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977 articles for “24/7 laundry booking”
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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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Economics of Fish Production and Marketing: A Case Study of Madhubani District in Bihar
Abstract: Fish farming is a vital source of livelihood, income, and nutritional security, especially in regions where aquaculture is embedded in local economies and culture. In India’s Mithila region (Bihar), fish (machh) holds substantial cultural, economic, and nutritional significance. This research analyzes the economics of pond-based fish production in Madhubani district, focusing on Benipatti Block, an area with high pond density. The study investigates determinants of productivity, profitability, and resource utilization, …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 2, 2026 · pp. 101–115 Read article
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ASSESSING OF FOREST STRUCTURE USING EARTH OBSERVATION DATA: ACASE STUDY IN MUNESSA FOREST, OROMIA REGION, ETHIOPIA
Abstract: Forest structure is essential for estimating forest-related carbon emissions, analyzing forest degradation, and quantifying the effectiveness of forest restoration initiatives. However, forest structure quantification is only limited to the specific area of interest without considering the whole forest coverage. Remote sensing data can easily deliver a large area to assess forest structure. Therefore, this study aims to assess forest structure of Munessa Natural Forest by integrating satellite based light detection …
Published in International Journal of Land Read article
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A Comprehensive Review on FinFet Technology : Advantages, Challenges and Applications
Abstract: New devices and enhanced layers have been developed, specially the FinFET (Fin Field-Effect Transistor) which is considerably superior to the planar transistor because of its ability to meet the new demands of systems for high-performance, low-power, and dimensions reduction. Some of the recent developments in FinFETs mentioned in this review include a reduction of leakage currents by 50% and an enhancement of the speed by 30%; thus, FinFETs remain fundamental …
Published in Journal of Semiconductor Devices and Circuits Read article
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Schizophenia – An Ayurvedic Review and Treatment – A Case study
Abstract: Schizophrenia is a complex, heterogeneous disorder. It is neuro developmental disorder characterized by problems with thinking (cognition),behavior- not focused on goals, negative symptoms, suicidal thoughts This means having a reduced or impaired ability to function normally and having noemotions(notmakingeyecontact,notchangingfacialexpressions,orspeakinginamonotone).Additionally, the person may lose interest in daily activities, withdraw from relationships, or be unable to sustain and reflection often associated with hearing or speech disorders, extreme confusion and associated functional impairments. …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 11, Issue 1, 2024 · pp. 40–48 Read article
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Electro-chemical treatment of graphite oxide: preparation and Characterization of high quality Graphene material
Abstract: With the enlargement of flexibility and suitability in material industries, high-performance thermal management materials are demanded with high thermal conductivity and electrical insulation are growing. In recent years, graphene has received a numerous focus from science community due to its high thermal conductivity and electrical insulation. Fabrication of light weight graphene and its derivatives as graphene Oxide (GO) and reduced graphene oxide (rGO) via facile processing method is yet a …
Published in Journal of Polymer & Composites Read article
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Electro-chemical treatment of graphite oxide: preparation and Characterization of high quality Graphene material
Abstract: With the enlargement of flexibility and suitability in material industries, high-performance thermal management materials are demanded with high thermal conductivity and electrical insulation are growing. In recent years, graphene has received a numerous focus from science community due to its high thermal conductivity and electrical insulation. Fabrication of light weight graphene and its derivatives as graphene Oxide (GO) and reduced graphene oxide (rGO) via facile processing method is yet a …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 25–36 Read article
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Recent Advances in Polymer Analysis and Characterization Techniques for High-Performance Materials
Abstract: Polymers play a vital role in various fields, from biomedical engineering to energy storage. Developing high-performance polymers requires a deep understanding of their structure, properties, and behavior. This review paper delves into recent advancements in polymer analysis and characterization techniques. This paper is a comprehensive bibliometric analysis which investigates the research landscape of geopolymer concrete incorporating construction and demolition waste (CDW) by analyzing 389 publications from the Web of Science …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 76–93 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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Comparative Investigation on Mechanical Properties of AMCs Fabricated through Liquid and Solid-State Fabrication Process
Abstract: This current research work is primarily focused on comparative experimental study on effect of two distinct fabrication process routes i.e. liquid state and solid state process and their corresponding parameters on microstructure and micro-hardness properties of Aluminium matrix composites (AMCs). In this work, AMCs were fabricated by reinforcing Al2O3 powder materials of 5, 10 and 15 wt.% into pure Aluminum (Al) matrix phase through two distinct processes; liquid state (stir …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 202–215 Read article
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Fluid Dynamics of a Stressed Freshwater Lens: Integrated Flow Modeling and Pathways for Material-Centric Interventions in Khadir Island, Gujarat
Abstract: This study applies principles of fluid dynamics and porous media mechanics to analyze the behavior and sustainability of the freshwater lens in Khadir Island, an arid sedimentary island in Gujarat, India. We develop an integrated fluid flow model that couples surface hydrology with aquifer dynamics to quantify recharge fluxes, extraction stresses, and hydraulic responses. Using 11-year hydro-meteorological data (2011–2021) and sectoral demand projections, we characterize the island’s water budget through …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 12–29 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
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 Read article
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Neuro-Symbolic Agentic AI for Autonomous Scientific Discovery: Integrating Deep Reinforcement Learning, Quantum Simulation, and XAI-Audited LLM Hypothesis Generation in Drug Target Identification
Abstract: The exponential growth of multi-omics data and the increasing complexity of disease-associated protein interactomes have rendered conventional drug target identification pipelines computationally and epistemologically inadequate. This paper presents the Neuro-Symbolic Agentic AI for Scientific Discovery (NS-AASD) framework, a unified architecture that cohesively integrates deep reinforcement learning (DRL) exploration strategies, variational quantum simulation (VQS) of protein conformational dynamics, and XAI-audited large language model (LLM) hypothesis generation within an autonomous scientific discovery …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 Read article
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Transfer Learning Based High-Precision Multi-Class Object Detection for Real-Time UAV Autonomous Landing via YOLOv8l in Unstructured Scenarios
Abstract: A significant challenge for autonomous drone landings in unstructured environments is that of reliably detecting and identifying objects in real-time to ensure safety and accuracy of the landing area. This paper presents a well-founded method for solving this problem using the YOLOv8l object detection framework to detect landing zones, obstacles and people in the relevant vicinity of the landing area. The dataset used for the training of the model contained …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 2, 2026 Read article
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Maternal and Infant Pollutant Exposure through Breastfeeding in Industrial Punjab
Abstract: Because of their lasting presence, bioaccumulation in the food chain and/or potential for transferring to infants through breastfeeding, environmentally persistent chemical pollutants, such as per- and polyfluoroalkyl compounds (PFAs), pesticides, heavy metals and industrial emissions, represent significant public health threats. A study was conducted using a structured questionnaire to gather information about maternal demographics (age, education, marital status), how mothers were exposed to environmental contaminants through occupational activities, the ways …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 2, 2026 Read article
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Resilient Shell-Based Frameworks for Edge and IoT Systems: A Comprehensive Analysis of Lightweight Automation in Distributed Environments
Abstract: Edge computing and Internet of Things (IoT) deployments require automation solutions that minimize resource use while supporting real-time processing and intermittent connectivity. This study investigates shell-based frameworks for managing distributed edge and IoT systems, with emphasis on sensor integration, live monitoring, and fault recovery. Drawing from 200 real-world deployment cases across smart city, healthcare, and industrial domains, the analysis compares shell scripting directly against containerized approaches (e.g., Docker with lightweight …
Published in Journal of Advances in Shell Programming · Vol. 13, Issue 1, 2026 · pp. 01–07 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