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另外網站Blackstone Inc. (BX) 財報分析和股票健診,最新股價124.28元也說明:Blackstone Inc. (BX) 股價和財報分析,最新本益比16.89 倍,現金股利殖利率2.87%。 ... Blackstone (BX) Stock Up 6.8% on Q4 Earnings Beat, AUM Rises.

高雄醫學大學 公共衛生學系環境暨職業安全衛生博士班 陳培詩所指導 顏昱娟的 家戶空氣汙染物與孩童呼吸道健康 (2019),提出BX stock關鍵因素是什麼,來自於室內空氣汙染物、呼吸道健康、孩童、工業城市、空氣內毒素。

而第二篇論文國立中興大學 食品暨應用生物科技學系所 劉沛棻所指導 李順彬的 以蛋白質體範圍的細胞熱轉移分析法辨識辣椒素在結腸癌細胞內的結合蛋白質 (2018),提出因為有 辣椒素、配體結合、細胞熱轉移分析、蛋白質穩定度的重點而找出了 BX stock的解答。

最後網站Technical Analysis for BX - The Blackstone Group LP則補充:Current Technical Analysis and interactive chart for $BX stock / shares. See the current trading strategy, trend(s), rating and buy and sell signals.

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家戶空氣汙染物與孩童呼吸道健康

為了解決BX stock的問題,作者顏昱娟 這樣論述:

TABLE OF CONTENTS1. Introduction…………………………………………………………...12. Objective of this study………………………………………………..53. Research Framework…………………………………………………64. Jumping on the Bed and Associated Increases of PM10, PM2.5, PM1, Airborne Endotoxin, Bacteria, and Fungi Concentrations……………74.1 Introduction……………

………………………………………………………….74.2 Materials and Methods……………………………………………………………84.2.1 The simulation of jumping on the bed and making the bed…………………….84.2.2 Instruments and sample processing……………………………………………..94.2.3 Analysis of airborne bacteria, fungi, and endotoxin…………………………….94.2.4 Ethics………………………………………

…………………………………...104.2.5 Statistical analyses……………………………………………………………...104.3 Results……………………………………………………………………………114.4 Discussion………………………………………………………………………..134.5 Conclusion……………………………………………………………………….175. Cooking/ Window opening and associated increases of indoor PM2.5 and NO2 concentrations of ch

ildren’s houses in Kaohsiung, Taiwan…...335.1 Introduction………………………………………………………………………335.2 Materials and Methods…………………………………………………………...345.2.1 Study Area……………………………………………………………………...345.2.2 Study Design…………………………………………………………………...345.2.3 Air Sampling…………………………………………………………………...355.2.4 Household Ch

aracteristics……………………………………………………...355.2.5 Ethics…………………………………………………………………………...365.2.6 Statistical Analyses……………………………………………………………..365.3 Results……………………………………………………………………………365.4 Discussion………………………………………………………………………..385.5 Conclusions………………………………………………………………………416. Household airborne endotoxin

association with asthma and allergy in elementary-school-age children: A case-control study in Kaohsiung, Taiwan…………………………………………………………………...476.1 Introduction……………………………………………………………476.2 Materials and Methods…………………………………………………………...486.2.1 Study design and population…………………………………………………...486.2.2 H

ome visit……………………………………………………………………...486.2.3 Home characteristics…………………………………………………………...496.2.4 Sampling and analysis of airborne endotoxin………………………………….496.2.5 Bacterial and fungal bioaerosols……………………………………………….506.2.6 Statistical analysis……………………………………………………………...506.3 Results………………………………………………

……………………………516.4 Discussion………………………………………………………………………..516.5 Conclusion……………………………………………………………………….537. Indoor Ozone and Particulate Matter Modify the Association between Airborne Endotoxin and Schoolchildren's Lung Function………………667.1 Introduction………………………………………………………………………667.2 Materials and Meth

ods…………………………………………………………...677.2.1 Study Design…………………………………………………………………...687.2.2 Study subjects…………………………………………………………………..687.2.3 Outcome measurements………………………………………………………..697.2.4 Exposure assessment, analysis, and instrument calibration……………………697.2.5 Statistical Analyses……………………………………………………………

..707.3 Results……………………………………………………………………………717.3.1 The descriptive statistics of airborne endotoxin and air pollutants…………….717.3.2 The characteristics and lung function of study subjects………………………..717.3.3 Interaction between airborne endotoxin and indoor air pollutants……………..727.4 Discussion………………

………………………………………………………..727.5 Strength and limitation…………………………………………………………...757.6 Conclusion………………………………………………………………………..758. The correlation between household air pollutants and schoolchildren's asthma and lung functions in an industrial city: a case-control study………………………………………………………..838.1 Intr

oduction………………………………………………………………………838.2 Materials and Methods………………………………………………………….848.2.1 Study design……………………………………………………………………848.2.2 Study subjects…………………………………………………………………..848.2.3 Outcome measurements………………………………………………………..858.2.4 Exposure assessment, analysis, and instrument calibration………

……………858.2.5 Statistical Analyses……………………………………………………………..868.3 Results……………………………………………………………………………868.4 Discussion………………………………………………………………………..878.5 Conclusion………………………………………………………………………..909. Early exposure of household airborne endotoxin and development of respiratory health……………………………………………………

…...9710. Summary and suggestions………………………………………….100Reference……………………………………………………………………………101 LIST OF FIGURESFig 4.1. The flowchart of sampling time……………………………………………..31Fig 4.S1. The trend of PM concentrations between beating the bed and jumping on the bed……………………………………………………………………………………32Figure 5.

1. The 24-h average concentration of indoor air pollutants (A) CO, (B) CO2, (C) NO2, and (D) O3 in the houses of traffic, industry, and general areas…………...45Figure 7.S1: The set up of air sampling……………………………………………...82Figure 9.1 the calibration curve of endotoxin with R2 of 0.994……………………...99 LIST

OF TABLESTable 4.1. The household characteristics in 60 children’s houses……………………18Table 4.2. Descriptive statistics of PM, bioaerosols and environmental factors during the period of jumping on the bed, making the bed, and background assessment……19Table 4.3. The increased concentrations of PM10, PM2

.5, PM1, and airborne bacteria, fungi and endotoxin, when jumping on the bed and making the bed paired with background measurements from the same house…………………………………….20Table 4.4. The ratio of jumping on the bed and making the bed to background for PM10, PM2.5, PM1, airborne bacteria, fungi and endot

oxin when jumping on the bed and making the bed paired with background measurements from the same house….21Table 4.5. Correlation between pollutants when jumping on the bed, making the bed, and background………………………………………………………………………22Table 4.6. Association between PM, airborne bacteria, fungi and end

otoxin concentrations (dependent variable), and household characteristics during the background: Robust regression analysis……………………………………………..24Table 4.7. Association between PM, airborne bacteria and fungi concentrations (dependent variable), and household characteristics when jumping on the bed: R

obust regression analysis, adjusting temperature, relative humidity, and background concentration…………………………………………………………………………27Table 4.8. Association between airborne bacteria and fungi concentrations (dependent variable), and household characteristics when making the bed, and between airborne endot

oxin concentrations (dependent variable), and household characteristics during jumping on the bed and making the bed: Robust regression analysis, adjusting temperature, relative humidity, and background concentration……………………...29Table 5.1. Descriptive statistics of 24-h average indoor and outdoor ai

r pollutants, temperature, and relative humidity in 60 houses……………………………………..42Table 5.2. The percentage (%) of household characteristics in traffic, industry, and general areas………………………………………………………………………….42Table 5.3. The ratios of air pollutants during window opening periods to reference periods a

nd the differences in air pollutants between window opening periods and reference periods……………………………………………………………………..43Table 5.4. The ratios of air pollutants during cooking periods to reference periods and the differences in air pollutants between during cooking periods and reference periods…………………

……………………………………………………………..43Table 5.5. Association between air pollutants concentrations (24-h average concentration of air pollutants in each house as dependent variable), and household characteristics: generalized estimating equations……………………………………44Table 5. S1. Descriptive statistics of 24-hr aver

age concentration of indoor air pollutants in the houses of traffic, industry and general areas……………………….46Table 6.1. Descriptive statistics of airborne endotoxin, bacteria, and fungi concentration, temperature and relative humidity……………………………………54Table 6.2. Odds ratios (ORs) for association of airb

orne endotoxin with respiratory disease and symptoms………………………………………………………………..55Table 6.3. Odds ratios (ORs) for association of airborne bacteria with respiratory disease and symptoms………………………………………………………………..57Table 6.4. Odds ratios (ORs) for association of airborne fungi with respiratory disease a

nd symptoms………………………………………………………………………..59Table 6.S1. Characteristics of the school-children of case-control groups (N=120)...61Table 6.S2. Airborne endotoxin, bacteria, and fungi concentration, temperature, and relative humidity of case and control group………………………………………….63Table 6.S3. Association be

tween bioaerosols and the environmental parameters: the robust regression analysis……………………………………………………………64TABLE 7.1. DESCRIPTIVE STATISTICS OF INDOOR AIRBORNE ENDOTOXIN AND INDOOR AIR POLLUTANTS………………………………………………..76TABLE 7.2. THE CORRELATION BETWEEN INDOOR AIRBORNE ENDOTOXIN AND INDOOR AIR POLLUTA

NTS………………………………..77TABLE 7.3. CHARACTERISTICS OF THE STUDY SUBJECTS…………………78TABLE 7.4. THE ASSOCIATIONS BETWEEN AIRBORNE ENDOTOXIN AND SCHOOLCHILDREN’S LUNG FUNCTION……………………………………….79TABLE 7.5. THE EFFECTS OF INDOOR O3 CONCENTRATION ON ASSOCIATIONS BETWEEN AIRBORNE ENDOTOXIN AND LUNG FUNCTION…………………

………………………………………………………..80TABLE 7.6. THE EFFECTS OF INDOOR PM10 CONCENTRATION ON ASSOCIATION BETWEEN AIRBORNE ENDOTOXIN AND LUNG FUNCTION…………………………………………………………………………..81Table 8.1. Descriptive statistics of indoor and outdoor air pollutants concentration at homes in asthmatic children, and non-asthmat

ic children…………………………...91Table 8.2a. Descriptive statistics of lung functions on day 1 in asthmatic children, and non-asthmatic children……………………………………………………………….92Table 8.2b. Descriptive statistics of lung functions on day 2 in asthmatic children, and non-asthmatic children (Continued)…………………………………

……………….93Table 8.3. Analysis of coefficient of stepwise regression models (The difference in lung function between Day 1 and Day 2 as dependent variable)…………………….95Table 8.4. Association between indoor air pollutants concentrations and schoolchildren’s lung functions: Multiple regressions……………………………

….96

以蛋白質體範圍的細胞熱轉移分析法辨識辣椒素在結腸癌細胞內的結合蛋白質

為了解決BX stock的問題,作者李順彬 這樣論述:

近年來,使用無毒或低毒性的天然化合物來協助癌症治療的策略因具有提升治療效果的高度潛力而受到越來越多研究學者的重視。在幾種具有功能性效果的天然植物性化合物中,辣椒素在先前的研究中已經確認能誘導結腸癌細胞發生細胞凋亡與細胞週期停滯,從而抑制細胞增生以及細胞轉移的效果,往後一系列的實驗結果也指出辣椒素能有效抑制多種類型癌症細胞的生長。然而,我們對於辣椒素如何抑制癌細胞生長的相關反應途徑,以及辣椒素與癌細胞內蛋白質的交互作用所知仍十分有限。為了要釐清其中的相關機制以發展效果更好的治療方法,以蛋白質體範圍的研究方法來辨識辣椒素在癌細胞中的直接結合目標蛋白顯得相當重要。於此研究中,我們選用了人類結腸癌細

胞株HCT116作為測試樣本,結合細胞熱轉移分析(CETSA)技術與二維膠體電泳(2DE),同時為了克服繁瑣與不便的實驗步驟與樣品製備過程,我們引入了實驗室近期發展的方法—one-pot analysis,增加辨識蛋白質穩定度受辣椒素影響之效率。實驗結果指出在十分近似於細胞環境中之真實狀態下,我們辨識到6個在癌細胞內可與辣椒素直接結合的目標蛋白質。隨後使用西方墨點法驗證辣椒素與實驗中找到的可能的直接結合目標蛋白,並確定這6個蛋白質與辣椒素會有直接的交互作用。經過Gene Ontology資料庫的搜索與文獻查找,我們推測辣椒素與目標蛋白結合後所影響的細胞反應,可能涉及轉譯作用、細胞週期進展及細胞

骨架形成之相關途徑。透過這項研究,我們能更了解辣椒素在癌細胞中的詳細作用機制,以及癌細胞內蛋白質的功能狀態,更進一步的研究成果也可作為未來藥物設計之應用與開發的重要參考依據。