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27 articles for “Corpus”
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An Indian Corpus of Gestures for Nouns and Verbs: A Preliminary Study
Abstract: The study aimed to develop a corpus of comprehensive gestures for a set of nouns and verbs in the Indian context. The study was conducted in the following three phases. Phase 1: Gestural nouns and verbs were selected from the existing word lists. Phase 2: A set of 221 nouns and 122 verbs were enacted and recorded by a professional actor and a cameraman respectively. Phase 3: Two groups of …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 11, Issue 1, 2021 · pp. 18–32 Read article
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A Split and Merge UNet: A Deep Learning Assisted UNet Model to Segment Corpus Callosum of Brain for Automatic Autism Detection
Abstract: In recent years, deep learning techniques have shown remarkable performance in various image analysis applications, particularly in the domain of medical image processing. Among these, image segmentation plays a critical role, as it helps in isolating and analyzing specific regions within medical images. The proposed study focuses on segmenting the corpus callosum, a vital structure in the human brain, using a novel optimization technique known as the Split and Merge …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 3, 2024 · pp. 1–9 Read article
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Improvement of Motor and Sensory–Motor Behaviors after the Human Amniotic Epithelial Cells Transplantation in 6-OHDA Lesioned Corpus Striatum of Wistar Albino Rats
Abstract: Deficits in apomorphine-induced rotation and rotarod in rat have been proposed as a nondrug-induced model of the akinesia associated with the Parkinson’s disease. In the present study, we examined the disabilities in the rotarod and apomorphine-induced rotations have been observed after the 6-hydroxydopamine-induced denervation in the striatum. These impaired activities have reversed after the Human Amniotic Epithelial (HAE) cells transplantation during long-term observation. The neuronal densities and diameter were reduced …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 4, Issue 2, 2014 · pp. 34–45 Read article
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Managed Pressure Drilling for Improved Well Control: A Cross-Case Comparative Study (2015–2025)
Abstract: Managed Pressure Drilling (MPD) has matured over the past decade from a specialist technique applied to challenging wells into a mainstream drilling capability spanning ultra-HPHT exploration, deepwater development, unconventional tight-gas multi-well campaigns, and naturally fractured sour-gas reservoirs. Despite this maturation, the operational question of which MPD variant should be applied to a given well has been addressed in the literature case-by-case rather than through structured comparative synthesis. This paper presents …
Published in Journal of Petroleum Engineering & Technology · Vol. 16, Issue 2, 2026 · pp. 07–12 Read article
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Effect of Unani Pharmacopeial Formulation Damavi on Iron Profile in Cases of Anaemia
Abstract: Anaemia is decrease in red blood cells or haemoglobin in blood; its frequency is around 2.36 billion i.e. 33% in 2015. Important symptoms associated include paleness of skin, weakness, shortness of breath, poor ability to exercise, etc. Many Unani formulations are used for treating anaemia but in this study, Tab. Damavi was used to see its effect on iron profile. This study was carried out at Regional Research Institute of …
Published in Research and Reviews : A Journal of Immunology · Vol. 12, Issue 1, 2022 · pp. 9–15 Read article
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Marchiafava Bignami Syndrome: A Review
Abstract: Marchiafava-Bignami syndrome (MBS) is a rare neurological disorder characterized by demyelination and necrosis of the corpus callosum, which is the main bundle of nerve fibers connecting the two hemispheres of the brain. MBS primarily affects individuals with chronic alcoholism, although cases unrelated to alcohol consumption have also been reported. The corpus callosum is affected in almost a pathognomonic way. The clinical presentation is based on neurological impairment, motor abnormalities, seizures, …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 1, 2024 · pp. 21–25 Read article
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Human Deep Skin Surface Vibration Frequency Detection from CT and DT Signals Using Genetic Algorithms
Abstract: To diagnose respiratory problems early on, a contactless, non-invasive, real-time assessment of human vibration is a crucial prerequisite. Optoelectronic plethysmography (OEP) and the forced oscillation technique (FOT), are two widely utilized methodologies, depending on variations in each patient’s local chest impedance. Calibration of the devices before each measurement is hence the primary problem of these approaches. This report presents a simulation-based analysis to assess the effectiveness of the CT and …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 2, Issue 1, 2024 · pp. 9–16 Read article
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Automatic Language Identification using Basic Signal Class
Abstract: Automatic language identification (ASLID) is a problem of identifying an unknown language from spoken utterance by a computer. A segmental approach to ASLID based on the assumption that the acoustic structure of languages can be estimated by segmenting speech into three basic classes of speech signals. This paper presents a procedure of ASLID with the details of methodology and the results without recognizing the words, but the lengths segments of …
Published in Trends in Electrical Engineering · Vol. 9, Issue 2, 2019 · pp. 12–19 Read article
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Treatment of Severe Iron Deficiency Anemia with the Traditional Koryo Medicine—Ginseng Anticancer Composite Drug (GACCD)
Abstract: In contrast to many medical conditions whose discovery carries a specific date often associated with a particular investigator, iron deficiency is an ancient disorder that stretches to the dawn of human history. In recent years, Iron deficiency anemia (IDA) is a disease that has reached epidemic proportions affecting countries worldwide, when it commonly begins from denutrition. Iron deficiency produces microcytic hypochromic red cells and substantially depresses both the mean corpuscular …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 8, Issue 3, 2019 · pp. 13–17 Read article
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Security of Cloud Computing from a Blockchain Perspective
Abstract: Originally, the foundation of the Internet was trust. There are increased threats and problems after many information disclosures. We have employed even more modern Internet-based devices in recent years. Among the primary issues raised in literature, privacy, data protection, and trust require particular consideration. In this case, a new paradigm for information security has arisen, one that is built on transparency rather than the closed, cryptic methods used in present …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 1, 2024 · pp. 7–11 Read article
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A Real-time Visualization Framework to Enhance Prompt Accuracy and Result Outcomes Based on the Number of Tokens
Abstract: In the rapidly evolving domain of artificial intelligence (AI), the efficacy of user-generated prompts has emerged as a critical factor influencing the quality of model-generated responses. Current methodologies for prompt evaluation predominantly rely on post-hoc analysis, which often leads to iterative prompting and increased computational overhead. Furthermore, the challenge of “prompt hallucinations,” where AI models produce irrelevant or nonsensical responses, persists as a significant impediment to effective AI utilization. The …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 45–53 Read article
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Advancements in Method Development and Validation for Levocetirizine: A Comprehensive Review
Abstract: This review article delves into the intricate realm of concurrent estimation of multiple compounds, with a specific emphasis on Levocetirizine and its related substances. It looks into how to improve analytical process specificity by using reverse phase high-performance liquid chromatography (RP-HPLC) in conjunction with UV detection. The study meticulously explores the intricacies of method development and validation, offering invaluable insights into the realms of precision and accuracy within pharmaceutical analysis. …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 11, Issue 1, 2024 · pp. 15–27 Read article
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A Supervised Learning Approach for Toxic Comment Detection on Social Media Platforms
Abstract: Nowadays everyone uses social media platforms like X (formerly Twitter), Instagram, Facebook, etc. for various purposes. With the help of this, we share our opinions, ideas, and feelings. Generally, the datasets obtained from the internet are constructive; however, there is a significant proportion of toxic ones. The datasets are filtered to remove noise, and noise is removed in post-processing. The study initiates with the upload and preprocessing of a toxic …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 2, 2024 · pp. 7–14 Read article
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Sentiment Analysis of X (Formerly Twitter) Using Machine Learning
Abstract: Sentiment analysis is a methodology to determine the nature and behavior of each and every user for the content posted on the social media platform in the form of post and feed. Consumers of the online platform are encouraged to post reviews of the product that they purchase. Little attempt is created by Amazon to confine or limit the content of these reviews. The number of reviews for various merchandise …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 11, Issue 2, 2024 · pp. 28–37 Read article
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AI Hindi Poem Generator
Abstract: The Hindi Poetry Generator project represents a pioneering initiative in the domain of computational creativity, blending machine learning algorithms and natural language processing methodologies to craft poetic expressions in the Hindi language. Rooted in the vast landscape of Hindi literature, this project harnesses the power of deep learning models to generate evocative and culturally significant poetry. At its core, the system relies on neural networks and sophisticated language modeling techniques …
Published in Recent Trends in Programming languages · Vol. 11, Issue 2, 2024 · pp. 10–16 Read article
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The Road Map of Jindal’s and Tata’s CSR Towards the Upliftment of Handicraft Workers at Ranchi District in Jharkhand State
Abstract: The purpose of this research is to look into the Corporate Social Responsibility (CSR) activities undertaken by Tata and Jindal Group to help handicraft artists. Handicrafts are an essential element of India's cultural history and a source of income for many rural populations. However, the industry has several obstacles, including a lack of market access, poor pay, and training opportunities. Two of India's major corporate houses, Jindal and Tata Group, …
Published in International Journal of Trends in Humanities · Vol. 1, Issue 2, 2024 · pp. 25–35 Read article
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Realtime Life Cycle Assessment, Synthesizing Life Cycle Inventory with Business Process Management, Sustainable Growth in the Fourth Industrial Revolution
Abstract: A prevalent methodology for evaluating the ecological impacts of processes and products throughout their entire life cycle is known as Life Cycle Assessment (LCA). This approach involves scrutinizing each phase, encompassing the extraction of raw materials, manufacturing, utilization, and disposal. Nevertheless, conventional LCA methods often fail to account for the dynamic nature of industrial processes and are deficient in real-time data. The Life Cycle Inventory (LCI), a pivotal component of …
Published in International Journal of Industrial and Product Design Engineering · Vol. 2, Issue 2, 2024 · pp. 1–9 Read article
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Enhanced Task Automation through IoT and ChatGPT Integration in Personal AI Companions
Abstract: A new breed of clever, likable, and natural-sounding personal AI companions could be produced by integrating ChatGPT with IoT gadgets. The Internet of Things (IoT) and artificial intelligence (AI) are developing at a rapid pace, which has created exciting new opportunities for the creation of intelligent and personalized companions. The goal of this suggested system is to improve user experiences by offering a flexible AI-driven assistant. It does this by …
Published in Recent Trends in Sensor Research & Technology · Vol. 11, Issue 2, 2024 · pp. 19–24 Read article
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Botanical Blockade: Phytochemical Targeting Of Nf-Κb in Cancer Therapy
Abstract: The control of inflammation, corpuscle survival, proliferation, and allowed response are all influenced by the acute archetypal agent NF-κB. Its abnormal activity is typically seen in a range of malignancies, where it aids in bump advancement, metastasis, and treatment waste. The function of NF-κB in scar analysis is discussed in this product, along with significant phytochemicals that seem to be interested in targeting this pathway, based on recent investigation. It …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 12, Issue 1, 2025 · pp. 13–21 Read article
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Acoustic Sensing for City Flow: Quasi-Supervised Recognition of Sirens and Traffic for Urban Mobility Intelligence
Abstract: This paper frames environmental audio as a mobility telemetry source, extending a benchmark urban-sound corpus with transportation-critical classes—ambulance, firetruck, police, and traffic—and training spectrogram-based models under a quasi-supervised regime to support real-time city operations; leveraging 10-fold protocols, class-weighted objectives, and audiospecific augmentations (time stretch, pitch shift, SpecAugment, PatchAugment), the system benchmarks multiple CNN backbones combined with self-supervised learning paradigms enable the extraction of rich, discriminative acoustic representations, achieving strong multi-class …
Published in Trends in Electrical Engineering · Vol. 16, Issue 1, 2025 · pp. 42–50 Read article