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676 articles for “EIS”
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Ashaya as Abode: Reconciling Ayurvedic Vata Theory with Intestinal Neurophysiology
Abstract: Background-Ashaya refers to a site or structure within the body where a substance resides. Ashaya refers to the internal sites or structures within the body where various substances reside Commonly, seven Ashayas are described in males, while in females there are eight, while Sharangadhara has described 9 Ashayas. Vatashaya denotes the specific site of Vata Dosha, which is considered the chief among the three Doshas due to its vital role …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 15, Issue 2, 2026 Read article
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Managing Chronic Diseases: Diabetes Mellitus
Abstract: Diabetes mellitus is one of the most prevalent chronic non-communicable diseases worldwide and represents a major public health challenge due to its long-term complications, increasing prevalence, and economic burden on individuals and healthcare systems. It is distinguished by chronic hyperglycemia brought on by deficiencies in either insulin action or secretion, or both. Diabetes causes increasing harm to several organ systems, including the kidneys, eyes, neurological system, and cardiovascular system, if …
Published in International Journal of Antibiotics · Vol. 3, Issue 2, 2026 Read article
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Noise-Driven Collective Behavior in Mean-Field Coupled Lorenz Oscillator Networks
Abstract: This work investigates the spatiotemporal dynamics of an ensemble of 100 identical Lorenz oscillators coupled through a mean-field scheme in the presence of additive noise. Building on prior studies of spatiotemporal chaos in coupled Lorenz arrays and mean-field coupled chaotic oscillators, the focus is on how the competition between deterministic coupling and stochastic forcing shapes collective behavior, including complete synchronization, desynchronization, clustered states, and noise-modified spatiotemporal chaos. The governing equations …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article
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Overcoming Obstacles to an HIV-1 Cure: Advances in Genome Editing, Immune System Reprogramming, and Viral Reservoir Elimination
Abstract: Human immunodeficiency virus type-1 (HIV-1) continues to represent a major global health challenge despite the remarkable success of antiretroviral therapy (ART). Although ART effectively suppresses viral replication and prolongs survival, it cannot eradicate the virus due to the persistence of long-lived latent reservoirs. In recent years, innovative therapeutic strategies have been explored with the aim of achieving either a functional remission or complete viral elimination. Advances in genome-editing technologies, particularly …
Published in International Journal of Virus Studies · Vol. 3, Issue 2, 2026 Read article
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Exploring the Relationship Between Disseminated Intravascular Coagulation and Waterhouse–Friderichsen Syndrome
Abstract: Waterhouse–Friderichsen syndrome was first identified as a distinct clinical entity by Little in 1901. He described four cases from his own observations and, after examining existing literature, identified eight additional cases that he considered previously unclassified. One case in his report may have involved purpura resulting from a different cause. The knowledge of this unusual disorder developed slowly from several significant clinical observations and case reports during the first two …
Published in Research and Reviews: A Journal of Medicine · Vol. 16, Issue 2, 2026 · pp. 45–49 Read article
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Passive Digital Phenotyping for Longitudinal Burnout and Occupational Mental Health Surveillance: A Transformer-Based Explainable Deep Learning Approach Using Smartphone Behavioral Streams
Abstract: Occupational burnout constitutes a pervasive yet chronically under-surveilled public health threat, its insidious temporal evolution rendering episodic self-report instruments structurally inadequate for early detection. This paper introduces BurnoutSense, a passive digital phenotyping framework that continuously harvests eight heterogeneous smartphone behavioral data streams encompassing application usage ecology, communication metadata, geospatial mobility, screen interaction dynamics, inferred sleep rhythmicity, keystroke kinematics, ambient noise exposure, and battery/charging cadence to construct individualized multivariate behavioral signatures …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 2, 2026 · pp. 44–53 Read article
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Intuitionistic Fuzzy Hypergraph Laplacians and Dominating Transversals for Resilient Discrete Network Design
Abstract: This manuscript develops a discrete mathematical framework for resilience analysis on networks whose interactions are polyadic, uncertain, and partially conflicting. Classical graphs compress multi-way coordination into pairwise edges, while ordinary fuzzy graphs often ignore the non-membership information that becomes critical in emergency logistics, infrastructure interdependence, and cyberphysical coordination. We therefore formulate an intuitionistic fuzzy hypergraph in which each vertex hyperedge incidence carries membership, non-membership, and hesitation, and we construct a …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 2, 2026 · pp. 15–21 Read article
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Activating agents control the morphology of activated carbon materials from biomass
Abstract: The stems of the plant Calotropis gigantea (Cg) were were used as a feedstock for the activated carbon material. Carbonate (K 2 CO 3 ) and oxalate (Na 2 C 2 O 4 ) were used as chemical activating agents. The morphological features of the activated carbon materials were characterized using FEG-SEM. The morphology of the activated carbon materials is found to depend on the type of activating agent used. …
Published in Journal of Catalyst & Catalysis · Vol. 12, Issue 1, 2025 · pp. 27–38 Read article
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Predicting Dielectric Constants of Polymers Using Molecular Structural Descriptors and Explainable Machine Learning: A Data-Driven Approach
Abstract: Accurate prediction of dielectric constants in polymeric materials is fundamental to the rational design of advanced electronic components, energy storage capacitors, flexible substrates, and high-frequency communication circuits. Conventional approaches to identifying suitable polymer dielectrics rely on extensive experimental synthesis and characterisation, which are both time-consuming and resource-intensive. In this work, an explainable machine learning framework is developed to predict the dielectric constant of polymers directly from molecular structural descriptors derived …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 297–304 Read article
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A Comparative Study of the Structure–Property Relationships in CAD/CAM Milled vs. 3D-Printed High-Performance Polymers: Impact of Molecular Orientation on Abrasive-Wear Resistance
Abstract: Background: The transition from subtractive to additive manufacturing in prosthetic dentistry has introduced significant variations in the macromolecular architecture of high-performance polymers. While CAD/CAM milling utilizes high-density, industrially polymerized blocks, 3D printing (Additive Manufacturing) relies on layer-by-layer deposition, which may induce anisotropic molecular orientation. This retrospective study investigates how these distinct manufacturing “thermal histories” influence the long-term abrasive-wear resistance of PEEK and PEKK restorations. Materials and Methods: Data were retrospectively …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 133–140 Read article
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Analyzing and Predicting Academic Behavior from Peer Pressure Indicators Using Machine Learning
Abstract: The academic achievement of a student is determined by their capability, but also by the companions with whom they associate. Friends can have a positive impact on students' motivation for school, and at times friends are distractions leading to a lack of attention on their school assignments. This particular study focuses on the number and quality of companions students associate with and to what extent that could be used as …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 · pp. 1–7 Read article
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Analysis of Thermoelectric Generator for Automotive Exhaust Energy Recovery
Abstract: Utilizing waste heat from thermodynamic systems has shown to be a successful tactic for reducing environmental emissions and improving overall energy efficiency. About 40% of the chemical energy generated during fuel combustion is rejected by exhaust gases in internal combustion engines. It is possible to increase vehicle fuel efficiency and lower greenhouse gas emissions by harvesting this otherwise lost heat energy and turning it into useable electrical power. A viable …
Published in Trends in Mechanical Engineering & Technology · Vol. 16, Issue 2, 2026 · pp. 21–33 Read article
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Artificial Intelligence–Assisted Reduced-Order Modeling and Stability Control in Granular Couette Flow
Abstract: This study develops a reduced-order and stability-aware modeling framework for dense granular Couette flow by integrating continuum mechanics, bifurcation analysis, and data-driven stability estimation. Starting from coupled governing equations for momentum, granular temperature, and microstructural evolution, the system is nondimensionalized and reduced using a Galerkin projection consistent with shear-driven boundary conditions. This yields a low-dimensional nonlinear dynamical system that preserves the essential coupling between velocity, fluctuation energy, and structural relaxation. …
Published in Emerging Trends in Chemical Engineering · Vol. 13, Issue 3, 2026 Read article
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Real-Time Deepfake Detection in Video Conferencing Systems
Abstract: Deepfake technology presents non-exemplary threats to video conferencing platforms, enabling advanced fraud, impression and misinformation campaigns worth billions annually. Current detection methods either exhibit latencies exceeding 100ms or rely on server-side cloud processing, raising privacy concerns. This paper presents DeepConfGuard, a lightweight hybrid architecture combining MobileNetV2 for spatial feature extraction, a bidirectional LSTM with attention for temporal modelling, and EfficientNetV2 for refinement. It reaches 94.8% accuracy with 85 ms end‑to‑end …
Published in International Journal of Electronics Automation · Vol. 4, Issue 2, 2026 Read article
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A Study on Clinical Evaluation of Multi Intervention Therapy for Enhancing Quality of Life in Maintenance Hemodialysis Patients
Abstract: Patients with Chronic Kidney Disease (CKD) receiving maintenance hemodialysis often report a markedly impaired health-related quality of life, largely resulting from factors such as psychological distress, chronic inflammation, and poor nutritional status. Despite its importance as a clinical outcome, HRQOL assessment in dialysis patients has received limited attention. Strengthening comprehensive patient care and optimizing treatment strategies may help reduce complications and promote improved physical, mental, and social well-being. The present …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 15, Issue 3, 2025 · pp. 69–81 Read article
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Harmonic Analysis of Arterial Blood Pressure Signal Using Fourier Decomposition for Autonomic Health Assessment
Abstract: AbstractIn the present study, the arterial blood pressure waveform is decomposed utilizing Fourier to examine the fundamental frequency and to build up a linkage for autonomic health assessment. This methodology will produce practically identical fundamental frequency, either utilizing noninvasively recorded photoplethysmogram (PPG) or the blood pressure signal. In order to normalize the both, signal PPG waveform is approximated to arterial blood pressure waveform by nonlinear fitting blood pressure values to …
Published in Current Trends in Signal Processing · Vol. 7, Issue 3, 2017 · pp. 7–14 Read article
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Genesis of English Language with its Cybernetics Origin
Abstract: AbstractThis paper is looking into the genesis of the English language with its Cybernetics origins and hence looking into the possibilities of developing new techniques to be used in speech processing applications. As we all know, English is the third-most-spoken language in the world by a number of native speakers, which is used to create the present world, which is also a West Germanic language that was first spoken early …
Published in Current Trends in Signal Processing · Vol. 10, Issue 1, 2020 · pp. 19–28 Read article
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Arduino Based Voice Recognition Microwave Oven
Abstract: AbstractAs we age, simple everyday tasks become difficult to perform. Simply enjoying a hot nutritious meal may be difficult because of the natural impairments and declines in health conditions. The microwave oven has become an essential household appliance to ensure independent living for the elderly or persons with disabilities. By its very nature it provides flexible and convenient cooking options without the safety concerns of either gas or electric burners. …
Published in Current Trends in Signal Processing · Vol. 10, Issue 2, 2020 · pp. 1–4 Read article
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Removal of Blotches and Impulse Noise in Gray Scale Images Using Non-linear Algorithm
Abstract: An image consists of artifact, which appears in an image that is actually not present in the original imaged object. An image artifact (noise) is sometimes the result of improper operation of the imager, and other times a consequence of natural processes or properties of the human body. Blotches (bulk noise) and impulses are the artifacts where blotch can be either bright or dark spots and impulse can be salt …
Published in Current Trends in Signal Processing · Vol. 4, Issue 3, 2014 · pp. 22–27 Read article
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IOT BASED FOOD CLASSIFYING SYSTEM
Abstract: Importance of good can never be ignored. It is well understood by two popular proverbs: “Health is wealth” and “A healthy brain resides in healthy body”. Nowadays, in this busy lifestyle, people generally do not pay proper attention to their diet plan. They become unable to plan their diet properly to maintain the desired body build-up and body mass index (BMI). Moreover, they do not become able to know the …
Published in Current Trends in Signal Processing · Vol. 12, Issue 2, 2022 · pp. 8–13 Read article