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Analysis on Demonstration Application of Silicon Fertilizer in Field Cultivation of Rice

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Agricultural Biotechnology 2024年第1期13卷 24-27页

作者： Fan YANG lingyun dai Yandu Grain and Oil Crops Technical Guidance Station Yancheng CityJiangsu ProvinceYancheng 224000China Yandu Agricultural Science Research Institute Yancheng CityYancheng 224055China

[Objectives]This study was conducted to investigate the scientific application of silicon fertilizer in rice cultivation,one of the staple crops.[Methods]In 2022,Yandu District carried out a special experiment and field demonstration study on the effects of foliar application of Zhengda water-soluble silicon fertilizer on rice production.[Results]The preliminary results showed that①Zhengda water-soluble silicon fertilizer could effectively improve the growth and development of rice and improve the population *** peak number of tillers,productive tiller percentage,number of effective panicles and number of effective grains per panicle increased by 6.7%,5.8%,5.5%,and 1.2%,respectively.②The yield and processing quality were *** applying silicon fertilizer,the yield per unit area increased by about 6.8%,and the unpolished rice yield,milled rice yield and head rice yield increased by 0.7%,1.94%and 2.15%respectively.[Conclusions]The demonstration application of silicon fertilizer in field cultivation of rice in Yandu District further proves previous research conclusions and has important practical significance.

关键词： Rice Silicon fertilizer Foliar application Effect

Diagnostic Classification of Lung Cancer Using Deep Transfer Learning Technology and Multi-Omics Data

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Chinese Journal of Electronics 2021年第5期30卷 843-852页

作者： ZHU Rong dai lingyun LIU Jinxing GUO Ying School of Computer Science Qufu Normal University School of Automation Central South University

In recent years, with the increasing application of highthroughput sequencing technology,researchers have obtained and accumulated a large amount of multi-omics data, making it possible to diagnose cancer at the gene expression level. The proliferation of various omics data can provide a large amount of biological information, which brings new opportunities and great challenges as well to cancer classification and *** learning algorithms for early diagnosis of lung cancer have emerged that distinguish cancers of the early and late stages by using genomic features. Omics data are generally characterized with low sample size,high dimensionality and high noise. Therefore, simple direct application of common classification methods cannot achieve better performance and must be improved in a targeted manner. This paper puts forward a combined convolutional neural network and convolutional autoencoders approach to construct a deep migratory learning classification model for early lung cancer diagnosis. First,the convolutional auto-encoders algorithm is used to reduce the dimensionality of the dataset in order to make it better meet the requirements of migration ***, a neural network model is constructed with the original dataset and the existing labeled dataset, and the model migration rules are set as well. Finally, a small number of labeled target datasets are used in the training to complete the construction of the classification *** proposed convolutional neural network method based on model migration and five other popular machine learning models are used to classify and predict the three lung cancer gene datasets and the integrated *** experimental results show that such four evaluation metrics as accuracy, precision, recall, and f1-score with our proposed method have obtained better prediction performance, and the average area under curve result also shows our proposed method is optimal.

关键词： Image and video coding Image recognition X-ray techniques: radiography and computed tomography (biomedical imaging/measurement) Computer vision and image processing techniques X-rays and particle beams (medical uses) Biology and medical computing Machine learning (artificial intelligence) Neural nets Diagnostic classification Deep transfer learning Multiomics data Lung cancer

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养老机构老年人归属感的研究进展

中华护理杂志 2024年第10期59卷 1201-1204页

作者：彭思思刘璟莹罗如珍代玲云胡家欣刘彦慧天津中医药大学研究生院天津市301617 天津中医药大学护理学院天津市301617 天津医科大学护理学院

改善养老机构老年人归属感对提升养老机构老年人的自我价值感和自我认同感,满足养老机构老年人的精神需求具有重要意义。该文从养老机构老年人归属感的概念、现状、测评工具和影响因素等方面进行综述,提出测量养老机构老年人归属感的工... 详细信息

改善养老机构老年人归属感对提升养老机构老年人的自我价值感和自我认同感,满足养老机构老年人的精神需求具有重要意义。该文从养老机构老年人归属感的概念、现状、测评工具和影响因素等方面进行综述,提出测量养老机构老年人归属感的工具较为缺乏,同时以护理人员为核心的干预策略仍需进一步探索。

关键词：养老机构老年人归属感综述护理

微小RNA-21联合磷酸酶和同源盒蛋白D9检测在结直肠癌中的临床价值

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中华实验外科杂志 2024年第2期41卷 340-343页

作者：蒋磊代凌云赵春虎曾放石小康聂琳长江大学附属荆州医院急诊外科荆州434020 长江大学附属荆州医院胃肠外科荆州434020 湖北文理学院附属医院襄阳市中心医院消化内科襄阳441021

目的探讨微小RNA-21(miR-21)联合同源盒蛋白D9(HOXD9)检测在结直肠癌中的临床价值。方法选择结直肠癌患者(CRC组)及结直肠良性疾病患者(对照组)为研究对象, 采用实时荧光定量聚合酶链反应(RT-qPCR)检测miR-21及HOXD9表达, 比较不同临床... 详细信息

目的探讨微小RNA-21(miR-21)联合同源盒蛋白D9(HOXD9)检测在结直肠癌中的临床价值。方法选择结直肠癌患者(CRC组)及结直肠良性疾病患者(对照组)为研究对象, 采用实时荧光定量聚合酶链反应(RT-qPCR)检测miR-21及HOXD9表达, 比较不同临床病理因素中miR-21及HOXD9的差异。采用ROC曲线分析miR-21联合HOXD9预测结直肠癌1年预后不良的效能。多因素Logistics回归分析结直肠癌死亡的危险因素。Kaplan-Meier法分析miR-21、HOXD9表达与生存期的关系。结果 CRC组结直肠癌患者肿瘤组织miR-21、HOXD9表达均高于癌旁组织和对照组(miR-21分别为0.74±0.08比0.43±0.05、0.44±0.06, HOXD9分别为0.92±0.11比0.57±0.06、0.56±0.07), 差异有统计学意义(F=23.722、18.917, P<0.05)。CRC组低分化、肿瘤最大径≥5 cm、T3~T4、有淋巴结转移及Ⅲ~Ⅳ期患者miR-21、HOXD9表达显著高于中-高分化、肿瘤最大径<5 cm、T1~T2、无淋巴结转移及Ⅰ~Ⅱ期患者。HOXD9联合miR-21预测结直肠癌1年预后不良敏感度、特异度及AUC均高于miR-21、HOXD9、肿瘤分化程度、肿瘤最大径、肿瘤浸润深度、淋巴结转移、TNM分期(敏感度分别0.921比0.824、0.815、0.681、0.667、0.652、0.638、0.644, 特异度分别0.917比0.798、0.769、0.667、0.659、0.673、0.624、0.672, AUC分别0.924比0.801、0.795、0.625、0.658、0.671、0.681、0.701)。Logistics回归分析, 显示miR-21≥0.74、HOXD9≥0.92、为结直肠癌死亡的独立危险因素[β分别为1.477、1.401, 比值比(OR)分别为4.380、4.059, P<0.001]。miR-21≥0.74且HOXD9≥0.92结直肠癌患者中位生存期显著低于其他患者(miR-21<0.74或HOXD9<0.92)[中位生存期(26.3±4.5)个月比(31.2±5.3)个月, Log-rank=13.922, P<0.05]。结论结直肠癌患者HOXD9和miR-21表达显著升高, 两者检测时可显著提高预测结直肠癌预后不良的敏感度及特异度。

关键词：结直肠癌微小RNA 临床价值

Celastrol induces ferroptosis in activated HSCs to ameliorate hepatic fibrosis via targeting peroxiredoxins and HO-1

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Acta Pharmaceutica Sinica B 2022年第5期12卷 2300-2314页

作者： Piao Luo Dandan Liu Qian Zhang Fan Yang Yin-Kwan Wong Fei Xia Junzhe Zhang Jiayun Chen Ya Tian Chuanbin Yang lingyun dai Han-Ming Shen Jigang Wang Artemisinin Research Center Institute of Chinese Materia MedicaChina Academy of Chinese Medical SciencesBeijing 100700China Central People’s Hospital of Zhanjiang Zhanjiang 524037China Department of Urology the Second Clinical Medical CollegeJinan University(Shenzhen People’s Hospital)Shenzhen 518020China Integrated Chinese and Western Medicine Postdoctoral Research Station Jinan UniversityGuangzhou 510632China Faculty of Health Sciences University of MacaoTaipaMacao 999078China Guangdong Provincial Key Laboratory of New Drug Screening School of Pharmaceutical SciencesSouthern Medical UniversityGuangzhou 510515China

Ferroptosis is a form of regulated cell death, characterized by excessive membrane lipid peroxidation in an iron-and ROS-dependent manner. Celastrol, a natural bioactive triterpenoid extracted from Tripterygium wilfordii, shows effective anti-fibrotic and anti-inflammatory activities in multiple hepatic diseases. However, the exact molecular mechanisms of action and the direct protein targets of celastrol in the treatment of liver fibrosis remain largely elusive. Here, we discover that celastrol exerts anti-fibrotic effects via promoting the production of reactive oxygen species(ROS) and inducing ferroptosis in activated hepatic stellate cells(HSCs). By using activity-based protein profiling(ABPP) in combination with bio-orthogonal click chemistry reaction and cellular thermal shift assay(CETSA), we show that celastrol directly binds to peroxiredoxins(PRDXs), including PRDX1, PRDX2, PRDX4 and PRDX6,through the active cysteine sites, and inhibits their anti-oxidant activities. Celastrol also targets to heme oxygenase 1(HO-1) and upregulates its expression in activated-HSCs. Knockdown of PRDX1, PRDX2,PRDX4, PRDX6 or HO-1 in HSCs, to varying extent, elevated cellular ROS levels and induced ferroptosis. Taken together, our findings reveal the direct protein targets and molecular mechanisms via which celastrol ameliorates hepatic fibrosis, thus supporting the further development of celastrol as a promising therapeutic agent for liver fibrosis.

关键词： Celastrol Ferroptosis Peroxiredoxin HO-1 Hepatic fibrosis ABPP Anti-oxidant Reactive oxygen species

Predicting the Time-Dependent Toxicities of Binary Mixtures of Five Antibiotics to Vibrio qinghaiensis sp.-Q67 Based on the QSAR Model

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Environment & Health 2024年第7期2卷 465-473页

作者： Xiachangli Xu Yongan Liu lingyun Mo Xuehua Li Junfeng dai Litang Qin College of Environmental Science and Engineering Guilin University of TechnologyGuilin 541004China Guangxi Key Laboratory of Theory and Technology for Environmental Pollution Control Guilin 541006China Collaborative Innovation Center for Water Pollution Control and Water Safety in Karst Area Guilin University of TechnologyGuilin 541006China Key Laboratory of Industrial Ecological and Environmental Engineering(MOE) School of Environmental Science and TechnologyDalian University of TechnologyLinggong Road 2Dalian 116024China

Antibiotics may be exposed in a mixed state in natural *** toxicity of antibiotic mixtures exhibits time-dependent characteristics,and data on the time-dependent toxicity of antibiotic mixtures is also relatively *** this study,the toxicities of 45 binary mixtures composed of five antibiotics were investigated against Vibrio qinghaiensis sp.-Q67(Q67)at multiple exposure times(4,6,8,10,and 12 h).Quantitative structure–activity relationship(QSAR)models were developed for predicting the time-dependent toxicities of 45 binary *** results showed that the best QSAR models presented coefficient of determination(R2)of(0.818–0.913)and explained variance in prediction leave-one-out(Q2LOO)of(0.781–0.894)and predictive ability(Q2F1,Q2F2,Q2F3>0.682,concordance correlation coefficient>0.859).The R2 values of QSAR models outperformed the R2(0.628–0.810)of the conventional concentration addition models and the R2(0.654–0.792)of the independent action ***,the QSAR models showed higher R2 and Q2LOO values at 4 h compared to other exposure ***,the model at the 30%effective concentration(EC30)had R2 of 0.902 and Q2LOO of 0.883,while the model at the 50%effective concentration(EC50)had R2 of 0.913 and Q2LOO of *** CATS2D_04_DP descriptor was found to be the most dominant and negatively correlated factor influencing the toxicity of mixed antibiotics against Q67 in the nine QSAR models developed over five exposure *** reduction in the number of DP pharmacophore point pairs with a topological distance of 4 in the represented molecules is the primary cause for the rise in the time-dependent toxicity of the antibiotics against Q67.

关键词： antibiotics Q67 QSAR model time-dependent toxicity toxicities prediction

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奥地利继续教育的社会支持体系

教育发展研究 2006年第5期26卷 66-68页

作者：戴凌云浙江大学继续教育学院杭州310027

奥地利是欧洲一个拥有八万多平方公里和八百多万人口的小国，但其继续教育却具有独特的优势：在整个社会公众体系的支持下，继续教育体系逐渐实现了全民性、终身性和网络化，对社会和经济的稳步发展起到了不可忽视的作用。本文试从法律... 详细信息

奥地利是欧洲一个拥有八万多平方公里和八百多万人口的小国，但其继续教育却具有独特的优势：在整个社会公众体系的支持下，继续教育体系逐渐实现了全民性、终身性和网络化，对社会和经济的稳步发展起到了不可忽视的作用。本文试从法律、机构、财政、文化信息系统等方面来阐述奥地利继续教育的社会支持体系及其带来的启示。

关键词：继续教育体系社会支持体系奥地利社会公众稳步发展信息系统全民性网络化终身性

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通过鉴定关键靶标蛋白探究青蒿素抗疟机制

Engineering 2023年第12期31卷 86-97页

作者： Peng Gao Jianyou Wang Jiayun Chen Liwei Gu Chen Wang Liting Xu Yin Kwan Wong Huimin Zhang Chengchao Xu lingyun dai Jigang Wang State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs Artemisinin Research Centerand Institute of Chinese Materia MedicaChina Academy of Chinese Medical SciencesBeijing 100700China Pharmaceutical College Henan UniversityKaifeng 475004China Shandong Academy of Chinese Medicine Jinan 250014China Department of Infectious Disease Shenzhen Clinical Research Centre for GeriatricsShenzhen People’s Hospital&the First Affiliated Hospital of Southern University of Science and TechnologyShenzhen 518020China

The widespread use of artemisinin(ART)and its derivatives has significantly reduced the global burden of malaria;however,malaria still poses a serious threat to global *** significant progress has been achieved in elucidating the antimalarial mechanisms of ART,the most crucial target proteins and pathways of ART remain *** on the exact antimalarial mechanisms of ART is urgently needed,as signs of emerging ART resistance have been observed in some regions of the ***,we used a combined strategy involving mass spectrometry-coupled cellular thermal shift assay(MS-CETSA)and transcriptomics profiling to identify a group of putative antimalarial targets of *** then conducted a series of validation experiments on five prospective protein targets,demonstrating that ART may function against malaria parasites by interfering with redox homeostasis,lipid metabolism,and protein synthesis *** together,this study provides fresh perspectives on the antimalarial mechanisms of ART and identifies several crucial proteins involved in parasite survival that can be targeted to combat malaria.

关键词： Artemisinin Antimalaria Target identification MS-CETSA Transcriptomics

Comparing 11 early warning scores and three shock indices in early sepsis prediction in the emergency department

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World Journal of Emergency Medicine 2024年第4期15卷 273-282页

作者： Rex Pui Kin Lam Zonglin dai Eric Ho Yin Lau Carrie Yuen Ting Ip Ho Ching Chan lingyun Zhao Tat ChiTsang Matthew Sik Hon Tsui Timothy Hudson Rainer Department of Emergency Medicine School of Clinical MedicineLi Ka Shing Faculty of Medicinethe University of Hong KongHong KongChina School of Public Health Li Ka Shing Faculty of Medicinethe University of Hong KongHong KongChina Accident and Emergency Department Queen Mary HospitalHong KongChina

BACKGROUND:This study aimed to evaluate the discriminatory performance of 11 vital sign-based early warning scores(EWSs)and three shock indices in early sepsis prediction in the emergency department(ED).METHODS:We performed a retrospective study on consecutive adult patients with an infection over 3 months in a public ED in Hong *** primary outcome was sepsis(Sepsis-3 definition)within 48 h of ED *** c-statistics and the DeLong test,we compared 11 EWSs,including the National Early Warning Score 2(NEWS2),Modified Early Warning Score,and Worthing Physiological Scoring System(WPS),etc.,and three shock indices(the shock index[SI],modified shock index[MSI],and diastolic shock index[DSI]),with Systemic Inflammatory Response Syndrome(SIRS)and quick Sequential Organ Failure Assessment(qSOFA)in predicting the primary outcome,intensive care unit admission,and mortality at different time ***:We analyzed 601 patients,of whom 166(27.6%)developed ***2 had the highest point estimate(area under the receiver operating characteristic curve[AUROC]0.75,95%CI 0.70-0.79)and was significantly better than SIRS,qSOFA,other EWSs and shock indices,except WPS,at predicting the primary ***,the pooled sensitivity and specificity of NEWS2≥5 for the prediction of sepsis were 0.45(95%CI 0.37-0.52)and 0.88(95%CI 0.85-0.91),*** discriminatory performance of all EWSs and shock indices declined when used to predict mortality at a more remote time ***:NEWS2 compared favorably with other EWSs and shock indices in early sepsis prediction but its low sensitivity at the usual cut-off point requires further modification for sepsis screening.

关键词： Sepsis Emergency department Clinical prediction rule Early warning score Shock index