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Targeting NAD Metabolism for the Therapy of Age-Related Neurodegenerative Diseases

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Neuroscience Bulletin 2024年第2期40卷 218-240页

作者： Feifei Li Chou Wu Gelin Wang School of Pharmaceutical Sciences Ministry of Education Key Laboratory of Bioorganic Phosphorus Chemistry and Chemical BiologyTsinghua UniversityBeijing 100084China tsinghua-Peking joint Center for Life Sciences Tsinghua UniversityBeijing 100084China

As the aging population continues to grow rapidly, age-related diseases are becoming an increasing burden on the healthcare system and a major concern for the well-being of elderly individuals. While aging is an inevitable process for all humans, it can be slowed down and age-related diseases can be treated or alleviated. Nicotinamide adenine dinucleotide (NAD) is a critical coenzyme or cofactor that plays a central role in metabolism and is involved in various cellular processes including the maintenance of metabolic homeostasis, post-translational protein modifications, DNA repair, and immune responses. As individuals age, their NAD levels decline, and this decrease has been suggested to be a contributing factor to the development of numerous age-related diseases, such as cancer, diabetes, cardiovascular diseases, and neurodegenerative diseases. In pursuit of healthy aging, researchers have investigated approaches to boost or maintain NAD levels. Here, we provide an overview of NAD metabolism and the role of NAD in age-related diseases and summarize recent progress in the development of strategies that target NAD metabolism for the treatment of age-related diseases, particularly neurodegenerative diseases.

关键词： Ageing Neuroprotection NAD metabolism Therapeutic strategy Neurodegenerative diseases

Incorporating empirical knowledge into data-driven variable selection for quantitative analysis of coal ash content by laser-induced breakdown spectroscopy

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Plasma Science and Technology 2024年第7期26卷 148-156页

作者：吕一涵宋惟然侯宗余王哲 State Key Laboratory of Power System Operation and Control International Joint Laboratory on Low Carbon Clean Energy InnovationDepartment of Energy and Power EngineeringTsinghua UniversityBeijing 100084People’s Republic of China School of Energy and Electrical Engineering Qinghai UniversityXining 810016People’s Republic of China tsinghua university Shanxi Research Institute Clean EnergyTaiyuan 030032People’s Republic of China

Laser-induced breakdown spectroscopy(LIBS)has become a widely used atomic spectroscopic technique for rapid coal ***,the vast amount of spectral information in LIBS contains signal uncertainty,which can affect its quantification *** this work,we propose a hybrid variable selection method to improve the performance of LIBS *** variables are first identified using Pearson's correlation coefficient,mutual information,least absolute shrinkage and selection operator(LASSO)and random forest,and then filtered and combined with empirical variables related to fingerprint elements of coal ash ***,these variables are fed into a partial least squares regression(PLSR).Additionally,in some models,certain variables unrelated to ash content are removed manually to study the impact of variable deselection on model *** proposed hybrid strategy was tested on three LIBS datasets for quantitative analysis of coal ash content and compared with the corresponding data-driven baseline *** is significantly better than the variable selection only method based on empirical knowledge and in most cases outperforms the baseline *** results showed that on all three datasets the hybrid strategy for variable selection combining empirical knowledge and data-driven algorithms achieved the lowest root mean square error of prediction(RMSEP)values of 1.605,3.478 and 1.647,respectively,which were significantly lower than those obtained from multiple linear regression using only 12 empirical variables,which are 1.959,3.718 and 2.181,*** LASSO-PLSR model with empirical support and 20 selected variables exhibited a significantly improved performance after variable deselection,with RMSEP values dropping from 1.635,3.962 and 1.647 to 1.483,3.086 and 1.567,*** results demonstrate that using empirical knowledge as a support for datadriven variable selection can be a viable approach to improve the acc

关键词： laser-induced breakdown spectroscopy(LIBS) coal ash content quantitative analysis variable selection empirical knowledge partial least squares regression(PLSR)

Catalysts or Barriers?The Impacts of Natural Disasters on Internal Labor Migration in China

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China & World Economy 2024年第2期32卷 160-199页

作者： Xingyu Zhou Liu Han Jidong Chen Department of Political Science University of RochesterUS School of Finance Zhongnan University of Economics and LawChina School of Public Policy and Management Tsinghua UniversityChina

This paper discusses ways in which negative economic shocks captured by natural disasters can shape internal labor migration in *** impact of negative economic shocks on migration depends on the combination of two opposite driving forces:(i)negative economic shocks can make staying in the affected area less profitable,thus enhancing returns to migration;(ii)the shocks can make it more difficult to migrate out,thus inducing a higher fixed cost of *** on a nationwide dataset of China,this paper shows that when natural disasters were not severe,they caused migration out of rural *** sufficiently severe damage,however,the negative effect of natural disasters could be mitigated by villages'prior migrant ***,with a severe shock,only clan members were able to migrate in response to natural disasters and enjoyed the complementary effects of prior migrant networks,as they could receive more help from social capital.

关键词： family clans internal labor migration migrant networks natural disasters

MEIC-global-CO_(2):A new global CO_(2)emission inventory with highly-resolved source category and sub-country information

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Science China Earth Sciences 2024年第2期67卷 450-465页

作者： Ruochong XU Dan TONG Qingyang XIAO Xinying QIN Cuihong CHEN Liu YAN Jing CHENG Can CUI Hanwen HU Wenyu LIU Xizhe YAN Huaxuan WANG Xiaodong LIU Guannan GENG Yu LEI Dabo GUAN Kebin HE Qiang ZHANG Department of Earth System Science Ministry of Education Key Laboratory for Earth System ModelingInstitute for Global Change StudiesTsinghua UniversityBeijing100084China State Key joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing100084China Chinese Academy of Environmental Planning Beijing100041China Institute for Carbon Neutrality Tsinghua UniversityBeijing100084China

CO_(2)emission inventory provides fundamental data for climate research and emission ***,most global CO_(2)emission inventories were developed with energy statistics from International Energy Agency(IEA)and were available at country level with limited source ***,as the first step toward a high-resolution and dynamic updated global CO_(2)emission database,we developed a data-driven approach to construct seamless and highly-resolved energy consumption data cubes for 208 countries/territories,797 sub-country administrative divisions in 29 countries,42 fuel types,and 52 sectors,with the fusion of activity data from 24 international statistics and 65 regional/local *** CO_(2)emissions from fossil fuel combustion and cement production in 1970–2021 were then estimated with highly-resolved source category(1,484 of total)and sub-country information(797 of total).Specifically,73%of global CO_(2)emissions in 2021 were estimated with sub-country information,providing considerably improved spatial resolution for global CO_(2)emission *** the support of detailed information,the dynamics of global CO_(2)emissions across sectors and fuel types were presented,representing the evolution of global economy and progress of climate *** differences of sectoral contribution were found across sub-country administrative divisions within a given country,revealing the uneven distribution of energy and economic structure among different *** estimates were generally consistent with existing databases at aggregated level for global total or large emitters,while large discrepancies were observed for middle and small *** database,named the Multiresolution Emission Inventory model for Climate and air pollution research(MEIC)is publicly available through http://*** with highly-resolved information and timely update,which provides an independent carbon emission accounting data source for climate rese

关键词： CO_(2)emissions Data-driven approach Highly-resolved source category Sub-country information

Advances in neuromorphic computing:Expanding horizons for AI development through novel artificial neurons and in-sensor computing

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Chinese Physics B 2024年第3期33卷 1-23页

作者：杨玉波赵吉哲刘胤洁华夏扬王天睿郑纪元郝智彪熊兵孙长征韩彦军王健李洪涛汪莱罗毅 Department of Electronic Engineering Tsinghua UniversityBeijing 100084China Beijing National research Center for Information Science and Technology Tsinghua UniversityBeijing 100084China

AI development has brought great success to upgrading the information *** the same time,the large-scale artificial neural network for building AI systems is thirsty for computing power,which is barely satisfied by the conventional computing *** the post-Moore era,the increase in computing power brought about by the size reduction of CMOS in very large-scale integrated circuits(VLSIC)is challenging to meet the growing demand for AI computing *** address the issue,technical approaches like neuromorphic computing attract great attention because of their feature of breaking Von-Neumann architecture,and dealing with AI algorithms much more parallelly and energy *** by the human neural network architecture,neuromorphic computing hardware is brought to life based on novel artificial neurons constructed by new materials or *** it is relatively difficult to deploy a training process in the neuromorphic architecture like spiking neural network(SNN),the development in this field has incubated promising technologies like in-sensor computing,which brings new opportunities for multidisciplinary research,including the field of optoelectronic materials and devices,artificial neural networks,and microelectronics integration *** vision chips based on the architectures could reduce unnecessary data transfer and realize fast and energy-efficient visual cognitive *** paper reviews firstly the architectures and algorithms of SNN,and artificial neuron devices supporting neuromorphic computing,then the recent progress of in-sensor computing vision chips,which all will promote the development of AI.

关键词： neuromorphic computing spiking neural network(SNN) in-sensor computing artificial intelligence

Roadmap for rechargeable batteries:present and beyond

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Science China Chemistry 2024年第1期67卷 13-42页

作者： Sen Xin Xu Zhang Lin Wang Haijun Yu Xin Chang Yu-Ming Zhao Qinghai Meng Pan Xu Chen-Zi Zhao Jiahang Chen Huichao Lu Xirui Kong Jiulin Wang Kai Chen Gang Huang Xinbo Zhang Yu Su Yao Xiao Shu-Lei Chou Shilin Zhang Zaiping Guo Aobing Du Guanglei Cui Gaojing Yang Qing Zhao Liubing Dong Dong Zhou Feiyu Kang Hu Hong Chunyi Zhi Zhizhang Yuan Xianfeng Li Yifei Mo Yizhou Zhu Dongfang Yu Xincheng Lei Jianxiong Zhao Jiayi Wang Dong Su Yu-Guo Guo Qiang Zhang Jun Chen Li-Jun Wan CAS Key Laboratory of Molecular Nanostructure and Nanotechnology CAS Research/Education Center for Excellence in Molecular SciencesBeijing National Laboratory for Molecular Sciences(BNLMS)Institute of ChemistryChinese Academy of Sciences(CAS)Beijing 100190China university of Chinese Academy of Sciences.Beijing 100049 China Institute of Advanced Battery Materials and Devices Faculty of Materials and ManufacturingBeijing University of TechnologyBeijing 100124China Key Laboratory of Advanced Functional Materials Ministry of EducationBeijing University of TechnologyBeijing 100124China Beijing Key Laboratory of Green Chemical Reaction Engineering and Technology Department of Chemical EngineeringTsinghua UniversityBeijing 100084China State Key Laboratory of Chemistry and Utilization of Carbon-Based Energy Resources College of ChemistryXinjiang UniversityUrumqi 830046China Department of Chemical Engineering Shanghai Jiao Tong UniversityShanghai 200240China State Key Laboratory of Rare Earth Resource Utilization Changchun Institute of Applied ChemistryChangchun 130022China Institute for Carbon Neutralization College of Chemistry and Materials EngineeringWenzhou UniversityWenzhou 325035China School of Chemical Engineering and Advanced Materials The University of AdelaideAdelaide 5000Australia Qingdao Industrial Energy Storage research Institute Qingdao Institute of Bioenergy and Bioprocess TechnologyChinese Academy of SciencesQingdao 266101China Frontiers Science Center for New Organic Matter Key Laboratory of Advanced Energy Materials Chemistry(Ministry of Education)College of ChemistryNankai UniversityTianjin 300071China College of Chemistry and Materials Science Jinan UniversityGuangzhou 511443China tsinghua Shenzhen International Graduate School Tsinghua UniversityShenzhen 518055China Department of Materials Science and Engineering City University of Hong KongHong Kong 999077China Division of Energy Storage Dalian National Laboratory for Clean Energy(DNL)Dalian Institute of Chem

Rechargeable batteries currently hold the largest share of the electrochemical energy storage market,and they play a major role in the sustainable energy transition and industrial decarbonization to respond to global climate *** to the increased popularity of consumer electronics and electric vehicles,lithium-ion batteries have quickly become the most successful rechargeable batteries in the past three decades,yet growing demands in diversified application scenarios call for new types of rechargeable *** efforts are made to developing the next-generation post-Li-ion rechargeable batteries,which include,but are not limited to solid-state batteries,lithium–sulfur batteries,sodium-/potassium-ion batteries,organic batteries,magnesium-/zinc-ion batteries,aqueous batteries and flow *** the great achievements,challenges persist in precise understandings about the electrochemical reaction and charge transfer process,and optimal design of key materials and interfaces in a *** roadmap tends to provide an overview about the current research progress,key challenges and future prospects of various types of rechargeable *** computational methods for materials development,and characterization techniques will also be discussed as they play an important role in battery research.

关键词： energy storage rechargeable batteries battery materials electrochemistry

Strategies to enhance Li^(+) transference number in liquid electrolytes for better lithium batteries

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Nano research 2023年第6期16卷 8055-8071页

作者： Pan Zhou Xiaokun Zhang Yong Xiang Kai Liu Department of Chemical Engineering Tsinghua UniversityBeijing 100084China School of Materials and Energy University of Electronic Science and Technology of ChinaChengdu 611731China Advanced Energy research Institute University of Electronic Science and Technology of ChinaChengdu 611731China Sichuan Provincial Engineering research Center of Flexible Display Material Genome University of Electronic Science and Technology of ChinaChengdu 611731China

Growing market demand from portable electronics to electric automobiles boosts the development of lithium-ion batteries(LIBs)with high energy density and rate ***,strong solvation effect between lithium ions(Li^(+))and solvent molecules in common electrolytes limits the mobility of Li^(+)ions in ***,anions dominate the charge conduction in electrolytes,and in most cases,the value of Li^(+)transference number(T_(+))is between 0.2 and 0.4.A low T_(+)will aggravate concentration polarization in the process of charging and discharging,especially at high rate,which not only increases the overpotential but also intensifies side reactions,along with uneven deposition of lithium(Li)and the growth of lithium dendrites when lithium metal is used as *** this review,promising strategies to improve T_(+)in liquid electrolytes would be *** migration of Li^(+)ions is affected directly by the types and concentration of lithium salts,solvents,and additives in bulk ***,Li^(+)ions will pass through the separator and solid electrolyte interphase(SEI)when transferring between anodes and *** this in mind,we will classify and summarize threads of enhancing T_(+)from five aspects:lithium salts,solvents,additives,separators,and SEI based on different mechanisms,including covalently bonding,desolvation effect,Lewis acid-base interaction,electrostatic interaction,pore sieving,and supramolecular *** believe this review will present a systematic understanding and summary on T_(+)and point out some feasible threads to enhance battery performance by enhancing T_(+).

关键词： lithium batteries Li^(+)transference number rate performance strategies mechanisms

Bio-inspired Small Molecular Catalysis

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Chinese Journal of Chemistry 2023年第5期41卷 548-559页

作者： Mao Cai Runze Zhang Chunming Yang Sanzhong Luo Centerof Basic Molecular Science Departmentof ChemistryTsinghua UniversityBeijing100084China Sinopec Bejing research Institute of Chemical Industry Beijing100013China

What is the most favorite and original chemistry developed in your researchgroup?I hope it's always the next *** do you get into this specific field?Could you please share some experiences with ourreaders?Nature provides many astonishing catalytic machineries for building up molecular complexity and harnessing energy in the most efficient ***'s recipe for catalysis serves as a starting point to develop new catalyst for synthetic and energy chemistry.

关键词： Bio-inspired catalysis Enamine ortho-Quinone Carbocation Organocatalysis Physical organic chemistry

Cooling Performance of the Endwall Vertical Hole Considering the Interaction between Cooling Jet and Leading-Edge Horseshoe Vortex

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Journal of Thermal Science 2022年第5期31卷 1696-1708页

作者： CHEN Ziyu SU Xinrong YUAN Xin Key Laboratory for Thermal Science and Power Engineering of Ministry of Education Tsinghua UniversityBeijing100084China

Interaction between the coolant and the secondary flow plays an important role in endwall cooling *** the leading-edge region,oncoming main flow inside the boundary layer impinges onto the vane leading edge and turns into the horseshoe *** vortex entrains coolant off the surface,thus posing severe challenges to the cooling design *** on analyses on the leading-edge vortex formation mechanism,a new kind of endwall film cooling design,vertical hole upstream of the saddle point,is proposed to obtain more uniform film coverage over the vane/endwall junction *** injected from the vertical hole can pass over the horseshoe vortex and impinge around the stagnation line on the vane leading *** film coverage can be obtained around the vane leading edge where coolant clings to the endwall surface due to the span-wise pressure gradient of the stagnation *** simulations are conducted about the cooling performance of two main kinds of both isotropic and anisotropic hole geometries for the endwall and vane *** come that the anisotropic hole shows significant advantages over the isotropic one because it suppresses the symmetrical kidney vortices thus weakening the mixture with high-temperature *** ratio(M)effect is analyzed and conclusions are drawn that the cooling performance of the endwall around the leading edge is sensitive to M and adiabatic film cooling effectiveness peaks at about M=*** cooling performance over the vane corner region can be obtained when M gets even higher while the effective film coverage area *** from that,the phenomenon of phantom cooling on the upper triangular region of the suction surface can be observed when coolant on the endwall is entrained by the vortex formed at the corner of the leading edge.

关键词： film cooling leading edge secondary flow horseshoe vortex