bluuebunny/crossref_metadata_2025_split huggingface dataset:
The contribution of the sphingosine 1-phosphate signaling pathway to chronic kidney diseases: recent findings and new perspectives
Authors: Schwalm Stephanie , Manaila Roxana , Oftring Anke , Schaefer Liliana , von Gunten Stephan , Pfeilschifter Josef 
Published: October 2024

AbstractChronic kidney disease (CKD) is a multifactorial condition with diverse etiologies, such as diabetes mellitus, hypertension, and genetic disorders, often culminating in end-stage renal disease (ESRD). A hallmark of CKD progression is kidney fibrosis, characterized by the excessive accumulation of extracellular matrix components, for which there is currently no effective anti-fibrotic therapy. Recent literature highlights the critical role of sphingosine 1-phosphate (S1P) signaling in CKD pathogenesis and renal fibrosis. This review provides an in-depth analysis of the latest findings on S1P metabolism and signaling in renal fibrosis and in specific CKDs, including diabetic nephropathy (DN), lupus nephritis (LN), focal segmental glomerulosclerosis (FSGS), Fabry disease (FD), and IgA nephropathy (IgAN). Emerging studies underscore the therapeutic potential of modulating S1P signaling with receptor modulators and inhibitors, such as fingolimod (FTY720) and more selective agents like ozanimod and cenerimod. Additionally, the current knowledge about the effects of established kidney protective therapies such as glucocorticoids and SGLT2 and ACE inhibitors on S1P signaling will be summarized. Furthermore, the review highlights the potential role of S1P as a biomarker for disease progression in CKD models, particularly in Fabry disease and diabetic nephropathy. Advanced technologies, including spatial transcriptomics, are further refining our understanding of S1P’s role within specific kidney compartments. Collectively, these insights emphasize the need for continued research into S1P signaling pathways as promising targets for CKD treatment strategies.
Endoscopic or combined management of post-surgical biliary leaks: a two-center recent experience
Authors: Quintini Dario , Rizzo Giacomo Emanuele Maria , Tarantino Ilaria , Sarzo Giacomo , Fantin Alberto , Miraglia Roberto , Maruzzelli Luigi , Ligresti Dario , Carrozza Lucio , Rancatore Gabriele , Gruttadauria Salvatore , Cillo Umberto , Ferrara Francesco , Traina Mario 
Published: October 2024

Abstract
Background and Aims
Post-surgical biliary leaks (PSBL) are one of the most prevalent and significant adverse events emerging after liver or biliary tract surgeries. Endoscopic retrograde cholangiopancreatography (ERCP) alone or combined with another approach (Rendez Vous) as treatment of PSBL obtains optimal outcomes due to the possibility of modifying the resistances in the biliary tree.

Methods
A retrospective double-center study was conducted in two tertiary centers. Consecutive patients who underwent at least one attempt of PSBL correction by ERCP or Rendez Vous procedure between January 2018 and August 2023 were included. The primary outcome was overall endoscopic clinical success. In contrast, the secondary outcomes were hospital stay exceeding five days and endoscopic clinical success with the first endoscopic procedure at the tertiary center. Both univariate and multivariate analyses were used to assess outcomes.

Results
65 patients were included. Patients with one or multiple) leaks had more possibility to achieve the endoscopic clinical success compared to those affected by the association of leaks and stricture (96% vs 67%, p value 0.005). Leaks occurring in the main biliary duct had less probability (67%) to achieve the overall endoscopic clinical success compared to those in the end-to-end anastomosis (90%), in the resection plane or biliary stump (96%) or first or secondary order biliary branches (100%, p value 0.038). A leak-bridging stent positioning had more probability of achieving the endoscopic clinical success than a not leak-bridging stent (91% vs 53%, p value 0.005).

Conclusions
ERCP and Rendez Vous procedures are safe and effective for treating PSBL, regardless of the type of preceding surgery, even if technical or clinical success was not achieved on the first attempt. A stent should be placed, if feasible, leak-bridging to enhance treatment efficacy.

Graphical abstract
Exploring perceived relationships between weather, climate and mental health: biometeorological perspectives of healthcare practitioners
Authors: Waja Mukhtaar , Fitchett Jennifer M. 
Published: October 2024

AbstractOver the last decade, there has been an increase in research examining the influence of weather and climate in mental health caseloads. Variations in temperature, sunshine hours, cloud cover, precipitation and extreme weather events have been statistically linked to diagnoses and increases in hospital admissions for several mental health conditions. This study aimed to explore whether mental health practitioners perceive there to be a link between mental health and daily, seasonal, or inter-annual shifts in various climate variables in South Africa, and the timing and causal mechanisms thereof. Semi-structured interviews were conducted with 50 practicing healthcare practitioners, and the data was analysed using thematic analysis. The findings of this research show that all 50 participants were aware of the link between weather, climate and mental health, primarily through their awareness of seasonal affective disorder. Of the 50 participants, 38 participants could explain the aetiology of seasonal affective disorder. Participants perceived sunlight and temperature to exert an influence on mental health. All 50 participants perceived exposure to sunlight to exert a positive influence on several mental health conditions. Of the 50 participants, 36 participants perceived increases in temperature to exert an adverse effect on mental health symptomology. A minority of 11 participants perceived precipitation to influence mental health conditions such as seasonal affective disorder, bipolar disorder, and substance abuse disorder. Participants’ perceptions of the influence of precipitation on mental health provided a unique potential explanation of this relationship, which, at the time of writing, has not been discussed in formal research.
VISTA: vision improvement via split and reconstruct deep neural network for fundus image quality assessment
Authors: Khalid Saif , Abdulwahab Saddam , Stanchi Oscar Agustín , Quiroga Facundo Manuel , Ronchetti Franco , Puig Domenec , Rashwan Hatem A. 
Published: October 2024

AbstractWidespread eye conditions such as cataracts, diabetic retinopathy, and glaucoma impact people worldwide. Ophthalmology uses fundus photography for diagnosing these retinal disorders, but fundus images are prone to image quality challenges. Accurate diagnosis hinges on high-quality fundus images. Therefore, there is a need for image quality assessment methods to evaluate fundus images before diagnosis. Consequently, this paper introduces a deep learning model tailored for fundus images that supports large images. Our division method centres on preserving the original image’s high-resolution features while maintaining low computing and high accuracy. The proposed approach encompasses two fundamental components: an autoencoder model for input image reconstruction and image classification to classify the image quality based on the latent features extracted by the autoencoder, all performed at the original image size, without alteration, before reassembly for decoding networks. Through post hoc interpretability methods, we verified that our model focuses on key elements of fundus image quality. Additionally, an intrinsic interpretability module has been designed into the network that allows decomposing class scores into underlying concepts quality such as brightness or presence of anatomical structures. Experimental results in our model with EyeQ, a fundus image dataset with three categories (Good, Usable, and Rejected) demonstrate that our approach produces competitive outcomes compared to other deep learning-based methods with an overall accuracy of 0.9066, a precision of 0.8843, a recall of 0.8905, and an impressive F1-score of 0.8868. The code is publicly available at https://github.com/saifalkhaldiurv/VISTA_-Image-Quality-Assessment.
Defining a core outcome set for hypermobility spectrum disorders and hypermobile Ehlers-Danlos syndrome: A Delphi consensus study
Authors: Clark Natalie L. , Johnson Melissa , Rangan Amar , Kottam Lucksy , Hogarth Andrea , Scott Sarah , Swainston Katherine 
Published: October 2024

AbstractThe reported prevalence of hypermobility spectrum disorders (HSD) and hypermobile Ehlers-Danlos Syndrome (hEDS) is unclear due to complex presentations and lack of awareness amongst professionals, contributing to diagnostic and management uncertainties. Standardising an outcome measure to assess symptoms most important to patients should help determine the impact of interventions. This Delphi study aims to reach a consensus with stakeholders on the core outcome set for children and adults with HSD/hEDS. A three-round modified Delphi consensus study with a follow-up consensus meeting was used. Stakeholder groups consisted of (1) individuals with HSD/hEDS; (2) family/friends/carers and (3) healthcare professionals. Participants could belong to more than one stakeholder group. They rated 74 symptoms using a 9-point Likert scale: 1 “not important to 9 “critically important”. Symptoms achieving a consensus rating of ≥ 70.0% critical importance across all groups were included. In Round 1, 766 responses were received from 600 participants, reducing to 566 responses from 438 participants by Round 3, with 53 participating in the consensus meeting. Overall, 30 symptoms met the ≥ 70.0% critically important threshold to be included in the final core outcome set. These were categorised under the specialties of musculoskeletal and orthopaedics, social, pain, gynaecology and urology, negative affect, neurological, gastrointestinal and “other”. This study is the first to identify by consensus the core outcome set to be measured for patients with HSD/hEDS. The importance of these outcomes was confirmed by individuals living with the condition, their family, friends, carers and relevant healthcare professionals. Trial registration: IRAS ID: 326,855; East Midlands — Leicester South REC (reference: 23/EM/0143); Protocol registered with the COMET Initiative.

Key Points• There is a lack of standardised outcome measure for HSD/hEDS research studies due to the heterogeneity of symptom presentations.• Symptoms across musculoskeletal and orthopaedics, social, pain, gynaecology and urology, negative affect, neurological, gastrointestinal and “other” specialties were identified as the core outcome set defined as ≥ 70.0% critically important to measure for individuals with HSD/hEDS.• There were a significant number of symptoms, widely recognised in the literature to be comorbid to HSD/hEDS, that reached a critical importance threshold of 50.0–69.9%, restricting the core outcome set to only those that met 70% or above may be limiting.
Multi-Modal Pose Representations for 6-DOF Object Tracking
Authors: Majcher Mateusz , Kwolek Bogdan 
Published: October 2024

AbstractPose estimation methods for robotics should return a distribution of poses rather than just a single pose estimate. Motivated by this, in this work we investigate multi-modal pose representations for reliable 6-DoF object tracking. A neural network architecture for simultaneous object segmentation and estimation of fiducial points of the object on RGB images is proposed. Given a priori probability distribution of object poses a particle filter is employed to estimate the posterior probability distribution of object poses. An advanced observation model relying on matching the projected 3D model with the segmented object and a distance transform-based object representation is used to weight samples representing the probability distribution. Afterwards, the object pose determined by the PnP algorithm is included in the probability distribution via replacing a particle with the smallest weight. Next, a k-means++ algorithm is executed to determine modes in a multi-modal probability distribution. A multi-swarm particle swarm optimization is then executed to determine the finest modes in the probability distribution. A subset of particles for final pose optimization is found in a multi-criteria analysis using the TOPSIS algorithm. They are verified using conflicting criteria that are determined on the basis of object keypoints, segmented object, and the distance transform. On the challenging YCB-Video dataset it outperforms recent algorithms for both object pose estimation and object pose tracking.
Up-conversion materials for solid-state lighting
Authors: Almeida Rui M. , Alves E. , Santos Luís F. 
Published: October 2024

AbstractConventional phosphor-converted white LEDs (WLEDs), using (Stokes) down-conversion light emission, suffer from a red deficiency that increases the Color Temperature towards “cool white light” above 5000 K. The present work describes a phosphor-Up-converted WLED approach that wishes to overcome this issue by achieving white light generation (WLG) through Up-conversion photoluminescence (UCPL), without energy losses due to Stokes shift and excited by a 980 nm LED instead of the more expensive blue LEDs. The UC materials include thin films of lanthanide (Ln)-doped aluminosilicate glass multilayers, alternating (Ln)-doped aluminosilicate and titania films in the form of 1-D photonic crystals and Ln ion-implanted materials. Sol-gel (SG) processing has been used as a low-cost high purity processing method to prepare titania, as well as aluminosilicate films containing Er3+, Tm3+ and Yb3+, for WLG and possible application as WLED materials. The total Ln content varied from a high of 22 mol% to as low as 5.8 mol%. The materials prepared have been characterized by UV-Vis-NIR (using a variable angle specular reflection accessory), plus FTIR and UCPL spectroscopies. The UC light emission was analyzed with the help of CIE chromaticity diagrams.
Graphical abstract
The psychology of entrepreneurial performance—theoretical and applied: Robert A. Baron and Michael Frese, co-recipients of the 2024 Global Award for Entrepreneurship Research
Authors: McMullen Jeffery S. , Henrekson Magnus , Naldi Lucia , Stenkula Mikael , Thorburn Karin , Wigren-Kristoferson Caroline , Wincent Joakim , Zander Ivo 
Published: October 2024

AbstractProfessors Robert A. Baron and Michael Frese are the joint recipients of the 2024 Global Award for Entrepreneurship Research. Their research contributions have helped establish the disciplinary foundation necessary to explore entrepreneurship from theoretical and applied psychological perspectives. From a theoretical psychological perspective, Professor Baron has repeatedly introduced a disciplinary scaffolding from cognitive psychology, social psychology, and judgment and decision-making psychology to develop the field’s socio-cognitive perspective. He has examined entrepreneurship’s basic “why” questions: (1) Why do some persons but not others choose to become entrepreneurs? (2) Why do some persons but not others recognize opportunities for new products or services that can be profitably exploited? (3) Why are some entrepreneurs so much more successful than others? From an applied psychological perspective, Professor Frese has examined entrepreneurship as the epitome of a proactive approach to work, advocating the benefits of personal initiative and the need for a self-regulatory approach to performance among both small business owners and employees in transition economies. Continually taking stock of what is known about the psychology of entrepreneurship through reviews and meta-analysis, he and his students have advanced an evidence-based approach to entrepreneurial training and performance in challenging contexts. Together, Professors Baron and Frese have served as ambassadors for the field of entrepreneurship, welcoming an entire generation of micro scholars to explore the entrepreneurial process and the psychology of the entrepreneurs who enact it.
Transcervical Fibroid Ablation (TFA): Current Status and New Developments
Authors: Roy K. H. , Lindner Leslie Hansen , Gill Tasha L. , Hurst Bradley S. 
Published: October 2024

Abstract
Aim
Transcervical fibroid ablation offers a non-invasive alternative to traditional surgical options for the treatment of symptomatic uterine fibroids using real-time visualization using intrauterine ultrasound guidance.

Purpose of Review
To review the recent clinical literature on transcervical fibroid ablation (TFA) with the Sonata® System and discuss new developments in the use of such technology.

Recent Findings
Nearly six years since the Food and Drug Administration (FDA) approval in the United States (2018) and 14 years since receiving CE Mark in Europe, TFA with the Sonata system has been used to treat over 30,000 myomas in more than 10,000 procedures world-wide. Data regarding pregnancy outcomes, timing of pregnancy, route of delivery, neoadjuvant use of GnRH analogues and whether TFA is an effective treatment for adenomyosis remain fertile areas for investigation. Significant complications have been rarely reported.
Urban Patterns from Space: A Remote Sensing Based Comparison Between France and Germany
Authors: Schmitt Andreas , Haselmayr Teresa , Taubenböck Hannes 
Published: October 2024

Abstract
This article presents two novel methods on how to derive and visualise settlement patterns from space: a non-parametric approach called multi-scale homogeneity and a parametric, unsupervised approach known as hierarchical multi-scale clustering that models the urban clusters with the help of Gaussian bell curves. The main advantage of remote sensing based acquisition and fully automated evaluation methods is their consistency over large coverages. The Global Urban Footprint-Density (GUF-DenS) indicating the degree of impervious surfaces worldwide serves as database. The geographical focus lies on the neighbouring central-European countries France and Germany. Assuming that the centralist and federal administrative systems resulting from the individual history show a certain impact on the urban patterns, both countries are first examined separately, then together as union. The numerical comparison proofs the expected differences: the settlement pattern of the capital Paris as the largest metropolitan region in France is dominating, whereas several economic clusters of more of less similar size like Rhine–Ruhr and Rhine–Main characterise the German urban landscape. The most interesting and unexpected findings are located along the border, where neighbouring urban ellipses overlay in the separate processing and form transnational clusters when processed as union. One can interpret that the national border does not play a role in the urban development (any longer). The temporal change of the settlement patterns as effect of the regional planning strategies or the opening of the inner-European border cannot be derived from the mono-temporal GUF-DenS and thus, will be subject to future studies.
The –WIND RISK project: nowcast and simulation of thunderstorm outflows
Authors: Burlando Massimiliano , Miglietta Mario Marcello , Avolio Elenio , Bechini Renzo , Cassola Federico , De Martin Francesco , Lagasio Martina , Milelli Massimo , Parodi Antonio , Romanic Djordje 
Published: October 2024

Abstract
–WIND RISK is a research project dealing with measurement and modelling of wind fields within thunderstorm cumulonimbus clouds and outflows at the ground (i.e., downbursts and gust fronts). The general objective of the project is to advance the knowledge about the processes occurring inside thunderstorm clouds responsible for strong outflows, and the identification of the environmental (synoptic and meso-scale) conditions favourable to their development. The area under investigation is Northwestern Italy and the Ligurian Sea, which are among the most exposed regions to strong thunderstorms in Europe. Two measurement campaigns using Doppler weather radars and remote-sensing ground-based anemometry, and ad-hoc simulations using the WRF model are carried out to build a database of thunderstorm wind fields with special focus on downdraft and downburst characterization. All measurements and simulations are shared within the scientific community after the end of the project through datasets published on open access platforms.
Let’s Be Honest: Adolescents Speak Up on How to Better Protect Young People from Gambling Harm
Authors: Lole Lisa , Hing Nerilee , Thorne Hannah , Sproston Kerry , Hodge Nicole , Rockloff Matthew 
Published: October 2024

AbstractThe importance of safeguarding young people from harmful gambling is widely acknowledged, but limited research has sought adolescents’ perspectives on strategies to provide this protection. The current study addresses this gap in understanding. Eighty-nine Australians aged 12–17 years, classed as either at-risk/problem gamblers, non-problem gamblers or non-gamblers, participated in qualitative interview and/or online community conditions. Themes extracted from the data on the things participants believe should be implemented to achieve this aim include open and honest advice from parents; schools-based education that is meaningful, authentic and based on lived experience; truth and transparency in advertising; social marketing that reaches and informs youth; and governments to regulate the gambling and gaming industries into acting ethically and not exploiting young people. At-risk/problem gambler adolescents were able to offer more detailed suggestions on strategies that would protect young people from gambling harm, frequently drawing on their own personal experiences or the stories they heard from others. Multifaceted strategies are required to help adolescents make informed decisions about gambling. Developing and implementing such strategies to protect minors from gambling harm requires a cohesive effort and commitment to addressing this public health issue. Recommendations on how regulators, industry, parents and other stakeholders may contribute to this effort are discussed.