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283 articles for “normalization”
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Abysmal Oddities of Brain in Neurological and Psychiatric Disorders Based on Sū’-i-Mizāj Māddῑ (Abnormal Substantial Temperament): Through The Lens of Greco-Arabic Medicine
Abstract: The mesmerizing history of neurological and psychiatric disorders relates to the history of humanity. The Unani philosophers apprehend neurological and psychiatric disorders superbly. They gave a conceptual understanding of the Sū’-i-Mizāj dimag and diagnosed neurological and psychiatric disorders wonderfully. Contrariwise, the Babylonians associated epilepsy, anxiety, depression, mania, and other psychiatric disorders with deities and demons earlier. To understand, analyse, and explain a comprehensive patho-physiology of neurological and psychiatric disorders, it …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 12, Issue 2, 2025 · pp. 30–42 Read article
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Shell Programming in Computer Programming: Application and Techniques
Abstract: Shell programming is writing scripts with shell commands to automate tasks in an OS. Well, the shell is what enables users to reach the kernel, the program that controls the kernel, which actually enables the users to execute commands, manage files and run processes efficiently. The examples are Bourne Shell (Sh), Bourne Again Shell (Bash), Korn Shell (Ksh), C Shell (Csh), Z Shell (Zsh), etc. Of these, Bash is the …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 1, 2025 · pp. 17–21 Read article
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Human Skin Abnormality Detection with Process Similarity Criteria Fit Machine Learning Method
Abstract: This method presents a machine learning method that satisfies the defined conditions for healthy waterside beach activities. The boundary conditions of the normal and abnormal radiation spaces were formulated. The objectives of using a Regression Polynomial with Process Similarity Criteria Fit for skin temperature prediction are justified by the analysis of the existing analytical and machine learning approaches. An algorithm for skin temperature prediction using the theories of similarity criteria …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 11, Issue 2, 2024 · pp. 17–24 Read article
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Virulence Factors in pathogens :mechanisms of infection & disease progression
Abstract: Pathogens, like bacteria, viruses, fungi, and parasites, have evolved specialized tools – known as virulence factors – that help them infect hosts, escape the immune system, and cause disease. These factors play a key role in determining how severe an infection becomes, how quickly it spreads, and how the body responds. Some pathogens use adhesins to stick to host cells, while others produce toxins that damage tissues or disrupt normal …
Published in International Journal of Pathogens · Vol. 2, Issue 1, 2025 · pp. 6–11 Read article
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Comparative Evaluation of Dodders, Giloy, Onion Peels and Fruit Waste-Prepared Composite Biochar Polymeric Adsorbent (CBPA) For Use in Wastewater Treatment
Abstract: Due to pollutants that have a negative impact on water bodies, wastewater treatment has attracted a lot of attention throughout the years. In many developing countries domestic and industrial wastewater treatment plants are lacking or not working efficiently for detergents due to the refractory nature of such chemicals. Generally the industrial wastewater is directly discharged into the existing water bodies (drains, nallahs etc.) after primary settling tanks. These refractory contaminants …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 72–80 Read article
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Enhancing Credit Card Fraud Detection Using Device Fingerprinting and Behavioral Biometrics
Abstract: Credit card fraud is a growing global concern, with financial losses projected to reach $ 43.47 billion by 2028. Credit card fraud poses a major challenge in the financial industry, resulting in substantial financial losses and security risks. This research introduces a Machine Learning-based Credit Card Fraud Detection System designed to improve the accuracy of fraud identification. Due to the imbalanced nature of fraud datasets, SMOTE (Synthetic Minority Over-sampling Technique) …
Published in Journal Of Network security · Vol. 13, Issue 2, 2025 · pp. 40–50 Read article
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Evaluation of Medication Adherence in Patients with Type 2 Diabetes Mellitus: A Mixed- Methods Approach
Abstract: Background: Medication adherence refers to how closely an individual follows the prescribed medication regimen. It is essential for achieving desired therapeutic outcomes and improving patient health. Inadequate adherence can result in the deterioration of health conditions, higher mortality rates, and increased healthcare expenses. Diabetes mellitus, being a chronic condition, demands ongoing medical care not only to prevent the onset of serious complications but also to manage them effectively once they …
Published in International Journal of Community Health Nursing And Practices · Vol. 3, Issue 1, 2025 · pp. 28–35 Read article
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Review on: Development of Polyherbal Hair Dye
Abstract: Everyone likes to look young and intriguing, and hair plays a big part in improving one's image. Globally, graying hair is a big problem, especially for younger people. Premature graying is frequently the consequence of factors that negatively effect hair health, such pollution, grime, severe temperatures, changes in lifestyle, stress, nutritional inadequacies, and hectic schedules. Because of this, many people look for techniques to cover up white or gray hair …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 12, Issue 2, 2025 · pp. 40–47 Read article
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Advancing Healthcare Systems: A Machine Learning Approach to Multi-Disease Prediction
Abstract: The integration of machine learning algorithms in healthcare has revolutionized the way we approach disease prediction and diagnosis. An attempt to employ machine learning techniques to forecast numerous diseases is presented in this study. A diverse dataset containing patient records, medical history, and relevant features for various diseases was used to develop predictive models. Feature selection and normalization were among the preprocessing methods used to clean and prepare the data. …
Published in Journal of Electronic Design Technology · Vol. 16, Issue 1, 2025 · pp. 1–6 Read article
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Advances in Multiclass Oral Cancer Detection Using Spectroscopic and AI Techniques
Abstract: Oral cancer, primarily OSCC, is still a major health issue worldwide, especially in low-HDI countries. Early diagnosis is essential since survival rates for early detection are much higher than for late-stage detection. However, traditional methods like visual inspection and biopsy are time-consuming, invasive, and rely on the clinician's skill, which is a limitation in accessibility and efficiency. Oral cancer detection has just been revolutionized by recent advances in spectroscopic techniques, …
Published in Research and Reviews: A Journal of Dentistry · Vol. 16, Issue 3, 2025 · pp. 39–48 Read article
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Prediction of Customer Churn Using Machine Learning Classification Models
Abstract: Customer churn prediction is a critical task in both the telecommunication and medical industries, where retaining customers or patients is essential for ensuring long-term profitability and maintaining high-quality service. To address this, a range of machine learning models—including logistic regression, decision trees, random forests, gradient boosting machines, and support vector machines—were employed to accurately forecast churn behavior. Prior to model training, the dataset underwent thorough preprocessing, which included handling missing …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 86–92 Read article
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Algorithm for the prediction of cardiovascular disease (CVD)
Abstract: cardiovascular diseases (CVD) still claim a significant number of deaths globally and remain the number one killer with an annual death toll of nearly 17.9 million. While several medical advancements have been made, an early diagnosis is still hard to obtain, which often leads to worsening conditions and intricate treatment options. With the advancement of modern technology, Machine learning has demonstrated to be a miraculous tool which can greatly impact …
Published in Research and Reviews : A Journal of Immunology · Vol. 15, Issue 2, 2025 Read article
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Hiv/aids pandemic and national security
Abstract: The Acquired Immune Deficiency Syndrome (AIDS) is disease caused by the Human Immunodeficiency Virus (HIV), whose clinical manifestation results in the failure of the Immune system to function normally to protect the individual from being attacked or threatened by diseases. The world's attention was drawn to the first observed case in 1981 and a second in 1982 in two different socio-cultural and economic settings and the world then fails to …
Published in Research and Reviews : A Journal of Immunology · Vol. 15, Issue 2, 2025 · pp. 53–66 Read article
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Biopolymer-Based Nanocomposites for Oral Drug Delivery
Abstract: Because they are biocompatible, biodegradable, and can hold a lot of different healing agents, biopolymer-based nanocomposites are looking like a good way to give drugs orally. These materials are made up of natural polymers mixed with nanoparticles. They have many benefits for drug delivery systems, such as making drugs more soluble, controlling when they are released, and making enclosed drugs more stable. Drug release rates may be altered by mixing …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 400–412 Read article
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Design and Development of Experimental Test Rig for Fatigue Life Estimation of Freewheel One-Way Clutch Used in Switchgear Applications at High Overrunning Speeds
Abstract: Freewheel one-way clutch (OWC) is a critical component used in industrial circuit breakers/switchgear to facilitate quick disengagement of the drive when an electrical circuit trips under overcurrent. The clutch acts as a safety device to endure high overrunning speeds and allows the drive shaft to rotate at normal operating speeds during each tripping cycle. The trip mechanism utilizes the stored potential energy of the helical compression spring, which is the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 289–299 Read article
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Successful Treatment of Clinical Ketosis in Dairy Cattle
Abstract: Ketosis is a post-parturient metabolic disease encountered in high yielders due to imbalance in production and feeding leading to gluconeogenesis along with formation of abnormally high levels of ketone bodies. The disorder is particularly seen within the first few weeks after calving. It arises due to a negative energy balance when energy demands for milk production exceed dietary energy intake, leading to excessive mobilization of body fat reserves and resulting …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 14, Issue 2, 2025 · pp. 1–4 Read article
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Moringa Oleifera: A Review on Nutritional and Therapeutic values of Miracle Tree
Abstract: Nowadays, there has been significant change in socioeconomic status, prompting individuals to be increasingly concerned about their lifestyle and health. They understand the negative consequences of manmade items. They express interest in natural items as a result. Over time, the usage of natural products derived from plants that have fewer adverse effects has grown in popularity. There is vast potential for natural products that may provide health benefits beyond conventional …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 12, Issue 2, 2025 · pp. 48–54 Read article
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Review on Dioscorea alata and its Pharmacological application
Abstract: Dioscorea alata, also known as water yam, is an important crop found worldwide. About 600 different species have been reported worldwide. Many nations, including South America, Africa, Australia, and the southern United States, cultivate D. alata. D. Alata is a member of the Discordance family and has been demonstrated to possess anti-inflammatory, anti-apoptotic, and antioxidant qualities. Dioscorea's metabolites include phenolic chemicals, which reduce sugars, flavonoids, glycosides, saponins, alkaloids, anthraquinones, proteins, …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 12, Issue 2, 2025 · pp. 80–86 Read article
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Impact of Environmental Degradation on Steel City of Odisha: A Geospatial Approach
Abstract: Earth has always had an abundance of natural resources, but as the number of people on the planet grew, so did their needs, and they were taken from the environment at an ever-increasing rate. Depending on the kind of pollutant, the duration and intensity of exposure, as well as other elements like an individual's health risks and the combined effects of several pollutants or stressors, the effects of air pollution …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 14, Issue 2, 2025 · pp. 28–40 Read article
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Generic Virtual Mouse
Abstract: The mouse and keyboard have been replaced by new input mechanisms brought about by the quick development of Human-Computer Interaction (HCI). Using computer vision and deep learning techniques, this study explores the possibility of replacing actual mouse inputs in a computer system with hand gestures. We created a virtual mouse system that uses a normal webcam to record hand motions. Computer vision algorithms then process these gestures to handle mouse …
Published in Current Trends in Signal Processing · Vol. 15, Issue 2, 2025 · pp. 26–32 Read article