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Guide to Clinical Hospital Rotations

為了解決Algorithms的問題，作者Jayakumar, Rebecca A.,Nemecek, Branden D. 這樣論述：

High-yield coverage of common infectious disease states that every pharmacy student needs to knowRotations are essential to the development of skills needed to practice pharmacy, yet there’s very little clear guidance for students seeking to prepare for and make the most of their rotations. Guide

to Clinical Hospital Rotations provides an expert coverage of everything you need to succeed, including signs and symptoms, diagnostic considerations of differential diagnosis, treatment algorithms for empiric therapy and specific step-down therapy, and monitoring of the disease state. The authors

describe the disease, first line of treatment, and DX treatment monitoring. Chapters cover microbiology, antimicrobial regimen selection, urinary tract infections, pneumonia, influenza, respiratory tract infections, sinusitis, skin infections, infectious endocarditis, sepsis and septic shock, HIV, t

uberculosis, and much more.

Algorithms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Algorithms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.

The Anesthesia Guide, 2nd Edition

為了解決Algorithms的問題，作者Atchabahian, Arthur,Gupta, Ruchir 這樣論述：

A practical, quick-reference guide to clinical anesthesiology - presented in full colorPerfect for the OR and ICU, this carry-anywhere handbook is concise yet comprehensive, adeptly covering the wide range of topics encountered in the practice of anesthesiology. It is the perfect learning tool for t

rainees and an outstanding reference for experienced anesthesiologists. Presented in full color, The Anesthesia Guide, Second Edition utilizes numerous illustrations, high-yield bulleted text, diagrams, tables, and algorithms to impart must-know information on how specific cases should be managed. U

pdates to the Second Edition focus on making the content even more high yield, and a more consistent user-friendly design.-Coverage includes drug dosages, monitoring, complications, and clinical pearls. -An international team of contributors ensures coverage of topics from a global perspective-Divid

ed into color-coded sections based on anesthetic subspecialty for ease of reference Arthur Atchabahian, MD is Associate Professor of Anesthesiology at New York University.Ruchir Gupta, MD is Staff Anesthesiologist at North Shore University-Long Island Jewish Hospital.

公有雲端企業資料庫即時同步備援到企業自有機房之研究

為了解決Algorithms的問題，作者周建竹 這樣論述：

由於在近十年來網路通訊技術的快速發展，雲端服務在手機時代已經被各企業和個人所採用，在此平台上，提供的服務，可以使租用戶能快速建構符合他們本身所需要的資料系統，另外在以前雲端服務及網路通訊技術尚未普及的年代，資訊系統備援是有地區距離的限制，而現在，在地端和雲端聯結更緊密的時代，在雲端各應用系統的後端的關聯式資料庫儲存重要的交易資料，其中備援設計更是極為重要。在本論文中研究的目的將以雲端的關聯式資料庫層級即時備援到地端，從可用性、即時性、保密安全性、持久性保存和搬遷性等做探討，本研究所採用的方式為在雲端租用和設定環境和地端架設環境，建構本研究之研究模型，進行雲端到地端在關聯式資料庫層級的備援探討

分析，並使用雲端運算業者Azure的計量統計圖表做資料蒐集及資料分析，呈現雲端硬碟讀寫累積使用量和網路頻寬累積使用量的數據並進行分析和探討，企業將可依照自己業務特性，做出符合最佳化的雲端資料庫備援到地端資料庫方式的決策。