259 research outputs found

    Specialist Perception of Severe Asthma in Korea: A Questionnaire Survey

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    The Working Group on Severe Asthma of the Korean Academy of Allergy and Clinical Immunology recently published an expert opinion paper on the management of severe asthma in Korea. When developing a consensus, the working group encountered several diagnostic and treatment issues and decided to perform a questionnaire survey of Korean specialists with regard to severe asthma. An e-mail with a uniform resource locator link to the questionnaire was sent to 121 asthma specialists, of whom 44.6% responded. The most commonly accepted definitions of severe asthma were a history of fatal exacerbation or an asthma-triggered need for mechanical ventilation, 3-4 oral corticosteroid (OCS) bursts/year, and maintenance of OCS therapy for 3-6 months per year. Before diagnosing severe asthma, most physicians contemplate chest computed tomography, seek to control chronic rhinosinusitis, and consider poor inhaler compliance. For patients with uncontrolled severe asthma accompanied by type 2 (T2)-high inflammation, most biologics available in Korea were considered appropriate, but gaps were apparent in terms of T2-low asthma treatments. These findings about specialist perception of diagnosis and treatment of severe asthma will inform the use of emerging new drugs and facilitate personalized therapy.ope

    Functional Encryption์„ ์ด์šฉํ•œ ํ”„๋ผ์ด๋ฒ„์‹œ ๋ณดํ˜ธ ์˜จ๋ผ์ธ ํƒ€๊ฒŸ ๊ด‘๊ณ  ์‹œ์Šคํ…œ

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ์ปดํ“จํ„ฐ๊ณตํ•™๋ถ€, 2023. 2. ๊ถŒํƒœ๊ฒฝ.As interest in protecting user privacy began to surge, the online advertising industry, a multi-billion market, is also facing the same challenge. Currently, online ads are delivered through real-time bidding (RTB) and behavioral targeting of users. This is done by tracking users across websites to infer their interests and preferences and then used when selecting ads to present to the user. The user profile sent in the ad request contains data that infringes on user privacy and is delivered to various RTB ecosystem actors, not to mention the data stored by the bidders to increase their performance and profitability. I propose a framework named FAdE to preserve user privacy while enabling behavioral targeting and supporting the current RTB ecosystem by introducing minimal changes in the protocols and data structure. My design leverages the functional encryption (FE) scheme to preserve the user's privacy in behavioral targeted advertising. Specifically, I introduce a trusted third party (TTP) who is the key generator in my FE scheme. The user's profile originally used for behavioral targeting is now encrypted and cannot be decrypted by the participants of the RTB ecosystem. However, the demand-side platforms (DSPs) can submit their functions to the TTP and receive function keys. This function derives a metric, a user score, based on the user profile that can be used in their bidding algorithm. Decrypting the encrypted user profiles with the function keys results in the function's output with the user profile as its input. As a result, the user's privacy is preserved within the RTB ecosystem, while DSPs can still submit their bids through behavioral targeting. My evaluation showed that when using a user profile bit vector of length 2,000, it took less than 20ms to decrypt the encrypted user profile and derive the user score metric through the inner-product function. This is much smaller than my criteria of 50ms, which is based on the typical bidding timeframe (100โ€“1,000ms) used in the ad industry. Moreover, my result is smaller than the state-of-the-art privacy-preserving proposals using homomorphic encryption or multi-party computations. To demonstrate the potential for real-world deployment., I build a prototype implementation of my design that consists of a publisher's website, an ad exchange (ADX), the DSP, and the TTP.์ตœ๊ทผ ์‚ฌ์šฉ์ž ๊ฐœ์ธ ์ •๋ณด ๋ณดํ˜ธ์— ๋Œ€ํ•œ ๊ด€์‹ฌ์ด ๊ธ‰์ฆํ•˜๋ฉด์„œ ์ˆ˜์‹ญ์–ต ๊ทœ๋ชจ์˜ ์‹œ์žฅ์ธ ์˜จ๋ผ์ธ ๊ด‘๊ณ  ์‚ฐ์—…๋„ ๊ฐ™์€ ๋ฌธ์ œ์— ์ง๋ฉดํ•ด ์žˆ๋‹ค. ํ˜„์žฌ์˜ ์˜จ๋ผ์ธ ๊ด‘๊ณ ๋Š” Real-time Bidding (RTB)๊ณผ ์‚ฌ์šฉ์ž ํƒ€๊นƒ ๊ด‘๊ณ  (targeted advertising)๋กœ ๋Œ€ํ‘œ๋œ๋‹ค. ์ด๋Š” ์›น์‚ฌ์ดํŠธ์—์„œ ์‚ฌ์šฉ์ž์˜ ์ •๋ณด๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ๊ด€์‹ฌ๊ณผ ์„ ํ˜ธ๋„๋ฅผ ์ถ”์ •ํ•˜๊ณ  ์ด๋ฅผ ์ด์šฉํ•ด ์‚ฌ์šฉ์ž์—๊ฒŒ ํ‘œ์‹œํ•  ์ ์ ˆํ•œ ๊ด‘๊ณ ๋ฅผ ์ž…์ฐฐ, ์„ ํƒํ•˜๋Š” ๋ฐฉ์‹์ด๋‹ค. ๊ด‘๊ณ  ์š”์ฒญ์„ ์œ„ํ•ด ์ „์†ก๋˜๋Š” user profile์—๋Š” ์‚ฌ์šฉ์ž์˜ ๊ฐœ์ธ ์ •๋ณด๋ฅผ ์นจํ•ดํ•˜๋Š” ๋ฐ์ดํ„ฐ๊ฐ€ ํฌํ•จ๋˜์–ด ์žˆ์œผ๋ฉฐ, RTB ์ƒํƒœ๊ณ„์˜ ์—ฌ๋Ÿฌ ์ฐธ์—ฌ์ž์—๊ฒŒ ์žˆ๋Š” ๊ทธ๋Œ€๋กœ ์ „๋‹ฌ๋˜๋Š” ๋ฌธ์ œ์ ์ด ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์‚ฌ์šฉ์ž์˜ ๊ฐœ์ธ ์ •๋ณด๋ฅผ ๋ณดํ˜ธํ•˜๋Š” ๋™์‹œ์— ๊ธฐ์กด์˜ ํ”„๋กœํ† ์ฝœ ๋ฐ ๋ฐ์ดํ„ฐ ๊ตฌ์กฐ์—๋Š” ์ตœ์†Œํ•œ์˜ ๋ณ€๊ฒฝ์„ ๋„์ž…ํ•จ์œผ๋กœ์จ ํ˜„์žฌ์˜ RTB ์ƒํƒœ๊ณ„์—์„œ ๊ณ„์†ํ•ด์„œ ํƒ€๊นƒ ๊ด‘๊ณ ๊ฐ€ ๊ฐ€๋Šฅํ•˜๋„๋ก ์ง€์›ํ•˜๋Š” FAdE๋ฅผ ์ œ์•ˆํ•œ๋‹ค. ์ œ์•ˆํ•˜๋Š” ๋””์ž์ธ์€ Functional Encryption (FE)๊ณผ ๊ทธ key ์ƒ์„ฑ์ž์ธ Trusted Third Party (TTP)์˜ ๋„์ž…์„ ํ†ตํ•ด ๊ฐœ์ธ์ •๋ณด ๋ณดํ˜ธ๊ฐ€ ๊ฐ€๋Šฅํ•œ ํƒ€๊นƒ ๊ด‘๊ณ ๋ฅผ ์ œ๊ณตํ•œ๋‹ค. ๋ณธ ๋””์ž์ธ์—์„œ๋Š”, ๊ธฐ์กด ํƒ€๊นƒ ๊ด‘๊ณ ๋ฅผ ์œ„ํ•ด ์‚ฌ์šฉ๋˜๋˜ user profile์„ ์•”ํ˜ธํ™”(encrypt)ํ•˜์—ฌ ์ „๋‹ฌํ•˜๋ฏ€๋กœ ๋‹ค๋ฅธ RTB ํ™˜๊ฒฝ์˜ ์ฐธ์—ฌ์ž๊ฐ€ ํ•ด๋…(decrypt)ํ•  ์ˆ˜ ์—†๋‹ค. Demand Side Platform (DSP)์€ ๊ด‘๊ณ  ์š”์ฒญ์— ๋Œ€ํ•œ ์ž…์ฐฐ ์—ฌ๋ถ€์™€ ์ž…์ฐฐ๊ฐ€๊ฒฉ์„ ๊ฒฐ์ •ํ•˜๊ธฐ ์œ„ํ•ด ์•”ํ˜ธํ™”๋œ ์œ ์ € ๋ฐ์ดํ„ฐ(encrypted user data, ciphertext)๋ฅผ ์‚ฌ์šฉํ•œ๋‹ค. DSP๋Š” ์‚ฌ์ „์— ์‚ฌ์šฉ์ž์˜ ์ ์ˆ˜๋ฅผ ์—ฐ์‚ฐํ•˜๊ธฐ ์œ„ํ•œ function์„ ์ž‘์„ฑํ•˜๊ณ  ์ด๋ฅผ TTP์— ์ œ์ถœํ•˜์—ฌ function key๋ฅผ ํš๋“ํ•œ๋‹ค. ์ด function key๋ฅผ ์ด์šฉํ•ด ์•”ํ˜ธํ™”๋œ ์œ ์ € ๋ฐ์ดํ„ฐ๋ฅผ ํ•ด๋…(decrypt) ํ•˜๋ฉด DSP์˜ ๋‚ด๋ถ€ ์ž…์ฐฐ ์•Œ๊ณ ๋ฆฌ์ฆ˜์— ๋ฉ”ํŠธ๋ฆญ(metric)์œผ๋กœ ํ™œ์šฉํ•  ์ˆ˜ ์žˆ๋Š” user score๋ฅผ ์–ป๊ฒŒ ๋˜๊ณ  ์ด๋ฅผ ์ž…์ฐฐ ๊ฒฐ์ •์— ํ™œ์šฉํ•˜๊ฒŒ ๋œ๋‹ค. ๊ฒฐ๊ณผ์ ์œผ๋กœ RTB ํ™˜๊ฒฝ ๋‚ด์—์„œ ์‚ฌ์šฉ์ž์˜ ๊ฐœ์ธ์ •๋ณด๋Š” ๋ณดํ˜ธํ•˜๋ฉด์„œ DSP๋Š” ์‚ฌ์šฉ์ž์˜ ์ˆจ๊ฒจ์ง„ ์ •๋ณด๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ํƒ€๊นƒ ๊ด‘๊ณ  ์ž…์ฐฐ์— ์ฐธ์—ฌํ•  ์ˆ˜ ์žˆ๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ, FAdE ๋””์ž์ธ์˜ ์‹ค์ œ ํ™œ์šฉ ๊ฐ€๋Šฅ์„ฑ์— ๋Œ€ํ•œ ๋ถ„์„์„ ์ง„ํ–‰ํ•œ๋‹ค. user profile์€ ์ถฉ๋ถ„ํ•œ ๊ธธ์ด๋กœ ํ™•์ธ๋œ 2,000 ๊ธธ์ด์˜ 0๊ณผ 1๋กœ ์ด๋ฃจ์–ด์ง„ ๋ฒกํ„ฐ (bit vector) ํ˜•ํƒœ๋กœ ์ƒ์„ฑํ•œ๋‹ค. ์ด user profile vector๋ฅผ FE๋กœ ์•”ํ˜ธํ™”(encrypt)ํ•œ ํ›„, weight vector์— ํ•ด๋‹นํ•˜๋Š” ์ž„์˜์˜ function๊ณผ ๋ฒกํ„ฐ ๋‚ด์ (Inner product) ์—ฐ์‚ฐ์— ์†Œ์š”๋˜๋Š” ์‹œ๊ฐ„์„ ์ธก์ •ํ•˜์˜€์„ ๋•Œ, user score๋ฅผ ๋„์ถœํ•˜๋Š” ๋ฐ 20ms ๋ฏธ๋งŒ์ด ์†Œ์š”๋˜๋Š” ๊ฒƒ์„ ํ™•์ธํ•œ๋‹ค. ์ด๋Š” ๊ด‘๊ณ  ์—…๊ณ„์—์„œ ์ผ๋ฐ˜์ ์œผ๋กœ ์‚ฌ์šฉ๋˜๋Š” ์ž…์ฐฐ ์ œํ•œ ์‹œ๊ฐ„(100-1,000ms)์„ ๋ฐ”ํƒ•์œผ๋กœ ์ •์˜ํ•œ ๋ณธ ์—ฐ๊ตฌ์˜ ์ž์ฒด ๊ธฐ์ค€ 50ms ๋ณด๋‹ค ์ถฉ๋ถ„ํžˆ ์ž‘์€ ๊ฐ’์— ํ•ด๋‹นํ•œ๋‹ค. ์ด ๊ฒฐ๊ณผ๋Š” ๋™ํ˜• ์•”ํ˜ธํ™”(Homomorphic Encryption) ๋˜๋Š” Multi-Party Computation(MPC) ๋“ฑ์„ ์‚ฌ์šฉํ•˜๋Š” ์˜จ๋ผ์ธ ๊ด‘๊ณ ์—์„œ์˜ ๋‹ค๋ฅธ ๊ฐœ์ธ์ •๋ณด ๋ณดํ˜ธ ์ œ์•ˆ๋ณด๋‹ค ์„ฑ๋Šฅ ์ƒ์˜ ์ด์ ์„ ๊ฐ–๋Š”๋‹ค. ๋˜ํ•œ ์ œ์•ˆ ๋””์ž์ธ์„ ํ™œ์šฉํ•ด ํƒ€๊นƒ๊ด‘๊ณ ๊ฐ€ ์‹ค์ œ๋กœ ๊ฐ€๋Šฅํ•จ์„ ํ™•์ธํ•˜๊ธฐ ์œ„ํ•ด Publisher ์›น์‚ฌ์ดํŠธ, Ad Exchange(ADX), 3๊ฐœ์˜ DSP ๊ทธ๋ฆฌ๊ณ  TTP๋กœ ๊ตฌ์„ฑ๋œ ์ œ์•ˆ ๋””์ž์ธ์˜ ํ”„๋กœํ† ํƒ€์ž… ๊ตฌํ˜„์„ ์ œ์‹œํ•œ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ ์ œ์•ˆ๋œ FAdE๋ฅผ ํ†ตํ•ด ์‚ฌ์šฉ์ž์˜ ๊ฐœ์ธ ์ •๋ณด๋Š” ๋ณดํ˜ธํ•˜๋ฉด์„œ ๊ธฐ์กด๊ณผ ๊ฐ™์€ ์ˆ˜์ค€์˜ ํƒ€๊นƒ ๊ด‘๊ณ ๊ฐ€ ๊ฐ€๋Šฅํ•˜๊ณ , ์ด๋ฅผ ์ˆ˜์šฉ ๊ฐ€๋Šฅํ•œ ์ˆ˜์ค€์˜ ์ ์€ ์˜ค๋ฒ„ํ—ค๋“œ๋กœ ์ ์šฉ์ด ๊ฐ€๋Šฅํ•˜์˜€์Œ์„ ํ™•์ธํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ์˜ ๊ฒฐ๊ณผ๊ฐ€ ํ–ฅํ›„ ์‹ค์ œ ์˜จ๋ผ์ธ ๊ด‘๊ณ  ์ƒํƒœ๊ณ„์—์„œ ์‚ฌ์šฉ์ž์˜ ํ”„๋ผ์ด๋ฒ„์‹œ ๋ณดํ˜ธ์— ๊ธฐ์—ฌํ•  ์ˆ˜ ์žˆ์„ ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€ํ•œ๋‹ค.Chapter 1 Introduction 1 Chapter 2 Background 5 2.1 Online Advertising 5 2.1.1 RTB Ecosystem 6 2.1.2 OpenRTB 8 2.2 Functional Encryption 9 2.2.1 Overview of FE 10 2.2.2 Difference between FE and FHE 11 2.2.3 Information Leakage in Functional Encryption 12 2.2.4 Inner Product Functional Encryption (IPFE) 13 Chapter 3 Design 14 3.1 The approach to preserving privacy 15 3.1.1 Encrypted user profile using FE 15 3.2 Setup phase 18 3.2.1 TTP 18 3.2.2 User Browser 18 3.2.3 DSP 19 3.3 Bidding Phase 20 3.3.1 Browser (User) 21 3.3.2 DSP 21 Chapter 4 Evaluation 24 4.1 Criteria 24 4.1.1 Time 24 4.1.2 File size 25 4.2 Environment 26 4.2.1 Testbed 26 4.2.2 FE Library 26 4.3 Result 26 4.3.1 FAdE design 26 4.3.2 Extra test 30 4.4 Prototyping 33 Chapter 5 Related work 36 Chapter 6 Conculsion 40 Appendix A 48 A.1 Bid Request Sample (OpenRTB 2.5) 48 A.2 Functional Encryption Algorithm 50 ๊ตญ๋ฌธ์ดˆ๋ก 53์„

    Evaluation and Management of Difficult-to-Treat and Severe Asthma: An Expert Opinion From the Korean Academy of Asthma, Allergy and Clinical Immunology, the Working Group on Severe Asthma

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    Severe asthma (SA) presents in about 3%-5% of adult asthmatics and is responsible for over 60% of asthma-related medical expenses, posing a heavy socioeconomic burden. However, to date, a precise definition of or clear diagnostic criteria for SA have not been established, and therefore, it has been challenging for clinicians to diagnose and treat this disease. Currently, novel biologics targeting several molecules, such as immunoglobulin E, interleukin (IL)5, and IL4/IL13, have emerged, and many new drugs are under development. These have brought a paradigm shift in understanding the mechanism of SA and have also provided new treatment options. However, we need to agree on a precise definition of and its diagnostic criteria for SA. Additionally, it is necessary to explain the diagnostic criteria and to summarize current standard and additional treatment options. This review is an experts' opinion on SA from the Korean Academy of Asthma, Allergy, and Clinical Immunology, the Working Group on Severe Asthma, and aims to provide a definition of and diagnostic criteria for SA, and propose future direction for SA diagnosis and management in Korea.ope

    Characteristics of Adult Severe Refractory Asthma in Korea Analyzed From the Severe Asthma Registry

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    Purpose: Although mild to moderate asthma is much more common, the morbidity and mortality of severe asthma are much higher. This study was performed to identify and analyze the clinical characteristics of severe asthma in Korea. Methods: We registered patients with severe refractory asthma into the Severe Asthma Registry supported by the Severe Asthma Work Group of the Korean Academy of Asthma, Allergy and Clinical Immunology. Patients were enrolled since 2010 from the 15 university hospitals nationwide in Korea. Severe asthma was defined according to modified European Respiratory Society/American Thoracic Society criteria. Information on demographics, medical history, pulmonary function tests and skin prick tests was collected; the clinical characteristics of severe asthmatics were analyzed from the collected data. Results: A total of 489 patients were enrolled with a mean age of 62.3; 45% are male. Sixty percent of patients received Global Initiative for Asthma step 4 treatment, and 30% received step 5 treatment. The most common comorbidities were allergic rhinitis (58.7%). Aspirin hypersensitivity was observed in 14.0%. Approximately half (53.9%) are non-smokers. Atopy was proven in 38.5% of the patients. Regarding asthma medications, inhaled corticosteroids and long-acting ฮฒ-agonist combination inhalers were most commonly prescribed (96.5%), followed by leukotriene antagonists (71.0%). A recombinant anti-immunoglobulin E monoclonal antibody (omalizumab) has been used in 1.8% of the patients. The mean forced vital capacity (FVC), forced expiratory volume in 1 second (FEV1) and FEV1/FVC were 78.7%, 67.5% and 67.9% of predicted values, respectively. The mean Asthma Control Test and quality of life questionnaire scores were 16.5 out of 25 and 59.5 out of 85, respectively. Conclusions: The baseline characteristics of severe asthma patients in the Korea Severe Asthma Registry were analyzed and reported for the first time. With this cohort, further prospective studies should be performed to search for ways to improve management of severe refractory asthma.ope

    Impact of Chronic Urticaria on the Self-Assessed Health Status

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    Learning from Korean Smart City Programs

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ณตํ•™์ „๋ฌธ๋Œ€ํ•™์› ์‘์šฉ๊ณตํ•™๊ณผ, 2021. 2. ๊น€์„ฑ์šฐYoung Hoon Kwak๋ฐ•์ฐฝ์šฐ์ง€์„ํ˜ธ.South Korea has a long history of the planning, development, and management of smart cities to integrate emerging technological advances into complex physical infrastructure. However, a long-term successful smart city model has yet to be introduced. This study explores lessons learned from smart city programs in South Korea to better understand the challenges and opportunities of future sustainable smart city innovation and development. This research was guided by a research question: What are the essential characteristics of a successful sustainable smart city beyond technology adaptation and implementation? To define this research question, this research conducted a comprehensive review and qualitative analysis of South Koreas smart city programs and conceptualized a sustainable smart city framework that will assist policymakers, planners, citizens, and other key stakeholders. To do so, firstly, this research interweaves megaproject and smart city literature reviews. One of author's previous research discussed smart cities have similar characteristics to megaprojects [1]. Secondly, media articles collected to identify key factors during the execution of smart city programs. The key factors validated with multi-source evidence. Lastly, framework was developed by mean of comprehensive case analysis on Korea smart city programs and literature reviews. The findings of this research answer our research question. First, the Smart City Master Planner and Project Governance Board are key to the success of smart cities. Second, regulatory innovation can revolutionize smart city services. Third, it is critical to provide services that reflect the ideas and demands of citizens rather than to provide a service in a packaged form that often fails in action. This research proposed Governance, Policy, and Services (GPS) as the three pillars of a successful smart city framework, in addition to integrating physical and cyber infrastructures. The study argues that a smart city should function as a service platform that incubates and delivers long-term services to citizens and society. This study also emphasizes that a strong groundwork of the GPS framework will lead to the successful adaptation of innovative technologies and ideas for future smart city programs.๋ณธ ์—ฐ๊ตฌ๋Š” ์Šค๋งˆํŠธ์‹œํ‹ฐ ๊ฑด์„ค์˜ ์ฃผ์š” ์š”์†Œ๋ฅผ ํŒŒ์•…ํ•˜๊ธฐ ์œ„ํ•ด ๋‹ค์Œ์˜ ์—ฐ๊ตฌ์งˆ๋ฌธ์œผ๋กœ ์—ฐ๊ตฌ๋ฅผ ์‹œ์ž‘ํ•œ๋‹ค. ๊ธฐ์ˆ ์ ์šฉ๊ณผ ๊ตฌํ˜„์„ ๋„˜์–ด ์„ฑ๊ณต์ ์ด๊ณ  ์ง€์†๊ฐ€๋Šฅํ•œ ์Šค๋งˆํŠธ์‹œํ‹ฐ ๊ฑด์„ค์„ ์œ„ํ•œ ์ฃผ์š” ํŠน์„ฑ์€ ๋ฌด์—‡์ธ๊ฐ€? ์—ฐ๊ตฌ์งˆ๋ฌธ์„ ์ •์˜ํ•˜๊ธฐ ์œ„ํ•ด ํ•œ๊ตญ ์Šค๋งˆํŠธ์‹œํ‹ฐ ํ”„๋กœ๊ทธ๋žจ์— ๋Œ€ํ•œ ํฌ๊ด„์ ์ธ ๊ฒ€ํ†  ๋ฐ ์งˆ์ ์—ฐ๊ตฌ๋ฅผ ์ˆ˜ํ–‰ํ•˜์˜€์œผ๋ฉฐ, ํ™•์ธํ•œ ์ฃผ์š”ํŠน์„ฑ์„ ๋ฐ˜์˜ํ•˜์—ฌ ํ”„๋ ˆ์ž„์›Œํฌ๋ฅผ ์ œ์‹œํ•˜์˜€๋‹ค. ํ”„๋ ˆ์ž„์›Œํฌ๋ฅผ ์„ค๊ณ„ํ•˜๊ธฐ ์œ„ํ•ด ์ฒซ์งธ, ์Šค๋งˆํŠธ์‹œํ‹ฐ์™€ ๋ฉ”๊ฐ€ํ”„๋กœ์ ํŠธ ๊ด€๋ จ๋ฌธํ—Œ์„ ๊ฒ€ํ† ํ•˜์˜€๋‹ค. ์ €์ž์˜ ๊ณผ๊ฑฐ ์—ฐ๊ตฌ์—์„œ ์Šค๋งˆํŠธ์‹œํ‹ฐ์™€ ๋ฉ”๊ฐ€ํ”„๋กœ์ ํŠธ์— ์œ ์‚ฌํ•œ ํŠน์„ฑ์ด ์žˆ๋‹ค๋Š” ๊ฒƒ์„ ํ™•์ธํ–ˆ์œผ๋ฉฐ [1], ์ด ์—ฐ๊ตฌ์—์„œ๋„ ๋ฉ”๊ฐ€ํ”„๋กœ์ ํŠธ๊ด€๋ จ ๋ฌธํ—Œ์กฐ์‚ฌ๋ฅผ ํ™œ์šฉํ•˜์˜€๋‹ค. ๋‘˜์งธ, ํ•œ๊ตญ์˜ ์˜ค๋žœ ์Šค๋งˆํŠธ์‹œํ‹ฐ ํ”„๋กœ๊ทธ๋žจ ์‹คํ–‰ ๊ณผ์ •์—์„œ์˜ ํ•ต์‹ฌ ์ด์Šˆ๋ฅผ ํŒŒ์•…ํ•˜๊ธฐ ์œ„ํ•ด ๊ด€๋ จ๊ธฐ์‚ฌ๋ฅผ ์ˆ˜์ง‘ํ•˜์—ฌ ๋ถ„์„ํ•˜์˜€์œผ๋ฉฐ, ์—ฌ๊ธฐ์„œ ํ™•์ธํ•œ ์ฃผ์š” ์š”์†Œ๋ฅผ ๋‹ค์–‘ํ•œ ์†Œ์Šค์˜ ๋ฐ์ดํ„ฐ๋ฅผ ํ™œ์šฉํ•˜์—ฌ ๊ฒ€์ฆํ•˜์˜€๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ ํ•œ๊ตญ ์Šค๋งˆํŠธ์‹œํ‹ฐ ํ”„๋กœ๊ทธ๋žจ์˜ ์‚ฌ๋ก€๋ฅผ ์ข…ํ•ฉ์ ์œผ๋กœ ๋ถ„์„ํ•˜์—ฌ ํ”„๋ ˆ์ž„์›Œํฌ๋ฅผ ๊ฐœ๋ฐœํ•˜์˜€๋‹ค. ๊ฐœ๋ฐœํ•œ ํ”„๋ ˆ์ž„ ์›Œํฌ๋Š” ์ง€์†๊ฐ€๋Šฅํ•œ ์Šค๋งˆํŠธ์‹œํ‹ฐ ๊ฑด์„ค์„ ์œ„ํ•ด ์ •์ฑ… ๊ฒฐ์ •์ž, ๊ธฐํš์ž, ๊ธฐํƒ€ ์ฃผ์š” ์ดํ•ด ๊ด€๊ณ„์ž๊ฐ€ ํ™œ์šฉํ•  ์ˆ˜ ์žˆ๋‹ค. ์—ฐ๊ตฌ์งˆ๋ฌธ์— ๋Œ€ํ•œ ๊ฒฐ๊ณผ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์ฒซ์งธ, ๋‹ค์–‘ํ•œ ๊ธฐ์ˆ ๊ณผ ์ •๋ณด๋ฅผ ํ†ตํ•ฉ๊ด€๋ฆฌํ•˜๊ธฐ ์œ„ํ•ด์„œ ๋งˆ์Šคํ„ฐํ”Œ๋ž˜๋„ˆ์™€ ํ”„๋กœ์ ํŠธ ๊ฑฐ๋ฒ„๋„Œ์Šค์œ„์›ํšŒ๋ฅผ ์šด์˜ํ•ด์•ผ ํ•œ๋‹ค. ๋‘˜์งธ, ๊ทœ์ œ ํ˜์‹ ์€ ์Šค๋งˆํŠธ์‹œํ‹ฐ์— ํ˜์‹ ์ ์ธ ์„œ๋น„์Šค๋ฅผ ์ œ๊ณตํ•  ์ˆ˜ ์žˆ๊ฒŒ ํ•œ๋‹ค. ์…‹์งธ, ์ง€์†๊ฐ€๋Šฅํ•œ ์Šค๋งˆํŠธ์‹œํ‹ฐ ์„œ๋น„์Šค๋ฅผ ์œ„ํ•ด์„œ ์ผ๊ด„๋œ ์„œ๋น„์Šค๋ฅผ ์ œ๊ณตํ•˜๋Š” ๊ฒƒ๋ณด๋‹ค ๋„์‹œ์™€ ์‹œ๋ฏผ์˜ ์š”๊ตฌ๋ฅผ ๋ฐ˜์˜ํ•˜๊ณ  ์ˆ˜์ต์„ ์ฐฝ์ถœํ•  ์ˆ˜ ์žˆ๋Š” ์„œ๋น„์Šค๋ฅผ ์ œ๊ณตํ•˜๋Š” ๊ฒƒ์ด ์ค‘์š”ํ•˜๋‹ค. ์ด ์—ฐ๊ตฌ๊ฒฐ๊ณผ์— ๋Œ€ํ•œ ๋Œ€์•ˆ์œผ๋กœ ๋ฌผ๋ฆฌ์  ์ธํ”„๋ผ์™€ ์‹ ๊ธฐ์ˆ ์˜ ๋””์ง€ํ„ธ ์ธํ”„๋ผ๋ฅผ ํ†ตํ•ฉํ•˜๋Š” ๊ฒƒ ์™ธ์—๋„ ์„ฑ๊ณต์ ์ธ ์Šค๋งˆํŠธ ์‹œํ‹ฐ ๊ฑด์„ค์„ ์œ„ํ•œ ํ”„๋ ˆ์ž„ ์›Œํฌ์˜ ์„ธ ๊ฐ€์ง€ ์š”์†Œ๋กœ ๊ฑฐ๋ฒ„๋„Œ์Šค, ์ •์ฑ…, ์„œ๋น„์Šค(GPS)๋ฅผ ์ œ์•ˆํ–ˆ์œผ๋ฉฐ, ์ด๋ฅผ ํ†ตํ•ด ์Šค๋งˆํŠธ ์‹œํ‹ฐ๊ฐ€ ์‹œ๋ฏผ๊ณผ ์‚ฌํšŒ๋ฅผ ์œ„ํ•œ ์ƒˆ๋กœ์šด ์„œ๋น„์Šค๋ฅผ ์ œ๊ณตํ•˜๋Š” ์ธํ๋ฒ ์ดํŒ… ํ”Œ๋žซํผ์œผ์„œ ๊ธฐ๋Šฅํ•ด์•ผ ํ•œ๋‹ค๊ณ  ๋„์ถœํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ๊ฐ€ ์ง€์†๊ฐ€๋Šฅํ•˜๋ฉด์„œ๋„ ํ˜์‹ ์ ์ธ ์Šค๋งˆํŠธ์‹œํ‹ฐ ๊ฑด์„ค์˜ ๊ฑฐ์‹œ์  ๊ด€์ ๊ณผ ์ดํ•ด์— ๊ธฐ์—ฌํ•  ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€ํ•œ๋‹ค.I. Introduction 1 1.1 Background 1 1.2 Purpose of Research 4 1.3 Research Structure 5 II. Literature Review 6 2.1 Characteristics of Smart Cities 6 2.2 Characteristics of Megaprojects 13 2.3 Review of Smart City Frameworks 17 III. Research Methodology 19 3.1 Case Study Approach 19 3.2 Data Collection 21 IV. Three Generations of Koreas Smart City Program 23 4.1 Overview 23 4.2 First Generation (2009 โˆผ 2013) 29 4.3 Second Generation (2014 โˆผ 2018) 32 4.4 Third Generation (2019 โˆผ) 33 V. GPS (Governance, Policy, and Services) Smart City Framework 39 5.1 Introduction of the GPS Smart City Framework 39 5.2 Discussion on Smart City Governance 41 5.3 Discussion on Smart City Policy 45 5.4 Discussion on Smart City Services 48 VI. Conclusion 53 6.1 Summary and Conclusions 53 6.2 Limitation & Future Research Direction 56 6.3 The Future of Sustainable Smart Cities 57 Abstract 61 Bibliography 63Maste

    Laminin ฮฑ1 is a genetic modifier of TGF-ฮฒ1-stimulated pulmonary fibrosis

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    The pathogenetic mechanisms underlying the pathologic fibrosis in diseases such as idiopathic pulmonary fibrosis (IPF) are poorly understood. To identify genetic factors affecting susceptibility to IPF, we analyzed a murine genetic model of IPF in which a profibrotic cytokine (TGF-ฮฒ1) was expressed in the lungs of 10 different inbred mouse strains. Surprisingly, the extent of TGF-ฮฒ1-induced lung fibrosis was highly strain dependent. Haplotype-based computational genetic analysis and gene expression profiling of lung tissue obtained from fibrosis-susceptible and -resistant strains identified laminin ฮฑ1 (Lama1) as a genetic modifier for susceptibility to IPF. Subsequent studies demonstrated that Lama1 plays an important role in multiple processes that affect the pulmonary response to lung injury and susceptibility to fibrosis, which include: macrophage activation, fibroblast proliferation, myofibroblast transformation, and the production of extracellular matrix. Also, Lama1 mRNA expression was significantly increased in lung tissue obtained from IPF patients. These studies identify Lama1 as the genetic modifier of TGF-ฮฒ1 effector responses that significantly affects the development of pulmonary fibrosis.ope

    Biologic agents for asthma treatment

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    Most treatment strategies for asthma currently include inhaled corticosteroids, with the addition of long-acting beta-2-agonists or leukotriene modifiers, if necessary. However, some patients may not respond to conventional treatment. A better understanding of the pathophysiology of asthma has recently led to the development of biological agents, which have shown promising results for symptom control and future risk reduction in severe asthmatics. This article reviews currently available biologic agents, introduces related studies, and describes the subgroup of patients benefitting from each of biologic agents in the view point of precision medicine.ope

    Management of Allergic Patients During the COVID-19 Pandemic in Asia

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    Although a viral infection is a major triggering factor of asthma and allergic diseases, asthma is suggested to be not a predisposing condition for coronavirus disease 2019 (COVID-19) infection. However, patients with severe asthma/allergic disease requiring systemic corticosteroids or immunosuppressive agents may be at higher risk of more severe clinical course of this infectious disease. For allergic patients who have been followed up at an allergy clinic in our region, it is recommended that they (patients with asthma, rhinitis, atopic dermatitis or chronic urticaria) continue to receive maintenance therapy and be in a well-controlled status. Patients who have used biologics (currently available for targeting type 2 inflammation) and allergen immunotherapy should continue the treatment while minimizing hospital and face-to-face visits. It is essential to wear protective equipment for the protection of health care workers as well as patients. We report this consensus to support allergists and clinical immunologists to make optimal decisions under the urgent situation in Asia.ope
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