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642 articles for “Demonstrative research”
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Exploring the Concept of Parental Influence and Its Consequences in Alex Michaelides’s The Silent Patient
Abstract: The present paper explores the relationship between attachment theory, parental alienation (PA), and the Parental Acceptance and Rejection Theory (PART), as illustrated by Theo Faber and Alicia Berenson in "The Silent Patient." The definition of PA and its effects on child development are covered first, with a focus on the importance of attachment types and parental involvement. Echoing the conclusions of attachment theorists and empirical research, the essay emphasizes how …
Published in Recent Trends in Social Studies · Vol. 1, Issue 2, 2024 · pp. 24–29 Read article
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Heterocyclic Compounds in Thin Film Coatings: A Review on Anticorrosion and Antimicrobial Properties.
Abstract: Heterocyclic compounds have gained significant attention in thin film coatings due to their exceptional chemical versatility and functional properties. These compounds, characterized by the presence of heteroatoms in their ring structures, play a crucial role in enhancing the anticorrosion and antimicrobial performance of protective coatings. This review explores the recent advancements in the application of heterocyclic compounds for corrosion resistance and microbial inhibition, emphasizing their mechanisms of action, effectiveness, and …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 12, Issue 1, 2025 · pp. 16–21 Read article
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MentaLLaMA: Advancing Mental Health Insights with Instruction-Finetuned Large Language Models
Abstract: The growing prevalence of mental health challenges in contemporary society has highlighted the urgent need for advanced, interpretable, and reliable artificial intelligence solutions that can support mental health assessment and intervention. In response to this need, this research introduces a novel collection of open-source, instruction-tuned large language models (LLMs) specifically designed to facilitate transparent and accurate mental health evaluations. Leveraging a newly developed dataset, which integrates multiple tasks and diverse …
Published in Recent Trends in Programming languages · Vol. 12, Issue 3, 2025 · pp. 08–15 Read article
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Assessing Concrete Strength Through Substituting Coarse Aggregate with Steel Slag and Cement with Bentonite Powder
Abstract: This study investigates the strength characteristics of concrete by partially replacing cement with bentonite powder and coarse aggregate with steel slag. The research aims to evaluate the mechanical performance of concrete through compressive strength, split tensile strength, and flexural strength tests. Bentonite powder is substituted at varying levels of 0, 10, 20, and 30%, while steel slag is incorporated consistently at 60% as a replacement for coarse aggregate. The objective …
Published in Journal of Construction Engineering, Technology & Management · Vol. 15, Issue 2, 2025 · pp. 1–8 Read article
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Effectiveness of Spencer Technique of Mobilization on Adhesive Capsulitis: A Single Case Study
Abstract: Background: Frozen shoulder, or adhesive capsulitis, is a condition characterized by pain, restricted motion, and stiffness in the shoulder joint. This occurs due to inflammation and the thickening of the joint capsule. The Spencer technique, is a manual therapy method consisting of seven steps designed to improve shoulder function by enhancing joint mobility, circulation, and lymphatic flow. These movements target shoulder extension, flexion, circumduction, abduction, and adduction, to reduce stiffness …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 2, Issue 2, 2024 · pp. 14–20 Read article
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A Polymer-Based Recommender System for Precision Agriculture: Enhancing Crop Yield Analysis Using IoT Technology
Abstract: This study introduces an innovative recommender system that employs polymer-based sensors combined with advanced data analytics to deliver personalized recommendations for crop management optimization. The use of polymer-based materials in sensor design allows for the creation of durable, cost-effective, and efficient sensors, well-suited for the challenging conditions typical in agricultural environments. These sensors are designed to withstand variations in numerous factors like temperature of the surrounding, humidity level, and at …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 86–95 Read article
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Advancements in Photocatalysis: Applications in Environmental Remediation
Abstract: The study of radioluminescence, a phenomenon where materials emit light upon exposure to ionizing radiation, has expanded significantly in recent years, finding applications in various fields, including environmental remediation, radiation detection, and dosimetry. This paper reviews recent advancements in radioluminescent technologies, particularly focusing on Radioluminescent Isotope Cells (RLICs) and semiconductor colloidal quantum dots (cQDs). The use of RLICs, particularly those based on 63Ni, demonstrates enhanced energy conversion efficiency through optimized …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 2, Issue 2, 2024 · pp. 39–44 Read article
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Squeeze Casting of Hybrid Aluminum Matrix Composites: A Critical Review of Process Optimization, Reinforcement Strategies, and Performance Outcomes
Abstract: Increasing demand for lightweight, performance-oriented components in automotive, aerospace, and defense industries has driven advancements in squeeze casting, a hybrid technique merging forging and die-casting advantages to produce near-net-shape aluminum matrix composites (AMCs) with superior mechanical-tribological properties. This review critically examines the interplay of process parameters (e.g., squeeze pressure: 70–150 MPa, melt temperature: 650–800°C), reinforcement characteristics (volume fraction ≤10%, particle size: 10–71µm), and interfacial engineering strategies (flux-assisted bonding, ultrasonic dispersion) …
Published in Journal of Materials & Metallurgical Engineering · Vol. 15, Issue 2, 2025 · pp. 52–60 Read article
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Surajmukhi (Helianthus annuus L.): Medicinal Importance in Unani Literature and Modern Evidence
Abstract: Helianthus annuus L. (Sunflower), belonging to the family Asteraceae, is a well-recognized plant in both traditional and modern systems of medicine. In Unani medicine, it is described under the name “Shams-ul-Nahar,” attributed with specific Mizaj (temperament) and pharmacological actions. The plant is considered to possess a hot and moist temperament (Har Ratab), and different parts, including its seeds, oil, and leaves, have been employed in classical formulations. Sunflower seeds are …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 14, Issue 3, 2025 · pp. 52–65 Read article
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Optimizing MEMS-Based Energy Harvesting with Piezoelectric and Thermoelectric Polymer Composites
Abstract: This research explores the development and performance of polymer-based composites, particularly Polyvinylidene Fluoride (PVDF) and Electro active Polymers (EAPs), in MEMS-based energy harvesting systems. PVDF, a flexible piezoelectric material, is combined with ceramic powders such as lead zirconatetitanate (PZT) to enhance its piezoelectric response while retaining mechanical flexibility. EAPs, including ionic polymer-metal composites (IPMCs) and dielectric elastomers, are investigated for their ability to generate electrical power from mechanical deformations, offering …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 221–237 Read article
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Mindwell: A Psychological Guide for Well-being
Abstract: Mental health is a crucial aspect of overall well-being, yet access to professional therapy remains a significant challenge for many individuals due to various barriers, including cost, availability, and stigma. This research aims to develop an accessible and effective mental health therapy chatbot, named Mindwell Psychology, leveraging the power of large language models (LLMs) and state-of-the-art natural language processing techniques. The primary objective of this study is to create a …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 63–77 Read article
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1D-Nano-Scale Porous Silicon (1D-Psi) as Optical Sensor Device
Abstract: This research article embarks on a thorough experimental inquiry into the detection of kerosene adulteration in petrol, employing a sophisticated one-dimensional microcavity of nano-scale porous silicon (1D-PSMC) sensing device. The significance of this investigation stems from the detrimental consequences of petrol adulteration, which not only aggravates environmental pollution but also jeopardizes the functionality and durability of machinery components, thereby posing significant economic and environmental challenges. The 1D-PSMC, designed to function …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 69–75 Read article
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Using Machine Learning for Key phrase Extraction in Digital Libraries
Abstract: Machine learning has revolutionized various aspects of information retrieval, including key phrase extraction in digital libraries. Key phrase extraction is crucial for summarizing and categorizing vast amounts of textual data, enabling efficient search and retrieval processes. This study explores the application of machine learning techniques for automatic key phrase extraction in digital libraries. We review various supervised and unsupervised learning algorithms, including deep learning models, that are employed to identify …
Published in International Journal of Cheminformatics · Vol. 1, Issue 2, 2023 · pp. 8–13 Read article
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Debris Flows in Mining Areas: Risk Assessment and Mitigation Strategies for Mine Waste Management
Abstract: This study investigates the dynamics and risks associated with debris flows, focusing on the differentiation between natural and mine-generated debris, particularly in storm-affected areas. Mine debris flows, frequently exacerbated by heavy rainfall and human activities, are a major concern due to their destructive potential and environmental impact. The research highlights key factors contributing to debris flow hazards, such as sediment composition, flow velocity, and terrain susceptibility. Additionally, the study explores …
Published in International Journal of Minerals · Vol. 1, Issue 2, 2024 · pp. 1–7 Read article
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Repurposing Liv-52 For Primary Sclerosing Cholangitis: A Computational Docking And Pharmacokinetic Study To Evaluate Its Bile Flow-Regulating Potential
Abstract: Primary Sclerosing Cholangitis (PSC) is a long-term liver disease where the bile ducts become inflamed and scarred over time. This scarring can block the flow of bile, leading to liver damage and, eventually, liver failure. The etiology of PSC remains largely unknown, and current treatment options are limited, highlighting the need for novel therapeutic strategies. This study aims to repurpose Liv-52, a traditional herbal formulation known for its hepatoprotective properties, …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 2, 2025 Read article
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Luxury in Sustainability: Designing Eco-Friendly Yet Opulent Interiors
Abstract: This report explores the evolving relationship between luxury and sustainability in interior design, challenging the misconception that opulence and environmental responsibility are incompatible. It examines how high-end residential, commercial, and hospitality spaces integrate sustainable materials, energy-efficient technologies, and ethical sourcing to create refined yet eco-conscious interiors. Through detailed case studies, including Bloomberg European Headquarters, Six Senses Zil Pasyon, and Passive House designs, the study highlights innovative approaches to reducing carbon …
Published in International Journal of Architectural Design and Planning · Vol. 3, Issue 2, 2025 · pp. 19–45 Read article
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Gene Expression Profiling in Autism Spectrum Disorder: A Microarray Analysis Using Gse42133
Abstract: Autism Spectrum Disorder (ASD) is a diverse neurodevelopmental disorder characterized by difficulties in social interaction, communication impairments, and restricted or repetitive patterns of behavior. Despite its increasing prevalence, the underlying molecular mechanisms remain poorly understood. Advances in transcriptomics offer opportunities to investigate the gene expression changes that may contribute to ASD pathophysiology. In this study, the microarray dataset GSE42133 was analyzed, which comprises gene expression profiles from peripheral blood samples …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 1, 2026 · pp. 37–48 Read article
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Estimation of Alogliptin and Dapagliflozin in Synthetic Mixture by RP-HPLC Method
Abstract: The primary objective of the proposed research was to develop and validate analytical methods for the simultaneous quantification of Alogliptin and Dapagliflozin in a synthetic mixture. Alogliptin and Dapagliflozin are medications used for managing diabetes, with Alogliptin inhibiting the enzyme Dipeptidyl peptidase-4 and Dapagliflozin belonging to the class of sodium-glucose cotransporter 2 inhibitors. High-performance liquid chromatography method development was conducted using a C18 column (250 mmX4.6 mm, 5 μm particle …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 2, 2024 · pp. 37–46 Read article
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Integrating Building Information Modelling in the Pursuit of Sustainability: A Systematic Review
Abstract: Building Information Modelling (BIM) technologies drive sustainable practices throughout the project lifecycle. It highlights how BIM serves as a powerful tool for enhancing project efficiency, reducing waste, and improving resource management. Study different phases of implementation of BIM in sustainable development. Role of BIM in Energy efficiency, Waste management, Carbon footprint reduction, Water conservation and Project life cycle management. The paper reviews various studies that demonstrate the integration of BIM …
Published in Journal of Construction Engineering, Technology & Management · Vol. 15, Issue 3, 2025 · pp. 76–92 Read article
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Carbon Capture Using Polymer Based Membranes - A Green Solution to Climate Change
Abstract: Growing concerns over greenhouse gas emissions have intensified the search for efficient and eco-friendly carbon capture technologies. This study explores the potential of innovative polymer-based membranes as a sustainable approach to controlling CO2 emissions. The paper outlines the fundamental mechanisms of gas transport in membranes, reviews recent advancements in polymer material design, and examines various membrane configurations suited for industrial applications. Special attention is given to newly developed high-performance polymers …
Published in International Journal of Membranes · Vol. 2, Issue 2, 2025 · pp. 13–18 Read article