Background and purpose: Traumatic brain injury (TBI) is a major source of health loss and disability worldwide. Accurate and timely diagnosis of TBI is critical for appropriate treatment and management of the condition. Neuroimaging plays a crucial role in the diagnosis and characterization of TBI. Computed tomography (CT) is the first-line diagnostic imaging modality typically utilized in patient

Background: The role of prostate-specific antigen (PSA) testing in prostate cancer (PCa) screening has evolved over recent decades with multiple randomized controlled trials (RCTs) spurring guideline changes. At present, controversy exists due to the indolent nature of many prostate cancers and associated risks of overdiagnosis and overtreatment. This review examines major RCTs evaluating PSA scre

Background: Suicidal behaviors are prevalent public health concerns, and we need to improve our predictive ability to better inform prevention efforts. Methods: Using nationwide longitudinal Swedish registers, we included 344,490 males and 323,177 females born 1982–1990 with information on genetic liability and environmental exposures from birth to age 16: perinatal variables, parental psychopatho

Background: Global supply chains are confronted with the challenge of ensuring on-time deliveries while simultaneously enhancing supply chain resilience. Conventional methods aim to address the complexities of modern supply chains, promoting the transition to intelligent and data-driven strategies. Methods: This research represents an innovative methodology for predicting the risk of late deliveri

Multi-functional molecules with spirocyclic acetal structures have recently emerged as attractive monomers to prepare high-performance polymers, which may subsequently be de-polymerized and recycled under specific physicochemical conditions. Spirocyclic acetal structures can be formed by condensation of a suitable aldehyde or ketone with a polyol so that the functionalities necessary for the polym

Dimethyl ether (DME) is promising as an additive for co-firing with ammonia (NH3) to solve the problem of its low reactivity combustion. However, the combustion modeling of blended fuels is challenging, and previous efforts primarily relied on the adjustment of rate constants for key reactions to bridge the gap between experiments and simulations. In the present work, ab initio kinetic studies wer

Filter exchange imaging (FEXI) is a double diffusion-encoding (DDE) sequence that is specifically sensitive to exchange between sites with different apparent diffusivities. FEXI uses a diffusion-encoding filtering block followed by a detection block at varying mixing times to map the exchange rate. Long mixing times enhance the sensitivity to exchange, but they pose challenges for imaging applicat

Retraction to: Nature Cell Biology23:758-770 https://doi.org/10.1038/s41556-021-00702-0 (2021) The authors have retracted this article because it has come to their attention that numerous errors have been identified in the immunoblotting (western blotting) experiments shown in the main Figures 1c, 3a, 4f, 5b and 6b, and the supplementary Figures 1b, 1c, 2d, 3a, 3c, 7f, 8b and 9b. The authors have

The age-standardized prevalence of Parkinson's disease (PD) has increased substantially over the years and is expected to increase further. This emphasizes the need to identify modifiable risk factors of PD, which could form a logical entry point for the prevention of PD. The World Health Organization (WHO) has recommended reducing exposure to specific environmental factors that have been reported

This paper focuses on the meticulous selection of optimal remote sensing and climate datasets for Gross Primary Productivity (GPP) estimation in African rangelands. Utilizing Eddy Covariance Flux Tower data, we refine data selection and employ a Light Use Efficiency (LUE) model, with Sentinel 2 for photosynthetically active vegetation quantification, MODIS for Photosynthetically Active Radiation (

This research explores herbaceous biomass estimation in African rangelands through remote sensing, emphasizing challenges and uncertainties. Comparing remote sensing data with ground validation, the study addresses spatiotemporal variations, employing advanced models and validation techniques. Harmonizing and calibrating ground data from four African countries, the research provides insights into

Background: Few studies describe the use of the Post-Stroke Checklist (PSC) as a tool for longitudinal stroke follow-up in clinical practice. We mapped the prevalence of stroke-related health problems and targeted interventions at 3 and 12 months post-stroke by using the PSC. Methods: Patients with acute stroke discharged home in 2018–2019 at Skåne University Hospital, Sweden, were invited to part

Earth observation data provide useful information for the monitoring and management of vegetation- and land-related resources. The Framework for Operational Radiometric Correction for Environmental monitoring (FORCE) was used to download, process and composite Sentinel-2 data from 2018–2020 for Uganda. Over 16,500 Sentinel-2 data granules were downloaded and processed from top of the atmosphere re

It is now understood that hematological diseases can have detrimental effects on the retina, reducing retinal capillaries, compromising visual function, and potentially causing irreversible visual impairment. Over the years, there has been limited research on macular microvascular abnormalities, such as changes in vessel density and the foveal avascular zone (FAZ) and variations in the severity of

The integration of high-precision cellular localization and machine learning (ML) is considered a cornerstone technique in future cellular navigation systems, offering unparalleled accuracy and functionality. This study focuses on localization based on uplink channel measurements in a fifth-generation (5G) new radio (NR) system. An attention-aided ML-based single-snapshot localization pipeline is The integration of high-precision cellular localization and machine learning (ML) is considered a cornerstone technique in future cellular navigation systems, offering unparalleled accuracy and functionality. This study focuses on localization based on uplink channel measurements in a fifth-generation (5G) new radio (NR) system. An attention-aided ML-based single-snapshot localization pipeline is

Objective: As a result of conflicting, inadequate or controversial data in the literature, several issues concerning the management of patients with abdominal aortic aneurysms (AAAs) remain unanswered. The aim of this international, expert-based Delphi consensus document was to provide some guidance for clinicians on these controversial topics. Methods: A three-round Delphi consensus document was