Volume 12 | Issue 6

 Abstract

Abstract- irritable bowel syndrome is a most commonly diagnosed functional bowel disorder with high population prevalence worldwide. Patients with this disorder due to its periodical variation of symptoms from mild to severe are seen to have difficulty in day-to-day activities leading to increased work absenteeism and decreased work productivity thus affecting the overall quality of life of a person. This article aims to seek the scope of homoeopathy in the management of IBS. This article includes the prescription of specific remedy for characteristic, peculiar, striking symptoms of IBS.

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Rome IV criteria, homoeopathy, irritable bowel syndrome, FODMAP.

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This research investigates the comparative effectiveness of pharmaceutical marketing strategies for metformin in the antidiabetic drug market, particularly focusing on generic versus branding approaches. The study explores how factors such as cost-effectiveness, accessibility, and perceptions of quality and efficacy influence consumer preferences in choosing between generic and branded versions of metformin. Through a comprehensive literature review, various aspects are examined, including branding and generic strategies, dynamic brand choice processes, competition in pharmaceutical pricing, and safety and efficacy comparisons between generic and branded metformin. The research methodology involves conducting a survey among physicians, patients, and pharmacists in the Vidarbha region of India to gather insights into their preferences and perceptions regarding generic and branded metformin. The findings from the survey indicate a preference for branded medicine among physicians and patients, with concerns about the efficacy and safety of generics. However, there is a lack of awareness and misconceptions about generic medicines among the surveyed population. These findings underscore the need for increased awareness campaigns to promote the use of generic drugs, emphasizing their safety and efficacy to improve accessibility and affordability in healthcare.

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Pharmaceutical marketing, Generic vs. branded, Physician preferences, Patient preferences, Pharmacists' perspectives, Generic drug misconceptions, Pricing strategies, Promotion strategies

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Food plays a crucial role in the growth and development of the body, essential for human survival by providing necessary nutrition. Fast food, being convenient and ready-to-eat, is widely consumed. The primary reason for society's preference for fast food is the fast-paced nature of modern life. However, this convenience comes with significant negative impacts on both physical and mental health. Nutritionally, fast food is deficient, containing high levels of unhealthy substances such as sugar, salt, saturated or trans fats, and various processed preservatives. The body's reaction to the lack of essential nutrients manifests in both short-term and long-term effects. Short-term impacts include fluctuations in blood sugar levels and blood pressure, while long-term consumption can lead to digestive issues, weakened immunity, inflammation, heart problems, respiratory issues, and more. To mitigate these effects, it is important to shift towards a healthy diet and ensure adequate hydration. Replacing meals with nutritious options like fruits, low-calorie foods, fresh juices, and low-fat dairy can help in this transition. Research on this issue has been ongoing for many years, particularly in the United States and other countries. The research primarily utilizes secondary data and gathers primary data through questionnaires. The focus is on adolescents and middle-aged individuals, who are the highest consumers of fast food. This paper emphasizes the importance of raising awareness about healthy eating habits to avoid the detrimental effects of fast food on physical and mental health.

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Fast food, Human health, Lifestyle, and Healthy eating habits.

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The article delves into the rhythmic intricacies of the Khayal style of Agra Gharana. It explores how the Gharana's unique approach to Laya and Taal contributes to the aesthetic experience of its vocal performances. Emphasizing the significance of rhythm in Hindustani classical music, the article highlights the role of rhythmic structures, Tabla accompaniment, and improvisational techniques in shaping the distinctive style of the Agra Gharana. Drawing insights from renowned musicians and scholars, it underscores the importance of understanding Laya, Bols, and Taal in appreciating the beauty and depth of Agra Gharana's musical repertoire.

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Agra Gharana, Khayal, Laya, Taal, Theka, Aesthetics, Style, Pedagogy, Analysis

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Suicide remains a significant public health issue in India, with a high incidence rate that necessitates effective investigative and preventive strategies. The forensic application of psychology provides a crucial intersection between psychological expertise and the legal system, aiding in the analysis, understanding, and adjudication of suicide cases. This paper explores the role of forensic psychologists in investigating suicides, focusing on their contribution to interpreting psychological evidence, distinguishing between suicide and homicide, and performing psychological autopsies. Challenges such as lack of trained professionals, cultural stigmatization, and inadequate resources are also discussed. The study emphasizes the necessity of integrating psychological evaluations in forensic procedures to not only discern the causes and contexts of suicides but also to enhance the judicial processes involved. Through a comprehensive review and analysis, this paper highlights how forensic psychology can significantly alter the landscape of suicide investigations in India, providing deeper insights and more effective legal resolutions.

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Forensic Psychology, homicide, Legal system, suicide, investigation.

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This paper provides an in-depth analysis of the works of Charles Dickens, focusing on his narrative techniques, thematic explorations, and character development. Dickens, a stalwart of Victorian literature, utilized his novels to critique social injustices, portray vivid characters, and explore the complexities of human nature. This study examines how Dickens' novels reflect the socio-economic conditions of the 19th century and their enduring relevance in contemporary literature.

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A Detailed Study of Charles Dickens' Novels

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The widespread adoption of intelligent virtual assistants has greatly enriched our daily lives, fundamentally changing how we interact with technology. These advanced programs, powered by artificial intelligence and natural language processing, emulate human interaction to perform a range of tasks across different devices. From managing schedules to conducting research and even assisting with medical prescriptions, they cater to various user needs efficiently. By utilizing voice commands and tools like OpenAI's ChatGPT, these assistants promptly respond to user inquiries and conduct searches across multiple platforms like Wikipedia, YouTube, and Google, including weather forecasts. Their integration into smart home and automotive systems simplifies voice-controlled operations, while they also play vital roles in customer service and healthcare, offering immediate support and aiding medical professionals in patient care and diagnosis. With their limitless potential, intelligent virtual assistants continue to redefine our everyday experiences, becoming indispensable tools for individuals and businesses by offering personalized assistance and streamlining organizational processes

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AI , Assistant , Virtual, Virtual Assistant

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 Abstract

The project is based on a Web Application that can be used by customer for menu booking of their choice in the hotel as per their convenience. In manual system, everything depends upon waiter & booking diary and there is no automated system for keeping the records. The objective is to build a system for menu booking to assist workers with solving basic issues with their manual system. Today's generation encourages high tech services especially over the Internet. Hence the project is developed proficiently to help hotel owners automate their business operations. The menu will be available in the customer's seating area under the suggested system. Menu will be available in display of the screen/Tablet. The customers do not have to wait for the servants to take their order. For customers, this is a highly convenient and easy technique. Wireless connectivity will be used to send the placed order to the chef's display. This system gives customers a personalized service experience where they can choose what they want, when they want it from dining to ordering to payment and feedback. This system increases quality and speed of service. This system also increases attraction of place for many customers.

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Web Application, menu booking, high tech services, automated system, wireless connectivity.

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Gymnanthemum amygdalinum (Delile) Sch.Bip. ex Walp. (Asteraceae), better known by its former name Vernonia amygdalina Delile, is a small shrub with wide medicinal properties. The aim of this work is to screen the extracts of Gymnanthemum amygdalinum leaves for phytochemical and physiochemical composition mainly to establish its earlier claimed usage as traditional and modern medicine. The preliminary phytochemical analysis of ethanol and petroleum ether extracts showed the presence of tannins, flavonoids, alkaloids, terpenoids, and carbohydrates. The phytochemical compounds especially alkaloids, flavonoids, tannins, saponins, glycosides and carbohydrates were detected in both pet ether and ethanol extracts of leaves. Quantitative determination of the phytochemical compounds found in the barks and leaves of the tree revealed that the extracts had significantly higher values of alkaloids, flavonoids and glycosides than barks. Saponins and anthraquinnes were found to be significantly more in barks than in leaves. The total ash, water soluble, acid insoluble and sulphated ash in leaves were measured to be 12.14%, 5.53%, 2.04% and 14.02% respectively. The results obtained were remarkable and the plant can be further explored in the treatment of oxidative stress and other related disorders.

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Gymnanthemum amygdalinum, phytochemical composition, physiochemical composition, quantitative analysis, Alkaloids, Terpenoids and Flavonoids

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This study has been undertaken to investigate the system on developing an AI-powered exam proctoring system designed to ensure the integrity of online exams. The system uses artificial intelligence to monitor students during their tests, detecting any signs of cheating or suspicious behavior. It employs facial recognition to confirm student identities, tracks eye movements, and analyzes background noise and movements. It can recognize suspicious behaviors, such as looking away from the screen frequently, talking, or having other people in the background. By using AI, the system provides a reliable and scalable way to ensure exam integrity. This automated approach aims to provide a secure and fair testing environment, reducing the need for human proctors and making online exams more reliable and accessible. The project also takes privacy concerns very seriously by implementing strong data security measures and strictly following all relevant laws and regulations. It ensures that personal information is protected at all times, giving both students and institutions peace of mind that their data is safe and secure. This approach can enhance the credibility of online assessments and support the growing trend of remote learning.

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object detection, face recognition, voice detection, head pose model

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This project delves into the innovative domain of image synthesis using state-of-the-art techniques in artificial intelligence. By harnessing the power of the Diffusers library, we embark on a journey to create vivid and lifelike images from textual descriptions. Through the utilization of DiffusionPipeline, a pre-trained model adept at understanding and generating images, we explore the seamless integration of natural language prompts with image synthesis algorithms. Leveraging cutting-edge technologies such as transformers and accelerated computing, our project aims to push the boundaries of creativity and realism in AI-generated imagery. The project methodology involves initializing the DiffusionPipeline with specific parameters, including the choice of model variant and computational precision, to optimize image generation performance. We meticulously craft textual prompts, providing detailed descriptions that serve as the creative blueprint for the generated images. Employing advanced techniques in machine learning, our model learns to interpret and translate these prompts into visually captivating representations. Through iterative experimentation and fine-tuning, we strive to achieve a balance between coherence to the prompt and artistic diversity in the generated images. Evaluation metrics such as image quality, diversity, and adherence to the prompt guide our optimization process, ensuring the production of visually appealing and conceptually faithful results. Beyond its technical intricacies, this project explores the broader implications of AI-generated imagery in various domains, including digital art, visual storytelling, and content creation. By showcasing the potential of AI as a tool for creative expression and innovation, we seek to inspire dialogue and collaboration at the intersection of technology and the arts.

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Keywords for your project abstract could include: 1. Image synthesis 2. Artificial intelligence 3. Diffusers library 4. Text-to-image generation 5. DiffusionPipeline 6. Transformers 7. Accelerated computing 8. Creativity 9. Realism 10. Computational precision 11. Machine learning 12. Coherence 13. Artistic diversity 14. Evaluation metrics 15. Image quality 16. Visual storytelling 17. Content creation 18. Digital art 19. Creative expression 20. Innovation

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 Abstract

Soil is a vital substance for all creatures in the world, soil has vast usage in different parts such as agriculture, civil work, foundation, bridges, embankment, buildings, canals, tunneling etc. Soil has different types and all the types of soil cannot fulfill all requirements of engineering properties and cannot stand against the properties such as mechanical strength, permeability, compressibility etc. among the different types of soils expansive soil is a weak soil which has less shear strength and should be stabilized for various construction purposes. Stabilization is the process of blending materials with soil in order to improve certain properties of soil like plasticity index, gradation, texture or act as a binder for the cementation of soil. Normally stabilization of soil is done by adding additives like lime, cement, etc. Cement stabilization is one of the effective stabilization processes but proves to be very costly in a long run. So, it needs an economic replacement by such materials which possess the same properties as that possessed by cement. It is being found that Pond ash possesses pozzolanic properties having silica as main component and Egg shell powder is having calcium oxide as its main component both being the main constituents of cement. Therefore, cement can be replaced partially or fully by these two waste materials in soil stabilization. A huge amount of eggshell and pond ash wastes is produced every year and there is an absence of effective waste disposal. Hence it is proposed to utilize ESP and pond ash for soil improvement which serves two purposes like waste utilization and also soil stabilization. In this present study, the two waste materials used are PA and ESP in different proportions. PA is first added in natural soil in different proportions like 3%, 5%, 7%, 9%and 11% by weight of soil and 5% PA was found an optimum proportion based on UCS values. After finding the optimum proportion of PA-soil mix i.e., 5% Then ESP was added in different proportions like 2%, 4%, 6%, 8% and 10% to the Soil-PA mix. From test results it was found that the UCS got a maximum value of 271.24 KN/m2 at 6% ESP.

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Pond Ash, Egg Shell Powder, maximum dry density, unconfined compressive strength

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 Abstract

Child sexual abuse is the involvement of a child in sexual activity that he or she does not fully comprehend, is unable to give informed consent to, or for which the child is not developmentally prepared and cannot give consent, or violates the laws or social taboos of society.1 Worldwide it is estimated that at least 1 in 10 girls and 1 in 20 boys experience some form of sexual abuse in childhood.2 The ultimate goal is to stop child sexual abuse before it starts. Strategies that support parents and teach positive parenting skills are very important. It is the need of time to understand and improve public awareness of child sexual abuse prevention, especially for the parents. Objectives: The study has been undertaken with the objectives to assess the level of knowledge regarding child sexual abuse and its prevention among the mothers of school going children, to evaluate the effect of an information booklet on child sexual abuse and its prevention among the mothers of school going children, to find out the association between the pre-test knowledge scores and selected demographic variables such as age, religion, education, occupation, number of the children and types of family.

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child sexual abuse, mothers, information booklet

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Internet is the global system of interconnected computer networks. It is the work of dozens of pioneering, scientist, programmers and researchers. On 6, August 1991, the World Wide Web became publicly available. Today the internet is a public, cooperative and self sustaining facility accessible to hundreds of millions of people worldwide. Internet addiction has been called internet dependency, and internet compulsivity .It causes severe stress on family, friend, loved ones, and one's work environment.

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EFFECTS OF INTERNET ADDICTION ON PSYCHOLOGICAL HEALTH OF COLLEGE STUDENTS

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 Abstract

An evaluation of Hindustan Zinc's free cash flow status is made in this study. This study aids in illuminating the reasons behind the company's cash inflows and outflows and provides an in-depth examination of the influence these factors have on the business's performance, enabling insightful recommendations to be made to enhance it going forward. The essential resource required to maintain a business's continuing operation is cash. Cash management entails organizing cash inputs and outflows, evaluating the benefits of cash, establishing effective systems and practices, and planning cash movements. The current research study has employed free cash flow as a technique for the scientific assessment of any business concern's performance. This research aims to investigate how the performance of the company is affected by free cash flow and its varying characteristics. The information is gathered from Hindustan Zinc's electronic annual reports, which span five years, from 2018-19 to 2022-2023; a single sample T-test is used for data analysis.

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Free Cash Flow, Free Cash Flow to Equity and to the Firm, Performance Appraisal

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 Abstract

In the era of e-commerce, business enterprises have quite different features. In order to take full advantage of ecommerce, enterprises should carry out corresponding management innovations. Enterprise innovation management can help enterprises to achieve rapid development so as to win business opportunities, to get access to markets and obtain maximized profits. This study examines the new requirements on enterprise management in e-commerce era, including constantly updating thoughts of business management, flat organizational structure, management epitaxial expansion, Informa ionization of means of production and marketing, flexible production management. Evidence indicates that business process reengineering, organizational change, cultural transformation, knowledge management, creativity and communication management have strong influences on the enterprise development in terms of management and innovation.

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e-business; enterprise management; innovation, Electronic Commerce

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Vehicle accidents often occur due to the sudden appearance of obstacles while driving. The varying response times of drivers can result in delayed braking or an inability to stop in time, leading to collisions. To address this issue, we propose an Autonomous Braking System (ABS) that utilizes advanced mechatronic technology The system uses an Ultrasonic wave emitter at the front of the vehicle to send out Ultrasonic waves. When these waves hit an obstacle, they bounce back and are detected by an Ultrasonic receiver. By analyzing these reflected signals, the system calculates the distance to the obstacle and adjusts the vehicle's speed accordingly through a microprocessor. In emergency situations, the microcontroller takes control and activates the braking system to apply the brakes quickly and effectively, enhancing safety. An important enhancement to this system is the integration of a Python-based application using Flask. This application can dynamically determine the location of an incident and communicate it to the nearest emergency services using real-time geographical data. This communication is facilitated through GSM technology, which sends alarm signals and the vehicle's GPS location to the appropriate authorities, ensuring a prompt response and assistance Additionally, the system can be expanded to include inter-vehicle communication capabilities. This feature allows cars to share information about their locations and speeds, improving road cooperation and awareness. This not only reduces collisions but also helps in creating smoother traffic flow. Overall, the Autonomous Braking System aims to improve road safety by reducing response times and stopping distances, thereby preventing accidents and significantly enhancing emergency response capabilities.

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Autonomous Braking System, Emergency Braking, GSM Technology, GPS Location Tracking Ultrasonic Technology, Obstacle Detection

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Neurological and behavioral symptoms arising from medical conditions can significantly impact daily life due to their influence on brain structure and function. Early and accurate detection of these conditions is crucial, prompting significant interest in the application of computer-aided algorithms for diagnosis. Recent advancements in artificial intelligence (AI), particularly deep learning, offer novel solutions. Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) are being explored for their potential to analyze medical imaging data, such as Magnetic Resonance Imaging (MRI) scans, in the identification of these conditions. Deep learning algorithms demonstrate promising results with high accuracy. The accuracy rates for certain architectures, such as 18-layer CNN models, have been reported to exceed 98% in studies utilizing the powerful computer systems equipped with CUDA-enabled GPUs and large data sets of MRI scans from initiatives like Alzheimer's Disease Neuroimaging Initiative (ADNI). These results indicate that deep learning-based methods have the potential to improve and expedite medical diagnoses, paving the way for advancements in patient care.

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Magnetic resonance imaging (MRI), Deep learning, Neurological disorder, ADNI, Artificial Intelligence

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 Abstract

Pharmaceutical analysis plays an outstanding conspicuous role in quality assurance similarly to internal control of bulk medication and pharmaceutical formulations. As a consequence, analytical methodology development has become the essential activity of study. New drug molecules are being developed and the analysis is also gaining equal importance. A huge survey was conducted for the determination of antidiabetic drugs including Vildagliptin, Sitagliptin, Metformin etc. from the research articles published in various pharmaceutical and analytical chemistry Journals. Nowadays, many antidiabetic drugs are available in tablet dosage forms. The present article focuses on the different analytical methods for the quantitative estimation of antidiabetic drug. The present paper accentuates the review of analytical methods including UV/Vis-Spectroscopy, HPLC, RP-HPLC, HPTLC, GC-MS, LC-MS etc. which involve the estimation of antidiabetic drug in pharmaceutical dosage form. The investigatory review may provide comprehensive details of various analytical techniques and their experimental condition to the researchers who are working in the area of analytical research of antidiabetic drugs. The present studies revealed that the gas chromatographic method combined with mass spectroscopy has specific advantages and sensitivity for antidiabetic drug analysis in pharmaceutical dosage form and biological matrices.

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Antidiabetic drug, analytical method, RP-HPLC, GC-MS, LC-MS.

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 Abstract

Brain abscess / intracranial abscess is a central nervous system disease caused by the infection from bacterial viral ,fungal etc. sources leading to a pus filled capsule inside the brain. It is a complicated and life threatening disease since currently there are no widely accepted neurosurgical management guidelines. Brain abscess has a high morbidity and mortality rate thus, the disease is currently a major public health problem. Majority of the pathogens are bacterial in nature eg -streptococcus , staphylococcus etc. In this study ,we have established some therapeutics against brain abscess using in silico network biology approaches. The selection of therapeutics and antibiotics depends on the microorganisms isolated from blood or CSF and their ability to cross the natural barriers of brain (BBB). The construction of network consisting genes associated with brain abscess were collected from different databases like malacard,genecard, and thorough literature study using cytoscape. The network consists of nodes representing genes and interactions between them. We identified two hub genes (STAT3 and IL6)from the network having highest degree and satisfying various parameters like MCC,MNC,stress etc. .We analyzed the role of target gene in brain abscess. A virtual library consisting of various antimicrobial compounds as ligands was made .Molecular Docking using auto dock vina1.5.6 version was done and through this study we found out promising therapeutics against brain abscess .In conclusion we found out the role of STAT3 and IL6 gene in brain abscess and established therapeutics against the causative agents . The docking simulations revealed several promising candidates with high binding affinity and favorable interaction patterns with the target proteins implicated in brain abscess pathophysiology. Furthermore, structural analysis of the ligand-receptor complexes provided insights into the molecular mechanisms of action and potential modes of inhibition for the identified compounds. Our findings highlight the potential of computational docking techniques in accelerating the discovery and development of novel therapeutics for brain abscess treatment. Future experimental validation of the identified lead compounds is warranted to confirm their efficacy, selectivity, and safety profiles in preclinical and clinical settings. Overall, this computational study contributes to the ongoing efforts to combat brain abscesses and improve patient outcomes through the rational design of targeted pharmacological interventions.

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BBB,network construction,virtual library,docking,stat3 gene ,

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