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1680 articles for “BCS Class II/IV drugs”
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Detection of Driver Emotion Using Deep Learning
Abstract: High level Driver-Help Frameworks (ADASs) are utilized for expanding security in the auto space, yet momentum ADASs quite work without considering drivers' states, e.g., whether she/he is genuinely able to drive. Feelings are a significant way of behaving of people and may emerge in driving circumstances. Uncontrolled feelings can prompt unsafe impacts. To control and decrease the adverse consequence of conduct. In this paper we will distinguish the driver’s conduct. …
Published in International Journal of Electronics Automation · Vol. 1, Issue 1, 2023 · pp. 01–06 Read article
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A Pilot Study on β-lactamase Producing Escherichia coli from Bovine Milk, West Bengal
Abstract: Drug resistant bacteria have become a significant global healthcare issue that requires close attention. With regards to antibiotic resistance, E.coli and its Enterobacteriaceae family are highly notorious for their ability to swiftly spread antibiotic resistance genes, thereby posing a major concern. In order to effectively address the spread of multi drug resistant bacteria, ongoing monitoring of the microflora in milk for the presence of drug resistant genes is essential. This …
Published in International Journal of Toxins and Toxics · Vol. 1, Issue 1, 2024 · pp. 01–05 Read article
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Exploring the Influence of Colors on Primary School Learning Environments: A Psychophysiological Perspective
Abstract: Primary schools are thought of as a child's first educational experiences and should be planned with a supportive learning environment that supports the desired learning goals. This study's primary goal is to investigate how colors, a significant visual component of design, affect a child's psychophysiological and behavioural characteristics. The impact of prolonged exposure to a monochrome classroom on primary education is examined in this study. Depending on how color is …
Published in Recent Trends in Social Studies · Vol. 1, Issue 2, 2024 · pp. 01–23 Read article
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Unveiling the Role of Lead Molecules in CADD: A Systematic Review
Abstract: The word "medicate plan" alludes to the objective creation of modern drugs. Arbitrary screening of engineered compounds, engineered of organically dynamic compounds based on actually happening drugs, amalgamation of basic analogs of actually happening lead particles, and usage of the bioisosteric hypothesis are a few of the strategies that have been utilized. As a result, the most recent drift in medicate plan is to either completely enhance a lead or …
Published in International Journal of Membranes · Vol. 1, Issue 1, 2024 · pp. 37–43 Read article
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Molecular Docking Studies for the Identification of Mycobacterial Adenosine Triphosphate (ATP) Synthase Inhibitors Using Active Phytocompounds from Plants Curcuma longa, Curcuma zedoaria and Galipea officinalis
Abstract: Objective: Tuberculosis (TB), known in human history for several decades, remains the second leading infectious disease after COVID-19. Still, the occurrence of TB increases due to the bacterium’s greater survival nature. They can survive in extreme conditions by being in long latency and adapting to the host. This study seeks to identify potential inhibitors from Curcuma longa, Curcuma zeodaria, and Galipea officinalis based on ancient folklore and compare them against …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 2, Issue 1, 2024 · pp. 16–26 Read article
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A Review on Loan Approval Prediction Based on Machine Learning Techniques
Abstract: The banking industry has also benefited greatly from technological advancements. An increasing number of individuals are submitting loan applications on a daily basis. When deciding which loan applicants to approve, the bank must take certain rules into account. The bank needs to choose the best one for approval based on certain characteristics. The process of carefully verifying every person and recommending them for loan approval is laborious and fraught with …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 2, 2024 · pp. 1–11 Read article
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A Linear Regression Model Used to Analysis the Tesla Stock Price Prediction Using Machine Learning
Abstract: The stock market is a fascinating sector of the economic research. It comes in a number of varieties. Several specialists have been examining and investigating the several patterns that the stock market experiences fluctuations. Predicting the stock values of different companies using historical data has been one of the primary research projects. Stock price prediction can help people a great deal by helping them understand where and how to invest, …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 2, 2024 · pp. 8–13 Read article
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Fortifying the Blockchain Fortress: A Machine Learning Paradigm for Enhanced Security
Abstract: Blockchain technology has emerged as a revolutionary tool in the digital landscape, enabling secure and transparent transactions across a decentralized network. Despite its robust security features, blockchain systems remain vulnerable to anomalies and malicious activities. The detection of these anomalies using machine learning has become essential for protecting blockchain networks and ensuring their integrity. This project delves into the application of machine learning techniques to detect abnormal patterns within blockchain …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 33–40 Read article
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Development of Formulation for Dry Powder Inhalation of Amino Acids Aimed at Smoking Cessation: A Biomedical Perspective
Abstract: This study aims to develop an effective and compliant therapy targeting the lungs through the strategic utilization of amino acids, which play a crucial role in modulating mood and behavior during activities like smoking. L-Tryptophan and L-Tyrosine were finely micronized within the 2–4 µm range, with lactose serving as a carrier, to create a dry powder inhalation formulation. The combination of these amino acids is anticipated to elicit a synergistic …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 2, Issue 2, 2024 · pp. 18–36 Read article
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Exploring Biomedical Innovations in the Formulation and Assessment of Medicated Hard Candy Lozenges Containing Metoclopramide Hydrochloride
Abstract: The objective of this study was to formulate and evaluate metoclopramide hydrochloride medicated lozenges for antiemetic action through buccal absorption by incorporating a polymer. All formulations were developed and assessed for in-vitro drug release, physical appearance, weight variation, thickness, hardness, moisture content, mouth-dissolving time, and drug content. The prepared lozenges exhibited uniformity in weight and thickness. The hardness of all formulations ranged between 7.3–15.50 kg/cm², falling within standard limits. The …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 2, Issue 2, 2024 · pp. 50–62 Read article
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A Novel Categorization System for Pressure Ulcers Reframed in the Context of Bioinformatics
Abstract: Pressure sores are a serious complication of multi morbidity and lack of mobility. Pressure injuries are commonly encountered in geriatric patients. Certain well-recognized risk factors, such as immobility and incontinence, may predispose to the development of pressure injury (PI); consequently, risk factor modification is an important aspect of prevention and treatment. One of the fundamental documentation details when describing a wound is the use of the appropriate staging system. Each …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 11, Issue 2, 2024 · pp. 1–5 Read article
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Novel Nanotherapeutics for the Management of Diabetes
Abstract: Diabetes is a severe chronic disorder with hyperglycemia, either due to dysfunctional pancreas(Type I) or due to malfunctioned glucose utilizing entities like: liver, straight muscle or adipocytes (Type II). Type 1 or Insulin-dependent/Juvenile diabetes and Type 2 Diabetes Mellitus or Non-Insulin dependent/Adult-onset diabetes are the two broad classifications of diabetes. In case of type 1 diabetes injectable insulin is the major form of medication given and in case of Type …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 26, Issue 1, 2024 · pp. 46–67 Read article
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Angioedema-Diagnosis & Management
Abstract: Angioedema (AE) encompasses a diverse range of conditions categorized into three main groups: (1) angioedema mediated by histamine (AE-H); (2) angioedema mediated by bradykinin (AE-BK); and (3) angioedema with an unknown mechanism (AE-UNK). It can manifest on any part of the body, though commonly affected areas include the face, lips, mouth, throat, larynx, extremities, genital regions, and gastrointestinal tract. AE-H can occur by itself or in conjunction with chronic urticaria, …
Published in Research and Reviews : A Journal of Immunology · Vol. 14, Issue 2, 2024 · pp. 9–21 Read article
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An Effective Convolutional Neural Network for Identifying Cancer Blood Disorder Cells Using Microscopic Images
Abstract: Blood, bone marrow, and lymphatic systems are all impacted by hematological cancer is known as a cancer blood disorder. Blood malignancies and various blood disorders pose significant health challenges across all age groups. Early disease detection is essential for effective cancer blood disorder treatment and management. If a blood cancer is not identified in time, it may be hazardous. It results in abnormal white blood cell production by the bone …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 13, Issue 2, 2024 · pp. 29–35 Read article
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Whispers of the Microbial World: Unveiling Bacterial Dialogues through Quorum Sensing
Abstract: Quorum sensing is a special way of bacteria by which they can regulate their own gene expression as per the population density of the bacteria. It is basically a type of cell-to-cell communication pathway used by the microbes. The signal molecule which helps in this mechanism are called auto inducer(AI). As the mechanism depends by changes in the cell density, so when the cell density reaches to the threshold cell …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 14, Issue 3, 2024 · pp. 1–8 Read article
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Formulation and development of Lamivudine Nanoemulsion by using Emulsifying Polymers and It’s Evaluation
Abstract: Nanoemulsion is a novel approach to medicine delivery that helps to increase the bioavailability of drugs that aren’t particularly soluble in water. In this research work, nanoemulsion of Lamivudine was formulated by using polymers such as SPAN 80, TWEEN 80 and Whey protein concentrate with the help of Ultrasonication technology. The formulation was optimized. It was evaluated by assessing pH, viscosity, turbidity, in vitro franz diffusion study, particle size distribution, …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 22–35 Read article
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A Comprehensive Review on Inclusive Education: Critical Approach to Supporting Children with Autism
Abstract: A developmental illness that affects people to varied degrees over a range, autism spectrum disorder (ASD) is defined by difficulty with social interaction, communication, and repetitive activities. This study investigates useful methods for integrating ASD children into regular educational settings. The aim of inclusive education is to integrate students with autism spectrum disorder (ASD) into mainstream classroom environments. The review paper employed a systematic literature review approach, together with comparative …
Published in International Journal of Children · Vol. 1, Issue 2, 2024 · pp. 24–30 Read article
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In-silico Approach of Few Selected Phytoconstituents on Newer Cancer Targets
Abstract: Background: Cancer’s high death rates are mainly due to, drug resistance and unmet medical demands. It necessitates novel anticancer medications. AI tools aid in efficient and faster drug discovery by analyzing data, modeling processes and optimizing pipeline stages. Aim: The aim of this present study is to evaluate phytoconstituents against novel and newer cancer targets. Methodology: The ligands Daidzein, Resveratrol and Genistein were targeted against the Glutamate dehydrogenase (PDB ID …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 3, 2024 · pp. 12–17 Read article
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Machine Learning Driven Mobile Price Prediction Using Feature Selection and Parameter Optimization
Abstract: Machine learning calculations are utilized in many fields like money, training, industry, medication, and online business. Machine learning calculations show execution contrasts relying upon the dataset and handling steps. Picking the right calculation, preprocessing and post-handling techniques have incredible significance in accomplishing great outcomes. The Random Forest classifier, K-nearest neighbor classifier, and support vector machine methods are evaluated to forecast mobile phone price categories. The “prediction” dataset which is taken …
Published in Current Trends in Information Technology · Vol. 14, Issue 3, 2024 · pp. 18–25 Read article
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Exploring the Potential of Allium sativum Phytocompounds as B-Cell Leukemia 2 Inhibitors in Acute Lymphoblastic Leukemia: Molecular Docking Study
Abstract: Objective: Acute lymphoblastic leukemia (ALL) is a lymphoid progenitor cell malignancy that could be treated with plant-based drugs, thus alleviating the off-target effects caused by conventional chemotherapy. Since ancient days, Allium sativum has been an integral part of traditional medicine and an excellent antimicrobial, antioxidant, and antiproliferative agent. Hence, this study aims to assess the anti-leukemic potential of A. sativum phytoconstituents as the B-cell leukemia 2 protein (Bcl-2) natural inhibitor …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 2, 2024 · pp. 53–80 Read article