Accurate的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列包括賽程、直播線上看和比分戰績懶人包

Non-Obvious Guide to Statistical Literacy

為了解決Accurate的問題，作者Patel, Neal 這樣論述：

The guide to data and statistics for anyone who hates numbers and need a simple way to better understand what data is really telling you from former Googler and current Amazon Product Manager Neal H. Patel. The Internet has turned us into a society that runs on data, and most of us feel out of ou

r depth. This book helps make statistics accessible to everyone, especially those of us who find numbers intimidating, or just dislike them altogether.Here are some of the things you’ll learn in this book: What are the four essential traps that ruin survey data, how do can you avoid them?Why do crea

tive, right-brained people have a natural advantage in learning statistics?How can I be sure that the data I’m looking at gives me an accurate picture of what’s happening in the real world?In addition, you will learn statistics the right way-using your visual brain, simple math, basic (very basic) a

lgebra, and even a little philosophy and creative writing. With these five tools you’ll learn everything from how to create and analyze your own surveys to understanding what data really means.If you’ve ever said ＂I’m bad with numbers＂ this book is for you. If you’re in a job where you need to get f

luent in statistics, fast--this book is for you. Even if you just want to know how to make sense of opinion polls during the next election, this book is for you.About the Non-Obvious Guide Series - Like having coffee with an expert.Most business guidebooks treat you like a dummy or an idiot. Not thi

s one. This is a short and easy-to-read guidebook filled with useful, no bullshit, only-what-you-need-to-know, immediately actionable advice for getting more done and achieving more results on LinkedIn

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

為了解決Accurate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.

Atlas of Hybrid and Molecular Imaging: Anatomical Landmarks for Pet/Ct, Pet/MRI and Spect/CT Radiopharmaceuticals - Clinical Cas

為了解決Accurate的問題，作者Leporace, Mario,Calabria, Ferdinando,Gaudio, Eugenio 這樣論述：

For the first time, in this atlas nuclear physicians and radiologists cover the entire hybrid nuclear medicine (PET/CT, SPECT/CT and PET/MRI), based on their own case studies. The structure in three volumes represents an user friendly guide for interpreting PET and SPECT in relation to co-registe

red CT and/or MRI. Three companion volumes with a practical structure in two-page unit offer to the reader a navigational tool, based on anatomical districts, with labeled and explained low-dose multiplanar CT or MRI views merged with PET fusion imaging on the right hand and contrast enhanced CT or

MRI on the other side. This new format enables rapid identification of hybrid nuclear medicine findings which are now routine at leading medical centers. Volume 1 is focused on brain and neck PET imaging, with emphasis on PET/MRI; Volume 2 concerns thorax, abdomen and pelvis, with particular attenti

on on lung and liver segmental anatomy and evaluation of peritoneum. Special chapters on heart, lymph nodes and musculoskeletal system, are collected in the Volume 3. Each chapter begins with three-dimensional CT and/or MRI views of the evaluated anatomical region, bringing forward sectional tables.

Clinical cases, tricks and pitfalls linked to several PET or SPECT radiopharmaceuticals help to introduce the reader to peculiar molecular pathways and to improve confidence in cross-sectional imaging, that is vital for the accurate diagnosis and treatment of diseases.

約翰福音二十章1–18節中抹大拉馬利亞的轉變—以格雷馬斯行動素模型理論分析探討

為了解決Accurate的問題，作者劉虹君 這樣論述：

本論文旨在透過格雷馬斯（A. J. Greimas）的「行動素模型（Actantial Model）理論」，分析探討約翰福音二十章 1–18 節中抹大拉馬利亞的轉變。馬利亞在此復活敘事中，從一開始誤解空墳、跑向門徒求助，到最後被主所用，能堅定去向門徒、傳講耶穌復活並祂所吩咐的信息，可看出她經歷了重大的轉變。但本論文認為此轉變並非只來自於她發現耶穌復活，因她認出耶穌後，竟還做出耶穌所禁止的事（即拉住耶穌，參約 20:17），可見當時的馬利亞尚未轉變為「合上帝心意」或「能被上帝使用」的狀態。透過行動素模型理論對經文深層結構的分析，發現耶穌的「呼喚名字」、「自我啟示」、「賦予使命」以及馬利亞自己的

「信而順服」是影響她轉變的四大因素，且其轉變乃關乎她對耶穌以及對自己認知上的改變:她真正認識到耶穌是上帝的兒子，同時她也意識到，過去身為女性沒有地位、沒有價值的自己，如今竟因著耶穌，有了榮耀的身份與使命。這一切使她終能放下自己的渴望，單單順服於耶穌，成為主所使用的器皿。而透過對馬利亞的研究，也得出基督徒生命更新變化的三要素，即對上帝有正確確實的認知、對自己有正確確實的認知（知道其有限並上帝所賦予的價值與使命），以及人願意相信順服的心。