bluuebunny/crossref_metadata_2025_split huggingface dataset:
The impact of COVID-19 pandemic and lockdown on emergency psychiatry department admissions
Authors: Poyraz Cana Aksoy , Bostan Büşra Uçar , Çelik Elif Burcu Ersungur , Çelik Beril Kara 
Published: July 2023

Abstract
Background: This study aimed to explore the impact of coronavirus disease 2019 pandemic and lockdown period (LP) measures on patients’ visits to psychiatric emergency department (PED) of Istanbul University-Cerrahpaşa, Cerrahpaşa Medical School.
Methods: We conducted a retrospective cohort study comparing the number and characteristics of patients during the initial lockdown with visits in the pre- and post-lockdown months. We also investigated the number of monthly PED visits and hospitalizations between March 11, 2020-2021 and compared it to the same period in 2019 and between March 2021-2022.
Results: PED visits in the initial LP in Istanbul increased by 109% compared to the pre-lockdown months in the previous year. Anxiety and depressive disorders were responsible for most of this increase. The decline in PED visits was 3.1% and 42% during the first and second year of the pandemic, respectively; however, among the major diagnostic categories, we found that the rates of anxiety, depressive disorders, and OCD increased significantly in the first year, while psychotic disorders declined and bipolar disorders remained the same. In the second year, there was a trend toward pre-pandemic year ratios.
Conclusion: The present findings highlight the immediate and long-term effects of the COVID-19 pandemic and lockdown measures on patients’ admission to the PED.
ACE-2 receptor expression on the back of the hand: Implications in the indirect transmission of SARS-CoV-2
Authors: Acosta Gustavo Acosta Altamirano , Chávez Miguel A. Chávez Martínez , Martínez-Quezada Rebeca Martínez-Quezada , Rodríguez Carlos E. Miguel , Reyes-Montes María R. Reyes-Montes , Sánchez-Conejo Alma Rosa , Valencia-Ledezma Omar E. 
Published: July 2023

Abstract
The SARS-CoV-2, is the causative agent of COVID-19, a disease that was declared a pandemic by the WHO, at the beginning of 2020. Various authors have pointed out that morbidity and mortality, as well as the economic consequences of a pandemic, are influenced by factors such as the susceptibility of the population to infection, the severity of the disease, transmissibility and routes of transmission. It was of particular interest in this work to focus on the last two aspects, and, more specifically, on indirect transmission through contact with the back of the hand, highlighting the importance of this site during the transmission process of SARS-CoV- 2. The expression, as well as the functionality of the ACE-2 receptors on the back of the hand was demonstrated by immunohistochemical techniques, and the implications of these findings in the indirect transmission of the virus were discussed. We conclude that contact with the skin, for example, through the fist salute, contributes to the increase in infections, in such a way that we suggest that this practice be avoided as a protection measure.
Comparison of CSF and plasma NfL and pNfH for Alzheimer’s disease diagnosis. A memory clinic study.
Authors: Vrillon Agathe , Ashton Nicholas J. , Karikari Thomas K. , Götze Karl , Cognat Emmanuel , Dumurgier Julien , Lilamand Matthieu , Zetterberg Henrik , Blennow Kaj , Paquet Claire 
Published: July 2023

Abstract
Background Plasma neurofilament light chain (NfL) is a promising biomarker of axonal and neuronal damage in central nervous system disorders, displaying potential for the differential diagnosis of neurodegenerative diseases. The heavy chain of the neurofilaments, and specifically the phosphorylated form (pNfH), has demonstrated its value in amyotrophic lateral sclerosis diagnosis but has much less been explored in neurocognitive disorders. Our aim was to compare the positive and differential diagnosis performance of NfL, CSF and plasma pNfH in patients from daily clinical practice in Alzheimer’s disease (AD) and other dementias.Methods In a cross-sectional retrospective study, we compared NfL and pNfH levels in CSF and plasma for AD diagnosis in n = 188 patients from the Center of Cognitive Neurology, Lariboisiere Hospital, Paris, France including AD at the mild cognitive impairment (MCI) stage (AD-MCI, n = 36) and at the dementia stage (n = 64), as well as non-AD MCI (n = 38), non-AD dementia (n = 28) patients and neurological controls (NC) (n = 22). Plasma NfL, plasma and CSF pNfH levels were measured using the Simoa technique and CSF NfL using Elisa.Results NfL and pNfH, in plasma and CSF, were associated with age (rho = 0.259–0.451, P < 0.003). The correlation between CSF and plasma levels was stronger for NfL than pNfH (respectively, rho = 0.77 and rho = 0.52, respectively). Both CSF and plasma NfL and CSF pNfH were associated with CSF p-tau levels in AD patients, but not plasma pNfH. All neurofilament markers were increased in AD-MCI, AD dementia and non-AD dementia compared with NC. CSF NfL, CSF pNfH and plasma NfL showed high performance to discriminate AD at both MCI and dementia stage from control subjects (AUC = 0.82–0.91). Conversely, plasma pNfH displayed overall lower AUCs for discrimination between groups compared with CSF pNfH. Nfs markers showed moderate association with cognition. NfL displayed significant association with mediotemporal lobe atrophy and white matter lesions, in the whole cohort and in the AD subgroup.Conclusion CSF NfL and pNfH as well as plasma NfL displayed equivalent performance in both positive and differential AD diagnosis in a memory clinic setting. In contrast to motoneuron disorders, plasma pNfH did not demonstrate added value as compared with plasma NfL.
Effects of dietary thiamin (vitamin B1) on the growth performances, serum biochemistry factors, immune response, and antioxidant activity of great sturgeon (Huso huso) juveniles
Authors: Behbodi Zahra , Bahram Somayeh , Bahrekazemi Masoumeh , Javadian Seyed Rohollah , Bozorgnia Abas , Abdel-Tawwab Mohsen 
Published: July 2023

Abstract
The present research evaluated the effects of dietary thiamin (vitamin B1) levels on the growth performances, serum biochemistry factors, immune response, and antioxidant activity of great sturgeon (Huso huso) juveniles. Thiamin was included in diets with levels of 0 (T0), 7 (T7), 15 (T15) and 25 (T25) mg/kg diet. Sturgeon juveniles (156 individuals) with average weight of 44.8 ± 1.96 g were distributed into 12 tanks, and fed with the experimental diets for 8 weeks. The dietary thiamin levels significantly enhanced the growth parameters including final weight, weight gain, specific growth rate, and feed efficiency, and the optimum thiamin level was obtained in T15. A significant difference was observed between the treatments in the activity levels of trypsin, chymotrypsin, creatine kinase, lipase, amylase and alkaline phosphatase. The amount of glucose was not significantly different between the experimental treatments. Triglyceride, cholesterol, and total protein levels were significantly higher in the thiamin-fed treatments than in the control group. A significant decrease in the activity of aminotransferase aspartate and alanine aminotransferase enzymes was observed by increasing dietary thiamin level. Serum antioxidant enzymes were significantly higher in the thiamin treated fish than in the control group. Serum malondialdehyde was affected by dietary thiamin and was significantly lower in the treatments fed with thiamin than in the control fish group. Total immunoglobulin, lysozyme, and ACH50 values were significantly higher in fish fed with thiamin-supplemented diets than in the control group. The results of the present study demonstrated that the optimal level of thiamin is 19.72–25.28 mg/kg diet based on weight gain, specific growth rate, and hepatic thiamin content.
Risk factors and a nomogram prediction model for Restricted Life-Space in Chinese older adults with diabetes:A single-center cross-sectional study
Authors: Zhang Hai-yan , Guo Jiong-chao , Zhang Li , Deng Man , Yu wei-hua 
Published: July 2023

Abstract
Background
Physical activity is a crucial component of the treatment and management of diabetes, yet older individuals with diabetes generally exhibit insufficient physical activity levels. Life space mobility (LSM), which reflects the physical activity and psychological well-being of older individuals within their actual environment, poses challenges to the management of diabetes in this age group, significantly jeopardizing their physical and mental health.
Aim
The objective of this study is twofold: first, to investigate the risk factors associated with mobility restriction among older adults with diabetes mellitus; and second, to develop and verify a restricted life-space risk nomogram prediction model for this population by nomogram.
Methods
The convenient sampling method was employed to recruit participators aged 60 years and above from both the endocrinology clinic and health examination center situated in a Grade A hospital located in Anhui. These participators were then categorized into two groups: the Restricted Life-Space(RLS) group and the non-Restricted Life-Space group. The Least absolute shrinkage and selection operator (LASSO) regression was used to decrease data dimensionality and select features, while the C index and Brier score were employed to assess the model's discrimination and calibration, respectively. Receiver operating characteristic (ROC) curves and calibration curve were generated to visualize the performance of the model.Decision curve analysis (DCA) and clinical impact curve (CIC) were conducted to evaluate the clinical value of the model. The internal validity of the model was confirmed using the bootstrapping method, while external validation was performed to test its generalizability.
Results
A risk nomogram prediction model was developed using four predictors: fear of falling, decline of activities of daily living (ADL), lower limb hypofunction, and decline of vision.Internal validation of the model yielded the following results: a C index of 0.936, a goodness-of-fit test χ2 value of 1.21 with a corresponding P-value of 0.75, and a Brier score of 0.081. In the DCA, the threshold ranged from 0.1 to 0.95, and the clinical net benefit was consistently greater than 0. The CIC demonstrated that the predicted risk generated via the model was highly consistent with the actual risk. External validation of the model resulted in a C index of 0.932, a goodness-of-fit test χ2 value of 3.11 with a corresponding P-value of 0.60, and a Brier score of 0.106.
Conclusion
The risk nomogram prediction model constructed in this study based on the above four independent risk factors is noninvasive, inexpensive, and easily accessible, with high sensitivity, specificity, and utility, and provides a reference for the assessment and intervention of life-space mobility levels in older adults with diabetes.
A systematic literature review of vehicle-to-everything in communication, computation and service scenarios
Authors: Lv Shengnan , Qin Yong , Gan Weidong , Xu Zeshui , Shi Lefeng 
Published: July 2023

Abstract

The notion of vehicle-to-everything (V2X) has been adopted and developed in a host of application scenarios due to its wide compatibility with intelligent transport, smart city or other relevant concepts since it was set forth. Benefiting from the application of advanced technologies, vehicles are connected with more and more objects, such as vehicle-to-unmanned aerial vehicles (V2U), vehicle-to-subway (V2S), etc., making the application scenarios of V2X constantly updated. Narrative reviews for specific V2X, such as vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I), or vehicle-to-grid (V2G), rather than a comprehensive review of V2X, cannot provide a reference for a broader and comprehensive application of V2X. Therefore, this study first investigates the knowledge landscape of V2X publications by bibliometric analysis to portray the theme evolution and outline of V2X research. Then, the applications of V2X are then summarized into communication, computation, and service scenarios, and their forms, supporting technologies, and challenges are reviewed. The relationships and synergistic development in various V2X are also discussed. This holistic insight is necessary to help researchers connect the sub-concepts of V2X for the synergistic development of various V2X.
Long-term patient-reported knee-related outcomes and quality of life of patients with tibial plateau fractures; a mixed methods study
Authors: Gaast Nynke van der , Edwards Britt H.J. , Alderlieste Dagmar S. , Jaarsma Ruurd L. , Ed Michael J.R. , Doornberg Job N. , Hermans Erik 
Published: July 2023

Abstract
Purposes This study aims to 1) provide a comprehensive assessment of the long-term functional outcomes in patients who sustained a tibial plateau fracture by combining patient-reported outcomes and a qualitative analysis of their healthcare experiences and 2) compare the long-term outcomes of tibial plateau fracture patients with a matched healthy population.
Methods All eligible patients (n=165) were treated for a tibial plateau fracture at a level-1 trauma center in Australia and were asked to complete the KOOS and EQ-5D-5L questionnaire. Additionally, the outcomes (KOOS and EQ-5D-5L) of our patient sample were compared to those of a matched sample of the general population. Lastly, in-depth interviews were conducted in a subset of participating patients to gain insight in their treatment experiences.
Results Out of 165 patients, 46 patients (28% response rate) agreed to participate in this study and 18 patients consented to an additional interview. Patient demographics showed a mean age of 52.8 years, ranging from 18 to 72 years. Patients who sustained a tibial plateau fracture exhibited significant deterioration compared to a matched healthy population, with decreases ranging from 17 to 38 points in each KOOS questionnaire subcategory respectively. Moreover, their quality of life, as measured by the EQ-5D-5L index score, significantly declined for patients with tibial plateau fractures (0.79±0.26) compared to a matched health population (0.88±0.03). The qualitative analysis highlights patient perspectives and suggests potential improvements, such as standard referral to physical therapy and optimization of support services, to enhance both short-term and long-term outcomes for patients who suffered from a tibial plateau fracture.
Conclusion This study demonstrates the substantial impact of tibial plateau fractures on knee-related outcomes and quality of life for patients, even 5-10 years post-injury, when compared to a matched healthy population. The qualitative findings of this study emphasize the importance of implementing physical therapy and improving support services to potentially achieve better outcomes for patients with tibial plateau fractures.
Trial registration: This study was approved by the hospitals’ local ethics committee (Southern Adelaide Local Health Network LNR/22/SAC/174).
You Watch Once More: A More Effective CNN Architecture for Video Spatio-Temporal Action Localization
Authors: Qin Yefeng , Chen Lei , Ben Xianye , Yang Mingqiang 
Published: July 2023

Abstract
The task of spatio-temporal action localization (STAL) needs to detect the action and position of individuals in the scene. Many works focus on how to improve the accuracy, but they usually ignore inference speed and practical applications. To address the above problems, we propose a new end-to-end spatio-temporal action localization network called You Watch Once More (YWOM). In this work, there are three measures proposed to improve the accuracy of positioning and recognition while guaranteeing the inference speed. First, a new feature fusion mechanism based on frequency channel attention (FCA) is proposed, which can effectively fuse the features extracted by different backbones. In addition, a new loss function is proposed to speed up the regression and convergence of the bounding box. Specifically, the SIOU regression loss function instead of the smooth L1 loss function is applied to help the model converge stably. Moreover, a lateral connection mechanism is designed to apply more backbones to our network structure. The experimental results demonstrate that YWOM can achieve online inference speed and has good performance of spatio-temporal action localization tasks. YWOM has superiority over other related works including YOWO on the UCF101-24 dataset. The frame-mAP and the video-mAP (0.2) are improved by 4.23% and 1.63% respectively.
Kynureninase knockdown inhibits cisplatin resistance in vivo and in vitro and impacts the prognosis of cervical adenocarcinoma
Authors: Zhang Jun-wen , Wang Ya-nan , Zhong Mei-ling , Liang Mei-rong 
Published: July 2023

Abstract
Background
Chemotherapy resistance is a leading cause of treatment failure in cases of cervical adenocarcinoma (ADC), and no effective treatment approach has yet been found. We previously identified the differentially expressed kynureninase (KYNU) mRNA in cervical adenocarcinoma cells (HeLa) and cervical adenocarcinoma cisplatin resistance cells (HeLa/DDP) using gene chips. However, the role and potential mechanism of KYNU in the cisplatin resistance of cervical adenocarcinoma remain unclear.
Methods
We verified the expression of KYNU in the cells and tissues of ADC patients and analyzed its correlation with patient prognosis. A stable HeLa/DDP cell line with KYNU mRNA knockdown was constructed. We then used a CCK8 assay to detect cell survival, a transwell assay to evaluate cell migration and proliferation and flow cytometry to measure apoptosis. The effect of KYNU silence on cisplatin sensitivity was evaluated in an orthotopic model of metastatic ADC. Immunohistochemistry was performed to determine the changes in relevant drug resistance-associated protein expression, aiming to explore the underlying mechanism of KYNU-mediated drug resistance.
Results
KYNU is overexpressed in HeLa/DDP cells and tissues and is associated with the poor prognoses of patients with ADC. After KYNU mRNA knockdown, the invasion, migration, and proliferation of HeLa/DDP cells in the cisplatin environment significantly reduced, while the apoptosis rate of HeLa/DDP cells significantly increased. Meanwhile, KYNU knockdown improved the DDP sensitivity of ADC in vivo. Furthermore, silencing KYNU decreased the expressions of CD34 and the drug-resistance related proteins P-gp, MRP1, and GST-π and increased the level of the proapoptotic regulatory protein Bax.
Conclusion
KYNU deficiency enhanced DDP sensitivity by suppressing cell proliferation, migration, and invasion and promoting apoptosis in DDP-resistant ADC cells in vitro. Furthermore, KYNU knockdown improved the drug sensitivity of ADC in vivo. The results showed that KYNU is involved in the chemotherapy resistance of cervical adenocarcinoma.
Microstate Analysis of Infant EEG: Tutorial and Reliability
Authors: Bagdasarov Armen , Brunet Denis , Michel Christoph M. , Gaffrey Michael S. 
Published: July 2023

Abstract
Microstate analysis of resting-state EEG is a unique data-driven method for identifying patterns of scalp potential topographies, or microstates, that reflect stable but transient periods of synchronized neural activity evolving dynamically over time. During infancy – a critical period of rapid brain development and brain plasticity – microstate analysis offers a unique opportunity for characterizing the spatial and temporal dynamics of brain activity. However, whether measurements derived from this approach (e.g., temporal properties, transition probabilities, neural sources) show strong psychometric properties (i.e., reliability) during infancy is unknown and key information for advancing our understanding of how microstates are shaped by early life experiences and whether they relate to individual differences in infant abilities. A lack of methodological resources for performing microstate analysis of infant EEG has further hindered adoption of this cutting-edge approach by infant researchers. As a result, in the current study, we systematically addressed these knowledge gaps and report that all microstate-based measurements of brain organization and functioning except for transition probabilities were highly stable and reliable with as little as 2–3 minutes of video-watching resting-state data and provide a step-by-step tutorial, accompanying website, and open-access data for performing microstate analysis using a free, user-friendly software called Cartool. Taken together, the current study supports the reliability and feasibility of using EEG microstate analysis to study infant brain development and increases the accessibility of this approach for the field of developmental neuroscience.
A novel nomogram and risk classification system for predicting overall survival in mucinous gastric adenocarcinoma：a population-based study
Authors: Wang Pengchao , Xia Qingcheng , Lu Ming , Shi Yexin , Song Qingyu , Wang Zijun , Zhao Qinghong , Ma Xiang 
Published: July 2023

Abstract
Purpose
Gastric mucinous adenocarcinoma (MGC) is an uncommon and special malignant tumor. There is currently no research has been conducted on MGC patient survival risk factors. Hence, the objective of this study was to develop and validate a prognostic prediction model for predicting survival outcomes in MGC patients.
Methods
A total of 586 patients diagnosed with MGC between 2004 and 2015 were extracted from the SEER database. Using univariate and multivariate Cox proportional regression models, independent prognostic factors for overall survival (OS) in MGC patients were identified. Based on these factors, a prognostic model for MGC was established. The prediction accuracy and reliability of the novel model were evaluated utilizing concordance-index (C-index), calibration curve, receiver-operator-curve (ROC) and clinicaldecision-curve-analysis (DCA).
Results
Multivariate Cox regression analysis revealed that age at diagnosis, marital status, pT stage, M, surgery status, radiotherapy and chemotherapy are independent influencing factors of OS in patients with MGC. The model C-index and the area-under-the-curve (AUC) values indicted a high level of differentiation. The calibration curve also demonstrates that the predicted values and actual observed values are in good correlation. Additionally, the DCA curve demonstrates that the nomogram is vastly superior to the 8th edition of the TNM staging system, has superior predictive performance, and is more clinically applicable.
Conclusions
The prediction model constructed and validated for the first time has exceptional prediction performance, can accurately estimate the OS of MGC patients, has a certain reference value for clinical patients, and is beneficial to the management of clinical patients.