bluuebunny/crossref_metadata_2025_split huggingface dataset:
Integration of Genetic and Immune Infiltration Insights into Data Mining of Multiple Sclerosis Pathogenesis
Authors: Zhang Xiaoyun , Song Ying , Chen Xiao , Zhuang Xiaojia , Wei Zhiqiang , Yi Li 
Published: October 2021

Abstract
Background: Multiple sclerosis (MS) is an immune-mediated demyelinating disease of the central nervous system. MS pathogenesis is closely related to the environment, genetic, and immune system, but the underlying interactions have not been clearly elucidated. This study aims to unveil the genetic basis and immune landscape of MS pathogenesis with bioinformatics.Methods:Gene matrix wasretrieved from the gene expression database NCBI GEO. Then, bioinformatics was used to standardize the samples and obtain differentially expressed genes (DEGs). The protein-protein interaction network was constructed with DEGs on the STRING website. Cytohubbaplug-in and MCODE plug-in were used to mine hub genes. Meanwhile, the CIBERSORTX algorithm was used to explore the characteristics of immune cellinfiltration in MS brain tissues. Spearman correlation analysis was performed between genes and immune cells, and the correlation between genes and different types of brain tissues was also analyzed using the WGCNA method.Results:A total of 90 samples from 2 datasetswere included, and 882 DEGs and 10 hub genes closely related to MS were extracted. Functional enrichment analysis suggested the roleof immune response in MS. Besides,CIBERSORTX algorithm results showed that MS brain tissuescontained a variety of infiltrating immune cells. Correlation analysis suggested that the hub genes were highly relevant to chronic active white matter lesions.Certain hub genes played a role in the activation of immune cells such as macrophages and natural killer cells.Conclusions: Our study shall provideguidance for the further study of the genetic basis and immune infiltration mechanism of MS.
How Far are Autonomous Vehicles from Driving in Real Traffic? The Adaptability Analysis of Autonomous Vehicles to Cut-in Scenarios in China
Authors: Zhao Shulian , wang ke , Long Yan , Chen Junlan 
Published: October 2021

Abstract
At present, autonomous vehicle technologies (AVTs) have been extensively researched and developed, but there is less research focused on the adaptability of current AVTs to the real traffic. Whether AVTs can be competent in the real driving environment is still an issue. To ﬁll the gap, this paper ﬁrst collected a great amount of driving data from more than 60 Chinese drivers and established a big natural driving database covering millions of kilometers, all-weather and all working conditions. Then, using the dataset, 3044 cut-in scenarios related to automatic driving were extracted and their characteristics were analyzed based on the cluster method. According to the distribution of cut-in behavior, the related technical requirements of autonomous vehicles were clearly detailed, analyzed, and evaluated from the perspectives of perception, intelligent networking, and motion planning. Finally, from the comparative analysis, we draw the adaptation conclusions of the current AVTs to the real traffic and point out the unsolved challenges. Our conclusions could be very useful for motor corporations and researchers to draw their attention to the complexity of the Chinese traffic environment, and for policy-makers to think about making new AVTs policies in anticipation of the advent of future autonomous vehicles.
Does the Core Position of Cervical Microbial Community Analysis in Predicting Cervical Intraepithelial Neoplasia Malignant Transformation?
Authors: Wang He , Jiang Yanming , Liang Yuejuan , Wei Lingjia , Zhang Wei , Li Li 
Published: October 2021

Abstract
Objective：Cervical microbial community in the cervical intraepithelial neoplasia and cervical cancer patients was analysed to study its composition, diversity and signalling pathways by high-throughput 16S rDNA sequencing,and the candidate genes associated with occurrence and progression of cervical intraepithelial neoplasia were screened out and the model was established to predict the evolution of cervical intraepithelial neoplasia malignant transformation from the cervical microbial genes aspect. Methods：Cervical tissues of normal, cervical intraepithelial neoplasia and cervical cancer patients without receiving any treatment were collected. The correlation between candidate genes and cervical intraepithelial neoplasia progression was initially determined by analyzing the microbial flora. Real-time fluorescence quantitative PCR was used to detect the expression of candidate genes in different cervical tissues, ROC curve and logistic regression was used to analyse and predict the risk factors related to the occurrence and progression of cervical intraepithelial neoplasia. Finally, the early warning model of cervical intraepithelial neoplasia occurrence and progression is established. Results：Cervical tissues from normal, cervical intraepithelial neoplasia and cervical cancer patients were collected for microbial community high-throughput 16S rDNA sequencing. The analysis revealed five different pathways related to cervical intraepithelial neoplasia. 10 candidate genes were selected by further bioinformatics analysis and preliminary screening. Real time PCR, ROC curve and Logistic regression analysis showed that human papillomavirus infection, TCT severity, ABCG2, TDG, PCNA were independent risk factors for cervical intraepithelial neoplasia. We used these indicators to establish a random forest model. Seven models were built through different combinations.The model 4 (ABCG2 + PCNA + TDG) was the best early warning model for the occurrence and progression of CIN. Conclusions: A total of 5 differential pathways and 10 candidate genes related to occurrence and progression of cervical intraepithelial neoplasia were found in cervical microbial community. This study firstly identified the genes from cervical microbial community that play an important role in the occurrence and progression of cervical intraepithelial neoplasia. At the same time, the early warning model including ABCG2+PCNA+TDG genes provided a new idea and target for clinical prediction and blocking the evolution of cervical intraepithelial neoplasia malignant transformation from the aspect of cervical microbiological related genes.
Left-Sided Colorectal Cancer Distinct in Indigenous African Patients Compared to Other Ethnic Groups in South Africa.
Authors: McCabe M. , Penny C. , Magangane P. , Mirza S. , Perner Y. 
Published: October 2021

Abstract
Introduction: A large proportion of indigenous African (IA) colorectal cancer (CRC) patients in South Africa are young (<50years), with no unique histopathological or molecular characteristics. Anatomical site as well as microsatellite instability (MSI) status have shown to be associated with different clinicopathological and molecular features. This study aimed to ascertain key histopathological and miRNA expression patterns in microsatellite stable (MSS) and low-frequency MSI (MSI-L) patients, to provide insight into the mechanism of the disease. Methods: A retrospective cohort (2011-2015) of MSS/MSI-L CRC patient samples diagnosed at Charlotte Maxeke Johannesburg Academic Hospital was analyzed. Samples were categorized by site [Right colon cancer (RCC) versus left (LCC)], ethnicity [IA versus other ethnic groups (OEG)] and MSI status (MSI-L vs MSS). T-test, Fischer’s exact and Chi-square tests were conducted. Additional miRNA expression profiling was performed on IA patient samples. Results: IA patients with LCC demonstrated an increased prevalence in males, sigmoid colon, signet-ring-cell morphology, MSI-L with BAT25/26 marker instability and advanced disease association. MiRNA expression profiling revealed unique clustering, with dysregulation of let-7 and miRNA-125. Conclusion: This study revealed distinct histopathological features for LCC, and suggests BAT25/26, miRNAs let-7a-5p and miRNA-125a/b-5p as negative prognostic markers in African CRC patients. Larger confirmatory studies are recommended.
Bio-Organic Fertilizers Manipulate Abundance Patterns of Rhizosphere Soil Microbial Community Structure To Improve Tomato Productivity
Authors: Li Bintao , Guo Luodi , Wang Haoming , Li Yulong , Lai Hangxian , Wang Xudong , Wei Xiaomin 
Published: October 2021

Abstract
Background Bio-organic fertilizers has been shown to improve crop yields, partially because of the effects on the structure and function in resident soil microbiome. Purpose and methods Whereas, it is unknown if such improvements have been facilitated by the particular action of microbial inoculants, or the compost substrate. To understand the ecological mechanisms to increase crop productivity by bio-organic fertilizers, we conducted a pot experiment tracking soil physicochemical factors and extracellular enzyme activity over two growth stages and variations of soil microbial communities caused by fertilization practices as below: Bacillus subtilis CY1 inoculation, swine compost, and bio-organic fertilizer. Results Results showed that different fertilization measures, especially bio-organic fertilizers, increased soil nutrients, enzyme activity, and the diversity of microbial communities. For quantifying the “effect size” of microbiota manipulation, we discoverd that, respectively, 19.94% and 48.99% of variation in the bacterial and fungal communities could be interpreted using tested fertilization practices. Fertilization-sensitive microbes showed taxonomy diversity and gave responses as guilds of taxa to specific treatments. The microbes exhibited medium to high degree of co-occurrence in the network and could be recruited, directly or indirectly, by B. subtilis CY1, suggesting that bio-organic fertilizer may allow manipulation of influential community members.Conclusion Together we demonstrated that the increase in tomato productivity by bio-organic fertilizer was caused by the synergistic effect of organic fertilizer and beneficial microorganisms, thus providing novel insights into the soil microbiome manipulation strategies of biologically-enhanced organic fertilizers.
Industrial Agglomeration and Carbon Neutrality in China: Lessons and Evidence
Authors: Tang Dengli , Peng Zhongwen , Yang Yuanhua 
Published: October 2021

Abstract
How does the agglomeration economy affect carbon emissions? Does it hinder China's zero-carbon emissions and carbon neutral goals? This study explored the impact of industrial agglomeration on carbon emissions and spatial spillover effects by expanding the output density theoretical model of Ciccone & Hall. The main findings are as follows: (1) Industrial labor and technology agglomerations increase regional carbon emissions, while industrial output agglomeration reduces emissions in the immediate term. Industrial capital agglomeration has no significant immediate effect on carbon emission. (2) Industrial output and technology agglomerations have significant lag effects. Output agglomeration increases carbon emissions, while technology agglomeration reduces emission levels. (3) The impact of industrial output agglomeration on regional carbon emissions shifts from a positive inhibitory effect into a negative aggravating effect. In comparison, industrial technology agglomeration transitions from increasing carbon emissions in the immediate term into having a suppressing effect in the long term. (4) There are significant regional differences in the impact of industrial output and capital agglomerations, while industrial labor and technology agglomerations showed no significant regional difference. The results are important in developing policies and strategies of the economy and the environment.
The SNAI2-ELF3-AS1 Feedback Loop Drives Gastric Cancer Metastasis and Regulates ELF3 Expression At Transcriptional and Post-Transcriptional Levels
Authors: Li Dandan , Shen Li , Xu Mengjie , Zhang Xudong , Chen Zhen , Huang Pan , Huang Congcong , Qin Shanshan 
Published: October 2021

Abstract
BackgroundThe reason for continued overexpression of SNAI2 in tumor metastasis remains largely unclear. The oncogene SNAI2 promotes tumor metastasis by regulating the expression of downstream target genes. In theory, these target genes should include not only protein-coding genes or miRNAs, but also lncRNAs. However, no lncRNA has been reported to be regulated by SNAI2 to date. MethodsRNA-seq, CHIP and dual-luciferase reporter assay were performed to identify lncRNAs regulated by SNAI2. MicroRNA-seq and RNA-seq studies were conducted to reveal the biological function of ELF3-AS1 in GC. RNA pulldown and CHIRP assays were conducted to identify the protein that interacts with ELF3-AS1. ResultsIn this study, the lncRNAs that regulated by SNAI2 were identified in gastric cancer (GC) by RNA sequencing. The ELF3 gene and its antisense lncRNA ELF3-AS1 were both transcriptionally repressed by SNAI2 or SNAI1. Down-regulation of ELF3-AS1 and ELF3 predicted poor prognosis in GC. Nuclear localized lncRNA ELF3-AS1 negatively regulated GC cell cycle progression via suppressing G1/S transition and histone synthesis. ELF3-AS1 mainly inhibited GC metastasis by repressing SNAI2 signaling. Additionally, ELF3-AS1 modulated ELF3 mRNA stability by RNA-RNA interaction. The RNA duplexes formed by ELF3 mRNA and lncRNA ELF3-AS1 directly interacted with NF45/NF90 complex. In turn, the NF45/NF90 complex dynamically regulated the expression of ELF3-AS1 and ELF3 by affecting the stability of the RNA duplex. ConclusionsThe double-negative feedback loop SNAI2-ELF3-AS1 drives GC metastasis by continuously activating SNAI2 signaling and regulates the expression of epithelial tumor suppressor ELF3 at transcriptional and post-transcriptional levels.
A Stage 1 Pilot Cohort Exploring the Use of EMDR Therapy as a Video-Conference Psychotherapy During Covid-19 – A Proof of Concept Study Utilising a Virtual Blind 2 Therapist Protocol
Authors: Farrell Derek , Fadeeva Anastasiia , Zat Zeynep , Knibbs Lorraine , Miller Paul , Barron Ian , Matthess Helga , Matthess Cordula , Gazit Neta , Kiernan Matthew D. 
Published: October 2021

Abstract
Background
The Covid-19 pandemic has had a major impact in the delivery of psychological treatment. Due to social distancing requirements provision moved to video-conferencing psychotherapy (VCP). There is a paucity of empirical data supporting the efficacy of EMDR therapy as a VCP. This stage 1 pilot study tested an EMDR therapy scripted protocol – Virtual Blind 2 Therapist (VB2T) as a VCP regarding fitness for purpose, distinctiveness, relevance, and efficiency.
Methods
Twenty-four participants were recruited to the study. The design included a one-session treatment intervention obtaining measures pre, post, one-month, and six-month follow-up. This treatment session used a ‘Blind 2 Therapist’ EMDR therapy scripted protocol as video-conference psychotherapy that involves non-disclosure of traumatic memory. The research explored the treatment effect on the core characteristics of the trauma memory including subjective disturbance, belief systems, memory intensity, vividness, and levels of emotionality. Additionally, the research explored participant’s experiences of adverse and benevolent childhood experiences (ACEs/BCEs) during their childhood.
Results
Regarding the four tests - fitness for purpose, distinctiveness, relevance, and efficiency results are favourably suggesting potential clinical benefits of using EMDR as video-conference psychotherapy. That said this is a proof-of-concept study showing positive results, however, no clinical population or control group was used. The purpose of the study is to explore the potential for scalability towards a larger clinical trial. The treatment intervention was achieved irrespective of either adverse or benevolent childhood experiences (ACEs/BCEs) during childhood
Conclusion
The research tentatively supports the case for EMDR therapy as a credible treatment when used as a video conference psychotherapy. More research is needed to scale towards a clinical trial.
Determination of the Environmental Flow Using the Modern Optimization Methods for Release Flow based on Game Theory
Authors: Foroughian Amir , Derikvand Ehsan , Eslami Hossein , Khoshnavaz Saeb 
Published: October 2021

Abstract
To prevent environmental risks and preserve water quality, it is necessary to determine the environmental flow of rivers. Water release from reservoirs can be used to determine the environmental flow and water quality at the downstream of a dam. In this study, considering the quantitative and qualitative objectives, water release from Dez dam was suggested as a way for preserving the environment of river. To identify the optimal release flow of Dam, an environmental zone was determined using the hydrological methods of Tennant and aquatic base flow. The Qual-2k model was used to simulate 6 quality parameters in River. The results proved its good potential for simulation of the studied quality parameters including BOD. The optimal river flow was determined by Game theory, and different qualitative and quantitative scenarios were studied using the Nash multiplying function. The results showed, with increases in qualitative and quantitative objectives of the problem, the optimal release flows are decreased and increased, respectively.
Anxiety and depression among racial/ethnic minorities and impoverished women testing positive for BRCA1/2 mutations in the United States
Authors: Dibble Kate E , Connor Avonne E 
Published: October 2021

Abstract
PurposeTo outline the association between race/ethnicity and poverty status and perceived anxiety and depressive symptomologies among BRCA1/2-positive United States (US) women to identify high-risk groups of mutation carriers from medically underserved backgrounds.Methods211 BRCA1/2-positive women from medically underserved backgrounds were recruited through national Facebook support groups and completed an online survey. Adjusted odds ratios (aOR) and 95% confidence intervals (CIs) were estimated using multivariable logistic regression for associations between race/ethnicity, poverty status, and self-reported moderate-to-severe anxiety and depressive symptoms.ResultsWomen ranged in age (18–75, M = 39.5, SD = 10.6). Most women were non-Hispanic white (NHW) (67.2%) and were not impoverished (76.7%). Hispanic women with BRCA1/2 mutations were 6.11 times more likely to report moderate-to-severe anxiety (95% CI, 2.16–17.2, p = 0.001) and 4.28 times more likely to report moderate-to-severe depressive symptoms (95% CI, 1.98–9.60, p = < 0.001) than NHW women with BRCA1/2. Associations were not statistically significant among other minority women. Women living in poverty were significantly less likely to report moderate-to-severe depressive symptoms than women not in poverty (aOR, 0.42, 95% CI, 0.18–0.95, p = 0.04).ConclusionHispanic women with BRCA1/2 mutations from medically underserved backgrounds are an important population at increased risk for worse anxiety and depressive symptomology. Our findings among Hispanic women with BRCA1/2 mutations add to the growing body of literature focused on ethnic disparities experienced across the cancer control continuum.
Determinants for Exercise Adherence and Maintenance for Cancer Survivors: Implementation of a Community-based Exercise Program. A Quality Feasibility Study
Authors: Ranes Maria , Wiestad Tor Helge , Thormodsen Inger , Arving Cecilia 
Published: October 2021

Abstract
PurposeResearch verifies that physical exercise plays an important part in recovery after cancer treatment. Despite this knowledge, multiple studies have shown that maintaining a physically active lifestyle after cancer is challenging. There is a need for effective implementation of exercise programs for cancer survivors in community care, with focus on exercise adherence and maintenance. This qualitative descriptive feasibility study explores experiences from the implementation of a four-month community-based exercise program for cancer survivors after completion of rehabilitation in the specialist health care service. MethodsFocus group interviews of fourteen cancer survivors after completing Rehabilitation: Physical activity and Coping, feasibility study. Data were analyzed using the systematic text condensation method. ResultsThe category determinates for exercise adherence and maintenance added four subcategories: peer-support, environment, structure and knowledge. ConclusionsA social and supportive exercise environment is important for exercise adherence and maintenance among cancer survivors. This knowledge can be useful in the further work with implementing high quality community-based exercise program for cancer survivors.
The Mediating Role of Coping in the Relationship Between Family Function and Resilience in Adolescents and Young Adults Who Have a Parent with Lung Cancer
Authors: Shao Lu , Zhong Jiudi , Wu He-ping , Yan Minghui , Zhang June 
Published: October 2021

Abstract
Purpose
Resilience plays an important role in helping individuals to adapt to adversity and improve their psychosocial outcome. This study aims to examine the mediating role of coping in the relationship between family function and resilience in adolescents and young adults (AYAs) who have a parent with lung cancer.
Method
A total of 135 AYAs with a lung cancer parent were recruited from a tertiary grade A cancer center in southern China, and investigated using a self-designed general information questionnaire, the Resilience Scale for Chinese Adolescents, the Simplified Coping Style Questionnaire, and the Family Adaptation, Partnership, Growth, Affection, Resolve index.
Results
The mean score of AYAs’ resilience was (3.61 ± 0.49), and its influencing factors included AYAs’ years in work, family function and positive coping. The total effect of family function on resilience was significant (total effect = 0.38, 95% CI [0.048–0.115]), and a positive indirect effect was identified for family function on resilience via positive coping (indirect effect = 0.10, 95% CI [0.005–0.043]).
Conclusion
Family functioning can facilitate resilience either directly or by promoting positive coping. This study suggests that individualized interventions can be made to improve resilience by promoting family function, or by enhancing positive coping in AYAs with a lung cancer parent.