Context

BACKGROUND: The global COVID-19 crisis has underscored the critical role of effective decision-making in healthcare systems. Saudi Arabia has shown resilience by implementing comprehensive testing, tracing, and vaccination measures. Given the unique cultural and religious characteristics of Makkah, specific challenges have prompted efforts to uncover local pandemic responses. This qualitative assessment aims to delineate the challenges faced by decision-makers during COVID-19 in Makkah and identify key interventions implemented by the Makkah healthcare cluster to manage and coordinate care...

INTRODUCTION: Acute pancreatitis is an acute inflammatory process of the pancreas with a high prevalence rate and varying degrees of severity that can be potentially life threatening. Much is still unknown about which mechanisms determine the course and severity of acute pancreatitis. The primary objective of this review is to identify the potential association between circulating B and T lymphocytes and the severity of acute pancreatitis. Subgroup analyses will be done according to the severity classification of the Revised Atlanta Classification System as well as according to the distinction between B lymphocytes and T lymphocytes and the severity of acute pancreatitis...

BACKGROUND: Early detection of mild cognitive impairment (MCI), a transitional stage between normal aging and Alzheimer disease, is crucial for preventing the progression of dementia. Virtual reality (VR) biomarkers have proven to be effective in capturing behaviors associated with subtle deficits in instrumental activities of daily living, such as challenges in using a food-ordering kiosk, for early detection of MCI. On the other hand, magnetic resonance imaging (MRI) biomarkers have demonstrated their efficacy in quantifying observable structural brain changes that can aid in early MCI detection...

BACKGROUND: 7 Tesla (7T) apparent diffusion coefficient (ADC) maps derived from diffusion-weighted imaging (DWI) demonstrate improved image quality and spatial resolution over 3 Tesla (3T) ADC maps. However, 7T magnetic resonance imaging (MRI) currently suffers from limited clinical unavailability, higher cost, and increased susceptibility to artifacts. PURPOSE: To address these issues, we propose a hybrid CNN-transformer model to synthesize high-resolution 7T ADC maps from multimodal 3T MRI...

Background: Previous investigations of time-to-pregnancy recognition have analysed data from national surveys and clinics, but this has not been investigated in the context of digital fertility applications. Timely pregnancy recognition can help individuals in health and pregnancy management, reducing maternal and foetal risk and costs, whilst increasing treatment options, availability, and cost. Methods: This dataset contained 23,728 pregnancies (conceived between June 2018 and December 2022) from 20,429 participants using a Food and Drug Administration (FDA) cleared fertility app in the United States...

Reactive oxygen species (ROS) are critical for cellular signaling. Various pathophysiological conditions are also associated with elevated levels of ROS. Hence, ROS-sensitive triggers have been extensively used for selective payload delivery. Such applications are predicated on two key functions: (1) a sufficient magnitude of concentration difference for the interested ROS between normal tissue/cells and intended sites and (2) appropriate reaction kinetics to ensure a sufficient level of selectivity for payload release...

PURPOSE OF REVIEW: Bladder cancer (BC) is a highly heterogenous disease comprising tumours of various molecular subtypes and histologic variants. This heterogeneity represents a major challenge for the development of novel therapeutics. Preclinical models that closely mimic in vivo tumours and reflect their diverse biology are indispensable for the identification of therapies with specific activity in various BC subtypes. In this review, we summarize efforts and progress made in this context during the last 24 months...

Despite evidence that elite-level cricket umpires are highly accurate in making leg-before-wicket (LBW) judgements, there is limited understanding as to how they make these judgements. In this study, we explored the explicit LBW decision-making expertise of elite-level cricket umpires ( N  = 10) via 10 individual semi-structured interviews. Using thematic analysis, we aimed to identify the sources of information that umpires incorporate into their decision-making process. Results indicated that umpires engage in intentional pre-delivery information-gathering to guide their expectations, and to set context-specific parameters as to what would constitute an LBW dismissal...

During the 14th century CE, a pivotal shift took place in the world of medicine as its epicenter transitioned from the Middle East to Europe. The emergence of the European Renaissance sparked skepticism regarding the significance of Avicenna's contributions to the advancement of medicine. This paper explores how the rise of secularization and the Renaissance in Europe marked significant cultural transformations, fostering the spread of literacy. These societal shifts influenced the trajectory of medical thought, and Avicenna's "Canon of Medicine" received both praise and condemnation amidst the evolving intellectual landscape...

Alcohols are abundant and attractive feedstock molecules for organic synthesis. Many methods for their functionalization require them to first be converted into a more activated derivative, while recent years have seen a vast increase in the number of complexity-building transformations that directly harness unprotected alcohols. This Review discusses how transition metal catalysis can be used toward this goal. These transformations are broadly classified into three categories. Deoxygenative functionalizations, representing derivatization of the C-O bond, enable the alcohol to act as a leaving group toward the formation of new C-C bonds...

Filariasis, a neglected tropical disease caused by roundworms, is a significant public health concern in many tropical countries. Microscopic examination of blood samples can detect and differentiate parasite species, but it is time consuming and requires expert microscopists, a resource that is not always available. In this context, artificial intelligence (AI) can assist in the diagnosis of this disease by automatically detecting and differentiating microfilariae. In line with the target product profile for lymphatic filariasis as defined by the World Health Organization, we developed an edge AI system running on a smartphone whose camera is aligned with the ocular of an optical microscope that detects and differentiates filarias species in real time without the internet connection...

Humanoid robots that can autonomously operate in diverse environments have the potential to help address labor shortages in factories, assist elderly at home, and colonize new planets. Although classical controllers for humanoid robots have shown impressive results in a number of settings, they are challenging to generalize and adapt to new environments. Here, we present a fully learning-based approach for real-world humanoid locomotion. Our controller is a causal transformer that takes the history of proprioceptive observations and actions as input and predicts the next action...

The COVID-19 pandemic was a socionatural disaster that unprecedentedly disrupted the daily lives of individuals, families, and communities. Prior research indicates that Black American men living in rural contexts, particularly in Southern parts of the United States of America, were disproportionately affected by the psychological and economic effects of the pandemic. Despite these disparities, few studies have examined the pandemic's impact on rural Black American men's social networks. This study aimed to explore the effects of the COVID-19 pandemic on rural Black American men's interpersonal relationships...

BACKGROUND: Understanding the current practice and the associated challenges in applying monitoring tools is essential to improving football performance in the Middle East, thus the purpose was to translate and culturally adapt a published questionnaire that assessed the practice and perception of High-Level football teams toward Training Load and Player Monitoring to be used in the Arabic context, aiming to contribute to the enhancement of football performance, player welfare, and training quality in the region...

Mental Health and Psychosocial Support (MHPSS) practitioners working in humanitarian contexts are at significant risk of mental health conditions, ultimately hindering the quality and sustainability of their work. Supportive supervision has shown to be effective in improving the wellbeing of MHPSS staff and volunteers and enhancing the effectiveness of MHPSS service delivery. Despite these proven benefits, there is a lack of standardised guidelines to inform supportive supervision within humanitarian contexts...

Traditional optical flame detectors (OFDs) in flame detection are susceptible to environmental interference, which will inevitably cause detection errors and miscalculations when confronted with a complex environment. The conventional deep learning-based models can mitigate the interference of complex environments by flame image feature extraction, which significantly improves the precision of flame recognition. However, these models focus on identifying the general profile of the static flame, but neglect to effectively locate the source of the dynamic flame...

Large language models (LLMs) underlie remarkable recent advanced in natural language processing, and they are beginning to be applied in clinical contexts. We aimed to evaluate the clinical potential of state-of-the-art LLMs in ophthalmology using a more robust benchmark than raw examination scores. We trialled GPT-3.5 and GPT-4 on 347 ophthalmology questions before GPT-3.5, GPT-4, PaLM 2, LLaMA, expert ophthalmologists, and doctors in training were trialled on a mock examination of 87 questions. Performance was analysed with respect to question subject and type (first order recall and higher order reasoning)...

We provide new algorithms for two tasks relating to heterogeneous tabular datasets: clustering, and synthetic data generation. Tabular datasets typically consist of heterogeneous data types (numerical, ordinal, categorical) in columns, but may also have hidden cluster structure in their rows: for example, they may be drawn from heterogeneous (geographical, socioeconomic, methodological) sources, such that the outcome variable they describe (such as the presence of a disease) may depend not only on the other variables but on the cluster context...

This paper evaluates the direct and indirect impacts (and their interactions) of individual and social ethics from (primary, secondary, tertiary) education and religion (Buddhism, Christianity, Hinduism, Islam, Judaism) on health and happiness in alternative religious contexts (majority and minority religions) and for alternative education policies (gross enrolment and per-student expenditure). It also specifies the time lag for the short-run indirect impact (and its size) of happiness on health and the long-run equilibria of both happiness and health...

Mast cells are tissue-resident immune cells strategically located in different compartments of the normal human heart (the myocardium, pericardium, aortic valve and close to nerves) as well as in atherosclerotic plaques. Cardiac mast cells produce a broad spectrum of vasoactive and proinflammatory mediators, which have potential roles in inflammation, angiogenesis, lymphangiogenesis, tissue remodeling and fibrosis. Mast cells release preformed mediators (e.g., histamine, tryptase, chymase) and de novo synthesized mediators [e...