A switched reluctance motor torque ripple reduction strategy with deadbeat current control and active thermal management

This paper presents a switched reluctance motor (SRM) torque ripple reduction strategy with deadbeat current control and active thermal management. In this method, the SRM torque is indirectly controlled by the phase current. A deadbeat current control method is used to improve the SRM phase current control accuracy, so that SRM torque control error can be reduced significantly. According to the online measurement of the power switching device temperature, the switching frequency will be reduced to prevent the SRM power converter from being damaged by over-temperature. The feasibility and effectiveness of the proposed strategy have been verified in both simulation and experimental studies

A switched reluctance motor torque ripple reduction strategy with deadbeat current control

This paper presents a switched reluctance motor (SRM) torque ripple reduction strategy with deadbeat current control. In this method, the SRM torque is indirectly controlled by the phase current. The deadbeat control method can predict the duty cycle of the switching signal for the next control period according to current error, and achieve an accurate current tracking. Thus, SRM torque control error can be reduced significantly. The feasibility and effectiveness of the proposed strategy have been verified in both simulation and experimental studies

Additional file 1 of Association of intergenerational relationships with cognitive impairment among Chinese adults 80 years of age or older: prospective cohort study

Additional file 1: Table S1. Baseline characteristics of the cohort with cut-off value 18 for MMSE scores, 1998-2018. Table S2. Baseline characteristics of the cohort with cut-off value 24 for MMSE scores from housework or childcare, 1998-2018. Table S3. Baseline characteristics of the cohort with cut-off value 24 for MMSE scores from main financial support, 1998-2018. Table S4. Baseline characteristics of the cohort with cut-off value 24 for MMSE scores from living or being visited, 1998-2018. Table S5. Baseline characteristics of the cohort with cut-off value 18 for MMSE scores from housework or childcare, 1998-2018. Table S6. Baseline characteristics of the cohort with cut-off value 18 for MMSE scores from main financial support, 1998-2018. Table S7. Baseline characteristics of the cohort with cut-off value 18 for MMSE scores from living or being visited, 1998-2018. Table S8. Association between intergenerational relationships and cognitive impairment with cut-off value 18 for MMSE scores. Table S9. Association between intergenerational relationships and cognitive impairment with cut-off value 18 for MMSE scores using traditional Cox regression. Figure S1. Cumulative cognitive impairment curves in intergenerational relationships variables

Data_Sheet_1_Plant phylogenetic relatedness and herbivore specialization interact to determine pest biocontrol efficiency in mixed plantations.DOC

Pest herbivory regulation is one of the key functions provided by diverse ecosystems, especially when compared to species depauperate agro-ecosystems and in the context of increased pest outbreaks due to global change. The dilution effect of host diversity on insect herbivory suggests that mixed plantations are feasible for regulating pest herbivory in agroecosystems. Dilution effect of increased plant diversity on insect herbivory has been widely observed, yet little is known about how it may change with plant phylogenetic relatedness and herbivore specialization, especially at the community level. Here, we compared herbivore richness, abundance, and degree of herbivory (i.e., the ratio of trees damaged by pest and total trees in a given area) among the two monocultures and the four mixed plantations in Wenchang city, Hainan Province, China. We also respectively assessed the effects of phylogenetically close or distant species on generalist and specialist herbivores in monocultures and mixture. We found that increasing the number of phylogenetically closely-related tree species could dilute generalist herbivore richness, abundance, and degree of herbivory but amplify specialist herbivore richness, abundance, and degree of herbivory. In contrast, increasing the number of phylogenetically distant tree species increased generalist herbivore richness, abundance, and degree of herbivory, while reducing specialist herbivore richness, abundance, and degree of herbivory. Our results suggest that plant phylogenetic relatedness and herbivore specialization can indeed interact to influence pest control efficiency when using mixed plantations to manage pest herbivory in agroecosystems. Thus, both herbivore specialization and plant phylogenetic relatedness should be taken into account in the management of agro-ecosystems and biodiversity conservation with respect to herbivory.</p

The Development of Digital Collection Platform under Responsible Innovation Framework: A Study on China’s Non-Fungible Token (NFT) Industry

 The combination of Non-Fungible Token (NFT) with paintings, music, games, videos and other forms of creative content is an innovation to protect the copyright of authors. It digitizes physical works with unique labels. At present, the NFT industry is blooming in the area of digital collections in China, attracting increasingly more artists, art collectors and platform enterprises to interact. However, NFT digital collection platform is facing challenges and growth limitations. This study adopts the theory framework of responsible innovation. Through semi-structured interview and secondary document review, it analyzes the positive and negative effects of China's NFT digital collections alongside technological, economical, ethical, social dimensions. The paper proposes four development paths to achieve responsible innovation of this emerging new business. Further discussion links NFT with open innovation dynamics, alongside areas for future research.   </p

Hydrogen and halogen bonds formed by MCO₃ (M = Zn, Cd) and their enhancement by a spodium bond

The binary complexes of MCO3···HF/XF (M = Zn and Cd; X = F, Cl, Br and I) have been studied using ab initio calculations. The carbonyl O atom is inclined to engage in a stronger H-bond or X-bond, with interaction energy up to −17 kcal/mol. The CdCO3 complex brings out a stronger H-bond or X-bond than does the ZnCO3 analogue. The H-bond is stronger than the X-bond for X = F and Cl, while an opposite result is obtained for X = Br and I. If the M atom in MCO3···HF/XF again participates in a spodium bond with three N-bases (HCN, CH2NH and NH3), the H-bond or X-bond is strengthened and the largest interaction energy amounts to −24 kcal/mol. In addition, the introduction of a spodium bond has a prominent effect on the geometries, orbital interaction and nature of the H-bond and X-bond.</p

A switched reluctance motor torque ripple reduction strategy with deadbeat current control and active thermal management

This paper presents a switched reluctance motor (SRM) torque ripple reduction strategy with deadbeat current control and active thermal management. In this method, the SRM torque is indirectly controlled by the phase current. A deadbeat current control method is used to improve the SRM phase current control accuracy, so that SRM torque control error can be reduced significantly. According to the online measurement of the power switching device temperature, the switching frequency will be reduced to prevent the SRM power converter from being damaged by over-temperature. The feasibility and effectiveness of the proposed strategy have been verified in both simulation and experimental studies

Image6_The integrative analysis based on super-enhancer related genes for predicting different subtypes and prognosis of patient with lower-grade glioma.TIF

Objective: Emerging evidence revealed that super-enhancer plays a crucial role in the transcriptional reprogramming for many cancers. The purpose aimed to explored how the super-enhancer related genes affects the prognosis and tumor immune microenvironment (TIME) of patients with low-grade glioma (LGG).Methods: In this study, the differentially expressed genes (DEGs) between LGG cohorts and normal brain tissue cohort were identified by the comprehensive analysis of the super-enhancer (SE) related genes. Then non-negative matrix factorization was performed to seek the optimal classification based on the DEGs, while investigating prognostic and clinical differences between different subtypes. Subsequently, a prognostic related signature (SERS) was constructed for the comprehensive evaluation in term of individualized prognosis, clinical characteristics, cancer markers, genomic alterations, and immune microenvironment of patients with LGG.Results: Based on the expression profiles of 170 DEGs, we identified three SE subtypes, and the three subtypes showed significant differences in prognostic, clinicopathological features. Then, nine optimal SE-related genes were selected to construct the SERS through the least absolute shrinkage and selection operator Cox regression analysis. Survival analysis showed that SERS had strong and stable predictive ability for the prognosis of LGG patients in the The Cancer Genome Atlas, China Glioma Genome Atlas, and Remdrandt cohorts, respectively. We also found that SERS was highly correlated with clinicopathological features, tumor immune microenvironment, cancer hallmarks, and genomic alterations in LGG patients. In addition, the predictive power of SERS for immune checkpoint inhibitor treatment is also superior. The qRT-PCR results and immunohistochemical results also confirmed the difference in the expression of four key genes in normal cells and tumors, as well as in normal tissues and tumor tissues.Conclusion: The SERS could be suitable to utilize individualized prognosis prediction and immunotherapy options for LGG patients in clinical application.</p

Image5_The integrative analysis based on super-enhancer related genes for predicting different subtypes and prognosis of patient with lower-grade glioma.TIF

Objective: Emerging evidence revealed that super-enhancer plays a crucial role in the transcriptional reprogramming for many cancers. The purpose aimed to explored how the super-enhancer related genes affects the prognosis and tumor immune microenvironment (TIME) of patients with low-grade glioma (LGG).Methods: In this study, the differentially expressed genes (DEGs) between LGG cohorts and normal brain tissue cohort were identified by the comprehensive analysis of the super-enhancer (SE) related genes. Then non-negative matrix factorization was performed to seek the optimal classification based on the DEGs, while investigating prognostic and clinical differences between different subtypes. Subsequently, a prognostic related signature (SERS) was constructed for the comprehensive evaluation in term of individualized prognosis, clinical characteristics, cancer markers, genomic alterations, and immune microenvironment of patients with LGG.Results: Based on the expression profiles of 170 DEGs, we identified three SE subtypes, and the three subtypes showed significant differences in prognostic, clinicopathological features. Then, nine optimal SE-related genes were selected to construct the SERS through the least absolute shrinkage and selection operator Cox regression analysis. Survival analysis showed that SERS had strong and stable predictive ability for the prognosis of LGG patients in the The Cancer Genome Atlas, China Glioma Genome Atlas, and Remdrandt cohorts, respectively. We also found that SERS was highly correlated with clinicopathological features, tumor immune microenvironment, cancer hallmarks, and genomic alterations in LGG patients. In addition, the predictive power of SERS for immune checkpoint inhibitor treatment is also superior. The qRT-PCR results and immunohistochemical results also confirmed the difference in the expression of four key genes in normal cells and tumors, as well as in normal tissues and tumor tissues.Conclusion: The SERS could be suitable to utilize individualized prognosis prediction and immunotherapy options for LGG patients in clinical application.</p

Data_Sheet_1_Genome-wide identification of three-amino-acid-loop-extension gene family and their expression profile under hormone and abiotic stress treatments during stem development of Prunus mume.docx

Transcription factors encoded by the three-amino-acid-loop-extension (TALE) gene family play a key role in regulating plant growth and development, and are involved in plant hormone regulatory pathways and responses to various environmental stresses. Researchers are currently studying TALE genes in different species, but Prunus mumeTALE genes have not yet been studied. Therefore, based on the P. mume genome, we found a total of 23 TALE gene family members, which were distributed on eight chromosomes. TALE genes contained the characteristic domains of this family, and could be divided into KNOTTED-like homeobox (KNOX) subfamily and BEL1-like homeobox (BELL) subfamily. They can form heterodimers with each other. Fragment duplication and tandem duplication events were the main reasons for the expansion of P. mumeTALE gene family members and the TALE genes were selected by different degrees of purification. The inter-species collinearity analysis showed that the relationship between P. mume and other four Prunus species was consistent with the distance of origin. Eleven members of P. mumeTALE genes were specifically highly expressed in stem, mainly at the early stage of stem development. The cis-element analysis showed that the promoter of P. mumeTALE genes contained a variety of hormone and abiotic stress response elements, and four TALE genes responded to two kinds of abiotic stresses and four kinds of hormones at the early stage of stem development. In conclusion, this study lays a foundation to explore the role of TALE gene family in P. mume growth and development.</p