Search
244 articles for “Explainability”
-
Electrical Measurements on La-modified Four-Layered Aurivillius Ceramics
Abstract: Bismuth layered structure ferroelectric (BLSF) of Aurivillius family is found to be attractive owing to its scientific and technological point of view. These materials have potential ferroelectric applications owing to the fact of its high Curie temperature, high temperature piezo-devise and ferroelectric random access memory (FRAM), applications. In addition, Bi-modified compounds have shown improved ferroelectric properties. However, the plausible reason for improving ferroelectric properties in Bi-modified is still unclear. The …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 157–170 Read article
-
Abysmal Oddities of Brain in Neurological and Psychiatric Disorders Based on Sū’-i-Mizāj Māddῑ (Abnormal Substantial Temperament): Through The Lens of Greco-Arabic Medicine
Abstract: The mesmerizing history of neurological and psychiatric disorders relates to the history of humanity. The Unani philosophers apprehend neurological and psychiatric disorders superbly. They gave a conceptual understanding of the Sū’-i-Mizāj dimag and diagnosed neurological and psychiatric disorders wonderfully. Contrariwise, the Babylonians associated epilepsy, anxiety, depression, mania, and other psychiatric disorders with deities and demons earlier. To understand, analyse, and explain a comprehensive patho-physiology of neurological and psychiatric disorders, it …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 12, Issue 2, 2025 · pp. 30–42 Read article
-
Machine Learning-Based Approach for Heart Disease Prediction
Abstract: Heart disease is a significant global health challenge, with early diagnosis and prediction being essential for reducing mortality rates. Machine Learning (ML), an efficiently developing field within Artificial Intelligence, provides innovative methods for analyzing complex clinical data to predict heart disease. This review examines the basic machine learning techniques, data, and metrics used in cardiovascular disease prediction. It explores the role of supervised learning, such as decision trees and logistic …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 64–73 Read article
-
ML-Based Predictive Modeling of Mechanical Properties in 3D-Printed Polymer Composites for IoT Applications
Abstract: This study aims to develop an interpretable and high-accuracy machine learning framework for predicting the mechanical properties of 3D-printed fiber-reinforced polymer composites, with a focus on structure–property correlations relevant to polymer processing and functional performance. Composite specimens based on PLA and ABS matrices were fabricated using FDM with varying weight fractions (5–20 wt%) of carbon and glass fibers. Standardized mechanical testing (ASTM D638, D256, D790) was performed to evaluate tensile …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 61–78 Read article
-
Effect of Bi2O3 Content and Sintering Temperature on the Frequency-Dependent Magnetic Properties of Nanosized Barium Hexaferrite
Abstract: The magnetic properties of commercially available nanosized barium hexaferrite (BaFe12O19) are studied. The particles were characterized using X-ray diffraction (XRD), vibrating sample magnetometer (VSM), and high-frequency magnetic measurements. The frequency-dependent magnetic properties viz. complex permeability and loss tangent were analyzed within the 10 MHz to 1 GHz range. Variations in complex magnetic permeability and loss tangent were discussed under varying sintering parameters such as temperature and sintering aid content. The …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 107–113 Read article
-
Artificial Intelligence in Diagnostics: Advancements, Challenges, and Future Prospects
Abstract: AI is changing (and will change) healthcare as we know it, and diagnostics might be the specialty that feels the most discomfort. Artificial intelligence-based analytical systems are facilitating the detection, diagnosis, and treatment of a variety of diseases, with better accuracy, speed, and results. Now, this abstract investigates the role of AI in diagnostics, scouring its elements, landmark techniques, transformative impact and future overview. This article explains AI and discusses …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 3, 2025 · pp. 8–17 Read article
-
Advancements in Buccal Patch Drug Delivery Systems: A Comprehensive Review of Evaluation Parameters
Abstract: The most dependable delivery method is buccal patches because it offers many improvements over alternative methods.This delivery method circumvents the hepatic first pass metabolism to deliver the medication into the systemic circulation. Buccal patches are inserted between the cheek and gums, where they dissolve and absorb through the buccal cavity's mucosal membrane. Polymers can be used to control the drug's delivery, and intelligent polymeric systems are a good option for …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 15, Issue 2, 2025 Read article
-
Computational Modeling of Polymer Semiconductors for Electronic Applications
Abstract: Polymer semiconductors have become important materials in modern electronic applications because they combine semiconducting behavior with mechanical flexibility, low-cost processing, and tunable molecular structure. Their growing use in organic field-effect transistors, organic photovoltaics, organic light-emitting diodes, and flexible sensing devices has increased the need for accurate computational approaches that can predict material properties and device performance before experimental fabrication. This paper reviews the major computational modeling techniques used for polymer …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 132–146 Read article
-
Learning Data Structures: Key to Good Programming
Abstract: Data structures are the most crucial feature of good programming and are needed to solve hard computational problems. This model makes use of two different recurrent neural network architectures, specifically long short-term memory (LSTM), and gated recurrent unit (GRU) networks. It explains how selecting and using the correct data structures may speed up computations, optimize memory, and scale code. How data structures and algorithms relate and how to think about …
Published in International Journal of Data Structure Studies · Vol. 4, Issue 1, 2026 · pp. 29–39 Read article
-
AI-Driven Pharmacogenomics and Precision Medicine: Future of Personalized Therapy
Abstract: Pharmacogenomics and artificial intelligence (AI) are emerging as important drivers of precision medicine, enabling healthcare systems to adopt individualized therapeutic approaches. Pharmacogenomics examines how genetic variations influence drug response, efficacy, metabolism, and toxicity, while AI provides advanced computational tools for analyzing complex genomic and clinical data. This review highlights the integration of AI-driven pharmacogenomics in personalized therapy and its potential to improve treatment outcomes. Machine learning, deep learning, natural language …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 2, 2026 · pp. 1–12 Read article
-
Antimicrobial Resistance and AI-Based Strategies for Rapid Pathogen Detection
Abstract: Antimicrobial resistance (AMR) has become a major global health threat, significantly reducing the effectiveness of antimicrobial therapies and increasing the burden of infectious diseases worldwide. The rapid emergence of multidrug-resistant pathogens has created an urgent need for faster, more accurate, and scalable diagnostic approaches to support timely treatment and effective infection control. Artificial intelligence (AI) has emerged as a promising technology capable of transforming pathogen detection and AMR surveillance through …
Published in Recent Trends in Infectious Diseases · Vol. 3, Issue 2, 2026 · pp. 26–36 Read article
-
Synthesis of Green Nanoparticles for Degradation of Cellulose
Abstract: Late advances in nano-science and technology have also prompted the advance of novel nanomaterials, which eventually increment potential eudaimonia and ecological perils. Enthusiasm for growing Earth's thoughtful ways for the mix of auriferous nanoparticles has been enlarged. The intention is to limit the negative effects of the designed methodology with artificial compounds and subordinate mixes. The abuse of assorted biomaterials for the mix of nanoparticles is a profitable methodology in …
Published in Journal of Modern Chemistry & Chemical Technology Read article
-
A Comprehensive Clinical Study with Ajamodakataila Matrabasti in the Management of Katigraha
Abstract: Katigraha is a Vataja Nanatmaja Vyadhi and it is explained as a condition characterized by Shula and restricted movements of Kati caused by Shuddha or Sama Vayu. Basti is considered as supreme therapy for Vatavyadhis. Matrabasti has dual action both Shodhana as well as Brimhana effect. In classics, no references are available for Ajamodakataila. So, it is considered as Anubhuta yoga and in the present study two ingredients are considered …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy Read article
-
Description & Prevention of Omicron
Abstract: November 9, 2021, Botswana becomes the first country to recognise it (Nov 11 2021). The new variant (B.1.529) has been represented in 77 countries. Omicron presents 32 changes in spike protein Scribd, restricting the point of interaction with the ACE2 receptor protein. Computational shows and components’ recreation has been applied to investigate the collaboration between the SARS-CoV-2 RBD and the ACE2 receptor. The receptor-binding domain (RBD), which more barely joins …
Published in Research & Reviews: A Journal of Pharmacognosy Read article
-
Surveillance Drone
Abstract: In today's society, surveillance is becoming increasingly important in order to maintain a place's decorum and assure the safety and security of its inhabitants. In this case, an aerial monitoring system will be beneficial. This study explains how an unmanned aerial vehicle (drone) can be used to create an aerial surveillance system. We begin by describing the elements of our airborne surveillance system, followed by a discussion of some of …
Published in Recent Trends in Programming languages Read article
-
The Overview of Software Testing: Types, Methods, and Levels
Abstract: Software development life cycle (SDLC) is a software development model consisting of different phases i.e., analysis, design, coding, testing, deployment, and maintenance. The analysis phase is the primary phase in which all the requirements are gathered and analysed which is further used for designing and coding. The next phase is testing. Software testing is a process of evaluating software so as to check whether it satisfies the requirements of the …
Published in Journal of Software Engineering Tools & Technology Trends Read article
-
Technology Strategy for Improved Safety Management in Steel Industry
Abstract: In last three-four decades, complete technological revolutions have been underwent in Iron and Steel industries. In a relatively short time, the steel industry has observed the almost elimination of hazard and cost inefficient old technologies to state-of-the-art technologies. Strategy for sustainable development is to increase the production value along with other aspects such as techno-economic effectiveness, effective utilization of resources, projection of occupational health and safety, and environment of employees …
Published in Journal of Industrial Safety Engineering Read article
-
Investigation of Mechanical Properties of Jute and Bamboo Natural Fiber Composites
Abstract: Natural fibers have become increasingly popular in recent decades. Natural fiber composites are also becoming increasingly popular in a various industries, including automobiles, furniture, packaging, construction and sports. Natural fibers have several advantages over synthetic fibers, including low cost, low density, reduced damage to processing equipment, good relative mechanical properties, renewability, and biodegradability. Natural fibers were also introduced with the goal of producing lighter composites, and they have shown a …
Published in Journal of Production Research & Management Read article
-
Micro-atolls of the Gulf of Kachchh: Environmental Interactions and Adaptations of the Corals-an Anecdote
Abstract: The corals and coral reefs exhibit remarkable shapes and size in the marine realm. Any extant morphometric feature of any creature is a reflection of its interaction with the ambient environment and gradual evolutionary processes. The present study has for the first time revealed the occurrence of the panoply which is outcome of the evolutionary fitness mechanism, acquired by the coral colonies in the study area–Gulf of Kachchh, Arabian Sea. …
Published in Research & Reviews : Journal of Ecology Read article
-
Phase Behaviour Study of a Mesogen in a Solvent Role of Molecular Rigidity and Configurational Entropy
Abstract: The phase behaviour of a nematogen 4’-n-pentyloxy-4-biphenylcarbonitrile (POBPCB) has been studied with respect to the translational and orientational motions. The charges of atoms and their dipole moments have been estimated by implementing the complete neglect differential overlap (CNDO/2) method. The long-range interactions have been analyzed using modified Rayleigh- Schrodinger Perturbation theory together with the multicentred-multipole expansion scheme. The “6- exp” potential function has been considered to study the short-range interactions. …
Published in Research & Reviews : Journal of Physics Read article