Search
794 articles for “Data Types”
-
Molecular Docking Studies of Moringa concanensis Nimmo Leaf Phytocompounds for Brain Cancer
Abstract: Phytochemicals are the secondary metabolites of medicinal plants and are considerably used in traditional cancer research. Computational methods involving virtual screening, shape and pharmacophore analysis and molecular docking have been used to select chemicals that target a particular protein or enzyme and to determine potential protein targets for well characterized as well as for novel phytocompounds. Objective of the present study is, in silico approach to identifying the anticancer activity …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 8, Issue 1, 2018 · pp. 26–34 Read article
-
Hand Grasp Recognition and Classification of Prehensile Surface EMG Signals
Abstract: Myoelectric control signals are commonly used as a convenient solution of prosthesis control for the disabled persons or amputees. Surface EMG signal being noninvasive is easy to acquire and is commonly used in prosthetic devices. Myoelectric control system is the fundamental component of modern prostheses, which uses the myoelectric signals from an individual’s muscles to control the prosthesis movements. In this paper data collected from several subjects using four surface …
Published in Current Trends in Signal Processing · Vol. 5, Issue 3, 2015 · pp. 29–38 Read article
-
Unique Approach towards Data Certainty for Data Hiding
Abstract: With an ongoing connection to web and advancement in digital communication, data redemption has been the major concern of this contemporary society. To some extent cryptography combined with steganography serves one such purpose. Cryptography works on various aspects of information security such as data confidentiality, data integrity, authentication and non-repudiation. This technique encrypts the message, but do not hide the message whereas steganography even conceals the existence of the message. …
Published in Journal of Advanced Database Management & Systems · Vol. 7, Issue 1, 2020 · pp. 27–31 Read article
-
An Overview of Artificially Generated Neural Networks Inside the Brain’s Structure in an Alzheimer’s Disease Patient
Abstract: Alzheimer’s disease produces significant neuronal loss, while the precise mechanisms and timing are yet unknown. Other types of cell death, such necroptosis, parthanatosis, ferroptosis, and cuproptosis, need further investigation. Based on brain images of people with mild cognitive impairment, this study assesses artificial neural networks (ANNs) used to diagnose and predict Alzheimer’s disease (AD). This research was conducted considering growing recognition among researchers and medical professionals regarding the importance of …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 2, 2025 Read article
-
Spice Production and Marketing in Kaffa Biosphere Reserve, Ethiopia
Abstract: Ethiopia has suitable climate condition for production of various spices, herbs, aromatic and medicinal plants useful for food seasoning, aroma, medicinal and income generation. Ethiopian is the largest consumers of spices in Africa, but the contribution of this sub-sector to national economy is very low. The study area are endowed with diversified spice types with different purpose but it is not well announced, attention is not given and still many …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 12, Issue 2, 2023 · pp. 32–42 Read article
-
FEA Simulation for Optimization of Laminated Composite Plate with Cutout in Free Vibrations
Abstract: Laminated composites have a large application in engineering. The work done in this study is to seethe free vibration response of graphite epoxy composite square plate subjected to different boundaryconditions. Finite element analysis has been done on the software ANSYS. The results obtained by thesimulation have been compared with those obtained from a published data obtained by semianalyticalsolution. It is observed that the solutions through ANSYS and that obtained throughanalytic …
Published in Journal of Experimental & Applied Mechanics · Vol. 12, Issue 1, 2021 · pp. 6–17 Read article
-
Viscoelastic Behavior and Wrinkle Formation in Cotton- Polyester Garments: A Data-Driven Approach for Textile Care
Abstract: This study investigates the wrinkle behavior of cotton-polyester blended fabrics by analyzing data from over 1,200 store-handled garments. Integrating concepts from polymer chemistry and computer vision, it aims to establish a smart textile care framework based on fiber-specific wrinkle characteristics. The research identifies how cotton’s hydrophilic and non-elastic structure results in increased wrinkling, while polyester’s thermoplastic and crystalline properties enhance wrinkle resistance. Elastomeric fibers like Lycra contribute to wrinkle recovery …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 50–60 Read article
-
Feature Extraction and Analysis of Bearing Faults: A Review
Abstract: One of the most important steps in identifying bearing problems is feature extraction. In order to provide a more meaningful dataset, it entails locating and extracting pertinent features from raw bearing vibration signals. Tasks involving categorization and prediction can then make use of these attributes. In many practical applications, such as monitoring rotating machinery or electronic components, the raw signals collected (e.g., vibration, current, temperature) are often complex, high-dimensional, and …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 20–28 Read article
-
Risk After Pediatric MRI Scanning: A Nation-Wide, Population Based Case-Control Study
Abstract: This paper investigates the potential association between pediatric MRI (Magnetic resonance imaging) exposure and the risk of developing childhood brain tumors, using action-wide, population-based and case-control methodology. The increasing use of MRI in pediatric healthcare has raised concerns about potential long-term health risks, including the risk of developing brain tumors. Detecting the presence or absence of brain tumor through traditional methods might require a lot of time as well as …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 2, 2025 Read article
-
FEA Simulation for Optimization of Laminated Composite Plate with Cutout in Free Vibrations
Abstract: Laminated composites have a large application in engineering. The work done in this study is to see the free vibration response of graphite epoxy composite square plate subjected to different boundary conditions. Finite element analysis has been done on the software ANSYS. The results obtained by the simulation have been compared with those obtained from a published data obtained by semianalytical solution. It is observed that the solutions through ANSYS …
Published in Journal of Experimental & Applied Mechanics · Vol. 12, Issue 4, 2021 · pp. 6–17 Read article
-
A Potential Framework to Secure Web Application and Database against SQL Injection Attacks
Abstract: With the rise of the Internet, web applications have become one of the most important communication channels between various kinds of service providers and clients on the Internet. The use of web-based services (such as online banking, online shopping, web-based email etc.) has become a wide-spread routine in today’s economic and social life. SQL injection attacks are the dominating type of attack on web based applications. It is the act …
Published in Journal of Web Engineering & Technology · Vol. 3, Issue 1, 2016 · pp. 27–34 Read article
-
Evaluation of Rational Use of Antibiotics and Incidence of Surgical Site Infections in a Tertiary Care Hospital
Abstract: Context: Antimicrobial resistance is a major health issue nowadays. It can be reduced by framing, educating health care professionals, strictly following and reviewing the guidelines for antibiotics usage. Many hospitals are not following standard guidelines for antibiotics usage which has led to overuse of antibiotics which contributes for the emergence of resistant strains of microbes against antibiotics. Antibiotics are used pre-operatively to reduce the risk of surgical site infections. The …
Published in Research and Reviews : Journal of Surgery · Vol. 7, Issue 3, 2018 · pp. 4–8 Read article
-
Wind Forecasting Using Various Neural Networks in Machine Learning
Abstract: Wind Power Forecasting, as the name applies is a process in which data of past is used to tell what kind of output can be expected from a wind turbine in the foreseeable future. Machine learning, can be said to be a derivation of artificial intelligence that makes it possible for the system to learn automatically and improve upon itself from faults, without needing to tell the system to do …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 8, Issue 2, 2021 · pp. 32–43 Read article
-
Role of Sports in the Development of Motivation as a Psychological Parameter among the Students
Abstract: This research study aimed to assess the role of sports in the development of motivation as a psychological parameter among students. The study's population consisted of both male and female physical education students enrolled in all universities, both public and private universities. KP, Pakistan. Two hundred twenty-six (226) students as a sample of the study. Under the direction of the study supervisor, the researcher created a Likert-type scale with five …
Published in Recent Trends in Sports · Vol. 2, Issue 1, 2025 · pp. 19–23 Read article
-
AI-Driven Multi-Objective Optimization of Conductive Polymer Composites for High-Performance Flexible Electronics
Abstract: The development of conductive polymer composites (CPCs) is critical for advancing flexible and wearable electronic technologies. However, the conventional trial-and-error approach to material formulation is time-consuming and often inefficient due to the high-dimensional nature of the design space. This study introduces a novel AI-driven framework that integrates machine learning (ML) with multi-objective optimization to accelerate the discovery of high-performance CPCs. A dataset of 1,000 experimentally reported formulations was compiled, capturing …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 734–745 Read article
-
Recent Advances of Distributed Optical Fiber Raman Amplifiers in Ultra Wide Wavelength Division Multiplexing Telecommunication Networks
Abstract: ABSTRACTRecently, many research works have been focused on the fiber optic devices for optical communication systems. One of the main interests is on the optical amplifiers to boost a weak signal in the communication systems. In order to overcome the limitations imposed by electrical regeneration, a means of optical amplification was sought. The competing technology emerged: the first was Raman amplification. One reason was that the optical pump powers required …
Published in Journal of Communication Engineering & Systems · Vol. 1, Issue 1-3, 2011 · pp. 44–59 Read article
-
Antibiotics Utilization Pattern in Pediatric Ward of Ghimbi Adventist Hospital, Ghimbi Town, Oromia Region, West Ethiopia
Abstract: Drug use evaluation is ongoing systematic process designed to maintain the appropriate and effective use of drugs. It is used to ensure that drugs are used appropriately, safely and effectively to improve patients’ health status. The general objective of the study was to assess antibiotics utilization patterns in pediatric ward of Ghimbi Adventist Hospital (GAH), Ghimbi town, Oromia region, West Ethiopia.A hospital-based retrospective cross-sectional study was conducted to assess the …
Published in Trends in Drug Delivery · Vol. 3, Issue 1, 2016 · pp. 19–30 Read article
-
Bloodline: A Efficient Interface for Urgent Blood Availability
Abstract: Blood donation and transfusion have long been critical issues, with blood shortages worldwide leading to many preventable deaths. One of the key challenges contributing to these shortages is the absence of a centralized system for managing blood donations. Traditional methods of blood collection are increasingly outdated in the digital age, highlighting the need for an automated system to streamline donation processes and provide information to those in need. To address …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 2, 2025 · pp. 28–36 Read article
-
Skin Cancer Detection System Based on Machine Learning for Recognition of Cancerous Images
Abstract: Skin cancer ranks among the most prevalent types of cancer globally and poses significant risks when left untreated. Skin cancer arises when abnormal cells proliferate uncontrollably in the skin. This uncontrolled growth can be triggered by genetic mutations, exposure to ultraviolet (UV) radiation from the sun or artificial sources like tanning beds, or various other factors. In this, the early detection of cancer plays a crucial role in treatment and …
Published in Research and Reviews: A Journal of Medicine · Vol. 14, Issue 2, 2024 · pp. 1–8 Read article
-
User App Segmentation for Better Understanding of Reviews and Password Resets Using Regression
Abstract: In today’s digital landscape, understanding users’ needs and behaviors is key to improving app experiences. This paper focuses on how we can better understand user reviews and password resets in mobile apps through a method called user segmentation. By dividing users into groups based on their feedback and password reset patterns, we aim to uncover insights that can enhance app design and security. Using a mix of user reviews and …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 1–9 Read article