• 제목/요약/키워드: Los Angeles

검색결과 283건 처리시간 0.039초

공공도서관의 외부인적자원 활용에 관한 연구 - 특히 미국 LA 및 인근지역 공공도서관의 사례를 중심으로 - (A Study on the Support Groups for Public Libraries: With a Special Regard to the Cases of the Los Angeles City Areas)

  • 오동근
    • 한국도서관정보학회지
    • /
    • 제39권1호
    • /
    • pp.73-97
    • /
    • 2008
  • 이 연구에서는 공공도서관의 외부인적자원의 활용사례와 관련하여, 미국 LA 지역의 공공도서관들을 중심으로 '도서관의 친구들'과 자원봉사자, 도서관재단의 실제 활용 및 활동사례를 현장방문결과와 각종자료 및 홈페이지 등을 통해 분석하였다. 특히 연구자가 직접 방문하여 관계자들을 면담하고 자료를 입수한 Los Angeles공공도서관과 그 중앙도서관 및 분관, La Crescenta공공도서관, Glendale공공도서관의 '도서관의 친구들'과 자원봉사자, Library Foundation of Los Angeles 등을 중점적으로 분석하고, 한국도서관에서의 활용방안을 제안하였다.

  • PDF

Evaluation and treatment of facial feminization surgery: part II. lips, midface, mandible, chin, and laryngeal prominence

  • Dang, Brian N.;Hu, Allison C.;Bertrand, Anthony A.;Chan, Candace H.;Jain, Nirbhay S.;Pfaff, Miles J.;Lee, James C.;Lee, Justine C.
    • Archives of Plastic Surgery
    • /
    • 제49권1호
    • /
    • pp.5-11
    • /
    • 2022
  • Facial feminization surgery (FFS) refers to a set of procedures aimed at altering the features of a masculine face to achieve a more feminine appearance. In the second part of this two-part series, assessment and operations involving the midface, mandible, and chin, as well as soft tissue modification of the nasolabial complex and chondrolaryngoplasty, are discussed. Finally, we provide a review of the literature on patient-reported outcomes in this population following FFS and suggest a path forward to optimize care for FFS patients.

Low Hydroxyl Erbium-Doped and Undoped Gels

  • Yuh, Soon-Ku;Park, Sung-Soon;John D. Mackenzie
    • The Korean Journal of Ceramics
    • /
    • 제1권3호
    • /
    • pp.152-154
    • /
    • 1995
  • A non-hydrolytic sol-gel process was developed to fabricate low-hydroxyl hard gels. The reaction of tert-butyl alcohol with silicon halides provided transparent low-hydroxyl hard gels. Some properties such as transparency, density, and refractive index was successfully doped into the hard gel matrices. The absorption spectrum of an erbium-doped methylsilsesquioxane was investigated to decide the pumping wavelength of an argon laser. The luminescence of the erbium-doped gel at 664 nm seems to be due to $4^F{9/2}\to 4^I_{15/2}$ transition.

  • PDF

The 14-3-3 Gene Function of Cryptococcus neoformans Is Required for its Growth and Virulence

  • Li, Jingbo;Chang, Yun C.;Wu, Chun-Hua;Liu, Jennifer;Kwon-Chung, Kyung J.;Huang, Sheng-He;Shimada, Hiro;Fante, Rob;Fu, Xiaowei;Jong, Ambrose
    • Journal of Microbiology and Biotechnology
    • /
    • 제26권5호
    • /
    • pp.918-927
    • /
    • 2016
  • Cryptococcus neoformans is a life-threatening pathogenic yeast that causes devastating meningoencephalitis. The mechanism of cryptococcal brain invasion is largely unknown, and recent studies suggest that its extracellular microvesicles may be involved in the invasion process. The 14-3-3 protein is abundant in the extracellular microvesicles of C. neoformans, and the 14-3-3-GFP fusion has been used as the microvesicle's marker. However, the physiological role of 14-3-3 has not been explored. In this report, we have found that C. neoformans contains a single 14-3-3 gene that apparently is an essential gene. To explore the functions of 14-3-3, we substituted the promoter region of the 14-3-3 with the copper-controllable promoter CTR4. The CTR4 regulatory strain showed an enlarged cell size, drastic changes in morphology, and a decrease in the thickness of the capsule under copper-enriched conditions. Furthermore, the mutant cells produced a lower amount of total proteins in their extracellular microvesicles and reduced adhesion to human brain microvascular endothelial cells in vitro. Proteomic analyses of the protein components under 14-3-3-overexpressed and -suppressed conditions revealed that the 14-3-3 function(s) might be associated with the microvesicle biogenesis. Our results support that 14-3-3 has diverse pertinent roles in both physiology and pathogenesis in C. neoformans. Its gene functions are closely relevant to the pathogenesis of this fungus.

Evaluation and treatment of facial feminization surgery: part I. forehead, orbits, eyebrows, eyes, and nose

  • Dang, Brian N.;Hu, Allison C.;Bertrand, Anthony A.;Chan, Candace H.;Jain, Nirbhay S.;Pfaff, Miles J.;Lee, James C.;Lee, Justine C.
    • Archives of Plastic Surgery
    • /
    • 제48권5호
    • /
    • pp.503-510
    • /
    • 2021
  • Facial feminization surgery (FFS) incorporates aesthetic and craniofacial surgical principles and techniques to feminize masculine facial features and facilitate gender transitioning. A detailed understanding of the defining male and female facial characteristics is essential for success. In this first part of a two-part series, we discuss key aspects of the general preoperative consultation that should be considered when evaluating the prospective facial feminization patient. Assessment of the forehead, orbits, hairline, eyebrows, eyes, and nose and the associated procedures, including scalp advancement, supraorbital rim reduction, setback of the anterior table of the frontal sinus, rhinoplasty, and soft tissue modifications of the upper and midface are discussed. In the second part of this series, bony manipulation of the midface, mandible, and chin, as well as soft tissue modification of the nasolabial complex and chondrolaryngoplasty are discussed. Finally, a review of the literature on patient-reported outcomes in this population following FFS is provided.

Gender Affirming Surgery in Nonbinary Patients: A Single Institutional Experience

  • Allison C. Hu;Mengyuan T. Liu;Candace H. Chan;Saloni Gupta;Brian N. Dang;Gladys Y. Ng;Mark S. Litwin;George H. Rudkin;Amy K. Weimer;Justine C. Lee
    • Archives of Plastic Surgery
    • /
    • 제50권1호
    • /
    • pp.63-69
    • /
    • 2023
  • Background An increasing number of nonbinary patients are receiving gender-affirming procedures due to improved access to care. However, the preferred treatments for nonbinary patients are underdescribed. The purpose of this study was to investigate the goals and treatments of nonbinary patients. Methods A retrospective study of patients who self-identified as nonbinary from our institutional Gender Health Program was conducted. Patient demographics, clinical characteristics, surgical goals, and operative variables were analyzed. Results Of the 375 patients with gender dysphoria, 67 (18%) were nonbinary. Over half of the nonbinary patients were assigned male at birth (n = 57, 85%) and nearly half preferred the gender pronoun they/them/theirs (n = 33, 49%). A total of 44 patients (66%) received hormone therapy for an average of 2.5±3.6 years, primarily estrogen (n = 39). Most patients (n = 46, 69%) received or are interested in gender-affirming surgery, of which, almost half were previously on hormone therapy (n = 32, 48%). The most common surgeries completed or desired were facial feminization surgery (n = 15, 22%), vaginoplasty (n = 15, 22%), mastectomy (n = 11, 16%), and orchiectomy (n = 9, 13%). Nonbinary patients who were assigned male at birth (NB-AMAB) were more often treated with hormones compared to nonbinary patients assigned female at birth (NB-AFAB) (72% vs. 30%, p = 0.010). Conversely, patients who were AFAB weremore likely to complete or desire surgical intervention than those who were AMAB (100% vs. 63.0%, p < 0.021). Conclusion Majority of nonbinary patients were assigned male at birth. NB-AFAB patients all underwent surgical treatment, whereas NB-AMAB patients were predominantly treated with hormone therapy.

Big Data Analysis and Prediction of Traffic in Los Angeles

  • Dauletbak, Dalyapraz;Woo, Jongwook
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • 제14권2호
    • /
    • pp.841-854
    • /
    • 2020
  • The paper explains the method to process, analyze and predict traffic patterns in Los Angeles county using Big Data and Machine Learning. The dataset is used from a popular navigating platform in the USA, which tracks information on the road using connected users' devices and also collects reports shared by the users through the app. The dataset mainly consists of information about traffic jams and traffic incidents reported by users, such as road closure, hazards, accidents. The major contribution of this paper is to give a clear view of how the large-scale road traffic data can be stored and processed using the Big Data system - Hadoop and its ecosystem (Hive). In addition, analysis is explained with the help of visuals using Business Intelligence and prediction with classification machine learning model on the sampled traffic data is presented using Azure ML. The process of modeling, as well as results, are interpreted using metrics: accuracy, precision and recall.