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Hydrothermal carbonization pretreatment makes a remarkable difference in activation of rice and lettuce in food waste

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Green Chemical Engineering 2024年第3期5卷 348-363页

作者： lijun Zhang Yifan Sun chao li Shu Zhang Mortaza Gholizadeh Xun Hu School of Material Science and Engineering University of JinanJinan250022China Joint International Research Laboratory of Biomass Energy and Materials College of Materials Science and EngineeringNanjing Forestry UniversityNanjing210037China Faculty of Chemical and Petroleum Engineering University of TabrizTabrizIran

Cooked rice and the vegetables like lettuce are common kitchen waste,which are carbonaceous materials and have the potential as feedstock for the production of activated *** is similar to hydrothermal treatment(HTC),which might impact the subsequent activation of kitchen *** this study,the HTC of lettuce,rice,or their mixture and the activation of the resulting hydrochars were *** results indicated that cross-polymerization between the N-containing organics from lettuce and the sugar derivatives from rice took place in their co-HTC,which significantly increased the hydrochar *** of the hydrochar from the coHTC generated the AC with a yield of 2 times that from direct activation of mixed lettuce/***,the coHTC facilitated aromatization,reducing reactivity with K2C2O4in activation and producing the AC with main micropores and low specific surface *** of the hydrochar from HTC of rice followed the above trend,while that from lettuce was the *** organics in lettuce were thermally unstable and could not undergo sufficient *** activation of hydrochar from HTC of lettuce thus generated the AC with the lowest yield,but the highest specific surface area(1684.9 m2/g),abundant mesopores,and superior capability for adsorption of ***,the environmental impacts and energy consumption for the production of AC from the hydrochar of lettuce were higher than that from hydrochar of co-HTC.

关键词： Food waste Hydrothermal pretreatment Hydrochar Chemical activation Products properties

Three-dimensional electrically conductive–hydrophobic layer for stable Zn metal anodes

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SusMat 2024年第3期4卷 164-174页

作者： Yang mei Jiahui Zhou Botao Zhang li li Feng Wu Yongxin Huang Renjie Chen Beijing Key Laboratory of Environmental Science and Engineering School of Material Science&EngineeringBeijing Institute of TechnologyBeijingChina Advanced Technology Research Institute(Jinan) Beijing Institute of TechnologyJinanChina Collaborative Innovation Center of Electric Vehicles Beijing Institute of TechnologyBeijingChina

The interrelated side reactions and dendrites growth severely destabilize the electrode/electrolyte interfaces,resulting in the difficult application of aqueous Zn ion batteries(AZIBs).Hydrophobic protective layer possesses natural inhibition ability for side ***,the conventional protective layer with plane structure is difficult to attain joint regulation of side reaction and Zn ***,a novel three-dimensional(3D)electrically conductive and hydrophobic(3DECH)interface is elaborated to enable stable Zn *** as-prepared 3DECHinterface presents a uniform 3Dmorphologywith hydrophobic property,large specific surface area,abundant zincophilic sites,and excellent ***,the 3DECH interface achieves uniform nucleation and dendrite-free deposition from synergetic benefits:(1)increased nucleation sites and reduced local current density through the special 3D structure and(2)uniform electric potential distribution and rapid Zn^(2+)transport due to the electroconductive alloy chemistry,thus coupling the hydrophobic property to obtain a highly reversible Zn ***,the modified anode achieves a superior coulombic efficiency of 99.88%over 3500 cycles,and the pouch cells using modified anode and liMn_(2)O_(4)(LMO)cathode retain a capacity of 84 mAh g^(−1)after 700 cycles at a reasonable depth discharge of 36%,without dendrite piercing and“dead Zn.”

关键词： electroconductive layer flat deposition hydrophobic layer three-dimensional surface zincmetal anode

Integrated biomarker response to assess toxic impacts of iron and manganese on deep-sea mussel Gigantidas platifrons under a deep-sea mining activity scenario

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Journal of Oceanology and limnology 2024年第2期42卷 522-532页

作者： li ZHOU Mengna li Zhaoshan ZHONG Minxiao WANG Hao CHEN chao liAN Hao WANG Huan ZHANG Lei CAO chaolun li Center of Deep Sea Research Institute of OceanologyChinese Academy of SciencesQingdao 266071China Laoshan Laboratory Qingdao 266237China South China Sea Institute of Oceanology Chinese Academy of SciencesGuangzhou 510301China CAS Key Laboratory of Marine Ecology and Environmental Sciences Institute of OceanologyChinese Academy of SciencesQingdao 266071China University of Chinese Academy of Sciences Beijing 100049China

Deep-sea mining activities can potentially release metals,which pose a toxicological threat to deep-sea ***,due to the remoteness and inaccessibility of the deep-sea biosphere,there is insufficient knowledge about the impact of metal exposure on its *** this study,deep-sea mussel Gigantidas platifrons,a commonly used deep-sea toxicology model organism,was exposed to manganese(100,1000μg/L)or iron(500,5000μg/L)for 7 d,*** and iron were chosen for their high levels of occurrence within deep-sea *** accumulation and a battery of biochemical biomarkers related to antioxidative stress in superoxide dismutase(SOD),catalase(CAT),malondialdehyde(MDA);immune function in alkaline phosphatase(AKP),acid phosphatase(ACP);and energy metabolism in pyruvate kinase(PK)and hexokinase(HK)were assessed in mussel *** showed that deep-sea mussel *** exhibited a high capacity to accumulate Mn/*** addition,most tested biochemical parameters were altered by metal exposure,demonstrating that metals could induce oxidative stress,suppress the immune system,and affect energy metabolism of deep-sea *** integrated biomarker response(IBR)approach indicated that the exposure to Mn/Fe had a negative impact on deep-sea mussels,and Mn demonstrated a more harmful impact on deep-sea mussels than ***,SOD and CAT biomarkers had the greatest impact on IBR values in Mn treatments,while ACP and HK were most influential for the low-and high-dose Fe groups,*** study represents the first application of the IBR approach to evaluate the toxicity of metals on deep-sea fauna and serves as a crucial framework for risk assessment of deep-sea mining-associated metal exposure.

关键词： mussel metal deep-sea mining biomarker environmental monitoring

Combined effects of climate and land-use changes on the alpha and beta functional diversities of terrestrial mammals in China

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Science China(life Sciences) 2024年第10期67卷 2224-2233页

作者： chao Zhang Yumei li Wei Wang Zexuan Gao Hanqing liu Yonggang Nie Key Laboratory of Animal Ecology and Conservation Biology Institute of ZoologyChinese Academy of SciencesBeijing 100101China College of life Sciences Hebei UniversityBaoding 071002China University of Chinese Academy of Sciences Beijing 100049China

Climate and land-use changes are predicted to impact biodiversity,threatening ecosystem services and ***,their combined effects on the functional diversity of mammals at the regional scale remain unclear,especially at the beta ***,we use projected climate and land-use changes in China to investigate their potential effects on the alpha and beta functional diversities of terrestrial mammals under low-and high-emission *** the current projection,we showed strong positive spatial correlations between functional richness and species *** evenness(FEve),functional specialization(FSpe),and functional originality(FOri)decreased with species richness,and functional divergence(FDiv)increased first and then *** beta diversity was dominated by its nestedness component,in contrast to the taxonomic *** changes in species richness are more strongly influenced by land-use change under the low-emission scenario,while under the high-emission scenario,they are more strongly influenced by climate *** in functional richness(FRic)were inconsistent with those in species richness,with a magnitude of decreases greater than predicted from species ***,mammal assemblages showed potential functional differentiation(FD)across the country,and the trends exceeded those towards taxonomic differentiation(TD).Our findings help us understand the processes underlying biodiversity responses to global changes on multiple facets and provide new insight for conservation plans.

关键词： climate change land-use change functional diversity terrestrial mammals biodiversity conservation

A Cloud-Fog Enabled and Privacy-Preserving IoT Data Market Platform Based on Blockchain

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Computer Modeling in Engineering & Sciences 2024年第5期139卷 2237-2260页

作者： Yurong Luo Wei You chao Shang Xiongpeng Ren Jin Cao Hui li School of Cyber Engineering State Key Laboratory of Integrated Service NetworkXidian UniversityXi’an710126China

The dynamic landscape of the Internet of Things(IoT)is set to revolutionize the pace of interaction among entities,ushering in a proliferation of applications characterized by heightened quality and *** the pivotal applications within the realm of IoT,as a significant example,the Smart Grid(SG)evolves into intricate networks of energy deployment marked by data *** evolution concurrently entails data interchange with other IoT ***,there are also several challenges including data-sharing overheads and the intricate establishment of trusted centers in the IoT *** this paper,we introduce a hierarchical secure data-sharing platform empowered by cloud-fog ***,we propose a novel non-interactive zero-knowledge proof-based group authentication and key agreement protocol that supports one-to-many sharing sets of IoT data,especially SG *** security formal verification tool shows that the proposed scheme can achieve mutual authentication and secure data sharing while protecting the privacy of data *** with previous IoT data sharing schemes,the proposed scheme has advantages in both computational and transmission efficiency,and has more superiority with the increasing volume of shared data or increasing number of participants.

关键词： IoT data sharing zero-knowledge proof authentication privacy preserving blockchain

Engineering design and numerical design for chemical looping combustion reactor: A review

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Energy Reviews 2024年第3期3卷 129-150页

作者： Xi Chen Rongchao li Ye Tao Yongqi Tong Ao li Daofeng mei Haibo Zhao State Key Laboratory of Coal Combustion School of Energy and Power EngineeringHuazhong University of Science and TechnologyWuhan430074China Instituto de Carboquímica(ICB-CSIC) Miguel Luesma Castan450018ZaragozaSpain

Chemical looping combustion(CLC)has emerged as a cost-effective technology for carbon capture at the combustion *** reactor,being central to the implementation of CLC,primarily adheres to two technological pathways:the dual fluidized bed reactor and the packed bed ***,the intricate interaction between gas-solid reaction flow and heat/mass transfer processes in these reactors gives rise to diverse operational principles at both macroscopic and microscopic levels across various reactor forms and scales,making performance prediction ***,the rational design of CLC reactors poses a significant challenge in advancing this technology to commercial *** article offers an extensive review of the prevailing reactor designs in CLC,delving into reactor characteristics,pivotal aspects of the design process,methodologies,and representative studies in the *** predominant reactor design approaches are categorized into engineering and numerical *** former encompasses phenomenological and similarity analysis methods,whereas the latter consists of macroscopic and computational fluid dynamics simulation *** method possesses its theoretical framework,distinctive characteristics,appropriate applications,and respective advantages and *** practical applications,integrating these aspects is *** instance,the engineering design,which is less costly but also less precise,is effective for quickly screening numerous potential design *** contrast,the numerical design,despite its higher computational demand and greater model complexity,offers improved predictive accuracy and is optimal for validating and refining engineering design solutions.

关键词： Carbon capture Chemical looping combustion Reactor design Engineering design Numerical design

Biomimetic 3D printing of composite structures with decreased cracking

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Nanotechnology and Precision Engineering 2024年第3期7卷 24-34页

作者： Fan Du Kai li Mingzhen li Junyang Fang Long Sun chao Wang Yexin Wang Maiqi liu Jinbang li Xiaoying Wang School of Mechanical Engineering and Mechanics Ningbo UniversityNingbo 315211China School of Mechanical and Electrical Engineering China University of Mining and TechnologyXuzhou 221116China Institute of Advanced Energy Storage Technology and Equipment Ningbo UniversityNingbo 315211China School of Civil and Environmental Engineering and Geography Science Ningbo UniversityNingbo 315211China

The development of tissue engineering and regeneration research has created new platforms for bone ***,the preparation of scaffolds with good fiber integrity is challenging,because scaffolds prepared by traditional printing methods are prone to fiber cracking during solvent *** skin has an excellent natural heat-management system,which helps to maintain a constant body temperature through perspiration or blood-vessel *** this work,an electrohydrodynamic-jet 3D-printing method inspired by the thermal-management system of skin was *** this system,the evaporation of solvent in the printed fibers can be adjusted using the temperature-change rate of the substrate to prepare 3D structures with good structural *** investigate the solvent evaporation and the interlayer bonding of the fibers,finite-element analysis simulations of a three-layer microscale structure were carried *** results show that the solvent-evaporation path is from bottom to top,and the strain in the printed structure becomes smaller with a smaller temperaturechange *** results verified the accuracy of these simulation results,and a variety of complex 3D structures with high aspect ratios were *** cracks were reduced to the nanoscale by adjusting the temperature-change rate from 2.5 to 0.5℃*** process parameters were selected to prepare a tissue engineering scaffold with high *** was confirmed that this printed scaffold had good biocompatibility and could be used for bone-tissue *** simple and flexible 3D-printing method can also help with the preparation of a wide range of micro-and nanostructured sensors and actuators.

关键词： 3D printing Electrohydrodynamic jet Biomimetic Structural integrity Composite scaffold

Anti-metabolic agent pegaspargase plus PD-1 antibody sintilimab for first-line treatment in advanced natural killer T cell lymphoma

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Signal Transduction and Targeted Therapy 2024年第4期9卷 1665-1674页

作者： Jie Xiong Shu Cheng Xiao Gao Shan-He Yu Yu-Ting Dai Xin-Yun Huang Hui-Juan Zhong chao-Fu Wang Hong-mei Yi Hao Zhang Wei-Guo Cao Rong li Wei Tang Yan Zhao Peng-Peng Xu li Wang Wei-li Zhao Shanghai Institute of Hematology State Key Laboratory of Medical GenomicsNational Research Center for Translational Medicine at ShanghaiRuijin Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghaiChina Department of Nuclear Medicine Shanghai Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina Department of Pathology Shanghai Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina Department of Otolaryngology Shanghai Rujin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina Department of Radiation Shanghai Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina Department of Hematology Navy Medical Center of PLAShanghaiChina Pole de Recherches Sino-Francais en Science du Vivant et Genomique Laboratory of Molecular PathologyShanghaiChina

Natural killer T cell lymphoma(NKTCL)is highly aggressive,with advanced stage patients poorly responding to intensive *** explore effective and safe treatment for newly diagnosed advanced stage NKTCL,we conducted a phase ll study of anti-metabolic agent pegaspargase plus PD-1 antibody sintilimab(NCT04096690).Twenty-two patients with a median age of 51 years(range,24-74)were enrolled and treated with induction treatment of pegaspargase 2500 IU/m2 intramuscularly on day 1 and sintilimab 200 mg intravenously on day 2 for 6 cycles of 21 days,followed by maintenance treatment of sintilimab 200 mg for 28 cycles of 21 *** complete response and overall response rate after induction treatment were 59%(95%Cl,43-79%)and 68%(95%Cl,47-84%),*** a median follow-up of 30 months,the 2 year progression-free and overall survival rates were 68%(95%Cl,45-83%)and 86%(95%Cl,63-95%),*** most frequently grade 3/4 adverse events were neutropenia(32%,n=7)and hypofibrinogenemia(18%,n=4),which were manageable and led to no discontinuation of *** proportion score of PD-L1,peripheral blood high-density lipoprotein cholesterol,and apolipoprotein A-l correlated with good response,while PD-1 on tumor infiltrating lymphocytes and peripheral Treg cells with poor response to pegaspargase plus sintilimab *** conclusion,the chemo-free regimen pegaspargase plus sintilimab was effective and safe in newly diagnosed,advanced stage *** lipid profle and immunosuppressive signature contributed to treatment resistance,providing an alternative therapeutic approach dual targeting fatty acid metabolism and CTLA-4 in NKTCL.

关键词： killer metabolism lymphoma

Physics-informed deep learning for fringe pattern analysis

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Opto-Electronic Advances 2024年第1期7卷 4-15页

作者： Wei Yin Yuxuan Che Xinsheng li Mingyu li Yan Hu Shijie Feng Edmund Y.Lam Qian Chen chao Zuo Smart Computational Imaging Laboratory(SCILab) School of Electronic and Optical EngineeringNanjing University of Science and TechnologyNanjing 210094China Smart Computational Imaging Research Institute(SCIRI)of Nanjing University of Science and Technology Nanjing 210019China Jiangsu Key Laboratory of Spectral Imaging&Intelligent Sense Nanjing 210094China Department of Electrical and Electronic Engineering The University of Hong KongPokfulamHong Kong SAR 999077China

Recently,deep learning has yielded transformative success across optics and photonics,especially in optical *** neural networks (DNNs) with a fully convolutional architecture (e.g.,U-Net and its derivatives) have been widely implemented in an end-to-end manner to accomplish various optical metrology tasks,such as fringe denoising,phase unwrapping,and fringe ***,the task of training a DNN to accurately identify an image-to-image transform from massive input and output data pairs seems at best naive,as the physical laws governing the image formation or other domain expertise pertaining to the measurement have not yet been fully exploited in current deep learning *** this end,we introduce a physics-informed deep learning method for fringe pattern analysis (PI-FPA) to overcome this limit by integrating a lightweight DNN with a learning-enhanced Fourier transform profilometry (Le FTP) *** parameterizing conventional phase retrieval methods,the Le FTP module embeds the prior knowledge in the network structure and the loss function to directly provide reliable phase results for new types of samples,while circumventing the requirement of collecting a large amount of high-quality data in supervised learning *** by the initial phase from Le FTP,the phase recovery ability of the lightweight DNN is enhanced to further improve the phase accuracy at a low computational cost compared with existing end-to-end *** results demonstrate that PI-FPA enables more accurate and computationally efficient single-shot phase retrieval,exhibiting its excellent generalization to various unseen objects during *** proposed PI-FPA presents that challenging issues in optical metrology can be potentially overcome through the synergy of physics-priors-based traditional tools and data-driven learning approaches,opening new avenues to achieve fast and accurate single-shot 3D imaging.

关键词： optical metrology deep learning physics-informed neural networks fringe analysis phase retrieval