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Printable Mesoscopic Perovskite Solar Cells

為了解決Fuel cell的問題，作者 這樣論述：

Hongwei Han, professor and doctoral supervisor of Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology. He has published more than 150 papers in journals such as Science, Adv Mater, Nature Comms, JACS, etc. One of his papers has been cited more than 2,200 time

s. Hosted many international and domestic academic conferences. He presided over the National Natural Science Foundation of China integrated projects, key projects, 863 projects and other projects. In 2016, he was awarded the Changjiang Scholar Distinguished Professor, and in 2017, he was awarded th

e leading talent in science and technology innovation of the National Ten Thousand Talents Program. Michael Grätzel, professor of Ecole Polytechnique Federale de Lausanne, created the field of molecular photovoltaics, being the first to conceive and realize mesoscopic photo-systems based on molecul

ar light harvesters that by now can rival and even exceed the performance of conventional solar cells. Furthermore, he played a pivotal role in the recent development of perovskite solar cells (PSCs) that directly emerged from the DSC. Their meteoric rise to reach a solar to electric power conversio

n efficiency of over 25 % in 2019 has attracted wide research interest with over 10,000 papers being published on the subject over the last 7 years. Graetzel is also a leader in the field of fuel generation by sunlight, which is a key technology to provide future renewable energy sources that can be

stored. His group uses tandems of two photosystems to split water into hydrogen and oxygen and reduce carbon dioxide by visible light. His 1645 publications have received some 284,000 citations and his h-index is 243. Anyi Mei got his PHD in Huazhong University of Science and Technology in 2018. A

fter that, he continues his research in the university and becomes an associate professor in Wuhan National Laboratory for Optoelectronics in Huazhong University of Science and Technology. His research focuses on printed mesoscopic solar cell materials and devices. He has published more than 60 peer

-reviewed articles with H-index 27. Dr. Yue Hu is currently associate professor of Huazhong University of Science and Technology. Dr. Hu has carried out a series of pioneering work in the fields of dye-sensitized solar cells and perovskite solar cells. From the perspectives of molecular design, mat

erial synthesis, interface modification, device optimization and mechanism analysis, Dr. Hu Yue has developed a series of new low-cost light absorbing materials focusing on the photoelectric conversion efficiency, stability and cost of mesoscopic solar cells. She has participated in many scientific

research projects of the Royal Society of chemistry and the National Natural Science Foundation of China. She has published more than 80 research articles in international journals including Science, Advanced Materials, and Advanced Energy Materials etc. with H-index 25.

Fuel cell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Fuel cell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.

Fuel Cell Modeling and Simulation: From Micro-Scale to Macro-Scale

為了解決Fuel cell的問題，作者Molaeimanesh, Gholam Reza,Torabi, Farschad 這樣論述：

三相電磁噴流之研究

為了解決Fuel cell的問題，作者鄭力瑋 這樣論述：

摘要電磁噴流是一種運用磁流體力學(Magnetohydrodynamics, MHD)之概念，當給予電極板電能與固定磁場時，便可產生勞倫茲力，藉此推動導電流體。其優點在於致動原理簡易，且不需要依靠複雜的機械結構，便可實現推送之效果。常見的應用在微尺度之微動幫浦與大型船體無槳式推進器上，以往許多研究都著重在電場與磁場之設計與幾何構型的最佳化，而本研究透過實驗探討在電磁噴流中，電極板附帶產生電化學反應而生成氣泡所構成之多相噴流場。並藉由染劑與氣泡之方式發展一流場可視化之方法。本研究透過計算染劑之汙染面積並與數值模擬結果進行比較，發現在低電流時之預測流量結果較為相近。並定義一無因次參數為勞倫茲力雷

諾數(Re_L)，用以描述電磁噴流之流場型態，實驗結果透過定性觀察當勞倫茲力雷諾數(Re_L)大於1600時，噴流型態會發展成紊流的型式。透過無因次分析結果也顯示其噴流擴散角(θ)與氣泡佔比(Ag)有隨Re_L數增加而有上升之趨勢，且在Re_L數大於1600後，因流場型態轉變，擴散角與氣泡佔比也有明顯上升之現象。在最後討論使用鋁電極板對於電磁噴流之影響。