走在汽車革命的路上論文書籍站
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S3 EA888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。
而第二篇論文國立陽明大學 生物醫學資訊研究所 巫坤品所指導 田惟升的 裁切膜蛋白預測工具與資料庫建置 （2016），提出因為有 膜蛋白的重點而找出了 S3 EA888的解答。
家戶空氣汙染物與孩童呼吸道健康
為了解決S3 EA888 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
裁切膜蛋白預測工具與資料庫建置
為了解決S3 EA888 的問題，作者田惟升 這樣論述：
Chinese Abstract隨著越來越多癌症與疾病相關的生物標記被識別之後，生物標記的開發在生物研究和醫學診斷已成為新興的領域。由於非侵入性的生物標記，在臨床上易於取得，針對非侵入性的生物標誌進行開發已成為一個新趨勢，也因此分泌蛋白生物標記的識別一直受到高度重視。已知大多數分泌蛋白會透過傳統的分泌途徑進行蛋白分泌，然而，有些細胞膜蛋白也會透過細胞外切被釋放到細胞外環境。由於研究發現，細胞膜蛋白的細胞外切現象參與了細胞各種不同的生理和疾病的調節過程，因此，被外切並釋放到細胞外的膜蛋白或許也可成為非侵入性的生物標記的來源之一。先前關於膜蛋白的研究顯示，只有大約2％或4％細胞表面分子的會有細胞
外切的現象;因此，很顯然，不是每一個膜蛋白都會通過細胞外切被釋放至細胞外。在此種情況下，去評估一個膜蛋白是否會從細胞中被釋放，以及識別出藉由外切釋放到細胞外並具有臨床應用潛力的膜蛋白標記，已經是重要不可或缺的。本篇論文研究首先開發出一個計算模型產生的分類工具ShedP，用以預測膜蛋白的細胞外切的現象。當ShedP與其他目前已存在的預測工具整合，我們建立了一個篩選的工具平台SecretePipe，能夠同時預測具有信號胜肽的非膜蛋白類型的分泌蛋白質和預測會藉由細胞外切現象而從細胞中被釋放的膜蛋白。我們的結果顯示，藉由整合了ShedP，SecretePipe預測分泌蛋白數據的結果勝過其他當前最先進的
預測工具。因為具備了預測膜蛋白細胞外切的能力，SecretePipe預測膜蛋白釋放至細胞外的預測能力比其他預測工具更好，也增強了SecretePipe在識別非侵入性的生物標記上應用的潛力。此外，在論文研究中也建構了關於細胞外切膜蛋白的資料庫SheddomeDB。藉由收集在公開文獻中已被證實具有細胞外切現象的膜蛋白，SheddomeDB可供生物研究和臨床人員研究查詢目前已知具有細胞外切現象的膜蛋白。 從445關於膜蛋白細胞外切研究文獻中，收錄了401個經過驗證會經由細胞外切而釋放至細胞外的膜蛋白，其中199膜蛋白尚未被已知的資料庫標註或驗證。 SheddomeDB試圖針對細胞外切膜蛋白提供全面性
的的資訊，包括膜蛋白外切機制調控和相關的功能或疾病。 SheddomeDB資料庫可用於幫助識別找出可作為生物標誌的細胞外切膜蛋白，並幫助了解膜蛋白細胞外切的生理和病理過程中的調控作用。因此，當越來越多膜蛋白被發現藉由細胞外切的方式被釋放至細胞外，並且越來越多的研究揭示膜蛋白細胞外切參與各種過程和病理調節的作用，去識別因細胞外切而釋放的膜蛋白已成為非侵入性生物標記開發和sheddome蛋白質體學領域重要不可或缺的。為了幫助在膜蛋白細胞外切的研究並提供細胞生物學家和臨床研究人員提供了有用的資料庫資源，在本篇的論文研究提供了兩個生物資訊學的專案工具。首先，整合細胞外切預測工具ShedP的平台Secr
etePipe有助於評估一個未知的或未記錄膜蛋白被切割並從細胞釋放的可能性。接著，SheddomeDB資料庫整理出目前已知存在經過實驗驗證的細胞外切膜蛋白。這兩種設計研究已可公開並利用以下的網址使用查詢 http://bal.ym.edu.tw/SecretePipe/ 以及http://bal.ym.edu.tw/SheddomeDB/.