bluuebunny/crossref_metadata_2025_split huggingface dataset:
Do patients’ preferences prevail in hospital selection?: a comparison between discrete choice experiments and revealed hospital choice
Authors: Salampessy Benjamin H. , Ikkersheim David , Portrait France R. M. , Koolman Xander 
Published: September 2022

Abstract
Background
In patient choice, patients are expected to select the provider that best fits their preferences. In this study, we assess to what extent the hospital choice of patients in practice corresponds with their preferred choice.

Methods
Dutch patients with breast cancer (n = 631) and cataract (n = 1109) were recruited. We employed a discrete choice experiment (DCE) per condition to measure stated preferences and predict the distribution of patients across four hospitals. Each DCE included five attributes: patient experiences, a clinical outcome indicator, waiting time, travel distance and whether the hospital had been recommended (e.g., by the General Practitioner (GP)). Revealed choices were derived from claims data.

Results
Hospital quality was valued as most important in the DCE; the largest marginal rates of substitution (willingness to wait) were observed for the clinical outcome indicator (breast cancer: 38.6 days (95% confidence interval (95%CI): 32.9–44.2); cataract: 210.5 days (95%CI: 140.8–280.2)). In practice, it was of lesser importance. In revealed choices, travel distance became the most important attribute; it accounted for 85.5% (breast cancer) and 95.5% (cataract) of the log-likelihood. The predicted distribution of patients differed from that observed in practice in terms of absolute value and, for breast cancer, also in relative order. Similar results were observed in population weighted analyses.

Discussion
Study findings show that patients highly valued quality information in the choice for a hospital. However, in practice these preferences did not prevail. Our findings suggest that GPs played a major role and that patients mostly ended up selecting the nearest hospital.
Social service providers’ perspectives on caring for structurally vulnerable hospital patients who use drugs: a qualitative study
Authors: Gehring Nicole D. , Speed Kelsey A. , Dong Kathryn , Pauly Bernie , Salvalaggio Ginetta , Hyshka Elaine 
Published: September 2022

Abstract
Background
People who use drugs and are structurally vulnerable (e.g., experiencing unstable and/or lack of housing) frequently access acute care. However, acute care systems and providers may not be able to effectively address social needs during hospitalization. Our objectives were to: 1) explore social service providers’ perspectives on addressing social needs for this patient population; and 2) identify what possible strategies social service providers suggest for improving patient care.

Methods
We completed 18 semi-structured interviews with social service providers (e.g., social workers, transition coordinators, peer support workers) at a large, urban acute care hospital in Western Canada between August 8, 2018 and January 24, 2019. Interviews explored staff experiences providing social services to structurally vulnerable patients who use drugs, as well as continuity between hospital and community social services. We conducted latent content analysis and organized our findings in relation to the socioecological model.

Results
Tensions emerged on how participants viewed patient-level barriers to addressing social needs. Some providers blamed poor outcomes on perceived patient deficits, while others emphasized structural factors that impede patients’ ability to secure social services. Within the hospital, some participants felt that acute care was not an appropriate location to address social needs, but most felt that hospitalization affords a unique opportunity to build relationships with structurally vulnerable patients. Participants described how a lack of housing and financial supports for people who use drugs in the community limited successful social service provision in acute care. They identified potential policy solutions, such as establishing housing supports that concurrently address medical, income, and substance use needs.

Conclusions
Broad policy changes are required to improve care for structurally vulnerable patients who use drugs, including: 1) ending acute care’s ambivalence towards social services; 2) addressing multi-level gaps in housing and financial support; 3) implementing hospital-based Housing First teams; and, 4) offering sub-acute care with integrated substance use management.
Rapid detection of bovine rotavirus a by isothermal reverse transcription recombinase polymerase amplification assays
Authors: Liu Yuelin , Liu Libing , Wang Jinfeng , Sun Xiaoxia , Gao Yaxin , Yuan Wanzhe , Wang Jianchang , Li Ruiwen 
Published: September 2022

Abstract
Background
Bovine rotavirus A (BRVA) is considered to be the most common pathogen of severe diarrhea in cattle worldwide, which could lead to the death of newborn calves and cause the significant economic losses to the cattle industry. As a novel isothermal nucleic acid amplification technique, recombinase polymerase amplification (RPA) has been applied widely for the rapid detection of different important pathogens in human and animals.

Results
An RT-RPA assay based on the real time fluorescence monitoring (real-time RT-RPA) and an RT-RPA assay combined with a lateral flow strip (LFS RT-RPA) were successfully developed by targeting the VP6 gene of BRVA. The RT-RPA assays allowed the exponential amplification of the target fragment in 20 min. After incubation of the LFS RT-RPA on a metal bath at 40 °C, the results were displayed on the lateral flow strip within 5 min, while real-time RT-RPA allowed the real-time observation of the results in Genie III at 42 °C. Both of the two assays showed high specificity for BRVA without any cross-reaction with the other tested pathogens causing diarrhea in cattle. With the standard RNA of BRVA serving as a template, the limit of detection for real-time RT-RPA and LFS RT-RPA were 1.4 × 102 copies per reaction and 1.4 × 101 copies per reaction, respectively. In the 134 fecal samples collected from cattle with diarrhea, the BRVA positive rate were 45.52% (61/134) and 46.27% (62/134) in real-time RT-RPA and LFS RT-RPA, respectively. Compared to a previously published real-time PCR, the real-time RT-RPA and LFS RT-RPA showed a diagnostic specificity of 100%, diagnostic sensitivity of 98.39% and 100%, and a kappa coefficient of 0.985 and 1.0, respectively.

Conclusions
In this study, BRVA was successfully detected in cattle fecal samples by the developed real-time RT-RPA and LFS RT-RPA assays. The developed RT-RPA assays had great potential for the rapid detection of BRVA in under-equipped diagnostic laboratory and the point-of-need diagnosis at quarantine stations and farms, which is of great importance to control BRVA-associated diarrhea in cattle herds.
The regulatory role of AP-2β in monoaminergic neurotransmitter systems: insights on its signalling pathway, linked disorders and theragnostic potential
Authors: Al-Sabri Mohamed H. , Nikpour Maryam , Clemensson Laura E. , Attwood Misty M. , Williams Michael J. , Rask-Anderson Mathias , Mwinyi Jessica , Schiöth Helgi B. 
Published: September 2022

AbstractMonoaminergic neurotransmitter systems play a central role in neuronal function and behaviour. Dysregulation of these systems gives rise to neuropsychiatric and neurodegenerative disorders with high prevalence and societal burden, collectively termed monoamine neurotransmitter disorders (MNDs). Despite extensive research, the transcriptional regulation of monoaminergic neurotransmitter systems is not fully explored. Interestingly, certain drugs that act on these systems have been shown to modulate central levels of the transcription factor AP-2 beta (AP-2β, gene: TFAP2Β). AP-2β regulates multiple key genes within these systems and thereby its levels correlate with monoamine neurotransmitters measures; yet, its signalling pathways are not well understood. Moreover, although dysregulation of TFAP2Β has been associated with MNDs, the underlying mechanisms for these associations remain elusive. In this context, this review addresses AP-2β, considering its basic structural aspects, regulation and signalling pathways in the controlling of monoaminergic neurotransmitter systems, and possible mechanisms underpinning associated MNDS. It also underscores the significance of AP-2β as a potential diagnostic biomarker and its potential and limitations as a therapeutic target for specific MNDs as well as possible pharmaceutical interventions for targeting it. In essence, this review emphasizes the role of AP-2β as a key regulator of the monoaminergic neurotransmitter systems and its importance for understanding the pathogenesis and improving the management of MNDs.
Carbon emissions versus value-added in export-driven countries: case of Vietnam
Authors: Nguyen Phuong Thao 
Published: September 2022

AbstractManufacturing for export is gradually becoming the main pillar of economic growth in many developing countries, including Vietnam. Since 1986, Vietnam has adopted an open economic policy and promoted trade activities. Therefore, Vietnam’s exports have significantly increased and contributed to economic development. The benefits of exports are undeniable, but Vietnam also faces serious environmental problems caused by these activities. This paper analyzes the impact of Vietnam’s export activities on economics and the environment through comparison between carbon emissions and value-added embodied in exports using an input–output model, then provides some recommendations to adjust Vietnam's export strategy in the future. The main findings indicate that carbon dioxide emissions (CO2) embodied in exports have increased from 2006 to 2015. The carbon intensity of exports increases, while the value-added intensity decreases. As compared with production for the domestic market, production for domestic demand creates faster value-added and slower carbon emissions than production for exports. This study suggests that Vietnam should reform its export structure alongside technological improvements and other policy adjustments to curb Vietnam’s growing CO2 emissions.
Construction of the coexpression network involved in the pathogenesis of thyroid eye disease via bioinformatics analysis
Authors: Hu Jinxing , Zhou Shan , Guo Weiying 
Published: September 2022

Abstract
Background
Thyroid eye disease (TED) is the most common orbital pathology that occurs in up to 50% of patients with Graves’ disease. Herein, we aimed at discovering the possible hub genes and pathways involved in TED based on bioinformatical approaches.

Results
The GSE105149 and GSE58331 datasets were downloaded from the Gene Expression Omnibus (GEO) database and merged for identifying TED-associated modules by weighted gene coexpression network analysis (WGCNA) and local maximal quasi-clique merger (lmQCM) analysis. EdgeR was run to screen differentially expressed genes (DEGs). Transcription factor (TF), microRNA (miR) and drug prediction analyses were performed using ToppGene suite. Function enrichment analysis was used to investigate the biological function of genes. Protein–protein interaction (PPI) analysis was performed based on the intersection between the list of genes obtained by WGCNA, lmQCM and DEGs, and hub genes were identified using the MCODE plugin. Based on the overlap of 497 genes retrieved from the different approaches, a robust TED coexpression network was constructed and 11 genes (ATP6V1A, PTGES3, PSMD12, PSMA4, METAP2, DNAJA1, PSMA1, UBQLN1, CCT2, VBP1 and NAA50) were identified as hub genes. Key TFs regulating genes in the TED-associated coexpression network, including NFRKB, ZNF711, ZNF407 and MORC2, and miRs including hsa-miR-144, hsa-miR-3662, hsa-miR-12136 and hsa-miR-3646, were identified. Genes in the coexpression network were enriched in the biological processes including proteasomal protein catabolic process and proteasome-mediated ubiquitin-dependent protein catabolic process and the pathways of endocytosis and ubiquitin-mediated proteolysis. Drugs perturbing genes in the coexpression network were also predicted and included enzyme inhibitors, chlorodiphenyl and finasteride.

Conclusions
For the first time, TED-associated coexpression network was constructed and key genes and their functions, as well as TFs, miRs and drugs, were predicted. The results of the present work may be relevant in the treatment and diagnosis of TED and may boost molecular studies regarding TED.
Load forecasting for energy communities: a novel LSTM-XGBoost hybrid model based on smart meter data
Authors: Semmelmann Leo , Henni Sarah , Weinhardt Christof 
Published: September 2022

AbstractAccurate day-ahead load forecasting is an important task in smart energy communities, as it enables improved energy management and operation of flexibilities. Smart meter data from individual households within the communities can be used to improve such forecasts. In this study, we introduce a novel hybrid bi-directional LSTM-XGBoost model for energy community load forecasting that separately forecasts the general load pattern and peak loads, which are later combined to a holistic forecasting model. The hybrid model outperforms traditional energy community load forecasting based on standard load profiles as well as LSTM-based forecasts. Furthermore, we show that the accuracy of energy community day-ahead forecasts can be significantly improved by using smart meter data as additional input features.
Role of Excessive Weight Gain During Gestation in the Risk of ADHD in Offspring of Women With Gestational Diabetes
Authors: Perea Verónica , Simó-Servat Andreu , Quirós Carmen , Alonso-Carril Nuria , Valverde Maite , Urquizu Xavier , Amor Antonio J , López Eva , Barahona Maria-José 
Published: September 2022

Abstract

Context
Although attention-deficit/hyperactivity disorder (ADHD) has been associated with gestational diabetes mellitus (GDM) and maternal obesity, excessive weight gain (EWG) during pregnancy has scarcely been evaluated.

Objective
This study aimed to assess the joint effect of maternal weight and EWG on the risk of ADHD in offspring of GDM pregnancies.

Methods
In this cohort study of singleton births &gt;22 weeks of gestation of women with GDM between 1991 and 2008, gestational weight gain above the National Academy of Medicine (NAM) recommendations was classified into EWG. Cox-regression models estimated the effect of maternal pregestational weight and EWG on the risk of ADHD (identified from medical records), adjusted for pregnancy outcomes and GDM-related variables.

Results
Of 1036 children who were included, with a median follow-up of 17.7 years, 135 (13%) were diagnosed with ADHD. ADHD rates according to pregestational maternal weight were 1/14 (7.1%) for underweight, 62/546 (11.4%) for normal weight, 40/281 (14.2%) for overweight, and 32/195 (16.4%) for obesity. Only maternal obesity was independently associated with ADHD (HRadjusted 1.66 [95% CI, 1.07-2.60]), but not maternal overweight or EWG. On evaluating the joint contribution of maternal weight and EWG, maternal obesity with EWG was associated with the highest risk of ADHD (vs normal weight without EWG; HRadjusted 2.13 [95% CI, 1.14-4.01]). Pregestational obesity without EWG was no longer associated (HRadjusted 1.36 [95% CI, 0.78-2.36]).

Conclusion
Among GDM pregnancies, pregestational obesity was associated with a higher risk of ADHD in offspring. Nonetheless, when gestational weight gain was taken into account, only the joint association of obesity and EWG remained significant.
Circulating Dickkopf1 Parallels Metabolic Adaptations and Predicts Disease Trajectories in Patients With COVID-19
Authors: Jaschke Nikolai P , Funk Alexander M , Jonas Sophie , Riffel Romy M , Sinha Anupam , Wang Andrew , Pählig Sophie , Hofmann Maura , Altmann Heidi , Von Bonin Simone , Koch Thea , Spieth Peter , Tausche Kristin , Akgün Katja , Rauner Martina , Kronstein-Wiedemann Romy , Odendahl Marcus , Tonn Torsten , Göbel Andy , Hofbauer Lorenz C , Rachner Tilman D 
Published: September 2022

Abstract

Context and aims
Coronavirus disease 19 (COVID-19) trajectories show high interindividual variability, ranging from asymptomatic manifestations to fatal outcomes, the latter of which may be fueled by immunometabolic maladaptation of the host. Reliable identification of patients who are at risk of severe disease remains challenging. We hypothesized that serum concentrations of Dickkopf1 (DKK1) indicate disease outcomes in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-infected individuals.

Methods
We recruited hospitalized patients with PCR-confirmed SARS-CoV-2 infection and included 80 individuals for whom blood samples from 2 independent time points were available. DKK1 serum concentrations were measured by ELISA in paired samples. Clinical data were extracted from patient charts and correlated with DKK1 levels. Publicly available datasets were screened for changes in cellular DKK1 expression on SARS-CoV-2 infection. Plasma metabolites were profiled by nuclear magnetic resonance spectroscopy in an unbiased fashion and correlated with DKK1 data. Kaplan-Meier and Cox regression analysis were used to investigate the prognostic value of DKK1 levels in the context of COVID-19.

Results
We report that serum levels of DKK1 predict disease outcomes in patients with COVID-19. Circulating DKK1 concentrations are characterized by high interindividual variability and change as a function of time during SARS-CoV-2 infection, which is linked to platelet counts. We further find that the metabolic signature associated with SARS-CoV-2 infection resembles fasting metabolism and is mirrored by circulating DKK1 abundance. Patients with low DKK1 levels are twice as likely to die from COVID-19 than those with high levels, and DKK1 predicts mortality independent of markers of inflammation, renal function, and platelet numbers.

Conclusion
Our study suggests a potential clinical use of circulating DKK1 as a predictor of disease outcomes in patients with COVID-19. These results require validation in additional cohorts.
The High Relevance of 21-Deoxycortisol, (Androstenedione + 17α-Hydroxyprogesterone)/Cortisol, and 11-Deoxycortisol/17α-Hydroxyprogesterone for Newborn Screening of 21-Hydroxylase Deficiency
Authors: Watanabe Kazuhiro , Tsuji-Hosokawa Atsumi , Hashimoto Atsuko , Konishi Kaoru , Ishige Nobuyuki , Yajima Harumi , Sutani Akito , Nakatani Hisae , Gau Maki , Takasawa Kei , Tajima Toshihiro , Hasegawa Tomonobu , Morio Tomohiro , Kashimada Kenichi 
Published: September 2022

Abstract

Context
There are limited reports on the detailed examination of steroid profiles for setting algorithms for 21-hydroxylase deficiency (21OHD) screening by liquid chromatography–tandem mass spectrometry (LC-MS/MS).

Objective
We aimed to define an algorithm for newborn screening of 21OHD by LC-MS/MS, measuring a total of 2077 dried blood spot samples in Tokyo.

Methods
Five steroids (17α-hydroxyprogesterone [17αOHP], 21-deoxycortisol [21DOF], 11-deoxycortisol [11DOF], androstenedione [4AD], and cortisol [F]) were included in the panel of LC-MS/MS. Samples from 2 cohorts were assayed: Cohort A, 63 “screening positive” neonates who were referred to an endocrinologist (n = 26 with 21OHD; n = 37 false-positive; obtained from 2015 to 2020); and Cohort B, samples (n = 2014) with 17αOHP values in the 97th percentile or above, in the first-tier test with 17αOHP ELISA from 2020 to 2021.

Results
Analysis of Cohort A revealed that the 3 indexes 21DOF, 11DOF/17αOHP, and (4AD + 17αOHP)/F had higher area under the curve (AUC) values (0.999, 0.997, 0.989, respectively), while the 17αOHP AUC was lower (0.970). Accordingly, in addition to 17αOHP, the 3 markers were included for defining the screening algorithm. The assay of Cohort B revealed that the new algorithm gave 92% of predicted positive predictive value without false-negative cases. We also determined the reference values for the 5 steroids at 4 to 7 days after birth, according to sex and gestational age (GA), revealing extremely low levels of 21DOF at any GA irrespective of sex differences.

Conclusion
Our study demonstrated the high relevance of 21DOF, (4AD + 17αOHP)/F, and 11DOF/17αOHP, rather than 17αOHP, for 21OHD screening.
Variety and Quantity of Dietary-Insoluble Fiber Intake From Different Sources and Risk of New-Onset Diabetes
Authors: Yang Sisi , Liu Chengzhang , Ye Ziliang , Zhou Chun , Liu Mengyi , Zhang Yanjun , Wu Qimeng , Zhang Zhuxian , He Panpan , Zhang Yuanyuan , Li Huan , Qin Xianhui 
Published: September 2022

Abstract

Context
The relationship between the variety and quantity of different sources of dietary-insoluble fiber intake and diabetes remain uncertain.

Objective
We aimed to investigate the associations between the variety and quantity of insoluble fiber intake from 6 major food sources and new-onset diabetes, using data from the China Health and Nutrition Survey (CHNS).

Methods
A total of 16 272 participants without diabetes at baseline from CHNS were included. Dietary intake was measured by 3 consecutive 24-hour dietary recalls combined with a household food inventory. Energy-adjusted dietary intake was used in analyses. The variety score of insoluble-fiber sources was defined as the number of specific-sourced insoluble fiber consumed at the appropriate level, accounting for both types and quantity of insoluble fiber. Participants with self-reported physician-diagnosed diabetes, or fasting glucose greater than or equal to 7.0 mmol/L or glycated hemoglobin A1c greater than or equal to 6.5% during follow-up were defined as having new-onset diabetes.

Results
During a median follow-up of 9.0 years, 1101 participants developed new-onset diabetes. There were U-shaped associations for energy-adjusted dietary intake of total insoluble fiber, and energy-adjusted insoluble fiber derived from refined and whole grains; and L-shaped associations for energy-adjusted insoluble fiber derived from vegetables, legumes, fruits, and tubers with new-onset diabetes (all P for nonlinearity &lt; .001). Moreover, a higher variety score of insoluble fiber sources was significantly associated with a lower risk of new-onset diabetes (per 1-score increment, hazard ratio, 0.61; 95% CI, 0.58-0.65).

Conclusion
There was an inverse association between the variety of insoluble fiber with appropriate quantity from different food sources and new-onset diabetes.
HeartCV: a tool for transferrable, automated measurement of heart rate and heart rate variability in transparent animals
Authors: Ibbini Ziad , Spicer John I. , Truebano Manuela , Bishop John , Tills Oliver 
Published: September 2022

ABSTRACTHeart function is a key component of whole-organismal physiology. Bioimaging is commonly, but not exclusively, used for quantifying heart function in transparent individuals, including early developmental stages of aquatic animals, many of which are transparent. However, a central limitation of many imaging-related methods is the lack of transferability between species, life-history stages and experimental approaches. Furthermore, locating the heart in mobile individuals remains challenging. Here, we present HeartCV: an open-source Python package for automated measurement of heart rate and heart rate variability that integrates automated localization and is transferrable across a wide range of species. We demonstrate the efficacy of HeartCV by comparing its outputs with measurements made manually for a number of very different species with contrasting heart morphologies. Lastly, we demonstrate the applicability of the software to different experimental approaches and to different dataset types, such as those corresponding to longitudinal studies.