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Enhanced Precision Therapy of Multiple Myeloma Through Engineered Biomimetic Nanoparticles with Dual Targeting

Engineering 2024年第5期36卷 178-192页

作者： Ruogu Qi Shanshan Wang Jiayi Yu Tianming Lu Zhiqiang Bi Weibo Liu Yuanyuan Guo Yong Bian Jianliang Shen Xuesong Zhang Wenhao Hu School of Medicine Nanjing University of Chinese MedicineNanjing 210023China Laboratory Animal Center Nanjing University of Chinese MedicineNanjing 210023China Key Laboratory of Carcinogenesis and Translational Research Ministry of Education/BeijingDepartment of Radiation OncologyBeijing Cancer HospitalBeijing 100142China Department of Orthopedics The Fourth Medical CenterThe Chinese People’s Liberation Army General HospitalBeijing 100853China State Key Laboratory of Ophthalmology Optometry and Vision ScienceSchool of Biomedical EngineeringWenzhou Medical UniversityWenzhou 325027China

Multiple myeloma(MM)is the second most prevalent hematological *** MM treatment strategies are hampered by systemic toxicity and suboptimal therapeutic *** study addressed these limitations through the development of a potent MM-targeting chemotherapy strategy,which capitalized on the high binding affinity of alendronate for hydroxyapatite in the bone matrix and the homologous targeting of myeloma cell membranes,termed T-PB@*** results from our investigations highlight the considerable bone affinity of T-PB@M,both in vitro and in ***,this material demonstrated a capability for drug release triggered by low pH ***,T-PB@M induced the generation of reactive oxygen species and triggered cell apoptosis through the poly(ADP-ribose)polymerase 1(PARP1)-Caspase-3-B-cell lymphoma-2(Bcl-2)pathway in MM ***,T-PB@M preferentially targeted bone-involved sites,thereby circumventing systemic toxic side effects and leading to prolonged survival of MM orthotopic ***,this designed target-MM nanocarrier presents a promising and potentially effective platform for the precise treatment of MM.

关键词： Multiple myeloma Bortezomib Drug delivery Dual targeting Controlled release

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Advancements in Humanoid Robots: A Comprehensive Review and Future Prospects

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IEEE/CAA Journal of Automatica Sinica 2024年第2期11卷 301-328页

作者： Yuchuang Tong Haotian Liu Zhengtao Zhang IEEE CAS Engineering Laboratory for Intelligent Industrial vision Institute of AutomationChinese Academy of SciencesBeijing 100190China School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China

This paper provides a comprehensive review of the current status, advancements, and future prospects of humanoid robots, highlighting their significance in driving the evolution of next-generation industries. By analyzing various research endeavors and key technologies, encompassing ontology structure,control and decision-making, and perception and interaction, a holistic overview of the current state of humanoid robot research is presented. Furthermore, emerging challenges in the field are identified, emphasizing the necessity for a deeper understanding of biological motion mechanisms, improved structural design,enhanced material applications, advanced drive and control methods, and efficient energy utilization. The integration of bionics, brain-inspired intelligence, mechanics, and control is underscored as a promising direction for the development of advanced humanoid robotic systems. This paper serves as an invaluable resource, offering insightful guidance to researchers in the field,while contributing to the ongoing evolution and potential of humanoid robots across diverse domains.

关键词： Future trends and challenges humanoid robots human-robot interaction key technologies potential applications

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TextFormer: A Query-based End-to-end Text Spotter with Mixed Supervision

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Machine Intelligence Research 2024年第4期21卷 704-717页

作者： Yukun Zhai Xiaoqiang Zhang Xiameng Qin Sanyuan Zhao Xingping Dong Jianbing Shen School of Computer Science Beijing Institute of TechnologyBeijing 100081China Department of Computer vision Technology Baidu Inc.Beijing 100193China

End-to-end text spotting is a vital computer vision task that aims to integrate scene text detection and recognition into a unified *** methods heavily rely on region-of-interest(Rol)operations to extract local features and complex post-processing steps to produce final *** address these limitations,we propose TextFormer,a query-based end-to-end text spotter with a transformer ***,using query embedding per text instance,TextFormer builds upon an image encoder and a text decoder to learn a joint semantic understanding for multitask *** allows for mutual training and optimization of classification,segmentation and recognition branches,resulting in deeper feature sharing without sacrificing flexibility or ***,we design an adaptive global aggregation(AGG)module to transfer global features into sequential features for reading arbitrarilyshaped texts,which overcomes the suboptimization problem of Rol ***,potential corpus information is utilized from weak annotations to full labels through mixed supervision,further improving text detection and end-to-end text spotting *** experiments on various bilingual(i.e.,English and Chinese)benchmarks demonstrate the superiority of our *** on the TDA-ReCTS dataset,TextFormer surpasses the state-of-the-art method in terms of 1-NED by 13.2%.

关键词： End-to-end text spotting arbitrarily-shaped texts transformer mixed supervision multitask modeling.

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Comment on: Observation of peripheral refraction in myopic anisometropia in young adults

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International Journal of Ophthalmology(English edition) 2024年第7期17卷 1385-1386页

作者： Suraj Kumar Chaurasiya Mahendra Singh Pradeep Agarwal Yu-Qin Du Yue-Hua Zhou Ming-Wei Ding Ming-Xu Zhang Yu-Juan Guo Shan-Shan Ge Department of optometry and vision Science CL Gupta Eye InstituteRam Ganga Vihar Phase II(Extn.)MoradabadUttar Pradesh 244001India Department of Paediatric and Neuro Ophthalmology CL Gupta Eye InstituteRam Ganga Vihar Phase II(Extn.)MoradabadUttar Pradesh 244001India Eye School of Chengdu University of TCM Ineye Hospital of Chengdu University of TCMChengdu 610036Sichuan ProvinceChina beijing Ming vision and Ophthalmology Beijing 100010China

Dear Editor,We read with great interest the recently published article titled“Observation of peripheral refraction in myopic anisometropia in young adults”by Du et al[1].The study conducted at the InEye Hospital of Chengdu University of TCM provides valuable insights into the relationship between anisometropia and peripheral refraction in myopic young *** commend the authors for their thorough investigation and adherence to ethical *** the study contributes significantly to our understanding of myopic anisometropia,we would like to draw attention to some limitations that merit consideration for a comprehensive interpretation of the findings.

关键词： Observation young insight

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Sparse convolutional model with semantic expression for waste electrical appliances recognition

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Science China(Technological Sciences) 2024年第9期67卷 2881-2893页

作者： HAN HongGui LIU YiMing LI FangYu DU YongPing Faculty of Information Technology Beijing University of TechnologyBeijing 100124China beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing 100124China Engineering Research Center of Digital Community Ministry of EducationBeijing 100124China beijing Artificial Intelligence Institute and beijing Laboratory for Intelligent Environmental Protection Beijing 100124China

Deep neural networks play an important role in the recognition of waste electrical appliances. However, deep neural network components still lack reliability in decision-making features. To address this problem, a sparse convolutional model with semantic expression(SCMSE) is proposed. First, a low-rank sparse semantic expression component, combining the benefits of residual networks and sparse representation, is adapted to enhance sparse feature extraction and semantic expression. Second, a reliable network architecture is obtained by iterating the optimal sparse solution, enhancing semantic expression. Finally, the results of visualization experiments on the waste electrical appliances dataset demonstrate that the proposed SCMSE can obtain excellent semantic performance.

关键词： sparse convolutional model deep neural network semantic expression visualization computer vision

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Deep Learning Blockchain Integration Framework for Ureteropelvic Junction Obstruction Diagnosis Using Ultrasound Images

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Tsinghua Science and Technology 2024年第1期29卷 1-12页

作者： Yu Guan Pengceng Wen Jianqiang Li Jinli Zhang Xianghui Xie Faculty of Information Technology Beijing University of TechnologyBeijing 100124China beijing Children’s Hospital Affiliated to Capital Medical University Beijing 100020China

UreteroPelvic Junction Obstruction(UPJO)is a common hydronephrosis disease in children that can result in an even progressive loss of renal *** is an economical,radiationless,noninvasive,and high noise preliminary diagnostic step for *** intelligence has been widely applied to medical fields and can greatly assist doctors'diagnostic *** demand for a highly secure network environment in transferring electronic medical data online,therefore,has led to the development of blockchain *** this study,we built and tested a framework that integrates a deep learning diagnosis model with blockchain *** diagnosis model is a combination of an attention-based pyramid semantic segmentation network and a discrete wavelet transformation-processed residual classification *** also compared the performance between benchmark models and our *** diagnosis model outperformed benchmarks on the segmentation task and classification task with MloU=87.93,MPA=93.52,and accuracy=91.77%.For the blockchain system,we applied the InterPlanetary File System protocol to build a secure and private sharing *** framework can automatically grade the severity of UPJO using ultrasound images,guarantee secure medical data sharing,assist in doctors'diagnostic ability,relieve patients'burden,and provide technical support for future federated learning and linkage of the Internet of Medical Things(loMT).

关键词： data mining image processing and computer vision machine learning medical information systems

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Run-and-Tumble Dynamics and Mechanotaxis Discovered in Microglial Migration

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Research 2024年第2期2023卷 95-103页

作者： Yiyu Zhang Da Wei Xiaochen Wang Boyi Wang Ming Li Haiping Fang Yi Peng Qihui Fan Fangfu Ye beijing National Laboratory for Condensed Matter Physics Institute of PhysicsChinese Academy of SciencesBeijing 100190China School of Physical Sciences University of Chinese Academy of SciencesBeijing 100049China Wenzhou Institute University of Chinese Academy of SciencesWenzhouZhejang 325000China Songshan Lake Materials Laboratory DongguanGuangdong 523808China School of Science East China University of Science and TechnologyShanghai 200237China Oujang Laboratory(Zhejiang Lab for Regenerative Medicine Vision and Brain Health)WenzhouZhejiang 325000China

Microglia are resident macrophage cells in the central nervous system that search for pathogens or abnormal neural activities and migrate to resolve the *** effective search and targeted motion of macrophages mean dearly to maintaining a healthy brain,yet little is known about their migration *** this work,we study microglial motion with and without the presence of external *** discover that the cells are promptly attracted by the applied forces(i.e.,mechanotaxis),which is a tactic behavior as yet unconfirmed in ***,in both the explorative and the targeted migration,microglia display dynamics that is strikingly analogous to bacterial run-and-tumble motion.A closer examination reveals that microglial run-and-tumble is more sophisticated,e.g.,they display a short-term memory when tumbling and rely on active steering during runs to achieve mechanotaxis,probably via the responses of mechanosensitive ion *** differences reflect the sharp contrast between microglia and bacteria cells(eukaryotes ***)and their environments(compact tissue ***).Further analyses suggest that the reported migration dynamics has an optimal search efficiency and is shared among a subset of immune cells(human monocyte and macrophage).This work reveals a fruitful analogy between the locomotion of 2 remote systems and provides a framework for studying immune cells exploring complex environments.

关键词： analogy closer prompt

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Tianmouc vision chip designed for open-world sensing

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Science China Materials 2024年第9期67卷 3046-3048页

作者： Haotian Li Qilin Hua Guozhen Shen School of Integrated Circuits and Electronics Beijing Institute of TechnologyBeijing100081China Institute of Flexible Electronics Beijing Institute of TechnologyBeijing102488China

Driven by the forward development of highly interactive applications like autonomous robots and artificial intelligence[1,2],image sensors are continuously demanded to improve in terms of high speed,high resolution,wide dynamic range,and high precision[3].However,due to inherent limitations in power and bandwidth,significant enhancements in one aspect often necessitates compromises in others[4].

关键词： artificial interactive autonomous

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Research on intelligent search-and-secure technology in accelerator hazardous areas based on machine vision

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Nuclear Science and Techniques 2024年第4期35卷 96-107页

作者： Ying-Lin Ma Yao Wang Hong-Mei Shi Hui-Jie Zhang School of Traffic and Transportation Beijing Jiaotong UniversityBeijing 100044China School of Mechanical Electronic and Control EngineeringBeijing Jiaotong UniversityBeijing 100044China Institute of High Energy Physics Chinese Academy of SciencesBeijing 100049China

Prompt radiation emitted during accelerator operation poses a significant health risk,necessitating a thorough search and securing of hazardous areas prior to ***,manual sweep methods are ***,the limitations of manual sweeps have become increasingly evident with the implementation of large-scale *** leveraging advancements in machine vision technology,the automatic identification of stranded personnel in controlled areas through camera imagery presents a viable solution for efficient search and *** the criticality of personal safety for stranded individuals,search and security processes must be sufficiently *** ensure comprehensive coverage,180°camera groups were strategically positioned on both sides of the accelerator tunnel to eliminate blind spots within the monitoring *** YOLOV8 network model was modified to enable the detection of small targets,such as hands and feet,as well as larger targets formed by individuals near the ***,the system incorporates a pedestrian recognition model that detects human body parts,and an information fusion strategy is used to integrate the detected head,hands,and feet with the identified pedestrians as a cohesive *** strategy enhanced the capability of the model to identify pedestrians obstructed by equipment,resulting in a notable improvement in the recall ***,recall rates of 0.915 and 0.82were obtained for Datasets 1 and 2,*** there was a slight decrease in accuracy,it aligned with the intended purpose of the search-and-secure software *** tests conducted within an accelerator tunnel demonstrated the effectiveness of this approach in achieving reliable recognition outcomes.

关键词： Search and secure Machine vision Camera Human body parts recognition Particle accelerator Hazardous area

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Single-cell transcriptomic Atlas of aging macaque ocular outflow tissues

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Protein & Cell 2024年第8期15卷 594-611页

作者： Jian Wu Chaoye Wang Shuhui Sun Tianmin Ren Lijie Pan Hongyi Liu Simeng Hou Shen Wu Xuejing Yan Jingxue Zhang Xiaofang Zhao Weihai Liu Sirui Zhu Shuwen Wei Chi Zhang Xu Jia Qi Zhang Ziyu Yu Yehong Zhuo Qi Zhao Chenlong Yang Ningli Wang beijing Institute of Ophthalmology Beijing Tongren Eye CenterBeijing Tongren HospitalCapital Medical UniversityBeijing Key Laboratory of Ophthalmology and Visual SciencesBeijing 100730China State Key Laboratory of Ophthalmology Zhongshan Ophthalmic CenterSun Yat-sen UniversityGuangzhou 510060China State Key Laboratory of Oncology in South China Collaborative Innovation Center for Cancer MedicineSun Yat-sen University Cancer CenterGuangzhou 510060China State Key Laboratory of Membrane Biology Institute of ZoologyChinese Academy of SciencesBeijing 100101China beijing Institute for Stem Cell and Regenerative Medicine Beijing 100101China Institute for Stem Cell and Regeneration Chinese Academy of SciencesBeijing 100101China Department of Neurosurgery Peking University Third HospitalCenter for Precision Neurosurgery and Oncology of Peking University Health Science CenterBeijing 100191China Spencer Center for vision Research Byers Eye InstituteSchool of MedicineStanford UniversityPalo AltoCA 94304USA

The progressive degradation in the trabecular meshwork(TM)is related to age-related ocular diseases like primary open-angle ***,the molecular basis and biological significance of the aging process in TM have not been fully ***,we established a dynamic single-cell transcriptomic landscape of aged macaque TM,wherein we classified the outflow tissue into 12 cell subtypes and identified mitochondrial dysfunction as a prominent feature of TM ***,we divided TM cells into 13 clusters and performed an in-depth analysis on cluster O,which had the highest aging score and the most significant changes in cell proportions between the two ***,we found that the APOE gene was an important differentially expressed gene in cluster O during the aging process,highlighting the close relationship between cell migration and extracellular matrix regulation,and TM *** work further demonstrated that silencing the APOE gene could increase migration and reduce apoptosis by releasing the inhibition on the PI3K-AKT pathway and downregulating the expression of extracellular matrix components,thereby increasing the aqueous outflow rate and maintaining intraocular pressure within the normal *** work provides valuable insights for future clinical diagnosis and treatment of glaucoma.

关键词： single-cell transcriptomic atlas macaque trabecular meshwork ocular outflow tissue aging

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