Filetype
Modern hydrological modeling frequently incorporates global remote sensing or reanalysis products for multivariate calibration. Although these datasets significantly contribute to model accuracy, the inherent uncertainties in the datasets and multivariate calibration present challenges in the modeling process. To address this issue, this study introduces an adaptive, process-wise fitting framework
In their most extreme form, sex chromosomes exhibit a complete lack of genetic recombination along much of their length in the heterogametic sex. Some recent models explain the evolution of such suppressed recombination by the "sheltering"of deleterious mutations by chromosomal inversions that prevent recombination around a polymorphic locus controlling sex. This sheltering hypothesis is based on
Copper is an essential micronutrient and yet is highly toxic to cells at elevated concentrations. P1B-ATPase proteins are critical for this regulation, providing active extrusion across cellular membranes. One unique molecular adaptation of P1B-ATPases compared to other P-type ATPases is the presence of metal-binding domains (MBDs) at the cytosolic termini, which however are poorly characterized w
Protein maldigestion and malabsorption lead to malnutrition and are a feature of exocrine pancreatic insufficiency (EPI). Although it is the current standard, measurement of nitrogen in stool to assess protease activity is indirect. Up to 80% of hydrolysed proteins appear in blood in the form of peptides, so we developed a method to measure peptide-derived amino acids in plasma as a relevant measu
BACKGROUND: While the associations between pediatric non-obese metabolic dysfunction-associated fatty liver disease (MAFLD) and multiple diagnostic biomarkers are well-established, the role of a broader range of blood-based, urine-based, and body composition-based biomarkers for monitoring MAFLD are needed.METHODS: A pediatric cohort was established in Wuxi, China. We measured body composition bio
At the Istituto Nazionale di Fisica Nucleare – Laboratori Nazionali del Sud (INFN-LNS) the commissioning of the high intensity Proton Source for the European Spallation Source (PS-ESS) started some weeks ago. Beam stability at high current intensity is one of the most important parameter for the first steps of the ongoing commissioning. Commissioning plan and preliminary characterization are also
The complex orography of the Tibetan plateau (TP) and the scarcity and uneven spatial distribution of meteorological stations present significant challenges in accurately estimating meteorological variables for hydrological simulations. This study aims to enhance the accuracy of daily precipitation and temperature interpolation for hydrological simulations in the Lhasa River Basin (LRB), particula
When processing radar signals, the target steering vector is generally only partially known, being subject to various forms of errors and mismatches. In this article, we investigate the design of an unimodular transmit sequence that is robust against steering vector mismatches, with the aim of enhancing the performance of a frequency diverse array multiple-input-multiple-output (FDA-MIMO) radar sy
This article provides a comprehensive overview of digital technologies for water use and management in agriculture, examining recent applications and future prospects. It examines key water-related challenges - scarcity, pollution, inefficient use and climate change - and shows how various digital technologies such as Remote Sensing, Artificial Intelligence, the Internet of Things, Big Data, Robot
Recently, work conducted by the European Commission’s Joint Research Centre demonstrated that Ireland had the highest prevalence of loneliness of all European countries. Given the range of adverse physical and psychological consequences associated with loneliness, it is vital to ask why Ireland is experiencing such high prevalence. Here, we discuss potential contributing factors, including: Irelan
We explore how the Resilient Urban Food Systems (RUFS) project applied a theory of change approach to raise awareness of the importance of smallholder farmers and to bring them into decision making processes, as key players working towards a sustainable and resilient food system in Kasese Municipality and Mbale City in Uganda. Critical inputs from using a theory of change approach included: consta
A Stein-type control function maximum likelihood (CFML) estimator is suggested for the probit model in the presence of endogeneity. This novel estimator combines the probit maximum likelihood and CFML estimators. The asymptotic distribution and risk function for the new estimator is derived. It is demonstrated that, subject to certain conditions of the shrinkage parameter, the asymptotic risk of t
Sound is a valuable cue in the marine environment that can inform animals about habitat location and community composition. Indeed, sound is often used for orientation and navigation by larval reef fishes during settlement. However, despite sound’s role in the early life of reef fishes, whether post-settlement reef fishes use ambient soundscapes to inform their movement decisions remains less clea
Today's petrochemical industry relies on fossil hydrocarbons, not only for energy purposes but also as feedstock. This use of fossil materials is being challenged by the European Union's target to achieve climate neutrality by 2050. The most affected region in Europe is the cross-border region between Antwerp, Rotterdam and the Rhine-Ruhr area in western Germany, an interconnected petrochemical me
Covid-19 has triggered a massive global challenge with 1,576,069 overall confirmed cases, 1,545,429 recovered cases, and 30,640 deaths across Pakistan. Epidemiological models have always played an important role in understanding the dynamics of such infectious diseases. The severity of Covid-19 infection depends on several factors such as immune system and virus variants. Although detailed epidemi
The traditional way of teaching may no longer be sufficient to cope with current requirements specifically in the Internet of Things (IoT) domain. The case for this paper is related to an introductory programming course on JavaScript for the period of 2016-2018. In this study a multi-method approach for data collection is utilized. Project-Based Learning (PBL), Scrum and rapid prototyping are util
