Recognition的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列各種有用的問答集和懶人包

Dowding & Churchill: The Dark Side of the Battle of Britain

為了解決Recognition的問題，作者Dixon, Jack 這樣論述：

Air Chief Marshal Sir Hugh - later Lord - Dowding was one of the greatest Englishmen of the 20th century. He created Fighter Command with its unique early warning system (radar) from nothing in 1936 to the efficient defensive force it became in 1940. In consequence Fighter Command was the only ar

m that was properly prepared for battle when war was declared against Germany. Hugh Dowding led Fighter Command in the Battle of Britain, and was victorious. The campaign, although a series of defensive engagements, was one of the decisive battles of Western Civilization. The strategic importance of

the Battle of Britain was recognized at the time, yet, the moment it was won Dowding was summarily relieved of his command and shuffled into retirement without recognition, reward or promotion. This book reveals that this was the result of a shabby conspiracy by fellow officers. The Air Ministry pu

blished a brief account of the Battle in March 1941 and in it there was no mention of Dowding. Churchill was furiously indignant. But in November 1940 he had acquiesced in Dowding's removal. Why? And what are the factors that led to Dowding's dismissal in the first place? In this thought-provoking a

nd authoritative book Jack Dixon answers these questions and explains Dowding's true greatness

Recognition進入發燒排行的影片

技術型高中學生學習歷程檔案學習動機及其學習成效之關係研究-以桃竹苗地區為例

為了解決Recognition的問題，作者羅筱恩 這樣論述：

摘要 本研究旨在探討公立技術型高中學生學習歷程檔案學習動機及其學習成效之關係研究。以108學年度入學就讀桃竹苗地區公立技術型高中學生為研究對象，採問卷調查法。發出8校900份問卷，回收有效650份問卷後經資料整理，再透過SPSS 20統計軟體進行資料處理與分析，探討技術型高中學生學習歷程檔案的學習動機及其學習成效之相關情形，進行敘述性統計及推論性統計之分析與討論。依據研究目的，本研究獲致結果如下：壹、桃竹苗地區學生學習歷程檔案以期望成分的學習動機認同度最高，以學習成果的學習成效認同度最高。貳、學生學習歷程檔案以女性學生、就讀家事類、苗栗地區以及上傳課程學習成果與多元學習表現件數多者的學

習動機認同度較高。參、學生學習歷程檔案以女性學生、就讀家事類、苗栗地區以及上傳課程學習成果與多元學習表現件數多者的學習成效認同度較高。肆、桃竹苗地區學生學習歷程檔案學習動機及其學習成效呈現高度正相關。關鍵字：技術型高中學生、學生學習歷程檔案學習動機、學生學習歷程檔案學習成效

An Introduction to the Methods of Relativistic Molecular Quantum Mechanics

為了解決Recognition的問題，作者Wilson, Stephen 這樣論述：

Molecular electronic structure calculations have assumed increasing importance in a wide range of research fields. Applications abound in fields as diverse as molecular electronics and pharmacology, radioastronomy and organic synthesis. The vast majority of contemporary molecular electronic struc

ture studies are performed within the framework of non-relativistic quantum mechanics. However, recent years have seen a growing recognition of the importance of relativistic effects in molecules, especially in systems containing heavy atoms. This has fuelled the development of methods for relativis

tic molecular electronic structure studies. This book describes the essential theoretical and computational apparatus for a relativistic quantum chemistry.

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

為了解決Recognition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.