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1941 articles for “Didymophyes bayaramae .sp.nov. and Manipur” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Enhancing Performance of Hybrid Natural Fiber Reinforced Polymer: Insights into Processing, Characterization and Machining
Abstract: Natural fibre reinforced polymer composites (N-FRP) have gained popularity in recent years as an alternative to regular polymer composites, owing to growing environmental concerns. Natural fibers are becoming increasingly popular due to their outstanding properties such as flexibility, strength, compatibility with living creatures, and impact resistance. A notable application of natural fibers is in the medical industry, with the goal of producing cost-effective, sustainable, and long-lasting products. Combining different fibers …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 139–153 Read article
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A Community Awareness Project on Monkeypox (Mpox) and Enhanced Nursing Care for Patients: A Comprehensive Review
Abstract: Monkeypox (Mpox), a rare viral infection transmitted from animals to humans by the monkeypox virus, has attracted increasing attention due to its ability to spread between humans and its clinical similarities to other poxvirus diseases, including smallpox and chickenpox. Enhancing nursing care for monkeypox patients is imperative to manage and contain its spread effectively. On 15th October 2024, B.Sc. Nursing Interns of Holy Family College of Nursing, University of Delhi, …
Published in International Journal of Community Health Nursing And Practices · Vol. 3, Issue 1, 2025 · pp. 11–15 Read article
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Green Synthesis and Evaluation of Electronic and Optical Properties of CdS/CdTe Quantum Dots
Abstract: The CdS/CdTe quantum dots (QDs), with altered concentrations of CdS, were synthesized using straightforward precursors through an environmentally friendly green method. The synthesized quantum dots were characterization by UV–visible absorption spectroscopy, Photoluminescence (PL), and Fourier Transform Infrared Spectroscopy (FTIR) to understand their electronic and structural properties. The average particle size is nearly consistent with the values derived from Brus's formula. The UV–visible spectra show a blueshift compared with pure sample, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 185–194 Read article
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AI-Based Software-Defined Satellite in Decision Making: A Study
Abstract: For decades, satellites have been a vital infrastructure, relaying communication signals, observing Earth's climate, and providing critical navigation data. However, the traditional model of satellite operation is often rigid and reactive, relying heavily on pre-programmed instructions and ground-based control. This limits their flexibility and responsiveness in a rapidly changing environment. Enter software-defined satellites (SDS), and now, the game-changer: artificial intelligence (AI). Imagine a satellite that can independently analyze its surroundings, …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 1, 2025 · pp. 63–72 Read article
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A Review on Phytochemical and Pharmacological Properties of Anacyclus Pyrethrum (Akarkara)
Abstract: The wild species Anacyclus pyrethrum, or A. pyrethrum, is a member of the Asteraceae family. It is commonly known as Akarkara. It originated in Spain, Morocco, and Algeria, and has since spread to Sri Lanka, India, Ukraine, Germany, Myanmar, France, and Poland. It is the benefits of bioactive compounds of plant found the chemical makeup, analgesic, anti-inflammatory, and wound-healing effects of hydroalcoholic extracts of A. pyrethrum’s roots, seeds, leaves, and …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 12, Issue 1, 2025 · pp. 102–110 Read article
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Chemiluminescence: Recent Developments and Photochemical Applications in Analytical Chemistry
Abstract: Chemiluminescence (CL) is the observable production of electromagnetic radiation from a chemical reaction, typically in the form of ultraviolet, visible, or infrared light. According to subjective yield, CL has either been directly emitted from electronically excited intermediate products, or it has been supported by another molecule to emit CL. Since the 1950s, CL has been supported as a valid analytical tool, with the descriptive issued scope being limited to content …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 2, Issue 1, 2024 · pp. 20–25 Read article
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Emerging Therapies for Diabetes Mellitus: Efficacy and Safety of USFDA-Approved Drugs and Late-Stage Clinical Trials
Abstract: This review provides a comprehensive analysis of drugs approved by the U.S. Food and Drug Administration (USFDA) for managing diabetes mellitus (DM) from 2013 to 2022, including emerging treatments from phase 3 clinical trials during this period. Over the past decade, the treatment landscape for diabetes has evolved significantly, with new therapies not only improving blood sugar control but also targeting broader health outcomes like heart and kidney health. In …
Published in International Journal of Toxins and Toxics · Vol. 2, Issue 2, 2025 · pp. 11–23 Read article
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Microsphere-Based Drug Delivery: A Critical Review of Innovations and Applications
Abstract: Microspheres have emerged as a revolutionary approach in pharmaceutical sciences, offering controlled and targeted drug delivery with improved bioavailability, stability, and patient compliance. These spherical carriers, ranging from nanometers to micrometers in size, can encapsulate both hydrophilic and hydrophobic drugs, enabling sustained and site-specific release. The development of microspheres has been significantly driven by the need to enhance drug efficacy while minimizing systemic side effects. This review provides a comprehensive …
Published in Trends in Drug Delivery · Vol. 12, Issue 2, 2025 · pp. 52–59 Read article
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Study on the Method of Prediction of Complete Inflation Time of Parachute
Abstract: In general, the parachute test is a long test period, expensive, and difficult to measure with accuracy, which makes it a very laborious and laborious task due to the strong nonlinearity of the fabric of the parachute. Therefore, attempts have been made to overcome this by using a parachute testbed or by simulation, but in our country, there is no numerical simulation of the parachute, and no research has been …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 25–31 Read article
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The Effect of Salt Stress and Selenium on Some Morphological and Flowering Traits of Petunia Plants ( Petunia hybrida L.)
Abstract: This study carried out in one of the nurseries of Kufa city/Iraq during the winter season of 2024 to study the effect of salt stress caused by sodium chloride at concentrations (0, 25, 50) mmol and foliar spraying with selenium at concentrations (0, 10, 20) mg.L-1 and the effect of the study factors on some growth and flowering traits and the percentage of nitrogen, phosphorus and potassium as well as …
Published in Research & Reviews : Journal of Botany · Vol. 14, Issue 3, 2025 · pp. 29–37 Read article
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Identification of Parameters Contributing To The Land Tenancy Security For The Tribal Areas of Jharkhand
Abstract: The issue of land tenancy security among tribal communities in Jharkhand, India, has long been a subject of concern due to historical, socio-economic, and legal complexities. This study aims to delve into the multifaceted aspects of tribal land tenancy security by identifying key parameters that influence it. Through a comprehensive analysis of historical records, legal frameworks, socio-economic conditions, and stakeholder perspectives, this research seeks to provide visions into the challenges …
Published in International Journal of Rural and Regional Development · Vol. 3, Issue 2, 2025 · pp. 1–13 Read article
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Optimization of Turning Process Parameters by Genetic Algorithm Approach
Abstract: In this research, turning parameters were optimized through a genetic algorithm for the purpose to minimize surface roughness and to maximize the material removal rate. High finish quality is guaranteed through minimum surface roughness, and efficient process planning is facilitated through maximum material removal rate optimization. For predicting surface roughness and material removal rate with respect to spindle speed, feed rate, and depth of cut, the empirical models were developed …
Published in Journal of Production Research & Management · Vol. 15, Issue 1, 2025 · pp. 33–41 Read article
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The Role of Land Use and Housing Laws in Mitigating Climate Change Effects
Abstract: This study explores the crucial role of land use and housing laws in mitigating the effects of climate change, focusing on how urban planning, zoning regulations, and building codes can drive sustainable, climate-resilient development. As cities worldwide face the dual challenges of rapid urbanization and escalating climate risks, land use policies offer significant potential for reducing greenhouse gas emissions and enhancing adaptation to climate impacts. The paper examines strategies such …
Published in International Journal of Land · Vol. 1, Issue 2, 2024 · pp. 35–40 Read article
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Current Updates On Employability Of Artificial Intelligence In Healthcare Science & Research
Abstract: Over the centuries, tools have been developed to increase refinement to manipulate different tools in many ways to use human digital computers. It can perform the same types of numerical and symbolic operations that can be done by ordinary people, but faster and more reliable. Artificial intelligence algorithms applied to computer applications and software. Include knowledge-based systems. AI is the science that mimics the mental skills of humans in computers. …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 2, 2025 · pp. 72–77 Read article
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A Neuromorphic-Inspired, Low-Power VLSI Architecture for Edge AI in IoT Sensor Nodes
Abstract: As the proliferation of Internet of Things (IoT) devices continues to rise, there is an increasing demand for real-time, energy-efficient artificial intelligence (AI) processing directly at the network edge. Traditional edge AI accelerators, often based on deep learning models like convolutional neural networks (CNNs), struggle to meet the ultra-low-power requirements of battery-constrained IoT sensor nodes. In response to this challenge, this study introduces a neuromorphic-inspired, low-power very- large-scale integration (VLSI) …
Published in Journal of Microelectronics and Solid State Devices · Vol. 12, Issue 2, 2025 · pp. 41–47 Read article
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Enhancing Glaucoma Diagnosis with Deep Learning: A Study Using ResNet-50 and DenseNet-121
Abstract: Glaucoma is a leading cause of irreversible blindness worldwide, mainly resulting from progressive optic nerve damage, often related to elevated intraocular pressure. Early detection is essential to prevent vision loss, but traditional diagnostic methods rely on specialized equipment and trained professionals, making large-scale screening difficult. This study uses a publicly available fundus imaging dataset to explore the effectiveness of deep learning models for glaucoma detection. These datasets provide medical images, …
Published in International Journal of Brain Sciences · Vol. 2, Issue 2, 2025 · pp. 9–18 Read article
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Reviewing the Effect of Waste PET Strips as Fiber Reinforcement in Concrete
Abstract: Polyethylene Terephthalate also known as PET is the most commonly and widely used petroleum polymer plastic in the packaging industry. It is a well-established fact that the non-biodegradability of all plastics is a hazard to the environment. Thus, effective management of this waste is necessary. Numerous researchers have carried out studies and attempts to incorporate this plastic waste into concrete for performance enhancement. Considering the possible utilization of this waste …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 166–177 Read article
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A Review of Blocking Side-Channel Threats in Parallel Cloud Systems
Abstract: Side-channel attacks (SCAs) pose a critical security threat to parallel computing systems, particularly in shared cloud environments where multi-tenancy and resource contention create exploitable vulnerabilities. This study presents a comprehensive review of SCAs in parallel architectures, analyzing attack vectors such as cache-based exploits (e.g., Prime + Probe, Flush + Reload), timing attacks, power analysis, and network-based covert channels. We examine real-world cases including Spectre and Meltdown vulnerabilities that exposed fundamental …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 2, 2025 · pp. 15–25 Read article
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Randomized Latent Vectors for Enhanced Reinforcement Learning Exploration
Abstract: This paper investigates Random Latent Exploration (RLE), a novel reinforcement learning technique that enhances exploration using randomized latent vector conditioning. I evaluate RLE’s performance across various environments, including discrete control tasks (FourRoom), continuous control (IsaacLab), and complex visual domains (Atari games). The core approach augments traditional reward functions with intrinsic rewards, calculated as the dot product between state features and periodically resampled latent vectors. The policy and value networks are …
Published in Current Trends in Signal Processing · Vol. 15, Issue 3, 2025 · pp. 19–25 Read article
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Emerging Therapies in Respiratory Tract Infections: Current Advances and Future Perspectives
Abstract: The impact of respiratory tract infections (RTI) as a global public health problem continues to be high morbidity and mortality rates. The development of novel therapeutic approaches stemmed from the fact that conventional treatment strategies, antibiotics, antivirals, antifungals etc. have become increasingly ineffective because of rise of antimicrobial resistance (AMR). Next generation therapies, such as novel antimicrobial agents, host directed therapies and novel drug delivery systems have come on the …
Published in Recent Trends in Infectious Diseases · Vol. 2, Issue 2, 2025 · pp. 17–25 Read article