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Unveiling of Terahertz Emission from Ultrafast Demagnetization and the Anomalous Hall Effect in a Single Ferromagnetic Film

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Chinese Physics Letters 2024年第4期41卷 45-50页

作者：蓝志强李章顺徐浩然刘凡金钻明彭滟朱亦鸣 Terahertz Technology Innovation Research Institute Terahertz Spectrum and Imaging Technology Cooperative Innovation CenterShanghai Key Lab of Modern Optical SystemUniversity of Shanghai for Science and TechnologyShanghai 200093China

Using THz emission spectroscopy,we investigate the elementary spin dynamics in ferromagnetic single-layer Fe on a sub-picosecond *** demonstrate that THz radiation changes its polarity with reversal of the magnetization applied by the external magnetic *** addition,it is found that the sign of THz polarity excited from different sides is defined by the thickness of the Fe layer and Fe/dielectric *** on the thickness and symmetry dependences of THz emission,we experimentally distinguish between the two major contributions:ultrafast demagnetization and the anomalous Hall *** experimental results not only enrich understanding of THz electromagnetic generation induced by femtosecond laser pulses but also provide a practical way to access laser-induced ultrafast spin dynamics in magnetic structures.

关键词： magnetic magnetization polarity

Polarized imaging dynamic light scattering for simultaneous measurement of nanoparticle size and morphology

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Particuology 2024年第2期85卷 213-223页

作者： Bingyao Wang Tianyi Cai Xiaoshu Cai Wu Zhou Zeqi Liu Schoolof Energy and Power Engineering University of Shanghai for Science and TechnologyShanghai200093China shanghai Key Laboratory of Multiphase Flow and Heat Transfer in Power Engineering Shanghai200093China Jiaxing MeaParTech Instrument Technology co. LtdZhejiang314000China

The performance of nanoparticles is often affected by particle size and ***,electron microscopy or atomic force microscopy is typically utilized to determine the size and morphology of ***,there are issues such as difficult sample preparation,long processing times,and challenges in quantitative ***,it is of great significance to develop a fast,accu-rate,and statistical method to measure the size and morphology of *** this study,a new method,called polarized imaging dynamic light scattering(PIDLS),is *** nanoparticles are irradiated with a vertical linearly polarized laser beam,and a polarization camera collected the dynamic light scattering images of particles at four different polarization directions(0°,45°,90°,and 135°)at a scattering angle of 90°.The average particle size and distribution are obtained using the imaging dy-namic light scattering method at 0°polarization direction,and the morphology of the particles is ob-tained based on the depolarization patterns of the scattered *** optical sphericityΦis defined based on the degree of linear polarization(DoLP).It is also implemented for the quantitative evaluation of the sphericity of the nanoparticles,including spherical,octahedral,nanoplate,nanorod,and linear *** with the Poincarésphere parameterψ,the morphology of the nanoparticles can be roughly *** addition,PIDLS enables the measurement of particle size and morphology distributions simultaneously for evaluating the uniformity of *** effectiveness of PIDLS is verified by the measurement of five kinds of industrial titanium dioxide as well.

关键词： imaging dynamic light scattering Polarized light scattering Non-spherical nanoparticles Morphology Online measurement

Bibliometrics analysis based on the Web of Science:Current trends and perspective of gastric organoid during 2010-2023

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World Journal of Gastroenterology 2024年第8期30卷 969-983页

作者： Kai-Lin Jiang Yue-Bo Jia Xue-Jiao Liu Qing-Ling Jia Li-Kun Guo Xiang-Xiang Wang Ke-Ming Yang Chen-Heng Wu Bei-Bei Liang Jiang-Hong Ling Department of Gastroenterology Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese MedicineShanghai 200021China Laboratory of Cancer Biology University of OxfordOxford OX37DQUnited Kingdom School of Traditional Chinese Medicine Shanghai University of Chinese MedicineShanghai 200021China shanghai Key Laboratory of Molecular imaging Shanghai University of Medicine and Health SciencesShanghai 201318China

BACKGROUND Three-dimensional organoid culture systems have been established as a robust tool for elucidating mechanisms and performing drug efficacy *** use of gastric organoid models holds significant promise for advancing personalized medicine ***,a comprehensive bibliometric review of this burgeoning field has not yet been *** To analyze and understand the development,impact,and direction of gastric organoid research using bibliometric methods using data from the Web of Science core collection(WoSCC)*** This analysis encompassed literature pertaining to gastric organoids published between 2010 and 2023,as indexed in the *** and VOSviewer were used to depict network maps illustrating collaborations among authors,institutions and keywords related to gastric ***,co-citation,and burst analysis methodologies were applied to assess the impact and progress of *** A total of 656 relevant studies were *** majority of research was published in gastroenterology-focused ***,Yana Zavros,Hans Clevers,James M Wells,Sina Bartfeld,and Chen Zheng were the 5 most productive authors,while Hans Clevers,Huch Meritxell,Johan H van Es,Marc Van de Wetering,and Sato Toshiro were the foremost influential scientists in this *** from the University Medical Center Utrecht,Netherlands Institute for Developmental Biology(Utrecht),and University of Cincinnati(Cincinnati,OH,united States)made the most significant ***,gastric organoids are used mainly in studies investigating gastric cancer(GC),Helicobacter pylori-infective gastritis,with a focus on the mechanisms of GC,and drug screening *** Key focus areas of research using gastric organoids include unraveling disease mechanisms and enhancing drug screening *** contributions from renowned academic institutions highlight this field’s dynamic growth.

关键词： Gastric organoid Gastric disease Bibliometrics analysis Gastric cancer Gastritis

Artificial intelligence models based on non-contrast chest CT for measuring bone mineral density

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中国医学影像技术 2024年第8期40卷 1231-1235页

作者： DUAN Wei YANG Guoqing LI Yang SHI Feng YANG Lian XIONG Xin CHEN Bei LI Yong FU Quanshui Department of Medical imaging North Sichuan Medical CollegeNanchong 637000China Department of Radiology Suining Central HospitalSuining 629000China Department of Radiology Suining Hospital of Traditional Chinese MedicineSuining 629000China shanghai united imaging Intelligence co.ltd. Shanghai 201807China

Objective To observe the value of artificial intelligence(AI)models based on non-contrast chest CT for measuring bone mineral density(BMD).Methods Totally 380 subjects who underwent both non-contrast chest CT and quantitative CT(QCT)BMD examination were retrospectively enrolled and divided into training set(n=304)and test set(n=76)at a ratio of 8∶*** mean BMD of L1—L3 vertebrae were measured based on *** bones of T5—T10 vertebrae were segmented as ROI,radiomics(Rad)features were extracted,and machine learning(ML),Rad and deep learning(DL)models were constructed for classification of osteoporosis(OP)and evaluating BMD,*** operating characteristic curves were drawn,and area under the curves(AUC)were calculated to evaluate the efficacy of each model for classification of ***-Altman analysis and Pearson correlation analysis were performed to explore the consistency and correlation of each model with QCT for measuring *** Among ML and Rad models,ML Bagging-OP and Rad Bagging-OP had the best performances for classification of *** test set,AUC of ML Bagging-OP,Rad Bagging-OP and DL OP for classification of OP was 0.943,0.944 and 0.947,respectively,with no significant difference(all P>0.05).BMD obtained with all the above models had good consistency with those measured with QCT(most of the differences were within the range of Ax-G±1.96 s),which were highly positively correlated(r=0.910—0.974,all Pconclusion AI models based on non-contrast chest CT had high efficacy for classification of OP,and good consistency of BMD measurements were found between AI models and QCT.

关键词： osteoporosis bone density tomography,X-ray computed artificial intelligence

Superposed probabilistically shaped QAM constellation design based on nonlinear coding for MIMO visible light communication systems

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Chinese Optics Letters 2024年第6期22卷 109-115页

作者： Xinyue Guo Meixia Lu Qibin Zheng Key Laboratory of Optical Technology and Instrument for Medicine Ministry of EducationSchool of Optical-Electrical and Computing EngineeringUniversity of Shanghai for Science and TechnologyShanghai 200093China Laboratory of Radiation Detection and Medical imaging School of Health Science and EngineeringUniversity of Shanghai for Science and TechnologyShanghai 200093China

In this study, we propose a superposed probabilistically shaped(PS) quadrature amplitude modulation(QAM) constellation scheme for multiple-input multiple-output visible light communication systems. PS QAM signals are generated from a nonlinear coding equation that converts uniformly distributed 8-level signals into PS 9-or 10-level signals, which are then mapped into PS 9QAM or 10QAM signals. Square-shaped 9QAM and trapezoid-shaped 10QAM constellations are introduced to maximize the minimum Euclidean distance(MED) of the superposed constellation. Finally, the PS 9QAM and 10QAM signals are superposed with the 4QAM signals in a flipped manner to obtain PS 36QAM or 40QAM signals at the receiver, *** exploit the temporal correlation of the resulting signal from nonlinear coding, we developed a detection algorithm based on Viterbi decoding. Experimental results confirmed the superiority of the proposed schemes by achieving a higher MED and stronger ability to resist nonlinearity. compared with the traditional scheme, the peak-to-peak voltage dynamic ranges of the superposed 36QAM and 40QAM constellation schemes were improved by 52% and 48%, respectively.

关键词： visible light communication superposed constellation nonlinear coding

Prediction of Pediatric Sepsis Using a Deep Encoding Network with Cross Features

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Journal of shanghai Jiaotong university(Science) 2024年第1期29卷 131-140页

作者：陈潇张瑞汤心溢钱娟 University of Chinese Academy of Sciences Beijing 100084China shanghai Institute of Technical Physics of the Chinese Academy of Sciences Key Laboratory of Infrared Detection and Imaging TechnologyShanghai 200083China shanghai Children's Medical Center Shanghai Jiao Tong University School of MedicineShanghai 200127China

Sepsis poses a serious threat to health of children in pediatric intensive care *** mortality from pediatric sepsis can be effectively reduced through in-time diagnosis and therapeutic *** bacilliculture detection method is too time-consuming to receive timely *** this research,we propose a new framework:a deep encoding network with cross features(CF-DEN)that enables accurate early detection of *** features are automatically constructed via the gradient boosting decision tree and distilled into the deep encoding network(DEN)we *** DEN is aimed at learning sufficiently effective representation from clinical test *** layer of the DEN fltrates the features involved in computation at current layer via attention mechanism and outputs the current prediction which is additive layer by layer to obtain the embedding feature at last *** framework takes the advantage of tree-based method and neural network method to extract effective representation from small clinical dataset and obtain accurate prediction in order to prompt patient to get timely *** evaluate the performance of the framework on the dataset collected from shanghai Children's Medical *** with common machine learning methods,our method achieves the increase on F1-score by 16.06%on the test set.

关键词： pediatric sepsis gradient boosting decision tree cross feature neural network deep encoding network with cross features(CF-DEN)

IMAGGS: a radiogenomic framework for identifying multi-way associations in breast cancer subtypes

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Journal of Genetics and Genomics 2024年第4期51卷 443-453页

作者： Shuyu Liang Sicheng Xu Shichong Zhou Cai Chang Zhiming Shao Yuanyuan Wang Sheng Chen Yunxia Huang Yi Guo Department of Electronic Engineering School of Information Science and TechnologyFudan UniversityShanghai 200433China The Key Laboratory of Medical imaging computing and computer Assisted Intervention(MICCAI)of shanghai Shanghai 200032China shanghai Key Laboratory of Metabolic Remodeling and Health Institute of Metabolism and Integrative BiologyFudan UniversityShanghai 200433China Department of Ultrasound Fudan University Shanghai Cancer CenterDepartment of OncologyShanghai Medical CollegeFudan UniversityShanghai 200032China Department of Breast Surgery Fudan University Shanghai Cancer CenterDepartment of OncologyShanghai Medical CollegeFudan UniversityShanghai 200032China

Investigating correlations between radiomic and genomic profiling in breast cancer(BC)molecular subtypes is crucial for understanding disease mechanisms and providing personalized *** present a well-designed radiogenomic framework image–gene–gene set(IMAGGS),which detects multi-way associations in BC subtypes by integrating radiomic and genomic *** dataset consists of 721 patients,each of whom has 12 ultrasound(US)images captured from different angles and gene mutation *** better characterize tumor traits,12 multi-angle US images are fused using two distinct ***,we analyze complex many-to-many associations between phenotypic and genotypic features using a machine learning algorithm,deviating from the prevalent one-to-one relationship pattern observed in previous *** radiomic and genomic features are screened using these *** addition,gene set enrichment analysis is performed to investigate the joint effects of gene sets and delve deeper into the biological functions of BC *** further validate the feasibility of IMAGGS in a glioblastoma multiforme dataset to demonstrate the scalability of IMAGGS across different modalities and *** together,IMAGGS provides a comprehensive characterization for diseases by associating imaging,genes,and gene sets,paving the way for biological interpretation of radiomics and development of targeted therapy.

关键词： IMAGGS Radiogenomic framework "lmage-gene-geneset"associations Molecular subtypes Breast cancer

Forebrain excitatory neuron-specific loss of Brpf1 attenuates excitatory synaptic transmission and impairs spatial and fear memory

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Neural Regeneration Research 2024年第5期19卷 1133-1141页

作者： Baicheng Zhao Hang Zhang Ying Liu Gaoyu Zu Yuxiao Zhang Jiayi Hu Shuai Liu Linya You Department of Human Anatomy&Histoembryology School of Basic Medical SciencesFudan UniversityShanghaiChina shanghai Key Laboratory of Brain Functional Genomics(Ministry of Education) Affiliated Mental Health Center(ECNU)School of Psychology and Cognitive ScienceEast China Normal UniversityShanghaiChina shanghai Changning Mental Health Center ShanghaiChina NYU-ECNU Institute of Brain and cognitive Science at NYU shanghai ShanghaiChina Key Laboratory of Medical imaging computing and computer Assisted Intervention of shanghai ShanghaiChina

Bromodomain and plant homeodomain(PHD)finger containing protein 1(Brpf1)is an activator and scaffold protein of a multiunit complex that includes other components involving lysine acetyltransferase(KAT)6A/6B/***1,KAT6A,and KAT6B mutations were identified as the causal genes of neurodevelopmental disorders leading to intellectual *** previous work revealed strong and specific expression of Brpf1 in both the postnatal and adult forebrain,especially the hippocampus,which has essential roles in learning and ***,we hypothesized that Brpf1 plays critical roles in the function of forebrain excitatory neurons,and that its deficiency leads to learning and memory *** test this,we knocked out Brpf1 in forebrain excitatory neurons using *** found that Brpf1 deficiency reduced the frequency of miniature excitatory postsynaptic currents and downregulated the expression of genes Pcdhgb1,Slc16a7,Robo3,and Rho,which are related to neural development,synapse function,and memory,thereby damaging spatial and fear memory in *** findings help explain the mechanisms of intellectual impairment in patients with BRPF1 mutation.

关键词： behavioral test Brpf1 CAMKIIa-Cre intellectual disability miniature excitatory postsynaptic current mRNA-Seq

Exosome-Transmitted miR-224-5p Promotes colorectal Cancer Cell Proliferation via Targeting ULK2 in p53-Dependent Manner

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Biomedical and Environmental Sciences 2024年第1期37卷 71-84页

作者： YANG Le Mei ZHENG Qi LIU Xiao Jia LI Xian Xian Veronica Lim CHEN Qi ZHAO Zhong Hua WANG Shu Yang Department of Pathology School of Basic MedicineFudan UniversityShanghai 200032China Department of Pathology Dunedin School of MedicineUniversity of OtagoDunedin 9054New Zealand Department of Pathology Huashan HospitalFudan UniversityShanghai 200040China shanghai Cancer Institute Renji HospitalSchool of MedicineShanghai Jiao Tong UniversityShanghai 200127China Teladoc Health Inc Shanghai 200335China shanghai Medical college Fudan UniversityShanghai 200032China shanghai Key Laboratory of Medical imaging computing and computer Assisted Intervention Shanghai 200032China

Objective To investigate the role and molecular mechanism of exosomal miR-224-5p in colorectal cancer(CRC).Methods The miR-224-5p expression in CRC patient tissues and cell-derived exosomes was measured by laser capture microdissection and qRT-PCR,***-luciferase reporter gene assay was used to determine the target gene of *** protein expressions of p53 and unc-51 like kinase 2(ULK2)in CRC cells were detected by western *** cytometry was used to detect cell cycle and *** proliferation was measured by CCK8 and EdU *** The miR-224-5p expression was upregulated in CRC tissues and increased progressively with the rise of CRC *** cells secreted extracellular miR-224-5p mainly in an exosome-dependent manner,and then miR-224-5p could be transferred to surrounding tumor cells to regulate cell proliferation in the form of autocrine or ***,ULK2 was characterized as a direct target of miR-224-5p and was downregulated in CRC ***,ULK2 inhibited CRC cell proliferation in a p53-dependent ***,exosome-derived miR-224-5p partially reversed the proliferation regulation of ULK2 on CRC *** Our findings demonstrate that exosome-transmitted miR-224-5p promotes p53-dependent cell proliferation by targeting ULK2 in CRC,which may offer promising targets for CRC prevention and therapy.

关键词： miR-224-5p Exosome ULK2 p53 Cell proliferation colorectal cancer