Miracle-dz/UniFAR-FTUs huggingface dataset:
Cell Production in T Cell Areas Response and Leads to Augmented Plasma Prematurely Terminates Germinal Center Constitutive CD40L Expression on B Cells

CD40/CD40L engagement is essential to T cell-dependent B cell proliferation and differentiation. However, the precise role of CD40 signaling through cognate T–B interaction in the generation of germinal center and memory B cells is still incompletely understood. To address this issue, a B cell-speciﬁc CD40L transgene (CD40LBTg) was introduced into mice with B cell-restricted MHC class II deﬁciency. Using this mouse model, we show that constitutive CD40L expression on B cells alone could not induce germinal center differentiation of MHC class II-deﬁcient B cells after immunization with T cell-dependent Ag. Thus, some other MHC class II-dependent T cell-derived signals are essential for the generation of germinal center B cells in response to T cell-dependent Ag. In fact, CD40LBTg mice generated a complex Ag-speciﬁc IgG1 response, which was greatly enhanced in early, but reduced in late, primary response compared with control mice. We also found that the frequency of Ag-speciﬁc germinal center B cells in CD40LBTg mice was abruptly reduced 1 wk after immunization. As a result, the numbers of Ag-speciﬁc IgG1 long-lived plasma cells and memory B cells were reduced. By histology, large numbers of Ag-speciﬁc plasma cells were found in T cell areas adjacent to Ag-speciﬁc germinal centers of CD40LBTg mice, temporarily during the second week of primary response. These results indicate that CD40L expression on B cells prematurely terminated their ongoing germinal center response and produced plasma cells. Our results support the notion that CD40 signaling is an active termination signal for germinal center reaction. The Journal of Immunology , 2010, 185: 220–230. for cre by PCR with primers elsewhere (17). B cell-speciﬁc MHC-II deletion was conﬁrmed by analyzing B cells in peripheral blood by ﬂow cytometry at 6 wk of age. CD40LBTg mice CD40LBTg mouse with the CD40LBTg mouse line that we used in this study is less susceptible to develop colitis or lupus-like disease under the speciﬁc pathogen-free conditions of our facility. CD40LBTg mice were crossed onto IA-B background (15) to generate IA-B/CD40L mice. The presence of the transgene was identiﬁed by tail DNA PCR assays. Typical experiments used 8–12-wk-old C57BL/6 mice and CD40LBTg mice. For studying humoral responses, 7–10-wk-old iab neo/neo cd19 cre/+ (IA-B) mice, IA-B/CD40LBTg mice, iab neo/+ cd19 cre/+ mice, and iab neo/+cd1 9cre/+ /CD40LBTg mice were used for immunization. For some experi- ments, quasi-monoclonal (QM) Tg mice (18) crossed onto each genetic background were used.
The Impact of Paternalistic Leadership on Innovative Work Behavior. A Test of Mediation Model.

Leadership is a paramount factor in enhancing employee innovation and creativity. This study aims to test the impact of paternalistic leadership (PL) on employees’ innovative work behavior (IWB) and to check the mediating role of employee Psychological Safety (PS). Using positivistic philosophy and a deductive approach, this study has employed a convenience sampling technique to collect data through questionnaires from 317 employees working in the Textile and IT industries. Partial Least Square Structural equation modeling (PLS-SEM) is used to analyze the data. Findings suggest that psychological safety was positively related to innovative work behavior and psychological safety mediated this link. This study is among very few studies that have tested the paternalistic leadership style in the innovative context of Pakistan. A major contribution for practitioners is to know that paternalistic leadership will enhance employee innovative work behavior through psychological safety. Moreover, data from the textile and software industries also increased the relevance and originality of this study.JEL Classification: J24, J28, O31, L67, L86
Elevated Transaminases as Predictors of COVID-19 Pneumonia Severity

Background: This study aimed to calculate the frequency of elevated liver enzymes in hospitalized patients with coronavirus disease 2019 (COVID-19) infection and to test if liver enzyme biochemistry levels on admission could predict the computed tomography (CT) scan severity score of bilateral interstitial pneumonia. Methods: This single-center study comprised of 323 patients including their demographic data, laboratory analyses, and radiological findings. All the information was taken from electronic health records, followed by statistical analysis. Results: Out of 323 patients, 115 of them (35.60%) had aspartate aminotransferase (AST) and/or alanine aminotransferase (ALT) over 40 U/L on admission. AST was the best predictor of CT scan severity score of bilateral interstitial pneumonia (R2 = 0.313, Adjusted R2 = 0.299). CT scan severity score in the peak of the infection could be predicted with the value of AST, neutrophils, platelets, and monocytes count (R2 = 0.535, Adjusted R2 = 0.495). Conclusion: AST, neutrophils, platelets, and monocytes count on admission can account for almost half (49.5%) of the variability in CT scan severity score at peak of the disease, predicting the extensiveness of interstitial pneumonia related to COVID-19 infection. Liver enzymes should be closely monitored in order to stratify COVID-19 patients with a higher risk of developing severe forms of the disease and to plan the beforehand step-up treatment.
Ageing and Efficiency Aware Battery Dispatch for Arbitrage Markets Using Mixed Integer Linear Programming

To achieve maximum profit by dispatching a battery storage system in an arbitrage operation, multiple factors must be considered. While revenue from the application is determined by the time variability of the electricity cost, the profit will be lowered by costs resulting from energy efficiency losses, as well as by battery degradation. In this paper, an optimal dispatch strategy is proposed for storage systems trading on energy arbitrage markets. The dispatch is based on a computationally-efficient implementation of a mixed-integer linear programming method, with a cost function that includes variable-energy conversion losses and a cycle-induced battery capacity fade. The parametrisation of these non-linear functions is backed by in-house laboratory tests. A detailed analysis of the proposed methods is given through case studies of different cost-inclusion scenarios, as well as battery investment-cost scenarios. An evaluation with a sample intraday market data set, collected throughout 2017 in Germany, offers a potential monthly revenue of up to 8762 EUR/MWh cap installed capacity, without accounting for the costs attributed to energy losses and battery degradation. While this is slightly above the revenue attainable in a reference application—namely, primary frequency regulation for the same sample month (7716 EUR/MWh cap installed capacity)—the situation changes if costs are considered: The optimisation reveals that losses in battery ageing and efficiency reduce the attainable profit by up to 36% for the most profitable arbitrage use case considered herein. The findings underline the significance of considering both ageing and efficiency in battery system dispatch optimisation.
Anthropometric and Nutrition Evaluation of the Public Schools, applied on Municipal Education Institutions of Luis Eduardo Magalhães-BA, Brasil Kinesiology & Leisure Science Poster Session

The objective of this study was to verify the existence of different nutritional profiles of public schools. The Method is about a cross-sectional study on 9049 students in Luís Eduardo Magalhães – BA, for the analysis and discussion of the data Descriptive Statistics was utilized, and the data was arranged separately in tables and graphs. In the results, eutrophic nutritional status prevailed, although the girls presented overweight and obesity higher than boys. The study concluded that even going to the prevalence of nutritional eutrophic status, over half the population is found to be in unsatisfactory nutritional status, which deserves attention. In the last years, the municipality of Luís Eduardo Magalhães Bahia has been working on this preventive project to measure and analyze the biometric data of public school students, believing and arguing that this is extremely important within educational public health policies.
The Effect of Parasitic Patches Addition on Bandwidth Enhancement and Mutual Coupling in 2x2 Sub-arrays

This paper presents a 2x2 sub-array design with elements having parasitic patches (PPs) for massive MIMO applications. We show that with greater number PPs, bandwidth can be increased considerably with respect to previous designs. The increase in element dimension and, consequentially, element spacings reduces the mutual coupling in the sub-array. The frequency chosen for the design is 3.5 GHz, one of the 5G frequency allocations. For each sub-array element, multiple PPs are placed on the top layer, aimed to enhance the bandwidth. A coaxial feeding probe is employed. Two types of single element antenna with 5 and 10 PPs exhibit a bandwidth of more than 600 MHz and 700 MHz or a fractional bandwidth of about 17% and 20%, respectively. Simulation results and measurements of the 2x2 sub-arrays with 5 PPs and 10 PPs elements show that the antennas meet the desired performance because the return loss is less than -10 dB in a bandwidth of 567 MHz and 730 MHz, respectively. Mutual coupling effects can be suppressed down to less than -20 dB in the frequency range of 3.202 GHz -3.934 GHz.
Effects of Spore-Displayed p75 Protein from Lacticaseibacillus rhamnosus GG on the Transcriptional Response of HT-29 Cells

A Lacticaseibacillus rhamnosus GG-derived protein, p75, is one of the key molecules exhibiting probiotic activity. However, the molecular mechanism and transcriptional response of p75 in human intestinal epithelial cells are not completely understood. To gain a deeper understanding of its potential probiotic action, this study investigated genome-wide responses of HT-29 cells to stimulation by spore-displayed p75 (CotG-p75) through a transcriptome analysis based on RNA sequencing. Analysis of RNA-seq data showed significant changes of gene expression in HT-29 cells stimulated by CotG-p75 compared to the control. A total of 189 up-regulated and 314 down-regulated genes was found as differentially expressed genes. Gene ontology enrichment analysis revealed that a large number of activated genes was involved in biological processes, such as epithelial cell differentiation, development, and regulation of cell proliferation. A gene–gene interaction network analysis showed that several DEGs, including AREG, EREG, HBEGF, EPGN, FASLG, GLI2, CDKN1A, FOSL1, MYC, SERPINE1, TNFSF10, BCL6, FLG, IVL, SPRR1A, SPRR1B, SPRR3, and MUC5AC, might play a critical role in these biological processes. RNA-seq results for selected genes were verified by reverse transcription-quantitative polymerase chain reaction. Overall, these results provide extensive knowledge about the transcriptional responses of HT-29 cells to stimulation by CotG-p75. This study showed that CotG-p75 can contribute to cell survival and epithelial development in human intestinal epithelial cells.
Successful in Sports but Worse in School? Adolescent Student-Athletes’ Development of Scholastic Performances

Studies have evaluated the effectiveness of dual career (DC) support services among student-athletes by examining scholastic performances. These studies investigated self-reported grades student-athletes or focused on career choices student-athletes made after leaving school. Most of these studies examined scholastic performances cross-sectionally among lower secondary school student-athletes or student-athletes in higher education. The present longitudinal field study in a quasi-experimental design aims to evaluate the development of scholastic performances among upper secondary school students aged 16–19 by using standardized scholastic assessments and grade points in the subject English over a course of 3–4 years. A sample of 159 students (54.4% females) at three German Elite Sport Schools (ESS) and three comprehensive schools participated in the study. The sample was split into six groups according to three criteria: (1) students’ athletic engagement, (2) school type attendance, and (3) usage of DC support services in secondary school. Repeated-measurement analyses of variance were conducted in order to evaluate the impact of the three previously mentioned criteria as well as their interaction on the development of scholastic performances. Findings indicated that the development of English performance levels differ among the six groups.
Target recognition approach using image local features in rehabilitation robots

Abstract. From the computer science literature, it can be seen that many different technologies are used in target recognition, which is one of the most significant areas in the artificial intelligence field. Target recognition is applied in a variety of disciplines, including healthcare, robot vision, vehicular traffic, and virtual reality. Target recognition techniques involve a robotic vision system that must perform with high accuracy and efficiency in real time; additionally, it must have the capacity to handle difficult identification contexts. In one existing target recognition system, the Harris algorithm is used; it provides a higher accuracy compared to more traditional algorithms. In order to improve its achieved accuracy, we focus on the target detection algorithm of a rehabilitation robot that is based on the local features of images. Considering the feature points of the images and target identification technology, a rehabilitation robotic recognition method is developed in this work. Initially, it collects the images, and then, adaptive weighted symplectic geometry decomposition is used for pre-processing. This method helps to reduce the noise in the images. Next, the features are extracted, and the vectors of the features are separated and identified. Afterward, one-to-many rehabilitation modes and actual system monitors are implemented to precisely select the target condition based on the functional criteria of the rehabilitation robot recognition method. Finally, an invertible color-to-grayscale conversion method using clustering and reversible watermarking is applied. It converts images into grayscale. The Gaussian distribution is consistently utilized to define the position and the quantity of the extracted feature points. Related images are retrieved as well. According to experimental findings, the proposed method improves the accuracy and the recall rate compared with the Harris algorithm.
The complete chloroplast genome sequence of Clerodendrum cyrtophyllum from Guangzhou, China

Abstract Clerodendrum cyrtophyllum is a well-known medicinal plant in southern China. Here, we presented the complete chloroplast (cp) genome of C. cyrtophyllum using Illumina high-throughput sequencing technology. The C. cyrtophyllum cp genome size is 152,004 bp with 38.13% GC content, including a pair of inverted repeat regions (IR, 51,592 bp) separated by a large single copy (LSC, 86,480 bp) and a small single copy region (SSC, 18,425 bp). It possesses 87 protein-coding genes, 37 tRNA genes and eight rRNA genes. Phylogenetic analysis fully shows that C. cyrtophyllum is closely related to Clerodendrum bungei and Clerodendrum lindleyi. Overall, the complete cp genome sequence of C. cyrtophyllum provides a valuable resource for genetic diversity, phylogenetic relationship, and species identification.
CXCR 6-Dependent PI 3 K / Akt Signaling The Inflammatory Chemokine CXCL 16 Triggers Platelet Activation and Adhesion via

Syeda T. Towhid, Konstantinos Stellos, Peter Seizer, Andreas E. May, Florian Lang and Meinrad Oliver Borst, Patrick Münzer, Sergios Gatidis, Eva-Maria Schmidt, Tanja Schönberger, Evi Schmid, CXCR6-Dependent PI3K/Akt Signaling The Inflammatory Chemokine CXCL16 Triggers Platelet Activation and Adhesion via Print ISSN: 0009-7330. Online ISSN: 1524-4571 Copyright © 2012 American Heart Association, Inc. All rights reserved. is published by the American Heart Association, 7272 Greenville Avenue, Dallas, TX 75231 Circulation Research published online August 27, 2012; Circ Res. http://circres.ahajournals. org/content/early/2012/08/27/CIRCRESAHA.112. 276444 World Wide Web at: The online version of this article, along with updated information and services, is located on the http://circres.ahajournals. org/content/suppl/2012/08/27/CIRCRESAHA.112. 276444.DC1. html Data Supplement (unedited) at:
Self-Reported Depression Is Associated With Aberration in Emotional Reactivity and Emotional Concept Coding

Cognitive impairment, alterations in mood, emotion dysregulation are just a few of the consequences of depression. Despite depression being reported as the most common mental disorder worldwide, examining depression or risks of depression is still challenging. Emotional reactivity has been observed to predict the risk of depression, but the results have been mixed for negative emotional reactivity (NER). To better understand the emotional response conflict, we asked our participants to describe their feeling in meaningful sentences alongside reporting their reactions to the emotionally evocative words. We presented a word on the screen and asked participants to perform two tasks, rate their feeling after reading the word using the self-assessment manikin (SAM) scale, and describe their feeling using the property generation task. The emotional content was analyzed using a novel machine-learning algorithm approach. We performed these two tasks in blocks and randomized their order across participants. Beck Depression Inventory (BDI) was used to categorize participants into self-reported non-depressed (ND) and depressed (D) groups. Compared to the ND, the D group reported reduced positive emotional reactivity when presented with extremely pleasant words regardless of their arousal levels. However, no significant difference was observed between the D and ND groups for negative emotional reactivity. In contrast, we observed increased sadness and inclination toward low negative context from descriptive content by the D compared to the ND group. The positive content analyses showed mixed results. The contrasting results between the emotional reactivity and emotional content analyses demand further examination between cohorts of self-reported depressive symptoms, no-symptoms, and MDD patients to better examine the risks of depression and help design early interventions.
Optimization of Regional Industrial Structure Based on Multiobjective Optimization and Fuzzy Set

With the development of China’s economy, it is required to change the mode of economic growth, from extensive growth mode to intensive growth mode. Therefore, the research on industrial structure is of great significance. This study proposes a regional industrial structure optimization method based on multiobjective optimization and fuzzy set. Firstly, the multiobjective industrial structure evaluation model is constructed, then the evaluation model based on improved fuzzy industrial structure is proposed, and finally the application effect of improved fuzzy industrial structure evaluation model is analyzed. The results show that the first generation iteration speed of the improved fuzzy industrial structure evaluation model is fast, but it is slow in the second to eighth iterations. Compared with the traditional square method, the convergence of the fuzzy structure is improved to a certain extent. The improved evaluation model has also been improved. This is better than other algorithms. Using K-means and Manhattan distance to initialize the clustering method, the results are relatively stable. In terms of running time, Manhattan distance initialization method and K-means clustering method have less iterations and short time-consuming. Therefore, when the data sample is large, the application of K-means clustering algorithm will be more effective.
Analysis of dynamic characteristics of ceramic spindle considering the thermal magnetic coupling effect

The ceramic spindle rotor system is widely used in CNC machine tools. However, the dynamic characteristics are influenced by the magnetic forces and thermal deformation, which leads to the reduction of running accuracy. In this paper, the thermal deformation of the rotor system are calculated, and the magnetic field distribution is obtained based on the Maxwell theory. The thermal magnetic coupling effect is then analyzed to investigate the interaction between thermal deformation and magnetic force, and the impact of thermal magnetic coupling effect on the dynamic characteristics is obtained. Experiments are conducted to verify the simulation results, and the dynamic characteristics with and without consideration of thermal magnetic coupling effect are compared. Results show that the thermal deformation and magnetic force have nonlinear increases with speed, and the model considering the thermal magnetic coupling effect has a higher accuracy with the error decreased by 4%. The air gap is a key factor that determines the dynamic characteristics of the ceramic spindle rotor system, and a larger air gap can help lower the vibration at high speed. This study provides a theoretical basis for the structural design of ceramic spindle rotor system.
Association between the occurrence of mound-building termite in pasture with physical, chemical and biological characteristics of the soil

The occurrence of mound-building termite Cornitermes cumulans (Kollar, 1832) (Termitidae) in pastures may be related to the chemical, physical and biological characteristics of the soil. However, little is known about these relationships. The objective of this study was to evaluate the relationship of the occurrence of mound-building termite in pasture with the chemical, physical and biological characteristics of the soil. The number of mounds and their circumference (cm) and height (m) were evaluated in three subareas present in the same pasture area. Soil chemical, physical and biological analyses were performed. Soil acidity and texture do not interfere with the occurrence of mound-building termites in the pasture. The lower CO2 release in the soil contributes to a greater occurrence of mound-building termites and greater mound circumference. Therefore, it is important to improve the soil conditions in order to increase its biological activity and, consequently, to allow the development of microorganisms which reduce the development of mounds.