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1940 articles for “pre” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Gene Edited Livestock for Enhanced Feed Efficiency and Metabolic Adaptation Through Precision Genomic Interventions
Abstract: Advances in gene editing technologies have transformed the landscape of livestock production by enabling precise manipulation of genetic material associated with productivity, health, and environmental adaptability. Tools such as CRISPR Cas9 and emerging next generation editors allow targeted modifications that improve feed efficiency, growth performance, nutrient utilization, and stress tolerance in farm animals. This review highlights the genetic basis of feed efficiency and metabolic regulation, focusing on key genes and …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 16, Issue 2, 2026 Read article
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A Comprehensive Review of Machine Learning and Explainable AI Techniques for Disease Prediction Systems
Abstract: Large amounts of diverse medical data have been produced because of the quick development of digital healthcare systems, offering substantial chances to use machine learning methods for clinical decision support and illness prediction. By identifying intricate patterns in clinical data, machine learning-based models have shown great promise in early disease detection, risk assessment, and personalised healthcare. However, issues with transparency, interpretability, and reliability have been brought up by the growing …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 1, 2026 · pp. 20–28 Read article
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Artificial intelligence-integrated nanobiotechnology for precision medicine, smart diagnostics, and sustainable environmental applications
Abstract: Background: Nanobiotechnology integrates nanoscale materials with biological systems, enabling breakthroughs in drug delivery, biosensing, and environmental monitoring. However, the complexity of biological interactions and the vast parameter space of nano‑bio interfaces limit conventional design. Artificial intelligence (AI) offers powerful tools for modelling, predicting, and optimising these systems. Objective: This review provides a systematic, STM‑compliant overview of AI‑integrated nanobiotechnology across three domains: precision medicine (AI‑optimised nanocarriers, personalised therapeutics), smart diagnostics (AI‑powered …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 28, Issue 2, 2025 Read article
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Managed Pressure Drilling for Improved Well Control: A Cross-Case Comparative Study (2015–2025)
Abstract: Managed Pressure Drilling (MPD) has matured over the past decade from a specialist technique applied to challenging wells into a mainstream drilling capability spanning ultra-HPHT exploration, deepwater development, unconventional tight-gas multi-well campaigns, and naturally fractured sour-gas reservoirs. Despite this maturation, the operational question of which MPD variant should be applied to a given well has been addressed in the literature case-by-case rather than through structured comparative synthesis. This paper presents …
Published in Journal of Petroleum Engineering & Technology · Vol. 16, Issue 2, 2026 · pp. 07–12 Read article
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A Physics-Informed Graph Neural Network Framework for Real- Time Thermal-Aware Fault Prediction and Adaptive Power Optimization in Heterogeneous System-on-Chip Architectures
Abstract: Heterogeneous System-on-Chip (SoC) architectures are increasingly adopted in edge computing, artificial intelligence, autonomous systems, and high-performance embedded platforms due to their superior computational efficiency and flexibility. However, increasing integration density and workload diversity introduce severe thermal hotspots, accelerated device degradation, and unexpected hardware faults that adversely affect system reliability and energy efficiency. This study proposes a Physics-Informed Graph Neural Network (PI-GNN) framework for real-time thermal- aware fault prediction and adaptive …
Published in Journal of VLSI Design Tools and Technology · Vol. 16, Issue 2, 2026 Read article
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A Novel Approach to Ceiling Fan-Based System for Preventing Suicide by Hanging
Abstract: Suicide by hanging has become a significant public health issue in India. According to reports from the National Crime Records Bureau (NCRB), a considerable number of hanging cases are reported annually, with the majority being suicidal in nature. Homicidal cases disguised as hanging are extremely rare. Accurate differentiation between suicidal and homicidal hanging requires thorough examination of the crime scene in an undisturbed condition, followed by a detailed autopsy investigation. …
Published in Recent Trends in Sensor Research & Technology · Vol. 13, Issue 2, 2026 Read article
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Immune Boosting Functional Foods for Strengthening Host Defense Mechanism to Combat in Opposition to Covid-19 and Unani Guidelines of Ayush for Its Prevention
Abstract: The Immune systems protect the host in opposition to infectious and poisonous diseases and guard from contagious agents present in the environment, such as viruses, fungi, bacteria, and parasites. Blood performs an essential position in enhancing immunity because of the arrival of white blood cells or tissues that combat in opposition to infectious diseases. Sometimes they are not able to understand those organisms. Due to this reason, we want to …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy Read article
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Predicting and Prohibiting the Risk of Heart Failure Using Machine Learning
Abstract: It is challenging to estimate the likelihood of complex chronic disease while treating conditions like heart failure. The application of machine learning, an area of artificial intelligence, in cardiovascular care is growing quickly. In essence, it defines how computers classify and understand data, or choose a task with or without human intervention. The theoretical underpinnings of machine learning are models that accept input data (such as images or text) and …
Published in International Journal of Computer Science Languages · Vol. 1, Issue 1, 2023 · pp. 15–20 Read article
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A Novel Hybrid Link Prediction Algorithm for E-Commerce Recommender System Based upon Common Neighbor and Resource Allocation Methods
Abstract: Link prediction is a challenging task in recommender systems, as it requires the ability to accurately predict future links between users and items. In this study, we propose a novel hybrid link prediction algorithm for e-commerce recommender systems that combines the common neighbor and resource allocation methods. The common neighbor method is a straightforward and intuitive algorithm that calculates the number of shared neighbors between two nodes. The intuition is …
Published in International Journal of Data Structure Studies · Vol. 1, Issue 1, 2023 · pp. 12–17 Read article
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Role of W.A.R. Score in Predicting Wound Infection
Abstract: In clinical practice, chronic wounds are a major difficulty that are frequently made worse by the infection risk. However, the lack of precise standards for evaluating the risk of infection and establishing the need for and length of time for systemic antibiotics leads to the overuse and abuse of these drugs, which increases the risk of side effects and the development of antibiotic resistance. To close this gap, the development …
Published in Emerging Trends in Personalized Medicines · Vol. 1, Issue 1, 2024 · pp. 33–38 Read article
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Standard Manufacturing Procedure (SMP) of Jaharamohara Bhasma Prepared by two Methods
Abstract: Introduction: Jaharamohara (Serpentine) is an important drug of Ayurveda and Unani medicine. In the literature of Rasashastra it is classified under Sikta Varga (group of silica containing drugs). In classical texts, different Bhavana Dravya (levigating material) are advised for the preparation of Jaharamohara Bhasma which enhances its potency. However, no work has been done till date to standardize Jaharamohara Bhasma by two different methods. Aim: An attempt has been made …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 11, Issue 1, 2024 · pp. 1–13 Read article
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Fuzzy Logic Driven Nutrition-based Recommendation System for Gujarati Cardiac Patients: Integrating Cultural Preferences and Patient Feedback
Abstract: This article focuses on developing a comprehensive dataset for accurate dietary recommendations tailored to Gujarati cardiac patients' needs. The dataset comprises nutritional details of over 90 Gujarati food and fruit products, meticulously collected through primary and secondary data collection methods. Each food item's nutritive values, including proteins, carbohydrates, fats, fiber, and calories, are meticulously recorded to facilitate precise dietary recommendations. The dataset integrates cultural preferences and seasonal variations in food …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 59–83 Read article
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Standard Manufacturing Procedure of Rajavarta Bhasma Prepared from two Varieties
Abstract: Rasaaushadhi are the backbone of Ayurveda therapeutics. Bhasma Kalpana comprises of conversion of metals and minerals into suitable form. In Rasashastra, Rajavarta (lapis lazuli) is one among Uparatna (semi-precious stone) and used as a Bhasma in Prameha (polyuria), Kshaya (emaciation), Pandu (pallor) and many more. However besides its therapeutic uses, it remains unexplored by scholars of Rasashastra. In present era, two types of Rajavarta are available in market based on …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 13, Issue 2, 2024 · pp. 14–23 Read article
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Prediction of Mobile Phone Price Using Machine Learning Classifiers
Abstract: One cannot imagine one's life without mobile phones; in today's digital era, mobile phones have become a necessity for everyone to fulfil their various demands like messaging, communication, entertainment, productivity, research, shopping and many more. In a thriving market of mobile phones where new smartphones are launched every year with new advanced features and various designs, determining the expense of a mobile can be a trouble-some tasks for consumers. In …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 101–108 Read article
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Autism Spectrum Disorder Prediction Using Classification Techniques: A Comparative Analysis
Abstract: Autism spectrum disorder (ASD) is a multifaceted neurodevelopmental disorder marked by difficulties in social interaction, communication, and repetitive behaviors. Identifying and addressing ASD early is essential for enhancing the quality of life for those affected. Data mining techniques have emerged as powerful tools in analyzing large datasets to predict and diagnose ASD, aiding in early identification and intervention. This article presents a comprehensive comparative analysis of classification techniques employed in …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 66–71 Read article
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Association Rule Mining for Predicting Heart Disease: Challenges and Opportunities
Abstract: The exponential growth of digital healthcare data has spurred innovative applications of data mining techniques in medical research and practice. Among these, association rule mining stands out for its ability to uncover meaningful correlations within diverse datasets, such as electronic health records, imaging data, and genetic information. This paper reviews the application of association rule mining in predicting heart diseases, emphasizing its potential to enhance early detection, risk stratification, and …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 3, 2024 · pp. 29–34 Read article
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Clinical Profiles of Patients Presenting with Hypoglycemia in Emergency Department of Bir Hospital
Abstract: Hypoglycemia stands as a primary reason for visits to the Emergency Department (ED), ranking high among the most frequent and easily avoidable hormonal emergencies. The aim of this research is to investigate the occurrence of hypoglycemia and identify its underlying causes. As the number of diabetes cases rises, along with different methods of tightly managing blood sugar levels, the likelihood of hypoglycemia also increases. Given that extended periods of hypoglycemia …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 3, 2024 · pp. 19–39 Read article
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Renewable Solar Energy Prediction in India : 2025-2030
Abstract: As India endeavors to realize its objective of achieving 500 GW of renewable energy capacity by the year 2030, the precise forecasting of solar power generation is rendered increasingly essential. This scholarly article conducts a comprehensive review of the utilization of machine learning (ML) methodologies in the prediction of solar energy across diverse Indian states, underscoring their potential to address the complexities associated with the variability of solar irradiance. Conventional …
Published in Journal of Power Electronics and Power Systems · Vol. 14, Issue 3, 2024 · pp. 41–46 Read article
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Presento AI: Your Personal Slide Assistant
Abstract: An AI based Auto Slide Generator offers significant time and effort savings. Current tools like Microsoft PowerPoint and OpenOffice aid researchers by providing slide outlines and themes, but they fall short in assisting with slide content selection. An academic presentation functions as an advertisement for a paper rather than an exhaustive information dump. In PowerPoint presentations, it's acceptable to include images that encapsulate your research's objectives. Visuals serve as highly …
Published in International Journal of Electronics Automation · Vol. 2, Issue 2, 2024 · pp. 14–19 Read article
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Deformation and Densification Behaviour of Sintered Aluminium Alloy and Chromium Carbide Metal Matrix Preforms
Abstract: This paper presents comprehensive experimental results focused on the deformation and densification behavior of sintered AA2618 - 2% Cr3C2 metal matrix preforms. The study specifically examines preforms with varying aspect ratios subjected to a cold upsetting process. To create the powder preforms, an initial theoretical density of 89% was achieved using a cylindrical die on a 600 kN hydraulic press. The sintering process was conducted in an electric muffle furnace, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 125–131 Read article