bluuebunny/crossref_metadata_2025_split huggingface dataset:
Learning Collaboratives: a Strategy for Quality Improvement and Implementation in Behavioral Health
Authors: Gotham Heather J. , Paris Manuel , Hoge Michael A. 
Published: December 2022

AbstractLearning collaboratives are increasingly used in behavioral health. They generally involve bringing together teams from different organizations and using experts to educate and coach the teams in quality improvement, implementing evidence-based practices, and measuring the effects. Although learning collaboratives have demonstrated some effectiveness in general health care, the evidence is less clear in behavioral health and more rigorous studies are needed. Learning collaboratives may contain a range of elements, and which elements are included in any one learning collaborative varies widely; the unique contribution of each element has not been established. This commentary seeks to clarify the concept of a learning collaborative, highlight its common elements, review evidence of its effectiveness, identify its application in behavioral health, and highlight recommendations to guide technical assistance purveyors and behavioral health providers as they employ learning collaboratives to improve behavioral health access and quality.
Nonlinear relationships in bankruptcy prediction and their effect on the profitability of bankruptcy prediction models
Authors: Lohmann Christian , Möllenhoff Steffen , Ohliger Thorsten 
Published: December 2022

AbstractThis study uses generalized additive models to identify and analyze nonlinear relationships between accounting-based and market-based independent variables and how these affect bankruptcy predictions. Specifically, it examines the independent variables that Altman (J Financ 23:589–609, 1968; Predicting financial distress of companies. Revisiting the Z-score and ZETA® models. Working paper, 2000) and Campbell et al. (J Financ 63:2899–2939, 2008) used and analyzes what specific form these nonlinear relationships take. Drawing on comprehensive data on listed U.S. companies, we show empirically that the bankruptcy prediction is influenced by statistically and economically relevant nonlinear relationships. Our results indicate that taking into account these nonlinear relationships improves significantly several statistical validity measures. We also use a validity measure that is based on the profitability of the bankruptcy prediction models in the context of credit scoring. The findings demonstrate that taking into account nonlinear relationships can substantially increase the discriminatory power of bankruptcy prediction models.
Role of modified hydration for preventing contrast-associated acute kidney injury in patients with ST-segment elevation myocardial infarction after primary percutaneous coronary intervention
Authors: Liu Lei , Zhou Li , Li Weiping , Chen Hui , Li Hongwei 
Published: December 2022

AbstractTo assess the efficacy of modified hydration on contrast-associated acute kidney injury (CA-AKI) in ST-segment elevation myocardial infarction (STEMI) after primary percutaneous coronary intervention (pPCI). A total of 438 patients were randomly assigned to 2 groups. The traditional hydration group (group I) was given at a rate of 1 ml/kg/h for 24 h, and the modified hydration group (group II) was given at a rate of 3 ml/kg/h in the first 4 h, and then reduced to 1 ml/kg/h for 12 h. 0.3 mg/kg of furosemide was given 1-h after hydration. The primary endpoint was the incidence of CA-AKI, and the secondary endpoint was the incidence of major adverse cardiovascular events (MACEs) during a median of 22.4 months (IQR 9.6, 32.6 months) follow-up. The incidence of CA-AKI was 8.7%. Among these, Group I was 9.1% and group II was 8.2%, respectively. There was no significant difference in CA-AKI and creatinine levels between the two hydration groups. Multivariable logistics regression analysis revealed that creatinine, white blood cells, and N-terminal pro-B-type natriuretic peptide were associated with CA-AKI. Moreover, CA-AKI was an independent predictor for all-cause death and cardiac death during the follow-up period. The modified hydration may reduce the incidence of CA-AKI, although this difference was not statistically significant. The relationship between CA-AKI and mortality strengthened as creatinine times above baseline increased. Mitigating the occurrence of CA-AKI may reduce all-cause death and cardiac death.
One-bath one-dye class dyeing of polyester/cotton blend fabric with disperse dye after esterification of cotton fabric
Authors: Tegegne Worku , Tesfaye Tamrat , Zeleke Yirdawu , Ketema Gezu 
Published: December 2022

AbstractMost often, reactive and disperse dyes are utilized separately in two- bath two-step dyeing method to dye polyester-cotton blend fabric. The cost of this conventional dyeing method is very expensive; energy and chemical usage is also quite higher in addition to this, the dyeing cycle is complex as compared to one-bath two-step dyeing methods or single-bath single-step dyeing methods. The single-bath single-step dyeing procedure with a single type of dye class was studied in this research. Following surface treatment of cotton through esterification procedures, polyester-cotton blend fabric dyed in single-bath single-step dyeing processes with disperse dye was examined. The association between time and the percentage of esterification was investigated at room temperature. Varying dye concentrations and dyeing temperatures were utilized to dye surface-treated p/c blend fabric in an HTHP dyeing machine. The color strength of dyed material and their fastness properties and the Surface chemistry by using FTIR were evaluated. The influence of dye concentration and temperature on color strength was investigated. With a 15% esterifying agent concentration and a reaction period of 2.5 h, the optimum value for surface modification was obtained, yielding a percent esterification of 34.95. The optimal value was attained with a dye concentration above 1% at a temperature of 120 °C, according to the dyeing experiment results. The findings of this study revealed that when compared to conventional two-bath dyed fabric, one-step one-bath dyed modified polyester/cotton blend with Disperse dye fabric has good wash fastness, and color strength, and is environmentally friendly.
Using unstable data from mobile phone applications to examine recent trajectories of retail centre recovery
Authors: Ballantyne Patrick , Singleton Alex , Dolega Les 
Published: December 2022

AbstractThe COVID-19 pandemic has changed the ways in which we shop, with significant impacts on retail and consumption spaces. Yet, empirical evidence of these impacts, specifically at the national level, or focusing on latter periods of the pandemic remain notably absent. Using a large spatio-temporal mobility dataset, which exhibits significant temporal instability, we explore the recovery of retail centres from summer 2021 to 2022, considering in particular how these responses are determined by the functional and structural characteristics of retail centres and their regional geography. Our findings provide important empirical evidence of the multidimensionality of retail centre recovery, highlighting in particular the importance of composition, e-resilience and catchment deprivation in determining such trajectories, and identifying key retail centre functions and regions that appear to be recovering faster than others. In addition, we present a use case for mobility data that exhibits temporal stability, highlighting the benefits of viewing mobility data as a series of snapshots rather than a complete time series. It is our view that such data, when controlling for temporal stability, can provide a useful way to monitor the economic performance of retail centres over time, providing evidence that can inform policy decisions, and support interventions to both acute and longer-term issues in the retail sector.
Outbreak of Paratyphoid Fever Caused by Contaminated Street-Vended Food at Qingyang Town, China, 2016
Authors: Zhang Qi , Sha Dan , Chen Yujun , Yao Jianxiang , Gao Yumeng , Liu Juan , Ji Lin , Shi Ping , Shi Chao 
Published: December 2022

Abstract
In 2016, an outbreak of paratyphoid fever occurred in 40 cases at Qingyang town, in China. A case-control study was carried out to determine the source of this outbreak. Case-control study was conducted to identify the risk factors of this outbreak. The cases were identified as patients with isolation of S. Paratyphi, controls were confirmed cases’ healthy classmates, colleagues or neighbors and matched by age (±5 y) and gender. Pulsed-field gel electrophoresis was performed to source tracking. Totally, 40 cases were reported: 24 cases were students, and 20 (20/24) of them were Qingyang High School students. For the case-control study, consuming Chinese egg pancakes was detected as a risk factor (OR1:1 = 5.000; 95% CI: 1.710-14.640), and hand-washing before meals was protective behavior compared with seldom hand-washing (OR1:1 = 23.256; 95% CI: 2.451-200.000). S. Paratyphi was cultured from a well water sample used for washing contents of the pancakes. Isolates from well water and paratyphoid cases showed the same PFGE patterns. Contaminated well water and Chinese egg pancakes were likely source and vehicle of this outbreak. Health education, especially handwashing, and food safety supervision should be promoted particularly in schools.
Embodied cultural property: Contemporary and traditional dance practices
Authors: Whatley Sarah 
Published: December 2022

AbstractThis article discusses the implications of recording and digitizing a variety of cultural and contemporary dance performance practices, core to a European project known as WhoLoDancE, which focused on issues of reuse, ownership, property, and responsibility. The recordings and subsequent processing of dance material into digital data raised questions about the responsibilities to the dancers who have contributed their material to the project, particularly when it is transformed into data visualizations that can be accessed and reused by others. The article not only focuses on how value accrues in these kinds of resources and sometimes in unexpected ways but also draws attention to how dance remains bound to the communities in which it is performed and tends to resist its abstraction from the body to be commodified as a form of cultural property. This then points to how dance, as intangible cultural heritage, is self-regulating in terms of principles of ownership and attribution.
Potential factors influencing COVID-19 vaccine acceptance and hesitancy among university students in Bangladesh: a cross-sectional comparative study
Authors: Roy Debendra Nath , Azam Md. Shah , Biswas Mohitosh , Islam Ekramul 
Published: December 2022

Abstract
This study investigated Coronavirus disease 2019 (COVID-19) vaccine acceptance, and compared the potential factors influencing vaccine acceptance and hesitancy between public university (PuU) and private university (PrU) students in Bangladesh. An anonymous, self-administered questionnaire was sent to 640 PuU and 660 PrU students in Google Form between 25th September and 22nd November 2021, which resulted in the participation of 1034 (461 PuU vs. 573 PrU) respondents (response rate: 72.03% vs. 86.81%). The pooled vaccine acceptance rates among PuU and PrU students were almost similar (88.1%, 95% confidence interval (CI) 85.1–91.1 vs. 87.6%, 95% CI 84.6–90.6). Employing binary logistic regression to assess the association between various potential factors and vaccine acceptance, the study revealed that out of 10 predictors, ‘safety’ and ‘efficacy’ had highly significant positive associations with vaccine acceptance in both cohorts (P = 0.000, P = 0.005). ‘Political roles’ was found to have varied effects– a significant (P = 0.02) negative and a significant positive (P = 0.002) association with vaccine acceptance in PuU and PrU students, respectively. Additionally, ‘communication’ (P = 0.003) and ‘trust’ (P = 0.01) were found to have significant positive associations in PrU students while ‘rumours’ (P = 0.03) had negative association in PuU students. The odds of accepting the COVID-19 vaccine were 1.5 vs. 0.9 in PuU and PrU students. Although chi-square analysis did not show any significant association between gender and vaccine acceptance, discrepancies were found in the factors that potentially affect vaccine uptake decision between PuU and PrU students. COVID-19 vaccine uptake may be improved if vaccine-related information becomes available and is communicated to large numbers of people effectively. The implementation of multidisciplinary interventional educational programmes may also be considered as a preferred approach to improve student's engagement in pandemic awareness and vaccine readiness.
The treatment of PTSD in refugees and asylum seekers using imagery rescripting within an NHS setting
Authors: Steel Craig , Young Kerry , Akbar Sameena , Chessell Zoe , Stevens Adele , Vann Millay , Arntz Arnoud 
Published: December 2022

AbstractBackground:Refugees and asylum seekers present with high levels of post-traumatic stress disorder (PTSD), whilst little research has been conducted to assess the effectiveness or acceptability of psychological interventions for this group. Imagery rescripting is effective in reducing distressing intrusive memories within a range of conditions. The current study evaluates this approach for the treatment of PTSD in refugees and asylum seekers within a UK NHS service.Aims:To evaluate the clinical outcomes of using imagery rescripting for the treatment of PTSD in UK-based refugees and asylum seekers.Method:Ten adult service-users from an NHS specialist service with a primary diagnosis of PTSD were recruited as part of routine service delivery. A multiple baseline design was used with participants randomly allocated to a baseline varying from 5 to 9 weeks. A baseline wait-period was followed by up to five sessions of psychoeducation and treatment preparation, in turn followed by up to 10 sessions of imagery rescripting. The Post-traumatic Symptom Scale (PSS) and Physical Health Questionnaire-9 (PHQ-9) were collected every week during baseline, at end of treatment and weekly for 5 weeks after treatment, and again at 12-week follow-up. Data were analysed with mixed regression.Results:Results indicate a significant improvement both in PTSD symptoms and mood, and that this was attributable to the imagery rescripting phase of the intervention, and not the passage of time or non-specific therapy factors.Conclusions:Evidence indicates imagery rescripting to be a safe and effective treatment choice for PTSD in refugees and asylum seekers.
A Method for Imaging Energetic Particle Precipitation With Subionospheric VLF Signals
Authors: Gasdia Forrest , Marshall Robert A. 
Published: December 2022

AbstractEnergetic particle precipitation (EPP) is a key loss mechanism for radiation belt particles. Quantification of the precipitation loss rate feeds into the electron lifetimes used by radiation belt models and is needed to improve understanding of radiation belt dynamics. EPP deposits most of its energy in the D‐region ionosphere, a layer so weakly ionized that it is not observed using standard ionosphere measurement techniques. However, very low frequency (VLF) radio signals propagate great distances because of the naturally occurring waveguide formed by Earth’s surface and the D‐region. If the ground conductivity is known along the propagation path to a receiver, then the amplitude and phase of a VLF transmitter signal can be used to infer the average conductivity of the D‐region ionosphere. This article simulates the propagation of narrowband VLF signals through realistic ionosphere profiles enhanced by EPP. By using a distributed array of VLF receivers, the observations can be simultaneously inverted to estimate the spatial extent of a precipitation patch. These images of the ionosphere are generated using the local ensemble transform Kalman filter. We demonstrate this method with several simulated observation experiments, including four EPP events. Precipitation patches are identified in daytime, but accurate estimation of nighttime ionospheres remains a challenge.
Mortality Attributable to Ambient Air Pollution: A Review of Global Estimates
Authors: Pozzer A. , Anenberg S. C. , Dey S. , Haines A. , Lelieveld J. , Chowdhury S. 
Published: December 2022

AbstractSince the publication of the first epidemiological study to establish the connection between long‐term exposure to atmospheric pollution and effects on human health, major efforts have been dedicated to estimate the attributable mortality burden, especially in the context of the Global Burden of Disease (GBD). In this work, we review the estimates of excess mortality attributable to outdoor air pollution at the global scale, by comparing studies available in the literature. We find large differences between the estimates, which are related to the exposure response functions as well as the number of health outcomes included in the calculations, aspects where further improvements are necessary. Furthermore, we show that despite the considerable advancements in our understanding of health impacts of air pollution and the consequent improvement in the accuracy of the global estimates, their precision has not increased in the last decades. We offer recommendations for future measurements and research directions, which will help to improve our understanding and quantification of air pollution‐health relationships.
Simulation of a Future SLR Satellite to Improve Low‐Degree Gravity Estimates
Authors: Tucker E. S. , Nerem R. S. , Loomis B. D. 
Published: December 2022

AbstractThe Gravity Recovery and Climate Experiment (GRACE; 2002–2017) and GRACE Follow‐On (2018‐present) have observed Earth's monthly mass change with unprecedented spatial resolution. These missions have long relied on satellite laser ranging (SLR) measurements to replace the C2,0 coefficient, which GRACE recovers poorly. Recent work has also shown the need for SLR‐determined C3,0 when GRACE operates with a single accelerometer. However, it was not until the 2012 launch of the Laser Relativity Satellite that the SLR data gained the sensitivity to recover C3,0 accurately. These low‐degree gravity coefficients represent large‐scale mass transport and small changes in their values have implications for ice sheet, ocean mass, and water storage estimates. To fully exploit SLR's utility for time‐variable gravity (TVG), future satellite orbits should be selected to maximize their sensitivity to the gravity field. In this work, we present results from a simulation study of a hypothetical SLR satellite in which we generate 1 year of data to satellites placed across varying inclinations. We also simulate seven current SLR satellites to show realistic improvements from the new satellite. When compared to the known truth input, a low‐inclination satellite (<∼ 45°) most improves the low‐degree gravity terms, especially the even zonals which show a significant decorrelation. From this, we investigate recovery of the annual variability in the simulated signal and find recovery of the sine component improves by up to 41%. This has important implications when considering future SLR satellites in the context of TVG.
A Quantitative Comparison of High Latitude Electric Field Models During a Large Geomagnetic Storm
Authors: Orr L. , Grocott A. , Walach M.‐T. , Chisham G. , Freeman M. P. , Lam M. M. , Shore R. M. 
Published: December 2022

AbstractModels of the high‐latitude ionospheric electric field (EF) are commonly used to specify the magnetospheric forcing in thermosphere or whole atmosphere models. The use of decades‐old models based on spacecraft data is still widespread. Currently the Heelis et al. (1982, https://doi.org/10.1029/ja087ia08p06339) and Weimer (2005b, https://doi.org/10.1029/2005ja011270) climatology models are most commonly used but it is possible a more recent EF model could improve forecasting functionality. Modern EF models, derived from radar data, have been developed to incorporate advances in data availability (Bristow et al., 2022, https://doi.org/10.1029/2021sw002920; Thomas & Shepherd, 2018, https://doi.org/10.1002/2018ja025280; Walach et al., 2022, https://doi.org/10.1029/2021ja029559). It is expected that climatologies based on this larger and up‐to‐date data set will better represent the high latitude ionosphere and improve forecasting abilities. An example of two such models, which have been developed using line‐of‐sight velocity measurements from the Super Dual Auroral Radar Network (SuperDARN) are the Thomas and Shepherd model (TS18) (Thomas & Shepherd, 2018, https://doi.org/10.1002/2018ja025280), and Walach and Grocott geomagnetic Storm model (WGS21) (Walach et al., 2021, https://doi.org/10.1029/2020ja028512). Here we compare the outputs of these EF models during the September 2017 storm, covering a range of solar wind and interplanetary magnetic field (IMF) conditions. We explore the relationships between the IMF conditions and the model output parameters such as transpolar voltage, the polar cap size and the lower latitude boundary of convection. We find that the electric potential and field parameters from the spacecraft‐based models have a significantly higher magnitude than the SuperDARN‐based models. We discuss the similarities and differences in topology and magnitude for each model.
Benchmarking brain organoid recapitulation of fetal corticogenesis
Authors: Cheroni Cristina , Trattaro Sebastiano , Caporale Nicolò , López-Tobón Alejandro , Tenderini Erika , Sebastiani Sara , Troglio Flavia , Gabriele Michele , Bressan Raul Bardini , Pollard Steven M. , Gibson William T. , Testa Giuseppe 
Published: December 2022

AbstractBrain organoids are becoming increasingly relevant to dissect the molecular mechanisms underlying psychiatric and neurological conditions. The in vitro recapitulation of key features of human brain development affords the unique opportunity of investigating the developmental antecedents of neuropsychiatric conditions in the context of the actual patients’ genetic backgrounds. Specifically, multiple strategies of brain organoid (BO) differentiation have enabled the investigation of human cerebral corticogenesis in vitro with increasing accuracy. However, the field lacks a systematic investigation of how closely the gene co-expression patterns seen in cultured BO from different protocols match those observed in fetal cortex, a paramount information for ensuring the sensitivity and accuracy of modeling disease trajectories. Here we benchmark BO against fetal corticogenesis by integrating transcriptomes from in-house differentiated cortical BO (CBO), other BO systems, human fetal brain samples processed in-house, and prenatal cortices from the BrainSpan Atlas. We identified co-expression patterns and prioritized hubs of human corticogenesis and CBO differentiation, highlighting both well-preserved and discordant trends across BO protocols. We evaluated the relevance of identified gene modules for neurodevelopmental disorders and psychiatric conditions finding significant enrichment of disease risk genes especially in modules related to neuronal maturation and synapsis development. The longitudinal transcriptomic analysis of CBO revealed a two-step differentiation composed of a fast-evolving phase, corresponding to the appearance of the main cell populations of the cortex, followed by a slow-evolving one characterized by milder transcriptional changes. Finally, we observed heterochronicity of differentiation across BO models compared to fetal cortex. Our approach provides a framework to directly compare the extent of in vivo/in vitro alignment of neurodevelopmentally relevant processes and their attending temporalities, structured as a resource to query for modeling human corticogenesis and the neuropsychiatric outcomes of its alterations.