Volume 13 | Issue 5 |

 Abstract

The rapid evolution of Artificial Intelligence (AI) and Machine Learning (ML) has brought transformative advancements in healthcare. This paper presents an AI-powered web application capable of predicting multiple diseases, including Heart Disease, Parkinson's Disease, Diabetes, Jaundice, Liver Conditions, and Hepatitis. Leveraging supervised machine learning algorithms such as XGBoost and Random Forest, the system analyzes user-input medical data to generate accurate real-time predictions. The application's frontend is developed using Streamlit, providing a user-friendly interface, while the backend integrates trained models deployed using Joblib. This system is intended to support healthcare professionals in early diagnosis and decision-making, particularly in resource-constrained environments.

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Disease Prediction, Artificial Intelligence, Machine Learning, XGBoost, Random Forest, Healthcare Informatics, Streamlit.

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The proliferation of fake news across digital platforms poses a significant threat to information integrity and public trust. This study presents a comprehensive machine learning framework for the detection and classification of fake news, aiming to distinguish deceptive content from authentic information with high accuracy. Various preprocessing techniques, feature extraction methods, and advanced machine learning models--including Support Vector Machines (SVM), Random Forest, and deep learning architectures like LSTM--are systematically evaluated. The research emphasizes the importance of linguistic, semantic, and contextual features in enhancing model performance. Extensive experiments on benchmark datasets demonstrate that the proposed approach achieves superior results compared to traditional baselines. The findings underscore the potential of machine learning in combating misinformation and highlight future directions for developing more robust, real-time fake news detection systems.

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Fake News Detection, Machine Learning, Text Classification, Natural Language Processing, Misinformation, Deep Learning, Feature Engineering, LSTM, SVM, News Credibility Assessment

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 Abstract

????? ?? ?????? ??? ??? ?? ?? ???? ?????? ?? ????? ????? ?? ? ?????????? ????? ?? ?????? ???? ???? ???? ??????? ?? ????? ?? ???? ?? ?? ???? ??? ????? ????? ??? ?? ???? ?? ?? ????? ?? ????? ??? ??????? ?? ???, ???? ?????? ???????? ???????? ????? ?? ?????? ??? ???? ???????, ???? ???? ?? ??? ?????? ???? ????? ??? ?? ? ???? ?? '???????' ???? ????? ???? ?? ?? ???? ?? ????? ????? ??? ?? '???????? ??????' ??? ????? ??????????? ???? ????? ?? ????? ?? ???? ?????? ??????? ??? ???? ?? ???? ????? ??, ????? ????? ?? ??? ??? '???????? ?????' ?? ????? ???? ?? ???? ??, ?????? ?? ????? ?? ???? ???? ??? ????????? ??????? (2014) ?? ?????? ???????? ????? ?? ?? ?????? ???????? ???? ??? ?? ?? "????? ?? ??????? ?? ???????? ?? ?????? ?? ???? ?? ??? ???? ???? ???????? ????? ???"1 ???? ????? ??. ?????? (2009) ????? ??? ??, "???????? ????? ?? ?????? ????? ?? ???? ???? ?? ?? ???? ????? ?? ????? ?? ???? ??????????? ?? ????? ???? ???? ??? ??? ?? ?????? ?????? ??? ???????? ????? ?? ???? ?? ??? ??, ?? ??? ?? ???? ?? ?? ???? ???? ?? ???? ?? ?? ???? ??? ?? ?"2 ??????? ????? ?? ??????? ?? ????? ????? ?? ??????? ???? ?? ????? ????? ?? ?? ???????? ???? ???????? ?????? ?? ?????? ?? ???????? ??????? ??? ??? ???? ?? ??? ?????? ???? ?? ???? ?? ?????? ?? ?????? ?? ????? ?? ?????? ??? ??? ???? ?? ??? ????? ?? ??? ??? ?? ? ?? ?????? ??? ????? ?? ????????? ??????????? ????? ?????, ???? ?????? ????, ???????? ??????, ????? ???? ???? ?? ?????????? ???? ?? ????? ?? ? ???????? ??????? ?????? ??? ??? ???? ???? ?? ???? ???? ?? ?? ????? ?? ???? ?? ???????? ??? ????? ??????? ???? ??????? ?? ????? ?? ??? ????? ?????? ?? ???? ??? ?? ???????? ????? ?? ?? ??? ??? ???

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???????? ?????, ???????? ????? ??? ???? ???????, ??? ???????

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INTRODUCTION- Diabetes is becoming more common in the United States. From 1998 through 2002, the number of Americans with diabetes more than doubled and increased in all age groups Currently Objectives- o To assess the level of knowledge on self-care practices of diabetes mellitus among patients with diabetes mellitus o To associate the level of knowledge on self-care practices of diabetes mellitus among patients with diabetes mellitus with their selected demographic variables. o To prepare the information booklet. METHODS AND METHODOLOGY- The present study was a pre-experimental one group pre-posttest research study to recruit the who are diabetic patient were selected by the using of purposive sampling technique. The data collection by the face to face and observation technique through the self-structured questionnaire, after that the data collection the data analysis based on the objectives and hypothesis. RESULTS- Shows that among DM patients 2(3%) had excellent knowledge, 5(8%) had a very good knowledge, 27(45%) had good knowledge, 26(43%) had affair knowledge and no one DM patients have a poor knowledge about self-care practices of diabetes mellitus. DISCUSSION AND CONCLUSION- The main conclusion drawn from the present study was that most of the Diabetes mellitus patients had inadequate Level of knowledge regarding self care practices of Diabetes mellitus. Thus, it was concluded that, Information Education and Communication on self care practices of Diabetes mellitus among patients with Diabetes mellitus may be improve the level of knowledge. So the information booklet was distributed to diabetes mellitus patients.

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Diabetic patient, booklet.

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Adolescents who experience high levels of psychological discomfort also require significant levels of psychological counselling. Nowadays, there is a growing need for psychological counselling due to the variety of issues that people encounter in significant areas of life. This research paper aims to find a correlation between students' academic progress and the degree of psychological counselling needs among 14-17 years school going adolescents in the city of Chandigarh. The study was conducted on two hundred school going adolescents. Students' academic accomplishment scores on their half-yearly exam were compared to their psychological counselling requirements using the Psychological Counselling Needs Scale by Chouhan and Arora, 2009. Regardless of gender, a significant negative correlation was discovered between the need for psychological treatment and academic achievement. It indicates that adolescents with lower academic standing had more mental health issues and thus are in higher need of psychological counselling than those with higher grades. A student's ability to succeed academically is significantly influenced by their state of mental health. It is important to understand that psychological disturbances affect the academic performance of an individual. The findings aim to contribute valuable insights regarding the need of psychological counselling to adolescents which help them in boosting their academic achievement.

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Keywords: Psychological Counselling Needs, Adolescents, Academic Achievement.

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Career Connect is an intelligent educational platform designed to guide students in their academic and career paths using AI-driven tools. The system predicts suitable academic streams--such as Science, Commerce, or Arts--based on parameters like aptitude scores, subject-wise academic performance, and areas of interest. It also facilitates online examinations with instant result generation, streamlining the evaluation process. Additionally, Career Connect features a university recommendation system that suggests institutions based on CGPA, university ratings, and other key metrics using machine learning algorithms. The platform further supports student-university interaction through integrated web and mobile applications, enabling course management, attendance tracking, and faculty-student communication, thus creating a centralized, efficient educational ecosystem.

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Aptitude Assessment, SSC Results, Online Examination, Educational Automation, Integrated Platform, Academic Management.

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Recent advancements in biomimetic materials have significantly impacted the field of ophthalmology, particularly in the development of next-generation vision correction devices. This study focuses on the creation of an innovative contact lens composed of corneal tissue-derived biomaterials, aiming to enhance both functionality and compatibility with the ocular environment. Conventional contact lenses, typically fabricated from hydrogel or silicone hydrogel, are often associated with drawbacks such as limited oxygen transmission, discomfort, and potential long-term corneal damage. To overcome these issues, this research utilizes decellularized corneal tissue combined with engineered extracellular matrix (ECM) elements to construct a contact lens that closely replicates the natural structure and function of the human cornea.The manufacturing process involves several stages, including decellularization of corneal tissue, ECM hydrogel development, and polymeric support for enhanced mechanical strength. Biocompatibility was assessed in vitro using human corneal epithelial cells, showing improved cell adherence and growth when compared to standard lens substrates. Optical transparency and oxygen permeability evaluations revealed that the tissue-based lens meets, and in some aspects surpasses, the performance benchmarks required for clinical use. Additionally, the lens exhibited excellent moisture retention and durability during simulated extended wear tests.This approach offers a promising alternative for individuals with ocular sensitivities or corneal pathologies, as well as those interested in regenerative solutions for vision correction. Future work will focus on in vivo validation and patient-specific customization. Overall, this development represents a significant step forward in the integration of tissue engineering with vision care technologies.

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Corneal-derived biomaterials, bioengineered contact lens, vision restoration, extracellular matrix (ECM), decellularized tissue, ocular biocompatibility, optical transparency, regenerative vision therapy, tissue-engineered ophthalmic device, corneal mimetic materials

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Abstract The current study does a webometric analysis on four autonomous institutes in the Goa state. The principal aim is to appraise and analyse their online presence using a range of webometric. These consist of connected pages, domain names, page authority, and the quantity of web pages. Other important online impact metrics that are computed by the study include Self-Link Web Impact Factor (SLWIF), the External Link online Impact Factor (ELWIF), and the Revised Web Impact Factor (RWIF) also Google page rank. Websites are an essential digital interface for organizations, representing their identity, reach, and resources. They serve as an important information source for stakeholders and reflect institutional functioning. To gain a better knowledge of the chosen institutions' digital footprint and efficacy in online communication, this study offers a webometric analysis and their review of the website indicates that the study is the most recent and distinct. There are few webometric studies on the autonomous institutions of Goa.

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Autonomous institutions in Goa,Webometrics, Linked Domain, Link Analysis, Self-Link, External Link, Web Impact Factor.

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Ayurveda is the most ancient system of medicine. Pandu Roga is one of the diseases mentioned in Ayurveda characterised by changes in skin colour to white[Shweta],yellowish[Peeta],greenish[Harita].etc. Most of the Acharyas have described 5 types of Pandu Roga i .e Vatika, Paitika, Kaphaja, Tridoshaja, Mridbhakshanajanya Pandu. Acharya Charaka, A. Vagbhata & Madhava Nidana have mentioned about Mridbhakshanajanya (soil eating)Pandu. At least one of the Doshas of the individual who has a habit of eating soil gets aggravated, due to dry nature of the soil, it makes the tissues of the body dry. Pica is the eating of, or craving to eat things that are not food. Mridbhanakshanjanya Pandu is a condition that alters gut health, weakens digestion, and predisposes individuals to Krimi. In Krimi Chikitsa through Nidana Parivarjana[elimination of causative factors],Prakriti Vighata [modification of favorable conditions for Krimi] and Apakarshana[expulsion of parasites].Understanding this relationship can help formulate effective Ayurvedic interventions for better management.

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Pandu Roga, Krimi, Doshas,Pica ,Mridbhakshanjanya Pandu

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Pulsed drug delivery systems (PDDS) are essentially time-controlled drug delivery devices in which the mechanism controls the lag time independently of external factors such as intestinal motility, pH, enzymes, etc. A pulsatile drug release, in which the drug is delivered rapidly after a predefined lag period, may be advantageous for a variety of drugs or therapies. Drugs are often released either immediately or gradually. Pulsatile drug release systems, however, have drawn more attention in recent years. Many medications or treatments may benefit from a pulsatile drug release, in which the drug is delivered quickly following a predetermined lag time. There are two types of pulse release systems: single-pulse and multiple-pulse. The family of single-pulse systems known as rupturable dose forms is widely used. One such method is pulsatile medication delivery, which promises to help patients with chronic conditions including arthritis, asthma, and hypertension by administering drugs at the appropriate times, locations, and dosages. Systems for pulsatile medication delivery may lead to major advancements in the treatment of several illnesses. Technologies including Pulsincap, Diffucaps, CODAS, OROS, and PULSY Saremarketed. The press coating process is a simple and unique technology that yields tablets with a programmable lag phase and a quick, or rate-controlled, drug release after ingestion, among its numerous advantages. These tablets may be made without the need of specialized coating equipment or solvent. When selecting the best chronopharmaceutical technology, consideration should be given to both production ease and cost-effectiveness.

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PDDS;Pulsatile Drug Delivery System, Chronobiology, Sustained Release, Lag Time, Circadian Rhythms, Chronotropic system, Osmosis.

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Creative Commons Attribution 4.0 and The Open Definition