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Article ; Online: Exploring the relationship between sleep disruptions and adolescent mental health.

Lei, Xue

2024 Volume 119, Page(s) 187

Language	English
Publishing date	2024-04-26
Publishing country	Netherlands
Document type	Letter
ZDB-ID	2012041-2
ISSN	1878-5506 ; 1389-9457
ISSN (online)	1878-5506
ISSN	1389-9457
DOI	10.1016/j.sleep.2024.04.028
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Zs.A 5315: Show issues			Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular Jg. 1995 - 2021: Lesesall (2.OG) ab Jg. 2022: Lesesaal (EG)
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Article ; Online: Quantifying the risk of mass shootings at specific locations.

Lei, Xue / MacKenzie, Cameron

Risk analysis : an official publication of the Society for Risk Analysis

2023 Volume 44, Issue 4, Page(s) 868–882

Abstract: Mass shootings are horrific events that annually take scores of innocent lives in the United States. Federal, state, and local governments as well as educational, religious, and private-sector organizations propose and enact polices and strategies to ... ...

Abstract	Mass shootings are horrific events that annually take scores of innocent lives in the United States. Federal, state, and local governments as well as educational, religious, and private-sector organizations propose and enact polices and strategies to protect people from and during active shooter situations. A probabilistic risk assessment of a mass shooting for a specific organization, jurisdiction, or location can be the first step toward evaluating the effectiveness of risk mitigation strategies and determining which strategies might be most appropriate for a location. This article proposes a novel hierarchical method to assess the probability of a mass shooting at specific locations based on available historical data. First, the method generates a probability distribution over the annual number of mass shootings in the United States. Second, the article uses this national number of mass shootings to determine the risk for each state. Third, the state risk assessment is decomposed to calculate the probability of a mass shooting in a specific location such as a school. Multiple ways to assess the risk are presented, leading to slightly different probability assessments for a location. Results indicate that annual probability of a mass shooting in the largest high school in California is on the order of
Language	English
Publishing date	2023-08-22
Publishing country	United States
Document type	Journal Article
ZDB-ID	778660-8
ISSN	1539-6924 ; 0272-4332
ISSN (online)	1539-6924
ISSN	0272-4332
DOI	10.1111/risa.14197
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Article: The real-time and carry-over effects of injustice on performance and service quality in a ridesharing driver scenario.

Lei, Xue / Kaplan, Seth A

Current psychology (New Brunswick, N.J.)

2023 , Page(s) 1–22

Abstract: The nature of gig work and its growth have important implications for organizational justice theory. Aspects of gig work, including the transactional compensation arrangement, strict algorithmic rating system, and power asymmetry between drivers and ... ...

Abstract	The nature of gig work and its growth have important implications for organizational justice theory. Aspects of gig work, including the transactional compensation arrangement, strict algorithmic rating system, and power asymmetry between drivers and customers, have implications for understanding how dimensions of distributive, informational, and interpersonal injustice manifest and impact job performance in the gig context. An understanding of this topic can inform justice theory more broadly and help explain inconsistent findings in the literature. Here, we report the results of two studies examining the unique effects of these respective dimensions of injustice on emotions and, ultimately, the driving performance and service quality in a ridesharing service context. In Study 1, we modeled the passenger-driver interaction of the ridesharing context using a driving simulator in a laboratory setting to differentiate the real-time and carry-over effects of specific dimensions of injustice. The results from 99 participants showed that perceptions of interpersonal injustice increased anger and unhappiness during the ride, in turn impairing driving and service performance. Antecedent-focused emotion regulation strategies (ERS) reduced felt unhappiness. Moreover, unexpectedly, perceived distributive injustice as caused by the customer rating had opposite (direct versus indirect) effects on service performance in the subsequent ride. Study 2 was an online simulation vignette scenario with 294 participants. The results replicated the findings of Study 1 and revealed two moderators of the unexpected distributive justice-performance relationship. Supplementary information: The online version contains supplementary material available at 10.1007/s12144-022-04215-3.
Language	English
Publishing date	2023-01-09
Publishing country	United States
Document type	Journal Article
ZDB-ID	2021598-8
ISSN	1936-4733 ; 1046-1310
ISSN (online)	1936-4733
ISSN	1046-1310
DOI	10.1007/s12144-022-04215-3
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Article ; Online: The emerging role of extracellular vesicles in the diagnosis and treatment of autism spectrum disorders.

Lei, Xue / Xie, Xue-Ni / Yang, Jia-Xin / Li, Ya-Min

Psychiatry research

2024 Volume 337, Page(s) 115954

Abstract: Autism spectrum disorders (ASD) are neurodevelopmental conditions characterized by restricted, repetitive behavioral patterns and deficits in social interactions. The prevalence of ASD has continued to rise in recent years. However, the etiology and ... ...

Abstract	Autism spectrum disorders (ASD) are neurodevelopmental conditions characterized by restricted, repetitive behavioral patterns and deficits in social interactions. The prevalence of ASD has continued to rise in recent years. However, the etiology and pathophysiology of ASD remain largely unknown. Currently, the diagnosis of ASD relies on behavior measures, and there is a lack of reliable and objective biomarkers. In addition, there are still no effective pharmacologic therapies for the core symptoms of ASD. Extracellular vesicles (EVs) are lipid bilayer nanovesicles secreted by almost all types of cells. EVs play a vital role in cell-cell communications and are known to bear various biological functions. Emerging evidence demonstrated that EVs are involved in many physiological and pathological processes throughout the body and the content in EVs can reflect the status of the originating cells. EVs have demonstrated the potential of broad applications for the diagnosis and treatment of various brain diseases, suggesting that EVs may have also played a role in the pathological process of ASD. Besides, EVs can be utilized as therapeutic agents for their endogenous substances and biological functions. Additionally, EVs can serve as drug delivery tools as nano-sized vesicles with inherent targeting ability. Here, we discuss the potential of EVs to be considered as promising diagnostic biomarkers and their potential therapeutic applications for ASD.
Language	English
Publishing date	2024-05-08
Publishing country	Ireland
Document type	Journal Article ; Review
ZDB-ID	445361-x
ISSN	1872-7123 ; 1872-7506 ; 0925-4927 ; 0165-1781
ISSN (online)	1872-7123 ; 1872-7506
ISSN	0925-4927 ; 0165-1781
DOI	10.1016/j.psychres.2024.115954
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Article ; Online: Experimental study on the reasonable proportions of rock-like materials for water-induced strength degradation in rock slope model test

Yuan Cui / Chao Xu / Lei Xue / Jinyu Dong / Tong Jiang

Scientific Reports, Vol 13, Iss 1, Pp 1-

2023 Volume 18

Abstract: Abstract Water-induced strength deterioration of rock mass is a crucial factor for rock slope instability. To better show the degradation process of rock slope water–rock interaction, we used bentonite as a water-sensitive regulator to build a new rock- ... ...

Abstract	Abstract Water-induced strength deterioration of rock mass is a crucial factor for rock slope instability. To better show the degradation process of rock slope water–rock interaction, we used bentonite as a water-sensitive regulator to build a new rock-like material that matches the features of water-induced strength degradation based on the cement-gypsum bonded materials. Twenty-five schemes of the material mixture proportion were designed using the orthogonal design method considering four factors with five variable levels, and a variety of experiments were conducted to obtain physico-mechanical parameters. In addition, one group of rock-like material proportion was selected and applied to the large-scale physical model test. The experiment results reveal that: (1) The failure mode of this rock-like material is highly similar to that of natural rock masses, and the physico-mechanical parameters vary over a wide range; (2) The bentonite content has a significant influence on the density, elastic modulus, and tensile strength of rock-like materials; (3) It is feasible to obtain the regression equation based on the linear regression analysis to determine the proportion of rock-like material; (4) Through application, the new rock-like material can effectively simulate or reveal the startup mechanism and instability characteristics of rock slopes under water-induced degradation. These studies can serve as a guide for the fabrication of rock-like material in the other model tests.
Keywords	Medicine ; R ; Science ; Q
Subject code	550
Language	English
Publishing date	2023-06-01T00:00:00Z
Publisher	Nature Portfolio
Document type	Article ; Online
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Article ; Online: Comparing different models to forecast the number of mass shootings in the United States: An application of forecasting rare event time series data.

Lei, Xue / MacKenzie, Cameron A

PloS one

2023 Volume 18, Issue 6, Page(s) e0287427

Abstract: The number of mass shootings in the United States has increased in the recent decades. Understanding the future risk of the mass shootings is critical for designing strategies to mitigate the risk of mass shootings, and part of understanding the future ... ...

Abstract	The number of mass shootings in the United States has increased in the recent decades. Understanding the future risk of the mass shootings is critical for designing strategies to mitigate the risk of mass shootings, and part of understanding the future risk is to forecast the frequency or number of mass shootings in the future. Despite the increasing trend in mass shootings, they thankfully remain rare events with fewer than 10 mass shootings occurring in a single year. Limited historical data with substantial annual variability poses challenges to accurately forecasting rare events such as the number of mass shootings in the United States. Different forecasting models can be deployed to tackle this challenge. This article compares three forecasting models, a change-point model, a time series model, and a hybrid of a time series model with an artificial neural network model. Each model is applied to forecast the frequency of mass shootings. Comparing among results from these models reveals advantages and disadvantages of each model when forecasting rare events such as mass shootings. The hybrid ARIMA-ANN model can be tuned to follow variation in the data, but the pattern of the variation may not continue into the future. The mean of the change-point model and the ARIMA model exhibit much more less annual variation and are not influenced as much by the inclusion of a single data point. The insights generated from the comparison are beneficial for selecting the best model and accurately estimating the risk of mass shootings in the United States.
MeSH term(s)	United States/epidemiology ; Time Factors ; Mass Casualty Incidents ; Forecasting ; Neural Networks, Computer
Language	English
Publishing date	2023-06-26
Publishing country	United States
Document type	Journal Article
ZDB-ID	2267670-3
ISSN	1932-6203 ; 1932-6203
ISSN (online)	1932-6203
ISSN	1932-6203
DOI	10.1371/journal.pone.0287427
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Article ; Online: ZNF26-Associated Genes as Prognostic Signatures in Colorectal Cancer with Broad Therapeutic Implications.

Lei, Xue / Zhang, Lijia / Liu, Ye / Sun, Heng / Yan, Jun / Liu, Songjiang

Journal of applied genetics

2024

Abstract: The identification of biomarkers correlated with colorectal cancer (CRC) prognosis holds substantial importance from both clinical and scientific perspectives. Zinc finger protein 26 (ZNF26) has not been previously investigated or documented in solid ... ...

Abstract	The identification of biomarkers correlated with colorectal cancer (CRC) prognosis holds substantial importance from both clinical and scientific perspectives. Zinc finger protein 26 (ZNF26) has not been previously investigated or documented in solid tumors; thus, further research is necessary to ascertain its prognostic value in CRC. Gene expression profiles and clinicopathological data were acquired from The Cancer Genome Atlas (TCGA) database. Subsequently, expression correlation was assessed utilizing the TCGA CRC cohort. The prognostic value of ZNF26 was evaluated through Kaplan-Meier (KM) and ROC curve analyses. Following this, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were conducted to perform enrichment analysis between high- and low-ZNF26 expression groups. The association between immune cells, immune checkpoint genes, and ZNF26 expression levels was examined. Lastly, the research findings were further validated using CRC tissue samples. The results revealed that, in comparison to healthy controls, CRC significantly reduced ZNF26 expression. Elevated ZNF26 expression was associated with poorer overall survival in CRC patients. Additionally, high ZNF26 expression exhibited an inverse relationship with the immunological score and immune checkpoint gene expression in CRC patients. The findings from the TCGA data analysis were corroborated by the PCR results obtained from CRC tissue samples. ZNF26 is markedly upregulated in colorectal cancer tissues, potentially serving as a biomarker for CRC.
Language	English
Publishing date	2024-04-03
Publishing country	England
Document type	Journal Article
ZDB-ID	1235302-4
ISSN	2190-3883 ; 1234-1983
ISSN (online)	2190-3883
ISSN	1234-1983
DOI	10.1007/s13353-024-00854-3
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Article ; Online: Cognitive shadows in perimenopause: linking subjective cognitive decline (SCD) to menopausal symptom severity.

Liu, Ke / Lei, Xue / Zhao, Laigang / Yu, Hangyu / Wang, Dian / Yang, Lin

Gynecological endocrinology : the official journal of the International Society of Gynecological Endocrinology

2024 Volume 40, Issue 1, Page(s) 2352134

Abstract: Objective: As women approach perimenopause, the incidence of Subjective Cognitive Decline (SCD) rises. This study aims to investigate the association between SCD and the severity of perimenopausal symptoms.: Setting: Conducted at The Affiliated ... ...

Abstract	Objective: As women approach perimenopause, the incidence of Subjective Cognitive Decline (SCD) rises. This study aims to investigate the association between SCD and the severity of perimenopausal symptoms. Setting: Conducted at The Affiliated Hospital of Guizhou Medical University Menopause Clinic from November 2022 to June 2023. Participants, aged 40-55 years, were classified as perimenopausal using the STRAW + 10 criteria. Methods: SCD was assessed separately using the Chinese version of the SCD-Q9 scale and the SCD International Working Group (SCD-I) conceptual framework, while perimenopausal symptoms were evaluated with the Modified Kupperman Index (MKI). Linear relationships between MKI scores and SCD-Q9 scores were clarified using both univariate and multivariate linear regression analyses. Additionally, a multivariate Logistic regression analysis was conducted to examine the association between MKI scores and SCD classification based on SCD-I criteria. Main outcome measures: The primary outcomes were the Modified Kupperman Index scores, SCD-Q9 questionnaire scores, and the diagnosis of SCD based on SCD-I criteria. Results: Among 101 participants, the average MKI score was 18.90 ± 9.74, and the average SCD-Q9 score was 4.57 ± 2.29. Both univariate and multivariate linear regressions demonstrated a positive correlation between these scores. A multivariate Logistic regression analysis, using MKI as the independent variable and SCD-I criteria classification as the dependent variable, revealed a significant positive association. Conclusions: A notable association exists between SCD and perimenopausal symptoms severity. This underscores the potential clinical importance of addressing perimenopausal symptoms to mitigate SCD risks in women. Further studies should focus on clarifying the causality between these factors.
MeSH term(s)	Humans ; Female ; Perimenopause/psychology ; Middle Aged ; Cognitive Dysfunction/epidemiology ; Cognitive Dysfunction/etiology ; Adult ; Severity of Illness Index ; Surveys and Questionnaires ; China/epidemiology
Language	English
Publishing date	2024-05-16
Publishing country	England
Document type	Journal Article
ZDB-ID	639237-4
ISSN	1473-0766 ; 0951-3590
ISSN (online)	1473-0766
ISSN	0951-3590
DOI	10.1080/09513590.2024.2352134
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Article ; Online: Development of an immunogenic cell death prognostic signature for predicting clinical outcome and immune infiltration characterization in stomach adenocarcinoma.

Liu, Ye / Zhang, Lijia / Lei, Xue / Yin, Xinyu / Liu, Songjiang

Aging

2023 Volume 15, Issue 20, Page(s) 11389–11411

Abstract: Stomach adenocarcinoma (STAD) is a common gastric histological cancer type with a high mortality rate. Immunogenic cell death (ICD) plays a key factor during carcinogenesis progress, whereas the prognostic value and role of ICD-related genes (ICDRGs) in ... ...

Abstract	Stomach adenocarcinoma (STAD) is a common gastric histological cancer type with a high mortality rate. Immunogenic cell death (ICD) plays a key factor during carcinogenesis progress, whereas the prognostic value and role of ICD-related genes (ICDRGs) in STAD remain unclear. The MSigDB database collecting ICDRGs were selected by univariate Cox regression analysis and LASSO algorithm to establish a novel risk model. The Kaplan-Meier survival analysis indicated a significant difference of OS rate of patients by risk score stratification. ESTIMATE, CIBERSORT, and single sample gene set enrichment analysis (ssGSEA) algorithms were conducted to estimate the immune infiltration landscape by risk stratification. Subgroup analysis and tumor mutation burden analysis were also analyzed to identify characteristics between groups. Differences in therapeutic responsiveness to chemotherapeutic drugs and targeted drugs were also analyzed between high-risk group and low-risk group. The impact of one ICDRG, GPX1, on the proliferation, migration and invasiveness of was confirmed by
MeSH term(s)	Humans ; Prognosis ; Immunogenic Cell Death ; Reproducibility of Results ; Stomach Neoplasms/genetics ; Adenocarcinoma/genetics ; Carcinogenesis
Language	English
Publishing date	2023-10-19
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ISSN	1945-4589
ISSN (online)	1945-4589
DOI	10.18632/aging.205132
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Article ; Online: Laparoscopic splenectomy and azygoportal disconnection to treat liver cirrhosis with hypersplenism and esophagogastric variceal bleeding: A video vignette.

Huang, Jie / Lei, Xue Fen / Xu, Dingwei / Li, Ao

Asian journal of surgery

2023 Volume 46, Issue 8, Page(s) 3122–3123

MeSH term(s)	Humans ; Esophageal and Gastric Varices/complications ; Esophageal and Gastric Varices/surgery ; Hypersplenism/etiology ; Hypersplenism/surgery ; Splenectomy ; Gastrointestinal Hemorrhage/etiology ; Gastrointestinal Hemorrhage/surgery ; Varicose Veins/surgery ; Laparoscopy ; Liver Cirrhosis/complications ; Liver Cirrhosis/surgery ; Retrospective Studies ; Treatment Outcome
Language	English
Publishing date	2023-03-04
Publishing country	Netherlands
Document type	Video-Audio Media ; Letter
ZDB-ID	1068461-x
ISSN	0219-3108 ; 1015-9584
ISSN (online)	0219-3108
ISSN	1015-9584
DOI	10.1016/j.asjsur.2023.02.079
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