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Acupuncture improves dendritic structure and spatial learning and memory ability of Alzheimer's disease mice

Neural Regeneration Research 2018年第8期13卷 1390-1395页

作者： Bo-Hong Kan Jian-Chun Yu Lan Zhao Jie Zhao Zhen Li Yan-Rong Suo jing-xian han First Teaching Hospital of Tianjin University of Traditional Chinese Medicine Tianjin China Tianjin Key Laboratory of Acupuncture & Moxibustion Science Tian)in China Institute of Acupuncture and Moxibustion Research Tianjin China Tianjin University of Traditional Chinese Medicine Tianjin China

Acupuncture can improve the cognitive state of Alzheimer＇s disease, but its mechanism is not clear. Dendritic atrophy and synaptic loss in Alzheimer＇s disease brain are positively correlated with cognitive damage. Therefore, we speculated that the effect of acupuncture on improving cognitive function may be associated with reduced dendritic damage in the brain. Acupuncture at Qihai（CV6）, Zhongwan（CV12）, Danzhong（CV17）, bilateral Zusanli（ST36）, and bilateral Xuehai（SP10） acupoints was performed once a day（1-day rest after 6-day treatment） for 14 consecutive days. Senescence-accelerated mouse prone 8（SAMP8） mice without acupuncture and senescence-accelerated mouse resistant 1（SAMR1） mice were used as normal controls. After 14 days of treatment, spatial learning and memory ability of mice was assessed in each group using the Morris water maze. Dendritic changes of pyramidal cells in the hippocampal CA1 region were analyzed by quantitative Golgi staining. Our results showed that acupuncture shortened escape latency and lengthened retention time of the former platform quadrant in SAMP8 mice. Further, SAMP8 mice exhibited a significant increase in the number of apical and basal dendritic branches and total length of apical and basal dendrites after acupuncture. These results suggest that acupuncture improves spatial learning and memory ability of middle-aged SAMP8 mice by ameliorating dendritic structure.Acupuncture can improve the cognitive state of Alzheimer＇s disease, but its mechanism is not clear. Dendritic atrophy and synaptic loss in Alzheimer＇s disease brain are positively correlated with cognitive damage. Therefore, we speculated that the effect of acupuncture on im- proving cognitive function may be associated with reduced dendritic damage in the brain. Acupuncture at Qihai （CV6）, Zhongwan （CV 12）, Danzhong （CV17）, bilateral Zusanli （ST36）, and bilateral Xuehai （SP10） acupoints was performed once a day （1-day rest after 6-day treat- ment） for 14 consecutive days. Senescence-accelerated mouse prone 8 （SAMP8） m

关键词： nerve regeneration Alzheimer＇s disease senescence-accelerated prone mouse 8 acupuncture cognition dendrite hippocampal CA 1 region Morris water maze Golgi staining neural regeneration

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Combined acupuncture and HuangDiSan treatment affects behavior and synaptophysin levels in the hippocampus of senescence-accelerated mouse prone 8 after neural stem cell transplantation

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Neural Regeneration Research 2018年第3期13卷 541-548页

作者： Chun-lei Zhou Lan Zhao Hui-yan Shi Jian-wei Liu liang-wei Shi Bo-hong Kan Zhen Li lian-chun Yu jing-xian han Tianjin First Center Hospital Tianjin China First Teaching Hospital of Tianjin University of Traditional Chinese Medicine Tianjin China Tianjin Key Laboratory of Acupuncture and Moxibustion Tianjin China Tianjin University of Traditional Chinese Medicine Tianjin China

Sanjiao acupuncture and HuangDiSan can promote the proliferation, migration and differentiation of exogenous neural stem cells in senescence-accelerated mouse prone 8 （SAMP8） mice and can improve learning and memory impairment and behavioral function in dementia-model mice. Thus, we sought to determine whether Sanjiao acupuncture and HuangDiSan can elevate the effect of neural stem cell transplantation in Alzheimer’s disease model mice. Sanjiao acupuncture was used to stimulate Danzhong （CV17）, Zhongwan （CV12）,Qihai （CV6）, bilateral Xuehai （SP10） and bilateral Zusanli （ST36） 15 days before and after implantation of neural stem cells （5 × 10^5） into the hippocampal dentate gyrus of SAMP8 mice. Simultaneously, 0.2 mL HuangDiSan, containing Rehmannia Root and Chinese Angelica,was intragastrically administered. Our results demonstrated that compared with mice undergoing neural stem cell transplantation alone,learning ability was significantly improved and synaptophysin mRNA and protein levels were greatly increased in the hippocampus of mice undergoing both Sanjiao acupuncture and intragastric administration of HuangDiSan. We conclude that the combination of Sanjiao acupuncture and HuangDiSan can effectively improve dementia symptoms in mice, and the mechanism of this action might be related to the regulation of synaptophysin expression.

关键词： nerve regeneration neurons neurodegeneration Alzheimer＇s disease microenvironment Chinese medicine behavior neural stem cell transplantation synaptophysin neural regeneration

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Hyperspectral image super resolution using deep internal and self-supervised learning

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CAAI Transactions on Intelligence Technology 2024年第1期9卷 128-141页

作者： Zhe Liu xian-Hua han Graduate School of Science and Technology for Innovation Yamaguchi UniversityYamaguchiJapan Graduate School of Artificial Intelligence and Science Rikkyo UniversityTokyoJapan

By automatically learning the priors embedded in images with powerful modelling ca-pabilities,deep learning-based algorithms have recently made considerable progress in reconstructing the high-resolution hyperspectral(HR-HS)image.With previously collected large-amount of external data,these methods are intuitively realised under the full supervision of the ground-truth data.Thus,the database construction in merging the low-resolution(LR)HS(LR-HS)and HR multispectral(MS)or RGB image research paradigm,commonly named as HSI SR,requires collecting corresponding training triplets:HR-MS(RGB),LR-HS and HR-HS image simultaneously,and often faces dif-ficulties in reality.The learned models with the training datasets collected simultaneously under controlled conditions may significantly degrade the HSI super-resolved perfor-mance to the real images captured under diverse environments.To handle the above-mentioned limitations,the authors propose to leverage the deep internal and self-supervised learning to solve the HSI SR problem.The authors advocate that it is possible to train a specific CNN model at test time,called as deep internal learning(DIL),by on-line preparing the training triplet samples from the observed LR-HS/HR-MS(or RGB)images and the down-sampled LR-HS version.However,the number of the training triplets extracted solely from the transformed data of the observation itself is extremely few particularly for the HSI SR tasks with large spatial upscale factors,which would result in limited reconstruction performance.To solve this problem,the authors further exploit deep self-supervised learning(DSL)by considering the observations as the unlabelled training samples.Specifically,the degradation modules inside the network were elaborated to realise the spatial and spectral down-sampling procedures for transforming the generated HR-HS estimation to the high-resolution RGB/LR-HS approximation,and then the reconstruction errors of the observations were formulated for measuring the network modelling performance.By cons

关键词： computer vision deep learning deep neural networks hyperspectral image enhancement

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Efficacy and safety of carrimycin in ten patients with severe pneumonia following solid organ transplantation

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World Journal of Clinical Cases 2024年第15期12卷 2542-2550页

作者： xian-Quan Cui Lu-Wei Zhang Peng Zhao jing-jing Feng Department of Organ Transplantation Qilu Hospital of Shandong UniversityJinan 250012Shandong ProvinceChina Department of Blood Purification Qilu Hospital of Shandong UniversityJinan 250012Shandong ProvinceChina

BACKGROUND The number of patients undergoing solid organ transplantation has increased annually.However,infections in solid organ transplant recipients can have a severe effect on patient survival owing to the continued use of immunosuppressants.Carrimycin is a novel macrolide antibiotic produced by genetically engineered streptomyces spiramyceticus harboring a 4’’-O-isovaleryltransferase gene(ist)from streptomyces thermotoleran.Carrimycin has good antibacterial and antiviral effects.However,no relevant studies have been conducted on the efficacy and safety of carrimycin in patients with severe pneumonia(SP)after solid organ transplantation.AIM To explore the efficacy and safety of carrimycin in patients with SP after solid organ transplantation to provide a medication reference for clinical treatment.METHODS In March 2022,ten patients with SP following solid-organ transplantation were treated at our hospital between January 2021 and March 2022.When the condition was critical and difficult to control with other drugs,carrimycin was administered.These ten patients'clinical features and treatment protocols were retrospectively analyzed,and the efficacy and safety of carrimycin for treating SP following solid organ transplantation were evaluated.RESULTS All ten patients were included in the analysis.Regarding etiological agent detection,there were three cases of fungal pneumonia,two cases of bacterial pneumonia,two cases of Pneumocystis pneumonia,and three cases of mixed infections.After treatment with carrimycin,the disease in seven patients significantly improved,the course of the disease was significantly shortened,fever was quickly controlled,chest computed tomography was significantly improved,and oxygenation was significantly improved.Finally,the patients were discharged after curing.One patient died of acute respiratory distress syndrome,and two patients discontinued treatment.CONCLUSION Carrimycin is a safe and effective treatment modality for SP following solid organ transplantation.Carrimycin may have anti

关键词： Carrimycin Organ transplantation Severe pneumonia Immunosuppressant Infection Antiviral drugs

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Thermodynamic and experimental study of high-temperature roasting of blast furnace gas ash for recovery of metallic zinc and iron

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Journal of Iron and Steel Research(International) 2024年第1期31卷 108-120页

作者： Zi-han Wang jing Guo han-jie Guo Bin Li School of Metallurgical Engineering University of Science and Technology BeijingBeijing100083China School of Metallurgical Engineering Xi’an University of Architecture and TechnologyXi’an710055ShaanxiChina

A high-temperature reduction roasting method was used to achieve metallic iron and zinc recovery from blast furnace gas ash(BFA).The reduction processes for Zn-containing and Fe-containing oxides were analyzed in detail by using ther-modynamic equilibrium calculation and the principle of minimum free energy.The results showed that the main reaction in the system is the reduction of ZnFe_(2)_(4)and iron oxides.Over the full temperature range,iron oxides were more easily reduced than zinc oxides.Regardless of the amount of CO contained in the system,the reduction of ZnO to Zn was difficult to proceed below the boiling point(906℃)of Zn.When the reduction temperature is below 906℃,the reduction process of zinc ferrate was ZnFe_(2)_(4)→ZnO;when the reduction temperature is above 906℃,its reduction process becomed ZnFe_(2)_(4)→ZnO→Zn(g).The metallization and dezincification rates of the BFA gradually increased with increasing reaction temperature.As the C/O ratio increased,the metallization and dezincification rates first increased and then decreased.The effect of reduction time on BFA reduction was similar to that of reaction temperature.

关键词： Blast furnace gas ash Thermodynamics Zinc removal Iron reduction High-temperature reduction roasting Integrated utilization

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Communication Resource-Efficient Vehicle Platooning Control With Various Spacing Policies

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IEEE/CAA Journal of Automatica Sinica 2024年第2期11卷 362-376页

作者： Xiaohua Ge Qing-Long han xian-Ming Zhang Derui Ding IEEE School of Science Computing and Engineering TechnologiesSwinburne University of TechnologyMelbourne VIC 3122Australia

Platooning represents one of the key features that connected automated vehicles may possess as it allows multiple automated vehicles to be maneuvered cooperatively with small headways on roads. However, a critical challenge in accomplishing automated vehicle platoons is to deal with the effects of intermittent and sporadic vehicle-to-vehicle data transmissions caused by limited wireless communication resources. This paper addresses the co-design problem of dynamic event-triggered communication scheduling and cooperative adaptive cruise control for a convoy of automated vehicles with diverse spacing policies. The central aim is to achieve automated vehicle platooning under various gap references with desired platoon stability and spacing performance requirements, while simultaneously improving communication efficiency. Toward this aim, a dynamic event-triggered scheduling mechanism is developed such that the intervehicle data transmissions are scheduled dynamically and efficiently over time. Then, a tractable co-design criterion on the existence of both the admissible event-driven cooperative adaptive cruise control law and the desired scheduling mechanism is derived. Finally, comparative simulation results are presented to substantiate the effectiveness and merits of the obtained results.

关键词： Automated vehicles constant time headway spacing constant spacing cooperative adaptive cruise control event-triggered communication vehicle platooning

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Sirt5 desuccinylates Cdc42 to mediate osteoclastogenesis and bone remodeling in mice

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Genes & Diseases 2024年第3期11卷 75-78页

作者： Yuang Zhanngg jing Wang jing Luan Chuanju Liu Yazhou Cui Jinxiang han Department of Orthopedics The First Affiliated Hospital of Shandong First Medical University&Shandong Provincial Qianfoshan HospitalJi'nanShandong 250014China Biomedical Sciences College&Shandong Medicinal Biotechnology Centre Shandong First Medical University&Shandong Academy of Medical SciencesJi'nanShandong 250117China NHC Key Laboratory of Biotechnology Drugs(Shandong Academy of Medical Sciences) Ji'nanShandong 250117China Key Lab for Rare&Uncommon Diseases of Shandong Province Ji'nanShandong250117China Department of Orthopaedic Surgery New York University Grossman School of MedicineNew YorkNY 10003USA Department of Cell Biology New York University Grossman School of MedicineNewYorkNY10016USA

Post-translational modifications(PTMs)play a critical role in bone remodeling,with phosphorylation and acetylation being particularly well characterized.Recently,succinylation,a relatively uncommon PTM on lysine,has received considerable research attention for its influence on several physiological and pathological processes and conditions.1 Several substrates involved in mitochondrial pathways have been validated as substrates for the desuccinylase sirtuin 5(Sirt5),a key regulator of succinylation.2 Bone is one of the most metabolically active organs,but the role of succinylation during bone remodeling is not well characterized.

关键词： remodeling organs media

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A Simple Proof of ACC for Minimal Log Discrepancies for Surfaces

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Acta Mathematica Sinica,English Series 2024年第2期40卷 425-434页

作者： jing Jun han Yu Jie LUO Shanghai Center for Mathematical Sciences Fudan UniversityJiangwan CampusShanghai 200438P.R.China Department of Mathematics Johns Hopkins UniversityBaltimoreMD 21218USA

Following Shokurov's idea,we give a simple proof of the ACC conjecture for minimal log discrepancies for surfaces.

关键词： Ascending chain condition minimal log discrepancies minimal model program surface

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An efficient parallel algorithm of variational nodal method for heterogeneous neutron transport problems

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Nuclear Science and Techniques 2024年第4期35卷 29-45页

作者： han Yin Xiao-jing Liu Teng-Fei Zhang School of Nuclear Science and Engineering Shanghai Jiao Tong UniversityShanghai 2002040China

The heterogeneous variational nodal method(HVNM)has emerged as a potential approach for solving high-fidelity neutron transport problems.However,achieving accurate results with HVNM in large-scale problems using high-fidelity models has been challenging due to the prohibitive computational costs.This paper presents an efficient parallel algorithm tailored for HVNM based on the Message Passing Interface standard.The algorithm evenly distributes the response matrix sets among processors during the matrix formation process,thus enabling independent construction without communication.Once the formation tasks are completed,a collective operation merges and shares the matrix sets among the processors.For the solution process,the problem domain is decomposed into subdomains assigned to specific processors,and the red-black Gauss-Seidel iteration is employed within each subdomain to solve the response matrix equation.Point-to-point communication is conducted between adjacent subdomains to exchange data along the boundaries.The accuracy and efficiency of the parallel algorithm are verified using the KAIST and JRR-3 test cases.Numerical results obtained with multiple processors agree well with those obtained from Monte Carlo calculations.The parallelization of HVNM results in eigenvalue errors of 31 pcm/-90 pcm and fission rate RMS errors of 1.22%/0.66%,respectively,for the 3D KAIST problem and the 3D JRR-3 problem.In addition,the parallel algorithm significantly reduces computation time,with an efficiency of 68.51% using 36 processors in the KAIST problem and 77.14% using 144 processors in the JRR-3 problem.

关键词： Neutron transport Variational nodal method Parallelization KAIST JRR-3

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Communication-Aware Mobile Relaying via an AUV for Minimal Wait Time:A Broad Learning-Based Solution

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IEEE/CAA Journal of Automatica Sinica 2024年第3期11卷 797-799页

作者： Wenqiang Cao jing Yan xian Yang Cailian Chen Xinping Guan the Institute of Electrical Engineering Yanshan UniversityQinhuangdao 066004China IEEE the Institute of Information Science and Engineering Yanshan UniversityQinhuangdao 066004China the Department of Automation Shanghai Jiao Tong UniversityShanghai 200240China

Dear Editor,This letter studies the communication-aware mobile relaying via an autonomous underwater vehicle(AUV)for minimal wait time.Compared with the analysis-based channel prediction solution,the proposed discrete... 详细信息

关键词： underwater autonomous estimation

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