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1198 articles for “analyzer”
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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
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Cross-layer Solutions in WSN Routing: A Review
Abstract: WSN is a less infrastructure wireless network which is embedded with large number of Sensor Nodes (SN). Its ad-hoc manner of device distribution allows it to monitor conditions under physical and environmental scenarios. Typically, SNs in WSN are installed in a specified geographical location to monitor required information. Due to SNs’ self-configuring ability, the exploitation of target is simpler. Though, its functioning is limited with factors such as energy efficiency, …
Published in International Journal of Wireless Security and Networks · Vol. 1, Issue 2, 2023 · pp. 26–36 Read article
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The Influence of Fresh Raffia Palm Trunk on the Bioremediation of Oil-Based Drill
Abstract: This study determines the effect of fresh raffia palm for biodegradation of oil-based drill cuttings bioremediation. The experiment was conducted at the rivers institute of Agricultural research and training (RIART) located at the Rivers State University, Port Harcourt. Samples of oil-based drill cuttings were bulked in eleven reactors with four replications (T1, T2, T3-T11). The physiochemical properties of the initial drill cuttings were analyzed. Also, the physiochemical properties of the …
Published in International Journal of Pollution: Prevention & Control · Vol. 1, Issue 2, 2023 · pp. 41–48 Read article
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Saccharomyces Cerevisiae and Pichia Pastoris Optimize NH4NO3 by 50 % in Solanum Lycopersicum Preventing N2O Release.
Abstract: In agriculture, the unregulated application of NH4NO3 for healthy growth of Solanum lycopersicum is associated in the soil with the denitrification of free NO3- (nitrate), with an increase in N2O, a greenhouse gas, that contributes to global warming, loss of soil fertility. An ecological option to avoid denitrification that releases N2O as other environmental problems is to inoculate S. lycopersicum seeds with endophytic yeasts that promote plant growth, such as …
Published in International Journal of Pollution: Prevention & Control · Vol. 2, Issue 1, 2024 · pp. 7–13 Read article
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Analysing Dietary Patterns and Unravelling the Factors behind Obesity: A Comprehensive Evaluation
Abstract: The purpose of this research paper is to identify the changes that occurred in the food habits of people in the past few years. This research is based on the findings for the evaluation that have been done on the food habits of people in the past few years and the rise of the rate of obesity percentage and the rate of diabetic patients in these years. And finding the …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 1, 2024 · pp. 45–50 Read article
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Survey of Predictive Models for Safe Route Predicting Using Machine Learning Techniques
Abstract: Safe route prediction is essential for the well-being and security of individuals in urban and rural environments. Machine learning techniques leverage historical data, real-time information, and algorithms to estimate the safety levels of different routes. The objective of safe route planning is to minimize risks, including crime-prone areas and accidents, reducing potential harm, property damage, and emotional distress. However, challenges arise from the complex and dynamic nature of urban environments, …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 1, 2024 · pp. 13–22 Read article
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Effectiveness of Online Advertising in Reaching Target Audiences
Abstract: This study examines the effectiveness of online advertising in reaching target audiences. With the rapid growth of digital platforms, understanding the efficacy of online advertising has become paramount for marketers. Utilizing a combination of quantitative analysis and case studies, this research investigates the various strategies and channels employed in online advertising to reach specific demographic segments. By analyzing metrics such as click-through rates, conversion rates, and audience engagement, this study …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 14, Issue 2, 2024 · pp. 8–12 Read article
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Impact and Outcomes of Alkaline Water Therapy (Supportive Therapy) in Management of Diabetes, Hypertension and Thyroid Disorders: An Evidence-based Research Study.
Abstract: The present study is a retrospective observational cohort study involving the usage of alkaline water as supportive therapy in the management of metabolic disorders. Patients were randomly selected on daily basis reviewed and followed up. Sixteen patients in the yelahanka Bangalore region who tested positive for diabetes mellitus, hypertension and thyroid disorders and were willing to participate were included in the study. Patients who weren't willing to participate or who …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 1, 2024 · pp. 32–37 Read article
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Lower Genital Tract Infections in Pregnant Women: Epidemiology and Risk Factors Associated in Dakar, Senegal
Abstract: Vaginal infections are responsible for many problems in women of childbearing age and significantly influence pregnancy outcomes. This study sought to ascertain the prevalence of lower genital tract infections and the risk factors associated with them in pregnant women under observation at the Nabil Choucair Health Centre in Dakar, Senegal. This nine-month cross-sectional study, which involved women between 34 and 38 weeks gestation (WG), was carried out from July 2020 …
Published in Recent Trends in Infectious Diseases · Vol. 1, Issue 2, 2024 · pp. 47–59 Read article
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Enhancing Business Expansion through the Integration of Artificial Intelligence and Business Intelligence
Abstract: Business intelligence (BI) and artificially intelligent technology (AI) give businesses a competitive edge and significantly boost growth. AI emulates human cognitive processes, learns from data, and makes intelligent decisions, while BI analyzes data for strategic insights. This study explores the synergies of integrating AI and BI, revealing opportunities for business expansion. AI algorithms analyze extensive datasets, enhancing predictions for customer behavior. The reciprocal relationship automates processes, elevates decision-making, and enables …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 1, Issue 2, 2023 · pp. 27–33 Read article
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Integration of Taguchi and MCDM Techniques for the Optimization of Experimental Parameters in Electrical Discharge Machining: A Research
Abstract: Electric discharge machining (EDM) represents a non-conventional approach to machining, particularly beneficial for processing hard-to-machine materials or components with high length-to-diameter ratios or intricate shapes. Widely employed across various industries such as automotive, chemical, aerospace, biomedical, and tool and die, EDM offers a unique method for achieving precise shapes and dimensions. Unlike traditional machining methods where form is attained through the interaction of the tool and workpiece, EDM operates without …
Published in Trends in Mechanical Engineering & Technology · Vol. 14, Issue 1, 2024 · pp. 6–14 Read article
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Development of Shelf-stable Oral Rehydration Drink with Whey and Red seaweed (Kappaphycus alvarezii)
Abstract: The present study aimed at developing a whey based oral rehydration drink (ORD) incorporated with red seaweed. The ORD was formulated with seaweed, sodium chloride, potassium chloride and sugar at the concentrations of 1.0 w/v%, 0.20 w/v%, 0.075 w/v% and 15 w/v% respectively and a whey:water ratio of 1:1.5. The ORD with 1.0 w/v% seaweed obtained the highest overall sensorial acceptability. This drink was further subjected to storage study for …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 13, Issue 1, 2024 · pp. 20–27 Read article
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AI-Powered License Plate Recognition
Abstract: With the number of cars multiplying daily, safety precautions are judged required. Automatic number plate recognition uses image processing and machine learning techniques to recognize vehicle numbers. By utilizing the vehicle number plate, the approach recommended seeks to establish a capable automated approved auto identification system. We describe an automated vehicle number detection system based on image processing and Raspberry Pi that reads license plates. In this setting, a Raspberry …
Published in Trends in Machine design · Vol. 11, Issue 1, 2024 · pp. 20–29 Read article
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Lived Experience of Married Middle-aged Women Regarding Marital Satisfaction
Abstract: Introduction: Marital satisfaction is a significant contributor to general sense of happiness. A fulfilling marital relationship meets the intimacy requirements of both partners and contributes to their overall physical and mental well-being. However, elderly couples in today's era face new challenges associated with prolonged longevity. A study was conducted to explore the lived experience of marital satisfaction among married middle-aged women in selected community in Kannur. Objective of study was …
Published in International Journal of Women's Health Nursing And Practices · Vol. 2, Issue 1, 2024 · pp. 47–51 Read article
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CFD Analysis of Electric Vehicles Battery Pack: A Research Study
Abstract: The goal of the project is to keep the battery temperature within the specified range and to improve the battery pack's performance under different temperature settings. To achieve these goals, we employ software to analyze the data and provide the necessary output. With model-based design, you can understand the dynamic behavior. For this project, a CAD model was produced with Creo Parametric. We used the STAR CCM+ Software for analysis …
Published in International Journal of Electrical Power and Machine Systems · Vol. 1, Issue 2, 2023 · pp. 28–32 Read article
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Report Pulse: Using Machine Learning
Abstract: This study presents the development of a novel medical report analyzer, specifically designed to streamline the interpretation of complex health data. The Report Pulse project represents a significant advancement in healthcare innovation, aiming to facilitate deeper insights into medical reports and foster personalized health management strategies. At its core, the Report Pulse project introduces a sophisticated blood report analyzer, which transcends conventional data analysis by providing actionable insights tailored to …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 2, 2024 · pp. 28–33 Read article
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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
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Evaluation of Machine Learning Classifiers for Sentiment Analysis
Abstract: Sentiment in social media refers to users’ emotions and opinions through their posts and interactions. Sentiment analysis (SA) refers to relating and classifying the sentiments expressed as engagement and interactions between users. When analyzed, tweets frequently produce a large source of clustered data. These data help determine people’s opinions about a variety of motifs. Thus, this study presents an Automated Machine Learning (ML) Sentiment Analysis Model to detect media sentiment. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 141–154 Read article
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Comprehensive Analysis of MRSA Peptides Via Maldi
Abstract: The present study employed Matrix-Assisted Laser Desorption/Ionization Time-of-Flight mass spectrometry to analyze methicillin-resistant Staphylococcus aureus peptides, focusing on various parameters associated with mass-to-charge (m/z) values. Through systematic data collection and analysis, including time, intensity, signal-to-noise ratios, quality factors, resolutions, areas under the peaks, relative intensities, full widths at half maximum, Chi-squared values, and background peaks, comprehensive insights into the spectral characteristics of methicillin-resistant Staphylococcus aureus peptides were obtained. Methicillin-resistant Staphylococcus …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 2, 2024 · pp. 98–101 Read article
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Wireless and Wearable Real-time Health Monitoring Systems: A Review of Recent Developments
Abstract: This paper explores the interdependent relationship between mental and physical health, highlighting the impact of stress and anxiety on the body by introducing an innovative Real- Time Health Monitoring System. This system monitors both mental well-being and physical health using advanced physical health sensors and Facial Emotion Recognition (FER) technology. Leveraging high-precision sensors such as Temperature and pulse oximeters, it continuously monitors vital physiological parameters such as Body Temperature and …
Published in International Journal of Radio Frequency Innovations · Vol. 2, Issue 1, 2024 · pp. 1–7 Read article