Search
1981 articles for “(IM)” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
-
Identification of important wild woody plant species in Debub Ari and Bena-Tsemay district
Abstract: The current study was conducted in Debub Ari and Bena-Tsemay districts of South Omo zone in Southern Ethiopia. This study was initiated to identify important wild woody plant species to increase their suitability and accessibility for human desires. A multi-stage sampling procedure was employed to carry out this study in the selected districts where the resources are available. The result showed that there was forest resources from which important wild …
Published in Research & Reviews : Journal of Botany · Vol. 12, Issue 2, 2023 · pp. 36–44 Read article
-
Ayurveda Dietetics: A Solution for the Impediments in Dietician Theory
Abstract: Background: What makes food important, is it calories or nutrition? Or something else, like flavour, fads or appetite of a consumer. Diet prescribed on the basis of calories and nutrition, goes absolutely futile if appetite of a user, flavours of food and trending eating pattern are uncared for. Appetite being a physical entity enables to take food at on time and facilitate the process of digestion and assimilation of food. …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 5, Issue 3, 2016 · pp. 12–17 Read article
-
Enhancement of Some Pharmaceutically Important Secondary Metabolites By in vitro Techniques
Abstract: AbstractSecondary metabolites are economically important as drugs, dyes and pigments, pesticides, and food additives. The evolving commercial importance of secondary metabolites has in recent years resulted in a great interest in mechanism of secondary metabolism, especially in the production of bioactive plant metabolites by means of tissue culture technology. Plant cell and tissue culture technologies can be established for both multiplication and extraction of secondary metabolites. Strain improvement, methods for …
Published in Research & Reviews : Journal of Herbal Science · Vol. 3, Issue 1, 2014 · pp. 6–14 Read article
-
Potential of Semi-automatic Object-based Land Cover Classifications using Very High Resolution Satellite Images: Tetuan-city Comparison Case Study
Abstract: Nowadays, mapping agencies need to update their topographic and information systems databases in order to draw: (i) urban planning (e.g., urban sprawl, road networks, etc.), and (ii) environmental planning (e.g., ecological corridors, forest change, etc.). In this context, object-based land cover classifications using very-high resolution satellites (VHRS) images (e.g., IKONOS, QuickBird, GeoEye WorldView-2, and recently Pléaides) are interesting tools to satisfy the needs of both scientific community and decision makers …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 2, Issue 3, 2013 · pp. 19–29 Read article
-
Estimation of Population Mean Using Ratio cum Product Imputation Techniques in Sample Survey
Abstract: In this paper, three generalized classes of ratio cum product compromised imputation techniques in single phase sampling scheme and its properties have been studied. Their mean square error (MSE) expressions and percentage relative efficiency (PRE) are compared with the sample mean, ratio, compromised and Ahmed method of imputation in case of missing data, and necessary conditions are derived. Further, theoretical results have been verified through empirical studies with the help …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 38–49 Read article
-
Estimation of Population Mean Under SRSWOR Using Imputation Technique
Abstract: This research work suggests four log-type imputation methods using auxiliary information for missing observations in a data set. These methods consist of corresponding point estimator for estimating population mean under simple random sampling without replacement. Bias and mean square error expressions are derived up-to first order of approximation. Percent relative efficiency of suggested estimators is compared with the existing estimators using four population real data sets. And it is empirically …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 2, 2018 · pp. 12–20 Read article
-
Multispectral Imaging Camera Sensing to Evaluate Vegetation Index from UAV
Abstract: Agriculture in India is always on top priority. With an increase in population and rise of it in coming generations, it is a challenge to meet the demand of indefinite food supply. The study describes the use of multispectral imaging sensors to help farmers getting the real and live data about their agriculture fields. Farmers are the backbone of/for any country in the world and they generate a good amount …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 8, Issue 2, 2019 · pp. 30–42 Read article
-
Immunohistochemical Detection of c-Myc in Lungs of Sheep with Ovine Pulmonary Adenocarcinoma
Abstract: vine pulmonary adenocarcinoma, a naturally occurring lung cancer of sheep was diagnosed in seventeen cases at slaughter houses. Lung tumor tissues and associated lymph nodes were collected for histopathological and immunohistochemical studies. Histologically, the lung sections from OPA cases revealed areas of non encapsulated proliferation of alveolar epithelial cells in papillary or acinar pattern. Polyploid ingrowths were also noticed into the bronchioles. On immunostaining of lung sections, JSRV-MA protein was …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 4, Issue 2, 2015 · pp. 13–17 Read article
-
A Review on the Improvement of Power Quality of Renewable Energy Sources Based Power Systems
Abstract: With increasing energy demands and constant depletion of conventional energy sources, importance of renewable energy sources has increased. It has become important to expand the use of renewable energy resources. The major challenges before renewable resources are that they produce voltage and frequency fluctuations and harmonic pollutants are introduced in them, and they decrease the overall performance or efficiency of the energy resources. This study reviews about all the issues …
Published in Research & Reviews : Journal of Physics · Vol. 8, Issue 2, 2019 · pp. 37–43 Read article
-
Modulation of Receptor Proteins: A Recent Paradigm in Drug Discovery and Target
Abstract: The main aim in drug discovery is to design different ligands those work on specific drug targets. However, various effective drugs work through the modulation of many proteins than single target. Advancement in system biology are establishing a phenotypic strength and a network structure, which suggests that, the excellent selective compounds may be performed less than desired clinical efficacy in comparison to multi-target drugs. In this new appreciation of the …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 5, Issue 1, 2018 · pp. 14–24 Read article
-
Identification of Papaya Fruit Ripening Process Using AI
Abstract: Identifying the ripening process of papaya fruit using artificial intelligence involves employing machine learning algorithms to analyze various features such as color changes, texture alterations and chemical compositions. This model is capable of analyzing visual cues to determine the stage of ripeness. The dataset compares images of papaya at various ripening stages, and our AI model demonstrated high accuracy in classifying these stages. Employing machine learning algorithms and image processing …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 13, Issue 2, 2024 · pp. 23–30 Read article
-
Decompensated Liver Failure and Acute Renal Failure in a Patient with Chronic HBV,HCV, and HIV Infections
Abstract: This case study focuses on a 30-year-old male patient suffering from decompensated liver failure and acute renal failure, complicated by chronic hepatitis B (HBV), hepatitis C (HCV), and HIV/AIDS. Presenting with severe abdominal pain, nausea, and general weakness, the patient had a history of alcohol and intravenous drug use, leading to chronic liver disease and acute renal failure. Despite aggressive interventions, including intravenous antibiotics and fluid therapy, his condition worsened …
Published in International Journal of Pathogens · Vol. 2, Issue 1, 2025 · pp. 17–23 Read article
-
Eye Disease Classification Using K-means Clustering Algorithm and Ensemble Classification Approach
Abstract: In this study, we present a comprehensive approach for the classification of eye diseases, specifically targeting normal, cataract, glaucoma, and diabetic retinopathy conditions. This research uses a dataset from Kaggle, which provides a wide and varied collection of retinal images to ensure good representation. The methodology encompasses advanced image processing and machine learning techniques to ensure accurate diagnosis and prediction. The preprocessing phase involves a series of image enhancement techniques …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 2, 2025 · pp. 15–27 Read article
-
Vaccines Through Time: Conventional Foundations and Next-Gen Innovations–Part 1
Abstract: Vaccination serves as a critical pillar of global public health, markedly decreasing infection rates and associated mortality. Traditional vaccine platforms such as live attenuated, inactivated, toxoid, and subunit vaccines have demonstrated effectiveness against pathogens like Mycobacterium tuberculosis and Plasmodium spp., yet they are constrained by antigenic variability, limited immune persistence, and complex production processes. Breakthroughs in synthetic biology, structural antigen design, and computational vaccinology have driven the development of advanced …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 16, Issue 1, 2026 · pp. 53–70 Read article
-
Design and Development of Screw Detection System : A case study
Abstract: This study explores the design of a vision-based screw detection and orientation system for industrial automation, inspection, and robot disassembly. By integrating machine learning algorithms like region-based convolutional neural networks (R-CNN) with traditional image processing and impedance sensing, the system performs real-time screw presence detection, head type identification, and alignment. Three key technologies—deep learning classification, edge-based geometric analysis, and impedance verification—are integrated into a single modular system. The findings indicate …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 4, Issue 1, 2026 · pp. 30–36 Read article
-
A Conceptual Study of Function of Ojas w.s.r. to Vyadhikshamatva and its Clinical Significance
Abstract: Ayurveda is the science of life and its main aim is to maintain healthy status of healthy living being, i.e., prevention of disease and treatment of disease. To fulfill these purposes, Ayurveda has mentioned various fundamental principle in reference of Sharir Rachna, Sharir kriya, Chikitsa, etc. Concept of oja and vyadhikshamatva explained in Ayurvedic texts is one among them. Though located in hrdaya, ojas pervades all over the body and …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 5, Issue 3, 2018 · pp. 24–29 Read article
-
COVID-19 Detection using Convolutional Neural Network (CNN)
Abstract: Coronavirus disease (COVID-19) is spreading across the whole world and has habitual expressive community spread. The sudden hike in the number of patients with COVID-19, i.e. a new respiration virus has an extreme impact on the healthcare system. There are limited kits for diagnosis, hospital beds for such kind of patients, a limited number of personal protective equipment (PPE) for healthcare temporary staff and limited ventilators. A prediction system based …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 8, Issue 2, 2021 · pp. 22–30 Read article
-
Technology Strategy for Improved Safety Management in Steel Industry
Abstract: In last three-four decades, complete technological revolutions have been underwent in Iron and Steel industries. In a relatively short time, the steel industry has observed the almost elimination of hazard and cost inefficient old technologies to state-of-the-art technologies. Strategy for sustainable development is to increase the production value along with other aspects such as techno-economic effectiveness, effective utilization of resources, projection of occupational health and safety, and environment of employees …
Published in Journal of Industrial Safety Engineering Read article
-
Polymeric Actions to Make Recycled Aggregate of Concrete Improved
Abstract: Recycling construction materials of concrete, steel, and steel scraps is an essential technique to promote sustainable material flow. The restricted reuse of recycled concrete aggregate (RCA) can be justified, even in part, by the impact on strength and durability of new RCA-based concrete, instead of natural aggregates. Various research has been conducted on improving RCA effectiveness, in particular resistance and water absorption to disintegration. Application of polymer-dependent therapy was used …
Published in Journal of Polymer & Composites Read article
-
Activity Quantification of Lu-177 SPECT/CT Imaging for Calibration Factor Analysis in Clinical Radionuclide Dosimetry
Abstract: Purpose: To evaluate the calibration factor (CF) at three-time points with the same protocol & acquisition parameters for the images of Lu-177 activity, scanned by two different SPECT/CTs (GE & MEDISO) using a cylindrical Jaszczak phantom with cold inserts, filled with uniform activity in water and to analyze the changes in the calibration factor data with time. The purpose of the study is to quantitatively analyze the first step (calibration …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 12, Issue 2, 2024 · pp. 9–22 Read article