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703 articles for “Scaling”
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A Review on Heavy Metal Removal Techniques in Water Treatment
Abstract: The removal of heavy metal ions from wastewater is crucial for environmental safety and human health due to the toxic and persistent nature of these pollutants. This review comprehensively examines various water treatment methods, including adsorption, membrane filtration, chemical precipitation, electrochemical, and photocatalytic processes. Each technique is critically analyzed in terms of removal efficiency, operating conditions, and their respective advantages and limitations. Adsorption methods, particularly those using bioadsorbents, have gained …
Published in Journal of Water Pollution & Purification Research · Vol. 11, Issue 3, 2024 · pp. 15–28 Read article
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Algorithmic Strategies for Complex Data Handling: Optimizing Data Structures for Enhanced Computational Performance
Abstract: We live in an age of big data and processing very large often complicated datasets can be crucial to efficient algorithmic performance. This paper discusses different algorithmic techniques when working with difficult data and how to arrange your information structures correctly for better functionality in large-scale methods. It checks the impact of different algorithms like sorting, searching, and hashing in boosting its processing speed as well as memory use. This …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 2, 2024 · pp. 1–10 Read article
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Dynamic Skip-Layer Trees: A Novel Data Structure for Efficient Multi-level IoT Data Processing in Smart Cities
Abstract: This paper introduces dynamic skip-layer trees (DSLTs), a novel hierarchical data structure specifically designed for processing and managing multi-layered Internet of Things (IoT) sensor data in smart city environments. DSLTs extend the traditional skip list concept by incorporating dynamic layer adjustment and spatial awareness, enabling efficient querying and updates across various geographical and temporal dimensions. Our experimental results demonstrate that DSLTs achieve up to 40% faster query processing and a …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 2, 2024 · pp. 11–21 Read article
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Bharat Charge Alliance: key to India’s Electric Vehicle Transition
Abstract: The Bharat Charge Alliance (BCA) is an inclusive platform dedicated to creating a safer and more interconnected environment for India's Light Electric Vehicle (EV) industry. The BCA's main goal is to create a reliable and interoperable charging network throughout India, involving essential stakeholders like electric vehicle (EV) manufacturers, charging station and component producers, battery and energy suppliers, and charge point operators. This initiative, spearheaded by Kapil Shelke, Founder & CEO …
Published in Journal of Automobile Engineering and Applications · Vol. 11, Issue 3, 2024 Read article
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Analysis of White Matter, Gray Matter, and Cerebrospinal Fluid Alterations in Neurological Disorders: A Deep Learning Approach
Abstract: This paper investigates the role of white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF) alterations in the pathophysiology of neurological disorders, including Alzheimer’s disease, Parkinson’s disease, schizophrenia, and epilepsy. By leveraging advanced deep learning methodologies, we aim to automate the segmentation and analysis of brain structures from MRI scans, enabling a more detailed and precise evaluation of their roles in disease progression. These techniques allow for the identification …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 3, 2024 · pp. 21–27 Read article
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Bio-Inspired Membranes in Oral Drug Delivery: A Pathway to Enhanced Permeability and Targeted Therapy
Abstract: Bio-inspired membranes in oral drug delivery represent a significant advancement in pharmaceutical technology, harnessing principles of natural biological systems to improve drug permeability, bioavailability, and targeted release. This review discusses the design, materials, and fabrication techniques used in bio-inspired membranes, with a focus on materials like chitosan, silk fibroin, and synthetic polymers that mimic biological structures. By exploring the mechanisms of drug permeation, such as mucoadhesion and selective permeability, bio-inspired …
Published in International Journal of Membranes · Vol. 1, Issue 2, 2024 · pp. 39–52 Read article
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Bacteriophages- A New Frontier in Medicine
Abstract: Bacteriophages, or phages, are viruses that specifically target and infect bacteria, offering an innovative alternative to traditional antibiotic treatments, especially in the face of rising antibiotic resistance. The resurgence of phage therapy has been driven by the increasing prevalence of multidrug-resistant bacterial strains and the slowdown in the development of new antibiotics. Phages, unlike antibiotics, target specific bacterial strains, reducing the impact on the natural microbiota and potentially offering a …
Published in International Journal of Virus Studies · Vol. 1, Issue 2, 2024 · pp. 31–35 Read article
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Evaluating the Impact of the Valsalva Maneuver on Pain Relief During Intravenous Cannulation in Patients at Selected Hospitals in Tirupati, Andhra Pradesh
Abstract: Pain can be defined as an unpleasant tactile sensation, arousing sensory experience, and an emotional response that is linked to any type of tissue, cell, or skin damage. Pain is a very common and a primary reason for which people seek health care. Among all the non-pharmacological methods for pain relieving, the Valsalva maneuver is one of the methods which is found effective in reducing the level of pain a …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 3, 2024 Read article
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Convolutional Neural Network Based Ripeness Detection of Fruits
Abstract: The accurate and efficient assessment of fruit ripeness plays a crucial role in ensuring the quality of fruits and optimizing supply chain management. This paper presents a novel approach for the automated detection of apple and banana ripeness using Convolutional Neural Networks (CNNs). The suggested method supports the capability of CNNs to learn hierarchical features from images, variations in color and shape associated with different ripeness stages. The online dataset …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 13, Issue 2, 2024 · pp. 30–36 Read article
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Reducing Environmental Impact through Optimized Non-Renewable Resource Management: A Systematic Review of Technological Advances
Abstract: The term "optimized use of non-renewable resources" describes the prudent management and optimization of limited natural resources that are difficult to replenish or regenerate quickly. Minerals, nuclear fuels, and fossil fuels (coal, oil, and natural gas) are examples of resources that are not renewable. The abstract idea is to minimize waste, the impact on the environment, and the pace of depletion while optimizing the utility obtained from these resources. Advanced …
Published in Journal of Nuclear Engineering & Technology · Vol. 14, Issue 3, 2024 · pp. 12–19 Read article
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Effect of Malaria Endemic on Socio-Economic Activities in South-East Nigeria: A Study from 2012 to 2023
Abstract: The research investigated the effects of malaria on socio-economic activities in South-East Nigeria between 2012 and 2023, emphasizing the effectiveness of different malaria management strategies. The analysis utilized both primary and secondary data, employing frequency tables and a five-point Likert scale to gauge respondents' levels of agreement. Furthermore, multiple regression models were utilized to explore the relationships among the variables.. Findings indicated that while diverse malaria interventions had a positive …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 3, 2024 Read article
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Assessing Supportive Care Needs Among Breast Cancer Survivors: A Cross-Sectional Study
Abstract: Breast cancer poses a significant global health challenge and ranks among the primary causes of cancer-related morbidity and mortality worldwide. The objective of this study was to evaluate the supportive care needs of survivors of breast cancer and examine how these needs are related to various background factors. To accomplish this, a cross-sectional study was carried out with 116 breast cancer survivors, selected using a convenient sampling method. Data were …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 13, Issue 3, 2024 · pp. 39–42 Read article
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Cohesive Energy of Chalcogenide and Pnictide Based Ternary Tetrahedral Semiconductors
Abstract: There is a great amount of interest in tertiary chalcopyrite semiconductors because of the potential uses they have in the field of optoelectronics. These applications include solar energy converters, detectors, light emitting diodes (LED), and non-linear optical devices (NLO). There are variety of ZnS Zinc blende types of superstructures in which one of the types is called chalcopyrite semiconductor. This study is based on the characteristics of the chalcopyrite semiconductor. …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 192–197 Read article
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A Study to Evaluate the Impact of Nurse-led Intervention on Competency Level Regarding Care of Patients on Mechanical Ventilators Among ICU Nurses Working in Selected ICUs at Pt. Bd Sharma PGIMS Rohtak
Abstract: Introduction: The nurse caring for mechanically ventilated patients must be skilled and possess a deep understanding, along with specialized knowledge, of mechanical ventilators (MV). This study is intended to evaluate the impact of nurse-led intervention on competency levels regarding the care of patients on MV among ICU nurses. Objective: To assess the pre- and post-test knowledge, practices, and attitudes of ICU nurses, evaluate the effectiveness of nurse-led interventions on the …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 2, Issue 2, 2024 · pp. 59–94 Read article
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Effectiveness of Spencer Technique of Mobilization on Adhesive Capsulitis: A Single Case Study
Abstract: Background: Frozen shoulder, or adhesive capsulitis, is a condition characterized by pain, restricted motion, and stiffness in the shoulder joint. This occurs due to inflammation and the thickening of the joint capsule. The Spencer technique, is a manual therapy method consisting of seven steps designed to improve shoulder function by enhancing joint mobility, circulation, and lymphatic flow. These movements target shoulder extension, flexion, circumduction, abduction, and adduction, to reduce stiffness …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 2, Issue 2, 2024 · pp. 14–20 Read article
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Enhancing Breastfeeding Practices Through a Biopolymer-Based Educational Intervention
Abstract: Background: Breastfeeding difficulties are common among new mothers, and knowledge gaps can contribute to these challenges. Educational interventions hold promise in improving breastfeeding practices. This study aimed to evaluate the effectiveness of a biopolymer-based educational intervention in enhancing mothers' knowledge and practices regarding breastfeeding problems and their prevention. Methods: A quantitative pre-post-test design was employed with a sample of 54 postnatal mothers in a multispecialty hospital. A biopolymer-based educational intervention …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 114–118 Read article
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Emerging Trends in Drones across Multiple Sectors
Abstract: Drones, also known as unmanned aerial vehicles (UAVs), have become increasingly popular for their adaptability, affordability, and advanced functionalities. Originally developed for military purposes, they are now widely utilized across diverse sectors such as agriculture, filmmaking, and search and rescue missions. The impact of drones has been significant in various domains, such as reducing human casualties, providing more accurate information, increasing efficiency and cost reduction, and improving crop yields. Nonetheless, …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 2, Issue 2, 2024 · pp. 29–35 Read article
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Productivity Estimation of any Manufacturing Industry Using Fuzzy Logic in MATLAB Software
Abstract: In every industry/organization Labor Productivity plays a major part in the overall growth and production. Many time it is observed that industries do not attain their desired goals due to poor labor productivity. Labor Productivity is dependent on many different factors like Delay in Payment, management supervision over workers, proper work planning and scheduling, poor site safety program, lack of financial motivation system, etc. In this study, we estimated labor …
Published in International Journal of Manufacturing and Production Engineering · Vol. 2, Issue 2, 2024 · pp. 1–14 Read article
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Aerodynamic Influences on Structures with Varied Plan Configurations
Abstract: The wind-induced effects on tall buildings demonstrate a level of unpredictability, attributed to the intricate influence of the building's plan shape on the distribution of wind loads. The oscillations experienced by tall structures, both longitudinally and laterally, are influenced by factors such as wind direction, building configuration, height, and structural characteristics. This investigation is centred around examining the impact of wind on tall buildings featuring diverse plan cross-sectional shapes. The …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 377–388 Read article
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Quantification and Forecasting of Plastic waste in Gorakhpur city, India
Abstract: Plastic pollution is one of the biggest environmental threats faced by human society, especially in cities like Gorakhpur, which have minimal resources for waste management but a very high amount of waste that keeps on increasing day by day. The purpose of this research is to determine the total amount of plastic waste (PW) generated in Gorakhpur city and forecast plastic waste generation. The snowball sampling method was used for …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 946–962 Read article