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An Innovative Three-Dimensional Method for Identifying a Proper Femoral Intramedullary Entry Point in Total Knee Arthroplasty

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Chinese Medical Journal 2018年第21期131卷 2531-2536页

作者： Lu-Yao Ma Hong-Yu Wei fu-yin wan wan-Shou GUO Jin-Hui Ma 'Department of Orthopaedics Second Hospital of Shanxi Medical University Taiyuan Shanxi 030001 China Department of Orthopaedics China-Japan Friendship Hospital Beijing 100029 China Department of Orthopaedics Peking University China-Japan Friendship School of Clinical Medicine Beijing 100029 China

Background： Identification of the proper femoral intramedullary （IM） access point is an important determinant of final implant position in IM-guided total knee arthroplasty （TKA）. The aim of this study was to identify the optimal entry point in Chinese participants using a new three-dimensional method. Methods： A series of computed tomography scans of 44 femurs in Chinese participants from October 2014 to October 2015 were imported into Mimics 17.0 software to identify the optimal entry point. The apex of the intercondylar notch （AIN） was used as the reference bony anatomical landmark to identify the proper entry point to insert the IM rod. The statistical significance was calculated on the basis of a 5% level （P 〈 0.05） using the Student＇s t-test. Results： For the males, the average ideal entry point was 1.49 mm medial and 13.39 mm anterior to the AIN. The values were 1.77 mm medial and 15.29 mm anterior to the AIN in females. A significant difference was present between males and females （13.39 ±2.46 mm vs. 15.29 ± 3.44 mm, t = 2.124, P = 0.040）. When using the recommended location as the entry point for the IM rod, the mean potential error differed significantly from the femoral trochlear groove （the potential error of IM in males in coronal plane： 0.93~ ±0.24~ vs. 1.27~ ± 0.32~, t = -4.166, P 〈 0.001; the potential error of 1M in males in sagittal plane： 1.40° ± 0.42° vs. 2.79° ± 0.70°, t = -7.155, P 〈 0.001; the potential error oflM in females in coronal plane： 0.73° ± 0.28° vs. 1.15° ± 0.35°, t = -3.940, P 〈 0.001 ： and the potential error of 1M in females in sagittal plane： 1.48° ±0.47° vs. 2.76° ± 0.83°, t = -5.574, P 〈 0.001 ）. A significant difference was present between the recommended point and the point 10 mm anterior to the origin of the posterior cruciate ligament （the potential error of IM in males in coronal plane： 0.93° ± 0.24° vs. 1.53° ±0.43°, t = -5.948, P 〈 0.001 ; the potential error of IM in males in sagittal plane： 1.40° ± 0.42° vs. 2.15°± 0.75°, t = -3.152, P = 0.003; the potential error

关键词： Displacement Femoral lntramedullary Guide Intercondylar Notch Total Knee Arthroplasty

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Glycosaminoglycan Content of the Lateral Compartment Cartilage in Knees Conforming to the Indications for Oxford Medial Unicompartmental Knee Arthroplasty

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Chinese Medical Journal 2018年第2期131卷 194-199页

作者： fu-yin wan Ju-An Yue2 wan-Shou Guo Lu-Yao Ma Ran Yan Qi-Dong Zhang Li-Ming Cheng Department of Bone and Joint Surgery Peking University China-Japan Friendship School of Clinical Medicine Beijing 100029 China Department of Bone and Joint Beijing University of Chinese Medicine Beijing 100029 China Department of Bone and Joint Surgery China-Japan Friendship Hospital Beijing 100029 China Department of Radiology China-Japan Friendship Hospital Beijing 100029 China

Background： The quality of the lateral compartment cartilage is important to preoperative evaluation and prognostic prediction of unicompartmental knee arthroplasty （UKA）. Delayed gadolinium-enhanced magnetic resonance imaging of cartilage （dGEMRIC） enables noninvasive assessment of glycosaminoglycan （GAG） content in cartilage. This study aimed to determine the GAG content of the lateral compartment cartilage in knees scheduled to undergo Oxford medial UKA. Methods： From December 2016 to May 2017, twenty patients （20 osteoarthritic knees） conforming to the indications fbr Oxford medial UKA were included as the osteoarthritis （OA） group, and 20 healthy volunteers （20 knees） paired by sex, knee side, age （±3 years）, and body mass index （BMI）（i3 kg/m2） were included as the control group. The GAG contents of the weight-bearing femoral cartilage （wbFC）, the posterior non-weight-bearing femoral cartilage （pFC）, the lateral femoral cartilage （FC）, and tibial cartilage （TC） were detected using dGEMRIC. The dGEMRIC indices （T1Gd） were calculated in the middle three consecutive slices of the lateral compartment. Paired t-tests were used to compare the T1Gd in each region of interest between the OA group and control group. Results： The average age and BMI in the two groups were similar. In the OA group, TIGd of FC and TC was 386.7 ± 50.7 ms and 429.6 ± 59.9 ins, respectively. In the control group, T1Gd of FC and TC was 397.5 ± 52.3 ms and 448.6 ±62.5 ms, respectively. The respective T 1Gd ofwbFC and pFC was 380.0 ± 47.8 ms and 391.0 ± 66.3 ms in the OA group and 400.3 ± 51.5 ms and 393.6 ± 57.9 ms in the control group. Although the T 1Gd ofwbFC and TC tended to be lower in the OA group than the control group, there was no significant difference between groups in the TIGd in any of the analyzed cartilage regions （P value ofwbFC, pFC, FC, and TC was 0.236, 0.857, 0.465, and 0.324, respectively）. Conclusions： The GAG content of the lateral compartment cartilage in knees confonning to indications for Oxford medial UKA is simil

关键词： Cartilage Glycosaminoglycan Unicompartmental Knee Arthroplasty

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Harnessing data using symbolic regression methods for discovering novel paradigms in physics

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Science China(Physics,Mechanics & Astronomy) 2024年第6期67卷 1-11页

作者： Jianyang Guo wan-Jian yin College of Energy Soochow Institute for Energy and Materials Innovations(SIEMIS)Jiangsu Provincial Key Laboratory for Advanced Carbon Materials and Wearable Energy TechnologiesSoochow UniversitySuzhou 215006China Shanghai Qi Zhi Institute Shanghai 200232China Light Industry Institute of Electrochemical Power Sources Soochow UniversitySuzhou 215006China

In recent years,machine-learning methods have profoundly impacted research in the interdisciplinary fields of physics.However,most machine-learning models lack interpretability,and physicists doubt the credibility of their conclusions because they cannot be combined with prior physical knowledge.Therefore,this review focuses on symbolic regression,which is an interpretable machine-learning method.First,the relevant concepts of machine learning are introduced in conjunction with induction.Next,we provide an overview of symbolic regression methods.Subsequently,the recent directions for the application of symbolic regression methods in different subfields of physics are outlined,and an overview of the ways in which the applications of symbolic regression have evolved in the realm of physics is provided.The major aim of this review is to introduce the basic principles of symbolic regression and explain its applications in the field of physics.

关键词： machine learning genetic programming symbolic regression

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Substrate screening for superclean graphene growth using firstprinciples calculations

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Nano Research 2024年第4期17卷 2216-2222页

作者： Zhihao Li Xiucai Sun Xiaoli Sun wan-Jian yin Zhongfan Liu College of Energy Soochow Institute for Energy and Materials InnovationS(SIEMIS)and Jiangsu Provincial Key Laboratory for Advanced Carbon Materials and Wearable Energy TechnologiesSoochow UniversitySuzhou 215006China Graphene Basic Science Research Center Beijing Graphene Institute(BGI)Beijing 100095China Center for Nanochemistry Beijing Science and Engineering Center for NanocarbonsBeijing National Laboratory for Molecular ScienceCollege of Chemistry and Molecular EngineeringPeking UniversityBeijing 100871China

Suppressing the formation of amorphous surface carbon and contaminants during the preparation of graphene by chemical vapor deposition remains an ongoing issue.Herein,we analyzed how substrate characteristics affect graphene quality by simulating margin extension,the nucleation process,and defect pegging configurations on mono-crystalline oriented metal substrates with the aim of enhancing graphene cleanliness.Defect formation energy and nucleation potential,which are indirect substrate–graphene interaction features,were found to appropriately evaluate graphene quality.The crystallographic orientation of the metal substrate was discovered to be critical for producing superclean graphene.A low graphene defect density and high nucleation rate on the Cu(100)facet guarantee growth of high-quality graphene,especially in terms of suppressing the formation of amorphous carbon.In addition,rapid kink growth and self-healing on the Cu(100)facet facilitate rapid graphene synthesis,which is also promoted by rapid kink splicing and margin self-repair on this facet.This study provides theoretical insight useful for the synthesis of superclean graphene.

关键词： superclean graphene defects nucleation metal substrates density functional theory calculations

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Dynamic changes in butyrate levels regulate satellite cell homeostasis by preventing spontaneous activation during aging

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Science China(Life Sciences) 2024年第4期67卷 745-764页

作者： Shujie Chen Liujing Huang Bingdong Liu Huimin Duan Ze Li Yifan Liu Hu Li Xiang fu Jingchao Lin yinlan Xu Li Liu Dan wan Yulong yin Liwei Xie Department of Endocrinology and Metabolism Zhujiang HospitalSouthern Medical UniversityGuangzhou 510280China State Key Laboratory of Applied Microbiology Southern China Guangdong Provincial Key Laboratory of Microbial Culture Collection and ApplicationGuangdong Open Laboratory of Applied MicrobiologyInstitute of MicrobiologyGuangdong Academy of SciencesGuangzhou 510070China School of Public Health Xinxiang Medical UniversityXinxiang 453003China Department of Infectious Diseases Nanfang HospitalSouthern Medical UniversityGuangzhou 510515China Metabo-Profile Biotechnology(Shanghai)Co.Ltd. Shanghai 201315China Institute of Aging Research Guangdong Provincial Key Laboratory of Medical Molecular DiagnosticsSchool of Medical TechnologyGuangdong Medical UniversityDongguan 524023China Department of Rehabilitation Medicine Nanfang HospitalSouthern Medical UniversityGuangzhou 510000China Laboratory of Animal Nutritional Physiology and Metabolic Process Key Laboratory of Agro-ecological Processes in Subtropical RegionInstitute of Subtropical AgricultureChinese Academy of SciencesChangsha 410125China Bioland Laboratory Guangzhou Regenerative Medicine and Health Guangdong LaboratoryGuangzhou 510005China

The gut microbiota plays a pivotal role in systemic metabolic processes and in particular functions,such as developing and preserving the skeletal muscle system.However,the interplay between gut microbiota/metabolites and the regulation of satellite cell(SC)homeostasis,particularly during aging,remains elusive.We propose that gut microbiota and its metabolites modulate SC physiology and homeostasis throughout skeletal muscle development,regeneration,and aging process.Our investigation reveals that microbial dysbiosis manipulated by either antibiotic treatment or fecal microbiota transplantation from aged to adult mice,leads to the activation of SCs or a significant reduction in the total number.furthermore,employing multi-omics(e.g.,RNA-seq,16S r RNA gene sequencing,and metabolomics)and bioinformatic analysis,we demonstrate that the reduced butyrate levels,alongside the gut microbial dysbiosis,could be the primary factor contributing to the reduction in the number of SCs and subsequent impairments during skeletal muscle aging.Meanwhile,butyrate supplementation can mitigate the antibiotics-induced SC activation irrespective of gut microbiota,potentially by inhibiting the proliferation and differentiation of SCs/myoblasts.The butyrate effect is likely facilitated through the monocarboxylate transporter 1(Mct1),a lactate transporter enriched on membranes of SCs and myoblasts.As a result,butyrate could serve as an alternative strategy to enhance SC homeostasis and function during skeletal muscle aging.Our findings shed light on the potential application of microbial metabolites in maintaining SC homeostasis and preventing skeletal muscle aging.

关键词： gut microbiota aging satellite cells butyrate Slc16a1(Mct1)

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Construction of cytomegalovirus promoter-driven gene expression system in Laodelphax striatellus

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Insect Science 2024年第3期31卷 720-732页

作者： Xiaohui Cheng wan Zhao Guohua Liang Hong Lu Yumei fu Yiming Li Feng Cui State Key Laboratory of Integrated Management of Pest Insects and Rodents Insttute of ZoologyChinese Academy of SciencesBejingChina University of Chinese Academy of Sciences BejingChina School of Life Sciences Hebei UniversityBaodingHebei China Key Laboratory of Animal Ecology and Conservation Biology Institute of ZoologyChinese Academy of SciencesBejingChina Institute of Wetland Ecology&Clone Ecologyl Zhejiang Provincial Key Laboratory of Plant Evolutionary Ecology and Conservation Taizhou UniversityTaizhouZhejiangChina

The small brown planthopper(SBPH,Laodelphax striatellus)is a significant rice pest,responsible for transmitting rice stripe virus(RSV)in a persistent and propagative manner.RSV is one of the most detrimental rice viruses,causing rice stripe disease,which results in considerable loss of rice grain yield.While RNA interference and gene knockout techniques have enabled gene downregulation in SBPH,no system currently exists for the overexpression of endogenous or exogenous genes.Consequently,the development of a protein expression system for SBPH is imperative to serve as a technical foundation for pest control and gene function investigations.This study aimed to construct an expression vector using the promoter of the constitutive-expressed tubulin gene of SBPH,and promoter of human cytomegalovirus(CMV).Fluorescence experiments demonstrated that both tubulin and CMV promoter could drive green fluorescent protein(GFP)expression in SBPH,and could also facilitate the expression of a nucleocapsid protein(NP)-GFP fusion protein containing viral NP with comparable efficiency.Through expression vector optimization,we have identified that the 3 tandem CMV promoters display a significantly higher promoter activity compared with both the 2 tandem CMV promoters and the single CMV promoter.In addition,the incorporation of Star polycation nanoparticles significantly enhanced the expression efficiency in SBPH.These results provide a promising technical platform for investigating gene functions in SBPH.

关键词： cytomegalovirus promoter gene expression system nanoparticle small brown planthopper

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Investigation of Maxima Assumptions in Modelling Tropical Cyclone- Induced Hazards in the South China Sea

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China Ocean Engineering 2024年第3期38卷 491-504页

作者： WEN Ze-guo wanG fu-ming wan Jing YANG Fan School of Civil Engineering Sun Yat-sen University&Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai)Zhuhai 519082China Guangdong Academy of Safety Science and Technology Guangzhou 510060China Guangdong Key Laboratory of Oceanic Civil Engineering Guangzhou 510275China Advanced Energy Science and Technology Guangdong Laboratory(Yangjiang Offshore Wind Energy Laboratory) Yangjiang 529500China

The present study aims to examine the suitability of two commonly used assumptions that simplify modelling metoceanconditions for designing offshore wind turbines in the South China Sea (SCS). The first assumption assumes thatjoint N-year extreme wind and wave events can be independently estimated and subsequently combined. The secondone assumes peak wind and waves can be modelled as occurring simultaneously during a tropical cyclone (TC) event.To better understand the potential TC activity, a set of 10000 years synthetic TC events are generated. The wind fieldmodel and the Mike 21 spectral wave model are employed to model the TC-induced hazards. Subsequently, theeffect of the assumptions is evaluated by analyzing the peak structural response of both monopile and semisubmersibleoffshore wind turbines during TC events. The results demonstrate that the examined assumptions are generally accurate.By assessing the implications of these assumptions, valuable insights are obtained, which can inform andimprove the modelling of TC-induced hazards in the SCS region.

关键词： tropical cyclone numerical wave modelling hazards offshore wind turbines structural response

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Metochalcone induces senescence-associated secretory phenotype via JAK2/STAT3 pathway in breast cancer

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Oncology Research 2024年第5期32卷 943-953页

作者： JIANBO ZHOU FENG wan BIN XIAO XIN LI CHENG PENG fu PENG Department of Pharmacology West China School of PharmacySichuan UniversityChengduChina State Key Laboratory of Southwestern Chinese Medicine Resources Chengdu University of Traditional Chinese MedicineChengduChina Key Laboratory of Drug-Targeting and Drug Delivery System of the Education Ministry Sichuan Engineering Laboratory for Plant-Sourced Drug and Sichuan Research Center for Drug Precision Industrial TechnologySichuan UniversityChengduChina Chengdu No.1 Pharmaceutical Co. Ltd.PengzhouChina Chengdu Push Bio-Technology Co. Ltd.ChengduChina

Breast and lung cancers are the leading causes of mortality and most frequently diagnosed cancers in women and men,respectively,worldwide.Although the antitumor activity of chalcones has been extensively studied,the molecular mechanisms of isoliquiritigenin analog 2',4',4-trihydroxychalcone(metochalcone;TEC)against carcinomas remain less well understood.In this study,we found that TEC inhibited cell proliferation of breast cancer BT549 cells and lung cancer A549 cells in a concentration-dependent manner.TEC induced cell cycle arrest in the S-phase,cell migration inhibition in vitro,and reduced tumor growth in vivo.Moreover,transcriptomic analysis revealed that TEC modulated the activity of the JAK2/STAT3 and P53 pathways.TEC triggered the senescence-associated secretory phenotype(SASP)by repressing the JAK2/STAT3 axis.The mechanism of metochalcone against breast cancer depended on the induction of SASP via deactivation of the JAK2/STAT3 pathway,highlighting the potential of chalcone in senescence-inducing therapy against carcinomas.

关键词： Metochalcone Breast cancer Lung cancer SASP JAK2/STAT3

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Alkali Tolerance of Concrete Internal Curing Agent Based on Sodium Carboxymethyl Starch

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Journal of Wuhan University of Technology(Materials Science) 2024年第1期39卷 82-90页

作者：陈梅花刘荣进 CHEN Ping JING Daiyan wan Dandan fu Siyuan College of Materials Science and Engineering Guilin University of TechnologyGuilin 541004China Guangxi Engineering and Technology Center for Utilization of Industrial Waste Residue in Building Materials Guilin 541004China Guangxi Maibu New Material Limited Company Guilin 541004China

Internal curing agents (ICA) based on super absorbent polymer have poor alkali tolerance and reduce the early strength of concrete.An alkali tolerate internal curing agent (CAA-ICA) was designed and prepared by using sodium carboxymethyl starch (CMS) with high hydrophilicity,acrylic acid (AA) containing anionic carboxylic group and acrylamide (AM) containing non-ionic amide group as the main raw materials.The results show that the ratio of CAA-ICA alkali absorption solution is higher than that existing ICA,which solves the low water absorption ratio of the ICA in alkali environment.The water absorption ratio of CAA-ICA in saturated Ca(OH)_(2) solution is 95.8 g·g^(-1),and the alkali tolerance coefficient is 3.4.The application of CAA-ICA in cement-based materials can increase the internal relative humidity and miniaturize the pore structure.The compressive strength of mortar increases up to 12.95%at 28 d,which provids a solution to overcome the reduction of the early strength.

关键词： alkali tolerance sodium carboxymethyl starch internal curing agent compressive strength

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A novel clinical artificial intelligence model for disease detection via retinal imaging

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The Innovation 2024年第2期5卷 11-12页

作者： Yidian fu Liang Ma Sheng wan Shengfang Ge Zhi Yang Department of Ophthalmology Ninth People’s HospitalShanghai JiaoTong University School of MedicineShanghai 200011China Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology Shanghai 200011China PCA Lab Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of EducationNanjing 210000China Jiangsu Key Lab of Image and Video Understanding for Social Security School of Computer Science and EngineeringNanjing University of Science and TechnologyNanjing 210000China

Artificial intelligence(AI)is an emerging field in which computerized systems are used to carry out complex tasks in place of humans.Medical AI algorithms have been developed for disease diagnosis and prediction and treatment recommendation across various clinical data types,e.g.,chest X-rays,electrocardiograms,and other radiological images.1 In ophthalmology,particularly,great progress has been made in AI systems over the past decade.Color fundus photography(CFP)and optical coherence tomography(OCT),which are readily available in routine clinical practice,are both mainstream and useful retinal imaging modalities in ophthalmology.In September 2023,the 2023 Lasker-Debakey Clinical Medical Research Award was awarded to three scientists for their work on OCT for accurate retinal disease detection.

关键词： clinical routine diagnosis

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