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1680 articles for “BCS Class II/IV drugs”
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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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Prevalence and Distribution of Staphylococcus Aureus in Clinical Samples Across Age Groups
Abstract: The bacteria that cause everything from ordinary skin infections to serious illnesses is called Staphylococcus aureus. It is now known that Staphylococcus aureus may develop resistance to a variety of drugs. Staphylococcus aureus has been displaying an unusual kind of resistance to antibiotics, especially to those based on β-lactum. As a result, Methicillin Resistant Staphylococcus Aureus (MRSA) is the new name for the resistant strain of Staphylococcus aureus. The prevalence …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 2, 2024 · pp. 15–19 Read article
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Advancements and Challenges of Modern Breeding over Conventional Breeding
Abstract: Plant breeding dates back thousands of years, when people first deliberately bred plants based on visually pleasing characteristics. The domestication of wild plants aided this process, resulting in the evolution of numerous breeding strategies over time. Conventional breeding, which is distinguished by selective breeding based on superior performance, used procedures such as pure-line selections, mass selection, backcross breeding, recurrent selection, and hybridization. While effective, classical breeding procedures were time-consuming and …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 13, Issue 1, 2024 · pp. 1–5 Read article
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Exploring the Botanical and Pharmacological Significance of Aristolochia rotunda Linn (Zarawand Mudahraj): Traditional Uses, Habitat, and Bioactive Potential
Abstract: The plant Aristolochia rotunada Linn (Zarawand Mudahraj) is a member of the Aristolochiaceae family. Its rhizomes are the most valuable portion utilised in the pharmaceutical industry, mostly because of their abundance in bioactive compounds. The medicinal plant Aristolochia rotunda Linn exhibits a spectrum of pharmacological activities essential for combating hyper-uricaemia-induced inflammation. Its anti-inflammatory effects are mediated by inhibiting TNF-α, IL-1β, IL-8, and NF-κB p65 protein expression, crucial in synovial tissue. …
Published in Research & Reviews : Journal of Herbal Science · Vol. 13, Issue 2, 2024 · pp. 33–39 Read article
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Innovative Eyewear for the Visually Impaired
Abstract: Object detection systems are essential tools for identifying and locating objects within images or videos. When integrated into spectacles or wearable devices, these systems provide users with real-time information about objects present in their surroundings. This functionality serves diverse purposes, such as assisting visually impaired individuals in navigating their environment or offering augmented reality data to workers during tasks. Region-based Convolutional Neural Networks (RCNN) represent a prominent machine learning model …
Published in International Journal of Optical Innovations & Research · Vol. 2, Issue 1, 2024 · pp. 27–34 Read article
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Automated System for Attendance Tracking and Management Using Face Recognition
Abstract: A camera is used by an attendance tracking system that uses facial recognition to snap photos of people. After that, a computer program analyzes these images and uses facial feature analysis to identify specific individuals. Subsequently, the system can ascertain whether or not the identified individuals are present, by comparing the identified individuals to a database that already has information about known individuals. This technology can be used to expedite …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 2, 2024 · pp. 1–12 Read article
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Advancements in Handwriting Recognition: A Deep Learning Approach
Abstract: This article provides detailed information about handwriting text recognition. Some human characteristics are unique to the individual. Writing is one of the scientifically proven habits that is different for everyone. Handwriting Text Recognition (HTR) is responsible for identifying written characters and converting them into digital text. HTR is an intensively researched area, but improvements can still be made in accuracy and efficiency. Digitization of manuscripts is very useful in today's …
Published in International Journal of Radio Frequency Innovations · Vol. 2, Issue 1, 2024 · pp. 28–34 Read article
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Assessment of exacerbation of Depression in pulmonary tuberculosis patients by using PHQ-9 scale at Tertiary Care Hospital
Abstract: Context: Depression leads to more dysfunction and stress, which could affect the patient's life condition. Tuberculosis is a leading cause of comorbidity with depression. Those suffering from tuberculosis and depression are at higher risk of bad health-seeking nature, resulting in higher morbidities, drug resistance, and mortality. The relationship is not well established. Aims: To identify multiple variables/ dependent factors affecting depression respectively in tuberculosis patients and check the medication adherence …
Published in International Journal of Pathogens · Vol. 1, Issue 2, 2024 · pp. 24–31 Read article
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Differential Scanning Calorimetry, Thermogravimetric Analysis, and Dynamic Mechanical Analysis for Advanced Medical Materials
Abstract: Modern healthcare depends on advanced medical products that come up with new ways to care for and help patients. Characterizing these products is important to make sure they are safe, effective, and work well. While there are many analysis methods, Differential Scanning Calorimetry (DSC), Thermogravimetric Analysis (TGA), and Dynamic Mechanical Analysis (DMA) are the most important ones for checking the temperature and mechanical qualities of medical materials. By measuring the …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 57–72 Read article
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Chemical and Electrocoagulation Methods for Polymer Synthesis and Composite Manufacturing: Recent Technological Advances and Extensive Application Analyses
Abstract: Recent years have seen big steps forward in the fields of polymer production and composite making, thanks to the development of new chemical and electrocoagulation techniques. This abstract gives a short summary of these new developments and goes into great detail about how they can be used. Chemical production of polymers has been an important part of materials science for a long time because it lets scientists precisely control the …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 244–258 Read article
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Enhancing Profanity Detection in Dravidian Languages: Leveraging Language Models for Optimization and Improvement
Abstract: Detecting and documenting instances of abusive behaviour can significantly improve the quality of virtual environments. Given the vast amount of content published daily on social media, it is impractical for human annotators to manually identify potentially harmful content. Recent algorithmic initiatives, especially on platforms like Twitter, have advanced in abuse detection. However, for Dravidian texts, there remains a need to understand the context better and build robust language models for …
Published in Recent Trends in Programming languages · Vol. 11, Issue 2, 2024 · pp. 17–23 Read article
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Dynamic Analysis of Structures Considering Waffle Slab with and without Drops and Beams
Abstract: The seismic performance of a structure is a fundamental and vital aspect of structural engineering, carrying significant importance in ensuring safety and stability. This study investigates the dynamic behavior of structures employing waffle slab designs with and without drops and beams, focusing on varying panel sizes. Commercial buildings, each comprising 12 stories with heights of 3.5 meters, were analyzed using the Response Spectrum Method in seismic Zone III, utilizing ETABS …
Published in Recent Trends in Civil Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 41–60 Read article
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Yoga Posture Detection and Correction
Abstract: Our project introduces a pioneering method for enhancing yoga practice through real-time pose correction, utilizing cutting-edge computer vision technology. Originating in India 5000 years ago, yoga offers profound benefits for both body and mind, yet with the modern lifestyle's increasing stress levels, its popularity has surged globally. While various avenues exist for learning yoga, including classes at yoga centers and self-learning through books and videos, many individuals struggle to identify …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 2, 2024 · pp. 1–8 Read article
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Historical X-Ray on Barrier to Girls Right to Education in Northern Nigeria
Abstract: This paper focuses on exploring the barrier to girls right to education in northern Nigeria. The paper analyzed that girls are discriminated in many aspects of life; it is belief that the girls are second-class citizen or mere infidel. These bring tremendous misrepresentation of girls and women from both family, schools, institution and the society in general. The paper used secondary sources of data and suggested that educational barrier, socio-economic, …
Published in International Journal of Education Sciences · Vol. 1, Issue 2, 2024 · pp. 10–18 Read article
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Multi-factor Fused Lightpath QoT Prediction for Optical Networks: A Multiple Reservoir Analysis Strategy
Abstract: Investigating the channel quality of transmission (QoT) in-depth is crucial for responsive and instant transparent optical network management. However, current lightpath QoT predictions are devoted to univariate modeling. Due to the QoT metrics complicated time-varying process and the existing effects of inter-channel factors, despite the use of an advanced and efficient echo state network (ESN), it is difficult to obtain ideal results in univariate prediction mode. Thus, this paper considers …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 1, 2024 · pp. 28–34 Read article
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Integrating Network Pharmacology and Molecular Docking to Investigate Boerhavia diffusa for Pancreatic Cancer Treatment
Abstract: Objective: In this study, network pharmacology was applied to determine the therapeutic effects of the bioactive compounds of Boerhavia diffusa. Network pharmacology can unearth the underlying mechanisms between drugs and the disease targets and aids in the discovery of novel medications for complex conditions such as cancer. Methods: To predict the molecular mechanisms of action of Boerhavia diffusa in the treatment of was screened using the GeneCards database. The Venn …
Published in International Journal of Molecular Biotechnological Research · Vol. 2, Issue 1, 2024 · pp. 29–49 Read article
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Assessment of dietary sources, eating habits, and lifestyle among Pharmacy students in India
Abstract: Aim and Objective: Balanced Diet and their sources play a vital role in maintaining physical, mental and health, especially in college students and in teenagers. Knowledge regarding the dietary source, and eating habits of Pharmacy students is important as health care professionals play critical and central role in management and in accessing the quality of health care population. The purpose of this survey study is assessment of dietary sources, eating …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 2, 2024 · pp. 49–55 Read article
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Formulation and Evaluation of herbal multipurpose cream
Abstract: Multipurpose creams are semi-solid preparations used to lower the risk of skin disorders and fight wrinkles. The primary goal of the research is to produce multipurpose creams utilizing various herbs and then analyze their efficacy. The herbs utilized in the preparations include dried bael leaf powder, amla powder, neem powder and bael leaves. The article emphasizes the importance of topical drug delivery systems in dermatology, highlighting the benefits of delivering …
Published in Recent Trends in Cosmetics · Vol. 1, Issue 2, 2024 · pp. 44–57 Read article
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Leafguard: Smart Plant Health Detection
Abstract: Machine learning techniques, including traditional (shallow) ML, deep learning (DL), and augmented learning (AL), are being increasingly utilized for leaf disease classification. These methods involve feature extraction, data augmentation, and transfer learning to enhance model effectiveness and reduce the need for labeled data. The success of machine learning approaches in this domain hinges on the quality and quantity of data available. LeafGuard is a cutting-edge device with intelligent sensing systems …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 2, 2024 · pp. 32–39 Read article
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A Systematic Review of Method Development and Validation for Ramipril Analysis Using Hplc in Cardiovascular Research
Abstract: The field of analytical chemistry encompasses a variety of methods that are crucial in determining the chemical composition of different substances. UV-visible spectroscopy and high-performance liquid chromatography (HPLC) are two widely utilized methods that are the subject of this article. UV-visible spectroscopy uses the Beer-Lambert law to quantify light absorption, which can provide information about the concentration of absorbing species. The method is based on how light and matter interact, …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 15, Issue 2, 2024 · pp. 37–44 Read article