bluuebunny/crossref_metadata_2025_split huggingface dataset:
Voxel‐Based Morphometry and Subfield Volumetry Analysis Reveal Limbic System Involvement in Tinnitus
Authors: Lee Sekwang , Pyun Sung‐Bom , Sim Youngbo , Um Sangwon , Tae Woo‐Suk , Nam Eui‐Cheol 
Published: January 2025

ABSTRACTBackground and PurposeTinnitus is a condition in which individuals perceive sounds, such as ringing or buzzing, without any external source. Although the exact cause is not fully understood, recent studies have indicated the involvement of nonauditory brain structures, including the limbic system. We aimed to compare the volumes of specific brain structures between patients with tinnitus and controls.MethodsVoxel‐based morphometry and subfield volumetry were applied to analyze the brain structures of 53 patients with tinnitus and 52 age‐ and sex‐matched controls. The volumes of the amygdala, hippocampus, and thalamus were measured and compared between the groups.ResultsPatients with tinnitus had larger volumes in the whole amygdala, basal nucleus, right lateral nucleus, and left paralaminar nucleus compared with controls. In addition, the subiculum head, left fimbria, and left presubiculum head in the hippocampus were larger in patients with tinnitus. No differences were found in the total thalamic volume or thalamic subnuclei between groups. The gray matter volumes in the thalamus, amygdala, and hippocampus were significantly high in the tinnitus group. The cortical thicknesses of both of the marginal branches of the cingulate sulcus, the left superior parietal lobule, and the left subparietal sulcus were also high in the tinnitus group.ConclusionsThese findings indicate the involvement of the limbic system in tinnitus, and enhance our understanding of the condition. The subfield volumetry technique used in this study may aid in identifying the structural differences associated with specific neurological and psychiatric conditions.
Taking Academic Ownership of the Supply Chain Emissions Discourse
Authors: Wieland Andreas , Creutzig Felix 
Published: January 2025

ABSTRACTThe climate crisis requires a focus on supply chain emissions—both upstream and downstream. Although supply chain emissions typically account for the majority of a company's greenhouse gas emissions, the discipline of supply chain management (SCM) has yet to fully engage in this discourse, leaving substantial research opportunities untapped. This editorial calls upon SCM scholars to take responsibility and actively engage in the study of supply chain emissions by proposing a comprehensive research agenda. The authors explore emerging corporate interventions aimed at reducing supply chain emissions. They develop a framework categorizing these interventions as either collaborative or authoritative, targeting behavioral or operational changes. Based on this framework, research opportunities within SCM are then discussed, following four different styles of theorizing—propositional, processual, perspectival and provocative—to promote theoretical advancements. By embracing this research agenda, the SCM discipline can play a critical role in the supply chain emissions discourse and have a strong societal impact.
Non‐Additive Gene Expression in Carbon and Nitrogen Metabolism Drives Growth Heterosis in Populus deltoides
Authors: Zhang Jing , Zhang Weixi , Ding Changjun , Zhao Jun , Su Xuehui , Yuan Zhengsai , Chu Yanguang , Huang Qinjun , Su Xiaohua 
Published: January 2025

ABSTRACTGrowth heterosis is crucial for Populus deltoides breeding, a key industrial‐timber and ecological‐construction tree species in temperate regions. However, the molecular mechanisms underlying carbon (C)–nitrogen (N) metabolism coordination in regulating growth heterosis remain unclear. Herein high‐hybrids of P. deltoides exhibited high‐parent heterosis and mid‐parent heterosis in growth traits and key enzymes of C–N metabolism. In hybrids, gene expression patterns were mainly biased toward female parent. Parental contribution to growth heterosis in P. deltoides is differentiation, rather than absolute maternal or paternal dominance contributions. Parental genes were predominantly and dynamically inherited in a non‐additive manner, mainly with dominant expression patterns. A total of 44 non‐additive genes associated with photosynthetic C fixation, starch and sucrose metabolism, sucrose transport, photorespiration, and nitrogen metabolism coregulated growth heterosis by coordinating C–N metabolism. Growth‐regulating factors 4 interacted with DELLA genes to promote growth by enhancing this coordination. Additionally, five critical genes were identified. Briefly, the above genes in high‐hybrids improved photosynthesis and N utilisation by regulating carbohydrate accumulation and enzyme activity, while reducing respiratory energy consumption, thereby providing more energy for growth and promoting growth heterosis. Our findings offer new insights and theoretical basis for deep understanding genetic and molecular regulation mechanisms of tree heterosis and its application in precision hybrid breeding.
Agendas and instability in American local politics: A study of the Austin City Council Agenda 1900–2020
Authors: Mortensen Peter B. , Shannon Brooke Nicole 
Published: January 2025

AbstractThe 1993 publication of Agendas and Instability in American Politics transformed the study of policymaking in American politics, by systematically tracing stability and change in issue attention over time. The underlying data collection effort is essential to understanding its importance; thousands of measures of the policy agenda were collected and content coded to examine trends in policy outputs from various American political institutions. In this study, we apply a similar coding scheme at the local level to study stability and change in policy agendas at the local level. Using a 120‐year sample of all items from city council meeting minutes in Austin, Texas, content coded to the subtopic level, we identify long‐term trends in the local policy agenda and explores how the local policy agenda is influenced by the national policy agenda, by local population growth and by reforms of local political institutions.
Amenity Migration and Community Wellbeing in Washington's Kittitas County Post‐COVID‐19 Pandemic*
Authors: Theophilus Alexander , Ulrich‐Schad Jessica , Flint Courtney , Epperson Emma 
Published: January 2025

AbstractAmenity migration in the Intermountain West is a rapidly evolving process that has greatly impacted wellbeing in many rural communities over the past several decades. While the impacts of amenity migration have been discussed through both individual community case studies and cross‐community comparative analysis, there is an ongoing need for research that continues to build upon our understanding of amenity migration's effects on individual and community wellbeing. Remote and hybrid work opportunities, expanded during the COVID‐19 pandemic, have allowed for an increasing number of people to live part or full‐time in highly desirable rural locations, particularly those proximate to larger urban areas. In this paper, we discuss the historical and current trends of amenity migration in Kittitas County, proximate to Seattle, Washington, on the eastern slope of the Cascade Mountains. Drawing upon perspectives shared in 80 interviews with key informants and community members about community wellbeing in three towns, we discuss the implications of amenity migration for the perceived quality of life of both longer‐term residents and newer community members. Additionally, the setting and scope of this research allows for comparison between high‐amenity rural communities with larger recreation economies, and adjacent less—amenity‐based rural communities. Findings indicate that amenity migration continues to evolve and impact community wellbeing, primarily via community cultural changes and socioeconomic and housing inequality. However, there are nuanced geographical and longitudinal differences in the impacts of amenity migration. Additionally, participants perceived an increase in amenity migration patterns and impacts in the years following the COVID‐19 pandemic. To conclude, we discuss ongoing and potential initiatives that may help support community wellbeing, as well as possibilities for further improvements in policy and planning to equitably increase the quality of life for all residents.
The impact of high discharge variability on sedimentology and architecture of bar deposits in the meandering Powder River (Montana, USA)
Authors: Maitan Riccardo , Fielding Christopher R. , Moody John A. , Finotello Alvise , Tognin Davide , D'Alpaos Andrea , Ghinassi Massimiliano 
Published: January 2025

AbstractPoint bars are emblematic deposits of meandering rivers. Classical facies models that define their architecture and sedimentology are essentially based on rivers with low to moderate peak discharge variability. However, many global rivers experience high peak discharge variability, which may significantly impact point‐bar sedimentological features. This study investigates how high peak discharge variability affects the sedimentology and architecture of point‐bar deposits along the meandering Powder River in south‐eastern Montana, USA. The analysis integrates detailed sedimentological data from trenches and natural exposures at four point bars where century‐long discharge records and more than four decades of geomorphic surveys are available. Sedimentological data reveals substantial deviations from classical facies models. Coarsening‐upward and blocky vertical grain‐size trends are common, in contrast with the classic fining‐upward model. Upper‐flow regime structures are abundant features that record rapid waning of high‐magnitude floods, whereas lateral accretion surfaces matching the original extent of bar slopes are rare due to frequent bar slope reworking. Chute channels are large, occupying significant portions of the bar area, with complex internal architectures of coarse‐grained upper‐flow regime deposits that further obscure lateral accretion geometries of the hosting bar. Oxidized mud layers suggest prolonged sub‐aerial exposure of most of the bar slope between floods. Results from this study challenge assumptions of classical point‐bar models and provide new criteria for recognizing ancient deposits of meandering rivers with high peak discharge variability, with implications for palaeohydrological reconstructions, understanding pre‐vegetation fluvial dynamics and interpreting deposits on other planetary bodies. This new evidence accounts for hydrological modulation effects on fluvial deposits, enabling more robust facies analysis of alluvial successions across a spectrum of discharge variability regimes.
Jurassic intercalated micrite and quartz silt lagoonal laminae: Cyclostratigraphic deposition indicative of Schwabe 11‐year solar cycles
Authors: Strasen James L. , Chafetz Henry S. 
Published: January 2025

ABSTRACTA 4 m thick deposit of intercalated thin micrite and silt‐sized quartz couplets is present within the Middle Jurassic Hulett Member of the Sundance Formation in Wyoming, USA. These deposits accumulated in a hyperarid restricted lagoon. The thicknesses of over 1300 couplets were measured, and each couplet has been interpreted as representing an annual deposit, i.e. a varve. Fast Fourier transform analyses identified an 11‐year periodicity in thicknesses of the laminations. This 11‐year occurrence of thicker laminae coincides with the pattern of the 11‐year Schwabe sunspot cycles. A minor number of deviations from this pattern were noted, possibly resulting from factors such as local climate variability, erosion and non‐cyclical or episodic depositional events. Based on the measurements and numbers of laminae couplets, it took marginally more than 7000 years for the infilling of the Jurassic lagoon, indicating a fairly rapid rate of accumulation. The findings demonstrate the significant impact of solar cycles on depositional periodicity and their influence on these thinly laminated strata, i.e. accumulation of a cyclostratigraphic depositional pattern.
Generating Virtual Bone Scans for the Purpose of Investigating the Effects of Cortical Microstructure
Authors: Toth Zachary B. , Gargac Joshua A. 
Published: January 2025

Abstract
Evaluating the contribution of microstructure to overall bone strength is tricky since it is difficult to control changes to pore structure in human or animal samples. We developed an open-source program that can generate three-dimensional (3D) models of micron-scale cortical bone. These models can be highly customized with a wide array of variable input parameters to allow for generation of samples similar to micro-computed topography scans of cortical bone or with specific geometric features. The program can generate samples with specific desired porosities and minor deviations in pore diameter from human samples: 1.67% (±4.90) using literature values, and 1.36% (±2.39) with optimized values. When coupled with finite element analysis, this open-source program could be a useful tool for evaluating stress distributions caused by microstructural changes.
Estimation of Discretization Errors in Viscous Flow Simulations Based on the RANS Equations: Wall-Resolved Versus Wall-Functions
Authors: Eça L. , Kerkvliet M. , Toxopeus S. L. 
Published: January 2025

Abstract
In the present paper, we focus on the simulation of viscous flows at high Reynolds numbers using the Reynolds-averaged Navier–Stokes (RANS) equations. Time-averaging is used to define the mean flow properties and only deterministic simulations are considered. Therefore, numerical errors are a consequence of round-off, iterative and discretization errors. In carefully performed simulations, round-off and iterative errors are reduced to negligible levels when compared to the discretization error and so the numerical error is dominated by the contribution of the discretization error. The use of grid refinement studies is one of the most flexible and popular techniques for the estimation of discretization errors for steady simulations. Several methods have been proposed in the open literature and most of them share common features. The discretization error of a quantity of interest is described as a function of the typical cell size by power series expansions. The estimation of the exact solution requires numerical solutions in more than one grid and so a family of (nearly) geometrical similar grids needs to be generated. The requirement of grid similarity is a consequence of the definition of the typical cell size. In the numerical solution of the RANS equations, the determination of the shear-stress at the wall τw can be performed in two alternative ways: directly from its definition, or using wall functions. The grid refinement strategy required by each case is significantly different. In the first option, the near-wall cell must be systematically refined as all the remaining grid cells. When wall functions are used, the size of the near-wall cell size should remain fixed. In this paper, we present the consequences of using the wrong refinement strategy, i.e., by keeping the size of the near-wall cell fixed when τw is calculated from its definition and by refining the near-wall cell when τw is determined from wall functions. The selected test case is the flow over a flat plate at Reynolds numbers of 107 and 109. The results show that using the wrong grid refinement strategy can lead to misleading results that exhibit reasonable orders of grid convergence.
The influence of environmental factors on the detection and quantification of SARS-CoV-2 variants in dormitory wastewater at a primarily undergraduate institution
Authors: Brooks Chequita , Brooks Sebrina , Beasley Josie , Valley Jenna , Opata Michael , Karatan Ece , Bleich Rachel 
Published: January 2025

ABSTRACT

Testing for the causative agent of coronavirus disease 2019 (COVID-19), severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has been crucial in tracking disease spread and informing public health decisions. Wastewater-based epidemiology has helped to alleviate some of the strain of testing through broader, population-level surveillance, and has been applied widely on college campuses. However, questions remain about the impact of various sampling methods, target types, environmental factors, and infrastructure variables on SARS-CoV-2 detection. Here, we present a data set of over 800 wastewater samples that sheds light on the influence of a variety of these factors on SARS-CoV-2 quantification using droplet digital PCR (ddPCR) from building-specific sewage infrastructure. We consistently quantified a significantly higher number of copies of virus per liter for the target nucleocapsid 2 (N2) compared to nucleocapsid 1 (N1), regardless of the sampling method (grab vs composite). We further show some dormitory-specific differences in SARS-CoV-2 abundance, including correlations to dormitory population size. Environmental variables like precipitation and temperature show little to no impact on virus load, with the exception of higher temperatures for grab sample data. We observed significantly higher gene copy numbers of the Omicron variant than the Delta variant within ductile iron pipes but no difference in nucleocapsid abundance (N1 or N2) across the three different sewage pipe types in our data set. Our results indicate that contextual variables should be considered when interpreting wastewater-based epidemiological data.

IMPORTANCE
Testing for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of coronavirus disease 2019 (COVID-19), has been crucial in tracking the spread of the virus and informing public health decisions. SARS-CoV-2 viral RNA is shed by symptomatic and asymptomatic infected individuals, allowing its genetic material to be detected and quantified in wastewater. Here, we used wastewater-based epidemiology to measure SARS-CoV-2 viral RNA from several dormitories on the Appalachian State University campus and examined the impact of sampling methods, target types, environmental factors, and infrastructure variables on quantification. Changes in the quantification of SARS-CoV-2 were observed based on target type, as well as trends for the quantification of the Delta and Omicron variants by sampling method. These results highlight the value of applying the data-inquiry practices used in this study to better contextualize wastewater sampling results.
Cognitive impairment in PSP compared with PD: assessment by clinical subtype and longitudinal change
Authors: Tsuboi Takeharu , Tatsumi Hiroshi , Kobayasi Kosuke , Hashimoto Rina , Aiba Ikuko 
Published: January 2025

BackgroundLongitudinal studies investigating cognitive function changes in patients with progressive supranuclear palsy (PSP) are limited. The variability of cognitive impairment across clinical subtypes of PSP remains unclear.ObjectiveThis study aimed to compare the longitudinal changes in cognitive function between patients with PSP and Parkinson’s disease (PD) and to assess differences in cognitive impairment among PSP subtypes.MethodsA retrospective observational study was conducted using neuropsychological testing data from patients with PSP and PD admitted to our hospital.ResultsThe study included 38 patients with PD and 41 patients with PSP (23 PSP-Richardson’s syndrome, 14 PSP-progressive gait freezing (PSP-PGF), 3 PSP-Parkinsonism and 1 PSP-predominant corticobasal syndrome). At baseline, cognitive function was significantly lower in the PSP group than in the PD group. Over 12 months, patients with PSP exhibited significant declines in multiple cognitive domains, whereas no significant changes were observed in the PD group. Among PSP subtypes, PSP-RS showed a faster rate of cognitive decline than PD, while PSP-PGF demonstrated a lower progression than PSP-RS.ConclusionPSP is associated with progressive cognitive impairment, with rates of decline varying by subtype. PSP-PGF exhibited a slower progression than PSP-RS. Clinical management should consider subtype-specific differences in cognitive prognosis to tailor treatment and care.
Identifying high-impact-opportunity hospitals for improving healthcare quality based on a national population analysis of inter-hospital variation in mortality, readmissions and prolonged length of stay
Authors: Van Wilder Astrid , Bruyneel Luk , Cox Bianca , Claessens Fien , De Ridder Dirk , Vanhaecht Kris 
Published: January 2025

ObjectivesTo study between-hospital variation in mortality, readmissions and prolonged length of stay across Belgian hospitals.DesignA retrospective nationwide observational study.SettingSecondary and tertiary acute-care hospitals in Belgium.ParticipantsWe studied 4 560 993 hospital stays in 99 (98%) Belgian acute-care hospitals between 2016 and 2018.Primary outcome measuresUsing generalised linear mixed models, we calculated hospital-specific and Major Diagnostic Category (MDC)-specific risk-adjusted in-hospital mortality, readmissions within 30 days and length of stay above the MDC-specific 90th percentile and assessed between-hospital variation through estimated variance components.ResultsThere was strong evidence of between-hospital variation in mortality, readmissions and prolonged length of stay across the vast majority of patient service lines. Overall, should hospitals with upper-quartile risk-standardised rates succeed in improving to the median level, a yearly 4076 hospital deaths, 3671 readmissions and 15 787 long patient stays could potentially be avoided in those hospitals. Our analysis revealed a select set of ‘high-impact-opportunity hospitals’ characterised by poor performance across outcomes and across a large number of MDCs.ConclusionsAnalysis of between-hospital variation highlights important differences in patient outcomes that are not explained by known patient or hospital characteristics. Identifying ‘high-impact-opportunity hospitals’ can help government inspection bodies and hospital managers to establish targeted audits and inspections to generate effective quality improvement initiatives.
Analysis of influencing factors of narrative medicine competence in the clinical nursing population in Hunan province, China: a cross-sectional study
Authors: Yang Chao , Su Wanying , Qiu Hailing , Pan Yingyan , Qi Qiong , Zhang Siqi , Yin Hao 
Published: January 2025

ObjectiveTo explore the current status of clinical nurses’ narrative medicine (NM) ability and its related influencing factors, so as to provide a theoretical basis for nursing managers to develop targeted nurse training programmes.DesignA cross-sectional study.SettingA total of 1792 clinical nurses from eight medical institutions in Hunan province were selected as participants using convenience sampling.Main outcome measuresOnline questionnaires were employed to collect general data, NM competence scores, empathy ability scores and personality trait scores from the participants.ParticipantsA total of 1820 questionnaires were collected, with 28 deemed invalid due to contradictory responses. The final dataset included 1792 valid questionnaires, resulting in a valid recovery rate of 98.5%.ResultsThe total NM competence score averaged at 153.37±18.34. Marital status, having children, hospital grade, empathy ability score and challenges faced in carrying out NM were identified as influential factors through multiple linear regression (p<0.01). These factors collectively explained 71.9% of the total variation in the NM competence of clinical nurses.ConclusionClinical nurses in this study demonstrate an intermediate level of NM competence. Marital status, having children, hospital grade, empathy ability score and challenges in carrying out NM emerge as the primary factors affecting NM competence among nurses. The findings suggest that nursing managers should implement targeted measures to improve the NM competence of clinical nurses, thereby fostering their professional growth.