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medicine</title> <meta name="description" content="Search results for: personalized medicine"> <meta name="keywords" content="personalized medicine"> <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 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action="https://publications.waset.org/abstracts/search"> <div 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="personalized medicine"> <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> 1789</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: personalized medicine</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1789</span> Optimal Decisions for Personalized Products with Demand Information Updating and Limited Capacity </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Meimei%20Zheng">Meimei Zheng</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Product personalization could not only bring new profits to companies but also provide the direction of long-term development for companies. However, the characteristics of personalized product cause some new problems. This paper investigates how companies make decisions on the supply of personalized products when facing different customer attitudes to personalized product and service, constraints due to limited capacity and updates of personalized demand information. This study will provide optimal decisions for companies to develop personalized markets, resulting in promoting business transformation and improving business competitiveness. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=demand%20forecast%20updating" title="demand forecast updating">demand forecast updating</a>, <a href="https://publications.waset.org/abstracts/search?q=limited%20capacity" title=" limited capacity"> limited capacity</a>, <a href="https://publications.waset.org/abstracts/search?q=personalized%20products" title=" personalized products"> personalized products</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</a> </p> <a href="https://publications.waset.org/abstracts/66358/optimal-decisions-for-personalized-products-with-demand-information-updating-and-limited-capacity" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/66358.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">262</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">1788</span> User Modeling from the Perspective of Improvement in Search Results: A Survey of the State of the Art</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Samira%20Karimi-Mansoub">Samira Karimi-Mansoub</a>, <a href="https://publications.waset.org/abstracts/search?q=Rahem%20Abri"> Rahem Abri</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Currently, users expect high quality and personalized information from search results. To satisfy user’s needs, personalized approaches to web search have been proposed. These approaches can provide the most appropriate answer for user’s needs by using user context and incorporating information about query provided by combining search technologies. To carry out personalized web search, there is a need to make different techniques on whole of user search process. There are the number of possible deployment of personalized approaches such as personalized web search, personalized recommendation, personalized summarization and filtering systems and etc. but the common feature of all approaches in various domains is that user modeling is utilized to provide personalized information from the Web. So the most important work in personalized approaches is user model mining. User modeling applications and technologies can be used in various domains depending on how the user collected information may be extracted. In addition to, the used techniques to create user model is also different in each of these applications. Since in the previous studies, there was not a complete survey in this field, our purpose is to present a survey on applications and techniques of user modeling from the viewpoint of improvement in search results by considering the existing literature and researches. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=filtering%20systems" title="filtering systems">filtering systems</a>, <a href="https://publications.waset.org/abstracts/search?q=personalized%20web%20search" title=" personalized web search"> personalized web search</a>, <a href="https://publications.waset.org/abstracts/search?q=user%20modeling" title=" user modeling"> user modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=user%20search%20behavior" title=" user search behavior"> user search behavior</a> </p> <a href="https://publications.waset.org/abstracts/73551/user-modeling-from-the-perspective-of-improvement-in-search-results-a-survey-of-the-state-of-the-art" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/73551.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">279</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">1787</span> Patent Protection for AI Innovations in Pharmaceutical Products</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nerella%20Srinivas">Nerella Srinivas</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study explores the significance of patent protection for artificial intelligence (AI) innovations in the pharmaceutical sector, emphasizing applications in drug discovery, personalized medicine, and clinical trial optimization. The challenges of patenting AI-driven inventions are outlined, focusing on the classification of algorithms as abstract ideas, meeting the non-obviousness standard, and issues around defining inventorship. The methodology includes examining case studies and existing patents, with an emphasis on how companies like Benevolent AI and Insilico Medicine have successfully secured patent rights. Findings demonstrate that a strategic approach to patent protection is essential, with particular attention to showcasing AI’s technical contributions to pharmaceutical advancements. Conclusively, the study underscores the critical role of understanding patent law and innovation strategies in leveraging intellectual property rights in the rapidly advancing field of AI-driven pharmaceuticals. <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=pharmaceutical%20industry" title=" pharmaceutical industry"> pharmaceutical industry</a>, <a href="https://publications.waset.org/abstracts/search?q=patent%20protection" title=" patent protection"> patent protection</a>, <a href="https://publications.waset.org/abstracts/search?q=drug%20discovery" title=" drug discovery"> drug discovery</a>, <a href="https://publications.waset.org/abstracts/search?q=personalized%20medicine" title=" personalized medicine"> personalized medicine</a>, <a href="https://publications.waset.org/abstracts/search?q=clinical%20trials" title=" clinical trials"> clinical trials</a>, <a href="https://publications.waset.org/abstracts/search?q=intellectual%20property" title=" intellectual property"> intellectual property</a>, <a href="https://publications.waset.org/abstracts/search?q=non-obviousness" title=" non-obviousness"> non-obviousness</a> </p> <a href="https://publications.waset.org/abstracts/193083/patent-protection-for-ai-innovations-in-pharmaceutical-products" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/193083.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">12</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">1786</span> The Role of Genetic Markers in Prostate Cancer Diagnosis and Treatment</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Farman%20Ali">Farman Ali</a>, <a href="https://publications.waset.org/abstracts/search?q=Asif%20Mahmood"> Asif Mahmood</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The utilization of genetic markers in prostate cancer management represents a significant advance in personalized medicine, offering the potential for more precise diagnosis and tailored treatment strategies. This paper explores the pivotal role of genetic markers in the diagnosis and treatment of prostate cancer, emphasizing their contribution to the identification of individual risk profiles, tumor aggressiveness, and response to therapy. By integrating current research findings, we discuss the application of genetic markers in developing targeted therapies and the implications for patient outcomes. Despite the promising advancements, challenges such as accessibility, cost, and the need for further validation in diverse populations remain. The paper concludes with an outlook on future directions, underscoring the importance of genetic markers in revolutionizing prostate cancer care. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=prostate%20cancer" title="prostate cancer">prostate cancer</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20markers" title=" genetic markers"> genetic markers</a>, <a href="https://publications.waset.org/abstracts/search?q=personalized%20medicine" title=" personalized medicine"> personalized medicine</a>, <a href="https://publications.waset.org/abstracts/search?q=BRCA1%20and%20BRCA2" title=" BRCA1 and BRCA2"> BRCA1 and BRCA2</a> </p> <a href="https://publications.waset.org/abstracts/184866/the-role-of-genetic-markers-in-prostate-cancer-diagnosis-and-treatment" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/184866.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">61</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">1785</span> Acoustic Performance and Application of Three Personalized Sound-Absorbing Materials</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Fangying%20Wang">Fangying Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhang%20Sanming"> Zhang Sanming</a>, <a href="https://publications.waset.org/abstracts/search?q=Ni%20Qian"> Ni Qian</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In recent years, more and more personalized sound absorbing materials have entered the Chinese room acoustical decoration market. The acoustic performance of three kinds of personalized sound-absorbing materials: Flame-retardant Flax Fiber Sound-absorbing Cotton, Eco-Friendly Sand Acoustic Panel and Transparent Micro-perforated Panel (Film) are tested by Reverberation Room Method. The sound absorption characteristic curves show that their performance match for or even exceed the traditional sound absorbing material. Through the application in the actual projects, these personalized sound-absorbing materials also proved their sound absorption ability and unique decorative effect. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=acoustic%20performance" title="acoustic performance">acoustic performance</a>, <a href="https://publications.waset.org/abstracts/search?q=application%20prospect%20personalized%20sound-absorbing%20materials" title=" application prospect personalized sound-absorbing materials"> application prospect personalized sound-absorbing materials</a> </p> <a href="https://publications.waset.org/abstracts/88980/acoustic-performance-and-application-of-three-personalized-sound-absorbing-materials" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/88980.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">1784</span> Pharmacokinetic Model of Warfarin and Its Application in Personalized Medicine</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Vijay%20Kumar%20Kutala">Vijay Kumar Kutala</a>, <a href="https://publications.waset.org/abstracts/search?q=Addepalli%20Pavani"> Addepalli Pavani</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Amresh%20Rao"> M. Amresh Rao</a>, <a href="https://publications.waset.org/abstracts/search?q=Naushad%20Sm"> Naushad Sm</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this study, we evaluated the impact of CYP2C9*2 and CYP2C9*3 variants on binding and hydroxylation of warfarin. In silico data revealed that warfarin forms two hydrogen bonds with protein backbone i.e. I205 and S209, one hydrogen bond with protein side chain i.e. T301 and stacking interaction with F100 in CYP2C9*1. In CYP2C9*2 and CYP2C9*3 variants, two hydrogen bonds with protein backbone are disrupted. In double variant, all the hydrogen bonds are disrupted. The distances between C7 of S-warfarin and Fe-O in CYP2C9*1, CYP2C9*2, CYP2C9*3 and CYP2C9*2/*3 were 5.81A°, 7.02A°, 7.43° and 10.07°, respectively. The glide scores (Kcal/mol) were -7.698, -7.380, -6.821 and -6.986, respectively. Increase in warfarin/7-hydroxy warfarin ratio was observed with increase in variant alleles. To conclude, CYP2C9*2 and CYP2C9*3 variants result in disruption of hydrogen bonding interactions with warfarin and longer distance between C7 and Fe-O thus impairing warfarin 7-hydroxylation due to lower binding affinity of warfarin. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=warfarin" title="warfarin">warfarin</a>, <a href="https://publications.waset.org/abstracts/search?q=CYP2C9%20polymorphism" title=" CYP2C9 polymorphism"> CYP2C9 polymorphism</a>, <a href="https://publications.waset.org/abstracts/search?q=personalized%20medicine" title=" personalized medicine"> personalized medicine</a>, <a href="https://publications.waset.org/abstracts/search?q=in%20Silico" title=" in Silico"> in Silico</a> </p> <a href="https://publications.waset.org/abstracts/24956/pharmacokinetic-model-of-warfarin-and-its-application-in-personalized-medicine" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/24956.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">322</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">1783</span> An Integrative Computational Pipeline for Detection of Tumor Epitopes in Cancer Patients</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tanushree%20Jaitly">Tanushree Jaitly</a>, <a href="https://publications.waset.org/abstracts/search?q=Shailendra%20Gupta"> Shailendra Gupta</a>, <a href="https://publications.waset.org/abstracts/search?q=Leila%20Taher"> Leila Taher</a>, <a href="https://publications.waset.org/abstracts/search?q=Gerold%20Schuler"> Gerold Schuler</a>, <a href="https://publications.waset.org/abstracts/search?q=Julio%20Vera"> Julio Vera</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Genomics-based personalized medicine is a promising approach to fight aggressive tumors based on patient's specific tumor mutation and expression profiles. A remarkable case is, dendritic cell-based immunotherapy, in which tumor epitopes targeting patient's specific mutations are used to design a vaccine that helps in stimulating cytotoxic T cell mediated anticancer immunity. Here we present a computational pipeline for epitope-based personalized cancer vaccines using patient-specific haplotype and cancer mutation profiles. In the workflow proposed, we analyze Whole Exome Sequencing and RNA Sequencing patient data to detect patient-specific mutations and their expression level. Epitopes including the tumor mutations are computationally predicted using patient's haplotype and filtered based on their expression level, binding affinity, and immunogenicity. We calculate binding energy for each filtered major histocompatibility complex (MHC)-peptide complex using docking studies, and use this feature to select good epitope candidates further. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cancer%20immunotherapy" title="cancer immunotherapy">cancer immunotherapy</a>, <a href="https://publications.waset.org/abstracts/search?q=epitope%20prediction" title=" epitope prediction"> epitope prediction</a>, <a href="https://publications.waset.org/abstracts/search?q=NGS%20data" title=" NGS data"> NGS data</a>, <a href="https://publications.waset.org/abstracts/search?q=personalized%20medicine" title=" personalized medicine"> personalized medicine</a> </p> <a href="https://publications.waset.org/abstracts/51877/an-integrative-computational-pipeline-for-detection-of-tumor-epitopes-in-cancer-patients" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/51877.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">252</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">1782</span> VR/AR Applications in Personalized Learning</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Andy%20Wang">Andy Wang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Personalized learning refers to an educational approach that tailors instruction to meet the unique needs, interests, and abilities of each learner. This method of learning aims at providing students with a customized learning experience that is more engaging, interactive, and relevant to their personal lives. With generative AI technology, the author has developed a Personal Tutoring Bot (PTB) that supports personalized learning. The author is currently testing PTB in his EE 499 – Microelectronics Metrology course. Virtual Reality (VR) and Augmented Reality (AR) provide interactive and immersive learning environments that can engage student in online learning. This paper presents the rationale of integrating VR/AR tools in PTB and discusses challenges and solutions of incorporating VA/AR into the Personal Tutoring Bot (PTB). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=personalized%20learning" title="personalized learning">personalized learning</a>, <a href="https://publications.waset.org/abstracts/search?q=online%20education" title=" online education"> online education</a>, <a href="https://publications.waset.org/abstracts/search?q=hands-on%20practice" title=" hands-on practice"> hands-on practice</a>, <a href="https://publications.waset.org/abstracts/search?q=VR%2FAR%20tools" title=" VR/AR tools"> VR/AR tools</a> </p> <a href="https://publications.waset.org/abstracts/175539/vrar-applications-in-personalized-learning" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/175539.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">68</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">1781</span> 3D Printing of Dual Tablets: Modified Multiple Release Profiles for Personalized Medicine</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Veronika%20Les%C3%A1kov%C3%A1">Veronika Lesáková</a>, <a href="https://publications.waset.org/abstracts/search?q=Silvia%20Slez%C3%A1kov%C3%A1"> Silvia Slezáková</a>, <a href="https://publications.waset.org/abstracts/search?q=Franti%C5%A1ek%20%C5%A0t%C4%9Bp%C3%A1nek"> František Štěpánek</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Additive manufacturing technologies producing drug dosage forms aimed at personalized medicine applications are promising strategies with several advantages over the conventional production methods. One of the emerging technologies is 3D printing which reduces manufacturing steps and thus allows a significant drop in expenses. A decrease in material consumption is also a highly impactful benefit as the tested drugs are frequently expensive substances. In addition, 3D printed dosage forms enable increased patient compliance and prevent misdosing as the dosage forms are carefully designed according to the patient’s needs. The incorporation of multiple drugs into a single dosage form further increases the degree of personalization. Our research focuses on the development of 3D printed tablets incorporating multiple drugs (candesartan, losartan) and thermoplastic polymers (e.g., KlucelTM HPC EF). The filaments, an essential feed material for 3D printing,wereproduced via hot-melt extrusion. Subsequently, the extruded filaments of various formulations were 3D printed into tablets using an FDM 3D printer. Then, we have assessed the influence of the internal structure of 3D printed tablets and formulation on dissolution behaviour by obtaining the dissolution profiles of drugs present in the 3D printed tablets. In conclusion, we have developed tablets containing multiple drugs providing modified release profiles. The 3D printing experiments demonstrate the high tunability of 3D printing as each tablet compartment is constructed with a different formulation. Overall, the results suggest that the 3D printing technology is a promising manufacturing approach to dual tablet preparation for personalized medicine. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=3D%20printing" title="3D printing">3D printing</a>, <a href="https://publications.waset.org/abstracts/search?q=drug%20delivery" title=" drug delivery"> drug delivery</a>, <a href="https://publications.waset.org/abstracts/search?q=hot-melt%20extrusion" title=" hot-melt extrusion"> hot-melt extrusion</a>, <a href="https://publications.waset.org/abstracts/search?q=dissolution%20kinetics" title=" dissolution kinetics"> dissolution kinetics</a> </p> <a href="https://publications.waset.org/abstracts/144631/3d-printing-of-dual-tablets-modified-multiple-release-profiles-for-personalized-medicine" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/144631.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">168</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">1780</span> AI-Powered Personalized Teacher Training for Enhancing Language Teaching Competence</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ororho%20Maureen%20Ekpelezie">Ororho Maureen Ekpelezie</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study investigates language educators' perceptions and experiences regarding AI-driven personalized teacher training modules in Awka South, Anambra State, Nigeria. Utilizing a stratified random sampling technique, 25 schools across various educational levels were selected to ensure a representative sample. A total of 1000 questionnaires were distributed among language teachers in these schools, focusing on assessing their perceptions and experiences related to AI-driven personalized teacher training. With an impressive response rate of 99.1%, the study garnered valuable insights into language teachers' attitudes towards AI-driven personalized teacher training and its effectiveness in enhancing language teaching competence. The quantitative analysis revealed predominantly positive perceptions towards AI-driven personalized training modules, indicating their efficacy in addressing individual learning needs. However, challenges were identified in the long-term retention and transfer of AI-enhanced skills, underscoring the necessity for further refinement of personalized training approaches. Recommendations stemming from these findings emphasize the need for continued refinement of training methodologies and the development of tailored professional development programs to alleviate educators' concerns. Overall, this research enriches discussions on the integration of AI technology in teacher training and professional development, with the aim of bolstering language teaching competence and effectiveness in educational settings. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=language%20teacher%20training" title="language teacher training">language teacher training</a>, <a href="https://publications.waset.org/abstracts/search?q=AI-driven%20personalized%20learning" title=" AI-driven personalized learning"> AI-driven personalized learning</a>, <a href="https://publications.waset.org/abstracts/search?q=professional%20development" title=" professional development"> professional development</a>, <a href="https://publications.waset.org/abstracts/search?q=language%20teaching%20competence" title=" language teaching competence"> language teaching competence</a>, <a href="https://publications.waset.org/abstracts/search?q=personalized%20teacher%20training" title=" personalized teacher training"> personalized teacher training</a> </p> <a href="https://publications.waset.org/abstracts/186990/ai-powered-personalized-teacher-training-for-enhancing-language-teaching-competence" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/186990.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">1779</span> Prevalence of Cyp2d6 and Its Implications for Personalized Medicine in Saudi Arabs</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hamsa%20T.%20Tayeb">Hamsa T. Tayeb</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20A.%20Arafah"> Mohammad A. Arafah</a>, <a href="https://publications.waset.org/abstracts/search?q=Dana%20M.%20Bakheet"> Dana M. Bakheet</a>, <a href="https://publications.waset.org/abstracts/search?q=Duaa%20M.%20Khalaf"> Duaa M. Khalaf</a>, <a href="https://publications.waset.org/abstracts/search?q=Agnieszka%20Tarnoska"> Agnieszka Tarnoska</a>, <a href="https://publications.waset.org/abstracts/search?q=Nduna%20Dzimiri"> Nduna Dzimiri</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: CYP2D6 is a member of the cytochrome P450 mixed-function oxidase system. The enzyme is responsible for the metabolism and elimination of approximately 25% of clinically used drugs, especially in breast cancer and psychiatric therapy. Different phenotypes have been described displaying alleles that lead to a complete loss of enzyme activity, reduced function (poor metabolizers – PM), hyperfunctionality (ultrarapid metabolizers–UM) and therefore drug intoxication or loss of drug effect. The prevalence of these variants may vary among different ethnic groups. Furthermore, the xTAG system has been developed to categorized all patients into different groups based on their CYP2D6 substrate metabolization. Aim of the study: To determine the prevalence of the different CYP2D6 variants in our population, and to evaluate their clinical relevance in personalized medicine. Methodology: We used the Luminex xMAP genotyping system to sequence 305 Saudi individuals visiting the Blood Bank of our Institution and determine which polymorphisms of CYP2D6 gene are prevalent in our region. Results: xTAG genotyping showed that 36.72% (112 out of 305 individuals) carried the CYP2D6_*2. Out of the 112 individuals with the *2 SNP, 6.23% had multiple copies of *2 SNP (19 individuals out of 305 individuals), resulting in an UM phenotype. About 33.44% carried the CYP2D6_*41, which leads to decreased activity of the CYP2D6 enzyme. 19.67% had the wild-type alleles and thus had normal enzyme function. Furthermore, 15.74% carried the CYP2D6_*4, which is the most common nonfunctional form of the CYP2D6 enzyme worldwide. 6.56% carried the CYP2D6_*17, resulting in decreased enzyme activity. Approximately 5.73% carried the CYP2D6_*10, consequently decreasing the enzyme activity, resulting in a PM phenotype. 2.30% carried the CYP2D6_*29, leading to decreased metabolic activity of the enzyme, and 2.30% carried the CYP2D6_*35, resulting in an UM phenotype, 1.64% had a whole-gene deletion CYP2D6_*5, thus resulting in the loss of CYP2D6 enzyme production, 0.66% carried the CYP2D6_*6 variant. One individual carried the CYP2D6_*3(B), producing an inactive form of the enzyme, which leads to decrease of enzyme activity, resulting in a PM phenotype. Finally, one individual carried the CYP2D6_*9, which decreases the enzyme activity. Conclusions: Our study demonstrates that different CYP2D6 variants are highly prevalent in ethnic Saudi Arabs. This finding sets a basis for informed genotyping for these variants in personalized medicine. The study also suggests that xTAG is an appropriate procedure for genotyping the CYP2D6 variants in personalized medicine. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=CYP2D6" title="CYP2D6">CYP2D6</a>, <a href="https://publications.waset.org/abstracts/search?q=hormonal%20breast%20cancer" title=" hormonal breast cancer"> hormonal breast cancer</a>, <a href="https://publications.waset.org/abstracts/search?q=pharmacogenetics" title=" pharmacogenetics"> pharmacogenetics</a>, <a href="https://publications.waset.org/abstracts/search?q=polymorphism" title=" polymorphism"> polymorphism</a>, <a href="https://publications.waset.org/abstracts/search?q=psychiatric%20treatment" title=" psychiatric treatment"> psychiatric treatment</a>, <a href="https://publications.waset.org/abstracts/search?q=Saudi%20population" title=" Saudi population"> Saudi population</a> </p> <a href="https://publications.waset.org/abstracts/22860/prevalence-of-cyp2d6-and-its-implications-for-personalized-medicine-in-saudi-arabs" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/22860.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">572</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">1778</span> D3Advert: Data-Driven Decision Making for Ad Personalization through Personality Analysis Using BiLSTM Network</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sandesh%20Achar">Sandesh Achar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Personalized advertising holds greater potential for higher conversion rates compared to generic advertisements. However, its widespread application in the retail industry faces challenges due to complex implementation processes. These complexities impede the swift adoption of personalized advertisement on a large scale. Personalized advertisement, being a data-driven approach, necessitates consumer-related data, adding to its complexity. This paper introduces an innovative data-driven decision-making framework, D3Advert, which personalizes advertisements by analyzing personalities using a BiLSTM network. The framework utilizes the Myers–Briggs Type Indicator (MBTI) dataset for development. The employed BiLSTM network, specifically designed and optimized for D3Advert, classifies user personalities into one of the sixteen MBTI categories based on their social media posts. The classification accuracy is 86.42%, with precision, recall, and F1-Score values of 85.11%, 84.14%, and 83.89%, respectively. The D3Advert framework personalizes advertisements based on these personality classifications. Experimental implementation and performance analysis of D3Advert demonstrate a 40% improvement in impressions. D3Advert’s innovative and straightforward approach has the potential to transform personalized advertising and foster widespread personalized advertisement adoption in marketing. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=personalized%20advertisement" title="personalized advertisement">personalized advertisement</a>, <a href="https://publications.waset.org/abstracts/search?q=deep%20Learning" title=" deep Learning"> deep Learning</a>, <a href="https://publications.waset.org/abstracts/search?q=MBTI%20dataset" title=" MBTI dataset"> MBTI dataset</a>, <a href="https://publications.waset.org/abstracts/search?q=BiLSTM%20network" title=" BiLSTM network"> BiLSTM network</a>, <a href="https://publications.waset.org/abstracts/search?q=NLP." title=" NLP."> NLP.</a> </p> <a href="https://publications.waset.org/abstracts/184326/d3advert-data-driven-decision-making-for-ad-personalization-through-personality-analysis-using-bilstm-network" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/184326.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">44</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">1777</span> Optimizing Glycemic Control with AI-Guided Dietary Supplements: A Randomized Trial in Type 2 Diabetes</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Evgeny%20Pokushalov">Evgeny Pokushalov</a>, <a href="https://publications.waset.org/abstracts/search?q=Claire%20Garcia"> Claire Garcia</a>, <a href="https://publications.waset.org/abstracts/search?q=Andrey%20Ponomarenko"> Andrey Ponomarenko</a>, <a href="https://publications.waset.org/abstracts/search?q=John%20Smith"> John Smith</a>, <a href="https://publications.waset.org/abstracts/search?q=Michael%20Johnson"> Michael Johnson</a>, <a href="https://publications.waset.org/abstracts/search?q=Inessa%20Pak"> Inessa Pak</a>, <a href="https://publications.waset.org/abstracts/search?q=Evgenya%20Shrainer"> Evgenya Shrainer</a>, <a href="https://publications.waset.org/abstracts/search?q=Dmitry%20Kudlay"> Dmitry Kudlay</a>, <a href="https://publications.waset.org/abstracts/search?q=Leila%20Kasimova"> Leila Kasimova</a>, <a href="https://publications.waset.org/abstracts/search?q=Richard%20Miller"> Richard Miller</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study evaluated the efficacy of an AI-guided dietary supplement regimen compared to a standard physician-guided regimen in managing Type 2 diabetes (T2D). A total of 160 patients were randomly assigned to either the AI-guided group (n=80) or the physician-guided group (n=80) and followed over 90 days. The AI-guided group received 5.3 ± 1.2 supplements per patient, while the physician-guided group received 2.7 ± 0.6 supplements per patient. The AI system personalized supplement types and dosages based on individual genetic and metabolic profiles. The AI-guided group showed a significant reduction in HbA1c levels from 7.5 ± 0.8% to 7.1 ± 0.7%, compared to a reduction from 7.6 ± 0.9% to 7.4 ± 0.8% in the physician-guided group (mean difference: -0.3%, 95% CI: -0.5% to -0.1%; p < 0.01). Secondary outcomes, including fasting plasma glucose, HOMA-IR, and insulin levels, also improved more in the AI-guided group. Subgroup analyses revealed that the AI-guided regimen was particularly effective in patients with specific genetic polymorphisms and elevated metabolic markers. Safety profiles were comparable between both groups, with no serious adverse events reported. In conclusion, the AI-guided dietary supplement regimen significantly improved glycemic control and metabolic health in T2D patients compared to the standard physician-guided approach, demonstrating the potential of personalized AI-driven interventions in diabetes management. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Type%202%20diabetes" title="Type 2 diabetes">Type 2 diabetes</a>, <a href="https://publications.waset.org/abstracts/search?q=AI-guided%20supplementation" title=" AI-guided supplementation"> AI-guided supplementation</a>, <a href="https://publications.waset.org/abstracts/search?q=personalized%20medicine" title=" personalized medicine"> personalized medicine</a>, <a href="https://publications.waset.org/abstracts/search?q=glycemic%20control" title=" glycemic control"> glycemic control</a>, <a href="https://publications.waset.org/abstracts/search?q=metabolic%20health" title=" metabolic health"> metabolic health</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20polymorphisms" title=" genetic polymorphisms"> genetic polymorphisms</a>, <a href="https://publications.waset.org/abstracts/search?q=dietary%20supplements" title=" dietary supplements"> dietary supplements</a>, <a href="https://publications.waset.org/abstracts/search?q=HbA1c" title=" HbA1c"> HbA1c</a>, <a href="https://publications.waset.org/abstracts/search?q=fasting%20plasma%20glucose" title=" fasting plasma glucose"> fasting plasma glucose</a>, <a href="https://publications.waset.org/abstracts/search?q=HOMA-IR" title=" HOMA-IR"> HOMA-IR</a>, <a href="https://publications.waset.org/abstracts/search?q=personalized%20nutrition" title=" personalized nutrition"> personalized nutrition</a> </p> <a href="https://publications.waset.org/abstracts/194485/optimizing-glycemic-control-with-ai-guided-dietary-supplements-a-randomized-trial-in-type-2-diabetes" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/194485.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">8</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">1776</span> Complementary and Traditional Medicine in Turkey</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=H%C3%BCseyin%20Bi%C3%A7er">Hüseyin Biçer</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The purpose of this study is an explanation of using and expectation traditional and complementary medicine in Turkey in terms of regionally, cultural and social. Due to geopolitics position, at the intersection of the Middle East, Africa and Europe, Turkey has historically hosted many civilizations and cultures, and hosts many religions at the same time and therefore is very open to intercultural interaction. For this reason, the traditional medicine of Turkey contains traces of many civilizations rather than a traditional medicine of its own. In Turkey, complementary and traditional medicine are used actively. The aim of the study is to measure whether the patients have ever taken traditional medicine as a caretaker or for the supportive treatment of their diseases, and as a result, their expectations. This cross-sectional, paper-based survey study was conducted in 27 state hospitals and 29 family medicine clinics in seven geographical regions of Turkey. Patients who had an appointment in the waiting rooms that day were included. 77.4% of the patients participating in the study stated that they used traditional medicine at least 5 times in their life, 27.6% stated that traditional medicine was sufficient in some diseases, and 36.8% stated that traditional treatment was a part of normal treatment. Both faith and cultural approaches in Turkey always keep traditional medicine close to drugs. Another danger, apart from traditional medicine drugs that can interact with drugs, is that patients find it sufficient to use traditional and complementary medicine alone. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=complementary%20medicine" title="complementary medicine">complementary medicine</a>, <a href="https://publications.waset.org/abstracts/search?q=traditional%20medicine" title=" traditional medicine"> traditional medicine</a>, <a href="https://publications.waset.org/abstracts/search?q=medicine%20in%20Turkey" title=" medicine in Turkey"> medicine in Turkey</a>, <a href="https://publications.waset.org/abstracts/search?q=alternative%20medicine" title=" alternative medicine"> alternative medicine</a> </p> <a href="https://publications.waset.org/abstracts/143862/complementary-and-traditional-medicine-in-turkey" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/143862.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">257</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">1775</span> A Framework for Internet Education: Personalised Approach</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zoe%20Wong">Zoe Wong</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The purpose of this paper is to develop a framework for internet education. This framework uses the personalized learning approach for everyone who can freely develop their qualifications & careers. The key components of the framework includes students, teachers, assessments and infrastructure. It allows remove the challenges and limitations of the current educational system and allows learners' to cope with progressing learning materials. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=internet%20education" title="internet education">internet education</a>, <a href="https://publications.waset.org/abstracts/search?q=personalized%20approach" title=" personalized approach"> personalized approach</a>, <a href="https://publications.waset.org/abstracts/search?q=information%20technology" title=" information technology"> information technology</a>, <a href="https://publications.waset.org/abstracts/search?q=framework" title=" framework"> framework</a> </p> <a href="https://publications.waset.org/abstracts/47256/a-framework-for-internet-education-personalised-approach" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/47256.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">358</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">1774</span> Morphology of Cartographic Words: A Perspective from Chinese Characters</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Xinyu%20Gong">Xinyu Gong</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhilin%20Li"> Zhilin Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Xintao%20Liu"> Xintao Liu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Maps are a means of communication. Cartographic language involves established theories of natural language for understanding maps. “Cartographic words’, or “map symbols”, are crucial elements of cartographic language. Personalized mapping is increasingly popular, with growing demands for customized map-making by the general public. Automated symbol-making and customization play a key role in personalized mapping. However, formal representations for the automated construction of map symbols are still lacking. In natural language, the process of word and sentence construction can be formalized. Through the analogy between natural language and graphical language, formal representations of natural language construction can be used as a reference for constructing cartographic language. We selected Chinese character structures (i.e., S <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=personalized%20mapping" title="personalized mapping">personalized mapping</a>, <a href="https://publications.waset.org/abstracts/search?q=Chinese%20character" title=" Chinese character"> Chinese character</a>, <a href="https://publications.waset.org/abstracts/search?q=cartographic%20language" title=" cartographic language"> cartographic language</a>, <a href="https://publications.waset.org/abstracts/search?q=map%20symbols" title=" map symbols"> map symbols</a> </p> <a href="https://publications.waset.org/abstracts/131340/morphology-of-cartographic-words-a-perspective-from-chinese-characters" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/131340.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">176</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">1773</span> Exploring Chinese Nurses’ Views on Alternative Medicine</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hui%20Chen">Hui Chen</a>, <a href="https://publications.waset.org/abstracts/search?q=Huping%20Gong"> Huping Gong</a>, <a href="https://publications.waset.org/abstracts/search?q=Yalin%20Mao"> Yalin Mao</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper mainly focuses on the Chinese registered nurses as the research object, and studies the role of Chinese registered nurses in the cognition and application experience of alternative medicine. In this study, nurses were interviewed, focusing on their views and exchanging experiences on the use of alternative medicine in their work. The researchers will use Colaizzi to analyze the collected data. Four main themes emerged from the interviews, namely: 1) the current state of alternative medicine in China, 2) Challenges faced by nurses, 3) How nurses overcome various difficulties, 4) Development of alternative medicine in China. Through the exchange of knowledge and practical experience of alternative medicine, registered nurses in China are not only participants in the application of alternative medicine but also play an active role in promoting its development. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=traditional%20Chinese%20medicine" title="traditional Chinese medicine">traditional Chinese medicine</a>, <a href="https://publications.waset.org/abstracts/search?q=alternative%20medicine" title=" alternative medicine"> alternative medicine</a>, <a href="https://publications.waset.org/abstracts/search?q=nurse" title=" nurse"> nurse</a>, <a href="https://publications.waset.org/abstracts/search?q=qualitative%20research" title=" qualitative research"> qualitative research</a> </p> <a href="https://publications.waset.org/abstracts/192070/exploring-chinese-nurses-views-on-alternative-medicine" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/192070.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">1772</span> Personalized Learning: An Analysis Using Item Response Theory</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20Yacob">A. Yacob</a>, <a href="https://publications.waset.org/abstracts/search?q=N.%20Hj.%20Ali"> N. Hj. Ali</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20H.%20Yusoff"> M. H. Yusoff</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Y.%20MohdSaman"> M. Y. MohdSaman</a>, <a href="https://publications.waset.org/abstracts/search?q=W.%20M.%20A.%20F.%20W.%20Hamzah"> W. M. A. F. W. Hamzah</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Personalized learning becomes increasingly popular which not is restricted by time, place or any other barriers. This study proposes an analysis of Personalized Learning using Item Response Theory which considers course material difficulty and learner ability. The study investigates twenty undergraduate students at TATI University College, who are taking programming subject. By using the IRT, it was found that, finding the most appropriate problem levels to each student include high and low level test items together is not a problem. Thus, the student abilities can be asses more accurately and fairly. Learners who experience more anxiety will affect a heavier cognitive load and receive lower test scores. Instructors are encouraged to provide a supportive learning environment to enhance learning effectiveness because Cognitive Load Theory concerns the limited capacity of the brain to absorb new information. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=assessment" title="assessment">assessment</a>, <a href="https://publications.waset.org/abstracts/search?q=item%20response%20theory" title=" item response theory"> item response theory</a>, <a href="https://publications.waset.org/abstracts/search?q=cognitive%20load%20theory" title=" cognitive load theory"> cognitive load theory</a>, <a href="https://publications.waset.org/abstracts/search?q=learning" title=" learning"> learning</a>, <a href="https://publications.waset.org/abstracts/search?q=motivation" title=" motivation"> motivation</a>, <a href="https://publications.waset.org/abstracts/search?q=performance" title=" performance"> performance</a> </p> <a href="https://publications.waset.org/abstracts/7302/personalized-learning-an-analysis-using-item-response-theory" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/7302.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">317</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">1771</span> An Analysis of a Canadian Personalized Learning Curriculum</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ruthanne%20Tobin">Ruthanne Tobin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The shift to a personalized learning (PL) curriculum in Canada represents an innovative approach to teaching and learning that is also evident in various initiatives across the 32-nation OECD. The premise behind PL is that empowering individual learners to have more input into how they access and construct knowledge, and express their understanding of it, will result in more meaningful school experiences and academic success. In this paper presentation, the author reports on a document analysis of the new curriculum in the province of British Columbia. Three theoretical frameworks are used to analyze the new curriculum. Framework 1 focuses on five dominant aspects (FDA) of PL at the classroom level. Framework 2 focuses on conceptualizing and enacting personalized learning (CEPL) within three spheres of influence. Framework 3 focuses on the integration of three types of knowledge (content, technological, and pedagogical). Analysis is ongoing, but preliminary findings suggest that the new curriculum addresses framework 1 quite well, which identifies five areas of personalized learning: 1) assessment for learning; 2) effective teaching and learning; 3) curriculum entitlement (choice); 4) school organization; and 5) “beyond the classroom walls” (learning in the community). Framework 2 appears to be less well developed in the new curriculum. This framework speaks to the dynamics of PL within three spheres of interaction: 1) nested agency, comprised of overarching constraints [and enablers] from policy makers, school administrators and community; 2) relational agency, which refers to a capacity for professionals to develop a network of expertise to serve shared goals; and 3) students’ personalized learning experience, which integrates differentiation with self-regulation strategies. Framework 3 appears to be well executed in the new PL curriculum, as it employs the theoretical model of technological, pedagogical content knowledge (TPACK) in which there are three interdependent bodies of knowledge. Notable within this framework is the emphasis on the pairing of technologies with excellent pedagogies to significantly assist students and teachers. This work will be of high relevance to educators interested in innovative school reform. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=curriculum%20reform" title="curriculum reform">curriculum reform</a>, <a href="https://publications.waset.org/abstracts/search?q=K-12%20school%20change" title=" K-12 school change"> K-12 school change</a>, <a href="https://publications.waset.org/abstracts/search?q=innovations%20in%20education" title=" innovations in education"> innovations in education</a>, <a href="https://publications.waset.org/abstracts/search?q=personalized%20learning" title=" personalized learning "> personalized learning </a> </p> <a href="https://publications.waset.org/abstracts/59474/an-analysis-of-a-canadian-personalized-learning-curriculum" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/59474.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">282</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">1770</span> The Development and Provision of a Knowledge Management Ecosystem, Optimized for Genomics</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Matthew%20I.%20Bellgard">Matthew I. Bellgard</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The field of bioinformatics has made, and continues to make, substantial progress and contributions to life science research and development. However, this paper contends that a systems approach integrates bioinformatics activities for any project in a defined manner. The application of critical control points in this bioinformatics systems approach may be useful to identify and evaluate points in a pathway where specified activity risk can be reduced, monitored and quality enhanced. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bioinformatics" title="bioinformatics">bioinformatics</a>, <a href="https://publications.waset.org/abstracts/search?q=food%20security" title=" food security"> food security</a>, <a href="https://publications.waset.org/abstracts/search?q=personalized%20medicine" title=" personalized medicine"> personalized medicine</a>, <a href="https://publications.waset.org/abstracts/search?q=systems%20approach" title=" systems approach"> systems approach</a> </p> <a href="https://publications.waset.org/abstracts/25230/the-development-and-provision-of-a-knowledge-management-ecosystem-optimized-for-genomics" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/25230.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">422</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">1769</span> Low-Density Lipoproteins Mediated Delivery of Paclitaxel and MRI Imaging Probes for Personalized Medicine Applications</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sahar%20Rakhshan">Sahar Rakhshan</a>, <a href="https://publications.waset.org/abstracts/search?q=Simonetta%20Geninatti%20Crich"> Simonetta Geninatti Crich</a>, <a href="https://publications.waset.org/abstracts/search?q=Diego%20Alberti"> Diego Alberti</a>, <a href="https://publications.waset.org/abstracts/search?q=Rachele%20Stefania"> Rachele Stefania</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The combination of imaging and therapeutic agents in the same smart nanoparticle is a promising option to perform a minimally invasive imaging guided therapy. In this study, Low density lipoproteins (LDL), one of the most attractive biodegradable and biocompatible nanoparticles, were used for the simultaneous delivery of Paclitaxel (PTX), a hydrophobic antitumour drug and an amphiphilic contrast agent, Gd-AAZTA-C17, in B16-F10 melanoma cell line. These cells overexpress LDL receptors, as assessed by Flow cytometry analysis. PTX and Gd-AAZTA-C17 loaded LDLs (LDL-PTX-Gd) have been prepared, characterized and their stability was assessed under 72 h incubation at 37 ◦C and compared to LDL loaded with Gd-AAZTA-C17 (LDL-Gd) and LDL-PTX. The cytotoxic effect of LDL-PTX-Gd was evaluated by MTT assay. The anti-tumour drug loaded into LDLs showed a significantly higher toxicity on B16-F10 cells with respect to the commercially available formulation Paclitaxel Kabi (PTX Kabi) used in clinical applications. It was possible to demonstrate a high uptake of LDL-Gd in B16-F10 cells. As a consequence of the high cell uptake, melanoma cells showed significantly high cytotoxic effect when incubated in the presence of PTX (LDL-PTX-Gd). Furthermore, B16-F10 have been used to perform Magnetic Resonance Imaging. By the analysis of the image signal intensity, it was possible to extrapolate the amount of internalized PTX indirectly by the decrease of relaxation times caused by Gd, proportional to its concentration. Finally, the treatment with PTX loaded LDL on B16-F10 tumour bearing mice resulted in a marked reduction of tumour growth compared to the administration of PTX Kabi alone. In conclusion, LDLs are selectively taken-up by tumour cells and can be successfully exploited for the selective delivery of Paclitaxel and imaging agents. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=low%20density%20lipoprotein" title="low density lipoprotein">low density lipoprotein</a>, <a href="https://publications.waset.org/abstracts/search?q=melanoma%20cell%20lines" title=" melanoma cell lines"> melanoma cell lines</a>, <a href="https://publications.waset.org/abstracts/search?q=MRI" title=" MRI"> MRI</a>, <a href="https://publications.waset.org/abstracts/search?q=paclitaxel" title=" paclitaxel"> paclitaxel</a>, <a href="https://publications.waset.org/abstracts/search?q=personalized%20medicine%20application" title=" personalized medicine application"> personalized medicine application</a>, <a href="https://publications.waset.org/abstracts/search?q=theragnostic%20System" title=" theragnostic System"> theragnostic System</a> </p> <a href="https://publications.waset.org/abstracts/136035/low-density-lipoproteins-mediated-delivery-of-paclitaxel-and-mri-imaging-probes-for-personalized-medicine-applications" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/136035.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">125</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">1768</span> Personalized Email Marketing Strategy: A Reinforcement Learning Approach</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lei%20Zhang">Lei Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Tingting%20Xu"> Tingting Xu</a>, <a href="https://publications.waset.org/abstracts/search?q=Jun%20He"> Jun He</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhenyu%20Yan"> Zhenyu Yan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Email marketing is one of the most important segments of online marketing. It has been proved to be the most effective way to acquire and retain customers. The email content is vital to customers. Different customers may have different familiarity with a product, so a successful marketing strategy must personalize email content based on individual customers’ product affinity. In this study, we build our personalized email marketing strategy with three types of emails: nurture, promotion, and conversion. Each type of email has a different influence on customers. We investigate this difference by analyzing customers’ open rates, click rates and opt-out rates. Feature importance from response models is also analyzed. The goal of the marketing strategy is to improve the click rate on conversion-type emails. To build the personalized strategy, we formulate the problem as a reinforcement learning problem and adopt a Q-learning algorithm with variations. The simulation results show that our model-based strategy outperforms the current marketer’s strategy. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=email%20marketing" title="email marketing">email marketing</a>, <a href="https://publications.waset.org/abstracts/search?q=email%20content" title=" email content"> email content</a>, <a href="https://publications.waset.org/abstracts/search?q=reinforcement%20learning" title=" reinforcement learning"> reinforcement learning</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=Q-learning" title=" Q-learning"> Q-learning</a> </p> <a href="https://publications.waset.org/abstracts/152253/personalized-email-marketing-strategy-a-reinforcement-learning-approach" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/152253.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">194</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">1767</span> User Intention Generation with Large Language Models Using Chain-of-Thought Prompting Title</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Gangmin%20Li">Gangmin Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Fan%20Yang"> Fan Yang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Personalized recommendation is crucial for any recommendation system. One of the techniques for personalized recommendation is to identify the intention. Traditional user intention identification uses the user’s selection when facing multiple items. This modeling relies primarily on historical behaviour data resulting in challenges such as the cold start, unintended choice, and failure to capture intention when items are new. Motivated by recent advancements in Large Language Models (LLMs) like ChatGPT, we present an approach for user intention identification by embracing LLMs with Chain-of-Thought (CoT) prompting. We use the initial user profile as input to LLMs and design a collection of prompts to align the LLM's response through various recommendation tasks encompassing rating prediction, search and browse history, user clarification, etc. Our tests on real-world datasets demonstrate the improvements in recommendation by explicit user intention identification and, with that intention, merged into a user model. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=personalized%20recommendation" title="personalized recommendation">personalized recommendation</a>, <a href="https://publications.waset.org/abstracts/search?q=generative%20user%20modelling" title=" generative user modelling"> generative user modelling</a>, <a href="https://publications.waset.org/abstracts/search?q=user%20intention%20identification" title=" user intention identification"> user intention identification</a>, <a href="https://publications.waset.org/abstracts/search?q=large%20language%20models" title=" large language models"> large language models</a>, <a href="https://publications.waset.org/abstracts/search?q=chain-of-thought%20prompting" title=" chain-of-thought prompting"> chain-of-thought prompting</a> </p> <a href="https://publications.waset.org/abstracts/185916/user-intention-generation-with-large-language-models-using-chain-of-thought-prompting-title" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/185916.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">53</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">1766</span> A Semantic E-Learning and E-Assessment System of Learners </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Wiem%20Ben%20Khalifa">Wiem Ben Khalifa</a>, <a href="https://publications.waset.org/abstracts/search?q=Dalila%20Souilem"> Dalila Souilem</a>, <a href="https://publications.waset.org/abstracts/search?q=Mahmoud%20Neji"> Mahmoud Neji</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The evolutions of Social Web and Semantic Web lead us to ask ourselves about the way of supporting the personalization of learning by means of intelligent filtering of educational resources published in the digital networks. We recommend personalized courses of learning articulated around a first educational course defined upstream. Resuming the context and the stakes in the personalization, we also suggest anchoring the personalization of learning in a community of interest within a group of learners enrolled in the same training. This reflection is supported by the display of an active and semantic system of learning dedicated to the constitution of personalized to measure courses and in the due time. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Semantic%20Web" title="Semantic Web">Semantic Web</a>, <a href="https://publications.waset.org/abstracts/search?q=semantic%20system" title=" semantic system"> semantic system</a>, <a href="https://publications.waset.org/abstracts/search?q=ontology" title=" ontology"> ontology</a>, <a href="https://publications.waset.org/abstracts/search?q=evaluation" title=" evaluation"> evaluation</a>, <a href="https://publications.waset.org/abstracts/search?q=e-learning" title=" e-learning"> e-learning</a> </p> <a href="https://publications.waset.org/abstracts/72932/a-semantic-e-learning-and-e-assessment-system-of-learners" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/72932.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">334</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">1765</span> Personalize E-Learning System Based on Clustering and Sequence Pattern Mining Approach</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=H.%20S.%20Saini">H. S. Saini</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20Vijayalakshmi"> K. Vijayalakshmi</a>, <a href="https://publications.waset.org/abstracts/search?q=Rishi%20Sayal"> Rishi Sayal</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Network-based education has been growing rapidly in size and quality. Knowledge clustering becomes more important in personalized information retrieval for web-learning. A personalized-Learning service after the learners’ knowledge has been classified with clustering. Through automatic analysis of learners’ behaviors, their partition with similar data level and interests may be discovered so as to produce learners with contents that best match educational needs for collaborative learning. We present a specific mining tool and a recommender engine that we have integrated in the online learning in order to help the teacher to carry out the whole e-learning process. We propose to use sequential pattern mining algorithms to discover the most used path by the students and from this information can recommend links to the new students automatically meanwhile they browse in the course. We have Developed a specific author tool in order to help the teacher to apply all the data mining process. We tend to report on many experiments with real knowledge so as to indicate the quality of using both clustering and sequential pattern mining algorithms together for discovering personalized e-learning systems. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=e-learning" title="e-learning">e-learning</a>, <a href="https://publications.waset.org/abstracts/search?q=cluster" title=" cluster"> cluster</a>, <a href="https://publications.waset.org/abstracts/search?q=personalization" title=" personalization"> personalization</a>, <a href="https://publications.waset.org/abstracts/search?q=sequence" title=" sequence"> sequence</a>, <a href="https://publications.waset.org/abstracts/search?q=pattern" title=" pattern"> pattern</a> </p> <a href="https://publications.waset.org/abstracts/33440/personalize-e-learning-system-based-on-clustering-and-sequence-pattern-mining-approach" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/33440.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">427</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">1764</span> A Reading Light That Can Adjust Indoor Light Intensity According to the Activity and Person for Improve Indoor Visual Comfort of Occupants and Tested using Post-occupancy Evaluation Techniques for Sri Lankan Population</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=R.T.P.%20De%20Silva">R.T.P. De Silva</a>, <a href="https://publications.waset.org/abstracts/search?q=T.%20K.%20Wijayasiriwardhane"> T. K. Wijayasiriwardhane</a>, <a href="https://publications.waset.org/abstracts/search?q=B.%20Jayawardena"> B. Jayawardena</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Most people nowadays spend their time indoor environment. Because of that, a quality indoor environment needs for them. This study was conducted to identify how to improve indoor visual comfort using a personalized light system. Light intensity, light color, glare, and contrast are the main facts that affect visual comfort. The light intensity which needs to perform a task is changed according to the task. Using necessary light intensity and we can improve the visual comfort of occupants. The hue can affect the emotions of occupants. The preferred light colors and intensity change according to the occupant's age and gender. The research was conducted to identify is there any relationship between personalization and visual comfort. To validate this designed an Internet of Things-based reading light. This light can work according to the standard light levels and personalized light levels. It also can measure the current light intensity of the environment and maintain continuous light levels according to the task. The test was conducted by using 25 undergraduates, and 5school students, and 5 adults. The feedbacks are gathered using Post-occupancy evaluation (POE) techniques. Feedbacks are gathered in three steps, It was done without any light control, with standard light level, and with personalized light level Users had to spend 10 minutes under each condition. After finishing each step, collected their feedbacks. According to the result gathered, 94% of participants rated a personalized light system as comfort for them. The feedbacks show stay under continuous light level help to keep their concentrate. Future research can be conducted on how the color of indoor light can affect for indoor visual comfort of occupants using a personalized light system. Further proposed IoT based can improve to change the light colors according to the user's preference. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=indoor%20environment%20quality" title="indoor environment quality">indoor environment quality</a>, <a href="https://publications.waset.org/abstracts/search?q=internet%20of%20things%20based%20light%20system" title=" internet of things based light system"> internet of things based light system</a>, <a href="https://publications.waset.org/abstracts/search?q=post%20occupancy%20evaluation" title=" post occupancy evaluation"> post occupancy evaluation</a>, <a href="https://publications.waset.org/abstracts/search?q=visual%20comfort" title=" visual comfort"> visual comfort</a> </p> <a href="https://publications.waset.org/abstracts/144243/a-reading-light-that-can-adjust-indoor-light-intensity-according-to-the-activity-and-person-for-improve-indoor-visual-comfort-of-occupants-and-tested-using-post-occupancy-evaluation-techniques-for-sri-lankan-population" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/144243.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">154</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">1763</span> Using Differentiation Instruction to Create a Personalized Experience</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Valerie%20Yocco%20Rossi">Valerie Yocco Rossi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Objective: The author will share why differentiation is necessary for all classrooms as well as strategies for differentiating content, process, and product. Through learning how to differentiate, teachers will be able to create activities and assessments to meet the abilities, readiness levels, and interests of all learners. Content and Purpose: This work will focus on how to create a learning experience for students that recognizes their different interests, abilities, and readiness levels by differentiating content, process, and product. Likewise, the best learning environments allow for choice. Choice boards allow students to select tasks based on interests. There can be challenging and basic tasks to meet the needs of various abilities. Equally, rubrics allow for personalized and differentiated assessments based on readiness levels and cognitive abilities. The principals of DI help to create a classroom where all students are learning to the best of their abilities. Outcomes: After reviewing the work, readers will be able to (1) identify the benefits of differentiated instruction; (2) convert traditional learning activities to differentiated ones; (3) differentiate, writing-based assessments. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=differentiation" title="differentiation">differentiation</a>, <a href="https://publications.waset.org/abstracts/search?q=personalized%20learning" title=" personalized learning"> personalized learning</a>, <a href="https://publications.waset.org/abstracts/search?q=design" title=" design"> design</a>, <a href="https://publications.waset.org/abstracts/search?q=instructional%20strategies" title=" instructional strategies"> instructional strategies</a> </p> <a href="https://publications.waset.org/abstracts/168918/using-differentiation-instruction-to-create-a-personalized-experience" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/168918.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">69</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">1762</span> Anatolian Geography: Traditional Medicine and Its Herbs</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=H%C3%BCseyin%20Bi%C3%A7er">Hüseyin Biçer</a> </p> <p class="card-text"><strong>Abstract:</strong></p> There are more than a thousand endemic plants growing in Turkey. On the other hand, apart from these plantsAnatolia is home to more plant diversitythan the neighboring countries due to its transitional zone. These plants become a part of traditional medicine in the hope of curing the people with whom they have lived for thousands of years. No matter how important the climate is for the plant, the diseases of the region have an important place in the plant's life. While the plants used for tea are in the foreground in regions with heavy winters, the use of raw plants and fruits is common in some gastrointestinal problems. The aim of this study is explaining using the area of endemic plants in Anatolia. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=anatolian%20traditional%20medicine" title="anatolian traditional medicine">anatolian traditional medicine</a>, <a href="https://publications.waset.org/abstracts/search?q=traditional%20medicine" title=" traditional medicine"> traditional medicine</a>, <a href="https://publications.waset.org/abstracts/search?q=anatolian%20medicine" title=" anatolian medicine"> anatolian medicine</a>, <a href="https://publications.waset.org/abstracts/search?q=herbs" title=" herbs"> herbs</a> </p> <a href="https://publications.waset.org/abstracts/143916/anatolian-geography-traditional-medicine-and-its-herbs" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/143916.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">179</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">1761</span> TimeTune: Personalized Study Plans Generation with Google Calendar Integration</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chevon%20Fernando">Chevon Fernando</a>, <a href="https://publications.waset.org/abstracts/search?q=Banuka%20Athuraliya"> Banuka Athuraliya</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The purpose of this research is to provide a solution to the students’ time management, which usually becomes an issue because students must study and manage their personal commitments. "TimeTune," an AI-based study planner that provides an opportunity to maneuver study timeframes by incorporating modern machine learning algorithms with calendar applications, is unveiled as the ideal solution. The research is focused on the development of LSTM models that connect to the Google Calendar API in the process of developing learning paths that would be fit for a unique student's daily life experience and study history. A key finding of this research is the success in building the LSTM model to predict optimal study times, which, integrating with the real-time data of Google Calendar, will generate the timetables automatically in a personalized and customized manner. The methodology encompasses Agile development practices and Object-Oriented Analysis and Design (OOAD) principles, focusing on user-centric design and iterative development. By adopting this method, students can significantly reduce the tension associated with poor study habits and time management. In conclusion, "TimeTune" displays an advanced step in personalized education technology. The fact that its application of ML algorithms and calendar integration is quite innovative is slowly and steadily revolutionizing the lives of students. The excellence of maintaining a balanced academic and personal life is stress reduction, which the applications promise to provide for students when it comes to managing their studies. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=personalized%20learning" title="personalized learning">personalized learning</a>, <a href="https://publications.waset.org/abstracts/search?q=study%20planner" title=" study planner"> study planner</a>, <a href="https://publications.waset.org/abstracts/search?q=time%20management" title=" time management"> time management</a>, <a href="https://publications.waset.org/abstracts/search?q=calendar%20integration" title=" calendar integration"> calendar integration</a> </p> <a href="https://publications.waset.org/abstracts/185394/timetune-personalized-study-plans-generation-with-google-calendar-integration" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/185394.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">48</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">1760</span> Exploring MPI-Based Parallel Computing in Analyzing Very Large Sequences</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bilal%20Wajid">Bilal Wajid</a>, <a href="https://publications.waset.org/abstracts/search?q=Erchin%20Serpedin"> Erchin Serpedin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The health industry is aiming towards personalized medicine. If the patient’s genome needs to be sequenced it is important that the entire analysis be completed quickly. This paper explores use of parallel computing to analyze very large sequences. Two cases have been considered. In the first case, the sequence is kept constant and the effect of increasing the number of MPI-based processes is evaluated in terms of execution time, speed and efficiency. In the second case the number of MPI-based processes have been kept constant whereas, the length of the sequence was increased. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=parallel%20computing" title="parallel computing">parallel computing</a>, <a href="https://publications.waset.org/abstracts/search?q=alignment" title=" alignment"> alignment</a>, <a href="https://publications.waset.org/abstracts/search?q=genome%20assembly" title=" genome assembly"> genome assembly</a>, <a href="https://publications.waset.org/abstracts/search?q=alignment" title=" alignment"> alignment</a> </p> <a href="https://publications.waset.org/abstracts/40924/exploring-mpi-based-parallel-computing-in-analyzing-very-large-sequences" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/40924.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> 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