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字現場：設計手法 x 創意來源 x 配色靈感，當代標題字體案例全解析

為了解決IN SEOUL 2的問題，作者gaatii光體 這樣論述：

【設計師必備──標體字體設計全書】 48個來自世界各地的標題字體案例超完整解析！ 字體設計的目的性 x 創意產生的來源 x 設計工具和配色與運用 設計師不藏私分享，三大要點讓你如臨設計現場！   「含括不同文化的豐富案例，展現出標準字設計的可能性。」 ── justfont 共同創辦人　葉俊麟 「不管從純欣賞或是研究的角度，本書收集的作品都相當精彩，值得一讀。」 ──「兵體」設計師　林廷翰  ▌本書為什麼是「標題字體」，而不是系統化的「印刷字體」？ 標題字體運用更加靈活、創意更加多元，學習和創作相對容易執行，適用的情境也更多。 系統化的印刷字體創作、開發是一個相對龐大的工程，有更

嚴謹的要求，也有專業的字體設計師進行長期的開發工作。 → 在追求個性化、獨特化的商業運用中，標題字體和印刷體有著不同的定位差異。本書將帶領讀者更加快速、簡易、直觀地學習到標題字體創意的目的和方法。 ▌本書特色 探討為活動宣傳設計的字體，從世界各地的演出、展覽、宣傳活動中精選出 48 組，具有非凡創新視覺風格的標題排版設計。 圖文並茂全面呈現字體的創作理念，並與設計師和設計工作室對話，深入探究各種標題設計的靈感、理論、實踐方法，清晰呈現創意標題字體的誕生過程。 本書還收錄了從 1920 年到 1960 年 11 張經典的電影海報，以開放的角度充分體現跨時代的創意標題設計的內涵與變化。 ▌

收入設計師 Jaemin Lee（韓國）│Ordinary People（韓國）│Sakaria Studio（瑞典）│Sepidar Hosseini（瑞典）│Scandinavian Design Group（挪威）│Rai Wang（台灣）│Mercedes Bazan（美國）│Design Bureau Izvorka Juric（克羅埃西亞）│Papanapa（巴西）│宋政傑（台灣）│Hwanie Choi（韓國）│Dora Balla（匈牙利）│Tuman studio（俄羅斯）│Weronika Rafa（英國）│Paika（韓國）│Park Jinhan（韓國）│Green Y

ang（台灣）│Eunjoo Hong & Hyungjae Kim（韓國）│studioTEXT（韓國）│TRIANGLE-STUDIO（韓國）│Okuyama Taiki（日本）│Gwangjun.com（中國）│Gianluca Fallone（阿根廷）│studio lindhorst-emme（德國）│Han Mano（韓國）│Studio Pros（台灣）│Parker Shen（台灣）│XueLin Lu（台灣）│Studio Dumbar（荷蘭）│Kenneth Kuh（美國）│GOO CHOKI PAR（日本）│ESH gruppa（俄羅斯）│Nahuel Bardi

（西班牙）│兩隻老虎設計工作室（台灣）│Heavy（墨西哥）│IS CREATIVE STUDIO（秘魯）│Franca Studio（墨西哥）│Pràctica（西班牙）│Studio Kimgarden（韓國）   ▌本書分為三大部分 1920年──1960年 11張經典的電影海報的字體設計 與專業創意團隊 another design 和 Erich Brechbühl 探討字體設計的邏輯創意 48 個來自世界各地的標題字體藝術設計的深入創意解析

IN SEOUL 2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IN SEOUL 2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.

Descriptional Complexity of Formal Systems: 23rd IFIP WG 1.02 International Conference, DCFS 2021, Virtual Event, September 5, 2

為了解決IN SEOUL 2的問題，作者 這樣論述：

This book constitutes the proceedings of the 23rd International Conference on Descriptional Complexity of Format Systems, DCFS 2021, which was supposed to take place in Seoul South Korea in June 2021, but the conference was canceled due to the COVID-19 crisis.The 16 full papers presented in this

volume were carefully reviewed and selected from 21 submissions. The conference focus to all aspects of descriptional complexity-the costs of description of objects in various computational models such as Turing machines, pushdown automata, finite automata or grammars.

設計與實作應用於西瓜採集無人機系統之人工智慧電腦視覺系統

為了解決IN SEOUL 2的問題，作者馬約瑟 這樣論述：

本文設計和實現了一種用於採集、導航和檢測西瓜的計算機視覺系統的,該系統使用無人駕駛飛機且無需人工干預。該系統實現了單板計算機Nvidia Jetson Nano和為圖像傳輸樣式(Pix2Pix)而創建的捲積神經網絡。這些元素整合在一起用於檢測,姿態估計和導航以達到目標。所有流程均由狀態機管理,該狀態機負責激活或停用在後台運行的不同流程步驟。ROS平台用於創建不同進程之間的數據交換。無人機使用稱為mavlink的標準化協議來將單板計算機與飛行計算機進行通信。ROS環境中的mavros用於解釋兩個元素之間的所有數據。無人機的目標是創建一個無監督的系統以快速便捷的方式處理繁重的任務,例如西瓜收穫。

用於檢測的神經網絡結構經設計可達到30幀FPS,可在配套計算機中滿足較高的可靠性,較低的內存使用以及快速判斷來滿足這三個條件,這些條件對於實現自主飛行是必不可少的。