Search
283 articles for “normalization”
-
Structural Performance Evaluation of Circular Perforated Plates under Mechanical Loading
Abstract: Circular perforated plates are structurally critical components in aerospace, automotive, and marine sectors, where perforation-induced stress concentrations govern failure under mechanical loading. This study conducts a systematic finite element analysis of stress distribution, deformation, and interlaminar behavior in aluminum and glass-epoxy laminates ([−45/45/90/0]S and [−45/45/90/0]AS) under uniform transverse pressure with clamped-free boundary conditions. Four perforation configurations—no hole, central hole, single-series, and 25-hole grid—were evaluated using ANSYS Shell-181, verified against Kirchhoff–Love, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 1–20 Read article
-
Pharmacokinetics of Levothyroxine and Factors Influencing Its Therapeutic Efficacy in Hypothyroidism: A Comprehensive Review
Abstract: Levothyroxine (LT4) remains the standard therapy for hypothyroidism due to its effectiveness in restoring normal thyroid hormone levels and improving physiological functions. However, its pharmacokinetic profile exhibits considerable variability, which may influence therapeutic outcomes in clinical practice. This review aims to comprehensively evaluate the pharmacokinetics of levothyroxine, including its absorption, distribution, metabolism, and elimination, along with factors affecting its therapeutic efficacy. A structured literature search was conducted using electronic databases, …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 12, Issue 2, 2025 Read article
-
Machine Learning-Based Quantification of Polymer Structure Property Relationships for Predictive Material Design
Abstract: Polymer structures exhibit complex, hierarchical arrangements that strongly influence macroscopic properties, yet consistent quantification remains challenging due to nonlinear interactions and limited unified modeling strategies. Existing approaches inadequately capture generalized structure–property mappings across diverse polymer systems. This research aims to establish a machine learning-based quantification model for polymer structure–property relationships to support predictive material design. A Polymer Structure Property Dataset of 5,000 polymer samples includes structural descriptors and experimentally measured …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 737–754 Read article
-
Design and simulation of Solar Powered Automated Dual Rotor Mechanism for Sugarcane Harvesting
Abstract: Sugarcane being the vast cultivated cash crop of India’s agricultural economy has undoubtedly one of the most difficult harvesting processes. The existing mechanisms to harvest sugarcane are costly and are not affordable by rural based farmers. In this project a novel design mechanism is suggested that would serve the purpose of harvesting with least manpower, being cost effective and serving the purpose of cutting, stripping, sorting and loading of the …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 4, Issue 1, 2026 Read article
-
Multi-Parameter Biomedical Sensor-Based Mental State Classification Using EEG And Deep Learning Techniques
Abstract: With mental health concerns becoming increasingly widespread, there is a strong need for systems that can monitor conditions like stress, anxiety, and fatigue in a continuous and non- invasive manner. This research proposes a novel multi-parameter biomedical sensing framework for mental state classification by integrating electroencephalography (EEG) signals with physiological parameters, including body temperature acquired using LM35 sensors, heart rate from pulse sensors, and blood oxygen saturation (SpO₂) measurements. The …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 Read article
-
Multi-Scale Analysis of Polymer Based Energy Storage Systems for High Performance Battery Applications
Abstract: The energy storage systems based on polymers are becoming promising materials for the next generation of high performance batteries because of their excellent mechanical flexibility, improved safety, and favorable electrochemical properties. Even with computational tools in Python, polymer-based energy storage systems remain plagued by poor ionic conductivity, complicated electrochemical reactions and potential thermal runaway. Therefore, a multi-scale model is proposed to improve battery performance, thermal stability, reliability, and large-scale deployment …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1035–1048 Read article
-
Thermal Steganography: A New Way to Steal Data from Air-Gapped Computers Using Heat and Fan Noise
Abstract: Nowadays, high-security computers are "air-gapped," meaning they are not connected to the internet to prevent hacking. Cybercriminals are increasingly using direct, physical methods to access and take data instead of relying on internet-based attacks. This paper introduces a new cybersecurity threat called Thermal-Secret. Most existing heat-based attacks are very slow and fail if the room temperature changes. To solve this, we developed a Slope-Based method. Instead of looking at how …
Published in International Journal of Information Security Engineering · Vol. 4, Issue 2, 2026 Read article
-
Lemon Sign: The Diagnostic Indicator for Spina Bifida
Abstract: The “lemon sign” is a distinctive ultrasonographic finding that serves as a diagnostic indicator for spina bifida, a congenital neural tube defect characterized by incomplete closure of the spinal cord. This sign is observed in fetal imaging and is considered an early and reliable marker for detecting spina bifida, particularly when combined with other prenatal diagnostic tools such as the “banana sign.” The lemon sign is characterized by a flattened, …
Published in International Journal of Midwifery Nursing And Practices · Vol. 4, Issue 1, 2026 · pp. 1–6 Read article
-
Bias Detection and Accuracy Enhancement in Voice-based Banking Authentication Using Deep Learning
Abstract: Biometric systems have become an integral part of how many people access banking services today, and voice verification systems can be a secure and easy-to-use source of banking authentication that does not require any physical contact with the bank or any other person. From the security perspective, these systems would normally provide an effective means of identifying an individual but frequently exhibit bias with respect to demographics such as the …
Published in International Journal of Information Security Engineering · Vol. 4, Issue 2, 2026 Read article
-
Deep Learning Based Detection and Classification of Brain Tumors Using MRI Images
Abstract: Brain tumor detection using magnetic resonance imaging (MRI) is a critical task in the early detection and treatment of brain tumors. Manual analysis of brain tumor detection using MRI is a tedious task that requires expertise in the field. Therefore, this study proposes a deep learning-based approach for brain tumor detection and classification using Convolutional Neural Networks (CNN). The proposed approach preprocesses the MRI image using normalization, resizing, and noise …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 Read article
-
A Study to Assess the Effectiveness of Structured Teaching Program on Knowledge Regarding Breastfeeding Positioning Among Postnatal Mothers in Selected Community Areas in Kanpur
Abstract: Breastfeeding plays a crucial role in promoting infant health by providing complete nutrition, enhancing immunity, and strengthening maternal–infant bonding. Despite its benefits, many postnatal mothers experience challenges, such as nipple pain, breast engorgement, fatigue, and ineffective feeding, often due to improper breastfeeding positioning and poor latching techniques. Limited awareness and lack of structured education further contribute to these difficulties. Educating postnatal mothers on correct breastfeeding positioning is, therefore, essential to …
Published in International Journal of Women's Health Nursing And Practices · Vol. 4, Issue 1, 2026 · pp. 1–23 Read article
-
The Burden of Empirical Therapy: Analyzing the Predominance of Broad-Spectrum Antibiotic Usage in Lower Respiratory Tract Infections
Abstract: Lower respiratory tract infections (LRTIs) remain one of the leading causes of morbidity and hospitalization worldwide, particularly among older adults, immunocompromised individuals, and patients with chronic respiratory disorders. These infections include conditions such as community-acquired pneumonia, hospital-acquired pneumonia, bronchitis, and acute infective exacerbations of chronic lung disease, all of which often require rapid clinical intervention. Because microbiological confirmation of the causative pathogen frequently takes 48–72 hours, clinicians generally initiate empirical …
Published in International Journal of Antibiotics · Vol. 3, Issue 2, 2026 Read article
-
Early Lung Cancer Prediction using deep Learning
Abstract: Lung cancer is a global killer because it’s often found late. Finding it early is key to treatment and survival so computer assisted diagnostics are essential. This research uses deep learning to spot early stage lung cancer from CT scans. We trained and fine-tuned three convolutional neural networks—ResNet50, Dense Net 201 and EfficientNet-B0—using transfer learning. We preprocessed the lung CT images by resizing, normalizing and augmenting them to enhance the …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 2, 2026 Read article
-
Legume-Induced Frothy Bloat in Tropical Cattle: Pathophysiology, Consequences and Preventative Measures
Abstract: Legume-induced bloat in tropical cattle is a complex and significant health challenge that affects livestock productivity and welfare. This review aims to elucidate the multifaceted causes of bloat associated with the consumption of leguminous forages, highlighting both the physiological mechanisms and environmental factors that contribute to this condition. Key factors include the high soluble protein content of legumes, rapid fermentation rates in the rumen, and the formation of stable foam, …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 15, Issue 2, 2026 Read article
-
Low-Weight, High-Durability Crankshaft Development Using Glass Fiber Composites: Numerical and Experimental Investigations
Abstract: The present paper aims towards the weight reduction of crankshaft by replacing conventional medium carbon steel for a two-wheeler with composite material. The replacement is such that it significantly reduces load on other components without compromising structural integrity. It will also serves in terms of operating reliability or durability over its life span. A geometric specifications and dimensions were obtained using a 3D CAD model developed in CATIA V5. The …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
-
Industrial Prognostics via Ensemble Machine Learning: An Uncertainty Aware Framework for RUL Estimation on NASA FD004 Telemetry
Abstract: Estimating the Remaining Useful Life (RUL) of industrial machinery in real-time is now vital for both operational safety and smart resource management. In the aviation industry, turbofan engines deal with constantly shifting flight conditions, making traditional, scheduled maintenance both expensive and prone to error. This paper addresses the flaws in common “point-prediction” AI models, which offer a single failure date without any margin for error, by introducing a new, uncertainty-aware …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 2, 2026 Read article
-
Design and Implementation of a Bidirectional Long-Range Communication System for Disaster Management Applications
Abstract: In times of natural disasters like earthquakes, floods, landslides and cyclones, the normal communication lines are frequently cut, thus reducing the ability of the affected people and the relief team to communicate vital information. Cellular networks and Internet-based communication systems could be compromised in the event of a loss of power, damage to infrastructure or network congestion. Thus, it is necessary to have a communication system that will be dependable, …
Published in Journal of Communication Engineering & Systems · Vol. 16, Issue 2, 2026 Read article
-
A Critical Review of the Limitations of the Arithmetic Mean and the Robustness of the Median in Statistical Analysis
Abstract: Arithmetic mean is an extremely popular measure of central tendency used in statistical analyses, primarily because it is so easy to calculate and has many positive mathematical characteristics. However, when there are outliers, skewed distributions or heterogeneous spread of data, the reliability of the arithmetic mean diminishes greatly. This paper includes a critical review of the limitations of the arithmetic mean and an assessment of the robustness of the median …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 16, Issue 2, 2026 Read article
-
Schizophenia – An Ayurvedic Review and Treatment – A Case study
Abstract: Schizophrenia is a complex, heterogeneous disorder. It is neuro developmental disorder characterized by problems with thinking (cognition),behavior- not focused on goals, negative symptoms, suicidal thoughts This means having a reduced or impaired ability to function normally and having noemotions(notmakingeyecontact,notchangingfacialexpressions,orspeakinginamonotone).Additionally, the person may lose interest in daily activities, withdraw from relationships, or be unable to sustain and reflection often associated with hearing or speech disorders, extreme confusion and associated functional impairments. …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 11, Issue 1, 2024 · pp. 40–48 Read article
-
Possible Histological Changes in the pancreas of Female Albino Rats for Prolonged Administration of Aspartame
Abstract: Aspartame sweetener was noted to be inducing histopathological changes on the pancreatic tissue of female albino rats so this study defined the aims and objectives properly. Biometry did use materials from the animal facility of the Department of Biology College of Science, University of Kufa. The study was carried out over the duration of two months where thirty male rats aged between 15 to 20 weeks with body weight of …
Published in Research and Reviews: A Journal of Toxicology · Vol. 15, Issue 1, 2025 · pp. 15–21 Read article