Volume 12 | Issue 4

 Abstract

This paper analyze the impact of GST on the MSMEs. The paper specifically analyze the impact of GST on overall performance ,financial performance and the tax compliance of MSMEs. Through a structured questionnaire the survey was carried out, the reports are collected from owners, managers and others working in MSMEs. They were analyzed using descriptive inferential statistics. Further hypothesis test was done with the use of Chi-square test. The finding shows there is significant impact of GST on MSME's financial performance, overall performance and tax compliance. The changes made by the government to improve GST polices regarding MSMEs and suggestions to improve GST policies have been explained.

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 Keywords

MSME,GST ,policies

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Packaging is a method, that protects the product against the impacts of external gasses, humidity, microorganisms, and bacteria of any kind. In the pharmaceutical industry, packaging has been crucial since it protects the product's integrity in a variety of ways, including by offering display, protection, identity, and information. Pharmaceutical companies are the most innovative when it comes to packaging. The packaging's main objective is to protect and preserve drugs while also giving clients access to legal information and formulations. Containers and closures, which serve as the primary packing materials, are made from a variety of glass, metal, and plastic materials. Therefore, we must pick the components carefully to avoid affecting the product's therapeutic effect. In this review article, we look into the materials, container kinds, and recent packaging innovations in the pharmaceutical sector.

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Pharmaceutical packaging, Materials for packaging, Closures, Child-resistant packaging.

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The study deals with the impact of the effectiveness of overall satisfaction level of patients on the SERVQUAL dimensions such as (RATER) Reliability, Assurance, Tangibility, Empathy and Responsiveness. The study relies on the primary data, collected from 347 respondents respectively and from the people who visit the private hospitals in Kumbakonam area. Using SERVPERF, can help the hospital target its audience and obtain feedback on the level of the satisfaction of their carriers. To conclude, the SERVPERF system is really useful in private hospitals because it helps them to not only evaluates the level of care that is offered there, but also to increase it. The collected data were processed using SPSS as well as Smart PLS Software using statistical testing such as chi-square, regression analysis, percentage analysis, correlation analysis, one-way ANOVA, and Factor analysis. The results indicate that the factor variables like reliability, assurance, tangibility, empathy and responsiveness have a great positive internal connection with the happiness that the patients of the hospitals are experiencing.

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 Keywords

Patient's satisfaction, Service delivery, tangibility, empathy, assurance, reliability, responsiveness, Patient's perception, Service performance, health and service quality.

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Among all the renewable energy sources, the Doubly Fed Induction Generator (DFIG) based wind turbine generator system with variable-pitch control, variable speed scheme is most popular in power industry. This system can be operated either in grid connected or standalone mode. For study of complete WECS, i.e. the modeling, control of DFIG based WECS is required in both operating modes during steady state and dynamic state to operate it for better performance. In this paper, a DFIG-based wind turbine generator model connected to a constant source voltage and constant frequency grid is modelled in the MATLAB/SIMULINK and its corresponding generator and turbine control structure is implemented. Control structure of WECS is explained. The steady state behavior of the overall wind energy conversion system is studied. In this paper rotor side converter (RSC) and grid side converter (GSC) are controlled by stator voltage oriented control with PI controller.

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DFIG, WECS, SVOC, wind turbine, active power, reactive power, decoupled control

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This paper aims to tackle the challenge of predicting stock market trends using artificial intelligence (AI) strategies. The prediction process involves two primary analyses: technical and fundamental. In the technical analysis, regression machine learning (ML) algorithms are utilized to forecast the stock price trend based on historical price data by the end of a business day. On the other hand, fundamental analysis employs classification ML algorithms to assess public sentiment derived from news and social media. For the technical analysis, historical price data is extracted from Yahoo Finance, while fundamental analysis involves the scrutiny of public tweets on Twitter related to the stock market to gauge the impact of sentiments on market forecasts. The findings indicate a median performance, suggesting that, given the current state of AI technology, it is premature to assert that AI can outperform the stock markets.

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Machine learning, Python, time series prediction, technical analysis, sentiment embedding, financial market.

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Creative Commons Attribution 4.0 and The Open Definition

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The present study has been undertaken with the aim to formulate and evaluate the antiinflammatory gel containing Achyranthes aspera leaves extract.The gel formulation was designed by using water extract of leaves of Achyranthes aspera. Topical anti-inflammatory activity of gel was also evaluated. The gel was prepared by using Carbopol 940 (1% w/v), Achyranthes aspera extract propylene glycol, methyl parabene, propyl parabene, tri-ethanolamine, Lavender oil and required amount of distilled water. The prepared gels were evaluated for physical appearance, pH, and spread ability, skin irritation to observe toxicity or side effects and also for anti-inflammatory activity.

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Achyranthes aspera extract, Carbapol 934, Herbal gel Aqaous extract.

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Driver fatigue remains a significant cause of road accidents globally, necessitating the development of effective drowsiness detection systems to enhance road safety. This project presents a prototype for a non-intrusive real-time drowsiness detection system utilizing an Arduino Nano board and infrared (IR) sensor technology. The system focuses on monitoring the driver's eye movements, particularly eye blinks, as indicators of drowsiness. By analyzing the frequency, duration, and intensity of eye blinks, the system triggers an alarm and sends warnings to the driver if prolonged eyelid closure is detected, signaling potential drowsiness. Leveraging computer vision techniques, including facial landmark detection and eye aspect ratio calculation, the system provides a cost-effective and efficient solution for mitigating the risks associated with driver fatigue. Validation through real-world testing and integration with existing driver assistance systems further demonstrates the system's potential to contribute to overall road safety and accident prevention.

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Eye Detection, IR Sensor, Arduino Nano, Alarm, Eye blinking

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Creative Commons Attribution 4.0 and The Open Definition

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Now in Modern days because of global warming and climate changes various challenges were faced in coal mines. In response to the urgent need for mitigating environmental challenges and enhancing operational efficiency in coal mines, the integration of advanced technologies becomes imperative. This project proposes an innovative approach by implementing a Smart Coal Mine System using IoT principles and MQTT protocol, centred around a Raspberry Pi controller. The system is designed to intelligently monitor and manage critical parameters within the underground mine environment, including temperature, humidity, gas levels and visibility in mines. By employing low-power and cost-effective Raspberry Pi, coupled with state-of-the-art sensors, the project aims to provide real-time data on the mine's climate conditions. In the event of an anomaly, such as a sudden increase in temperature, humidity, gas levels, and less visibility the system triggers a response mechanism. As a proactive measure, if there is any sudden increase in any of those sensor values along with the data log it is sent to the server's mail of the subscriber.

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Internet of Things (IOT), Message Queuing Telemetry Transport(MQTT),Sensors,Light Detecting Resistor(LDR).

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

jilla sirmor ke giripar chetra ke pramukh tyoharo ka varnan

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jilla sirmor ke giripar chetra ke pramukh tyoharo ka varnan

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Creative Commons Attribution 4.0 and The Open Definition

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This study delves into the intricate relationship between risk perception and towards effectiveness of investments products within the banking sector, focusing on the behavioral dynamics exhibited by bank employees. Utilizing a mixed-methods approach, the research explores employees' cognitive processes, attitudes, and decision-making strategies regarding risk. Key themes include risk awareness, risk tolerance, risk assessment, and risk mitigation techniques. Insights gleaned from this investigation contribute to a deeper understanding of how banks can effectively manage risks by aligning organizational strategies with employee behaviors.

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Risk Perception, Risk Management, Bank Employees Patterns, Cognitive Processes, Attitudes, Decision-making, Risk Awareness, Risk Tolerance, Risk Assessment, Risk Mitigation, Organizational Strategy

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This research paper presents the development of a comprehensive application aimed at fostering seamless communication and collaboration among farmers, vendors, and administrators in the agricultural sector. The application offers distinct login functionalities for administrators, vendors, and farmers, facilitating efficient management of machine requests, usage, and returns. Leveraging FlutterFlow and Firebase, the platform integrates features for profile management, machine cataloging, and request processing. With Google Translation API integration, language barriers are addressed, enhancing accessibility. The system addresses critical challenges including limited access to sustainable farming practices and ineffective communication channels, offering a solution to promote waste management and equip farmers with essential machinery. Through a user-friendly interface, the application seeks to revolutionize agricultural practices, promoting sustainability and enhancing productivity.

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Agriculture, Farmer, Vendor, Admin, Agro-waste, Software application, Fullterflow, Firebase, API.

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Composite materials play a vital role in many industrial applications. Researchers are working on fabrication of new composite materials worldwide to enhance the applicability of these materials. In view of this the mechanical performance of the composite material is essential. The objective of the present work is to analyze the effect of silica & graphite powders content on the mechanical behavior of woven E-glass 350gm-Glass fiber reinforced. Five different types of composites are fabricated using 0, 4, 8, 12&16%wt of silica & graphite powders with woven-E glass fiber and polyester isoresin. The polyester isoresin, catalyst and accelerator are mixed in 1:2 weight ratio in polyester matrix with silica & graphite. The aim of the project is to investigate the effect of silica & graphite powders with woven e-glass 350gm for making the composite material stronger and tougher. The investigation is carried out by mixing different weight percentages of the silica & graphite powders with the polyester isoresin and preparing individual samples. After woven-e glass preparation, the materials were properly mixed using the hand-lay techniques and different specimens were prepared with different compositions of the silica & graphite powders. After all the samples were prepared, mechanical tests were carried out on the samples to ascertain the changes observed due to the composition of silica & graphite powders. The obtained results of various samples specimens were compared and graphically charted to characterize the new composites material.

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Woven E-Glass 350gm; Polyester Isoresin; silica & graphite powders; Hand- Lay technique; Catalyst & Accelerator

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Abstract Human trafficking, a crime that involves deceit, coercion, and exploitation, poses a significant threat to global civilization. The process of globalization, deeply embedded in the world economy, has amplified this threat. Globalization, characterized by increased integration, cross-border transactions, technological advancements, and investment flows, has inadvertently fueled the growth of human trafficking. This is particularly evident in the widening socio-economic disparities it creates, which traffickers exploit for their gain. The globalized economy has facilitated the expansion of human trafficking networks, especially in exploiting women and children. The rise of social networking platforms and advanced applications has made it easier for traffickers to engage in sexual exploitation on a global scale. Furthermore, improvements in transportation and communication have led to the establishment of red-light areas along highways, often disguised as small restaurants, further perpetuating this illicit trade. Despite these developments, much of the exploitation remains hidden due to the sophisticated operations of traffickers. This paper aims to analyze the impact of globalization on human trafficking for sexual exploitation in India. By examining the demand and supply dynamics in the global trafficking market, the paper identifies the factors contributing to both demand and supply chains. Additionally, it sheds light on the inevitable consequences of this nefarious market, emphasizing the urgent need for action and intervention.

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Globalization, human trafficking, organized crime, sexual exploitation, demand and supply

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 Abstract

Introduction: Endometriosis is the presence of endometrial- like tissue outside the uterine cavity, which most commonly affects peritoneal surfaces, ovaries and uterine ligaments. Even it is quite rare, endometriosis may affect the vulva, vagina, rectovaginal septum or perineal region, generally secondary to obstetric or surgical trauma. In this case report, we present a patient with perineal endometriosis in an episiotomy scar. Case report: A 37 years-old women, with a history of three spontaneous miscarriages and an episiotomy after vaginal delivery. presented with a painful mass in episiotomy scar, six months after normal, not complicated vaginal delivery. Physical examination found a firm nodule in the episiotomy scar. Pelvic MRI revealed a suspicious right perineal lesion extending to the ana margin and infiltrating the sphincter. Surgical excision of the mass was performed. the specimen was sent for histopathological examination. The final diagnosis was that of perineal endometriosis. Conclusion: Perineal endometriosis remains a rare condition, it should be considered in all patients with an anterior vaginal delivery and a painful perineal mass during menstrual cycle, a wide excision of the affected tissue remaining the best option for a permanent cure.

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Endometriosis, scar episiotomy, case report, perineal mass, surgical excision.

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 Abstract

This research is based on special reference to the provisions of Hindu and Muslim law, and provides a historical perspective of the women's status related to exclusive women's status from Vedic era to the present. This research also discusses the current constitutional provisions that contain gender equality mandates. In addition, it provides an overview of women's property rights under, and briefly outlines various legislative and social reforms introduced from time to time to improve her condition. Deals with the inheritance rights of Hindu women. The daughter's ownership status under Indian law and property rights of widows under Hindu law, property rights of widows under Hindu law. This research also deals with the property rights of Muslim women. Discusses the rights of women under Hindu and Muslim law, followed by the provisions of the Criminal Procedure Law i.e. sec 125. The Indian Constitution is more necessary to property than retaining the outdated, irrational, arbitrary and discriminatory personal laws that devalue Indian women's status or deprive them of their legal rights. Also mentioned some humble suggestions to eliminate differences.

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Right to property, Stridhan, Dowry, Maintenance Rights

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Smart Bot is an innovative e-commerce machine learning system that combines powerful credit card fraud detection capabilities and an intelligent chat bot. This advanced platform leverages machine learning algorithms to examine and spot fraudulent activity trends in real-time, providing e-commerce businesses with robust protection against credit card fraud. Through the use of sophisticated data analysis and pattern recognition techniques, Smart Bot is able to accurately detect suspicious transactions, preventing potential financial losses and ensuring a safe and secure online shopping experience for both merchants and customers. Additionally, Smart Bot comes equipped with a conversational chatbot that enhances the customer service experience by providing quick and accurate responses to inquiries and support requests. It utilizes natural language processing algorithms to understand and interpret customer messages, delivering personalized and relevant assistance, product recommendations, and order tracking updates. With Smart Bot, e-commerce businesses can effectively combat credit card fraud while simultaneously improving customer engagement and satisfaction. This innovative solution offers a comprehensive and reliable fraud detection system combined with a user-friendly chat-bot interface, empowering businesses to protect their financial interests and provide an exceptional customer experience. detection of credit card fraud, machine learning, e-commerce, chat bot, pattern recognition, data analysis, customer service, natural language processing, online shopping, fraud prevention.

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 Keywords

Smart Bot, E-commerce, Machine learning, Credit card fraud detection, Chat bot, Pattern recognition, Data analysis, Customer service, Natural language processing, Online shopping, Fraud prevention Fraud detection, Customer engagement, User-friendly interface, Personalized assistance

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Creative Commons Attribution 4.0 and The Open Definition

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The present study aims to find prevalence of loneliness among college going students of three districts, Barnala, Sangrur and Patiala of Punjab. The study was delimited to 200 college going students (B.A./ B.Sc First Year) of Punjab. Data was collected by using UCLA Loneliness Scale (Version 3)- Russel (1996). Percentage analysis was used to check the percentage of degree of loneliness among college going students. To find gender differences in loneliness among college going students, t-value was calculated. Results of the study indicated that 39% of college going students have average level of loneliness and about 32% of college going students have high level of loneliness. 29% of college going students have been found having very high level of loneliness. Further significant gender differences in loneliness among college going students were also found. Female college going students are found to be more alone than male college going students.

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 Keywords

Loneliness, college going students

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This study investigates how Odisha's undergraduate students see Bachelor of Education (B.Ed.) degrees and what kind of income they expect to receive. Its goal is to comprehend how undergraduates perceive the worth of a B.Ed. and how these views affect their expectations for compensation and career choices. With 150 undergraduate participants from a range of academic streams (science, arts, and commerce) in both urban and rural Odisha, the study uses a survey approach. The participants are chosen by cluster sampling. The research findings will offer insightful information about Odisha's undergraduates' desired careers and the part B.Ed. degrees play in their decision-making. Additionally, it can guide the creation of educational policies and programs related to teacher education.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

VALUE, EXPECTATION, B. ED, UNDERGRADUATES

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It is an IOT based paper where designed and implemented to Fire Detection and Alerting System.Fire Detection and Alerting System refers to Intelligent Fire Detection and Alerting System.It aims to develop the secure society without grow any harmful effects.This system incorporates advanced sensors such as fire sensors, DHT 11 sensors, and Passive Infrared (PIR) sensors, along with a Wi-Fi module for data transmission. The collected data is processed to detect potential fire incidents, and alerts are sent to a mobile application for real-time notification. Additionally, a local LCD display provides on-site visual alerts and a buzzer is used to sound purpose.

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 Keywords

ArduinoUNO,WiFi Module(Esp8266),DHT 11 Sensor,Fire Sensor,PIR sensor,LCD,Buzzer

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 Abstract

The oxidative decarboxylation of phenylsulfinylacetic acid (PSAA) and substituted PSAAs by H2O2 in the presence of oxovanadium(IV)- salophen complex has been studied spectrophotometrically in 100% acetonitrile medium under the influence of ligand oxides like pyridine N-oxide (PyO), picoline N-Oxide (PicNO) and triphenylphosphine oxide (TPPO). Kinetic results reveal that the reaction rate is strongly retarded by all the three ligand oxides. The reaction involving hydroperoxo species and an electrophilic attack of sulfur atom of PSAA on the nucleophilic peroxo oxygen of the vanadium complex is proposed as the mechanistic pathway. The linear Yukawa-Tsuno plot demonstrates that the ground state stabilization of PSAAs through resonance interaction is the cause for the observed non linearity in the Hammett plot

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

oxovanadium(IV)-salophen, phenylsulfinylacetic acid, non-linear Hammett, oxidative decarboxylation, nitrogen base

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Creative Commons Attribution 4.0 and The Open Definition