bluuebunny/crossref_metadata_2025_split huggingface dataset:
Parameterized Verification of Round-Based Distributed Algorithms via Extended Threshold Automata
Authors: Baumeister Tom , Eichler Paul , Jacobs Swen , Sakr Mouhammad , Völp Marcus 
Published: September 2024

AbstractThreshold automata are a computational model that has proven to be versatile in modeling threshold-based distributed algorithms and enabling their completely automatic parameterized verification. We present novel techniques for the verification of threshold automata, based on well-structured transition systems, that allow us to extend the expressiveness of both the computational model and the specifications that can be verified. In particular, we extend the model to allow decrements and resets of shared variables, possibly on cycles, and the specifications to general coverability. While these extensions of the model in general lead to undecidability, our algorithms provide a semi-decision procedure. We demonstrate the benefit of our extensions by showing that we can model complex round-based algorithms such as the phase king consensus algorithm and the Red Belly Blockchain protocol (published in 2019), and verify them fully automatically for the first time.
Nonlinear Craig Interpolant Generation Over Unbounded Domains by Separating Semialgebraic Sets
Authors: Wu Hao , Wang Jie , Xia Bican , Li Xiakun , Zhan Naijun , Gan Ting 
Published: September 2024

AbstractInterpolation-based techniques become popular in recent years, as they can improve the scalability of existing verification techniques due to their inherent modularity and local reasoning capabilities. Synthesizing Craig interpolants is the cornerstone of these techniques. In this paper, we investigate nonlinear Craig interpolant synthesis for two polynomial formulas of the general form, essentially corresponding to the underlying mathematical problem to separate two disjoint semialgebraic sets. By combining the homogenization approach with existing techniques, we prove the existence of a novel class of non-polynomial interpolants called semialgebraic interpolants. These semialgebraic interpolants subsume polynomial interpolants as a special case. To the best of our knowledge, this is the first existence result of this kind. Furthermore, we provide complete sum-of-squares characterizations for both polynomial and semialgebraic interpolants, which can be efficiently solved as semidefinite programs. Examples are provided to demonstrate the effectiveness and efficiency of our approach.
The crucial role of beta-catenin in the osteoprotective effect of semaglutide in an ovariectomized rat model of osteoporosis
Authors: Abo-Elenin Mohannad Hakam Hamed , Kamel Rehab , Nofal Shahira , Ahmed Amany Ali Eissa 
Published: September 2024

AbstractPostmenopausal osteoporosis is a common chronic medical illness resulting from an imbalance between bone resorption and bone formation along with microarchitecture degeneration attributed to estrogen deficiency and often accompanied by other medical conditions such as weight gain, depression, and insomnia. Semaglutide (SEM) is a recently introduced GLP-1 receptor agonist (GLP-1RA) for the treatment of obesity and type 2 diabetes mellitus by mitigating insulin resistance. It has been discovered that the beneficial effects of GLP-1 are associated with alterations in lipolysis, adipogenesis, and anti-inflammatory processes. GLP-1 analogs transmit signals directly to adipose tissue. Mesenchymal stem cells (MSCs) are multidisciplinary cells that originate from bone marrow, migrate to injury sites, and promote bone regeneration. MSCs can differentiate into osteoblasts, adipose cells, and cartilage cells. Our aim is to investigate the role of semaglutide on bone formation and the Wnt signaling pathway. Osteoporosis was induced in female rats by ovariectomy, and the ovariectomized rats were treated with alendronate as standard treatment with a dose of 3 mg/kg orally and semaglutide with two doses (150 mcg/kg and 300 mcg/kg) S.C. for 10 successive weeks. Semaglutide ameliorates bone detrimental changes induced by ovariectomy. It improves bone microarchitecture and preserves bone mineral content. Semaglutide ameliorates ovariectomy-induced osteoporosis and increases the expression of β-catenin, leading to increased bone formation and halted receptor activator of nuclear factor kappa-Β ligand (RANKL’s) activation. Semaglutide can be used as a potential prophylactic and therapeutic drug against osteoporosis, possibly by activating Wnt signaling and decreasing bone resorption.
Graphical Abstract
Identification of novel protein biomarkers and therapeutic targets for ankylosing spondylitis using human circulating plasma proteomics and genome analysis
Authors: Zhou Zhongxian , Liu Chong , Feng Sitan , Chen Jiarui , Chen Tianyou , Zhu Jichong , Wu Shaofeng , Zhou Chenxing , Huang Chengqian , Xue Jiang , Qin Xiaopeng , Zhan Xinli 
Published: September 2024

AbstractThe proteome serves as the primary basis for identifying targets for treatment. This study conducted proteomic range two-sample Mendelian randomization (MR) analysis to pinpoint potential protein markers and treatment targets for ankylosing spondylitis (AS). A total of 4907 data points on circulating protein expression were collected from a large-scale protein quantitative trait locus investigation involving 35,559 individuals. Using data from a Finnish study on AS as the outcome, the dataset comprised 166,144 individuals of European ancestry (1462 cases and 164,682 controls), and causal relationships were determined through bidirectional Mendelian randomization of two samples. Proteins were further validated and identified through single-cell expression analysis, certain cells showing enriched expression levels were detected, and possible treatment targets were optimized. Increased HERC5 expression predicted by genes was related to increased AS risk, whereas the expression of the remaining five circulating proteins, AIF1, CREB3L4, MLN, MRPL55, and SPAG11B, was negatively correlated with AS risk. For each increase in gene-predicted protein levels, the ORs of AS were 2.11 (95% CI 1.44–3.09) for HERC5, 0.14 (95% CI 0.05–0.41) for AIF1, 0.48 (95% CI 0.34–0.68) for CREB3L4, 0.54 (95% CI 0.42–0.68) for MLN, 0.23 (95% CI 0.13–0.38) for MRPL55, and 0.26 (95% CI 0.17–0.39) for SPAG11B. The hypothesis of a reverse causal relationship between these six circulating proteins and AS is not supported. Three of the six protein-coding genes were expressed in both the AS and healthy control groups, while CREB3L4, MLN, and SPAG11B were not detected. Increased levels of HERC5 predicted by genes are related to increased AS risk, whereas the levels of the remaining five circulating proteins, AIF1, CREB3L4, MLN, MRPL55, and SPAG11B, negatively correlate with AS risk. HERC5, AIF1, and MRPL55 are potential therapeutic targets for AS. This study advanced the field by employing a novel combination of proteomic range two-sample MR analysis and single-cell expression analysis to identify potential protein markers and therapeutic targets for AS. This approach enabled a comprehensive understanding of the causal relationships between circulating proteins and AS, which has not been extensively explored in previous studies.
Graphical Abstract
Physical aspects of epithelial cell–cell interactions: hidden system complexities
Authors: Pajic-Lijakovic Ivana , Milivojevic Milan , McClintock Peter V. E. 
Published: September 2024

AbstractThe maintenance of homeostasis and the retention of ordered epithelial cell self-organization are essential for morphogenesis, wound healing, and the spread of cancer across the epithelium. However, cell–cell interactions in an overcrowded environment introduce a diversity of complications. Such interactions arise from an interplay between the cell compressive and shear stress components that accompany increased cell packing density. They can lead to various kinds of cell rearrangement such as: the epithelial-to-mesenchymal cell state transition; live cell extrusion; and cell jamming. All of these scenarios of cell rearrangement under mechanical stress relate to changes in the strengths of the cell–cell and cell–matrix adhesion contacts. The objective of this review study is twofold: first, to provide a comprehensive summary of the biological and physical factors influencing the effects of cell mechanical stress on cell–cell interactions, and the consequences of these interactions for the status of cell–cell and cell–matrix adhesion contacts; and secondly, to offer a bio-physical/mathematical analysis of the aforementioned biological aspects. By presenting these two approaches in conjunction, we seek to highlight the intricate nature of biological systems, which manifests in the form of complex bio-physical/mathematical equations. Furthermore, the juxtaposition of these apparently disparate approaches underscores the importance of conducting experiments to determine the multitude of parameters that contribute to the development of these intricate bio-physical/mathematical models.
Minimizing delays of patient transports with incomplete information: A modeling approach based on the vehicle routing problem
Authors: Adelhütte Dennis , Braun Kristin , Liers Frauke , Tschuppik Sebastian 
Published: September 2024

AbstractWe investigate a challenging task in ambulatory care, the minimizing of delays of patient transports. In practice, a limited number of vehicles is available for non-rescue transports. Furthermore, the dispatcher rarely has access to complete information when establishing a transport plan for dispatching the vehicles. If additional transport is requested on demand then schedules need to be updated, which can lead to long delays. We model the scheduling of patient transports as a vehicle routing problem with general time windows and solve it as a mixed-integer linear problem that is modified whenever additional transport information becomes available. We propose a modeling approach that is designed to determine fair and stable plans. Furthermore, we show that the model can easily be modified when transports need to satisfy additional requirements, e.g., during pandemics, exemplarily the Covid-19 pandemic. To show the applicability and efficiency of our modeling approach, we conduct a numerical study using historical data from the region of Middle Franconia. The results reveal and show that, by applying mathematical optimization—or, to be more precise by solving mixed-integer linear problem formulations—one can significantly decrease delays and have considerable potential for optimized patient transports.
Digitale Gesundheitsanwendungen – was sollten wir als Rheumatolog:innen wissen
Authors: Knitza Johannes , Krusche Martin , Chehab Gamal , Specker Christof , Richter Jutta G. 
Published: September 2024

ZusammenfassungDigitale Gesundheitsanwendungen (DiGA) revolutionieren die Patientenversorgung durch verbesserten Zugang zu evidenzbasierter Therapie und fördern aktives Selbstmanagement. Die kontinuierlich wachsende Anzahl an DiGA ermöglicht es Patient:innen, durch digitale Unterstützung eigenständiger zu handeln. Die budgetneutrale Verordnung und Kostenübernahme durch gesetzliche Krankenkassen senken finanzielle Barrieren für Behandler:innen und Patient:innen. Erste Studien belegen, dass DiGA erfolgreich zur Behandlung von Komorbiditäten und rheumatischen Erkrankungen eingesetzt werden können. Mehrere DiGA für entzündlich-rheumatische Erkrankungen befinden sich in fortgeschrittener Entwicklung. Die Identifikation geeigneter Patient:innen und die Unterstützung durch Shared Decision Making (SDM) sind entscheidend für die erfolgreiche Implementierung. Herausforderungen bestehen weiterhin in der Adhärenz und Akzeptanz der Anwendungen. Dieser Artikel bietet einen Überblick über die Verordnung in der Praxis, erste Daten und Erfahrungen aus der rheumatologischen Versorgungsrealität und berichtet über aktuelle Entwicklungen.
Extraction and Purification of Biopolymers from Marine Origin Sources Envisaging Their Use for Biotechnological Applications
Authors: Carvalho Duarte Nuno , Gonçalves Cristiana , Sousa Rita O. , Reis Rui L. , Oliveira J. Miguel , Silva Tiago H. 
Published: September 2024

AbstractBiopolymers are a versatile and diverse class of materials that has won high interest due to their potential application in several sectors of the economy, such as cosmetics, medical materials/devices, and food additives. In the last years, the search for these compounds has explored a wider range of marine organisms that have proven to be a great alternative to mammal sources for these applications and benefit from their biological properties, such as low antigenicity, biocompatibility, and biodegradability, among others. Furthermore, to ensure the sustainable exploitation of natural marine resources and address the challenges of 3R’s policies, there is a current necessity to valorize the residues and by-products obtained from food processing to benefit both economic and environmental interests. Many extraction methodologies have received significant attention for the obtention of diverse polysaccharides, proteins, and glycosaminoglycans to accomplish the increasing demands for these products. The present review gives emphasis to the ones that can be obtained from marine biological resources, as agar/agarose, alginate and sulfated polysaccharides from seaweeds, chitin/chitosan from crustaceans from crustaceans, collagen, and some glycosaminoglycans such as chondroitin sulfate and hyaluronic acids from fish. It is offered, in a summarized and easy-to-interpret arrangement, the most well-established extraction and purification methodologies used for obtaining the referred marine biopolymers, their chemical structure, as well as the characterization tools that are required to validate the extracted material and respective features. As supplementary material, a practical guide with the step-by-step isolation protocol, together with the various materials, reagents, and equipment, needed for each extraction is also delivered is also delivered. Finally, some remarks are made on the needs still observed, despite all the past efforts, to improve the current extraction and purification procedures to achieve more efficient and green methodologies with higher yields, less time-consuming, and decreased batch-to-batch variability.
Graphical Abstract
Chip-scale atomic clock (CSAC) aided GNSS in urban canyons
Authors: Meng Yang , Weng Duojie , Yang Cheng , Chen Wu , Hou Zhiyu 
Published: September 2024

AbstractIn urban canyons, the reflections and obstructions of Global Navigation Satellite System (GNSS) signals frequently lead to significant errors in measurements, the number of which can be larger than that of the correct measurements. This leads to a severe degradation of GNSS performance in urban canyons. Various fault detection and exclusion (FDE) algorithms have been developed to cope with these outliers caused by multipath effects. Most of these FDE algorithms check the consistency among measurements. However, in urban canyons, their effectiveness is significantly compromised by the lack of fault-free measurements. There is an urgent need to develop new constraints for enhancing GNSS FDE performance. In recent years, the advent of Chip-Scale Atomic Clock (CSAC), known for their affordability and high frequency stability, offers a promising solution for accurately predicting receiver clock errors. Additionally, using city maps to establish height constraints is another way to increase redundancy. The purpose of this study is to improve the GNSS positioning accuracy in urban canyons with the aid of CSAC and city map data. A novel FDE algorithm is developed to search for positions through the constraints of height and receiver clock. Extensive tests were conducted in urban canyons to evaluate the performance of the system. Results showed that the positioning accuracy can be improved from tens of meters to less than 6 m.
The value of perfect information for the problem: a sensitivity analysis
Authors: Boncompte Pons Mercedes , Guerrero Manzano María del Mar 
Published: September 2024

AbstractThis paper examines problems in decision theory where the number of alternatives and states of nature are finite. Previous studies have defined the concept of “the value of perfect information for the problem” (VPIP). This metric allows us to obtain an upper bound on the amount a decision-maker would be willing to pay for perfect information under the specific conditions of a problem. This bound is particularly important when the decision is unrepeatable, providing a more accurately adjusted measure than the one traditionally obtained with “the expected value of perfect information” (EVPI). Supported by linear programming, this work proposes a sensitivity analysis of these bounds by seeking to identify the intervals in which the problem values can vary without essentially modifying the structure of the problem. Specifically, the study aims to determine how this variation might affect the EVPI and VPIP bounds, as well as the difference in the price a decision-maker would be willing to pay for perfect information if any of the problem values were altered. By identifying alternatives and scenarios taking into account the role they play in the problem, this research classifies the data involved in a finite decision problem to ensure the conclusions can be understood as generally as possible. Although the proposed sensitivity analysis is applied to the oil-drilling problem, a classic in decision theory, the conclusions of this work have potential applications in improving environmental decision-making processes.
Does Knee Arthroplasty Have a Beneficial Effect on Return to Work in Patients with Knee Osteoarthritis who Receive Long-Term Disability Benefits in the Netherlands?
Authors: Cheng Titi J. , Nieuwenhuijsen Karen , Kuijer P. Paul F. M. 
Published: September 2024

Abstract
Purpose
Optimal timing of knee arthroplasty (KA) is complex: operating at a younger age increases life time risk of revision, while delay results in an increased risk of job loss. This study evaluates whether disability benefits recipients due to knee osteoarthritis have an increased odds of returning to work (RTW) following KA.

Methods
A retrospective cohort study was performed among long-term disability benefits recipients due to knee osteoarthritis using data of the Dutch Employee Insurance Agency. Logistic regression assessed whether recipients with KA had a higher odds of RTW in 10 years following start of disability benefits, compared to those without KA.

Results
A total of 159 participants were included. During 10-year follow up, 42% had received KA and 37% had returned to work. No association was observed between KA and RTW (OR 1.39, 95% CI 0.62–3.12). Prognostic factors for RTW were being the main breadwinner (OR 7.93, 95% CI 2.95–21.32) and classification as 100% work disability (OR 0.20, 95% CI 0.09–0.45).

Conclusions
KA has no beneficial effect on RTW among patients with knee osteoarthritis granted long-term disability in the Netherlands. For RTW, KA is probably best performed within the two years of paid sick leave before long-term disability is assessed in the Netherlands.
A numerical algorithm for the computation of the noncentral beta distribution function
Authors: Egorova Vera , Gil Amparo , Segura Javier , Temme Nico M. 
Published: September 2024

AbstractThe noncentral beta distribution function is a generalization of the central beta distribution (the regularized incomplete beta function) that includes a noncentrality parameter. This paper describes an algorithm and provides a Matlab implementation for calculating the noncentral beta distribution function. Through a series of numerical tests, we demonstrate that the algorithm is accurate and efficient across a wide range of parameters.
Virtual Assessment of Physical Activity–Related Built Environment in Soweto, South Africa: What Is the Role of Contextual Familiarity?
Authors: Godongwana Motlatso , Gama Khulu , Maluleke Vongani , Micklesfield Lisa K. , Odekunle Damilola , Wasnyo Yves Florent , Elouna Boris , Ngwa Edwin , Lopes Adalberto , Balarabe Muhammad Rabiu , Coringrato Eva , McGushin Alice , Oni Tolu , Foley Louise , Canelas Tiago 
Published: September 2024

AbstractUnderstanding how urban environments shape physical activity is critical in rapidly urbanizing countries such as South Africa. We assessed the reliability of virtual audits for characterizing urban features related to physical activity in Soweto, South Africa. We used the Microscale Audit of Pedestrian Streetscapes Global tool to characterize pedestrian-related features from Google Street View images in four neighborhoods of Soweto. Neighborhoods were selected to represent different levels of deprivation. Inter-rater reliability was analyzed according to the rater’s familiarity with the local area. The results show a higher inter-rater reliability was observed among auditors with greater contextual familiarity. Many measurements however generated inconclusive results due to either low variability in the raters’ responses or the absence of the features in the streets. It is evident from our findings that virtual audits are efficient tools that can be used to assess the built environment. However, to ensure meaningful use of these tools in diverse settings, we recommend that auditors comprise of people with contextual familiarity.
Pathways to survive in abrupt adversities: a configurational approach to understanding the resilience of new venture teams
Authors: Liu Jian , Harms Rainer 
Published: September 2024

AbstractNew venture teams (NVTs) face challenges caused by adversity, making team resilience crucial for venture survival. While team resilience factors have been identified, we do not yet understand how they combine. We examine their combinations from a configurational approach. Based on a fsQCA analysis of team resilience factors in thirty-eight NVTs and five follow-up in-depth case interviews, we explore how team resilience factors combine to form particular team resilience pathways for survival in adversity. Our analysis reveals three pathways: relaxed team improvisers, validated team visionaries, and relational team connectors. The theoretical implications include enhancing the framework regarding the resilience of NVTs and introducing a new causal mechanism based on the causal complexity of team resilience factors.