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Paracetamol (PCM) is extensively used for the treatment of various diseases and is frequently released into aquatic environments, resulting in considerable environmental concerns. In the current study, UV, UV/H2O2, and p...

Municipal planning is a multidimensional decision-making process. Within this process, transparency is understood not only as access to information, but also includes the disclosure of evaluation standards, decision-mak...

Abstract Detecting epileptic seizures from electroencephalogram (EEG) signals presents a significant challenge due to the nonlinear and non-stationary nature of brain activity. In this study, we propose a hybrid classifi...

Customer feedback is pivotal in enhancing service quality and user satisfaction across digital platforms. However, traditional sentiment analysis methods often struggle with informal languages, contextual nuances, and as...

Despite the impressive strides of large language models (LLMs) in text summarization, their effectiveness still hinges on well-crafted prompts, a process that remains labor-intensive, subjective, and difficult to scale. ...

This study presents Duygu-Turk, a novel deep learning-based sentiment analysis framework specifically designed for the Turkish language which is characterized by its agglutinative and morphologically rich structure. Unli...

Artificial Intelligence (AI) refers to systems designed to perform tasks requiring human-like intelligence, such as learning, reasoning, decision-making, and language processing. Its integration into Human Resource Man...

BackgroundObesity is a major risk factor for lipotoxic cardiomyopathy, a process involving lipid metabolism disorders, inflammatory responses, and mitochondrial dysfunction. Salvia miltiorrhiza (Danshen), a traditional C...

Abstract Background Despite over a 25% national decline in opioid overdose deaths in 2024, overdose remains a leading cause of mortality in the U.S., with persistent regional disparities. Illinois, for example, reported ...

Abstract The increasing frequency of natural hazards, intensified by climate change, poses substantial challenges to sustainable development worldwide. Northern Pakistan, particularly the Hunza district, is highly suscep...

Abstract Lumbar spine disorders represent a significant public health concern, with accurate diagnosis relying on vertebral segmentation and quantification. Traditional methods, such as Cobb angle measurement are constra...

ABSTRACT Background and Aim Tonsillectomy is one of the most commonly performed surgical procedures on children. Indications for tonsillectomy include recurrent tonsillitis, obstructive sleep apnea, and peritonsillar abs...

Background Heart transplantation (HT) outcomes are greatly affected by psychological, social, behavioral, and self-care aspects. But still, there is no suitable instrument available for measuring readiness of HT among ad...

IntroductionMalodors in the human body can diminish comfort in living and working environments, potentially increasing stress and dissatisfaction levels. Therefore, there is a growing need to objectively characterize the...

Abstract The publication of DeepSeek-R1 in Nature marks a significant moment as the first widely recognized large language model to undergo formal peer review. While acknowledging its technical ambitions and contribution...

Underwater gas pipelines are vital for energy transportation but are often subjected to harsh environments, and any leakage can have significant environmental consequences. Substantial underestimation of gas plume format...

Recently, some evaluations of the workers' and students' abilities brought back to consider the negative (or reverse) Flynn effect. The reverse Flynn effect is an empirically confirmed decrease in the Intelligence Quotie...

Purpose – This study aims to analyze the management of differentiated learning based on the functions of educational management in elementary schools. Methodology – This research used a qualitative case study approa...

Team science is central to clinical and translational research; however, systematic evaluation of collaborative efforts remains inconsistent and underdeveloped. To better understand current team science evaluation practi...

Abstract Memory representations contain a rich array of features, including perceptual and conceptual features of encoded stimuli. While prior research demonstrates that both feature types are independently represented i...

Abstract Background Acute liver failure (ALF) is a life-threatening syndrome characterized by rapid deterioration of liver function, resulting in high mortality and posing a substantial global health burden. Human embryo...

Abstract Prostate MRI segmentation is critical for accurate diagnosis and treatment planning but remains challenging due to the complex interplay between the peripheral zone’s thin, irregular boundaries and the central...

Abstract BackgroundAnimated messages designed to promote preventive health behaviors (health animations) are a prevalent form of digital health communication globally and are used across a variety of health b...

Conventional adversarial perturbations on traffic sign images often induce noticeable color shifts and abnormal contrast compared to natural images, rendering them susceptible to detection, particularly by Vision Transfo...