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An algorithm for preferential selection of spectroscopic targets in LEGUE

Research in Astronomy and Astrophysics 2012年第7期12卷 755-771页

作者： Jeffrey L. Carlin Sebastien Lepine Heidi Jo Newberg Li-Cai Deng Timothy C. Beers Yu-Qin Chen Norbert Christlie Xiao-Ting Fu Shuang Gao Carl J. Grillmair PuragraGuhathakurta zhan-Wen Han Jin-Liang Hou Hsu-Tai Lee Jing Li Chao Liu Xiao-Wei Liu Kai-Ke Pan J. A. Sellwood Hong-Chi Wang Fan yang Brian Yanny yue-yang zhan Zheng Zheng Zi Zhu Department of Physics Applied Physics and Astronomy Rensselaer Polytechnic Institute 110 8th Street Troy NY 12180 USA carlij@rpi.edu Department of Astrophysics American Museum of Natural History Central Park West at 79thStreet New York NY 10024 USA City University of New York 365 Fifth Avenue New York NY 10016 USA National Astronomical Observatories Chinese Academy of Sciences Beijing 100012 China National Optical Astronomy Observatory Tucson AZ 85719 USA Center for Astronomy University of Heidelberg Landesstemwarte Ktinigstuhl 12 D-69117Heidelberg Germany Spitzer Science Center 1200 E. California Blvd. Pasadena CA 91125 USA JCO/Lick Observatory Department of Astronomy and Astrophysics University of CaliforniaSanta Cruz CA 95064 USA Yunnan Astronomical Observatory Chinese Academy of Sciences Kunming 650011 China Shanghai Astronomical Observatory Chinese Academy of Sciences Shanglai 200030 China Institute of Astronomy and Astrophysics Academia Sinica EO. Box 23-141 Taipei 106 China Department of Astronomy & Kavli institute of Astronomy and Astrophysics Peking UniversityBeijing 100875 China Apache Point Observatory PO Box 59 Sunspot NM 88349 USA Department of Physics and Astronomy Rutgers University 136 Frelinghuysen RoadPiscataway NJ 08854-8019 USA Purple Mountain Observatory Chinese Academy of Sciences Nanjing 210008 China Fermi National Accelerator Laboratory EO. Box 500 Batavia IL 60510 USA Department of Physics and Astronomy University of Utah Salt Lake City UT 84112 USA Department of Astronomy Nanjing University Nanjing 210011 China

We describe a general target selection algorithm that is applicable to any survey in which the number of available candidates is much larger than the number of objects to be observed. This routine aims to achieve a balance between a smoothly- varying, well-understood selection function and the desire to preferentially select cer- tain types of targets. Some target-selection examples are shown that illustrate differentpossibilities of emphasis functions. Although it is generally applicable, the algorithm was developed specifically for the LAMOST Experiment for Galactic Understanding and Exploration （LEGUE） survey that will be carried out using the Chinese Guo Shou Jing Telescope. In particular, this algorithm was designed for the portion of LEGUE targeting the Galactic halo, in which we attempt to balance a variety of science goals that require stars at fainter magnitudes than can be completely sampled by LAMOST. This algorithm has been implemented for the halo portion of the LAMOST pilot sur- vey, which began in October 2011.

关键词： surveys: LAMOST -- Galaxy: halo -- techniques: spectroscopic

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An NIR-Ⅱ-emissive Ru(Ⅱ) metallacycle for efficient and safe immunotherapy

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Science China Chemistry 2025年第1期68卷 5-7页

作者： Chonglu Li Jianbo zhan Biao Dong Institute of Health Inspection and Testing Hubei Provincial Center for Disease Control and Prevention State Key Laboratory on Integrated Optoelectronics College of Electronic Science and Engineering Jilin University

Immunotherapy, as a groundbreaking cancer treatment, has gained considerable attention for its utilization of the body’s immune system to combat tumors [1]. This therapy induces tumor cell apoptosis, triggering a sustained anti-tumor immune response and effectively preventing tumor recurrence and metastasis [2]. The fundamental principle lies in inducing tumor cell death through specific treatment modalities, leading to the release of a cascade of signaling molecules and antigens, thereby mobilizing the immune system to actively identify and attack tumor cells [3].

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Optimizing battery deployment: Aging trajectory prediction enabling homogenous performance grouping

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Journal of Energy Chemistry 2025年第1期100卷 565-577页

作者： Shuquan Wang Feng Gao zhan Ma Hao Tian Yusen zhang School of Control Science and Engineering Shandong University Key Lab of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University

As battery deployments in electric vehicles and energy storage systems grow, ensuring homogeneous performance across units is crucial. We propose a multi-derivative imaging fusion(MDIF) model, employing advanced imaging and machine learning to predict battery aging trajectories from minimal initial data, thus facilitating effective performance grouping before deployment. Utilizing a derivative strategy and Gramian Angular Difference Field for dimensional enhancement, the MDIF model uncovers subtle predictive features from discharge curve data after only ten cycles. The architecture includes a parallel convolutional neural network with lateral connections to enhance feature integration and *** on a self-developed dataset, the model achieves an average root-mean-square error of 0.047 Ah and an average mean absolute percentage error of 1.60%, demonstrating high precision and *** robustness is further validated through transfer learning on two publicly available datasets, adapting with minimal retraining. This approach significantly reduces the testing cycles required, lowering both time and costs associated with battery testing. By enabling precise battery behavior predictions with limited data, the MDIF model optimizes battery utilization and deployment strategies, enhancing system efficiency and sustainability.

关键词： Lithium-ion battery Battery prognostics Fusion model Convolutional neural network Transfer learning

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Ammonia-induced CuO/13X for H_(2)S removal from simulated blast furnace gas at low temperature

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Green Energy & Environment 2025年第1期10卷 139-149页

作者： Erping Cao Yuhua Zheng Hao zhang Jianshan Wang Yuran Li Tingyu Zhu zhan-guo zhang Guangwen Xu Yanbin Cui State Key Laboratory of Mesoscience and Engineering Institute of Process EngineeringChinese Academy of SciencesBeijing100190China State Key Laboratory of Vanadium and Titanium Resources Comprehensive Utilization PanGang Group Research Institute Co.Ltd.Panzhihua Sichuan617000China Shenyang University of Chemical Technology Shenyang110142China University of Chinese Academy of Sciences Beijing 100049China

Blast furnace gas(BFG)is an important by-product energy for the iron and steel industry and has been widely used for heating or electricity ***,the undesirable contaminants in BFG(especially H_(2)S)generate harmful environmental *** desulfurization of BFG is urgent for integrated steel plants due to the stringent ultra-low emission *** with other desulfurization materials,zeolite-based adsorbents represent a viable option with low costs and long service *** this study,an ammonia-induced CuO modified 13X adsorbent(NH3–CuO/13X)was prepared for H_(2)S removal from simulated BFG at low *** XRD,H_(2)-TPR and TEM analysis proved that smaller CuO particles were formed and the dispersion of Cu on the surface of 13X zeolite was improved via the induction of *** on H_(2)S adsorption performance of the adsorbent was carried out using simulated BFG,and the results showed that NH3–CuO/13X-3 has better breakthrough sulfur capacity,which was more than twice the sulfur capacity of CuO/*** is proposed that the enhanced desulfurization performance of NH3–CuO/13X is attributed to an abundant pore of 13X,and combined action of 13X and *** work provided an effective way to improve the sulfur capacity of zeolite-based adsorbents via impregnation method by ammonia induction.

关键词： Blast furnace gas Desulfurization Ammonia-induced CuO 13X zeolite

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An embedded electron current layer observed at the edge of the plasma sheet in the Earth’s magnetotail

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Earth and Planetary Physics 2025年第1期9卷 148-158页

作者： ChenChen zhan RongSheng Wang QuanMing Lu San Lu XinMin Li Deep Space Exploration Laboratory/School of Earth and Space Sciences University of Science and Technology of ChinaHefei 230026China Chinese Academy of Sciences(CAS)Center for Excellence in Comparative Planetology/CAS Key Laboratory of Geospace Environment/Anhui Mengcheng National Geophysical Observatory University of Science and Technology of ChinaHefei 230026China Collaborative Innovation Center of Astronautical Science and Technology Harbin 150001China

The formation of an embedded electron current sheet within the magnetotail plasma sheet has been poorly *** this article,we present an electron current layer detected at the edge of the magnetotail plasma *** ions were demagnetized inside the electron current layer,but the electrons were still frozen in with the magnetic field ***,this decoupling of ions and electrons gave rise to a strong Hall electric field,which could be the reason for the formation of the embedded thin current *** magnetized electrons,the absence of the nongyrotropic electron distribution,and negligible energy dissipation in the layer indicate that magnetic reconnection had not been triggered within the embedded thin current *** highly asymmetric plasma on the two sides of the current layer and low magnetic shear across it could suppress magnetic *** observations indicate that the embedded electric current layer,probably generated by the Hall electric field,even down to electron scale,is not a sufficient condition for magnetic reconnection.

关键词： magnetotail plasma sheet magnetic reconnection

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Thermodynamics of Third Order Lovelock Anti-de Sitter Black Holes Revisited

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Communications in Theoretical Physics 2011年第3期55卷 449-456页

作者： ZOU De-Cheng yue Rui-Hong yang zhan-Ying Department of Physics Northwest University Xi＇an 710069 China Faculty of Science Ningbo University Ningbo 315211 China

We compute the mass and temperature of third order Lovelock black holes with negative Gauss-Bonnet coefficient a2 〈 0 in anti-de Sitter space and perform the stability analysis of topological black holes. When k = -1, the third order Lovelock black holes are thermodynamically stable for the whole range r＋. When k = 1, we found that the black hole has an intermediate unstable phase for D = 7. In eight dimensional spacetimes, however, a new phase of thermodynamically unstable small black holes appears if the coefficient a is under a critical value. For D ≥ 9, black holes have similar the distributions of thermodynamically stable regions to the case where the coefficient ＆ is under a critical value for D = 8. It is worth to mention that all the thermodynamic and conserved quantities of the black holes with fiat horizon do not depend on the Loveloek coefficients and are the same as those of black holes in general gravity.

关键词： third order Lovelock gravity AdS space thermodynamics

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Thermodynamics of Slowly Rotating Charged Black Holes in Anti-de Sitter Einstein-Gauss-Bonnet Gravity

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Chinese Physics Letters 2011年第2期28卷 58-61页

作者： ZOU De-Cheng yang zhan-Ying yue Rui-Hong Department of Physics Northwest UniversityXi’an 710069 Faculty of Science Ningbo UniversityNingbo 315211

By using a new approach,we demonstrate the analytic expressions for slowly rotating Gauss-Bonnet charged black hole solutions with one non-vanishing angular momentum in higher-dimensional anti-de Sitter *** to linear order of the rotating parameter a,the mass,Hawking temperature and entropy of the charged black holes get no corrections from rotation.

关键词： Bonnet rotating black

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A Unifi ed View of Carbon Neutrality:Solar-Driven Selective Upcycling of Waste Plastics

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Transactions of Tianjin University 2024年第1期30卷 1-26页

作者： Zhiyong Zhao Shuai yue Gaohua yang Pengfei Wang Sihui zhan MOE Key Laboratory of Pollution Processes and Environmental Criteria Tianjin Key Laboratory of Environmental Remediation and Pollution ControlCollege of Environmental Science and EngineeringTianjin 300350China

With the rapid development of plastic production and consumption globally,the amount of post-consumer plastic waste has reached levels that have posed environmental *** the substantial CO_(2)emissions throughout the plastic lifecycle from material production to its disposal,photocatalysis is considered a promising strategy for eff ective plastic recycling and *** can upgrade plastics into value-added products under mild conditions using solar energy,realizing zero carbon *** this paper,we explain the basics of photocatalytic plastic reformation and underscores plastic feedstock reformation pathways into high-value-added products,including both degradation into CO_(2)followed by reformation and direct reformation into high-value-added ***,the current applications of transforming plastic waste into fuels,chemicals,and carbon materials and the outlook on upcycling plastic waste by photocatalysis are presented,facilitating the realization of carbon neutrality and zero plastic waste.

关键词： Photocatalysis Photoreforming Plastics upcycling Carbon neutrality Energy storage and conversion

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Insight into the particle shape on the impact of dry granular flow against a rigid barrier: A DEM study

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Journal of Earth Science 2025年

作者： Rui-Xiao zhan Dong Su Xiang-Sheng Chen Yuan-Jun Jiang Guo-Ping Lei Jing-Jing Yu Key Laboratory for Resilient Infrastructures of Coastal Cities (MOE)， Shenzhen University College of Civil and Transportation Engineering， Shenzhen University School of Architecture and Urban Planning， Shenzhen University Shenzhen Key Laboratory of Green， Efficient and Intelligent Construction of Underground Metro Station， Shenzhen University Institute of Mountain Hazards and Environment， Chinese Academy of Sciences School of Transportation， Civil Engineering & Architecture， Foshan University

The effect of particle shape on the impact of dry granular flow remains an open area for further investigation. Five distinct particle shapes were examined in this study using discrete element simulations after calibrating the numerical model using a published work. The findings indicated that the particle shape had a significant influence on granular mobility. With negligible variations in normalized kinetic energy between particles of different shapes， the effect of particle shape on the increasing rate of kinetic energy became more obvious. All irregular particle scenarios had longer accumulated particle lengths down the channel than spherical particles. Variations in particle shape led to adjustments in the distribution of impact forces on the barrier. These findings substantially enhance our understanding of the distinctive effects of particle shapes on the impact mechanism of dry granular flow.

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MDCFS: few-shot object detection with multilevel decoupled classifiers

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Optoelectronics Letters 2025年

作者： LI Chuanhui ZHOU Mian FENG Zhikun SUI Zezhou GAO zhan School of Computer Science and Engineering， Tianjin University of Technology

Few-shot object detection poses unique challenges as it requires effectively learning novel classes with limited labeled data. Current approaches often suffer from biases towards base classes during fine-tuning， leading to suboptimal performance on detecting novel classes. Additionally， in complex scenes， the confusion between foreground and background objects further affects the accuracy and robustness of the model. To address these issues， we propose the Multilevel Decoupling Classification Few-Shot Algorithm (MDCFS). we decouple the standard classifier into a parallel foreground classifier and a background classifier in the Few-Shot Object Detection (FSOD) setting. This decoupling enables the independent separation of positive samples from noisy negative samples， alleviating the foreground-background confusion problem commonly encountered in few-shot detectors. For Generalized Few-Shot Object Detection (G-FSOD)， where the few-shot dataset contains base classes， we further decouple the foreground classification head into a base class classification head and a novel class classification head. To ensure balance， we assign more weight to the novel class classification head， effectively addressing the bias towards base classes. Furthermore， we optimize the initial weights of the few-shot fine-tuning stage， significantly reducing training time and mitigating catastrophic forgetting in G-FSOD. Additionally， we incorporate metric learning into our model with minimal cost. Experimental results demonstrate the effectiveness of our approach. Compared to state-of-the-art few-shot object detection methods based on fine-tuning， MDCFS achieves performance improvements of up to 6.3% on the PASCAL VOC dataset and 1.5% on the COCO dataset.

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