Search
858 articles for “Diversity”
-
White-Rot Fungi-Based Bioprocessing for Circular Bioeconomy & Valorization of Lignocellulosic Waste
Abstract: The escalating global demand for sustainable resource management and the imperative to reduce dependence on fossil-based products have positioned the circular bioeconomy as a transformative paradigm for the 21st century. Lignocellulosic biomass, generated abundantly as agricultural and forestry residues, constitutes one of the most underexploited renewable carbon sources on Earth, yet its recalcitrant structure, interlinking cellulose, hemicellulose, and lignin, has long impeded its efficient valorization. White-rot fungi (WRF), predominantly belonging …
Published in International Journal of Fungi · Vol. 3, Issue 2, 2026 Read article
-
Entomo-Analytics: Insect Behavioral Intelligence for Climate-Smart Environmental Monitoring Systems
Abstract: Rapid environmental change driven by climate variability, urbanization, and ecological degradation has intensified the need for innovative monitoring systems capable of providing real-time ecological intelligence. Traditional environmental monitoring methods often rely on satellite imaging and stationary sensors, which may lack fine-scale biological sensitivity. In contrast, insects—due to their abundance, ecological diversity, and rapid responsiveness to environmental shifts—offer a powerful yet underutilized source of bio-sensing data. This paper introduces the concept …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 2, 2026 · pp. 17–26 Read article
-
A Review of AI-Based Intrusion Detection Systems for Mobile Ad Hoc Networks (MANETs)
Abstract: Mobile Ad Hoc Networks (MANETs) comprise wireless networks that lack any conventional infrastructure . Their chief features include highly changing network topologies, lack of centralized administration, and open nature of communication, which collectively result in making MANETs of the wireless kind very susceptible to a diverse range of cyber-attacks like blackhole, greyhole, wormhole, flooding, Sybil and denial-of-service (DoS) among others. Conventionally, Intrusion Detection Systems (IDS) relying on static rule-based methods …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
-
Task Scheduling in Cloud Computing using Hippopotamus Optimization Algorithm
Abstract: Cloud computing, which provides remote clients with on-demand services, has emerged as a crucial component of contemporary technology. It is still difficult to schedule tasks effectively in such diverse and dynamic situations. Motivated by the hippopotamus's balanced exploration and exploitation behavior, this research suggests a unique work scheduling method utilizing the hippopotamus optimization algorithm (HOA). In order to maximize resource usage and throughput while minimizing makespan and execution cost, the …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 2, 2026 · pp. 22–29 Read article
-
Semiring-Weighted Automata and Recursive Path Counting for Multi-State Reliability in Discrete Infrastructures
Abstract: Multi-state infrastructures such as communication backbones, microgrids, warehouse routing systems, and sensor-actuator pipelines evolve through discrete event sequences rather than through a single binary "working/failed" transition. This paper develops a semiring-weighted automata framework for reliability analysis in which state changes, repair actions, and degraded operating modes are represented by weighted transitions on a finite automaton. A path valuation is defined over an additively idempotent reliability semiring and extended to a …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 2, 2026 · pp. 30–36 Read article
-
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
-
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
-
Factors Affecting Coffee Market Supply of Smallholder Farm Household: The Case of Gimbo District Kaffa Zone, Southwest Ethiopia.
Abstract: Abstract This study analyzes the factors influencing the market supply of coffee in selected districts of Gimbo District, Kaffa Zone, and Southwest Ethiopia. Coffee is Ethiopia’s most significant export crop, contributing substantially to the country’s GDP and exhibiting broad genetic diversity. Despite the high production potential of the district, the marketing system remains predominantly conventional, forcing producers to sell through traditional transaction routes that do not offer premium prices, thereby …
Published in Research & Reviews : Journal of Agricultural Science and Technology Read article
-
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
-
Molecular Docking Analysis of Phytocompounds from Ficus hispida Aagainst Epidermal Growth Factor Receptor Kinase Domain
Abstract: The Epidermal Growth Factor Receptor (EGFR) kinase domain plays a key role in cancer, as it promotes tumour growth and helps cancer cells survive, making it an important focus for developing treatments. Through comprehensive computational analysis, this study investigates the anticancer potential of phytocompounds from Ficus hispida, a medicinal plant renowned for its diverse bioactive compounds, as novel EGFR inhibitors. Molecular docking techniques using Py Rx software were employed to …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 3, Issue 2, 2025 Read article
-
Molecular Docking Analysis of Phytocompounds from Ficus hispida Against Epidermal Growth Factor Receptor Kinase Domain
Abstract: The Epidermal Growth Factor Receptor (EGFR) kinase domain plays a key role in cancer, as it promotes tumour growth and helps cancer cells survive, making it an important focus for developing treatments. Through comprehensive computational analysis, this study investigates the anticancer potential of phytocompounds from Ficus hispida, a medicinal plant renowned for its diverse bioactive compounds, as novel EGFR inhibitors. Molecular docking techniques using Py Rx software were employed to …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 3, Issue 2, 2025 · pp. 48–62 Read article
-
Leveraging AI and Machine Learning for Early Prediction and Prevention of Non- Communicable Diseases in Resource-Limited Settings
Abstract: Populations in these regions face persistent structural barriers, such as underdeveloped healthcare infrastructure, shortages of trained health professionals, and fragmented or incomplete health information systems. These limitations delay timely diagnosis, restrict access to preventive care, and compromise effective disease management. In recent years, rapid progress in artificial intelligence (AI) and machine learning (ML) has opened promising avenues to mitigate these challenges. Practical applications already emerging include mobile health platforms for …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 15, Issue 1, 2026 · pp. 9–15 Read article
-
Host Invasion to Immune Evasion: Emerging Concepts in Pathogen Virulence Strategies
Abstract: The interaction between hosts and pathogens represents a continuous evolutionary struggle, shaping both microbial virulence and host immunity. Pathogens employ diverse strategies to evade immune surveillance, ranging from antigenic variation and molecular mimicry to hijacking of host immune checkpoints. Simultaneously, hosts refine innate and adaptive immune mechanisms to counteract infection and limit damage. This reciprocal adaptation, known as host–pathogen coevolution, influences pathogen persistence, transmission, and fitness, while also sculpting immune …
Published in International Journal of Pathogens · Vol. 3, Issue 1, 2026 Read article
-
Solanum viarum Dunal: Ethnomedicinal Importance, Phytochemical Profile and Pharmacological Potential — A Comprehensive Review
Abstract: Solanum viarum Dunal, commonly known as tropical soda apple or Sodom apple, is a medicinally important plant belonging to the family Solanaceae. The plant has been widely utilized in traditional medicine systems for the treatment of fever, cough, skin disorders, inflammation, gastrointestinal ailments, and microbial infections. The present review comprehensively summarizes the ethnomedicinal importance, phytochemical profile, pharmacological activities, and pharmaceutical significance of S. viarum. Literature reports indicate that the plant …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 13, Issue 3, 2026 Read article
-
Genomic Selection for Grain Yield in Wheat Using Machine Learning on DArT Molecular Markers: A Comparative Evaluation Across Multi-Environment Trials
Abstract: Genomic selection (GS) predicts complex quantitative traits directly from genome-wide molecular markers, bypassing the need for extensive phenotypic trials and accelerating plant breeding cycles. We conducted a comparative evaluation of seven regression approaches — ridge regression (the machine-learning equivalent of RR-BLUP), Lasso, Elastic Net, Partial Least Squares, linear Support Vector Regression, Random Forest, and Gradient Boosting — for predicting grain yield from 1,279 Diversity Array Technology (DArT) molecular markers genotyped …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 Read article
-
Graphene Based Electronic Skin for Wearable Health Monitoring and Human– review on Machine Interaction, Materials, Structures and AI Integration
Abstract: Graphene-based electronic skin (e-skin) has emerged as a transformative technology for next-generation wearable health monitoring and advanced human–machine interaction (HMI). Owing to its outstanding electrical conductivity, mechanical flexibility, atomic-scale thickness, and biocompatibility, graphene enables the fabrication of ultrathin, conformal, and multifunctional sensors capable of mimicking the sensory functions of natural human skin. Over the past decade, research in this domain has progressed rapidly across four interconnected fronts: material synthesis and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
-
Automated Machine Learning System for Model Selection and Hyperparameter Optimization
Abstract: The proliferation of machine learning applications in various scientific and industrial domains has given rise to an urgent need for developing principled, automated techniques for optimal architecture selection and hyperparameter tuning for machine learning models without human expert intervention. In this paper, we introduce the Automated Machine Learning System for Model selection and hyperparameter Optimization (AMLSMO)—a state-of-the-art, all-encompassing AutoML system that combines the power of meta-learning-based warm-starting, Bayesian Optimization with …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 15–23 Read article
-
Veterinary Mycology: Fungal Infections in Livestock and Companion Animals
Abstract: Fungal infections represent a significant yet often underestimated challenge in veterinary medicine, affecting both livestock and companion animals. Veterinary mycology encompasses a diverse group of pathogens, including yeasts, molds, dimorphic fungi, and dermatophytes, that can cause localized or systemic diseases with substantial health, economic, and zoonotic implications. In livestock species, such as cattle, sheep, goats, poultry, pigs, horses, and camels, fungal infections manifest as dermatophytosis, mycotic mastitis, aspergillosis, keratomycosis, and …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 14, Issue 3, 2025 · pp. 44–51 Read article