bluuebunny/crossref_metadata_2025_split huggingface dataset:
B7-H5 blockade enhances CD8+ T-cell-mediated antitumor immunity in colorectal cancer
Authors: Wang Jiayu , Wu Hongya , Chen Yanjun , Zhu Jinghan , Sun Linqing , Li Juntao , Yao Zhendong , Chen Yuqi , Zhang Xueguang , Xia Suhua , Chen Weichang , Shi Tongguo 
Published: September 2021

AbstractNegative immune checkpoint blockade immunotherapy has shown potential for multiple malignancies including colorectal cancer (CRC). B7-H5, a novel negative immune checkpoint regulator, is highly expressed in tumor tissues and promotes tumor immune escape. However, the clinical significance of B7-H5 expression in CRC and the role of B7-H5 in the tumor microenvironment (TME) has not been fully clarified. In this study, we observed that high B7-H5 expression in CRC tissues was significantly correlated with the lymph node involvement, AJCC stage, and survival of CRC patients. A significant inverse correlation was also observed between B7-H5 expression and CD8+ T-cell infiltration in CRC tissues. Kaplan−Meier analysis showed that patients with high B7-H5 expression and low CD8+ T-cell infiltration had the worst prognosis in our cohort of CRC patients. Remarkably, both high B7-H5 expression and low CD8+ T infiltration were risk factors for overall survival. Additionally, B7-H5 blockade using a B7-H5 monoclonal antibody (B7-H5 mAb) effectively suppressed the growth of MC38 colon cancer tumors by enhancing the infiltration and Granzyme B production of CD8+ T cells. Importantly, the depletion of CD8+ T cells obviously abolished the antitumor effect of B7-H5 blockade in the MC38 tumors. In sum, our findings suggest that B7-H5 may be a valuably prognostic marker for CRC and a potential target for CRC immunotherapy.
Loss of mpv17 affected early embryonic development via mitochondria dysfunction in zebrafish
Authors: Bian Wan-Ping , Pu Shi-Ya , Xie Shao-Lin , Wang Chao , Deng Shun , Strauss Phyllis R. , Pei De-Sheng 
Published: September 2021

AbstractMVP17 encodes a mitochondrial inner-membrane protein, and mutation of human MVP17 can cause mitochondria DNA depletion syndrome (MDDS). However, the underlying function of mpv17 is still elusive. Here, we developed a new mutant with mpv17 knockout by using the CRISPR/Cas9 system. The mpv17−/− zebrafish showed developmental defects in muscles, liver, and energy supply. The mpv17−/− larvae hardly survived beyond a month, and they showed abnormal growth during the development stage. Abnormal swimming ability was also found in the mpv17−/− zebrafish. The transmission electron microscope (TEM) observation indicated that the mpv17−/− zebrafish underwent severe mitochondria dysfunction and the disorder of mitochondrial cristae. As an energy producer, the defects of mitochondria significantly reduced ATP content in mpv17−/− zebrafish, compared to wild-type zebrafish. We hypothesized that the disorder of mitochondria cristae was contributed to the dysfunction of muscle and liver in the mpv17−/− zebrafish. Moreover, the content of major energy depot triglycerides (TAG) was decreased dramatically. Interestingly, after rescued with normal exogenous mitochondria by microinjection, the genes involved in the TAG metabolism pathway were recovered to a normal level. Taken together, this is the first report of developmental defects in muscles, liver, and energy supply via mitochondria dysfunction, and reveals the functional mechanism of mpv17 in zebrafish.
miR-2337 induces TGF-β1 production in granulosa cells by acting as an endogenous small activating RNA
Authors: Wang Lingfang , Du Xing , Li Qiqi , Wu Wangjun , Pan Zengxiang , Li Qifa 
Published: September 2021

AbstractTransforming growth factor-β1 (TGF-β1) is essential for ovarian function and female fertility in mammals. Herein, we identified three completely linked variants, including two known variants referred to as c.1583A > G and c.1587A > G and the novel variant c.2074A > C in the porcineTGF-β13′-UTR. An important role of these variants in Yorkshire sow fertility was revealed. Variants c.1583A > G and c.1587A > G were located at the miRNA response element (MRE) of miR-2337 and affected miR-2337 regulation ofTGF-β13′-UTR activity. Interestingly, miR-2337 induces, not reduces the transcription and production of TGF-β1 in granulosa cells (GCs). Mechanistically, miR-2337 enhancesTGF-β1promoter activity via the MRE motif in the core promoter region and alters histone modifications, including H3K4me2, H3K4me3, H3K9me2, and H3K9ac. In addition, miR-2337 controls TGF-β1-mediated activity of the TGF-β signaling pathway and GC apoptosis. Taken together, our findings identify miR-2337 as an endogenous small activating RNA (saRNA) ofTGF-β1in GCs, while miR-2337 is identified as a small activator of the TGF-β signaling pathway which is expected to be a new target for rescuing GC apoptosis and treating low fertility.
A costimulatory molecule-related signature in regard to evaluation of prognosis and immune features for clear cell renal cell carcinoma
Authors: Hua Xiaoliang , Ge Shengdong , Zhang Jiong , Xiao Haibing , Tai Sheng , Yang Cheng , Zhang Li , Liang Chaozhao 
Published: September 2021

AbstractCostimulatory molecules have been proven to enhance antitumor immune responses, but their roles in clear cell renal cell carcinoma (ccRCC) remain unexplored. In this study, we aimed to explore the gene expression profiles of costimulatory molecule genes in ccRCC and construct a prognostic signature to improve treatment decision-making and clinical outcomes. We performed the first comprehensive analysis of costimulatory molecules in patients with ccRCC and identified 13 costimulatory molecule genes with prognostic values and diagnostic values. Consensus clustering analysis based on these 13 costimulatory molecular genes showed different distribution patterns and prognostic differences for the two clusters identified. Then, a costimulatory molecule-related signature was constructed based on these 13 costimulatory molecular genes, and validated in an external dataset, showing good performance for predicting a patient’s prognosis. The signature was an independent risk factor for ccRCC patients and was significantly correlated with patients’ clinical factors, which could be used as a complement for clinical factors. In addition, the signature was associated with the tumor immune microenvironment and the response to immunotherapy. Patients identified as high-risk based on our signature exhibited a high mutation frequency, a high level of immune cell infiltration, and an immunosuppressive microenvironment. High-risk patients tended to have high cytolytic activity scores and immunophenoscore of CTLA4 and PD1/PD-L1/PD-L2 blocker than low-risk patients, suggesting these patients may be more suitable for immunotherapy. Therefore, our signature could provide clinicians with prognosis predictions and help guide treatment for ccRCC patients.
Trimetazidine attenuates dexamethasone-induced muscle atrophy via inhibiting NLRP3/GSDMD pathway-mediated pyroptosis
Authors: Wang Li , Jiao Xin-Feng , Wu Cheng , Li Xiao-Qing , Sun Hui-Xian , Shen Xi-Yu , Zhang Kang-Zhen , Zhao Can , Liu Li , Wang Man , Bu Yun-Ling , Li Jia-Wen , Xu Fan , Chang Chen-Lu , Lu Xiang , Gao Wei 
Published: September 2021

AbstractSkeletal muscle atrophy is one of the major side effects of high dose or sustained usage of glucocorticoids. Pyroptosis is a novel form of pro-inflammatory programmed cell death that may contribute to skeletal muscle injury. Trimetazidine, a well-known anti-anginal agent, can improve skeletal muscle performance both in humans and mice. We here showed that dexamethasone-induced atrophy, as evidenced by the increase of muscle atrophy F-box (Atrogin-1) and muscle ring finger 1 (MuRF1) expression, and the decrease of myotube diameter in C2C12 myotubes. Dexamethasone also induced pyroptosis, indicated by upregulated pyroptosis-related protein NLR family pyrin domain containing 3 (NLRP3), Caspase-1, and gasdermin-D (GSDMD). Knockdown of NLRP3 or GSDMD attenuated dexamethasone-induced myotube pyroptosis and atrophy. Trimetazidine treatment ameliorated dexamethasone-induced muscle pyroptosis and atrophy both in vivo and in vitro. Activation of NLRP3 using LPS and ATP not only increased the cleavage and activation of Caspase-1 and GSDMD, but also increased the expression levels of atrophy markers MuRF1 and Atrogin-1 in trimetazidine-treated C2C12 myotubes. Mechanically, dexamethasone inhibited the phosphorylation of PI3K/AKT/FoxO3a, which could be attenuated by trimetazidine. Conversely, co-treatment with a PI3K/AKT inhibitor, picropodophyllin, remarkably increased the expression of NLRP3 and reversed the protective effects of trimetazidine against dexamethasone-induced C2C12 myotube pyroptosis and atrophy. Taken together, our study suggests that NLRP3/GSDMD-mediated pyroptosis might be a novel mechanism for dexamethasone-induced skeletal muscle atrophy. Trimetazidine might be developed as a potential therapeutic agent for the treatment of dexamethasone-induced muscle atrophy.
A quasi‐differential type event‐triggered model predictive control for perturbed continuous linear systems with constraints
Authors: Xu Zhongxian , He Lile , He Ning , Bai Botao 
Published: September 2021

AbstractA quasi‐differential type event‐triggered model predictive control (ET‐MPC) framework for continuous‐time linear systems with additional disturbances is constructed. Different from the existing ET‐MPC, the triggering condition of the proposed method is focused on the differences of the errors between the actual states and the best prediction sequence at two consecutive sampling moments. Its advantage is that the dynamic characteristics of state changes can be better considered, which will achieve a more effective balance between communication load and system control performance. Then, to deal with persistent disturbances, a time‐varying tightening robustness state constraint is utilized in this scheme, instead of conventional state constraints. Finally, the new ET‐MPC algorithm is designed based on the dual‐mode control framework, and its feasibility, the system closed‐loop stability, as well as avoidance of Zeno behaviour are rigorously verified. Simulations and comparisons are provided to demonstrate the algorithm effectiveness.
A dynamic routing CapsNet based on increment prototype clustering for overcoming catastrophic forgetting
Authors: Wang Meng , Guo Zhengbing , Li Huafeng 
Published: September 2021

AbstractIn continual learning, previously learnt knowledge tends to be overlapped by the subsequent training tasks. This bottleneck, known as catastrophic forgetting, has recently been relieved between vision tasks involving pixel shuffles etc. Nevertheless, the challenge lies in the continuous classification of the sequential sets discriminated by global transformations, such as excessively spatial rotations. Aim at this, a novel strategy of dynamic memory routing is proposed to dominate the forward paths of capsule network (CapsNet) according to the current input sets. To recall previous knowledge, a binary routing table is maintained among these sequential tasks. Then, an increment procedure of competitive prototype clustering is integrated to update the routing of the current task. Moreover, a sparsity measurement is employed to decouple the salient routing among the different learnt tasks. The experimental results demonstrate the superiority of the proposed memory network over the state–of–the–art approaches by the recalling evaluations on extended sets of Cifar–100, CelebA and Tiny ImageNet etc.
Overview of recent progress in condition monitoring for insulated gate bipolar transistor modules: Detection, estimation, and prediction
Authors: Huang Meng , Wang Haoran , Bai Liangjun , Li Kang , Bai Ju , Zha Xiaoming 
Published: September 2021

AbstractThe insulated gate bipolar transistor (IGBT) is one of the most fragile components in power electronics converters. In order to improve the reliability of IGBTs, various measurements are taken according to the condition monitoring (CM) technique. Traditional CM techniques include the measurement and estimation of the device operation conditions. Recently, emerging techniques have been developed, not only for the detection and estimation but also for the prognostics of IGBTs with the condition data. In this paper, a review is performed on the recent progress in the CM techniques for IGBTs. First, some emerging electrical and thermal measurements are reviewed. Based on the sensed data, the health indicator estimation techniques are summarised. Moreover, for the emerging prognostics and health management applications, some remaining using lifetime (RUL) prediction methods are reviewed. Finally, the research gaps and directions are discussed for the CM in IGBT applications.
SAR image classification based on multi‐feature fusion decision convolutional neural network
Authors: Guo Liang 
Published: September 2021

AbstractWith the success of convolutional neural network (CNN) in the field of image processing and image recognition, an improved fully convolutional neural network (FCNN) based on CNN is proposed. Although FCNN has better performance than CNN, the number of parameters of FCNN has also increased significantly compared to CNN. Consequently, this paper proposes a multi‐feature fusion decision convolutional neural network (MFFD‐CNN), which use two kinds down‐sample methods in the pooling layer, and chooses the concatenate or add operation as the way that consolidates the feature of the convolutional layer with a stride of 2 and the max‐pooling layer to execute fusion operations. Meanwhile replaces the traditional softmax loss with an additive margin Softmax (AM‐Softmax) loss. The structure, which is based on the multi‐target classification experiment results of the MSTAR data set, shows can not only obtain an average correct recognition rate 1.2% higher than FCNN, but also better stability without augmenting the training samples of MSTAR data.
Optimal distributed cooperative jamming resource allocation for multi‐missile threat scenario
Authors: Wu Zhaodong , Hu Shengliang , Luo Yasong , Li Xiang 
Published: September 2021

AbstractJamming resources allocation (JRA) is an essential task in clustered combat environments. Especially in cases with multiple threats, efficient JRA is imperative for protecting key assets. In this study, multiple distributed outboard jammers protecting multiple targets against a multi‐missile threat are considered, where the function of JRA includes jamming object selection and jammer power allocation. To address this problem, first, a scheme to evaluate the jamming effectiveness of the radar seeker under cooperative jamming from multiple jammers is proposed. Considering power allocation, a mixed‐integer programing model for the optimisation of JRA is further established. A two‐track simultaneous update binary particle swarm algorithm (TS‐BPSO) is then devised to obtain the solutions of the JRA. Finally, the effectiveness of the proposed method for multiple jammers in the multiple missiles scenario is evaluated through simulations. The simulation results suggest that the distributed cooperative jamming resource allocation is affected by the incoming orientation of the missile and the relative position of the jammers and the targets. The findings of the study enable evaluating the use of jammer formations and provide insights into developing effective jamming strategies.
Online pricing for demand‐side management in a low‐voltage resistive micro‐grid via a Stackelberg game with incentive strategies
Authors: Genis Mendoza Fernando , Konstantopoulos George , Bauso Dario 
Published: September 2021

AbstractIt has been demonstrated that online pricing mechanisms are a viable solution for demand side management in power systems. This study deals with the analysis and design of a droop‐controlled low‐voltage resistive AC micro‐grid network system. Such a system is subjected to a dynamic demand obtained from an online pricing mechanism, which is proposed as a novelty in the study of micro‐grids. This mechanism is derived from a variation of the Stackelberg game, which includes the use of incentive strategies. First, a configuration in which a supplier announces an incentive function and ‐consumers’ reaction to the resulting personalised price is presented. Then, a detailed stability analysis of the micro‐grid is presented as a result of the interaction with the aforementioned online pricing mechanism. The units of the micro‐grid (generators as the supplier and loads as the consumers) operate under either conventional or bounded droop control. The novelty of the approach is that it bridges the gap between the physical and the market layers of the problem. The ways in which the existence of multiple equilibrium points is guaranteed for both the consumer's load and the supplier's announced incentive are shown. A detailed design process for the profit functions of the players is shown in conjunction with the parameter selection for their implementation. Finally, simulations that demonstrate the system stability and its convergence to different equilibria are implemented under scenarios with one and multiple consumers.
Prospects for a polarimetric mapping of the Sgr A molecular cloud complex with IXPE
Authors: Ferrazzoli R. , Di Gesu L. , Donnarumma I. , Soffitta P. , Costa E. , Muleri F. , Pesce-Rollins M. , Marin F. 
Published: September 2021

Context. The X-ray polarization degree of the molecular clouds surrounding Sgr A* is expected to be greatly reduced due to the mixing of the polarized reflection emission with the unpolarized thermal emission that pervades the Galactic center region. This makes this type of observation a challenging experiment for the upcoming Imaging X-ray Polarimeter Explorer (IXPE), whose launch is expected in 2021.
Aims. We aim to determine the detectability of four molecular clouds of the Sgr A complex (MC2, Bridge B2, Bridge E, and G0.11-0.11) in a realistic IXPE pointing of the Sgr A field of view. We assess the minimum increase in the detectable polarization when a molecular cloud is off-axis. We provide two different strategies for reconstructing the intrinsic cloud polarization once the data is available.
Methods. We used the Monte Carlo tool ixpeobssim to simulate IXPE observations of the Sgr A molecular cloud complex. We used Chandra maps and spectra to model the diffuse emission in the Galactic center region along with a realistic model of the instrumental and diffuse background. We created synthetic polarization products of the unpolarized emission and combined them with a test data set obtained from a simulation of a 2 Ms long IXPE observation to retrieve the intrinsic polarization degree of the molecular clouds.
Results. We find that for the molecular clouds considered here, the minimum detectable polarization (MDP) increases by ~1–15% with respect to the case in which a cloud is observed on-axis. We successfully retrieve the intrinsic polarization degree in the 4.0–8.0 keV band and line-of-sight distance of one of them taken as an example, namely, G0.11-0.11, by correcting the observed (i.e., for a 2 Ms-long simulation) polarization degree map using either a synthetic dilution map or a Stokes intensity map of the unpolarized emission. With both methods, the position of the cloud along the line-of-sight is derived from the reconstructed polarization degree with an uncertainty of 7 and 4 pc, respectively.
Conclusions. We confirm the results of previous studies, finding that G0.11-0.11 is the most promising target. For the Sgr A molecular complex region, we propose an observation strategy that may permit detection up to three clouds in the 4.0–8.0 keV band, depending on their true line-of-sight position. We demonstrate that by using simulated data products of the unpolarized components, it is possible to clean up the observed polarization maps from the environmental contamination. The methods we present here are potentially useful for the analysis of X-ray polarimetric data of any extended source that is affected by environmental dilution of the polarized signal. To accurately measure (i.e, with uncertainties of the order of a few parsec) the distance of the cloud along the line-of-sight, a high-quality spectrum and image of the clouds quasi simultaneous to the IXPE pointing are needed.
Absolute hyperfine energy levels and isotope shift of Rb 5S–6S two-photon transition
Authors: Orson S T , McLaughlin C D , Lindsay M D , Knize R J 
Published: September 2021

Abstract
Using a Rb cell and a wavemeter, with a Doppler-free two-photon transition near 993 nm, we have measured the four hyperfine components (two isotopes, ΔF = 0) of the 5S–6S transition, finding the absolute energies of those transitions to a spectral resolution of 0.002 cm−1 = 60 MHz. We find the (87 minus 85) isotope shift of the 5S–6S transition to be +94(12) MHz. Using our single frequency cw laser with focused intensity up to 104 W cm−2 at the cell, we find no AC Stark or light shift of the lines at 6 MHz spectral resolution. We find no density shift of the lines at 6 MHz spectral resolution, for a range of Rb atom densities from 3 × 1011 to 5 × 1013 atoms/cm3.
Three-dimensional hybrid circuits: the future of neuromorphic computing hardware
Authors: Lin Peng , Xia Qiangfei 
Published: September 2021

Abstract
Recently there have been intensive research efforts to adopt emerging electronic devices for neuromorphic computing. However, the usage of these devices and arrays mainly was to implement parallel matrix multiplication in the two-dimensional (2D) space. This Perspective discusses the importance and implementation of three-dimensional (3D) hybrid circuits for neuromorphic computing, focusing on the integration density, data communication, and functional connectivity. We believe that 3D neuromorphic systems represent the future of artificial intelligence hardware with much-improved power efficiency and cognitive capabilities.
Daily Stressor Exposure and Daily Well-Being Among Sexual Minority and Heterosexual Adults in the United States: Results from the National Study of Daily Experiences (NSDE)
Authors: Wardecker Britney M , Surachman Agus , Matsick Jes L , Almeida David M 
Published: September 2021

Abstract

Background
Daily stress plays a significant role in mental and physical health. Negative mood (e.g., hopelessness) and physical symptoms (e.g., headaches) are responses often associated with daily stressors. It is theorized that some people or populations are more vulnerable or reactive to daily stressors. We propose sexual orientation as one factor that is associated with daily stress exposure and reactivity.

Purpose
To understand whether sexual minorities (SMs) differ from heterosexuals in their exposure and reactivity to general, non-sexual minority-specific stressors (e.g., arguments/disagreements, job concerns).

Methods
We used daily diary data (n = 3,323 heterosexuals [52% identified as female and 85% identified as White]; n = 98 SMs [50% identified as female and 93% identified as White]) from the National Study of Daily Experiences (NSDE). Participants completed eight consecutive evening daily diary interviews (n days = 24,773; mean days completed = 7.24) and reported daily stress exposure and daily well-being. We used multilevel modeling as an approach to examine whether sexual orientation interacted with daily stressors to predict daily negative affect and physical health.

Results
SMs tended to experience more daily stressors compared to heterosexuals; specifically, SMs reported at least one stressor on nearly half (48%) of the study days they completed, and heterosexuals reported at least one stressor on about two-fifths (41%) of the study days they completed. SMs also tended to experience more negative mood when they experienced a daily stressor compared to heterosexuals when they experienced a daily stressor.

Conclusion
We emphasize the importance of SMs’ exposure and reactivity to general daily stressors and the implications of our results for the day-to-day lives and health of SMs.