bluuebunny/crossref_metadata_2025_split huggingface dataset:
Translational strategies to uncover the etiology of congenital anomalies of the kidney and urinary tract
Authors: Vendrig Lisanne M. , ten Hoor Mayke A. C. , König Benthe H. , Lekkerkerker Iris , Renkema Kirsten Y. , Schreuder Michiel F. , van der Zanden Loes F. M. , van Eerde Albertien M. , Groen in ’t Woud Sander , Mulder Jaap , Westland Rik ,   on behalf of the ArtDECO consortium, Klomp L. S. , Mak-Nienhuis L. M. , Marsman R. F. J. , Groen L. A. , Bourjouane D. , Tanck M. W. T. , Groothoff J. W. , Levtchenko E. , Brooks A. S. , Scheepe J. R. , Knoers V. V. A. M. , Deelen P. , Franke L. H. , van Rooij R. W. G. , Spijker H. S. , van den Berg C. W. , Bijkerk R. , Hohenstein P. , Rabelink A. J. , Feitz W. F. J. , Roeleveld N. , van Rooij I. A. L. M. , Schijven G. , Teuben S. , van de Geer-de Jong E. , Schulp J. A. , Klijn A. J. , Lichtenbelt K. D. , Bekker M. N. , Haaften G. van , Lilien M. R. 
Published: October 2024

Abstract
While up to 50% of children requiring kidney replacement therapy have congenital anomalies of the kidney and urinary tract (CAKUT), they represent only a fraction of the total patient population with CAKUT. The extreme variability in clinical outcome underlines the fundamental need to devise personalized clinical management strategies for individuals with CAKUT. Better understanding of the pathophysiology of abnormal kidney and urinary tract development provides a framework for precise diagnoses and prognostication of patients, the identification of biomarkers and disease modifiers, and, thus, the development of personalized strategies for treatment. In this review, we provide a state-of-the-art overview of the currently known genetic causes, including rare variants in kidney and urinary tract development genes, genomic disorders, and common variants that have been attributed to CAKUT. Furthermore, we discuss the impact of environmental factors and their interactions with developmental genes in kidney and urinary tract malformations. Finally, we present multi-angle translational modalities to validate candidate genes and environmental factors and shed light on future strategies to better understand the molecular underpinnings of CAKUT.

Graphical abstract
Prevention of post-transplant lymphoproliferative disorder in pediatric kidney transplant recipients
Authors: Pollack Shirley , Plonsky Moran , Tibi Rami , Libinson-Zebegret Irina , Yakobov Renata , Eisenstein Israel , Magen Daniella 
Published: October 2024

Abstract

Background
Post-transplant lymphoproliferative disorder (PTLD) is a devastating complication of immunosuppressive treatment in both solid organ transplantations (SOT) and hematopoietic stem cell transplantations (HSCT). Epstein-Barr virus (EBV) infection precedes PTLD in 90% of patients. Rituximab, a monoclonal anti-CD20 antibody, depletes B-lymphocytes, which are the ultimate reservoir for EBV. Although rituximab therapy is commonly used as a preventive measure for PTLD in high-risk HSCT, it is not established in SOT.

Methods
Pediatric kidney transplant recipients (PKTR) underwent routine EBV-PCR surveillance. Patients with increasing viral loads, despite immunosuppressive dose reduction, were managed with preventive rituximab therapy.

Results
Between 2012 and 2023, we identified eight episodes of asymptomatic EBV-PCR-positive blood tests in seven out of 65 PKTR (11%) under our care. EBV DNAemia emerged 120–720 days post-transplantation. Five of seven patients with EBV DNAemia (71%) were EBV-seronegative prior to transplantation. All five patients did not respond to MMF dose reduction and were therefore treated with preventive rituximab therapy. Following this treatment, EBV PCR clearance was observed in all patients with only minimal complications.

Conclusions
PKTR who are EBV-naïve prior to transplantation are expected to have a higher prevalence of EBV DNAemia. We found that PKTR who were EBV seronegative prior to transplantation were less likely to achieve EBV clearance in response to immunosuppression dose reduction. We suggest that rituximab therapy in PKTR may be safe and effective in EBV clearance and PTLD prevention.

Graphical abstract
Der European Mining Course – Bergbaulehre international gedacht
Authors: Feldmann Yannick , Lottermoser Bernd , Sifferlinger Nikolaus , Rinne Mikael , Guerrero Rodrigo Serna , Bender Niklas 
Published: October 2024

ZusammenfassungDer European Mining Course (EMC) ist ein internationales dreifach‑M.Sc.-Programm, welches Experten für den Bergbau und angrenzende Industrien ausbildet. Der EMC wird von drei international angesehenen Universitäten, der Aalto University aus Finnland, der RWTH Aachen University aus Deutschland und seit 2023 auch der Montanuniversität Leoben (Österreich) ausgerichtet. Die Studierenden durchlaufen im Rahmen des EMCs jeweils ein Semester an den drei Partneruniversitäten, bevor sie im vierten Semester ihre Masterarbeit zumeist in Kooperation mit der Industrie anfertigen. Nach erfolgreichem Abschluss des EMCs erhalten die Studierenden insgesamt drei M.Sc.-Abschlüsse, einen von jeder Partnerhochschule.Schon seit seiner Gründung 1996 zeichnet sich der EMC durch eine enge Kooperation mit der europäischen Bergbauindustrie aus und stellt so die Relevanz der Ausbildung sicher. Industrievorträge, Exkursionen und Praktika sowie die Möglichkeiten für Abschlussarbeiten bieten praxisnahe Einblicke für die Studierenden. Die Unterstützung der Industriepartner ist zentral durch die Federation of European Mineral Programs (FEMP) organisiert, die als gemeinnützige Stiftung Spenden aus der Industrie einsammelt und verwaltet. Aus den Beiträgen der Industrie werden beispielsweise Stipendien und extra-curriculare Aktivitäten finanziert. Im Gegenzug haben die Unternehmen Zugang zu dem Alumninetzwerk mit mehr als 800 Alumni und die Möglichkeit, sich selbst als attraktiver Arbeitgeber den Studierenden zu präsentieren.Als zweijähriges internationales Masterprogramm mit der Möglichkeit, in drei verschiedenen europäischen Ländern zu studieren, ist der EMC für Studierende äußerst attraktiv und konnte in den Jahren 2023 und 2024 jeweils Rekordbewerberzahlen verzeichnen. Das internationale, integrierte Curriculum des EMCs baut auf die sich ergänzende Expertise seiner Partneruniversitäten. Der EMC umfasst dabei Fächer zu Gebirgsmechanik, Geologie, Aufbereitungstechnik, Bergbaukunde, Maschinentechnik, Betriebswirtschaftslehre, Projektmanagement und diverse bergbauspezifische Fächer zu Wettertechnik, Abbauplanung und Umweltaspekten.Die bisherige Erfolgsgeschichte des EMC ist nur mit der Unterstützung aus der Industrie möglich gewesen. Um auch weiterhin hochqualifizierte Bergbauingenieure auszubilden, sind wir auf neue Kooperationen angewiesen.Weiterführende Informationen unter www.emc-master.eu,Möglichkeiten für Kooperationen unter www.femp.org.
Stability of optimal spherical codes
Authors: Böröczky Károly J. , Glazyrin Alexey 
Published: October 2024

Abstract
For many extremal configurations of points on a sphere, the linear programming approach can be used to show their optimality. In this paper we establish the general framework for showing stability of such configurations and use this framework to prove the stability of the two spherical codes formed by minimal vectors of the lattice

$$E_8$$

E
8

and of the Leech lattice.
Exo- and endoscopic two-step approach for meningeal tumours invading the lateral wall of large dural venous sinuses: how I do it
Authors: Iwami Kenichiro , Watanabe Tadashi , Takeuchi Kazuhito , Saito Ryuta 
Published: October 2024

Abstract

Background
Treating meningeal tumours invading the large dural venous sinuses is a subject of debate regarding the approach for removing the intra-sinus components. Additionally, directly observing the invasion site of tumours invading the lateral wall of the sinus is difficult.

Method
We describe our exo- and endoscopic two-step approach (EETA): an exoscope is used to remove the extra-sinus component, while an endoscope is used to observe the invaded lateral wall and remove the intra-sinus component.

Conclusion
EETA can be a viable option for treating meningeal tumours invading the venous sinus owing to its high resection rate and low invasiveness.
Entwicklungen in der Katathym Imaginativen Psychotherapie unter besonderer Berücksichtigung neuerer körperbezogener Konzepte
Authors: Pichler Mathilde 
Published: October 2024

ZusammenfassungNach einer kurzen allgemeinen Beschreibung der Katathym Imaginativen Psychotherapie nach H. C. Leuner werden neuere Entwicklungen in der Methode nachgezeichnet. Aufbauend auf verschiedenen Weiterentwicklungen allgemeiner psychodynamischer Konzepte im Bereich des therapeutischen Beziehungsverständnisses und der Bedeutung des Körpers in der frühen Selbstentwicklung sollen die Auswirkungen auf das Verständnis und die Behandlungstechnik in der Katathym imaginativen Psychotherapie dargestellt werden. Sowohl die Implikationen für das imaginative Geschehen selbst als auch für die Phasen der verbalen Nachbearbeitung der Imaginationen und des therapeutischen Gesprächs werden ausgeführt und anhand von entsprechenden methodenspezifischen Publikationen und Fallbeispielen dargestellt.
Disulfiram ameliorates bone loss in ovariectomized mice by suppressing osteoclastogenesis
Authors: Fukui Tatsuyuki , Terashima Asuka , Omata Yasunori , Chijimatsu Ryota , Okamoto Kazuo , Tsukasaki Masayuki , Fukuda Yukiko , Hayata Tadayoshi , Saitoh Akiyoshi , Toda Etsuko , Takayanagi Hiroshi , Tanaka Sakae , Terashima Yuya , Saito Taku 
Published: October 2024

Abstract
Introduction
Disulfiram (DSF), known as an anti-alcoholism drug, has been reported to suppress osteoclast differentiation in vitro; however, it remains uncertain whether DSF is effective in preventing osteoclastogenesis in vivo. This study aimed to investigate the effect of DSF administration in osteoporotic mice and its contribution to osteoclastogenesis in vivo.

Materials and methods
The bone phenotype of ovariectomized mice, both treated and untreated with DSF, was examined using microcomputed tomography analysis. Osteoclastic and osteoblastic parameters were assessed through bone morphometric analysis. The direct effect of DSF on osteoblastogenesis in vitro was evaluated via a primary osteoblast culture experiment. The expression of genes related to DSF targets (Nup85, Ccr2, and Ccr5) in osteoclast-lineage cells was examined using scRNA-seq analysis and flow cytometry analysis using the bone marrow cells from ovariectomized mice. The impact of DSF on osteoclast-lineage cells was assessed using primary cultures of osteoclasts.

Results
DSF administration ameliorated ovariectomy-induced bone loss and mitigated the increase of osteoclasts without affecting osteoblastogenesis. The scRNA-seq data revealed that osteoclast precursor cells expressed Nup85, Ccr2, and Ccr5. CCR2 and CCR5-positive cells in osteoclast precursor cells within bone marrow increased following ovariectomy, and this increase was canceled by DSF administration. Finally, we found that DSF had a significant inhibitory effect on osteoclastogenesis in the early stage by suppressing Tnfrsf11a expression.

Conclusion
This study demonstrates that DSF could be a candidate for osteoporosis therapies because it suppresses osteoclastogenesis from an early stage in vivo.
Individual child factors affecting the diagnosis of attention deficit hyperactivity disorder (ADHD) in children and adolescents: a systematic review
Authors: Tam Lok Yee Chloe , Taechameekietichai Yanisa , Allen Jennifer L. 
Published: October 2024

AbstractAttention deficit hyperactivity disorder (ADHD) is a prevalent condition characterised by patterns of inattention, hyperactivity, and impulsivity. This systematic literature review aims to identify the child clinical and sociodemographic factors related to the detection and diagnosis of ADHD in children and adolescents, given concerns about delays or failures in identifying ADHD as well as over-diagnosis, hindering appropriate and timely support for children and families. Through electronic and manual searches of peer-reviewed and grey literature, 5852 articles were identified and subjected to two stages of screening by independent reviewers. Due to the heterogeneity in study methods, a narrative approach was used to summarise study findings. Forty-one studies meeting eligibility criteria revealed sixteen child-related factors influencing the ADHD diagnostic process. These factors include ADHD subtype, ADHD symptom severity, comorbid mental disorders, behavior problems, internalizing symptoms, functional impairment, social and cognitive functioning, physical health, gender, age, relative age, race/ethnicity, socio-economic status, insurance coverage, residence urbanicity, and family structure. While the impact of many of these factors on ADHD diagnosis was inconsistent due to the substantial diversity in study designs and context, certain patterns emerged. Meeting the criteria for the inattentive subtype, lower functional impairment, female gender, Black or Latinx ethnicity, and being relatively young for their grade were consistently found to be associated with a delayed or absent ADHD diagnosis. Further research is needed to explore the intricate relationships between these child-level variables and their implications for ADHD recognition, referral, and evaluation, especially outside the USA.
Characterization of municipal solid waste with the perspective of biofuels and bioproducts recovery in Northeast Mexico
Authors: Martínez Rodolfo Daniel Silva , Jiménez Lourdes Díaz , Juárez Oscar Aguilar , Hernández Salvador Carlos 
Published: October 2024

AbstractThis work focuses on analyzing the physical composition of municipal solid waste (MSW) and the physicochemical characterization of the organic fraction of municipal solid waste (OFMSW) in a city in Northeast Mexico to propose an adequate treatment and valorization system. Diverse samples were analyzed over 5 months at the city of Saltillo landfill, where the daily discarded MSW was classified into household (HW), central market waste (CMW), and public areas and parks waste (PPW). For the HW and CMW, the fraction with the highest proportion was the organic residues from food products, with 22.15 and 25.78%, followed by other organic wastes (manure, yard waste, leaves, etc.) at 12.58 and 10.24%, respectively. Furthermore, the organic fraction was segregated from the rest of the MSW and classified into four subtypes, and their physical composition and physicochemical characteristics were determined. The results contribute to laying the foundations for the proper treatment of the OFMSW not just in the studied region but also in cities with similar conditions. Moreover, the OFMSW’s feasibility in treating via bioenergy technologies is revealed, and this research proposes a biorefinery treatment pathway through dark fermentation followed by high solids anaerobic digestion generating bioenergy and diverse bioproducts.
Determinism in Current Physics. Is It Possible?
Authors: González Daniel Heredia , Gomboso Marco 
Published: October 2024

AbstractWe discuss the possibilities of determinism in reality, taking under consideration both quantum and classical physics. We present this firstly by questioning the supposed nature of quantum physics as non-deterministic, following the proposal of Penrose: the collapse of the wavefunction interpreted as particular measurements which seem to indicate certain contingency does not actually give the full picture of the reality of the former. In addition to what Penrose suggests, we consider this collapse as part of a bigger deterministic picture. Secondly, we analyse the distinction between this microphysical scenario and our macrophysical experience, in the light of determinism as well. We suggest that this experience can be understood as particular “measurements” similar to what happens in quantum mechanics. For instance, the image of a person with certain identity features is a highlight or particularization of all the possibilities the identity of this person experienced, experiences and will experience through time. The “collapse” is thus linked to individuation, not less real, but incomplete of reality. By linking the domain of quantum physics in a deterministic fashion to the phenomenological or macrophysical realm, we aim to show that a non-contingent character of reality is possible when accepting measurements or particular instances of things as forms of comprehension given by the physical world (thus not just mere subjective interventions). We argue that the complete picture (closer to the wavefunction) cannot give distinctive information (understanding this as differentiation of elements, such as particles in the microphysical domain and a certain colour in the macrophysical one).
A stochastic moving ball approximation method for smooth convex constrained minimization
Authors: Singh Nitesh Kumar , Necoara Ion 
Published: October 2024

AbstractIn this paper, we consider constrained optimization problems with convex objective and smooth convex functional constraints. We propose a new stochastic gradient algorithm, called the Stochastic Moving Ball Approximation (SMBA) method, to solve this class of problems, where at each iteration we first take a (sub)gradient step for the objective function and then perform a projection step onto one ball approximation of a randomly chosen constraint. The computational simplicity of SMBA, which uses first-order information and considers only one constraint at a time, makes it suitable for large-scale problems with many functional constraints. We provide a convergence analysis for the SMBA algorithm using basic assumptions on the problem, that yields new convergence rates in both optimality and feasibility criteria evaluated at some average point. Our convergence proofs are novel since we need to deal properly with infeasible iterates and with quadratic upper approximations of constraints that may yield empty balls. We derive convergence rates of order $${\mathcal {O}} (k^{-1/2})$$

O
(

k

-
1
/
2

)

when the objective function is convex, and $${\mathcal {O}} (k^{-1})$$

O
(

k

-
1

)

when the objective function is strongly convex. Preliminary numerical experiments on quadratically constrained quadratic problems demonstrate the viability and performance of our method when compared to some existing state-of-the-art optimization methods and software.
Global optimization: a machine learning approach
Authors: Bertsimas Dimitris , Margaritis Georgios 
Published: October 2024

AbstractMany approaches for addressing global optimization problems typically rely on relaxations of nonlinear constraints over specific mathematical primitives. This is restricting in applications with constraints that are implicit or consist of more general primitives. Trying to address such limitations, Bertsimas and Ozturk (2023) proposed OCTHaGOn as a way of solving very general global optimization problems by approximating the nonlinear constraints using hyperplane-based decision-trees and then using those trees to construct a unified MIO approximation of the original problem. We provide extensions to this approach, by (i) approximating the original problem using other MIO-representable ML models besides decision trees, such as gradient boosted trees, multi layer perceptrons and suport vector machines (ii) proposing adaptive sampling procedures for more accurate ML-based constraint approximations, (iii) utilizing robust optimization to account for the uncertainty of the sample-dependent training of the ML models, (iv) leveraging a family of relaxations to address the infeasibilities of the final MIO approximation. We then test the enhanced framework in 81 global optimization instances. We show improvements in solution feasibility and optimality in the majority of instances. We also compare against BARON, showing improved optimality gaps and solution times in more than 9 instances.
Copper-Based Metal–Organic Framework: Synthesis, Characterization and Evaluation for the Hydrogenation of Furfural to Furfuryl Alcohol
Authors: Moyo Pamela S. , Mehlana Gift , Matsinha Leah C. , Makhubela Banothile C. E. 
Published: October 2024

AbstractA novel Cu-MOF was synthesized at room temperature from commercially available and inexpensive reagents. The pre-catalyst was characterized using X-ray photoelectron spectroscopy, high-resolution transmission electron microscopy, inductively coupled plasma-optical emission spectroscopy, Fourier transform-infrared spectroscopy, powder X-ray diffraction, Brunauer-Emmet-Teller (BET) and scanning electron microscopy-energy dispersive X-ray spectroscopy. The Cu-MOF was characterized as microporous material with BET surface area and pore volume of 7.47 m2/g and 0.27 cm3/g, respectively, and is stable in most solvents. The MOF was evaluated as a heterogeneous catalyst for the hydrogenation of furfural to furfuryl alcohol (FA). Cu-MOF exhibited a high conversion of FF (76%) with selectivity towards FA (100%) at 140 °C, 50 bar for 24 h. The MOF was reused four consecutive times with a loss in catalytic performance. The decrease in catalytic activity could be attributed to the formation of inactive Cu(0) as revealed by HR-TEM and XPS studies. The HR-TEM of spent Cu-MOF showed a uniform particle size diameter of 3.5 nm. This work is significant in providing new strategies for the design and fabrication of highly selective MOF catalysts for the FF upgrading.
Transfer function adaptation for effective feature selection with the side-blotched lizard algorithm
Authors: Eisa Mohamed , Abdel-lah Marwa , Farouk Fifi , Abdel-aal Amr 
Published: October 2024

AbstractFeature selection is a crucial preprocessing step in data mining and machine learning, enhancing model performance and computational efficiency. This paper investigates the effectiveness of the Side-Blotched Lizard Optimization Algorithm (SBLA) for feature selection by developing six novel variants: Sbla-s1, Sbla-s2, Sbla-s3, Sbla-v1, Sbla-v2, and Sbla-v3, each employing distinct S-shaped or V-shaped transfer functions to convert the continuous search space to a binary format. These variants were rigorously evaluated on nineteen benchmark datasets from the UCI repository, comparing their performance based on average classification accuracy, average number of selected features, and average fitness value. The results demonstrated the superiority of Sbla-s3, achieving an average classification accuracy of 92.8% across all datasets, a mean number of selected features of 20, and an average fitness value of 0.08. Furthermore, Sbla-s3 consistently outperformed six other state-of-the-art metaheuristic algorithms, achieving the highest average accuracy on sixteen out of nineteen datasets. These findings establish Sbla-s3 as a promising and effective approach for feature selection, capable of identifying relevant features while maintaining high classification accuracy, potentially leading to improved model performance in various machine learning applications.