Workflow design的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列懶人包和總整理

Unity in Action, Third Edition: Multiplatform Game Development in C#

為了解決Workflow design的問題，作者Hocking, Joseph 這樣論述：

This hands-on beginners guide gets you building games fast, all with the awesome Unity engine! You’ll speed past the basics and use your existing coding skills to create 2D, 3D, and AR/VR games.In Unity in Action, Third Edition, you will learn how to: Create characters that run, jump, and bump i

nto things Build 3D first-person shooters and third-person action games Construct 2D card games and side-scrolling platformers Script enemies with AI Improve game graphics by importing models and images Design an intuitive user interface for your games Play music and spatially-aware sound effects Co

nnect your games to the internet for online play Deploy your games to desktop, mobile, and the web Thousands of new game developers have chosen Joe Hocking’s Unity in Action as their first step toward Unity mastery. Starting with the initial groundwork of a new game development project, you’ll quic

kly start writing custom code instead of clicking together premade scripts. This fully updated third edition comes packed with fully refreshed graphics, Unity’s latest features, and coverage of augmented and virtual reality toolkits. You’ll master the Unity toolset from the ground up, learning the s

kills to go from application coder to game developer. Foreword by Jesse Schell. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Writing games is rewarding and fun--and with Unity, it’s easy to get started! Unity han

dles the heavy lifting, so you can focus on game play, graphics, and user experience. C# support and a huge ecosystem of prebuilt components help even first-time developers go from the drawing board to the screen fast. About the bookUnity in Action, Third Edition teaches you to create games with th

e Unity game platform. It’s many 2D, 3D, and AR/VR game examples give you hands-on experience with Unity’s workflow tools and state-of-the-art rendering engine. This fully updated third edition presents new coverage of Unity’s XR toolkit and shows you how you can start building with virtual and augm

ented reality. What’s inside Create characters that run, jump, and bump into things Script enemies with AI Play music and spatially-aware sound effects Deploy your games to desktop, mobile, and the web About the reader For programmers who know any object-oriented programming language. Examples ar

e in C#. About the authorJoe Hocking is a software engineer and Unity expert specializing in interactive media development. Table of Contents PART 1 FIRST STEPS 1 Getting to know Unity 2 Building a demo that puts you in 3D space 3 Adding enemies and projectiles to the 3D game 4 Developing graphics

for your game PART 2 GETTING COMFORTABLE 5 Building a Memory game using Unity’s 2D functionality 6 Creating a basic 2D platformer 7 Putting a GUI onto a game 8 Creating a third-person 3D game: Player movement and animation 9 Adding interactive devices and items within the game PART 3 STRONG FINISH

10 Connecting your game to the internet 11 Playing audio: Sound effects and music 12 Putting the parts together into a complete game 13 Deploying your game to players’ devices

Workflow design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Workflow design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.

Hands-On Smart Contract Development with Hyperledger Fabric V2: Building Enterprise Blockchain Applications

為了解決Workflow design的問題，作者Zand, Matt,Wu, Xun,Morris, Mark Anthony 這樣論述：

Matt is a serial entrepreneur and the founder of several successful tech startups such as DC Web Makers, Coding Bootcamps and High School Technology Services. He has written more than 100 technical articles and tutorials on blockchain development for Hyperledger, Ethereum and Corda R3 platforms. At

DC Web Makers, he leads a team of blockchain experts for consulting and deploying enterprise decentralized applications. As a chief architect, he has designed and developed blockchain courses and training programs for Coding Bootcamps. He has a master’s degree in business management from the Univers

ity of Maryland. Prior to blockchain development and consulting, he worked as senior web and mobile App developer and consultant, angel investor, business advisor for a few startup companies.Brian is a senior blockchain developer and consultant at DC Web Makers. He is a prolific writer on the subjec

t of blockchain. As one of the prominent voices in the blockchain community, he has written 7 books on blockchain covering popular blockchain technologies like Hyperledger and Ethereum from beginner to advance levels.He has 17+ years of extensive hands-on experience with blockchain-based enterprise

application design and development, big data, cloud computing, UI, and system infrastructure solutions. He has also successfully repurposed and integrated the blockchain-based applications into gaming, supply chain, as well as, asset device management industries. In addition to his strong background

in the blockchain space, he has served as the tech lead for multiple key technology initiatives at leading financial institutions including J.P. Morgan, Citigroup, and Bank of America.Mark is an autodidact, with 30 years experience. Mark founded and hosts the following monthly meetups: Austin Block

chain Technology (est. 7/15, 2,700+ members) & Hyperledger Austin (est. 7/16, 750+ members). One of Mark’s early startups won the FDIC RTC ＄50M contract for Document Imaging and Workflow Automation; Mark designed and led development of a healthcare application that was nominated by the State of Texa

s for Best Government to Business Application Architecture & Design into the States CIO Awards competition--it manages 5,700 long term care facilities; Mark was an Independent ＂hired gun＂ for IBM, Sun Microsystems, Big 6, Fortune 500, Federal and State Government clients for over 20+ years, and is a

n expert in Blockchain, AI, AR, IIoT, ecommerce, security, systems integration, microservices, cryptocurrency, enterprise software systems engineering, and re-engineering to Cloud (Azure & AWS), Internet and Intranet SOA technology, and Federated Partner integration and single-sign-on. Mark’s a worl

d thought leader and true visionary-- A sample of Mark’s past clients: LCRA, Epicor, IBM, Sun Microsystems, American Achievement Corp, InterContinental Hotels Group (IHG), Gap Inc., Sprint, FDIC, Texas Department of Human Services, Blue Cross Blue Shield Assoc., CSX Intermodal, American Airlines, Fe

derated Systems Group, Cap Gemini Inc., EDS Federal, COMCAST, Zions National Bank, Depository Trust & Clearing Corp., Federal Reserve Information Technology, Transarc (IBM)

Automated Vision-based Post-Earthquake Safety Assessment for Bridge Using STF-PointRend and EfficientNetB0

為了解決Workflow design的問題，作者Kenneth Harsono 這樣論述：

Structural health monitoring (SHM) on the bridge is important to know the usability of the bridges. However, conventional inspection is labor-intensive and expensive. This method is not suitable for post-earthquake inspections that require speed and consistency. Therefore, this research aims to dev

elop an automated bridge inspection using STF-PointRend and EfficientNetB0. The STF-PointRend consists of two-part, namely symbiotic organism search as a hyper-parameter optimizer and PointRend as semantic segmentation. This model is used to recognize the component and the damage type which will be

used to get the percentage of the damaged component. On the other hand, the EfficientNetB0 uses as the image classifier. The output of this model is used to get the damage level from each component. As a base to determine the safety of the bridge, this study uses the degree of earthquake resistance.

This rating system is based on the DERU method but only considers the structural component. The result shows that STF-PointRend gets a good testing result with the mIoU of 82.67% and 71.42% for component and damage detection. Meanwhile, the EfficientNet got an average F1score of 0.85912 for the tes

ting dataset. For further evaluation, this research uses two minor bridges that suffered catastrophic earthquakes from Palu Earthquake in 2018. The evaluation shows that both bridges need maintenance as soon as possible.