Air pollution data的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列包括價格和評價等資訊懶人包

Citizens of Worlds: Open-Air Toolkits for Environmental Struggle

為了解決Air pollution data的問題，作者Gabrys, Jennifer 這樣論述：

An unparalleled how-to guide to citizen-sensing practices that monitor air pollution Modern environments are awash with pollutants churning through the air, from toxic gases and intensifying carbon to carcinogenic particles and novel viruses. The effects on our bodies and our planet are perilous. Ci

tizens of Worlds is the first thorough study of the increasingly widespread use of digital technologies to monitor and respond to air pollution. It presents practice-based research on working with communities and making sensor toolkits to detect pollution while examining the political subjects, rela

tions, and worlds these technologies generate. Drawing on data from the Citizen Sense research group, which worked with communities in the United States and the United Kingdom to develop digital-sensor toolkits, Jennifer Gabrys argues that citizen-oriented technologies promise positive change but th

en collide with entrenched and inequitable power structures. She asks: Who or what constitutes a ＂citizen＂ in citizen sensing? How do digital sensing technologies enable or constrain environmental citizenship? Spanning three project areas, this study describes collaborations to monitor air pollution

from fracking infrastructure, to document emissions in urban environments, and to create air-quality gardens. As these projects show, how people respond to, care for, and struggle to transform environmental conditions informs the political subjects and collectives they become as they strive for mor

e breathable worlds. Jennifer Gabrys is Chair in Media, Culture, and Environment in the Department of Sociology at the University of Cambridge. She is author of How to Do Things with Sensors and Program Earth: Environmental Sensing Technology and the Making of a Computational Planet (both publishe

d by Minnesota), as well as Digital Rubbish: A Natural History of Electronics.

Air pollution data進入發燒排行的影片

An Integrated Approach For Uncovering Novel DNA Methylation Biomarkers For Non-small Cell Lung Carcinoma

為了解決Air pollution data的問題，作者VAIBHAV KUMAR SUNKARIA 這樣論述：

Introduction - Lung cancer is one of primal and ubiquitous cause of cancer related fatalities in the world. Leading cause of these fatalities is non-small cell lung cancer (NSCLC) with a proportion of 85%. The major subtypes of NSCLC are Lung Adenocarcinoma (LUAD) and Lung Small Cell Carcinoma (LUS

C). Early-stage surgical detection and removal of tumor offers a favorable prognosis and better survival rates. However, a major portion of 75% subjects have stage III/IV at the time of diagnosis and despite advanced major developments in oncology survival rates remain poor. Carcinogens produce wide

spread DNA methylation changes within cells. These changes are characterized by globally hyper or hypo methylated regions around CpG islands, many of these changes occur early in tumorigenesis and are highly prevalent across a tumor type.Structure - This research work took advantage of publicly avai

lable methylation profiling resources and relevant comorbidities for lung cancer patients extracted from meta-analysis of scientific review and journal available at PubMed and CNKI search which were combined systematically to explore effective DNA methylation markers for NSCLC. We also tried to iden

tify common CpG loci between Caucasian, Black and Asian racial groups for identifying ubiquitous candidate genes thoroughly. Statistical analysis and GO ontology were also conducted to explore associated novel biomarkers. These novel findings could facilitate design of accurate diagnostic panel for

practical clinical relevance.Methodology - DNA methylation profiles were extracted from TCGA for 418 LUAD and 370 LUSC tissue samples from patients compared with 32 and 42 non-malignant ones respectively. Standard pipeline was conducted to discover significant differentially methylated sites as prim

ary biomarkers. Secondary biomarkers were extracted by incorporating genes associated with comorbidities from meta-analysis of research articles. Concordant candidates were utilized for NSCLC relevant biomarker candidates. Gene ontology annotations were used to calculate gene-pair distance matrix fo

r all candidate biomarkers. Clustering algorithms were utilized to categorize candidate genes into different functional groups using the gene distance matrix. There were 35 CpG loci identified by comparing TCGA training cohort with GEO testing cohort from these functional groups, and 4 gene-based pa

nel was devised after finding highly discriminatory diagnostic panel through combinatorial validation of each functional cluster.Results – To evaluate the gene panel for NSCLC, the methylation levels of SCT(Secritin), FOXD3(Forkhead Box D3), TRIM58(Tripartite Motif Containing 58) and TAC1(Tachikinin

1) were tested. Individually each gene showed significant methylation difference between LUAD and LUSC training cohort. Combined 4-gene panel AUC, sensitivity/specificity were evaluated with 0.9596, 90.43%/100% in LUAD; 0.949, 86.95%/98.21% in LUSC TCGA training cohort; 0.94, 85.92%/97.37 in GEO 66

836; 0.91,89.17%/100% in GEO 83842 smokers; 0.948, 91.67%/100% in GEO83842 non-smokers independent testing cohort. Our study validates SCT, FOXD3, TRIM58 and TAC1 based gene panel has great potential in early recognition of NSCLC undetermined lung nodules. The findings can yield universally accurate

and robust markers facilitating early diagnosis and rapid severity examination.

Citizens of Worlds: Open-Air Toolkits for Environmental Struggle

為了解決Air pollution data的問題，作者Gabrys, Jennifer 這樣論述：

An unparalleled how-to guide to citizen-sensing practices that monitor air pollution Modern environments are awash with pollutants churning through the air, from toxic gases and intensifying carbon to carcinogenic particles and novel viruses. The effects on our bodies and our planet are perilous. Ci

tizens of Worlds is the first thorough study of the increasingly widespread use of digital technologies to monitor and respond to air pollution. It presents practice-based research on working with communities and making sensor toolkits to detect pollution while examining the political subjects, rela

tions, and worlds these technologies generate. Drawing on data from the Citizen Sense research group, which worked with communities in the United States and the United Kingdom to develop digital-sensor toolkits, Jennifer Gabrys argues that citizen-oriented technologies promise positive change but th

en collide with entrenched and inequitable power structures. She asks: Who or what constitutes a ＂citizen＂ in citizen sensing? How do digital sensing technologies enable or constrain environmental citizenship? Spanning three project areas, this study describes collaborations to monitor air pollution

from fracking infrastructure, to document emissions in urban environments, and to create air-quality gardens. As these projects show, how people respond to, care for, and struggle to transform environmental conditions informs the political subjects and collectives they become as they strive for mor

e breathable worlds. Jennifer Gabrys is Chair in Media, Culture, and Environment in the Department of Sociology at the University of Cambridge. She is author of How to Do Things with Sensors and Program Earth: Environmental Sensing Technology and the Making of a Computational Planet (both publishe

d by Minnesota), as well as Digital Rubbish: A Natural History of Electronics.

應用多準則決策與模糊積分探討國道客運服務品質

為了解決Air pollution data的問題，作者黃裕倉 這樣論述：

搭乘大眾客運能有效地減少都市交通阻塞及汙染問題，提升客運業者服務品質有助於提高民眾的搭乘意願。過去已有許多相關的研究探討客運服務品質，採用服務品質指標（SQI）結合結構方程模型（SEM）等統計方法，或是使用多準則決策分析方法，但是假設準則間是相互獨立關係。但是從現實社會中來看，許多在不同構面下的評估準則與準則之間可能會存在相互影響關係，以及準則之間的非加法關係，因此本研究將提出一個非加法模型考慮準則間的相互影響，探討大眾客運服務品質。本研究採用計算權重的最佳最差方法（Best Worst Method, BWM），可減少準則之間的比較次數，評估每項服務品質的準則所占整體的權重。再透過模糊積分

（Fuzzy integral）考量評估準則之間的非相加性進行績效整合，並以理想解類似度順序偏好法（Technique for Order Preference by Similarity to an Ideal Solution, TOPSIS）對客運業者的優劣進行排序，並提供管理者改善策略，以有效提升服務品質。本研究以三家台北-宜蘭國道客運公司作為研究對象，研究結果並將與傳統加法行進行比較，探討兩種模型研究結果並提出研究結論。