Volume 11 | Issue 6 |

 Abstract

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

 Abstract

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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 Keywords

IoT, Home Automation, Wi-fi, ESP32.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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

 Abstract

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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 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

 Abstract

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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 Keywords

Aloe Vera, Health and Beauty, Skin.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Accident detection is an essential application in intelligent transportation systems for the safety of drivers and passengers. In recent year, deep learning based objects detection models have shown significant improvements for detecting objects in real-time. YOLO (You Only Look Once) is one such model that has gained popularity due to its real-time performance and high accuracies. In this paper, we propose an accidents detection system using YOLOv3, a state-of- the- art version of YOLO. The proposed system is designed to detect three types of accidents, namely vehicle rollover, rear-end collision, and head-on collision. The system uses a pre-trained YOLOv3 model which is trained on the COCO dataset, which is then fine-tuned on a custom dataset of accident images. The proposed system achieves an average precision of 0.94 for vehicle rollover detection, 0.93 for rear-end collision detection, and 0.92 for head-on collision detection. The system also shows promising results in terms of real-time performance, with an avg processing time of 0.03 seconds per frame on an NVIDIA GeForce GTX 1080 Ti GPU. The proposed system can be also integrated into intelligent transportation systems which provides real-time accident detection and alerting, improving the safety of drivers and passengers on the road.

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 Keywords

Accident Detection, YOLOv3, Intelligent transportation systems, Deep Learning, Object Detection

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The shampoo sector is probably the largest unit among the hair care products. Shampoos are one of the cosmetic products used daily as the hair is a special and cherished feature of human being which beautifies the look of every individual. Day by day dependency of people is raising on herbal formulations not only for a chronic ailment but also for several acute problems. The assurance therapy with minimal side effects has been proven with ayurvedic formulations. In the scenario of changing food habits, stress, and dependent environment conditions, several hairs and skin disorders are encountered. In case of hair disorders like dandruff, hair fall, dull hair, split ends, etc, a proper selection of ayurvedic ingredients with the required amount, the dosage form can be formulated to fight against hair problems. This polyherbal shampoo was formulated by using natural ingredients like Aloe vera (Barbadensis miller), Neem leaves (Azadirachta indica), Reetha fruit (Sapindusmukurossi), Shikakai (Acacia concinna), Amla fruit (Emblica officinalis), Hibiscus leaves (Hibiscus rosa- sinensis) with proven efficacy. The combination of such ingredients has made it possible to secure highly effective dry powder shampoo. The formulation at laboratory scale was evaluated for several organoleptic properties, general powder characteristics and physicochemical evaluation to ensure the safety and efficacy .

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

herbal,shampoo,natural,no chemicals

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Background: Trapezitis is an inflammation of the trapezius muscle caused due to stress, tension, repetitive movements, bad posture, etc. causing severe muscle spasm and pain. According to a study, neck pain mean lifetime prevalence is of 67% to 87%. The Bowen Technique is a hands-on-therapy developed by Thomas Ambrose Bowen. This technique works on the soft connective tissues (fascia) of the body and resets and balances the autonomic nervous system and stimulates several intrafascial mechanoreceptors that affect muscle tonus and increase vagal tone. It can be used to treat several musculoskeletal or related neurological problems. Muscle Energy Technique is a type of osteopathic manipulation method that uses patient initiated voluntary muscle contraction of different intensities, in a precise direction and against a counterforce. It is used to improve musculoskeletal function, joint function, and improving pain. Objective: 1. Aims to find the effect of Muscle Energy Technique on pain assessed using Visual Analogue Scale in young adults with acute unilateral trapezitis. 2. Aims to find the effect of Muscle Energy Technique on disability assessed using Neck Disability Index in young adults with acute unilateral trapezitis. 3. Aims to find the effect of Bowen Technique on pain assessed using Visual Analogue Scale in young adults with acute unilateral trapezitis. 4. Aims to find the effect of Bowen Technique on disability assessed using Neck Disability Index in young adults with acute unilateral trapezitis. 5. Aims to compare the effect of Muscle Energy Technique Versus Bowen Technique on pain and disability assessed using Visual Analogue Scale and Neck Disability Index respectively in young adults with acute unilateral trapezitis. Method: Study begun with the presentation of synopsis to an ethical committee in PES MCOP. An approval was granted from the ethical committee. 60 subjects were selected on the basis of inclusion and exclusion criteria. Pre-treatment Neck Disability Index (NDI) and Visual Analogue Scale (VAS) scores were taken. 60 subjects were divided into two groups. On the basis of arrival of the subjects, all even numbers were allotted to Group-A - Muscle Energy Technique and all odd numbers were allotted to Group- B - Bowen Technique. Each group received 6 sessions (on alternate days) of the respective technique over 2 weeks. Post-treatment NDI and VAS scores were taken. Data was entered and statistically analyzed. Results: Statistical analysis of the pre and post treatment scores of NDI and VAS values of Group A and Group B revealed that there was significant effect of both the techniques but on comparing post treatment VAS & NDI scores of both the groups, subjects treated by Bowen Technique (Group B) showed more improvement than subjects treated with Muscle Energy Technique (Group A). Conclusion: This study concluded that Muscle Energy Technique (MET) and Bowen Technique both are effective on neck pain and neck disability, but on comparing, Bowen Technique (Group B ) has proved to be more effective than MET (Group A) in young adults in treating acute unilateral trapezitis.

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 Keywords

Muscle Energy Technique (MET), Bowen Technique, Young adults, Acute, Unilateral trapezitis, Pain, Neck Disability, Neck Disability Index (NDI), Visual Analogue Scale (VAS)

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The research aimed to produce an herbal facial scrub. The use of natural components in a facial scrub is a great way to promote healthy skin without exposing it to harsh chemicals. Coffee is indeed a great source of antioxidants and can provide exfoliating properties. Nutmeg is also known for its antibacterial properties, while masoor dal and rice flour can provide gentle exfoliation. The addition of glycerin can help to moisture and soothe the skin. it's important to note that before any skincare product is used, it should be patch tested on a small area of the to ensure that, there are no adverse reactions. Additionally, it's recommended to consult with a dermatologist before introducing any new skincare products into a routine, especially if there is any underlying skin condition. Overall, it's great to see research being done on natural and safe skincare alternatives.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Herbal scrub, coffee, Nutmeg, Masoor dal

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Creative Commons Attribution 4.0 and The Open Definition