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OBJECTIVE: The longitudinal variations in serum levels of the hormone osteocalcin is largely unknown during infancy and early childhood. Our aim was to establish reference limits for total serum osteocalcin during specific time points from birth until 5 years of age and present those in the context of sex, breastfeeding practices and gestational age (GA).DESIGN: Blood samples from 551 Swedish chil
Since the last edition of this book (2014), progress has been astonishing in all areas of Natural Language Processing, with recent achievements in Text Generation that spurred a media interest going beyond the traditional academic circles. Text Processing has meanwhile become a mainstream industrial tool that is used, to various extents, by countless companies. As such, a revision of this book was
As a component of myeloablative conditioning before allogeneic hematopoietic stem cell transplantation (HSCT), Total Body Irradiation (TBI) is employed in radiotherapy centers all over the world. In recent and coming years, many centers are changing their technical setup from a conventional TBI technique to multi-isocenter conformal arc therapy techniques such as Volumetric Modulated Arc Therapy (
Purpose: Prior research has proposed a number of scales measuring the customer experience (CX), which tend to conceptualize and operationalize CX differently, raising potential confusion among researchers (e.g. regarding which scale to use). Addressing this issue, this article conducts a systematic review to inventorize key CX scales and assess their theoretical rigor, with a focus on the identifi
Objectives: To perform a descriptive analysis of a series of patients with recurrent macroscopic haematuria after a primary standard evaluation including computed tomography urography (CTU) and cystoscopy negative for urinary bladder cancer (UBC) and upper tract urothelial cancer (UTUC) and to identify potential factors associated with occurrence of recurrent macroscopic haematuria. Methods: All p
Climate change has diverse effects on the planet’s environment, including changes and shifts in the distribution and abundance of species. In this paper, we present a robust prediction ensemble algorithm for the current and future species distribution of Aegilops tauschii. Four modeling approaches were trained using various environmental variables (bioclimatic and soil variables) to accurately pre
Protein tyrosine phosphatases (PTPs) possess a conserved mobile catalytic loop, the WPD-loop, which brings an aspartic acid into the active site where it acts as an acid/base catalyst. Prior experimental and computational studies, focused on the human enzyme PTP1B and the PTP from Yersinia pestis, YopH, suggested that loop conformational dynamics are important in regulating both catalysis and evol
We aimed to explore social workers’ experiential accounts of developing complex interventions for youth and families within practice settings. Social workers’ experience of developing interventions has not been leveraged in scientific research even though many complex interventions in use are developed by social workers in practice settings. Lack of insight into the intervention development proces
The Epithelial Science Expert Group convened on 18–19 October 2023, in Naples, Italy, to discuss the current understanding of the fundamental role of the airway epithelium in asthma and other respiratory diseases and to explore the future direction of patient care. This review summarises the key concepts and research questions that were raised. As an introduction to the epithelial era of research,
Food packaging is one of the most important strategies to prevent food damage or spoilage during storage and the supply chain. Among various food types, seafood, a high-value product, is particularly vulnerable to post-harvest quality loss and microbial contamination during storage. Although current plastic-based packaging materials are durable, they pose a serious threat to the environment. There
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
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
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
The serine protease cathepsin G is synthesized during the promyelomonocytic stage of neutrophil and monocyte differentiation. After processing, including removal of an amino-terminal propeptide from the catalytically inactive proform, the active protease acquires a mature conformation and is stored in azurophil granules. To investigate the importance of the proform-conformation for targeting to gr
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
Failure mode and effects analysis (FMEA) is a critical but labor-intensive process in product development that aims to identify and mitigate potential failure modes to ensure product quality and reliability. In this paper, a novel framework to improve the FMEA process by integrating generative artificial intelligence (AI), in particular large language models (LLMs), is presented. By using these ad
