bluuebunny/crossref_metadata_2025_split huggingface dataset:
Derivation and validation of risk prediction for posttraumatic stress symptoms following trauma exposure
Authors: Kim Raphael , Lin Tina , Pang Gehao , Liu Yufeng , Tungate Andrew S. , Hendry Phyllis L. , Kurz Michael C. , Peak David A. , Jones Jeffrey , Rathlev Niels K. , Swor Robert A. , Domeier Robert , Velilla Marc-Anthony , Lewandowski Christopher , Datner Elizabeth , Pearson Claire , Lee David , Mitchell Patricia M. , McLean Samuel A. , Linnstaedt Sarah D. 
Published: July 2022

AbstractBackgroundPosttraumatic stress symptoms (PTSS) are common following traumatic stress exposure (TSE). Identification of individuals with PTSS risk in the early aftermath of TSE is important to enable targeted administration of preventive interventions. In this study, we used baseline survey data from two prospective cohort studies to identify the most influential predictors of substantial PTSS.MethodsSelf-identifying black and white American women and men (n= 1546) presenting to one of 16 emergency departments (EDs) within 24 h of motor vehicle collision (MVC) TSE were enrolled. Individuals with substantial PTSS (⩾33, Impact of Events Scale – Revised) 6 months after MVC were identified via follow-up questionnaire. Sociodemographic, pain, general health, event, and psychological/cognitive characteristics were collected in the ED and used in prediction modeling. Ensemble learning methods and Monte Carlo cross-validation were used for feature selection and to determine prediction accuracy. External validation was performed on a hold-out sample (30% of total sample).ResultsTwenty-five percent (n= 394) of individuals reported PTSS 6 months following MVC. Regularized linear regression was the top performing learning method. The top 30 factors together showed good reliability in predicting PTSS in the external sample (Area under the curve = 0.79 ± 0.002). Top predictors included acute pain severity, recovery expectations, socioeconomic status, self-reported race, and psychological symptoms.ConclusionsThese analyses add to a growing literature indicating that influential predictors of PTSS can be identified and risk for future PTSS estimated from characteristics easily available/assessable at the time of ED presentation following TSE.
Size-dependent financial frictions, capital misallocation, and aggregate productivity
Authors: Zhu Xiaolu 
Published: July 2022

AbstractThis paper quantitatively examines the macroeconomic effects of size-dependent financial frictions on capital misallocation and aggregate total factor productivity. Based on panel data from China’s manufacturing sector, I find that among non-state-owned enterprises, (i) the dispersion of the marginal product of capital is large and persistent and (ii) large firms tend to have higher leverage, and lower mean and dispersion of the marginal product of capital than their small counterparts. This paper analyzes a dynamic stochastic general equilibrium model with heterogeneous agents and size-dependent financial frictions. By calibrating the model to a Chinese firm-level dataset, I show that in addition to matching the aforementioned stylized facts, the economy with a size-dependent borrowing constraint is able to reproduce the observed negative correlation between firm size and the marginal product of capital, as well as generate quantitatively modest TFP loss. Furthermore, ignoring firms’ size-dependent financing patterns may lead to an overstatement of TFP loss due to financial frictions.
A situational analysis of primary health care centers in Brazil: challenges and opportunities for addressing mental illness and substance use-related stigma
Authors: Bobbili Sireesha Jennifer , Carrara Bruna Sordi , Fernandes Raquel Helena Hernandez , Ventura Carla Aparecida Arena 
Published: July 2022

Abstract

Background:
The detrimental impact of stigma toward people with mental illness and substance use problems (MISUP) is well documented. However, studies focusing on stigma reduction in Latin American primary health care (PHC) contexts are limited. This situational analysis incorporating a socioecological framework aims to provide a comprehensive understanding of MISUP-related stigma in PHC centers in Brazil. The objectives of this analysis are twofold: (1) to understand the current mental health and substance use service delivery context and (2) identify challenges and opportunities for addressing MISUP-related stigma in PHC centers in Ribeirão Preto, Brazil.

Methods:
Environmental scans of four Family Health Units were conducted in early 2018 to explore population needs and service delivery for individuals with MISUP. In addition, a symposium was organized in October 2018 to consult with diverse stakeholders and gather local perspectives about MISUP-related stigma conveyed in PHC settings. NVivo 12 software was used to conduct a thematic analysis of the qualitative data collected from the environmental scans and the symposium consultation.

Results:
Themes identified at the national level in the socioecological framework indicate that political support for national policies related to reducing stigma is limited, particularly regarding social inclusion and the decentralization of mental health services. Themes at the regional, organizational, and interpersonal levels include insufficient mental health expertise and the limited involvement of those with lived experience in decision-making. Suggestions for stigma interventions were provided, including increased contact with individuals with lived experience outside of client-patient interactions, capacity building for professionals, and public education campaigns.

Conclusion:
Increased government support, capacity building, and promoting social inclusion will provide opportunities to reduce stigma and reach marginalized populations. These findings will assist with addressing current gaps in PHC mental health service provision and may inform anti-stigma strategies for Brazil and other Latin American low- and middle-income countries.
Profiles of School-Related Well-Being and Their Links to Self-Esteem and Academic Achievement
Authors: Holzer Julia , Korlat Selma , Bürger Sarah , Spiel Christiane , Schober Barbara 
Published: July 2022

Abstract. School represents an essential developmental context for adolescents. Accordingly, understanding well-being in school is of utmost importance. While it has long been common to measure well-being on a general level, more recent conceptualizations emphasize its multidimensionality and context-specificity. Therefore, the present study took a person-oriented approach and investigated how profiles of adolescents’ school-related well-being differ regarding two relevant goals of schooling: academic achievement and self-esteem. School-related well-being was assessed along five dimensions: engagement, perseverance, optimism, connectedness, and happiness among Austrian students ( N = 1,484). By applying latent profile analyses, we obtained four profiles that differed primarily regarding their total school-related well-being scores and the expression of connectedness. Generally, groups with a higher total score displayed higher academic achievement and self-esteem. However, there are also exceptions standing out from that pattern. Different constellations are discussed, aiming to contribute to further differentiating research on well-being in the school-context.
Analysis of the Spatiotemporal Evolution of the Maurienne Swarm (French Alps) Based on Earthquake Clustering
Authors: Minetto Riccardo , Helmstetter Agnès , Schwartz Stéphane , Langlais Mickaël , Nomade Jérôme , Guéguen Philippe 
Published: July 2022

AbstractBetween August 2017 and March 2019, an intense seismic swarm was recorded in the Maurienne valley in the north of the Belledonne massif (Western French Alps). In order to study the spatiotemporal evolution of the Maurienne swarm, we created a high‐resolution catalog based on template matching, double‐difference relocation, and moment magnitudes. The catalog includes 71,064 events with a maximum moment magnitude of 3.5 and a magnitude of completeness of 0.7. The seismic activity is interpreted as the reactivation of an N80 strike‐slip fault system called Fond de France. Moreover, earthquake relocation reveals the presence of a shallower fault system with the same strike, but opposite dip direction and smaller size. The presence of two distinct fault systems may explain the observed variation of the b‐value with depth. The seismicity migrated asymmetrically in all directions during the course of about 15 months. Shorter migrations lasting 2–3 days are also observed. The different migration patterns suggest that the swarm is driven by several mechanisms, possibly pore‐pressure diffusion, aseismic slip, and earthquake interactions.
Combined Sewer Overflow and Flooding Mitigation Through a Reliable Real‐Time Control Based on Multi‐Reinforcement Learning and Model Predictive Control
Authors: Tian Wenchong , Liao Zhenliang , Zhi Guozheng , Zhang Zhiyu , Wang Xuan 
Published: July 2022

AbstractReal‐time control (RTC) of urban drainage systems (UDS) has been proved an efficient tool in combined sewer overflow (CSO) and flooding mitigation. Recently, new RTC approaches based on reinforcement learning (RL) were developed for flooding mitigation in stormwater systems. While these studies have made contributions to enable an improved urban water management, they are insufficient to allow for deeply understanding of the effectiveness of different RLs in UDS. Meanwhile, the risk of handing over the control process to a RL agent is still unavoidable because of the fluctuations of RLs' output and the unknown consequences of implementing RLs control strategy. This study conducted four tasks to address these problems. First, five RTC systems based on five individual RLs were designed to distinguish different RLs' performance in the context of UDS. Then, an independent security system based on SWMM was provided to forecast and evaluate the consequence of RL control strategy. After that, an innovative hybrid RTC system, called Voting, was developed by coupling multiple RLs and the independent security system through a model predictive control framework to avoid the fluctuations of RLs' output. Finally, the robustness of the RL agents was validated using uncertainty analysis. All the RLs were evaluated through simulation based on a Storm Water Management Model of a UDS located in Eastern China. According to the results, (a) different RLs show promise in CSO and flooding mitigation; (b) Voting selects a relatively reliable and optimal control trajectory compared with any single RL agents; (c) the performances of RL agents have certain robustness when facing different rainfall events and imperfect input.
The Dominant Role of Brewer‐Dobson Circulation on 17O‐Excess Variations in Snow Pits at Dome A, Antarctica
Authors: Pang Hongxi , Zhang Peng , Wu Shuangye , Jouzel Jean , Steen‐Larsen Hans Christian , Liu Ke , Zhang Wangbin , Yu Jinhai , An Chunlei , Chen Deliang , Hou Shugui 
Published: July 2022

AbstractRecent studies have suggested that water isotopologues in snow pits from remote East Antarctica can be influenced by the input of stratospheric water, which has anomalously high 17O‐excess values. However, it remains unclear whether the 17O‐excess records preserved in snow and ice from this region can be used to reconstruct stratosphere‐troposphere exchange (STE). In this study, we present high‐resolution 17O‐excess records from two snow pits at Dome A, the highest point of the Antarctic ice sheet. The 17O‐excess records show a significant positive correlation with the strength of the Brewer‐Dobson circulation (BDC), the hemispheric‐scale troposphere‐stratosphere overturn circulation. Stronger BDC leads to more stratospheric water input over Antarctica and higher 17O‐excess, and vice versa. In addition, the 17O‐excess records also have a significant positive correlation with the Southern Annular Mode (SAM) index, because SAM modulates Antarctic precipitation, which has a dilution effect on the stratospheric water input. The 17O‐excess records do not show significant correlations with local temperature and relative humidity in the moisture source region. These results suggest the dominant effect of BDC on 17O‐excess and indicate the potential for using 17O‐excess records in ice cores from remote sites in East Antarctica for reconstructing long‐term variations of STE, and understanding their mechanisms and climate effects.
Permissive aggregative group formation favors coexistence between cooperators and defectors in yeast
Authors: Belpaire Tom E R , Pešek Jiří , Lories Bram , Verstrepen Kevin J , Steenackers Hans P , Ramon Herman , Smeets Bart 
Published: July 2022

Abstract
In Saccharomyces cerevisiae, the FLO1 gene encodes flocculins that lead to formation of multicellular flocs, that offer protection to the constituent cells. Flo1p was found to preferentially bind to fellow cooperators compared to defectors lacking FLO1 expression, enriching cooperators within the flocs. Given this dual function in cooperation and kin recognition, FLO1 has been termed a “green beard gene”. Because of the heterophilic nature of the Flo1p bond however, we hypothesize that kin recognition is permissive and depends on the relative stability of the FLO1+/flo1− versus FLO1+/FLO1+ detachment force F. We combine single-cell measurements of adhesion, individual cell-based simulations of cluster formation, and in vitro flocculation to study the impact of relative bond stability on the evolutionary stability of cooperation. We identify a trade-off between both aspects of the green beard mechanism, with reduced relative bond stability leading to increased kin recognition at the expense of cooperative benefits. We show that the fitness of FLO1 cooperators decreases as their frequency in the population increases, arising from the observed permissive character (F+− = 0.5 F++) of the Flo1p bond. Considering the costs associated with FLO1 expression, this asymmetric selection often results in a stable coexistence between cooperators and defectors.
PKD2 founder mutation is the most common mutation of polycystic kidney disease in Taiwan
Authors: Yu Chih-Chuan , Lee An-Fu , Kohl Stefen , Lin Ming-Yen , Cheng Siao Muk , Hung Chi-Chih , Chang Jer-Ming , Chiu Yi-Wen , Hwang Shang-Jyh , Otto Edgar A. , Hildebrandt Friedhelm ,   Taiwan PKD Consortium, Hwang Daw-Yang 
Published: July 2022

AbstractAutosomal Dominant polycystic kidney disease (ADPKD) is the most common inherited adult kidney disease. Although ADPKD is primarily caused by PKD1 and PKD2, the identification of several novel causative genes in recent years has revealed more complex genetic heterogeneity than previously thought. To study the disease-causing mutations of ADPKD, a total of 920 families were collected and their diagnoses were established via clinical and image studies by Taiwan PKD Consortium investigators. Amplicon-based library preparation with next-generation sequencing, variant calling, and bioinformatic analysis was used to identify disease-causing mutations in the cohort. Microsatellite analysis along with genotyping and haplotype analysis was performed in the PKD2 p.Arg803* family members. The age of mutation was calculated to estimate the time at which the mutation occurred or the founder arrived in Taiwan. Disease-causing mutations were identified in 634 families (68.9%) by detection of 364 PKD1, 239 PKD2, 18 PKHD1, 7 GANAB, and 6 ALG8 pathogenic variants. 162 families (17.6%) had likely causative but non-diagnostic variants of unknown significance (VUS). A single PKD2 p.Arg803* mutation was found in 17.8% (164/920) of the cohort in Taiwan. Microsatellite and array analysis showed that 80% of the PKD2 p.Arg803* families shared the same haplotype in a 250 kb region, indicating those families may originate from a common ancestor 300 years ago. Our findings provide a mutation landscape as well as evidence that a founder effect exists and has contributed to a major percentage of the ADPKD population in Taiwan.
J-Matrix time propagation of atomic hydrogen in attosecond fields
Authors: Gersbacher Rolf , Broad John T. 
Published: July 2022

AbstractThe J-Matrix approach for scattering is extended to the time-dependent Schrödinger equation (TDSE) for one electron atoms in external few cycle attosecond fields. To this purpose, the wave function is expanded in square integrable ($$L^2$$

L
2

) Sturmian functions and an equation system for the transition amplitudes is established. Outside the interaction zone, boundary conditions are imposed at the border in the $$L^2$$

L
2

function space. These boundary conditions correspond to outgoing waves (Siegert states) and minimize reflections at the $$L^2$$

L
2

boundary grid. Outgoing wave behaviour in the asymptotic region is achieved by employing Pollaczek functions. The method enables the treatment of light - atom interactions within arbitrary external fields. Using a partial wave decomposition, the coupled differential equation system is solved by a Runge-Kutta method. As a proof of the method ionization processes of atomic hydrogen in half and few cycle attosecond fields are examined. The electron energy spectrum is calculated and the numerical implementation will be presented. Different forms of the interaction operator are considered and the convergence behaviour is discussed. Results are compared to other studies which use independent approaches like finite difference methods. Remarkable agreement is achieved even with strong field strengths of the electromagnetic field. It is demonstrated that expanding in $$L^2$$

L
2

functions and imposing boundary conditions at the limit in the $$L^2$$

L
2

function space can be an advantageous alternative to conventional propagation methods using complex absorbing potentials or complex scaling.
Classification of emotional states via transdermal cardiovascular spatiotemporal facial patterns using multispectral face videos
Authors: Shvimmer Shaul , Simhon Rotem , Gilead Michael , Yitzhaky Yitzhak 
Published: July 2022

AbstractWe describe a new method for remote emotional state assessment using multispectral face videos, and present our findings: unique transdermal, cardiovascular and spatiotemporal facial patterns associated with different emotional states. The method does not rely on stereotypical facial expressions but utilizes different wavelength sensitivities (visible spectrum, near-infrared, and long-wave infrared) to gauge correlates of autonomic nervous system activity spatially and temporally distributed across the human face (e.g., blood flow, hemoglobin concentration, and temperature). We conducted an experiment where 110 participants viewed 150 short emotion-eliciting videos and reported their emotional experience, while three cameras recorded facial videos with multiple wavelengths. Spatiotemporal multispectral features from the multispectral videos were used as inputs to a machine learning model that was able to classify participants’ emotional state (i.e., amusement, disgust, fear, sexual arousal, or no emotion) with satisfactory results (average ROC AUC score of 0.75), while providing feature importance analysis that allows the examination of facial occurrences per emotional state. We discuss findings concerning the different spatiotemporal patterns associated with different emotional states as well as the different advantages of the current method over existing approaches to emotion detection.
Differential epithelial and stromal LGR5 expression in ovarian carcinogenesis
Authors: Kim Hyesung , Lee Dong Hui , Park Eunsun , Myung Jae Kyung , Park Jeong Hwan , Kim Dong Il , Kim Se Ik , Lee Maria , Kim Younghoon , Park Chul Min , Hyun Chang Lim , Maeng Young Hee , Lee Cheol , Jang Bogun 
Published: July 2022

AbstractLgr5 has been identified as a marker of the stem/progenitor cells in the murine ovary and oviduct by lineage tracing. However, little is known regarding LGR5 expression or its functional significance in human ovary tissues. Here, using RNA in situ hybridization and/or immunohistochemistry, we thoroughly investigated LGR5 expression in normal human ovaries, fallopian tubes and various ovarian tumors. We discovered that LGR5 expression is negligible in the human ovary surface epithelium, whereas ovarian stromal cells normally express low levels of LGR5. Remarkably, fallopian tube epithelium, inclusion cysts and serous cystadenomas with a Müllerian phenotype expressed high levels of LGR5, and LGR5 expression was restricted to PAX8+/FOXJ1− secretory cells of the tubal epithelium. Strong stromal LGR5 expression without epithelial LGR5 expression was consistently observed in the path from serous cystadenoma to serous borderline tumor to low grade serous carcinoma (LGSC). Unlike LGSC, high grade serous carcinoma (HGSC), clear cell carcinoma, endometrioid carcinomas displayed various epithelial-stromal LGR5 expression. Notably, high levels of LGR5 expression were observed in serous tubal intraepithelial carcinoma, which slightly declined in invasive HGSC. LGR5 expression was significantly associated with improved progression-free survival in HGSC patients. Moreover, in vitro assays demonstrated that LGR5 expression suppressed tumor proliferation and migratory capabilities. Taken together, these findings indicate a tumor-suppressive role for LGR5 in the progression of HGSC.
Propensity-score matched analysis to evaluate efficacy of endoscopic submucosal dissection for superficial esophageal cancer in gastrectomized patients
Authors: Hamada Yasuhiko , Tanaka Kyosuke , Katsurahara Masaki , Horiki Noriyuki , Umeda Yuhei , Ikenoyama Yohei , Yukimoto Hiroki , Tameda Masahiko , Tsuboi Junya , Yamada Reiko , Nakamura Misaki , Nakagawa Hayato 
Published: July 2022

AbstractEndoscopic submucosal dissection (ESD) is a minimally invasive treatment option for superficial esophageal cancer (SEC) with high rates of complete resection. However, limited research exists on the efficacy of ESD for SEC in gastrectomized patients. This study aimed to evaluate the efficacy of ESD for SEC in gastrectomized patients. We included 318 patients of SEC treated at our institution between April 2005 and October 2021. To minimize bias between the gastrectomized and non-gastrectomized groups, we conducted a propensity-score matched analysis and compared the ESD outcomes for SEC of the two groups. Of the 318 patients included in the study, 48 and 270 patients were in the gastrectomized and non-gastrectomized groups, respectively. After 1:2 propensity-score matching, we matched 44 patients in the gastrectomized group to 88 patients in the non-gastrectomized group, and found no significant differences in the baseline clinicopathological characteristics. Regarding the ESD outcomes, there were no significant differences in the complete resection rate, procedure time, hospitalized period, and recurrence rates between the two groups. Multivariate analysis also cofirmed that the history of gastrectomy was not a risk factor of the difficult case of esophageal ESD. In conclusion, history of gastrectomy might not negatively affect the ESD outcomes of SECs.