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Junhyeok Jeon,Hyun Uk Kim 한국미생물학회 2020 The journal of microbiology Vol.58 No.3
Computational analysis of biological data is becoming increasingly important, especially in this era of big data. Computational analysis of biological data allows efficiently deriving biological insights for given data, and sometimes even counterintuitive ones that may challenge the existing knowledge. Among experimental researchers without any prior exposure to computer programming, computational analysis of biological data has often been considered to be a task reserved for computational biologists. However, thanks to the increasing availability of user-friendly computational resources, experimental researchers can now easily access computational resources, including a scientific computing environment and packages necessary for data analysis. In this regard, we here describe the process of accessing Jupyter Notebook, the most popular Python coding environment, to conduct computational biology. Python is currently a mainstream programming language for biology and biotechnology. In particular, Anaconda and Google Colaboratory are introduced as two representative options to easily launch Jupyter Notebook. Finally, a Python package COBRApy is demonstrated as an example to simulate 1) specific growth rate of Escherichia coli as well as compounds consumed or generated under a minimal medium with glucose as a sole carbon source, and 2) theoretical production yield of succinic acid, an industrially important chemical, using E. coli. This protocol should serve as a guide for further extended computational analyses of biological data for experimental researchers without computational background.
Junhyeok Yong(용준혁),Junggyun Ham(함정균),Honghyun Cho(조홍현) 대한기계학회 2021 대한기계학회 춘추학술대회 Vol.2021 No.6
This study was conducted to evaluate the performance of a brazing type plate heat exchanger according to the working fluid (H₂O and LiBr solution). The hot side fluid was H₂O-LiBr solution maintained at 80 °C, and the mass flow rate of the fluid was varied between 200 ~ 700 kg/h. On the other hand, the cold side was H2O maintained at 40 °C, and the mass flow rate of the fluid was maintained at 300 kg/h. As the mass flow rate of H₂O on the hot side changed from 200 to 700 kg/h with an interval of 100 kg/h, the overall heat transfer coefficient increased to 1.37, 1.64, 1.8, 1.87, 1.97, and 2.03 kW/㎡·K respectively. Compared to the lowest mass flow rate of 200 kg/h, the overall heat transfer coefficient of 700 kg/h was improved by 147.5%. On the other hand, the total heat transfer coefficient of LiBr solution in the entire flow range was lower than that of H₂O. As the mass flow rate increased from 200 to 700 kg/h with an interval of 100 kg/h, the total heat transfer coefficients of the LiBr solution increased to 0.76, 0.93, 1.05, 1.17, 1.3, and 1.44 kW/㎡·K respectively. Since the specific heat of water is more than twice that of LiBr solution, the average heat transfer rate of H2O/H2O is higher than that of LiBr solution/H₂O. Since the average heat transfer rate and the overall heat transfer coefficient are proportional, the overall heat transfer coefficient of H₂O/H₂O showed a higher value. It is concluded that the heat transfer performance was different due to the thermal properties of the working fluid on the hot side. [그림 본문 참조]
Lexical Planning in L2 Sentence Production: Evidence from ERPs
( Junhyeok Kwon ),( Hee Jun Lee ),( Jeong-ah Shin ),( Wonil Chung ),( Myung-kwan Park ),( Cheolsoo Park ) 서울대학교 인지과학연구소 2017 Journal of Cognitive Science Vol.18 No.4
This study examined the scope of lexical planning in second language (L2) production using the semantic blocking effect and its associated patterns of ERPs. The semantic blocking effects―as measured by longer response times in picture naming tasks and often interpreted as a reflection of difficulty in lexical access―have been observed when all objects of a set belong to an identical semantic category than diverse categories. Two experiments were conducted to observe patterns of ERPs associated with the semantic blocking effects (i.e., semantic context effects) by using two types of subject nounphrases that include two nouns, a head noun modified by a prepositional phrase (PP) (e.g., the dog above the flower is red) and a conjoined noun phrase (CNP) (e.g., the dog and the flower are both red). The first noun (homogeneous vs. heterogeneous) in the set of pictures was manipulated in Experiment 1, and the second noun in Experiment 2. The ERP results showed that semantic blocking effects were observed in both experiments, in contrast to previous findings for native speaker production, providing no evidence for incremental planning in L2 sentence production. Instead, different ERP patterns were found for the subject NP type (PP vs. CNP) in both experiments, showing that the lexical planning scope in L2 sentence production might vary according to functional phrases―i.e., the relation between two NPs composing the subject noun-phrases.
( Junhyeok Kim ),( Min Kyoung Kim ),( Geun Joo Choi ),( Hwa Yong Shin ),( Beom Gyu Kim ),( Hyun Kang ) 대한통증학회 2021 The Korean Journal of Pain Vol.34 No.4
Background: Postherpetic neuralgia (PHN) is a refractory complication of herpes zoster (HZ). To prevent PHN, various strategies have been aggressively adopted. However, the efficacy of these strategies remains controversial. Therefore, we aimed to estimate the relative efficacy of various strategies used in clinical practice for preventing PHN using a network meta-analysis (NMA). Methods: We performed a systematic and comprehensive search to identify all randomized controlled trials. The primary outcome was the incidence of PHN at 3 months after acute HZ. We performed both frequentist and Bayesian NMA and used the surface under the cumulative ranking curve (SUCRA) values to rank the interventions evaluated. Results: In total, 39 studies were included in the systematic review and NMA. According to the SUCRA value, the incidence of PHN was lower in the order of continuous epidural block with local anesthetics and steroids (EPI-LSE), antiviral agents with subcutaneous injection of local anesthetics and steroids (AV + sLS), antiviral agents with intracutaenous injection of local anesthetics and steroids (AV + iLS) at 3 months after acute HZ. EPI-LSE, AV + sLS and AV + iLS were also effective in preventing PHN at 1 month after acute HZ. And paravertebral block combined with antiviral and antiepileptic agents was effective in preventing PHN at 1, 3, and 6 months. Conclusions: The continuous epidural block with local anesthetics and steroid, antiviral agents with intracutaneous or subcutaneous injection of local anesthetics and a steroid, and paravertebral block combined with antiviral and antiepileptic agents are effective in preventing PHN.
Junhyeok Go,Hojung An 국제물리치료연구학회 2021 Journal of International Academy of Physical Ther Vol.12 No.3
Background: Patients with stroke may show impaired balance due to the limited range of motion of the ankle resulting from abnormal soft tissues surrounding the ankle joint. Changes in the viscoelasticity of soft tissues and decreased mobility of the ankle impair the balance and lead to problems in the daily life of patients with stroke. Joint mobilization and stretching are effective methods of improving balance by increasing the viscoelasticity of soft tissues and range of motion of the ankle. Objectives: To effects of ankle joint mobilization and calf muscle stretching on balance in patients with stroke. Design: A randomized controlled trial. Methods: A total of 20 patients with stroke were randomly assigned into two groups. The joint mobilization group (JMG) underwent anteroposterior joint mobilization of the talocrural joint, while the stretching group (SG) received calf muscle stretching. Functional reach test (FRT), berg balance scale (BBS), and timed up and go test (TUG) were used to assess balance. Results: The FRT, BBS, and TUG results significantly improved in the JMG and SG after invention (P<.05). However, the improvements were greater in the JMG group than those in the SG group (P<.05). Conclusion: Joint mobilization was an effective intervention to improve soft tissue performance and range of motion of the ankle, thereby improving balance in patients with stroke.
UWB/GPS Sensor Fusion Using Kalman Filter for Outdoor Autonomous Robot
Junhyeok Shin,Hoeryoung Jung 제어로봇시스템학회 2022 제어로봇시스템학회 국제학술대회 논문집 Vol.2022 No.11
Outdoor autonomous robots generally use GPS sensors for position measurement. GPS sensors have poor positioning accuracy in complex environments (etc. tunnels, forests, and dense building areas). In this work, UWB/GPS fusion is performed using the Kalman filter-based sensor fusion method. Using Gazebo simulations, GPS and the proposed method were compared. The proposed method showed improved positional accuracy over the use of single-step GPS