bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hyperfuzzing: black-box security hypertesting with a grey-box fuzzer
Authors: Blackwell Daniel , Becker Ingolf , Clark David 
Published: November 2024

AbstractDespite being a severe error where programs inadvertently reveal confidential information, insecure flows rarely receive explicit attention during software testing. LeakFuzzer uses an input-output non-interference property, specialised via a security flow policy for the program under test, to advance the state of the art. It detects insecure flows by using hypertesting for violations of the program’s non-interference property. LeakFuzzer extends the capabilities of the state of the art fuzzer, AFL++, and thus inherits its advantages such as scalability, automated input generation, high coverage and low developer intervention. It can thus detect the same set of errors as AFL++, as well as being able to detect violations of secure information flow policies at small additional performance costs. This offers a significant advance in scalability and automation for the state of the art. We evaluated LeakFuzzer on a diverse set of 12 C and C++ benchmarks containing known bugs that cause confidential information to be disclosed, ranging in size from just 80 to over 900k lines of code. Nine of these are taken from real-world CVEs including Heartbleed and a recent error in PostgreSQL. Given 20 24-hour runs, LeakFuzzer can find 100% of the insecure flows in the SUTs whereas existing techniques using the CBMC model checker and AFL++ augmented with different sanitizers can only find 40% at best.
Sodium-glucose co-transporter 2 inhibitors in left ventricular assist device and heart transplant recipients: a mini-review
Authors: Alyaydin Emyal , Parianos Danaë , Hermes-Laufer Julia , Nägele Matthias P. , Castro Liesa , Papathanasiou Maria , Reinecke Holger , Flammer Andreas J. 
Published: November 2024

Abstract
In recent years, sodium-glucose co-transporter 2 inhibitors (SGLT2i) emerged as promising therapeutic agents in managing heart failure (HF). They demonstrated a significant impact on reducing HF hospitalizations and related mortality in patients with reduced and preserved ejection fraction. However, evidence supporting their use in patients with left ventricular assist device (LVAD) and heart transplant (HT) recipients is still limited. We identified six key studies investigating the safety and efficacy of SGLT2i in LVAD and HT recipients. In patients with LVAD, prescription of SGLT2i was predominantly associated with improved fluid management and reduced pulmonary artery pressures. However, the results regarding their effects on body weight, hemoglobin A1c, diuretic use, and right ventricular function were contradictory. In terms of safety, SGLT2i were generally well-tolerated in the LVAD population, and the reported incidence of adverse events was low. In HT recipients, SGLT2i were associated with better glycemic control and weight reduction. No relevant adverse events were reported. Despite these encouraging results, the long-term safety and efficacy of SGLT2i in these vulnerable patient populations are yet to be investigated. Future randomized controlled trials are needed to address existing gaps in evidence and help integrate SGLT2i into clinical practice for LVAD and HT recipients.

Graphical abstract
Problem Posing as a Way of Promoting Individual Mathematical Thinking in STEM Contexts – The Case of Climate Change
Authors: Siller Hans-Stefan , Vorhölter Katrin , Just Janina 
Published: November 2024

AbstractProblems encountered in Science, Technology, Engineering and Mathematics (STEM) contexts cannot be adequately described or solved with the knowledge of a single discipline. Instead, a high level of inter- and transdisciplinary knowledge and methods is required to overcome them. These help to pose problems about the complex challenges and solve them in a creative way. The better the knowledge within one and of different disciplines is interlinked, the more targeted questions can be formulated and answered. Mathematical concepts serve as the foundation for many of the pressing problems of our time. At the same time, these problems offer a wide range of opportunities for individualized exploration. They are equally suitable for students with different interests and levels of ability, as everyone can identify and work on an individual problem within the given context. However, numerous studies have shown that posing adequate mathematical problems must be learnt as well as knowledge from different disciplines is not automatically linked or transferred to other situations. The ability to grasp the formal structure of a problem, recognize problems, and find connecting problems are characteristics of mathematically gifted children and young people that need to be promoted. In our theory-based contribution, we use a concrete context to illustrate which possible mathematically rich problems can be posed by students of different ages and abilities. This approach facilitates the development of their individual abilities according to their interests and potential.
A Holistic Network Analysis of the Money Laundering Threat Landscape: Assessing Criminal Typologies, Resilience and Implications for Disruption
Authors: Akartuna Eray Arda , Johnson Shane D. , Thornton Amy 
Published: November 2024

Abstract
Objective
This article visualises money laundering, a crime spanning hundreds of different actors, methods and value instruments, as a network. Possible combinations of money laundering actions and schemes are analysed through a holistic visualisation to draw policy-relevant insights into their prevention.

Methods
A prior scoping review of money laundering typologies identified 793 activities that a money launderer can take to obfuscate illicit funds. These actions form the basis of a directed network graph showcasing all possible combinations of money laundering schemes. Three network-based analyses are then conducted: (1) centrality analysis, to determine the most ‘important’ money laundering actions as priorities for prevention, (2) resilience analysis to simulate iterative interventions against different money laundering actions to assess their impact on the wider network and (3) subgroup analysis to identify groups of commonly undertaken schemes (i.e. “typologies”).

Results
Money laundering is found to be a highly resilient process crime, with specific interventions often unable to prevent schemes from displacing to alternative activities to launder their funds. However, benefits of tactically displacing criminals to more easily detectable schemes are discussed. The formulation of money laundering typologies through more empirically robust processes is also motivated, in place of compartmentalised reports that remain the current standard practice.

Conclusions
Network analysis is motivated as an effective way of visualising complex process crimes with vast criminal opportunities such as money laundering, allowing policy-relevant insights to be drawn in terms of resource-allocation, strategy and prioritisation. Theoretical and policy implications of the current study are discussed in the context of crime scientific theories.
Flood-related hazard criteria during the human evacuation of underground spaces through stairs: a state-of-the-art review
Authors: Aparicio Uribe Carlos H. , Russo Beniamino , Téllez-Álvarez Jackson , Martínez-Gomariz Eduardo 
Published: November 2024

AbstractDue to the increasing urbanisation trend and more recurrent flood events worldwide that are affecting exposed habitable areas like underground spaces. This state-of-the-art review presents a comprehensive analysis of the available literature that focuses on defining instability criteria for hazard assessment during human evacuation of underground flooded stairs. The studies are outlined in three main groups: theoretical, experimental campaigns and numerical approaches. Several methods for defining specific criteria were found, most of these criteria were described as a function of water depth (D) alone or in combination with velocity (V) highlighting the importance of these two water-related parameters for flood-related hazard evaluation. Succinctly, the most relevant findings and limitations of these studies are discussed and summarised in tables. A comparison with other flood-related hazard criteria in plain and mild-slope areas is presented. Finally, potential future investigation lines are proposed. Thus, this state-of-the-art review could offer a comprehensive overview of the topic and stimulate new exploratory studies in this research field yielding valuable insights that can be easily transmitted to stakeholders or non-experts and foster urban resilience during floods.
Plant-soil feedback responses to drought are species-specific and only marginally predicted by root traits
Authors: Enderle Eileen , Hou Fangbin , Hinojosa Leonardo , Kottman Hidde , Kasirga Nigâr , de Vries Franciska T. 
Published: November 2024

Abstract
Background and aims
The increasing occurrence of extreme drought events under climate change alters the composition and functioning of plant communities worldwide. Drought-induced changes in plant-soil feedback (PSF), reciprocal effects on fitness between plants and their associated soil microbial communities, are one mechanism through which these changes in vegetation occur, but they remain difficult to predict. Because of their direct link to rhizosphere microbial communities, we expect root traits to predict drought-induced PSF shifts.

Methods
In the conditioning phase of a greenhouse experiment, we subjected 12 common grassland species to drought. In the feedback phase, all species were grown under ambient conditions with their own microbial inoculum. Their growth was compared to growth in sterile soil to assess total PSF or soil inoculated with microbes from three other species to assess specific PSF. We used root traits to predict PSF under drought and ambient conditions.

Results
Drought altered the magnitude and direction of PSF in a quarter of the species, which was consistent between total and specific PSF. Total PSF was best predicted by the first axis of the root trait space (high specific root length to high root diameter and root nitrogen content) and was not responsive to drought. Specific PSF was weakly predicted by root traits and changed in response to drought.

Conclusion
Our results show that drought can modify the feedbacks between plants and their microbial communities with implications for vegetation dynamics. Root traits have limited capacity to predict these shifts, but can predict PSF of the total microbial community independent of drought.
Online Misleading Information About Women’s Reproductive Health: A Narrative Review
Authors: John Jennifer N , Gorman Sara , Scales David , Gorman Jack 
Published: November 2024

AbstractMisinformation about reproductive health threatens to harm health outcomes, compromise medical trust, and enable misinformed policy restrictions. In recent years, reproductive health misinformation has proliferated online due to ideological campaigns and limited content moderation for reproductive health topics. Developing evidence-based practices to counter reproductive health misinformation requires an understanding of the content that women are exposed to online, which is currently lacking. This review sought to identify common claims and narratives about reproductive health on social media and the internet that could easily mislead. We performed a narrative review of articles about online reproductive health misinformation, from which we extracted misleading claims and narratives. We conducted a qualitative content analysis to describe the ways in which the claims and narratives could be misleading. We found that potentially misleading claims and narratives about reproductive topics relating to contraception and abortion, fertility, chronic disease, breast cancer, maternal health, and vaccines abound across social media platforms and websites, with 112 identified in total. One-third of this content could mislead by claiming that evidence-based interventions were associated with unattributed risks. Twenty-three percent made medical recommendations that do not align with professional guidelines. Fourteen percent promoted alternative medicine. Smaller numbers of claims and narratives exaggerated risks of medical interventions, discouraged evidence-based interventions, directly undermined medical trust, and proposed inaccurate biological mechanisms. Healthcare professionals can proactively promote evidence-based medical decision-making by increasing their awareness of prominent misleading claims and narratives.
Visual cues of soft-tissue behaviour in minimal-invasive and robotic surgery
Authors: Trute Robin Julia , Alijani Afshin , Erden Mustafa Suphi 
Published: November 2024

AbstractMinimal-invasive surgery (MIS) and robotic surgery (RS) offer multiple advantages over open surgery (Vajsbaher et al. in Cogn Syst Res 64:08, 2020). However, the lack of haptic feedback is still a limitation. Surgeons learn to adapt to this lack of haptic feedback using visual cues to make judgements about tissue deformation. Experienced robotic surgeons use the visual interpretation of tissue as a surrogate for tactile feedback. The aim of this review is to identify the visual cues that are consciously or unconsciously used by expert surgeons to manipulate soft tissue safely during Minimally Invasive Surgery (MIS) and Robotic Surgery (RS). We have conducted a comprehensive literature review with papers on visual cue identification and their application in education, as well as skill assessment and surgeon performance measurement with respect to visual feedback. To visualise our results, we provide an overview of the state-of-the-art in the form of a matrix across identified research features, where papers are clustered and grouped in a comparative way. The clustering of the papers showed explicitly that state-of-the-art research does not in particular study the direct effects of visual cues in relation to the manipulation of the tissue and training for that purpose, but is more concentrated on tissue identification. We identified a gap in the literature about the use of visual cues for educational design solutions, that aid the training of soft-tissue manipulation in MIS and in RS. There appears to be a need RS education to make visual cue identification more accessible and set it in the context of manipulation tasks.
Eelgrass (Zostera marina) Trait Variation Across Varying Temperature-Light Regimes
Authors: Wong Melisa C. , Dowd Michael 
Published: November 2024

AbstractSeagrass trait variation, which results from both local genetic adaptation and phenotypic plasticity, has important effects on ecosystems. Physical drivers underlie these processes and are important determinants of trait variation. Despite this, few studies examine multivariate predictive relationships between sets of physical drivers and sets of seagrass traits. Here, we use redundancy analysis to define this relationship for eelgrass Zostera marina, using traits that represent bed structure, morphology, and physiology and physical drivers that emphasize light conditions and temperature variability on different time scales. We found a relationship between plant size (i.e., leaf length and width, rhizome width, number of leaves) and shoot density that dominated the trait variation. Specifically, as temperatures became warmer, more variable, and light was less limiting, plants became smaller (shorter, narrower, and fewer leaves, thinner rhizomes) but beds became denser. Plant biomass (leaf area index), which increased with decreasing temperature variability and bottom light, further refined this relationship. Overall, temperature variability (i.e., daily temperature range, heat accumulation, time in the optimal temperature range, and tidal and meteorological variability), as well as bottom light, were important predictors of eelgrass traits. We further identified three distinct temperature-light regimes across which traits differed; these included the cool low variability temperature regime with low light, the warm high variability temperature regime with high light, and the intermediate case between these endpoints. Our study identifies specific temperature and light drivers that define certain eelgrass traits and provides a multivariate statistical model that can be used to predict eelgrass trait values from known physical conditions.
Enhancing Road Drainage Systems for Extreme Storms: Integration of a High-Precision Flow Diversion Module into SWMM Code
Authors: Ren Yuting , Shao Zhiyu , Zhang Qi , Feng Wang , Xu Lei , Gong Huafeng , Yost Scott , Chen Lei , Chai Hongxiang 
Published: November 2024

AbstractUrban road networks function as surface passage for floodwater transport during extreme storm events to reduce potential risks in the city. However, precise estimation of these flow rates presents a significant challenge. This difficulty primarily stems from the intricate three-dimensional flow fields at road intersections, which the traditional one-dimensional models, such as Storm Water Management Model (SWMM), fail to precisely capture. The two-dimensional and three-dimensional hydraulic models are overly complex and computationally intensive and thus not particularly efficient. This study addresses these issues by integrating a semiempirical flow diversion formula into the SWMM source code. The semiempirical formula, derived from hydraulic experiments and computational fluid dynamics simulations, captures the flow dynamics at T-shaped intersections. The modified SWMM’s performance was evaluated against experimental data, and the original SWMM, the two-dimensional MIKE21, and the three-dimensional FLUENT models. The results indicate that the modified SWMM matches the precision of the two-dimensional MIKE21, while significantly reducing computational time. Compared to MIKE21, this study achieved a Nash-Sutcliffe efficiency of 0.9729 and a root mean square error of 0.042, with computational time reduced by 99%. The modified SWMM is suitable for real-sized urban road networks. It provides a high-precision tool for urban road drainage system computation that is crucial for effective stormwater management.
The Effects of Mandatory Private Disclosure On Public Disclosure—Evidence from CbCR
Authors: Müller Raphael , Voget Johannes , Zental Jan 
Published: November 2024

Abstract
We analyze the effect of increased mandatory private disclosure to fiscal authorities on voluntary public disclosure decisions. We exploit the introduction of Country-by-Country Reporting (CbCR), which requires large multinational corporations to report detailed geographic segment information to fiscal authorities to prevent income shifting. Using both difference-in-differences and regression discontinuity designs in our empirical approach, we investigate how multinational corporations respond to CbCR in their public disclosure of geographic information in financial statements and the narrative part of annual reports. We find that firms subject to CbCR decrease their disclosure of qualitative and sensitive geographic information. This effect is particularly pronounced for firms potentially subject to higher scrutiny by tax authorities and for firms with a stronger international presence. Our results suggest that private and public disclosure of geographic information are substitutes in the context of the mandatory private reporting requirement under CbCR.
Introduction to Catastrophe Risk Modelling
Authors: Mignan Arnaud 
Published: November 2024

Focusing on the physics of the catastrophe process and addressed directly to advanced students, this innovative textbook quantifies dozens of perils, both natural and man-made, and covers the latest developments in catastrophe modelling. Combining basic statistics, applied physics, natural and environmental sciences, civil engineering, and psychology, the text remains at an introductory level, focusing on fundamental concepts for a comprehensive understanding of catastrophe phenomenology and risk quantification. A broad spectrum of perils are covered, including geophysical, hydrological, meteorological, climatological, biological, extraterrestrial, technological and socio-economic, as well as events caused by domino effects and global warming. Following industry standards, the text provides the necessary tools to develop a CAT model from hazard to loss assessment. Online resources include a CAT risk model starter-kit and a CAT risk modelling 'sandbox' with Python Jupyter tutorial. Every process, described by equations, (pseudo)codes and illustrations, is fully reproducible, allowing students to solidify knowledge through practice.
Recycling the Roman Villa
Authors: Munro Beth 
Published: November 2024

Though abandoned between the third and seventh centuries CE, many Roman villas enjoyed an afterlife in late antiquity as a source of building materials. Villa complexes currently serve as a unique archaeological setting in that their recycling phases are often better preserved than those at urban sites. Building on a foundational knowledge of Roman architecture and construction, Beth Munro offers a retrospective study of the material value of and deconstruction processes at villas. She explores the technical properties of glass, metals, and limestone, materials that were most frequently recycled; the craftspeople who undertook this work, as well as the economic and culture drivers of recycling. She also examines the commissioning landowners and their rural networks, especially as they relate to church construction. Bringing a multidisciplinary lens to recycling practices in antiquity, Munro proposes new theoretical and methodological approaches for assessing architectural salvage and reprocessing within the context of an ancient circular economy.
Mixed-methods analysis of personal growth in an equity-centered leadership development program
Authors: McKelvy Josephine , Du Chenguang , Song Michelle , Carr Tara , Berthiaume Rachel , Corbie Giselle , Fernandez Claudia , Dave Gaurav 
Published: November 2024

Abstract

Introduction:
Self-efficacy (or the belief in one’s ability to effect change) often moderates the relationship between education, interest, and actions in evaluations of training programs that prepare community-based investigators in the clinical and translational sciences workforce. Such evaluations, however, tend to emphasize individual-level attitudes when there are also community- or organizational-level outcomes impacted. Methods: This study uses a novel sequential, explanatory mixed-methods design to explore multiple levels of self-efficacy (or self-awareness of personal growth in leadership) in the Clinical Scholars program, an equity-centered leadership development program for mid- to later-career healthcare professionals. Our design involves: (1) bivariate correlations and confirmatory factor analysis of self-assessed competencies across all program participants to identify emergent combinations of competencies, which informed (2) more nuanced thematic coding of participants’ stories of most significant change in their personal and professional lives, as a result of the program. Results: In unpacking their accounts of personal leadership styles (that aligned with our quantitative analyses of competencies), we found that participants demonstrated multiple competencies simultaneously. Specifically, they employed emotionally intelligent learning and consensus-building dialogue to manage conflict for interpersonal impact. Additionally, they used this combination of skills to unite diverse stakeholders under a shared vision in order to lead and manage organizational change where all colleagues’ contributions were valued. Conclusion: Together, these methods extend our understanding of personal growth in leadership as an outcome of the program in terms of individual- and organizational-level impacts, using representative quantitative self-assessments to categorize rich qualitative descriptions.