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43 articles for “leads score analysis”
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Analyzing Potential Leads Data to Improve Marketing Strategies
Abstract: To develop a lead scoring model using multiple machine learning models and create a user-friendly web application, the first step is to clearly define the problem and collect relevant data from various sources such as CRM, website, social media, email campaigns, etc. After cleaning and pre-processing the data, identify the essential features that can affect the lead score and split the data into training and testing sets. Next, select a …
Published in E-Commerce for Future & Trends · Vol. 10, Issue 2, 2023 · pp. 18–25 Read article
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Comparative Efficacy and Safety of Safinamide and Rasagiline in the Treatment of Parkinson’s Disease: A Meta-Analysis and Systematic Review
Abstract: Background: Recent studies have suggested Rasagiline and Safinamide monotherapy as potential management options for Parkinson’s disease. Parkinson’s disease, a neurological disorder characterized by tremors and movement difficulties, necessitates treatments aimed at managing clinical symptoms. Levodopa remains the primary effective treatment for Parkinson’s disease symptoms; however, its long-term use often leads to motor complications in many patients. Additional therapeutic drugs, such as dopamine agonists and monoamine oxidase B inhibitors, including Safinamide …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 3, 2024 · pp. 74–91 Read article
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The Impacts of Fluoride Contamination in Groundwater on Public Health in India: Evidence from Skeletal Diseases and Dental Diseases
Abstract: Abstract The objective of this paper is to examine the potential effects of fluoride exposure by analyzing the influence of fluoride contamination in drinking water on health outcomes across various districts of India. The paper will mainly highlight two health outcomes- dental diseases and skeletal diseases. This study also examine the health impacts associated with fluoride contaminated water across the different considered samples with the inclusion of additional demographic and …
Published in Journal of Water Pollution & Purification Research · Vol. 3, Issue 2, 2016 · pp. 43–60 Read article
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Semantics Analysis of Expected Goals in Soccer Data Using Machine Learning
Abstract: In recent years, the increasing availability of soccer data has greatly enhanced the accuracy and depth of player performance evaluation. Soccer, being one of the most popular sports worldwide, attracts millions of fans due to its simple rules, minimal equipment requirements, and high entertainment value. However, analyzing an entire match manually can be time-consuming, leading to a growing demand for automated methods that can summarize and interpret game data efficiently. …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 2, 2025 · pp. 31–47 Read article
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AI-Driven Exam Grading, Percentile Calculation, and Plagiarism Detection System for Educational Integrity
Abstract: The influence of artificial intelligence (AI) on academic evaluation has become increasingly significant, particularly in areas such as automated grading, large-scale content analysis, and plagiarism detection. These technologies provide educators with rapid processing, consistent scoring, and timely feedback that can support both teaching and learning. However, alongside these advantages, serious concerns have emerged regarding the reliability and fairness of AI-driven assessments. The growing presence of AI-generated content has further complicated …
Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 · pp. 07–12 Read article
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Molecular Docking, QSAR Modeling, and ADMET Evaluation of Novel Pyrazolo-Pyrimidine Derivatives as Potential CDK-2 Inhibitors for Cancer Therapy
Abstract: Cyclin-dependent kinase-2 (CDK-2) is an essential regulator in cell cycle progression and is an important therapeutic target in cancer drug development. In the present study, an integrated computational approach involving molecular docking studies, QSAR modeling, ADMET prediction, and artificial intelligence-based analysis was used to identify pyrazolo-pyrimidine derivatives as potential CDK-2 inhibitors. Based on the molecular docking results, it was found that selected compounds exhibited high binding affinity towards the ATP …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 2, 2026 Read article
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Indigenous Knowledge (IK) of Wild Edible Plants (WEPs) and Impacts of Resettlement in Delanta, Northern Ethiopia
Abstract: The present study was conducted in Delanta (Ethiopia) to document the use and management of wild edible plants (WEPs) and to assess the impacts of the 1984/85 resettlement program on these resources and associated indigenous knowledge (IK). Data were collected from 72 informants in six study sites through semi-structured interviews, guided field walk, simulation and group discussion, and analyzed using standard ethnobotanical tools including abundance score, ranking and comparison. In …
Published in Research & Reviews : Journal of Herbal Science · Vol. 4, Issue 3, 2015 · pp. 8–26 Read article
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Knowledge Production and Global Integration of Uganda’s Climate Change Research: A Scientometric Perspective
Abstract: This study provides a comprehensive scientometric analysis of climate change research originating from Uganda and indexed in the Web of Science Core Collection between 1974 and 2025. A total of 1,097 publications were identified, which collectively received 785 Total Local Citation Scores (TLCS) and 40,275 Total Global Citation Scores (TGCS).The temporal analysis reveals exponential growth in research productivity, with over 67% of total publications produced during 2020–2025, indicating accelerated scholarly …
Published in International Journal of Atmosphere · Vol. 3, Issue 1, 2026 · pp. 15–25 Read article
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A Gamified Digital Platform for Sustainable Farming Practices: Simulation, Statistical Analysis, and Water Resource Management Implications
Abstract: Sustainable farming practices play a critical role in enhancing agricultural water use efficiency, conserving limited water resources, and ensuring long-term food security under increasing environmental and climatic pressures. Despite their importance, farmer participation in conventional agricultural extension and training programs remains limited due to low engagement and a lack of sustained motivation. To address this challenge, this study proposes a gamified digital decision-support platform aimed at promoting sustainable agricultural and …
Published in Journal of Water Resource Engineering and Management · Vol. 13, Issue 1, 2026 · pp. 13–24 Read article
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Neuro-Rehabilitation Reimagined: A Cross-Cultural Paradigm Integrating Immunotherapeutics and Multidimensional Analytics in Pediatric Cerebral Palsy
Abstract: Researchers performed multidimensional data analysis on the clinical records of 1,586 cerebral palsy pediatric patients to investigate the rehabilitative benefits of immunotherapy and the advantages of blending Traditional Chinese Medicine with Western treatments. A multi-center, prospective cohort study established a standardized system for data gathering that included clinical baseline databases along with treatment protocols and follow-up information. Baseline data analysis showed substantial patient diversity across clinical types and TCM syndromes …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 2, 2025 · pp. 67–84 Read article
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A Novel Symmetric Anchor Scoring (SAS) Method for Industrial Location Selection: Application to Electric Vehicle Manufacturing in Tamil Nadu, India
Abstract: This work highlights the city-level detail of decision-making enabled by a new MCDM method Symmetry Anchor Scoring (SAS). Generally conventional methods are good at selecting one best and one worst alternative, but not differentiating among the many strong contenders more likely in practice. Linking MCDM methods to the tradition of decision making, the paper discusses the mathematics and analogical basis of SAS design, provides a visual proof of its ideal …
Published in International Journal of Industrial and Product Design Engineering · Vol. 4, Issue 1, 2026 · pp. 8–19 Read article
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Evaluation of the Understanding of Home Remedies for Managing Dysmenorrhea Among Adolescent Girls in Selected School of Vaniyamkulam Panchayat
Abstract: Background: India possesses a significant adolescent population critical to its future development. Addressing the health needs of this group is imperative for progress. Dysmenorrhea, characterized by painful menstrual cramps, is prevalent among adolescent girls, and home remedies are commonly used for management. This study aimed to evaluate the knowledge of home remedies for dysmenorrhea among girls at TRK Higher Secondary School in Vaniyamkulam. Objectives: The research had two main objectives: …
Published in International Journal of Women's Health Nursing And Practices · Vol. 2, Issue 1, 2024 · pp. 52–60 Read article
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A Real-time Visualization Framework to Enhance Prompt Accuracy and Result Outcomes Based on the Number of Tokens
Abstract: In the rapidly evolving domain of artificial intelligence (AI), the efficacy of user-generated prompts has emerged as a critical factor influencing the quality of model-generated responses. Current methodologies for prompt evaluation predominantly rely on post-hoc analysis, which often leads to iterative prompting and increased computational overhead. Furthermore, the challenge of “prompt hallucinations,” where AI models produce irrelevant or nonsensical responses, persists as a significant impediment to effective AI utilization. The …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 45–53 Read article
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An Experimental Study to Assess the Effectiveness of Planned Teaching Program Regarding Pelvic Rocking Exercise and Dry Ginger on Knowledge and Attitude Regarding Dysmenorrhea
Abstract: Objective: Dysmenorrhea is characterized by painful menstrual cramps originating from the uterus and is a common gynaecological condition affecting women of all ages and nationalities. Primary dysmenorrhea refers to menstrual pain without any underlying organic disease, while secondary dysmenorrhea occurs due to an identifiable medical condition. Common causes of secondary dysmenorrhea include endometriosis, fibroids, adenomyosis, endometrial polyps, pelvic inflammatory disease, and the use of intrauterine contraceptive devices. Methodology: Experimental research …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 1, 2024 · pp. 6–10 Read article
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Screening Phytocompounds of Tinospora cordifolia to Find Potential Drug Targets for Cystic Fibrosis
Abstract: This study aimed to evaluate the therapeutic potential of phytocompounds derived from Tinospora cordifolia in treating cystic fibrosis (CF), a genetic disorder caused by mutations in the CFTR gene that lead to severe respiratory and digestive complications. Phytocompounds were retrieved from the IMPPAT database and subjected to molecular docking simulations using PyRx to assess their binding affinity to the CFTR protein. The top-scoring compounds – sterol, magnoflorine, tembetarine, kaempferol, and …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 3, Issue 1, 2025 · pp. 16–24 Read article
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Ai-Driven Healthcare System for Enhanced Diagnosis and Patient Interaction
Abstract: Deep learning techniques are used in an AI-driven healthcare system to improve disease identification and medical picture analysis. Data collection, preprocessing, model training, and evaluation are all part of the system's systematic workflow. Various deep learning architectures, such as ResNet50, VGG-16, and U-Net, are employed for precise classification and segmentation of medical images. The approach incorporates advanced techniques such as optimization, transfer learning, and data augmentation to significantly enhance the …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 2, 2025 Read article
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Empirical Analysis of the Effects of Owner Occupied and Tenant Occupied Housing Units on the Environmental Quality of Enugu, Nigeria
Abstract: AbstractHow occupants of housing units handle the various housing units they occupy has been identified as among the factors affecting the quality of the dwelling units of residential environment of Enugu metropolis. The actions of landlords who own and occupy their housing units in Enugu (as they concern the housing units owned and occupied) are different from those of the tenants who occupy the units on rental basis. These invariably …
Published in Research & Reviews : Journal of Ecology · Vol. 5, Issue 2, 2016 · pp. 33–41 Read article
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Impact of Anxiety and Affect on Quality of Life among Youth
Abstract: Youth well-being is an important phenomenon comprising physical, psychological, and social health, where the psychological factors such as anxiety and affect play an essential role in determining Quality of Life (QOL). Young people experience multiple transitions and they are at risk of anxiety disorders that in turn can have adverse effects on academic achievement, physical health, emotional well-being and relationships. Furthermore, affect has a role in the management of emotions …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 1–13 Read article
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Mental Health in the Post-Pandemic Era (COVID-19): Community-Based Interventions for Resilience and Well-Being
Abstract: Background: The COVID-19 pandemic has had a major psychological effect, causing anxiety, depression, stress, and social disruption around the world. Community-level mental health programs have become widely available methods for promoting resilience and mental well-being, especially in resource-limited contexts. Aim: The aim was to assess the effectiveness of community-based mental health interventions in promoting psychological resilience and overall well-being in the post-pandemic period. Methodology: A cross-sectional, mixed-method, community-based study was …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 15, Issue 1, 2026 Read article
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A Study to Evaluate the Impact of Health Education on Awareness of Long-term Complications of Hypertension Among Hypertensive Patients in A Selected Hospital, Bengaluru
Abstract: The rising burden of non-communicable diseases, particularly hypertension, poses significant public health challenges, especially in developing nations. This study aimed to assess the effectiveness of a health education program focused on lifestyle modifications to prevent hypertension-related complications among patients at selected hospitals in Bengaluru. Employing a quasi-experimental design, we recruited 60 hypertensive patients through purposive sampling. Initial knowledge was evaluated using a structured questionnaire, followed by an educational intervention provided …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 2, Issue 2, 2024 · pp. 31–63 Read article