Hypokalemic periodic paralysis (HypoPP) is a rare neuromuscular disorder characterized by recurrent episodes of muscle weakness accompanied by low levels of potassium in the blood. These episodes typically present as flaccid paralysis that can vary from mild muscle weakness to severe paralysis lasting for several hours or even days. Attacks are often triggered by factors […]
Vol. 12 (2) 2026
Endometriosis is a condition that affects many women, where tissues like the lining of the uterus grow outside the uterus. It can lead to very painful periods, pelvic pain, intercourse pain, and infertility. Though it affects many women across the globe, the causes of endometriosis are still not well understood. However, research has shown that […]
Pulmonary arterial hypertension (PAH) is a chronic progressive vasculopathy associated with increased pulmonary vascular resistance and vessel lumen narrowing resulting in pathological remodeling, right-sided heart failure, and lesions resembling those seen in atherosclerosis. Existing treatments focus on vasoconstriction but do not address the structural remodeling; therefore, new mechanism-based interventions are critically necessary. In the present […]
Lennox–Gastaut syndrome is a serious developmental and epileptic encephalopathy marked by diverse seizure types, a characteristic slow spike-and-wave EEG pattern, and progressive cognitive impairment. LGS is associated with many genes and the functional relationship between these genes and biological pathway contribute to disease progression. This study utilizes a systems biology strategy to gain insight into […]
Melanoma is one of the most aggressive forms of skin cancer, characterized by rapid progression, high metastatic potential, and increasing global incidence. Understanding the molecular mechanisms underlying melanoma is essential for improving diagnosis, prognosis, and targeted therapy. The present study employed a network-based bioinformatics approach to investigate melanoma-associated genes and their functional roles in disease […]
Huntington’s disease (HD) is a fatal, inherited neurodegenerative disorder caused by CAG repeat expansion in the HTT gene, leading to progressive motor dysfunction, cognitive decline, and psychiatric symptoms. While the causative mutation is well characterized, the downstream molecular mechanisms driving disease progression remain incompletely understood. In this study, a network-based bioinformatics approach was employed to […]
Phenylketonuria (PKU) is an inherited metabolic disorder mainly due to mutations in the PAH gene, leading to the impaired metabolism of phenylalanine to tyrosine and the buildup of neurotoxic compounds. This study used a network-based bioinformatics approach to analyze genes, protein interactions, and biological pathways associated with PKU. The study used web-based tools to analyze […]
Non-Alcoholic Steatohepatitis (NASH) is a progressive stage of chronic liver disease that involves inflammation and fibrosis. This study used an integrated bioinformatics approach to map gene interaction networks and find potential therapeutic targets. Disease-related genes were obtained from DisGeNET, and a Protein–Protein Interaction (PPI) network was built using STRING and GeneMANIA to include functional and […]
A bioinformatics framework utilized to analyse the genetic architecture of schizophrenia, beginning with the identification of 30 candidate genes that are known to be involved in the disease. A protein-protein interaction network was generated to identify the functional relationships between the genes, which would help in the identification of key hub genes and functional network […]
Coronary Heart Disease (CHD) is one of the leading causes of morbidity and mortality worldwide and results from the narrowing or blockage of coronary arteries due to atherosclerosis. This condition reduces blood flow and oxygen supply to the myocardium, leading to clinical manifestations such as angina pectoris, myocardial infarction, heart failure, and sudden cardiac death. […]
Artificial Intelligence is mostly used in decision-making across various sectors such as healthcare, finance, education, recruitment, and criminal justice. While AI systems have achieved significant technological success, they often present a one-sided picture to users. AI systems may produce unfair or discriminatory outcomes. Such bias creates inconsistencies that can misrepresent reality and negatively impact individuals […]
Artificial Intelligence (AI) is widely used in digital platforms such as social media, e-commerce websites, and streaming services. These platforms analyze large amounts of user data—including search history, browsing behavior, and location data—to personalize content and increase user engagement. This study examines how AI-driven data collection may influence personal privacy and human behavior. Continuous exposure […]
This study explores the digital transformation of Union Public Service Commission coaching through the adoption of Software as a Service based learning platforms. The Civil Services Examination demands disciplined preparation, structured learning, continuous evaluation, and effective mentorship. Traditional offline coaching methods often present challenges such as high costs, rigid schedules, overcrowded classrooms, limited personalized guidance, […]
This research study investigates the critical impact of transportation on flower quality during post-harvest handling. The cut flower industry, valued at approximately $8.5 billion globally in 2024, suffers post-harvest losses estimated between 20% and 40%, with transportation representing the highest quality loss point at 30–40%. Through a survey of 50 stakeholders — comprising flower growers, […]
Security fatigue—a state of cognitive exhaustion arising from relentless authentication demands and security alerts—represents an underexamined human vulnerability in modern cybersecurity. This paper investigates the relationship between cognitive depletion (commonly experienced as "brain fog") and non-compliant digital security behaviors among university students and employees. Drawing on Cognitive Load Theory and Decision Fatigue Theory, a cross-sectional, […]
Digital payment systems have significantly transformed the financial landscape in India. The rapid expansion of internet connectivity, increasing smartphone penetration, and the growth of financial technology platforms have accelerated the transition from traditional cash-based transactions to digital payment methods. Despite this widespread growth, understanding the behavioral factors that influence individuals’ adoption of digital payments remains […]
Social media platforms such as Instagram, Facebook, WhatsApp, YouTube, and Snapchat have become an important part of modern daily life. While these platforms help individuals communicate and access information easily, excessive screen time may negatively affect mental health. The present study investigates the relationship between social media usage and mental health across different age groups […]
The rapid adoption of Generative Artificial Intelligence (GenAI) and its API-based deployment have created new possibilities for modern full-stack web development. This paper investigates how GenAI APIs are integrated into web applications, analysing model architectures, implementation patterns, performance trade-offs, security risks, and real- world deployment outcomes across multiple industry sectors. A mixed-methods approach was adopted, […]
The proliferation of digital media has precipitated an unprecedented crisis of information integrity, commonly termed the "infodemic". Fabricated or intentionally misleading content spreads globally in minutes, posing a significant threat to democratic processes, public health, and social cohesion. This paper presents a comprehensive survey of the machine learning (ML) and natural language processing (NLP) techniques […]
The rapid advancement of digital technologies has transformed the way governments deliver services to citizens. E-governance plays an important role in improving transparency, efficiency, and accountability in public administration. In recent years, data-driven approaches have become essential for enabling smart governance by using large volumes of administrative and public data to support decision-making processes. This […]
Deepfake technology, powered by artificial intelligence, has transformed digital content creation by producing highly realistic synthetic images, videos, and audio. While these tools offer creative opportunities, their misuse threatens privacy, democracy, and online trust. This study investigates how individuals perceive deepfakes, their confidence in detecting manipulated media, and their views on societal risks. Based on […]
Passwords are still the most commonly used authentication method in contemporary digital systems. Nevertheless, poor password practices are still a major contributing factor to data breaches and unauthorized access. Conventional password strength verification systems are highly dependent on simple rule-based verification methods such as minimum length and the presence of numeric or special characters, which […]
The rapid growth of digital technology and automation has significantly transformed the food ordering landscape. This study aims to examine consumer preferences by comparing traditional food ordering methods with modern online food delivery platforms. Primary data for the research was collected through a structured questionnaire distributed to 52 respondents from diverse demographic backgrounds. The study […]