bluuebunny/crossref_metadata_2025_split huggingface dataset:
EEG-Based Driving Fatigue Alleviation Using Multi-Acupoint Electrical Stimulation Combine Music Conditioning Method
Authors: Wang Fuwang , Kang Xiaogang , Lu Bin , Wang Hao , Fu Rongrong 
Published: August 2021

Abstract
In the present work, we propose the multi-acupoint electrical stimulation (stimulating the Láogóng point (劳宫PC8) and acupuncture points on waist, shoulders, buttocks of the human body) combined with music conditioning (MESCMC) to alleviate driving fatigue. In our study, the complexity of α and β rhythms of EEG of the drivers, the relative power spectrum of θ and β, as well as two relative power spectrum ratio θ/β and (θ+α)/(α+β) are used as fatigue features during driving. The features of the complexity, which can effectively reflect brain activity information, were used to detect the change of driving fatigue over time. Combined with the traditional relative power spectrum features, the changes in driving fatigue features were comprehensively analyzed. The results show that the MESCMC method can effectively alleviate the mental fatigue of drivers. Besides, compared with the single-acupoint electrical stimulation[only stimulating the Láogóng point (劳宫PC8)] (SES) method, the MESCMC method is more effective in relieving driving fatigue.The mitigation equipment is low in cost and practical, and the MESCMC method is individualized and improves the universality of driving fatigue detection and relieve, so will be practical to use in actual driving situations in the future.
Adverse Events of Inactivated COVID-19 Vaccine in HIV-Infected Adults
Authors: Wu Songjie , Zhang Yubin , Ming Fangzhao , Zou Shi , Wu Mengmeng , Guo Wei , Tang Weiming , Liang Ke 
Published: August 2021

Abstract
This study aims to evaluate the safety of inactivated COVID-19 vaccineamong adult people living with HIV (PLWH). In total, 259 PLWH who received at least one dose of inactivated COVID-19 vaccine were enrolled, and post-vaccination adverse events (AEs) were evaluated seven days following each vaccination dose. The overall AE frequency was 22.8% after dose one, which was higher than after dose two(10.2%)(P＜0.001). No severe side event or vaccine safety concern was observed. Our finding was essential in reducing vaccine hesitancy among PLWH.
WITHDRAWN: Identification of TFE3/TFEB and its Related Genes as Prognostic Biomarkers in Acute Myeloid Leukemia
Authors: Li Qiaoli 
Published: August 2021

Abstract
Background: Acute myeloid leukemia (AML) is one of the most common hematologic malignances with an ever-increasing incidence and high mortality. TFE3 and TFEB, two transcription factors that mediate cellular adaptation to stress by simultaneously promoting lysosomal biogenesis, autophagy induction, as well as expression of critical mitochondrial and metabolic regulators, which are substantial contributors to cell fate and cancer progress. However, the expression and prognostic values of TFE3/TFEB in AML have not been clarified.Objective: To explore the expression and role of TFE3/TFEB in AML and thus to find potential therapy. Methods: RNA sequence data from AML patients and healthy donors were obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) analysis were performed by GEO2R. TFE3/TFEB related genes were obtained from UALCAN. Gene ontology (GO) and KEGG pathway were analyzed by WEB-based GEne SeT AnaLysis Toolkit (WebGestalt) and DAVID. Protein-protein interactions (PPIs) network construction and module analysis were performed by STRING and Cytoscape. The Kaplan-Meier survival curves were drawn in TCGA portal. Results: We found TFE3 and TFEB can be used prognostic factors for AML, and most of their positively related genes were worse prognostic factors too. ITGB2, FGR, ITGAM, ITGAX and SELPLG were identified as the most significant genes in survival-related genes contributed by TFE3 and TFEB.Conclusions: In this study, we performed a comprehensive analysis of gene expression and gene function to identify key prognostic biomarkers in AML.
Comprehensive Biological Information Analysis of PTEN Gene in Pan-Cancer
Authors: Zhang Hang , Zhou Wenhan , Yang Xiaoyi , Wen Shuzhan , Zhao Baicheng , Feng Jiale , Chen Bozhou , Chen Shuying 
Published: August 2021

Abstract
Background: PTEN is a multifunctional tumor suppressor gene mutating at high frequency in a variety of cancers. However, its expression in pan-cancer, correlated genes, survival prognosis, and regulatory pathways are not completely described. Here, we aimed to conduct a comprehensive analysis from the above perspectives in order to provide reference for clinical application. Methods: we studied the expression levels in cancers by using data from TCGA and GTEx database. Obtain expression box plot from UALCAN database. Perform mutation analysis on the cBioportal website. Obtain correlation genes on the GEPIA website. Construct protein network and perform KEGG and GO enrichment analysis on the STRING database. Perform prognostic analysis on the Kaplan-Meier Plotter website. We also performed transcription factor prediction on the PROMO database and performed RNA-RNA association and RNA-protein interaction on the RNAup Web server and RPISeq. The gene 3D structure, protein sequence and conserved domain were obtained in NCBI respectively.Results: PTEN was underexpressed in all cancers we studied. It was closely related to the clinical stage of tumors, suggesting PTEN may involved in cancer development and progression. The mutations of PTEN were present in a variety of cancers, most of which were truncation mutations and missense mutations. Among cancers (KIRC, LUAD, THYM, UCEC, Gastric Cancer, Liver Cancer, Lung Cancer, Breast Cancer), patients with low expression of PTEN had a shorter OS time and poorer OS prognosis. The low expression of PTEN can cause the deterioration of RFS in certain cancers (TGCT, UCEC, LIHC, LUAD, THCA), suggesting that the expression of PTEN was related to the clinical prognosis. Our study identified genes correlated with PTEN and performed GO enrichment analysis on 100 PTEN-related genes obtained from the GEPIA website. Conclusions: The understanding of PTEN gene and the in-depth exploration of its related regulatory pathways may provide insight for the discovery of tumor-specific biomarkers and clinical potential therapeutic targets.
Varus and Steep Medial Posterior Tibial Slope Are Risk Factors for Degenerative Medial Meniscus Lesions
Authors: Xu Tao , Xu Liuhai , Li Xinzhi , Zhou You 
Published: August 2021

Abstract
Purpose: Degenerative medial meniscus lesions(DMMLs) is different from other meniscus injuries, which have a high incidence and easy to miss diagnosis in the middle-aged and elderly. The present study was designed to identify the risk factors for DMMLs among an Asian sample.Methods: The experimental group included 121 patients（ones partly confirmed during arthroscopic surgery) with DMMLs and the control group included 51 patients with no pathological changes identified by using 3.0-T magnetic resonance imaging (MRI) from January 2017 to January 2021 were analyzed retrospectively. By full-length anteroposterior radiographs of lower limbs in weight-bearing position of the two groups, the Hip-Knee-Ankle (HKA) angle in the coronal plane and the Medial Posterior Tibial Slope(MPTS) in the sagittal plane were measured by the MRI T1 sequence of the knee. The potential risk factors of DMMLs were analyzed by multivariate logistic regression. The independent variables included gender, age, body mass index (BMI), occupational kneeling, Kellgren-Lawrence (K-L) grade, HKA, and MPTS.Results: T-test analysis between the Experimental Group and the Control Group showed statistically significant differences in age (t=10.718, p<0.001), BMI (t=7.300, p<0.001), HKA (t=8.677, p<0.001), and MPTS (t=5.025, p<0.001). Chi-square test analysis between the two groups showed no statistically significant differences in gender (t=0.183, p=0.669) and occupational kneeling (t=0.339, p=0.560). Non-parametric analysis showed statistically significant differences in K-L (z=5.857, p<0.001) between the two groups. Logistic regression analysis showed that age, BMI, HKA, and MPTS were risk factors for DMMLs among the above-mentioned variables with statistically significant differences.Conclusions: varus, steep MPTS, advancing age and obesity were risk factors for DMMLs.
Variation in Community and Ambulance Care Processes for Out-of-Hospital Cardiac Arrest During the COVID-19 Pandemic: A Systematic Review and Meta-Analysis
Authors: Masuda Yoshio , Teoh Seth , Yeo Jun Wei , Tan Darren , Lim Shir Lynn , Ong Marcus , Blewer Audrey , Ho Andrew 
Published: August 2021

Abstract
Bystander cardiopulmonary resuscitation (BCPR) and early defibrillation can double the chance of survival from out-of-hospital sudden cardiac arrest (OHCA). We investigated the effect of COVID-19 on the pre-hospital chain of survival. We searched five bibliographical databases for articles that compared prehospital OHCA care processes during and before the COVID-19 pandemic. Random effects meta-analyses were conducted, and meta-regression with mixed-effect models and subgroup analyses were conducted where appropriate. The search yielded 966 articles; 20 articles were included in our analysis. OHCA at home was more common during the pandemic (OR=1.38, 95%CI 1.11-1.71, p=0.0069). BCPR did not differ between COVID-19 and Pre-COVID-19 populations (OR=0.94, 95%CI 0.80-1.11, p=0.4631), although bystander defibrillation was significantly lower during the COVID-19 period (OR=0.65, 95%CI 0.48-0.88, p=0.0107). EMS call-to-arrival time was significantly higher in COVID-19 populations (SMD=0.27, 95%CI 0.13-0.40, p=0.0006). Resuscitation duration did not differ significantly between pandemic and pre-pandemic timeframes. The COVID-19 pandemic significantly affected prehospital processes for OHCA. These findings may inform future interventions, particularly to consider interventions to increase BCPR and improve the pre-hospital chain of survival.
Accelerating Neural Network Training with Distributed Asynchronous and Selective Optimization (DASO)
Authors: Coquelin Daniel , Debus Charlotte , Götz Markus , Lehr Fabrice von der , Kahn James , Siggel Martin , Streit Achim 
Published: August 2021

Abstract
With increasing data and model complexities, the time required to train neural networks has become prohibitively large. To address the exponential rise in training time, users are turning to data parallel neural networks (DPNN) and large-scale distributed resources on computer clusters. Current DPNN approaches implement the network parameter updates by synchronizing and averaging gradients across all processes with blocking communication operations after each forward-backward pass. This synchronization is the central algorithmic bottleneck. We introduce the Distributed Asynchronous and Selective Optimization (DASO) method, which leverages multi-GPU compute node architectures to accelerate network training while maintaining accuracy. DASO uses a hierarchical and asynchronous communication scheme comprised of node-local and global networks while adjusting the global synchronization rate during the learning process. We show that DASO yields a reduction in training time of up to 34% on classical and state-of-the-art networks, as compared to current optimized data parallel training methods.
‘Some Refugees Move because the Health Facilities in the Settlement are not Good’: A Qualitative Study of Factors Influencing Movement of Somali Refugees from Nakivale Settlement to Kampala City
Authors: Bagonza Pape , KYALIGONZA TADDEO , BAGONZA ARTHUR 
Published: August 2021

Abstract
Background: There is a growing number of urban refugees that may necessitate local government and humanitarian organizations to factor in when planning for the urban infrastructure as this has proved to be a planning blind spot. This study assessed factors influencing Somali refugee movement from Nakivale refugee settlement to Kampala, the capital city of Uganda. Methods: Six key informant interviews were held with the Principle Protection Officer-OPM, Legal Coordinator-NRC, Manager Access to Justice Program-RLP, Psychosocial Counsellor-JRS, Somali elder Nakivale settlement and the Chairperson-SCK. Three focus group discussions were conducted with one group of male and two groups of female Somali refugees. Transcripts were managed using Atlas ti version 7 (ATLAS. Ti GmbH, Berlin). Results: The need for better basic needs such as food, water, health care, education, employment, a better quality life and difficulties related to having a language barrier emerged in the first theme. Movement due to political and cultural persecution emerged as a combined theme of security. The need for better economic benefits, livelihood support and an enabling refugee policy were influencers. The study also revealed that Somali refugees are a well-knit society with a robust communication network that relies on Islamic religion and country background in exploiting connections that enable those who move from Nakivale settlement to quickly adapt to the situation in Kampala.Conclusion: Somali movement from Nakivale refugee settlement to Kampala is influenced by a need for better basic needs and security; economic benefits, livelihood support and an enabling refugee policy which guarantees freedom of movement. A communication network based on religion and country background are facilitators.
Comprehensive Analysis of the Expression and Prognosis for Signal Transducer and Activator of Transcription Family of Genes in Acute Myeloid Leukemia
Authors: Qin Tong , Shao Yunli , Zhao Hongmian 
Published: August 2021

Abstract
BackgroundIn recent years, it has become clear that signal transducer and activator of transcription (STAT) family of genes play an important role in cancer. However, the expression level, genetic variation, molecular mechanism, and biological function of different STATs in acute myeloid leukemia (AML) and its relationship with prognosis and immune infiltration in patients with AML have not been fully elucidated.ResultsWe found that the expression levels of STAT1, STAT2, STAT4, and STAT6 were higher in AML than in normal tissues, whereas the expression levels of STAT3, STAT5A, and STAT5B were lower in the former than in the latter. Survival analysis revealed that high transcription level of STAT6 was associated with low overall survival (OS) in patients with AML. Conversely, high STAT5B level predicted superior OS in these patients. Cox multivariate analysis as well as least absolute shrinkage and selection operator (LASSO) regression screening showed that STAT5B expression is a good independent prognostic factor of OS. The functions of STAT5B are mainly related to the occurrence, development and microenvironment of AML. We also discovered that the expression of STAT5B was significantly correlated with immune infiltrates in AML.Conclusions﻿STAT5B may be used as a novel predictive biomarker and immunotherapy target for AML patients.
Identification of an Elite Core Panel as a Key Breeding Resource to Accelerate the Rate of Genetic Improvement for Irrigated Rice
Authors: Juma Roselyne U. , Bartholomé Jérôme , Prakash Parthiban Thathapalli , Hussain Waseem , Platten John Damien , Lopena Vitaliano , Verdeprado Holden , Murori Rosemary , Ndayiragije Alexis , Katiyar Sanjay K. , Islam Mohammad Rafiqul , Biswas Partha S. , Rutkoski Jessica Elaine , Arbelaez Juan David , Mbute Felister Nzuve , Miano Douglas Watuku , Cobb Joshua Nathaniel 
Published: August 2021

Abstract
Rice genetic improvement is a key component of achieving and maintaining food security in Asia and Africa in the face of growing populations and climate change. In this effort, the International Rice Research Institute (IRRI) continues to play a critical role in creating and disseminating rice varieties with higher productivity. Due to increasing demand for rice, especially in Africa, there is a strong need to accelerate the rate of genetic improvement for grain yield.In an effort to identify and characterize the elite breeding pool of IRRI’s irrigated rice breeding program, we analyzed 102 historical yield trials conducted in the Philippines during the period 2012-2016 and representing 15,286 breeding lines (including released varieties). A mixed model approach based on the pedigree relationship matrix was used to estimate breeding values for grain yield, which ranged from 2.12 to 6.27 t·ha-1. The rate of genetic gain for grain yield was estimated at 8.75 kg·ha-1·year-1 (0.23%) for crosses made in the period from 1964 to 2014. Reducing the data to only IRRI released varieties, the rate doubled to 17.36 kg·ha-1·year-1 (0.46%). Regressed against breeding cycle the rate of gain for grain yield was 185 kg·ha-1·cycle-1 (4.95%). We selected 72 top performing lines based on breeding values for grain yield to create an elite core panel (ECP) representing the genetic diversity in the breeding program with the highest heritable yield values from which new products can be derived. The ECP closely aligns with the indica 1B sub-group of Oryza sativa that includes most modern varieties for irrigated systems. Agronomic performance of the ECP under multiple environments in Asia and Africa confirmed its high yield potential.We found that the rate of genetic gain for grain yield found in this study was limited primarily by long cycle times and the direct introduction of non-improved material into the elite pool. Consequently, the current breeding scheme for irrigated rice at IRRI is based on rapid recurrent selection among highly elite lines. In this context, the ECP constitutes an important resource for IRRI and NAREs breeders to carefully characterize and manage that elite diversity.
Variation in Patterns and Volumes of Injuries Admitted to a Level One Trauma Center During Lockdown for COVID-19
Authors: Ower Cornelia , Stock Kerstin , Kaiser Peter , Ulmer Hanno , Rohit Arora , Haselbacher Matthias 
Published: August 2021

Abstract
IntroductionDue to the global COVID-19 pandemic, a ban on sports outside one’s home and a prohibition on travel between communities were imposed in spring 2020 in Tyrol, Austria. The aim of this study was to evaluate the impact of these restrictions on a level one trauma center. The objective was to identify the most common injury patterns to ensure targeted prevention in times of an ongoing pandemic.Material and MethodsPatients who presented themselves to our trauma center between week 7 and 22 in 2020 were retrospectively compared to a mean of the patients of the three previous years (2017-2019). The evaluated variables were number of patients, age, gender, country of residence, place of accident, time of treatment, injured body region and anatomical structure, number of surgical intervention and severely injured patients. ResultsComparing the mean count of treated patients per week in 2020 of the pre-lockdown period (n=804.6) with the lockdown period (n=201.8) a decrease in admissions by 69.7% could be observed. The admission incidence was 9.9 times higher in previous years than in 2020 during the lockdown period. Among the injuries treated during the lockdown the largest increase in relative numbers was in home injuries, head or face injuries, and superficial or penetrating injuries. There was a decrease of seriously injured patients as well as patients that needed surgery during the lockdown compared to previous years. ConclusionsWe observed a significant change in the pattern and volume of injuries during a strict lockdown. Intervention programs to reduce the risk of home injuries should be introduced. Furthermore, in order to save resources during a pandemic, specific guidelines on patient management and treatment should be established for the respective medical specialties.Trial registration: 1157/2020, 10.12.2020
Identification of Specific Role of SNX Family in Gastric Cancer Prognosis Evaluation
Authors: Hu Beibei , Yin Guohui , Sun Xuren 
Published: August 2021

Abstract
Project: We here perform a systematic bioinformatic analysis to uncover the role of SNX family in clinical outcome of gastric cancer (GC). Methods: Comprehensive bioinformatic analysis were realized with online tools such as TCGA, GEO, String, Timer, cBioportal and Kaplan-Meier Plotter. Statistic analysis was conducted with R language, and artificial neural network was constructed using Python.Results: Our analysis demonstrated that SNX4/5/6/7/8/10/13/14/15/16/20/22/25/27/30 were higher expressed in GC, whereas SNX1/17/21/24/33 were in the opposite expression profiles. Clustering results gave the relative transcriptional levels of 30 SNXs in tumor, and it was totally consistent to the inner relevance of SNXs at mRNA level. Protein-Protein Interaction (PPI) map showed closely and complex connection among 33 SNXs. Tumor immune infiltration analysis asserted that SNX1/3/9/18/19/21/29/33, SNX1/17/18/20/21/29/31/33, SNX1/2/3/6/10/18/29/33, and SNX1/2/6/10/17/18/20/29 were strongly correlated with four kinds of survival related TIICs, including Cancer associated fibroblast, endothelial cells, macrophages and Tregs. Kaplan-Meier survival analysis based on GEO presented more satisfactory results than that based on TCGA-STAD did, and all the 29 SNXs were statistically significant, SNX12/23/28 excluded. SNXs alteration contributed to MSI or higher level of MSI-H (hyper-mutated MSI or high level of MSI), and other malignancy such as mutation of TP53, ARID1A and MLH1.The multivariate cox model performed excellently in patients risk classification, for those with higher risk-score suffered from OS period and susceptibility to death as well as tumor immune infiltration. Compared to previous researches, our ANN models shown a predictive power at a middle-upper level, with AUC of 0.87/0.72, 0.84/0.72, 0.90/0.71, 0.94/0.66, 0.83/0.71, 0.88/0.72 corresponding to one-, three- and five-year OS and RFS estimation, but we were totally sure that those models would perform great better if given larger-size samples, which served as evidence to specific role of SNX family in prognosis assessment in GC. Conclusion: The SNX family shows great value in postoperative survival of GC, and artificial neural network models constructed using SNXs transcriptional data manifest excellent predictive power in both OS and RFS evaluation.
Retinal Vascular changes in Femtosecond Laser-Assisted Cataract Surgery by Optical Coherence Tomography Angiography
Authors: Zhang Hong , Tan Liangzhang , Tian Fang , Gong Xue , Chen Lu , Ma Zhiqiong , Liang Jingli , Li Xiaorong 
Published: August 2021

Abstract
Purpose To assess the changes in retinal vasculature and thickness after femtosecond laser-assisted cataract surgery (FLACS) using optical coherence tomography angiography (OCTA).Methods Fifty-six eyes of 56 patients with age-related cataract were enrolled in this study. Patients were divided into FLACS or conventional phacoemulsification surgery (CPS) due to the choice of operation. Vessel density (VD) and thickness at the macular area and optic nerve head (ONH) were checked by OCTA at baseline and at 1 day, 1 month and 3 months after cataract surgery.Results In the FLACS group: The radial peripapillary capillary (RPC) density displayed a significant reduction during the follow-up (P < 0.05), even when the retinal nerve fiber layer (RNFL) thickness was not significantly changed. There was a significant negative correlation between the changes in RPC density and femtosecond laser-assisted pre-treatment time (FLAPT) at 1 day and 1 month after cataract surgery respectively (both P < 0.05). At 3 months postoperatively, the macular thickness had a significant increase in all regions (all P < 0.05). In the CPS group, the retinal VD and thickness did not show statistically significant changes in all regions during the follow-up (all P > 0.05). However, the best corrected visual acuity (BCVA) was significantly improved in both groups postoperatively (both P < 0.001).Conclusions OCTA provided a promising analysis of retinal vascular alterations, demonstrating the reduction of RPC density and the increase of macular thickness after FLACS. However, these changes had no effect on the improvement of visual acuity after cataract surgery.