• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.1093-1106
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• 2020

The role of the social environment for any activity is crucial as it prompts new ideas and plays a role of lever for entrepreneurial longevity and creating value through social wellbeing. The lack of entrepreneurship related knowledge in Pakistan has taken the challenge of lesser entrepreneurial activity as compared to other counterpart Asian countries and ranked 138 out of 189 countries on the level of ease of doing business. The study aims to investigate the social environment as a mediator among idea generation, business creation, financing decision and entrepreneurial activity by utilizing quantitative approach. In order to achieve the objective, a total of thirty eight items scale was self-administered for data collection. A non-probability, snowball sampling technique was employed and assembled a total of 300 complete responses through online and paper based surveys as per information provided by the chamber of commerce of three regions namely; Sukkur, Hyderabad and Karachi Sindh, Pakistan. The data analysis result strongly supported the main research question as the entrepreneurial activity increased up to 43.8% after applying social environment as a mediator. This research can help to enhance entrepreneurial activities in Pakistan by creating awareness to support entrepreneurs at social level for entrepreneurship.

• Journal of Integrative Natural Science
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• v.7 no.4
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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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• v.44 no.2
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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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• v.14 no.4
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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.

• Journal of Soil and Groundwater Environment
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• v.17 no.5
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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.

• The Journal of the Korea Contents Association
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• v.12 no.9
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• pp.422-433
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• 2012

The purpose of this study was to investigate leisure constraints based on the types of leisure sports activity(individual, partner, and group activities) in order to lead people to participate in and to continue their leisure sports activities. Data were collected from leisure sports participants in Seoul and Kyungki province. A total of 286 respondents were selected using the convenience sampling method. Leisure constraint's sub-dimensions for the respondents were named as facility and environment, negative perception, lack of condition, risk of injury, and lack of time. As the results of this study, first, respondents felt facility and environmental constraint the most and negative perception constraint the lowest. Second, there were differences in negative perception and lack of condition constraints based on the magnitude of participation. Finally, there were differences in facility and environment, negative perception, lack of condition, and risk of injury constraints based on the types of leisure sports activity.

• ETRI Journal
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• v.42 no.6
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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.

• The Korean Nurse
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• v.32 no.1
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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.

• Journal of Sensor Science and Technology
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• v.20 no.2
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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.

• Proceedings of the Korean Radioactive Waste Society Conference
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• 2003.11a
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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.