black box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

Handbook of Security Science

為了解決black box的問題，作者 這樣論述：

Dr Anthony Masys is an Associate Professor and Director of Global Disaster Management, Humanitarian Assistance and Homeland Security at the University of South Florida. His research interests focus on safety and security, risk, crisis and disaster management, resilience, safety culture, scenario pla

nning, human security, intelligence (alternative analysis), counter-terrorism, complex socio-technical system analysis, modeling and simulation, systems thinking, action research. A former senior Air Force Officer, Dr. Masys has a BSc in Physics and MSc in Underwater Acoustics and Oceanography from

the Royal Military College of Canada and a PhD from the University of Leicester. He is Editor in Chief for Springer Publishing book series: Advanced Sciences and Technologies for Security Applications and holds various advisory board positions with academic journals and books series. Dr. Masys is an

internationally recognized author, speaker and facilitator and has held workshops in Europe, Canada, South America, West Africa and Asia including at the UN World Conference on Disaster Risk Reduction March 2015 in Sendai, Japan. He has published extensively in the domains of physics and the social

sciences. His books include: Opening the Black Box of Human ErrorNetworks and Network Analysis for Defence and Security. Springer PublishingDisaster Management- Enabling Resilience. Springer PublishingApplications of Systems Thinking and Soft Operations Research for managing complexity. Springer Pu

blishingExploring the Security Landscape- non-traditional security challenges. Springer Publishing.Disaster Forensics: understanding root cause and complexity causality. Springer PublishingDr. Masys supports the University of Leicester (UK) as an associate tutor in their Distance MSc Program on Risk

Crisis and Disaster Management.

black box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black box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.

Handbook of Security Science

為了解決black box的問題，作者 這樣論述：

Dr Anthony Masys is an Associate Professor and Director of Global Disaster Management, Humanitarian Assistance and Homeland Security at the University of South Florida. His research interests focus on safety and security, risk, crisis and disaster management, resilience, safety culture, scenario pla

nning, human security, intelligence (alternative analysis), counter-terrorism, complex socio-technical system analysis, modeling and simulation, systems thinking, action research. A former senior Air Force Officer, Dr. Masys has a BSc in Physics and MSc in Underwater Acoustics and Oceanography from

the Royal Military College of Canada and a PhD from the University of Leicester. He is Editor in Chief for Springer Publishing book series: Advanced Sciences and Technologies for Security Applications and holds various advisory board positions with academic journals and books series. Dr. Masys is an

internationally recognized author, speaker and facilitator and has held workshops in Europe, Canada, South America, West Africa and Asia including at the UN World Conference on Disaster Risk Reduction March 2015 in Sendai, Japan. He has published extensively in the domains of physics and the social

sciences. His books include: Opening the Black Box of Human ErrorNetworks and Network Analysis for Defence and Security. Springer PublishingDisaster Management- Enabling Resilience. Springer PublishingApplications of Systems Thinking and Soft Operations Research for managing complexity. Springer Pu

blishingExploring the Security Landscape- non-traditional security challenges. Springer Publishing.Disaster Forensics: understanding root cause and complexity causality. Springer PublishingDr. Masys supports the University of Leicester (UK) as an associate tutor in their Distance MSc Program on Risk

Crisis and Disaster Management.

探討數位科技導入餐飲服務業對於消費者服務體驗之影響

為了解決black box的問題，作者張雅涵 這樣論述：

數位革命成為一股強大的變革力量，然而大多數的研究討論上亦聚焦於導入數位科技對廠商之優勢和效益，卻少以從消費者視角深入地探討心理感受。因此，本研究首先透過文獻綜整分析針對餐飲業將不同數位科技進行分類，並整理說明這些不同類型數位科技之特性，進而運用消費者深度訪談分析這些科技運用對於消費者接觸時所產生之感受和體驗，欲歸納出消費者在面對各類型餐飲數位科技服務的不同服務情境所產生的可能正反面感受。研究結果發現在服務前、中，主要優點是省時、便利、舒適自在。在服務後，其主要優點有輕便方便、舒適自在、自主性。再者，個人的心理也產生截然不同的缺點，在服務前，主要缺點分別為:系統介面未優化、缺乏溫度真實感、服務

介面制式化、疏遠性。而在服務中的有:缺乏溫度真實感、使用介面不流暢、功能單一化。至於在服務後，強迫不適感、時差性、資料安全疑慮盜刷風險上述三個為主要缺點。最後，本研究貢獻方面，在實務管理意涵上，期望透過這些結果能供業者在導入數位科技於服務流程中之商業價值，以提供餐飲業者在擬定服務創新策略時之參考。