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Analysis of the causes of primary revision after unicompartmental knee arthroplasty: A case series

World Journal of Clinical Cases 2024年第9期12卷 1560-1568页

作者： Jin-Long Zhao Xiao Jin He-Tao Huang Wei-Yi Yang Jia-hui Li ming-hui luo Jun Liu Jian-Ke Pan The Second Clinical Medical College Guangzhou University of Chinese MedicineGuangzhou 510405Guangdong ProvinceChina Department of Chinese Medicine The First Affiliated HospitalJinan UniversityGuangzhou 510630Guangdong ProvinceChina The Second School of Clinical Medical Sciences Guangzhou University of Chinese MedicineGuangdong Academy of Traditional Chinese MedicineGuangzhou 510405Guangdong ProvinceChina The Second Affiliated Hospital Guangzhou University of Chinese Medicine(Guangdong Provincial Hospital of Chinese Medicine)Guangzhou 510120Guangdong ProvinceChina The Affiliated TCM Hospital Guangzhou Medical UniversityGuangzhou 510405Guangdong ProvinceChina The Research Team on Bone and Joint Degeneration and Injury Guangdong Provincial Academy of Chinese Medical SciencesGuangzhou 510405Guangdong ProvinceChina

BACKGROUND Unicompartmental knee arthroplasty(UKA)has great advantages in the treatment of unicompartmental knee osteoarthritis,but its revision rate is higher than that of total knee arthroplasty.AIM To summarize and analyse the causes of revision after UKA.METHODS This is a retrospective case series study in which the reasons for the first revision after UKA are summarized.We analysed the clinical symptoms,medical histories,laboratory test results,imaging examination results and treatment processes of the patients who underwent revision and summarized the reasons for primary revision after UKA.RESULTS A total of 13 patients,including 3 males and 10 females,underwent revision surgery after UKA.The average age of the included patients was 67.62 years.The prosthesis was used for 3 d to 72 months.The main reasons for revision after UKA were improper suturing of the surgical opening(1 patient),osteophytes(2 patients),intra-articular loose bodies(2 patients),tibial prosthesis loosening(2 patients),rheumatoid arthritis(1 patient),gasket dislocation(3 patients),anterior cruciate ligament injury(1 patient),and medial collateral ligament injury with residual bone cement(1 patient).CONCLUSION The causes of primary revision after UKA were gasket dislocation,osteophytes,intra-articular loose bodies and tibial prosthesis loosening.Avoidance of these factors may greatly reduce the rate of revision after UKA,improve patient satisfaction and reduce medical burden.

关键词： Unicompartmental knee arthroplasty Total knee arthroplasty Causes Revision Case series

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Excited-state charge coupled proton transfer reaction via the dipolar functionality of salicylideneaniline

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Chinese Chemical Letters 2013年第2期24卷 145-148页

作者： Tzu-Chien Fang Hsing-Yang Tsai ming-hui luo Che-Wei Chang Kew-Yu Chen Department of Chemical Engineering Feng Chia University

Received 27 September 2012 Received in revised form 5 December 2012 Accepted 14 December 2012 Available online 4 February 2013

关键词： ESIPTESICTDipolar functionalitySalicylideneaniline derivatives

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A survey on model-based reinforcement learning

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Science China(Information Sciences) 2024年第2期67卷 59-84页

作者： Fan-ming luo Tian XU Hang LAI Xiong-hui CHEN Weinan ZHANG Yang YU National Key Laboratory for Novel Software Technology Nanjing University Polixir. ai Department of Computer Science and Engineering Shanghai Jiao Tong University

Reinforcement learning(RL) interacts with the environment to solve sequential decision-making problems via a trial-and-error approach. Errors are always undesirable in real-world applications, even though RL excels at playing complex video games that permit several trial-and-error attempts. To improve sample efficiency and thus reduce errors, model-based reinforcement learning(MBRL) is believed to be a promising direction, as it constructs environment models in which trial-and-errors can occur without incurring actual costs. In this survey, we investigate MBRL with a particular focus on the recent advancements in deep RL. There is a generalization error between the learned model of a non-tabular environment and the actual environment. Consequently, it is crucial to analyze the disparity between policy training in the environment model and that in the actual environment, guiding algorithm design for improved model learning, model utilization, and policy training. In addition, we discuss the recent developments of model-based techniques in other forms of RL, such as offline RL, goal-conditioned RL, multi-agent RL, and meta-RL. Furthermore,we discuss the applicability and benefits of MBRL for real-world tasks. Finally, this survey concludes with a discussion of the promising future development prospects for MBRL. We believe that MBRL has great unrealized potential and benefits in real-world applications, and we hope this survey will encourage additional research on MBRL.

关键词： reinforcement learning model-based reinforcement learning planning model learning model learning with reduced error model usage

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Primary pancreatic peripheral T-cell lymphoma:A case report

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World Journal of Gastrointestinal Oncology 2024年第4期16卷 1668-1675页

作者： Yan-Liang Bai Li-Jie Wang hui luo Ya-Bin Cui Jin-hui Xu hui-Jie Nan Pei-Yao Yang Jun-Wei Niu ming-Yue Shi Department of Hematology Zhengzhou University People's Hospital and Henan Provincial People's HospitalZhengzhou 450003Henan ProvinceChina Department of Hematology Henan University People's Hospital and Henan Provincial People's HospitalZhengzhou 450003Henan ProvinceChina Department of Radiation Oncology The Affiliated Cancer Hospital of Zhengzhou UniversityZhengzhou 450008Henan ProvinceChina

BACKGROUND Primary pancreatic lymphoma(PPL)is an exceedingly rare tumor with limited mention in scientific literature.The clinical manifestations of PPL are often nonspecific,making it challenging to distinguish this disease from other panc-reatic-related diseases.Chemotherapy remains the primary treatment for these individuals.CASE SUMMARY In this case study,we present the clinical details of a 62-year-old woman who initially presented with vomiting,abdominal pain,and dorsal pain.On further evaluation through positron emission tomography-computed tomography,the patient was considered to have a pancreatic head mass.However,subsequent endoscopic ultrasonography-guided fine needle aspiration(EUS-FNA)revealed that the patient had pancreatic peripheral T-cell lymphoma,not otherwise specified(PTCL-NOS).There was a substantial decrease in the size of the pancreatic mass after the patient underwent a cycle of chemotherapy comprised of brentuximab vedotin,decitabine,and oxaliplatin(brentuximab vedotin and Gemox).The patient had significant improvement in radiological findings at the end of the first cycle.CONCLUSION Primary pancreatic PTCL-NOS is a malignant and heterogeneous lymphoma,in which the clinical manifestations are often nonspecific.It is difficult to diagnose,and the prognosis is poor.Imaging can only be used for auxiliary diagnosis of other diseases.With the help of immunostaining,EUS-FNA could be used to aid in the diagnosis of PPL.After a clear diagnosis,chemotherapy is still the first-line treatment for such patients,and surgical resection is not recommended.A large number of recent studies have shown that the CD30 antibody drug has potential as a therapy for several types of lymphoma.However,identifying new CD30-targeted therapies for different types of lymphoma is urgently needed.In the future,further research on antitumor therapy should be carried out to improve the survival prognosis of such patients.

关键词： Pancreatic cancer Lymphoma Chemotherapy Primary pancreatic lymphoma Case report

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Long-term tadalafil once daily in Chinese men witherectile dysfunction:a 2-year final analysis of apost-marketing,multicenter,randomized,open-labeltrial

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Asian Journal of Andrology 2024年第3期26卷 282-287页

作者： hui Jiang Lian-ming Zhao Su Yan Ji-Hong Liu Zhao-hui Zhu Jin-Dan luo Yu-Tian Dai Fu-Biao Li Hao-Cheng Lin Zhi-Chao Zhang Department of Urology Peking University First HospitalBeijing 100000China Department of Urology Peking University Third HospitalBeijing 100191China Department of Urology Peking Union Medical College HospitalBeijing 100730China Department of Urology Tongji HospitalTongji Medical CollegeHuazhongUniversity of Science and TechnologyWuhan 430030China Department of Urology Union Hospital of Tongji Medical CollegeHuazhong University of Science andTechnologyWuhan 430022China Department of Urology The First Affiliated HospitalZhejiang University School of MedicineHangzhou 310003China Departmentof Andrology Nanjing Drum Tower HospitalNanjing 210008China Department of Andrology The First Hospital of Jilin UniversityChangchun 130021China Andrology Center Department of UrologyPeking University First HospitalBeijing 100034China.

The long-term safety and effectiveness of once-daily tadalafil is crucial,but limited data are available in Chinese patients witherectile dysfunction(ED).In this post-marketing,multicenter,randomized,open-label trial with 2-year follow-up,635 ED caseswere randomized to receive daily oral tadalafil 2.5 mg or 5 mg for 3 months,of whom 580 continued once-daily tadalafil 5 mg for21 months.Treatment-emergent adverse events in the 12-month and 24-month period were similar,with the most common beingviral upper respiratory tract infection,upper respiratory tract infection,and headache.Significant improvement from baseline inthe International Index of Erectile Function-Erectile Function(IIEF-EF)score was detected at month 12(least squares mean[LSM]change:7.9,95%confidence interval[CI]:7.5–8.4,P<0.001)and was maintained to month 24(LSM change:8.6,95%CI:8.1–9.0,P<0.001).The proportions of patients regaining normal erectile function(IIEF-EF score≥26)were 43.7%and 48.0%at months 12 and 24,respectively.Global Assessment Questionnaire results showed improved erection function in 97.5%ofpatients and improved ability to engage in sexual activity in 95.9%of patients at month 12;these values were 96.1%and 95.0%at month 24,respectively.The quality of sexual life score based on the Sexual Life Quality Questionnaire(SLQQ)was increased by52.2%at month 12 and by 55.3%at month 24(both P<0.001).The treatment satisfaction score determined by SLQQ(mean±standard deviation)was 62.4±21.0 at month 12 versus 65.9±20.2 at month 24.Two-year daily application of tadalafil 5mg in Chinese men with ED showed a favorable safety profile and durable improvement in sexual performance and satisfaction.

关键词： clinical trial erectile dysfunction long-term safety once-daily dosing tadalafil

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Metallothionein 1E Alleviates Cadmium-induced Renal Cytotoxicity through Promoting Mitochondrial Functional Recovery

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Biomedical and Environmental Sciences 2024年第1期37卷 117-121页

作者： WEN Si hui LI Lu Bei HUANG hui Dan XIE Ying luo Lei Key Laboratory of Molecular Epidemiology of Hunan Province School of MedicineHunan Normal UniversityChangsha 410081HunanChina Department of Occupational Health Changsha Centre for Disease Control and PreventionChangsha 410004HunanChina The Key Laboratory of Model Animals and Stem Cell Biology in Hunan Province Hunan Normal University School of MedicineChangsha 410013HunanChina

The pervasive utilization of industrial substances has escalated human exposure to cadmium(Cd),a metal associated with long-term negative health outcomes such as renal dysfunction,neurological disorders,and various cancers^([1]).Once ingested by humans,Cd interacts with cysteine-rich metallothioneins(MTs)which have metal-binding and antioxidant properties and is subsequently transported to the kidney^([2]).

关键词： Renal kidney cadmium

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Spatiotemporal Prediction of Urban Traffics Based on Deep GNN

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Computers, Materials & Continua 2024年第1期78卷 265-282页

作者： ming luo huili Dou Ning Zheng School of Computer Science Hangzhou Dianzi UniversityHangzhou310018China Zhejiang Institute of Communications Hangzhou310012China School of Cyberspace Security Hangzhou Dianzi UniversityHangzhou310018China

Traffic prediction already plays a significant role in applications like traffic planning and urban management,but it is still difficult to capture the highly non-linear and complicated spatiotemporal correlations of traffic data.As well as to fulfil both long-termand short-termprediction objectives,a better representation of the temporal dependency and global spatial correlation of traffic data is needed.In order to do this,the Spatiotemporal Graph Neural Network(S-GNN)is proposed in this research as amethod for traffic prediction.The S-GNN simultaneously accepts various traffic data as inputs and investigates the non-linear correlations between the variables.In terms of modelling,the road network is initially represented as a spatiotemporal directed graph,with the features of the samples at the time step being captured by a convolution module.In order to assign varying attention weights to various adjacent area nodes of the target node,the adjacent areas information of nodes in the road network is then aggregated using a graph network.The data is output using a fully connected layer at the end.The findings show that S-GNN can improve short-and long-term traffic prediction accuracy to a greater extent;in comparison to the control model,the RMSE of S-GNN is reduced by about 0.571 to 9.288 and the MAE(Mean Absolute Error)by about 0.314 to 7.678.The experimental results on two real datasets,Pe MSD7(M)and PEMS-BAY,also support this claim.

关键词： Urban traffic traffic temporal correlation GNN prediction

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Lightweight,Strong and High Heat-Resistant Poly(lactide acid)Foams via Microcellular Injection Molding with Self-Assembly Nucleating Agent

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Chinese Journal of Polymer Science 2024年第6期42卷 739-750页

作者： Xiao-Hu Bing Wen-Yu Ma ming-hui Wu Peng Gao Xiao Zhou Hai-Bin luo Long Wang Wen-Ge Zheng School of materials Science and Engineering Shanghai UniversityShanghai200444China Ningbo Key Lab of Polymer Materials Ningbo Institute of Material Technology and EngineeringChinese Academy of SciencesNingbo315201China University of Chinese Academy of Sciences Beijing100049China

Poly(lactide acid)(PLA)foams have shown considerable promise as eco-friendly alternatives to nondegradable plastic foams,such as polystyrene(PS)foams.Nevertheless,PLA foam typically suffers from low heat-resistance and poor cellular structure stemming from its inherent slow crystallization rate and low melt strength.In this study,a high-performance PLA foam with well-defined cell morphology,exceptional strength and enhanced heat-resistance was successfully fabricated via a core-back microcellular injection molding(MIM)process.Differential scanning calorimetry(DSC)results revealed that the added hydrazine-based nucleating agent(HNA)significantly increased the crystallization temperature and accelerated the crystallization process of PLA.Remarkably,the addition of a 1.5 wt%of HNA led to a significant reduction in PLA’s cell size,from 43.5µm to 2.87µm,and a remarkable increase in cell density,from 1.08×10^(7)cells/cm^(3)to 2.15×10^(10)cells/cm^(3).This enhancement resulted in a final crystallinity of approximately 55.7%for the PLA blend foam,a marked improvement compared to the pure PLA foam.Furthermore,at 1.5 wt%HNA concentration,the tensile strength and tensile toughness of PLA blend foams demonstrated remarkable improvements of 136%and 463%,respectively.Additionally,the Vicat softening temperature of PLA blend foam increased significantly to 134.8°C,whereas the pure PLA foam exhibited only about 59.7℃.These findings underscore the potential for the preparation of lightweight injection-molded PLA foam with enhanced toughness and heat-resistance,which offers a viable approach for the production of high-performance PLA foams suitable for large-scale applications.

关键词： Poly(lactide acid) Nucleating agent Microcellular injection molding Heat-resistance Toughness

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Uniqueness on Difference Operators of Meromorphic Functions of Infinite Order

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Acta Mathematica Sinica,English Series 2024年第2期40卷 511-527页

作者： hui LI ming Liang FANG Xiao YAO School of Science China University of Mining and TechnologyBeijing 100083P.R.China Institute of Mathematics Academy of Mathematics and System SciencesChinese Academy of SciencesBeijing 100190P.R.China School of Sciences Hangzhou Dianzi UniversityHangzhou 310012P.R.China School of Mathematical sciences and LPMC Nankai UniversityTianjin 300071P.R.China

We investigate the uniqueness problems of meromorphic functions and their difference operators by using a new method.It is proved that if a non-constant meromorphic function f shares a non-zero constant and ∞ counting multiplicities with its difference operators Δcf(z) and Δ_(c)^(2)f(z), thenΔcf(z)≡Δ_(c)^(2)f(z).In particular,we give a difference analogue of a result of Jank-Mues-Volkmann.Our method has two distinct features:(ⅰ) It converts the relations between functions into the corresponding vectors.This makes it possible to deal with the uniqueness problem by linear algebra and combinatorics.(ⅱ) It circumvents the obstacle of the difference logarithmic derivative lemma for meromorphic functions of infinite order,since this method does not depend on the growth of the functions.Furthermore,the idea in this paper can also be applied to the case for several variables.

关键词： Uniqueness meromorphic functions difference operators infinite order

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Multimodal Fusion of Brain Imaging Data: Methods and Applications

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Machine Intelligence Research 2024年第1期21卷 136-152页

作者： Na luo Weiyang Shi Zhengyi Yang ming Song Tianzi Jiang Brainnetome Center and National Laboratory of Pattern Recognition Institute of AutomationChinese Academy of SciencesBeijing 100190China School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China Center for Excellence in Brain Science and Intelligence Technology Institute of AutomationChinese Academy of SciencesBeijing 100190China Research Center for Augmented Intelligence Zhejiang LaboratoryHangzhou 311100China

Neuroimaging data typically include multiple modalities,such as structural or functional magnetic resonance imaging,dif-fusion tensor imaging,and positron emission tomography,which provide multiple views for observing and analyzing the brain.To lever-age the complementary representations of different modalities,multimodal fusion is consequently needed to dig out both inter-modality and intra-modality information.With the exploited rich information,it is becoming popular to combine multiple modality data to ex-plore the structural and functional characteristics of the brain in both health and disease status.In this paper,we first review a wide spectrum of advanced machine learning methodologies for fusing multimodal brain imaging data,broadly categorized into unsupervised and supervised learning strategies.Followed by this,some representative applications are discussed,including how they help to under-stand the brain arealization,how they improve the prediction of behavioral phenotypes and brain aging,and how they accelerate the biomarker exploration of brain diseases.Finally,we discuss some exciting emerging trends and important future directions.Collectively,we intend to offer a comprehensive overview of brain imaging fusion methods and their successful applications,along with the chal-lenges imposed by multi-scale and big data,which arises an urgent demand on developing new models and platforms.

关键词： Multimodal fusion supervised learning unsupervised learning brain atlas cognition brain disorders

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