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A novel nomogram for predicting the prognosis of hepatocellular carcinoma patients following immune checkpoint inhibitors treatment beyond progression:a single center study based on Chinese population

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Hepatobiliary Surgery and Nutrition 2024年第5期13卷 771-787页

作者： Chao chen Xiaoyuan Chu hong Liu Mingzhen Zhou Zhan Shi Anfeng Si Ying Zhao Xiufeng Liu jie Shen Baorui Liu Comprehensive Cancer Center Nanjing Drum Tower Hospital Clinical College of Nanjing Medical UniversityNanjingChina Department of Oncology Jinling HospitalNanjing Medical UniversityNanjingChina Department of Cardiothoracic Surgery Nanjing Hospital Affiliated to Nanjing University of Chinese MedicineNanjingChina Department of Surgical Oncology of PLA Cancer Center Jinling HospitalNanjing Medical UniversityNanjingChina Department of Radiology Jinling HospitalNanjing Medical UniversityNanjingChina

Background:Hepatocellular carcinoma(HCC)persists as a dominant cause of cancer-related mortality globally,with a notably rapid escalation in mortality *** advent of immunotherapy,particularly immune checkpoint inhibitors(ICIs),has ushered in a new era in the management of liver cancer,albeit with unresolved challenges in the context of treatment beyond progression(TBP)and stratified prognosis in diverse *** study aimed to develop and validate a novel nomogram model to identify factors that predict the benefit of continued immunotherapy for hepatocellular carcinoma patients following disease progression in clinical ***:This study retrospectively analyzed the efficacy of ICIs in TBP,focusing on the Chinese population with advanced liver cancer.A nomogram was constructed based on four independent risk factors identified through Cox multivariate analysis,aiming to predict patient prognosis post-ICI *** model was validated through receiver operating characteristic(ROC)curve analysis and categorized patients into high-,intermediate-,and low-risk groups,with further validation using calibration plots and decision curve analysis(DCA).Results:The low-risk group demonstrated significantly enhanced overall survival(OS)compared to the high-risk group,with the nomogram predictions aligning closely with actual outcomes for 6-and 9-month *** model exhibited commendable predictive accuracy,achieving a C-index exceeding 0.7 in both training and validation *** DCA underscored the clinical utility of the nomogram-based prognostic model,further substantiated by the area under the ROC curve(AUC).Conclusions:The developed nomogram presents a potentially valuable tool for predicting the prognosis of HCC patients undergoing ICI therapy beyond progression,particularly within the Chinese ***,the study is constrained by its retrospective,single-center nature and necessitates further validation through large-scale,multicente

关键词： Hepatocellular carcinoma(HCC) immune checkpoint inhibitors(ICIs) novel nomogram

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Enhancing cut selection through reinforcement learning

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Science China Mathematics 2024年第6期67卷 1377-1394页

作者： Shengchao Wang Liang chen Lingfeng Niu Yu-hong Dai Academy of Mathematics and Systems Science Chinese Academy of SciencesBeijing100190China Research Center on Fictitious Economy and Data Science Chinese Academy of SciencesBeijing100190China

With the rapid development of artificial intelligence in recent years,applying various learning techniques to solve mixed-integer linear programming(MILP)problems has emerged as a burgeoning research *** from constructing end-to-end models directly,integrating learning approaches with some modules in the traditional methods for solving MILPs is also a promising *** cutting plane method is one of the fundamental algorithms used in modern MILP solvers,and the selection of appropriate cuts from the candidate cuts subset is crucial for enhancing *** to the reliance on expert knowledge and problem-specific heuristics,classical cut selection methods are not always transferable and often limit the scalability and generalizability of the cutting plane *** provide a more efficient and generalizable strategy,we propose a reinforcement learning(RL)framework to enhance cut selection in the solving process of ***,we design feature vectors to incorporate the inherent properties of MILP and computational information from the solver and represent MILP instances as bipartite ***,we choose the weighted metrics to approximate the proximity of feasible solutions to the convex hull and utilize the learning method to determine the weights assigned to each ***,a graph convolutional neural network is adopted with a self-attention mechanism to predict the value of weighting ***,we transform the cut selection process into a Markov decision process and utilize RL method to train the *** experiments are conducted based on a leading open-source MILP solver *** on both general and specific datasets validate the effectiveness and efficiency of our proposed approach.

关键词： reinforcement learning mixed-integer linear programming cutting plane method cut selection

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Joint Optimization of Energy Consumption and Network Latency in Blockchain-Enabled Fog Computing Networks

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China Communications 2024年第4期21卷 104-119页

作者： Huang Xiaoge Yin hongbo Cao Bin Wang Yongsheng chen Qianbin Zhang jie School of Communications and Information Engineering Chongqing University of Posts and TelecommunicationsChongqing 400065China State Key Laboratory of Networking and Switching Technology Beijing University of Posts and TelecommunicationsBeijing 100876China School of Communication and Information Engineering University of SheffieldUnited Kingdom

Fog computing is considered as a solution to accommodate the emergence of booming requirements from a large variety of resource-limited Internet of Things(IoT)*** ensure the security of private data,in this paper,we introduce a blockchain-enabled three-layer device-fog-cloud heterogeneous network.A reputation model is proposed to update the credibility of the fog nodes(FN),which is used to select blockchain nodes(BN)from FNs to participate in the consensus *** to the Rivest-Shamir-Adleman(RSA)encryption algorithm applied to the blockchain system,FNs could verify the identity of the node through its public key to avoid malicious ***,to reduce the computation complexity of the consensus algorithms and the network overhead,we propose a dynamic offloading and resource allocation(DORA)algorithm and a reputation-based democratic byzantine fault tolerant(R-DBFT)algorithm to optimize the offloading decisions and decrease the number of BNs in the consensus algorithm while ensuring the network *** results demonstrate that the proposed algorithm could efficiently reduce the network overhead,and obtain a considerable performance improvement compared to the related algorithms in the previous literature.

关键词： blockchain energy consumption fog computing network Internet of Things latency

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The genome-wide meiotic recombination landscape in ciliates and its implications for crossover regulation and genome evolution

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Journal of Genetics and Genomics 2024年第3期51卷 302-312页

作者： Lu Fu chen Gu Kazufumi Mochizuki jie Xiong Wei Miao Guangying Wang Key Laboratory of Aquatic Biodiversity and Conservation Institute of HydrobiologyChinese Academy of SciencesWuhanHubei 430072China University of Chinese Academy of Sciences Beijing 100049China Institute of Human Genetics(IGH) CNRSUniversity of Montpellier34396 MontpellierFrance Key Laboratory of Breeding Biotechnology and Sustainable Aquaculture Chinese Academy of SciencesWuhanHubei 430072China Key Laboratory of Lake and Watershed Science for Water Security Chinese Academy of SciencesNanjingJiangsu 210008China

Meiotic recombination is essential for sexual reproduction and its regulation has been extensively studied in many ***,genome-wide recombination landscape has not been reported in ciliates and it remains unknown how it is affected by the unique features of ciliates:the synaptonemal complex(SC)-independent meiosis and the nuclear ***,we show the recombination landscape in the model ciliate Tetrahymena thermophila by analyzing single-nucleotide polymorphism datasets from 38 hybrid *** detect 1021 crossover(CO)events(35.8 per meiosis),corresponding to an overall CO rate of 9.9 cM/***,gene conversion by non-crossover is rare(1.03 per meiosis)and not biased towards G or C *** with the reported roles of SC in CO interference,we find no obvious sign of CO *** tends to occur within germ-soma common genomic regions and many of the 44 identified CO hotspots localize at the centromeric or subtelomeric *** ontology analyses show that CO hotspots are strongly associated with genes responding to environmental *** discuss these results with respect to how nuclear dimorphism has potentially driven the formation of the observed recombination landscape to facilitate environmental adaptation and the sharing of machinery among meiotic and somatic recombination.

关键词： Meiotic recombination Hotspot Crossover interference Adaptive evolution

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Anti-abrasion collagen fiber-based membrane functionalized by UiO-66-NH_(2)with ultra-high efficiency and stability for oil-in-water emulsions separation

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Chinese Journal of Chemical Engineering 2024年第2期66卷 285-297页

作者： Xiaoxia Ye Rixin Huang Zhihong Zheng Juan Liu jie chen Yuancai Lv College of Environmental and Safety Engineering Fuzhou UniversityFuzhou 350108China College of Chemical Engineering Fuzhou UniversityFuzhou 350108China

Membrane separation strategies offer promising platform for the emulsion ***,the low mechanical strength of membrane separation layers and the trade-off between separation flux and efficiency present significant *** this study,we report a CFM@UiO-66-NH_(2)membrane with high separation flux,efficiency and stability,through utilizing a robust anti-abrasion collagen fiber membrane(CFM)as the multifunctional support and UiO-66-NH_(2)by an in-situ growth as the separation *** high mechanical strength of the CFM compensated for the weakness of the separation layer,while the charge-breaking effect of UiO-66-NH_(2),along with the size sieving of its constituent separating layers and the capillary effect of the collagen fibers,contributed to the potential for efficient ***,the CFM@UiO-66-NH_(2)membrane exhibited superhydrophilic properties,making it suitable for separating oil-in-water microemulsions and nanoemulsions stabilized by anionic *** membrane demonstrated remarkable separation efficiencies of up to 99.960%and a separation flux of370.05 L·m^(-2)·h^(-1).Moreover,it exhibits stability,durability,and abrasion resistance,maintaining excellent separation performance even when exposed to strong acids and alkalis without any damage to its structure and *** six cycles of reuse,it achieved a separation flux of 417.97 L·m^(-2)·h^(-1)and a separation efficiency of 99.747%.Furthermore,after undergoing 500 cycles of strong abrasion,the separation flux remained at 124.39 L·m^(-2)·h^(-1),with a separation efficiency of 99.992%.These properties make it suitable for the long-term use in harsh operating *** attribute these properties to the electrostatic effect resulting from the amino group on UiO-66-NH_(2)and its in-situ growth on the CFM,which forms a size-screening separation *** work highlights the potential of the CFM@UiO-66-NH_(2)membrane as an environmentally friendly size-screening

关键词： Collagen fibers Metal-organic frameworks Oil-in-water emulsion separation Size sieving

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Numerical modeling of all-day albedo variation for bifacial PV systems on rooftops and annual yield prediction in Beijing

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Building Simulation 2024年第6期17卷 955-964页

作者： Xiaoxiao Su chenglong Luo Xinzhu chen jie Ji Yanshun Yu Yuandan Wu Wu Zou School of Energy and Power Engineering Nanjing University of Science and TechnologyNanjing210094China Department of Thermal Science and Energy Engineering University of Science and Technology of ChinaHefei230027China Institute of Energy Research Jiangxi Academy of SciencesNanchang330096China

Bifacial PV modules capture solar radiation from both sides,enhancing power generation by utilizing reflected ***,there are difficulties in obtaining ground albedo data due to its dynamic *** address this issue,this study established an experimental testing system on a rooftop and developed a model to analyze dynamic albedo variations,utilizing specific data from the *** results showed that the all-day dynamic variations in ground albedo ranged from 0.15 to 0.22 with an average of ***,this study evaluates the annual performance of a bifacial PV system in Beijing by considering the experimental conditions,utilizing bifacial modules with a front-side efficiency of 21.23%and a bifaciality factor of 0.8,and analyzing the dynamic all-day albedo data obtained from the numerical *** results indicate that the annual radiation on the rear side of bifacial PV modules is 278.90 kWh/m^(2),which accounts for only 15.50%of the front-side ***,when using the commonly default albedo value of 0.2,the rear-side radiation is 333.01 kWh/m^(2),resulting in an overestimation of 19.40%.Under dynamic albedo conditions,the bifacial system is predicted to generate an annual power output of 412.55 kWh/m^(2),representing a significant increase of approximately 12.37%compared to an idealized monofacial PV system with equivalent front-side *** a 25-year lifespan,the bifacial PV system is estimated to reduce carbon emissions by 8393.91 kgCO_(2)/m^(2),providing an additional reduction of 924.31 kgCO_(2)/m^(2)compared to the idealized monofacial PV *** findings offer valuable insights to promote the application of bifacial PV modules.

关键词： bifacial PV module ground albedo simulation carbon emission reduction

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ST-LSTM-SA:A New Ocean Sound Velocity Field Prediction Model Based on Deep Learning

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Advances in Atmospheric Sciences 2024年第7期41卷 1364-1378页

作者： Hanxiao YUAN Yang LIU Qiuhua TANG jie LI Guanxu chen Wuxu CAI First Institute of Oceanography Ministry of Natural ResourcesQingdao 266061China Key Laboratory of Oceanic Surveying and Mapping Ministry of Natural ResourcesQingdao 266061China

The scarcity of in-situ ocean observations poses a challenge for real-time information acquisition in the *** the crucial hydroacoustic environmental parameters,ocean sound velocity exhibits significant spatial and temporal variability and it is highly relevant to oceanic *** this study,we propose a new data-driven approach,leveraging deep learning techniques,for the prediction of sound velocity fields(SVFs).Our novel spatiotemporal prediction model,STLSTM-SA,combines Spatiotemporal Long Short-Term Memory(ST-LSTM) with a self-attention mechanism to enable accurate and real-time prediction of *** circumvent the limited amount of observational data,we employ transfer learning by first training the model using reanalysis datasets,followed by fine-tuning it using in-situ analysis data to obtain the final prediction *** utilizing the historical 12-month SVFs as input,our model predicts the SVFs for the subsequent three *** compare the performance of five models:Artificial Neural Networks(ANN),Long ShortTerm Memory(LSTM),Convolutional LSTM(ConvLSTM),ST-LSTM,and our proposed ST-LSTM-SA model in a test experiment spanning 2019 to *** results demonstrate that the ST-LSTM-SA model significantly improves the prediction accuracy and stability of sound velocity in both temporal and spatial *** ST-LSTM-SA model not only accurately predicts the ocean sound velocity field(SVF),but also provides valuable insights for spatiotemporal prediction of other oceanic environmental variables.

关键词： sound velocity field spatiotemporal prediction deep learning self-allention

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Enhancing microseismic/acoustic emission source localization accuracy with an outlier-robust kernel density estimation approach

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International Journal of Mining Science and Technology 2024年第7期34卷 943-956页

作者： jie chen Huiqiong Huang Yichao Rui Yuanyuan Pu Sheng Zhang Zheng Li Wenzhong Wang State Key Laboratory of Coal Mine Disaster Dynamics and Control Chongqing UniversityChongqing 400044China School of Resources and Safety Engineering Chongqing UniversityChongqing 400044China School of Resources and Safety Engineering Central South UniversityChangsha 410083China Chongqing City Construction Investment Group Co. Ltd.Chongqing 400023China Coal Geological Exploration Institute of Gansu Lanzhou 730000China

Monitoring sensors in complex engineering environments often record abnormal data,leading to significant positioning *** reduce the influence of abnormal arrival times,we introduce an innovative,outlier-robust localization method that integrates kernel density estimation(KDE)with damping linear correction to enhance the precision of microseismic/acoustic emission(MS/AE)source *** approach systematically addresses abnormal arrival times through a three-step process:initial location by 4-arrival combinations,elimination of outliers based on three-dimensional KDE,and refinement using a linear correction with an adaptive damping *** validate our method through lead-breaking experiments,demonstrating over a 23%improvement in positioning accuracy with a maximum error of 9.12 mm(relative error of 15.80%)—outperforming 4 existing *** under various system errors,outlier scales,and ratios substantiate our method’s superior *** blasting experiments also confirm the practical applicability,with an average positioning error of 11.71 m(relative error of 7.59%),compared to 23.56,66.09,16.95,and 28.52 m for other *** research is significant as it enhances the robustness of MS/AE source localization when confronted with data *** also provides a practical solution for real-world engineering and safety monitoring applications.

关键词： Microseismic source/acoustic emission(MS/AE) Kernel density estimation(KDE) Damping linear correction Source location Abnormal arrivals

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Effect of nitrile butadiene rubber hardness on the sealing characteristics of hydraulic O-ring rod seals

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2024年第1期25卷 63-78页

作者： Xiaoxuan LI Bingqing WANG Xudong PENG Yuntang LI Xiaolu LI Yuan chen jie JIN College of Quality and Safety Engineering China Jiliang UniversityHangzhou310018China College of Mechanical and Electrical Engineering China Jiliang UniversityHangzhou310018China College of Mechanical Engineering Zhejiang University of TechnologyHangzhou310023China

The nitrile butadiene rubber(NBR)hardness effect on the sealing characteristics of hydraulic O-ring rod seals is analyzed based on a mixed lubrication elastohydrodynamic *** studies are conducted to reveal the mechanism of the influence of rubber hardness on the static and dynamic behavior of *** optimized selections of rubber hardness are then investigated under different *** show that the low hardness seal is prone to stress concentration due to the extrusion effect under high pressure conditions;it is also more prone to leaking.A high hardness seal can better prevent leakage by reducing film thickness but it will cause large frictional power loss and increase the probability of wear *** choice of low hardness is recommended to reduce friction with the premise that leakage requirements are met.

关键词： Nitrile butadiene rubber(NBR)hardness Sealing characteristics Optimized selection O-ring seal

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Full-parameter constrained parsimonious subspace identification with steady-state information for DC–DC converters

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Control Theory and Technology 2024年第2期22卷 173-183页

作者： jie Hou Zhen Yang Taifu Li Huiming Wang Jincheng Jiang Xiaolei chen College of Automation Chongqing University of Posts and TelecommunicationsChongqing400065China School of Electrical and Information Engineering Chongqing University of Science and TechnologyChongqing401331China

A full-parameter constrained parsimonious subspace identification method that incorporates the steady-state a priori infor-mation of the system is proposed to model the DC-DC converters.A parsimonious model with fewer parameters is used to represent the system,and then an optimal weighted methods is used to estimate the system parameters matrices by taking into account both dynamical data and steady-state *** with traditional data-driven methods for DC-DC convert-ers,the subspace-based method can simultaneously estimate model structure and parameter with appropriate computational ***,compared with the traditional full-parameter constrained subspace approach,the proposed algorithm can accurately estimate the system parameters with a smaller *** experimental results on a DC-DC synchronous buck converter verify the effectiveness and superiority of the proposed method.

关键词： System identification Constrained identification DC-DC converters Subspace identification

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