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Passive activity enhances residual control ability in patients with complete spinal cord injury

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Neural Regeneration Research 2025年第8期20卷 2337-2347页

作者： Yanqing Xiao Mingming Gao Zejia He Jia Zheng Hongming Bai Jia-Sheng Rao Guiyun song Wei song Xiaoguang Li Beijing Key Laboratory for Biomaterials and Neural Regeneration Beijing Advanced Innovation Center for Biomedical EngineeringSchool of Biological Science and Medical EngineeringBeihang UniversityBeijingChina Department of Rehabilitation Evaluation China Rehabilitation Research CenterBeijingChina Cardiac Center Beijing Children’s HospitalCapital Medical UniversityBeijingChina The State Key Laboratory of Virtual Reality Technology and Systems Beihang UniversityBeijingChina Department of Rehabilitation Engineering China Rehabilitation Science InstituteBeijingChina

Patients with complete spinal cord injury retain the potential for volitional muscle activity in muscles located below the spinal injury ***,because of prolonged inactivity,initial attempts to activate these muscles may not effectively engage any of the remaining neurons in the descending pathway.A previous study unexpectedly found that a brief clinical round of passive activity significantly increased volitional muscle activation,as measured by surface *** this study,we further explored the effect of passive activity on surface electromyographic signals during volitional control tasks among individuals with complete spinal cord *** patients with chronic complete thoracic spinal cord injury were *** electromyography data from eight major leg muscles were acquired and compared before and after the passive activity *** results indicated that the passive activity led to an increased number of activated volitional muscles and an increased frequency of *** the cumulative root mean square of surface electromyography amplitude for volitional control of movement showed a slight increase after passive activity,the difference was not statistically *** findings suggest that brief passive activity may enhance the ability to initiate volitional muscle activity during surface electromyography tasks and underscore the potential of passive activity for improving residual motor control among patients with motor complete spinal cord injury.

关键词： complete spinal cord injury cycle training epidural electrical stimulation motor training passive activity physiological state spinal cord circuit surface electromyography volitional control task

Domain generalization with semi-supervised learning for people-centric activity recognition

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Science China(Information Sciences) 2025年第1期68卷 171-188页

作者： Jing LIU Wei ZHU Di LI Xing HU Liang song Academy for Engineering & Technology Fudan University Shanghai East-bund Research Institute on Networking Systems of AI School of Optoelectronic Information and Computer Engineering University of Shanghai for Science & Technology

People-centric activity recognition is one of the most critical technologies in a wide range of real-world applications,including intelligent transportation systems, healthcare services, and brain-computer interfaces. Large-scale data collection and annotation make the application of machine learning algorithms prohibitively expensive when adapting to new tasks. One way of circumventing this limitation is to train the model in a semi-supervised learning manner that utilizes a percentage of unlabeled data to reduce the labeling burden in prediction tasks. Despite their appeal, these models often assume that labeled and unlabeled data come from similar distributions, which leads to the domain shift problem caused by the presence of distribution gaps. To address these limitations, we propose herein a novel method for people-centric activity recognition,called domain generalization with semi-supervised learning(DGSSL), that effectively enhances the representation learning and domain alignment capabilities of a model. We first design a new autoregressive discriminator for adversarial training between unlabeled and labeled source domains, extracting domain-specific features to reduce the distribution gaps. Second, we introduce two reconstruction tasks to capture the task-specific features to avoid losing information related to representation learning while maintaining task-specific consistency. Finally, benefiting from the collaborative optimization of these two tasks, the model can accurately predict both the domain and category labels of the source domains for the classification task. We conduct extensive experiments on three real-world sensing datasets. The experimental results show that DGSSL surpasses the three state-of-the-art methods with better performance and generalization.

关键词： activity recognition deep learning domain generalization semi-supervised learning adversarial training

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Rapid and scalable preparation of highly quaternized polymer networks to achieve efficient simultaneous adsorption of iodide and pertechnetate

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Science China Chemistry 2025年第1期68卷 337-349页

作者： Meiyun Xu song Gu Fulong Chen Zhe Zhao Peng Liu Daoben Hua State Key Laboratory of Radiation Medicine and Protection School of Radiological and Interdisciplinary Sciences (RAD-X) Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions Soochow University

The efficient separation of fission products,such as TcO4-and I-,holds strategic significance for the management of radioactive wastes and environmental *** this study,we propose an ultrafast strategy for scalable preparation of a highly quaternized organic network to facilitate efficient and synchronous separation of iodide and *** network can be prepared within a few minutes at room temperature,using polyethylenimine and 1,2,4,5-tetrakis（bromomethyl）benzene as building *** chlorine replacement,the network,abundantly decorated with quaternary ammonium groups （Cl@QPN）,exhibits an ultrahigh positive charge density of 7.6 mmol/*** enables the rapid and efficient enrichment of target anions through strong electrostatic Coulomb *** a result,Cl@QPN exhibits significantly higher adsorption rate constants of 0.830 g/（mg min） for ReO4-（a nonradioactive surrogate of TcO4-） and 0.677 g/（mg min） for I-compared to other ***,it possesses high adsorption capacities,reaching 1,681 mg/g for ReO4-and 917.4 mg/g for I-.Cl@QPN also demonstrates good selectivity towards target ions and shows efficient adsorption for99TcO4-.Additionally,Cl@QPN exhibits high dynamic processing capacities,handling up to 3,100 and 7,400 kg of simulated streams per kilogram of material for I-and ReO4-,respectively.

关键词： quaternized polymer networks adsorption pertechnetate iodide liquid radioactive streams

Calcium channels caught in peripheral glia’s tug-of-war on axon regeneration in Drosophila

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Neural Regeneration Research 2025年第2期20卷 475-476页

作者： Jackson Powell Tobias Steinschaden Rose Horowitz Yuanquan song Raymond G.Perelman Center for Cellular and Molecular Therapeutics The Children’s Hospital of PhiladelphiaPhiladelphiaPAUSA The Neuroscience Graduate Group University of PennsylvaniaPhiladelphiaPAUSA Department of Pathology and Laboratory Medicine University of PennsylvaniaPhiladelphiaPAUSA Medical University of Vienna Center for Brain ResearchDepartment of NeuroimmunologyViennaAustria

Neural damage or degeneration is at the crux of many diseases,and treatment of these diseases will require the development of therapeutics to enhance and guide neural *** intrinsic and extrinsic factors dictate a neuron’s ability to regenerate,and the combination of these factors results in the great regenerative capacity of the peripheral nervous system(PNS)and the poor regenerative capacity of the central nervous system(CNS)following *** the core of a neuron’s function is its ability to relay electrochemical signals,and a neuron’s excitability is a key factor in its ability to *** works have focused on the changes in neuronal electrophysiological properties,firing patterns,and ion flux after injury,which differentially activate signaling pathways at the core of *** role of glia in neuron regeneration has long been studied.

关键词： degeneration firing system

自动法和手工法制备去白细胞悬浮红细胞和血浆的比较

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医疗卫生装备 2017年第4期38卷 113-116页

作者：张雪松谭菲王惟吉林省血液中心长春市中心血站长春130033

目的:对比分析采用全自动血液成分分离机法和传统手工法分离得到去白细胞悬浮红细胞和血浆的质量,为进一步建立和完善成分血制备的自动化和标准化流程提供理论依据。方法:分别采用Compo Mat G5全自动血液成分分离机法和手工法分离制备... 详细信息

目的:对比分析采用全自动血液成分分离机法和传统手工法分离得到去白细胞悬浮红细胞和血浆的质量,为进一步建立和完善成分血制备的自动化和标准化流程提供理论依据。方法:分别采用Compo Mat G5全自动血液成分分离机法和手工法分离制备去白细胞全血,得到悬浮红细胞和血浆产品。然后检测2种方法所制备的去白细胞悬浮红细胞的血红蛋白质量浓度、红细胞平均体积、红细胞计数、血细胞比容、平均血红蛋白含量、平均血红蛋白质量浓度、红细胞平均体积分布宽度、初次分离后的血浆质量、蛋白含量、单袋血液制备时间等参数,并对2组实验结果进行对比和分析。结果:自动法和手工法分离得到初次分离后的血浆质量分别为(267.57±16.31)、(246.06±22.48)g(P0.05)。结论 :2种分离方法分离的去白细胞悬浮红细胞和血浆产品均符合GB 18469—2012《全血及成分血质量要求》,但通过实验结果的对比和分析可发现,全自动血液成分分离机分离的成分血的产品质量和效率均优于传统手工法。

关键词：成分血液制备全自动血液成分分离机手工法去白细胞悬浮红细胞血浆制备

急性白血病完全缓解期患者血小板深低温保存后功能变化

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中国卫生检验杂志 2017年第1期27卷 37-39页

作者：宋雪珍任小宁宋雪梅王明静王国礼大连医科大学附属威海市立医院山东威海264200 威海市中心血站山东威海264200

目的探讨急性白血病完全缓解期患者自体血小板深低温保存后,血小板功能和数量的变化,为临床使用自体冻存血小板提供实验室依据。方法应用血栓弹力图、流式细胞术和全血细胞分析仪,分析54份来自急性白血病诱导化疗后完全缓解、同时微小... 详细信息

目的探讨急性白血病完全缓解期患者自体血小板深低温保存后,血小板功能和数量的变化,为临床使用自体冻存血小板提供实验室依据。方法应用血栓弹力图、流式细胞术和全血细胞分析仪,分析54份来自急性白血病诱导化疗后完全缓解、同时微小残留病(minimal residual disease,MRD)阴性患者的自体血小板样本,在-80℃保存30 d,其血小板功能及数量的变化。结果凝血因子水平(R值)和纤维蛋白原水平(K值,α角)变化不明显,但血小板聚集功能(MA值)明显增强,差异有统计学意义(P<0.05)。新鲜血小板组的CD42b表达率较高,为(92.23±3.59)%;经深低温保存,37℃水浴复融后冰冻保存血小板组的CD42b表达率降低为(52.67±7.79)%,差异有统计学意义(t=24.96,P<0.05)。冰冻保存血小板组PLT较新鲜血小板组减少;而PDW和MPV较新鲜组增大,差异均有统计学意义(P<0.05)。结论急性白血病完全缓解期患者采集自体血小板经-80℃冰冻保存和复融,血小板数量有部分减少,但仍然满足回输要求,同时血小板聚集功能增强,对预防或治疗严重骨髓抑制期出血具有保护作用,值得临床推广应用。

关键词：急性白血病自体血小板血小板功能血小板数量深低温保存

An Iterated Greedy Algorithm with Memory and Learning Mechanisms for the Distributed Permutation Flow Shop Scheduling Problem

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Computers, Materials & Continua 2025年第1期82卷 371-388页

作者： Binhui wang Hongfeng wang College of Information Science and Engineering Northeastern UniversityShenyang110819China

The distributed permutation flow shop scheduling problem(DPFSP)has received increasing attention in recent *** iterated greedy algorithm(IGA)serves as a powerful optimizer for addressing such a problem because of its straightforward,single-solution evolution ***,a potential draw-back of IGA is the lack of utilization of historical information,which could lead to an imbalance between exploration and exploitation,especially in large-scale *** a consequence,this paper develops an IGA with memory and learning mechanisms(MLIGA)to efficiently solve the DPFSP targeted at the ***,we incorporate a memory mechanism to make a more informed selection of the initial solution at each stage of the search,by extending,reconstructing,and reinforcing the information from previous *** addition,we design a twolayer cooperative reinforcement learning approach to intelligently determine the key parameters of IGA and the operations of the memory ***,to ensure that the experience generated by each perturbation operator is fully learned and to reduce the prior parameters of MLIGA,a probability curve-based acceptance criterion is proposed by combining a cube root function with custom *** last,a discrete adaptive learning rate is employed to enhance the stability of the memory and *** ablation experiments are utilized to verify the effectiveness of the memory mechanism,and the results show that this mechanism is capable of improving the performance of IGA to a large ***,through comparative experiments involving MLIGA and five state-of-the-art algorithms on 720 benchmarks,we have discovered that MLI-GA demonstrates significant potential for solving large-scale *** indicates that MLIGA is well-suited for real-world distributed flow shop scheduling.

关键词： Distributed permutation flow shop scheduling makespan iterated greedy algorithm memory mechanism cooperative reinforcement learning

Precise gradient separation of nanoparticles using reduced graphene oxide-polyoxomolybdate membranes

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Science China Chemistry 2025年第1期68卷 209-216页

作者： Yixin Yang Wanlei Zhao Ruoxuan Zheng Hongqiang Li Wei Chen Yu-Fei song State Key Laboratory of Chemical Resource Engineering Beijing University of Chemical Technology Quzhou Institute for Innovation in Resource Chemical Engineering

The purification and size sieving of nanoparticles （NPs） represents a significant scientific ***,the r GO-polyoxometalates (POMs=PMo12,Mo132and Mo368) membranes were fabricated successfully via a simple and scalable POMsassisted in-situ photoreduction *** the mass ratio of r GO to PMo12was 1:30,the resultant r GO-PMo12membranes with highly ordered and uniform nanochannels of 1.0 nm can be obtained,which showed an accurate carbon quantum dots（CQDs） separation with a cut-off size approximately 1.0 *** increase of the size of the interlayered POMs from PMo12（1.0 nm）,{Mo132}（2.9 nm） to{Mo368}（3.8 nm）,the resultant r GO-PMo12,r GO-Mo132and r GO-Mo368exhibited precise gradient separation of CQDs and Au nanoparticles by size exclusion *** results pave a promising way to construct new twodimensional （2D） membranes for highly efficient size-selective separation.

关键词： reduced graphene oxide polyoxometalates membranes gradient separation nanoparticles

Deep learning-based end-to-end depth estimation from a single-frame fringe pattern with the FDSUNet++ network

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Optoelectronics Letters 2025年

作者： ZHU Xinjun ZHANG Jialei song Limei wang Hongyi TIAN Ruiqin School of Artificial Intelligence， Tiangong University School of Control Science and Engineering， Tiangong University

Recently the depth estimation methods based on deep learning (DL) retains challenging to estimate high-precision in fringe projection structured light three-dimensional (3D) measurement with limited information from a single-frame fringe pattern. In this letter， we proposed a FDSUNet++ convolutional neural network， which consists of a UNet++ base model， an improved squeeze-and-excitation (ISE) block， a Fourier transform (FT) data preprocessing block， and a discrete wavelet transform (DWT) block. The proposed ISE block can improve the ability of feature extraction and the designed FT data preprocessing block preserves the key features of the fringe pattern by Fourier transform. The introduced DWT block reduces the complexity and training cost of the model. By integrating these three blocks into the UNet++ network， it can better achieve depth estimation. Experimental results from two structured light datasets demonstrate that the proposed FDSUNet++ outperforms the state-of-art networks such as UNet， SUNet， R2U-Net， PCTNet and MSUNet++， achieving the best performance in both qualitative and quantitative evaluation.

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