Volume 12 | Issue 3 |

 Abstract

The purpose of this research is to study the impact of job stress on employee performance. The data was collected from the academic institutions in the Dehradun region, Uttarakhand, India. The purposive sampling was adopted for the purpose of the study. A sample size of 200 was undertaken in this study. After that, the consistency was measured initially by using Cronbach's alpha followed by a model fit check with the usage of confirmatory factor analysis, and subsequently, the causal relationship was checked by using the structural equation model. The results of the study indicated that all the independent variables are significantly related which indicates that there is an impact relatively on job performance.

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 Keywords

Stress, Job, Performance, Employee, Motivation, and Ambiguity

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The main objective of the study was to study the impact red mud waste lechate on a crop plant and to explore the possibility of replacing the rice crop by any other suitable crop. From the present study and the results observed from the study of other researchers of our laboratory indicated that the RMWE is deadly toxic and the rice crop should be replaced with green gram crop. It was observed that lechate leaking from the red mud pond flows as a small canal and contaminates the river. The lechate contaminates the ground water of the contaminated site and neighboring crop fields. The leached chemicals of red mud pond significantly affected the crop plants at sub-lethal concentrations. The intensity of impact increased with the increase in RMWE concentration. Seed germination and seedling establishment was severely affected in RMWE exposed seedlings. The leached chemicals / RMWE significantly affected the pigment contents of the exposed seedlings and altered the pigment ratio values of the seedlings. RMWE influenced the physiological activities and biomolecular content of the exposed crop seedlings thereby reducing the productivity of the crop plant. Significant increase in residual alumina content was noted in RMWE exposed seedlings. The residual alumina content in exposed root and shoot affected the studied parameters.

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Red mud waste, RMWE, crop plant, seed biology, pigment, GPP, biomolecules

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Electronic banking has experienced fiery growth and has altered traditional practices in banking. Now it has become synonym for wide variety of automated services of which one of the significant types of service is Internet banking. Various researchers have been organized to identify the factors affecting adoption of internet banking but the effectiveness of these factors may have reduced with time. So, it is indispensable to check the effectiveness of these factors. The objective of the study is to identify the various factors influencing the customers' adoption of internet banking in Punjab. Keeping in mind all the consideration given in various papers published internationally, a sample of more than 417 was found to be the most sufficient for the study. The study was conducted in Punjab state of the India. The data was collected from three districts viz. Amritsar, Jalandhar and Patiala. In the present study various standardized scale items were used. Among the different factors relative advantage, internet experience, trialibility, self-efficacy, government support and technical support were found significant predictors of internet banking adoption.

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Factors Influencing the Customers' Adoption of Internet Banking in Punjab

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The goal of the "Driver Distraction Detection" project is to use computer vision and machine learning techniques to create a reliable system for the real-time detection of distracted driving behavior. Road safety is significantly threatened by distracted driving, which results in a high number of mishaps worldwide. This concept uses the on-board cameras in cars to continuously monitor driver behavior to address this problem. To locate the driver's face within the camera frame and identify important facial landmarks, the system uses tracking and facial detection algorithms. The technology determines the driver's attention level and detects indications of distraction by eye gaze analysis, eye blinking patterns tracking, and head position estimate. Using labeled data, machine learning models are trained to categorize driver behavior into focused and distracted categories based on attributes that are retrieved. The successful implementation of the "Driver Distraction Detection" project holds the potential to significantly enhance road safety by reducing the prevalence of accidents caused by distracted driving. This project aligns with broader efforts to leverage technology to mitigate risks on the road and create safer driving environments for all road users.

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 Keywords

Real-Time Monitoring, Facial Landmark Detection, advanced eye gaze analysis, head pose estimation models, OpenCV, Computer Vision.

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Fast dissolving tablets (FDTs) have revolutionized the pharmaceutical industry as a promising drug delivery system due to their ability to improve patient compliance. FDTs are designed to dissolve rapidly in the oral cavity without the need for water, making them ideal for patients with swallowing difficulties or on-the-go medication administration. They offer a rapid onset of action due to absorption in the pre-gastric area, leading to improved bioavailability. FDTs have advantages such as ease of administration, accurate dosing, improved patient compliance, and rapid onset of action, but also have disadvantages such as taste-masking issues and stability concerns. FDTs are prepared using two technologies: conventional technology and patented technology. Conventional technology includes freeze-drying or lyophilization, sublimation, spray drying, tablet molding, mass extrusion, direct compression, cotton-candy process, nanotization, fast dissolving films, and melt granulation. These techniques can be evaluated using various parameters such as shape, size, thickness, diameter, weight variation, friability, wetting time, hardness of tablet, in vitro/vivo disintegration time, dissolution test, stability study, and drug content.

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Novel drug delivery system, Tablet, Fast disolving.

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The performance of India's equity-based Tier-1 National Pension Schemes (NPS) is assessed in this study for the years 2018 through 2022. It examines the market correlations, risk management, and financial returns of the best-performing pension fund managers using secondary data. The results show that returns have increased significantly for all listed managers, with LIC leading the way and HDFC, Kotak, UTI, and ICICI following. All managers had positive Sharpe ratios, which show returns over the risk-free rate in relation to expected risk, despite their differing levels of success. Based on its highest Treynor ratio, Kotak was the greatest performer in terms of risk-adjusted returns per unit of systematic risk. Nonetheless, weak positive correlations were found with the S&P 500 index, indicating a restricted degree of linkage with market movements. The research highlights the significance of continuous observation and recommends implementing effective tactics, such as risk optimization and diversification, that have been seen in top-performing managers. It also urges more study to overcome shortcomings and improve comprehension of equity-based pension plans in India. The present study provides significant perspectives for investors and policymakers, hence facilitating the progress of retirement planning and financial security in India.

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National Pension Schemes(NPS), Equity-based Tier-1, Scheme E, Pension Fund Managers (PFMs),Performance Evaluation, Risk management.

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ABSTRACT Background: Kati Graha is a vedanapradhanavyadhi. Patient feels pain and stiffness in the lumbar region, which hampers the normal activities of the person. It is one of the Nanatmajavatavayudhi mentioned by Acharya Sharangadhara. Acharya Shodala and Bhavaprakasha have mentioned Katigraha, as that characterized by Ruja (pain) and Graha (restricted movements) in Kati Pradesh, Hence it is considered as a separate disease in the classical text GadaNigraha. Agnikarma has been given special place in surgery by Sushruta and itis believed that disease treated by agnikarma never reoccurs. Agnikarma is considered as a boon for Sthanikavata and KaphajaVyadhi's and is highly recommended in the management of pain in wide spectrum of disorders. OBJECTIVES OF THE STUDY: To assess the effect of Agnikarma by lohashalaka in katigraha STUDY DESIGN: In present study a median age male patient (32 years) was diagnosed with katigraha and be selected for Agnikurma with Lohashalaka at under points in binduakruti in 4 sitting at interval of seven days with Snehana by Sahacharaditailam for sthanikaabhyanga and Lakshadiguggulu as internal medication. RESULT: Subjective and objective criteria's were statistically analyzed before and after treatment by applying standard statistical method.Agnikarma was found to be highly significant in all Subjective and Objective parameters in the study. CONCLUSION: Agnikarma provided better relief in Katishoola (pain in lower back) Therapeutic Heat of Agnikarma increases the blood circulation locally and flushes away the Pain producing substance. Agnikarma does the action at the level of muscle fibres causing relaxation of muscles thereby improving range of movement. No adverse reaction of therapy was found during and after the treatment. It was concluded that agnikarma therapies with lohashalaka have a definite role in relieving pain and stiffness in katigraha.

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 Keywords

Katigraha, Agnikarma, Low back pain, Lohashalaka

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One of the most popular drug delivery methods is transdermal because it has several benefits, including simplicity of medication application, self-administration, reduced drug metabolism, etc. Despite these benefits, the route still has many drawbacks. The transfer of medications to the systemic circulation through the skin, vagina, ocular, and rectal channels is known as topical drug delivery. Topical formulations are used to treat skin conditions. Although gels have many benefits, hydrophobic medication delivery is one of their main drawbacks. Therefore, an emulsion-based technique is being employed to get around this restriction so that even a hydrophobic medicinal moiety can benefit from gels with special qualities. Emulgel is the name assigned to the dosage form developed by combining gels and emulsions. Emulgel is the promising delivery system for hydrophobic medicines. Emulgel is an emulsion that is gelled in combination with gelling agents. The use of gels is emerging in both cosmetics and pharmaceuticals compared to other semi-solid formulations. Among the many advantages of gels is the major limitation of hydrophobic drug delivery. Therefore, an emulsion-based approach is used to overcome this limitation. Emulgel has several beneficial properties for dermatological use, including Thixotropic, fat-free, easy to apply, easy to remove, flexible, non-staining, long shelf life, transparent and attractive appearance. Therefore, emulgel can be used as a better local drug delivery system than current systems.

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 Keywords

Miconazole Nitrate, Emulgel, Gel, Emulsion, Antifungal Activity

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In recent decades, there has been a significant increase in instances of workplace sexual harassment and gender discrimination within professional environments. Workplace sexual harassment is a term used in legal contexts to refer to repeated and unwelcome sexual conduct that includes verbal, physical, psychological, and visual aspects. It is important to note that workplace sexual harassment often involves actions that can lead to humiliation, insult, and potential harm. The aforementioned conduct encompasses acts of gender harassment, unwelcome sexual attention, and sexual coercion. The spectrum of behaviors encompasses a variety of actions, including but not limited to making sexually suggestive remarks, sharing explicit imagery, and displaying hostility, all with the intention of devaluing the victims involved. The prevalence of harassment exhibits variation in research outcomes as a result of methodological disparities. Workplace sexual harassment is a prevalent issue that is often underreported due to concerns about potential retaliation. The present abstract underscores the significant issue of underreporting. In order to formulate comprehensive prevention and management strategies, it is imperative to have a thorough understanding of underlying factors such as power imbalances, stereotypes, cultural norms, and limited awareness. Proactive measures encompass the implementation of comprehensive anti- harassment policies, educational initiatives, and the cultivation of respectful and inclusive work environments. The practice of effective management encompasses several key elements, including but not limited to transparent reporting, maintaining confidentiality, conducting unbiased investigations, and providing support to victims. The importance of conducting research, promoting awareness, and fostering collaboration cannot be overstated when it comes to establishing secure and inclusive work environments. The occurrence of workplace sexual harassment has significant effects on various aspects of employment, including employee retention, absenteeism, workplace dynamics, and overall well-being. Discussions, which have historically faced societal disapproval, garnered worldwide attention following the emergence of the "MeToo"movement in 2017.The purpose of this research is to evaluate the consequences experienced by victims and the efficacy of current policies and legal provisions in the realm of employment.

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 Keywords

Workplace Sexual Harassment, Gender Discrimination, Measurement Tools, Reporting Attitudes, Prevention Strategies, Policies, Legal Regulations.

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 Abstract

Numerous human disorders, such as Alzheimer's, Parkinson's, and type 2 diabetes, are linked to amyloid proteins. Through the regulation of Amyloid protein deposition, some foods and vegetables can assist in the prevention of certain disorders in humans. Onions, kale, tomatoes, cabbage, and romaine lettuce are examples of vegetables. Additional food items such as walnuts, coffee, berries, fatty fish, turmeric, champagne, and cinnamon also assist with the administration of illnesses brought on by the buildup of Amyloids. This experiment uses a dataset that includes the aforementioned dietary items in an attempt to predict amyloid proteins. Neural Net Analysis and Gradient Boosting Classifier are utilized in this data analysis. Under the current system, people with amyloidosis see doctors after developing the illness. Preventing is always better than curing. By forecasting the Amyloids based on dietary habits, the suggested system helps avoid the disease. By enabling people to modify their eating habits, it prevents the occurrence of amyloidosis. The project's goal is to develop a tool for Prediction of Amyloid Proteins using Gradient Boosting Model.

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 Keywords

Amyloid Protein, Neural Net Analysis(NNA), Gradient Boosting Classifier(GBC), Prediction of Amyloid Protein, Dietary items.

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