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1962 articles for “IDS” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Comparative Study of AI-Driven Fashion Trend Prediction System Using AI and ML: A Review
Abstract: To overcome the challenges in fashion trend forecasting, researchers have introduced several advanced and data-driven approaches. One such method uses a long short-term memory (LSTM) model combined with an encoder-decoder architecture to extract meaningful fashion content and recognize styles from product images. This model achieves higher accuracy in predicting upcoming fashion trends by incorporating varying price intervals and has shown impressive results when evaluated on the Amazon fashion dataset. Another …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 2, 2025 · pp. 35–41 Read article
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A Study on the Incidence, Prevalence, and Causative Factors Associated with Intradialytic Hypotension During Maintenance Hemodialysis
Abstract: In Maintenance Hemodialysis (MHD), Intradialytic Hypotension (IDH) is a significant issue, occurring in around 15–30% of dialysis sessions and greatly affecting patient well-being and health outcomes. This study followed a group of 50 MHD patients for six months to investigate the frequency, prevalence, and causes of IDH. The findings revealed that having a low serum albumin level (<3.5 g/dL) was the most reliable indicator of IDH (OR: 4.1, 95% CI: …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 2, 2025 · pp. 17–29 Read article
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Pharmacovigilance: Enhancing Drug Safety Through Technology
Abstract: The research and practices surrounding the identification, evaluation, and avoidance of hazardous medication responses in people are known as pharmacovigilance. Pharmacovigilance has been defined as a kind of ongoing observation of side effects and other safety-related features of medications that have previously been introduced to the market. Pharmacovigilance has been shown to be crucial in promoting the sensible use of medications by disseminating knowledge about the negative effects that pharmaceuticals …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 2, 2025 · pp. 38–44 Read article
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One Nation, One Subscription (ONOS) : Reshaping Library Acquisition in Government Colleges of Gujarat
Abstract: The study investigates the awareness and readiness of library professionals in the government colleges of Gujarat about the One Nation, One Subscription (ONOS) program. The objectives cover to evaluate library professionals’ knowledge, recognize their requirements for infrastructure and training, identify benefits and challenges they predict and recommend the idea for the betterment of the initiative. The study divided responses into five geographical regions of Gujarat like Central, East, North, South, …
Published in Journal of Advancements in Library Sciences · Vol. 12, Issue 2, 2025 Read article
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The Impact of Spiritual Well Being on Self Concept Clarity and Emotional Intelligence Among Adults
Abstract: Spiritual well-being (SWB) plays a vital role in shaping psychological resilience, emotional regulation, and self- awareness. This study examines the impact of spiritual well-being (SWB) on self-concept clarity (SCC) and emotional intelligence (EI) in adults aged 20-40, while also exploring age and gender differences. SWB, defined as a sense of purpose, inner harmony, and connectedness, influences psychological resilience and emotional regulation. Using the Spiritual Well-Being Scale (SWBS), Self-Concept Clarity Scale …
Published in International Journal of Education Sciences · Vol. 2, Issue 2, 2025 · pp. 50–58 Read article
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Live Epidemiological Tracking of COVID-19 in Senegalese Participants of the Hajj
Abstract: Background: Since the COVID-19 outbreak, global efforts have focused on controlling the disease. However, intense cross border movements pose a risk for the emergence of new SARS-CoV-2 strains. A recent example is the detection of cases among the 2024 Senegalese pilgrims returning from Mecca, Saudi Arabia. Investigations of these cases have revealed genomic evolution of the virus. The lack of surveillance may lead to the emergence of high-threat strains. This …
Published in Recent Trends in Infectious Diseases · Vol. 2, Issue 2, 2025 · pp. 8–16 Read article
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Conceptual Framework and Hypothesis Development for Green Supply Chain Practices
Abstract: In recent decades, sustainability has gained significant attention. Green Supply Chain Management (GSCM) ensures that corporate and governmental initiatives effectively make operations more environmentally friendly, increase market share, enhance brand recognition, and boost profitability. Sustainable or "green" supply chain management integrates both financial and environmental objectives into the strategy for managing supply chain operations. This integration helps reduce carbon footprints while improving profitability and financial returns. GSCM encompasses various aspects, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 64–78 Read article
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A Review on Unmasking Merkel Cell Polyomavirus: From Discovery to Cancer Driver
Abstract: Merkel cell polyomavirus (MCPyV) is a small, non-enveloped, circular double-stranded DNA virus belonging to the Polyomaviridae family, first characterized in 2008. Epidemiological data suggest widespread exposure, with seroprevalence rates approaching 80% in adults. While primary infection is typically asymptomatic, rare integration events in Merkel cells can initiate oncogenesis, yielding Merkel cell carcinoma (MCC), a neuroendocrine skin cancer with a five-year survival rate under 60%. This review integrates findings from six …
Published in International Journal of Virus Studies · Vol. 2, Issue 2, 2025 · pp. 6–11 Read article
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Next Generation Sequencing (NGS) in Personalized Medicine: Emphasizing Public Health Beyond Reality
Abstract: NGS is a modern technology that allows researchers to quickly sequence large amounts of DNA or RNA, it is also known as massively parallel sequencing or deep sequencing. NGS has revolutionized genomic research and biological sciences by its speed, scale, accuracy, ultra-high throughput, and cost. NGS replaced the conventional sequencing method. A novel idea in healthcare is precision medicine, which involves adjusting medical care to each patient’s unique traits and …
Published in Recent Trends in Infectious Diseases · Vol. 2, Issue 1, 2025 · pp. 1–17 Read article
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Smart Detection of Wild Animals in Residential Area
Abstract: In recent years, wild animals have been increasingly spotted in residential areas, posing risks to both humans and animals. The presence of these animals can cause accidents, damage to property, or even harm to the animals themselves. Therefore, it is important to have an effective method to detect wild animals in residential areas and ensure safety for everyone involved. This research focuses on creating a smart detection system that can …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 3, 2025 · pp. 44–50 Read article
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Real-Time IR Intensity Measurement and Computation for Systems
Abstract: In contemporary defense mechanisms, infrared (IR) sensing has become a fundamental technology for identifying and neutralizing heat-seeking threats, especially concerning aircraft protection. Conventional IR detection systems, such as single-channel radiometers and basic thermal sensors, frequently face restrictions due to low spatial resolution, sluggish data processing, and inadequate user engagement. These constraints can impede the prompt identification of dangers like missile launches or flare activations, potentially endangering mission safety. Additionally, numerous …
Published in Journal of Microwave Engineering and Technologies · Vol. 12, Issue 3, 2025 · pp. 8–13 Read article
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A Comprehensive Review of Guillain-Barré Syndrome (GBS)
Abstract: The rare but potentially life-threatening immune-mediated condition dubbed Guillain-Barré syndrome (GBS) impacts the peripheral nerves and nerve roots and is generally brought on by infections. As was the scenario during the Zika virus outbreaks in Latin America (2015) and French Polynesia (2013), the incidence of GBS may consequently escalate during influenza outbreaks. Considering GBS’s clinical features and ailments course are multiple and there are currently no global clinical guidelines, the …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 15, Issue 3, 2025 · pp. 1–5 Read article
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Malicious Network Traffic Detection Using Hybrid Feature Selection with Ensemble Neural Network
Abstract: The detection of malicious network traffic is a critical aspect of cybersecurity, aiming to protect sensitive data and maintain the integrity of network systems. This study introduces a novel approach that combines hybrid feature selection with ensemble neural networks to enhance the accuracy and efficiency of malicious network traffic detection. The dataset used in this study was obtained from Kaggle and offers a wide-ranging and varied collection of network traffic …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 27, Issue 3, 2025 Read article
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Integrative Network Biology Analysis of GSE6011 Uncovers Molecular Signatures in Duchenne Muscular Dystrophy
Abstract: Duchenne muscular dystrophy (DMD) is a rare, severe neuromuscular disorder demonstrated by progressive skeletal muscle deterioration and premature mortality. Despite advances in supportive care, no definitive cure exists, highlighting the need to explore novel molecular targets. The current study aimed to uncover key dysregulated genes and molecular pathways in DMD through a dataset-specific network biology approach. Publicly available microarray data (GSE6011) from DMD quadriceps muscle biopsies of 22 patients and …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 3, 2025 · pp. 36–48 Read article
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An Efficient CNN Model for Automated Cotton Leaf
Abstract: Timely and accurate identification of cotton leaf diseases are essential for maintaining healthy crop production and minimizing agricultural losses. Early detection allows farmers to take preventive or corrective measures, reducing the risk of disease spread and improving overall yield. In this study, we propose a Convolutional Neural Network (CNN) based model for the automated classification of cotton leaf diseases using image-based detection techniques. The model is trained on a diverse …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 3, 2025 · pp. 01–10 Read article
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Artificial Intelligence in Diagnostics: Advancements, Challenges, and Future Prospects
Abstract: AI is changing (and will change) healthcare as we know it, and diagnostics might be the specialty that feels the most discomfort. Artificial intelligence-based analytical systems are facilitating the detection, diagnosis, and treatment of a variety of diseases, with better accuracy, speed, and results. Now, this abstract investigates the role of AI in diagnostics, scouring its elements, landmark techniques, transformative impact and future overview. This article explains AI and discusses …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 3, 2025 · pp. 8–17 Read article
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An Effective Privacy Preservation Technique for Enhancing Data Usability
Abstract: The rapid growth and adoption of modern database systems have created immense opportunities for researchers, industries, and organizations to extract meaningful knowledge and make data-driven decisions. While this progress has enabled the discovery of valuable patterns and trends, it has also intensified the challenge of safeguarding individual privacy. Merely removing direct identifiers such as names, social security numbers, or Aadhar card details is no longer sufficient, as adversaries can often …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 3, 2025 · pp. 35–40 Read article
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Zebrafish in Drug Research: Decoding Biological Mechanisms and Finding Novel Therapeutic Targets
Abstract: The zebrafish, scientifically known as Danio rerio, is a powerful model organism in biological research because of its favorable traits, which include rapid development, genetic tractability, and transparent embryos. Zebrafish were first identified for their use in studies of vertebrate development, but they have since spread to a variety of disciplines, such as pharmacology, clinical research as a disease model, and most notably, drug development. Zebrafish have emerged as a …
Published in Research and Reviews: A Journal of Toxicology · Vol. 15, Issue 3, 2025 · pp. 1–8 Read article
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Building a Smart Chatting Platform for Social Networking:”Guftgu”
Abstract: This research paper details the development of a location-based social networking application with a focus on offline first functionality. Guftgu is a communication application developed using React Native for the frontend and Node.js for the backend. It facilitates seamless, real-time conversations between strangers while prioritizing user privacy through complete anonymity. The platform’s intuitive interface, cross-platform compatibility, and efficient backend architecture enable smooth performance and user engagement. Designed with privacy at …
Published in Journal of Microelectronics and Solid State Devices · Vol. 12, Issue 3, 2025 · pp. 32–37 Read article
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Industry 4.0 and Smart Manufacturing: A Review
Abstract: This review looks at Industry 4.0 and smart manufacturing's idea, enabling technologies, implementation issues, and future prospects. Drawing on recent literature, the paper synthesizes key pillars such as the Industrial Internet of Things (IIoT), cyber-physical systems (CPS), artificial intelligence, digital twins, and additive manufacturing. It highlights integration requirements across supply chains, cyber security concerns, workforce implications, and standards activities that influence adoption. The literature survey focuses on empirical studies and …
Published in International Journal of Manufacturing and Production Engineering · Vol. 3, Issue 2, 2025 · pp. 14–17 Read article