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121 articles for “labor process”
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Efficient Automation Solutions: Building a Budget-friendly Cylindrical Robotic Arm for Component Handling
Abstract: Design and Development of Automation of Loading and Unloading to machine fixture” This Setup involves the use of automation solution to reduce operator fatigue and increase efficiency. Industries in the recent day concentrating on CNC machineries for mass production by replacing conventional lathes to improve productivity but loading and unloading of job carried over by manual, However Present work, machine tool manufacturer are coming with solutions including automatic loading and …
Published in International Journal of Industrial and Product Design Engineering · Vol. 1, Issue 1, 2023 · pp. 6–15 Read article
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Dystocia in Dairy Cattle: Causes, Consequences, and Preventive Measures for Improved Reproductive Health and Productivity
Abstract: Dystocia, or calving difficulty, is a significant reproductive challenge in dairy cattle, with far-reaching impacts on animal health, productivity, and farm economics. This review paper comprehensively explores the primary causes, consequences, and effective preventive measures associated with dystocia in dairy cows. Dystocia arises from a complex interplay of genetic, physiological, environmental, and management-related factors, including breed predisposition, maternal and fetal size, pelvic structure, and gestational nutrition. The consequences of dystocia …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 15, Issue 2, 2026 Read article
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Cartridge-Based Nucleic Acid Amplification for Rapid Tuberculosis Diagnosis
Abstract: In terms of public health, tuberculosis continues to have a significant impact on people's lives. The process of determining the underlying cause of a sickness or condition in a patient is known as clinical diagnosis. It entails the use of numerous diagnostic methods, including physical examinations, laboratory testing, and imaging procedures for medical purposes. Smear microscopy, which are frequently utilized, have poor sensitivity and lengthy turnaround times, respectively. An innovative, …
Published in International Journal of Pathogens · Vol. 1, Issue 1, 2024 · pp. 43–48 Read article
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Looking into new ideas in green chemistry
Abstract: Green chemistry has become a revolutionary way to change chemical processes such that they have less of an effect on the environment while still being efficient and cost-effective. This article looks at new developments in green chemistry that go beyond small changes and offer completely new ways to build chemicals that are good for the environment. There is a lot of focus on innovative catalytic systems, sustainable feedstocks, reaction pathways …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 17, Issue 1, 2026 · pp. 10–18 Read article
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Leveraging Artificial Intelligence for Precision Agriculture: Opportunities and Challenges
Abstract: AI in the agriculture sector is slowly changing the face of farming and the way it is practiced through enhanced precision, efficiency and sustainability. This study explores the role of AI in precision agriculture, focusing on its potential to revolutionize crop management, soil health monitoring, pest and disease control, and resource optimization. We examine the various AI technologies, including machine learning, computer vision, and robotics, that are being leveraged to …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 1, 2025 · pp. 28–40 Read article
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AI and IoT in Sustainable Agriculture: A Review
Abstract: Artificial Intelligence (AI) and Internet of Things (IoT) integration have transformed the world of sustainable agriculture, presenting new ways of resource optimization, increasing crop yields, and making environmental sustainability more accessible. The current literature review analyzes the applications of AI and IoT in three significant agricultural systems: aquaponics, hydroponics, and poultry farming. By critically analyzing recent studies, this paper emphasizes how deep learning- enabled computer vision techniques allow for the …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 2, 2025 · pp. 32–45 Read article
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Comparative FEA Study of Robotic Arms Under Diverse Loading Scenarios
Abstract: The introduction of robotic arms into the industrial and research fields has transformed efficiency, precision, and productivity in a multiplicity of industries. Automating material handling and sorting, among others, the robotic system has optimized operations that enable industries to produce well above the required standards even though there is an enhanced increase in demand, reduces costs, and human labor. Robotic arms find widespread application in manufacturing, medical procedures, and in …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 3, 2024 · pp. 24–32 Read article
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Automated Blood Cell Counting and Disease Identification Using Image Processing: Implications for Polymer Composite- Based Biomedical Diagnostic Devices
Abstract: Accurate quantification of blood cells is central to clinical decision-making and to the performance of emerging polymer composite–based diagnostic platforms. This work presents a cost-effective, image-processing pipeline for automated counting of red blood cells (including overlapping cells), white blood cells, and platelets from Leishman-stained peripheral blood smears, and articulates its relevance to polymer composite microfluidic and biosensor devices. Implemented in Python with OpenCV, the workflow performs grayscale conversion, median/Gaussian denoising, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 262–270 Read article
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Predictive Analytics for Student Well-Being and Occupational Success
Abstract: The integration of predictive analytics into higher education has significantly transformed institutional decision-making processes. However, prevailing implementations remain predominantly performance-centered, focusing on dropout prediction and grade forecasting rather than holistic developmental outcomes. Concurrently, higher education systems worldwide are confronting escalating concerns regarding student mental health, disengagement, career uncertainty, and labor market volatility. These intersecting challenges necessitate a broader theoretical reconceptualization of predictive analytics—one that integrates psychological well-being and long-term occupational …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 155–163 Read article
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Machine Learning Approaches Towards Resume Classification
Abstract: Finding the right person for an open position can be an unnerving task, especially when there are many applicants, and if the recruiter or the Human Resources department must sort and further categorize all those resumes then it will be a labor-intensive, time-consuming, and tiresome task. Additionally, human assessment of resumes may be biased and prone to mistakes. Manually screening the proper candidate's resume from the pool is not practicable; …
Published in International Journal of Electronics Automation · Vol. 1, Issue 2, 2023 · pp. 1–7 Read article
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Digital Frontiers in Life Sciences: The Transformative Role of Computing in Modern Biology
Abstract: The integration of computers in the biological sciences has revolutionized research and experimentation, facilitating advancements in areas such as genomics, bioinformatics, systems biology, and ecological modeling. The ability to process vast amounts of biological data efficiently has transformed how scientists study complex biological systems and phenomena. Computational tools enable the analysis of DNA sequences, protein structures, metabolic pathways, and ecological dynamics, which were previously beyond the reach of traditional laboratory …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 1, 2026 Read article
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Smart Trolley Billing System
Abstract: The Smart Trolley Billing System is an advanced automation solution designed to enhance retail efficiency by integrating IoT, embedded systems, and real-time data processing. Utilizing a GROW GM65 Barcode Scanner Module, Raspberry Pi 4, and a Capacitive Touchscreen display, the system streamlines checkout by capturing product data, dynamically updating a preloaded SQLite database, and displaying an itemized bill in real-time. Its Python-based software stack ensures efficient barcode processing, database management, …
Published in Journal of Electronic Design Technology · Vol. 16, Issue 3, 2025 · pp. 29–36 Read article
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Cardiovascular Modeling with Computational and Mathematical Methods
Abstract: The cardiovascular system, a complex network responsible for delivering life-sustaining oxygen and nutrients throughout the body, is a prime target for advanced understanding and improved therapies. Due to the inherent difficulties in directly observing internal physiological processes and the complexities of interactions within the system, computational and mathematical modeling have emerged as powerful tools in cardiovascular research. This article explores the significance of these methods in unveiling the heart's secrets …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 2, 2025 · pp. 11–21 Read article
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Assessing the Effectiveness of Vocational Education and Training (TVET) in Preparing Students for the Workforce in Liberia
Abstract: Training in Vocational and Educational Training (TVET) is important for students as it enables them to gain practical skills for employment. In Liberia, the main concern of TVET programs is the increasing supply needs for skilled workers in different industries Liberian industries. This research seeks to explore the effectiveness of these programs in Liberia in relation to employment and self-employment opportunities from the 833 respondents distributed across various TVET institutions. …
Published in Recent Trends in Social Studies · Vol. 2, Issue 2, 2025 · pp. 31–38 Read article
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Identifying and Mitigating Chemical Hazards Through Hazard Identification and Risk Assessment Using Failure Mode and Effects Analysis (FMEA)
Abstract: Chemical exposure represents a significant occupational health and safety concern in the chemical industry. Effectively addressing these hazards requires teamwork among various occupational health and safety experts, such as general OHS professionals, occupational hygienists, and occupational health practitioners. This research focuses on analyzing hazards and developing control measures for industrial chemicals, evaluating their toxicity, and using these assessments in regulatory decision making. It starts by addressing the availability of toxicological …
Published in Journal of Industrial Safety Engineering · Vol. 11, Issue 1, 2024 · pp. 52–62 Read article
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Enhanced Sustainable Concrete Mix Design Using LLMs and Advanced Machine Learning Techniques
Abstract: Large Language Models (LLMs) are emerging as transformative tools in materials science, offering human-like reasoning, zero-shot problem solving, and the ability to integrate fuzzy laboratory knowledge with structured data. This study extends and reinterprets the original systematic benchmark for using LLMs in sustainable concrete design, particularly for Alkali-Activated Concrete (AAC). We introduce an enhanced, multi-model framework combining LLM-based inverse design, Random Forest regression, Gaussian Process Regression (GPR), and a lightweight …
Published in Recent Trends in Civil Engineering & Technology · Vol. 16, Issue 2, 2026 Read article
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Evaluation on Bioremediation Kinetics of Petroleum- Contaminated Soils Using Plant-Based Amendments
Abstract: The effectiveness of bioremediation processes is strongly influenced by environmental conditions, reactor design parameters, microbial characteristics, and pollutant properties. This study investigates the combined effects of environmental-related factors, reactor design considerations, organism- related characteristics, and pollutant properties on the degradation of total petroleum hydrocarbons (TPH) in swampy and clay soils amended. Laboratory-scale remediation experiments were conducted over an 84-day period using amendment dosages ranging from 20 to 100 g. The …
Published in Emerging Trends in Chemical Engineering · Vol. 13, Issue 1, 2026 · pp. 24–30 Read article
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IoT Integration in Sustainable Agriculture
Abstract: The increasing demand for food production, environmental concerns, and resource limitations have necessitated the adoption of Internet of Things (IoT)-based innovative farming solutions. The current paper introduces an IoT-based system that integrates hydroponics, aquaponics, and poultry to promote sustainability, resource utilization, and agricultural productivity. Conventional farming practices are riddled with ineffective use of resources, uncertain environmental effects, and expensive operations. The new system facilitates real-time monitoring, automated decision support, and …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 69–84 Read article
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A Perspective Review on Role of Environmental Pollutants in Developing Neurodegenerative Diseases
Abstract: As human society progresses towards industrialization, an excess number of environmental pollutants are released to our ecosystem, which significantly contribute in causing various health issues primarily associated with neurodegenerative diseases such as cognitive disorder, dementia, anxiety, Alzheimer, Parkinson etc. Because of their high global occurrence, these diseases have attracted attention in recent decades, however, the etiology of these diseases remains unclear. Pollutants are discharged into the environment by natural events …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 2, 2024 · pp. 1–18 Read article
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IoT-Based Automated Crop Protection System for Smart Farming
Abstract: The development of current technological advancements produces expanded capabilities for agricultural farming production alongside pest management techniques. The Automatic Crop Protection System requires an Arduino controller and Blynk IoT application for monitoring and managing essential environmental parameters including temperature along with humidity as well as soil moisture and pest behavior. Real-time environmental and soil data obtained by the suggested system's sensor array gets analyzed and controlled by an Arduino controller. …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 2, 2026 · pp. 1–8 Read article