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Risk Factors for Birth Defects: A Conditional LogisticRegression Analysis of a Case-Control Study in Guang-dong Province of China
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作者 王志瑾 穆荔 《Journal of Reproduction and Contraception》 CAS 1999年第3期170-175,共6页
Information was obtained from the same questionnaire (23 risk factors listed) of cases and controls. We used a multivariate logistic model, which described variables significantly increased risk of birth defects.... Information was obtained from the same questionnaire (23 risk factors listed) of cases and controls. We used a multivariate logistic model, which described variables significantly increased risk of birth defects. The risk factors included maternal educational levels, medicine taken during pregnancy and antenatal care. It was suggested to strengthen antenatal care was the main preventive measure against birth defects. 展开更多
关键词 Birth defects Risk factors Case control study conditional logistic regression Antenatal care
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ICU-acquired weakness in critically ill patients at risk of malnutrition: risk factors, biomarkers, and early enteral nutrition impact 被引量:3
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作者 Qingliu Zheng Changyun Liu +4 位作者 Lingying Le Qiqi Wu Zhihong Xu Jiyan Lin Qiuyun Chen 《World Journal of Emergency Medicine》 2025年第1期51-56,共6页
BACKGROUND: This study aimed to explore the risk factors associated with intensive care unitacquired weakness(ICU-AW) in critically ill patients at risk of malnutrition and to evaluate the efficacy of early enteral nu... BACKGROUND: This study aimed to explore the risk factors associated with intensive care unitacquired weakness(ICU-AW) in critically ill patients at risk of malnutrition and to evaluate the efficacy of early enteral nutrition(EEN) and the role of biomarkers in managing ICU-AW.METHODS: This retrospective, observational cohort study included 180 patients at risk of malnutrition admitted to the emergency intensive care unit of the First Affiliated Hospital of Xiamen University Hospital from January 2022 to December 2023. Patients were divided into ICU-AW group and non-ICU-AW group according to whether they developed ICU-AW, or categorized into EEN and parenteral nutrition(PN) groups according to nutritional support. ICU-AW was diagnosed using the Medical Research Council score. The primary outcome was the occurrence of ICU-AW.RESULTS: The significant factors associated with ICU-AW included age, sex, type of nutritional therapy, mechanical ventilation(MV), body mass index(BMI), blood urea nitrogen(BUN), and creatinine(Cr) levels(P<0.05). The PN group developed ICU-AW earlier than did the EEN group, with a significant difference observed(log-rank P<0.001). Among biomarkers for ICU-AW, the mean prealbumin(PAB)/C-reactive protein(CRP) ratio had the highest diagnostic accuracy(area under the curve [AUC] 0.928, 95% confidence interval [95% CI] 0.892–0.946), surpassing the mean Cr/BUN ratio(AUC 0.740, 95% CI 0.663–0.819) and mean transferrin levels(AUC 0.653, 95% CI 0.574–0.733).CONCLUSION: Independent risk factors for ICU-AW include female sex, advanced age, PN, MV, lower BMI, and elevated BUN and Cr levels. EEN may potentially delay ICU-AW onset, and the PAB/CRP ratio may be an effective diagnostic marker for this condition. 展开更多
关键词 Intensive care units Muscular weakness Hospital-acquired condition Enteral nutrition Biomarkers Risk factors
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Effects of temperature and diet on length-weight relationship and condition factor of the juvenile Malabar blood snapper(Lutjanus malabaricus Bloch & Schneider, 1801) 被引量:4
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作者 Sabuj Kanti MAZUMDER Simon Kumar DAS +1 位作者 Yosni BAKAR Mazlan Abd.GHAFFAR 《Journal of Zhejiang University-Science B(Biomedicine & Biotechnology)》 SCIE CAS CSCD 2016年第8期580-590,共11页
In this study we aimed to analyze the effects of water temperature and diet on the length-weight rela- tionship and condition of juvenile Malabar blood snapper Lutjanus malabaricus over a 30-d experimental period. The... In this study we aimed to analyze the effects of water temperature and diet on the length-weight rela- tionship and condition of juvenile Malabar blood snapper Lutjanus malabaricus over a 30-d experimental period. The experiment was conducted in the laboratory using a flow-through-sea-water system. The fish were subjected to four different temperatures (22, 26, 30, and 34 ℃) and two diets (commercial pellet and natural shrimp). Fish were fed twice daily. L. malabancus exhibited negative allometric growth (b〈3) at the beginning of the experiment (Day 0) at all temperatures and both diets except for 22 ℃ fed with shrimp, which showed isometric growth (b=3). Conversely, at the end of the experiment (Day 30) fish showed isometric growth (b=3) at 30 ℃ fed with the pellet diet, indicating that the shape of the fish did not change with increasing weight and length, and a positive allometric growth (b〉3) at 30 ℃ fed with shrimp diet, which indicated that fish weight increases faster than their length. The rest of the temperatures represented negative allometric growth (b〈3) on both diet, meaning that fish became lighter with increasing size. The condition factors in the initial and final measurements were greater than 1, indicating the state of health of the fish, except for those fed on a pellet diet at 34 ℃. However, the best condition was obtained at 30 ℃ on both diets. Nev- ertheless, diets did not have a significant effect on growth and condition of juvenile L. malabaricus. The data obtained from this study suggested culturing L. malabaricus at 30 ℃ and feeding on the pellet or shrimp diet, which will optimize the overall production and condition of this commercially important fish species. 展开更多
关键词 Length-weight relationship condition factor TEMPERATURE Growth Aquaculture SNAPPER
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Optimization method of conditioning factors selection and combination for landslide susceptibility prediction 被引量:2
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作者 Faming Huang Keji Liu +4 位作者 Shuihua Jiang Filippo Catani Weiping Liu Xuanmei Fan Jinsong Huang 《Journal of Rock Mechanics and Geotechnical Engineering》 2025年第2期722-746,共25页
Landslide susceptibility prediction(LSP)is significantly affected by the uncertainty issue of landslide related conditioning factor selection.However,most of literature only performs comparative studies on a certain c... Landslide susceptibility prediction(LSP)is significantly affected by the uncertainty issue of landslide related conditioning factor selection.However,most of literature only performs comparative studies on a certain conditioning factor selection method rather than systematically study this uncertainty issue.Targeted,this study aims to systematically explore the influence rules of various commonly used conditioning factor selection methods on LSP,and on this basis to innovatively propose a principle with universal application for optimal selection of conditioning factors.An'yuan County in southern China is taken as example considering 431 landslides and 29 types of conditioning factors.Five commonly used factor selection methods,namely,the correlation analysis(CA),linear regression(LR),principal component analysis(PCA),rough set(RS)and artificial neural network(ANN),are applied to select the optimal factor combinations from the original 29 conditioning factors.The factor selection results are then used as inputs of four types of common machine learning models to construct 20 types of combined models,such as CA-multilayer perceptron,CA-random forest.Additionally,multifactor-based multilayer perceptron random forest models that selecting conditioning factors based on the proposed principle of“accurate data,rich types,clear significance,feasible operation and avoiding duplication”are constructed for comparisons.Finally,the LSP uncertainties are evaluated by the accuracy,susceptibility index distribution,etc.Results show that:(1)multifactor-based models have generally higher LSP performance and lower uncertainties than those of factors selection-based models;(2)Influence degree of different machine learning on LSP accuracy is greater than that of different factor selection methods.Conclusively,the above commonly used conditioning factor selection methods are not ideal for improving LSP performance and may complicate the LSP processes.In contrast,a satisfied combination of conditioning factors can be constructed according to the proposed principle. 展开更多
关键词 Landslide susceptibility prediction conditioning factors selection Support vector machine Random forest Rough set Artificial neural network
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Landslide susceptibility prediction using slope unit-based machine learning models considering the heterogeneity of conditioning factors 被引量:12
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作者 Zhilu Chang Filippo Catani +4 位作者 Faming Huang Gengzhe Liu Sansar Raj Meena Jinsong Huang Chuangbing Zhou 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2023年第5期1127-1143,共17页
To perform landslide susceptibility prediction(LSP),it is important to select appropriate mapping unit and landslide-related conditioning factors.The efficient and automatic multi-scale segmentation(MSS)method propose... To perform landslide susceptibility prediction(LSP),it is important to select appropriate mapping unit and landslide-related conditioning factors.The efficient and automatic multi-scale segmentation(MSS)method proposed by the authors promotes the application of slope units.However,LSP modeling based on these slope units has not been performed.Moreover,the heterogeneity of conditioning factors in slope units is neglected,leading to incomplete input variables of LSP modeling.In this study,the slope units extracted by the MSS method are used to construct LSP modeling,and the heterogeneity of conditioning factors is represented by the internal variations of conditioning factors within slope unit using the descriptive statistics features of mean,standard deviation and range.Thus,slope units-based machine learning models considering internal variations of conditioning factors(variant slope-machine learning)are proposed.The Chongyi County is selected as the case study and is divided into 53,055 slope units.Fifteen original slope unit-based conditioning factors are expanded to 38 slope unit-based conditioning factors through considering their internal variations.Random forest(RF)and multi-layer perceptron(MLP)machine learning models are used to construct variant Slope-RF and Slope-MLP models.Meanwhile,the Slope-RF and Slope-MLP models without considering the internal variations of conditioning factors,and conventional grid units-based machine learning(Grid-RF and MLP)models are built for comparisons through the LSP performance assessments.Results show that the variant Slopemachine learning models have higher LSP performances than Slope-machine learning models;LSP results of variant Slope-machine learning models have stronger directivity and practical application than Grid-machine learning models.It is concluded that slope units extracted by MSS method can be appropriate for LSP modeling,and the heterogeneity of conditioning factors within slope units can more comprehensively reflect the relationships between conditioning factors and landslides.The research results have important reference significance for land use and landslide prevention. 展开更多
关键词 Landslide susceptibility prediction(LSP) Slope unit Multi-scale segmentation method(MSS) Heterogeneity of conditioning factors Machine learning models
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On Conditional Probabilities of Factoring Quadratics 被引量:1
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作者 Thomas Beatty Gabriela von Linden 《Advances in Pure Mathematics》 2020年第3期114-124,共11页
Factoring quadratics over Z is a staple of introductory algebra and textbooks tend to create the impression that doable factorizations are fairly common. To the contrary, if coefficients of a general quadratic are sel... Factoring quadratics over Z is a staple of introductory algebra and textbooks tend to create the impression that doable factorizations are fairly common. To the contrary, if coefficients of a general quadratic are selected randomly without restriction, the probability that a factorization exists is zero. We achieve a specific quantification of the probability of factoring quadratics by taking a new approach that considers the absolute size of coefficients to be a parameter n. This restriction allows us to make relative likelihood estimates based on finite sample spaces. Our probability estimates are then conditioned on the size parameter n and the behavior of the conditional estimates may be studied as the parameter is varied. Specifically, we enumerate how many formal factored expressions could possibly correspond to a quadratic for a given size parameter. The conditional probability of factorization as a function of n is just the ratio of this enumeration to the total number of possible quadratics consistent with n. This approach is patterned after the well-known case where factorizations are carried out over a finite field. We review the finite field method as background for our method of dealing with Z [x]. The monic case is developed independently of the general case because it is simpler and the resulting probability estimating formula is more accurate. We conclude with a comparison of our theoretical probability estimates with exact data generated by a computer search for factorable quadratics corresponding to various parameter values. 展开更多
关键词 factorIZATION Polynomial QUADRATIC INTEGERS Rational NUMBERS Monic Modular ARITHMETIC conditional Probability
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Spatial-temporal Differences in the Improvement of Housing Conditions in China,2000-2020:Empirical Analysis Based on National Census Data
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作者 Li Chen Li Xing 《全球城市研究(中英文)》 2025年第1期1-31,149,共32页
Adequate,safe and affordable housing and basic services for all are the basis for sustainable development,livelihood security and basic housing rights.Shelter is a basic human rights guarantee and improvements in livi... Adequate,safe and affordable housing and basic services for all are the basis for sustainable development,livelihood security and basic housing rights.Shelter is a basic human rights guarantee and improvements in living conditions are of significant importance to the quality of life.The article uses data from China’s fifth,sixth and seventh population censuses to reveal the spatial and temporal differences in the improvement of housing conditions of households in 281 cities in China from 2000 to 2020.The study concludes the following:(i)The housing conditions score of urban households in China has improved significantly,and the living environment has been significantly improved.The center of gravity of the overall housing conditions score shifts from the western region to the eastern region and then to the central region.(ii)The housing facilities in China’s cities have become increasingly sophisticated during the study period.The overall variation in housing amenities tends to decrease overall,with higher intra-belt variation than inter-belt variation in the four main regions.(iii)Self-built housing,rented housing,purchased housing,other types of housing and inherited housing are the main sources of housing for urban househ olds in China.From 2000 to 2020,the housing structure is characterized by two increases and one decrease,namely an increase in the proportion of purchased and rented housing and a decrease in the proportion of self-built housing.(iv)The main factors influencing the improvement of housing conditions are historical factors,the forces of marketization,urbanization,and housing policy. 展开更多
关键词 Housing conditions Housing amenities Housing sources Influencing factors Chinese cities
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Conditional relative survival:an essential tool for risk stratification of(breast)cancer patients
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作者 Luigino Dal Maso Annalisa Trama +1 位作者 Fabiola Giudici Stefano Guzzinati 《Journal of the National Cancer Center》 2025年第6期551-552,共2页
To the editor,The article by Vrancken Peeters and colleagues,1 showing updated five-year conditional relative survival(5-year CRS)for young breast cancer patients by relevant prognostic factors and longer follow-up th... To the editor,The article by Vrancken Peeters and colleagues,1 showing updated five-year conditional relative survival(5-year CRS)for young breast cancer patients by relevant prognostic factors and longer follow-up than previous European studies,2,3 has filled an important gap in knowledge for the most common cancer among young women. 展开更多
关键词 risk stratification breast cancer prognostic factors conditional relative survival young women
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The ρ-Meson Electromagnetic Form Factors within the Light-Front Quark Model
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作者 Shuai Xu Xiao-Nan Li Xing-Gang Wu 《Chinese Physics Letters》 2025年第8期31-37,共7页
In this paper,we study the ρ-meson electromagnetic form factors(EMFFs)within the framework of the light-front quark model.The physical form factors G_(C,M,Q)(Q^(2))of the ρ-meson,as well as the charged square radius... In this paper,we study the ρ-meson electromagnetic form factors(EMFFs)within the framework of the light-front quark model.The physical form factors G_(C,M,Q)(Q^(2))of the ρ-meson,as well as the charged square radius<r^(2)>,the magnetic moment μ,and the quadrupole moment Q,are calculated,which describe the behaviors of EMFFs at zero momentum transfer.Using the type-Ⅱ replacement,we find that the zero-mode does contribute zero to the matrix element S_(00)^(+).It is found that the“M→M_(0)”replacement improves the angular condition remarkably,which permits different prescriptions of ρ-meson EMFFs to give the consistent results.The residual tiny violation of angular condition needs other explanations beyond the zero-mode contributions.Our results indicate that the relativistic effects or interaction internal structure are weaken in the zero-binding limit.This work is also applicable to other spin-1 particles. 展开更多
关键词 light front quark model zero mode contribution electromagnetic form factors emffs within relativistic effects rho meson magnetic moment electromagnetic form factors angular condition
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A Neighborhood Condition for Graphs to Have Special [a,b]-Factor
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作者 Jinguo Lei Qingzhi Yu +1 位作者 Changhua Huang Man Liu 《Applied Mathematics》 2014年第1期212-215,共4页
Let G be a graph of order n, and let a and b be integers, such that 1 ≤ a b. Let H be a subgraph of G with m(≤b) edges, and δ(G) be the minimum degree. We prove that G has a [a,b]-factor containing all edges of H i... Let G be a graph of order n, and let a and b be integers, such that 1 ≤ a b. Let H be a subgraph of G with m(≤b) edges, and δ(G) be the minimum degree. We prove that G has a [a,b]-factor containing all edges of H if , , and when a ≤ 2, . 展开更多
关键词 Graph factor [a b]-factor The Minimum DEGREE NEIGHBORHOOD conditION
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Statistical optimization of medium composition and culture condition for the production of recombinant anti-lipopolysaccharide factor of Eriocheir sinensis in Escherichia coli
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作者 姜珊 刘梅 +2 位作者 王宝杰 蒋克勇 王雷 《Chinese Journal of Oceanology and Limnology》 SCIE CAS CSCD 2011年第6期1249-1259,共11页
Anti-lipopolysaccharide factors (ALFs) are important antimicrobial peptides that are isolated from some aquatic species. In a previous study, we isolated ALF genes from Chinese mitten crab, Eriocheir sinensis. In th... Anti-lipopolysaccharide factors (ALFs) are important antimicrobial peptides that are isolated from some aquatic species. In a previous study, we isolated ALF genes from Chinese mitten crab, Eriocheir sinensis. In this study, we optimized the production of a recombinant ALF by expressing E. sinensis ALF genes in Eseherichia coli maintained in shake-flasks. In particular, we focused on optimization of both the medium composition and the culture condition. Various medium components were analyzed by the Plackett-Burman design, and two significant screened factors, (NH4)2SO4 and KH2PO4, were further optimized via the central composite design (CCD). Based on the CCD analysis, we investigated the induction start-up time, the isopropylthio-D-galactoside (IPTG) concentration, the post-induction time, and the temperature by response surface methodology. We found that the highest level of ALF fusion protein was achieved in the medium containing 1.89 g/L (NH4)2SO4 and 3.18 g/L KH2PO4, with a cell optical density of 0.8 at 600 nm before induction, an IPTG concentration of 0.5 mmol/L, a post-induction temperature of 32.7~C, and a post-induction time of 4 h. Applying the whole optimization strategy using all optimal factors improved the target protein content from 6.1% (without optimization) to 13.2%. We further applied the optimized medium and conditions in high cell density cultivation, and determined that the soluble target protein constituted 105% of the total protein. Our identification of the economic medium composition, optimal culture conditions, and details of the fermentation process should facilitate the potential application of ALF for further research. 展开更多
关键词 anti-lipopolysaccharide factor optimization medium composition culture conditions statisticalmethodology
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CONDITIONED MEDIUM OF HUMAN NASOPHARYNGEAL CARCINOMA EPITHELIOID CELL LINE CNE_(1) CONTAINED THE ACTIVITIES OF TRANSFORMED GROWTH-INHIBITING FACTORS
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作者 陆一瓴 徐永华 《Chinese Journal of Cancer Research》 SCIE CAS CSCD 1990年第3期25-30,共6页
The hormone defined serum free conditioned medium (SFCM) of human nasopharyngeal carcinoma epithelioid cell line (CNE1) was assayed by both the 3H-thymidine incorporation test and the soft agar test. It was found that... The hormone defined serum free conditioned medium (SFCM) of human nasopharyngeal carcinoma epithelioid cell line (CNE1) was assayed by both the 3H-thymidine incorporation test and the soft agar test. It was found that the SFCM stimulated the growth of long-term serum-free cultured CNE4 cells in ac-cordence with the fact that the growth rate of long-term serum-free cultured CNE1 cells was directly proportional to the plating density. Alternatively 5% SFCM inhibited the growth of short-term serum-free cultured CNE4 cells by 51% in which the indicator cell remained the responsiveness state of growing in the serum-supplemented medium to the effector of interest. Furthermore, SFCM resulted in the inhibition of anchorage-independent growth of CNE4 cells and A431 cells. Also in soft agar test. SFCM reduced the colony formation of NRK(?),9F cells in the presence of EGF or EGF plus TGF-β. These finding suggested that CNE4 secreted autocrine growth stimulating factor(s) and growth inhibiting factor(s) in the serum-free medium, the latter strongly reverse malignant phenotypes of CNE4 and A431 cells in serum-supplemented surrounding. 展开更多
关键词 SFCM conditIONED MEDIUM OF HUMAN NASOPHARYNGEAL CARCINOMA EPITHELIOID CELL LINE CNE CONTAINED THE ACTIVITIES OF TRANSFORMED GROWTH-INHIBITING factorS
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Length-weight Relationship and Condition Factor of Sarotherodon Melanotheron(Perciformes:cichlidae)from Forcados River Estuary,Niger Delta,Nigeria
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作者 Efe Ogidiaka John Atadiose Betty O.Bekederemo 《Journal of Fisheries Science》 2022年第1期13-18,共6页
Length-weight relationship(LWR),condition factor(k)of the black chin tilapia,Sarotherodon melanotheron(Rüppel,1852)from Forcados River estuary Nigeria was investigated.The fish were collected monthly from fisherm... Length-weight relationship(LWR),condition factor(k)of the black chin tilapia,Sarotherodon melanotheron(Rüppel,1852)from Forcados River estuary Nigeria was investigated.The fish were collected monthly from fishermen for a period of 24 months(between April 2012 and March 2014).699 specimens of the fish species were collected.The Length-weight relationship(LWR)of the fish was evaluated using the equation:W=a L^(b) while the condition factor of the fish was determined using the equation;K=100W L^(b).The standard length of sampled S.melanotheron ranged from 4.15 to 18.92 cm,total length 6.01 and 22.5 cm while the weight ranged from 7.85-286.71 g.The b value 2.1299 was less than 3 indicating that the growth pattern of the fish was allometric.The correlation co-efficient(r)value for S.melanotheron was 0.7528.The condition factor for the combined sexes fluctuated monthly.The length-weight relationships and condition factor of S.melanotheron in Forcados river estuary indicated that the fish were above average condition. 展开更多
关键词 Sarotherodon melanotheron Length-weight relationship condition factor Forcados River estuary Niger Delta
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IDHEAS-ECA方法在核电厂严重事故下人员可靠性分析中的应用
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作者 张佳佳 张明珠 +3 位作者 种毅敏 宫宇 钱鸿涛 依岩 《原子能科学技术》 北大核心 2026年第1期205-213,共9页
严重事故下的人员可靠性分析(HRA)是二级概率安全分析(PSA)的关键技术要素和难点。由于严重事故下人员心理多变、组织协调复杂、缺少模拟培训等,国际上很少有适用的HRA模型。近年来国内核工业界积极探索严重事故下的HRA,但所用模型和方... 严重事故下的人员可靠性分析(HRA)是二级概率安全分析(PSA)的关键技术要素和难点。由于严重事故下人员心理多变、组织协调复杂、缺少模拟培训等,国际上很少有适用的HRA模型。近年来国内核工业界积极探索严重事故下的HRA,但所用模型和方法适用性欠佳。2022年,美国核管会推出适用于全部风险指引监管活动的事件和状态评估综合人因事件分析(IDHEAS-ECA)方法,为相关研究指明方向。本文对IDHAES-ECA方法进行了研究和凝练,提出了严重事故下HRA需要特殊考虑的绩效影响因子(PIF)。以某华龙一号核电厂严重事故下一回路注水为案例,应用IDHEAS-ECA方法开展了定量化分析,同时采用国内常用的SPAR-H方法与IDHEAS-ECA方法结果进行对比和讨论。分析表明,SPAR-H方法现有模型由于其固有缺陷,且无实证数据支撑,无法适用于严重事故下的HRA,而IDHEAS-ECA方法由于其完善的PIF和认知模型,更能适应当下工程项目全范围PSA的应用需求,也代表当前国际最新的认知水平。本研究可为核电工程项目和核安全领域采用IDHAES-ECA方法提供借鉴。 展开更多
关键词 核电厂 人员可靠性分析 概率安全分析 事件和状态评估综合人因事件分析 绩效影响因子
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Effect of electroacupuncture on egg quality and tumor necrosis factor-a of patients with polycystic ovarian syndrome 被引量:2
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作者 李静 崔薇 +1 位作者 孙伟 闻姬 《World Journal of Acupuncture-Moxibustion》 2014年第3期9-15,共7页
Objective To observe the effect of electroacupuncture (EA) on egg quality of polycystic ovarian syndrome (PCOS) patients, and to explore its mechanism. Methods Two hundred patients who received in vitro fertilizat... Objective To observe the effect of electroacupuncture (EA) on egg quality of polycystic ovarian syndrome (PCOS) patients, and to explore its mechanism. Methods Two hundred patients who received in vitro fertilization-embryo transfer (IVF-ET) were divided into an EA group (102 cases) and a control group (98 cases) according to random number table. All the patients in the two groups were given Diane-35 and gonadotropin-releasing hormone agonist (GnRH-α) for ovarian hyperstimulation. Besides, EA intervention was applied to Shenshu (肾俞 BL 23), Qihai (气海 GV 6), Zusanli (足三里ST 36), Sanyinjiao (三阴交 SP 6), Neiguan (内关 PC 6) and Zigong (子宫 EX-CA1), etc. in the EA group. Then egg quality, final outcome of pregnancy and levels of tumor necrosis factor-α (TNF-α) were compared between the two groups. Results (1) EA intervention significantly improved high quality embryo rate of PCOS patients (P〈0.05), and clinical pregnancy rate was increased by 8.36%; (2) EA intervention significantly reduced the TNF-α levels of follicular fluid (13.61±15.46 vs 34.09±93.53, P〈0.05); (3) TNF-α levels of serum and follicular fluid in the pregnancy group were lower than those of non-pregnancy group [pregnancy group: (53.91±63.32) pg/mL, (14.93±25.37) pg/mL, nonpregnancy group: (76.82 ± 82.96) pg/mL, (25.04 ± 35.79) pg/mL], and the differences were significant (both P〈0.05). Conclusion EA improves egg quality of PCOS patients and increases the clinical pregnancy rate of IVF-ET, the mechanism may be related to TNF-α levels. 展开更多
关键词 polycystic ovarian syndrome (PCOS) ELECTROACUPUNCTURE controlled ovarian hyperst-imulation (COH) tumor necrosis factor -α
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MT_1-MMP和Factor Ⅷ在人脑胶质瘤中表达差异及其意义 被引量:3
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作者 钟喆 袁贤瑞 +4 位作者 何正文 任年军 高洪波 章凯 纪春晓 《中国耳鼻咽喉颅底外科杂志》 CAS 2009年第1期12-16,共5页
目的探讨膜型基质金属蛋白酶-1(MT1-MMP)和FactorⅧ在人脑胶质瘤中的表达及两者之间的关系。方法用免疫组织化学SP法检测45例人脑胶质瘤组织和10例正常人脑组织中MT1-MMP和FactorⅧ的表达。结果正常人脑组织中无MT1-MMP表达,高级别脑胶... 目的探讨膜型基质金属蛋白酶-1(MT1-MMP)和FactorⅧ在人脑胶质瘤中的表达及两者之间的关系。方法用免疫组织化学SP法检测45例人脑胶质瘤组织和10例正常人脑组织中MT1-MMP和FactorⅧ的表达。结果正常人脑组织中无MT1-MMP表达,高级别脑胶质瘤组织(Ⅲ、Ⅳ)中MT1-MMP和FactorⅧ的阳性表达率显著高于低级别胶质瘤组织(Ⅰ、Ⅱ),并且两者的表达呈显著正相关性。结论MT1-MMP在高级别脑胶质瘤组织中高表达,其表达与脑胶质瘤的进展和侵袭密切相关,可作为脑胶质瘤恶性表型的有用指标。MT1-MMP可能在脑胶质瘤的血管生成中发挥重要的调控作用。 展开更多
关键词 脑胶质瘤 膜型基质金属蛋白酶-1 factor 侵袭性 外科学
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Study on Identification and Fermentation Condition of Strain ZY-19-2 with Inhibitory Effect against Tobacco Black Shank (Phytophtora parasitica var. nicotianae Tucker)
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作者 邓宾玲 韦建玉 +4 位作者 奚家勤 尹启生 宋纪真 周汉平 魏春阳 《Agricultural Science & Technology》 CAS 2011年第11期1645-1648,1698,共5页
[Objective] The paper was to identify stain ZY-19-2 with inhibitory effect against tobacco black shank (Phytophtora parasitica var.nicotianae Tucker), and study the fermentation condition of the strain. [Method]A st... [Objective] The paper was to identify stain ZY-19-2 with inhibitory effect against tobacco black shank (Phytophtora parasitica var.nicotianae Tucker), and study the fermentation condition of the strain. [Method]A strain ZY-19-2 with strong inhibitory effect against P. parasitica were isolated and screened from tobacco rhizosphere soil samples, and identified according to its morphological characteristics. The chitinase production activity of the strain under different culture conditions was also studied. [Result] For stain ZY-19-2 Paecilomyces lilacinus, the optimal fermentation conditions were as follows: 1.2% colloidal chitin as carbon source, 1% peptone as nitrogen source, 0.1% Tween 80 as surfactant, initial pH of fermentation broth at 6.0, the fermentation time of 60 h, inoculum amount at 1%, shaker speed at 120 r/min. The highest enzyme activity reached 0.216 U/ml. [Conclusion]The optimization of fermentation condition of strain ZY-19-2 lay foundation for large-scale production of cheap and efficient chitinase and chitin oligosaccharides, as well as application of the strain for control of tobacco black shank. 展开更多
关键词 Strain ZY-19-2 IDENTIFICATION Fermentation condition
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A Fast Multi-tasking Solution: NMF-Theoretic Co-clustering for Gear Fault Diagnosis under Variable Working Conditions 被引量:7
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作者 Fei Shen Chao Chen +1 位作者 Jiawen Xu Ruqiang Yan 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2020年第1期182-196,共15页
Most gear fault diagnosis(GFD)approaches su er from ine ciency when facing with multiple varying working conditions at the same time.In this paper,a non-negative matrix factorization(NMF)-theoretic co-clustering strat... Most gear fault diagnosis(GFD)approaches su er from ine ciency when facing with multiple varying working conditions at the same time.In this paper,a non-negative matrix factorization(NMF)-theoretic co-clustering strategy is proposed specially to classify more than one task at the same time using the high dimension matrix,aiming to o er a fast multi-tasking solution.The short-time Fourier transform(STFT)is first used to obtain the time-frequency features from the gear vibration signal.Then,the optimal clustering numbers are estimated using the Bayesian information criterion(BIC)theory,which possesses the simultaneous assessment capability,compared with traditional validity indexes.Subsequently,the classical/modified NMF-based co-clustering methods are carried out to obtain the classification results in both row and column tasks.Finally,the parameters involved in BIC and NMF algorithms are determined using the gradient ascent(GA)strategy in order to achieve reliable diagnostic results.The Spectra Quest’s Drivetrain Dynamics Simulator gear data sets were analyzed to verify the e ectiveness of the proposed approach. 展开更多
关键词 GEAR fault diagnosis Non-negative matrix factorIZATION CO-CLUSTERING VARYING working conditions
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Model Test of Deformation Evolution and Multi Factor Prediction of Anchorage Slope Stability under Rainfall Condition 被引量:6
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作者 Tingyao Wu Jianhong Jia +3 位作者 Nan Jiang Chuanbo Zhou Xuedong Luo Yuqing Xia 《Journal of Earth Science》 SCIE CAS CSCD 2020年第6期1109-1120,共12页
The stability of the anchorage slope on the Baiyang Yangtze River Highway Bridge in Yichang,China,was investigated under different rainfall conditions using model test,numerical simulation,and factor analysis.The resu... The stability of the anchorage slope on the Baiyang Yangtze River Highway Bridge in Yichang,China,was investigated under different rainfall conditions using model test,numerical simulation,and factor analysis.The results of the study are as follows:(1)with the increase of rainfall intensity,the change of earth pressure can be divided into three stages.However,when the rainfall intensity was larger than a certain value,the change of earth pressure of cut slope became two stages;with the increase of rainfall intensity,pore water pressure increased with the increase of rainfall time,while at a certain stage after the rainfall,the pore water pressure in the cut slope did not decrease immediately,but increased for a period of time.(2)When the rainfall stopped,the stability coefficient of the anchorage slope continued to decrease,then slowly increased,and finally tended to be gentle.Meanwhile,when the rainstorm reached a certain intensity,the main factor that restricted the rainfall infiltration rate became the geotechnical permeability coefficient of the cut slope,which was no longer the rainfall intensity.(3)Factor analysis shows that the rainfall intensity and rainfall duration were the most important factors for anchorage slope stability,while earth pressure,pore water pressure and slope displacement were much less significant. 展开更多
关键词 anchorage slope model test rainfall condition safety factor analysis
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Inquiry of Water-Soluble Polysaccharide Extraction Conditions from Grapefruit Skin 被引量:9
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作者 Ziping Luo Zilin Liu +3 位作者 Shiyu Tan Qiliang Xu Haiyan Yang Lingli Yang 《Engineering(科研)》 2011年第11期1090-1094,共5页
Water-soluble polysaccharide was isolated from grapefruit with the method of water-dissolving and ethanol-precipitating. By single factor test and orthogonal experimental method, the extraction conditions of the water... Water-soluble polysaccharide was isolated from grapefruit with the method of water-dissolving and ethanol-precipitating. By single factor test and orthogonal experimental method, the extraction conditions of the water-soluble polysaccharide were investigated, which contained liquid-solid ratio, temperature, time and pH. The results showed that pH was the most important factor of polysaccharide extraction, followed by temperature. The optimized extraction technology conditions were obtained. The liquid-solid ratio was 1:40, temperature was 90?C, time was 2.0 h, and pH was 2. The highest extraction rate of crude polysaccharide was 8.30%. 展开更多
关键词 GRAPEFRUIT WATER-SOLUBLE POLYSACCHARIDE EXTRACTING condition Single factor EXPERIMENT and Orthogonal EXPERIMENT
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