Limulus Amoebocyte Lysate법에 의한 원유와 살균유의 세균수 측정

姜國熙,王智怨,朴興洙,李圭鍾,金敬民 成均館大學校 科學技術硏究所 1993 論文集 Vol.44 No.2

LAL method for the determination of Gram-negative bacterial Lipopolysaccharides(LPS) in milk is proposed and its value for bacteriological quality control is investigated. The relationship between the LPS contents and total colony count(cfu/ml), which covers the Gram-negative bacteria, was determined in raw milk samples. The coefficient of correlation between Gram-negative bacterial counts(cfu/ml) and LPS contents was r^2 =0.969. And, the correlation coefficient between total bacterial counts(cfu/ml) and LPS contents was r^2 =0. 914. It was also investigated how much the LPS contents were in UHT milks from l0 different dairy industrial companies in Korea. It varied from 92 ng LPS/ml to 938 ng LPS /ml.

공단지역 및 청정지역 식물 잎권의 잎표면세균 및 내산성세균의 분포

안종훈,방숙진,한남정,송왕영,황소영,이인수,박성주 대전대학교 이과대학 기초과학연구소 1997 自然科學 Vol.- No.-

산성강하물의 영향을 받는 대천공단지역과 영향을 받지 않는 청정지역인 대전 계족산 자연휴양림에서 자라는 밤나무(Castanea crenat)의 잎표면에서 서식하는 총세균수, 생존세균수, 종속영양세균수, 내산성세균수를 1996년 8월부터 1997년 8월까지 5회에 걸쳐 조사하였다. 공단지역 잎표면 평균 총세균수, 생존세균수 및 종속영양세균수는 각각 9.9×10^(5) cell/㎠, 1.6×10⁴cell/㎠, 7.1×10³cell/㎠,로서 청정지역에 비하여 각각 1.5배, 2배, 2.6배 정도로 관찰되었다. MPN법으로 측정한 pH 5.6애서의 잎표면 내산성세를수는 공단지역 3.3×10⁴, 청정지역 3.4×10⁴MON/㎠로 거의 같았고, pH 4.0에서의 내산성세균수는 공단지역애서 1.9×10^-(-1)MPN/㎠인 반면 청정지역에서는 전혀 검출되지 않았다. pH 3.0에서의 내산성 잎표면세균수는 공단지역과 청정지역의 잎권 어느 곳에서도 검출되지 않았다. 한편 계절별 잎표면세균수의 분포는 대체로 잎이 나기 시작하여 크기가 가장 작은 5월에 최대를, 그리고 낙엽이 지는 11월에 최소를 나타내었다. 이런 결과는 공단지역의 대기오염물질의 침적이 주변의 식물 잎표면 세균수를 감소시키지는 않으며, 특히 산성강하물의 영향으로 내산성세균수가 증가함을 보여주고 있다. Total, direct viable count, and acid-tolerant epiphytic bacterial population sizes were quantified on leaves of chestnut tree (Castanea crenata S. et Z.) near Taejon Industrial Estate affected by acid precipitation and deposition as well as in the clean natural forest area, Mt. Kyejok, in Taejon city from August 1996 to August 1997. Geometric mean numbers of total, direct viable count, and acid-tolerant epiphytic bacteria were 9.9×10^(5) cell/㎠, 1.6×10^(6)cell/㎠, and 7.1×10³cfu/㎠ respecfvely, being 1.5, 2, and 2.6 times those in the clean area. Acid-to-lerant epiphytic bfcterial numbers at pH 5.6 by MPN method were 3.3×10" in the industrial area, about the same as the number,3.4×104 MPNicni, of the clean area. Acid-tolerant bacterial number at pH 4.0 was 1.9×10^(-1)MPN/㎠ in the industrial area, whereas none was detected in the clean area. Acid-tolerant bacteria at pH 3.0 were not detected at all in the industrial area as well as in the clean area. Epiphytic bacterial population sizes were generally the greatest in May when leaves are emerged and grew but the lowest in November when defoliation occurs. These results showed that air pollutant deposition on leaves did not cause a deuease of epiphytic bacteria at least and acid deposition on leaves did cause an increase of acid-tolerant bacteria.

An Autonomous Driving Approach Based on Trajectory Learning Using Deep Neural Networks

Wang Dan,Wang Canye,Wang Yulong,Wang Hang,Pei Feng 한국자동차공학회 2021 International journal of automotive technology Vol.22 No.6

Autonomous driving approaches today are mainly based on perception-planning-action modular pipelines and the End2End paradigm respectively. The End2End paradigm is a strategy that directly maps raw sensor data to vehicle control actions. This strategy is very promising and appealing because complex module design and cumbersome data labeling are avoided. Since this approach lacks a degree of interpretability, safety and practicability. we propose an autonomous driving approach based on trajectory learning using deep neural networks in this paper. In comparison to End2End algorithm, it is found that the trajectory learning algorithm performs better in autonomous driving. As for trajectory learning algorithm, the CNN_Raw-RNN network structure is established, which is verified to be more effective than the original CNN_LSTM network structure. Besides, we propose an autonomous driving architecture of a pilot and copilot combination. The pilot is responsible for trajectory prediction via imitation learning with labeled driving trajectories, while the copilot is a safety module that is employed to verify the effectiveness of the vehicle trajectory by the results of the semantic segmentation auxiliary task. The proposed autonomous driving architecture is verified with a real car on urban roads without manual intervention within 40 km.

Prognostic Role of Hepatoma-derived Growth Factor in Solid Tumors of Eastern Asia: a Systematic Review and Meta-Analysis

Bao, Ci-Hang,Liu, Kun,Wang, Xin-Tong,Ma, Wei,Wang, Jian-Bo,Wang, Cong,Jia, Yi-Bin,Wang, Na-Na,Tan, Bing-Xu,Song, Qing-Xu,Cheng, Yu-Feng Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.5

Hepatoma-derived growth factor (HDGF) is a novel jack-of-all-trades in cancer. Here we quantify the prognostic impact of this biomarker and assess how consistent is its expression in solid tumors. A comprehensive search strategy was used to search relevant literature updated on October 3, 2014 in PubMed, EMBASE and WEB of Science. Correlations between HDGF expression and clinicopathological features or cancer prognosis was analyzed. All pooled HRs or ORs were derived from random-effects models. Twenty-six studies, primarily in Eastern Asia, covering 2,803 patients were included in the analysis, all of them published during the past decade. We found that HDGF overexpression was significantly associated with overall survival (OS) ($HR_{OS}=2.35$, 95%CI=2.04-2.71, p<0.001) and disease free survival (DFS) ($HR_{DFS}=2.25$, 95%CI =1.81-2.79, p<0.001) in solid tumors, especially in non-small cell lung cancer, hepatocellular carcinoma and cholangiocarcinoma (CCA). Moreover, multivariate survival analysis showed that HDGF overexpression was an independent predictor of poor prognosis ($HR_{OS}=2.41$, 95%CI: 2.02-2.81, p<0.001; $HR_{DFS}=2.39$, 95%CI: 1.77-3.24, p<0.001). In addition, HDGF overexpression was significantly associated with tumor category (T3-4 versus T1-2, OR=2.12, 95%CI: 1.17-3.83, p=0.013) and lymph node status (N+ versus N-, OR=2.37, 95%CI: 1.31-4.29, p=0.03) in CCA. This study provides a comprehensive examination of the literature available on the association of HDGF overexpression with OS, DFS and some clinicopathological features in solid tumors. Meta-analysis results provide evidence that HDGF may be a new indicator of poor cancer prognosis. Considering the limitations of the eligible studies, other large-scale prospective trials must be conducted to clarify the prognostic value of HDGF in predicting cancer survival.

Market in Medical Devices of Blockchain-Based IoT and Recent Cyberattacks

Shih-Shuan WANG(Shih-Shuan WANG),Hung-Pu (Hong-fu) CHOU(Hung-Pu (Hong-fu) CHOU),Aleksander IŻEMSKI(Aleksander IŻEMSKI ),Alexandru DINU(Alexandru DINU ),Eugen-Silviu VRĂJITORU(Eugen-Silviu VRĂJITORU ) 한국인공지능학회 2023 인공지능연구 (KJAI) Vol.11 No.2

The creativity of thesis is that the significance of cyber security challenges in blockchain. The variety of enterprises, including those in the medical market, are the targets of cyberattacks. Hospitals and clinics are only two examples of medical facilities that are easy targets for cybercriminals, along with IoT-based medical devices like pacemakers. Cyberattacks in the medical field not only put patients' lives in danger but also have the potential to expose private and sensitive information. Reviewing and looking at the present and historical flaws and vulnerabilities in the blockchain-based IoT and medical institutions' equipment is crucial as they are sensitive, relevant, and of a medical character. This study aims to investigate recent and current weaknesses in medical equipment, of blockchain-based IoT, and institutions. Medical security systems are becoming increasingly crucial in blockchain-based IoT medical devices and digital adoption more broadly. It is gaining importance as a standalone medical device. Currently the use of software in medical market is growing exponentially and many countries have already set guidelines for quality control. The achievements of the thesis are medical equipment of blockchain-based IoT no longer exist in a vacuum, thanks to technical improvements and the emergence of electronic health records (EHRs). Increased EHR use among providers, as well as the demand for integration and connection technologies to improve clinical workflow, patient care solutions, and overall hospital operations, will fuel significant growth in the blockchain-based IoT market for linked medical devices. The need for blockchain technology and IoT-based medical device to enhance their health IT infrastructure and design and development techniques will only get louder in the future. Blockchain technology will be essential in the future of cybersecurity, because blockchain technology can be significantly improved with the cybersecurity adoption of IoT devices, i.e., via remote monitoring, reducing waiting time for emergency rooms, track assets, etc. This paper sheds the light on the benefits of the blockchain-based IoT market.

The Effect of Agomelatine in Behavioral and Psychological Symptoms of Dementia

Carol Sheei-Meei Wang(Carol Sheei-Meei Wang ),Kuo-Sheng Cheng(Kuo-Sheng Cheng),Chia-Hung Tang(Chia-Hung Tang),Ming-Chyi Pai(Ming-Chyi Pai),Pai-Lien Chen(Pai-Lien Chen),Pei-Fang Chien(Pei-Fang Chien) 대한정신약물학회 2022 CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE Vol.20 No.4

Objective: Moderate and severe behavioral and psychological symptoms of dementia (BPSD) often need medical treatment to improve symptoms. Agomelatine is a selective melatonergic (MT1/MT2) agonist that has normalizing effects on disturbed circadian rhythms and disrupted sleep−wake cycles. Its activity of 5HT-2C receptor antagonism is associated with lessening depression and anxiety and increasing slow-wave sleep. Based on past clinical records and current findings it suggests that agomelatine can improve BPSD for patients. This retrospective cohort study was designed to compare the BPSD before and after using agomelatine. Methods: Records of dementia cases who had ever received agomelatine treatment for BPSD in a general hospital setting during the past 2.5 years were identified and reviewed. Scores from before and after 3 months of treatment with agomelatine were collected for Neuropsychiatric Inventory (NPI), Brief Psychiatric Rating Scale (BPRS), and Clinical Global Impression (CGI) to compare and analyze the difference of psychological and behavioral symptoms pre- and post-agomelatine used. Results: Records of 144 cases of dementia with BPSD who had ever used agomelatine from January 2015 to June 2017 were collected. All of the 112 cases had BPRS and CGI scores, of which 75 cases had additional NPI scores. Among these 112 cases, the BPRS and CGI scores were significantly improved in all types of dementia. NPI scores indicated that the use of agomelatine alleviated obvious symptoms and decreased overall distress, especially in the depression/poor mood, anxiety, and sleep/night behavior. Conclusion: It is consistent with an effective result of agomelatine in improving BPSD.

Novel Turbo Receiver for MU-MIMO SC-FDMA System

Hung-Sheng Wang,Fang-Biau Ueng,Yu-Kuan Chang 한국전자통신연구원 2018 ETRI Journal Vol.40 No.3

Single carrier‐frequency‐division multiple access (SC‐FDMA) has been adopted as the uplink transmission standard in fourth‐generation cellular networks to facilitate power efficiency transmission in mobile stations. Because multiuser multiple‐input multiple‐output (MU‐MIMO) is a promising technology employed to fully exploit the channel capacity in mobile radio networks, this study investigates the uplink transmission of MU‐MIMO SC‐FDMA systems with orthogonal space‐frequency block codes (SFBCs). It is preferable to minimize the length of the cyclic prefix (CP). In this study, the chained turbo equalization technique with chained turbo estimation is employed in the designed receiver. Chained turbo estimation employs a short training sequence to improve the spectrum efficiency without compromising the estimation accuracy. In this paper, we propose a novel and spectrally efficient iterative joint‐channel estimation, multiuser detection, and turbo equalization for an MU‐MIMO SC‐FDMA system without CP‐insertion and with short TR. Some simulation examples are presented for the uplink scenario to demonstrate the effectiveness of the proposed scheme.

Phrasal Verbs and Breadth of Vocabulary Knowledge in Second Language Reading: An Exploratory Study

Hung-chun Wang 아시아영어교육학회 2009 The Journal of Asia TEFL Vol.6 No.3

Combined Assessment of Serum Alpha-Synuclein and Rab35 is a Better Biomarker for Parkinson’s Disease

Hung-Li Wang,Chin-Song Lu,Tu-Hsueh Yeh,Yu-Ming Shen,Yi-Hsin Weng,Ying-Zu Huang,Rou-Shayn Chen,Yu-Chuan Liu,Yi-Chuan Cheng,Hsiu-Chen Chang,Ying-Ling Chen,Yu-Jie Chen,Yan-Wei Lin,Chia Chen Hsu,Huang-Li 대한신경과학회 2019 Journal of Clinical Neurology Vol.15 No.4

Background and Purpose It is essential to develop a reliable predictive serum biomarker for Parkinson’s disease (PD). Te accumulation of alpha-synuclein (αSyn) and up-regulated expression of Rab35 participate in the etiology of PD. Te purpose of this investigation was to determine whether the combined assessment of serum αSyn and Rab35 is a useful predictive biomarker for PD. Methods Serum levels of αSyn or Rab35 were determined in serum samples from 59 sporadic PD patients, 19 progressive supranuclear palsy (PSP) patients, 20 multiple system atrophy (MSA) patients, and 60 normal controls (NC). Receiver operating characteristics (ROC) curves were calculated to determine the diagnostic accuracy of αSyn or/and Rab35 in discriminating PD patients from NC or atypical parkinsonian patients. Results The levels of αSyn and Rab35 were increased in PD patients. The serum level of Rab35 was positively correlated with that of αSyn in PD patients. Compared to analyzing αSyn or Rab35 alone, the combined analysis of αSyn and Rab35 produced a larger area under the ROC curve and performed better in discriminating PD patients from NC, MSA patients, or PSP patients. When age was dichotomized at 55, 60, 65, or 70 years, the combined assessment of αSyn and Rab35 for classifying PD was better in the group below the cutof age than in the group above the cutof age. Conclusions Combined assessment of serum αSyn and Rab35 is a better biomarker for discriminating PD patients from NC or atypical parkinsonian patients, and is a useful predictive biomarker for younger sporadic PD patients.

Preliminary Assessment of Optimized Accessorial Roof Shape for Performance of Wind Turbine Mounted on Eco-Roof System

Wang Xiao Hang,Chong Wen Tong,Wong Kok Hoe,Wang Chin-Tsan,Saw Lip Huat,Poh Sin Chew,Lai Sai Hin 한국정밀공학회 2018 International Journal of Precision Engineering and Vol.5 No.3

Transition from conventional energy paradigm to sustainable energy system is a major challenge in 21st century. This article presents a preliminary shape analysis of an accessorial roof with wind turbine to maximize the utilization of wind energy. This investigation focuses on the optimized accessorial roof shape to assess the performance of wind turbines mounted on an eco-roof. The optimization included inclination angle analyses of different variations of accessorial roofs and wind turbine power coefficient through numerical simulation. A V-shape accessorial roof with inclination angle of 19.5 is identified as the most effective roof inclination angle for wind energy harvesting which is due to a 63% wind speed-up and a lower turbulence intensity. The V-shape accessorial roof is capable of augmenting power output of a wind turbine installed on the building to about 1.375 times higher than that of 0.3366 without V-shape accessorial roof structure. A short straight channel integrated with the accessorial roof can further enhance the efficiency of the wind energy harvesting. This accessorial roof offered the possibility of harvesting wind energy in low wind speed areas. This design is also integrated with a solar photovoltaic system, daylight saving system, and rain water harvesting system. Finally, the power generated from the wind turbines of eco-roof system was estimated.