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Mathematical Signal Processing: A Visual Approach Using MATLAB

為了解決signal的問題，作者Sepulveda, Juan B. Seoane,Munoz Fernandez, Gustavo A.,del Mar Fe 這樣論述：

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

為了解決signal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.

Governing Divided Societies: Habsburg Austria’s Democratic Legacy and the Czechoslovak First Republic

為了解決signal的問題，作者Howe, Philip J.,Lorman, Thomas A.,Miller, Daniel E. 這樣論述：

The authors of this volume challenge conventional notions about Habsburg and Czechoslovak politics, arguing that they were more democratic than they often appear. At combining political science and history, the authors’ guiding principle and means of analysis is the consociational model of democracy

. This theory, linked best to Arend Lijphart, asserts that consociationalism guarantees minorities a say in government and helps preserve democracy in societies that experience deep ideological, cultural, or ethnic divisions. It enables the main segments to be isolated organizationally from each oth

er, thus avoiding conflict, and affording the leaders to make compromises for the good of the whole.Consociationalism has proven its worth as a model for describing contemporary democracies and diagnosing their ills. By exploring the institutions and practices of the Habsburg Monarchy before 1918 an

d the Czechoslovak First Republic, Howe, Lorman, and Miller prove the value of the consociational theory at analyzing the past. They hold that a multitude of parties, frequent cabinet changes, and reliance on circles of experts do not necessarily signal flawed democracies, when, in fact, they are fe

atures of consociationalism. This book is a call to specialists to view current politics not just in terms of majoritarian democracy but rather by the standard of the consociational democracies. Philip J. Howe is a professor in of political science at Adrian College in Adrian, MI.Thomas A. Lorman

is a teaching fellow in the School of Slavonic and East European Studies at the University College London.Daniel E. Miller is a professor of history at the University of West Florida in Pensacola.