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Magnetically controllable multimode interference in topological photonic crystals

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Light(Science & Applications) 2024年第5期13卷 998-1005页

作者： Weiyuan Tang Mudi Wang Shaojie Ma Che Ting Chan Shuang Zhang New Cornerstone Science Laboratory Department of PhysicsThe University of Hong KongHong KongChina. Department of Physics The Hong Kong University of Science and TechnologyHong KongChina. Department of Optical Science and Engineering Fudan UniversityShanghai 200433China

Topological photonic insulators show promise for applications in compact integrated photonic circuits due to their ability to transport light robustly through sharp bendings.The number of topological edge states relies on the difference between the bulk Chern numbers across the boundary,as dictated by the bulk edge correspondence.The interference among multiple topological edge modes in topological photonics systems may allow for controllable functionalities that are particularly desirable for constructing reconfigurable photonic devices.In this work,we demonstrate magnetically controllable multimode interference based on gyromagnetic topological photonic insulators that support two unidirectional edge modes with different dispersions.We successfully achieve controllable power splitting in experiments by engineering multimode interference with the magnetic field intensity or the frequency of wave.Our work demonstrates that manipulating the interference among multiple chiral edge modes can facilitate the advancement of highly efficient and adaptable microwave devices.

关键词： multimode controllable microwave

Artificial intelligence-driven radiomics study in cancer:the role of feature engineering and modeling

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Military Medical Research 2024年第1期11卷 115-147页

作者： Yuan-Peng Zhang Xin-Yun Zhang Yu-Ting Cheng Bing Li Xin-Zhi Teng Jiang Zhang Saikit Lam Ta Zhou Zong-Rui Ma Jia-Bao Sheng Victor CWTam Shara WYLee hong Ge Jing Cai Department of Medical Informatics Nantong UniversityNantong 226001JiangsuChina Department of Health Technology and Informatics the Hong Kong Polytechnic UniversityHong Kong 999077China The hong kong Polytechnic University Shenzhen Research Institute Shenzhen 518000GuangdongChina Department of Radiation Oncology the Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer HospitalZhengzhou 450008China

Modern medicine is reliant on various medical imaging technologies for non-invasively observing patients’anatomy.However,the interpretation of medical images can be highly subjective and dependent on the expertise of clinicians.Moreover,some potentially useful quantitative information in medical images,especially that which is not visible to the naked eye,is often ignored during clinical practice.In contrast,radiomics performs high-throughput feature extraction from medical images,which enables quantitative analysis of medical images and prediction of various clinical endpoints.Studies have reported that radiomics exhibits promising performance in diagnosis and predicting treatment responses and prognosis,demonstrating its potential to be a non-invasive auxiliary tool for personalized medicine.However,radiomics remains in a developmental phase as numerous technical challenges have yet to be solved,especially in feature engineering and statistical modeling.In this review,we introduce the current utility of radiomics by summarizing research on its application in the diagnosis,prognosis,and prediction of treatment responses in patients with cancer.We focus on machine learning approaches,for feature extraction and selection during feature engineering and for imbalanced datasets and multi-modality fusion during statistical modeling.Furthermore,we introduce the stability,reproducibility,and interpretability of features,and the generalizability and interpretability of models.Finally,we offer possible solutions to current challenges in radiomics research.

关键词： Artificial intelligence Radiomics Feature extraction Feature selection Modeling Interpretability Multimodalities Head and neck cancer

Stability and Generalization of Hypergraph Collaborative Networks

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Machine Intelligence Research 2024年第1期21卷 184-196页

作者： Michael K.Ng Hanrui Wu Andy Yip Institute of Data Science The University of Hong KongHong KongChina Department of Mathematics The University of Hong KongHong KongChina College of Information Science and Technology Jinan UniversityGuangzhou 510006China

Graph neural networks have been shown to be very effective in utilizing pairwise relationships across samples.Recently,there have been several successful proposals to generalize graph neural networks to hypergraph neural networks to exploit more com-plex relationships.In particular,the hypergraph collaborative networks yield superior results compared to other hypergraph neural net-works for various semi-supervised learning tasks.The collaborative network can provide high quality vertex embeddings and hyperedge embeddings together by formulating them as a joint optimization problem and by using their consistency in reconstructing the given hy-pergraph.In this paper,we aim to establish the algorithmic stability of the core layer of the collaborative network and provide generaliz--ation guarantees.The analysis sheds light on the design of hypergraph filters in collaborative networks,for instance,how the data and hypergraph filters should be scaled to achieve uniform stability of the learning process.Some experimental results on real-world datasets are presented to illustrate the theory.

关键词： Hypergraphs vertices hyperedges collaborative networks graph convolutional neural networks(CNNs) stability generalization guarantees

Untethered Micro/Nanorobots for Remote Sensing:Toward Intelligent Platform

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Nano-Micro Letters 2024年第2期16卷 450-483页

作者： Qianqian Wang Shihao Yang Li Zhang Jiangsu Key Laboratory for Design and Manufacture of Micro‑Nano Biomedical Instruments School of Mechanical EngineeringSoutheast UniversityNanjing 211189People’s Republic of China Department of Mechanical and Automation Engineering The Chinese University of Hong KongShatinHong Kong 999077People’s Republic of China Chow Yuk Ho Technology Centre for Innovative Medicine The Chinese University of Hong KongShatinHong Kong 999077People’s Republic of China T Stone Robotics Institute The Chinese University of Hong KongShatinHong Kong 999077People’s Republic of China Department of Surgery The Chinese University of Hong KongShatinHong Kong 999077People’s Republic of China

Untethered micro/nanorobots that can wirelessly control their motion and deformation state have gained enormous interest in remote sensing applications due to their unique motion characteristics in various media and diverse functionalities.Researchers are developing micro/nanorobots as innovative tools to improve sensing performance and miniaturize sensing systems,enabling in situ detection of substances that traditional sensing methods struggle to achieve.Over the past decade of development,significant research progress has been made in designing sensing strategies based on micro/nanorobots,employing various coordinated control and sensing approaches.This review summarizes the latest developments on micro/nanorobots for remote sensing applications by utilizing the self-generated signals of the robots,robot behavior,microrobotic manipulation,and robot-environment interactions.Providing recent studies and relevant applications in remote sensing,we also discuss the challenges and future perspectives facing micro/nanorobots-based intelligent sensing platforms to achieve sensing in complex environments,translating lab research achievements into widespread real applications.

关键词： Micro/nanorobot Remote sensing Wireless control Self-propulsion Actuation at small scales

Immunoregulatory and Anti-cancer Activities of Combination Treatment of Novel Four-Herb Formula and Doxorubicin in 4T1-breast cancer Bearing Mice

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Chinese Journal of Integrative Medicine 2024年第4期30卷 311-321页

作者： Lea Ling-Yu Kan Ben Chung-Lap Chan Grace Gar-Lee Yue LI Pei-ting Sharon Sze-Man Hon HUANG Dan-qi Miranda Sin-Man Tsang Clara Bik-San Lau Ping-Chung Leung Chun-Kwok Wong Institute of Chinese Medicine The Chinese University of Hong KongHong Kong SARChina State Key Laboratory of Research on Bioactivities and Clinical Applications of Medicinal Plants The Chinese University of Hong KongHong KongChina Department of Chemical Pathology The Chinese University of Hong KongHong Kong SARChina China-Australia International Research Centre for Chinese Medicine School of Health and Biomedical SciencesSTEM CollegeRMIT UniversityBundooraVictoriaAustralia Li Dak Sum Yip Yio Chin R&D Centre for Chinese Medicine The Chinese University of Hong Kong SARHong KongChina

Objective To investigate the in vivo immunomodulatory and anti-tumor mechanisms of the combined treatment of novel Four-Herb formula(4HF)and doxorubicin in triple-negative breast cancer(TNBC).Methods Murine-derived triple-negative mammary carcinoma cell line,4T1 cells,was cultured and inoculated into mouse mammary glands.Sixty-six mice were randomly assigned into 6 groups(n=11 in ench):naive,control,LD 4HF(low dose 4HF),HD 4HF(high dose 4HF),LD 4HF+D(low dose and doxorubicin),and D(doxorubicin).Apart from the naive group,each mouse received subcutaneous inoculation with 5×10^(5)4T1 cells resuspended in 100µL of normal saline in the mammary fat pads.Starting from the day of tumor cell inoculation,tumors were grown for 6 days.The LD and HD groups received daily oral gavage of 658 and 2,630 mg/kg 4HF,respectively.The LD 4HF+D group received daily oral gavage of 658 mg/kg 4HF and weekly intraperitoneal injection of doxorubicin(5 mg/kg).The D group received weekly intraperitoneal injections of doxorubicin(5 mg/kg).The treatment naive mice received daily oral gavage of 0.2 mL double distilled water and 0.1 mL normal saline via intraperitoneal injection once a week.The control group received daily oral gavage of 0.2 mL double-distilled water.The treatment period was 30 days.At the end of treatment,mice organs were harvested to analyze immunological activities via immunophenotyping,gene and multiplex analysis,histological staining,and gut microbiota analysis.Results Mice treated with the combination of 4HF and doxorubicin resulted in significantly reduced tumor and spleen burdens(P<0.05),altered the hypoxia and overall immune lymphocyte landscape,and manipulated gut microbiota to favor the anti-tumor immunological activities.Moreover,immunosuppressive genes,cytokines,and chemokines such as C-C motif chemokine 2 and interleukin-10 of tumors were significantly downregulated(P<0.05).4HF-doxorubicin combination treatment demonstrated synergetic activities and was most effective in activating the anti-tumor immune response(P<

关键词： adjunctivetherapy breast cancer cytokines Chinese medicine tumor microenvironment

Cellular zinc metabolism and zinc signaling:from biological functions to diseases and therapeutic targets

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Signal Transduction and Targeted Therapy 2024年第2期9卷 401-441页

作者： Bonan Chen Peiyao Yu Wai Nok Chan Fuda Xie Yigan Zhang Li Liang Kam Tong Leung Kwok Wai Lo Jun Yu Gary M.K.Tse Wei Kang Ka Fai To Department of Anatomical and Cellular Pathology State Key Laboratory of Translational OncologyPrince of Wales HospitalThe Chinese University of Hong KongHong KongChina State Key Laboratory of Digestive Disease Institute of Digestive DiseaseThe Chinese University of Hong KongHong KongChina CUHK-Shenzhen Research Institute The Chinese University of Hong KongShenzhenChina Department of Pathology Nanfang Hospital and Basic Medical CollegeSouthern Medical UniversityGuangdong Province Key Laboratory of Molecular Tumor PathologyGuangzhouChina Institute of Biomedical Research Taihe HospitalHubei University of MedicineShiyanChina Department of Pediatrics The Chinese University of Hong KongHong KongChina Department of Medicine and Therapeutics The Chinese University of Hong KongHong KongChina

Zinc metabolism at the cellular level is critical for many biological processes in the body.A key observation is the disruption of cellular homeostasis,often coinciding with disease progression.As an essential factor in maintaining cellular equilibrium,cellular zinc has been increasingly spotlighted in the context of disease development.Extensive research suggests zinc’s involvement in promoting malignancy and invasion in cancer cells,despite its low tissue concentration.This has led to a growing body of literature investigating zinc’s cellular metabolism,particularly the functions of zinc transporters and storage mechanisms during cancer progression.Zinc transportation is under the control of two major transporter families:SLC30(ZnT)for the excretion of zinc and SLC39(ZIP)for the zinc intake.Additionally,the storage of this essential element is predominantly mediated by metallothioneins(MTs).This review consolidates knowledge on the critical functions of cellular zinc signaling and underscores potential molecular pathways linking zinc metabolism to disease progression,with a special focus on cancer.We also compile a summary of clinical trials involving zinc ions.Given the main localization of zinc transporters at the cell membrane,the potential for targeted therapies,including small molecules and monoclonal antibodies,offers promising avenues for future exploration.

关键词： metabolism invasion involvement

Recent advances on bismuth oxyhalides for photocatalytic CO_(2)reduction

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Journal of Environmental Sciences 2024年第6期140卷 183-203页

作者： Liangpang Xu Jimmy C.Yu Ying Wang Department of Chemistry The Chinese University of Hong KongShatinNew TerritoriesHong Kong 999077China

Photocatalytic conversion of CO_(2)into fuels such as CO,CH_(4),and CH_(3)OH,is a promising approach for achieving carbon neutrality.Bismuth oxyhalides(BiOX,where X=Cl,Br,and I)are appropriate photocatalysts for this purpose due to the merits of visible-light-active,efficient charge separation,and easy-to-modify crystal structure and surface properties.For practical applications,multiple strategies have been proposed to develop high-efficiency BiOX-based photocatalysts.This review summarizes the development of different approaches to prepare BiOX-based photocatalysts for efficient CO_(2)reduction.In the review,the fundamentals of photocatalytic CO_(2)reduction are introduced.Then,several widely used modification methods for BiOX photocatalysts are systematacially discussed,including heterojunction construction,introducing oxygen vacancies(OVs),Bi-enrichment,heteroatom-doping,and morphology design.Finally,the challenges and prospects in the design of future BiOX-based photocatalysis for efficient CO_(2)reduction are examined.

关键词： Bismuth oxyhalides Photocatalysis CO_(2)reduction Modification methods

Distributed Nash Equilibrium Seeking on Compact Action Sets over Jointly Strongly Connected Switching Networks

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Journal of Systems Science & Complexity 2024年第1期37卷 63-81页

作者： HE Xiongnan HUANG Jie Department of Mechanical and Automation Engineering The Chinese University of Hong KongHong Kong 999077China.

This paper studies the distributed Nash equilibrium seeking(DNES)problem for games whose action sets are compact and whose network graph is switching satisfying the jointly strongly connected condition.To keep the actions of all players in their action sets all the time,one has to resort to the projected gradient-based method.Under the assumption that the unique Nash equilibrium is the unique equilibrium of the pseudogradient system,an algorithm is proposed that is able to exponentially find the Nash equilibrium.Further,the authors also consider the distributed Nash equilibrium seeking problem for games whose actions are governed by high-order integrator dynamics and belong to some compact sets.Two examples are used to illustrate the proposed approach.

关键词： Compact action sets jointly strongly connected switching graphs Nash equilibrium seeking projected gradient-based algorithm.

Multi-omics analysis of attenuated variant reveals potential evaluation marker of host damaging for SARS-CoV-2 variants

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Science China(Life Sciences) 2024年第1期67卷 83-95页

作者： Guangshan Xie Lin Zhu Siwen Liu Cun Li Xin Diao Yanhao Zhang Xiuli Su Yuanyuan Song Guodong Cao Li Zhong Pui Wang Xiaojuan Liu Bobo Wing-Yee Mok Shusheng Zhang Dong-Yan Jin Jie Zhou honglin Chen Zongwei Cai State Key Laboratory of Environmental and Biological Analysis Hong Kong Baptist UniversityHong Kong SARChina State Key Laboratory for Emerging Infectious Diseases and Department of MicrobiologyLi Ka Shing Faculty of MedicineThe University of Hong KongHong Kong SARChina College of Chemistry Zhengzhou UniversityZhengzhou 450001China School of Biomedical Sciences The University of Hong KongHong Kong SARChina HKBU Shenzhen Institute of Research and Continuing Education Shenzhen 518000China

SARS-CoV-2 continues to threaten human society by generating novel variants via mutation and recombination.The high number of mutations that appeared in emerging variants not only enhanced their immune-escaping ability but also made it difficult to predict the pathogenicity and virulence based on viral nucleotide sequences.Molecular markers for evaluating the pathogenicity of new variants are therefore needed.By comparing host responses to wild-type and variants with attenuated pathogenicity at proteome and metabolome levels,six key molecules on the polyamine biosynthesis pathway including putrescine,SAM,dc-SAM,ODC1,SAMS,and SAMDC were found to be differentially upregulated and associated with pathogenicity of variants.To validate our discovery,human airway organoids were subsequently used which recapitulates SARS-CoV-2 replication in the airway epithelial cells of COVID-19 patients.Using ODC1 as a proof-ofconcept,differential activation of polyamine biosynthesis was found to be modulated by the renin-angiotensin system(RAS)and positively associated with ACE2 activity.Further experiments demonstrated that ODC1 expression could be differentially activated upon a panel of SARS-CoV-2 variants of concern(VOCs)and was found to be correlated with each VOCs’pathogenic properties.Particularly,the presented study revealed the discriminative ability of key molecules on polyamine biosynthesis as a predictive marker for virulence evaluation and assessment of SARS-CoV-2 variants in cell or organoid models.Our work,therefore,presented a practical strategy that could be potentially applied as an evaluation tool for the pathogenicity of current and emerging SARS-CoV-2 variants.

关键词： SARS-CoV-2 multi-omics attenuated variant predictive pathogenic marker polyamine biosynthesis