检索结果-内蒙古大学图书馆

Chromosome-scale genome of the human blood fluke Schistosoma mekongi and its implications for public health

Infectious Diseases of Poverty 2023年第6期12卷 34-50页

作者： Minyu Zhou Lian Xu Dahua Xu Wen Chen Jehangir Khan Yue Hu Hui Huang Hang Wei Yiqing Zhang Phiraphol Chusongsang Kanthi Tanasarnprasert Xiang Hu Yanin Limpanont Zhiyue Lv Key Laboratory of Tropical Disease Control Ministry of EducationSun Yat-Sen UniversityGuangzhouChina Department of Pathogen Biology and Biosafety Zhongshan School of MedicineSun Yat-Sen UniversityGuangzhouChina Key Laboratory of Neuroregeneration Ministry of Education and Jiangsu ProvinceCo-Innovation Center of NeuroregenerationNMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology ProductsNantong UniversityNantongChina Key Laboratory of Tropical Translational Medicine of Ministry of Education College of Biomedical Information and EngineeringHainan Medical UniversityHaikouChina Key Laboratory of Vascular Biology and Translational Medicine Medical SchoolHunan University of Chinese MedicineChangshaChina Hainan General Hospital Hainan Afliated Hospital of Hainan Medical UniversityHaikouChina Department of Social and Environmental Medicine Faculty of Tropical MedicineMahidol UniversityBangkokThailand State Key Laboratory of Developmental Biology of Freshwater Fish College of Life SciencesHunan Normal UniversityChangshaChina.

Background Schistosoma mekongi is a human blood fluke causing schistosomiasis that threatens approximately 1.5 million humans in the world. Nonetheless, the limited availableS. mekongi genomic resources have hindered understanding of its biology and parasite-host interactions for disease management and pathogen control. The aim of our study was to integrate multiple technologies to construct a high-quality chromosome-level assembly of theS. mekongi *** The reference genome forS. mekongi was generated through integrating Illumina, PacBio sequencing, 10 × Genomics linked-read sequencing, and high-throughput chromosome conformation capture (Hi-C) methods. In this study, we conducted de novo assembly, alignment, and gene prediction to assemble and annotate the genome. Comparative genomics allowed us to compare genomes across different species, shedding light on conserved regions and evolutionary relationships. Additionally, our transcriptomic analysis focused on genes associated with parasite-snail interactions inS. mekongi infection. We employed gene ontology (GO) enrichment analysis for functional annotation of these *** In the present study, theS. mekongi genome was both assembled into 8 pseudochromosomes with a length of 404 Mb, with contig N50 and scaffold N50 lengths of 1168 kb and 46,759 kb, respectively. We detected that 43% of the genome consists of repeat sequences and predicted 9103 protein-coding genes. We also focused on proteases, particularly leishmanolysin-like metalloproteases (M8), which are crucial in the invasion of hosts by 12 flatworm species. Through phylogenetic analysis, it was discovered that the M8 gene exhibits lineage-specific amplification among the genusSchistosoma. Lineage-specific expansion of M8 was observed in blood flukes. Additionally, the results of the RNA-seq revealed that a mass of genes related to metabolic and biosynthetic processes were upregulated, which might be beneficial for cercaria ***

关键词： Schistosoma mekongi Chromosome-scale genome Protease RNA-seq

来源：评论

学校读者我要写书评

暂无评论

Tunable all-optical logic gates based on nonreciprocal topologically protected edge modes

arXiv

引用

arXiv 2023年

作者： Xu, Jie He, Panpan Feng, Delong Luo, Yamei Fan, Siqiang Yong, Kangle Tsakmakidis, Kosmas L. School of Medical Information and Engineering Southwest Medical University Luzhou646000 China Medical Engineering & Medical Informatics Integration and Transformational Medicine of Luzhou Key Laboratory Luzhou646000 China Luzhou Key Laboratory of Intelligent Control and Application of Electronic Devices Luzhou Vocational & Technical College Luzhou646000 China School of Electrical and Electronic Engineering Luzhou Vocational & Technical College Luzhou646000 China Chongqing Key Laboratory of Photo-Electric Functional Materials Chongqing401331 China Section of Condensed Matter Physics Department of Physics National Kapodistrian University of Athens Panepistimioupolis AthensGR-157 84 Greece

All-optical logic gates have been studied intensively for their potential to enable broadband, low-loss, and high-speed communication. However, poor tunability has remained a key challenge in this field. In this paper, we propose a Y-shaped structure composed of Yttrium Iron Garnet (YIG) layers that can serve as tunable all-optical logic gates, including, but not limited to, OR, AND, and NOT gates, by applying external magnetic fields to magnetize the YIG layers. Our findings demonstrate that these logic gates are based on topologically protected one-way edge modes, ensuring exceptional robustness against imperfections and nonlocal effects while maintaining extremely high precision. Furthermore, the operating band of the logic gates is shown to be tunable. In addition, we introduce a straightforward and practical method for controlling and switching the logic gates between"work","skip", and"stop" modes. These findings have important implications for the design of high-performance and precise all-optical integrated circuits. © 2023, CC BY.

关键词： Logic gates

来源：评论

学校读者我要写书评

暂无评论

Effective Two-Stage Double Auction for Dynamic Resource Trading in Edge Networks via Overbooking

arXiv

引用

arXiv 2025年

作者： Wu, Sicheng Liwang, Minghui Wang, Deqing Wang, Xianbin Wu, Chao Tang, Junyi Li, Li Jiao, Zhenzhen The School of Informatics Xiamen University Fujian China The Department of Control Science and Engineering The National Key Laboratory of Autonomous Intelligent Unmanned Systems Tongji University Shanghai China Frontiers Science Center for Intelligent Autonomous Systems Ministry of Education Tongji University Shanghai China The Department of Electrical and Computer Engineering Western University ON Canada The School of Public Affairs Zhejiang University Hangzhou310027 China School of Information Science and Engineering Lanzhou University Lanzhou China The iF-Labs Beijing Teleinfo Technology Co. Ltd. CAICT China

To facilitate responsive and cost-effective computing resource scheduling and service delivery over edge-assisted mobile networks, this paper investigates a novel two-stage double auction methodology via utilizing an interesting idea of resource overbooking to overcome dynamic and uncertain nature from edge servers (sellers) and demand from mobile devices (as buyers). The proposed auction integrates multiple essential factors such as social welfare maximization and decision-making latency (e.g., the time for determining winning seller-buyer pairs) reduction, by introducing a stagewise strategy: an overbooking-driven pre-double auction (OPDAuction) for determining long-term cooperations between sellers and buyers before practical resource transactions as Stage I, and a real-time backup double auction (RBDAuction) for handling residual resource demands during actual transactions. In particular, by applying a proper overbooking rate, OPDAuction helps with facilitating trading contracts between appropriate sellers and buyers as guidance for future transactions, by allowing the booked resources to exceed supply. Then, since pre-auctions may cause risks, our RBDAuction adjusts to real-time market changes, further enhancing the overall social welfare. More importantly, we offer an interesting view to show that our proposed two-stage auction can support significant design properties such as truthfulness, individual rationality, and budget balance. Through extensive experiments, we demonstrate good performance in social welfare, time efficiency, and computational scalability, outstripping conventional methods in dynamic edge computing settings. Copyright © 2025, The Authors. All rights reserved.

关键词： Budget control

来源：评论

学校读者我要写书评

暂无评论

Research and Application of Thermosensitive Pickering Emulsion with X-Ray and Ultrasound Dual-Modal Imaging Functions for Intra-Arterial Embolization Treatment

SSRN

引用

SSRN 2024年

作者： Li, Ling Guo, Anran Sun, Haixia Chen, Ning Yao, Qing Zhang, Ling Shi, Peng Tian, Hongan Zheng, Min School of Biomedical Engineering and Imaging Xianning Medical College Hubei University of Science and Technolog Xianning437100 China Department of Radiology Xianning Central Hospital The First Affiliated Hospital of Hubei University of Science and Technology Xianning China School of Biomedical Sciences and Engineering Guangzhou International Campus South China University of Technology Guangzhou511442 China School of Pharmacy Xianning Medical College Hubei University of Science and Technology Xianning437100 China Hubei Key Laboratory of Diabetes and Angiopathy Medicine Research Institute Xianning Medical College Hubei University of Science and Technology Hubei Xianning China Key Laboratory of Optoelectronic Information and Intelligent Control Hubei University of Science and Technology Xianning437100 China

Transcatheter arterial embolization (TAE) is the mainstay for treating advanced hepatocellular carcinoma (HCC), and the performance of the embolization material is crucial in TAE. With the development of medical imaging and the birth of "X-ray-free" technologies, we designed a new dual-mode imaging material of dimethoxy tetraphenyl ethylene (DMTPE) via emulsification by mixing PNA with lipiodol and fluorocarbons, which was evaluated for temperature sensitivity, stability, and dual-mode visualization in vitro. Furthermore, blood-vessel-casting embolization and renal artery imaging were evaluated in normal rabbits. Using VX2 tumor-bearing rabbit model, the therapeutic efficacy of TAE on HCC was investigated for long-term embolic outcomes and tumor growth, necrosis, and proliferation using imaging. In vitro experiments confirmed that DMTPE had good flow, stability contrast, and embolism when the oil phase ratio and water to oil ratio were both 7:3 and stabilized with 8 wt.% PNA. Similarly, in vivo arterial embolization confirmed the excellent properties of DMTPE prepared in the abovementioned ratios. We observed that DMTPE not only has an antitumor effect but also can achieve dual imaging using X-rays and ultrasound, promising to be an excellent vascular embolization material for TAE in tumor treatment. © 2024, The Authors. All rights reserved.

关键词： Ethylene

来源：评论

学校读者我要写书评

暂无评论

A Novel Two-Stage Framework for 2D/3D Registration in Neurological Interventions

A Novel Two-Stage Framework for 2D/3D Registration in Neurol...

引用

2022 IEEE International Conference on Robotics and Biomimetics, ROBIO 2022

作者： Huang, De-Xing Zhou, Xiao-Hu Xie, Xiao-Liang Liu, Shi-Qi Feng, Zhen-Qiu Hao, Jian-Long Hou, Zeng-Guang Ma, Ning Yan, Long The State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China The School of Artificial Intelligence University of Chinese Academy of Sciences Beijing100049 China The School of Information Shanxi University of Finance and Economics Taiyuan030006 China The CAS Center for Excellence in Brain Science and Intelligence Technology Beijing100190 China The Joint Laboratory of Intelligence Science and Technology Institute of Systems Engineering Macau University of Science and Technology Taipa China The Department of Interventional Neuroradiology Beijing Tiantan Hospital Capital Medical University Beijing100070 China

ISBN: (纸本)9781665481090

2D/3D medical image registration of pre-operative volumes and intra-operative images plays an important role in neurological interventions. However, vast space of transformation parameters makes this task incredibly challenging. In this paper, a novel two-stage framework for 2D/3D registration is proposed. It consists of two basic modules: CNN regression for preliminarily estimating transformation parameters, and centroid alignment for further reducing estimation errors to get refined images. Experimental results on two patients show the proposed framework can achieve superior performances to baseline methods with an inference rate of 22 FPS, satisfying real-time requirements (612 FPS) in clinical practice. Extensive ablation studies prove the effectiveness of centroid alignment in significantly improving registration accuracies. These promising results indicate the framework has the potential to be integrated into navigation frameworks for neurological interventions, facilitating treatments of physicians. © 2022 IEEE.

关键词： medical imaging

来源：评论

学校读者我要写书评

暂无评论

Dermoscopic Image Classification Using Attention Mechanism and Ensemble Learning Approaches

Dermoscopic Image Classification Using Attention Mechanism a...

引用

IEEE International Conference on Big Data

作者： Shanchuan Huang Hongwei Lei Liuhan Jin Jinzhu Yang Tao Jiang Yudong Yao Marcin Grzegorzek Chen Li Microscopic Image and Medical Image Analysis Group College of Medicine and Biological Information Engineering Northeastern University China Key Laboratory of Intelligent Computing in Medical Image Ministry of Education Northeastern University Shenyang Liaoning China School of Intelligent Medicine Chengdu University of Traditional Chinese Medicine Chengdu China Department of Electrical and Computer Engineering Stevens Institute of Technology USA Institute of Medical Informatics University of Luebeck Luebeck Germany

Background and purpose: Skin tumours have become one of the most common diseases worldwide. While benign ones are not usually a threat to human health, malignant ones can develop into skin cancer and become life-threatening if left untreated. Early detection of the disease is important for the treatment of patients with skin tumours and dermoscopy is the most effective means of diagnosing skin tumours. However, the complexity of skin tumour cells makes the diagnosis somewhat erroneous for doctors. Therefore, a dermoscopic classification network based on deep learning and computer-aided diagnostic techniques is needed to obtain a high diagnostic accuracy rate for skin tumours. Methods: In this paper, Deep-skin, a model for dermoscopic image classification is proposed, which is based on both attention mechanism and ensemble learning. Considering the characteristics of dermoscopic images, embedding different attention mechanisms on top of Inception-V3 has been suggested to obtain more potential features. We then improve the classification performance by late fusion of the different models. To demonstrate the effectiveness of Deep-skin, experiments and evaluations are performed on the publicly available dataset Skin Cancer: Malignant vs. Benign and compare the performance of Deep-skin with other classification models. Results: The experimental results indicate that Deep-skin performs well on the dataset in comparison to other models, achieving a maximum accuracy of 87.8%.Conclusion: In this paper, the Deep-skin model is proposed for the classification of dermoscopic images and has shown better performance. In the future, we intend to investigate better classification models for automatic diagnosis of skin tumours. Such models can potentially assist physicians and patients in clinical settings.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Evaluation of Robustness Metrics for Defense of Machine Learning Systems

Evaluation of Robustness Metrics for Defense of Machine Lear...

引用

International Conference on Military Communications and information Systems (ICMCIS)

作者： J. DeMarchi R. Rijken J. Melrose B. Madahar G. Fumera F. Roli E. Ledda M. Aktaş F. Kurth P. Baggenstoss B. Pelzer L. Kanestad Collaborative Engineering Systems & Aerospace Systems Information Supremacy Royal Netherlands Aerospace Centre NLR Amsterdam NLD Cyber & Information Systems Division Defence Science and Technology Laboratory Portondown GBR Department of Electrical and Electronic Engineering University of Cagliari Cagliari ITA Department of Informatics Bioengineering Robotics and Systems Engineering University of Genoa Genoa ITA Department of Computer Control and Management Engineering Sapienza University of Rome Rome ITA Defence Systems Technologies Division ASELSAN Ankara TUR Fraunhofer Institute for Communication Information Processing and Ergonomics Bonn DEU Swedish Defence Research Agency Cyber Defence and C2 Technology Division Stockholm SWE

In this paper we explore some of the potential applications of robustness criteria for machine learning (ML) systems by way of tangible “demonstrator” scenarios. In each demonstrator, ML robustness metrics are applied to real-world scenarios with military relevance, indicating how they might be used to help detect and handle possible adversarial attacks on ML systems. We conclude by sketching promising future avenues of research in order to: (1) help establish useful verification methodologies to facilitate ML robustness compliance assessment; (2) support development of ML accountability mechanisms; and (3) reliably detect, repel, and mitigate adversarial attack.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Challenges in Implementing ICT Rehabilitation Environments in Real Clinical Practice

Challenges in Implementing ICT Rehabilitation Environments i...

引用

IEEE International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI)

作者： Valentina Tibollo Lucia Sacchi Alberto Malovini Anna Giardini Giovanni D'Addio Christian Lunetta Laboratory of Medical Informatics and Artificial Intelligence Istituti Clinici Scientifici Maugeri IRCCS Pavia Italy Dept of Electrical Computer and Biomedical Engineering University of Pavia Pavia Italy Information Technology Department Istituti Clinici Scientifici Maugeri IRCCS Pavia Italy Bioengineering Unit Istituti Clinici Scientifici Maugeri IRCCS Pavia Italy Dept of Rehabilitative Neurology Department Istituti Clinici Scientifici Maugeri IRCCS Pavia Italy

ISBN: (数字)9798350362138

ISBN: (纸本)9798350362145

Fit for medical Robotics funded under the National Recovery and Resilience Plan, aims to transform current rehabilitation and assistive models for individuals of all ages with impaired motor, sensory, or cognitive functions. The project seeks to achieve this through the implementation of innovative biorobotic technologies and related digital solutions, alongside new continuum of care paradigms. A key element is the full exploitation of information and communication technology (ICT) across all stages of rehabilitation, ranging from prevention to at-home care during the chronic phase. Within this framework, it is crucial to assess the potentialities, challenges, and potential barriers associated with integrating interventions based on advanced technologies into real-world rehabilitation practices.

关键词： Technological innovation Collaboration medical services Transforms Strategic planning Robot sensing systems information and communication technology Stakeholders Standards Resilience

来源：评论

学校读者我要写书评

暂无评论

AI-based Automatic Segmentation of Prostate on Multi-modality Images: A Review

arXiv

引用

arXiv 2024年

作者： Jin, Rui Li, Derun Xiang, Dehui Zhang, Lei Zhou, Hailing Shi, Fei Zhu, Weifang Cai, Jing Peng, Tao Chen, Xinjian School of Future Science and Engineering Soochow University Suzhou China Department of Urology Peking University First Hospital Xicheng District Beijing100034 China MIPAV Lab The School of Electronic and Information Engineering Soochow University Jiangsu China Graduate Program of Medical Physics and Data Science Research Center Duke Kunshan University Jiangsu Kunshan215316 China Department of Mechanical Engineering and Product Design Engineering Swinburne University of Technology Melbourne Australia Department of Health Technology and Informatics The Hong Kong Polytechnic University Hong Kong Department of Radiation Oncology UT Southwestern Medical Center DallasTX United States The State Key Laboratory of Radiation Medicine and Protection Soochow University Jiangsu China

Prostate cancer represents a major threat to health. Early detection is vital in reducing the mortality rate among prostate cancer patients. One approach involves using multi-modality (CT, MRI, US, etc.) computer-aided diagnosis (CAD) systems for the prostate region. However, prostate segmentation is challenging due to imperfections in the images and the prostate’s complex tissue structure. The advent of precision medicine and a significant increase in clinical capacity have spurred the need for various data-driven tasks in the field of medical imaging. Recently, numerous machine learning and data mining tools have been integrated into various medical areas, including image segmentation. This article proposes a new classification method that differentiates supervision types, either in number or kind, during the training phase. Subsequently, we conducted a survey on artificial intelligence (AI)-based automatic prostate segmentation methods, examining the advantages and limitations of each. Additionally, we introduce variants of evaluation metrics for the verification and performance assessment of the segmentation method and summarize the current challenges. Finally, future research directions and development trends are discussed, reflecting the outcomes of our literature survey, suggesting high-precision detection and treatment of prostate cancer as a promising avenue. Impact Statement — Prostate cancer remains a significant health threat, necessitating early detection to reduce mortality rates. Current diagnostic approaches, particularly in medical imaging, face challenges in accurate prostate segmentation due to the organ's complex structure and imaging imperfections. Our review paper delves into AI-based automatic segmentation methods across various imaging modalities (CT, MRI, US), emphasizing their strengths, weaknesses, and the specific challenges they address. By classifying segmentation techniques based on supervision levels, we provide a comprehensive analys

关键词： Computer aided diagnosis

来源：评论

学校读者我要写书评

暂无评论

Robust light bullets in Rydberg gases with moiré lattice

arXiv

引用

arXiv 2023年

作者： Li, Ze-Yang Li, Jun-Hao Zhao, Yuan Cui, Jin-Long He, Jun-Rong Ruan, Guo-Long Malomed, Boris A. Xu, Si-Liu School of Electronics and Information Engineering Hubei University of Science and Technology Xianning437100 China Laboratory of Optoelectronic Information and Intelligent Control Hubei University of Science and Technology Xianning437100 China School of Biomedical Engineering and Medical Imaging Xianning Medical College Hubei University of Science and Technology Xianning437100 China Department of Physical Electronics School of Electrical Engineering Faculty of Engineering Tel Aviv University P.O.B. 39040 Ramat Aviv Tel Aviv Israel Instituto de Alta Investigación Universidad de Tarapacá Casilla 7D Arica Chile

Rydberg electromagnetically-induced transparency has been widely studied as a medium supporting light propagation under the action of nonlocal nonlinearities. Recently, optical potentials based on moiré lattices (MLs) were introduced for exploring unconventional physical states. Here, we predict a possibility of creating fully three-dimensional (3D) light bullets (LBs) in cold Rydberg gases under the action of ML potentials. The nonlinearity includes local self-defocusing and long-range focusing terms, the latter one induced by the Rydberg-Rydberg interaction. We produce zero-vorticity LB families of the fundamental, dipole, and quadrupole types, as well as vortex LBs. They all are gap solitons populating finite bandgaps of the underlying ML spectrum. Stable subfamilies are identified utilizing the combination of the anti-Vakhitov-Kolokolov criterion, computation of eigenvalues for small perturbations, and direct simulations. Copyright © 2023, The Authors. All rights reserved.

关键词： Eigenvalues and eigenfunctions

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：