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1035 articles for “LAN”
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Methodology for Evaluating Code Synthesis in Large Language Models: ChatGPT and Copilot: A Review
Abstract: The authors introduce a comprehensive framework to assess the code-generation capabilities of large language models, focusing on ChatGPT and Copilot through a benchmark suite of 25 program synthesis tasks. Their main goal was to show why making proper comparisons is important, they did not focus on choosing the newest models, since they keep changing frequently. The critique examines how the methodology addresses both functional and non-functional aspects of code. In …
Published in Recent Trends in Programming languages · Vol. 12, Issue 3, 2025 · pp. 01–07 Read article
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Natural Language Processing in Education: A Review of Applications, Challenges, and Future Directions
Abstract: Natural Language Processing (NLP) has increasingly become a transformative force within the field of education, offering innovative solutions and reshaping traditional methods of teaching, learning, assessment, and educational research. This review explores the evolving landscape of NLP applications in education, shedding light on significant advancements, ongoing challenges, and emerging opportunities. The integration of NLP into intelligent tutoring systems has enabled more personalized learning experiences, while automated assessment tools have enhanced …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 2, 2025 · pp. 11–18 Read article
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Innovative Vaccine Technologies: Current Landscape and Future Prospects in Preventive Medicine
Abstract: This review article presents a comprehensive analysis of recent advancements and emerging trends in vaccine development, offering insights into the dynamic landscape of preventive medicine. Delving into a spectrum of infectious diseases, including influenza, HIV/AIDS, malaria, tuberculosis, respiratory syncytial virus (RSV), Group B Streptococcus (GBS), norovirus, and chikungunya, the review highlights innovative approaches and breakthroughs in vaccine technology. It explores efforts to develop universal influenza vaccines, long-awaited HIV vaccines, and …
Published in International Journal of Vaccines · Vol. 1, Issue 2, 2024 · pp. 07–15 Read article
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Exploring the Landscape of Big Data: Impact, Tools, Challenges, and Opportunities
Abstract: This study explores the constantly changing field of big data, not merely as a repository of enormous amounts of information, but also as a force that is reshaping our world. It sheds light on the ways in which big data stimulates creativity and drives change in a variety of sectors, including urban planning, finance, healthcare, and environmental sustainability. Through the investigation of state-of-the-art analytics, distributed computing, and data visualization tools, …
Published in Current Trends in Information Technology · Vol. 14, Issue 1, 2024 · pp. 1–4 Read article
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Cannabinoids as Nutritional Supplements: Exploring The Potential Health Benefits and Regulatory Landscape
Abstract: Cannabinoids, the bioactive compounds derived from the Cannabis sativa plant, have garnered increasing interest for their potential role as nutritional supplements. This abstract provides a succinct overview of cannabinoids as nutritional supplements. This review delves into the multifaceted aspects of cannabinoids, particularly their interaction with the endocannabinoid system (ECS) and their potential health benefits. The exploration begins by elucidating the intricate relationship between cannabinoids and the ECS, a vital regulatory …
Published in Emerging Trends in Metabolites · Vol. 1, Issue 1, 2024 · pp. 48–53 Read article
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Mapping the Landscape of Neem Tree Research: Insights into Chemicals and Polymers through Bibliometric Exploration
Abstract: Azadirachta indica A. Juss, often referred to as Neem, is a rapidly developing tree that falls under the Meliacea family. For more than two millennia, Indians has relied on neem oil for its healing properties. Thus, to know the importance of neem tree, the study is needed. The Neem tree has been a subject of extensive research owing to its diverse array of chemicals and polymers with multifaceted applications. This …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 144–154 Read article
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LLM Evolution: Secrets and Disadvantages
Abstract: The advancement of large language models (LLMs) has initiated a significant transformation in artificial intelligence, with substantial effects on fields including natural language processing, machine learning, and human-computer interaction. This research examines the diverse improvements in LLMs, emphasizing significant milestones from early models such as GPT-2 to contemporary state-of-the-art designs. The investigation highlights the novel training methodologies, such as unsupervised learning and transfer learning, which have markedly improved the capabilities …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 1, 2025 · pp. 25–36 Read article
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Physico-Chemical Soil Analysis: A Scientific Approach to Life on Land and Terrestrial Ecosystem Conservation for Supporting SDG 15 Goals
Abstract: Soil health and fertility evaluation are foundational elements in the sustainable management of ecosystems and the enhancement of agricultural productivity. Accurate assessment of soil properties, especially Carbon (C), Nitrogen (N), and Phosphorus (P), is critical for informed decision-making in agriculture and environmental conservation. However, traditional laboratory methods for analyzing these essential nutrients often involve significant resource allocation and time commitments, making them less practical for large-scale or time-sensitive applications. To …
Published in Journal of Geotechnical Engineering · Vol. 12, Issue 1, 2025 · pp. 25–23 Read article
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Livestock and Landscapes: Rethinking Carbon Sequestration Synergies for Transforming Livestock-Raising Paradigm
Abstract: The livestock sector plays a critical role in global agricultural systems, but its impact on climate change is a growing concern due to significant greenhouse gas emissions, particularly methane and nitrous oxide. As the demand for livestock products continues to rise, rethinking current practices becomes essential to mitigate environmental degradation and enhance sustainability. This study examines the synergies between livestock farming and carbon sequestration strategies within global landscapes, with a …
Published in Research & Reviews : Journal of Ecology · Vol. 14, Issue 3, 2025 · pp. 29–43 Read article
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India’s Traditional Medicine Trade (2015–2024): Trends, Regulatory Landscape, and Policy Directions for Sustainable Growth
Abstract: India is a major global supplier of traditional medicine products – including Ayurvedic, Unani, Siddha, homeopathic, and other herbal and plant-based formulations – yet exports continue to face challenges arising from regulatory divergence, heterogeneous quality-control requirements across markets, and raw-material supply constraints linked to biodiversity pressure and fragmented value chains. This paper systematically analyzes India’s import-export patterns for traditional medicine between 2015 and 2024, maps the regulatory landscape (DGFT, Drugs, …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 13, Issue 1, 2026 · pp. 13–18 Read article
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A Reviewed Study On Cpu-Optimized Parameter-Efficient Fine- Tuning For Large Language Models To Increase Accuracy Using Lora
Abstract: The fast proliferation of Large Language Models (LLMs) has increased the need to optimize the process of fine-tuning but the existing workflows that require a GPU are still expensive, intensive, and unavailable to most researchers. This paper is driven by the desire to have a more cost-efficient and democratized version by examining a CPU-efficient implementation of Parameter-Efficient Fine-Tuning (PEFT) based on Low-Rank Adaptation (LoRA). The major purpose of the study …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 1, 2026 Read article
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Advances in Stimuli-Responsive Smart Drug Delivery Systems: A Systematic Review
Abstract: Imagine a world where medicines work smarter, not harder. Stimuli-responsive drug delivery systems (SRDDS) are transforming healthcare by releasing therapeutic agents in response to specific triggers. These triggers can be internal, like changes in pH or temperature, or external, like light or magnetic fields. By leveraging these triggers, SRDDS can optimize treatment and minimize side effects. The potential applications of SRDDS are vast, from cancer treatment to gene delivery and …
Published in Trends in Drug Delivery · Vol. 13, Issue 2, 2026 Read article
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Comparative Study of BERT Variants for Sentiment Analysis with Error Analysis
Abstract: The use of media is going up fast in India, and this has led to the rise of Hinglish. Hinglish is an informal blend of Hindi and English that people commonly use in everyday conversations, especially across social media platforms such as Twitter, Facebook, and WhatsApp. People use Hinglish to talk to each other in a way that is not very formal. Hinglish blends English vocabulary with informal usage, often …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 39–48 Read article
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Panorama of Technology Assisted Teaching/Learning Language Pedagogy: A Glance
Abstract: The dawn of the 21st century has heralded a new sun to empower teaching/learning experience. To impart quality in higher education, all universities are experimenting with new methods/techniques that can bring about a transitional shift from traditional classroom teaching to smart room learning experience. There has been a sudden shift from teacher centered classroom teaching to students centered classroom learning. The pivotal focus is on the learner’s self-learning. This is …
Published in Current Trends in Information Technology · Vol. 14, Issue 1, 2024 · pp. 12–17 Read article
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Developing a Chatbot System Utilizing Artificial Intelligence and Natural Language Processing
Abstract: Software applications commonly feature a user interface that falls into broad categories, namely graphical user interface (GUI), text-based UI, or a blend of both. This interface is predominantly employed in web-based and desktop applications. A chatbot, designed to engage with users, operates through the storage and retrieval of session data. It proves particularly beneficial in situations where obtaining information about individuals who are not affiliated as students or employees of …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 11, Issue 1, 2024 · pp. 24–29 Read article
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Strategic Solutions: How Mathematics Reshapes Industrial Landscapes
Abstract: One of the earliest and most fundamental fields of the physical sciences is mathematics. It has a significant impact on industrial enterprises' bottom lines and enhances their performance in the current data-driven market. One subfield of applied mathematics is industrial mathematics. It concentrates on issues that arise in the industry and seeks answers that are pertinent to the sector. The use of mathematical models and techniques to diverse industry difficulties …
Published in International Journal of Industrial and Product Design Engineering · Vol. 2, Issue 1, 2024 · pp. 16–23 Read article
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Effect of Sustained and Selective attention paradigm in Recalling task: a Cross-Language Study
Abstract: Attention is the ability to channelize the resource towards the stimulus. Sustained attention refers to the process of holding attention for a considerable span of time while selective attention refers to the ability selectively channelize the attention to an selected set of stimulus governed by instructions. This task would require the selective inhibition of the irrelevant stimulus. The current study was carried out with the aim of investigating the sustained …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 2, 2024 · pp. 1–6 Read article
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Natural Language Processing-Based Plagiarism Detector
Abstract: Plagiarism is the act of taking another's work and claiming it as his/her own without giving the credit. Plagiarism is a grave concern in many fields like education, literature, business, etc. The project aims for text and image plagiarism detection employed by a web application containing four modules. Text plagiarism is detected when the input is either text or PDF. For PDF, the text extraction is done from the PDF …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 2, Issue 1, 2024 · pp. 27–35 Read article
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Applying Text Analysis Methods for Emotion Recognition
Abstract: This article presents a comprehensive study of sentiment analysis, a vital task in the realms of natural language processing (NLP) and artificial intelligence (AI). Sentiment analysis involves the extraction and classification of subjective information from textual data, determining whether the sentiment expressed is positive or negative. This paper investigates different approaches and methodologies used in sentiment analysis, encompassing machine learning models as well. Additionally, it discusses the challenges faced in …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 11, Issue 2, 2024 · pp. 12–22 Read article
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The Clinical Landscape of Wogonin: Advancing Targeted Treatments for Chronic Diseases
Abstract: The traditional Chinese medicinal herb Scutellaria baicalensis Georgi, commonly known as Chinese skullcap or Huang-Qin, has long been used to treat a variety of conditions, including cancer, viral infections, and seizures. Its pharmacological effects are largely attributed to the high concentration of flavones, particularly wogonoside, and its aglycone derivative, wogonin. Among the bioactive compounds found in S. baicalensis, wogonin has garnered the most scientific attention due to its potent therapeutic …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 12, Issue 1, 2025 · pp. 46–52 Read article