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| 1 | A full-process intelligent trial system for smart court显示文摘In constructing a smart court,to provide intelligent assistance for achieving more efficient,fair,and explainable trial proceedings,we propose a full-process intelligent trial system(FITS).In the proposed FITS,we introduce essential tasks for constructing a smart court,including information extraction,evidence classification,question generation,dialogue summarization,judgment prediction,and judgment document generation.Specifically,the preliminary work involves extracting elements from legal texts to assist the judge in identifying the gist of the case efficiently.With the extracted attributes,we can justify each piece of evidence’s validity by establishing its consistency across all evidence.During the trial process,we design an automatic questioning robot to assist the judge in presiding over the trial.It consists of a finite state machine representing procedural questioning and a deep learning model for generating factual questions by encoding the context of utterance in a court debate.Furthermore,FITS summarizes the controversy focuses that arise from a court debate in real time,constructed under a multi-task learning framework,and generates a summarized trial transcript in the dialogue inspectional summarization(DIS)module.To support the judge in making a decision,we adopt first-order logic to express legal knowledge and embed it in deep neural networks(DNNs)to predict judgments.Finally,we propose an attentional and counterfactual natural language generation(AC-NLG)to generate the court’s judgment. | Bin WEI Kun KUANG Changlong SUN Jun FENG Yating ZHANG Xinli ZHU Jianghong ZHOU Yinsheng ZHAI Fei WU | 2022 | Frontiers of Information Technology & Electronic Engineering2022，23，2： | 2 |
| 2 | Measurement of air exchange rates in different indoor environments using continuous CO_2 sensors显示文摘A new air exchange rate(AER) monitoring method using continuous CO 2 sensors was developed and validated through both laboratory experiments and field studies.Controlled laboratory simulation tests were conducted in a 1-m 3 environmental chamber at different AERs(0.1-10.0 hr 1).AERs were determined using the decay method based on box model assumptions.Field tests were conducted in classrooms,dormitories,meeting rooms and apartments during 2-5 weekdays using CO 2 sensors coupled with data loggers.Indoor temperature,relative humidity(RH),and CO 2 concentrations were continuously monitored while outdoor parameters combined with on-site climate conditions were recorded.Statistical results indicated that good laboratory performance was achieved:duplicate precision was within 10%,and the measured AERs were 90%-120% of the real AERs.Average AERs were 1.22,1.37,1.10,1.91 and 0.73 hr 1 in dormitories,air-conditioned classrooms,classrooms with an air circulation cooling system,reading rooms,and meeting rooms,respectively.In an elderly particulate matter exposure study,all the homes had AER values ranging from 0.29 to 3.46 hr 1 in fall,and 0.12 to 1.39 hr 1 in winter with a median AER of 1.15. | Yan You Can Niu Jian Zhou Yating Liu Zhipeng Bai Jiefeng Zhang Fei He Nan Zhang | 2012 | Journal of Environmental Sciences2012，24，4： | 2 |
| 3 | Tuned selectivity and enhanced activity of CO_(2) methanation over Ru catalysts by modified metal-carbonate interfaces显示文摘Carbonate-modified metal-support interfaces allow Ru/MnCO_(3) catalyst to exhibit over 99% selectivity,great specific activity and long-term anti-CO poisoning stability in atmospheric CO_(2) methanation.As a contrast,Ru/MnO catalyst with metal-oxide interfaces prefers reverse water-gas shift rather than methanation route,along with a remarkably lower activity and a less than 15% CH_(4) selectivity.The carbonatemodified interfaces are found to stabilize the Ru species and activate CO_(2) and H_(2) molecules.Ru-CO^(4) species are identified as the reaction intermediates steadily formed from CO_(2) dissociation,which show moderate adsorption strength and high reactivity in further hydrogenation to CH_(4),Furthermore,carbonates of Ru/MnCO_(3) are found to be consumed by hydrogenation to form CH_(4) and replenished by exchange with CO_(2),which are in a dynamic equilibrium during the reaction.Modification with surface carbonates is proved as an efficient strategy to endow metal-support interfaces of Ru-based catalysts with unique catalytic functions for selective CO_(2) hydrogenation. | Qiaojuan Wang Yating Gao Chantsalmaa Tumurbaatar Tungalagtamir Bold Fei Wei Yihu Dai Yanhui Yang | 2022 | Journal of Energy Chemistry2022，31，1： | 1 |
| 4 | High-Resolution Coupled Climate Runoff Simulations of Seasonal Snowfall over Colorado: A Process Study of Current and Warmer Climate显示文摘 | Rasmussen Roy Liu Changhai Ikeda Kyoko Gochis David Yates David Chen Fei Tewari Mukul Barlage Michael Dudhia Jimy Yu Wei Miller Kathleen Arsenault Kristi Grubisic Vanda Thompson Greg Gutmann Ethan | 2011 | Journal of Climate2011，，12： | 1 |
| 5 | Templated synthesis of imine-based covalent organic framework hollow nanospheres for stable potassium-ion batteries显示文摘Covalent organic frameworks(COFs), as highly tunable porous crystalline materials, have promising applications in potassium-ion batteries(PIBs) due to their abundant charge carrier transport channels and excellent structural stability. However, the excessive stacking of interlayer electron clouds makes it difficult to expose internal active sites. Strategies to design functional COFs with controllable morphology and copious active sites are promising but still challenging. Herein, by utilizing the condensation between1,3,5-triformylbenzene(TFB) and p-phenylenediamine(PPD) and using amino-modified SiO_(2) nanospheres as templates, we synthesize core-shell NH_(2)-SiO_(2)@TP-COF. Through NaOH etching of NH_(2)-SiO_(2)@TP-COF, we obtain imine-based TP-COF hollow nanospheres, which shows excellent potassium storage performance when applied to the anode for PIBs. Ex-situ analysis and density functional theory calculations reveal that C=N groups and benzenes are active sites for K^(+) storage. | Jianlu Sun Ruiqi Tian Yuehua Man Yating Fei Xiaosi Zhou | 2023 | Chinese Chemical Letters2023，34，7： | 0 |
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