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10th International Conference on Big data Computing and Communications, BIGCOM 2024

作者： Yuan, Qingmin Liu, Yingjian Liu, Wenbin Wang, ruoyu Liu, Jinhui Guo, Zhongwen Department of Computer Science and Technology Ocean University of China Qingdao China

ISBN: (纸本)9798331509538

With the rapid advancement of space communication technology, the integrated space-air-ground-sea network demonstrates tremendous potential applications in various fields. Particularly in remote areas where traditional base station is almost unable to be established, satellite communication provides an optimal solution to address communication difficulties. Meanwhile, the continuous expansion of data scale makes the traditional end-to-end transmission mode of TCP/IP unsuitable to satellite communication. To address this issue, this paper proposes a multi-layer Satellite Internet of Things (SIoT) architecture based on Information-Centric Networking (ICN) and Software-defined Networking (SdN) technologies, namely Information-defined Satellite Network (IdSN). In the designs of satellite routing networks and ground-to-ground networks, the controller primarily integrates with ICN at the application layer, developing ICN-related services such as name resolution, name routing, and content caching to achieve intelligent data management. To enhance the compatibility of network infrastructure, IP protocol is reused, enabling effective differentiation between ICN request and IP request in the OpenFlow protocol. Layered and distributed controller deployment, and layered naming make the architecture more intelligent. Experimental results illustrate that the proposed framework can efficiently realize ICN caching features while simultaneously reducing latency. © 2024 IEEE.

关键词： Satellite communication systems

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Novel freeze drying based technologies for production and development of healthy snacks and meal replacement products with special nutrition and function: A review

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drYING TECHNOLOGY 2022年第8期40卷 1582-1597页

作者： Chen, Kai Zhang, Min Bhandari, Bhesh Sun, Jincai Chen, Jingjing Jiangnan Univ State Key Lab Food Sci & Technol Wuxi Jiangsu Peoples R China Jiangnan Univ Jiangsu Prov Key Lab Adv Food Mfg Equipment & Tec Wuxi Jiangsu Peoples R China Univ Queensland Sch Agr & Food Sci Brisbane Qld Australia Zhejiang Pharmaceut Coll Ningbo Zhejiang Peoples R China Haitong Food Grp Co Cixi Zhejiang Peoples R China

due to the increased knowledge of nutrients and functional ingredients for their positive effects on health, people are tending to choose healthy food products including the snacks rich in these nutrients and ingredients. Healthy meal replacement products, which are calorie-controlled, nutritionally-balanced or/and functionally-fortified "meals," are another food product that meets people's health needs. Novel processing technologies enable the production of new products meeting the expectations of consumers. Among these technologies, freeze drying based processing technologies are especially suitable for producing products containing abundant nutrients and functional ingredients due to the drying environment with lower temperature and oxygen content. In this paper, the characteristics of freeze drying and the novel processing technologies based on freeze drying applied to produce healthy snacks and meal replacement products are critically reviewed, the new freeze dried healthy snacks and meal replacement products enriched with special nutrition and function are also discussed.

关键词： Freeze drying based processing technologies healthy snacks meal replacement products nutrition function

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An Energy Efficiency resource Allocation Scheme for Mobile Edge Computing 15

An Energy Efficiency Resource Allocation Scheme for Mobile E...

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15th International Conference on Information and Communication Technology Convergence, ICTC 2024

作者： Liu, Kang Zhang, Zaichen dang, Jian Wu, Liang School of Information Science and Engineering Southeast University Nanjing China Purple Mountain Laboratories Nanjing China

ISBN: (纸本)9798350364637

This paper proposes a new energy-efficient scheme for a mobile edge computing (MEC) related wireless communication system. Specifically, a new energy efficiency model is proposed that computation energy con-sumption is considered. In this paper, computation energy is defined as the rate related energy used to provide the computing power in the information processing. Based on the model, we further formulate an optimization problem to maximize the weighted sum energy efficiency (WSEE) of all MEC servers. By applying the dual problem and the iterative methods, the optimization problem is solved and we present an energy-efficient allocation scheme. The simu-lation result shows the influence of the computation energy consumption on the system energy efficiency analysis. In addition, the result shows that the proposed allocation scheme outperforms both average allocation scheme and water-filling scheme. © 2024 IEEE.

关键词： computation energy consumption Energy efficiency energy-efficient allocation scheme mobile edge computing

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NLrP3 inflammasome activation and NETosis positively regulate each other and exacerbate proinflammatory responses:implications of NETosis inhibition for acne skin inflammation treatment

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Cellular & Molecular Immunology 2024年第5期21卷 466-478页

作者： Hyo Jeong Kim Yun Sang Lee Bok-Soon Lee Chang-Hak Han Sang Gyu Kim Chul-Ho Kim Department of Otolaryngology School of MedicineAjou UniversitySuwonRepublic of Korea Department of Molecular Science and Technology Ajou UniversitySuwonRepublic of Korea

Inflammasomes are multiprotein complexes involved in the host immune response to pathogen ***,inflammasomes participate in many conditions,such as ***,it was shown that NETosis,a type of neutrophil cell death,is induced by bacterial infection and is involved in inflammatory diseases such as delayed wound healing in patients with ***,the relationship between inflammasomes and NETosis in the pathogenesis of inflammatory diseases has not been well *** this study,we determined whether NETosis is induced in ***-induced skin inflammation and whether activation of the nucleotide-binding domain,leucine-rich family,and pyrin domain-containing-3(NLrP3)inflammasome is one of the key factors involved in NETosis induction in a mouse model of acne skin *** found that NETosis was induced in ***-induced skin inflammation in mice and that inhibition of NETosis ameliorated ***-induced skin *** addition,our results demonstrated that inhibiting inflammasome activation could suppress NETosis induction in mouse *** results indicate that inflammasomes and NETosis can interact with each other to induce ***-induced skin inflammation and suggest that targeting NETosis could be a potential treatment for inflammasome-mediated diseases as well as NETosis-related diseases.

关键词： P.acnes NETosis NLrP3 inflammasome Skin inflammation

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Imputing spatial transcriptomics through gene network constructed from protein language model

COMMUNICATIONS BIOLOGY

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COMMUNICATIONS BIOLOGY 2024年第1期7卷 1271页

作者： Zeng, Yuansong Song, Yujie Zhang, Chengyang Li, Haoxuan Zhao, Yongkang Yu, Weijiang Zhang, Shiqi Zhang, Hongyu dai, Zhiming Yang, Yuedong Chongqing Univ Sch Big Data & Software Engn Chongqing Peoples R China Sun Yat Sen Univ Sch Comp Sci & Engn Guangzhou Peoples R China Jinfeng Lab Chongqing Peoples R China

Image-based spatial transcriptomic sequencing technologies have enabled the measurement of gene expression at single-cell resolution, but with a limited number of genes. Current computational approaches attempt to overcome these limitations by imputing missing genes, but face challenges regarding prediction accuracy and identification of cell populations due to the neglect of gene-gene relationships. In this context, we present stImpute, a method to impute spatial transcriptomics according to reference scrNA-seq data based on the gene network constructed from the protein language model ESM-2. Specifically, stImpute employs an autoencoder to create gene expression embeddings for both spatial transcriptomics and scrNA-seq data, which are used to identify the nearest neighboring cells between scrNA-seq and spatial transcriptomics datasets. According to the neighbored cells, the gene expressions of spatial transcriptomics cells are imputed through a graph neural network, where nodes are genes, and edges are based on cosine similarity between the ESM-2 embeddings of the gene-encoding proteins. The gene prediction uncertainty is further measured through a deep learning model. stImpute was shown to consistently outperform state-of-the-art methods across multiple datasets concerning imputation and clustering. stImpute also demonstrates robustness in producing consistent results that are insensitive to model parameters. stImpute imputes missing genes in spatial transcriptomics using scrNA-seq data and a gene network constructed from the protein language model ESM-2, achieving high accuracy and robust clustering through a graph neural network and deep learning based uncertainty measurement.

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Light Source Attacks on CMOS-Based QrNGs 4

Light Source Attacks on CMOS-Based QRNGs

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4th International Computational Imaging Conference, CITA 2024

作者： Zhang, Beibei Li, Lang Xu, Yuehan Wang, Tao Zeng, Guihua State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong University Shanghai200240 China

ISBN: (纸本)9781510688834

QrNGs, which leverage quantum mechanical principles to generate random numbers, are widely utilized in information security and cryptography. This paper reviews various QrNG systems and their evolution, with a particular focus on the simple and efficient CMOS-based QrNG system. However, while current random number generation methods ensure randomness, they do not guarantee the security of the generated random numbers, especially in encryption applications. The results demonstrate that an attacker can manipulate the light source to inject attack signals, leading to an increase in the entropy value calculated by legitimate users. This allows the attacker to extract additional entropy information. Notably, the compromised random numbers still pass the NIST randomness tests, indicating a fundamental breach of the system's security. This paper proposes strategies for identifying and defending against such potential attacks, with the aim of enhancing the reliability and security of QrNG systems. © 2025 SPIE.

关键词： CMOS integrated circuits

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User Experience & Usability of driving: A Bibliometric Analysis of 2000-2019

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INTErnational JOUrNAL OF HUMAN-COMPUTEr INTErACTION 2021年第4期37卷 297-307页

作者： Tan, Hao Sun, Jiahao Wenjia, Wang Zhu, Chunpeng Hunan Univ State Key Lab Adv Design & Mfg Vehicle Body Changsha Peoples R China Hunan Univ Sch Design Changsha 410082 Peoples R China

driving is the most complex human-computer interaction for many individuals. The user experience (UX) and usability of driving are key issues in determining driving safety and user acceptance. Therefore several studies on both issues have been performed toward formulating beneficial driver-vehicle interactions and for future intelligent vehicles and autonomous environments. To provide an insight into these studies, this present study conducts bibliometric analyses to obtain information about when and where the research was conducted by whom and how mainstream content has evolved over the years. BibExcel and CiteSpace were utilized for the performance and co-word network analyses. A total of 2498 documents from 2000- 2019 in the field were filtered from the "Core Set" of Web of Science (WoS) for quantitative analysis. This study offers researchers a comprehensive understanding of UX and usability of driving studies in the last decades and research directions for the future.

关键词： User interfaces

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A Fuzzy Fusion Approach for the Prediction of Position and Orientation in robot-Assisted Cardiovascular Surgery 5

A Fuzzy Fusion Approach for the Prediction of Position and O...

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5th International Conference on robotics and Computer Vision, ICrCV 2023

作者： Hu, Zhi Sun, Liyan Song, Aiguo School of Instrument Science and Engineering Southeast University Nanjing China Laboratory of Intelligent Control and Robotics Shanghai University of Engineering Science Shanghai China

ISBN: (纸本)9798350326369

To assist doctors in cardiovascular intervention, the use of robots in surgery can effectively separate interventionalists from X-ray radiation, prevent the spread of respiratory diseases, perform remote operations to alleviate the regional imbalance of medical resources and address some procedural challenges. However, a lack of force feedback in human computer interaction of current surgical robots affects surgical efficiency and safety. In cardiovascular surgery, the catheter bends and twists as it is the dynamic multipoint line contact with the vessel. It is difficult to accurately model and register it. In addition, time delay affects system transparency. This paper proposes a multi-information fuzzy fusion approach that is based on medical experience in order to predict position and orientation online. More specifically, Fitts law is developed with a two-motion collaborative to estimate the surgical movement time. Experimental results reveal that the proposed method can result in high system transparency in robot-assisted cardiovascular surgery. It could further improve accuracy and security in surgical procedures. © 2023 IEEE.

关键词： Forecasting

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Emerging landscapes of nanosystems based on pre-metastatic microenvironment for cancer theranostics

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Chinese Chemical Letters 2022年第9期33卷 4157-4168页

作者： Yongchao Chu Tao Sun Chen Jiang Key Laboratory of Smart Drug Delivery(Ministry of Education) Minhang HospitalState Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain ScienceInstitutes of Brain ScienceDepartment of PharmaceuticsSchool of PharmacyResearch Center on Aging and MedicineFudan UniversityShanghai 201203China

The emergence of disseminated metastasis is the leading cause of mortality in patients with malignant *** pre-metastatic microenvironment,including the primary tumor-derived components,pre-metastatic niche(PMN),circulating tumor cells(CTCs),micro-metastases,and tumor immune microenvironment(TIM),are the crucial factors to initiate metastasis and form *** may be a more promising strategy for directly targeting pre-metastatic microenvironment-interrelated factors and cells before they have the chance to form secondary tumors to prevent *** recent years,a variety of nanosystems,with specific microstructures and functional properties,have been devised to selectively target pre-metastatic cells components and interrelated molecular,and exhibited strong potential on anti-metastatic therapy by absorbing and neutralizing primary tumor-derived components,preventing establishment of the PMN,eliminating the CTCs,eradicating the micro-metastases and modulating the *** this review,we comprehensively review the emerging nanosystems based on the pre-metastatic ***,this review can cast new lights for early preventing and attenuating metastatic progression.

关键词： Circulating tumor cells Pre-metastatic niche Cancer metastasis Tumor immune microenvironment Micro-metastasis

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deep Learning-Assisted Label-Free Parallel Cell Sorting with digital Microfluidics

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AdVANCEd SCIENCE 2025年第1期12卷 e2408353页

作者： Guo, Zongliang Li, Fenggang Li, Hang Zhao, Menglei Liu, Haobing Wang, Haopu Hu, Hanqi Fu, rongxin Lu, Yao Hu, Siyi Xie, Huikai Ma, Hanbin Zhang, Shuailong Beijing Inst Technol Beijing Adv Innovat Ctr Intelligent Robots & Syst Sch Mechatron Engn Beijing 100081 Peoples R China Beijing Inst Technol Sch Med Technol Beijing 100081 Peoples R China Beijing Inst Technol Engn Res Ctr Integrated Acousto Optoelect Microsys Sch Integrated Circuits & Elect Minist Educ China Beijing 100081 Peoples R China Chinese Acad Sci Suzhou Inst Biomed Engn & Technol CAS Key Lab Biomed Diagnost Suzhou 215163 Peoples R China ACX Instruments Ltd St Johns Innovat Ctr Cambridge CB40WS England

Sorting specific cells from heterogeneous samples is important for research and clinical applications. In this work, a novel label-free cell sorting method is presented that integrates deep learning image recognition with microfluidic manipulation to differentiate cells based on morphology. Using an Active-Matrix digital Microfluidics (AM-dMF) platform, the YOLOv8 object detection model ensures precise droplet classification, and the Safe Interval Path Planning algorithm manages multi-target, collision-free droplet path planning. Simulations and experiments revealed that detection model precision, concentration ratios, and sorting cycles significantly affect recovery rates and purity. With HeLa cells and polystyrene beads as samples, the method achieved 98.5% sorting precision, 96.49% purity, and an 80% recovery over three cycles. After a series of experimental validations, this method can also be used to sort HeLa cells from red blood cells, cancer cells from white blood cells (represented by HeLa and Jurkat cells), and differentiate white blood cell subtypes (represented by HL-60 cells and Jurkat cells). Cells sorted using this method can be lysed directly on chip within their hosting droplets, ensuring minimal sample loss and suitability for downstream bioanalysis. This innovative AM-dMF cell sorting technique holds significant potential to advance diagnostics, therapeutics, and fundamental research in cell biology.

关键词： artificial intelligence cell sorting digital microfluidics droplet single cell research label-free

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