• 통합자연과학논문집
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• 제7권4호
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• pp.253-259
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• 2014

Protein kinase C theta (PKC-${\theta}$) is a serine/threonine specific protein kinase. It is largely expressed in the T-cells and CD28 signaling. PKC-${\theta}$ phosphorylates diverse proteins that are involved in the various cellular signaling pathways. Activated PKC-${\theta}$ in turn activates other transcription factors that control the proliferation and differentiation of T- cells. PKC-${\theta}$ is considered to be an interesting therapeutic target due to its crucial role in the proliferation, differentiation and survival of T-cells. In the present study, we have performed ligand-based CoMFA study on a series of pyridylpyrazolopyridine derivatives as PKC-${\theta}$ inhibitors. An acceptable CoMFA model ($q^2$=0.544; ONC=4; $r^2$=0.876) was developed and validated by Bootsrapping and progressive sampling. The CoMFA contour map suggested the regions to increase the activity. Bulky substitutions in R2 position of the piperizine ring could increase the activity. Similarly positive, small substitution in the R1 position of the Pyridine ring could considerably increase the activity. Our work could assist in designing more potent PKC-${\theta}$ inhibitors of pyridylpyrazolopyridine derivatives.

• ETRI Journal
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• 제44권2호
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• pp.286-299
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• 2022

Human activity recognition in real time is a challenging task. Recently, a plethora of studies has been proposed using deep learning architectures. The implementation of these architectures requires the high computing power of the machine and a massive database. However, handcrafted features-based machine learning models need less computing power and very accurate where features are effectively extracted. In this study, we propose a handcrafted model based on three-dimensional sequential skeleton data. The human body skeleton movement over a frame is computed through joint positions in a frame. The joints of these skeletal frames are projected into two-dimensional space, forming a "movement polygon." These polygons are further transformed into a one-dimensional space by computing amplitudes at different angles from the centroid of polygons. The feature vector is formed by the sampling of these amplitudes at different angles. The performance of the algorithm is evaluated using a support vector machine on four public datasets: MSR Action3D, Berkeley MHAD, TST Fall Detection, and NTU-RGB+D, and the highest accuracies achieved on these datasets are 94.13%, 93.34%, 95.7%, and 86.8%, respectively. These accuracies are compared with similar state-of-the-art and show superior performance.

• Safety and Health at Work
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• 제14권4호
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• pp.358-367
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• 2023

Background: This study aimed to develop and assess the psychometric features of the Physical Activity at Workplace Questionnaire (PAWPQ) based on the Social Cognitive Theory (SCT) to evaluate employees' physical activity (PA) behaviors at the workplace. Methods: This psychometric cross-sectional study was conducted on 455 employees working in one of the gas refineries in Iran. The participants were selected using the proportional stratified sampling method in 2019. The data collection tools were a demographic information questionnaire, the short form of the International Physical Activity Questionnaire (IPAQ), and a questionnaire developed based on the SCT, whose psychometric features were confirmed in terms of validity and reliability. Data were analyzed using SPSS₂₂ and AMOS₂₀ software. Results: The first version of PAWPQ-SCT had 74 items. After evaluating content and face validity, nine items were removed. The results of the content validity index (0.98), content validity ratio (0.86), and impact score (3.62) were acceptable for the whole instrument. In exploratory factor analysis, after removing seven items-58-item final version of the scale-six factors could explain 73.54% of the total variance. The results of structural equation modeling showed the acceptable fit of the model into the data (RMSEA = 0.052, CFI = 0.917, NFI = 0.878, TLI = 0.905, IFI = 0.917, CMIN/DF = 2.818). Cronbach's alpha coefficient and Intraclass Correlation were 0.90 and 0.86, respectively. Conclusion: This study confirmed that the psychometric features of the 58-item final version of PAWPQSCT constructs were acceptable in a sample of Iranian employees. This questionnaire can be used as a valid and reliable tool to evaluate Iranian employees' PA behaviors and develop effective educational interventions for workers and managers.

• 한국지하수토양환경학회지:지하수토양환경
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• 제17권5호
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• pp.68-74
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• 2012

The objective of this study is to examine a releasable asbestos sampler developed for measuring friable asbestos from soil to air controlled by wind velocity and water contents. Asbestos contaminated soil with 3.75% at the Sinsuk-asbestos mine was sampled, air-dried and sieved to 100 mesh, then homogenized during 24 hours' agitation. Various wind velocities, 1 m/s, 2 m/s, 3 m/s, and 5 m/s, were applied to evaluate releasable characteristics of the releasable asbestos sampler. In addition, soils with 1.0%, 3.4%, 4.4%, 11.0%, 16.2%, and 20.0% of water contents were also examined the amount of friable asbestos by the releasable asbestos sampler. Collected soil and air samples were analyzed by polarized light microscopy (PLM) and phase contrast microscopy (PCM), respectively. Those contents were applied to calculate an excess life cancer risk (ELCR). This study also discussed the relationship with risk assessment by a weeding scenario of activity based sampling (ABS) and field applied releasable asbestos sampler. The result was shown that friability of asbestos in soil increased with wind velocity and decreased with water content. In comparison with ELCR results, over 10E-4 of cancer risk was found in condition on < 5% water content and > 3m/s wind velocity.

• 한국콘텐츠학회논문지
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• 제12권9호
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• pp.422-433
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• 2012

본 연구는 여가활동 중에 국민들이 선호하는 여가스포츠활동의 참가를 유도하고 지속할 수 있도록 여가스포츠활동 유형을 개인종목, 대인종목, 단체종목으로 분류한 후 각 유형에 따른 여가제약을 규명하고자 하였다. 본 연구는 서울과 경기도에 거주하는 여가스포츠활동 참여자를 대상으로 하였다. 편의표집방법을 활용하여 총 286명이 연구에 참여하였다. 여가스포츠활동 참여자의 여가제약은 시설환경, 부정인식, 여건부족, 부상위험, 시간부족의 5가지 요인으로 분류되었다. 본 연구의 결과는 첫째, 여가제약 요인 중 시설환경요인이 가장 높은 것으로 나타났으며 부정인식요인이 가장 낮은 것으로 나타났다. 둘째, 여가스포츠활동 참가정도에 따른 여가제약의 차이는 부정인식요인, 여건부족요인에서 부분적으로 차이가 나는 것으로 나타났다. 셋째, 여가스포츠활동 유형에 따른 여가제약의 차이는 시설환경요인, 부정인식요인, 여건부족요인, 부상위험요인에서 부분적으로 차이가 나타났다. 이러한 결과를 바탕으로 여가스포츠활동 참가 정도와 유형에 따라 여가제약에 대한 차이가 있다는 것을 규명하였으며 이러한 결과는 맞춤형 여가제약 협상에 대한 연구들도 가능하게 할 것이며 미래 여가사회연구를 위한 중요한 자료가 될 것이다.

• ETRI Journal
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• 제42권6호
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• pp.932-942
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• 2020

To recover the neural activity from Magnetoencephalography (MEG) and Electroencephalography (EEG) measurements, we need to solve the inverse problem by utilizing the relation between dipole sources and the data generated by dipolar sources. In this study, we propose a new approach based on the implementation of a particle filter (PF) that uses minimum sampling variance resampling methodology to track the neural dipole sources of cerebral activity. We use this approach for the EEG data and demonstrate that it can naturally estimate the sources more precisely than the traditional systematic resampling scheme in PFs.

• 대한간호
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• 제32권1호
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• pp.61-76
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• 1993

This study was done in order La provide basic data to a Fee System for hospital based Home Health Care services in Korea in the future. It was done by investigating activities provided to possible Home Health Care clients who could be discharged early from genera] hospitals and then estimating the nursing care fee according to each nursing activity based upon the time used for activity. The subjects of the study were selected by convenience sampling and consisted of 35 clients who might be clients for Home Nursing Care and were presently admitted to a medical- surgical ward of Y University Medical Center located in Seoul, Korea. The data collection period was from September 1, 1991 to September 30, 1991. The research in strum nets utilized for the study were a client selection criterial for Home Health Care developed by Choo(l991) and a check-list of nursing activity developed by researcher. The results of the study were as follows : 1. There were 44 different nursing activities provided in the seven days but the time was calculated for only 25 of the nursing activities. 2. Fees for the 25 different nursing activities were calculated by multipling the median of the average wage of a staff nurse having five years experience in an A grade general hospital to the Lime of the nursing activity. The results were compared with the insurance fee which the government recognized as an appropriate fee for that activity. The nursing activities with a lower calculated fee than the insurance fee were suction, catheterization, exercise education and dressing change. The nursing activities with a higher calculated fee than the government recognized fee were 1M injection and vital sign check. 3. There was a range of 1-15 nursing activities provided daily to the client. For the average number of nursing activities per day of 6.26 events the nursing care fee was calaulated at W 6136 per day. 4. Based upon the results of the study, a recommentdation for a Home Health Care fee per visit based on the nursing activities provided could be formulated for a Home Health Care fee system. It could be formulated as following: 1) Home health Care fee per visit $=[(direct{\;} nursing{\;}fee(direct{\;}nursing{\;}care{\;}time{\;}per{\;}activity{\;}{\times}{\;}average{\;}nursing{\;}wage)+indirect fee]{\times}average$ nursing activity per visit]+management fee+ materials fee+a travel fee In this way a nursing fee could be calculated based upon the result of the study of the nursing fees per visit. 2) Nursing activity fees per visit. = $([direct nursing{\;}care{\;}fee+indirect{\;}nursing{\;}fee]{\times}average$ number of nursing activities provided per visit] (W 6, 136) + travel fee(\ 5, 542) +management fee material $fee({\alpha})\{\;}16, 436+{\alpha}$ The nursing fee per visit as calculated in this research of $\{\;}15, 0000+{\alpha}$ could be adjusted according to the patient's condition or the use of high technology nursing care or according to the amount of time spent for travel. The nursing care fee per visit presented in this study can be validated through a Home Health Care demonstration project.

• 센서학회지
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• 제20권2호
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• pp.137-144
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• 2011

Wireless sensor network(WSN) has the potential to greatly effect many aspects of u-healthcare. By outfitting the potential with WSN, wearable sensor node can collects real-time data on physiological status and transmits through base station to server PC. However, there is a significant gap between WSN and healthcare. WSN has the limited resource about computing capability and data transmission according to bio-sensor sampling rates and channels to apply healthcare system. If a wearable node transmits ECG and accelerometer data of 4 channel sampled at 100 Hz, these data may occur high loss packets for transmitting human activity and ECG to server PC. Therefore current wearable sensor nodes have to solve above mentioned problems to be suited for u-healthcare system. Most WSN based activity and ECG monitoring system have been implemented some algorithms which are applied for signal vector magnitude(SVM) algorithm and ECG noise algorithm in server PC. In this paper, A wearable sensor node using integrated ECG and 3-axial accelerometer based on wireless sensor network is designed and developed. It can form multi-hop network with relay nodes to extend network range in WSN. Our wearable nodes can transmit 1-channel activity data processed activity classification data vector using SVM algorithm to 3-channel accelerometer data. ECG signals are contaminated with high frequency noise such as power line interference and muscle artifact. Our wearable sensor nodes can remove high frequency noise to clear original ECG signal for healthcare monitoring.

• 한국방사성폐기물학회:학술대회논문집
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• 한국방사성폐기물학회 2003년도 가을 학술논문집
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• pp.322-327
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• 2003

It is important to know the accurate radionuclide inventory of radioactive waste for the reliable management. However, estimation of radionuclide concentrations in drummed radioactive waste is difficult and unreliable because of difficulties of direct detection, high cost, and radiation exposure of sampling personnel. In order to overcome these difficulties, scaling factors (SFs) have been used to assess the activities of radionuclides that could not be directly analyzed. A radionuclide assay system has been operated at KORI site since 1996 and consolidated scaling factor method has played a dominant role in determination of radionuclides concentrations. However, some problems are still remained such as uncertainty of estimated scaling factor values, inaccuracy of analyzed sample values, and disparity between the actual and ideal correlation pairs and the others. Therefore, it needs to improve the accuracy of scaling factor values. The scope of this paper is focused on the improvement of accuracy and representativeness of calculated scaling factor values based on statistical techniques. For the selection of reliable activity determination method, the accuracy of estimated SF values for each activity determination method is compared. From the comparison of each activity determination methods, it is recommended that SF determination method should be changed from the arithmetic mean to the geometrical mean for more reliable estimation of radionuclide activity. Arithmetic mean method and geometric mean method are compared based on the data set in KORI system.

• 부모자녀건강학회지
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• 제3권1호
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• pp.46-59
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• 2000

The purpose of this study is to determine whether the NCASA (Nursing Child Assessment Sleep/Activity Record) would be suitable to evaluate and to provide the basic resources for a Korean model of sleep/activity patterns during the first 6 months Korean infants' lives and to provide a basis for nursing intervention for mothers of early infants. The subjects of this study were 94 normal infants from birth to 6 months of age who visited the postpartum care center and two general hospitals located in Pusan from February 1 to April 28, 2000. The method of data collection was through convenient sampling. The instrument of this study was the NCASA translated by the Korean parent Child Health Academic Association. The collected data were analysed by mean, standard deviation, frequency percentage and ANOVA, Post Hoc test by use of SPSS/PC. The conclusions obtained from this study are summarized as follows: 1. The mean amount of daytime sleep was 8.06 hours. The mean amount of nighttime sleep was 6.31 hours. The mean amount of total daily sleep was 14.37 hours. The mean of the longest sleep period was 5.20 hours. The mean regularity of daytime sleep was 25.84%. The mean regularity of nighttime sleep was 77.69%. The mean regularity of total daily sleep was 42.60%. The mean frequency of nighttime wakenings was 2.33 times. 2. The mean amount of daytime activity was 8.25 hours. The mean amount of nighttime activity was 1.39 hours. The mean amount of daily total activity was 9.64 hours. The mean of the longest activity period was 3.80 hours The mean frequency of daytime feeding was 5.69 times. The mean frequency of nighttime feeding was 2.08 times. The mean frequency of total daily feeding was 7.74 times. The mean frequency regularity of feeding was 54.62%. The mean frequency of wakenings was 5.14 times. The mean frequency of crying was 1.90 times. 3. According to an analysis of sleep patterns based on an infant's age, there were some significant differences in the following factors: amount of daytime sleep(p<.001), amount of night time sleep(p<.05), amount of total daily sleep (p<.001), longest sleep period(p<.001), regularity of daytime sleep(p<.001), regularity of nighttime sleep(p<.01), regularity of total daily sleep(p<.001), frequency of nighttime wakenings(p<.001). 4. According to an analysis of activity patterns based on an infant's age, there were some significant differences in the following factors: amount of daytime activity(p<.001), amount of nighttime activity(p<.01), amount of total daily activity(p<.001), longest activity period(p<.05), frequency of nighttime feeding(p<.01), frequency of wakenings(p<.001). 5. The mean amount of a mother's day time was 16.30 hours. The mean amount of a mother's night time was 7.70 hours. In conclusion, the initial irregular sleeping and activity patterns of the early infant became regurized as the infant grew older and estabilished firmer patterns of sleeping and of activity.