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383 articles for “evaluation strategies”
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DFT/Data Guided Predictive Modelling of Absorption Maxima in the OLED Rubrene Derivatives
Abstract: This study investigates the optical properties of rubrene derivatives to develop an accurate predictive model for absorption maxima using computational chemistry and chemoinformatic techniques. We benchmarked various quantum chemical methods, identifying that the M06-2X/aug-cc-pVDZ method in dichloromethane (DCM) provided the strongest correlation with experimental data. Key molecular descriptors such as band gap, ionization potential, and electrophilicity index were calculated and analyzed using principal component analysis (PCA) to identify significant factors …
Published in International Journal of Cheminformatics · Vol. 4, Issue 1, 2026 · pp. 41–56 Read article
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A Descriptive Study to Assess the Effectiveness of Instructional Modules on Knowledge Regarding Challenges Faced by Rural Community People on Cancer Preventive Measures Among People Living in the Selected Community Area, Palakkad District
Abstract: This study employed a quantitative approach with a descriptive study design to assess the knowledge and challenges faced by rural communities regarding cancer preventive measures. A total of sixty participants were selected using purposive sampling, which is non-probability based. Data were gathered through a semi-structured questionnaire to capture demographic information, alongside a structured questionnaire specifically designed to evaluate knowledge on cancer prevention challenges within the rural population. The collected data …
Published in International Journal of Oncological Nursing and Practices · Vol. 2, Issue 2, 2024 · pp. 26–33 Read article
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Integrating Livestock for Enhancing Sustainability of Soil, Water and Agroecosystem: Implications from a One Health Perspective
Abstract: Livestock systems play a pivotal role in sustaining environmental health, enhancing ecosystem services, and supporting agricultural productivity. Well-managed integration of livestock into agroecosystems contributes to soil fertility through organic matter deposition, microbial stimulation, and nutrient cycling, while improving soil structure and long-term productivity. Grazing and pasture management regulate water infiltration, retention, and hydrological balance, mitigating soil erosion and enhancing water-use efficiency. Livestock also promote biodiversity by maintaining habitat heterogeneity, facilitating …
Published in International Journal of Sustainability · Vol. 3, Issue 1, 2026 · pp. 1–11 Read article
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GreenDiagnosis: Intelligent Crop Disease Detection Using Deep Learning Algorithm
Abstract: Agriculture in parts of India relies on labour-intensive traditions, maintaining disease-free crops is crucial. Manual methods can be inaccurate, driving farmers towards AI-based solutions. AI offers a proactive approach to address real-time farming challenges. Among these is the invasion of pests, which diminishes crop quality. Combating pest-related diseases poses a challenge, prompting innovation. Effective surveillance and early detection of crop diseases play a pivotal role in ensuring global food security …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 8–18 Read article
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Web Security: Crafting Fortified Online Platforms
Abstract: With incidents of cyber-attacks on websites and breaches of sensitive data on the rise, adopting secure coding or development practices to build strong web applications is long overdue. These practices encompass a variety of strategies, including but not limited to, input validation to prevent SQL injection and XSS attacks, secure session management, encryption of sensitive data, and the implementation of robust authentication and authorization mechanisms. This approach not only fortifies …
Published in Journal of Web Engineering & Technology · Vol. 11, Issue 1, 2024 · pp. 27–31 Read article
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Advancements in Solubility Enhancement Through Liquisolid Compact Technology: A Comprehensive Review
Abstract: The study examines Liquisolid Compact Technology as an innovative approach for improving the bioavailability and solubility of drugs that are poorly soluble in water. Liquisolid systems, comprising solid carriers and liquid drugs, offer advantages such as improved drug release and bioavailability, reduced manufacturing costs, and controlled drug delivery. The technique involves dissolving or suspending the drug in non-volatile solvents, adding carrier materials, super disintegrants, and coating materials, and then compressing …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 11, Issue 2, 2024 · pp. 25–34 Read article
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Advancements in AI-Driven Sound Spectrogram Analysis: From Deep Learning to Quantum and Neuromorphic Processing
Abstract: The rapid advancement of artificial intelligence (AI) has significantly reshaped the field of audio signal processing, with sound spectrogram analysis emerging as a central research focus. Spectrograms provide a rich time–frequency representation of audio signals, making them particularly suitable for data-driven learning approaches. This paper presents an in-depth and original review of modern AI-based techniques applied to spectrogram analysis, highlighting their growing impact across critical application areas such as healthcare …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 1, 2026 · pp. 01–06 Read article
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Protective Effects of Phyllanthus amarus and Sida acuta Extracts Against DoxorubicinInduced Toxicity in Chick Embryo Models
Abstract: Chemotherapy remains a cornerstone of cancer treatment, yet severe side effects, including cardiotoxicity often limit its clinical application. Doxorubicin, a widely used anticancer drug, is particularly associated with dose-dependent toxicities that impact the heart, liver, and kidneys. In search of complementary approaches to mitigate these adverse effects, this study evaluates the protective potential of hydro-alcoholic extracts from Phyllanthus amarus and Sida acuta, two medicinal plants with known antioxidant and anti-inflammatory …
Published in Research and Reviews: A Journal of Toxicology · Vol. 15, Issue 2, 2025 Read article
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Tailoring The Electrochemical Interface of Graphene–Gd₂O₃ Nanocomposites for Advanced Energy Storage
Abstract: Graphene–Gd₂O₃ nanocomposites were synthesized by incorporating varying concentrations of reduced graphene oxide (rGO) into Gd₂O₃ using a straightforward room-temperature solution method. The composites were analyzed using various distinct characterization techniques, including X-ray diffraction (XRD), Fourier-transform infrared (FTIR) spectroscopy, Raman spectroscopy, scanning electron microscopy (SEM), transmission electron microscopy (TEM), and X-ray photoelectron spectroscopy (XPS). Electrochemical measurements, particularly cyclic voltammetry (CV), demonstrated that the incorporation of graphene significantly enhanced the electrochemical performance …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 369–388 Read article
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Exploring the Intersection of AI Network Pharmacology and Ayurveda: Innovations in Traditional Medicine
Abstract: Integrative frameworks that integrate traditional medicine and modern computer research are increasingly important for advancing evidence-based, individualized healthcare. One interesting strategy is the combination of Ayurveda, network pharmacology, and artificial intelligence (AI). AI expands the capability by allowing for the quick analysis of biomedical big data, the identification of therapeutic trends, and the optimization of treatment plans. Ayurveda, with its long-standing emphasis on individualized care, holistic balance, and natural remedies, …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 14, Issue 3, 2025 · pp. 92–98 Read article
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Waste-Heat Recovery Systems for Sustainable Industrial Energy Management
Abstract: Industrial processes consume vast amounts of energy, often resulting in substantial heat losses to the environment. Waste-heat recovery (WHR) systems provide a viable solution to harness this otherwise lost thermal energy, improving overall energy efficiency, reducing operational costs, and contributing to sustainable industrial practices. This study investigates the design, implementation, and optimization of waste-heat recovery systems across various industrial sectors, including power generation, chemical processing, cement production, and steel manufacturing.The …
Published in Journal of Water Pollution & Purification Research · Vol. 13, Issue 1, 2026 · pp. 78–84 Read article
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Machine Learning Based House Price Forecasting
Abstract: This research endeavours to craft a predictive model leveraging machine learning to estimate the market value of houses in Delhi. By integrating Python and its powerful libraries, pandas for data processing, Plot for interactive visualizations, scikit-learn for implementing machine learning algorithms, XGBoost for boosting the model's prediction accuracy, and to evaluate the model's performance cross-validation techniques are used. An interactive user interface is created using a Flask web application to …
Published in Current Trends in Information Technology · Vol. 14, Issue 1, 2024 · pp. 5–11 Read article
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Assessing The Efficacy of Modern Biodiversity Conservation Approaches: Advancements and Challenges
Abstract: This study aims to offer valuable insights by investigating the advancements and challenges inherent in these strategies. Its objective is to assess whether these contemporary approaches have truly contributed to enhancing biodiversity conservation and fostering the sustainable utilization of resources, as compared to conventional historical practices. This study focuses on the different approaches of conservation and advancements, challenges and comparative analysis of biodiversity conservation. The goal of the biodiversity project …
Published in Research & Reviews : Journal of Ecology · Vol. 13, Issue 1, 2024 · pp. 1–6 Read article
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An Exploratory Study to Assess the Knowledge and Attitude of Mothers Regarding the Immunization Status of Their Children Under Five Years of Age in Selected Area of Ludhiana, Punjab
Abstract: Children under five years of age are vulnerable to get various diseases which may lead to high mortality rate in children below five. One of the most effective and economical public health strategies against disease is immunization. The current study sought to determine mothers' knowledge and attitudes about immunizations for their children under five. Specifically, the study's objectives were to: 1. Determine mothers' knowledge and attitudes about immunizations for their …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 13, Issue 2, 2024 · pp. 1–7 Read article
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Knowledge, Attitude, and Practice Regarding Breast Cancer and Its Prevention Among Adolescent School-Going Girls
Abstract: Introduction: Breast cancer claims the lives of over 500,000 women globally each year. In low-resource settings, most women are diagnosed at an advanced stage of the disease, resulting in low 5-year survival rates, typically ranging between 10 and 40%. However, in regions where early detection and basic treatment are both available and accessible, the 5-year survival rate for early-stage localized breast cancer can exceed 80%. Objectives of the Study: The …
Published in International Journal of Community Health Nursing And Practices · Vol. 3, Issue 2, 2025 · pp. 1–9 Read article
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Enhancing the Bioavailability of Polyphenols: A Comprehensive Review
Abstract: The polyphenolic compounds are abundantly found in different plant parts including fruits, leaves, stem and seeds, and are known for possessing a wide range of biological activities. These include antioxidant, antimicrobial, anti-inflammatory, anticancer, antidiabetic, cardioprotective, and neuroprotective effects. Their functional relation with their structure highlights the significant therapeutic potential. As a result, the polyphenols are being further being exploited for applications in functional foods, pharmaceuticals, and targeted drug delivery. Despite …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 15, Issue 2, 2026 · pp. 37–51 Read article
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Evaluating the behavior of Concrete after addition of stone dust to steel fiber reinforced concrete
Abstract: In contemporary construction practices, the utilization of concrete has become indispensable for various civil engineering projects worldwide. Concrete, augmented with both natural and artificial fibers, plays a crucial role in bearing compressive loads and efficiently transferring structural loads to the reinforcement and foundation. The current research delves into exploring the transformative effects of different mix designs, incorporating varying percentages of steel fibers, on the behavior of concrete. The study encompasses …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 12–19 Read article
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Botnet Beacon: Unveiling Covert Networks with Advanced AI Detection Strategies
Abstract: Securing information technology systems is paramount in today's interconnected world, where the reliability and security of networks and applications are of utmost importance. In this context, the development of a Botnet Detection System (BDS) that harnesses the power of AI classification algorithms becomes a critical endeavor. The primary objective of this work is to construct a comprehensive framework for a BDS that can efficiently gather network data and subject it …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 12, Issue 2, 2024 · pp. 26–32 Read article
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Inhibition of PI3K/Akt/mTOR Signaling Pathway by Vitis Vinifera Phytocompounds: A Promising Strategy for Supressing Colorectal Cancer Growth and Metastasis
Abstract: Objectives: Colorectal cancer was not typically identified a few decades ago. Today, with almost 900 000 fatalities each year, it is the fourth most dangerous cancer in the world. Colorectal cancer is responsible for about 10% of all cancer diagnoses annually and cancer-related deaths worldwide. It is the second most common type of cancer in women and the third most common type in men. Incidence and death are roughly 25% …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 1, Issue 2, 2023 · pp. 64–75 Read article
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Proposed System: Quantum Computing Processor Based on Linear Number Relation
Abstract: This paper details the design and implementation of a specialized quantum processor tailored for efficiently evaluating custom mathematical formulas. Optimized to perform a specific set of arithmetic and logical operations, this processor delivers a stable and high-performance computing platform. Unlike general-purpose quantum processors, which are designed for versatility across a wide range of algorithms, this dedicated processor aims to enhance performance and accuracy for a targeted set of tasks. The …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 3, 2024 · pp. 24–32 Read article