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122 articles for “Seasonal”
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Assessment of Irrigation Access, Challenges and Opportunity in Wolaita, Kembata Tembaro and Hadiya Zones of Snnppr, Ethiopia
Abstract: In the Wolaita, Kembata Tembaro, and Hadiya zones, this study evaluated irrigation access and the difficulties that come with it. The data in this study were analyzed using an econometric model in addition to descriptive statistics. The study region yielded both primary and secondary data. For this investigation, the multi-stage sampling technique was used. Using a pre-tested questionnaire, 139 sample household heads were chosen at random and questioned. To support …
Published in International Journal of Rural and Regional Development · Vol. 3, Issue 1, 2025 · pp. 18–28 Read article
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Integrating Atmospheric Science: Understanding Greenhouse Gases, Aerosols, and Air Quality Dynamics
Abstract: Atmospheric science investigates the Earth’s atmospheric systems to understand their composition, dynamics, and the implications for climate, weather, and air quality. This review explores five primary areas within the field: atmospheric composition, atmospheric modeling, remote sensing, air pollution, and boundary layer dynamics, highlighting critical challenges and advancements. Rising levels of greenhouse gases (GHGs), including carbon dioxide and methane, continue to drive global warming, while feedback mechanisms—like cloud interactions and surface …
Published in International Journal of Atmosphere · Vol. 1, Issue 1, 2024 · pp. 32–35 Read article
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Low-cost Feed Resources for Sustainable Dairying: Exploring Conventional, Agro-Industrial, and Non-Conventional Feeds to Optimize Nutritional Adequacy
Abstract: This study explores the potential of cost-effective feed resources to enhance the sustainability of dairy farming by focusing on conventional, agro-industrial, and non-conventional feed alternatives. Rising feed costs remain a significant challenge =124ed5y7u-8 n dairy production, and optimizing feed efficiency is crucial for maintaining profitability and sustainability. Conventional feed resources, including roughages and pastures, provide the foundation for dairy cow diets, yet their nutritional content varies seasonally and geographically. Agro-industrial …
Published in Research & Reviews : Journal of Ecology · Vol. 14, Issue 2, 2025 · pp. 11–27 Read article
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Multimedia Technology in Healthcare: A Study
Abstract: The integration of multimedia technology is fundamentally transforming medical and surgical planning, moving beyond traditional methods to offer enhanced visualization, collaboration, and precision. This article explores the diverse applications of multimedia, including advanced imaging techniques, interactive simulations, and augmented/virtual reality, in optimizing pre-operative strategies, improving surgical outcomes, and enhancing medical education. By providing comprehensive overview, this analysis highlights the potential of multimedia technology to revolutionize the future of healthcare. For …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 1, 2025 · pp. 23–29 Read article
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Effect of Different Doses of Phosphorus on the Growth and Yield of Mung Bean (Vigna radiata L.)
Abstract: Phosphatic fertilizers play a vital role in enhancing mung bean production by not only improving crop yield but also increasing the quality of the produce. A field trial was done at the Nepal Polytechnic Institute research field to determine the effect of different levels of phosphorus on yield of Mung bean at Bharatpur, Chitwan during the summer season 2024. The test was carried out as per Randomized Complete Block Design …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 1–7 Read article
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Efficient Energy Management using Artificial Intelligence (AI) and Machine Learning (ML) in Chemical Industry
Abstract: The globe is moving toward higher usage of renewable energy sources, particularly solar and wind energy, as a result of depleting fossil fuel supplies and growing environmental concerns. There are several forecasting methods available for effective wind energy utilization. This review uses algorithms for predicting solar and wind energy as well as artificial intelligence (AI) techniques. A wind-coal coupling energy system planning scheme was designed to lower the high energy …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 2, 2025 · pp. 33–50 Read article
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Studies on Some Pyrgomorphinae (Pyrgomorphidae: Pyrgomorphoidea) of Bihar
Abstract: The subfamily Pyrgomorphinae belongs to the family – Pyrgomorphidae. Members of this subfamily have brightly colored bodies owing to which they are generally known as “gaudy grasshoppers”. It had been an expansive check for grasshoppers corresponding to diversified and rich foliage as well as different ecological conditions, downfall, moisture and temperature. Surveys were conducted in colorful seasons of important agrarian areas in different regions of Patna quarter for data collection …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 15, Issue 2, 2025 · pp. 26–33 Read article
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The Effect of Salt Stress and Selenium on Some Morphological and Flowering Traits of Petunia Plants ( Petunia hybrida L.)
Abstract: This study carried out in one of the nurseries of Kufa city/Iraq during the winter season of 2024 to study the effect of salt stress caused by sodium chloride at concentrations (0, 25, 50) mmol and foliar spraying with selenium at concentrations (0, 10, 20) mg.L-1 and the effect of the study factors on some growth and flowering traits and the percentage of nitrogen, phosphorus and potassium as well as …
Published in Research & Reviews : Journal of Botany · Vol. 14, Issue 3, 2025 · pp. 29–37 Read article
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Mathematical Modeling of Epidemics Using Stochastic Differential Equations: A Review
Abstract: The accurate modeling of infectious disease dynamics is crucial for predicting outbreaks and informing public health interventions. While deterministic models such as the SIR (Susceptible-Infected-Recovered) framework have traditionally been used to understand disease transmission, they often fail to account for the randomness inherent in real-world scenarios. Disease spread is influenced by numerous uncertain factors, including individual behavioral changes, environmental fluctuations, and imperfect data reporting. These uncertainties can significantly impact model …
Published in Recent Trends in Mathematics · Vol. 1, Issue 2, 2024 · pp. 1–6 Read article
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Climate-Driven Shifts in Vector-Borne Disease Ecology Across South Asia
Abstract: Climate change remains one of the most important phenomena affecting the geographical distribution and movement patterns of vector-borne diseases. In South Asia – characterized by high population density, rich biodiversity, and sharp climatic differences – there is growing evidence of the relationship between increasing temperatures and erratic precipitation, along with the behavior of insect vectors. This research aims to evaluate the effects of climate environmental changes on the distribution and …
Published in International Journal of Insects · Vol. 2, Issue 2, 2025 · pp. 1–5 Read article
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Forecasting Commodity Prices Using Deep Learning Techniques: An Empirical Evidence from India
Abstract: Commodity price forecasting is instrumental in financial markets, providing framework for investment choices and risk management practices. Traditional models, including statistical and machine learning approaches, have limitations in capturing the nonlinear and volatile nature of commodity prices. Deep learning (DL) techniques have emerged as promising alternatives, leveraging advanced neural networks to enhance predictive accuracy. This study presents a thorough and comprehensive examination of deep learning applications in commodity price prediction, …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 · pp. 08–12 Read article
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Homeopathy and Miasms: Exploring Their Vital Importance
Abstract: An individual’s susceptibility to disease is not solely an internal matter but is also profoundly shaped by a variety of external influences. These influences can be broadly categorized into meteoric factors – such as climate, weather changes, seasonal variations, and atmospheric conditions – and telluric factors, which include environmental and terrestrial elements like soil, water, living conditions, and geographical surroundings. When such external influences act upon the human organism, they …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 12, Issue 3, 2025 · pp. 16–21 Read article
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Preliminary Survey & Documentation of Wetland Macrophyte Diversity from Chargaon Lake in Warora Taluka, Dist. Chandrapur Maharashtra, India
Abstract: Wetland macrophytes are most diverse group of aquatic macroscopic Angiosperms that has great ecological influence on wetland ecosystem, plays significant role in every food chain operated in aquatic ecosystem. Present study site has a total catchment area of 14.83 thousand hectors constructed in the year 1983 mainly for irrigation practices to nearby villages. The aim of present study is to conduct preliminary survey followed by proper documentation of floral diversity …
Published in Research & Reviews : Journal of Botany · Vol. 15, Issue 1, 2026 · pp. 1–7 Read article
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Integrating Plant Selection, Planting Design, and Landscape Construction for Sustainable Site Development
Abstract: This paper explores the interrelationship between plant selection, planting design, and landscape construction in achieving ecologically sustainable and aesthetically pleasing outdoor environments. Plant selection involves choosing species that are well adapted to site conditions, ecological functions, maintenance regimes, and visual preferences. Planting design refers to the arrangement, composition, and spatial organization of plant materials to meet functional, aesthetic, and environmental objectives. Landscape construction encompasses implementation—from site preparation and planting through …
Published in International Journal of Trends in Horticulture · Vol. 2, Issue 2, 2025 · pp. 7–12 Read article
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Comparative Effectiveness of Various Fungicides in Managing Mustard Clubroot Disease Caused by Plasmodiophora Brassicae
Abstract: The experiment was accomplished to find out which fungicide or fungicides work best against clubroot disease and how well they protect mustard plants. It also looked at how these fungicides affect the yield and other important growth factors of mustard. The study took place in the research field and lab of the Plant Pathology Division at the Regional Agricultural Research Station (RARS), Bangladesh Agricultural Research Institute (BARI), located in Jamalpur-2000, …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 1, 2026 · pp. 1–11 Read article
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Assessment of the Post-Harvest Chicken Egg Handling Practices in Gamo and Konso Zones of South Ethiopia
Abstract: The study was conducted starting from September to December 2024 in two districts of South Ethiopia with the objective of assessing the prevailing post-harvest chicken egg handling practices, storage materials, duration of storage, and marketing in the rural household. An aggregate of 120 family units were selected randomly from selected peasant area and interviewed by pre-tested questionnaires. The collected data were analyzed by Statistical Package for Social Sciences (SPSS, 2010) …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 3, 2025 · pp. 61–69 Read article
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Efficacy of New Fungicides in Controlling Powdery Mildew of Sweet Gourd
Abstract: This experiment was conducted at the Plant Pathology Division, Regional Agricultural Research Station (RARS), Jamalpur, Bangladesh during 2025 of Rabi & Kharif-1 seasons to find out the effectiveness of new fungicides against Powdery mildew disease of sweet gourd. Twenty (20) new fungicides viz. Acrozet 50 WP, Qingdao GBW, Hea 10 FC, Top star 32.5 SC, Nila 80 WP, Soazeb 72 WP, Safezeb 80 WP, Canvas 32.5 SC, Pyzim 50 WP, …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 3, 2025 · pp. 134–142 Read article
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Screening of Mustard Varieties and Lines against Clubroot and Alternaria Leaf Spot Diseases
Abstract: The experiment was conducted to find out the resistant varieties/lines against clubroot and Alternaria leaf spot diseases of mustard at the Plant Pathology Division, RARS Jamalpur, Bangladesh during the Rabi season of 2024-2025 with sixty-two (62) varieties and lines of Mustard collected from Oilseed Research Centre (ORC) and Plant Genetic Resources Centre (PGRC), Joydebpur, Gazipur-1701, Bangladesh. To screen for clubroot and Alternaria leaf spot diseases and to evaluate yield and …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 3, 2025 · pp. 97–106 Read article
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A Decade of Viral Evolution (2015–2025): Emergence, Mutations, and Implications for Global Health
Abstract: Over the past decade (2015-2025), viral evolution has profoundly reshaped the global health landscape, challenging healthcare systems, diagnostic tools, therapeutic strategies, and vaccine efficacy. This review comprehensively analyzes the evolutionary trajectories of major human and zoonotic viruses, with a focus on pandemic-prone, drug-resistant, and emerging pathogens. Viral evolution is driven by diverse molecular mechanisms including high mutation rates, recombination, reassortment, host immune pressure, and antiviral interventions, leading to genetic diversification, …
Published in International Journal of Vaccines · Vol. 2, Issue 2, 2025 · pp. 31–40 Read article
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Improving Supply Chain Resilience through Predictive Analytics and Real-Time Data Integration
Abstract: Demand forecasting has under gone major changes because to the incorporation of automated analytics into supply chain management (SCM), which has improved company productivity, accuracy, and responsiveness. Central to this transformation is the application of machine learning (ML), which enables the analysis of large and complex datasets to identify patterns, detect trends, and generate precise forecasts. Conventional methods for predicting frequently rely on linear models and historical sales data, which …
Published in International Journal of Industrial and Product Design Engineering · Vol. 3, Issue 2, 2025 · pp. 8–17 Read article