检索结果-南通市图书馆

NaBH4-induced phase transition of CoSe_(2) with abundant Se deficiency for acidic oxygen reduction to hydrogen peroxide

在线全文

学校读者我要写书评

暂无评论

Rare Metals 2024年第2期43卷 500-510页

作者： cai-Di han Yong-Chao Zhang Qian Zhang Jin-Ting Wu Jian Gao Ji-Jun Zou Xiao-dong Zhu State Key Laboratory Base of Eco-Chemical Engineering college of Chemical Engineering Qingdao University of Science and TechnologyQingdao266042China Key Laboratory for Green Chemical Technology of Ministry of Education School of Chemical Engineering and TechnologyTianjin UniversityTianjin300072China

Electrocatalytic oxygen reduction(ORR)via the 2e−pathway to form H_(2)O_(2) in acidic medium has attracted extensive ***,the low activity,insufficient selectivity and high cost of catalysts have been the ***,CoSe_(2) with abundant Se deficiency was synthesized by a simple hydrothermal method,and the addition of NaBH4-induced CoSe_(2) phase transition from orthorhombic to cubic phase with more Se *** cubic phase CoSe_(2) with abundant Se deficiency can effectively regulate the surface electronic structure with suitable binding energies of*OOH and*O,which shows high activity,selectivity and long-term stability for acidic ORR to H_(2)O_(2).The onset potential is as low as 0.73 V *** hydrogen electrode(RHE),the H_(2)O_(2) selectivity is 84%(0 V ***),and the average electron transfer number is about ***,the H_(2)O_(2) yield measured using a flow cell is as high as 115.92 mmol·gcat.^(−1)·h^(−1) and the Faradaic efficiency is 70%at 0 V ***,which presents high potential in electrocatalytic acidic ORR to H_(2)O_(2) and organic pollutant degradation using the electron-Fenton process.

关键词： Se defected CoSe_(2) Crystal phase transition Electrocatalysis Acidic oxygen reduction Hydrogen peroxide

Key genes and regulatory networks for diabetic retinopathy based on hypoxia-related genes:a bioinformatics analysis

在线全文

学校读者我要写书评

暂无评论

International Journal of Ophthalmology(English edition) 2024年第8期17卷 1411-1417页

作者： cai-han Yu cai-Xia Wu Dai Li Lan-Lan Gong Xu-dong Lyu Jie Yang Department of Ophthalmology Xianning Central HospitalThe First Affiliated Hospital of Hubei University of Science and TechnologyXianning 437100Hubei ProvinceChina School of Pharmacy Xianning Medical CollegeHubei University of Science and TechnologyXianning 437100Hubei ProvinceChina School of Optometry Hubei University of Science and TechnologyXianning 430071Hubei ProvinceChina

AIM:To prevent neovascularization in diabetic retinopathy(DR)patients and partially control disease ***:Hypoxia-related differentially expressed genes(DEGs)were identified from the GSE60436 and GSE102485 datasets,followed by gene ontology(GO)functional annotation and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment *** candidate drugs were screened using the CMap ***,a protein-protein interaction(PPI)network was constructed to identify hypoxia-related hub genes.A nomogram was generated using the rms R package,and the correlation of hub genes was analyzed using the Hmisc R *** clinical significance of hub genes was validated by comparing their expression levels between disease and normal groups and constructing receiver operating characteristic curve(ROC)***,a hypoxia-related miRNA-transcription factor(TF)-Hub gene network was constructed using the NetworkAnalyst online ***:Totally 48 hypoxia-related DEGs and screened 10 potential candidate drugs with interaction relationships to upregulated hypoxia-related genes were identified,such as ruxolitinib,meprylcaine,and *** addition,8 hub genes were also identified:glycogen phosphorylase muscle associated(PYGM),glyceraldehyde-3-phosphate dehydrogenase spermatogenic(GAPDHS),enolase 3(ENO3),aldolase fructose-bisphosphate C(ALDOC),phosphoglucomutase 2(PGM2),enolase 2(ENO2),phosphoglycerate mutase 2(PGAM2),and 6-phosphofructo-2-kinase/fructose-2,6-biphosphatase 3(PFKFB3).Based on hub gene predictions,the miRNA-TF-Hub gene network revealed complex interactions between 163 miRNAs,77 TFs,and hub *** results of ROC showed that the except for GAPDHS,the area under curve(AUC)values of the other 7 hub genes were greater than 0.758,indicating their favorable diagnostic ***:PYGM,GAPDHS,ENO3,ALDOC,PGM2,ENO2,PGAM2,and PFKFB3 are hub genes in DR,and hypoxia-related hub genes exhibited favorable diagnostic perform

关键词： diabetic retinopathy hypoxia-related genes hub genes miRNA-TF-Hub gene drug prediction

Inclusion Property and Molecular Modeling of Calix[4]arene Derivatives

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

wuhan university Journal of Natural sciences 1999年第4期4卷 463-468页

作者： YU Xiao dong, LIN Lin, han Hui ming, WU cai ying  college of Chemistry and Environmental science, wuhan university, wuhan 430072, china wuhan university College of Chemistry and Environmental Science Wuhan China (GRID:grid.49470.3e) (ISNI:***)

The inclusion properties of two calix[4]arene derivatives 5,11,17,23 tetra tert butyl 25, 27 bis (isopropyl carbamoyl methoxy) 26,28 diundecenyloxy calix[4]arene (C[4]A) and 25,27 dibutoxy 5,11,17,23 tetra tert butyl 26,28 diundecenyloxy calix[4]arene (C[4]B) were studied by gas chromatographic method. It was found that C[4]A could form inclusion complexes with benzene, toluene, methanol and ethanol while C[4]B could only form inclusion complex with methanol, which might be due to the different conformations of C[4]A and C[4]B. Molecular modeling showed that CH/π and OH/π interactions played important roles in the forming of inclusion complexes.

关键词： calixarene gas chromatography molecular modeling inclusion interaction

Inferring the Effects of Protein Variants on Protein-Protein Interactions with Interpretable Transformer Representations

在线全文

学校读者我要写书评

暂无评论

Research 2024年第2期2023卷 473-489页

作者： Zhe Liu Wei Qian Wenxiang cai Weichen Song Weidi Wang Dhruba Tara Maharjan Wenhong Cheng Jue Chen han Wang dong Xu Guan Ning Lin Shanghai Mental Health Center Shanghai Jiao Tong University School of MedicineSchool of Biomedical EngineeringShanghai Jiao Tong UniversityShanghaiChina Shanghai Key Laboratory of Psychotic Disorders ShanghaiChina School of Information science and Technology Institute of Computational BiologyNortheast Normal UniversityChangchunChina Department of Electrical Engineering and computer science University of MissouriColumbiaMO 65211USA Christopher S.Bond Life sciences Center University of MissouriColumbiaMO 65211USA

Identifying pathogenetic variants and inferring their impact on protein-protein interactions sheds light on their functional consequences on *** by the availability of experimental data on the consequences of protein interaction,most existing methods focus on building models to predict changes in protein binding ***,we introduced MIPPI,an end-to-end,interpretable transformer-based deep learning model that learns features directly from sequences by leveraging the interaction data from *** was specifically trained to determine the types of variant impact(increasing,decreasing,disrupting,and no effect)on protein-protein *** demonstrate the accuracy of MIPPI and provide interpretation through the analysis of learned attention weights,which exhibit correlations with the amino acids interacting with the ***,we showed the practicality of MIPPI in prioritizing de novo mutations associated with complex neurodevelopmental disorders and the potential to determine the pathogenic and driving ***,we experimentally validated the functional impact of several variants identified in patients with such ***,MIPPI emerges as a versatile,robust,and interpretable model,capable of effectively predicting mutation impacts on protein-protein interactions and facilitating the discovery of clinically actionable variants.

关键词： consequences weights versatile

Organic Integration of Traditional Chinese and Western Medicines—Future of Clinical Practice Guidelines of Integrated Traditional Chinese and Western Medicines

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Chinese Journal of Integrative Medicine 2024年第4期30卷 359-365页

作者： XIE Ying-lan han Fei JIN Ying-hui DING Yan-bing GUO Jing JI dong-xiao ZhanG Teng CHENXiao-min ShanG Hong-cai Department of Traditional Chinese Medicine Encephalopathy Hubei Provincial Hospital of Traditional Chinese MedicineWuhan(430074)China Department of Traditional Chinese Medicine Encephalopathy Hubei Province Traditional Chinese Medicine Research InstituteWuhan(430074)China Xuanwu Hospital of Traditional Chinese Medicine Beijing(100000)China Center for Evidence-Based and Translational Medicine Zhongnan Hospital of Wuhan UniversityWuhan(430074)China college of Acupuncture and Massage College of Health and RehabilitationNanjing University of Chinese MedicineNanjing(210023)China Department of Ophthalmology Huaihe Hospital of Henan UniversityKaifengHenan Province(475000)China Ministry of Education and Beijing Key Laboratory of Internal Medicine of Traditional Chinese Medicine Dongzhimen Hospital of Beijing University of Traditional Chinese Medicine/Ministry of Education and Beijing Key Laboratory of Internal Medicine of Traditional Chinese MedicineBeijing(100700)China

The transformation and implementation of clinical practice guidelines for integrated traditional Chinese medicine(TCM)and Western medicine(WM)is crucial to the adoption of medical science and technological findings and is an important way for TCM to be made available to the ***,clinical practice guidelines(CPGs)of TCM and WM integration in recent years was analyzed to clarify the current situation and problems in the existing guidelines according to the following four perspectives:(1)perspective of TCM and WM integration in guidelines,(2)diagnosis Using integrated TCM and WM,(3)integration of TCM and WM treatment,(4)promoting TCM and WM ***,the information and quality evaluation of CPGs for integrated Chinese and Western medicine in 2020–2022 were analyzed to explore the degree and methods of integration of Chinese and Western medicine *** last this study aimed to lay a foundation for the further establishment of Chinese characteristic,repeatable,and calculable clinical practice guidelines of TCM and WM integration.

关键词： clinical practice guidelines integrated traditional Chinese and Western medicine organic integration

Nonlinear Registration of Brain Magnetic Resonance Images with Cross Constraints of Intensity and Structure

在线全文

学校读者我要写书评

暂无评论

computers, Materials & Continua 2024年第5期79卷 2295-2313页

作者： han Zhou HongtaoXu Xinyue Chang Wei Zhang Heng dong Digital Fujian Research Institute of Big Data forAgriculture and Forestry Fujian Agriculture and Forestry UniversityFuzhou350002China college of computer and Information science Fujian Agriculture and Forestry UniversityFuzhou350002China

Many deep learning-based registration methods rely on a single-stream encoder-decoder network for computing deformation fields between 3D ***,these methods often lack constraint information and overlook semantic consistency,limiting their *** address these issues,we present a novel approach for medical image registration called theDual-VoxelMorph,featuring a dual-channel cross-constraint *** innovative network utilizes both intensity and segmentation images,which share identical semantic information and feature *** encoder-decoder structures calculate deformation fields for intensity and segmentation images,as generated by the dual-channel cross-constraint *** design facilitates bidirectional communication between grayscale and segmentation information,enabling the model to better learn the corresponding grayscale and segmentation details of the same anatomical *** ensure semantic and directional consistency,we introduce constraints and apply the cosine similarity function to enhance semantic *** on four public datasets demonstrates superior performance compared to the baselinemethod,achieving Dice scores of 79.9%,64.5%,69.9%,and 63.5%for OASIS-1,OASIS-3,LPBA40,and ADNI,respectively.

关键词： Medical image registration cross constraint semantic consistency directional consistency dual-channel

Single depth image 3D face reconstruction via domain adaptive learning

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Frontiers of computer science 2024年第1期18卷 259-261页

作者： Xiaoxu cai Jianwen LOU Jiajun BU Junyu dong Haishuai WANG Hui YU college of computer science and Technology Zhejiang UniversityHangzhou 310013China School of Creative Technologies University of PortsmouthPortsmouth PO12DJUK college of computer science and Technology Ocean University of ChinaQingdao 266100China

1 Introduction In this paper,we propose a novel domain-adaptive reconstruction method that effectively leverages deep learning and synthetic data to achieve robust 3D face reconstruction from a single depth *** method applies two domain-adaptive neural networks for predicting head pose and facial shape,*** networks undergo training with a customized domain adaptation strategy,using a combination of auto-labeled synthetic and unlabeled real data.

关键词： networks image learning

Engineered AAV13 variants with enhanced transduction and confined spread

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Zoological Research 2024年第4期45卷 781-790页

作者： Neng-Song Luo Yu-Xiang cai Zeng-Peng han Xiao-Kai Sui Wen-Jia Yuan Zi-Lian Zhang Hao-dong Guo Jie Wang Kun-Zhang Lin Fu-Qiang Xu wuhan National Laboratory for Optoelectronics Huazhong University of Science and TechnologyWuhanHubei 430074China Shenzhen Key Laboratory of Viral Vectors for Biomedicine Shenzhen-Hong Kong Institute of Brain ScienceShenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhenGuangdong 518055China Key Laboratory of Magnetic Resonance in Biological Systems State Key Laboratory of Magnetic Resonance and Atomic and Molecular PhysicsNational Center for Magnetic Resonance in WuhanInnovation Academy for Precision Measurement Science and TechnologyChinese Academy of SciencesWuhanHubei 430071China Key Laboratory of Quality Control Technology for Virus-Based Therapeutics Guangdong Provincial Medical Products AdministrationNMPA Key Laboratory for Research and Evaluation of Viral Vector Technology in Cell and Gene Therapy Medicinal ProductsBrain Cognition and Brain Disease InstituteShenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhenGuangdong 518055China university of Chinese Academy of sciences Beijing 100049China Zhongnan Hospital Wuhan UniversityWuhanHubei 430072China Brain Case Biotechnology Co. Ltd.ShenzhenGuangdong 518107China college of Life sciences Wuhan UniversityWuhanHubei 430072China Center for Excellence in Brain science and Intelligence Technology Chinese Academy of SciencesShanghai 200031China

Precise targeting of specific regions within the central nervous system(CNS)is crucial for both scientific research and gene therapy in the context of brain ***-associated virus 13(AAV13)is known for its restricted diffusion range within the CNS,making it an ideal choice for precise labeling and administration within small brain ***,AAV13 mediates relatively low expression of target ***,we introduced specifically engineered modifications to the AAV13 capsid protein to enhance its transduction *** first constructed AAV13-YF by mutating tyrosine to phenylalanine on the surface of the AAV13 *** then inserted the 7m8 peptide,known to enhance cell transduction,into positions 587/588 and 585/586 of the AAV13 capsid,resulting in two distinct variants named AAV13-587-7m8 and AAV13-585-7m8,*** found that AAV13-YF exhibited superior in vitro infectivity in HEK293T cells compared to AAV13,while AAV13-587-7m8 and AAV13-585-7m8 showed enhanced CNS infection capabilities in C57BL/6 mice,with AAV13-587-7m8 infection retaining a limited spread *** modified AAV13 variants hold promising potential for applications in gene therapy and neuroscience research.

关键词： Adeno-associated virus 13 AAV13-YF AAV13-587-7m8 AAV13-585-7m8 transduction efficiency

Early fire detection technology based on improved transformers in aircraft cargo compartments

在线全文

学校读者我要写书评

暂无评论

Journal of Safety science and Resilience 2024年第2期5卷 194-203页

作者： Hongzhou Ai dong han Xinzhi Wang Quanyi Liu Yue Wang Mengyue Li Pei Zhu college of Civil Aviation Safety Engineering Civil Aviation Flight University of ChinaGuanghan618307China CivilAircraf Fire science and Safety Enginring Key Laboratory of Sichuan CivilAviation Flight University of ChinaGuanghan 618307China School of computer Engineering and science Shanghai UniversityShanghai 200444China Key Laboratory of Civil Aviation Emergency science&Technology Nanjing University of Aeronautics and AstronauticsNanjing 210000China

The implementation of early and accurate detection of aircraft cargo compartment fire is of great significance to ensure flight *** current airborne fire detection technology mostly relies on single-parameter smoke detection using infrared *** often results in a high false alarm rate in complex air transportation *** traditional deep learning model struggles to effectively address the issue of long-term dependency in multivariate fire *** paper proposes a multi-technology collaborative fire detection method based on an improved transformers ***-wavelength optical sensors,flue gas analyzers,and other equipment are used to carry out multi-technology collaborative detection methods and characterize various feature dimensions of fire to improve detection *** improved Transformer model which integrates the self-attention mechanism and position encoding mechanism is applied to the problem of long-time series modeling of fire information from a global perspective,which effectively solves the problem of gradient disappearance and gradient explosion in traditional RNN(recurrent neural network)and CNN(convolutional neural network).Two different multi-head self-attention mechanisms are used to classify and model multivariate fire information,respectively,which solves the problem of confusing time series modeling and classification modeling in dealing with multivariate classification tasks by a single attention ***,the output results of the two models are fused through the gate *** research results show that,compared with the traditional single-feature detection technology,the multi-technology collaborative fire detection method can better capture fire *** with the traditional deep learning model,the multivariate fire pre-diction model constructed by the improved Transformer can better detect fires,and the accuracy rate is 0.995.

关键词： Deep learning Aircraft cargo compartment Attentionmechanism Firedetection Multi-sourcedata fusion