Optionality in semantic-pragmatic interface of bilingualism? Bare numeral constructions in Tibetan and Chinese bilinguals’ grammar

Bare numeral constructions (BNCs) can be anaphoric in Chinese but not Tibetan. Since the interpretation of BNCs requires a specific context, we consider it to involve a semantic-pragmatic interface, which has been argued to be vulnerable to crosslinguistic transfer for bilinguals (e.g., Sorace 2005, 2011). This study conducted a controlled sentence-picture matching truth value judgment task to examine whether Tibetan-Chinese bilinguals show crosslinguistic influence when interpreting BNCs in both languages. The data suggests that crosslinguistic effects did occur among some bilinguals. However, there were more bilinguals who successfully differentiated the two languages regarding the interpretation of BNCs. Our findings imply that early bilinguals may not necessarily show optionality in interface phenomena

A fuzzy decision variables framework based on directed sampling for large-scale multiobjective optimization

The enormous search space in large-scale multiobjective optimization presents a significant challenge to the convergence of existing evolutionary algorithms (EAs). It is necessary to further improve the convergence efficiency of the fuzzy decision variables framework (FDV) for large-scale multiobjective optimization. Therefore, this paper proposes a fuzzy decision variables framework based on directed sampling (FDVDS) for large-scale multiobjective optimization. After initializing the population, guided solutions are generated by directed sampling to improve the diversity of the population and speed up the convergence of the population. Finally, some representative EAs are embedded into FDVDS, and the framework’s effectiveness is verified by performing comparative experiments on large-scale multiobjective optimization test problems with up to 5000 decision variables

Safe passing critical criterion for drawn top-coal on rear conveyor and accurate control approach for drawing opening dimension

Fully mechanized top coal caving technology has become the mainstream way of high yield and high efficiency mining in extra thick coal seams in China. The accurate control of the top-coal drawing mechanical parts is of significance to realize the automation and intellectualization of top-coal caving mining. Mastering the spatial motion law of the coal caving mechanism is the premise of accurate control. The immediate shape of the hydraulic support coal caving mechanism is jointly controlled by the support height, support attitude, extension length of the plug plate, and the relative position of the rear scraper, which has an important impact on the coal caving opening and the coal-passing height of the support. This study establishes a 3–D numerical model of four- legs top-coal caving hydraulic support (No. ZF15000/27.5/42) by using the finite element software ABAQUS. Hinge and translator connectors are used to simulate the rotation behavior and expansion-contraction behavior for hinge point and plug plate, respectively. Taking the support height (H), tail beam swing angle (α), and the plug plate extension length (l) as control variables, the spatial motion law of the hinge point between shield beam and tail beam and the end of the plug plate are modeled. The critical security equation for evaluating collision between top-coal drawing mechanical parts and rear scraper is obtained by using Levenberg-Marquardt fitting iteration method. A database for describe the calibration relationship, which contains the end coordination of plug plate, the dimension of the top-coal drawing opening, and H, α, and l, is established. The sensor type and installation position for sensing and controlling the attitude of the top-coal drawing mechanism are recommended, the approach for calculating the tail beam angle based on travel sensor is derived. Through field verification of top-coal drawing opening width, it is concluded that the relative error between measured value and calculated value meets the requirements for accurate control of top-coal drawing mechanism. The approach for controlling the top-coal drawing opening dimension is proposed, which has been successfully applied in the field

Deep Learning Reveals Key Immunosuppression Genes and Distinct Immunotypes in Periodontitis

Background: Periodontitis is a chronic immuno-inflammatory disease characterized by inflammatory destruction of tooth-supporting tissues. Its pathogenesis involves a dysregulated local host immune response that is ineffective in combating microbial challenges. An integrated investigation of genes involved in mediating immune response suppression in periodontitis, based on multiple studies, can reveal genes pivotal to periodontitis pathogenesis. Here, we aimed to apply a deep learning (DL)-based autoencoder (AE) for predicting immunosuppression genes involved in periodontitis by integrating multiples omics datasets. Methods: Two periodontitis-related GEO transcriptomic datasets (GSE16134 and GSE10334) and immunosuppression genes identified from DisGeNET and HisgAtlas were included. Immunosuppression genes related to periodontitis in GSE16134 were used as input to build an AE, to identify the top disease-representative immunosuppression gene features. Using K-means clustering and ANOVA, immune subtype labels were assigned to disease samples and a support vector machine (SVM) classifier was constructed. This classifier was applied to a validation set (Immunosuppression genes related to periodontitis in GSE10334) for predicting sample labels, evaluating the accuracy of the AE. In addition, differentially expressed genes (DEGs), signaling pathways, and transcription factors (TFs) involved in immunosuppression and periodontitis were determined with an array of bioinformatics analysis. Shared DEGs common to DEGs differentiating periodontitis from controls and those differentiating the immune subtypes were considered as the key immunosuppression genes in periodontitis. Results: We produced representative molecular features and identified two immune subtypes in periodontitis using an AE. Two subtypes were also predicted in the validation set with the SVM classifier. Three “master” immunosuppression genes, PECAM1, FCGR3A, and FOS were identified as candidates pivotal to immunosuppressive mechanisms in periodontitis. Six transcription factors, NFKB1, FOS, JUN, HIF1A, STAT5B, and STAT4, were identified as central to the TFs-DEGs interaction network. The two immune subtypes were distinct in terms of their regulating pathways. Conclusion: This study applied a DL-based AE for the first time to identify immune subtypes of periodontitis and pivotal immunosuppression genes that discriminated periodontitis from the healthy. Key signaling pathways and TF-target DEGs that putatively mediate immune suppression in periodontitis were identified. PECAM1, FCGR3A, and FOS emerged as high-value biomarkers and candidate therapeutic targets for periodontitis

Deep Learning Reveals Key Immunosuppression Genes and Distinct Immunotypes in Periodontitis

Background: Periodontitis is a chronic immuno-inflammatory disease characterized by inflammatory destruction of tooth-supporting tissues. Its pathogenesis involves a dysregulated local host immune response that is ineffective in combating microbial challenges. An integrated investigation of genes involved in mediating immune response suppression in periodontitis, based on multiple studies, can reveal genes pivotal to periodontitis pathogenesis. Here, we aimed to apply a deep learning (DL)-based autoencoder (AE) for predicting immunosuppression genes involved in periodontitis by integrating multiples omics datasets. Methods: Two periodontitis-related GEO transcriptomic datasets (GSE16134 and GSE10334) and immunosuppression genes identified from DisGeNET and HisgAtlas were included. Immunosuppression genes related to periodontitis in GSE16134 were used as input to build an AE, to identify the top disease-representative immunosuppression gene features. Using K-means clustering and ANOVA, immune subtype labels were assigned to disease samples and a support vector machine (SVM) classifier was constructed. This classifier was applied to a validation set (Immunosuppression genes related to periodontitis in GSE10334) for predicting sample labels, evaluating the accuracy of the AE. In addition, differentially expressed genes (DEGs), signaling pathways, and transcription factors (TFs) involved in immunosuppression and periodontitis were determined with an array of bioinformatics analysis. Shared DEGs common to DEGs differentiating periodontitis from controls and those differentiating the immune subtypes were considered as the key immunosuppression genes in periodontitis. Results: We produced representative molecular features and identified two immune subtypes in periodontitis using an AE. Two subtypes were also predicted in the validation set with the SVM classifier. Three “master” immunosuppression genes, PECAM1, FCGR3A, and FOS were identified as candidates pivotal to immunosuppressive mechanisms in periodontitis. Six transcription factors, NFKB1, FOS, JUN, HIF1A, STAT5B, and STAT4, were identified as central to the TFs-DEGs interaction network. The two immune subtypes were distinct in terms of their regulating pathways. Conclusion: This study applied a DL-based AE for the first time to identify immune subtypes of periodontitis and pivotal immunosuppression genes that discriminated periodontitis from the healthy. Key signaling pathways and TF-target DEGs that putatively mediate immune suppression in periodontitis were identified. PECAM1, FCGR3A, and FOS emerged as high-value biomarkers and candidate therapeutic targets for periodontitis

Ginsenosides on stem cells fate specification—a novel perspective

Recent studies have demonstrated that stem cells have attracted much attention due to their special abilities of proliferation, differentiation and self-renewal, and are of great significance in regenerative medicine and anti-aging research. Hence, finding natural medicines that intervene the fate specification of stem cells has become a priority. Ginsenosides, the key components of natural botanical ginseng, have been extensively studied for versatile effects, such as regulating stem cells function and resisting aging. This review aims to summarize recent progression regarding the impact of ginsenosides on the behavior of adult stem cells, particularly from the perspective of proliferation, differentiation and self-renewal

Análisis de la traducción español-chino de los documentos en ámbito sanitario para la comunidad china en Madrid: el caso de los folletos sanitarios

La población de inmigrantes ha crecido mucho en los últimos años en España, genera muchos beneficios y también desafíos para la sociedad. Por una parte, el crecimiento de la población inmigrante con una edad promedio más baja y una tasa de natalidad más alta, puede compensar temporalmente el desequilibrio demográfico del sistema de pensiones. Por otra parte, el gobierno ha ido tomando conciencia de la nueva naturaleza plural y diversa de la sociedad y de los desafíos que la acompañan. Esta conciencia se ha reflejado en distintos planes estratégicos propuestos, por ejemplo el Plan director de inmigración en el ámbito de la salud (2006), etc. Todos estos mencionan una serie de necesidades nuevas en el panorama de nuestros servicios públicos a la llegada de colectivos de personas procedentes de otros países. Las barreras lingüísticas y culturales son cada vez más patentes y la traducción e interpretación se ha convertido en una herramienta fundamental a la hora de sortear dichos obstáculos, y entre las soluciones propuestas, surgen distintas formas de comunicación mediada: la interpretación en los servicios públicos (presencial o telefónica), la mediación intercultural y la traducción de distintos materiales. La Comunidad de Madrid acoge un importante número de inmigrantes de origen chino. Se observa que la mayoría de los que llegan, apenas cuentan con los elementos comunicativos en español que les facilitaría la integración en la sociedad española. Se ha observado que este grupo tiene necesidades de traducción e interpretación en muchos campos, especialmente en el de salud. Al mismo tiempo, las investigaciones sobre la traducción en el ámbito sanitario entre el español y chino se quedan aún como un área nada explorada, mucho más atrasada que las investigaciones español-inglés. Así que es de vital importancia desarrollar técnicas de traducción específicas que contribuyan a facilitar la interacción sanitaria entre españoles e inmigrantes chinos. En resumen, este estudio tiene como objetivo, a partir de los folletos sanitarios ya traducidos para la comunidad china en Madrid, analizar las dificultades de su traducción desde el punto de vista intercultural.Máster Universitario en Comunicación Intercultural, Interpretación y Traducción en los Servicios Públicos. Especialidad en Chino-Español (M043

Dynamic Optimization of Robot Automatic Control System Based on Differential Algebraic Equations

In order to understand the different performances of robots under different control systems, the author has carried out dynamic optimization research on the control system of robots combined with differential algebraic equations. In this study, the general form of the discrete differential-algebraic equation (DAE) optimization problem using the Orthogonal Configuration of Finite Element (OCFE) method is deeply analyzed, and the equivalent conditions of the direct discrete scheme and the indirect discrete scheme are obtained through rigorous proof. On this basis, a variety of common configuration methods are simulated and analyzed, and it is found that indirect Lobatto configuration can achieve better results in many aspects. The results show that the discrete algorithm using differential algebraic equations can effectively achieve dynamic optimization of the control system, thus achieving the author’s research purpose