Around 2020, 5G began its commercialization journey, and discussions about the next-generation networks (such as 6G) emerged. Researchers predict that 6G will have higher bandwidth, coverage, reliability, energy efficiency, lower latency, be an integrated "human-centric" network system powered by artificial intelligence (AI). This lead to many real-time automated decisions, ranging from resource allocation collision avoidance for self-driving cars. However, there is a risk of losing control...

Social media platforms have become a forum for giving voice to the masses with significant proportion of those coming from developing world. This was largely evidenced through role played by social in recent uprisings Arab In this paper, we take up study engagement patterns users world Twitter's during Tunisian uprising. Motivated results user survey conducted mainly who tweeted heavily world, propose novel method subjectivity analysis tweets corresponding political events Our proposed...

ABSTRACT This systematic review examines the evolution and current landscape of eXplainable Artificial Intelligence (XAI) in Clinical Decision Support Systems (CDSS), highlighting significant advancements identifying persistent challenges. Utilising PRISMA protocol, we searched major indexed databases such as Scopus, Web Science, PubMed, Cochrane Library, to analyse publications from January 2000 April 2024. timeframe captures progressive integration XAI CDSS, offering a historical...

Introduction Adolescents with acne vulgaris, a prevalent dermatological condition, have significant prevalence of anxiety and depression, which can negative effects on their quality life. Objectives The purpose this study was to find out the depression in Pakistani patients vulgaris. Methods This six-month cohort conducted at Chaudhry Muhammad Akram Teaching Research Hospital Lahore, Pakistan, involving 250 vulgaris (aged 16-40) 200 age- sex-matched controls. Exclusion criteria included...

Objective This study aims to explore key factors influencing hypertension management, including demographic (e.g., age, gender, education level), clinical presence of comorbid conditions), and behavioral influences medication adherence, lifestyle choices such as diet exercise). The seeks provide specific insights into the gaps in knowledge treatment adherence identify potential barriers effective modifications. Methods was carried out Departments Medicine Cardiology at Chaudhary Muhammad...

ABSTRACT This overview investigates the evolution and current landscape of eXplainable Artificial Intelligence (XAI) in healthcare, highlighting its implications for researchers, technology developers, policymakers. Following PRISMA protocol, we analyzed 89 publications from January 2000 to June 2024, spanning 19 medical domains, with a focus on Neurology Cancer as most studied areas. Various data types are reviewed, including tabular data, imaging, clinical text, offering comprehensive...

As explainable AI (XAI) becomes increasingly critical in healthcare machine learning (ML) applications, a need has emerged for reproducible frameworks that quantitatively assess the quality of explanations. In this study, we comparatively evaluate five prominent XAI methods, LIME, SHAP, Anchors, EBM, and TABNET, on multiple tabular datasets using six well-established metrics: fidelity, simplicity, consistency, robustness, precision, coverage. While metrics are derived from prior literature,...

Abstract
 Background: Imposter syndrome (IS) first described in 1978 is recently gaining more importance due to its long lasting, strong and detrimental implications on the Medical students as well institutions society. The sufferers are competent objectively but they have a secret fear them, that inadequate skills knowledge this will be open others anytime. It strongly associated with burnout phenomenon, anxiety, depression, many other psychological effects significant medical...

When 5G began its commercialisation journey around 2020, the discussion on vision of 6G also surfaced. Researchers expect to have higher bandwidth, coverage, reliability, energy efficiency, lower latency, and an integrated "human-centric" network system powered by artificial intelligence (AI). Such a will lead excessive number automated decisions made in real-time. These can range widely, from resource allocation collision avoidance for self-driving cars. However, risk losing control over...

The use of Twitter as a discussion platform for political issues has led researchers to study its role in predicting election outcomes. This work studies much neglected aspect politics on namely "election trolling" whereby supporters different parties attack each other during campaigns. We also propose novel strategy detect terms that are usually not associated with sentiment but introduced by the opposing party. demonstrate lack maturity evidenced through high percentage attacks developing...

<p><strong>Abstract</strong></p><p><strong>Background: </strong>Imposter syndrome (IS) first described in 1978 is recently gaining more importance due to its long lasting, strong and detrimental implications on the Medical students as well institutions society. The sufferers are competent objectively but they have a secret fear them, that inadequate skills knowledge this will be open others anytime. It strongly associated with burnout phenomenon,...

Finding domain specific key terms/phrases from a given set of documents is challenging task. A may be defined as an area interest over collection which not explicitly but implicitly observable in those documents. When considering related to academic research, examples Information Retrieval", "Marine Biology", etc. In this paper technique for extracting important considered topical proposed using external evidence the titles Wikipedia articles and category graph. We performed some experiments...

It is often the case that traditional media provide coverage of a news event on basis journalists' viewpoints -- problem termed in literature as bias. On other hand social have given birth to an alternative paradigm journalism known "citizen journalism". We take advantage citizen detect bias and propose simple model for empirical measurement

A web crawler forms the backbone of a search engine and this needs careful re- assessment that could enhance efficiency engines. This paper conducts such from perspective systems is achieved through implementation analysis "VisionerBOT" as feed forward for engines using MapReduce distributed programming model. Our implementations revisit classical OS debate threads vs. events, with significant contribution our work which concludes events ideal way crawlers. Furthermore, in implementing...

The process whereby inferences are made from textual data is broadly referred to as text mining. In order ensure the quality and effectiveness of derived inferences, several approaches have been proposed for different mining applications. Among these applications, classifying a piece into pre-defined classes through utilisation training falls supervised while arranging related documents or terms clusters unsupervised approaches. both approaches, processing undertaken at level make sense...