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Regulator of G protein signaling 6 mediates exercise-induced recovery of hippocampal neurogenesis,learning,and memory in a mouse model of Alzheimer’s disease

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Neural Regeneration Research 2025年第10期20卷 2969-2981页

作者： Mackenzie M.Spicer Jianqi Yang Daniel Fu Alison N.DeVore Marisol Lauffer Nilufer S.Atasoy Deniz Atasoy Rory A.Fisher Department of Neuroscience and Pharmacology University of Iowa Carver College of MedicineIowa CityIAUSA Iowa Neuroscience Institute University of Iowa Carver College of MedicineIowa CityIAUSA interdisciplinary Graduate program in Molecular Medicine University of Iowa Carver College of MedicineIowa CityIAUSA Neural Circuits and Behavior Core University of Iowa Carver College of MedicineIowa CityIAUSA

Hippocampal neuronal loss causes cognitive dysfunction in Alzheimer’s *** hippocampal neurogenesis is reduced in patients with Alzheimer’s *** stimulates adult hippocampal neurogenesis in rodents and improves memory and slows cognitive decline in patients with Alzheimer’s ***,the molecular pathways for exercise-induced adult hippocampal neurogenesis and improved cognition in Alzheimer’s disease are poorly ***,regulator of G protein signaling 6(RGS6)was identified as the mediator of voluntary running-induced adult hippocampal neurogenesis in ***,we generated novel RGS6fl/fl;APP_(SWE) mice and used retroviral approaches to examine the impact of RGS6 deletion from dentate gyrus neuronal progenitor cells on voluntary running-induced adult hippocampal neurogenesis and cognition in an amyloid-based Alzheimer’s disease mouse *** found that voluntary running in APP_(SWE) mice restored their hippocampal cognitive impairments to that of control *** cognitive rescue was abolished by RGS6 deletion in dentate gyrus neuronal progenitor cells,which also abolished running-mediated increases in adult hippocampal *** hippocampal neurogenesis was reduced in sedentary APP_(SWE) mice versus control mice,with basal adult hippocampal neurogenesis reduced by RGS6 deletion in dentate gyrus neural precursor ***6 was expressed in neurons within the dentate gyrus of patients with Alzheimer’s disease with significant loss of these RGS6-expressing ***,RGS6 mediated voluntary running-induced rescue of impaired cognition and adult hippocampal neurogenesis in APP_(SWE) mice,identifying RGS6 in dentate gyrus neural precursor cells as a possible therapeutic target in Alzheimer’s disease.

关键词： adult hippocampal neurogenesis Alzheimer’s disease dentate gyrus exercise learning/memory neural precursor cells regulator of G protein signaling 6(RGS6)

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Planning a road weather information system with GIS

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Journal of Modern transportation 2015年第3期23卷 176-188页

作者： Liuhui Zhao Steven I.Chien Xiaobo Liu Weisong Liu interdisciplinary program in transportation New Jersey Institute of Technology College of Automobile Chang'an University School of transportation and Logistics Southwest Jiaotong University

The road weather information system （RWIS）, which collects and monitors weather and pavement surface conditions, has been proven effective to support winter road maintenance by improving safety, mobility, and effi- ciency. Although the geographic information systems are being widely applied for facility siting, traditional practices of sitting RWIS stations still heavily rely on the experi- ences of maintenance and operation personnel, which is time-consuming and subjective. This study develops a linear model to determine the optimal RWlS locations subject to three selection criteria： weather, traffic condition, and distance to existing RWIS sites, while considering practical constraints to satisfy specific requirements of various agencies （e.g., different weights of weather/traffic factors, various available budgets, etc.）.

关键词： RWIS Facility siting GIS Locationoptimization

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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01期 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.

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Influence of introducing Zr,Ti,Nb and Ce elements on externally solidified crystals and mechanical properties of high-pressure die-casting Al–Si alloy

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International Journal of Minerals,Metallurgy and Materials 2025年第1期32卷 147-153页

作者： Junjie Li Wenbo Yu Zhenyu Sun Weichen Zheng Liangwei Zhang Yanling Xue Wenning Liu Shoumei Xiong Center of Materials Science and Engineering School of Mechanical and Electronic Control EngineeringBeijing Jiaotong UniversityBeijing 100044China Traffic&transportation Engineering Central South UniversityChangsha 410075China Shanghai Synchrotron Radiation Facility Shanghai Advanced Research InstituteChinese Academy of SciencesShanghai 201204China School of Materials Science and Engineering Tsinghua UniversityBeijing 100084China

High pressure die casting(HPDC)AlSi10Mn Mg alloy castings are widely used in the automobile *** can optimize the mechanical properties of castings through heat treatment,while the release of thermal stress arouses the deformation of large integrated ***,the development of non-heat treatment Al alloys is becoming the hot *** addition,HPDC contains externally solidified crystals(ESCs),which are detrimental to the mechanical properties of *** achieve high strength and toughness of non-heat treatment die-casting Al-Si alloy,we used AlSi9Mn alloy as matrix with the introduction of Zr,Ti,Nb,and *** influences on ESCs and mechanical properties were systematically investigated through three-dimensional reconstruction and thermodynamic *** results reveal that the addition of Ti increased ESCs'size and porosity,while the introduction of Nb refined ESCs and decreased ***,large-sized Al_3(Zr,Ti)phases formed and degraded the mechanical *** introduction of Ce resulted in the poisoning effect and reduced mechanical properties.

关键词： aluminium alloy high-pressure die-casting externally solidified crystals non-heat treatment

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Prediction of NFT Sale Price Fluctuations on OpenSea Using Machine Learning Approaches

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Computers, Materials & Continua 2023年第5期75卷 2443-2459页

作者： Zixiong Wang Qiuying Chen Sang-Joon Lee interdisciplinary program of Digital Future Convergence Service Chonnam National UniversityGwangju61186Korea

The rapid expansion of the non-fungible token(NFT)market has attracted many ***,studies on the NFT price fluctuations have been relatively *** date,the machine learning approach has not been used to demonstrate a specific error in NFT sale price fluctuation *** aim of this study was to develop a prediction model for NFT price fluctuations using the NFT trading information obtained from OpenSea,the world’s largest NFT *** used Python programs to collect data and summarized them as:NFT information,collection information,and related account *** and Random Forest(RF)algorithms were employed to predict the sale price and price fluctuation of NFTs using regression and classification models,*** found that the NFT related account information,especially the number of favorites and activity status of creators,confer a good predictive power to both the *** in the regression model had more accurate predictions,the root mean square error(RMSE)in predicting NFT sale price was *** predicting NFT sale price fluctuations,RF performed better,which the area under the curve(AUC)reached *** suggest that investors should pay more attention to the information of NFT *** anticipate that these prediction models will reduce the number of investment failures for the investors.

关键词： NFT sale price fluctuation OpenSea AdaBoost Random forest

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Lattice quantum chromodynamics and baryon-baryon interactions

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Frontiers of physics 2018年第6期13卷 39-48页

作者： Tetsuo Hatsuda RIKEN interdisciplinary Theoretical and Mathematical Sciences program (iTHEMS) Wako Saitama 351-0198 Japan

After briefly reviewing the theoretical concepts and numerical methods in lattice QCD, recent sireulation results of the hadron masses and hadron interactions with nearly physical quark masses are presented. Special emphasis is placed on the baryon-baryon interactions on the basis of the HAL QCD method where the integro-differential equation for the equal-time Nambu-Bethe-Salpeter amplitude plays a key role to bridge a gap between the multi-baryon correlation and the scattering observable such as the phase shift.

关键词： lattice QCD nuclear force exotic hadron

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Three-stage approach for dynamic traffic temporal-spatial model

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Journal of Central South University 2016年第10期23卷 2728-2734页

作者：陆化普孙智源屈闻聪 Institute of transportation Engineering Tsinghua University College of Metropolitan transportation Beijing University of Technology

In order to describe the characteristics of dynamic traffic flow and improve the robustness of its multiple applications, a dynamic traffic temporal-spatial model(DTTS) is established. With consideration of the temporal correlation, spatial correlation and historical correlation, a basic DTTS model is built. And a three-stage approach is put forward for the simplification and calibration of the basic DTTS model. Through critical sections pre-selection and critical time pre-selection, the first stage reduces the variable number of the basic DTTS model. In the second stage, variable coefficient calibration is implemented based on basic model simplification and stepwise regression analysis. Aimed at dynamic noise estimation, the characteristics of noise are summarized and an extreme learning machine is presented in the third stage. A case study based on a real-world road network in Beijing, China, is carried out to test the efficiency and applicability of proposed DTTS model and the three-stage approach.

关键词： dynamic traffic flow temporal-spatial model big-data driven

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Mesenchymal stem cells,the secretome and biomaterials:Regenerative medicine application

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BIOCELL 2022年第10期46卷 2201-2208页

作者： KI-TAEK LIM TEJAL V.PATIL DINESH KPATEL SAYAN DEB DUTTA KEYA GANGULY AAYUSHI RANDHAWA Department of Biosystems Engineering Interdisciplinary Program in Smart AgricultureKangwon National UniversityChuncheon341Korea

Mesenchymal stem cells(MSCs)are multipotent cells usually isolated from bone marrow,endometrium,adipose tissues,skin,and dental *** played a crucial role in regenerative therapy and have been introduced as an interdisciplinary field between cell biology and material ***,MSCs have been widely explored for their application in regenerative medicine and COVID-19 *** approaches to evaluate the future of biomaterials and stem cell properties have been ***,misconceptions and ethical issues still exist,such as MSCs being non-angiogenic,anti-apoptotic,and immunoregulatory *** stem cells isolation primarily requires the consent of donors and can include the killing of fertilized *** issues generate questions related to ethical and moral ***,MSCs have gained considerable attention for tissue regeneration owing to their differentiation ability with immunomodulatory *** are capable of secreting a broad range of biomolecules such as proteins,nucleic acids,exosomes,microRNAs,and membrane vesicles,collectively known as *** are released in response to the surrounding *** this article,we briefly address topics related to the therapeutic potential of MSCs as an advanced approach in the field of regenerative medicine and various perspectives.

关键词： Mesenchymal Stem Cells Secretome Biomaterials Regenerative Medicine

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User Recognition System Based on Spectrogram Image Conversion Using EMG Signals

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Computers, Materials & Continua 2022年第7期72卷 1213-1227页

作者： Jae Myung Kim Gyu Ho Choi Min-Gu Kim Sung Bum Pan interdisciplinary program in IT-Bio Convergence System Chosun UniversityGwangju61452Korea IT Research Institute Chosun UniversityGwangju61452Korea

Recently,user recognitionmethods to authenticate personal identity has attracted significant attention especially with increased availability of various internet of things(IoT)services through fifth-generation technology(5G)based mobile *** EMG signals generated inside the body with unique individual characteristics are being studied as a part of nextgeneration user recognition ***,there is a limitation when applying EMG signals to user recognition systems as the same operation needs to be repeated while maintaining a constant strength of muscle over ***,it is necessary to conduct research on multidimensional feature transformation that includes changes in frequency features over *** this paper,we propose a user recognition system that applies EMG signals to the short-time fourier transform(STFT),and converts the signals into EMG spectrogram images while adjusting the time-frequency resolution to extract multidimensional *** proposed system is composed of a data pre-processing and normalization process,spectrogram image conversion process,and final classification *** experimental results revealed that the proposed EMG spectrogram image-based user recognition system has a 95.4%accuracy performance,which is 13%higher than the EMGsignal-based *** a user recognition accuracy improvement was achieved by using multidimensional features,in the time-frequency domain.

关键词： EMG user recognition spectrogram CNN

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Multi-Stream CNN-Based Personal Recognition Method Using Surface Electromyogram for 5G Security

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Computers, Materials & Continua 2022年第8期72卷 2997-3007页

作者： Jin Su Kim Min-Gu Kim Jae Myung Kim Sung Bum Pan IT Research Institute Chosun UniversityGwangju61452Korea interdisciplinary program in IT-Bio Convergence System Chosun UniversityGwangju61452Korea

As fifth generation technology standard(5G)technology develops,the possibility of being exposed to the risk of cyber-attacks that exploits vulnerabilities in the 5G environment is *** existing personal recognitionmethod used for granting permission is a password-basedmethod,which causes security ***,personal recognition studies using bio-signals are being conducted as a method to access control to *** bio-signal,surface electromyogram(sEMG)can solve the existing personal recognition problem that was unable to the modification of registered information owing to the characteristic changes in its signal according to the performed ***,as an advantage,sEMG can be conveniently measured from arms and *** paper proposes a personal recognition method using sEMG,based on a multi-stream convolutional neural network(CNN).The proposed method decomposes sEMG signals into intrinsic mode functions(IMF)using empirical mode decomposition(EMD)and transforms each IMF into a *** recognition is performed by analyzing time–frequency features from the spectrogram transformed *** database(DB)adopted in this paper is the Ninapro DB,which is a benchmark EMG *** experimental results indicate that the personal recognition performance of the multi-stream CNN using the IMF spectrogram improved by 1.91%,compared with the singlestream CNN using the spectrogram of raw sEMG.

关键词： Personal recognition electromyogram signal multi-stream network empirical mode decomposition

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