Buscar recursos académicos

Vaccination is widely used to control foot-and-mouth disease (FMD), necessitating robust approaches for evaluating vaccine potency to ensure a consistent supply of effective and safe vaccines. Traditional (in vivo) poten...

Orientation: Artificial intelligence is increasingly transforming employee assistance programmes (EAPs) by enabling proactive, data-driven and context-sensitive approaches to employee well-being. In South African contex...

AbstractPublic health emergencies such as pandemics, natural disasters, and epidemics may require rapid, high-stakes decisions often made by elected officials with limited public health training. Artificial intelligence ...

As global interest in sustainability and circular economy models intensifies, understanding consumer behaviour toward refurbished products becomes increasingly important—particularly in emerging markets like India. Thi...

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...

Artificial intelligence (AI) has emerged as a transformative force in modern ophthalmology, enabling rapid advances in disease detection, clinical decision support, workflow optimization, and tele-ophthalmology. Ophthalm...

Abstract Breast cancer remains the most frequently diagnosed cancer among women worldwide, and its burden is particularly severe in regions affected by conflict and war. In these settings, oncology care is often disrupte...

Traumatic paraplegia, resulting from spinal cord injury, leads to severe motor dysfunction, with limited efficacy and high risks associated with conventional treatments. Brain-computer interface (BCI) has emerged as a pr...

The coevolution of the human diet and gut microbiome has played a pivotal role in shaping metabolic, immune, and epigenetic functions across human history. Dietary transitions from high-fiber ancestral patterns to modern...

Foundation models (FMs) represent a significant evolution in artificial intelligence (AI), impacting diverse fields. Within radiology, this evolution offers greater adaptability, multimodal integration, and improved gene...

Abstract Sickle Cell Disease (SCD) remains a significant global health burden, disproportionately affecting low- and middle-income countries (LMICs), particularly in sub-Saharan Africa. Recent advancements in gene-based ...

Purpose – There is limited empirical evidence about the readiness of Islamic education teachers to use Artificial Intelligence (AI) in teaching, especially at a national level in developing Muslim-majority countries. T...

Background: Conventional HIV testing approaches continue to fall short of overcoming barriers to HIV testing, especially among key and priority populations at higher risk of acquiring and transmitting HIV. Artificial in...

This study aims at exploring L2 researchers’ perspectives on research ethics in Iran. A total of ten teacher researchers were selected among a larger group of researchers based on the criteria of academic degree and fa...

Objectives To synthesise existing qualitative and conceptual literature on the implementation, ethical considerations and policy implications of Medical Assistance in Dying for Mental Disorder as a Sole Underlying Medica...

Deciphering the taxonomic and evolutionary relationships among hominin fossils of the Chibanian (ca. 774–129 ka) is challenging. This difficulty stems from biological factors such as mosaic patterns of morphological ch...

Od swojego zarania przedmieście Święty Wojciech, położone na północ od miejskich murów, w widłach dwóch niewielkich cieków – Rudnika (Bogdanki) i Wierzbaka, lewobrzeżnych dopływów Warty, pełniło niezmie...

Sociolinguistic equality requires improving public understanding of language variation and challenging language ideologies that perpetuate social inequalities. This study introduces a public engagement strategy using res...

Abstract Background Chronic conditions cause millions of deaths annually worldwide. Remote patient monitoring using wearable devices and sensors, combined with machine learning (ML), offers promising strategies for disea...