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Raeisi</title> <meta name="description" content="Search results for: Soheila Raeisi"> <meta name="keywords" content="Soheila Raeisi"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none navbar-toggler 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id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="Soheila Raeisi"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 27</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: Soheila Raeisi</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27</span> The Importance of Customer Engagement and Service Innovation in Value Co-Creation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Soheila%20Raeisi">Soheila Raeisi</a>, <a href="https://publications.waset.org/abstracts/search?q=Meng%20Lingjie"> Meng Lingjie</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The interaction of customers with businesses is a process that is critical to the running of those businesses. Different levels of customer engagement and service innovation exist when pursuing value co-creation endeavors. The important thing in this whole process is for business managers know the benefits that can be realized when these activities are pursued effectively. The purpose of this paper is to first identify the importance of value co-creation when pursued via customer engagement and service innovation. Secondly, it will also identify the conditions under which value co-destruction can occur on the same. The background of the topic will be reviewed followed by the literature review with a special focus on the definition of these terms and the research design to be used. The research found that it is beneficial to have a strong relationship between stakeholders and the business in order to have strong customer engagement and service innovation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=customer%20engagement" title="customer engagement">customer engagement</a>, <a href="https://publications.waset.org/abstracts/search?q=service%20innovation" title=" service innovation"> service innovation</a>, <a href="https://publications.waset.org/abstracts/search?q=value%20co-creation" title=" value co-creation"> value co-creation</a>, <a href="https://publications.waset.org/abstracts/search?q=value%20co-destruction" title=" value co-destruction"> value co-destruction</a> </p> <a href="https://publications.waset.org/abstracts/62816/the-importance-of-customer-engagement-and-service-innovation-in-value-co-creation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/62816.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">356</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">26</span> An Agent-Service Oriented Framework for Online Contracts in Virtual Organizations</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zahra%20Raeisi">Zahra Raeisi</a>, <a href="https://publications.waset.org/abstracts/search?q=Reza%20Akbari"> Reza Akbari</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Contracting is known as one of the important tasks in virtual organization creation. Contracting is a costly process in terms of time and effort. One way to cut the time and effort is conducting contract electronically. The online contracting enable us to form virtual organization (VO) dynamically. This work presents an agent-service oriented framework for online contracting in virtual organizations. The proposed framework considers the main aspects and steps of traditional contracting process and uses the efficiency of service and agent based methodologies in order to provide a flexible and efficient way to establish contracts electronically in a VO. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=service%20oriented%20architecture" title="service oriented architecture">service oriented architecture</a>, <a href="https://publications.waset.org/abstracts/search?q=online%20contracts" title=" online contracts"> online contracts</a>, <a href="https://publications.waset.org/abstracts/search?q=agent-oriented%20architecture" title=" agent-oriented architecture"> agent-oriented architecture</a>, <a href="https://publications.waset.org/abstracts/search?q=virtual%20organization" title=" virtual organization"> virtual organization</a> </p> <a href="https://publications.waset.org/abstracts/15640/an-agent-service-oriented-framework-for-online-contracts-in-virtual-organizations" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/15640.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">504</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">25</span> A Comparative Analysis of a Custom Optimization Experiment with Confidence Intervals in Anylogic and Optquest</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Felipe%20Haro">Felipe Haro</a>, <a href="https://publications.waset.org/abstracts/search?q=Soheila%20Antar"> Soheila Antar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper introduces a custom optimization experiment developed in AnyLogic, based on genetic algorithms, designed to ensure reliable optimization results by incorporating Montecarlo simulations and achieving a specified confidence level. To validate the custom experiment, we compared its performance with AnyLogic's built-in OptQuest optimization method across three distinct problems. Statistical analyses, including Welch's t-test, were conducted to assess the differences in performance. The results demonstrate that while the custom experiment shows advantages in certain scenarios, both methods perform comparably in others, confirming the custom approach as a reliable and effective tool for optimization under uncertainty. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=optimization" title="optimization">optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=confidence%20intervals" title=" confidence intervals"> confidence intervals</a>, <a href="https://publications.waset.org/abstracts/search?q=Montecarlo%20simulation" title=" Montecarlo simulation"> Montecarlo simulation</a>, <a href="https://publications.waset.org/abstracts/search?q=optQuest" title=" optQuest"> optQuest</a>, <a href="https://publications.waset.org/abstracts/search?q=AnyLogic" title=" AnyLogic"> AnyLogic</a> </p> <a href="https://publications.waset.org/abstracts/193080/a-comparative-analysis-of-a-custom-optimization-experiment-with-confidence-intervals-in-anylogic-and-optquest" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/193080.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">17</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">24</span> Optimization of a Method of Total RNA Extraction from Mentha piperita</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Soheila%20Afkar">Soheila Afkar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Mentha piperita is a medicinal plant that contains a large amount of secondary metabolite that has adverse effect on RNA extraction. Since high quality of RNA is the first step to real time-PCR, in this study optimization of total RNA isolation from leaf tissues of Mentha piperita was evaluated. From this point of view, we researched two different total RNA extraction methods on leaves of Mentha piperita to find the best one that contributes the high quality. The methods tested are RNX-plus, modified RNX-plus (1-5 numbers). RNA quality was analyzed by agarose gel 1.5%. The RNA integrity was also assessed by visualization of ribosomal RNA bands on 1.5% agarose gels. In the modified RNX-plus method (number 2), the integrity of 28S and 18S rRNA was highly satisfactory when analyzed in agarose denaturing gel, so this method is suitable for RNA isolation from Mentha piperita. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mentha%20piperita" title="Mentha piperita">Mentha piperita</a>, <a href="https://publications.waset.org/abstracts/search?q=polyphenol" title=" polyphenol"> polyphenol</a>, <a href="https://publications.waset.org/abstracts/search?q=polysaccharide" title=" polysaccharide"> polysaccharide</a>, <a href="https://publications.waset.org/abstracts/search?q=RNA%20extraction" title=" RNA extraction"> RNA extraction</a> </p> <a href="https://publications.waset.org/abstracts/95845/optimization-of-a-method-of-total-rna-extraction-from-mentha-piperita" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/95845.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">190</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">23</span> 2.5D Face Recognition Using Gabor Discrete Cosine Transform</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ali%20Cheraghian">Ali Cheraghian</a>, <a href="https://publications.waset.org/abstracts/search?q=Farshid%20Hajati"> Farshid Hajati</a>, <a href="https://publications.waset.org/abstracts/search?q=Soheila%20Gheisari"> Soheila Gheisari</a>, <a href="https://publications.waset.org/abstracts/search?q=Yongsheng%20Gao"> Yongsheng Gao</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we present a novel 2.5D face recognition method based on Gabor Discrete Cosine Transform (GDCT). In the proposed method, the Gabor filter is applied to extract feature vectors from the texture and the depth information. Then, Discrete Cosine Transform (DCT) is used for dimensionality and redundancy reduction to improve computational efficiency. The system is combined texture and depth information in the decision level, which presents higher performance compared to methods, which use texture and depth information, separately. The proposed algorithm is examined on publically available Bosphorus database including models with pose variation. The experimental results show that the proposed method has a higher performance compared to the benchmark. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Gabor%20filter" title="Gabor filter">Gabor filter</a>, <a href="https://publications.waset.org/abstracts/search?q=discrete%20cosine%20transform" title=" discrete cosine transform"> discrete cosine transform</a>, <a href="https://publications.waset.org/abstracts/search?q=2.5d%20face%20recognition" title=" 2.5d face recognition"> 2.5d face recognition</a>, <a href="https://publications.waset.org/abstracts/search?q=pose" title=" pose"> pose</a> </p> <a href="https://publications.waset.org/abstracts/37341/25d-face-recognition-using-gabor-discrete-cosine-transform" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/37341.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">328</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">22</span> The Relationship between Quality of Life and Sexual Satisfaction in Women with Severe Burns</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jafar%20Kazemzadeh">Jafar Kazemzadeh</a>, <a href="https://publications.waset.org/abstracts/search?q=Soheila%20Rabiepoor"> Soheila Rabiepoor</a>, <a href="https://publications.waset.org/abstracts/search?q=Saeedeh%20Alizadeh"> Saeedeh Alizadeh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Introduction: Burn, especially in women, can affect the quality of life and their quality of life due to a change in appearance. This study was designed to investigate the relationship between quality of life and sexual satisfaction in women with burn. Methods: This was a descriptive-analytical cross-sectional study conducted on 101 women with severe burns referring to Imam Khomeini Hospital in Urmia in 2016. The data gathering scales were demographic questionnaire, burn specific health scale-brief (BSHS-B) and index of sexual satisfaction (ISS). The data were analyzed using SPSS software version 16. Results: Mean score of quality of life was 102.94 ± 20.88 and sexual satisfaction was 57.03 ± 25.91. Also, there was a significant relationship between quality of life and its subscales with sexual satisfaction and some demographic variables (p < 0.05). Conclusion: According to the results of this study, it should be noted that interventional efforts for improving sexual satisfaction and thus improving the quality of life in these patients are important. The findings of this study appear to be effective in planning for women with a history of burns. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=burn" title="burn">burn</a>, <a href="https://publications.waset.org/abstracts/search?q=quality%20of%20life" title=" quality of life"> quality of life</a>, <a href="https://publications.waset.org/abstracts/search?q=sexual%20satisfaction" title=" sexual satisfaction"> sexual satisfaction</a>, <a href="https://publications.waset.org/abstracts/search?q=women" title=" women"> women</a> </p> <a href="https://publications.waset.org/abstracts/100153/the-relationship-between-quality-of-life-and-sexual-satisfaction-in-women-with-severe-burns" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/100153.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">192</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21</span> Surface Geodesic Derivative Pattern for Deformable Textured 3D Object Comparison: Application to Expression and Pose Invariant 3D Face Recognition</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Farshid%20Hajati">Farshid Hajati</a>, <a href="https://publications.waset.org/abstracts/search?q=Soheila%20Gheisari"> Soheila Gheisari</a>, <a href="https://publications.waset.org/abstracts/search?q=Ali%20Cheraghian"> Ali Cheraghian</a>, <a href="https://publications.waset.org/abstracts/search?q=Yongsheng%20Gao"> Yongsheng Gao</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents a new Surface Geodesic Derivative Pattern (SGDP) for matching textured deformable 3D surfaces. SGDP encodes micro-pattern features based on local surface higher-order derivative variation. It extracts local information by encoding various distinctive textural relationships contained in a geodesic neighborhood, hence fusing texture and range information of a surface at the data level. Geodesic texture rings are encoded into local patterns for similarity measurement between non-rigid 3D surfaces. The performance of the proposed method is evaluated extensively on the Bosphorus and FRGC v2 face databases. Compared to existing benchmarks, experimental results show the effectiveness and superiority of combining the texture and 3D shape data at the earliest level in recognizing typical deformable faces under expression, illumination, and pose variations. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=3D%20face%20recognition" title="3D face recognition">3D face recognition</a>, <a href="https://publications.waset.org/abstracts/search?q=pose" title=" pose"> pose</a>, <a href="https://publications.waset.org/abstracts/search?q=expression" title=" expression"> expression</a>, <a href="https://publications.waset.org/abstracts/search?q=surface%20matching" title=" surface matching"> surface matching</a>, <a href="https://publications.waset.org/abstracts/search?q=texture" title=" texture"> texture</a> </p> <a href="https://publications.waset.org/abstracts/37340/surface-geodesic-derivative-pattern-for-deformable-textured-3d-object-comparison-application-to-expression-and-pose-invariant-3d-face-recognition" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/37340.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">392</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">20</span> The Power of a Vulnerable State: The Rights Revolution and the Emergence of Human Resources Management Departments</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Soheila%20Ghanbari">Soheila Ghanbari</a> </p> <p class="card-text"><strong>Abstract:</strong></p> After the Civil Rights Act of 1964 was enacted, federal policy transformed employment rights. Equal employment opportunity law, legislation for occupational safety and health, and regulations for fringe benefits were established to ensure that employees have rights to equal protection, health and safety, and the benefits guaranteed by employers. In research analyzing data from 279 organizations over time, it was discovered that legal changes prompted organizations to establish personnel, antidiscrimination, safety, and benefits departments to ensure compliance. However, as the process of institutionalization advanced, middle managers began to separate these fresh offices from policy and rationalize them solely in economic terms as a component of the new human resources management model. This common occurrence is seen in the United States, where the Constitution represents government control of business as unlawful. It could potentially clarify the extended lack of a state theory in organizational analysis and shed light on a puzzle pointed out by state theorists: the federal state is weak in terms of administration but strong in terms of norms. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=management" title="management">management</a>, <a href="https://publications.waset.org/abstracts/search?q=state" title=" state"> state</a>, <a href="https://publications.waset.org/abstracts/search?q=human" title=" human"> human</a>, <a href="https://publications.waset.org/abstracts/search?q=resources" title=" resources"> resources</a>, <a href="https://publications.waset.org/abstracts/search?q=employment" title=" employment"> employment</a> </p> <a href="https://publications.waset.org/abstracts/186390/the-power-of-a-vulnerable-state-the-rights-revolution-and-the-emergence-of-human-resources-management-departments" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/186390.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">51</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">19</span> The Role of Sexual Satisfaction Sexual Satisfaction in Marital Satisfaction Married Men</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Maghsoud%20Nader%20Pilehroud">Maghsoud Nader Pilehroud</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohmmad%20Alizadeh"> Mohmmad Alizadeh</a>, <a href="https://publications.waset.org/abstracts/search?q=Soheila%20Golipour"> Soheila Golipour</a>, <a href="https://publications.waset.org/abstracts/search?q=Sedigeh%20Tajabadipour"> Sedigeh Tajabadipour</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Aim: in terms of importance, sexual issues are of the highest priority in married life issues and sexual compatibility is of the most important reasons of success in married life and consequently marital satisfaction.the present research was conducted with the aim of The role of sexual satisfaction sexual satisfaction in marital satisfaction married men. Study Design: this research is descriptive and is of correlation type.Method: The statistical population includes all the married men of Ardebil city out of which, 60 men were chosen using random sampling as the research samples. The research instruments were ENRICH couple scale and Hudson sexual satisfaction scale. The findings were analyzed using descriptive statistics method (mean and standard deviation) and inferential statistics (Pearson's correlation and regression) and SPSS-16 software. Results: the results showed that sexual satisfaction has a positive and significant relationship with marital satisfaction and all of its components, and that sexual satisfaction can predict marital satisfaction. The results also showed that sexual and marital satisfaction, are not significantly related to any of the variables of education level, duration of marriage and number of children. conclusion: according to the results, it can be claimed that sexual skills training for couples can be influential at increasing their martial satisfaction, and that also, sexual satisfaction has an important role in marital satisfaction. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=sexual%20satisfaction" title="sexual satisfaction">sexual satisfaction</a>, <a href="https://publications.waset.org/abstracts/search?q=marital%20satisfaction" title=" marital satisfaction"> marital satisfaction</a>, <a href="https://publications.waset.org/abstracts/search?q=married%20men" title=" married men"> married men</a>, <a href="https://publications.waset.org/abstracts/search?q=Iran" title=" Iran"> Iran</a> </p> <a href="https://publications.waset.org/abstracts/158808/the-role-of-sexual-satisfaction-sexual-satisfaction-in-marital-satisfaction-married-men" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/158808.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">153</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">18</span> Settlement of the Foundation on the Improved Soil: A Case Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Morteza%20Karami">Morteza Karami</a>, <a href="https://publications.waset.org/abstracts/search?q=Soheila%20Dayani"> Soheila Dayani</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Deep Soil Mixing (DSM) is a soil improvement technique that involves mechanically mixing the soil with a binder material to improve its strength, stiffness, and durability. This technique is typically used in geotechnical engineering applications where weak or unstable soil conditions exist, such as in building foundations, embankment support, or ground improvement projects. In this study, the settlement of the foundation on the improved soil using the wet DSM technique has been analyzed for a case study. Before DSM production, the initial soil mixture has been determined based on the laboratory tests and then, the proper mix designs have been optimized based on the pilot scale tests. The results show that the spacing and depth of the DSM columns depend on the soil properties, the intended loading conditions, and other factors such as the available space and equipment limitations. Moreover, monitoring instruments installed in the pilot area verify that the settlement of the foundation has been placed in an acceptable range to ensure that the soil mixture is providing the required strength and stiffness to support the structure or load. As an important result, if the DSM columns touch or penetrate into the stiff soil layer, the settlement of the foundation can be significantly decreased. Furthermore, the DSM columns should be allowed to cure sufficiently before placing any significant loads on the structure to prevent excessive deformation or settlement. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=deep%20soil%20mixing" title="deep soil mixing">deep soil mixing</a>, <a href="https://publications.waset.org/abstracts/search?q=soil%20mixture" title=" soil mixture"> soil mixture</a>, <a href="https://publications.waset.org/abstracts/search?q=settlement" title=" settlement"> settlement</a>, <a href="https://publications.waset.org/abstracts/search?q=instrumentation" title=" instrumentation"> instrumentation</a>, <a href="https://publications.waset.org/abstracts/search?q=curing%20age" title=" curing age"> curing age</a> </p> <a href="https://publications.waset.org/abstracts/165910/settlement-of-the-foundation-on-the-improved-soil-a-case-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/165910.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">85</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">17</span> Employee Well-being in the Age of AI: Perceptions, Concerns, Behaviors, and Outcomes</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Soheila%20Sadeghi">Soheila Sadeghi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> — The growing integration of Artificial Intelligence (AI) into Human Resources (HR) processes has transformed the way organizations manage recruitment, performance evaluation, and employee engagement. While AI offers numerous advantages—such as improved efficiency, reduced bias, and hyper-personalization—it raises significant concerns about employee well-being, job security, fairness, and transparency. The study examines how AI shapes employee perceptions, job satisfaction, mental health, and retention. Key findings reveal that: (a) while AI can enhance efficiency and reduce bias, it also raises concerns about job security, fairness, and privacy; (b) transparency in AI systems emerges as a critical factor in fostering trust and positive employee attitudes; and (c) AI systems can both support and undermine employee well-being, depending on how they are implemented and perceived. The research introduces an AI-employee well-being Interaction Framework, illustrating how AI influences employee perceptions, behaviors, and outcomes. Organizational strategies, such as (a) clear communication, (b) upskilling programs, and (c) employee involvement in AI implementation, are identified as crucial for mitigating negative impacts and enhancing positive outcomes. The study concludes that the successful integration of AI in HR requires a balanced approach that (a) prioritizes employee well-being, (b) facilitates human-AI collaboration, and (c) ensures ethical and transparent AI practices alongside technological advancement. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=artificial%20intelligence" title="artificial intelligence">artificial intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=human%20resources" title=" human resources"> human resources</a>, <a href="https://publications.waset.org/abstracts/search?q=employee%20well-being" title=" employee well-being"> employee well-being</a>, <a href="https://publications.waset.org/abstracts/search?q=job%20satisfaction" title=" job satisfaction"> job satisfaction</a>, <a href="https://publications.waset.org/abstracts/search?q=organizational%20support" title=" organizational support"> organizational support</a>, <a href="https://publications.waset.org/abstracts/search?q=transparency%20in%20AI" title=" transparency in AI"> transparency in AI</a> </p> <a href="https://publications.waset.org/abstracts/190691/employee-well-being-in-the-age-of-ai-perceptions-concerns-behaviors-and-outcomes" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/190691.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">29</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">16</span> Developing a Health Literacy Questionnaire in Breast Cancer </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lida%20Moghaddam-Banaem">Lida Moghaddam-Banaem</a>, <a href="https://publications.waset.org/abstracts/search?q=Mahmood%20Tavoosi"> Mahmood Tavoosi</a>, <a href="https://publications.waset.org/abstracts/search?q=Soheila%20Khalili"> Soheila Khalili</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Objective: The main objective of this study was designing a breast cancer health literacy questionnaire and assess its psychometric properties. Methods: A comprehensive literature review was performed to develop a primary questionnaire consisting of five domains. Qualitative and quantitative content validity were assessed by relevant experts, and after some modifications, the content validity index (CVI) and content validity ratio (CVR) were calculated. Qualitative and quantitative face validity were evaluated by a number of patients, and the impact score for each item was calculated. 225 women with breast cancer were asked to fill out the questionnaire and construct validity was determined by using exploratory factor analysis. The reliability was tested by Cronbach's alpha coefficient. Results: A 36-item questionnaire with five domains of reading, having access, understanding, assessing/judgment, and decision making/behavior was designed. 2 items were omitted in the qualitative content validity process. All items achieved optimum values in CVI, CVR and impact scores. Content and face validity of the questionnaire were confirmed too. According to the exploratory factor analysis, the five-factor solution accounted for 64.98 percent of the observed variance. Conclusion: Due to the obtained satisfactory validity and reliability, this tool can be used to assess health literacy in women with breast cancer. Health policy makers can use these findings for improving health-related behaviors in breast cancer patients. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=health%20literacy" title="health literacy">health literacy</a>, <a href="https://publications.waset.org/abstracts/search?q=breast%20cancer" title=" breast cancer"> breast cancer</a>, <a href="https://publications.waset.org/abstracts/search?q=questionnaire" title=" questionnaire"> questionnaire</a>, <a href="https://publications.waset.org/abstracts/search?q=psychometric%20properties" title=" psychometric properties"> psychometric properties</a> </p> <a href="https://publications.waset.org/abstracts/80054/developing-a-health-literacy-questionnaire-in-breast-cancer" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/80054.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">235</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">15</span> The Prevalence of Intubation Induced Dental Complications among Hospitalized Patients</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dorsa%20Rahi">Dorsa Rahi</a>, <a href="https://publications.waset.org/abstracts/search?q=Arghavan%20Tonkanbonbi"> Arghavan Tonkanbonbi</a>, <a href="https://publications.waset.org/abstracts/search?q=Soheila%20Manifar"> Soheila Manifar</a>, <a href="https://publications.waset.org/abstracts/search?q=Behzad%20Jafvarnejad"> Behzad Jafvarnejad</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background and Aim: Intraoral manipulation is performed during endotracheal intubation for general anesthesia, which can traumatize the soft and hard tissue in the oral cavity and cause postoperative pain and discomfort. Dental trauma is the most common complication of intubation. This study aimed to assess the prevalence of dental complications due to intubation in patients hospitalized in Imam Khomeini Hospital during 2018-2019. Materials and Methods: A total of 805 patients presenting to the Cancer Institute of Imam Khomeini Hospital for preoperative anesthesia consultation were randomly enrolled. A dentist interviewed the patients and performed a comprehensive clinical oral examination preoperatively. The patients underwent clinical oral examination by another dentist postoperatively. Results: No significant correlation was found between dental trauma (tooth fracture, tooth mobility, or soft tissue injury) after intubation with the age or gender of patients. According to the Wilcoxon test and McNemar-Bowker Test, the rate of mobility before the intubation was significantly different from that after the intubation (P=0.000). Maxillary central incisors, maxillary left canine and mandibular right and left central incisors had the highest rate of fracture. Conclusion: Mobile teeth before the intubation are at higher risk of avulsion and aspiration during the procedure. Patients with primary temporomandibular joint disorders are more susceptible to post-intubation trismus. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=oral%20trauma" title="oral trauma">oral trauma</a>, <a href="https://publications.waset.org/abstracts/search?q=dental%20trauma" title=" dental trauma"> dental trauma</a>, <a href="https://publications.waset.org/abstracts/search?q=intubation" title=" intubation"> intubation</a>, <a href="https://publications.waset.org/abstracts/search?q=anesthesia" title=" anesthesia "> anesthesia </a> </p> <a href="https://publications.waset.org/abstracts/134016/the-prevalence-of-intubation-induced-dental-complications-among-hospitalized-patients" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/134016.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">148</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">14</span> Theoretical and Experimental Investigation of Heat Pipes for Solar Collector Applications</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Alireza%20Ghadiri">Alireza Ghadiri</a>, <a href="https://publications.waset.org/abstracts/search?q=Soheila%20Memarzadeh"> Soheila Memarzadeh</a>, <a href="https://publications.waset.org/abstracts/search?q=Arash%20Ghadiri"> Arash Ghadiri</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Heat pipes are efficient heat transfer devices for solar hot water heating systems. However, the effective downward transfer of solar energy in an integrated heat pipe system provides increased design and implementation options. There is a lack of literature about flat plate wicked assisted heat pipe solar collector, especially with the presence of finned water-cooled condenser wicked heat pipes for solar energy applications. In this paper, the consequence of incorporating fins arrays into the condenser region of screen mesh heat pipe solar collector is investigated. An experimental model and a transient theoretical model are conducted to compare the performances of the solar heating system at a different period of the year. A good agreement is shown between the model and the experiment. Two working fluids are investigated (water and methanol) and results reveal that water slightly outperforms methanol with a collector instantaneous efficiency of nearly 60%. That modest improvement is achieved by adding fins to the condenser region of the heat pipes. Results show that the collector efficiency increase as the number of fins increases (upon certain number) and reveal that the mesh number is an important factor which affect the overall collector efficiency. An optimal heat pipe mesh number of 100 meshes/in. With two layers appears to be favorable in such collectors for their design and operating conditions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=heat%20pipe" title="heat pipe">heat pipe</a>, <a href="https://publications.waset.org/abstracts/search?q=solar%20collector" title=" solar collector"> solar collector</a>, <a href="https://publications.waset.org/abstracts/search?q=capillary%20limit" title=" capillary limit"> capillary limit</a>, <a href="https://publications.waset.org/abstracts/search?q=mesh%20number" title=" mesh number"> mesh number</a> </p> <a href="https://publications.waset.org/abstracts/17747/theoretical-and-experimental-investigation-of-heat-pipes-for-solar-collector-applications" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/17747.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">438</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">13</span> Prediction of B-Cell Epitope for 24 Mite Allergens: An in Silico Approach towards Epitope-Based Immune Therapeutics</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Narjes%20Ebrahimi">Narjes Ebrahimi</a>, <a href="https://publications.waset.org/abstracts/search?q=Soheila%20Alyasin"> Soheila Alyasin</a>, <a href="https://publications.waset.org/abstracts/search?q=Navid%20Nezafat"> Navid Nezafat</a>, <a href="https://publications.waset.org/abstracts/search?q=Hossein%20Esmailzadeh"> Hossein Esmailzadeh</a>, <a href="https://publications.waset.org/abstracts/search?q=Younes%20%20Ghasemi"> Younes Ghasemi</a>, <a href="https://publications.waset.org/abstracts/search?q=Seyed%20Hesamodin%20Nabavizadeh"> Seyed Hesamodin Nabavizadeh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Immunotherapy with allergy vaccines is of great importance in allergen-specific immunotherapy. In recent years, B-cell epitope-based vaccines have attracted considerable attention and the prediction of epitopes is crucial to design these types of allergy vaccines. B-cell epitopes might be linear or conformational. The prerequisite for the identification of conformational epitopes is the information about allergens' tertiary structures. Bioinformatics approaches have paved the way towards the design of epitope-based allergy vaccines through the prediction of tertiary structures and epitopes. Mite allergens are one of the major allergy contributors. Several mite allergens can elicit allergic reactions; however, their structures and epitopes are not well established. So, B-cell epitopes of various groups of mite allergens (24 allergens in 6 allergen groups) were predicted in the present work. Tertiary structures of 17 allergens with unknown structure were predicted and refined with RaptorX and GalaxyRefine servers, respectively. The predicted structures were further evaluated by Rampage, ProSA-web, ERRAT and Verify 3D servers. Linear and conformational B-cell epitopes were identified with Ellipro, Bcepred, and DiscoTope 2 servers. To improve the accuracy level, consensus epitopes were selected. Fifty-four conformational and 133 linear consensus epitopes were predicted. Furthermore, overlapping epitopes in each allergen group were defined, following the sequence alignment of the allergens in each group. The predicted epitopes were also compared with the experimentally identified epitopes. The presented results provide valuable information for further studies about allergy vaccine design. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=B-cell%20epitope" title="B-cell epitope">B-cell epitope</a>, <a href="https://publications.waset.org/abstracts/search?q=Immunotherapy" title=" Immunotherapy"> Immunotherapy</a>, <a href="https://publications.waset.org/abstracts/search?q=In%20silico%20prediction" title=" In silico prediction"> In silico prediction</a>, <a href="https://publications.waset.org/abstracts/search?q=Mite%20allergens" title=" Mite allergens"> Mite allergens</a>, <a href="https://publications.waset.org/abstracts/search?q=Tertiary%20structure" title=" Tertiary structure"> Tertiary structure</a> </p> <a href="https://publications.waset.org/abstracts/98133/prediction-of-b-cell-epitope-for-24-mite-allergens-an-in-silico-approach-towards-epitope-based-immune-therapeutics" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/98133.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">160</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">12</span> Enhancing Project Performance Forecasting using Machine Learning Techniques</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Soheila%20Sadeghi">Soheila Sadeghi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Accurate forecasting of project performance metrics is crucial for successfully managing and delivering urban road reconstruction projects. Traditional methods often rely on static baseline plans and fail to consider the dynamic nature of project progress and external factors. This research proposes a machine learning-based approach to forecast project performance metrics, such as cost variance and earned value, for each Work Breakdown Structure (WBS) category in an urban road reconstruction project. The proposed model utilizes time series forecasting techniques, including Autoregressive Integrated Moving Average (ARIMA) and Long Short-Term Memory (LSTM) networks, to predict future performance based on historical data and project progress. The model also incorporates external factors, such as weather patterns and resource availability, as features to enhance the accuracy of forecasts. By applying the predictive power of machine learning, the performance forecasting model enables proactive identification of potential deviations from the baseline plan, which allows project managers to take timely corrective actions. The research aims to validate the effectiveness of the proposed approach using a case study of an urban road reconstruction project, comparing the model's forecasts with actual project performance data. The findings of this research contribute to the advancement of project management practices in the construction industry, offering a data-driven solution for improving project performance monitoring and control. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=project%20performance%20forecasting" title="project performance forecasting">project performance forecasting</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=time%20series%20forecasting" title=" time series forecasting"> time series forecasting</a>, <a href="https://publications.waset.org/abstracts/search?q=cost%20variance" title=" cost variance"> cost variance</a>, <a href="https://publications.waset.org/abstracts/search?q=earned%20value%20management" title=" earned value management"> earned value management</a> </p> <a href="https://publications.waset.org/abstracts/186996/enhancing-project-performance-forecasting-using-machine-learning-techniques" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/186996.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">49</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">11</span> A Case Study on Machine Learning-Based Project Performance Forecasting for an Urban Road Reconstruction Project</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Soheila%20Sadeghi">Soheila Sadeghi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In construction projects, predicting project performance metrics accurately is essential for effective management and successful delivery. However, conventional methods often depend on fixed baseline plans, disregarding the evolving nature of project progress and external influences. To address this issue, we introduce a distinct approach based on machine learning to forecast key performance indicators, such as cost variance and earned value, for each Work Breakdown Structure (WBS) category within an urban road reconstruction project. Our proposed model leverages time series forecasting techniques, namely Autoregressive Integrated Moving Average (ARIMA) and Long Short-Term Memory (LSTM) networks, to predict future performance by analyzing historical data and project progress. Additionally, the model incorporates external factors, including weather patterns and resource availability, as features to improve forecast accuracy. By harnessing the predictive capabilities of machine learning, our performance forecasting model enables project managers to proactively identify potential deviations from the baseline plan and take timely corrective measures. To validate the effectiveness of the proposed approach, we conduct a case study on an urban road reconstruction project, comparing the model's predictions with actual project performance data. The outcomes of this research contribute to the advancement of project management practices in the construction industry by providing a data-driven solution for enhancing project performance monitoring and control. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=project%20performance%20forecasting" title="project performance forecasting">project performance forecasting</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=time%20series%20forecasting" title=" time series forecasting"> time series forecasting</a>, <a href="https://publications.waset.org/abstracts/search?q=cost%20variance" title=" cost variance"> cost variance</a>, <a href="https://publications.waset.org/abstracts/search?q=schedule%20variance" title=" schedule variance"> schedule variance</a>, <a href="https://publications.waset.org/abstracts/search?q=earned%20value%20management" title=" earned value management"> earned value management</a> </p> <a href="https://publications.waset.org/abstracts/186997/a-case-study-on-machine-learning-based-project-performance-forecasting-for-an-urban-road-reconstruction-project" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/186997.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">39</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">10</span> The Survey of Sexual Health and Pornography among Divorce-Asking Women in West Azerbaijan-Iran: A Cross-Sectional Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Soheila%20Rabiepoor">Soheila Rabiepoor</a>, <a href="https://publications.waset.org/abstracts/search?q=Elham%20Sadeghi"> Elham Sadeghi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Introduction: Divorce is both a personal and a social issue. Nowadays, due to various factors such as rapid social, economical, and cultural changes, the family structure has undergone many rough changes, out of 3 marriages 2 of them lead to divorce. One of the factors affecting the incidence of divorce and relationship problems between couples is the sexual and marital behaviors. There are several different reasons to suspect that pornography might affect divorce in either a positive or a negative way. Therefore this study evaluated the sexual health of divorce-asking in Urmia, Iran. Methods: This was a cross-sectional descriptive study and was conducted on 71 married women of Urmia, Iran in 2016. Participants were applicants of divorce (referred to divorce center) who were selected by using convenient sampling method. Data gathering tool included the scales for measuring demographic, sexual health (sexual satisfaction and function), and researcher made pornography questions. Data were analyzed based on the SPSS 16 software. P-values less than 0.05 were considered significant. Results: Investigation of demographic features showed that age average of studied samples was 28.98 ± 7.44, with a marriage duration average 8.12 ± 6.53 years (min 1 year/ max 28 years). Most of their education was at diploma (45.1%). 69 % of the women declared their income and expenditure as equal. Nearly 42% of women and 59% of their partner had watched sexual pornography clips. 45.5% of participants reported that they compared own sexual relationship with sexual pornography clips. In the other hand, sexual satisfaction total score was 51.50 ± 17.92. The mean total sexual function score was 16.62 ± 10.58. According to these findings, most of women were experienced sexual dissatisfaction and dysfunction. Conclusions: The results of the study indicated that who had low sexual satisfaction score, had higher rate of watching pornography clips. Based on current study, paying attention to family education and counseling programs especially in the sexual field will be more fruitful. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=divorce-asking" title="divorce-asking">divorce-asking</a>, <a href="https://publications.waset.org/abstracts/search?q=pornography" title=" pornography"> pornography</a>, <a href="https://publications.waset.org/abstracts/search?q=sexual%20satisfaction" title=" sexual satisfaction"> sexual satisfaction</a>, <a href="https://publications.waset.org/abstracts/search?q=sexual%20function" title=" sexual function"> sexual function</a>, <a href="https://publications.waset.org/abstracts/search?q=women" title=" women"> women</a> </p> <a href="https://publications.waset.org/abstracts/81335/the-survey-of-sexual-health-and-pornography-among-divorce-asking-women-in-west-azerbaijan-iran-a-cross-sectional-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/81335.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">585</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">9</span> Concentrated Whey Protein Drink with Orange Flavor: Protein Modification and Formulation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shahram%20Naghizadeh%20Raeisi">Shahram Naghizadeh Raeisi</a>, <a href="https://publications.waset.org/abstracts/search?q=Ali%20Alghooneh"> Ali Alghooneh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The application of whey protein in drink industry to enhance the nutritional value of the products is important. Furthermore, the gelification of protein during thermal treatment and shelf life makes some limitations in its application. So, the main goal of this research is manufacturing of high concentrate whey protein orange drink with appropriate shelf life. In this way, whey protein was 5 to 30% hydrolyzed ( in 5 percent intervals at six stages), then thermal stability of samples with 10% concentration of protein was tested in acidic condition (T= 90 °C, pH=4.2, 5 minutes ) and neutral condition (T=120° C, pH:6.7, 20 minutes.) Furthermore, to study the shelf life of heat treated samples in 4 months at 4 and 24 °C, the time sweep rheological test were done. At neutral conditions, 5 to 20% hydrolyzed sample showed gelling during thermal treatment, whereas at acidic condition, was happened only in 5 to 10 percent hydrolyzed samples. This phenomenon could be related to the difference in hydrodynamic radius and zeta potential of samples with different level of hydrolyzation at acidic and neutral conditions. To study the gelification of heat resistant protein solutions during shelf life, for 4 months with 7 days intervals, the time sweep analysis were performed. Cross over was observed for all heat resistant neutral samples at both storage temperature, while in heat resistant acidic samples with degree of hydrolysis, 25 and 30 percentage at 4 and 20 °C, it was not seen. It could be concluded that the former sample was stable during heat treatment and 4 months storage, which made them a good choice for manufacturing high protein drinks. The Scheffe polynomial model and numerical optimization were employed for modeling and high protein orange drink formula optimization. Scheffe model significantly predicted the overal acceptance index (Pvalue<0.05) of sensorial analysis. The coefficient of determination (R2) of 0.94, the adjusted coefficient of determination (R2Adj) of 0.90, insignificance of the lack-of-fit test and F value of 64.21 showed the accuracy of the model. Moreover, the coefficient of variable (C.V) was 6.8% which suggested the replicability of the experimental data. The desirability function had been achieved to be 0.89, which indicates the high accuracy of optimization. The optimum formulation was found as following: Modified whey protein solution (65.30%), natural orange juice (33.50%), stevia sweetener (0.05%), orange peel oil (0.15%) and citric acid (1 %), respectively. Its worth mentioning that this study made an appropriate model for application of whey protein in drink industry without bitter flavor and gelification during heat treatment and shelf life. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=croos%20over" title="croos over">croos over</a>, <a href="https://publications.waset.org/abstracts/search?q=orange%20beverage" title=" orange beverage"> orange beverage</a>, <a href="https://publications.waset.org/abstracts/search?q=protein%20modification" title=" protein modification"> protein modification</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</a> </p> <a href="https://publications.waset.org/abstracts/170915/concentrated-whey-protein-drink-with-orange-flavor-protein-modification-and-formulation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/170915.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">62</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8</span> The Scientific Study of the Relationship Between Physicochemical and Microstructural Properties of Ultrafiltered Cheese: Protein Modification and Membrane Separation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shahram%20Naghizadeh%20Raeisi">Shahram Naghizadeh Raeisi</a>, <a href="https://publications.waset.org/abstracts/search?q=Ali%20Alghooneh"> Ali Alghooneh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The loss of curd cohesiveness and syneresis are two common problems in the ultrafiltered cheese industry. In this study, by using membrane technology and protein modification, a modified cheese was developed and its properties were compared with a control sample. In order to decrease the lactose content and adjust the protein, acidity, dry matter and milk minerals, a combination of ultrafiltration, nanofiltration and reverse osmosis technologies was employed. For protein modification, a two-stage chemical and enzymatic reaction was employed before and after ultrafiltration. The physicochemical and microstructural properties of the modified ultrafiltered cheese were compared with the control one. Results showed that the modified protein enhanced the functional properties of the final cheese significantly (pvalue< 0.05), even if the protein content was 50% lower than the control one. The modified cheese showed 21 ± 0.70, 18 ± 1.10 & 25±1.65% higher hardness, cohesiveness and water-holding capacity values, respectively, than the control sample. This behavior could be explained by the developed microstructure of the gel network. Furthermore, chemical-enzymatic modification of milk protein induced a significant change in the network parameter of the final cheese. In this way, the indices of network linkage strength, network linkage density, and time scale of junctions were 10.34 ± 0.52, 68.50 ± 2.10 & 82.21 ± 3.85% higher than the control sample, whereas the distance between adjacent linkages was 16.77 ± 1.10% lower than the control sample. These results were supported by the results of the textural analysis. A non-linear viscoelastic study showed a triangle waveform stress of the modified protein contained cheese, while the control sample showed rectangular waveform stress, which suggested a better sliceability of the modified cheese. Moreover, to study the shelf life of the products, the acidity, as well as molds and yeast population, were determined in 120 days. It’s worth mentioning that the lactose content of modified cheese was adjusted at 2.5% before fermentation, while the lactose of the control one was at 4.5%. The control sample showed 8 weeks shelf life, while the shelf life of the modified cheese was 18 weeks in the refrigerator. During 18 weeks, the acidity of modified and control samples increased from 82 ± 1.50 to 94 ± 2.20 °D and 88 ± 1.64 to 194 ± 5.10 °D, respectively. The mold and yeast populations, with time, followed the semicircular shape model (R2 = 0.92, R2adj = 0.89, RMSE = 1.25). Furthermore, the mold and yeast counts and their growth rate in the modified cheese were lower than those for control one; Aforementioned result could be explained by the shortage of the source of energy for the microorganism in the modified cheese. The lactose content of the modified sample was less than 0.2 ± 0.05% at the end of fermentation, while this was 3.7 ± 0.68% in the control sample. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=non-linear%20viscoelastic" title="non-linear viscoelastic">non-linear viscoelastic</a>, <a href="https://publications.waset.org/abstracts/search?q=protein%20modification" title=" protein modification"> protein modification</a>, <a href="https://publications.waset.org/abstracts/search?q=semicircular%20shape%20model" title=" semicircular shape model"> semicircular shape model</a>, <a href="https://publications.waset.org/abstracts/search?q=ultrafiltered%20cheese" title=" ultrafiltered cheese"> ultrafiltered cheese</a> </p> <a href="https://publications.waset.org/abstracts/170323/the-scientific-study-of-the-relationship-between-physicochemical-and-microstructural-properties-of-ultrafiltered-cheese-protein-modification-and-membrane-separation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/170323.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">74</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7</span> Overcoming Obstacles in UHTHigh-protein Whey Beverages by Microparticulation Process: Scientific and Technological Aspects</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shahram%20Naghizadeh%20Raeisi">Shahram Naghizadeh Raeisi</a>, <a href="https://publications.waset.org/abstracts/search?q=Ali%20Alghooneh"> Ali Alghooneh</a>, <a href="https://publications.waset.org/abstracts/search?q=Seyed%20Jalal%20Razavi%20Zahedkolaei"> Seyed Jalal Razavi Zahedkolaei</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Herein, a shelf stable (no refrigeration required) UHT processed, aseptically packaged whey protein drink was formulated by using a new strategy in microparticulate process. Applying thermal and two-dimensional mechanical treatments simultaneously, a modified protein (MWPC-80) was produced. Then the physical, thermal and thermodynamic properties of MWPC-80 were assessed using particle size analysis, dynamic temperature sweep (DTS), and differential scanning calorimetric (DSC) tests. Finally, using MWPC-80, a new RTD beverage was formulated, and shelf stability was assessed for three months at ambient temperature (25 °C). Non-isothermal dynamic temperature sweep was performed, and the results were analyzed by a combination of classic rate equation, Arrhenius equation, and time-temperature relationship. Generally, results showed that temperature dependency of the modified sample was significantly (Pvalue<0.05) less than the control one contained WPC-80. The changes in elastic modulus of the MWPC did not show any critical point at all the processed stages, whereas, the control sample showed two critical points during heating (82.5 °C) and cooling (71.10 °C) stages. Thermal properties of samples (WPC-80 & MWPC-80) were assessed using DSC with 4 °C /min heating speed at 20-90 °C heating range. Results did not show any thermal peak in MWPC DSC curve, which suggested high thermal resistance. On the other hands, WPC-80 sample showed a significant thermal peak with thermodynamic properties of ∆G:942.52 Kj/mol ∆H:857.04 Kj/mole and ∆S:-1.22Kj/mole°K. Dynamic light scattering was performed and results showed 0.7 µm and 15 nm average particle size for MWPC-80 and WPC-80 samples, respectively. Moreover, particle size distribution of MWPC-80 and WPC-80 were Gaussian-Lutresian and normal, respectively. After verification of microparticulation process by DTS, PSD and DSC analyses, a 10% why protein beverage (10% w/w/ MWPC-80, 0.6% w/w vanilla flavoring agent, 0.1% masking flavor, 0.05% stevia natural sweetener and 0.25% citrate buffer) was formulated and UHT treatment was performed at 137 °C and 4 s. Shelf life study did not show any jellification or precipitation of MWPC-80 contained beverage during three months storage at ambient temperature, whereas, WPC-80 contained beverage showed significant precipitation and jellification after thermal processing, even at 3% w/w concentration. Consumer knowledge on nutritional advantages of whey protein increased the request for using this protein in different food systems especially RTD beverages. These results could make a huge difference in this industry. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=high%20protein%20whey%20beverage" title="high protein whey beverage">high protein whey beverage</a>, <a href="https://publications.waset.org/abstracts/search?q=micropartiqulation" title=" micropartiqulation"> micropartiqulation</a>, <a href="https://publications.waset.org/abstracts/search?q=two-dimentional%20mechanical%20treatments" title=" two-dimentional mechanical treatments"> two-dimentional mechanical treatments</a>, <a href="https://publications.waset.org/abstracts/search?q=thermodynamic%20properties" title=" thermodynamic properties"> thermodynamic properties</a> </p> <a href="https://publications.waset.org/abstracts/169209/overcoming-obstacles-in-uhthigh-protein-whey-beverages-by-microparticulation-process-scientific-and-technological-aspects" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/169209.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">73</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">6</span> Predicting Costs in Construction Projects with Machine Learning: A Detailed Study Based on Activity-Level Data</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Soheila%20Sadeghi">Soheila Sadeghi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Construction projects are complex and often subject to significant cost overruns due to the multifaceted nature of the activities involved. Accurate cost estimation is crucial for effective budget planning and resource allocation. Traditional methods for predicting overruns often rely on expert judgment or analysis of historical data, which can be time-consuming, subjective, and may fail to consider important factors. However, with the increasing availability of data from construction projects, machine learning techniques can be leveraged to improve the accuracy of overrun predictions. This study applied machine learning algorithms to enhance the prediction of cost overruns in a case study of a construction project. The methodology involved the development and evaluation of two machine learning models: Random Forest and Neural Networks. Random Forest can handle high-dimensional data, capture complex relationships, and provide feature importance estimates. Neural Networks, particularly Deep Neural Networks (DNNs), are capable of automatically learning and modeling complex, non-linear relationships between input features and the target variable. These models can adapt to new data, reduce human bias, and uncover hidden patterns in the dataset. The findings of this study demonstrate that both Random Forest and Neural Networks can significantly improve the accuracy of cost overrun predictions compared to traditional methods. The Random Forest model also identified key cost drivers and risk factors, such as changes in the scope of work and delays in material delivery, which can inform better project risk management. However, the study acknowledges several limitations. First, the findings are based on a single construction project, which may limit the generalizability of the results to other projects or contexts. Second, the dataset, although comprehensive, may not capture all relevant factors influencing cost overruns, such as external economic conditions or political factors. Third, the study focuses primarily on cost overruns, while schedule overruns are not explicitly addressed. Future research should explore the application of machine learning techniques to a broader range of projects, incorporate additional data sources, and investigate the prediction of both cost and schedule overruns simultaneously. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cost%20prediction" title="cost prediction">cost prediction</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=project%20management" title=" project management"> project management</a>, <a href="https://publications.waset.org/abstracts/search?q=random%20forest" title=" random forest"> random forest</a>, <a href="https://publications.waset.org/abstracts/search?q=neural%20networks" title=" neural networks"> neural networks</a> </p> <a href="https://publications.waset.org/abstracts/187028/predicting-costs-in-construction-projects-with-machine-learning-a-detailed-study-based-on-activity-level-data" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/187028.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">54</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5</span> A Machine Learning Approach for Efficient Resource Management in Construction Projects</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Soheila%20Sadeghi">Soheila Sadeghi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Construction projects are complex and often subject to significant cost overruns due to the multifaceted nature of the activities involved. Accurate cost estimation is crucial for effective budget planning and resource allocation. Traditional methods for predicting overruns often rely on expert judgment or analysis of historical data, which can be time-consuming, subjective, and may fail to consider important factors. However, with the increasing availability of data from construction projects, machine learning techniques can be leveraged to improve the accuracy of overrun predictions. This study applied machine learning algorithms to enhance the prediction of cost overruns in a case study of a construction project. The methodology involved the development and evaluation of two machine learning models: Random Forest and Neural Networks. Random Forest can handle high-dimensional data, capture complex relationships, and provide feature importance estimates. Neural Networks, particularly Deep Neural Networks (DNNs), are capable of automatically learning and modeling complex, non-linear relationships between input features and the target variable. These models can adapt to new data, reduce human bias, and uncover hidden patterns in the dataset. The findings of this study demonstrate that both Random Forest and Neural Networks can significantly improve the accuracy of cost overrun predictions compared to traditional methods. The Random Forest model also identified key cost drivers and risk factors, such as changes in the scope of work and delays in material delivery, which can inform better project risk management. However, the study acknowledges several limitations. First, the findings are based on a single construction project, which may limit the generalizability of the results to other projects or contexts. Second, the dataset, although comprehensive, may not capture all relevant factors influencing cost overruns, such as external economic conditions or political factors. Third, the study focuses primarily on cost overruns, while schedule overruns are not explicitly addressed. Future research should explore the application of machine learning techniques to a broader range of projects, incorporate additional data sources, and investigate the prediction of both cost and schedule overruns simultaneously. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=resource%20allocation" title="resource allocation">resource allocation</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=data-driven%20decision-making" title=" data-driven decision-making"> data-driven decision-making</a>, <a href="https://publications.waset.org/abstracts/search?q=project%20management" title=" project management"> project management</a> </p> <a href="https://publications.waset.org/abstracts/187029/a-machine-learning-approach-for-efficient-resource-management-in-construction-projects" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/187029.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">38</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4</span> Predicting the Impact of Scope Changes on Project Cost and Schedule Using Machine Learning Techniques</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Soheila%20Sadeghi">Soheila Sadeghi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the dynamic landscape of project management, scope changes are an inevitable reality that can significantly impact project performance. These changes, whether initiated by stakeholders, external factors, or internal project dynamics, can lead to cost overruns and schedule delays. Accurately predicting the consequences of these changes is crucial for effective project control and informed decision-making. This study aims to develop predictive models to estimate the impact of scope changes on project cost and schedule using machine learning techniques. The research utilizes a comprehensive dataset containing detailed information on project tasks, including the Work Breakdown Structure (WBS), task type, productivity rate, estimated cost, actual cost, duration, task dependencies, scope change magnitude, and scope change timing. Multiple machine learning models are developed and evaluated to predict the impact of scope changes on project cost and schedule. These models include Linear Regression, Decision Tree, Ridge Regression, Random Forest, Gradient Boosting, and XGBoost. The dataset is split into training and testing sets, and the models are trained using the preprocessed data. Cross-validation techniques are employed to assess the robustness and generalization ability of the models. The performance of the models is evaluated using metrics such as Mean Squared Error (MSE) and R-squared. Residual plots are generated to assess the goodness of fit and identify any patterns or outliers. Hyperparameter tuning is performed to optimize the XGBoost model and improve its predictive accuracy. The feature importance analysis reveals the relative significance of different project attributes in predicting the impact on cost and schedule. Key factors such as productivity rate, scope change magnitude, task dependencies, estimated cost, actual cost, duration, and specific WBS elements are identified as influential predictors. The study highlights the importance of considering both cost and schedule implications when managing scope changes. The developed predictive models provide project managers with a data-driven tool to proactively assess the potential impact of scope changes on project cost and schedule. By leveraging these insights, project managers can make informed decisions, optimize resource allocation, and develop effective mitigation strategies. The findings of this research contribute to improved project planning, risk management, and overall project success. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cost%20impact" title="cost impact">cost impact</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=predictive%20modeling" title=" predictive modeling"> predictive modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=schedule%20impact" title=" schedule impact"> schedule impact</a>, <a href="https://publications.waset.org/abstracts/search?q=scope%20changes" title=" scope changes"> scope changes</a> </p> <a href="https://publications.waset.org/abstracts/187305/predicting-the-impact-of-scope-changes-on-project-cost-and-schedule-using-machine-learning-techniques" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/187305.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">39</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3</span> Good Functional Outcome after Late Surgical Treatment for Traumatic Rotator Cuff Tear, a Retrospective Cohort Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Soheila%20Zhaeentan">Soheila Zhaeentan</a>, <a href="https://publications.waset.org/abstracts/search?q=Anders%20Von%20Heijne"> Anders Von Heijne</a>, <a href="https://publications.waset.org/abstracts/search?q=Elisabet%20Hagert"> Elisabet Hagert</a>, <a href="https://publications.waset.org/abstracts/search?q=Andr%C3%A9%20Stark"> André Stark</a>, <a href="https://publications.waset.org/abstracts/search?q=Bj%C3%B6rn%20Salomonsson"> Björn Salomonsson</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Recommended treatment for traumatic rotator cuff tear (TRCT) is surgery within a few weeks after injury if the diagnosis is made early, especially if a functional impairment of the shoulder exists. This may lead to the assumption that a poor outcome then can be expected in delayed surgical treatment, when the patient is diagnosed at a later stage. The aim of this study was to investigate if a surgical repair later than three months after injury may result in successful outcomes and patient satisfaction. There is evidence in literature that good results of treatment can be expected up to three months after the injury, but little is known of later treatment with cuff repair. 73 patients (75 shoulders), 58 males/17 females, mean age 59 (range 34-‐72), who had undergone surgical intervention for TRCT between January 1999 to December 2011 at our clinic, were included in this study. Patients were assessed by MRI investigation, clinical examination, Western Ontario Rotator Cuff index (WORC), Oxford Shoulder Score, Constant-‐Murley Score, EQ-‐5D and patient subjective satisfaction at follow-‐up. The patients treated surgically within three months ( < 12 weeks) after injury (39 cases) were compared with patients treated more than three months ( ≥ 12 weeks) after injury (36 cases). WORC was used as the primary outcome measure and the other variables as secondary. A senior consultant radiologist, blinded to patient category and clinical outcome, evaluated all MRI-‐images. Rotator cuff integrity, presence of arthritis, fatty degeneration and muscle atrophy was evaluated in all cases. The average follow-‐up time was 56 months (range 14-‐149) and the average time from injury to repair was 16 weeks (range 3-‐104). No statistically significant differences were found for any of the assessed parameters or scores between the two groups. The mean WORC score was 77 (early group, range 25-‐ 100 and late group, range 27-‐100) for both groups (p= 0.86), Constant-‐Murley Score (p= 0.91), Oxford Shoulder Score (p= 0.79), EQ-‐5D index (p= 0.86). Re-‐tear frequency was 24% for both groups, and the patients with re-‐tear reported less satisfaction with outcome. Discussion and conclusion: This study shows that surgical repair of TRCT performed later than three months after injury may result in good functional outcomes and patient satisfaction. However, this does not motivate an intentional delay in surgery when there is an indication for surgical repair as that delay may adversely affect the possibility to perform a repair. Our results show that surgeons may safely consider surgical repair even if a delay in diagnosis has occurred. A retrospective cohort study on 75 shoulders shows good functional result after traumatic rotator cuff tear (TRCT) treated surgically up to one year after the injury. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=traumatic%20rotator%20cuff%20injury" title="traumatic rotator cuff injury">traumatic rotator cuff injury</a>, <a href="https://publications.waset.org/abstracts/search?q=time%20to%20surgery" title=" time to surgery"> time to surgery</a>, <a href="https://publications.waset.org/abstracts/search?q=surgical%20outcome" title=" surgical outcome"> surgical outcome</a>, <a href="https://publications.waset.org/abstracts/search?q=retrospective%20cohort%20study" title=" retrospective cohort study"> retrospective cohort study</a> </p> <a href="https://publications.waset.org/abstracts/6140/good-functional-outcome-after-late-surgical-treatment-for-traumatic-rotator-cuff-tear-a-retrospective-cohort-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/6140.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">223</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2</span> Quantitative Analysis of Contract Variations Impact on Infrastructure Project Performance</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Soheila%20Sadeghi">Soheila Sadeghi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Infrastructure projects often encounter contract variations that can significantly deviate from the original tender estimates, leading to cost overruns, schedule delays, and financial implications. This research aims to quantitatively assess the impact of changes in contract variations on project performance by conducting an in-depth analysis of a comprehensive dataset from the Regional Airport Car Park project. The dataset includes tender budget, contract quantities, rates, claims, and revenue data, providing a unique opportunity to investigate the effects of variations on project outcomes. The study focuses on 21 specific variations identified in the dataset, which represent changes or additions to the project scope. The research methodology involves establishing a baseline for the project's planned cost and scope by examining the tender budget and contract quantities. Each variation is then analyzed in detail, comparing the actual quantities and rates against the tender estimates to determine their impact on project cost and schedule. The claims data is utilized to track the progress of work and identify deviations from the planned schedule. The study employs statistical analysis using R to examine the dataset, including tender budget, contract quantities, rates, claims, and revenue data. Time series analysis is applied to the claims data to track progress and detect variations from the planned schedule. Regression analysis is utilized to investigate the relationship between variations and project performance indicators, such as cost overruns and schedule delays. The research findings highlight the significance of effective variation management in construction projects. The analysis reveals that variations can have a substantial impact on project cost, schedule, and financial outcomes. The study identifies specific variations that had the most significant influence on the Regional Airport Car Park project's performance, such as PV03 (additional fill, road base gravel, spray seal, and asphalt), PV06 (extension to the commercial car park), and PV07 (additional box out and general fill). These variations contributed to increased costs, schedule delays, and changes in the project's revenue profile. The study also examines the effectiveness of project management practices in managing variations and mitigating their impact. The research suggests that proactive risk management, thorough scope definition, and effective communication among project stakeholders can help minimize the negative consequences of variations. The findings emphasize the importance of establishing clear procedures for identifying, assessing, and managing variations throughout the project lifecycle. The outcomes of this research contribute to the body of knowledge in construction project management by demonstrating the value of analyzing tender, contract, claims, and revenue data in variation impact assessment. However, the research acknowledges the limitations imposed by the dataset, particularly the absence of detailed contract and tender documents. This constraint restricts the depth of analysis possible in investigating the root causes and full extent of variations' impact on the project. Future research could build upon this study by incorporating more comprehensive data sources to further explore the dynamics of variations in construction projects. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=contract%20variation%20impact" title="contract variation impact">contract variation impact</a>, <a href="https://publications.waset.org/abstracts/search?q=quantitative%20analysis" title=" quantitative analysis"> quantitative analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=project%20performance" title=" project performance"> project performance</a>, <a href="https://publications.waset.org/abstracts/search?q=claims%20analysis" title=" claims analysis"> claims analysis</a> </p> <a href="https://publications.waset.org/abstracts/187826/quantitative-analysis-of-contract-variations-impact-on-infrastructure-project-performance" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/187826.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">40</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1</span> Developing a Machine Learning-based Cost Prediction Model for Construction Projects using Particle Swarm Optimization</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Soheila%20Sadeghi">Soheila Sadeghi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Accurate cost prediction is essential for effective project management and decision-making in the construction industry. This study aims to develop a cost prediction model for construction projects using Machine Learning techniques and Particle Swarm Optimization (PSO). The research utilizes a comprehensive dataset containing project cost estimates, actual costs, resource details, and project performance metrics from a road reconstruction project. The methodology involves data preprocessing, feature selection, and the development of an Artificial Neural Network (ANN) model optimized using PSO. The study investigates the impact of various input features, including cost estimates, resource allocation, and project progress, on the accuracy of cost predictions. The performance of the optimized ANN model is evaluated using metrics such as Mean Squared Error (MSE), Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), and R-squared. The results demonstrate the effectiveness of the proposed approach in predicting project costs, outperforming traditional benchmark models. The feature selection process identifies the most influential variables contributing to cost variations, providing valuable insights for project managers. However, this study has several limitations. Firstly, the model's performance may be influenced by the quality and quantity of the dataset used. A larger and more diverse dataset covering different types of construction projects would enhance the model's generalizability. Secondly, the study focuses on a specific optimization technique (PSO) and a single Machine Learning algorithm (ANN). Exploring other optimization methods and comparing the performance of various ML algorithms could provide a more comprehensive understanding of the cost prediction problem. Future research should focus on several key areas. Firstly, expanding the dataset to include a wider range of construction projects, such as residential buildings, commercial complexes, and infrastructure projects, would improve the model's applicability. Secondly, investigating the integration of additional data sources, such as economic indicators, weather data, and supplier information, could enhance the predictive power of the model. Thirdly, exploring the potential of ensemble learning techniques, which combine multiple ML algorithms, may further improve cost prediction accuracy. Additionally, developing user-friendly interfaces and tools to facilitate the adoption of the proposed cost prediction model in real-world construction projects would be a valuable contribution to the industry. The findings of this study have significant implications for construction project management, enabling proactive cost estimation, resource allocation, budget planning, and risk assessment, ultimately leading to improved project performance and cost control. This research contributes to the advancement of cost prediction techniques in the construction industry and highlights the potential of Machine Learning and PSO in addressing this critical challenge. However, further research is needed to address the limitations and explore the identified future research directions to fully realize the potential of ML-based cost prediction models in the construction domain. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cost%20prediction" title="cost prediction">cost prediction</a>, <a href="https://publications.waset.org/abstracts/search?q=construction%20projects" title=" construction projects"> construction projects</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=artificial%20neural%20networks" title=" artificial neural networks"> artificial neural networks</a>, <a href="https://publications.waset.org/abstracts/search?q=particle%20swarm%20optimization" title=" particle swarm optimization"> particle swarm optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=project%20management" title=" project management"> project management</a>, <a href="https://publications.waset.org/abstracts/search?q=feature%20selection" title=" feature selection"> feature selection</a>, <a href="https://publications.waset.org/abstracts/search?q=road%20reconstruction" title=" road reconstruction"> road reconstruction</a> </p> <a href="https://publications.waset.org/abstracts/186641/developing-a-machine-learning-based-cost-prediction-model-for-construction-projects-using-particle-swarm-optimization" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/186641.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">59</span> </span> </div> </div> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div 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