5,218 research outputs found

    Water Purification Under the Magnetization Method: A Review

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    Water is an essential element for living organisms. The availability of fresh drinking water is getting lower day by day with the increasing pollution. Water contamination is a major cause of concern all around the world. There are many methods through which the water is treated among which the Magnetic water treatment method is one method. Which has shown its potential in treating the water. The electromagnetic eater treatment classified and extended method of magnetic water treatment has shown its potential in the Reduction of the formation of scales and treating industrial wastewater has been its most covered area when it comes to treating water. It is a simple technique and has shown its potential in different fields. This review aims to magnetic water treatment techniques. The efficiency, working mechanism, and classification of the magnetic water treatment technique are highlighted

    Utilization Of Artificial Intelligence (AI) And Machine Learning (ML) in the Field of Energy Research

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    Many governments have committed to becoming carbon neutral by 2050. The main argument is that renewable resources are more eco-friendly than fossil fuels. However, the unpredictable nature of solar and wind power results in either excess or lack of energy generation. This article will evaluate the current machine-learning-based solutions for forecasting renewable energy demand and capacity. Many researchers have used machine learning (ML) to anticipate the amount of generated wind or solar energy. SVM, RNN, NN, and ELM are the most utilized algorithms. Prediction accuracy is improved through optimization (metaheuristics and evolution). These methods can forecast renewable energy for periods ranging from seconds to months. This article compares several ML methodologies and metaheuristic strategies and reviews the current state of research. The hybrid MLS outperforms the standalone optimizers. A more extensive data set for ANN, the introduction of NWP, and a shorter prediction timeframe are suggested as alternatives to Bayesian and random grid tuning. Further research on probabilistic predictions and mathematical relationships between inputs and outputs is needed to close the research gap

    Competencies for Successful Middle Managers in Healthcare and Medical Education

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    The Kingdom of Saudi Arabia (KSA) and the Kingdom of Bahrain (KB) are currently in the process of the rapid transformation of health care to a self-sustained autonomous system. Middle managers play a pivotal role in achieving this goal. The aim of this study is to develop a feasible, reliable, and valid scale for measuring the leadership and managerial competencies of MM in KSA and KB. Zhou’s (2019) conceptual framework using a mixed-method approach was followed. After procuring ethical clearance from concerned authorities and informed consent from all the participants (n = 27), semi-structured interviews were conducted across three groups: Top Management (TM), Middle Management comprising of Middle Managers (MM), and Lower Management (LM) for the creation of items for the scale, which were later approved by five experts. Two hundred two participants from medical education (ME) and health care (HC) responded to the new scale. Cronbach\u27s alpha and exploratory and confirmatory factor analysis were performed to confirm internal consistency and validity. The model fit was adequate with a good GFI (0.90), TLI (0.96), and RMSEA (0.06). Seven major themes emerged from the thematic analysis, while a structural model with three inter-related constructs—“professionalism and problem solving,” “team management and adaptation,” and “time management and expertise” were recognized based on factor analysis. Both TM and LM identified the ability to motivate (70.8%) as comprising one of the most significant characteristics of MM. TM also indicated that concern and consideration of subordinates (68.8%) were important. LM considered being active (71.6%) as important for MM. Interestingly, MM had scored these attributes lower, illustrating the different ways in which MM is perceived across the three levels of management. Importantly, MM acknowledged concern for employee well-being, relationship, communication, and being active as crucial competencies, representing a mix of all competencies identified by the three levels of management. The “Leadership and Managerial Competency Scale for Middle Managers in Gulf Region (LMCS-MM Gulf Region)” developed under this study reflects what people in the three levels of management (lower, middle, and top) across ME and HC value in a (hypothetical) middle manager. This scale has several implications for the selection, training, and appraisal of MM in ME and HC. This dissertation is available in open access at AURA (https://aura.antioch.edu) and OhioLINK ETD Center (https://etd.ohiolink.edu)

    ALCOHOL POLICY IN MUSLIM MAJORITY COUNTRIES

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    Background: Due to the Islamic prohibition of alcohol consumption in Muslim Majority Countries (MMCs), alcohol policy research has been limited. However, consumption in MMCs has recently increased. Also, globalization and governmental transition can all affect alcohol policy development. This research examines the extent of civil alcohol prohibition in MMCs. Using Iran as a case study, it describes how alcohol prohibition can be translated into policy, including alcohol treatment policy, in a MMC. Methods: The research was conducted in three languages: Arabic, Persian and English. Policy analysis drew on case study and qualitative research methods and narrative synthesis for literature review. For Iran, publicly available literature and policy documents were collected, and information verified through consultation. Newspapers were reviewed over three time periods. Walt & Gilson’s framework was used to identify alcohol policy content, context, actors and process, including in treatment policy. Results: Four broad approaches to civil alcohol policy in MMCs were identified. From the 50 MMCs, only five have total prohibition, 10 have prohibition with concessions, others have restriction or regulation policies. Despite its approach of prohibition with concessions for non-Muslims, Iran has used nine out of ten recommended WHO alcohol policy strategy domains in a context-specific way. Pricing and taxation is not used. Iran has started a multisectoral approach to treatment of unhealthy alcohol consumption. Conclusion: MMCs face challenges in creating alcohol policies. Many have implemented civil alcohol policies that are not limited to Islamic prohibition. However, WHO alcohol policy assessment tools do not detect many MMC alcohol policies, because tools were designed for non-Muslim and developed countries. Policy formation in MMCs could beneïŹt from external expert support and relevant research

    The electronic origin of the ground state spectral features and excited state deactivation in cycloalkanones: the role of intermolecular H-bonding in neat and binary mixtures of solvents

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    In this study, a D-A cycloalkanone (K1) has been investigated by steady state absorption and fluorescence in neat solvents and in three binary mixtures of nonpolar aprotic/polar protic, polar aprotic/polar protic, and polar protic/polar protic solvents. The experimental findings were complemented by density functional theory (DFT), time-dependent density functional theory (TD-DFT), and NBO quantum-mechanical calculations. Experimentally, effective changes in absorption and fluorescence were observed by solute-solvent interaction. The binary K1-solvent1-solv2 configuration, modeled at the B3LYP-DFT level, confirms involvement of inter-molecular H-bonding with the carbonyl C=O in the fluorescence deactivation process (quenching). This is supported by considerable electron delocalization from C=O to the solvent's hydroxyl (nO????*H-O). This type of hyperconjugation was found to be the main driver for solute-solvent stabilization.Scopu

    A Comparison Study of Communication Skills between General Surgery and General Practice Residents on First-time Patient Visits

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    Background: There is little published research about differences in doctor-patient communication of different specialties. Accordingly, we compared doctor-patient communication skills in two different specialties, general surgery (GS) and general practice (GP). Methods: Twenty residents training at the Bahrain Defence Force Hospital (10 men and 10 women; mean age 28 years; 10 GS and 10 GP) participated in 200 patient first visit consultations. The consultations were video-recorded and analysed by four trained observers using the MAAS Global scale. Results: 1) Internal consistency reliability of the MAAS Global (> 0.91) and Ep2 = 0.84 for raters was high, 2) GP residents spent more time (12 minutes) than GS residents (7 minutes), in the visits, 3) There were several differences on the MAAS Global items between GP and GS residents (GS > GP, p < 0.05 on history taking, diagnosis and medical aspects; GP > GS, p < 0.05 on information giving), and 4) The present participants performed well compared to normative samples as well as to criterion-referenced cut-off scores. The general level of communication skills in both specialties, however, was ‘unsatisfactory’ and ‘doubtful’, as it is for normative samples. Conclusion: Excellent doctor-patient communication is essential but does not appear to receive the amount of attention that it deserves in practice settings. There are some differences between specialties as well as unsatisfactory communication skills for both specialties, since residents from both programs spent less time than recommended on each consultation. Our findings emphasize the need to improve the communication skills of physicians in general and for surgeons in particular.
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