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Innovation and Technology Law: An Industry Guide

為了解決Field的問題，作者Chowdhury, Aliah 這樣論述：

Innovation and Technology Law: An Industry Guideis a reference book that compiles summaries of relevant law and regulatory frameworks in industrial context and terms, compartmentalised by technology field or application and technical subject matter. The book is a landscaping and deconstruction of le

gal frameworks relating to innovation and technology across technology fields and European territories, summarised in non-legal terms and in industrial context. It not only makes it easier for lawyers and non-lawyers alike to digest a broad regulatory and industry coverage, but also easier for techn

ologists to interpret and engage with in practice. Aliah Chowdhury has accumulated considerable contact with technology research and development across many industries, as her current career phase in innovation management follows fifteen years of higher education and industry experience across a b

road spectrum of science and technology sectors, primarily in roles of technical communication and analysis. With a BEng (Hons) in Electronic and Electrical Engineering from the University of Glasgow, followed by an MSc in Remote Sensing and Image Processing from the University of Edinburgh; Aliah c

ompleted an LLM in Innovation, Technology and the Law from the Edinburgh University Law School after a decade in industry, motivated by a keen interest in the intersection between technology and the law, from intellectual property to technology regulation.After a spell as an in-house Innovation and

Intellectual Property Advisor, Aliah is now at the heart of a leading university’s multidisciplinary technology transfer and innovation management service, giving her frontline interaction with cutting-edge innovation in both academia and industry across diverse technical fields.

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

為了解決Field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.

Ore Genesis and Deposit Model: The Mianning-Dechang Ree Belt in Western Sichuan Province, China

為了解決Field的問題，作者Xie, Yuling,Hou, Zengqian,Tian, Shihong 這樣論述：

Yuling Xie is an experienced University-based economic geologist with more than 25 years of teaching, research and field practice. Her core skills include mineral deposit genesis, structural geology and field studies, and applied geochemistry and mineralogy. She has gained international reputation i

n the field of REE deposit, fluid inclusion, and specialises in the integration of fluid inclusion studies with mineral deposit models. She has worked on a range of mineral deposit types including: carboniatite-hosed REE deposits, porphyry copper systems, lode-gold deposits, epithermal silver and po

lymetallic systems, hydrothermal zinc-lead deposits, andcopper-iron skarns. Research outcomes from her research have been presented at various national and international conferences and published in journals in both Chinese and English.

探討認知師徒制融入數位學習之學習成效及自主學習行為-以醫放系實習生學習上腹部超音波病灶辨認為例

為了解決Field的問題，作者蘇于珊 這樣論述：

近幾年，受到疫情的影響使得數位學習在教學領域上的應用愈來愈普遍，數位學習運用在醫學領域相關課程的學門逐漸受到重視。醫院放射科的超音波技術非常重視實作經驗及影像辨認，一向使用師徒制的方式來進行教學，每位實習生所遇到的病灶量與質有差異，且學習過程缺少了反思和探索。因此本研究運用融入認知師徒制之數位學習來進行上腹部超音波病灶之教學，以到醫院實習的醫放系22位實習生為研究對象，希望能藉此提升實習生辨認超音波病灶的學習成效、並探討其學習滿意度及自主學習行為。結果發現運用數位學習上腹部超音波的方式確實能夠提升實習生辨認超音波病灶的學習成效，且整體學習滿意度頗佳，自主學習能力也有提升學習滿意度及自主學習之

間具有顯著相關，且學生的自主學習能力與專題報告也呈現顯著正相關。建議臨床教師推動數位學習融入超音波實習課程，可採用同步線上課程和非同步線上課程的搭配方式及利用線上討論和通訊軟體提供互動活動，未來研究可融入自主學習策略於教學探討對學生自主學習行為和能力的幫助。