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不同初加工滇龙胆HPLC指纹图谱及其有效成分含量测定

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西南农业学报 2017年第3期30卷 535-541页

作者：左智天王元忠张霁赵艳丽王家金云南省农业科学院药用植物研究所云南昆明650205 云南省省级中药原料质量监测技术服务中心云南昆明650200

建立不同初加工方法滇龙胆(Gentiana rigescens)样品的高效液相色谱(HPLC)指纹图谱,并测定其中马钱苷酸、獐芽菜苦苷、龙胆苦苷和当药苷4种有效成分含量,结合化学计量学方法对4种有效成分含量测定结果进行主成分分析(Principal Componen... 详细信息

建立不同初加工方法滇龙胆(Gentiana rigescens)样品的高效液相色谱(HPLC)指纹图谱,并测定其中马钱苷酸、獐芽菜苦苷、龙胆苦苷和当药苷4种有效成分含量,结合化学计量学方法对4种有效成分含量测定结果进行主成分分析(Principal Component Analysis,PCA),对9种初加工方法进行评价。结果显示,样品间相似度高于0.960。经水洗净后室内通风干燥处理的滇龙胆中獐牙菜苦苷、龙胆苦苷、当药苷含量最高,分别为(5.89±0.23)、(15.62±0.84)和(3.79±0.16)mg/g,微波带皮处理的滇龙胆中马钱苷酸含量最高,为(8.58±1.48)mg/g,4种有效成分总含量达到(27.67±6.09)mg/g。主成分分析结果显示,前2个主成分累积贡献率为86.822%,与4种有效成分的线性关系为F_((PC1))=-0.003X_1+0.409X_2+0.31X_3+0.398X_4,F_((PC2))=0.875X_1-0.168X_2+0.329X_3-0.078X_4;计算不同初加工滇龙胆的主成分综合得分排名,带皮水洗后室内通风干燥滇龙胆综合得分最高。不同初加工处理对滇龙胆有效成分的含量会产生影响,其中带皮水洗后通风干燥的传统初加工方法对滇龙胆品质影响最小,是理想的初加工方法。

关键词：初加工中药指纹图谱主成分分析滇龙胆

Constructing 2D bismuth-based heterostructure for highly efficient photocatalytic CO2 reduction

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Tungsten 2025年第1期7卷 71-79页

作者： Ruo-Hang Xu Hao-Yu Jiang Dan-Dan Cui Kun-Rong Du Hong-Run Zhang Sheng-Jie Xu Ya-Qi Li zhi-Zhen Ren Liang wang Wei-Chang Hao Yi Du School of Physics and BUAA-UOW Joint Research Centre Beihang University Shenzhen Institute of Beihang University Centre for Catalysis and Clean Energy School of Environment and Science Griffith University

Reforming carbon dioxide（CO2） into fuels and valuable chemicals using solar energy holds significant potential for emission reduction and addressing energy supply *** recombination of photocarriers remains a major obstacle,however,to enhancing solar energy conversion efficiency in the photocatalytic reaction *** two-dimensional materials,constructing heterogeneous structures has emerged as an effective strategy to enhance the separation of photoexcited carriers by leveraging the internal electric field at the heterogeneous ***,we present a facile strategy for preparing Bi4NbO8Br/Bi2WO6plate-on-plate Z-scheme junctions with a strong internal electric field by in situ *** unique heterostructure facilitates efficient separation and transport of photoexcited charges by harnessing the internal electric field induced by chemical bonding at the lateral ***,the Bi4NbO8Br/Bi2WO6heterostructure exhibits enhanced CO2photoreduction properties,along with a CO yield rate of approximately 35 μmol·g-1·h-1under full light *** work offers novel insights into the synthesis of unique hetero structures intended to enhance the efficiency of photocatalytic CO2reduction.

关键词： Bi4NbO8Br/Bi2WO6 CO2 reduction Heterostructures Photocatalysts

Selective G6PDH inactivation for Helicobacter pylori eradication with transformed polysulfide

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Science China Life Sciences 2025年

作者： Xiaonan wang Ning Zhou Xuejiao J.Gao Zijing Zhu Minmin Sun Qian wang Haolin Cao Xuetong Wu Caiyu Zhou Qingkang Zheng Ye yuan yuan Liu Lei Chen Jing Jiang Pengcheng Bu Lizeng Gao CAS Engineering Laboratory for Nanozyme Key Laboratory of Biomacromolecules Institute of Biophysics Chinese Academy of Sciences School of Life Sciences University of Chinese Academy of Sciences College of Chemistry and Chemical Engineering Jiangxi Normal University Key Laboratory of Epigenetic Regulation and Intervention Institute of Biophysics Chinese Academy of Sciences Nanozyme Laboratory in Zhongyuan School of Basic Medical Sciences Zhengzhou University Nanozyme Laboratory in Zhongyuan Henan Academy of Innovations in Medical Science

Alternative treatment for the highly prevalent Helicobacter pylori infection is imperative due to rising antibiotic resistance. We unexpectedly discovered that the anti-H. pylori component in garlic is hydrogen polysulfide（H2S_n, n≥2）, not organic polysulfides. Studies on the mechanism of action（MoA） show that H2S_nspecifically inactivates H. pylori glucose-6-phosphate dehydrogenase（G6PDH） by interfering with electron transfer from glucose-6-phosphate（G6P） to nicotinamide adenine dinucleotide phosphate（NADP+）. However, low H2S_nyield makes garlic derivatives hard to be a reliable donor of H2S_nto treat H. pylori infection. To address this challenge, we established a polysulfide transformation process from garlic organosulfur compounds into Fe3S4that generates H2S_nwith a 25–58 times increase in *** chitosan encapsulation, we designed a gastric-adaptive H2S_nmicroreactor（GAPSR） that eradicates H. pylori with 250 times higher efficiency under gastric conditions. A single GAPSR achieves more rapid H. pylori eradication than combined antibiotics therapy without disturbing the gut microbiota. These findings indicate a distinct MoA transformation mediated by polysulfide as an alternative candidate to treat H. pylori infection.

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区域城市化的定量比较

市场与人口分析 2000年第5期6卷 24-30页

作者：李锋张志明王源昌云南师范大学数学系云南昆明650092

城市化必须与经济发展相适应 ,超前或滞后的城市化都会阻碍经济发展。本文提出一种评价我国各省区城市化水平与经济发展水平相适应程度 (城市化率评分 )的数量分析方法 ,并用这种方法 ,分析评价了 1 985- 1 996年全国和云南省的城市化进... 详细信息

城市化必须与经济发展相适应 ,超前或滞后的城市化都会阻碍经济发展。本文提出一种评价我国各省区城市化水平与经济发展水平相适应程度 (城市化率评分 )的数量分析方法 ,并用这种方法 ,分析评价了 1 985- 1 996年全国和云南省的城市化进程 ,以及 1 995年全国各省区的城市化水平。发现全国和各省区的城市化速度均滞后于经济发展速度 ,但是不同经济发展水平地区的滞后程度不同。

关键词：云南城市化实际城市化率理论城市化率

OSCE在八年制与五年制儿童口腔医学教学中的应用

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上海口腔医学 2017年第1期26卷 125-128页

作者：汪璐璐蒋旸周志斐袁帅王小竞军事口腔医学国家重点实验室国家口腔疾病临床医学研究中心陕西省口腔疾病临床医学研究中心第四军医大学口腔医院儿童口腔科陕西西安710032

目的:探索更加全面的、公正的且符合临床需求的考试评估方法,以促进儿童口腔医学双学制教学质量的进一步提高。方法:选取第四军医大学口腔医学院口腔临床医学专业八年制学生15人,五年制学生30人,对其进行客观结构化临床考试(OSCE)和传... 详细信息

目的:探索更加全面的、公正的且符合临床需求的考试评估方法,以促进儿童口腔医学双学制教学质量的进一步提高。方法:选取第四军医大学口腔医学院口腔临床医学专业八年制学生15人,五年制学生30人,对其进行客观结构化临床考试(OSCE)和传统理论考试,并对45名学生进行问卷调查。使用SPSS 11.5软件包对学生成绩进行t检验,对问卷结果以频数、百分比进行统计学描述。结果:八年制学生OSCE平均成绩显著高于五年制,而五年制学生传统理论成绩显著高于八年制学生。大多数学生对OSCE评价良好,赞成OSCE与传统理论考试相结合的考试方式。结论:OSCE作为一种全面的、客观有效的考评体系,有助于学生掌握知识,提高临床实践能力,进一步提高高素质应用型口腔医学人才的培养质量。

关键词： OSCE 儿童口腔医学八年制五年制

早期肠内营养联合肠屏障保护剂治疗急性重症胰腺炎64例

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世界华人消化杂志 2007年第33期15卷 3545-3548页

作者：王远志丁岩冰吴健邓彬肖炜明扬州市第一人民医院消化内科江苏省扬州市225001

目的:探讨早期肠内营养联合肠屏障保护剂在急性重症胰腺炎治疗中的应用价值.方法:将64例SAP患者随机分三组,A组予常规治疗,B组在常规治疗基础上通过鼻空肠管给予早期肠内营养,C组通过鼻空肠管给予早期肠内营养并加用肠屏障保护剂.观察... 详细信息

目的:探讨早期肠内营养联合肠屏障保护剂在急性重症胰腺炎治疗中的应用价值.方法:将64例SAP患者随机分三组,A组予常规治疗,B组在常规治疗基础上通过鼻空肠管给予早期肠内营养,C组通过鼻空肠管给予早期肠内营养并加用肠屏障保护剂.观察患者症状、体征、WBC、CRP、血淀粉酶恢复正常时间,其体质量及血清白蛋白变化情况以及对比其总住院费用、平均每天的住院费用及住院时间.结果:B组在症状、体症、WBC、CRP、血淀粉酶恢复时间以及住院时间、住院费用均明显优于A组(P0.05).结论:在SAP治疗中应用鼻空肠管进行早期肠内营养联合肠屏障保护剂,可以改善SAP患者的营养状况,加快症状恢复,缩短病程,减少医疗费用.

关键词：早期肠内营养肠屏障保护剂重症胰腺炎鼻空肠管

Natural and human-induced decline and spatio-temporal differentiation of terrestrial water storage over the Lancang-Mekong River Basin

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Journal of Geographical Sciences 2025年第1期35卷 112-138页

作者： CHEN Junxu wang yuan ZHAO zhifang FAN Yunjiang LUO Xiaochuan YI Lu FENG Siqi YANG Liang Emlyn Yunnan Key Laboratory of Soil Erosion Prevention and Green Development Yunnan University International Joint Research Center for Karstology Yunnan University School of Engineering Westlake University Department of Geography Ludwig Maximilian University of Munich (LMU)

Due to water conflicts and allocation in the Lancang-Mekong River Basin(LMRB), the spatio-temporal differentiation of total water resources and the natural-human influence need to be clarified. This work investigated LMRB's terrestrial water storage anomaly(TWSA) and its spatio-temporal dynamics during 2002–2020. Considering the effects of natural factors and human activities, the respective contributions of climate variability and human activities to terrestrial water storage change(TWSC) were separated. Results showed that:(1) LMRB's TWSA decreased by 0.3158 cm/a.(2) TWSA showed a gradual increase in distribution from southwest of MRB to middle LMRB and from northeast of LRB to middle LMRB. TWSA positively changed in Myanmar while slightly changed in Laos and China. It negatively changed in Vietnam, Thailand and Cambodia.(3) TWSA components decreased in a descending order of soil moisture, groundwater and precipitation.(4) Natural factors had a substantial and spatial differentiated influence on TWSA over the LMRB.(5) Climate variability contributed 79% of TWSC in the LMRB while human activities contributed 21% with an increasing impact after 2008. The TWSC of upstream basin countries was found to be controlled by climate variability while Vietnam and Cambodia's TWSC has been controlled by human activities since 2012.

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A dry-electrode enabled ECG-on-Chip with arrhythmia-aware data transmission

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Science China(Information Sciences) 2025年

作者： Xinzi XU Yanxing SUO Yang ZHAO Peiyi ZHOU Xiao HAN Qiao CAI Min wang Jiajun yuan Liebin ZHAO Yongfu LI Guoxing wang Yong LIAN Department of Micro-Nano Electronics and MoE Key Lab of Artificial Intelligence Shanghai Jiao Tong University Pediatric AI Clinical Application and Research Center Shanghai Engineering Research Center of Intelligence Pediatrics (SERCIP) Child Health Advocacy Institute Shanghai Children's Medical Center School of MedicineShanghai Jiao Tong University Shanghai Engineering Research Center of Intelligence Pediatrics (SERCIP) Xin Hua Hospital Affiliate to Shanghai Jiao Tong University School of Medicine

Early detection and treatment of cardiovascular diseases (CVDs) can be significantly enhanced through the use of flexible wearable electrocardiogram (ECG) sensors, potentially reducing CVD-related mortality. This paper introduces an ECG-on-Chip (EoC) solution tailored for flexible ECG sensors, incorporating novel features to address common challenges in wearable ECG technology. The EoC integrates a chopper-stabilized capacitively-coupled instrumentation amplifier (CS-CCIA),ensuring a high common-mode rejection ratio (CMRR) and low noise performance. Performance is further boosted via a positive feedback loop (PFL) and a programmable gain amplifier (PGA) with shared on-chip calibration logic, which enhances input impedance and minimizes gain variability to ensure consistent algorithm performance. Additionally, a secondary chopping technique is employed to further reduce noise, achieving an input-referred noise level of 454 nVrms. The embedded algorithm within the EoC is designed to extract clinically meaningful features, facilitating robust real-time arrhythmia analysis. Fabricated using a 0.18μm CMOS process, the EoC consumes 14.9μW with a supply voltage of 1.2 V. The algorithm’s efficacy has been validated over 0.4 million heartbeats, demonstrating a sensitivity of over 99.7%for R-peak detection and 98.3%for arrhythmia analysis. To demonstrate practical application, the EoC has been integrated with a commercial Bluetooth low energy (BLE)transceiver, forming a wireless arrhythmia monitoring sensor equipped with dry electrodes. This system consumes 292.04μW in arrhythmia-aware transmission mode, supporting 13 days of operation with a 30 mAh thin-film battery.

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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