Volume 12 | Issue 5 |

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TUMORS , BEE VENOM , ANTICANCER

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mucoadhesive nanoemulsion,Migrane, intranasal,NDDS, Ace-Inhibitor

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Corporate Criminal Liability (CCL) jurisprudence has become increasingly significant in India amidst rapid economic growth and globalization. This research paper delves into the evolution of CCL jurisprudence in India, examining pivotal judicial decisions, legislative provisions, enforcement challenges, and recent developments. The analysis aims to provide a comprehensive understanding of the current state of CCL, identify shortcomings in existing legal frameworks, and propose policy recommendations to enhance corporate accountability. The research explores landmark cases such as Standard Chartered v. Directorate of Enforcement and Aneeta Hada v. M/s Godfather Travels & Tours Private Limited, which have shaped the trajectory of CCL jurisprudence in India. These cases elucidate the principles of corporate liability and address the complexities surrounding vicarious liability in the absence of explicit statutory provisions. However, challenges persist in establishing mens rea and attributing corporate misconduct to individual directors. The effectiveness of current sentencing regimes, predominantly reliant on fines, is critically evaluated. Despite efforts to impose substantial fines, their deterrent effect on corporate misconduct remains dubious, especially for large corporations capable of absorbing financial penalties. Enforcement challenges, including spillover effects and the burden on government resources, underscore the imperative for alternative sentencing mechanisms. Identified gaps in the legal framework reveal deficiencies in addressing corporate criminal intent and holding corporate directors accountable for organizational wrongdoing. The absence of innovative sentencing options, regulatory fragmentation, and inadequate legislative provisions pose significant hurdles to prosecuting corporate offenders effectively. To address these challenges and enhance corporate accountability, policymakers are urged to consider a multifaceted approach. Proposed policy recommendations include the introduction of innovative sentencing options beyond fines, consolidation of regulatory oversight, legislative reforms to clarify corporate criminal intent, and capacity building for law enforcement agencies and judicial officers. In conclusion, while India has made strides in recognizing corporate accountability, there remains a pressing need to strengthen legal frameworks for CCL. By implementing the proposed policy recommendations and fostering collaboration among stakeholders, India can fortify its stance on corporate accountability and align with global best practices in combating corporate misconduct.

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Corporate Criminal Liability, Jurisprudence, Legal Framework, Enforcement Challenges, Policy Recommendations

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Herbal medicines represent one of the most important fields of traditional medicine all over the world. Herbal medicines are being used by about 80% of the world population primarily in the developing countries for primary health care. Tinospora cordifolia is a popular medicinal plant which is used in several traditional medicines to cure various diseases such as jaundice, rheumatism, urinary disorder, skin diseases, diabetes, anemia, inflammation, allergic condition, anti-periodic, radio protective properties, etc. In the present study an attempt has been made to evaluate the phytochemical constituents (phenols, tannins, glycosides, steroids, alkaloids, flavonoids, terpenoids, amino acids, protein and carbohydrates) present in Tinospora cordifolia using standard methods. Separation of plant pigments and secondary metabolites was done using the quantitative methods such as TLC and HPTLC. Antioxidant, Anti diabetic, anti-inflammatory activity was checked using different solvents.

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Tinospora cordifolia, phytoconstituents, secondary metabolites, TLC, HPTLC, anti- diabetic, anti- inflammatory.

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Across the globe, mental health care is a vital component of healthcare. Millions of people worldwide are impacted by mental health conditions like schizophrenia, bipolar disorder, depression, anxiety, and many of these patients do not receive the proper care for many of the causes. By providing patients with individualized, effective and easily accessible care, artificial intelligence holds the potential to completely transform the mental health care industry. In addition to offering a platform for psychotherapy interventions, AI tools can accurately diagnose patients and recommend courses of treatment. This article examines the advantages, drawbacks, and potential future research areas of artificial intelligence in mental health treatment.

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Healthcare, mental health care, artificial intelligence(AI),machine learning(ML), mental wellness, challenges

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An electricity monitoring and power off system that allows users to check the electricity theft and bill payments monitoring. The project provides auto bill generation and bill monitoring and make power off using IOT. The main scope of this project is to create smart IOT based energy meter which is used track energy consumption via WIFI module. We can get data of the energy consumption on time requirement basis consumption basis. Some of the issues of the existing systems are Every time we cannot check the meter and figure out the energy consumption manually.In our project consumption of electricity can be monitored remotely. It could generate more accurate bills. We can also control the load (on/off) by sending a message also the bill will be generated after load is turned off.

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Direct Current, Power supply, Global System for Mobile communication ,Internet Of Things, Integrated Circuit ,Liquid Crystal Display, Etc.

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This study explores how Natural Language Processing (NLP) is transforming the healthcare industry, with a particular emphasis on clinical text mining. An ever-growing corpus of unstructured medical texts and the widespread use of electronic health records, also known as EHRs, have made it imperative to have automated techniques for extracting insightful data. The study examines the opportunities and difficulties brought about by healthcare text, taking into account the subtleties of medical terminology, privacy issues, and the moral ramifications of algorithmic decision-making. In showcasing the wider applications of NLP in healthcare, the study ends by imagining a day when complex language models will be essential in transforming the processing, interpretation, and use of medical data for the benefit of both patients and healthcare professionals.

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Natural Language Processing, Healthcare, EHR, Electronics Health Record

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Abstract- Women in the ancient world history were more powerful and equally potent as men especially in Indian history. The chaste woman at that time was not touched by anyone except her husband; they were holy women, the holiness in them itself is a power and they were born empowered. The creator God though is almighty but has not reserved any power against the will and decision made by a chaste woman only to give respect them and not to overtake the powers as given by the God to those chaste woman which explains that the God also gives respect to the chaste women. The first ever powerful and daring woman in the history is Goddess Sati the wife of God Shiba who fought against the injustice and disrespect given to her husband God Shiba due to non-invitation by her father Daksa Prajapati who arranged a Yagyan, the holy fire; so she couldn't tolerated this and protested against the injustice to her husband as given by his father but couldn't got any positive response towards invitation to her husband which was a serious affront to the couple Shiva-Sati, and instead of facing so many resistances she strongly decided and burnt herself to death by jumping into the holy Fire that was organised by his father, reveals that she is the first ever woman who fought against the injustice as she was truely empowered with her innate education which made her distinct and unique from others; her dedication to her husband is unmatched and she became the forerunner in chastity. There were so many chaste women in India who were illustrious women for their self education making them immortal in the history. The woman who will be more educated will be more powerful and will have develop more decision making capacity and strong like the Goddess Sati who is crowned the first empowered woman in the history. Women education's importance was deeply felt by Pandit Jawaharlal Neheru and he stated that, "If you educate a man you educate an individual, however, if you educate a woman you educate a whole family. Women empowered means mother India empowered". Empowered with all sectors is though necessary but first of all empowered with good health is most important because women must have to be healthy to save their money, time and prevent any physical disability, to live a long and healthy life, and to reduce premature death of the family and ultimately of the nation and world; then to be educated to that minimum level so that women can earn some money to live a better and healthy and disease free life, to lengthen the life which is one of the pillars of empowerig women. Empowering women Educationally, socially, economically, politically and legally is a strenuous work and not so easy to change the culture of disregard for women that extremely deep-rooted in the Indian society. From the very beginning of time the human race needed empowered women to build powerful, intelligent, healthy offsprings, but due to male dominance the process is very slow but still ongoing. Education has a key role in living a healthy, hygienic life with dignity and honour and decreased mortality in womens' society, Exploring Hidden potential in them we all irrespective of gender should give respect to the women.

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Chaste Woman, Empowered Woman, Education, Empowerment

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This exploration plans to research the connection between the ability to understand anyone on a profound level and Unknown dialect Nervousness among students of unknown dialects. An example size of 100 members was taken which comprised of Japanese students (N=50) and Spanish students (N=50) who had a place with the age gathering of 18-25 years. The comfort test was finished alongside willful reaction inspecting. Pearson's item second connection and autonomous example t-test were utilized for factual investigation of the gathered information involving Measurable Bundle for Sociologies (SPSS) to track down the outcomes. The factual examination of the information reasoned that there is a critical pessimistic connection is tween's Capacity to understand people on a deeper level and Unknown dialect Tension among unknown dialect students in India. In any case, no huge contrast was found between the unknown dialect nervousness levels of Spanish and Japanese students. Simultaneously, no huge relationship could be seen between the ability to understand individuals at their core and unknown dialect nervousness levels of Spanish students and Japanese students independently.

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Emotional Intelligence, Foreign Language Anxiety

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In the thriving realm of e-commerce and digital transactions, effective price negotiation stands as a cornerstone for both consumers and businesses. This project embarks on a journey to redefine price negotiation dynamics by harnessing the power of Natural Language Processing (NLP) models within chatbot frameworks. Our aim is to revolutionize user interactions and streamline negotiation processes through the innovative integration of NLP techniques. These models facilitate the analysis of user inputs, interpretation of negotiation contexts, and formulation of optimal bargaining tactics, thereby enhancing user experiences and fostering mutually beneficial outcomes. Through iterative refinement utilizing performance metrics and user feedback, we strive to elevate the efficacy and efficiency of price negotiation interactions, ultimately empowering users and businesses in their decision-making processes. This project exemplifies the transformative potential of NLP-based chatbots in reshaping price negotiation dynamics within digital marketplaces. By bridging the gap between human-like negotiation dynamics and automated conversational agents, we pave the way for enhanced user experiences, streamlined transactions, and empowered consumer decision-making in the competitive landscape of e-commerce.

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Natural Language Processing, Stochastic Gradient Descent (SGD), Price Negotiation, E-Commerce Negotiation, Chatbot.

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