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1906 articles for “not studying” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Impact of Urbanization and Policy Interventions on Carbon Emissions Towards Achieving SDG 13
Abstract: Climate change remains a major threat to ecosystems and human society. This undermines efforts to achieve Sustainable Development Goal 13 (SDG 13), which aims to take immediate action to address climate change and its impacts. This study provides an overview of the wide-ranging impacts of climate change. It focuses on the increasing frequency, intensity and uncertainty of extreme weather events such as droughts, famines, landslides and heat waves, and impacts …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 16, Issue 1, 2025 · pp. 18–29 Read article
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Statistical Methods in Law: Analysing Trends and Patterns in Judicial Outcomes
Abstract: The research paper explores the integration of statistical techniques within the domain of legal science, emphasizing their role in assessing and interpreting ongoing trends. By employing methods such as descriptive statistics, inferential statistics, and multivariate analysis, the study highlights how empirical data can effectively uncover disparities in areas like sentencing practices, risk assessments, and the evaluation of policy outcomes. These statistical tools enable researchers and legal professionals to identify patterns, …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 3, 2024 · pp. 32–36 Read article
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Effect of the Integrated Approach to Yoga Therapy on Stress-Related Anxiety Disorder of a Roller Skater
Abstract: Anxiety and stress are common problems for competitive skaters, which frequently impairs their performance and general health. The Integrated Approach to Yoga Therapy (IAYT) offers a holistic intervention, addressing the physical, mental, and emotional dimensions of health. This study investigates the impact of IAYT on stress-related anxiety disorders in skaters, incorporating yoga postures (asanas), breathing techniques (pranayama), meditation, and relaxation practices. An 8-week intervention was conducted with 30 competitive skaters …
Published in Recent Trends in Sports · Vol. 2, Issue 1, 2025 · pp. 7–13 Read article
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Innovative Biogas Strategies: Anaerobic Co-Digestion of Livestock Waste
Abstract: The goal of the study is to determine whether anaerobic co-digestion of cow dung can be used to produce biogas and whether adding sodium and calcium alginate directly to natural lagoon sediment can reduce sulphide concentrations. It was observed that one minute of focus Sodium and calcium alginate were added at the start of the anaerobic digestion cycle, which indicates a propensity to lower the system's hydrogen sulfide concentration and …
Published in Emerging Trends in Chemical Engineering · Vol. 12, Issue 1, 2025 · pp. 40–45 Read article
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Knowledge and awareness of final years dental and medical students towards management. and clinical outcomes of maxillary sinus squamous cell carcinoma 2021
Abstract: Background: - study aimed to assess dental and medical students' knowledge on managing and clinical outcomes of maxillary sinus squamous cell carcinoma, a preventable and treatable cancer, and to address delays in referral and treatment.. objective: -To assess a knowledge and awareness of management and clinical outcomes of maxillary sinus squamous cell carcinoma among final years dental students and medical students at university of Khartoum Materials and Methods: A cross-sectional …
Published in Research and Reviews: A Journal of Dentistry · Vol. 16, Issue 1, 2025 · pp. 10–17 Read article
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Secure Streaming Services and Consumer Behaviour: Cryptographic Innovations and Impulsive Buying in the Digital Film Industry
Abstract: This study examines the interaction between cryptographic advancements, secure streaming services, and impulsive buying behaviour within the digital film industry. It explores how improvements in data encryption and decryption enhance the security of streaming platforms, impacting consumer purchasing choices. As streaming services grow in popularity, secure environments play a crucial role in fostering trust, which may encourage impulsive buying by providing consumers with a sense of safety and ease of …
Published in Journal Of Network security · Vol. 13, Issue 1, 2025 · pp. 28–36 Read article
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Advances in Total Knee Replacement: A Systematic Review of Clinical Outcomes and Complications
Abstract: Total Knee Replacement (TKR) is a widely used surgical intervention for patients with knee osteoarthritis and other degenerative knee disorders, offering significant improvements in pain relief, functional restoration, and quality of life. This systematic review synthesizes data from multiple clinical studies to evaluate the outcomes and complications associated with TKR. To find applicable research published in the last ten years, a thorough search of electronic databases was performed. Randomised controlled …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 1, 2024 · pp. 41–56 Read article
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Review of Amphibious Structures as A Flood Resilience Strategy Around the World
Abstract: Over time, people have settled in communities that are fluvial flood zones and located at low elevations due to limited access to land, strong cultural ties that continue for generations, and economic factors that make relocation nearly impossible. "Our homes are stitched into the landscape," some say, "we have nowhere else to go." However, when the water continues to invade year after year, these populations face a perpetual threat to …
Published in Recent Trends in Civil Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 11–27 Read article
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Unveiling Patterns in Complexity: The Role of Simple Statistics and Fuzzy Mathematics in Data Analysis
Abstract: In this study, statistical methods must be integrated with fuzzy mathematics to solve complex data. Statistical methods offer clear, unbiased, and computationally feasible tools for analysing numerical data. whereas fuzzy mathematics excels in describing the vagueness and ambiguity of human feeling by way of linguistic variables, membership functions, and inference systems. Giving it an apparent advantage when modelling complex conditions. Hybrid frameworks offer fine-grained decision-making and resilient adaptability to real-world …
Published in Research & Reviews : Journal of Statistics · Vol. 14, Issue 1, 2025 · pp. 01–10 Read article
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Mathematical Models of Agricultural Cycles in Tribal Astronomy
Abstract: This paper delves into the intricate connection between traditional tribal agricultural practices and astronomical observations, showcasing how indigenous communities have historically relied on celestial movements to guide essential farming activities. By observing the phases of the moon, solar cycles, and the positions of star constellations, tribes have developed precise methods for determining the optimal timing for planting, harvesting, and seasonal planning. These astronomical practices are deeply embedded in their cultural …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 3, 2024 Read article
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E-glass Fiber Epoxy Composites: Role of Al2O3/SiC Fillers in Physical, Flammability and Mechanical Characteristics
Abstract: This study investigates the effects of varying weight percentages of Silicon Carbide and Alumina particles in epoxy-based composites, fabricated through compression molding, on their physical and mechanical properties. Comparing different studies on carbon fiber-reinforced polymer (CFRP) composites, as well as glass fiber-reinforced polymer (GFRP) composites, especially with the reinforcement of nanoparticles such as silicon carbide (SiC), alumina (Al2O3) and graphene. The investigations cover fabrication methods, like vacuum infusion and compression …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 238–250 Read article
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Exploring Phytochemicals from Ricinus Communis for Potential Therapeutic Applications in Rheumatoid Arthritis: An in-Silico Approach
Abstract: Aim: Rheumatoid arthritis (RA) is a long-term autoimmune condition characterized by the immune system mistakenly attacking the joints, leading to swelling, discomfort, and joint deformities. Current management strategies include anti-rheumatic drugs and biologics, which have limitations. This study aims to explore the therapeutic potential of Ricinus communis (castor bean plant) phytochemicals as plant-based therapies for autoimmune conditions, like RA. Methods: Phytochemicals from Ricinus communis were retrieved using the IMPPAT database, …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 1, 2025 · pp. 32–41 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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Role Of Autologous Platelet-Rich Plasma (APRP) In Take of Graft
Abstract: Autologous platelet-rich plasma (APRP) has gained attention as a promising adjunct in skin grafting procedures, particularly in enhancing the take and healing of grafts in burn patients. This study focuses on the application of APRP to improve the adherence of split-thickness skin grafts (STSG) in a pediatric patient with scald burns. APRP is prepared by concentrating the patient’s platelets from a small volume of blood, which is rich in growth …
Published in Research and Reviews : Journal of Surgery · Vol. 14, Issue 1, 2025 · pp. 1–5 Read article
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Formulation Development and Evaluation Technique for Immediate and Modified Release Capsule
Abstract: The development and evaluation of formulations for immediate-release (IR) and modified-release (MR) capsules represent a critical aspect of pharmaceutical dosage form design, offering distinct advantages in terms of drug release profiles and therapeutic outcomes. This study focuses on the formulation strategies, techniques, and evaluation methods used to develop both IR and MR capsules. Immediate-release capsules are designed to disintegrate quickly in the gastrointestinal tract, ensuring rapid drug absorption, while modified-release …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 3, Issue 1, 2025 · pp. 1–9 Read article
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Thermal Performance of Concentrating Solar Panels
Abstract: The study shows a detailed analysis of the thermal performance of concentrating solar panels and the temperature increase due to concentrated solar radiation. This work proposes a configuration to reduce temperature rise, maintain good panel efficiency, and increase output power. The configuration is based on a sandwich structure including a phase change material (PCM), which absorbs the thermal energy excess generated by the concentrated solar radiation onto the PV panel. …
Published in Journal of Thermal Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 1–10 Read article
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Holistic integrated approach of designing a satellite town: Introducing theories of environmental parameters like pollution free, circular economy and sustainability
Abstract: Urban regions are quite challenging to restore the quality of environment at the global level as well as posing serious threat to climatic changes. This fact is demonstrated on the grounds that around 70% of the carbon footprint is contributed from the urban sector. The authors of the present study have attempted to design a satellite town of population 50,000, partly to dilute the population density of main urban town …
Published in International Journal of Architectural Design and Planning · Vol. 3, Issue 1, 2025 · pp. 24–41 Read article
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Progression in multi-omics and immunological research on host-parasite interactions: Transcriptomics, proteomics, genomics, metabolomics, and immune responses
Abstract: The interaction occuring between hosts and parasites is a quick and multi step-complex biological process that tries to influence disease outcomes. In recent years, multi-omics approaches, such as transcriptomics, proteomics, genomics, metabolomics, and immunological studies, have gathered substantial eye in dissecting these interactions at a microscopic level. These techniques enable a vast understanding of the molecular structures involved in parasitic infections and host defense mechanisms. This article reviews the advancements …
Published in Recent Trends in Infectious Diseases · Vol. 2, Issue 1, 2025 Read article
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Clinical Evaluation of Ayurvedic Intervention (Mahamanjishathadi Kwatha, Kaishora Guggulu, Panchatikta Ghrita, Eranda Taila) in the Management of Ekakushtha W.S.R. to Psoriasis
Abstract: Introduction: Psoriasis is a chronic skin condition causing scaly plaques, typically on extensor surfaces, scalp, and nails, and often leads to quality of life impairments, including physical and mental health challenges. Ayurveda offers a holistic approach targeting root causes and balancing body and mind, while conventional treatments focus on symptom management through therapies that may cause side effects and recurrence. Aim and Objectives: The study aimed to assess the efficacy …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 14, Issue 1, 2025 Read article
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Fake Cryptocurrency Detection Using Python
Abstract: This study investigates the use of Python-based techniques for detecting fraudulent cryptocurrencies, addressing a growing concern in the digital financial ecosystem. The research methodology integrates various data science approaches, including web scraping, API integration, and advanced data analysis using Pandas and NLTK. Machine learning models, particularly classification algorithms such as Random Forest, are employed to analyze key features extracted from cryptocurrency whitepapers, social media discussions, and transactional data. By training …
Published in Recent Trends in Programming languages · Vol. 12, Issue 1, 2025 · pp. 1–7 Read article