Volume 11 | Issue 6 |

 Abstract

Face mask use has been identified as one of the most efficient strategies to stop spreading of the COVID-19 epidemic, which has produced a global health disaster. With the increasing demand for mask-wearing in public places, detecting whether individuals are wearing masks or not has become a critical issue. Artificial Intelligence (AI) techniques have emerged as a promising solution for face mask detection. This survey paper provides an impression of recent investigation on the use of AI for face mask detection. The paper first introduces the importance of mask-wearing in preventing COVID-19, and then reviews the state-of-the-art AI techniques used for face mask detection, including deep learning techniques, machine learning techniques, and combined methods. The survey also covers different datasets and evaluation metrics used in the studies. The paper comes to a close with an assessment of upcoming directions for this field of study.

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 Keywords

Artificial Intelligence, Face mask detection, Deep Learning

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Creative Commons Attribution 4.0 and The Open Definition

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single-crystal X-ray study; synthesis; crystal structure; pyrrolidine; fluoro; indoline; C-H...F, C-H...N and N-H...O; hydrogen bonds; ?-stacking; T = 295 K; R factor = 0.0519; wR factor = 0.1549; data-to-parameter ratio = 10.5.

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Creative Commons Attribution 4.0 and The Open Definition

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ABSTRACT: Background: Academic stress is a mental suffering caused by the expected dissatisfaction of academic failure. Whereas emotional intelligence is a personality trait that indicates an individual's ability to comprehend and tolerate one's own emotions as well as those of others. Aim and Objective: The broad aim of the present study was to investigate an empirical-based examination of the relationship among academic stress and emotional intelligence in secondary class students. The objectives of the study were to ascertain if there exist any gender, family structure and single child differences between academic stress and emotional intelligence. Method: The present study aims to investigate emotional intelligence and academic performance of students at the secondary level. Using random sampling technique 200 students, from the secondary level in different systems of education, namely, state, matriculation and central board schools are chosen. The Emotional Intelligence Scale has been used to assess the emotional intelligence and the marks scored yearly performance. The data collected is subjected to statistical analysis, namely, mean, standard deviation, 't'- test, Karl Pearson's Product Moment Correlation Co-efficient 'r'. Result: Results show a positive significant correlation between emotional intelligence and academic performance among the students. Further the students belonging to the central board schools have a higher level of emotional intelligence compared to students in state board but did not differ with students in matriculation board schools at the secondary level. Similarly, students belonging to central board schools are found to perform better in academics compared to students in state and matriculation board schools at the secondary level.

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Keywords: Academic stress, Emotional intelligence, Academic score.

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Creative Commons Attribution 4.0 and The Open Definition

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The uncommon disease aniridie, caused by a mutation in the gene PAX6, affects the whole ocular globe. We present the case of a 37-year-old woman who has bilateral eye pain and is malvoyant, known to have an aniridia, and hypoplasie of the fovea.

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Congenital aniridia;Lens dislocation;Foveal hypoplasia;Cataract.

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Accreditation ensures the standard of healthcare, yet accreditation effects on service quality are much debated. Some perceive it as improving quality and organizational performance, whereas others see it as overly bureaucratic and time-consuming, so adding it has limited advantage. The aim of the present study was to understand the perception of hospital staff working in quality management (i.e., doctors, nurses, management and administrators) on accreditation, and determine whether years of accreditation have had any impact on their perception. This was a cross-sectional, descriptive, data-based study initiated by the Consortium of Accredited Healthcare Organizations. It consisted of primary data obtained in form of responses to a 30-item questionnaire and collected from 100 respondents. A probability (p) value of less than 0.05 was considered statistically significant. Results: For all 30 items, a significantly greater number of participants had a favorable response (p , 0.001). A greater number of administrators, as compared with doctors and nurses, responded positively on the impact of accreditation (p , 0.05). Participants from hospitals with 1-4 years of accreditation, as compared with participants from hospitals with 4-12 years of accreditation, gave a favorable response (p , 0.05). One of the most important hurdles to implementing accreditation programs is the dilemma of healthcare professionals, especially senior hospital staff, regarding the positive impact of accreditation. The need to educate healthcare professionals about the potential benefits of accreditation, which should resolve any cynical attitude of healthcare professionals towards accreditation, is of utmost importance. Accreditation is viewed as a reputable tool to evaluate and enhance the quality of health care. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, two reviewers independently screened initially identified articles, reviewed the full-text of potentially relevant studies, extracted necessary data, and assessed the methodological quality of the included studies using a validated tool. The accreditation effects were synthesized and categorized thematically into six impact themes. Accreditation on healthcare workers and particularly on job stress, our results indicate a consistent positive effect of hospital accreditation on safety culture, process-related performance measures, efficiency, and the patient length of stay, whereas employee satisfaction, patient satisfaction and experience, and 30-day hospital readmission rate were found to be unrelated to accreditation. Paradoxical results regarding the impact of accreditation on mortality rate and healthcare-associated infections hampered drawing firm conclusions on these outcome measures.

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 Keywords

hospital accreditation, healthcare services, patient safety, benefits of accreditation, quality of care, quality indicators

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Creative Commons Attribution 4.0 and The Open Definition

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Due of its many benefits, home automation is growing in popularity every day. The home automation system is currently being controlled via emails, SMS, or other applications, according to the present state of development. The scientific community and the industry, however, have made large investments in the Internet of Things (IoT) space in recent years. With the release of gadgets like the Amazon Echo, Google Home, and Samsung Smart Things, among others, the Smart Home market has been given special attention. An industry's expansion produces creative, cost-effective, and cutting-edge solutions. This essay focuses on creating a reliable, economical solution that may be used broadly in non-smart houses. Amazon Echo, Amazon Cloud, and Amazon Speech Services are used to power our system. The hardware utilized to provide smart features for non-smart homes is Arduino ESP32. Identify the various parts of our product and demonstrate how well our system works to turn on and turn off our appliances. Any equipment or appliances at home will be able to be controlled using voice commands. In comparison to conventional homes, automated homes will have better communication because to this.

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IoT, Home Automation, Wi-fi, ESP32.

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The identification of mobile malware has emerged as a critical concern due to the widespread usage of mobile devices in our daily lives and the storing of significant personal and financial data on these devices. It has become more and more important to protect sensitive information on smartphones and tablets from unwanted assaults. The identification of mobile malware has emerged as a critical concern due to the widespread usage of mobile devices in our daily lives and the storing of significant personal and financial data on these devices. It has become more and more important to protect sensitive information on smartphones and tablets from unwanted assaults. Since machine learning enables us to automatically identify patterns and features in the data that may be suggestive of mobile malware, it can be a strong tool for malware detection on mobile devices. Following are some steps: Data gathering: In order to train and test the machine learning models, a significant dataset of mobile apps-- both malicious and benign--must be gathered first. Model choice: Mobile malware can be detected using a variety of machine learning algorithms, including decision trees, random forests, and support vector machines. model education The labelled dataset, in which each app is classified as either benign or malicious, is used to train the machine learning model. To reduce prediction errors, the model's parameters must be improved iteratively during the training phase. The model gains the ability to generate precise predictions by modifying its internal parameters after being exposed to a sizable dataset of input-output pairings. The training algorithm's optimisation goal is to reduce the discrepancy between the model's predictions and the desired results. The model continuously increases its capacity to make precise predictions and generalise to unobserved data through numerous iterations and modifications. Metrics including precision, accuracy, F1 score, and recall are frequently used to judge a model's efficacy. exemplary deployment The model is prepared for use in real-world scenarios for mobile virus detection following the completion of the training and evaluation phases. It's important to note that creating a machine learning strategy that effectively detects mobile malware can be difficult because malware authors are continuously coming up with innovative and complex ways to avoid detection.

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None

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Creative Commons Attribution 4.0 and The Open Definition

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Having a fair, equitable, compensation is not enough anymore, there are numerous other factors that contribute in making the compensation that is of value to the employee. A well designed, strategically planned compensation will not only motivate employee but also increase commitment, dedication and loyalty which will reduce turnover intention. Motivated employees tend to be more engaged, productive, and loyal to the organization and plays a vital role in employee engagement, job satisfaction, and commitment towards the organization, resulting in reduced turnover rates. Any organisation exists to make profit, achieve business goals and to be sustainable for a long run. For this it needs best performing employees, who are hardworking, enthusiastic, and delivers beyond expectations. For this it is very important to have motivated individuals who are driven and inspired and is willing to stay with its organisation for a long run. In this paper, researcher aims at evaluating the relationship between Motivation and Turnover Intention and highlighting its impact on compensation to have an improved understanding and insight on designing the compensation strategies for future. The findings highlight the importance of effective compensation strategies in enhancing motivation, reducing turnover intention, and improving overall organizational performance.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Compensation, Motivation, Turnover Intention, employee commitment, Job Satisfaction

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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smoking effect on mouth

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Creative Commons Attribution 4.0 and The Open Definition

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Aloe vera barbadense has been treasured as a sacred botanical since ancient times, revered across many cultures for its numerous health and healing properties for the hair and the body as a whole. The juice from the plant has been called the "blood of the gods." Aloe vera has also been referred to as "the plant of immortality." It has earned the name, kumari in sanskrit which translates as the word, princess, implying the plant's anthropomorphized feminine and regal existence upon the physical plane. Native Americans thought of the pointy plant spears as each being a "wand of heaven,"

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Aloe Vera, Health and Beauty, Skin.

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Creative Commons Attribution 4.0 and The Open Definition