Purpose To investigate the relationship between the risk of pediatric inflammatory multisystem syndrome temporally associated with SARS-CoV-2 (PIMS-TS) in children and the predominance of different SARS-CoV-2 variants of concern (VOC) over time. Methods In relation to the Alpha, Delta, and Omicron VOC phases of the pandemic, the risk of developing PIMS-TS was calculated by analyzing data for rtPCR-confirmed SARS-CoV-2 infections reported to the German statutory notification system, along with data captured by a separate, national PIMS-TS registry. Both overall infection rates and age group-specific ratios of PIMS-TS during the different pandemic phases were calculated using the Alpha period as the baseline. Results The PIMS-TS rate changed significantly over time. When the Alpha VOC was dominant [calendar week (CW) 11 in March–CW 31 in August 2021], the PIMS-TS rate was 6.19 [95% confidence intervals (95% CI) 5.17, 7.20]. When Delta prevailed (CW 32 in August 2021–CW 4 in January 2022), the rate decreased to 1.68 (95% CI 1.49, 1.87). During the Omicron phase (CW 5 in January–CW 16 in April 2022), the rate fell further to 0.89 (95% CI 0.79, 1.00). These changes correspond to a decreased PIMS-TS rate of 73% (rate ratio 0.271, 95% CI 0.222; 0.332) and 86% (rate ratio 0.048, 95% CI 0.037; 0.062), respectively, in comparison to the Alpha period. Rate ratios were nearly identical for all age groups. Conclusion The data strongly suggest an association between the risk for PIMS-TS and the prevailing VOC, with highest risk related to Alpha and the lowest to Omicron. Given the uniformity of the decreased risk across age groups, vaccination against SARS-CoV-2 does not appear to have a significant impact on the risk of children developing PIMS-TS.

新版個人資料保護法，在歷經立法院多年之審議，於民國99 年4月27日三讀通過，並於同年5月26 日由總統公布；而行政院也在歷經一年多來與國內各界反覆討論後，正式公布「個資法施行細則修正條文」，並定於民國101年10月1日正式施行。 雖然早在「電腦處理個人資料保護法」的年代，保險業已經列入法律適用範圍內，但還是侷限於電腦資料的處理；而保險業在相關資訊安全管理工作的施行，主要多侷限於公司單位所管理電子資料為主。保險業無論公司規模大小、擁有個人資料數量多寡，均必需受到個人資料保護法規範；而在客戶個人資料蒐集、處理及各式的運用上，此法無疑對保險業造成莫大衝擊。因此積極規劃及施行滿足個人資料保護的資訊安全管理制度，是保險公司當前極為重要的課題。 本研究的目的在以個人資料保護法為法令遵循為前提，探討多數保險業現行採行的ISO 27001資訊安全管理標準為基礎架構，蒐集分析國內外個人資訊管理系統(PIMS)規範，期望在滿足保險業業務特性下，透過個案公司規劃實例，為個案公司及保險業掌握資安管理制度的關鍵重點，強化個人資料保護防護作為，以符合個資保護要求。

Submitted by Automa??o e Estat?stica (sst@bczm.ufrn.br) on 2016-06-03T23:48:41Z No. of bitstreams: 1 EdsonJacksonDeMedeirosNeto_DISSERT.pdf: 2349422 bytes, checksum: 58dbff032ce7a77c69ab57cce418be2d (MD5) / Approved for entry into archive by Arlan Eloi Leite Silva (eloihistoriador@yahoo.com.br) on 2016-06-07T19:55:39Z (GMT) No. of bitstreams: 1 EdsonJacksonDeMedeirosNeto_DISSERT.pdf: 2349422 bytes, checksum: 58dbff032ce7a77c69ab57cce418be2d (MD5) / Made available in DSpace on 2016-06-07T19:55:39Z (GMT). No. of bitstreams: 1 EdsonJacksonDeMedeirosNeto_DISSERT.pdf: 2349422 bytes, checksum: 58dbff032ce7a77c69ab57cce418be2d (MD5) Previous issue date: 2015-11-09 / O grande volume de dados gerados como resultado da supervis?o de processos de automa??o na ind?stria gerou como consequ?ncia um vasto espa?o de armazenamento em disco, assim como dificuldade na transmiss?o destes dados por links de telecomunica??es. Os algoritmos de compress?o com perda de dados surgiram na d?cada de 90 com intuito de solucionar estes problemas, passando a serem utilizados em sistemas de supervis?o industrial para a compress?o de dados em tempo real. Para isso estes foram projetados para eliminar informa??es redundantes e indesejadas de forma simples e eficiente. No entanto, os par?metros destes algoritmos necessitam de serem configurados para cada vari?vel de processo, tornando invi?vel a configura??o manual em caso de sistemas que supervisionam milhares de vari?veis. Nesse contexto este trabalho prop?e o algoritmo Adaptive Swinging Door Trending, que consiste numa adapta??o do Swinging Door Trending, em que seus principais par?metros s?o ajustados dinamicamente atrav?s da an?lise de tend?ncias do sinal. Prop?e-se tamb?m uma an?lise comparativa de desempenho dos algoritmos de compress?o com perda de dados aplicados sobre vari?veis de processo de s?ries temporais e cartas dinamom?tricas de fundo de po?o. Os algoritmos abordados para efeito comparativos foram os lineares por partes e os de transformadas. / The great amount of data generated as the result of the automation and process supervision in industry implies in two problems: a big demand of storage in discs and the difficulty in streaming this data through a telecommunications link. The lossy data compression algorithms were born in the 90?s with the goal of solving these problems and, by consequence, industries started to use those algorithms in industrial supervision systems to compress data in real time. These algorithms were projected to eliminate redundant and undesired information in a efficient and simple way. However, those algorithms parameters must be set for each process variable, becoming impracticable to configure this parameters for each variable in case of systems that monitor thousands of them. In that context, this paper propose the algorithm Adaptive Swinging Door Trending that consists in a adaptation of the Swinging Door Trending, as this main parameters are adjusted dynamically by the analysis of the signal tendencies in real time. It?s also proposed a comparative analysis of performance in lossy data compression algorithms applied on time series process variables and dynamometer cards. The algorithms used to compare were the piecewise linear and the transforms.

隨著資訊科技的蓬勃發展，資訊技術可以提昇組織效率與競爭力，資訊系統或網站亦是組織營運重要命脈。而在近年來全球資訊安全事件不斷發生，資訊犯罪手法不斷翻新，所肇生的系統損害、資料毀損、個資外洩、財務詐騙事件近來更是層出不窮，對單位或公司而言風險不斷提高，傷害亦相對嚴重，甚至導致公司信譽破產，面臨倒閉威脅，為保護組織內部資訊相關資產與個人資料，並保持組織持續正常運作，資訊安全管理系統（ISMS）與個人資訊管理系統 (PIMS)便是一套可有效控制管理之方法；ISMS與PIMS分兩次來導入，造成組織增加工作負荷，有疊床架屋情形，成本有部分重複投資現象。本研究試著以資料的生命週期，資訊安全的機密性、完整性、可用性，PDCA運作模型...等角度進行本質上探討，來進行整合ISMS與PIMS的整合工作。 經文獻探討與專家學者建議，本研究突破各項盲點，從各角度分析進行多面向整合工作，並提出4點可有效整合具體作法：1. 清查作業流程須包含個人資料所延伸之流程。2. 進行作業流程上資訊資產及個資清查作業。3. 資訊資產及個人資料風險評鑑作業。4. 建立ISMS與PIMS四階文件，產出ISO27001適用性聲明須包含個資法。 本研究以國防部網站系統為例，運用整合結果進行實作，將實作經驗分享給未來有意導入ISMS與PIMS之IT人員，實作結果也證實本研究提出論點確實有效，更有效且更有邏輯性的面對各種資安與個資問題，以作業流程面來分析資安與個資，讓每個控制點更加明確，最後實作運用以各國均能接受的ISO標準(ISO 27001標準包含個資管理流程)來驗證本實作，也證明本研究整合後，在實施（Plan-Do-Check-Act）管理系統確實有效，均能符合相關標準與法規。