• Title/Summary/Keyword: Boston

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Electromyographic and Clinical Investigation of the Effect of Platelet-Rich Plasma on Peripheral Nerve Regeneration in Patients with Diabetes after Surgery for Carpal Tunnel Syndrome

  • Yasak, Tugce;Ozkaya, Ozay;Sahin, Ayca Ergan;Colak, Ozlem
    • Archives of Plastic Surgery
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    • v.49 no.2
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    • pp.200-206
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    • 2022
  • Background Carpal tunnel syndrome (CTS) is the most common entrapment neuropathy. Studies have shown that results of CTS surgery are poorer in patients with diabetes. In this study, the effect of platelet-rich plasma (PRP) on nerve regeneration was investigated through clinical and electromyographic findings in patients with diabetes who underwent CTS surgery. Methods A retrospective analysis of 20 patients with diabetes who had surgically decompressed CTS was conducted. Patients were divided into two groups. The study group received PRP treatment following surgery. The control group did not receive any treatment. Patients were assessed using electromyography and the Boston Carpal Tunnel Syndrome Questionnaire preoperatively as well as postoperatively at 3-month, 6-month, and 1-year follow-ups visits. Results There was a decrease in complaints and an improvement in sensory and motor examinations in both groups. The Boston Carpal Tunnel Syndrome Questionnaire scores did not show any statistically significant differences between the two groups. However, electromyographic findings showed that there were statistical differences between preoperative and postoperative (3 months, 6 months, and 1 year) results in both groups. When the two groups were compared using preoperative and postoperative (3 months, 6 months, and 1 year) electromyographic values, no statistically significant differences were seen. Conclusion Single injections of PRP did not have a significant impact on median nerve regeneration following CTS surgery in patients with diabetes. The effectiveness of multiple PRP injections can be investigated in patients with diabetes in future studies.

Towards a Machine Learning Approach for Monitoring Urban Morphology - Focused on a Boston Case Study - (도시 형태 변화 모니터링을 위한 머신러닝 기법의 가능성 - 보스톤 사례연구를 중심으로 -)

  • Hwang, Jie-Eun
    • Design Convergence Study
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    • v.16 no.5
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    • pp.125-140
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    • 2017
  • This study explores potential capability of a machine learning approach for monitoring urban morphology based on an evident case study. The case study conveys year 2006 investigations on interpreting urban morphology of Boston Main Streets by applying a machine learning approach. From the lesson of the precedent study, in 2016, another field research and interview was conducted to compare changes in urban situation, data commons culture, and technology innovation during the decade. This paper describes open possibilities to advance urban monitoring for morphological changes. Most of all, a multi-participatory data platform enables managing urban data system in real time. Second, collaboration with machines with artificial intelligence can intervene the framework of the urban management system as well as transform it through new demands of innovative industries. Recently, urban regeneration became a dominant urban planning strategy in Korean, therefore, urban monitoring is on demand. It is timely important to correspond to in-situ problems based on empirical research.

Prenatal Exposures to Environmental Chemicals and Children's Neurodevelopment: An Update

  • Bellinger, David C.
    • Safety and Health at Work
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    • v.4 no.1
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    • pp.1-11
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    • 2013
  • This review surveys the recent literature on the neurodevelopmental impacts of chemical exposures during pregnancy. The review focuses primarily on chemicals of recent concern, including phthalates, bisphenol-A, polybrominated diphenyl ethers, and perfluorinated compounds, but also addresses chemicals with longer histories of investigation, including air pollutants, lead, methylmercury, manganese, arsenic, and organophosphate pesticides. For some chemicals of more recent concern, the available literature does not yet afford strong conclusions about neurodevelopment toxicity. In such cases, points of disagreement among studies are identified and suggestions provided for approaches to resolution of the inconsistencies, including greater standardization of methods for expressing exposure and assessing outcomes.

A Self-Organizing Scheme for Swarm Systems

  • Kim, Dong-Hun;Kim, Hong-Pil
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.2475-2480
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    • 2003
  • A control system design based on coupled nonlinear oscillators (CNOs) for a self-organized swarm system is presented. In this scheme, agents self-organize to flock and arrange group formations through attractive and repulsive forces among themselves using CNOs. Virtual agents are also used to create richer group formation patterns. The objective of the swarm control in this paper is to follow a moving target with a final group formation in the shortest possible time despite some obstacles. The simulation results have shown that the proposed scheme can effectively construct a self-organized multi-agent swarm system capable of group formation and group immigration despite the emergence of obstacles.

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A study on the Convergence Condition of Chaotic Dynamic Neural Networks

  • Kim, Sang-Hee;Wang, Hua O.
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.7 no.4
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    • pp.242-248
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    • 2007
  • This paper analyzes on the chaos characteristics of the chaotic neural networks and presents the convergence condition. Although the transient chaos of neural network sould be beneficial to overcome the local minimum problem and speed up the learning, the permanent chaotic response gives adverse effect on optimization problems and makes neural network unstable in general. This paper investigates the dynamic characteristics of the chaotic neural networks with the chaotic dynamic neuron, and presents the convergence condition for stabilizing the chaotic neural networks.

A study on the Adaptive Controller with Chaotic Dynamic Neural Networks

  • Kim, Sang-Hee;Ahn, Hee-Wook;Wang, Hua O.
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.7 no.4
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    • pp.236-241
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    • 2007
  • This paper presents an adaptive controller using chaotic dynamic neural networks(CDNN) for nonlinear dynamic system. A new dynamic backpropagation learning method of the proposed chaotic dynamic neural networks is developed for efficient learning, and this learning method includes the convergence for improving the stability of chaotic neural networks. The proposed CDNN is applied to the system identification of chaotic system and the adaptive controller. The simulation results show good performances in the identification of Lorenz equation and the adaptive control of nonlinear system, since the CDNN has the fast learning characteristics and the robust adaptability to nonlinear dynamic system.

Changes of Lipid Content of Pork Portions Low Temperature Storage. (돈육의 저온 저장중 지질함량의 변화)

  • 오혁수;추광호
    • Culinary science and hospitality research
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    • v.3
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    • pp.259-270
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    • 1997
  • The experiment was carried out to investigate the change of pH, total lipid, neutral lipid and phospholipid of pork portions which are picnic shoulder, loin, ham, boston butt and bacon belly during storage at 4$^{\circ}C$ weeks. The results obtained were as follows, 1. pH of butt, ham, bacon, picnic and loin stored at 4$^{\circ}C$ for 2 days were 6.3, 5.9, 5.8, 5.6 and 5.2 respectively. And then pH of pork portions increased gradually during storage period. 2. Total lipid content of the pork portions were 2.13% in ham, 2.78% in loin 4.55% in picnic, 5.74% in butt and 7.11% in bacon. During storage period, total lipid content decreased slightly. 3. In case of neutral lipid, the content in bacon, butt, picnic, loin and ham were 6.68%, 5.32%, 4.22%, 2.53%, and 1.88% respectively. During storage period, neutral lipid content decreased slightly. 4. Phospholipid content showed little differences among the portions. And then phospholipid content decreased significantly during storage period.

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A Study on the Reduction Measures of Energy Demand and Environmental Pollutants on the Transport Sector in Korea (교통부분에 있어서 에너지 소비 및 환경오염물질 저감방안에 관한 연구)

  • Yoon, So Won;Jung, Tae Yong
    • Journal of Environmental Impact Assessment
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    • v.12 no.4
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    • pp.229-243
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    • 2003
  • 본 연구에서는 한국에서 도로 승용차로부터 배출되는 $CO_2$, 대기오염물질 및 에너지 소비에 대한 분석, 전망을 하였다. 도로 승용차 교통부분에서의 에너지 소비 및 $CO_2$와 환경오염물질의 추세는 자동차수와 년간주행거리, 평균 탑승자수, 연료 효율을 바탕으로 구하였다. 장래 에너지 소비와 배출, 시나리오 분석은 스톡홀름 환경연구소(SEI-B(Stockholm Environment Institute-Boston))에서 개발한 LEAP(Long Range Energy Alternative Planning System)을 이용하였다. 시나리오는 2005년부터 BaU(Business-as-Usual), CNG(Compressed Natural Gas) 버스의 도입, 경차 이용의 증가, 30$/TC와 300$/TC 탄소세 도입으로 정하였다. 1998년을 기준년도로 하고 2020년을 목표년도로 하여 시뮬레이션하였다. 분석결과 2020년까지의 전망 및 시나리오 분석을 통하여 도로자가용교통부분에서 에너지를 절감하고 $CO_2$ 및 대기오염물질을 저감하기 위하여 도입한 개별정책들을 통합하고 정책간 상승 효과를 볼 수 있도록 팩키지화시키는 것이 효과적이라고 분석되었다.

Virtual to Physical: Integration of Design Computing and Digital Fabrication in Architectural Pedagogy

  • Lee, Youngjin
    • Architectural research
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    • v.17 no.1
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    • pp.21-30
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    • 2015
  • This study examines the significance of digital fabrication of scaled physical models in the digital design process and highlights the integration of design computing and digital fabrication in architectural education. Advances in CAD/CAM technologies have increasingly influenced building design and construction practices by allowing the production of complex forms that were once difficult to design and construct using traditional technologies. At the advent of digital architecture, schools of architecture introduced digital technologies to their curriculum, focusing more on design computing than digital fabrication, preventing students from completely mastering digital technologies. The significance of digital fabrication for scaled physical models as a design media within the digital design loop is discussed. Two case studies of leading schools of architecture that are successful in building the bridge between both areas are given. These focus on the curricular structure to integrate both areas within design studios. Finally, a curricular structure offering students a balanced approach to these areas of knowledge is proposed based on what was learned from these case studies.

The effect of vehicle velocity and drift angle on through-body AUV tunnel thruster performance

  • Saunders, Aaron;Nahon, Meyer
    • Ocean Systems Engineering
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    • v.1 no.4
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    • pp.297-315
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    • 2011
  • New applications of streamlined Autonomous Underwater Vehicles require an AUV capable of completing missions with both high-speed straight-line runs and slow maneuvers or station keeping tasks. At low, or zero, forward speeds, the AUV's control surfaces become ineffective. To improve an AUV's low speed maneuverability, while maintaining a low drag profile, through-body tunnel thrusters have become a popular addition to modern AUV systems. The effect of forward vehicle motion and sideslip on these types of thrusters is not well understood. In order to characterize these effects and to adapt existing tunnel thruster models to include them, an experimental system was constructed. This system includes a transverse tunnel thruster mounted in a streamlined AUV. A 6-axis load cell mounted internally was used to measure the thrust directly. The AUV was mounted in Memorial University of Newfoundland's tow tank, and several tests were run to characterize the effect of vehicle motion on the transient and steady state thruster performance. Finally, a thruster model was modified to include these effects.