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Long-term complete response to anti-programmed-death-1 monotherapy in a patient with relapsed and refractory ovarian adenocarcinoma: A case report

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World Journal of Clinical Cases 2024年第11期12卷 1967-1973页

作者： Guang-Di Zhou qin Li Affiliated to Shanghai Jiao Tong University School of Medicine Xinhua HospitalShanghai 200092China Department of Obstetrics and Gynecology Shanghai Changhai HospitalShanghai 200433China

BACKGROUND Ovarian cancer is the most common malignant tumor of the female reproductive system,and the survival rate of patients with relapsed and refractory ovarian cancer is very *** SUMMARY Here,we report a case of high-grade serous papillary adenocarcinoma of the ovary that was successfully treated with *** surgery and adjuvant chemotherapy for the 56-year-old patient were successful;however,her tumor *** second-line chemotherapy,targeted agents,and other treatments were ineffective,as the tumor continued to recur and ***-programmed cell death-1(PD-1)monotherapy(tislelizumab)completely alleviated the tumor,and the multiple metastatic tumors *** date,the patient has used anti-PD-1 for 32 months,experiencing no disease progression and maintaining good health without additional *** This case suggests that anti-PD-1 immunotherapy may have long-term positive effects on outcomes in some refractory recurrent solid *** research is needed to identify patients most likely to respond to anti-PD-1 therapy.

关键词： Anti-programmed cell death-1 Tislelizumab Ovarian cancer Relapsed cancer treatment Immunotherapy Case report

Single-emissive white-luminescent quantum dots for generating full-color circularly polarized luminescence

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Science China Chemistry 2024年第11期67卷 3505-3507页

作者： Jinsui Li Wendi qin Fanglong Yuan Key Laboratory of Theoretical & Computational Photochemistry of Ministry of Education College of Chemistry Beijing Normal University

Circularly polarized luminescence(CPL) has garnered widespread attention in recent years due to its versatile applications, spanning from three-dimensional(3D) displays to quantum-based optical computing and informati...

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Advancing cancer nanomedicine with machine learning

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Acta Pharmaceutica Sinica B 2024年第9期14卷 4183-4185页

作者： Xifeng qin Tun Lu Zhiqing Pang School of Pharmacy Fudan UniversityKey Laboratory of Smart Drug DeliveryMinistry of EducationShanghai 201203China School of Computer Science Fudan UniversityShanghai 200438China

Nanomedicine,a captivating and highly promising field in biomedicine,is driving the transformation of medical technologies and treatments,catalyzing revolutionary advancements in areas such as cancer therapy,drug delivery,diagnostics,and *** the notable progress in nanomedicine to tackle the complexities of various diseases,the biomedical sector is presented with abundant opportunities for innovation and *** this process,machine learning(ML)and artificial intelligence(AI)emerge as pivotal themes in the realm of science and *** are reshaping our lifestyles and workplaces with unparalleled rapidity and magnitude,while also providing fresh possibilities and potentials for the evolution of nanomedicine。

关键词： Machine learning Artificial intelligence Nanomedicine Drug design Cancer treatment

Control Policy Learning Design for Vehicle Urban Positioning via BeiDou Navigation

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Journal of Systems Science & Complexity 2024年第1期37卷 114-135页

作者： qin Yahang ZHANG Chengye CHEN Ci XIE Shengli LEWIS Frank L School of Automation Guangdong University of TechnologyGuangzhou 510006China Guangdong Key Laboratory of IoT Information Technology Guangzhou 510006China. Center for Intelligent Batch Manufacturing Based on IoT Technology Key Laboratory of Intelligent Detection and The Internet of Things in Manufacturing Ministry of EducationGuangzhou 510006China Guangdong-HongKong-Macao Joint Laboratory for Smart Discrete Manufacturing Guangzhou 510006China Key Laboratory of Intelligent Information Processing and System Integration of IoT Ministry of EducationGuangzhou 510006China. UTA Research Institute The University of Texas at ArlingtonFort WorthTX 76019USA

This paper presents a learning-based control policy design for point-to-point vehicle positioning in the urban environment via BeiDou *** navigating in urban canyons,the multipath effect is a kind of interference that causes the navigation signal to drift and thus imposes severe impacts on vehicle localization due to the reflection and diffraction of the BeiDou ***,the authors formulated the navigation control system with unknown vehicle dynamics into an optimal control-seeking problem through a linear discrete-time system,and the point-to-point localization control is modeled and handled by leveraging off-policy reinforcement learning for feedback *** proposed learning-based design guarantees optimality with prescribed performance and also stabilizes the closed-loop navigation system,without the full knowledge of the vehicle *** is seen that the proposed method can withstand the impact of the multipath effect while satisfying the prescribed convergence rate.A case study demonstrates that the proposed algorithms effectively drive the vehicle to a desired setpoint under the multipath effect introduced by actual experiments of BeiDou navigation in the urban environment.

关键词： BeiDou navigation multipath effect prescribed convergence rate reinforcement learning urban localization.

Message from animal models and experimental medicine for 2024-Striving for excellence with distinctive features

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Animal Models and Experimental Medicine 2024年第1期7卷 1-1,I0002页

作者： Chuan qin Chinese Association for Laboratory Animal Sciences BeijingChina Institute of Laboratory Animal Sciences Chinese Academy of Medical Sciences&Peking Union Medical CollegeBeijingChina

Since its inception,Animal Models and Experimental Medicine(AMEM)has received 632 articles in total from 52 countries and regions includ-ing China,Iran,the United States,India,Nigeria,Israel,Germany,Iraq,Italy,Japan,Australia,Bangladesh,Belgium,Brazil,and Canada,among *** has become an important international exchange plat-form for innovative research achievements in the field of laboratory animal science and basic medicine.

关键词： Israel Canada innovative

A Graph with Adaptive AdjacencyMatrix for Relation Extraction

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Computers, Materials & Continua 2024年第9期80卷 4129-4147页

作者： Run Yang YanpingChen Jiaxin Yan Yongbin qin Engineering Research Center of Text Computing&Cognitive Intelligence Ministry of EducationGuizhou UniversityGuiyang550025China State Key Laboratory of Public Big Data Guizhou UniversityGuiyang550025China College of Computer Science and Technology Guizhou UniversityGuiyang550025China

The relation is a semantic expression relevant to two named entities in a *** a sentence usually contains several named entities,it is essential to learn a structured sentence representation that encodes dependency information specific to the two named *** related work,graph convolutional neural networks are widely adopted to learn semantic dependencies,where a dependency tree initializes the adjacency ***,this approach has two main ***,parsing a sentence heavily relies on external toolkits,which can be ***,the dependency tree only encodes the syntactical structure of a sentence,which may not align with the relational semantic *** this paper,we propose an automatic graph learningmethod to autonomously learn a sentence’s structural *** of using a fixed adjacency matrix initialized by a dependency tree,we introduce an Adaptive Adjacency Matrix to encode the semantic dependency between *** elements of thismatrix are dynamically learned during the training process and optimized by task-relevant learning objectives,enabling the construction of task-relevant semantic dependencies within a *** model demonstrates superior performance on the TACRED and SemEval 2010 datasets,surpassing previous works by 1.3%and 0.8%,*** experimental results show that our model excels in the relation extraction task,outperforming prior models.

关键词： Relation extraction graph convolutional neural network adaptive adjacency matrix

Cytokine Storm:The Novel Mechanism for Sleep Deprivation-induced Multiple Organ Dysfunction Syndrome

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Neuroscience Bulletin 2024年第7期40卷 1031-1033页

作者： Liwen Wang Huimei Liu Li qin Lanfang Li Institute of Pharmacy and Pharmacology University of South ChinaHengyang 421001China Hengyang Medical School University of South ChinaHengyang 421001China

It is well known that sleep is one of the inevitable activities of daily living and it is one of the most important factors contributing to human *** in mammals is a cyclic occurrence of two distinct states,rapid eye ... 详细信息

关键词： NREM Sleep movement

Resilience-driven cooperative reconfiguration strategy for unmanned weapon system-of-systems

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Journal of Systems Engineering and Electronics 2024年第4期35卷 932-944页

作者： SUN qin LI Hongxu ZENG Yifan ZHANG Yingchao School of Systems Science and Engineering Sun Yat-sen UniversityGuangzhou 510006China

As the unmanned weap system-of systems(UWSoS)becomes complex,the inevitable uncertain interference gradu-ally increases,which leads to a strong emphasis on the resilience of ***,this paper presents a resilience-driven cooperative reconfiguration strategy to enhance the resilience of ***,a unified resilience-driven coopera-tive reconfiguration strategy framework is designed to guide the UWSoS resilience ***,a cooperative reconfiguration strategy algorithm is proposed to identify the optimal cooperative reconfiguration sequence,combining the cooperative pair resilience contribution index(CPRCI)and coop-erative pair importance index(CPII).At last,the effectiveness and superiority of the proposed algorithm are demonstrated through various attack scenario simulations that include differ-ent attack modes and *** analysis results can pro-vide a reference for decision-makers to manage UWSoS.

关键词： resilience strategy unmanned weapon system-of-systems(UWSoS) cooperative reconfiguration unmanned con-frontation

A deep multimodal fusion and multitasking trajectory prediction model for typhoon trajectory prediction to reduce flight scheduling cancellation

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Journal of Systems Engineering and Electronics 2024年第3期35卷 666-678页

作者： TANG Jun qin Wanting PAN qingtao LAO Songyang College of Systems Engineering National University of Defense TechnologyChangsha 410000China

Natural events have had a significant impact on overall flight activity,and the aviation industry plays a vital role in helping society cope with the impact of these *** one of the most impactful weather typhoon seasons appears and continues,airlines operating in threatened areas and passengers having travel plans during this time period will pay close attention to the development of tropical *** paper proposes a deep multimodal fusion and multitasking trajectory prediction model that can improve the reliability of typhoon trajectory prediction and reduce the quantity of flight scheduling *** deep multimodal fusion module is formed by deep fusion of the feature output by multiple submodal fusion modules,and the multitask generation module uses longitude and latitude as two related tasks for simultaneous *** more dependable data accuracy,problems can be analysed rapidly and more efficiently,enabling better decision-making with a proactive versus reactive *** multiple modalities coexist,features can be extracted from them simultaneously to supplement each other’s *** actual case study,the typhoon Lichma that swept China in 2019,has demonstrated that the algorithm can effectively reduce the number of unnecessary flight cancellations compared to existing flight scheduling and assist the new generation of flight scheduling systems under extreme weather.

关键词： flight scheduling optimization deep multimodal fusion multitasking trajectory prediction typhoon weather flight cancellation prediction reliability