bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploring the prevalence of undetected bradyarrhythmia in dementia with Lewy bodies
Authors: Heyman Isak , Persson Torbjörn , Haglund Mattias , Londos Elisabet 
Published: July 2023

Abstract
Purpose
To explore the prevalence of undetected bradyarrhythmia in a cohort of people with dementia with Lewy bodies.

Methods
Thirty participants diagnosed with dementia with Lewy bodies were enrolled from three memory clinics in southern Sweden between May 2021 and November 2022. None had a history of high-grade atrioventricular block or sick sinus syndrome. Each participant underwent orthostatic testing, cardiac [123I]metaiodobenzylguanidine scintigraphy and 24-h ambulatory electrocardiographic monitoring. Concluding bradyarrhythmia diagnosis was obtained until the end of December 2022.

Results
Thirteen participants (46.4%) had bradycardia at rest during orthostatic testing and four had an average heart rate < 60 beats per minute during ambulatory electrocardiographic monitoring. Three participants (10.7%) received a diagnosis of sick sinus syndrome, of whom two received pacemaker implants to manage associated symptoms. None received a diagnosis of second- or third-degree atrioventricular block.

Conclusion
This report showed a high prevalence of sick sinus syndrome in a clinical cohort of people with dementia with Lewy bodies. Further research on the causes and consequences of sick sinus syndrome in dementia with Lewy bodies is thus warranted.
Dynamic deformation monitoring and scenario simulation of the Xiaomojiu landslide in the Jinsha River Basin, China
Authors: Zhang Chenglong , Li Zhenhong , Ding Mingtao , Zhu Wu , Chen Bo , Zhuang Jianqi , Du Jiantao , Peng Jianbing 
Published: July 2023

AbstractThe Xiaomojiu landslide is a typical high-elevation, long-runout landslide located in the Jinsha River Corridor. In this study, sequential InSAR time-series estimation was used to calculate the line of sight (LOS) surface displacements with descending and ascending Sentinel-1 images, and it turned out that the cumulative LOS surface displacement of the landslide was up to −78.4 mm during the period from October 2017 to April 2021 with the maximum LOS surface displacement rate of −38.5 mm/year. The landslide body could be divided into five zones (A, B1, B2, B3, and C) according to its topographical characteristics together with the LOS surface displacement time series. Combining engineering geological characteristics, LOS cumulative surface displacements with site investigation suggest that the Xiaomojiu landslide is likely to be a precipitation-triggered ancient traction rock landslide at the accelerated deformation stage. A dynamic simulation of the Xiaomojiu landslide with the PFC3D software shows that it could take approximately 65 s for the Xiaomojiu landslide from start-up to acceleration to deceleration to build-up of a barrier lake, followed by a simulation from the barrier lake to outburst floods with the HEC-RAS software indicating that the maximum depth of the outburst floods could be 13.5 m (15%), 24.6 m (25%), 42.1 m (50%), and 50.3 m (75%) along Qinghai-Tibet Plateau Transportation Corridor (QTPTC). It is believed that the results of this study provide a reference for landslide prevention along the QTPTC and the Jinsha River.
Surgical Robotics for Intracerebral Hemorrhage Treatment: State of the Art and Future Directions
Authors: Wu Zhuojin , Chen Danyang , Pan Chao , Zhang Ge , Chen Shiling , Shi Jian , Meng Cai , Zhao Xingwei , Tao Bo , Chen Diansheng , Liu Wenjie , Ding Han , Tang Zhouping 
Published: July 2023

AbstractIntracerebral hemorrhage (ICH) is a stroke subtype with high mortality and disability, and there are no proven medical treatments that can improve the functional outcome of ICH patients. Robot-assisted neurosurgery is a significant advancement in the development of minimally invasive surgery for ICH. This review encompasses the latest advances and future directions of surgical robots for ICH. First, three robotic systems for neurosurgery applied to ICH are illustrated. Second, the key technologies of robot-assisted surgery for ICH are introduced in aspects of stereotactic technique and navigation, the puncture instrument, and hematoma evacuation. Finally, the limitations of current surgical robots are summarized, and the possible development direction is discussed, which is named “multisensor fusion and intelligent aspiration control of minimally invasive surgical robot for ICH”. It is expected that the new generation of surgical robots for ICH will facilitate quantitative, precise, individualized, standardized treatment strategies for ICH.
Using stochastic frontier analysis instead of data envelopment analysis in modelling investment performance
Authors: Lamb John D. , Tee Kai-Hong 
Published: July 2023

AbstractWe introduce methods to apply stochastic frontier analysis (SFA) to financial assets as an alternative to data envelopment analysis, because SFA allows us to fit a frontier with noisy data. In contrast to conventional SFA, we wish to deal with estimation risk, heteroscedasticity in noise and inefficiency terms. We investigate measurement error in the risk and return measures using a simulation–extrapolation method and develop residual plots to test model fit. We find that shrinkage estimators for estimation risk makes a striking difference to model fit, dealing with measurement error only improves confidence in the model, and the residual plots are vital for establishing model fit. The methods are important because they allow us to fit a frontier under the assumption that the risks and returns are not known exactly.
Closing the Gap for Children with OCD: A Staged-Care Model of Cognitive Behavioural Therapy with Exposure and Response Prevention
Authors: Farrell Lara J. , Waters Allison M. , Storch Eric A. , Simcock Gabrielle , Perkes Iain E. , Grisham Jessica R. , Dyason Katelyn M. , Ollendick Thomas H. 
Published: July 2023

AbstractChildhood obsessive–compulsive disorder (OCD) is among the most prevalent and disabling mental health conditions affecting children and adolescents. Although the distress and burden associated with childhood OCD are well documented and empirically supported treatments are available, there remains an unacceptable “treatment gap” and “quality gap” in the provision of services for youth suffering from OCD. The treatment gap represents the large number of children who never receive mental health services for OCD, while the quality gap refers to the children and young people who do access services, but do not receive evidence-based, cognitive behavioural therapy with exposure and response prevention (CBT-ERP). We propose a novel staged-care model of CBT-ERP that aims to improve the treatment access to high-quality CBT-ERP, as well as enhance the treatment outcomes for youth. In staged care, patients receive hierarchically arranged service packages that vary according to the intensity, duration, and mix of treatment options, with provision of care from prevention, early intervention, through to first and second-line treatments. Based on a comprehensive review of the literature on treatment outcomes and predictors of treatments response, we propose a preliminary staging algorithm to determine the level of clinical care, informed by three key determinants: severity of illness, comorbidity, and prior treatment history. The proposed clinical staging model for paediatric OCD prioritises high-quality care for children at all stages and levels of illness, utilising empirically supported CBT-ERP, across multiple modalities, combined with evidence-informed, clinical decision-making heuristics. While informed by evidence, the proposed staging model requires empirical validation before it is ready for prime time.
How did the Treatment Work for Robin? And for Dylan? Studying Individual Youth Treatment Mediators Using Single-Case Experimental Designs
Authors: Maric Marija , Kok Shawn I. 
Published: July 2023

AbstractStudy of individual treatment mechanisms in youth interventions facilitates evidence-based development, selection and implementation of treatment components that are most effective for each individual child. This position paper aims to bring together two important topics from the area of youth intervention research: mediators of treatment outcomes and single-case experimental design methodology. We start by outlining the benefits of studying within-person mechanisms and propose how statistical mediation analysis and single-case methods can be integrated to enable this type of research. Further, we review existing methodology for the study of individual youth treatment mechanisms and provide recommendations for the clinical practice research.
Cellulose acetate for a humidity-responsive self-actuator bilayer composite
Authors: Khoshtinat Shiva , Carvelli Valter , Marano Claudia 
Published: July 2023

AbstractThe use of stimuli-responsive polymers to produce environmentally responsive self-actuators continues to rise. Highly hygroscopic materials are attracting great interest for the design of humidity-responsive self-actuators. In this context, bilayer composites, formed by the coupling of a hygroscopic layer with a non-hygroscopic one, are relevant as they allow for the response to be tuned through the design of the composite layers. Therefore, the meticulous material characterization and the definition of descriptive models of their hygroscopic behavior are the primary steps towards the development of humidity-responsive self-actuators. This study is aimed at measuring and predicting the response of a bilayer composite made of a hygroscopic material layer and a layer of a non-hygroscopic material when subjected to changes in environmental humidity levels, to be used as a humidity-responsive self-actuator. A cellulose acetate was used as the hygroscopic material. Predictions for the induced hygroscopic deformation in the bilayer composite, based on two-physics finite element simulations, are compared to experimental measurements.
Rich scholar, poor scholar: inequalities in research capacity, “knowledge” abysses, and the value of unconventional approaches to research
Authors: Goyes David Rodriguez , Skilbrei May-Len 
Published: July 2023

AbstractThe dominance of modern rationality in knowledge production implies that the distribution of intellectual capital highly depends on the capacity to gather representative data and generate generalizable theses. Furthermore, as research becomes more formalized and dominated by large funding schemes, intellectual capital allocation is increasingly associated with high economic, labor force and institutional power. This phenomenon has consequences at the global level. As the United Nations Educational, Scientific and Cultural Organization (UNESCO) has documented, there are significant disparities between countries in research capacities, with a marked difference between “core” countries with semi-monopolies over sanctioned knowledge production and “peripheral” states primarily used as data mines. The core–periphery divide in research capacity brings about what decolonial theorists call knowledge abysses: the widespread idea that core countries are the ultimate knowledge producers and thus the legitimate guides in humanity’s road to “progress.” In that context, the democratization of knowledge and the prevention of neo-colonial dynamics require the development of cheaper and more accessible ways of collecting representative data. In this article, we make a call for innovations in methods that can serve to overcome this, and we illustrate possible avenues for achieving sound research without incurring high financial costs by describing and discussing our experiences in researching narco-violence in Colombia and prostitution in Russia with what we call the “taxi method.”
Specifying a principle of cryptographic justice as a response to the problem of going dark
Authors: Wilson Michael 
Published: July 2023

AbstractOver the past decade, the Five Eyes Intelligence community has argued cryptosystems with end-to-end encryption (E2EE) are disrupting the acquisition and analysis of digital evidence. They have labelled this phenomenon the ‘problem of going dark’. Consequently, several jurisdictions have passed ‘responsible encryption’ laws that limit access to E2EE. Based upon a rhetorical analysis (Cunningham in Understanding rhetoric: a guide to critical reading and argumentation, BrownWalker Press, Boca Raton, 2018) of official statements about ‘going dark’, it is argued there is a need for a domain-specific principle of cryptographic justice to reorient the debate away from competing technocratic claims about the necessity, proportionality, and accountability of digital surveillance programs. This article therefore specifies a principle of cryptographic justice by adapting more general norms of information justice to decision-making about encryption law and policy. The resulting principle is that encryption laws and policies should be designed to empower the comparatively powerless to protect themselves from domination (i.e., morally arbitrary forms of surveillance). It is argued this principle can reorient decision-making about encryption law and policy towards consideration of how cryptography impacts systems-level power dynamics within information societies.
Thermal and Structural Response of Beam-end Shear Connections During a Large Compartment Fire Experiment
Authors: Dai Xu , Choe Lisa , Fischer Erica , Clifton G Charles 
Published: July 2023

AbstractThe role of steel connections is essential in structural fire design and analysis for steel-framed composite structures. The current structural design provisions provide strength reduction factors of load-carrying members and their end-connection elements at elevated temperatures, based on small-scale experiments under uniform heating conditions. The realistic thermal and structural evolution in member connections, especially as part of full-scale floor assemblies exposed to a large compartment fire, has not been well characterized. A large compartment fire experiment was recently conducted on a 9.1 m by 6.1 m composite floor assembly as part of a two-story steel-framed building. The test assembly had a total of ten shear-tab (fin-plate) connections subjected to combined fire and mechanical loading. This paper presents the measured thermal response of these connections to fire and comparison with the corresponding Eurocode 3 predictions with two methods (1) incorporating the beam bottom flange temperature at midspan and (2) the section factor method. The results show that the Eurocode 3 methods conservatively predict the maximum temperature during heating and the cooling rate but overestimate the high-temperature strength of connections when estimated using the section factor method, showing that the Eurocode 3 simplified approaches are not meant to provide the details of the failure mode for connections. This study suggests that estimating the strength of connections using strength reduction factors may not guarantee a safe structural fire design. In addition, this paper estimated the total axial force (from slab and beam) at the composite connection via using the strain gauge measurements close to the column bases which were not exposed to fire. It suggests realistic axial load and rotational demand on the shear connection due to restraints to thermal elongation or contraction of supported members should be considered in future design guidance as should designing and detailing the connections for ductility to withstand the inelastic deformation demands during the heating and the cooling phases.
Validation, Reliability, and Performance of Shear Strength Models for Unsaturated Soils
Authors: Pham Tuan A. , Sutman Melis , Medero Gabriela M. 
Published: July 2023

AbstractSoil shear strength is the most fundamental property when designing structures in the ground and should be carefully assessed and understood. Several empirical models were introduced to predict the shear strength of unsaturated soils. However, there is uncertainty regarding the applicability and sensitivity of these prediction models. This paper presents a comprehensive verification study to assess the reliability and validity of the existing theoretical models. The results obtained from the prediction models are compared to measured data using thirty experimental data sets. A performance classification program is also conducted to assess the suitability of the analytical models for different soil types as well as over a wide range of matric suctions, saturation degrees, soil densities, soil plasticity, and clay activity. The impact of each single parameter is clarified by the microstructure studies, which also provides insight into the mechanics of unsaturated soils. The results indicated that the applicability of models is more appropriate for sandy soils rather than for clayey ones. The performance of shear strength models tends to decrease with an increase in matric suction, initial density, plasticity index, and clay activity. It is, therefore, recommended that the shear strength estimation models should be carefully selected depending on the soil type and properties. Besides, the analysed results pointed out that the choice to assume the factor $$\chi$$
χ
in the equation of Bishop equals the saturation degree is only suitable for medium-dense soils with low matric suction. This assumption is particularly not effective for clayey soils, or dense soils with high matric suction.
The Succession of Farmers’ Perceptions of Transitioning Landscapes – A Case Study of Agroforestry in the Middle Hills of Nepal
Authors: McGunnigle Nicola , Bardsley Douglas , Nuberg Ian , Cedamon Edwin , Pandit Bishnu Hari 
Published: July 2023

AbstractOut-migration from small-scale agricultural holdings in Nepal’s middle hills is resulting in forest succession on abandoned land. Such early landscape transitions are often guided by policy to maintain a productivist path. However, farming households in rural Nepal are themselves transitioning from their dependence and attachment to the land. The walk and talk methodology was selected to follow up socioecological surveys with farmers in the middle hills to understand perceptions of forest succession on abandoned agricultural land. This participatory research methodology engages people in their own socio-ecological context – with farmers leading researchers along paths that advances dialogue over the course of the interview. Based on analysis of the discussions and observations of attitudes, perceptions of changing landuse and benefits associated with forest succession evolved with time since land abandonment. Early stage perceptions that focused on the loss of previously productive land developed over time to include attitudes of tolerance, acceptance and even commendation of the rewards gained from tree resources. The results infer that adaptation to the changing landscape is a continuous process that requires reflexive policies and supporting institutions that enable stages of adjustment during transition. Transition management that anticipates actors’ concerns from the outset could assist transformation of agricultural landscapes and improve resilience in the socio-ecological system for sustainable livelihood outcomes. Opportunities within each stage of transition, which include the promotion of successional agroforestry systems, require different forms of support as farmers adapt their outlooks to alternative landscapes and livelihoods that can create resilience through diversity.
Line Managers’ Perspectives and Responses when Employees Burn Out
Authors: Claeys M. , Van den Broeck A. , Houkes I. , de Rijk A. 
Published: July 2023

Abstract
Purpose
Little is known about whether burnout can be stopped at an emerging stage. To develop this knowledge, we focus on line managers’ perspectives and responses when an employee who seems to be heading for burnout is still at work.

Methods
We interviewed 17 line managers working in the educational and health care sectors, who had been confronted with the sickness absence of at least one employee due to burnout in the past. Interviews were transcribed, coded, and analyzed thematically.

Results
During the period that the employee seemed to be developing burnout while still at work, line managers experienced three different, successive phases: picking up signals, role-taking, and re-evaluation. Line managers’ personal frame of reference (e.g., having experience with burnout) seemed to influence whether and how they picked up signals of burnout. Line managers not picking up signals, did not take any action. When picking up the signals, the managers however generally took an active role: they started a conversation, changed work tasks, and - at a later stage - adapted the employee’s job description, sometimes without consulting the employee. The managers felt powerless yet learned from the experience when subsequently re-evaluating the period during which employees developed symptoms of burnout. These re-evaluations resulted in an adapted personal frame of reference.

Conclusion
This study shows that improving line managers’ frame of reference, e.g., by organizing meetings and/or training, may help them to detect early signals of burnout and take action. This is a first step to prevent the further development of early burnout symptoms.
Estimating Census Tract House Price Indexes: A New Spatial Dynamic Factor Approach
Authors: Francke Marc , Rolheiser Lyndsey , Van de Minne Alex 
Published: July 2023

AbstractGeographically and temporally granular housing price indexes are difficult to construct. Data sparseness, in particular, is a limiting factor in their construction. A novel application of a spatial dynamic factor model allows for the construction of census tract level indexes on a quarterly basis while accommodating sparse data. Specifically, we augment the repeat sales model with a spatial dynamic factor model where loadings on latent trends are allowed to follow a spatial random walk thus capturing useful information from similar neighboring markets. The resulting indexes display less noise than similarly constructed non-spatial indexes and replicate indexes from the traditional repeat sales model in tracts where sufficient numbers of repeat sales pairs are available. The granularity and frequency of our indexes is highly useful for policymakers, homeowners, banks and investors.
Distributive Justice, Political Legitimacy, and Independent Central Banks
Authors: Ferret Mas Josep 
Published: July 2023

AbstractThe Global Financial Crisis of 2007–2009 exacerbated two distinct concerns about the independence of central banks: a concern about legitimacy and a concern about economic justice. This paper explores the legitimacy of independent central banks from the perspective of these two concerns, by presenting two distinct models of central banking and their different claims to political legitimacy and distributive justice. I argue primarily that we should avoid construing central bank independence in binary terms, such that central banks either are, or are not, independent. I will argue that we should instead construe central bank independence in scalar terms, so that independence admits of degree, thus allowing us to develop an account of independence in which central banks can retain it to the extent necessary for economic efficiency, while meeting reasonable concerns regarding democratic legitimacy and economic justice.