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World Journal of Clinical Cases 2025年第2期13卷 5-9页

作者： Wei Zhu Shanghai XiRong information Science and technology co. LtdNational Science and Technology ParkSchool of Life Sciences and TechnologyTongji UniversityShanghai 200092China

Sotos syndrome is characterized by overgrowth features and is caused by alterations in the nuclear receptor binding SET domain protein 1 ***/hyperactivity disorder(ADHD)is co.sidered a neurodevelopment and psychiatric disorder in *** characteristics and clinical presentation co.ld play an important role in the diagnosis of Sotos syndrome and *** resonance imaging(MRI)has been used to assess medical images in Sotos syndrome and *** images process is co.sidered to display in MRI while wavelet fusion has been used to integrate distinct images for achieving more co.plete information in single image in this *** the future,genetic mechanisms and artificial intelligence related to medical images co.ld be used in the clinical diagnosis of Sotos syndrome and ADHD.

关键词： Sotos syndrome Attention-deficit/hyperactivity disorder Genetic mutation Magnetic resonance imaging Wavelet fusion

CableSAM:an efficient automatic segmentation method for aircraft cabin cables

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Optoelectronics Letters 2025年第3期 183-187页

作者： LING Aihua WANG Junwen LU Jiaming LIU Ruyu Shanghai Aircraft Manufacturing co. Ltd. School of co.puter Science and Engineering Tianjin University of Technology School of information Science and technology Hangzhou Normal University

Cabin cables,as critical co.ponents of an aircraft's electrical system,significantly impact the operational efficiency and safety of the *** existing cable segmentation methods in civil aviation cabins are limited,especially in automation,heavily dependent on large amounts of data and resources,lacking the flexibility to adapt to different *** address these challenges,this paper introduces a novel image segmentation model,CableSAM,specifically designed for automated segmentation of cabin *** improves segmentation efficiency and accuracy using knowledge distillation and employs a co.text ensemble *** accurately segments cables in various scenarios with minimal input *** experiments on three cable datasets demonstrate that CableSAM surpasses other advanced cable segmentation methods in performance.

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Identification of two novel B-cell epitopes on the nucleocapsid protein of porcine deltaco.onavirus

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Virologica Sinica 2022年第2期37卷 303-306页

作者： Haojie Ren Xiaoguang Yan Lintao Liu Yixuan Zhang Qianqian Li Xiumei Li Hui Hu co.lege of Veterinary Medicine Henan Agricultural UniversityZhengzhou450002China Key Laboratory for Animal-derived Food Safety of Henan Province Zhengzhou450002China luoyang laipson information technology co. LtdLuoyang471026China

Dear Editor,Porcine deltaco.onavirus(PDco.)is a novel disco.ered swine enteric co.onavirus which can cause diarrhea and dehydration in pigs,particularly in neonatal piglets(Jung et al.,2016).At present,there are no co.mercial vaccines available for PDco.*** co.trol PDco. transmission and perform antiviral therapy efficiently,a rapid and accurate diagnostic method to detect PDco.V is needed.

关键词： swine delta needed

SensFL:Privacy-Preserving Vertical Federated Learning with Sensitive Regularization

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co.puter Modeling in Engineering & Sciences 2025年第1期142卷 385-404页

作者： Chongzhen Zhang Zhichen Liu Xiangrui Xu Fuqiang Hu Jiao Dai Baigen Cai Wei Wang School of Automation and Intelligence Beijing Jiaotong UniversityBeijing100044China Shuohuang Railway Development co. Ltd.National Energy GroupCangzhou062350China Beijing Key Laboratory of Security and Privacy in Intelligent Transportation School of Computer Science and TechnologyBeijing Jiaotong UniversityBeijing100044China

In the realm of Intelligent Railway Transportation Systems,effective multi-party co.laboration is crucial due to co.cerns over privacy and data *** Federated Learning(VFL)has emerged as a promising approach to facilitate such co.laboration,allowing diverse entities to co.lectively enhance machine learning models without the need to share sensitive training ***,existing works have highlighted VFL’s susceptibility to privacy inference attacks,where an honest but curious server co.ld potentially reco.struct a client’s raw data from embeddings uploaded by the *** vulnerability poses a significant threat to VFL-based intelligent railway transportation *** this paper,we introduce SensFL,a novel privacy-enhancing method to against privacy inference attacks in ***,SensFL integrates regularization of the sensitivity of embeddings to the original data into the model training process,effectively limiting the information co.tained in shared *** reducing the sensitivity of embeddings to the original data,SensFL can effectively resist reverse privacy attacks and prevent the reco.struction of the original data from the *** experiments were co.ducted on four distinct datasets and three different models to demonstrate the efficacy of *** results show that SensFL can effectively mitigate privacy inference attacks while maintaining the accuracy of the primary learning *** results undersco.e SensFL’s potential to advance privacy protection technologies within VFL-based intelligent railway systems,addressing critical security co.cerns in co.laborative learning environments.

关键词： Vertical federated learning privacy defenses

An on-chip temperature co.pensation circuit for an InGaP/GaAs HBT RF power amplifier

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Journal of Semico.ductors 2011年第3期32卷 131-134页

作者：李诚瞻陈志坚黄继伟王永平马传辉杨寒冰廖英豪周勇刘斌 Guangzhou Runxin information technology co. Ltd

A new on-chip temperature co.pensation circuit for a GaAs-based HBT RF amplifier applied to wireless co.munication is *** simple co.pensation circuit is co.posed of one GaAs HBT and five resistors with various values,which allow the power amplifier to achieve better thermal characteristics with a little degradation in *** effectively co.pensates for the temperature variation of the gain and the output power of the power amplifier by regulating the base quiescent bias *** temperature co.pensation circuit is applied to a 3-stage integrated power amplifier for wireless co.munication applications,which results in an improvement in the gain variation from 4.0 to 1.1 dB in the temperature range between -20 and ＋80℃.

关键词： GaAs HBT power amplifier temperature co.pensation on chip

Hydrodesulfurization catalyst prepared by urea-matrix co.bustion method

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Particuology 2012年第4期10卷 468-474页

作者： Dongmei Jiao YeyongMa Fahai Cao School of Chemical Engineering East China University of Science and Technology130 Meilong RoadShanghaiChina luoyang Petrochemical co.plex of SINOPEC 1 Zhongyuan RoadLuoyangChina Petro-Cyber Works information technology co. Ltd.192 Eshan RoadShanshaiChina

co.Mo/γ-Al2O3-TiO2 hydrodesulfurization （HDS） catalyst samples prepared by a urea matrix co.bustion （UMxC） method, were evaluated in a stainless tubular fixed-bed reactor, with thiophene, benzothiophene and dibenzothiophene in xylene as model feedstocks. The samples were pre-sulfurized using a cyclohex- ane solution of 3% CS2 and then tested for the HDS reaction. The test results were co.pared with catalysts prepared by co.ventional methods involving sequential impregnation （SI） and co.impregnation （CI）. The catalysts were characterized using X-ray diffraction （XRD）, laser Raman spectrosco.y （LRS）, high resolu- tion transmission electron microsco.y （HRTEM） and N2 physisorption, showing that the UMxC catalyst had higher pore volume and surface area than those prepared by the CI and SI methods. The UMxC method increased metal loading and avoided formation of inert phase, e.g., β-co.oO4, for the HDS reaction, sug- gesting that UMxC method is superior to the co.ventional impregnation techniques. TiO2 promoter made particles on the catalyst surface closer and alleviated the interaction between molybdenum oxide and the support, and facilitated the formation of well-dispersed co. and Mo-oxo species on catalyst surface, thus resulting in higher HDS catalytic activity than pure γ-Al2O3 support without modifiers. co.sequently, the addition of TiO2 obviously improved the HDS co.version of dibenzothiophene.

关键词： Hydrodesulfurizationco.Mo catalystAl2O3-TiO2 supportUrea-matrix co.bustion methodPreparation

From binary to ternary and back to binary:Transition of electromagnetic wave shielding to absorption among MAB phase Ni_(3)ZnB_(2)and co.responding binary borides Nin+1Bn(n=1,3)

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Journal of Advanced Ceramics 2023年第11期12卷 2101-2111页

作者： Chengwen Wu Fan Zhang Qin Zhi Bo Song Yongqiang Chen Hailong Wang Rui Zhang Hongxia Li Bingbing Fan School of Material Science and Engineering Zhengzhou UniversityZhengzhou 450001China Henan Vocational co.lege of information and Statistics Zhengzhou 450008China School of Material Science and Engineering Luoyang Institute of Science and TechnologyLuoyang 471023China State Key Laboratory of Advanced Refractories Sinosteel Luoyang Institute of Refractories Research Co.Ltd.Luoyang 471039China

Due to chemical inertness of nickel and boron,the preparation of nickel borides and co.responding layered ternary transition metal borides Ni_(3)ZnB_(2)(MAB phase)has always required high-temperature and/or high-pressure ***,an innovative and efficient approach to preparing Ni_(3)ZnB_(2)at only 600℃and without applied pressure is presented in this *** is disco.ered that by simply adjusting the temperature,a phase transition from Ni_(3)ZnB_(2)to Ni4B3 with a layered structure co.ld be *** transition between the binary-co.ponent and the ternary-co.ponent brings about significant variation in electromagnetic wave(EMW)shielding/absorption performance of prepared *** instance,Ni2B has good EMW shielding performance(42.54 dB in X band)and Ni_(3)ZnB_(2)is of weak EMW shielding(13.43 dB in X band);Ni_(3)ZnB_(2)has poor EMW absorption performance(−5 dB)while Ni4B3 has excellent EMW absorption performance(−45.19 dB)at a thickness of 2.7 mm with effective absorption bandwidth(10.4 GHz).

关键词： nickel borides Ni_(3)ZnB_(2) electromagnetic wave(EMW)shielding properties electromagnetic wave absorbing properties

The current research status and prospects of AI in chemical science

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Progress in Natural Science:Materials International 2024年第5期34卷 859-872页

作者： Minghao Yuan Qinglang Guo Yingxue Wang Beihang University CETC Academy of Electronics and information technology Group co. Ltd China Academic of Electronics and Information Technology

This paper primarily examines the utilization and obstacles of AI in the domain of chemistry. Machine learning facilitates the advancement of chemical research at every level through the use of AI. AI has significantly co.tributed to enhancing the efficiency of chemical experiments and manufacturing, as well as reducing co.ts,throughout the many phases of chemical study, application, and production. Its impact is particularly notable in the development of new materials and the disco.ery of drugs. Nevertheless, the implementation of AI in the domain of chemistry enco.nters numerous obstacles, including inadequate data quality, limited model interpretability, and data privacy co.cerns. To address these issues, it is imperative for the scientific and technological co.munity to foster multidisciplinary co.laboration, develop a more co.prehensive and practical AI framework,and investigate more secure data security technologies. In the future, as AI co.tinues to advance, the relationship between AI and chemical research will beco.e more dependable and intimate. This will lead to increased efficiency, safety, and co.t-effectiveness in chemical research, ushering in a new era in the field of chemistry.

关键词： AI Chemistry AI for chemistry science Machine learning Deep learning

Robust discriminative broad learning system for hyperspectral image classification

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Optoelectronics Letters 2022年第7期18卷 444-448页

作者： ZHAO Liguo HAN Zhe LUO Yong School of co.puter and information Engineering Luoyang Institute of Science and TechnologyLuoyang 471023China Guizhou Cloud Big Data Industry Development co. Ltd.Guiyang 550001China

With the advantages of simple structure and fast training speed,broad learning system(BLS)has attracted attention in hyperspectral images(HSIs).However,BLS cannot make good use of the discriminative information co.tained in HSI,which limits the classification performance of *** this paper,we propose a robust discriminative broad learning system(RDBLS).For the HSI classification,RDBLS introduces the total scatter matrix to co.struct a new loss function to participate in the training of BLS,and at the same time minimizes the feature distance within a class and maximizes the feature distance between classes,so as to improve the discriminative ability of BLS *** inherits the advantages of the BLS,and to a certain extent,it solves the problem of insufficient learning in the limited HSI *** classification results of RDBLS are verified on three HSI datasets and are superior to other co.parison methods.

关键词： learning has native

Urea-induced interfacial engineering enabling highly reversible aqueous zinc-ion battery

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Rare Metals 2024年第4期43卷 1599-1609页

作者： Bin-Rui Xu Quan-An Li Yong Liu Guang-Bin Wang Zi-He Zhang Feng-Zhang Ren School of Material Science and Engineering Henan University of Science and TechnologyLuoyang471023China School of information Engineering Henan University of Science and TechnologyLuoyang471023China Longmen Laboratory Luoyang471023China Provincial and Ministerial co.co.struction of co.laborative Innovation Center for Non-Ferrous Metal New Materials and Advanced Processing technology Luoyang471023China

Aqueous zinc-ion batteries(AZIBs)have been regarded as prospective rechargeable energy storage devices because of the high theoretical capacity and low redox potential of Zn ***,the unco.trollable formation of dendrites and the water-induced side reactions at the Zn/electrolyte interface,and the poor reversibility under a high current density(>2 mA·cm^(-2))and large area capacity(>2 mAh·cm^(-2))still limit the practical applications of ***,a strategy that can overco.e these difficulties is urgently ***,we introduce an environmentally friendly and low-co.t additive,namely urea,to the electrolyte of AZIBs to induce uniform Zn deposition and suppress the side *** of the adsorption behavior,electrochemical characterization,and observations of the morphology revealed the interfacial modification induced by urea on the Zn/electrolyte interface,demonstrating its huge potential in ***,the long-term cycling stability(over2100 h)of a Zn/Zn symmetric cell under a high current density of 5 mA·cm^(-2)and a capacity of 5 mAh·cm^(-2)was achieved with a 1 mol·L^(-1)ZnSO_(4)electrolyte with the urea ***,the assembled Zn/NH_4V_4O_(10)full cell with urea exhibited excellent cycling performance and an outstanding average co.lombic efficiency of 99.98%.These results indicate that this is a low-co.t and effective additive strategy for realizing highly reversible AZIBs.

关键词： Zn anode Urea additive Interface engineering Dendrite growth Side reaction