bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification of Quantitative Trait Nucleotides and Candidate Genes for Tuber Yield and Mosaic Virus Tolerance in an Elite Population of White Guinea Yam (Dioscorea Rotundata) Using Genome-Wide Association Scan
Authors: AGRE Paterne , Norman Prince E. , Asiedu Robert , Asfaw Asrat 
Published: July 2021

Abstract
Background
Improvement of tuber yield and tolerance to viruses are priority objectives in white Guinea yam breeding programs. However, phenotypic selection for these traits is quite challenging due to phenotypic plasticity and cumbersome screening of phenotypic-induced variations. This study assessed quantitative trait nucleotides (QTNs) and the underlying candidate genes related to tuber yield per plant (TYP) and yam mosaic virus (YMV) tolerance in a panel of 406 white Guinea yam (Dioscorea rotundata) breeding lines using a genome-wide association study (GWAS).
Results
Population structure analysis using 5,581 SNPs differentiated the 406 genotypes into four distinct sub-groups (K = 4). Marker-trait association (MTA) analysis using the generalized linear model identified ten QTN regions significant for TYP and five for YMV. We identified variants responsible for predicting higher yield and low virus severity scores in the breeding panel through the marker-effect prediction. Gene annotation for the significant SNP loci identified several essential putative genes associated with the growth and development of tuber yield and those that code for tolerance to mosaic virus.
Conclusion
Our results provide valuable insight for marker validation and deployment for tuber yield and mosaic virus tolerance in white yam breeding. The information on SNP variants and genes from the present study would fast-track the application of genomics-informed selection decisions in breeding white Guinea yam for rapid introgression of the targeted traits.
Modified Bladder Outlet Obstruction Index for Powerful Efficacy Prediction of Transurethral Resection of Prostate with Benign Prostatic Hyperplasia
Authors: Liu Hongming , Tian Ye , Luo Guangheng , Su Zhiyong , Ban Yong , Wang Zhen , Sun Zhaolin 
Published: July 2021

Abstract
Background：The correlation between modified bladder outlet obstruction index (MBOOI) and surgical efficacy still remains unknown. The purpose of the study was to investigate the clinical value of the MBOOI and its use in predicting surgical efficacy in men receiving transurethral resection of the prostate (TURP).Methods ：A total of 403 patients with benign prostate hyperplasia (BPH) were included in this study. The International Prostate Symptom Score (IPSS), quality of life (QoL) index, transrectal ultrasonography, and pressure flow study (PFS) were conducted for all patients. The bladder outlet obstruction index (BOOI) (PdetQmax -2Qmax) and MBOOI (Pves-2Qmax) were calculated. All patients underwent TURP, and surgical efficacy was accessed by the improvements in IPSS, QoL, and Qmax 6 months after surgery. The association between surgical efficacy and baseline factors was statistically analyzed.Results：A comparison of effective and ineffective groups based on the overall efficacy showed that significant differences were observed in PSA, Pves, PdetQmax, Pabd, BOOI, MBOOI, TZV, TZI, IPSS-t, IPSS-v, IPSS-s, Qmax, and PVR at baseline (P<0.05). Compared with BOOI, the results of Pearson’s correlation analysis showed that there was a more optimal correlation of MBOOI with preoperative variables, as well as with the changes postoperative(P<0.05). Binary logistic regression analysis suggested that MBOOI was the only baseline parameter correlated with the improvements in IPSS, QoL, Qmax, and the overall efficacy. Additionally, the ROC analysis further verified that MBOOI was more optimal than BOOI, TZV and TZI in predicting the surgical efficacy.Conclusion：Compared to BOOI, MBOOI may be a more useful factor that can be used to predict the surgical efficacy of TURP.Trial registration: retrospectively registered.
Dissipation And Residue of Fosthiazate In Tomato And Cherry Tomato And A Risk Assessment of Dietary Intake
Authors: Lin Sukun , Zhou Yi , Wu Jiyingzi , Zhang Zhixiang , Cheng Dongmei 
Published: July 2021

Abstract
In this study, the safety and risk of fosthiazate as a nematicide against root-knot nematode in tomato and cherry tomato were evaluated. The dissipation and residue of fosthiazate for 28 days in tomato and cherry tomato were determined and studied by HPLC after simple, rapid pre-treatment. The mean recovery was 83.79 ~ 94.18%, and the relative standard deviation was 3.97 ~ 7.40%. Results showed that the half-lives of fosthiazate in tomato (4.81 ~ 5.37 days) were significantly lower than that in cherry tomato (5.25 ~ 5.73 days). At the pre-harvest interval (PHI) of 21 days, the residues of tomatoes and cherry tomatoes were 0.032 ~ 0.046 mg/kg, which were lower than the maximum residue level established in China. The potential risks of fosthiazate exposure through the dietary intake of tomatoes and cherry tomatoes to different populations were also studied. According to the results of dietary risk assessment, the residual levels of fosthiazate were within the acceptable range of long-term dietary risk in different populations in China within the sampling interval of 21 days after the application of pesticide. Our results show that fosthiazate as a nematicide in the field control of root-knot nematode has high safety and low risk, and can provide a reference for the safe and reasonable use of fosthiazate as a nematicidein in the field.
Quantitative Assessment of the Immune Microenvironment in African American Triple Negative Breast Cancer: A Case Control Study
Authors: Yaghoobi Vesal , Moutafi Myrto , Aung Thazin Nwe , Pelekanou Vasiliki , Yaghoubi Sanam , Blenman Kim , Ibrahim Eiman , Vathiotis Ioannis A. , Shafi Saba , Sharma Anup , O’Meara Tess , Fernandez Aileen I , Pusztai Lajos , Rimm David 
Published: July 2021

Abstract
PURPOSETriple Negative Breast Cancer (TNBC) is more common in African American (AA) than Non-AA (NAA) population. We hypothesize that Tumor Microenvironment (TME) contributes to this disparity. Here we use multiplex quantitative immunofluorescence (QIF) to characterize the expression of immunologic biomarkers in the TME in both populations.PATIENTS AND METHODSTNBC tumor resection specimen tissues from a 100-patient case: control cohort including 49 AA and 51 NAA were collected. TME markers including CD45, CD14, CD68, CD206, CD4, CD8, CD20, CD3, Ki67, GzB, Thy1, FAP, aSMA, CD34, Col4, VWF and PD-L1 we quantitatively assessed in every field of view. Mean expression levels were compared between cases and controlsRESULTSAlthough no significant differences were detected in individual lymphoid and myeloid markers, we found that infiltration with CD45+ immune cells (p=0.0102) was higher in TNBC in AA population. AA TNBC tumors also had significantly higher level of lymphocytic infiltration defined as CD45+CD14- cells (p=0.0081). CD3+T-cells in AA tumors expressed significantly higher levels of Ki67 (0.0066) compared to NAAs, indicating that a higher percentage of AA tumors contained activated T-cells. All other biomarkers showed no significant differences between the AA and NAA group.CONCLUSIONSWhile the TME in TNBC is rich in immune cells in both racial groups, there is a numerical increase in lymphoid infiltration in AA compared to NAA TNBC. Significantly higher activated T cells seen in AA patients raises the possibility that there may be a subset of AA patients with improved response to immunotherapy.
Professional Chess Expertise Modulates Whole Brain Functional Connectivity Pattern Homogeneity and Couplings
Authors: Song Limei , Yang Huadong , Yang Mingdong , Liu Dianmei , Ge Yanming , Long Jinfeng , Dong Peng 
Published: July 2021

Abstract
Previous studies have revealed changed functional connectivity patterns between brain areas in chess players using resting-state functional magnetic resonance imaging (rs-fMRI). However, how to exactly characterize the voxel-wise whole brain functional connectivity pattern changes in chess players remains unclear, which could provide more convincing evidence for establishing the relationship between long-term chess practice and brain function changes. In this study, we employed newly developed whole brain functional connectivity pattern homogeneity (FcHo) method to identify the voxel-wise changes of functional connectivity patterns in 28 chess master players and 27 healthy novices. Seed-based functional connectivity analysis was used to identify the alteration of corresponding functional couplings. FcHo analysis revealed significantly increased whole brain functional connectivity pattern similarity in anterior cingulate cortex (ACC), anterior middle temporal gyrus (aMTG), primary visual cortex (V1), and decreased FcHo in thalamus and precentral gyrus in chess players. Resting-state functional connectivity analyses identified chess players showed decreased functional connections between V1 and precentral gyrus. Besides, a linear support vector machine (SVM) based classification achieved an accuracy of 85.45%, a sensitivity of 85.71% and a specificity of 85.19% to differentiate chess players from novices by leave-one-out cross-validation. Finally, correlation analyses revealed that the mean FcHo values of thalamus were significantly negatively correlated with the training time. Our findings provide new evidences for the important roles of ACC, aMTG, V1, thalamus and precentral gyrus in chess players and indicate that long-term professional chess training may enhance the semantic and episodic processing, efficiency of visual-motor transformation, and cognitive ability.
Evaluation of Health-related Quality of Life in Patients With Diabetes in Different Care Settings a Cross Sectional Study in Alain, UAE
Authors: Alkaabi Mariam salem Khamis , kaabi Bushra Khamis Obaid Al , marzooqi Fatima Mohammed Ahmed Al , Murri Shaima Ghazi Al , Alketbi Latifa Mohammad Baynouna 
Published: July 2021

Abstract
Purpose This study aims to assess health-related quality of life (HRQOL) in type 2 diabetic patients across four domains—physical, psychological, social, and environmental—and explore the possible determinants of these domains. MethodsUsing a cross-sectional study design, 397 type 2 diabetic patients in Alain city were interviewed using validated questionnaires in three different care settings: primary, secondary and private health care facilities. The WHO Quality of Life instrument, generalized anxiety disorder score, and Patient Health Questionnaire (PHQ9) were employed. ResultsThe participants comprised 270 females (68%) and 127 males (32%), with 68.9% in the 41–65 years age group; 49.6% were married. The most common comorbidities were dyslipidemia (69.3%), hypertension (61%), and osteoarthritis (24.7%). On a scale of 0 to 100, the highest QOL mean score was reported in the social relationship domain (78.3), followed by the environmental (77.7), psychological health (74.2), and physical health (70.7) domains. The risk of depression was a strong determinant of poor physical health. Social factors have great impact on a patient’s health and well-being. We noticed no difference in HRQOL outcome between primary, secondary, and private health care facilities.ConclusionThe social and mental health domains were the most influential in HRQOL among the participants. This finding supports targeting QOL assessments of patients with type 2 diabetes at the regular chronic diseases clinics and in the planning of population health management programs to ensure the best outcomes.
NK cell spatial dynamics and IgA responses in gut-associated lymphoid tissues during SIV infections
Authors: Rascle Philippe , PLANCHAIS Cyril , JACQUELIN Beatrice , LAZZERINI Marie , CONTRERAS Vanessa , PASSAES Caroline , Saez-Cirion Asier , MOUQUET Hugo , HUOT Nicolas , MULLER-TRUTWIN Michaela 
Published: July 2021

Abstract
HIV infection induces tissue damage including lymph node (LN) fibrosis and intestinal epithelial barrier disruption leading to bacterial translocation and systemic inflammation. Natural hosts of SIV, such as African Green Monkeys (AGM), do not display tissue damage despite high viral load in blood and intestinal mucosa. AGM mount a NK cell-mediated control of SIVagm replication in peripheral LN. We analyzed if NK cells also control SIVagm in mesenteric (mes) LN and if this has an impact on gut humoral responses, in particular on the production of IgA known for their anti-inflammatory role in the gut. We show that NK cells migrate into and control viral replication in B cell follicles (BCF) of mesLN during SIVagm infection. IgA+ memory B cells were increased in mesLN during SIVagm infection in contrast to SIVmac infection and correlated positively with CXCR5+ NK cell levels. Total IgA levels in gut remained normal during SIVagm infection, while strongly decreased in intestinal of chronically SIVmac-infected macaques. Systemic IgA titers correlated negatively with sCD14 levels in SIVmac infection. Our data suggest an indirect impact of NK cell-mediated viral control in mesLN during SIVagm infection on preserved BCF function and IgA production in intestinal tissues.
Recurrent parent phenome recovery analysis in six different populations with the introgression of genetic male sterile gene ms10 from hot pepper to heat tolerant bell pepper
Authors: Rani Menisha , Jindal Salesh Kumar , Meena Om Prakash 
Published: July 2021

Abstract
Backcrossing is one of the most commonly used breeding methods to transfer target trait(s) into a bell pepper inbreds. We attempted for the first time to transfer genetic male sterile (GMS) ms10 gene from the donor parent MS-12, popular GMS line in India, into the genetic background of six heat tolerant bell pepper inbreds, in restricted generations through the marker-assisted selection (MAS) and backcross breeding method, to develop new GMS lines in bell pepper. In this project, the recurrent parent phenome (RPP) recovery was analyzed in each generations of backcrossing using economic phenotypic markers. Phenotypic background analysis revealed that the extent of RPP recovery ranged from 43.59% (MSSM-1) to 66.26% (MSSM-21) and 70.89% (MSSM-17) to 92.09% (MSSM-21) for fruit weight, from 19.0% (MSSM-21) to 55.14% (MSSM-3) and 61.0% (MSSM-21) to 98.75% (MSSM-1) for number of lobes fruit− 1, from 55.77% (MSSM-17) to 94.25% (MSSM-2) and 69.83% (MSSM-17) to 98.26% (MSSM-3) for total fruit yield plant− 1 in BC1F1 and BC2F1 populations, respectively. Based on a paired 't' test analysis in BC2F1 population, out of six, the MSSM-1 and MSSM-2 generation was shown to be non-significant for all 19 studied traits followed by MSSM-3 (18), indicating a successful recovery of the recipient genome through marker-assisted backcross breeding after successful introgression of the ms10 gene. The GMS lines developed from this project will be utilized in bell pepper breeding programs aimed to identify the best cross-combination for their cultivation under north-Indian plains.
Modeling and Statistical Analysis of Complexity in Manufacturing Systems Under Flow Shop and Hybrid Environments
Authors: Vidal Germán Herrera , Hernandez Jairo Rafael Coronado , Minnaard Claudia 
Published: July 2021

Abstract
In manufacturing systems, there are environments where the elaboration of a product requires a series of sequential operations, involving the configuration of machines by stages, intermediate buffer capacities, definition of assembly lines and routing of parts. The objective of this research is to develop a modeling and statistical analysis of complexity in manufacturing systems under flow shop and hybrid environments. The methodological approach starts with the structural modeling, then the measurement of the complexity in the systems is developed, the hypotheses are proposed and finally an experimental and factorial statistical analysis is developed. The results obtained corroborate the hypotheses proposed, where statistically the structural design factors and the variation of production time per stage have a significant influence on the response variable associated to the total complexity. Similarly, there is evidence of correlation between the performance indicators and the variable studied, in which the incidence with production costs stands out.
Positioning Error Compensation of a Flexible Track Hybrid Robot for Aircraft Assembly Based on Response Surface Methodology and Experimental Study
Authors: Li Zhihao , Tian Wei , Wang Min , Li Bo , Liao Wenhe 
Published: July 2021

Abstract
With the development of aviation industry, more stringent demands are put forward for the performance and manufacturing level of aircraft. Moreover, the automation and precision of aircraft assembly determine the efficiency and quality of aircraft production. In order to improve the positioning precision of the flexible track hybrid robots which are applied to the flexible automatic assembly of aircraft, a precision compensation method based on response surface methodology was proposed in this paper. Firstly, the global positioning error model, optimized by characteristics of error data, was constructed to predict the positioning errors of the flexible track hybrid robot. Secondly, the predicted errors are utilized to realize the compensation of the target points at drilling workspace on nose and front fuselage assembly areas. Finally, a series of experiments of the flexible track hybrid robot with no-load and drilling scenarios are implemented to validate the proposed precision compensation method. The experiment of a hybrid robot for aircraft assembly shows that the mean value of the absolute positioning precision of the end-effector was promoted from 0.081 mm to 0.025 mm, maximum error reduced from 0.143 mm to 0.039 mm., respectively, which means that the position accuracy of the robot is increased by 69.1% and 72.7% for two experimental conditions.
Differential Evolution-based Optimization of Corn Stalks Black Liquor Decolorization with Active Carbon Adsorption and TiO2 Promoted Photochemical Degradation
Authors: Teodor Nechita , Dan Suditu , Cătălin Puițel , Dragoi Elena Niculina 
Published: July 2021

Abstract
In this work, the active carbon adsorption and TiO2 promoted photochemical degradation of black liquor decolorization were studied through experimental analysis (planned using Design of Experiments), modelling and optimization (with Response Surface Method and Differential Evolution). The aim is to highlight the importance of optimization methods for increasing process efficiency. For active carbon adsorption the considered process parameters were: quantity of active carbon, dilution, and contact time; for TiO2 promoted photochemical degradation the process parameters were: TiO2 concentration, UV path length and irradiation time. The determined models had an R squared of 93.82% for active carbon adsorption and of 92.82% for TiO2 based degradation. In the optimization phase, for active carbon, an improvement from 81.27–100% and for TiO2-based degradation from 36.63–46.83% was obtained. These results show that the experiments and the subsequent standard RSM optimization data can be further improved, leading to better performance.
Novel Application of Selfish Herd Optimisation Based Fractional Order Cascaded Controllers for AGC Study
Authors: Sahoo Subhadra , Jena Narendra Kumar , Ray Prakash Kumar , Sahu Binod Kumar 
Published: July 2021

Abstract
This article deals with Automatic Generation Control (AGC) of a three-area power system having five diversified sources of generation like thermal unit, hydro unit, wind unit, diesel unit and a gas unit are interconnected together. Area-1 of the power system consists of a thermal, a hydro and a wind unit, area-2 has a thermal, a hydro and a diesel unit and area-3 consists of a thermal, a hydro and a gas unit. To make system more realistic different nonlinear components like governor dead band (GDB), generation rate constraint (GRC), Boiler dynamics and communication delay are taken into account. A novel two degree of freedom fractional order PID with derivative filter and fractional order PD with derivative filter (2-DOF-FOPIDN-FOPDN) cascaded control strategy is adopted to improve the dynamic performance of the power system. Results obtained with the proposed cascaded controller are compared with that of PID, FOPID and 2-DOF-PIDN-PDN cascaded controller to prove its superiority. To enumerate the gains of different controllers optimally, a recently developed bio-inspired optimisation algorithm named Selfish Herd Optimisation (SHO) is capitalised. Further, the work is extended by taking a two area hydro thermal system to compare the result of the SHO tuned PID controller with that of modern hybrid firefly algorithm-pattern search (hFA-PS) technique. Transient analysis is carried out by applying a sudden load disturbance of 0.01 p.u in area-1 and the robustness of the controller is examined by varying both system parameters and applying a randomly varying load in area-1. From the investigation it is concluded that the 2-DOF-FOPIDN-FOPDN controller gives a flawless and a distinct performance.
Quantifying the Cell Morphology and Predicting Biological Behavior of Signet Ring Cell Carcinoma using Deep Learning
Authors: Da Qian , Deng Shijie , Li Jiahui , Yi Hongmei , Huang Xiaodi , Yang Xiaoqun , Yu Teng , Wang Xuan , Liu Jiangshu , Duan Qi , Metaxas Dimitris , Wang Chaofu 
Published: July 2021

Abstract
Signet ring cell carcinoma(SRCC) is a malignant tumor of the digestive system. This tumor has long been considered to be poorly differentiated and highly invasive because it has a higher rate of metastasis than well-differentiated adenocarcinoma. But some studies in recent years have shown that the prognosis of some SRCC is more favorable than other poorly differentiated adenocarcinomas, which suggests that SRCC has different degrees of biological behavior.
Therefore, we need to find a histological stratification that can predict the biological behavior of SRCC. Some studies indicate that the morphological status of cells can be linked to the invasiveness potential of cells, however, the traditional histopathological examination can not objectively define and evaluate them. Recent improvements in biomedical image analysis using deep learning(DL) based neural networks could be exploited to identify and analyze SRCC. In this study, we used DL to identify each cancer cell of SRCC in whole slide images(WSIs) and quantify their morphological characteristics and atypia. Our results show that the biological behavior of SRCC can be predicted by quantifying the morphology of cancer cells by DL. This technique could be used to predict the biological behavior and may change the stratified treatment of SRCC.