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1776 articles for “identity”
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Role of the Surgical-Ward Nurse in Identifying, Escalating, and Managing Postoperative Anastomotic Leak in Colorectal Patients: A Narrative Synthesis in an Australian Nursing Perspective
Abstract: Purpose: Postoperative colorectal anastomotic leak (AL) is one of the most feared complications after colorectal surgery because of its association with sepsis, reoperation, mortality, prolonged hospital stay, delayed adjuvant therapy, and permanent stoma formation. This narrative practice review outlines the frontline role of surgical-ward nurses in the early identification, escalation, and interim management of AL within the Australian acute-care context. Methods: A narrative synthesis of contemporary consensus statements, systematic reviews, …
Published in Research and Reviews : Journal of Surgery · Vol. 15, Issue 1, 2026 · pp. 7–12 Read article
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Pharmacoinformatic Based Screening Of Phytocompound Epigallocatechin Gallate To Identify As A Potential Bcl-2 Inhibitor
Abstract: Objectives: The B-cell lymphoma-2 (Bcl-2) is a protein that is particularly though to be involved in preventing apoptosis. Bcl-2 family members also essential for cancer survival, and its over expression has been linked to tumor genesis, development and resistance to anticancer treatments. The Bcl-2 family of members that inhibit apoptosis is a promising target for the creation of anticancer drugs. Methods: The study was based on computational approach using different …
Published in International Journal of Bioinformatics and Computational Biology Read article
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Acoustic or Sonic Log Analysis Identifying the Subsurface Geophysical Changes in Hydrocarbon Bearing Zones in Oil and Gas Potential Sedimentary Basins
Abstract: The introduction of acoustic/sonic logs to oil and gas industry is barely decades old. But, even within such a short span of time it has become an integral part of most of the modern logging programmes. With the recent introduction of acoustic scope pictures, this may even hold a promise of making the old dream of seeing the hydrocarbon in situ come true. In this paper, an attempt has been …
Published in Journal of Polymer & Composites · Vol. 11, Issue 1, 2023 · pp. 22–35 Read article
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Identification of Secondary Metabolites from Zingiber officinale as Inhibitors for Keap 1-Nrf2 small Molecules through Molecular Docking Techniques
Abstract: Objective: Therapeutic plants aid in treating cancer-based cell signaling pathways and preventing certain risk factors. Zingiber officinale has a variety of anti-inflammatory characteristics also contributing to enhanced immunity, reducing cancer risk and used to target the KEAP NRF2. When overexpressed in response to oxidative stress and DNA damage, elevates the risk of developing multiple cancers. NRF2 cellular sensors, which also control and coordinate their expression aid in defending healthy cells …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 1, Issue 2, 2023 · pp. 35–48 Read article
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In Silico Docking Analysis to Identify Therapeutic Benzoic Acid Derivatives for Acute Myeloid Leukaemia
Abstract: Background: The study is anchored to initiate subjugation against modern cancer therapy for Acute Myeloid Leukaemia (AML) which involves natural therapeutics as an alternative therapy that would degrade the prospect of adverse side effects along with anti-cancer properties. Objectives: Collate the various characteristics of Giltertinib with natural benzoic acid derivative phytochemicals for a disquisition regarding their similarities and differences in the context of providing adverse side effects. Methods: ADME toxicity …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 1, Issue 2, 2023 · pp. 50–63 Read article
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Identification and Categorization of Brain Tumors
Abstract: Brain tumors are a serious and aggressive disease that can lead to a reduced life expectancy. Strategic and well-thought-out treatment planning significantly contributes to improving a patient's overall quality of life. Many different imaging techniques, such as Magnetic Resonance Imaging (MRI), Computed Tomography (CT) and also ultrasound are used to evaluate tumors in different parts of the body, with a focus on using MRI images for brain tumors. It is …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 1, Issue 2, 2023 · pp. 32–37 Read article
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A study to assess the effect of nutritional supplementation on the hemoglobin level and the associated signs and symptoms of the students identified with anaemia in selected colleges of SNDT Womens’ University Mumbai
Abstract: The purpose of this study was to assess the effects of nutritional supplements on haemoglobin levels and related symptoms among students at SNDT Women's University in Mumbai who had been diagnosed with anaemia in a few particular institutions. Non-occurrence A sample of thirty anaemic students was selected via easy sampling. With a one-group pre-test-post-test methodology, the study used a descriptive evaluative design. Data collecting instruments included measurement devices, opinion questionnaires, …
Published in Emerging Trends in Personalized Medicines · Vol. 1, Issue 2, 2024 · pp. 16–25 Read article
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Deploying an IoT-Enabled Smart Grid Automation System for Continuous Optimization and Fault Identification
Abstract: The proposed paper discusses the “integration of IoT in smart grid” which has been elevated facilitating new ideas to facilitate developments of infrastructure for electric power. IoT has been a very important tool for power grids which makes them smarter and more advanced as compared to traditional power grids. This paper focuses on to the prototype designing which will help in finding and monitoring the power, current, voltage, energy consumption, …
Published in Journal of Power Electronics and Power Systems · Vol. 14, Issue 1, 2024 · pp. 01–8 Read article
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Identification of Brain Stroke Using Artificial Intelligence
Abstract: Globally, strokes are the primary cause of disability and mortality. Recently, machine learning (ML) and deep learning (DL) have been employed by artificial intelligence algorithms as effective stroke diagnosing techniques. These days, machine learning and data mining technologies are used in the construction of the main models. We have used five machine learning algorithms to determine if a stroke has occurred or is likely to occur based on a patient’s …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 2, 2024 · pp. 15–22 Read article
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Identification of the Potentialities of Ecotourism
Abstract: Khalkhal town's climate, geography, topography, ecological conditions, vegetation, and green spaces make it an exceptional tourism destination. Located in the Talesh foothills, Khalkhal enjoys a favorable climate and abundant water resources, attracting nature lovers. To unlock the town's tourism potential, it is crucial to assess its diverse attributes. Information layers such as slope, geographical direction, vegetation, and climate are individually analyzed. The best zones for the development of ecotourism in …
Published in International Journal of Climate Conditions · Vol. 1, Issue 2, 2024 · pp. 1–8 Read article
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Identifying and Blocking of Non-productive Calls in Emergency Call System Using Machine Learning and IVRS Integration
Abstract: The Dial 100 emergency reaction gadget handles over 1,000,000 calls every day, with over 95% being unproductive, such as blank, machine-generated, and spoofed calls. These futile calls waste resources and put off responses to actual emergencies. This look presents a comprehensive solution integrating advanced name evaluation, system learning, and an interactive voice response system (IVRS) to filter out and prevent these calls. Our technique starts with studying incoming calls to …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 3, 2024 · pp. 20–28 Read article
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Deep Analysis of the Banknote Identification and Counterfeit Detection
Abstract: The production of counterfeit paper currencies has become cheaper due to advancements in printing technologies and graphic design. The circulation of fake currencies negatively impacts a country’s economy. This paper aims to develop an intelligent system for detecting and categorizing counterfeit currencies, which also plays a significant role in the field of human–computer interaction (HCI). The paper delves into the history of counterfeit currencies and the development of techniques used …
Published in Journal Of Network security · Vol. 12, Issue 3, 2024 · pp. 13–17 Read article
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An Innovative AI-Integrated Approach for Identifying the Tensile Robustness of Polymeric Materials
Abstract: Polymeric materials have so many applications and character similar to flexibility, robustness and lightweight nature they are essential to a large variety of industries. Though, it is difficult to establish their tensile robustness appropriately, particularly in a variety of environmental situation. Provide a recommended Artificial Intelligence (AI)-integrated method to decide the issues of rapidly ascertaining the tensile robustness of the polymeric material. Using machine learning (ML), this study, predicted and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 90–97 Read article
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Pneumonia Identification Using Explainable Artificial Intelligence
Abstract: Pneumonia, including tuberculosis (TB), remains one of the leading causes of death worldwide, especially in regions where access to healthcare is limited. Early and accurate diagnosis is critical for effective treatment and better patient outcomes, but traditional methods are time-consuming and require specialized expertise. This study explores the use of advanced deep learning models VGG16, VGG19, and ResNet50 to detect pneumonia and TB from chest X-ray images. By leveraging transfer …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 3, 2025 · pp. 01–11 Read article
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Leveraging Deep Learning for Accurate Weed Identification
Abstract: Weed control is very important for all types of agricultural businesses. The project here revolves around the application of computer vision techniques and, more concretely, deep learning techniques, for the effective recognition and classification of weeds. The EfficientNetB4 architecture is an appropriate backbone as its scalability and performance optimization is adequate. The modifier used is Adam optimization algorithm which will serve as a pre- processor for the model. Weeds at …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 90–99 Read article
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Synthesis, Identification and Bio Evaluation of New Thiophene Derivatives
Abstract: Thiophene is considered one of the most effective cyclic sulfur compounds in organic and pharmaceutical chemistry due to its high stability in various chemical reactions. It plays a key role as an antifungal agent in treating skin allergies, as well as in the preparation of polymers, rubber, and other materials. Recent research has focused on incorporating sulfur compounds into the synthesis of organic compounds because of their high stability in …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 17, Issue 1, 2026 · pp. 31–43 Read article
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Deep Learning based Solution for Leaf disease Detection in Crops and Fertilizer Recommendation
Abstract: The field of agriculture faces significant threats, including diseases that attack plant leaves. To address this issue, our system assists farmers in promptly detecting plant diseases using advanced technology. The user, typically a farmer, only needs to capture an image of the affected leaf and input it into our system. Our system then analyzes the uploaded image to accurately identify the specific disease afflicting the leaf. This analytical process is …
Published in Current Trends in Signal Processing · Vol. 14, Issue 3, 2024 · pp. 31–40 Read article
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Emerging Challenges in RFID in Library: A Review
Abstract: A library is a living, breathing entity. Because of the advancement of the Internet and new information technology, library and information workers now have tremendous potential. RFID (Radio Frequency Identification), the pinnacle of ubiquitous computer technology, has long been the talk of the town and is employed by a variety of organizations, including libraries and information centers. RFID is a cutting-edge automated library technology that automatically identifies and tracks library …
Published in Journal of Advancements in Library Sciences · Vol. 11, Issue 1, 2024 Read article
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The Relationship between Presentation of Online Self and Conscientiousness in Emerging Adults in India
Abstract: With the rise of social media use, understanding how individuals curate their online presence and experiment with different aspects of their digital identity is crucial in determining whether their online self is an extension of their offline identity or a distinct construct. This necessitates an examination of personality traits, particularly conscientiousness, to explore its role in online self-expression. Existing research suggests that individuals with high conscientiousness tend to maintain consistency …
Published in International Journal of Behavioral Sciences · Vol. 2, Issue 2, 2025 · pp. 38–45 Read article
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Application of Artificial Intelligence in Drug Discovery
Abstract: The application of artificial intelligence (AI) in medicine, especially through machine learning (ML), is revolutionizing new-age drug discovery research. AI is found as an efficient and powerful tool to narrow the gap between disease detection and developing and identifying potential therapeutic agents for a cure. This review provides a summary of the latest developments in AI and its potential application in drug discovery for untreatable diseases. The review also examines …
Published in Emerging Trends in Chemical Engineering · Vol. 12, Issue 3, 2025 · pp. 22–29 Read article