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Comparison of models to predict air infiltration rate of buildings with different surrounding environments

Building Simulation 2024年第6期17卷 1007-1021页

作者： Shu Zheng Xiujiao Song Lin Duanmu yu xue Xudong Yang Department of Building Science Tsinghua UniversityBeijing100084China School of Civil Engineering Dalian University of TechnologyDalian116024China Shanxi Research Institute for Clean Energy Tsinghua UniversityTaiyuan030032China

The air infiltration rate of buildings strongly influences indoor environment and energy *** this study,several traditional methods for determining the air infiltration rate were compared,and their accuracy in different scenarios was ***,a method combining computational flow dynamics(CFD)with the Swami and Chandra(S-C)model was developed to predict the influence of the surrounding environment on the air infiltration *** buildings in Dalian,China,were selected:one with a simple surrounding environment and the other with a complex surrounding environment;their air infiltration rates were *** test results were used to validate the accuracy of the air infiltration rate solution models in different urban *** the building with a simple environment,the difference between the simulation and experimental results was 0.86%–22.52%.For the building with a complex environment,this difference ranged from 17.42%to 159.28%.We found that most traditional models provide accurate results for buildings with simple surrounding and that the simulation results widely vary for buildings with complex *** results of the method of combining CFD with the S-C model were more accurate,and the relative error between the simulation and test results was 10.61%.The results indicate that the environment around the building should be fully considered when calculating the air infiltration *** results of this study can guide the application of methods of determining air infiltration rate.

关键词： air infiltration rate models CFD simulation building surrounding air infiltration rate test

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A hybrid physics-informed data-driven neural network for CO_(2) storage in depleted shale reservoirs

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Petroleum Science 2024年第1期21卷 286-301页

作者： Yan-Wei Wang Zhen-xue Dai Gui-Sheng Wang Li Chen yu-Zhou Xia yu-Hao Zhou College of Construction Engineering Jilin UniversityChangchun130026JilinChina Institute of Intelligent Simulation and Early Warning for Subsurface Environment Jilin UniversityChangchun130026JilinChina School of Energy Resources China University of GeosciencesBeijing100083China Department of Safety Environmental Protection and Quality ManagementShengli OilfieldSinopecDongying257000ShandongChina Key Laboratory of Thermo-Fluid Science and Engineering of MOE School of Energy and Power EngineeringXi'an Jiaotong UniversityXi'an710049ShaanxiChina College of Computer Science and Technology China University of Petroleum(East China)Qingdao266580ShandongChina Department of Physics University of FribourgFribourg1700Switzerland

To reduce CO_(2) emissions in response to global climate change,shale reservoirs could be ideal candidates for long-term carbon geo-sequestration involving multi-scale transport ***,most current CO_(2) sequestration models do not adequately consider multiple transport ***,the evaluation of CO_(2) storage processes usually involves laborious and time-consuming numerical simulations unsuitable for practical prediction and *** this paper,an integrated model involving gas diffusion,adsorption,dissolution,slip flow,and Darcy flow is proposed to accurately characterize CO_(2) storage in depleted shale reservoirs,supporting the establishment of a training *** this basis,a hybrid physics-informed data-driven neural network(HPDNN)is developed as a deep learning surrogate for prediction and *** incorporating multiple sources of scientific knowledge,the HPDNN can be configured with limited simulation resources,significantly accelerating the forward and inversion ***,the HPDNN can more intelligently predict injection performance,precisely perform reservoir parameter inversion,and reasonably evaluate the CO_(2) storage capacity under complicated *** validation and test results demonstrate that the HPDNN can ensure high accuracy and strong robustness across an extensive applicability range when dealing with field data with multiple noise *** study has tremendous potential to replace traditional modeling tools for predicting and making decisions about CO_(2) storage projects in depleted shale reservoirs.

关键词： Deep learning Physics-informed data-driven neural network Depleted shale reservoirs CO_(2)storage Transport mechanisms

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Engineering the axial coordination of cobalt single atom catalysts for efficient photocatalytic hydrogen evolution

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Nano Research 2024年第6期17卷 5114-5121页

作者： Ning Kang Lingwen Liao xue Zhang Zhen He Binlu yu Jiahong Wang Yongquan Qu Paul KChu Seeram Ramakrishna xue-Feng yu Xin Wang Licheng Bai Materials Interfaces Center Shenzhen Institute of Advanced TechnologyChinese Academy of Sciences(CAS)Shenzhen 518055China Key Laboratory of Materials Physics Anhui Key Laboratory of Nanomaterials and NanotechnologyCAS Center for Excellence in NanoscienceInstitute of Solid State PhysicsChinese Academy of SciencesHefei 230031China Department of Chemistry City University of Hong KongKowloonHong Kong 999077China Hong Kong Branch of National Precious Metals Material Engineering Research Center(NPMM) City University of Hong KongKowloonHong Kong 999077China Key Laboratory of Special Functional and Smart Polymer Materials of Ministry of Industry and Information Technology School of Chemistry and Chemical EngineeringNorthwestern Polytechnical UniversityXi’an 710072China Department of Physics and Department of Materials Science and Engineering City University of Hong KongKowloonHong Kong 999077China National University of Singapore(NUS)Centre for Nanofibers and Nanotechnology Department of Mechanical EngineeringNational University of SingaporeSingapore 117542Singapore

Improving the catalytic activity of non-noble metal single atom catalysts(SACs)has attracted considerable attention in materials *** optimizing the local electronic structure of single atom can greatly improve their catalytic activity,it often involves in-plane modulation and requires high ***,we report a novel strategy to manipulate the local electronic structure of SACs via the modulation of axial Co-S bond anchored onto graphitic carbon nitride(C_(3)N_(4))at room temperature(RT).Each Co atom is bonded to four N atoms and one S atom(Co-(N,S)/C_(3)N_(4)).Owing to the greater electronegativity of S in the Co-S bond,the local electronic structure of the Co atoms is available to be controlled at a relatively moderate ***,when employed for the photocatalytic hydrogen evolution reaction,the adsorption energy of intermediate hydrogen(H*)on the Co atoms is remarkably *** the presence of the Co-(N,S)/C_(3)N_(4)SACs,the hydrogen evolution rates reach up to 10 mmol/(g·h),which is nearly 10 and 2.5 times greater than the rates in the presence of previously reported transition metal/C_(3)N_(4)and noble platinum nanoparticles(PtNPs)/C_(3)N_(4)catalysts,*** to the tailorable axial Co-S bond in the SAC,the local electronic structure of the Co atoms can be further optimized for other photocatalytic *** axial coordination engineering strategy is universal in catalyst designing and can be used for a variety of photocatalytic applications.

关键词： transition metal single-atom local electronic structure photocatalytic hydrogen evolution graphitic carbon nitride axial coordination environment

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Neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio:Markers predicting immune-checkpoint inhibitor efficacy and immune-related adverse events

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World Journal of Gastrointestinal Oncology 2024年第3期16卷 577-582页

作者： Qiu-yu Jiang Ru-Yi xue Department of Gastroenterology and Hepatology Zhongshan HospitalShanghai Institute of Liver DiseaseFudan UniversityShanghai 200032China Department of Gastroenterology and Hepatology Shanghai Baoshan District Wusong Central Hospital(Zhongshan Hospital Wusong BranchFudan University)Shanghai 200940China

We conducted a comprehensive review of existing prediction models pertaining to the efficacy of immune-checkpoint inhibitor(ICI)and the occurrence of immune-related adverse events(irAEs).The predictive potential of neutrophil-to-lymphocyte ratio(NLR)and platelet-to-lymphocyte ratio(PLR)in determining ICI effectiveness has been extensively investigated,while limited research has been conducted on predicting ***,the combined model incor-porating NLR and PLR,either with each other or in conjunction with additional markers such as carcinoembryonic antigen,exhibits superior predictive capabilities compared to individual markers *** and PLR are promising markers for clinical *** models ought to incorporate established efficacious models and newly identified ones,thereby constituting a multifactor composite ***,efforts should be made to explore effective clinical application approaches that enhance the predictive accuracy and efficiency.

关键词： Neutrophil-to-lymphocyte ratio Platelet-to-lymphocyte ratio Immunecheckpoint inhibitor Immune-related adverse event

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Development of pharmacological immunoregulatory anticancer therapeutics:current mechanistic studies and clinical opportunities

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Signal Transduction and Targeted Therapy 2024年第6期9卷 2477-2526页

作者： Nanhao Yin Xintong Li Xuanwei Zhang Shaolong xue yu Cao Gabriele Niedermann You Lu Jianxin xue Division of Thoracic Tumor Multimodality Treatment Cancer Center&State Key Laboratory of Biotherapyand The National Clinical Research Center for GeriatricsWest China HospitalSichuan UniversityNo.37Guoxue LaneChengdu 610041 SichuanPR China Department of Gynecology and Obstetrics West China Second University HospitalSichuan UniversityNo.20Section 3South Renmin RoadChengdu 610041 SichuanPR China Department of Emergency Medicine Laboratory of Emergency MedicineWest China HospitalSichuan UniversityNo.37Guoxue LaneChengdu 610041 SichuanPR China Institute of Disaster Medicine&Institute of Emergency Medicine Sichuan UniversityNo.17Gaopeng AvenueChengdu 610041 SichuanPR China Department of Radiation Oncology Medical Center—University of FreiburgFaculty of MedicineUniversity of FreiburgGerman Cancer Consortium(DKTK)Partner Site DKTK-FreiburgRobert-Koch-Strasse 379106 FreiburgGermany Laboratory of Clinical Cell Therapy West China HospitalSichuan UniversityNo.2222Xinchuan RoadChengdu 610041 SichuanPR China

Immunotherapy represented by anti-PD-(L)1 and anti-CTLA-4 inhibitors has revolutionized cancer treatment,but challenges related to resistance and toxicity still *** to the advancement of immuno-oncology,an increasing number of novel immunoregulatory targets and mechanisms are being revealed,with relevant therapies promising to improve clinical immunotherapy in the foreseeable ***,comprehending the larger picture is *** this review,we analyze and summarize the current landscape of preclinical and translational mechanistic research,drug development,and clinical trials that brought about next-generation pharmacological immunoregulatory anti-cancer agents and drug candidates beyond classical immune checkpoint *** with further clarification of cancer immunobiology and advances in antibody engineering,agents targeting additional inhibitory immune checkpoints,including LAG-3,TIM-3,TIGIT,CD47,and B7 family members are becoming an important part of cancer immunotherapy research and discovery,as are structurally and functionally optimized novel anti-PD-(L)1 and anti-CTLA-4 agents and agonists of co-stimulatory molecules of T *** by bispecific T cell engagers,newly emerging bi-specific and multi-specific antibodies targeting immunoregulatory molecules can provide considerable clinical ***-generation agents also include immune epigenetic drugs and cytokine-based *** therapies,cancer vaccines,and oncolytic viruses are not covered in this *** comprehensive review might aid in further development and the fastest possible clinical adoption of effective immuno-oncology modalities for the benefit of patients.

关键词： clinical immuno landscape

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Effect of endometrial thickness on the risk of ectopic pregnancy for frozen embryo transfer

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Reproductive and Developmental Medicine 2024年第2期8卷 75-81页

作者： Li-Juan Huang Qu Zheng xue-jiao Wang Zhao-Hui Zhong Li-Juan Fu Xing-yu Lv Li-Hong Geng Xiao-Jun Tang yu-Bin Ding Qi Wan Department of Obstetrics and Gynecology Women and Children’s Hospital of Chongqing Medical UniversityChongqing 401147China School of Public Health Joint International Research Laboratory of Reproduction and Development of the Ministry of Education of ChinaChongqing 400016China The Reproductive Center Chengdu Xinan Gynecology HospitalChengdu 610011China School of Public Health Research Center for Medical and Social DevelopmentChongqing Medical UniversityChongqing 400016China Department of Pharmacology Academician WorkstationChangsha Medical UniversityChangsha 410119China Department of Obstetrics and Gynecology West China Second HospitalSichuan UniversityChengdu 610041China

Objective:Few studies have explored the suitability of endometrial thickness(EMT)as a predictor of ectopic pregnancy(EP)in frozen embryo transfer(FET)*** study aimed to investigate the association between EMT and EP and explore the cutoff value of EMT to predict ***:This retrospective cohort study included women aged 20-45 years undergoing FET between March 2015 and September *** primary outcomes and measured variables were EP and EMT,*** threshold effect of EMT on EP was calculated based on a constructed smooth curve *** patients were divided into two groups based on the threshold for comparison.A subgroup analysis was conducted to examine whether the relationship between EMT and EP remained consistent across the different ***,a generalized linear model was used to analyze the interactions between the treatment factors and EMT in ***:In total,27,549 FET cycles were included,with 27,086 intrauterine and 463 ectopic *** risk of EP in the EMT≤8.7 mm group was 3.36 times higher than that in the EMT>8.7 mm group(odds ratio[OR]:3.36,95%confidence interval[CI]:2.57-4.05).Subgroup analysis further indicated that a thin EMT was a risk factor for EP,independent of other *** also noted that diminished ovarian reserve,tubal factor infertility,transfer of two embryos,or transfer of cleavage-stage embryos may further enhance the risk of EP in patients with thin ***:Thin endometrium was associated with an increased risk of *** with EMT less than 8.7 mm need close medical observation and management after embryo *** addition,diminished ovarian reserve,tubal factor infertility,transfer of two embryos,or transfer of cleavage-stage embryos may significantly enhance the effect of a thin endometrium on the risk of EP.

关键词： Endometrial thickness Thin endometrium Ectopic pregnancy FET cycle Risk factors

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Evidence-Based Dampness-Heat ZHENG(Syndrome) in Cancer: Current Progress toward Establishing Relevant Animal Model with Pancreatic Tumor

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Chinese Journal of Integrative Medicine 2024年第1期30卷 85-95页

作者： jiao Ju-ying CHENG Chien-shan CAO Zhang-qi CHEN Lian-yu CHEN Zhen Department of Integrative Oncology Fudan University Shanghai Cancer CenterShanghai(200032)China Department of Oncology Shanghai Medical CollegeFudan UniversityShanghai(200032)China

Cancer is one of the deadliest diseases affecting the health of human beings. With limited therapeutic options available, complementary and alternative medicine has been widely adopted in cancer management and is increasingly becoming accepted by both patients and healthcare workers alike. Chinese medicine characterized by its unique diagnostic and treatment system is the most widely applied complementary and alternative medicine. It emphasizes symptoms and ZHENG(syndrome)-based treatment combined with contemporary disease diagnosis and further stratifies patients into individualized medicine subgroups. As a representative cancer with the highest degree of malignancy, pancreatic cancer is traditionally classified into the "amassment and accumulation". Emerging perspectives define the core pathogenesis of pancreatic cancer as "dampness-heat" and the respective treatment "clearing heat and resolving dampness" has been demonstrated to prolong survival in pancreatic cancer patients, as has been observed in many other cancers. This clinical advantage encourages an exploration of the essence of dampness-heat ZHENG(DHZ) in cancer and investigation into underlying mechanisms of action of herbal formulations against dampness-heat. However, at present, there is a lack of understanding of the molecular characteristics of DHZ in cancer and no standardized and widely accepted animal model to study this core syndrome in vivo. The shortage of animal models limits the ability to uncover the antitumor mechanisms of herbal medicines and to assess the safety profile of the natural products derived from them. This review summarizes the current research on DHZ in cancer in terms of the clinical aspects, molecular landscape, and animal models. This study aims to provide comprehensive insight that can be used for the establishment of a future standardized ZHENG-based cancer animal model.

关键词： cancer Chinese medicine syndrome ZHENG dampness-heat syndrome animal model pancreatic tumor evaluation methods

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Unveiling the evolutionary dynamics of microR NA-targeted plant laccase genes

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Science China Life Sciences 2024年

作者： Rui-Rui He Meng-Qi Lei Yan-Zhao Feng jiao xue yu-Chan Zhang yue-Qin Chen Yang yu Guangdong Provincial Key Laboratory of Plant Stress Biology State Key Laboratory for Biocontrol School of Life Science Sun Yat-Sen University Guangdong Key Laboratory of Crop Germplasm Resources Preservation and Utilization Agro-biological Gene Research Center Guangdong Academy of Agricultural Sciences

Dear Editor,MicroRNAs (miRNAs) are small noncoding RNA molecules that play crucial roles in the regulation of gene *** have been extensively studied in various organisms, including plants,where they have been found to be involved in diverse biological processes,such as development, growth, and response to environmental stresses. Plant miRNAs achieve their regulatory functions by binding to the m RNA of target genes and modulating their expression levels.

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Photocatalytic vinyl radical-mediated multicomponent 1,4-/1,8-carboimination across alkynes and olefins/(hetero)arenes

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Science China Chemistry 2024年第2期67卷 558-567页

作者： Shan-Shan Li yu-Shi Jiang xue-Ling Luo Xuming Ran yuqiang Li Dong Wu Cheng-xue Pan Peng-Ju Xia School of Chemistry and Pharmaceutical Sciences Guangxi Normal UniversityGuilin541004China Shanghai Artificial Intelligence Laboratory Shanghai200433China The Institute for Advanced Studies Wuhan UniversityWuhan430064China

We developed a highly selective and efficient multicomponent transformation by utilizing alkynes and olefins/(hetero)arenes through photoinduced energy-transfer *** reaction involves the formation of three distinct chemical bonds,namely C(sp~3)–C(sp~2),C(sp~2)–C(sp~3),and C(sp~3)–N,in a single coordinated *** strategy used a vinyl radical-mediated radical relay approach under mild conditions,exhibiting a broad substrate scope(>70 examples),excellent functional-group tolerance,and remarkable regio-and *** the utilization of a combination of experimental techniques and density functional theory(DFT),we delved deeper into the mechanistic intricacies of this distinctive *** revealed that the selective radical addition to electron-deficient alkynes,rather than olefins,was governed by the inherent reactivity of alkyl *** discovery presented a highly effective approach for the synthesis of stereodefined multisubstituted alkenes.

关键词： alkyne-olefin coupling DFT studies regio-and anti-stereoselectivity multisubstituted alkenes

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Improved Scatter Search Algorithm for Multi-skilled Personnel Scheduling of Ship Block Painting

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Journal of Harbin Institute of Technology(New Series) 2024年第1期31卷 1-15页

作者： Guanglei jiao Zuhua Jiang Jianmin Niu Wenjuan yu Department of Industrial Engineering and Management Shanghai Jiao Tong UniversityShanghai 200240China Shanghai Ship Technology Research Institute Shanghai 200032China

This paper focuses on the optimization method for multi-skilled painting personnel *** budget working time analysis is carried out considering the influence of operating area,difficulty of spraying area,multi-skilled workers,and worker’s efficiency,then a mathematical model is established to minimize the completion time. The constraints of task priority,paint preparation,pump management,and neighbor avoidance in the ship block painting production are considered. Based on this model,an improved scatter search(ISS)algorithm is designed,and the hybrid approximate dynamic programming(ADP)algorithm is used to improve search efficiency. In addition,the two solution combination methods of path-relinking and task sequence combination are used to enhance the search breadth and depth. The numerical experimental results show that ISS has a significant advantage in solving efficiency compared with the solver in small scale instances;Compared with the scatter search algorithm and genetic algorithm,ISS can stably improve the solution quality. Verified by the production example,ISS effectively shortens the total completion time of the production,which is suitable for scheduling problems in the actual painting production of the shipyard.

关键词： ship painting personnel scheduling multi⁃skilled workers scatter search task constraints

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