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152 articles for “market analysis”
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A Nation in Disarray: Communal Conflicts and Socio-political Stability in Nigeria
Abstract: This paper investigated communal conflicts and socio-political stability in Nigeria. The Nigerian state has witnessed a lot of cataclysms arising from misunderstanding or disarticulation of interest between or among communities and this has affected the political stability of the State. Methodologically, the study adopted secondary data which was analyzed through content analysis. The Frustration and Aggression theory was adopted as the framework for analysis. The study observed that land disputes, …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 14, Issue 1, 2024 · pp. 28–35 Read article
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Labeling transparency and heavy metal contamination in commercial protein powders: A case study
Abstract: With the recent surge in market demand, health supplements particularly protein powders, have become increasingly vulnerable to quality deterioration, adulteration, and unethical marketing practices. Non-compliance with labeling regulations is on a rise. Moreover, research indicates that heavy metals absorbed from contaminated soil often accumulate in the protein fractions of crops, thereby elevating the risk of heavy metal contamination in protein powders. These issues highlight the urgent need to systematically assess …
Published in International Journal of Nutritions · Vol. 3, Issue 1, 2026 Read article
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Potato Varieties Adapted to Selected Woredas of Gamo Zone and Dirashe Woreda
Abstract: The study was conducted at three locations (Chosha, Yelagnaw Arguba and Zazie) for two consecutive years. It was carried out to evaluate and select high yielding, potato varieties for study areas and areas with similar agroecologies. The experiment consisted of eight potato varieties (six released varieties and two local checks). The study was conducted using a Randomized Complete Block Design with three sets of repeated measures. The combined analysis of …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 13, Issue 1, 2024 · pp. 33–40 Read article
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The War's Economic Effects in the Twenty-First Century, Both Locally and Internationally
Abstract: The essay looks at how wars in the twenty-first century have affected the economy both theoretically and practically. The idea of the "military economy" is emphasized. Analysis is done on the dynamics of military spending. The causes and forms of conflicts that have taken place in the past and are happening now are explained. Researching the economic effects of Russia's war in Ukraine is emphasized. The pre-war evaluation of nations' …
Published in International Journal of Trends in Humanities · Vol. 2, Issue 2, 2025 · pp. 14–21 Read article
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Pharmacovigilance And Drug-Induced Toxicities: A Clinical Perspective
Abstract: Pharmacovigilance, which aims to detect, assess, and prevent medication-induced toxicities and adverse drug reactions (ADRs), is a crucial part of healthcare. This study examines the several kinds of drug-induced toxicities, such as idiosyncratic, dose-dependent, and allergic reactions, and emphasizes the function of clinical pharmacists in the tracking and treatment of these illnesses. Pharmacovigilance systems are crucial because they can identify and handle drug-related safety issues that might not surface during …
Published in Research and Reviews: A Journal of Toxicology · Vol. 14, Issue 3, 2024 · pp. 17–30 Read article
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A Data-Driven Analysis of Machine Learning Classification Models for Reliable Crop Yield Prediction
Abstract: The adoption of ML technologies in agriculture is reshaping farming practices, empowering producers to make informed, data-oriented decisions that improve yields, sustainability, and long-term resilience. In mango cultivation, ML analyzes data from weather, soil, and pests to optimize irrigation, fertilization, and pest control. Predictive analytics help forecast ideal farming practices, minimizing resource wastage and improving yield. Real-time monitoring and image-based disease detection allow timely interventions to maintain plant health and …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 1, 2026 · pp. 12–17 Read article
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Assessment of Noise Pollution Level in Port Harcourt City: a Location Based Comparative Study
Abstract: Noise pollution has emerged as a significant environmental health concern in urban centers, particularly in rapidly developing cities like Port Harcourt, Nigeria. This study presents a comprehensive, location-based comparative assessment of ambient noise levels across selected zones within Port Harcourt metropolis, including residential, commercial, industrial, and traffic-dense areas. Sound level measurements were conducted in the different areas of Port-Harcourt metropolis. High-density and low-density residential neighborhoods, busy roadways, business centers, road …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 3, Issue 2, 2025 · pp. 7–17 Read article
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Impact of Self-Help Groups (SHGs) on Sustainable Livelihood Development in Rural Uttarakhand: A Study on the Influence of DAY-NRLM in Income Generation and Community Empowerment
Abstract: Self-Help Groups (SHGs) have emerged as a vital mechanism for fostering sustainable livelihoods in Uttarakhand, a region challenged by poverty, migration, and unemployment. This study examines the role of SHGs in expanding livelihood programs and empowering members, particularly in income generation, while highlighting the importance of group-based approaches for vulnerable communities like small farmers and craftsmen. Data collection for the study involved a questionnaire targeting 288 respondents across 100 SHGs …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 46–54 Read article
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Fake Product Detection Using Convolutional Neural Networks
Abstract: The widespread circulation of counterfeit products in global markets presents a significant threat to both consumer trust and the integrity of established brands. With the advancement of artificial intelligence, particularly deep learning, there is growing potential to develop more sophisticated systems to combat this issue. This study introduces a novel counterfeit detection framework using the VGG16 Convolutional Neural Network (CNN) to distinguish between authentic and counterfeit products through image analysis. …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 2, 2025 · pp. 08–15 Read article
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Advancements in Battery Storage Technology for Renewable Energy Systems: Improving Reliability and Efficiency of Sustainable Energy
Abstract: Advances in battery storage technology are critical to improved reliability and efficiency of renewable energy systems, underpinning a sustainable energy future. Innovations exist in many different kinds of battery technologies- being developed and tested, and the leading contenders include innovations such as lithium-ion and sodium-ion, and much newer entrants like the solid-state and lithium-sulfur batteries. These developments respond to growing needs for sustainable solutions towards better integration of intermittent renewable …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 17, Issue 2, 2026 Read article
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Review and Implementation of Superconducting Technology in Power System for Reduction of Transmission and Distribution Line Losses
Abstract: Superconducting technology has wide applications in superconducting generator, superconducting transmission lines and superconducting energy storage systems. Most of the studies undertaken conclude that although the application of superconducting material in power system did indeed lead to improved efficiencies, the capital cost and cooling energy requirement were too large and that it was not economically feasible to implement. But the major result in the following studies is that in the future, …
Published in Journal of Semiconductor Devices and Circuits · Vol. 12, Issue 1, 2025 · pp. 26–36 Read article
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House Price Prediction Using Linear Regression In Machine Learning
Abstract: In the modern world, real estate is among the most important investments, particularly in a city like Chennai, which is where many people aspire to work and settle down. Due to people's high purchasing power, this will cause property prices to rise daily. When purchasing a home, buyers will consider whether or not it will yield a healthy profit margin. Hence, before spending your hard-earned money on any property, it …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 92–100 Read article
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Development of Automobile Scaled Model from CAD (Blender) Using FDM 3D Printing
Abstract: Additive manufacturing (AM), also known as 3D printing, has emerged as a disruptive technology with the potential to transform automotive manufacturing. This paper reviews the applications of AM across the automotive product development lifecycle. The paper examines case studies demonstrating the use of AM for developing computer-aided design (CAD) models from concept sketches. Overall, AM brings several benefits such as design flexibility, faster time-to-market, and distributed production. However, there are …
Published in International Journal of Advanced Control and System Engineering · Vol. 2, Issue 2, 2024 · pp. 1–9 Read article
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Recent research trends in Bioethanol production – An Indian context
Abstract: Biofuels production is indeed a research hotspot. Prevention is better than cure. A paradigm shift from fossil based to bio-based fuels gives health, wealth and happiness. Among various biofuels, after biodiesel, bioethanol is next to and close to commercialization. The use of bioethanol is countries like Brazil and US is a success story. In India there is significant progress taking place in the transportation sector to use bioethanol as fuel …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 16, Issue 2, 2026 Read article
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Potentials and Development of The Livestock Industry In Bole District
Abstract: Livestock production in the Bole District could be enhanced to supply the whole nation if the prospects and challenges are identified and addressed. It is carried out under extensive, semi-intensive and intensive systems. However, the extensive system is the most practiced, especially in the rural communities. This study tried to understand the possibility of expansion of the livestock industry in the district. The study employed location-specific assessment of the potentials …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 13, Issue 1, 2024 · pp. 35–48 Read article
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Adoption of Major Climate-Smart Agricultural Practices in Gimbo District, Southwest Ethiopia
Abstract: This study investigates the determinants of adoption of Climate-Smart Agricultural Practices (CSAPs) among smallholder farmers in Gimbo District, Southwest Ethiopia. The focus is on three key technologies: agroforestry, improved seed varieties, and improved livestock feed and feeding practices. Primary data were collected from 384 households through structured interviews, and a multivariate probit (MVP) model was employed to analyze the simultaneous adoption of multiple technologies while accounting for potential interdependencies. Descriptive …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 1, 2026 · pp. 65–76 Read article
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A New Design and CFD Analysis of UAV for Military and Other Applications
Abstract: The new era of unmanned aerial vehicles (UAV) started long back. The purpose of this project was to make a new innovative approach to the designing of UAVs for better use in the field of surveillance and commercial photography and videography. The UAV was designed in such a way that holds the camera connected to a wireless transmission system, this feeds the live information to the ground station. This UAV …
Published in Journal of Polymer & Composites · Vol. 11, Issue 13, 2023 · pp. 181–187 Read article
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Risk Return Analysis Of Pharmaceuticals Companies During Covid-19
Abstract: An unknown disease (COVID-19) is spreading globally, impacting people and economies very negatively. The virus, which was first discovered in a small part of China in December 2019, has since grown fast across more than 175 countries. The virus is very contagious, thus in order to stop it, certain measures have been put in place, such as a national shutdown, air traffic control, and the wearing of masks, avoidance of …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 1, 2024 · pp. 1–6 Read article
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Unveiling the Engine of Efficiency: Exploring the Vital Dimensions of Warehousing for Optimal Operational Performance
Abstract: This research endeavours to comprehensively explore the multifaceted dimensions of warehousing that significantly influence operational efficiency within the bustling industrial nexus of the National Capital Region (NCR), encompassing a diverse array of warehouse types in the vicinity of Delhi-NCR. Employing a meticulously crafted structured questionnaire, respondents provided insights through a Likert scale, ranging from 1 = Strongly Disagree to 5 = Strongly Agree. The data collection process, utilizing stratified sampling …
Published in Journal of Production Research & Management · Vol. 14, Issue 1, 2024 · pp. 29–38 Read article
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User Review-Driven Recommendation Model for E-Scooter Selection
Abstract: In the era of rising environmental awareness and the growing emphasis on sustainable mobility practices, electric scooters (e-scooters) have gained significant popularity as an efficient and eco-friendly alternative to conventional modes of transport. Their ability to reduce carbon emissions, minimize traffic congestion, and offer cost-effective commuting solutions has made them highly attractive, particularly in urban environments. However, with the rapid expansion of the e-scooter market, consumers are faced with an …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 6–16 Read article