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樂高：小積木立大功，用玩具堆出財富帝國的秘訣

為了解決Minecraft 聚 寶 是什麼的問題，作者蛯谷敏 這樣論述：

玩具業界營業額全球第一！品牌信賴度排行全球第一！ 【營益率30％】【ROE 43％】 來自丹麥的小小塑膠積木 如何絕處逢生，創造出超越「玩具」的價值 締造與科技巨擘GAFA匹敵的超高經營效率？   揭開世紀玩具的不朽之謎！ 學習全球第一玩具品牌的經營成功法則   　　你一定玩過樂高，但你也許不知道：   　　任天堂、TOYOTA、Google、MIT、NASA⋯⋯都與樂高有著出乎意料的關聯！   　　樂高是現在世界上最大、利潤最高的玩具製造商，它曾被美國《財星》雜誌評為「世紀玩具」，更獲選為「全球最具影響力的品牌」，蟬聯「全球最佳聲譽企業」的寶座。在COOVID-19疫情下依然逆勢成長，營

收屢創新高。   　　轉型創新必看！ 　　面對時代新趨勢，向玩具龍頭學習變與不變的經營哲學   　　1932年創立於丹麥的樂高，發展至今近90年，在發展初期幾乎無人料想到其產品對於成人，能夠像對於兒童一樣具有吸引力。除了玩具外，還跨足不同商業領域，包含電影、遊戲、主題樂園等。   　　在今日如此成就下，其實鮮少人知道，樂高曾幾度陷入經營危機：因專利保護期結束，相繼產生，造成市場占有率急劇縮小；與《星際大戰》、《哈利波特》等知名 IP 合作，急於改革卻導致樂高一度面臨破產⋯⋯   　　在這些危機中，樂高如何活用原有的創造性，提高商品價值的產品開發、品牌養成、培育廣大粉絲群、進行異業合作等策略，突

破經營困境，創下高收益？ 　　 　　創造競爭優勢，「拼」出好成績 　　向樂高學習品牌永續經營的核心關鍵   　　品牌經營永遠是進行式！本書揭開超越GAFA（GOOGLE、AMAZON、FACEBOOK、APPLE）的樂高成功法則，教你掌握連Google 、TOYOTA都受到影響，持續創造品牌價值的四大關鍵—— 　　 　　【關鍵1】理解自身強項 　　【關鍵2】創造能不斷收獲佳績的體系 　　【關鍵3】經營社群、強化連結 　　【關鍵4】明確的企業存在意義   本書特色   　　1. 一部不只為樂高迷而寫的企業經營全紀錄 　　本書透過講述世界品牌樂高的歷史、不為人知的經營危機、復甦關鍵，分析成功企業的

經營法則。面對後疫情時代新趨勢，樂高的成功經驗值得所有產業借鏡。   　　2. 來自日本記者的深度報導，收錄5篇重量級獨家專訪！ 　　作者踏訪位於丹麥的樂高總公司以及世界各地的工作現場，從經營高層到第一線員工，訪問業界相關人士。並以樂高品牌集團執行董事長喬丹．維格．納斯托普（Jørgen Vig Knudstorp）為首，專訪樂高經營高層及在商業經營、革新創意領域的專家教授。   　　3. 樂高工廠內部大公開 　　本書附錄帶領讀者深入樂高歷史最悠久的生產據點——科恩馬肯（Kornmarken）工廠，一窺高效率經營秘密！   聯合推薦   　　大黑白　積木藝術家 　　邱瓊玉　印花樂 共同創辦人暨

營運長 　　鄭涵睿　綠藤生機 共同創辦人暨執行長 　　顏君庭　Pinkoi 共同創辦人暨執行長   好評推薦   　　「這是家喻戶曉、與時俱進的積木玩具的故事，更是一個驚奇、富有教育與創新意義的品牌經營精彩歷程。」——邱瓊玉（印花樂 共同創辦人暨營運長）   　　「這本書不只教導如何融合企業使命與品牌管理以促進成長，也讓我重新成為樂高的粉絲。」——鄭涵睿（綠藤生機 共同創辦人暨執行長）   　　★亞馬遜讀者4.6顆星推薦   　　「企業經營該如何走出困局、度過危機，這是本充滿啟發的經營指南。」 　　 　　「解析樂高積木是怎麼發展為廣為人知的品牌的一本書。儘管其他公司能製作出類似的產品，但樂高對

於企業的存在意義自有一套的『哲學』，因而能夠不斷提升品牌價值。我想這就是樂高之所以能不分國界、長期受到大眾喜愛的原因吧。」   　　「一本不只揭開樂高的成功秘密，同時也讓人反思自身處於社會或公司的『自我價值』的好書。」

Minecraft 聚 寶 是什麼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Minecraft 聚 寶 是什麼的問題，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.