bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dynamical patterns in gene expression profile after Influenza A virus (IAV) injection: A dynamic mode decomposition approach
Authors: semba Sherehe Joseph , Yang Huijie 
Published: August 2022

Abstract
Background: The records of the interesting genes expressions have stimulated new development of analysis techniques and subsequently understanding the gene co-expressions. However, a simple method to extract the patterns with more preserved information in high-dimensional gene expressions profile is still an open challenge. In this article, the coherent dynamical pattern corresponds to viral recognition receptors were unveiled by employing the Dynamic Mode Decomposition (DMD) to the time-course gene expression profiles. Dynamic mode decomposition executes a lowdimensional spectral decomposition of the records into modes. Results: Each element within a single mode provides a measure of gene’s expression participated in the mode and the gene’s expression phase of oscillation relative to others. The amplitudes quantify modes influence; the associated eigenvalues characterizes the frequency and growth rate of the modes. Using the eigenvalues, dynamic modes and amplitudes, the symptomatic influenza infection individuals are distinguished from the asymptomatic individuals. The symptomatic individuals has one positive real eigenvalue ( βI > 0 ), shows the increase of the receptor response due to the replication of virus. Then, generating exacerbated local immune responses, which results in acute infection and increases pathogenesis. The asymptomatic individuals has two real positive eigenvalues ( βH > 0 )Conclusion: The positive real eigenvalue from the symptomatic individuals shows the increase of the receptor response due to the replication of virus. Then, generating exacerbated local immune responses, which results in acute infection and increases pathogenesis. While the positive eigenvalues from asymptomatic individuals corresponds to the receptors that activates the innate immunity response promoting the viral clearance. Deep understanding of these patterns does not only shed new light on developing the immuno-therapy of influenza A virus but also on emerging acute respiratory distress like a currently novel corona-virus distress-19
Spatio-temporal variation of reference evapotranspiration using different estimation techniques for Western Maharashtra, India
Authors: Khedkar Devidas , Mane M. S. 
Published: August 2022

Abstract

The Spatio-temporal variability of reference evapotranspiration (ET0) was analysed using different estimation techniques with limited data over western Maharashtra, India. Sixteen ET0models were compared with FAO 56 Penman-Monteith (P-M) method, out of that eight climate-based methodsviz., Soil Conservation Service Blaney-Criddle, Thornthwaite, Hargreaves-Samani, Pan evaporation, Jensen-Haise, Priestly-Taylor, Turc, and Radiation were selected, and four linear regression (LR) and four artificial neural networks (ANN) models were developed. The LR and ANN modelsviz., Model1 (evaporation), Model2 (maximum and minimum temperature), Model3 (maximum and minimum temperature, bright sunshine hours), Model4 (maximum and minimum temperature, maximum and minimum humidity, bright sunshine hours). Resulting LR and ANN models showed satisfactory performance and can be accepted to predict ET0values. The inverse distance weighting technique used for mapping, and the Mann-Kendall and linear regression methods are used for analysing trends of ET0. The map of P-M method showed that the values of ET0increase from central part towards south-east and relatively more ards north-east of study area. Among climate based methods, it was observed that none of methods shown close in spatial distribution pattern of ET0with P-M method, whereas the maps of LR and ANN models showed close approach to P-M method. It was observed that there was decreasing trend of ET0using P-M method for all stations as well as the more complex methods which require temperature, radiation and humidity data showed decreasing trends of ET0for most of the stations Whereas the methods which requiring only temperature data showed no or increasing trends of ET0. Hence, it was concluded that trends of ET0depends on type of meteorological data used for calculation under current global scenario.
Anthracycline therapy for breast cancer-induced arrhythmias: a meta-analysis of a single-arm trial
Authors: Ran Tao , Chen Jinyao , Zhang Min , Cheng Yu , Mao Min , Xiang Rui , Zuo Zhong , Chang Jing , Han Baoru , Ma Kanghua 
Published: August 2022

Abstract
Introduction: As of 2020, breast cancer has become the leading cause of cancer incidence worldwide, and chemotherapy based on anthracycline is an important component of breast cancer treatment. Anthracycline-based drugs are known to cause cardiac toxicity and arrhythmia in breast cancer treatment. This is the first clinical quantitative analysis to accurately assess the incidences of arrhythmia and arrythmia subtypes and abnormal electrocardiogram (ECG) changes, providing data to support clinical drug use and drug monitoring. Methods: We systematically searched CNKI, VIP, Wanfang and other Chinese databases, PubMed, Embase, Web of Science, Cochrane Library and other English databases.The random effect model or fixed effect model was used to calculate the incidence of combined arrhythmias in breast cancer patients and the associated heterogeneity. STATA16 was used for statistical analysis. Results: A total of 37 articles were included in this study, including 5705 breast cancer patients treated with anthracyclines, of whom 2257 developed arrhythmias. Meta-analysis showed that the incidence of anthracycline-associated arrhythmias in breast cancer patients was 0.41 (0.37, 0.44). Subgroup analysis showed that the incidence of QT-QTc interphase change was 0.08 (0.05, 0.11), that of P wave change was 0.10 (0.05, 0.15), that of ST-T segment change was 0.19 (0.15, 0.23), and that of QT-QTc interphase change was 0.08 (0.05, 0.11). The incidence of low voltage abnormalities was 0.05 (0.03, 0.08). In addition, according to the subgroup analysis of arrhythmia subtypes, the incidence of conduction block was 0.04 (0.02, 0.05), the incidence of heart rate changes was 0.12 (0.10, 0.15), the incidence of premature beats was 0.09 (0.07, 0.11), and the incidence of atrial fibrillation was 0.04 (0.00, 0.12). Conclusion: The overall incidence of anthracycline-associated arrhythmias in breast cancer treatment was 0.41. ST-T segment was the most common ECG change. The results of this study are of great significance for guiding postoperative chemotherapy for and monitoring of breast cancer patients. Trial registration: The study has been registered in the international prospective register of systematic reviews(PROSPERO). Registration No.: CRD42022321213.
Identification of a de novo mutation of FOXG1gene and comprehensive analysis for molecular factors in Chinese FOXG1-related Rett syndrome
Authors: WU JIN , Lu Guanting , Zhang Yan , Xia Huiyun , He Xiaoyan , Xu Pei , Wu Lianying , Li Ding , Ma Liya , Peng Qingling 
Published: August 2022

Abstract

Currently, majority of the FOXG1-related Rett syndrome have been identified in Europeans and North Americans, and relatively few Chinese cases were reported. We identified ade novononsense mutation ofFOXG1in a female child with Rett syndrome out of 73 Chinese children with neurodevelopmental disorders in our cohort. In order to have a comprehensive view of FOXG1-related disorders in China, relevant published reports were browsed and twelve cases with FOXG1 mutations or copy number variants (CNVs) involvingFOXG1gene were involved in the analysis eventually. Feeding difficulties, seizures, delayed speech, corpus callosum hypoplasia and underdevelopment of frontal and temporal lobes occurred in almost all cases. Out of the 12 cases, eight patients (66.67%) had single-nucleotide mutations (SNMs) ofFOXG1gene and four patients (33.33%) had CNVs involvingFOXG1(3 microdeletions and 1 microduplication). FOXG1 was the crucial pathological factor for FOXG1-related Rett disorder, which could be further regulated by the regulatory elements located in the intergenic region (FOXG1-PRKD1). Further analysis indicated thatPRKD1might be a contributor to the FOXG1-related Rett syndrome, which interacted with the upstream factors to regulate the expression of FOXG1, even MECP2 and CDKL5. This reanalysis might promote the existed knowledge about the molecular etiology and be helpful for diagnosis, treatment and gene therapy of FOXG1-related disorders in the future.
The Location Selection of Logistics Center in City Based on Particle Swarm Optimization
Authors: Huang Yingyi , Wang Xinyu , Li Tianci , Chen Hongyan 
Published: August 2022

Abstract
The location selection of logistics center has great significance to improve the efficiency of regional logistics and optimize the structure of logistics system. The paper constructs a multi-factor constrained P-median site selection model to optimize the location of logistics centers to improve the efficiency of logistics and optimize the structure of the logistics system in a region. With the comparison of the results of the utility of the optimized layout points solved by the particle swarm algorithm and the immune genetic algorithm, it conclude that the optimal fitness value obtained by the particle swarm algorithm is relatively lower than the other one. It is proved that the particle swarm algorithm of the P-median site selection model under this multi-factor constraint has some reference value for multi-logistics center site selection planning.
Analysis on the Characteristics of Patients Late for Appointment Slots in a Thoracic Surgery Clinic
Authors: Guo Yuan , Zhang Tianqing , Du Chunlin , Feng Chenchen , Mamun Abdullah Al , Zhang Xinli 
Published: August 2022

Abstract
Background: With the development of internet-assisted medical services, in the outpatient time slot-based online appointment system, patients’ late arrival has a negative impact on the output of medical services. Identifying the characteristics of late-arriving outpatients helps identify intervention strategies and management mechanisms against late arrival.Methods: In this study, the demographic information and appointment-based visit information of 29,337 patients in the Thoracic Surgery Clinic in 2019 were retrieved from the hospital information system of a Class A tertiary hospital in China, covering nine fields. After excluding those with missing information, valid data from 9,378 patients were obtained. The patients who were on time for visits constituted the control group. The SPSS 24.0 software was used to conduct statistical tests and regression analysis of patients with late arrival (P <0.05). Results: Univariate test showed that there were seven characteristics that affected patients’ late arrival, including gender, place of origin, visit type, weekday of visit, booking method, the level of specialist and visit time slot. Multivariate analysis showed a total of six combined characteristics: gender, age, visit type, weekday of visit, booking method and level of specialist. Patients had the highest rate of late arrival on Mondays, reaching 34.6%. Among the morning slots of the day, the rate of late arrivals during 08:30-09:00 was the highest, reaching 78.1%; and among the afternoon slots, the rate of late arrivals during 13:00-13:30 was the highest, reaching 65.7%. The group of late-arriving patients on Mondays were characterised by the time slot of visit, visit type and payment type, while the group of late-arriving patients in the two peak slots were characterised by booking method, payment type, weekday of visit and level of specialist.Conclusion: Patients who arrived later than the booked time slots are characterized by some features, such as being female, showing ‘morning-market’ feature and residing in a short distance. This study discussed the possible interventions for late arrival and the recommended strategies for making appointments based on the above characteristics.
Genome-wide de novo identification and expression profiling of the BURP-containing gene family in a hybrid poplar indicate their crucial roles in poplar developmental gradient, response to abiotic stresses and fungal pathogens
Authors: Yang Jian-Kun , Cui Kuo , Ma De-Zhi , Li Jia-Zhe , Cha Xin-You , Zhang Yue , Lei Jia-Min , Deng Jun-Jie , Zhang Rong-Shu 
Published: August 2022

Abstract

BURP domain-containing proteins are a plant-specific protein family with diverse functions in plant development and response to stress. Overexpression of certain BURP genes were confirmed to improve crop yield or resistance to abiotic stress in multiple plant species. However, detailed expression profiling of BURP genes has never been reported for wood plant. In this study we report the characterization and organ-specific expression profiling of 27PdPapBURPgenes identified in thede novogenome of an important Chinese hybrid poplar cultivar ‘Shanxin yang’ (Populus davidiana×P. albavar.pyramidalis). Constitutive expression profile suggested that 11 BURP genes had important roles in poplar secondary growth, nine were important for root maintenance and seven were specifically active in the young developing tissues of poplar. Organ-specific expression profiling ofPdPapBURPgenes under each treatment among salt, alkali, desiccation stress, the infecting of five major soil-borne plant fungal pathogens and the inducing of three stress-related plant hormone demonstrated differential regulation pattern of eachPdPapBURPgene. Regulation patterns ofPdPapBURPgene expression showed highest diversity in poplar root during fungal infection. Comparative motif analysis with previously reported BURP proteins suggested particular importance of the motifs specific to the PG1-β phylogenic subclass for poplar development and short repeated peptide sequences were one of the important structural bases for stress-resistant/stress-responsive functions of BURP proteins. This study is a thorough discovery of BURP genes in hybrid poplar. Our results present important information for understanding the growth and stress-response mechanisms of woody plants involving the BURP genes and provide profound insights into improving woody plant growth and stress/pathogen resistance.
Association of circulating tumor cell-white blood cell clusters with survival outcomes in patients with colorectal cancer after curative intent surgery
Authors: Xu Yifan , Zhang Qianlong , Xu Zhou , Xie Qingfeng , Ding Wenfu , Liu Hao , Deng Haijun 
Published: August 2022

Abstract
Background
The analysis of CTC-associated white blood cell (CTC-WBC) clusters represented the progress in the liquid biopsy of malignant tumors, however, related research in patients with colorectal cancer is still absent.
Methods
To explore associations between CTC-WBC clusters and the prognosis of these patients, we conducted an independent cohort of 329 colorectal cancer patients after curative intent surgery and pre-operative CTC detection in Nanfang Hospital, Southern Medical University, Guangzhou, China between January 1, 2017, and September 31, 2019. The primary cohort referred to patients with CTC-WBC clusters positive. The control cohort was defined as those with exclusively CTCs positive. CTCs were enriched and distinguished by The CanPatrol™ system (SurExam, China). The Kaplan-Meier curve was used to compare the progressive-free survival (PFS) and overall survival (OS) between two groups. The COX regression model was used to assess the predictive value of CTC-WBC clusters.
Results
63 patients presented CTC-WBC clusters positive (CTC-WBC group) and 266 patients showed solely CTCs (CTC group). The number of CTCs was significantly different between two groups (P < 0.001) and the rest of clinical characteristics were not markedly associated with the presence of CTC-WBC clusters. Kaplan-Meier curves of PFS and OS exhibited that the CTC-WBC group had significantly shorter PFS (P = 0.011), while not for OS. The multivariate model further suggested that the CTC-WBC clusters (Hazard Ratio = 1.89, 95% Confidence Interval: 1.02–3.51, P = 0.042) was an independent predictor for the PFS of in post-operation CRC patients.
Conclusion
The CTC-WBC cluster is significantly associated with recurrence after operation in CRC patients. This finding facilitates the evaluation of this indicator in tumor progression.
Factors Associated with Cancer Prevention/Risk Reduction Behaviors among Latinos in Indiana
Authors: Rawl Susan M. , Maupome Gerardo , Golzarri-Arroyo Lillian , Parker Erik , O’Leary Heather A. , Espinoza-Gutarra Manuel R. , Valenzuela Robin E. , Malloy Caeli , Haunert Laura , Haggstrom David A. 
Published: August 2022

Abstract
Purpose: Improving understanding of behaviors that increase or reduce cancer risk for different Hispanic groups is a public health priority; such knowledge is sparse in new gateway immigration locations such as Indiana. The aims of this study were to: 1) describe cancer beliefs and cancer preventive/risk reduction behaviors (physical activity, tobacco, and alcohol use) among Hispanic adults; 2) examine differences in cancer beliefs and preventive behaviors by country of birth, socioeconomic status, and area of residence (urban vs. rural); and 3) determine predictors of engagement in cancer prevention and risk reduction behaviors in this population.Methods: A cross-sectional online survey targeted adult Indiana residents who identified as Latino, Hispanic, or Spanish recruited using Facebook-targeted advertising. Complete survey data from 1520 respondents were analyzed using descriptive, unadjusted, and adjusted models. Results: The majority of respondents believed they were unlikely to get cancer but held many other fatalistic beliefs about cancer. Only 35.6% of respondents had received the HPV vaccine, 37.6% reported they were currently smoking cigarettes, and 64% reported occasional or frequent drinking of alcohol. Respondents spent an average of 3.55 days per week engaged in moderate exercise. Differences were observed by country of birth, income, and education but not by rural residence status. Predictors of cancer risk/risk reduction behaviors were identified. Conclusion: The Hispanic population in Indiana is diverse and effective interventions for cancer prevention should be culturally targeted based on country of birth and individually tailored based on cancer-related beliefs.
Epidemiology of hand, foot, and mouth disease and genetic characteristics of Coxsackievirus A10 in Taiyuan City, Shanxi Province from 2016–2020
Authors: Wang Jitao , Liu Hongyan , Cao Zijun , Xu Jihong , Guo Jiane , Zhao Lifeng , Wang Rui , Xu Yang , Gao Ruihong , Gao Li , Zuo Zhihong , Xiao Jinbo , Lu Huanhuan , Zhang Yong 
Published: August 2022

Abstract

Background:In recent years, the prevalence of hand, foot, and mouth disease (HFMD) caused by enteroviruses other than enterovirus A71 (EV-A71) and coxsackievirus A16 (CVA16) has gradually increased. The pathogen spectrum of HFMD also continues to change. In this study, we analyzed the epidemiological characteristics of HFMD and the genetic characteristics of the coxsackievirus A10 (CVA10) virus identified in Taiyuan City, Shanxi Province.Methods:The epidemiological data from 2016–2020 on HFMD in Taiyuan City was collected from the China Information System For Disease Control and Prevention. The throat swab specimens of 2701 HFMD cases were tested, theVP1regions of CVA10 RNA were amplified using RT-PCR, and phylogenetic analysis of CVA10 was performed. The study results were analyzed using Pearson's Chi-Square Test.Results:Children aged 1–5 years accounted for the majority (81.65%) of all HFMD cases, and the average annual incidence is higher in boys than in girls. Of the 2,701 specimens collected, 1,439 (53.28%) were positive for human enterovirus (EV). The positivity rates of EV-A71, CVA16, and other EVs were 15.22% (219/1439), 28.77% (414/1439), and 56.01% (806/1439), respectively. The proportion of specimens positive for other EVs was significantly higher than that of EV-A71 and CVA16. CVA10 is one of the important viruses of other EVs. A total of 52 CVA10 strains were used for phylogenetic analysis based on theVP1region. Of the 52 CVA10 strains, 31 were from this study, and 21 were downloaded from GenBank. All CVA10 sequences could be assigned to seven genotypes (A, B, C, D, E, F, and G), and genotype C was further divided into C1 and C2 subtypes. Of the 31 CVA10 strains identified in this study, only one belonged to subtype C1 and the remaining 30 belonged to C2.Conclusions:This study emphasized the importance of strengthening the surveillance of the HFMD pathogen spectrum in order to understand the mechanisms of pathogen variation and evolution, so as to provide a scientific basis for HFMD prevention, control, and vaccine development.
An Integrated Clustering and BERT Framework for Improved Topic Modeling
Authors: George Lijimol , Sumathy P 
Published: August 2022

Abstract
Topic modelling is a machine learning technique that is extensively used in Natural Language Processing (NLP) applications to infer topics within unstructured textual data. Latent Dirichlet Allocation (LDA) is one of the most used topic modeling techniques that can automatically detect topics from a huge collection of text documents. However, the LDA-based topic models alone do not always provide promising results. Clustering is one of the effective unsupervised machine learning algorithms that are extensively used in applications including extracting information from unstructured textual data and topic modeling. A hybrid model of Bidirectional Encoder Representations from Transformers (BERT) and Latent Dirichlet Allocation (LDA) in topic modeling with clustering have been studied in detail. As the clustering algorithms are computationally complex, the complexity increases with the higher number of features, the PCA, t-SNE & UMAP-based dimensionality reduction methods are also performed. Finally, a unified clustering-based framework using BERT and LDA is proposed as part of this study for mining a set of meaningful topics from the massive text corpora. The experiments are conducted to demonstrate the effectiveness of the cluster-informed topic modeling framework using BERT and LDA by simulating user input on benchmark datasets. The experimental results show that clustering would help infer more coherent topics and hence this unified clustering and BERT-LDA based approach can be effectively utilized for building topic modeling applications.
The climate change distress and impairment scale: Introduction of the measure and first findings on pro-environmental behavior
Authors: Hepp Johanna , Klein Sina A , Horsten Luisa K , Urbild Jana , Lane Sean P 
Published: August 2022

AbstractGovernmental agencies and the medical and psychological professions are calling for a greater focus on the negative mental health effects of climate change (CC). As a first step, the field needs measures to distinguish non-pathological levels of affective/emotional distress over CC from resulting impairment that requires further scientific and diagnostic attention and may require treatment in the future. To this end, we constructed theclimate change distress and impairment scale, which distinguishes CC distress (spanning anger, anxiety, and sadness) from impairment. In four studies (N = 1699), we developed and validated English and German versions of the scale. Across samples, we observed moderate to high levels of distress and low to moderate levels of impairment. In three English-speaking samples, younger individuals and women were most affected by CC distress, whereas this was not the case in a German-speaking sample. We demonstrate convergent validity with previous measures and discriminant validity for general negative affectivity and depressive and generalized anxiety disorder symptoms, which underlines that CC distress is not in itself pathological. Employing a fully incentivized social dilemma paradigm, we further demonstrate that CC distress and (to a lesser degree) CC impairment predict pro-environmental behavior, outlining them as possible drivers of climate-change mitigation efforts.