Search
731 articles for “extraction methods”
-
Silver Particles coating on polypropylene matrix for bacterial filter property
Abstract: Silver particles have a wide range of biomedical applications, including their use as drug. In this paper, we report on the synthesis of silver particles using crude aqueous extract of Manihot esculenta leaf extract. Two different (conventional stirring and ultrasonic) methods were employed in the reduction of AgNO3 process. Native extract as well Ag colloidal extract were checked cytotoxicity against Human Cervical Carcinoma cell. The anti cancer results achieved excellent …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 7, Issue 3, 2020 · pp. 16–25 Read article
-
A Mini-Review on Spectral (UV Visible, FT-IR, 1H NMR, GC-MS) Analysis of Various Shaded Dried Leaves Extracts
Abstract: To collect the different types of leaves in various places, wash collected leaves with distilled water and dried these leaves in various processes like under shade dry for 15 days, place oven (45 oC) for 1 hour. Grind well using the above-dried leaves, so these leaves are changed to powder form. Utilize these shaded dried leaves powder, to prepare extract with solvents like methanol, ethanol, hexane, carbon tetrachloride, petroleum ether, …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 13, Issue 1, 2022 · pp. 1–8 Read article
-
Maximum Power Point Tracking for Solar PV System
Abstract: There is an ever increasing demand for energy in today's world. The photovoltaic (PV) systems are the suitable options for satisfying an ever increasing need for energy and thus are being used widely around the globe. Some special methods are required for extracting the maximum available power out of PV systems because they are nonlinear in nature. The nonlinear characteristic of the IV curve of PV module has a unique …
Published in Journal of Electronic Design Technology · Vol. 7, Issue 1, 2016 · pp. 14–21 Read article
-
Comparison of Bond Strengths of Nano and Microhybrid Flowable Composites for Orthodontic Bonding: An Invitro Study
Abstract: Introduction: When the orthodontic brackets are bonded to the etched enamel, the ideal orthodontic adhesive should have optimal bond strength and be able to withstand masticatory forces as well as orthodontic forces. At the same time, when the treatment is completed, the bracket should debond without causing any damage to the enamel. There have been many recent advances in composites in general and their applications in orthodontic use is questionable. …
Published in Journal of Polymer & Composites · Vol. 10, Issue 3, 2022 · pp. 1–8 Read article
-
An Artificial Intelligence for Detection of User's Emotion from the Micro Expression of Facial Images Using Co-activated Recurrent Neural Network
Abstract: Human-computer intelligent interaction is a technically emerging field in computer science, which aims at improving the natural ways of interaction between computer and humans. The emphasis of our work relies on bridging the emotional gap between humans and computer i.e., to enable the computers to determine the emotional status of the users involved with through the facial micro-expressions. This work exploits existing methods of facial feature extraction using ABLATA and …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 2, Issue 1, 2015 · pp. 1–6 Read article
-
Antidiabetic and Antioxidant Activity of Leaves of Aegiceras corniculatum (L.) Blanco (Black Mangrove): An in vitro and in vivo Study
Abstract: AbstractPurpose: Aegiceras corniculatum (L.) Blanco, commonly known as Black Mangrove, is a species of shrub or tree mangrove with a distributed Indian mangrove forest and traditionally used to treat diabetes and other health ailments. Aim: The objective of this work was to enlighten the function of Indian mangrove variety of A. corniculatum leaves on carbohydrates blemishing reactions through diabetes using in vitro and in vivo methods. Methods: The aqueous leaves …
Published in Research & Reviews : Journal of Herbal Science · Vol. 7, Issue 1, 2018 · pp. 23–31 Read article
-
Recent Advances in Content-based Image Retrieval: Techniques and Applications
Abstract: Content-based image retrieval (CBIR) plays a vital role in computer vision, driven by the increasing need for fast and accurate image retrieval across fields like healthcare, e-commerce, and digital libraries. This study offers a detailed review of CBIR methodologies, charting their progression from traditional feature extraction techniques, such as Local Binary Patterns (LBP), to contemporary deep learning-driven methods. The transformative impact of convolution neural networks (CNNs) is highlighted, emphasizing their …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 67–71 Read article
-
Indirect Treatment Comparison in Meta-Analysis Using Three Methods for Rheumatoid Arthritis
Abstract: Background: The data were extracted from the comparative effectiveness review (CER) on pharmacological treatments for rheumatoid arthritis (RA) developed by the International University of North Carolina Evidence Based Practice Center (UNC EPC). The included studies enrolled patients with active RA despite oral disease-modifying antirheumatic drugs (DMARD) therapy. The outcome measures of choice were American College of Rheumatology (ACR) 20/50/70 response rates.Objective: To compare and find the best treatment for RA …
Published in Research and Reviews : Journal of Computational Biology · Vol. 7, Issue 1, 2018 · pp. 22–27 Read article
-
Formulation and Evaluation of a Polyherbal Lip Scrub Containing Beetroot, Licorice, and Aloe Vera
Abstract: The current research is aimed at developing and assessing a polyherbal lip scrub which contains beetroot extract, licorice extract and aloe vera gel to enhance better exfoliation, nutritional and depigmentation. The fusion method was applied to the herbal extract formulations by varying systematically the concentration of the herbal extracts to develop the 4 formulations (F1-F4) each of 15 g. These prepared formulations were tested on their important physicochemical and functional …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 13, Issue 2, 2026 · pp. 47–55 Read article
-
Biosynthesis of Magnetic Iron Oxide Nanoparticles Using Hibiscus as a Plant Source
Abstract: Green chemistry has significant role in improving and protecting the global environment and they are even competent over other conventional methods. This paper investigates the greener route to nanoparticles which were produced by coprecipitation technique using hibiscus leaf extract as a plant resource. This method has been proven cost effective, simple, economical, eco-friendly and non-hazardous. The formation and nature of synthesized magnetic iron oxide nanoparticles were characterized by UV–Vis spectroscopy, …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 17, Issue 2, 2015 · pp. 1–9 Read article
-
In vitro Antimicrobial Efficacy of Aristolochia indica Linn.: An Important Medicinal Plant
Abstract: Aim: Aristolochia indica Linn. is a medicinal plant used to cure various forms of bowel complaints, fever and skin disease. Hence in the present study this plant was tested for its antimicrobial efficacy against the microbes causing such diseases. Method: Three solvent (methanol, petroleum ether and chloroform) extracts of leaf of Aristolochia indica Linn. were tested for antimicrobial efficacy using disc diffusion method against six selected pathogenic micro-organisms: Klebsiella pneumoniae, …
Published in Research & Reviews : Journal of Botany · Vol. 6, Issue 3, 2017 · pp. 1–6 Read article
-
Encapsulation of Karela Extract in Polymer Nanoparticles
Abstract: Karela (Momordica charantia) fruit extract possesses promising antibacterial properties. However, its direct application can be limited by factors like degradation and uncontrolled release. This study explores the encapsulation of Karela extract within biocompatible and biodegradable polymeric nanoparticles as a potential strategy to enhance its efficacy. The research investigates the development of nanoparticle systems using various polymers and their impact on the stability, controlled release, and antibacterial activity of the encapsulated …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 864–867 Read article
-
Early Detection of Alzheimer’s Disease Using Machine Learning Techniques
Abstract: Alzheimer's Disease (AD) is a progressive neurodegenerative condition impacting a large global population. Detecting AD early is critical for timely intervention and effective management. Conventional diagnostic approaches involve cognitive assessments and neuroimaging, which are often lengthy, costly, and prone to human error. In this paper, we propose a novel approach for early detection of AD using machine learning techniques applied to multimodal data, including neuroimaging, cognitive assessments, and biomarkers. Our …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 2, 2024 · pp. 32–43 Read article
-
Analysis of Speech Using Different Methods
Abstract: In speech analysis, the voiced-unvoiced decision is usually performed in extracting the information from the speech signals. In this paper, two methods are performed to separate the voiced and unvoiced parts of the speech signals. These are zero-crossing rate (ZCR) and energy. In here, we evaluated the results by dividing the speech sample into some segments and used the zero-crossing rate and energy calculations to separate the voiced and unvoiced …
Published in Current Trends in Signal Processing · Vol. 2, Issue 1-3, 2012 · pp. 11–25 Read article
-
EVALUATION OF ANTIBACTERIAL POTENTIAL OF BARLERIA NITIDA NEES
Abstract: AbstractPlants are gift of nature and used as medicine in traditional medicinal system since thousands of years ago. In this study, the antibacterial potential of various solvent extracts of aerial and underground parts of Barleria nitida Nees was evaluated against eight selected human pathogens. The pathogens used in this study were Escherichia coli, Klebsiella pneumoniae, Enterobacter aerogenes, Pseudomonas aeruginosa, Proteus mirabilis, Enterococcus faecalis, Bacillus cereus and Staphylococcus aureus. The shade …
Published in Research & Reviews : Journal of Herbal Science · Vol. 7, Issue 2, 2018 · pp. 1–3 Read article
-
Automated Vessel Segmentation of Retinal Vessels using Hybrid Region Information
Abstract: AbstractRecent researches state that the categorization of retinal vessels into artery/vein (A/V) is a critical phase for automating the detection of vascular adjustments and for the calculation of function symptoms related to numerous systemic illnesses which includes diabetes, high blood pressure, and different cardiovascular situations. This paper affords an automatic method for A/V class, primarily based on the evaluation of a graph extracted from the retinal vasculature. The proposed method …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 3, 2018 · pp. 28–36 Read article
-
In vitro and in vivo Anti-Oxidant and Anti-Diabetic Evaluation of cladodes Crude Extract and Solvent fractions of Opuntia elatior mill (Cactaceae)
Abstract: Objective: Ariel part of Opuntia elatior (Cactaceae) has been used in folklare remedies to treat diabetes in America, Mexico and India. However, the anti-diabetic potential of cladodes of this medicinal plant is not scientifically validated and authenticated. The present study aimed to evaluate in vitro and in vivo anti-oxidant and anti-diabetic potential of methanol extracts and solvent fractions of O. elatior cladodes. Methods: Phytochemical analysis performed according to standard procedure. …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 12, Issue 2, 2025 · pp. 77–88 Read article
-
Evaluation for Diuretic Activity of Cassia auriculata
Abstract: The present study has been designed to elucidate the pharmacological activities like analgesic, anti-inflammatory and diuretic activities of flowers of Cassia auriculata on albino mice and rats. The doses for pharmacological activities was fixed petroleum ether, methanol and aqueous extracts was 500 mg/kg b.w. respectively. Analgesic activity was carried out by Eddy’s hot plate method. In this model, nociceptive reaction toward thermal stimuli in mice is a well validated model …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 8, Issue 2, 2018 · pp. 6–9 Read article
-
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
-
Polymer Chemistry and Its Applications in Pharmaceutical Composite Formulations
Abstract: Polymer chemistry plays a critical role in pharmaceutical formulations, particularly in enhancing drug stability, bioavailability, and controlled release. Polymers are widely utilized in drug delivery systems. Polymers are widely used in pharmaceutical sciences for drug delivery, controlled release, and stability enhancement. This paper explores the role of polymers in the extraction and formulation of glycyrrhetinic acid from Glycyrrhiza glabra, a bioactive compound. Various polymer-based extraction and purification techniques are discussed, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 216–221 Read article