bluuebunny/crossref_metadata_2025_split huggingface dataset:
Chimpanzees employ context-specific behavioral strategies within fission–fusion societies
Authors: Funkhouser Jake A. , Musgrave Stephanie , Morgan David , Kialiema Severin Ndassoba , Ngoteni Delon , Brogan Sean , McElmurray Philip , Sanz Crickette 
Published: October 2024

AbstractFission–fusion social systems allow individuals to make flexible choices about where, with whom, and in what contexts to spend their time in response to competing social and ecological pressures. The ability for fission–fusion societies to support individual behavioral strategies that vary across contexts has been suggested, but the potential function of such context-specific social choices remains largely understudied. We adopted the concept of social niche construction to explore possible differences in social complexity at the individual and group level across feeding contexts. Specifically, we examined patterns of co-attendance across two common ecological contexts in wild Central African chimpanzees (Pan troglodytes troglodytes) in the Goualougo Triangle, Republic of Congo. From data compiled over 6 years, we used multidimensional social network analysis to study the patterns of co-attendance generated from 436 group scans at Ficus and 4527 visits to termite mounds. These two contexts were chosen, because they are both fixed spatial features across the landscape that serve as well-defined points to compare association patterns. We identified context-specific social niche construction in a fission–fusion chimpanzee society that produce different patterns of relationships and social complexity that are consistent in their expression over many years, and offer functional benefits. While enhancing our understanding of chimpanzee behavioral strategies, culture, and conservation, our investigation also indicates that the social niche construction framework aids in elucidating the evolutionary advantages of fission–fusion sociality by accounting for intra- and interindividual variability, cognition, and choice in newfound ways.
Management and organizational research in Asia Pacific: insights from a 40th anniversary review of the Asia Pacific Journal of Management
Authors: Wang Siqi , Cheah Jun-Hwa , Lim Weng Marc , Chang Jennifer Yee-Shan 
Published: October 2024

AbstractGrasping the evolving landscape of management and organizations in Asia Pacific is vital for addressing the challenges and opportunities they both face in the region and beyond. To do so, we conduct a systematic literature review using a bibliometric analysis of the Asia Pacific Journal of Management (APJM), the leading journal for management and organizational research in Asia Pacific that is celebrating its 40th anniversary. A total of 915 articles published by APJM from 2001 to 2024 were retrieved from the Scopus database and subsequently subjected to a performance analysis of productivity (publications) and impact (citations) alongside a science mapping of knowledge (themes). This study reveals a steady increase in APJM publications and citations, underscoring the journal’s growing influence. The globalization of collaboration networks is a noteworthy trend, highlighting the interconnectedness of research efforts across borders. Major themes include cultural understanding and interpersonal networks, as well as the adaptability of organizations in emerging economies. Areas such as innovation, performance, and corporate governance highlight the importance of growth, competitiveness, and responsible management structures, while research on major Asian markets like China, India, and Thailand underscores the relevance of globalization and multinational strategies. The findings offer future directions in key areas such as emerging economies and institutional environments, relationship networks and social resilience, innovation and digital transformation, managing internationalization, and methodological innovation.
A “poly-matter network” conception of biological inheritance
Authors: Müller Günter A. , Müller Timo D. 
Published: October 2024

AbstractHere we intend to shift the “DNA- and information-centric” conception of biological inheritance, with the accompanying exclusion of any non-DNA matter, to a “poly-matter network” framework which, in addition to DNA, considers the action of other cellular membranous constituents. These cellular structures, in particular organelles and plasma membranes, express “landscapes” of specific topologies at their surfaces, which may become altered in response to certain environmental factors. These so-called “membranous environmental landscapes” (MELs), which replicate by self-organization / autopoiesis rather than self-assembly, are transferred from donor to acceptor cells by various – vesicular and non-vesicular – mechanisms and exert novel features in the acceptor cells. The “DNA-centric” conception may be certainly explanatorily sufficient for the transfer of heritable phenotype variation to acceptor cells following the copying of DNA in donor cells and thereby for the phenomenon of biological inheritance of traits. However, it is not causally sufficient. With the observation of phenotype variation, as initially manifested during bacterial transformation, the impact of environmental factors, such as nutrition and stress, in the differential regulation of gene expression has been widely accepted and resulted in intense efforts to resolve the underlying epigenetic mechanisms. However, these are explained under a conceptual frame where the DNA (and associated proteins) are the only matter of inheritance. In contrast, it is our argumentation that inheritance can only be adequately understood as the transfer of DNA in concert with non-DNA matter in a “poly-matter network” conception. The adequate inclusion of the transfer of non-DNA matter is still a desideratum of future genetic research, which may pave the way for the experimental elucidation not only of how DNA and membrane matter act in concert to enable the inheritance of innate traits, but also whether they interact for that of acquired biological traits. Moreover, the “poly-matter network” conception may open new perspectives for an understanding of the pathogenesis of “common complex” diseases.
Enhancing Machine Learning-Based Autoscaling for Cloud Resource Orchestration
Authors: Pintye István , Kovács József , Lovas Róbert 
Published: October 2024

AbstractPerformance and cost-effectiveness are sustained by efficient management of resources in cloud computing. Current autoscaling approaches, when trying to balance between the consumption of resources and QoS requirements, usually fall short and end up being inefficient and leading to service disruptions. The existing literature has primarily focuses on static metrics and/or proactive scaling approaches which do not align with dynamically changing tasks, jobs or service calls. The key concept of our approach is the use of statistical analysis to select the most relevant metrics for the specific application being scaled. We demonstrated that different applications require different metrics to accurately estimate the necessary resources, highlighting that what is critical for an application may not be for the other. The proper metrics selection for control mechanism which regulates the requried recources of application are described in this study. Introduced selection mechanism enables us to improve previously designed autoscaler by allowing them to react more quickly to sudden load changes, use fewer resources, and maintain more stable service QoS due to the more accurate machine learning models. We compared our method with previous approaches through a carefully designed series of experiments, and the results showed that this approach brings significant improvements, such as reducing QoS violations by up to 80% and reducing VM usage by 3% to 50%. Testing and measurements were conducted on the Hungarian Research Network (HUN-REN) Cloud, which supports the operation of over 300 scientific projects.
GLP-1 receptor agonists as promising anti-inflammatory agents in heart failure with preserved ejection fraction
Authors: Bonfioli Giovanni Battista , Rodella Luca , Metra Marco , Vizzardi Enrico 
Published: October 2024

AbstractHeart Failure with Preserved Ejection Fraction (HFpEF) represents a significant challenge in modern cardiovascular medicine, characterized by diastolic dysfunction and a chronic pro-inflammatory milieu. The high prevalence of comorbidities such as diabetes, visceral obesity, and aging, which contribute to systemic inflammation, plays a pivotal role in the pathogenesis and progression of HFpEF. Glucagon-Like Peptide-1 Receptor Agonists (GLP-1 RAs), a class of glucose-lowering drugs, have demonstrated a wide range of pleiotropic effects that extend beyond glycaemic control. These effects include the reduction of inflammation and oxidative stress, vasodilation, decreased arterial stiffness, and a reduction in myocardial fibrosis—key factors in the pathophysiology of HFpEF. Recent evidence from the STEP-HFpEF and STEP-HFpEF-DM trials provides the first robust data supporting the efficacy of GLP-1 RAs, specifically semaglutide, in improving the quality of life in obese patients with HFpEF. These trials also demonstrated a significant reduction in C-Reactive Protein (CRP) levels, reinforcing the hypothesis that suppressing the pro-inflammatory state may yield substantial clinical benefits in this patient population. These findings suggest that GLP-1 RAs could play a crucial role in the management of HFpEF, particularly in patients with obesity, by targeting the underlying inflammatory processes and contributing to better overall cardiovascular outcomes.
Exosomes Derived from Bone Marrow Dendritic Cells Exhibit Protective and Therapeutic Potential Against Chemically Induced Chronic Pancreatitis in Rats
Authors: Bashir Shaimaa M. , Rizk Sherine M. , Nooh Mohammed M. , Helmy Hebatullah S. 
Published: October 2024

Abstract

Background
Chronic pancreatitis (CP) is a specific clinical disorder that develops from pancreatic fibrosis and immune cell dysregulation. It has been proposed that bone marrow dendritic cells (BMDCs) exosomes have significant effects on immune regulation. Thus, the current study acquainted the prophylactic and therapeutic effects of exosomes derived from BMDCs on a rat model of CP.

Materials and methods
BMDCs were prepared and identified, and then the exosomes were isolated by differential ultracentrifugation. Prophylactic and therapeutic effects of exosomes were investigated on L-arginine induced CP model.

Results
Administration of two tail vein injections of exosomes (200 μg/kg/dose suspended in 0.2 ml PBS) markedly improved the pancreatic function and histology compared to CP group. Moreover, exosomes prominently mitigated the increase in amylase, lipase, tumor necrosis factor-α (TNF-α), transforming growth factor-β (TGF-β) and elevated antioxidant enzymes; catalase, superoxide dismutase (SOD) and glutathione peroxidase (GPx).

Conclusion
BMDCs exosomes can be considered as a promising candidate, with a high efficacy and stability compared with its parent cell, for management of CP and similar inflammatory diseases.
Blockchain: Exploring its Impact on the Business Models of Australian Accounting Firms
Authors: Dyball Maria Cadiz , Seethamraju Ravi 
Published: October 2024

AbstractThis paper reports on a study that investigated how the business models of Australian accounting firms are impacted by audit clients using blockchain technology. Semi-structured interviews with a range of stakeholders including audit partners from big-4 accounting firms reveal that firms are gradually adapting their business models by offering value propositions that involve efficiency, complementarities and novelty, despite a formative blockchain ecosystem in Australia. This ecosystem is characterized by clients’ reluctance to use blockchain platforms for financial systems and a lack of clear direction on applicable accounting standards and consensus on blockchain standards and governance.
Outcomes from a Driving and Community Mobility Intervention Designed for Novice Drivers with Autism from the Perspective of the Participants and Their Parents
Authors: Dickerson Anne E. , Murphy Lynne , McIntyre Mary 
Published: October 2024

AbstractTo examine change in driving and community mobility outcomes for teens and young adults with autism as a result of participating in an occupational therapy intervention designed as a Bootcamp as perceived by the participants and their parents. Matched questionnaires were completed by novice drivers with autism as well as their parents prior to and immediately after the intervention. The intervention consisted of a 5-day (32 h) intervention using interactive driving simulators, role playing, and highly interactive learning experiences. Sixty-seven participants and their parents completed the pre and post surveys. Of these, 52 (80%) were male and 13 (20%) were female, with a mean age of 17.8 ± 3.03 years. Wilcoxon signed rank tests was used for the Likert scale questions and paired t test for ratio level data. Results demonstrated participants perceived significant improvement in knowledge, skills and abilities related to both driving and community mobility. There were also significant differences in perception from the parents’ perspective, but not as evident as the participants. Only a few significant changes were perceived in terms of executive functioning, which support accuracy of the results. Findings also showed significantly improvement in anxiety and confidence.As driving and community mobility is critical for young adults with autism to be successful in adult roles, intervention for improving knowledge, skills, and abilities in this complex daily task is essential. This study demonstrates statistically significant outcomes of a driving and community mobility occupational therapy intervention from the perspective of the participants and their parents.
Armouring of a Frictional Interface by Mechanical Noise
Authors: El Sergany Elisa , Wyart Matthieu , de Geus Tom W. J. 
Published: October 2024

AbstractA dry frictional interface loaded in shear often displays stick–slip. The amplitude of this cycle depends on the probability that a microscopic event nucleates a rupture and on the rate at which microscopic events are triggered. The latter is determined by the distribution of soft spots, P(x), which is the density of microscopic regions that yield if the shear load is increased by some amount x. In minimal models of a frictional interface—that include disorder, inertia and long-range elasticity—we discovered an ‘armouring’ mechanism by which the interface is greatly stabilised after a large slip event: P(x) then vanishes at small argument as $$P(x)\sim x^\theta $$

P

(
x
)

∼

x
θ

(de Geus et al., Proc Natl Acad Sci USA 116(48):23977-23983, 2019. https://doi.org/10.1073/pnas.1906551116). The exponent $$\theta $$
θ
is non-zero only in the presence of inertia (otherwise $$\theta =0$$

θ
=
0

). It was found to depend on the statistics of the disorder in the model, a phenomenon that was not explained. Here, we show that a single-particle toy model with inertia and disorder captures the existence of a non-trivial exponent $$\theta >0$$

θ
>
0

, which we can analytically relate to the statistics of the disorder.
New Generalized Derivatives for Solving Variational Inequalities Using the Nonsmooth Newton Methods
Authors: Song Yingkai , Barton Paul I. 
Published: October 2024

AbstractVariational inequality (VI) generalizes many mathematical programming problems and has a wide variety of applications. One class of VI solution methods is to reformulate a VI into a normal map nonsmooth equation system, which is then solved using nonsmooth equation-solving techniques. In this article, we propose a first practical approach for furnishing B-subdifferential elements of the normal map, which in turn enables solving the normal map equation system using variants of the B-subdifferential-based nonsmooth Newton method. It is shown that our new method requires less stringent conditions to achieve local convergence than some other established methods, and thus guarantees convergence in certain cases where other methods may fail. We compute a B-subdifferential element using the LD-derivative, which is a recently established generalized derivative concept. In our new approach, an LD-derivative is computed by solving a sequence of strictly convex quadratic programs, which can be terminated early under certain conditions. Numerical examples are provided to illustrate the convergence properties of our new method, based on a proof-of-concept implementation in Python.
Pathwise Stochastic Control and a Class of Stochastic Partial Differential Equations
Authors: Bhauryal Neeraj , Cruzeiro Ana Bela , Oliveira Carlos 
Published: October 2024

AbstractIn this article, we study a stochastic optimal control problem in the pathwise sense, as initially proposed by Lions and Souganidis in [C. R. Acad. Sci. Paris Ser. I Math., 327 (1998), pp. 735-741]. The corresponding Hamilton-Jacobi-Bellman (HJB) equation, which turns out to be a non-adapted stochastic partial differential equation, is analyzed. Making use of the viscosity solution framework, we show that the value function of the optimal control problem is the unique solution of the HJB equation. When the optimal drift is defined, we provide its characterization. Finally, we describe the associated conserved quantities, namely the space-time transformations leaving our pathwise action invariant.
One-year trajectories of physical and mental health-related quality of life, fatigue and dyspnoea in COVID-19 survivors
Authors: Schaap Gerko , Davelaar John F. , ten Klooster Peter M. , Doggen Carine J. M. , van der Palen Job , Bode Christina , Vonkeman Harald E. 
Published: October 2024

Abstract

Purpose
A substantial number of people experience a persisting impact on health-related quality of life (HRQoL) after COVID-19. The current study aims to identify different trajectories of physical and mental HRQoL, fatigue severity, and dyspnoea severity following hospitalisation with COVID-19, and associated factors of these trajectories.

Methods
500 patients with COVID-19 were followed for one year in a longitudinal cohort study. Self-reported outcomes were measured at 3, 6, 9, and 12 months after hospitalisation. Distinct trajectories were characterised using Growth Mixture Modelling. Sociodemographic and clinical correlates of trajectories were investigated using multivariable (multinomial) logistic regression analyses.

Results
Three trajectories (‘stable high’ (16%), ‘improving’ (40%), and ‘stable low’ (44%)) were found for physical HRQoL, and four (‘stable high’ (43%), ‘improving’ (14%), ‘middle declining’ (17%), and ‘low’ (26%)) for mental HRQoL. Older age, overweight and obesity, lower education, and comorbidities were associated with ‘low’ physical HRQoL. Younger age was associated with ‘low’ mental HRQoL. Four fatigue trajectories (‘no fatigue’ (15%), ‘improving’ (40%), ‘low-severe’ (27%), and ‘high-severe’ (18%)) were found. Participants either experienced almost never (‘no dyspnoea’, 75%) or almost always (‘severe’, 25%) dyspnoea. High co-occurrences between low HRQoL and severe fatigue and dyspnoea symptom trajectories were found.

Conclusion
A substantial number of COVID-19 survivors continue to struggle with reduced HRQoL over time. However, large variations in these physical and mental HRQoL trajectories exist, and trajectories are associated with persisting COVID-19-related symptoms or pre-hospitalised health status. Regular measurement of HRQoL and post-COVID symptoms may help identify those that may benefit from timely interventions.
Determinants of quality of life decrease in family caregivers of care-dependent patients: a longitudinal study
Authors: de Oliveira Tavares Marcus Luciano , Pimenta Adriano Marçal , García-Vivar Cristina , Beinner Mark Anthony , Montenegro Lívia Cozer 
Published: October 2024

Abstract

Purpose
Family caregivers of care-dependent patients experience a decline in their Quality of Life (QoL). However, the determinants contributing to this decrease in QoL are still not fully understood. Therefore, this study aimed to estimate prospectively the determinants contributing to decreased QoL among family caregivers of care-dependent patients.

Methods
This longitudinal study involved 135 family caregivers in Brazil. Data were collected at baseline from October 2016 to August 2017, and at follow-up from December 2021 to July 2022. During both periods, we administered a questionnaire that covered sociodemographic, health, and lifestyle characteristics of the participants; the Barthel Index to assess the dependency level of the patients; and the WHOQOL-bref to assess the caregivers’ QoL.

Results
Both caregivers and care-dependent patients were more frequently elderly (44.4% versus 74.6%), female (79.3% versus 61.5%), and had non-communicable disease (60.0% versus 94.3%) at baseline. Most patients experienced a worsening in their level of dependency (59.8%), while over a third of family caregivers (34.8%) reported a decline in their General Quality of Life Index. Eight determinants of decreased QoL were identified: four protective factors (religious faith, physical activity, sharing caregiving responsibilities, and sufficient sleep) and four risk factors (patient hospitalization in the past year, patient increased care dependency, older family caregiver age, and longer caregiving duration).

Conclusion
Many factors influencing caregiver QoL are modifiable through intervention, underscoring the need for public policies to support family caregivers. Healthcare professionals can play a vital role in promoting protective factors and addressing risk factors to enhance caregiver QoL.
Electrochemical and bioelectrochemical sulphide removal: A review
Authors: Karlsen Vibeke B. , Dinamarca Carlos 
Published: October 2024

AbstractThe increased demand for energy worldwide and the focus on the green shift have raised interest in renewable energy sources such as biogas. During biogas production, sulphide (H2S, HS− and S2−) is generated as a byproduct. Due to its corrosive, toxic, odorous, and inhibitory nature, sulphide is problematic in various industrial processes. Therefore, several techniques have been developed to remove sulphide from liquid and gaseous streams, including chemical absorption, chemical dosing, bioscrubbers, and biological oxidation. This review aims to elucidate electrochemical and bioelectrochemical sulphide removal methods, which are gaining increasing interest as possible supplements to existing technologies. In these systems, the sulphide oxidation rate is affected by the reactor design and operational parameters, including electrode materials, anodic potential, pH, temperature and conductivity. Anodic and bioanodic materials are highlighted here, focusing on recent material developments and surface modification techniques. Moreover, the review focuses on sulphide generation and inhibition in biogas production processes and introduces the prospect of removing sulphide and producing methane in one single bioelectrochemical reactor. This could introduce BESs for combined biogas upgrading and cleaning, thereby increasing the methane content and removing pollutants such as sulphide and ammonia in one unit.