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The computerized LASSI-BC Test versus the Standard LASSI-L Paper-and-Pencil Version in Community-Based-Samples

Advances in Alzheimer's Disease 2024年第1期13卷 11-25页

作者： Rosie E. Curiel Cid Alexandra Ortega Ubbo Visser Marcela Kitaigorodsky D. Diane Zheng Diana Hincapie Kirsten Horne Crenshaw Ashleigh Beaulieu Brooke Bosworth Liz Gallardo Emory Neer Sofia Ramirez Elizabeth A. Crocco Mike Georgiou Efrosyni Sfakianaki David A. Loewenstein Center for Cognitive Neuroscience and Aging and Department of Psychiatry and Behavioral Sciences Miller School of Medicine University of Miami Miami FL USA Department of Computer Sciences University of Miami Coral Gables FL USA Nova Southeastern university Fort Lauderdale FL USA Department of Radiology and Nuclear medicine Miller School of Medicine University of Miami Miami FL USA

Proactive Semantic Interference (PSI) and failure to recover from PSI (frPSI), are novel constructs assessed by the LASSI-L. These measures are sensitive to cognitive changes in early Mild Cognitive Impairment (MCI) and preclinical AD determined by Aβ load using PET. The goal of this study was to compare a new computerized version of the LASSI-L (LASSI-Brief Computerized) to the standard paper-and-pencil version of the test. In this study, we examined 110 cognitively unimpaired (CU) older adults and 79 with amnestic MCI (aMCI) who were administered the paper-and-pencil form of the LASSI-L. Their performance was compared with 62 CU older adults and 52 aMCI participants examined using the LASSI-BC. After adjustment for covariates (degree of initial learning, sex, education, and language of evaluation) both the standard and computerized versions distinguished between aMCI and CU participants. The performance of CU and aMCI groups using either form was relatively commensurate. Importantly, an optimal combination of Cued B2 recall and Cued B1 intrusions on the LASSI-BC yielded an area under the ROC curve of .927, a sensitivity of 92.3% and specificity of 88.1%, relative to an area under the ROC curve of .815, a sensitivity of 72.5%, and a specificity of 79.1% obtained for the paper-and-pencil LASSI-L. Overall, the LASSI-BC was comparable, and in some ways, superior to the paper-and-pencil LASSI-L. Advantages of the LASSI-BC include a more standardized administration, suitability for remote assessment, and an automated scoring mechanism that can be verified by a built-in audio recording of responses.

关键词： Mild Cognitive Impairment Proactive Semantic Interference LASSI-L Computerized Cognitive Assessment

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Reinforcement Learning-Based Dynamic Order Recommendation for On-Demand Food Delivery

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Tsinghua Science and Technology 2024年第2期29卷 356-367页

作者： Xing Wang Ling Wang Chenxin Dong Hao Ren Ke Xing Department of Automation Tsinghua UniversityBeijing 100080China school of Mechanical and Automotive Engineering Qingdao Hengxing University of Science and TechnologyQingdao 266100China Meituan Beijing 100015China

On-demand food delivery(OFD)is gaining more and more popularity in modern *** a kernel order assignment manner in OFD scenario,order recommendation directly influences the delivery efficiency of the platform and the delivery experience of *** paper addresses the dynamism of the order recommendation problem and proposes a reinforcement learning solution *** actor-critic network based on long short term memory(LSTM)unit is designed to deal with the order-grabbing conflict between different ***,three rider sequencing rules are accordingly proposed to match different time steps of the LSTM unit with different *** test the performance of the proposed method,extensive experiments are conducted based on real data from Meituan delivery *** results demonstrate that the proposed reinforcement learning based order recommendation method can significantly increase the number of grabbed orders and reduce the number of order-grabbing conflicts,resulting in better delivery efficiency and experience for the platform and riders.

关键词： on-demand food delivery order recommendation reinforcement learning actor-critic network long short term memory

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Electrochemically recycling degraded superalloy and valorizing CO_(2)in the aff ordable borate-modified molten electrolyte

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Tungsten 2024年第2期6卷 382-393页

作者： Xiang Chen Yuan Sun Long Wang Xin Qu Yan Zhao Hong-Wei Xie Di-Hua Wang Hua-Yi Yin Key Laboratory for Ecological Metallurgy of Multimetallic Mineral of Ministry of Education School of MetallurgyNortheastern UniversityShenyang 110819China Institute of Metal Research Chinese Academy of ScienceShenyang 110016China school of Resource and Environmental Science Wuhan UniversityWuhan 430072China

Integrating electrochemical reduction of CO_(2)and electrochemical oxidation to recycle degraded superalloys is a promising solution to ease resource scarcity and safeguard environmental ***,we propose an electrochemical technique for the conversion of bulk superalloy scraps and CO_(2)into oxide powder at the anode and solid carbon at the cathode,*** particular,a borax-modifi ed CaCl_(2)-based molten salt electrolyte is used for enhancing the electrochemical oxidation of superalloy *** a temperature of 700℃and a voltage of 2.8 V,90.55 wt.%of alloy scraps were oxidized in a molten CaCl_(2)–NaCl–CaCO_(3)–Na_(2)B_(4)O_(7)with an acid–base ratio(K_(a/b))of *** synergy of Cl−and B_(4)O_(7)2−of electrolyte prevents the passivation of the alloy anode and enables continuous ***,the Ni and Co in the anode products are recovered by sulfation roasting with recovery efficiencies of 85.58%and 95.27%for Ni and Co,***,modulating the alkalinity of the electrolyte for enhancing oxidation/pulverization of alloy scrap anode provides new insight into electrochemically recovering superalloy scraps.

关键词： Superalloy scraps Recycling Molten salt Alkalinity Electrochemical oxidation Cobalt

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Perpendicular-Cutdepth:Perpendicular Direction Depth Cutting Data Augmentation Method

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Computers, Materials & Continua 2024年第4期79卷 927-941页

作者： Le Zou Linsong Hu Yifan Wang Zhize Wu Xiaofeng Wang Anhui Provincial Engineering Laboratory of Big Data Technology Application forUrban Infrastructure School ofArtificial Intelligence and Big DataHefei UniversityHefei230601China Institute of Applied Optimization School of Artificial Intelligence and Big DataHefei UniversityHefei230601China

Depth estimation is an important task in computer *** data at scale for monocular depth estimation is challenging,as this task requires simultaneously capturing RGB images and depth ***,data augmentation is crucial for this *** data augmentationmethods often employ pixel-wise transformations,whichmay inadvertently disrupt edge *** this paper,we propose a data augmentationmethod formonocular depth estimation,which we refer to as the Perpendicular-Cutdepth *** method involves cutting realworld depth maps along perpendicular directions and pasting them onto input images,thereby diversifying the data without compromising edge *** validate the effectiveness of the algorithm,we compared it with existing convolutional neural network(CNN)against the current mainstream data augmentation ***,to verify the algorithm’s applicability to Transformer networks,we designed an encoder-decoder network structure based on Transformer to assess the generalization of our proposed *** results demonstrate that,in the field of monocular depth estimation,our proposed method,Perpendicular-Cutdepth,outperforms traditional data *** the indoor dataset NYU,our method increases accuracy from0.900 to 0.907 and reduces the error rate from0.357 to *** the outdoor dataset KITTI,our method improves accuracy from 0.9638 to 0.9642 and decreases the error rate from 0.060 to 0.0598.

关键词： Perpendicular depth estimation data augmentation

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Optimization of biofuel supply chain integrated with petroleum refineries under carbon trade policy

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Frontiers of Chemical Science and Engineering 2024年第3期18卷 113-122页

作者： Wenhui Zhang Yiqing Luo Xigang Yuan Chemical Engineering Research Center School of Chemical Engineering and TechnologyTianjin UniversityTianjin300350China State Key Laboratory of Chemical Engineering Tianjin UniversityTianjin300350China

The use of fossil fuels results in significant carbon dioxide *** have been increasingly adopted as sustainable alternatives to fossil fuel to address this environmental *** petroleum refineries into biofuel supply chains is an effective approach to mitigating greenhouse gas emissions and improving environmental *** this study,an integrated supply chain optimization framework was established,considering the carbon trade *** addition,a mixed-integer nonlinear programming model was developed to optimize the selection of biomass suppliers,construction of pretreatment plants and biorefineries,integration of petroleum refineries,and selection of transportation routes with the objective of minimizing the total annual *** example is presented to illustrate the applicability of the *** optimization results show that integrating petroleum refineries into biofuel supply chains effectively mitigates carbon *** trade policies can have a direct impact on the total annual cost and carbon emissions of the supply chain.

关键词： renewable energy biofuel supply chain carbon trade policy

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Repurposing disulfiram with CuET nanocrystals:Enhancing anti-pyroptotic effect through NLRP3 inflammasome inhibition for treating inflammatory bowel diseases

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Acta Pharmaceutica Sinica B 2024年第6期14卷 2698-2715页

作者： Xueming Xu Yuanfeng Han Jiali Deng Shengfeng Wang Shijie Zhuo Kai Zhao Wenhu Zhou Hematology and Department of Critical Care medicine The Third Xiangya HospitalCentral South UniversityChangsha 410013China Xiangya school of Pharmaceutical Sciences Central South UniversityChangsha 410013China Hunan Chidren's Hospital Changsha 410007China Department of Pharmacy The Third Xiangya HospitalCentral South UniversityChangsha 410013China Key Laboratory of Biological Nanotechnology of National Health Commission Changsha 410008China

Drug repurposing offers a valuable strategy for identifying new therapeutic applications for existing ***,disulfiram(DSF),a drug primarily used for alcohol addiction treatment,has emerged as a potential treatment for inflammatory diseases by inhibiting pyroptosis,a form of programmed cell *** therapeutic activity of DSF can be further enhanced by the presence of Cu^(2+),although the underlying mechanism of this enhancement remains *** this study,we investigated the mechanistic basis of Cu^(2+)-induced enhancement and discovered that it is attributed to the formation of a novel copper ethylthiocarbamate(CuET)*** exhibited significantly stronger anti-pyroptotic activity compared to DSF and employed a distinct mechanism of ***,despite its potent activity,CuET suffered from poor solubility and limited permeability,as revealed by our druggability *** overcome these intrinsic limitations,we developed a scalable method to prepare CuET nanocrystals(CuET NCs)using a metal coordination-driven self-assembly *** studies demonstrated that CuET NCs exhibited a 6-fold improvement in ***,CuET NCs exhibited high biodistribution in the intestine,suggesting their potential application for the treatment of inflammatory bowel diseases(IBDs).To evaluate their therapeutic efficacy in vivo,we employed a murine model of DSS-induced colitis and observed that CuET NCs effectively attenuated inflammation and ameliorated colitis *** findings highlight the discovery of CuET as a potent anti-pyroptotic agent,and the development of CuET NCs represents a novel approach to enhance the druggability of CuET.

关键词： Drug repurposing Pyroptosis Nanoparticles Bioavailability Disulfiram DSS-induced colitis NLRP3 inflammasome CuET

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Eugenol targeting CrtM inhibits the biosynthesis of staphyloxanthin in Staphylococcus aureus

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Food Science and Human Wellness 2024年第3期13卷 1368-1377页

作者： Jiang Chang Bo Chen Zeqian Du Bowen Zhao Jiahui Li Ziyi Li Kannappan Arunachalam Ting Shi Dongqing Wei Chunlei Shi MOST-USDA Joint Research Center for Food Safety School of Agriculture and BiologyState Key Laboratory of Microbial MetabolismShanghai Jiao Tong UniversityShanghai 200240China school of Life Sciences and Biotechnology Shanghai Jiao Tong UniversityShanghai 200240China

Staphylococcus aureus is a serious foodborne pathogen threatening food safety and public *** the emergence of methicillin-resistant Staphylococcus aureus(MRSA)increased the difficulty of *** *** is a crucial virulence factor of *** staphyloxanthin production could help the host immune system counteract the invading *** *** this study,we first screened for staphyloxanthin inhibitors using a virtual screening *** outcome of the virtual screening method resulted in the identification of eugenol(300μg/mL),which significantly inhibits the staphyloxanthin production in *** ATCC 29213,*** Newman,MRSA ATCC 43300 and MRSA ATCC BAA1717by 84.2%,63.5%,68.1%,and 79.5%,*** outcome of the growth curve assay,field-emission scanning electron,and confocal laser scanning microscopy analyses confirmed that eugenol at the test concentration did not affect the morphology and growth of ***,the survival rate of *** ATCC 29213 and MRSA ATCC 43300 under H_(2)O_(2) pressure decreased to 51.9%and 45.5%in the presence of eugenol,*** quantitative RT-PCR and molecular simulation studies revealed that eugenol targets staphyloxanthin biosynthesis by downregulating the transcription of the crtM gene and inhibiting the activity of the CrtM *** together,we first determined that eugenol was a prominent compound for staphyloxanthin inhibitor to combat *** especially MRSA infections.

关键词： Staphylococcus aureus Staphyloxanthin Eugenol Virtual screening 4 4’-Diapophytoene synthase(CrtM)

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Research Progress in the Fabrication of Covalent Organic Framework Membranes for Chemical Separations

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Chinese Journal of Polymer Science 2024年第2期42卷 141-158,I0005页

作者： Cui-Ting Ding Jin-Qiu Yuan Meng-Ying Xie Qing-Yuan Liu Zeng-Guang Yao Shi-Yu Zhang Run-Nan Zhang Hong Wu Zhong-Yi Jiang Key Laboratory for Green Chemical Technology of Ministry of Education School of Chemical Engineering and TechnologyTianjin UniversityTianjin300072China Zhejiang Institute of Tianjin university NingboZhejiang315201China Haihe Laboratory of Sustainable Chemical Transformations Tianjin300192China Tianjin Key Laboratory of Membrane Science and Desalination Technology Tianjin UniversityTianjin300072China Joint school of National university of Singapore and Tianjin university International Campus of Tianjin UniversityBinhai New CityFuzhou350207China

Membrane technology has become one of the most promising separation technologies for its energy saving, high separation efficiency, environmental friendliness, and economic feasibility. Covalent organic frameworks(COFs) with intrinsically high porosity, controllable pore size, uniform pore size distribution and long-range ordered channel structure, have emerged as next-generation materials to fabricate advanced separation membranes. This feature article summarizes some latest studies in the development of pure COF membranes in our lab, including their fabrication and applications in chemical separations. Finally, current challenges facing high-performance COF separation membranes are discussed.

关键词： Covalent organic frameworks Covalent organic framework membranes Water treatment Organic solvent nanofiltration Gas separation

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Rational design of hydroxytricyanopyrrole-based probes with high affinity and rapid visualization for amyloid-β aggregates in vitro and in vivo

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Chinese Chemical Letters 2024年第5期35卷 290-295页

作者： Jiajia Lv Jie Gao Hongyu Li Zeli Yuan Nan Dong school of Chemistry and Chemical Engineering Guizhou UniversityGuiyang 550025China school of Pharmacy Zunyi Medical UniversityZunyi 563003China Guizhou International Scientific and Technological Cooperation Base for Medical Photo-Theranostics Technology and Innovative Drug Development Zunyi 563003China

As key biomarkers,amyloid-β(Aβ)plaques are frequently used to diagnose Alzheimer’s disease(AD).Although fluorescence imaging has proven to be effective in detecting these plaques,the gold standard probe thioflavin T(ThT),used for Aβaggregates,cannot be applied in vivo owing to its invasive ***,the development of novel fluorescent probes capable of identifying Aβplaques in situ is *** on the ThT structure,twoπ-conjugated heterocyclic D-π-A probes were designed bearing the hydroxytricyanopyrrole acceptor and N,N-dimethylaminophenyl *** probes exhibited red to near-infrared fluorescence emission(λ_(max)=732 nm),large Stokes shifts(>100 nm),exceptional signal-to-noise ratio,rapid response(<30 s),and high binding affinity(NT-HTCP=33.32 nmol/L;NF-HTCP=53.35 nmol/L)for Aβ*** the best candidate,NT-HTCP was used for in situ imaging of Aβplaques in AD mouse ***,in vivo research demonstrated that NT-HTCP could cross the blood-brain barrier and continue imaging the Aβplaques with a good signal-to-noise ***,the outcomes of the docking computations helped guide the development of the Aβ*** study expands the family of N,N-dimethylaminophenyl-based Aβ-sensitive fluorophores,with NTHTCP emerging as a highly promising imaging agent.

关键词： Amyloid-β Fluorescent probe Hydroxytricyanopyrrole Fluorescence imaging Alzheimer’s disease

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Joint fuzzy background and adaptive foreground model for moving target detection

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Frontiers of Computer Science 2024年第2期18卷 93-106页

作者： Dawei ZHANG Peng WANG Yongfeng DONG Linhao LI Xin LI school of Artificial Intelligence Hebei University of TechnologyTianjin 300401China Lane Department of Computer Science and Electrical Engineering West Virginia UniversityMorgantownWV 26506-6109USA

Moving target detection is one of the most basic tasks in computer *** conventional wisdom,the problem is solved by iterative optimization under either Matrix Decomposition(MD)or Matrix Factorization(MF)*** utilizes foreground information to facilitate background *** uses noise-based weights to fine-tune the *** both noise and foreground information contribute to the recovery of the *** jointly exploit their advantages,inspired by two framework complementary characteristics,we propose to simultaneously exploit the advantages of these two optimizing approaches in a unified framework called Joint Matrix Decomposition and Factorization(JMDF).To improve background extraction,a fuzzy factorization is *** fuzzy membership of the background/foreground association is calculated during the factorization process to distinguish their contributions of both to background *** describe the spatio-temporal continuity of foreground more accurately,we propose to incorporate the first order temporal difference into the group sparsity constraint *** temporal constraint is adjusted *** foreground and the background are jointly estimated through an effective alternate optimization process,and the noise can be modeled with the specific probability *** experimental results of vast real videos illustrate the effectiveness of our *** with the current state-of-the-art technology,our method can usually form the clearer background and extract the more accurate ***-noise experiments show the noise robustness of our method.

关键词： matrixdecomposition matrix factorization generalized sparsity noise modeling

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