Search
1198 articles for “analyzer”
-
The Prognostic Efficacy of Inflammatory Indicators in Determining the Cause of Multiple Sclerosis Exacerbation
Abstract: Multiple sclerosis (MS) is the most prevalent immune-mediated inflammatory disease affecting the central nervous system, presenting with diverse clinical symptoms and manifestations. This study investigates the diagnostic potential of the monocyte-to-lymphocyte ratio (MLR), red cell distribution width-to-lymphocyte ratio (RLR), and systemic immune-inflammation index (SII) in detecting MS attacks among relapsing-remitting MS (RRMS) patients seeking care in the emergency department (ED). The research focused on RRMS patients who presented to the …
Published in Research and Reviews : A Journal of Immunology · Vol. 15, Issue 1, 2025 · pp. 1–8 Read article
-
AI-Driven Psychological Profiling on Social Media: Mechanisms, Ethical Breaches, and Regulatory Challenges in Data Inference
Abstract: This literature review examines AI-driven psychological profiling on social media, analyzing 21 academic studies that focus on machine learning techniques such as supervised learning, deep neural networks, sentiment analysis, and natural language processing. These methodologies infer mental health indicators—such as depression, anxiety, and stress—from users' digital footprints, encompassing linguistic patterns, engagement metrics, and temporal behaviors. While these tools offer potential for early detection of psychological distress, they also raise significant …
Published in Recent Trends in Social Studies · Vol. 2, Issue 1, 2025 · pp. 1–7 Read article
-
Next-Generation Catalysts: Enhancing Efficiency and Selectivity in Chemical Reactions
Abstract: This study investigates the fundamental principles of coatings and their rejuvenation mechanisms, focusing on the development of advanced coatings that not only protect but also restore the performance of degraded surfaces. The article delves into the various types of coatings, including organic, inorganic, and hybrid formulations, emphasizing their distinct characteristics and applications. A significant portion of the study is dedicated to the mechanisms of rejuvenation, where we analyze how specific …
Published in Journal of Catalyst & Catalysis · Vol. 11, Issue 3, 2024 · pp. 24–28 Read article
-
Harnessing AI and NLP to Transform Pharma Education Personalization, Learning, and Skill Development
Abstract: Particularly with NLP technologies, it is revolutionizing pharmaceutical education, enhancing human creativity, personalizing learning, and improving student outcomes. AI models like those from Open AI’s Chat GPT are increasingly integrated into educational practices that offer a solution to issues, such as teacher shortages, resource limitations, and the inefficient use of traditional teaching methods. This paper explores the diverse ways through which AI and NLP technologies are transforming pharma education within …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 1, 2025 · pp. 7–13 Read article
-
Review on Clinical Safety and Efficacy of Giant Calotropis in the 21st Century
Abstract: Calotropis gigantea, a highly valued plant in traditional Indian pharmacology, has emerged as a promising candidate for therapeutic innovation. This review delves into the clinical safety and efficacy of C. gigantea in the 21st century, examining its historical use, phytochemical composition, and pharmacological properties. While traditional medicine has long utilized C. gigantea for various ailments, modern research has sought to validate these claims through scientific investigation. This review critically analyzes …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 1, 2025 · pp. 26–34 Read article
-
A Study on The Impact of Artificial Intelligence in Pharmaceuticals
Abstract: The main goal of artificial intelligence (AI) is to create intelligent modeling, which facilitates knowledge imagination, problem-solving, and decision-making. AI is becoming more and more significant in several pharmacy domains, including polypharmacology, hospital pharmacy, drug discovery, and drug delivery formulation development. Various types of artificial neural networks (ANNs), including deep neural networks (DNNs) and recurrent neural networks (RNNs), are utilized in the development of drug delivery formulations and in drug …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 1, 2025 · pp. 24–32 Read article
-
A Research Study on Cognitive Health Benefits of Nicotine to the Human Body
Abstract: Background: Nicotine has been primarily known for its addictive properties and associated health risks, particularly in tobacco products. However, recent research has highlighted nicotine’s potential cognitive health benefits, especially in neurodegenerative diseases like Alzheimer’s and Parkinson’s. This study investigates smoking prevalence across mental health conditions, and cognitive impairments in various psychiatric disorders, and explores the possible cognitive health benefits of nicotine. Methods: Data on age and gender distribution, smoking prevalence, …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 1, 2025 · pp. 16–23 Read article
-
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
-
Analysis of Steel Chip Fiber Reinforced Composite Dual Pile Under Lateral Load Conditions on Sloping Terrain
Abstract: Pile foundations, in addition to supporting vertical loads from superstructures, are subjected to lateral stresses arising from seismic activities, wind gusts, water currents, and traffic impacts etc. Failure to account for these lateral forces can pose significant risks if the structure is expected to encounter any form of lateral pressure. Previous research has investigated the behavior of individual composite piles under horizontal forces, considering different soil properties, to determine the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 210–220 Read article
-
From Mourning to Manipulation: Navigating the Psychological Terrain of AI Grief Therapy
Abstract: This literature review explores the psychological and ethical dimensions of virtual conversations with AI-based digital representations of deceased individuals. Specifically, it examines the therapeutic affordances of these interactions, as well as potential maladaptive coping mechanisms, including prolonged mourning, emotional exploitation, and memory distortion. Based on a review of 13 academic studies from 2021 to 2024, this paper critically analyzes ethical dilemmas related to informed consent, data commodification, and the autonomy …
Published in International Journal of Behavioral Sciences · Vol. 2, Issue 1, 2025 · pp. 34–41 Read article
-
Impact of the Roll Back Malaria Programme on the Knowledge of Malaria among Pregnant Women in Kaduna State, Nigeria
Abstract: Malaria remains a leading cause of maternal and neonatal morbidity and mortality in Nigeria, disproportionately affecting pregnant women. The Roll Back Malaria (RBM) programme, a global initiative to reduce malaria incidence, aims to improve malaria knowledge and preventive practices among high-risk groups, including pregnant women. This study investigates the impact of the RBM programme on malaria knowledge and prevention behaviours among pregnant women in Kaduna State, Nigeria. A cross-sectional survey …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 1, 2025 · pp. 10–21 Read article
-
Epilert: Epilepsy Tracker and Detector
Abstract: Epilepsy, affecting over 50 million individuals worldwide, necessitates innovative solutions for effective monitoring and intervention. Current systems face challenges such as inaccuracy, limited accessibility, and discomfort, leaving patients and caregivers vulnerable. Epilert, a wearable device, addresses these gaps by employing advanced sensors and machine-learning algorithms for real-time epilepsy detection and monitoring. The device integrates electromyography (EMG) and motion sensors to capture and analyze physiological and movement data. Preprocessing techniques ensure …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 1, 2025 · pp. 1–8 Read article
-
Advancements in Pneumonia X-Ray Image Detection: A Review
Abstract: Pneumonia remains a primary cause of morbidness and mortality worldwide, necessitating the continuous advancement of diagnostic techniques for timely and accurate detection. Pneumonia is common, it is potentially a life-threatening infection for respiration, poses significant challenges to healthcare systems worldwide. Recently, the arrival of deep learning techniques has stirred up the field of medical imaging, offering promising avenues for enhanced pneumonia detection. In this paper, the advancements in pneumonia detection …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 15, Issue 1, 2025 · pp. 1–11 Read article
-
Effect of Radiation Dose, Dose Rate and Annealing Temperature on Edible Potato Starch by Spectroscopic Methods
Abstract: Potato starch (PS) is a favorite food choice in different forms. During its storage and applications the PS is exposed to different radiations. In the present study the authors attempt to compare radiation effects (gamma and Electron beam of same radiation dose) in PS by Electron spin resonance (ESR) and Fourier transform infrared (FTIR) methods. ESR spectra of gamma irradiated PS appeared to have resolved shapes than the electron beam …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 198–209 Read article
-
Boron minerals: geological distribution, economic significance, and applications
Abstract: Boron (B), a critical micronutrient, plays a vital role in various biological and industrial processes. This study provides a comprehensive review of the main boron minerals, including borax (sodium borate), kernite, colemanite, and ulexite, with a focus on their geological distribution, particularly in the Mojave Desert. These minerals serve as significant sources of boron, with tincal and rasorite emerging as key contributors to global reserves. Notably, the estimated global reserves …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 1, 2025 · pp. 6–10 Read article
-
A Value-Belief-Attitude Model of Local Food Consumption
Abstract: The paper explores the Value-Belief-Attitude (VBA) model of local food consumption, investigating how cultural, social, and economic factors influence attitudes toward local food. Key considerations include the importance of regional cuisines, support for local farmers, and the health benefits of fresh, locally sourced produce. The paper also delves into the concept of “locavorism” as a consumer ideology centered around the trustworthiness and benefits of local foods. Additionally, it examines long-term …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 15, Issue 1, 2025 · pp. 11–18 Read article
-
Optimizing Second Language Acquisition: A Focus on Influential Factors and Techniques
Abstract: The process through which individuals learn a language other than their mother tongue, usually after mastering their first language, is known as second language acquisition, or SLA. In this context, the second language refers to English, and this paper examines the factors influencing its acquisition. Reviews and research on SLA have been considered for a comprehensive study. The use of various tools and technologies for second language learning is highlighted, …
Published in Emerging Trends in Languages · Vol. 2, Issue 1, 2025 · pp. 18–26 Read article
-
Employee Well-Being: Deep Learning Approaches to Stress Detection
Abstract: Stress has become a major concern for employee health, productivity, and overall well-being in today's fast-paced work environment. It is a growing global issue, affecting both individual employees and the productivity of organizations. Work-related stress occurs when the demands of a job surpass an individual's ability to manage, whether because of long hours, overwhelming responsibilities, or other pressures. Factors such as conflicts with coworkers or supervisors, constant changes, and job …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 1, 2025 · pp. 52–58 Read article
-
Data-Driven Predictive Analytics and Decision- Making in FinTech Using MongoDB and High-Throughput Data Pipelines
Abstract: This paper examines the implementation of MongoDB and high-throughput data pipelines within the financial technology (FinTech) sector to drive data-informed predictive analytics and decision-making. The study focuses on the architectural components, scalability, and challenges of integrating NoSQL databases into real-time data ingestion and analytics pipelines. The transformative potential of these technologies in modern financial systems is highlighted through practical use cases such as fraud detection, credit scoring, and personalized financial …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 1, 2025 · pp. 1–15 Read article
-
Comparison of High and Low Temperature Properties of Dual Modified Asphalt Binders with Polyphosphoric Acid and Polymer Modified Bitumen using Rheological Tests
Abstract: The main objective of this study was to investigate the properties of asphalt binder mixtures at both high and low temperatures. To achieve this, two types of admixtures were selected and combined, resulting in a technology known as dual modified asphalt binders. Extreme temperatures during summer and winter can lead to significant issues such as cracking and rutting in asphalt binder pavement. In order to address these problems, a comprehensive …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 23–34 Read article