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Carbonic anhydrase 2 mediates anti-obesity effects of black tea as thermogenic activator

Food Science and Human Wellness 2024年第5期13卷 2917-2936页

作者： Peng Ma Jie Xiao Biyu Hou Ping He Xinyu Yang Yisa Wang Zijing Wang Tianshu Xu Xiuying Yang Xuan Zhu shasha xiang Song Li Guanhua Du Jian Ying Guifen Qiang State Key Laboratory of Bioactive Substance and Function of Natural Medicines Institute of Materia MedicaChinese Academy of Medical Sciences and Peking Union Medical College and Beijing Key Laboratory of Drug Target and Screening ResearchBeijing 100050China COFCO Nutrition and Health Research Institute Beijing 102209China Department of Pharmacy The Eighth Affiliated HospitalSun Yat-sen UniversityShenzhen 518000China Faculty of Biology Medicine and Health SciencesThe University of ManchesterManchester M139PLUnited Kingdom Changchun University of Chinese Medicine Changchun 130117China School of Food Science and Biotechnology Zhejiang Gongshang UniversityHangzhou 310018China China Tea Technology(Beijing)Co. Ltd.Beijing 102209China Beijing Key Laboratory of Nutrition Health and Food SafetyBeijing 102209China

Obesity is a metabolic disorder due to over-accumulation of adipose tissue and ultimately becomes a“disease”.Brown adipose tissue(BAT)thermogenesis and white adipose tissue(WAT)browning emerge as a potential strategy of anti-obesity by dissipating energy as ***,drugs based on adipose tissue thermogenesis have not been successfully approved *** current study,we found that black tea extract(BTE)obtained by patentauthorized manufacturing process prevented body weight gain as novel thermogenic activator with reduction of adiposity,improvement of adipose distribution,and glucose metabolism improvement in diet-induced obesity ***,anti-obesity effect of BTE depends on promoting BAT thermogenesis and WAT browning with upregulation of uncoupling protein 1(UCP1),especially visceral adipose tissue(VAT)with browning ***,utilizing in silico approach of network pharmacology and molecular docking,we identified carbonic anhydrase 2(CA2)in nitrogen metabolism as anti-obesity target of BTE and further elucidated that protein kinase B(AKT)signaling pathway linked CA2 and *** gut microbiota regulation may prompt the CA2-dependent thermogenesis *** findings demonstrated anti-obesity effect of BTE as thermogenic activator through CA2-mediated BAT thermogenesis and WAT browning via CA2-AKT-UCP1 signaling pathway,which could be developed as promising anti-obesity agent with good safety and efficacy.

关键词： Obesity Black tea Thermogenesis Browning Adipose tissue

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卷曲乳酸杆菌的分离鉴定及体外益生菌特性评价

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中华生殖与避孕杂志 2024年第2期44卷 130-134页

作者：陈秀菊向沙沙朱炫孙宁霞海军军医大学第二附属医院生殖医学中心上海200003 潍坊易北特健康食品有限公司潍坊261057 浙江省食品安全重点实验室浙江工商大学食品与生物工程学院杭州310018

目的分离并筛选健康女性阴道中的卷曲乳酸杆菌并评估其体外益生特性,为进一步筛选有效治疗女性生殖系统疾病的微生态制剂提供新型菌株。方法2023年4月至2023年5月期间采集海军军医大学第二附属医院体检中心10名健康女性阴道分泌物并分... 详细信息

目的分离并筛选健康女性阴道中的卷曲乳酸杆菌并评估其体外益生特性,为进一步筛选有效治疗女性生殖系统疾病的微生态制剂提供新型菌株。方法2023年4月至2023年5月期间采集海军军医大学第二附属医院体检中心10名健康女性阴道分泌物并分离筛选卷曲乳酸杆菌,通过16S rRNA序列鉴定卷曲乳酸杆菌,并测定其生长特性、产酸能力、产H 2O 2能力、抑菌能力。结果从10名健康女性阴道内共分离并鉴定出39株卷曲乳酸杆菌。本实验卷曲乳酸杆菌的生长对数期为10~40 h,其中卷曲乳酸杆菌4-5及卷曲乳酸杆菌6-7生长速度较快。本实验卷曲乳酸杆菌的pH在8~24 h内下降速度较快,48 h菌液的pH稳定在3.89~4.05之间,其中卷曲乳酸杆菌6-6、6-7、6-9、6-11的产酸性能较好。筛选的10株卷曲乳酸杆菌均能产H 2O 2,其中卷曲乳酸杆菌4-5、4-11、6-5、6-7产H 2O 2性能较好。卷曲乳酸杆菌6-5、6-7和6-9抑制白假丝酵母菌的效果较好,其抑菌圈直径分别为(20.90±0.31)mm、(20.61±0.70)mm、(21.73±0.37)mm;卷曲乳酸杆菌4-5、6-5和6-7抑制金黄色葡萄球菌的效果较好,其抑菌圈直径分别为(20.95±0.07)mm、(23.52±0.49)mm、(23.49±0.34)mm;卷曲乳酸杆菌6-5、6-6和6-7抑制大肠埃希菌的效果较好,其抑菌圈直径分别为(19.03±0.23)mm、(18.20±0.18)mm、(18.55±0.29)mm。结论卷曲乳酸杆菌6-5和卷曲乳杆菌6-7产酸能力、产H 2O 2能力、抑菌活性较好,具有优良的生物学特性,有望成为用于治疗女性生殖系统疾病微生态制剂的备选菌株。

关键词：卷曲乳酸杆菌乳酸菌分离鉴定

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Larger in-plane upper critical field and superconducting diode effect observed in topological superconductor candidate InNbS_(2)nanoribbons

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Nano Research 2024年第7期17卷 6686-6694页

作者： Bo Zheng Changlong Wang Xukun Feng Xiaozhen Sun shasha Wang Dawei Qiu xiang Ma Ruimin Li Guanglei Cheng Lan Wang Yalin Lu Peng Li Shengyuan A.Yang Bin xiang Department of Materials Science and Engineering CAS Key Lab of Materials for Energy ConversionAnhui Laboratory of Advanced Photon Science and TechnologyUniversity of Science and Technology of ChinaHefei 230026China Research Laboratory for Quantum Materials Singapore University of Technology and DesignSingapore 487372Singapore School of Microelectronics University of Science and Technology of ChinaHefei 230052China CAS Key Laboratory of Microscale Magnetic Resonance and School of Physical Sciences University of Science and Technology of ChinaHefei 230026China Lab of Low Dimensional Magnetism and Spintronic Devices School of PhysicsHefei University of TechnologyHefei 230009China Research Laboratory for Quantum Materials IAPMEUniversity of MacaoMacaoChina

Recently,the coexistence of topology and superconductivity has garnered considerable ***,the dimensionality of these materials is crucial for the realization of topological quantum ***,the naturally grown materials,especially with one-dimensional feature that exhibits the coexistence of topology and superconductivity,still face challenges in terms of experimental realization and scalability,which hinders the fundamental research development and the potential to revolutionize quantum ***,we report the first experimental synthesis of quasi-one-dimensional InNbS_(2)nanoribbons that exhibit the coexistence of topological order and superconductivity via a chemical vapor transport ***,the inplane upper critical field of InNbS_(2)nanoribbons exceeds the Pauli paramagnetic limit by more than 2.2 times,which can be attributed to the enhanced spin-orbit coupling and the weakened interlayer interaction between the NbS_(2)layers induced by the insertion of In atoms,making InNbS_(2)exhibit spin-momentum locking similar to that of monolayer NbS_(2).Moreover,for the first time,we report the superconducting diode effect in a quasi-one-dimensional superconductor system without any inherent geometric *** measured maximum efficiency is manifested as 14%,observed atμ0H≈±60 mT,and we propose that the superconducting diode effect can potentially be attributed to the presence of the nontrivial topological *** work provides a platform for studying exotic phenomena in condensed matter physics and potential applications in quantum computing and quantum information processing.

关键词： topological order superconductivity nanoribbon superconducting anisotropy superconducting diode

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Edge Device Fault Probability Based Intelligent Calculations for Fault Probability of Smart Systems

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Tsinghua Science and Technology 2024年第4期29卷 1023-1036页

作者： shasha Li Tiejun Cui Wattana Viriyasitavat School of Environmental and Chemical Engineering Shenyang Ligong UniversityShenyang 110159China Chulalongkorn Business School Faculty of Commerce and AccountancyChulalongkorn UniversityBangkok 10900Thailand

In a smart system, the faults of edge devices directly impact the system’s overall fault. Further, complexity arises when different edge devices provide varying fault data. To study the Smart System Fault Evolution Process (SSFEP) under different fault data conditions, an intelligent method for determining the Smart System Fault Probability (SSFP) is proposed. The data types provided by edge devices include the following: (1) only known edge device fault probability;(2) known Edge Device Fault Probability Distribution (EDFPD);(3) known edge device fault number and EDFPD;(4) known factor state of the edge device fault and EDFPD. Moreover, decision methods are proposed for each data case. Transfer Probability (TP) is divided into Continuity Transfer Probability (CTP) and Filterability Transfer Probability (FTP). CTP asserts that a Cause Event (CE) must lead to a Result Event (RE), while FTP requires CF probability to exceed a threshold before RF occurs. These probabilities are used to calculate SSFP. This paper introduces a decision method using the information diffusion principle for low-data SSFP determination, along with an improved method. The method is based on space fault network theory, abstracting SSFEP into a System Fault Evolution Process (SFEP) for research purposes.

关键词： smart systems intelligent science edge device fault probability decision method

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Effects of Boron Addition on the Microstructure and Mechanical Properties ofγ′‑Strengthened Directionally Solidified CoNi‑Base Superalloy

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Acta Metallurgica Sinica(English Letters) 2024年第8期37卷 1438-1452页

作者： shasha Qu Yingju Li Bingyu Lu Cuiping Wang Yuansheng Yang Institute of Metal Research Chinese Academy of SciencesShenyang 110016China Guangdong Institute of Special Equipment Inspection and Research Foshan 528251China College of Materials and Fujian Provincial Key Laboratory of Materials Genome Xiamen UniversityXiamen 361005China

The effects of B addition on microstructure and mechanical properties of aγ′-strengthened CoNi-base superalloy are *** addition of B leads to a substantial increase in the volume fraction of both the eutectic structure and *** CoNi-base alloy shows a high solubility limit for the element *** become noticeable in the area surrounding the eutectic structure after the B level exceeds 0.46 at.%.It is found that the compression property and stress rupture life of the 4W2Ta alloys exhibit an initial rise followed by a subsequent drop as the B content gradually increases from 0.08 to 0.78 at.%.The 4W2Ta0.46B alloy demonstrates the most excellent high-temperature strength and stress rupture life,revealing that a moderate amount of B in the alloy noticeably enhances its mechanical properties by enhancing the grain boundary cohesion.

关键词： CoNi-base superalloy Borides Grain boundary Microstructure Mechanical properties

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分枝杆菌非典型错配修复及其在抗生素耐药中的研究进展

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遗传 2023年第11期45卷 1018-1027页

作者：向莎莎谢建平西南大学生命科学学院现代生物医药研究所重庆400715

错配修复(mismatch repair,MMR)是生物体DNA复制后的一种常见修复系统,对于维持基因组稳定性至关重要,其关键步骤由MutS和MutL蛋白家族的成员执行,尽管这种修复途径十分重要,但在许多古菌和放线菌基因组中并不存在MutS或MutL的同源蛋白... 详细信息

错配修复(mismatch repair,MMR)是生物体DNA复制后的一种常见修复系统,对于维持基因组稳定性至关重要,其关键步骤由MutS和MutL蛋白家族的成员执行,尽管这种修复途径十分重要,但在许多古菌和放线菌基因组中并不存在MutS或MutL的同源蛋白。这类细菌(例如分枝杆菌等)采用另一种非典型的MMR途径,由核酸内切酶EndoMS/NucS发挥关键作用,与典型MMR蛋白(MutS/MutL)相比没有结构同源性。EndoMS/NucS介导的非典型错配修复在分枝杆菌DNA修复、突变和同源重组以及抗生素耐药等方面发挥重要作用。本文通过对比典型MMR途径和非典型MMR途径,深入阐述了分枝杆菌EndoMS/NucS介导的非典型MMR途径及其最新进展,以期为分枝杆菌错配修复分子机制带来新见解以及对分枝杆菌抗生素治疗提供研究线索。

关键词：分枝杆菌错配修复 EndoMS/NucS 抗生素耐药

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Predicting PM_(2.5) Concentration in the Yangtze River Delta Region Using Climate System Monitoring Indices and Machine Learning

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Journal of Meteorological Research 2024年第2期38卷 249-261页

作者： Jinghui MA Shiquan WAN shasha XU Chanjuan WANG Danni QIU Shanghai Typhoon Institute Shanghai Meteorological ServiceShanghai 200030 Key Laboratory of Polar Atmosphere-Ocean-Iice System for Weather and Climate Ministry of EducationDepartment of Atmospheric and Oceanic SciencesFudan UniversityShanghai 200438 Shanghai Key Laboratory of Meteorology and Health Shanghai Meteorological ServiceShanghai 200030 Yangzhou Meteorological Office Yangzhou 225001 Department of Physics Yangzhou UniversityYangzhou 225003

Changing meteorological conditions during autumn and winter have considerable impact on air quality in the Yangtze River Delta(YRD)*** climatic factors,such as sea surface temperature and sea ice,together with the atmospheric circulation,directly affect meteorological conditions in the YRD region,thereby modulating the variation in atmospheric PM_(2.5) *** study used the evolutionary modeling machine learning technique to investigate the lag relationship between 144 climate system monitoring indices and autumn/winter PM_(2.5) concentration over 0-12 months in the YRD *** calculating the contribution ratios and lagged correlation coefficients of all indices over the previous 12 months,the top 36 indices were selected for model ***,the nine indices that contributed most to the PM_(2.5) concentration in the YRD region,including the decadal oscillation index of the Atlantic Ocean and the consistent warm ocean temperature index of the entire tropical Indian Ocean,were selected for physical mechanism *** evolutionary model was developed to forecast the average PM_(2.5) concentration in major cities of the YRD in autumn and winter,with a correlation coefficient of *** model testing,the correlation coefficient between the predicted and observed PM_(2.5) concentrations was in the range of 0.73-0.83 and the root-mean-square error was in the range of 9.5-11.6μg m-3,indicating high predictive *** model performed exceptionally well in capturing abnormal changes in PM_(2.5) concentration in the YRD region up to 50 days in advance.

关键词： PM_(2.5)concentration machine learning evolutionary modeling seasonal prediction

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SciCN:A Scientific Dataset for Chinese Named Entity Recognition

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Computers, Materials & Continua 2024年第3期78卷 4303-4315页

作者： Jing Yang Bin Ji shasha Li Jun Ma Jie Yu College of Computer National University of Defense TechnologyChangsha410073China

Named entity recognition(NER)is a fundamental task of information extraction(IE),and it has attracted considerable research attention in recent *** abundant annotated English NER datasets have significantly promoted the NER research in the English *** contrast,much fewer efforts are made to the Chinese NER research,especially in the scientific domain,due to the scarcity of Chinese NER *** alleviate this problem,we present aChinese scientificNER dataset–SciCN,which contains entity annotations of titles and abstracts derived from 3,500 scientific *** manually annotate a total of 62,059 entities,and these entities are classified into six *** to English scientific NER datasets,SciCN has a larger scale and is more diverse,for it not only contains more paper abstracts but these abstracts are derived from more research *** investigate the properties of SciCN and provide baselines for future research,we adapt a number of previous state-of-theart Chinese NER models to evaluate *** results show that SciCN is more challenging than other Chinese NER *** addition,previous studies have proven the effectiveness of using lexicons to enhance Chinese NER *** by this fact,we provide a scientific domain-specific *** results demonstrate that our lexicon delivers better performance gains than lexicons of other *** hope that the SciCN dataset and the lexicon will enable us to benchmark the NER task regarding the Chinese scientific domain and make progress for future *** dataset and lexicon are available at:https://***/yangjingla/***.

关键词： Named entity recognition dataset scientific information extraction lexicon

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Adaptively Enhancing Facial Expression Crucial Regions via a Local Non-local Joint Network

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Machine Intelligence Research 2024年第2期21卷 331-348页

作者： Guanghui Shi shasha Mao Shuiping Gou Dandan Yan Licheng Jiao Lin Xiong School of Artificial Intelligence Xidian UniversityXi'an 710000China Applied Research Laboratory Sense TimeXi'an 710000China

Facial expression recognition(FER)is still challenging due to the small interclass discrepancy in facial expression *** view of the significance of facial crucial regions for FER,many existing studies utilize the prior information from some annotated crucial points to improve the performance of ***,it is complicated and time-consuming to manually annotate facial crucial points,especially for vast wild expression *** on this,a local non-local joint network is proposed to adaptively enhance the facial crucial regions in feature learning of FER in this *** the proposed method,two parts are constructed based on facial local and non-local information,where an ensemble of multiple local networks is proposed to extract local features corresponding to multiple facial local regions and a non-local attention network is addressed to explore the significance of each local *** particular,the attention weights obtained by the non-local network are fed into the local part to achieve interactive feedback between the facial global and local ***,the non-local weights corresponding to local regions are gradually updated and higher weights are given to more crucial ***,U-Net is employed to extract the integrated features of deep semantic information and low hierarchical detail information of expression ***,experimental results illustrate that the proposed method achieves more competitive performance than several state-of-the-art methods on five benchmark datasets.

关键词： Facial expression recognition deep neural network multiple network ensemble attention network facial crucial regions

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Span-based joint entity and relation extraction augmented with sequence tagging mechanism

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Science China(Information Sciences) 2024年第5期67卷 84-98页

作者： Bin JI shasha LI Hao XU Jie YU Jun MA Huijun LIU Jing YANG College of Computer National University of Defense Technology

Span-based joint extraction simultaneously conducts named entity recognition(NER) and relation extraction(RE) in a text span form. However, since previous span-based models rely on span-level classifications, they cannot benefit from token-level label information, which has been proven advantageous for the task. In this paper, we propose a sequence tagging augmented span-based network(STSN), a spanbased joint model that can make use of token-level label information. In STSN, we construct a core neural architecture by deep stacking multiple attention layers, each of which consists of three basic attention *** the one hand, the core architecture enables our model to learn token-level label information via the sequence tagging mechanism and then uses the information in the span-based joint extraction; on the other hand, it establishes a bi-directional information interaction between NER and RE. Experimental results on three benchmark datasets show that STSN consistently outperforms the strongest baselines in terms of F1,creating new state-of-the-art results.

关键词： joint extraction named entity recognition relation extraction span sequence tagging mechanism

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