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Investigation on Strengthening Mechanism of China Low-Activation Ferrite Steel upon Thermo-Mechanical Treatment

Acta Metallurgica Sinica(English Letters) 2024年第2期37卷 373-387页

作者： Dongtian Yang Liangyin Xiong Hongbin Liao Guoping Yang Xiaoyu Wang shi liu Institute of Metal Research Chinese Academy of SciencesShenyang110016China School of Materials Science and Engineering University of Science and Technology of ChinaShenyang110016China Center for Fusion Science Southwestern Institute of PhysicsChengdu610041China

The objective of this study was to investigate the influence of strengthening mechanisms on the high-temperature mechanical properties of China low-activation ferrite(CLF-1)steel,which underwent thermodynamic design and thermo-mechanical treatment(TMT).The microstructure characterization in the normalized and tempered condition and the TMT condition was carried out using optical microscopy,X-ray diffractometer,and scanning electron microscopy with electron backscatter diffraction.High-resolution transmission electron microscopy was employed to determine the crystallographic structures of precipitated phases.The results indicated that the addition of Ti led to an increase in the allocation of C in MC phase and an enhancement in the content of MC phase.Compared to CLF-P steel in the normalized and tempered condition,a 1.5-fold increase in dislocation density and an order of magnitude improvement in MX phase density were achieved after TMT.The formation of high-density nano-scale MC phases during TMT played a significant role in precipitation strengthening due to their favorable coherent relationship with the matrix and low interfacial free energy.The excellent high-temperature mechanical properties observed in CLF-P steel after TMT can be attributed to the combined effects of precipitation strengthening,dislocation strengthening,and lath strengthening.

关键词： China low-activation ferrite(CLF-1)steel Thermo-mechanical treatment MC phase Crystallographic structure Strengthening mechanism

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Quantitative trait loci identification reveals zinc finger protein CONSTANS-LIKE 4 as the key candidate gene of stigma color in watermelon(Citrullus lanatus)

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Journal of Integrative Agriculture 2024年第7期23卷 2292-2305页

作者： Shuang Pei Zexu Wu Ziqiao Ji Zheng liu Zicheng Zhu Feishi Luan shi liu Key Laboratory of Biology and Genetic Improvement of Horticultural Crops(Northeast Region) Ministry of Agriculture and RuralAffairs/College of Horticulture and Landscape ArchitectureNortheast Agricultural UniversityHarbin 150030China Institute of Rural Revitalization Science and Technology Heilongjiang Academy of Agricultural SciencesHarbin 150028China

Stigma color is a critical agronomic trait in watermelon that plays an important role in pollination.However,there are few reports on the regulation of stigma color in watermelon.In this study,a genetic analysis of the F2 population derived from ZXG1553(P1,with orange stigma)and W1-17(P2,with yellow stigma)indicated that stigma color is a quantitative trait and the orange stigma is recessive compared with the yellow stigma.Bulk segregant analysis sequencing(BSA-seq)revealed a 3.75 Mb segment on chromosome 6 that is related to stigma color.Also,a major stable effective QTL Clqsc6.1(QTL stigma color)was detected in two years between cleaved amplified polymorphic sequencing(CAPS)markers Chr06_8338913 and Chr06_9344593 spanning a~1.01 Mb interval that harbors 51 annotated genes.Cla97C06G117020(annotated as zinc finger protein CONSTANS-LIKE 4)was identified as the best candidate gene for the stigma color trait through RNA-seq,quantitative real-time PCR(qRT-PCR),and gene structure alignment analysis among the natural watermelon panel.The expression level of Cla97C06G117020 in the orange stigma accession was lower than in the yellow stigma accessions with a significant difference.A nonsynonymous SNP site of the Cla97C06G117020 coding region that causes amino acid variation was related to the stigma color variation among nine watermelon accessions according to their re-sequencing data.Stigma color formation is often related to carotenoids,and we also found that the expression trend of ClCHYB(annotated asβ-carotene hydroxylase)in the carotenoid metabolic pathway was consistent with Cla97C06G117020,and it was expressed in low amounts in the orange stigma accession.These data indicated that Cla97C06G117020 and ClCHYB may interact to form the stigma color.This study provides a theoretical basis for gene fine mapping and mechanisms for the regulation of stigma color in watermelon.

关键词： watermelon stigma color gene mapping zinc finger protein CONSTANS-LIKE 4

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C-reactive protein to albumin ratio predict responses to programmed cell death-1 inhibitors in hepatocellular carcinoma patients

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World Journal of Gastrointestinal Oncology 2024年第1期16卷 61-78页

作者： Bai-Bei Li Lei-Jie Chen shi-liu Lu Biao Lei Gui-Lin Yu Shui-Ping Yu Department of Hepatobiliary Surgery The First Affiliated Hospital of Guangxi Medical UniversityNanning 530021Guangxi Zhuang Autonomous RegionChina Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor(Guangxi Medical University) Ministry of EducationNanning 530021Guangxi Zhuang Autonomous RegionChina Guangxi Key Laboratory of Immunology and Metabolism for Liver Diseases Guangxi Medical UniversityNanning 530021Guangxi Zhuang Autonomous RegionChina Department of Gastroenterology The Second Xiangya Hospital of Central South UniversityNanning 410011Guangxi Zhuang Autonomous RegionChina Department of Emergency The First Affiliated Hospital of Guangxi Medical UniversityNanning 530021Guangxi Zhuang Autonomous RegionChina

BACKGROUND Over the years,programmed cell death-1(PD-1)inhibitors have been routinely used for hepatocellular carcinoma(HCC)treatment and yielded improved survival outcomes.Nonetheless,significant heterogeneity surrounds the outcomes of most studies.Therefore,it is critical to search for biomarkers that predict the efficacy of PD-1 inhibitors in patients with HCC.AIM To investigate the role of the C-reactive protein to albumin ratio(CAR)in evaluating the efficacy of PD-1 inhibitors for HCC.METHODS The clinical data of 160 patients with HCC treated with PD-1 inhibitors from January 2018 to November 2022 at the First Affiliated Hospital of Guangxi Medical University were retrospectively analyzed.RESULTS The optimal cut-off value for CAR based on progression-free survival(PFS)was determined to be 1.20 using x-tile software.Cox proportional risk model was used to determine the factors affecting prognosis.Eastern Cooperative Oncology Group performance status[hazard ratio(HR)=1.754,95%confidence interval(95%CI)=1.045-2.944,P=0.033],CAR(HR=2.118,95%CI=1.057-4.243,P=0.034)and tumor number(HR=2.932,95%CI=1.246-6.897,P=0.014)were independent prognostic factors for overall survival.CAR(HR=2.730,95%CI=1.502-4.961,P=0.001),tumor number(HR=1.584,95%CI=1.003-2.500,P=0.048)and neutrophil to lymphocyte ratio(HR=1.120,95%CI=1.022-1.228,P=0.015)were independent prognostic factors for PFS.Two nomograms were constructed based on independent prognostic factors.The C-index index and calibration plots confirmed that the nomogram is a reliable risk prediction tool.The ROC curve and decision curve analysis confirmed that the nomogram has a good predictive effect as well as a net clinical benefit.CONCLUSION Overall,we reveal that the CAR is a potential predictor of short-and long-term prognosis in patients with HCC treated with PD-1 inhibitors.If further verified,CAR-based nomogram may increase the number of markers that predict individualized prognosis.

关键词： C-reactive protein to albumin ratio Hepatocellular carcinoma Programmed cell death-1 inhibitors Prognosis Nomogram

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Polyphenol components in black chokeberry(Aronia melanocarpa)as clinically proven diseases control factors——an overview

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Food Science and Human Wellness 2024年第3期13卷 1152-1167页

作者： Ningxuan Gao Chi Shu Yuehua Wang Jinlong Tian Yuxi Lang Chenyu Jin Xingyue Cui Hanqian Jiang shi’an liu Zhiying Li Wei Chen Hao Xu Bin Li Department of Food Science College of FoodShenyang Agricultural UniversityShenyang 110161China Department of Food Science and Nutrition College of Biosystems Engineering and Food ScienceZhejiang UniversityHangzhou 310058China Chaoyang Beihe Food Co. Ltd.Chaoyang 122100China

The black chokeberry is rich in polyphenols,including flavonoids with anthocyanins,flavanols and lavonols as the main components and a variety of phenolic acids represented by chlorogenic acid.Because of these polyphenols,black chokeberry has the effect of preventing and adjuvant therapy diseases.This study summarized the current research results on the types and contents of functional components in black chokeberry,and analyzed their digestion,absorption and metabolism in human body.On this basis,the disease control functions that have been proved effective in clinical research were reviewed and analyzed.These studies showed that black chokeberry have good prevention and adjuvant therapy effects on hyperlipidemia,hypertension,diabetes and inflammation.Because there are different functional components in black chokeberry,its prevention and treatment of the same disease can come from multiple pathways,which provides a more reliable effectiveness for the disease control of different populations.

关键词： Black chokeberry Hyperlipidemia Hypertension Diabetes Inflammation

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Calcitriol attenuates liver fibrosis through hepatitis C virus nonstructural protein 3-transactivated protein 1-mediated TGF β1/Smad3 and NF-κB signaling pathways

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World Journal of Gastroenterology 2023年第18期29卷 2798-2817页

作者： liu shi Li Zhou Ming Han Yu Zhang Yang Zhang Xiao-Xue Yuan Hong-Ping Lu Yun Wang Xue-Liang Yang Chen liu Jun Wang Pu Liang Shun-Ai liu Xiao-Jing liu Jun Cheng Shu-Mei Lin Department of Infectious Disease Medicine The First Hospital Affiliated to Xi’an Jiaotong UniversityXi’an 710061Shaanxi ProvinceChina China-Japan Friendship Hospital Department of Infectious Disease China-Japan Friendship HospitalBeijing 100029China Institute of Infectious Diseases Beijing Ditan HospitalCapital Medical UniversityBeijing 100015China The Division of Liver Diseases Beijing Ditan HospitalCapital Medical UniversityBeijing 100015China Institute of Liver Diseases Beijing Pan-Asia Tongze Institute of Biomedicine Co.LtdBeijing 100015China Department of Rehabilitation Medicine The First Affiliated Hospital of Xi’an Jiaotong UniversityXi’an 710061Shaanxi ProvinceChina Beijing Key Laboratory of Emerging Infectious Diseases Peking University Ditan Teaching HospitalBeijing 100015China

BACKGROUND Hepatic fibrosis is a serious condition,and the development of hepatic fibrosis can lead to a series of complications.However,the pathogenesis of hepatic fibrosis remains unclear,and effective therapy options are still lacking.Our group identified hepatitis C virus nonstructural protein 3-transactivated protein 1(NS3TP1) by suppressive subtractive hybridization and bioinformatics analysis,but its role in diseases including hepatic fibrosis remains undefined.Therefore,additional studies on the function of NS3TP1 in hepatic fibrosis are urgently needed to provide new targets for treatment.AIM To elucidate the mechanism of NS3TP1 in hepatic fibrosis and the regulatory effects of calcitriol on NS3TP1.METHODS Twenty-four male C57BL/6 mice were randomized and separated into three groups,comprising the normal,fibrosis,and calcitriol treatment groups,and liver fibrosis was modeled by carbon tetrachloride(CCl4).To evaluate the level of hepatic fibrosis in every group,serological and pathological examinations of the liver were conducted.TGF-β1 was administered to boost the in vitro cultivation of LX-2 cells.NS3TP1,α-smooth muscle actin(α-SMA),collagen I,and collagen Ⅲ in every group were examined using a Western blot and real-time quantitative polymerase chain reaction.The activity of the transforming growth factor beta 1(TGFβ1)/Smad3 and NF-κB signaling pathways in each group of cells transfected with pcDNA-NS3TP1 or siRNA-NS3TP1 was detected.The statistical analysis of the data was performed using the Student’s t test.RESULTS NS3TP1 promoted the activation,proliferation,and differentiation of hepatic stellate cells(HSCs)and enhanced hepatic fibrosis via the TGFβ1/Smad3 and NF-κB signaling pathways,as evidenced by the presence of α-SMA,collagen I,collagen Ⅲ,p-smad3,and p-p65 in LX-2 cells,which were upregulated after NS3TP1 overexpression and downregulated after NS3TP1 interference.The proliferation of HSCs was lowered after NS3TP1 interference and elevated after NS3TP1 overexpression,as shown by the luciferase

关键词： Nonstructural protein 3-transactivated protein 1 Calcitriol Liver fibrosis Hepatic stellate cells Mouse model TGFβ1/Smad3 NF-κB Signaling pathway

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煤棚表面风压的多尺度长短期记忆神经网络预测方法

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工程力学 2024年第S1期41卷 179-186页

作者：火婧刘士杰张珍刘庆宽石家庄铁道大学土木工程学院石家庄050043 石家庄铁道大学省部共建交通工程结构力学行为与系统安全国家重点实验室石家庄050043 河北省风工程和风能利用工程技术创新中心石家庄050043

风荷载是影响大跨度空间结构安全性和稳定性的关键因素之一,因此研究结构表面风压对煤棚结构设计具有重要意义。风洞试验是获取煤棚结构表面风压的主要方法,但其存在成本较高和耗时较长的问题。利用风洞试验积累的大量数据发展风压快速... 详细信息

风荷载是影响大跨度空间结构安全性和稳定性的关键因素之一,因此研究结构表面风压对煤棚结构设计具有重要意义。风洞试验是获取煤棚结构表面风压的主要方法,但其存在成本较高和耗时较长的问题。利用风洞试验积累的大量数据发展风压快速预测方法是目前的研究热点之一。该文以长短期记忆(Long Short-Term Memory,LSTM)神经网络为基础,建立了煤棚结构风压时序预测模型,该模型利用高斯平滑将实验数据分为光滑数据和脉动数据,进而分别训练大尺度网络和小尺度网络。结果表明:所提出的多尺度网络预测模型可以实现对煤棚表面风压的快速预测,且相比于传统LSTM神经网络,多尺度LSTM神经网络具有误差小、精度高等优势。因此,基于LSTM的多尺度神经网络可以为煤棚等大跨空间结构表面风压提供依据。

关键词：煤棚长短期记忆风压预测神经网络大跨空间结构

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TM9SF1 promotes bladder cancer cell growth and infiltration

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World Journal of Clinical Oncology 2024年第2期15卷 302-316页

作者： Long Wei shi-Shuo Wang Zhi-Guang Huang Rong-Quan He Jia-Yuan Luo Bin Li Ji-Wen Cheng Kun-Jun Wu Yu-Hong Zhou shi liu Sheng-Hua Li Gang Chen Department of Urology First Affiliated Hospital of Guangxi Medical UniversityNanning 530021Guangxi Zhuang Autonomous RegionChina Department of Pathology First Affiliated Hospital of Guangxi Medical UniversityNanning 530021Guangxi Zhuang Autonomous RegionChina Department of Medical Oncology First Affiliated Hospital of Guangxi Medical UniversityNanning 530021Guangxi Zhuang Autonomous RegionChina

BACKGROUND Bladder cancer(BC)is the most common urological tumor.It has a high recur-rence rate,displays tutor heterogeneity,and resists chemotherapy.Furthermore,the long-term survival rate of BC patients has remained unchanged for decades,which seriously affects the quality of patient survival.To improve the survival rate and prognosis of BC patients,it is necessary to explore the molecular mechanisms of BC development and progression and identify targets for treatment and intervention.Transmembrane 9 superfamily member 1(TM9SF1),also known as MP70 and HMP70,is a member of a family of nine transmembrane superfamily proteins,which was first identified in 1997.TM9SF1 can be expressed in BC,but its biological function and mechanism in BC are not clear.AIM To investigate the biological function and mechanism of TM9SF1 in BC.Overexpression of TM9SF1 increased the in vitro proliferation,migration,and invasion of BC cells by promoting the entry of BC cells into the G2/M phase.Silencing of TM9SF1 inhibited in vitro proliferation,migration,and invasion of BC cells and blocked BC cells in the G1 phase.CONCLUSION TM9SF1 may be an oncogene in BC.

关键词： TM9SF1 Bladder cancer Biological function Cell function assay Oncogene

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基于动力学模态分解的方柱绕流非定常流场分析

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工程力学 2024年第S1期41卷 326-331页

作者：刘士杰张珍刘庆宽石家庄铁道大学土木工程学院石家庄050043 石家庄铁道大学省部共建交通工程结构力学行为与系统安全国家重点实验室石家庄050043 河北省风工程和风能利用工程技术创新中心石家庄050043

具有方形断面的结构或构件广泛应用于实际工程中,针对方柱绕流风荷载和风致振动特性开展研究至关重要。方柱绕流的尾流效应往往涉及多种复杂流动现象,捕捉其流动主要模态对深入分析流场特性以及流动控制具有重要意义。该文基于动力学模... 详细信息

具有方形断面的结构或构件广泛应用于实际工程中,针对方柱绕流风荷载和风致振动特性开展研究至关重要。方柱绕流的尾流效应往往涉及多种复杂流动现象,捕捉其流动主要模态对深入分析流场特性以及流动控制具有重要意义。该文基于动力学模态分解(Dynamic Mode Decomposition,DMD)方法建立了能够提取流场主要模态并进行流场重构的降阶模型。基于数值模拟获取非定常流场快照;利用DMD进行主要模态提取;基于提取的主要模态对非定常流场进行重构。结果表明:DMD方法提取的前4阶模态能够准确重构原始流场,为流动控制和结构设计提供参考。

关键词：动力学模态分解方柱绕流数据驱动非定常流动降阶模型

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生酮饮食在肿瘤治疗中的临床应用与研究进展

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生理科学进展 2024年第1期55卷 73-79页

作者：刘诗贺中国人民解放军总医院第一医学中心普通外科医学部北京100080

癌症是目前全球人类重要死因之一,其传统的临床治疗方法包括手术、放疗和化疗等。然而,癌症的传统治疗手段有明显的局限性,因此临床上亟需发展有效安全的治疗或辅助治疗手段。高脂低糖的生酮饮食(ketogenic diet)能够利用肿瘤代谢重编... 详细信息

癌症是目前全球人类重要死因之一,其传统的临床治疗方法包括手术、放疗和化疗等。然而,癌症的传统治疗手段有明显的局限性,因此临床上亟需发展有效安全的治疗或辅助治疗手段。高脂低糖的生酮饮食(ketogenic diet)能够利用肿瘤代谢重编程特性,限制肿瘤细胞的能量来源。本文概述了生酮饮食在肿瘤治疗方面的可行性、单独应用的抗肿瘤疗效、作为辅助手段联合应用的抗肿瘤疗效及其可能机制,为生酮饮食在肿瘤的临床治疗提供理论基础。

关键词：生酮饮食肿瘤辅助治疗机制

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Machine learning applications for the prediction of extended length of stay in geriatric hip fracture patients

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World Journal of Orthopedics 2023年第10期14卷 741-754页

作者： Chu-Wei Tian Xiang-Xu Chen liu shi Huan-Yi Zhu Guang-Chun Dai Hui Chen Yun-Feng Rui Department of Orthopaedics Zhongda HospitalSchool of MedicineSoutheast UniversityNanjing 210009Jiangsu ProvinceChina Multidisciplinary Team for Geriatric Hip Fracture Comprehensive Management Zhongda HospitalSchool of MedicineSoutheast UniversityNanjing 210009Jiangsu ProvinceChina Trauma Center Zhongda HospitalSchool of MedicineSoutheast UniversityNanjing 210009Jiangsu ProvinceChina

BACKGROUND Geriatric hip fractures are one of the most common fractures in elderly individuals,and prolonged hospital stays increase the risk of death and complications.Machine learning(ML)has become prevalent in clinical data processing and predictive models.This study aims to develop ML models for predicting extended length of stay(eLOS)among geriatric patients with hip fractures and to identify the associated risk factors.AIM To develop ML models for predicting the eLOS among geriatric patients with hip fractures,identify associated risk factors,and compare the performance of each model.METHODS A retrospective study was conducted at a single orthopaedic trauma centre,enrolling all patients who underwent hip fracture surgery between January 2018 and December 2022.The study collected various patient characteristics,encompassing demographic data,general health status,injury-related data,laboratory examinations,surgery-related data,and length of stay.Features that exhibited significant differences in univariate analysis were integrated into the ML model establishment and subsequently cross-verified.The study compared the performance of the ML models and determined the risk factors for eLOS.RESULTS The study included 763 patients,with 380 experiencing eLOS.Among the models,the decision tree,random forest,and extreme Gradient Boosting models demonstrated the most robust performance.Notably,the artificial neural network model also exhibited impressive results.After cross-validation,the support vector machine and logistic regression models demonstrated superior performance.Predictors for eLOS included delayed surgery,D-dimer level,American Society of Anaesthesiologists(ASA)classification,type of surgery,and sex.CONCLUSION ML proved to be highly accurate in predicting the eLOS for geriatric patients with hip fractures.The identified key risk factors were delayed surgery,D-dimer level,ASA classification,type of surgery,and sex.This valuable information can aid clinicians in allocating resources more efficiently to meet

关键词： Machine learning Extended length of stay Hip fracture Enhanced recovery after surgery Risk factors

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