84 research outputs found

    Emotional Intelligence and Teaching Satisfaction: The Mediating Role of Emotional Labor Strategies

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    The study examines the direct effect of four ā€œemotional intelligenceā€ attributes on teachersā€™ job satisfaction in Karachiā€™s private teaching institutions. The study also investigates the mediating effects of ā€œemotional labor strategiesā€ on teachersā€™ job satisfaction. We have used the questionnaire adopted from earlier studies. We distributed 550 questionnaires to respondents, of which we received 499 useable responses. The study has used Smart PLS version 3.3 for data analysis. Our results support only six hypotheses, including two direct and our indirect. This study has contributed to the body of knowledge in the following ways. First, it has measured the effects of the four attributes of emotional intelligence on job satisfaction. Second, most studies have examined the mediating effect of emotional labor strategies on emotional intelligence and other job satisfaction antecedents. Perhaps this is the first study that has examined the direct impact of the sub-factor of emotional intelligence on teachersā€™ job satisfaction. Additionally, it also looks at the mediating effect of emotional labor strategies on teachersā€™ satisfaction. There are several implications for managers. For example, the teaching institutes should provide counseling and training to teachers for enhancing their emotional intelligence. Emotional labor strategies help individuals control and monitor their emotions; therefore, educational institutions may also encourage their teachers to adopt these strategies

    Secrecy Spectrum and Energy Efficiency Analysis in Massive MIMO-enabled Multi-Tier Hybrid HetNets

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    Massive multiple antenna systems in conjunction with millimeter (mmWave) communication have gained tremendous attention in the recent years owing to their high speed data delivery. However, security in these networks has been overlooked; thereby necessitating a comprehensive study. This paper analyzes the physical layer security performance of the downlink of a massive multiple-input multiple-output (MIMO)-based hybrid heterogeneous network (HetNet) where both mmWave and sub-6 GHz small cells coexist. Specifically, a tractable approach using stochastic geometry is proposed to analyze the secrecy outage probability, secrecy energy efficiency (SEE) and secrecy spectrum efficiency (SSE) of the hybrid HetNets. Our study further characterizes the impact of large antenna arrays, directional beamforming gains, transmit power, and cell density on the above mentioned secrecy performance measures. The results show that at low transmit power operation, the secrecy performance enhances for higher small cell density. It has also been observed that the higher directivity gains at mmWave cells lead to a drop in secrecy performance of the network; thus a tradeoff exists between better coverage or secrecy

    The learners\u27 perspective on internal medicine ward rounds: a cross-sectional study

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    Background: Ward rounds form an integral part of Internal Medicine teaching. This study aimed to determine the trainees\u27 opinions regarding various aspects of their ward rounds, including how well they cover their learning needs, how they would like the rounds to be conducted, and differences of opinion between medical students and postgraduates. Methods: A cross-sectional study was conducted on a total of 134 trainees in Internal Medicine, comprising medical students, interns, residents and fellows, who were asked to fill in a structured, self-designed questionnaire. Most of the responses required a rating on a scale of 1-5 (1 being highly unsatisfactory and 5 being highly satisfactory). Results: Teaching of clinical skills and bedside teaching received the lowest overall mean score (Mean +/- SD 2.48 +/- 1.02 and 2.49 +/- 1.12 respectively). They were rated much lower by postgraduates as compared to students (p \u3c 0.001). All respondents felt that management of Patients was the aspect best covered by the current ward rounds (Mean +/- SD 3.71 +/- 0.72). For their desired ward rounds, management of Patients received the highest score (Mean +/- SD 4.64 +/- 0.55), followed by bedside examinations (Mean +/- SD 4.60 +/- 0.61) and clinical skills teaching (Mean +/- SD 4.50 +/- 0.68). The postgraduates desired a lot more focus on communication skills, counselling and medical ethics as compared to students, whose primary focus was teaching of bedside examination and management. A majority of the respondents (87%) preferred bedside rounds over conference room rounds. Even though the duration of rounds was found to be adequate, a majority of the trainees (68%) felt there was a lack of individual attention during ward rounds. Conclusions: This study highlights important areas where ward rounds need improvement in order to maximize their benefit to the learners. There is a need to modify the current state of ward rounds in order to address the needs and expectations of trainees

    Enhancing Vehicle Entrance and Parking Management: Deep Learning Solutions for Efficiency and Security

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    The auto-management of vehicle entrance and parking in any organization is a complex challenge encompassing record-keeping, efficiency, and security concerns. Manual methods for tracking vehicles and finding parking spaces are slow and a waste of time. To solve the problem of auto management of vehicle entrance and parking, we have utilized state-of-the-art deep learning models and automated the process of vehicle entrance and parking into any organization. To ensure security, our system integrated vehicle detection, license number plate verification, and face detection and recognition models to ensure that the person and vehicle are registered with the organization. We have trained multiple deep-learning models for vehicle detection, license number plate detection, face detection, and recognition, however, the YOLOv8n model outperformed all the other models. Furthermore, License plate recognition is facilitated by Google's Tesseract-OCR Engine. By integrating these technologies, the system offers efficient vehicle detection, precise identification, streamlined record keeping, and optimized parking slot allocation in buildings, thereby enhancing convenience, accuracy, and security. Future research opportunities lie in fine-tuning system performance for a wide range of real-world applications.Comment: Accepted for publication in the 25th International Multitopic Conference (INMIC) IEEE 2023, 6 Pages, 3 figure

    Patients\u27 satisfaction and opinions of their experiences during admission in a tertiary care hospital in Pakistan - a cross sectional study

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    Background: It is often felt that developing countries need to improve their quality of healthcare provision. This study hopes to generate data that can help managers and doctors to improve the standard of care they provide in line with the wishes of the patients.Methods: It was a cross sectional study carried out at a major tertiary care hospital of Karachi. Patients between the ages of 18 and 80 years admitted to the hospital for at least one day were included. Patients in the maternity, psychiatry and chemotherapy wards and those in the ICU/CCU were excluded. A pretested, peer reviewed translation of a validated patient satisfaction scale developed by the Picker Institute of Europe was administered.Results: A total of 173 patients (response rate: 78.6 %) filled the questionnaire. Patient satisfaction was at levels comparable to European surveys for most aspects of hospital care. However, nearly half the patients (48%) felt they had to wait too long to get a bed in the hospital after presenting to the ER. 68.6% of the patients said that they were never asked for views on the quality of care provided. 20% of the patients did not find anyone in the staff to talk to about their worries and fears while 27.6% felt that they were given emotional support to only some extent. Up to one third of the patients said they were not provided enough information regarding their operative procedures beforehand.CONCLUSION: Although several components of patient care equal the quality levels of the west, many sections require considerable improvement in order to improve health care provision. The healthcare team needs to get more involved with the patients, providing them greater support and keeping them informed and involved with their medical treatment. Efforts should be made to get regular feedback from the patients

    Evaluation of strength parameters of plain and reinforced concrete with the addition of polypropylene fibers

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    This research investigates the influence of incorporating small-diameter polypropylene fibers on the mechanical properties of concrete. The studied concrete properties include compressive strength, tensile strength, flexural strength (both plain and reinforced), shear strength, and the mitigation of shrinkage cracks. A total of 92 specimens were meticulously fabricated in the laboratory, comprising cylinders (12 inches in length and 6 inches in diameter), beams (20 x 4 x 4 inches), larger beams (60 x 9 x 9 inches), and slab panels (48 x 48 x 4 inches). During the specimen casting process, a consistent mix with a ratio of 1:2:4 and a water-cement ratio of 0.60 was consistently applied. The polypropylene fiber content varied at 0%, 0.2%, 0.4%, and 0.6% for each property examination. Results indicate a positive impact on all concrete properties studied upon the addition of polypropylene fibers. However, the optimal percentage of polypropylene fibers exhibited variability for each variable and property under investigation. This research contributes insights into the nuanced effects of polypropylene fibers on concrete properties, providing a basis for further exploration and practical application in optimizing concrete performance and durability

    Optimizing Industrial Processes in Beverages and Aerospace Sector: A Case Study Analysis

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    This study examines industrial process optimization approaches using case studies, literature reviews, and original research. It explores techniques such as linear programming, simulation modelling, Lean, Six Sigma, and advanced machine learning algorithms. Case studies exemplify the application of these methods in beverages and aerospace sectors, the study employs specific strategies and data collection methods, providing insights into the applicability, strengths, and limitations of various methodologies. Results highlight both quantitative and qualitative outcomes, offering valuable insights for practitioners and decision-makers

    A case of pseudohyperkalemia in a patient presenting with leucocytosis and high potassium level: a Case Report

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    Pseudohyperkalemia can appear in a variety of settings and should be recognized early. Treatment of pseudohyperkalemia can lead to an inappropriate decrease of actual serum potassium levels which may lead to life threatening conditions. In the case presented, an 81-year-old male presented with massive leucocytosis and an extremely elevated potassium level. This case report emphasizes the importance of recognizing pseudohyperkalemia in a patient with a severely increased potassium and WBC level; such patients may be clinically asymptomatic or may have a normal ECG
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