Search results for: S. O. Adeogun

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Adeogun</title> <meta name="description" content="Search results for: S. O. Adeogun"> <meta name="keywords" content="S. O. Adeogun"> <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 ml-auto" type="button" data-toggle="collapse" data-target="#navbarMenu" aria-controls="navbarMenu" aria-expanded="false" aria-label="Toggle navigation"> <span class="navbar-toggler-icon"></span> </button> <div class="w-100"> <div class="d-none d-lg-flex flex-row-reverse"> <form method="get" action="https://waset.org/search" class="form-inline my-2 my-lg-0"> <input class="form-control mr-sm-2" type="search" placeholder="Search Conferences" value="S. 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O. Adeogun"> <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> 4</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: S. O. Adeogun</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4</span> Effect of Communication Pattern on Agricultural Employees' Job Performance</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=B.%20G.%20Abiona">B. G. Abiona</a>, <a href="https://publications.waset.org/abstracts/search?q=E.%20O.%20Fakoya"> E. O. Fakoya</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20O.%20Adeogun"> S. O. Adeogun</a>, <a href="https://publications.waset.org/abstracts/search?q=J.%20O.%20Blessed"> J. O. Blessed </a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study assessed the influence of communication pattern on agricultural employees’ job performance. Data were collected from 61 randomly selected respondents using a structured questionnaire. Perceived communication pattern that influence job performance include: the attitude of the administrators (x̅ = 3.41, physical barriers to communication flow among employees (x̅ = 3.21). Major challenges to respondents’ job performance were different language among employees (x̅ = 3.12), employees perception on organizational issues (x̅ = 3.09), networking (x̅ = 2.88), and unclear definition of work (x̅ = 2.74). A significant relationship was found between employees’ perceived communication pattern (r = 0.423, p < 0.00) and job performance. Information must be well designed in such a way that would positively influence employees’ job performance as this is essential in any agricultural organizations. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=communication%20pattern" title="communication pattern">communication pattern</a>, <a href="https://publications.waset.org/abstracts/search?q=job%20performance" title=" job performance"> job performance</a>, <a href="https://publications.waset.org/abstracts/search?q=agricultural%20employees" title=" agricultural employees"> agricultural employees</a>, <a href="https://publications.waset.org/abstracts/search?q=constraint" title=" constraint"> constraint</a>, <a href="https://publications.waset.org/abstracts/search?q=administrators" title=" administrators"> administrators</a>, <a href="https://publications.waset.org/abstracts/search?q=attitude" title=" attitude "> attitude </a> </p> <a href="https://publications.waset.org/abstracts/31891/effect-of-communication-pattern-on-agricultural-employees-job-performance" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/31891.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">361</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> Effects of Workplace Power on Employees’ Job Performance in Selected Federal Universities of Agriculture in Nigeria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=B.%20G.%20Abiona">B. G. Abiona</a>, <a href="https://publications.waset.org/abstracts/search?q=T.%20D.%20Odetayo"> T. D. Odetayo</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20O.%20Adeogun"> S. O. Adeogun</a>, <a href="https://publications.waset.org/abstracts/search?q=O.%20E.%20Fakoya"> O. E. Fakoya</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study determined the effects of workplace power on employees’ job performance in selected federal universities of agriculture in Nigeria. Two hundred and twenty-seven (227) employees were randomly drawn from the selected universities through a multistage sampling procedure. The mean age of the employees was 38 years, mostly (60.8%) male. Results indicated that the overall job performance was significantly influenced by an expert (b = 0.287, p<0.01) and legitimate power (b = -0.279, p<0.05). The findings clearly showed that supervisor has considerable professional experience to draw from in helping subordinates to do their work better because they have specialized training in their field of study, and subordinates prefer to do what the supervisor suggests because of their professional expertise, which greatly influences employees’ job performance. A policy that will ensure transparency in all administrative procedures, with a formal line of authority that will enhance the thriving of legitimate power, should be established within organisation is recommended. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=workplace%20power" title="workplace power">workplace power</a>, <a href="https://publications.waset.org/abstracts/search?q=employees" title=" employees"> employees</a>, <a href="https://publications.waset.org/abstracts/search?q=job%20performance" title=" job performance"> job performance</a>, <a href="https://publications.waset.org/abstracts/search?q=agricultural%20unversities" title=" agricultural unversities"> agricultural unversities</a> </p> <a href="https://publications.waset.org/abstracts/165985/effects-of-workplace-power-on-employees-job-performance-in-selected-federal-universities-of-agriculture-in-nigeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/165985.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">90</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> Validation of SWAT Model for Prediction of Water Yield and Water Balance: Case Study of Upstream Catchment of Jebba Dam in Nigeria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Adeniyi%20G.%20Adeogun">Adeniyi G. Adeogun</a>, <a href="https://publications.waset.org/abstracts/search?q=Bolaji%20F.%20Sule"> Bolaji F. Sule</a>, <a href="https://publications.waset.org/abstracts/search?q=Adebayo%20W.%20Salami"> Adebayo W. Salami</a>, <a href="https://publications.waset.org/abstracts/search?q=Michael%20O.%20Daramola"> Michael O. Daramola</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Estimation of water yield and water balance in a river catchment is critical to the sustainable management of water resources at watershed level in any country. Therefore, in the present study, Soil and Water Assessment Tool (SWAT) interfaced with Geographical Information System (GIS) was applied as a tool to predict water balance and water yield of a catchment area in Nigeria. The catchment area, which was 12,992km2, is located upstream Jebba hydropower dam in North central part of Nigeria. In this study, data on the observed flow were collected and compared with simulated flow using SWAT. The correlation between the two data sets was evaluated using statistical measures, such as, Nasch-Sucliffe Efficiency (NSE) and coefficient of determination (R2). The model output shows a good agreement between the observed flow and simulated flow as indicated by NSE and R2, which were greater than 0.7 for both calibration and validation period. A total of 42,733 mm of water was predicted by the calibrated model as the water yield potential of the basin for a simulation period 1985 to 2010. This interesting performance obtained with SWAT model suggests that SWAT model could be a promising tool to predict water balance and water yield in sustainable management of water resources. In addition, SWAT could be applied to other water resources in other basins in Nigeria as a decision support tool for sustainable water management in Nigeria. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=GIS" title="GIS">GIS</a>, <a href="https://publications.waset.org/abstracts/search?q=modeling" title=" modeling"> modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=sensitivity%20analysis" title=" sensitivity analysis"> sensitivity analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=SWAT" title=" SWAT"> SWAT</a>, <a href="https://publications.waset.org/abstracts/search?q=water%20yield" title=" water yield"> water yield</a>, <a href="https://publications.waset.org/abstracts/search?q=watershed%20level" title=" watershed level"> watershed level</a> </p> <a href="https://publications.waset.org/abstracts/3782/validation-of-swat-model-for-prediction-of-water-yield-and-water-balance-case-study-of-upstream-catchment-of-jebba-dam-in-nigeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/3782.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">439</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> Revolutionizing Healthcare Communication: The Transformative Role of Natural Language Processing and Artificial Intelligence</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Halimat%20M.%20Ajose-Adeogun">Halimat M. Ajose-Adeogun</a>, <a href="https://publications.waset.org/abstracts/search?q=Zaynab%20A.%20Bello"> Zaynab A. Bello</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Artificial Intelligence (AI) and Natural Language Processing (NLP) have transformed computer language comprehension, allowing computers to comprehend spoken and written language with human-like cognition. NLP, a multidisciplinary area that combines rule-based linguistics, machine learning, and deep learning, enables computers to analyze and comprehend human language. NLP applications in medicine range from tackling issues in electronic health records (EHR) and psychiatry to improving diagnostic precision in orthopedic surgery and optimizing clinical procedures with novel technologies like chatbots. The technology shows promise in a variety of medical sectors, including quicker access to medical records, faster decision-making for healthcare personnel, diagnosing dysplasia in Barrett's esophagus, boosting radiology report quality, and so on. However, successful adoption requires training for healthcare workers, fostering a deep understanding of NLP components, and highlighting the significance of validation before actual application. Despite prevailing challenges, continuous multidisciplinary research and collaboration are critical for overcoming restrictions and paving the way for the revolutionary integration of NLP into medical practice. This integration has the potential to improve patient care, research outcomes, and administrative efficiency. The research methodology includes using NLP techniques for Sentiment Analysis and Emotion Recognition, such as evaluating text or audio data to determine the sentiment and emotional nuances communicated by users, which is essential for designing a responsive and sympathetic chatbot. Furthermore, the project includes the adoption of a Personalized Intervention strategy, in which chatbots are designed to personalize responses by merging NLP algorithms with specific user profiles, treatment history, and emotional states. The synergy between NLP and personalized medicine principles is critical for tailoring chatbot interactions to each user's demands and conditions, hence increasing the efficacy of mental health care. A detailed survey corroborated this synergy, revealing a remarkable 20% increase in patient satisfaction levels and a 30% reduction in workloads for healthcare practitioners. The poll, which focused on health outcomes and was administered to both patients and healthcare professionals, highlights the improved efficiency and favorable influence on the broader healthcare ecosystem. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=natural%20language%20processing" title="natural language processing">natural language processing</a>, <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=healthcare%20communication" title=" healthcare communication"> healthcare communication</a>, <a href="https://publications.waset.org/abstracts/search?q=electronic%20health%20records" title=" electronic health records"> electronic health records</a>, <a href="https://publications.waset.org/abstracts/search?q=patient%20care" title=" patient care"> patient care</a> </p> <a href="https://publications.waset.org/abstracts/178940/revolutionizing-healthcare-communication-the-transformative-role-of-natural-language-processing-and-artificial-intelligence" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/178940.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">76</span> </span> </div> </div> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/WASET-16th-foundational-anniversary.pdf">WASET celebrates its 16th foundational 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Search results for: S. O. Adeogun