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1406 articles for “PHQ-9 Scale”
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Role of Machine Vision in Autonomous Vehicles: A Review
Abstract: The integration of machine vision in autonomous vehicles (AVs) is a critical advancement in the field of intelligent transportation systems. Machine vision systems enable AVs to perceive their environment, understand road conditions, detect obstacles, and make real-time decisions necessary for safe navigation. These systems rely heavily on image processing techniques, which have evolved significantly over the past decade, leading to improved performance in complex driving scenarios. These developments are largely …
Published in Trends in Machine design · Vol. 12, Issue 1, 2025 · pp. 38–43 Read article
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Adaptation of Finger Millet (Eleusine coracana) Varieties in Southern Ethiopia
Abstract: Finger millet (Eleusine coracana) is one of the cereal food and feed crops grown in Ethiopia. The crop is considered a low input crop. Unavailability of improved varieties was realized as one of the major production constraints at all potential areas in southern Ethiopia. The present study was conducted with an objective to identify the adaptive, preferred and better yielding finger millet varieties for further demonstration and pre-scale up. The …
Published in Research & Reviews : Journal of Botany · Vol. 14, Issue 2, 2025 · pp. 1–5 Read article
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Evaluation of Raw Cow Milk Preservation Using Extracted Mango Seed Kernels and Rosemary Leaves Powder, Ethiopia
Abstract: The study aimed to evaluate the raw cow milk preservation using extracted mango seed kernels and rosemary leaves powder. Fresh cow milk samples collected aseptically from Debre Birhan University farm. The fresh cow milk treated at different concentrations (0.5, 1.0 and 1.5%) of ethanol extract of mango seed kernel, rosemary leaves and equal mix of both extracts with 100 ml of milk then store at room temperature. Mango seed kernels …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 14, Issue 2, 2025 · pp. 20–28 Read article
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Leveraging Deep Learning and Cloud Computing for Water Usage Optimization in Agriculture: A Study
Abstract: Water scarcity and inefficient irrigation practices are significant challenges in modern agriculture. This research investigates how deep learning and cloud computing can be combined to enhance water efficiency in agricultural practices. Leveraging advancements in deep learning and cloud computing, researchers have developed innovative solutions for optimizing water usage. This review examines the state-of-the-art methodologies, technologies, and applications in smart irrigation systems. It explores how deep learning models and cloud platforms …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 83–91 Read article
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Development of Eco-friendly Glass Fiber Composites Embedded with Paddy Stubble for Sustainable Applications and Its Metallurgical Characterization
Abstract: The extreme rise in environmental challenges owing to agricultural activities, among which paddy stubble burning remains a huge concern. Burning about 15 million tons of paddy stubble leads to emissions discharge of various toxic pollutants and gases notably, nitrogen oxides, methane and carbon monoxide in large scale causing global air pollution and climate change. The study focuses on obtaining and preparing a paddy stubble powder and using it with glass …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 640–648 Read article
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Trussed Bridges
Abstract: Trussed railway bridges offer a unique structural advantage by efficiently distributing the load between the truss members and the girder. In such designs, a significant portion of the load is carried by the truss members, which reduces the stress on the bridge girder itself. As a result, the girder in a trussed bridge can be constructed with a reduced thickness compared to bridges that lack a truss system. This optimization …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 11–16 Read article
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To Evaluate the Performance of the Selected Hybrid Systems and Validation of Mathematical Model with the Experimental Data
Abstract: The main aim of this paper to evaluate the performance of the PV-Wind hybrid systems and validation of mathematical model with the experimental model. In the research paper, the experimental model of PV-Wind Hybrid system has been installed at a height of 22 meters in the School of Energy and Environmental studies, DAVV, Indore, and M.P., India. The theoretical calculation of the wind generator output has also been compared with …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 16, Issue 2, 2025 · pp. 20–28 Read article
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An Evaluation of the Impact of a Nurse-Led Program on Knowledge and Practices Related to Needle Stick Injury Prevention Among 2nd Year B.Sc. Nursing Students at the College of Nursing, PT. B.D. Sharma PGIMS, Rohtak
Abstract: Healthcare workers and nursing students frequently face accidental occupational exposures while caring for patients, with needle stick injuries being the most common form of exposure in healthcare settings. These injuries pose a significant risk of infections. This study aimed to evaluate the awareness and practices related to the prevention of needle stick injuries among second-year B.Sc. Nursing students, assess the effectiveness of a nurse-led intervention in enhancing their knowledge and …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 3, Issue 1, 2025 · pp. 28–66 Read article
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Iot Based Environment Monitoring System
Abstract: Pollution combined with climate change is creating long-term problems for natural resources. Their impact on soil, air, and water cleanlinessis growing, requires smart, immediate solutions. In this paper, we report on an IoT-based Environment Monitoring System whose purpose is to monitor the air quality, temperature, humidity, and soil moisture content. It consists of an Arduino Uno, gas sensors (MQ135, MQ9, MQ6), a temperature sensor LM35, a soil moisture sensor, and …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 2, 2025 · pp. 8–14 Read article
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A Study on the Incidence, Prevalence, and Causative Factors Associated with Intradialytic Hypotension During Maintenance Hemodialysis
Abstract: In Maintenance Hemodialysis (MHD), Intradialytic Hypotension (IDH) is a significant issue, occurring in around 15–30% of dialysis sessions and greatly affecting patient well-being and health outcomes. This study followed a group of 50 MHD patients for six months to investigate the frequency, prevalence, and causes of IDH. The findings revealed that having a low serum albumin level (<3.5 g/dL) was the most reliable indicator of IDH (OR: 4.1, 95% CI: …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 2, 2025 · pp. 17–29 Read article
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RFID-Enabled Smart Shelves and Cart System
Abstract: With the fast-paced development of Radio Frequency Identification (RFID) technology, the retail sector is seeing a revolutionary change to improve stock management, cut operational costs, and improve consumer satisfaction. The comparative advantages of RFID-smart shelves and carts over conventional stock management practices, such as barcode scanning and manual stock management, are investigated in this work. Compared to the other methods, in terms of accuracy, efficiency, cost-effectiveness, and scalability, RFID smart …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 2, 2025 · pp. 31–37 Read article
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Harnessing IoT and Sensor Technologies for Smart Agriculture: A Path Towards Viksit Bharat
Abstract: The integration of Internet of Things (IoT) and sensor technologies is redefining the landscape of Indian agriculture, serving as a catalyst for achieving the ambitious vision of Viksit Bharat (Developed India). Indian agriculture faces significant challenges such as resource scarcity, climate variability, and fragmented supply chains, which hinder productivity and sustainability. IoT-based solutions offer innovative approaches to address these critical issues by enabling smart irrigation systems, real-time field monitoring, precision …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 2, 2025 · pp. 38–45 Read article
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A Systematic Study of AI-Powered Robotics for Ocean Cleanup of Plastics
Abstract: The escalating crisis of plastic pollution in marine ecosystems demands innovative solutions beyond conventional cleanup methods. This paper presents a systematic study of artificial intelligence (AI)-powered robotics for ocean plastic cleanup, evaluating their efficiency, technological advancements, and challenges. Autonomous systems, such as AI-driven surface drones (ASVs), underwater robots (autonomous underwater vehicles/remotely operated vehicles [AUVs/ROVs]), and swarm robotics, leverage machine learning (ML) and computer vision to detect, classify, and collect plastic …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 2, 2025 · pp. 1–10 Read article
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Real-Time Language Translation Application Using Tkinter
Abstract: This application, “Real Time Language Translation Application Using Tkinter”, was created to develop a friendly tool by which users can instantaneously translate text from one language to another. Built using Python and the Tkinter library, it uses the integration of the Google Translate API to deliver an accurate translation with context while relying on Natural Language Processing technology through the system for Google’s Neural Machine Translation. The GUI developed with …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 1, 2025 · pp. 26–32 Read article
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Green Q-Commerce: Balancing Speed and Sustainability in Hyper-Fast Delivery Systems
Abstract: The rapid expansion of quick commerce (q-commerce) has transformed consumer expectations with ultra-fast deliveries, yet its environmental impact—marked by carbon-intensive logistics, excessive packaging waste, and energy-heavy operations—poses significant sustainability challenges. This review examines how the q-commerce sector can reconcile speed with ecological responsibility through innovative solutions, including electrified last-mile delivery (e-bikes, electric vehicles, drones), circular packaging models (reusable containers, biodegradable materials), and artificial intelligence (AI)-driven logistics optimization (route efficiency, demand …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 2, 2025 · pp. 22–27 Read article
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Extant Roofing Pattern and Early Decay of Residential Buildings in Port Harcourt Municipality, Rivers State
Abstract: The design and construction pattern of roofs in the tropical environment like Port Harcourt Municipality, Rivers State is a major factor that determined how functional and the life span of building components and materials. In recent time residential building components and materials had been observed to decay earlier than expected due the existing roofing pattern. This study is aimed at assessing the extant roofing pattern and identified factors responsible for …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 3, Issue 2, 2025 · pp. 16–24 Read article
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Impact of Layer Height and Infill Line Orientation On 3D Printed Components Produced Via Additive Manufacturing
Abstract: Additive Manufacturing (AM) is an extrusion-based technique used to create objects by extruding semi-molten material through a nozzle of specific dimensions. Materials like acrylonitrile butadiene styrene (ABS), polylactic acid (PLA), polycarbonate (PC), and others are commonly employed in this process to manufacture industrial components. The mechanical properties of engineering component are critical for various industrial applications. This study investigates the impact of additive manufacturing on fabrication, considering different process parameters. …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 315–323 Read article
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AI-based Drug Discovery-Revolutionizing Pharmaceutical Research
Abstract: The traditional drug discovery process is often costly, time-consuming, and prone to high failure rates. The advent of Artificial Intelligence (AI) has revolutionized this field by significantly enhancing efficiency, reducing costs, and improving success rates. AI-driven approaches, including machine learning (ML), deep learning (DL), and natural language processing (NLP), have transformed key areas such as drug target identification, molecular screening, lead optimization, and clinical trial design. AI models can analyze …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 30–44 Read article
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Computer Aided Diagnosis of Breast Cancer using Machine Learning Techniques
Abstract: Breast cancer is one of the significant health problems that lead to early mortality in women, especially those between 40 and 55 years of age all over the world. In recent years, the number of breast cancer cases among women has risen significantly, making early and accurate diagnosis more important than ever. Computer-aided diagnostic (CAD) tools have become valuable in supporting radiologists by enhancing the precision of breast cancer detection. …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 27, Issue 2, 2025 · pp. 1–11 Read article
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AI-Based Preventive Healthcare Using Quantum Computing
Abstract: With its improved performance and capabilities, quantum machine learning (QML) is becoming a promising field, especially in the healthcare industry for tasks like early heart disease prediction. In this work, a Quantum Support Vector Classifier (QSVC) is proposed as the basic classifier for a bagging ensemble learning model. Shapley Additive explanations (SHAP) are used to evaluate the significance of each attribute in the predictions in order to improve explainability. Using …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 15, Issue 2, 2025 Read article