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Optimizing Remote Sensing Data and Light Use Efficiency Model for Accurate Gross Primary Production Estimation in African Rangelands

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 (

Remotely Sensed Herbaceous Rangelands Biomass from African Rangelands : Validation and Uncertainties

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

The Post-Stroke Checklist : longitudinal use in routine clinical practice during first year after stroke

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

A sentinel-2 dataset for Uganda

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

Quantitative detection of macular microvascular abnormalities identified by optical coherence tomography angiography in different hematological diseases

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

Attention-Aided Outdoor Localization in Commercial 5G NR Systems

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

An international, expert-based, Delphi consensus document on controversial issues in the management of abdominal aortic aneurysms

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

Channel Estimation using Processing In Memory Based on System Identification Technique

Accurate channel estimation is crucial for the design and implementation of effective equalization and beamforming techniques, contributing to the overall performance of wireless communication systems. This paper presents a novel approach for channel estimation based on an unknown system identification technique. The underlying idea is to employ the processing-in-memory (PIM) technique to implemen

Machine Perfusion and Bioengineering Strategies in Transplantation—Beyond the Emerging Concepts

Solid organ transplantation has progressed rapidly over the decades from the first experimental procedures to its role in the modern era as an established treatment for end-stage organ disease. Solid organ transplantation including liver, kidney, pancreas, heart, and lung transplantation, is the definitive option for many patients, but despite the advances that have been made, there are still sign

No one left behind : A universal design analysis of ship evacuation

An accident on a passenger ferry may lead to evacuation using lifeboats or liferafts, a process that can be both complex and hazardous. This paper investigates the level of safety for passengers during evacuation based on field study and interview data. In the analysis, the eight goals of Universal Design (UD) were tailored and used to explore what ship and interior characteristics influence evacu

Implementing injury prevention training in youth handball (I-PROTECT) in Sweden: Study protocol for a cluster-randomized trial

Introduction Efficacy trials show that evidence-based injury prevention training reduces injuries in youth athletes but effectiveness, that is, outside the controlled setting, is lower and, consequently this training has had limited public health impact. Insufficient involvement of end-users at the individual and organisational levels is identified as a main barrier to successful implementation. T

Histological variants of pancreatic ductal adenocarcinoma : a survival analysis

Purpose: Pancreatic ductal adenocarcinoma (PDAC) can be classified into distinct histological subtypes based on the WHO nomenclature. The aim of this study was to compare the prognosis of conventional PDAC (cPDAC) against the other histological variants at the population level. Methods: The Surveillance, Epidemiology and End Results (SEER) database was used to identify patients with microscopicall

Feminist activism in the post-2010s Sinosphere : Identifying issues, sharing knowledge, building movements

Bringing together scholars and scholar-activists from a wide range of disciplines, this groundbreaking book delves into the diversity and vibrancy of feminist activism in Xi-era China. Feminist Activism in the Post-2010s Sinosphere examines a variety of urgent feminist issues in 21st-century China, including the #MeToo movement, online misogyny, feminism in popular media, and the experiences and r

Being between life and death—experiences of COVID-19 survivors 12 to 18 months after being treated in intensive care

Purpose: This study aims to explore the experiences of care, psychosocial support, and psychosocial wellbeing among patients treated for COVID-19 in intensive care 12 to 18 months after discharge. Methods: This study used a qualitative approach with a descriptive design. Semi-structured interviews were performed with 20 adult patients treated for COVID-19 12 to 18 months after being discharged fro

Balancing the Charge Separation and Surface Reaction Dynamics in Twin‐Interface Photocatalysts for Solar‐to‐Hydrogen Production

Solar-driven photocatalytic green hydrogen (H2) evolution reaction presents a promising route toward solar-to-chemical fuel conversion. However, its efficiency has been hindered by the desynchronization of fast photogenerated charge carriers and slow surface reaction kinetics. This work introduces a paradigm shift in photocatalyst design by focusing on the synchronization of charge transport and s

Valence photoelectron spectra of aminobenzoic acid molecules : a combined theoretical and experimental study

The valence photoelectron spectra (PES) of gas-phase aminobenzoic acids (meta-, ortho- and para-isomers) were measured using synchrotron radiation and calculated from first principles using Density Functional Theory (DFT) with popular hybrid exchange-correlation functionals and many-body perturbation theory using the perturbative one-shot (G0W0) and eigenvalue self-consistent (GnW0) approaches wit

Aligning the smiles of dating dyads causally increases attraction

Social interaction research is lacking an experimental paradigm enabling researchers to make causal inferences in free social interactions. For instance, the expressive signals that causally modulate the emergence of romantic attraction during interactions remain unknown. To disentangle causality in the wealth of covarying factors that govern social interactions, we developed an open-source video-