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A review on recent taxonomic updates of gut bacteria associated with social bees,with a curated genomic reference database

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Insect Science 2025年第1期32卷 2-23页

作者： Chengfeng Yang Jiawei Hu Qinzhi Su Zijing zhang Yating Du Jieni Wang Huihui Sun Benfeng Han Junbo Tang Lizhen Guo Hu Li Wanzhi Cai Hao Zheng xin Zhou Xue zhang Department of Entomology College of Plant ProtectionChina Agricultural UniversityBeijingChina Sanya Institute of China Agricultural University Hainan ProvinceChina College of Food Science and Nutritional Engineering China Agricultural UniversityBeijingChina Beijing Laboratory of Biomedical Materials Department of Geriatric DentistryPeking University School and Hospital of StomatologyBeijingChina Hebei Key Laboratory of Animal Physiology Biochemistry and Molecular BiologyCollege of Life SciencesHebei Normal UniversityShijiazhuangChina

Honeybees and bumblebees play a crucial role as essential *** special gut microbiome of social bees is a key factor in determining the overall fitness and health of the *** bees harbor relatively simple microbial communities at the genus level,recent studies have unveiled significant genetic divergence and variations in gene content within each bacterial ***,a comprehensive and refined genomics-based taxonomic database specific to social bee gut microbiomes remains ***,we first provided an overview of the current knowledge on the distribution and function of social bee gut bacteria,as well as the factors that influence the gut population *** then consolidated all available genomes of the gut bacteria of social bees and refined the species-level taxonomy,by constructing a maximum-likelihood core genome phylogeny and calculating genome-wide pairwise average nucleotide *** the basis of the refined species taxonomy,we constructed a curated genomic reference database,named the bee gut microbe genome sequence database(BGM-GDb).To evaluate the species-profiling performance of the curated BGM-GDb,we retrieved a series of bee gut metagenomic data and inferred the species-level composition using metagenomic intra-species diversity analysis system(MIDAS),and then compared the results with those obtained from a prebuilt MIDAS *** found that compared with the default database,the BGM-GDb excelled in aligned read counts and bacterial ***,this high-resolution and precise genomic reference database will facilitate research in understanding the gut community structure of social bees.

关键词： bacterial species BGM-GDb corbiculate bees gut microbiome phylogeny phylotype

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Thrombolysis and extracorporeal cardiopulmonary resuscitation for cardiac arrest due to pulmonary embolism:A case report

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World Journal of Critical Care Medicine 2025年第1期14卷 111-117页

作者： guan-xing Yuan Zhi-Ping zhang Jia Zhou Department of Emergency Wuhan Asia General HospitalWuhan 430056Hubei ProvinceChina Department of Neurosurgery Central Theater Command General HospitalWuhan 430000Hubei ProvinceChina

BACKGROUND Cardiac arrest caused by acute pulmonary embolism(PE)is the most serious clinical circumstance,necessitating rapid identification,immediate cardiopulmonary resuscitation(CPR),and systemic thrombolytic *** CPR(ECPR)is typically employed as a rescue therapy for selected patients when conventional CPR is failing in settings where it can be *** SUMMARY We present a case of a 69-year-old male who experienced a prolonged cardiac arrest in an ambulance with pulseless electrical *** arrival at the emergency department with ongoing manual chest compressions,bedside pointof-care ultrasound revealed an enlarged right ventricle without *** PE was suspected as the cause of cardiac arrest,and intravenous thrombolytic therapy with 50 mg tissue plasminogen activator was administered during mechanical chest *** 31 minutes of CPR,return of spontaneous circulation was not achieved until 8 minutes after initiation of Veno-arterial extracorporeal membrane oxygenation(ECMO)*** ECMO support,the hemodynamic status and myocardial contractility significantly ***,the patient ultimately did not survive due to intracerebral hemorrhagic complications,leading to death a few days later in the *** This case illustrates the potential of combining systemic thrombolysis with ECPR for refractory cardiac arrest caused by acute PE,but it also highlights the increased risk of significant bleeding complications,including fatal intracranial hemorrhage.

关键词： Pulmonary embolism Cardiac arrest Thrombolytic therapy Cardiopulmonary resuscitation Extracorporeal membrane oxygenation Intracranial hemorrhage Case report

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High-temperature oxidation behavior and degradation mechanism of chromium-coated zirconium alloy cladding: a review

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Tungsten 2025年第1期7卷 50-70页

作者： Yi Li Bei-Qi Wang xin-Yin zhang Shi-Jie Wang Cong-Yi Li Hui-Long Yang Ran-Ran Su Tong Liu School of Mechanical Engineering Shanghai Jiao Tong University College and Graduate School of Arts and Sciences University of Virginia Global Institute of Future Technology Shanghai Jiao Tong University

Accident-tolerant fuels(ATF) have been extensively studied to reduce the production rate and total amount of heat and hydrogen generated from high-temperature steam oxidation during severe ***-coated zirconium alloy cladding has become one of the most promising candidates for ATF because of its excellent corrosion and oxidation *** paper provides a comprehensive overview of the research progress on oxidation behaviors and degradation mechanisms in chromium-coated zirconium alloy cladding under high-temperature *** techniques to strengthen the oxidation resistance are highlighted and ***,challenges and opportunities for various future directions are addressed.

关键词： Accident-tolerant fuel Chromium coating Degradation mechanism High-temperature oxidation behavior Zirconium alloy cladding

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Deep learning-based software engineering: progress,challenges, and opportunities

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Science China(Information Sciences) 2025年第1期68卷 57-144页

作者： Xiangping CHEN xing HU Yuan HUANG He JIANG Weixing JI Yanjie JIANG Yanyan JIANG Bo LIU Hui LIU Xiaochen LI Xiaoli LIAN Guozhu MENG xin PENG Hailong SUN Lin SHI Bo WANG Chong WANG Jiayi WANG Tiantian WANG Jifeng XUAN xin XIA Yibiao YANG Yixin YANG Li zhang Yuming ZHOU Lu zhang School of Journalism and Communication Sun Yat-sen University School of Software Technology Zhejiang University School of Software Engineering Sun Yat-sen University School of Software Dalian University of Technology School of Computer Science and Technology Beijing Institute of Technology Key Laboratory of High Confidence Software Technologies (Peking University) Ministry of EducationSchool of Computer Science Peking University State Key Laboratory for Novel Software Technology Nanjing University School of Computer Science and Engineering Beihang University Institute of Information Engineering Chinese Academy of Sciences School of Computer Science Fudan University State Key Laboratory of Complex & Critical Software Environment (CCSE) School of Software Beihang University School of Computer and Information Technology Beijing Jiaotong University School of Computer Science and Technology Harbin Institute of Technology School of Computer Science Wuhan University Huawei Technologies

Researchers have recently achieved significant advances in deep learning techniques, which in turn has substantially advanced other research disciplines, such as natural language processing, image processing, speech recognition, and software engineering. Various deep learning techniques have been successfully employed to facilitate software engineering tasks, including code generation, software refactoring, and fault localization. Many studies have also been presented in top conferences and journals, demonstrating the applications of deep learning techniques in resolving various software engineering tasks. However,although several surveys have provided overall pictures of the application of deep learning techniques in software engineering,they focus more on learning techniques, that is, what kind of deep learning techniques are employed and how deep models are trained or fine-tuned for software engineering tasks. We still lack surveys explaining the advances of subareas in software engineering driven by deep learning techniques, as well as challenges and opportunities in each subarea. To this end, in this study, we present the first task-oriented survey on deep learning-based software engineering. It covers twelve major software engineering subareas significantly impacted by deep learning techniques. Such subareas spread out through the whole lifecycle of software development and maintenance, including requirements engineering, software development, testing, maintenance, and developer collaboration. As we believe that deep learning may provide an opportunity to revolutionize the whole discipline of software engineering, providing one survey covering as many subareas as possible in software engineering can help future research push forward the frontier of deep learning-based software engineering more systematically. For each of the selected subareas,we highlight the major advances achieved by applying deep learning techniques with pointers to the available datasets i

关键词： deep learning software engineering software benchmark software artifact representation survey

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Breaking the structural symmetry of active sites in zeolite imidazolate framework for enhanced CO2 photoreduction

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Science China Chemistry 2025年

作者： Yupeng Han Yayu Yan Qiaohong Li xin Wu Fei Wang Jian zhang State Key Laboratory of Structural Chemistry Fujian Institute of Research on the Structure of Matter Chinese Academy of Sciences University of Chinese Academy of Sciences College of Chemistry Fuzhou University

Adjusting the structure and composition of active sites is a highly effective method for activating linear ***, precise control of interfacial chemistry within molecular-scale environments presents a significant challenge in heterogeneous catalysis. In our study, we present symmetry-broken Mo-O-Co triple-atom active sites within the hybrid zeolite imidazole framework HZIF-CoMo. These sites disrupt the electronic balance and create a weak built-in electric field, thus promoting photocatalytic CO2reduction. The CO yield over HZIF-CoMo is improved to 3.1 mmol g-1h-1, which is over four times higher than the parent cobalt-imidazole framework MAF-6-Co. Both experimental and theoretical studies indicate that electronic modulation through the symmetry-breaking Mo-O-Co moiety acts as an organizing knob to accelerate charge separation and result in more carriers participating in the catalytic reaction. This work provides important insights into optimizing site-related electronic structures for targeted photocatalytic reactions.

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Association between fresh fruit intake and cardiovascular disease risk in patients with diabetes: A prospective cohort study

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中华医学杂志(英文版) 2025年第2期138卷 243-245页

作者： Fang xin zhang xingyi Yang Ze zhang Yefa Huang Shaofeng Chen Tiehui Yu Ling Zhong Wenling Department of Non-communicable Chronic Disease Control Fujian Provincial Center for Disease Control and Prevention Fuzhou Fujian China National Clinical Research Center of Cardiovascular Diseases NHC Key Laboratory of Clinical Research for Cardiovascular Medications State Key Laboratory of Cardiovascular Disease Fuwai Hospital National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China Department of Cardiology Fujian Provincial Hospital Fuzhou Fujian China

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Exploring the mechanism of Xiaoaiping Injection inhibiting autophagy in prostate cancer based on proteomics

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Chinese Journal of Natural Medicines 2025年第1期23卷 64-76页

作者： Qiuping zhang Qiuju Huang Zhiping Cheng Wei Xue Shoushi Liu Yunnuo Liao Xiaolan Li xin Chen Yaoyao Han Dan Zhu Zhiheng Su xin Yang Zhuo Luo Hongwei Guo Department of Traditional Chinese Medicine the First Affiliated Hospital of Guangxi Medical University guangxi Key Laboratory of Bioactive Molecules Research and Evaluation & College of Pharmacy Guangxi Medical University Key Laboratory of Longevity and Aging-related Diseases of Chinese Ministry of Education & Center for Translational Medicine Guangxi Medical University

Xiaoaiping(XAP) Injection demonstrates the anti-prostate cancer(PCa) effects, yet the underlying mechanism remains unclear. This study aims to investigate the impact of XAP on PCa and elucidate its mechanism of action. PCa cell proliferation was evaluated using a cell counting kit-8(CCK-8) assay. Cell apoptosis was assessed through Hoechst staining and Western blotting assays. Proteomics technology was employed to identify key molecules and significant signaling pathways modulated by XAP in PCa cells. To further validate potential key genes and important pathways, a series of assays were conducted, including acridine orange(AO)staining, transmission electron microscopy, and immunofluorescence assays. The molecular mechanism of XAP against PCa in vivo was examined using a PC3 xenograft mouse model. Results demonstrated that XAP significantly inhibited cell proliferation in multiple PCa cell *** C4-2 and prostate cancer cell line-3(PC3) cells, XAP induced cellular apoptosis, evidenced by reduced B-cell lymphoma 2(Bcl-2) levels and elevated Bcl-2-associated X(Bax) levels. Proteomic, immunofluorescence, and quantitative reverse transcription-polymerase chain reaction(q RT-PCR) investigations revealed a strong correlation between forkhead box O3a(Fox O3a) autophagic degradation and the anti-PCa action of XAP. XAP hindered autophagy by reducing the expression levels of autophagy-related protein 5(Atg5)/autophagy-related protein 12(Atg12) and enhancing Fox O3a expression and nuclear translocation. Furthermore,XAP exhibited potent anti-PCa action in PC3 xenograft mice and triggered Fox O3a nuclear translocation in tumor tissue. These findings suggest that XAP induces PCa apoptosis via inhibition of Fox O3a autophagic degradation, potentially offering a novel perspective on XAP injection as an effective anticancer therapy for PCa.

关键词： Apoptosis Autophagy Forkhead box O3a Prostate cancer Xiaoaiping Injection

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Defect Engineering:Can it Mitigate Strong Coulomb Effect of Mg^(2+)in Cathode Materials for Rechargeable Magnesium Batteries?

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Nano-Micro Letters 2025年第1期17卷 135-159页

作者： Zhengqing Fan Ruimin Li xin zhang Wanyu Zhao Zhenghui Pan Xiaowei Yang School of Chemistry and Chemical Engineering Shanghai Jiao Tong UniversityShanghai 200240People’s Republic of China School of Chemistry and Chemical Engineering Taiyuan University of TechnologyTaiyuan 030024People’s Republic of China School of Materials Science and Engineering Tongji UniversityShanghai 201804People’s Republic of China

Rechargeable magnesium batteries(RMBs)have been considered a promising“post lithium-ion battery”system to meet the rapidly increasing demand of the emerging electric vehicle and grid energy storage ***,the sluggish diffusion kinetics of bivalent Mg^(2+)in the host material,related to the strong Coulomb effect between Mg^(2+)and host anion lattices,hinders their further development toward practical *** engineering,regarded as an effective strategy to break through the slow migration puzzle,has been validated in various cathode materials for *** this review,we first thoroughly understand the intrinsic mechanism of Mg^(2+)diffusion in cathode materials,from which the key factors affecting ion diffusion are further ***,the positive effects of purposely introduced defects,including vacancy and doping,and the corresponding strategies for introducing various defects are *** applications of defect engineering in cathode materials for RMBs with advanced electrochemical properties are also ***,the existing challenges and future perspectives of defect engineering in cathode materials for the overall high-performance RMBs are described.

关键词： Rechargeable magnesium battery Sluggish diffusion kinetic Defect engineering Cathode materials Ion migration

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DNMT1 promotes the proliferation and migration of gastric cancer cells by inducing microRNA-125a-5p methylation to promote SERPINE1 protein

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World Journal of Gastrointestinal Oncology 2025年第3期17卷 188-201页

作者： Hui Xie Hui Wang Ru-Hong Li Yue-Wen zhang Xi-Rui Fan Xiao-Xue He Ao-Ran guan Department of General Surgery Yan’an Hospital of Kunming CityKunming 650051Yunnan ProvinceChina Department of Digestive Internal Medicine Yan’an Hospital of Kunming CityKunming 650051Yunnan ProvinceChina

BACKGROUND Gastric cancer(GC)is a malignant tumor originating from gastric mucosal epithelial cells that has high morbidity and ***(miR)are important diagnostic markers and therapeutic targets in this *** To explore the mechanism of miR-125a-5p in the pathogenesis of *** The expression levels of miR-125a-5p,SERPINE1 and DNMT1 in GC cells and tissues were detected by real-time polymerase chain reaction(PCR)and Western ***-specific PCR was used to detect the level of miR-125a-5p methylation.A cell counting kit 8 assay,scratch test,and a Transwell assay were performed to detect the proliferation,migration,and invasiveness of HGC27 cells,*** expression of the epithelial mesenchymal transition(EMT)-related proteins E-cadherin,N-cadherin and vimentin in HGC27 cells was detected by Western blotting,while the expression of vimentin was detected by *** This study revealed that miR-125a-5p was expressed at low levels in GC clinical samples and cells and that miR-125a-5p overexpression inhibited the proliferation,migration,invasiveness and EMT of GC ***,miR-125a-5p can reduce GC cell proliferation,promote E-cadherin expression,inhibit N-cadherin and vimentin expression,and reduce the EMT of GC cells,thus constraining GC cells to a certain ***,DNMT1 inhibited miR-125a-5p expression by increasing the methylation of the miR-125a-5p promoter,thereby promoting the expression of SERPINE1,which acts together with miR-125a-5p to exert antagonistic effects on *** Our study revealed that DNMT1 promoted SERPINE1 protein expression by inducing miR-125a-5p methylation,which led to the proliferation,migration and occurrence of EMT in GC cells.

关键词： Gastric cancer microRNA-125a-5p DNA methyltransferase 1 SERPINE1 Methylation

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机构投资者网络抱团对企业数字化转型的非线性影响

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科技进步与对策 2025年第3期42卷 74-84页

作者：关鑫李枫园首都经济贸易大学工商管理学院北京100070

随着数字技术蓬勃发展,数字化已经成为企业转型的重要方向。基于社会网络理论和注意力基础观,采用2010-2022年沪深A股上市公司为研究样本,从机构投资者视角考察网络抱团对企业数字化转型的影响。结果发现:机构投资者网络抱团对企业数字... 详细信息

随着数字技术蓬勃发展,数字化已经成为企业转型的重要方向。基于社会网络理论和注意力基础观,采用2010-2022年沪深A股上市公司为研究样本,从机构投资者视角考察网络抱团对企业数字化转型的影响。结果发现:机构投资者网络抱团对企业数字化转型具有非线性影响,呈现出“U”形变化趋势。调节效应分析表明,机构投资者网络中心性强化该“U”形关系。机制分析表明,当持股比例小于8.5%时,机构投资者网络抱团通过策略合谋效应抑制企业数字化转型;当持股比例大于8.5%时,机构投资者网络抱团通过监督治理效应和资源协同效应促进企业数字化转型。异质性分析表明,机构投资者团体类别、企业类型、信息环境不同,机构投资者网络抱团对企业数字化转型的影响也呈现差异化。

关键词：机构投资者网络抱团数字化转型策略合谋监督治理资源协同

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