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144 articles for “fitness”
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Balloon Deployment Strategies for Projectile Deterrence
Abstract: This paper presents a defense strategy inspired by historical precedents, aimed at neutralizing subsonic projectiles using a swarm of balloons filled with explosive and buoyant gases, such as hydrogen. The balloons are arranged in a swarm to effectively intercept multiple incoming projectiles. Numerous military and security uses are possible for them. Operating costs for lighter-than-air aircraft are lower than those of traditional fixed-wing aircraft. Lighter-than-air vehicles can be made less …
Published in Recent Trends in Fluid Mechanics · Vol. 11, Issue 3, 2024 · pp. 25–29 Read article
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Development of Sodium Alginate Beads of Telmisartan Using Emulsion Gelation Method: Formulation and In-Vitro Characterization
Abstract: Introduction: The antihypertensive medication Telmisartan (TEL) is a member of BCS class II, which is distinguished by limited oral rate and extent and water solubility. By localizing the medication release in the stomach, gastro-retentive floating bead devices may be able to address the issues related to partial absorption and the low solubility of TEL. The preparation of TEL floating alginate beads was the aim of this investigation. The current work …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 11, Issue 3, 2024 · pp. 13–21 Read article
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Role of Functional Programming Languages in Blockchain Applications
Abstract: Functional programming (FP) languages play an increasingly influential role in blockchain applications, offering features that address critical challenges such as security, scalability, and reliability. The inherent characteristics of FP—immutability, pure functions, statelessness, and concurrency support—align well with blockchain’s decentralized and deterministic structure, making FP languages a natural fit for developing secure and verifiable smart contracts. Languages like Haskell, OCaml, and Erlang have proven effective in minimizing code errors, enabling formal …
Published in Recent Trends in Programming languages · Vol. 11, Issue 3, 2024 · pp. 21–27 Read article
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Optimization of Reaction Parameters for Biodiesel (Methyl Ester) Synthesis Using Surface Response Methodology
Abstract: The Polyoxo vanadate catalytic trans-esterification of waste cooking oil (WCO) was carried out by optimizing four reaction parameters which include: catalyst loading, methanol/oil ratio, temperature, and reaction time. These optimized parameters are 0.5 g, 0.8 g, and 1.2 g catalyst loading, 3:1, 6:1 and 9:1 methanol/oil ratio, 45°C, 60°C and 65°C reaction temperature, 45 min, 60 min and 90 min reaction time. The regression equation in the uncoded units of …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 14, Issue 3, 2024 · pp. 20–28 Read article
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Enhancing Wildlife Tourism Management Using Deep Learning and Particle Swarm Optimization (PSO) for Animal Detection in Wildlife Sanctuaries
Abstract: Wildlife tourism is one of the most thriving sectors, faced with huge challenges in terms of safeguarding protected areas. As demand for wildlife experiences accelerates, it becomes necessary to find efficient measures that are friendly to conservation. The use of these advanced techniques in this field such as YOLO and PSO algorithm presents a new dimension on managing wildlife tourism. To harness the abilities of these techniques, this research centers …
Published in Current Trends in Signal Processing · Vol. 14, Issue 3, 2024 · pp. 41–50 Read article
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Enhancing Language Proficiency: Comprehensive Vocabulary Building Strategies for Effective English Teaching
Abstract: This study investigates the effectiveness of vocabulary building strategies (VBS) in enhancing English language instruction at the University of Duhok, emphasizing student perceptions gathered through a quantitative questionnaire. A total of 86 participants were surveyed to evaluate the impact of VBS on vocabulary acquisition, aiming to identify the most effective teaching methods in this context. The analysis reveals that students have a generally positive perception of VBS, indicating that these …
Published in Emerging Trends in Languages · Vol. 2, Issue 1, 2025 · pp. 1–09 Read article
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Fabrication of Belt for Backpack for Students to Reduce the Musculoskeletal Disorders using ABS material 3D Printing
Abstract: In the present study, the design and development of a composite-based belt aim to reduce the excessive burden on the backs of schoolchildren, which often leads to musculoskeletal disorders (MSD). The belt is designed using CATIA 3D modeling software and fabricated on an FDM-based 3D printer with ABS polymer. The design process focuses on addressing physical stress caused by heavy backpacks and prolonged use of electronic devices, both of which …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 1110–1117 Read article
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Electrical Measurements on La-modified Four-Layered Aurivillius Ceramics
Abstract: Bismuth layered structure ferroelectric (BLSF) of Aurivillius family is found to be attractive owing to its scientific and technological point of view. These materials have potential ferroelectric applications owing to the fact of its high Curie temperature, high temperature piezo-devise and ferroelectric random access memory (FRAM), applications. In addition, Bi-modified compounds have shown improved ferroelectric properties. However, the plausible reason for improving ferroelectric properties in Bi-modified is still unclear. The …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 157–170 Read article
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Verilog-Based Image Processing on Field Programmable Gate Arrays: Design and Implementation
Abstract: Integrated circuits known as Field Programmable Gate Arrays (FPGAs) are frequently offered for sale off the shelf. They are known as "field programmable" because, following manufacture, they enable users to modify the hardware to satisfy particular use case needs. This makes it possible to update features and correct bugs in-place, which is very helpful for remote deployments. Configurable logic blocks (CLBs) and a series of programmable interconnects are features of …
Published in Journal of Semiconductor Devices and Circuits · Vol. 11, Issue 3, 2024 · pp. 13–26 Read article
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A Comprehensive Study of Radial Load Fluctuation on Alloy Wheels for Electric Vehicles
Abstract: Electric Vehicle’s alloy wheels are designed to allow for better heat dissipation. Manufacturers carry out many tests of a wheel to be sure, that the wheel will fit for safety reason as also their comfortability level is even bigger. Therefore, a specific design was selected for which the simulations of alloy wheel were performed under real loading conditions. The main objective of this research is to analyze the effects of …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 2, Issue 2, 2024 · pp. 47–56 Read article
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Li-Fi Visible Light: Data Transfers via LED Technology
Abstract: Li-Fi (Light Fidelity) is a cutting-edge technology that uses visible light to communicate data wirelessly, like how Wi-Fi uses radio waves. Light Emitting Diodes (LEDs) are the principal source of light in this system for information transmission. To transmit data, the LED light blinks on and off very quickly, quicker than our eyes can detect. After then, a sensor records these light signals and transforms them back into data that …
Published in Trends in Opto-electro & Optical Communication · Vol. 15, Issue 1, 2025 · pp. 1–7 Read article
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Harnessing the Power of Big Data for Personalized Marketing
Abstract: In today’s digital age, big data has revolutionized the way businesses engage with customers, driving a shift from traditional blanket marketing strategies to highly personalized campaigns. By examining large volumes of data gathered from various sources like social media, websites, and transaction records, companies can gain valuable insights into consumer behavior, preferences, and buying patterns. Personalized marketing leverages these insights into craft-tailored experiences that resonate with individual customers. For instance, …
Published in Current Trends in Information Technology · Vol. 15, Issue 1, 2025 · pp. 19–22 Read article
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Health and Wellness in the Age of Digital Landscapes: Fostering Quality of Life
Abstract: Digital technologies have been transforming the world of health and wellness, bringing unique ways to enhance people's life quality around grand scale. These developments are completely changing the way we think about social health, mental health, and physical fitness. People can better monitor, manage, and optimize their health by utilizing technologies like wearables, telemedicine, and smartphone health apps in conjunction with artificial intelligence. This study examines the various ways that …
Published in International Journal of Trends in Humanities · Vol. 2, Issue 1, 2025 · pp. 1–4 Read article
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Impact of National Education Policy 2020 on Physical Education and Sports: A Comprehensive Review
Abstract: The Indian National Education Policy (NEP) 2020 is a historic project that aims to change the nation's educational system. The focus on improving sports and physical education in the classroom is one of its main elements. The importance of holistic education, where physical well-being is equally as significant as academic achievement, is acknowledged by this approach. NEP 2020 aims to make physical education a core part of the curriculum in …
Published in Recent Trends in Sports · Vol. 2, Issue 1, 2025 · pp. 14–18 Read article
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Signal Feature Extraction and Machine Learning Techniques for Human Activity Recognition
Abstract: Human Activity Recognition (HAR) has emerged as a critical field of study with diverse applications in healthcare, fitness tracking, smart homes, and human-computer interaction. The aim of this research is to create an efficient HAR system through advanced techniques characterized by signal feature extraction and machine learning algorithms. The MEMS sensors are used appropriately during data mining to extract time-domain, frequency-domain, and statistical features, which are subsequently passed to the …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 1, 2025 · pp. 24–41 Read article
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A Family Planning, Method in Urban Women Between Age Group of 25-45, in Jeeva Hospital Satara
Abstract: Family planning addresses a woman's reproductive health, appropriate spacing between pregnancies, avoiding unintended pregnancies and abortions, preventing STDs, and enhancing the quality of life for the mother, fetus, and family as a whole. A simple random technique was used to select 50 women of reproductive age from Jeeva Hospital in Satara City. The study focused on the limitations of family planning practices among these women, who were between the ages …
Published in Journal of Nursing Science & Practice · Vol. 15, Issue 1, 2025 · pp. 1–8 Read article
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Comparative Analysis of Kinetic Models for Simulation of Biogas Production from Cow Dung and Fruit Waste via Anaerobic Digestion
Abstract: This study investigates the optimization of biogas and biofertilizer production from cow dung and fruit waste through anaerobic digestion, utilizing various microbial growth kinetic models. Simulations were conducted using the Monod, Moser, Contois, and Tessier models to predict biogas yield and assess model accuracy. Results indicated that the Tessier model provided the closest fit to experimental data, with a biogas yield of 0.45 m³/kg VS, while the Monod model overestimated …
Published in International Journal of Membranes · Vol. 2, Issue 1, 2025 · pp. 47–63 Read article
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Personalized Medicines in Pharmaceutics: Drug Delivery System
Abstract: Pharmaceutics personalized medicine is a developing area that seeks to customize medical interventions for specific patients. Instead of a one-size-fits-all approach, personalized medicine focuses on developing treatments that consider a person’s unique characteristics, such as their genetic makeup, environment, and lifestyle. This allows for more effective treatment outcomes, as drugs are specifically designed to work best for each patient, reducing side effects and improving therapeutic results. In pharmaceutics, this involves …
Published in Emerging Trends in Personalized Medicines · Vol. 2, Issue 1, 2025 · pp. 11–22 Read article
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Analysis of Gold Price Trend Using the Hidden Markov Model
Abstract: This study aims to analyze the behavior of gold prices in India through a two-state Hidden Markov Model (HMM). We first formulated crucial parameters, such as the Transition Probability Matrix (TPM), Initial Probability Vector (IPV), and Emission Probability Matrix (EPM). Subsequently, we constructed a hidden Markov probability distribution and evaluated Pearson’s coefficients to gauge the correlations separately for each state. The goodness of fit of the developed model was assessed …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 11, Issue 2, 2024 · pp. 7–16 Read article
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Diet(Nutrition) Recommender using Machine Learning
Abstract: In an era where maintaining a healthy lifestyle has become a priority, personalized dietary recommendations play a crucial role in guiding individuals towards achieving their nutritional goals. The Diet Recommendation System is an inno- vative application that combines user-specific data with machine learning algorithms to provide tailored dietary suggestions. This system is designed to simplify the process of meal planning and promote healthier eating habits. The Diet Recommendation System is …
Published in International Journal of Nutritions · Vol. 2, Issue 2, 2025 Read article