• Title/Summary/Keyword: Summary Management

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Definitions, Categories, and Several Debating Points of Social Economy (사회적경제 고찰 : 정의, 범주 그리고 몇 가지 쟁점들)

  • Kim, Sin-Young
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.5
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    • pp.121-126
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    • 2022
  • This study purports to achieve three different yet related tasks. First of all, this study reviews thoroughly social economy as an academic subject which have been drawing much attentions in social science. Secondly, this study examines developmental trajectory of social economy in Korea and reviews categories and types of social economy in current Korean society. Lastly, this study introduces several arguments around social economy. For these tasks, brief summary of the definitions of social economy from foreign and domestic scholars will be provided. Then five controversial subjects on social economy will be introduced. Those are the effect of social economy on employment, the future of social economy in the context of welfare state, the sustainability of social economy, the relationship of social economy with civil society, and the relationship between social economy and basic income. The author hopes that this study could provide thorough pirctire of social economy conceptually as well as practically for those who are interested in social economy both in academia and civil society organizations.

Water level forecasting for extended lead times using preprocessed data with variational mode decomposition: A case study in Bangladesh

  • Shabbir Ahmed Osmani;Roya Narimani;Hoyoung Cha;Changhyun Jun;Md Asaduzzaman Sayef
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.179-179
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    • 2023
  • This study suggests a new approach of water level forecasting for extended lead times using original data preprocessing with variational mode decomposition (VMD). Here, two machine learning algorithms including light gradient boosting machine (LGBM) and random forest (RF) were considered to incorporate extended lead times (i.e., 5, 10, 15, 20, 25, 30, 40, and 50 days) forecasting of water levels. At first, the original data at two water level stations (i.e., SW173 and SW269 in Bangladesh) and their decomposed data from VMD were prepared on antecedent lag times to analyze in the datasets of different lead times. Mean absolute error (MAE), root mean squared error (RMSE), and mean squared error (MSE) were used to evaluate the performance of the machine learning models in water level forecasting. As results, it represents that the errors were minimized when the decomposed datasets were considered to predict water levels, rather than the use of original data standalone. It was also noted that LGBM produced lower MAE, RMSE, and MSE values than RF, indicating better performance. For instance, at the SW173 station, LGBM outperformed RF in both decomposed and original data with MAE values of 0.511 and 1.566, compared to RF's MAE values of 0.719 and 1.644, respectively, in a 30-day lead time. The models' performance decreased with increasing lead time, as per the study findings. In summary, preprocessing original data and utilizing machine learning models with decomposed techniques have shown promising results for water level forecasting in higher lead times. It is expected that the approach of this study can assist water management authorities in taking precautionary measures based on forecasted water levels, which is crucial for sustainable water resource utilization.

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PSMA Inhibitors for Nuclear Imaging and Radiotherapy of Prostate Cancer

  • Sajid Mushtaq;Tugsuu Uyanga;Park Ji Ae;Jung Young Kim
    • Journal of Radiopharmaceuticals and Molecular Probes
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    • v.9 no.1
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    • pp.23-33
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    • 2023
  • Prostate cancer ranks as the world's second most frequently diagnosed cancer among men, and is responsible for the fifth highest number of cancer-related deaths in this population. The development of effective diagnostic and therapeutic approaches for prostate cancer remains a major challenge in the field of oncology. Over the past few years, the prostate-specific membrane antigen (PSMA) has raised as a hopeful tracer for the diagnosis and treatment of prostate cancer.Various radioisotopes, such as 131I, 99mTc, 68Ga, and 177Lu, have been used to label PSMA analogues, with varying degrees of success. Among these, 68Ga-PSMA-11 and 177Lu-PSMA-617 have emerged as the most promising radioligands for clinical use. Recently, researchers have been exploring the use of other radioisotopes, such as 211At, 89Zr, 64/67Cu, and 203/212Pb, for the labeling of PSMA-targeted radioligands. These radioisotopes have unique properties that may offer advantages over existing radioligands, such as longer half-lives, higher specific activities, and different emission profiles. Efforts are currently underway to develop these radiopharmaceuticals and make them more widely available for clinical use. These exciting developments highlight the potential of PSMA-targeted radioligands for the diagnosis and treatment of prostate cancer, and provided significant implications for the management of this disease in the future. The current study aims to provide a comprehensive summary of the latest research and clinical applications of radiolabeled PSMA inhibitors for diagnoses and therapy of prostate cancer, emphasizing the exciting developments in the field and their potential impact on clinical practice.

A Study on the Energy Usage Prediction and Energy Demand Shift Model to Increase Energy Efficiency (에너지 효율 증대를 위한 에너지 사용량 예측과 에너지 수요이전 모델 연구)

  • JaeHwan Kim;SeMo Yang;KangYoon Lee
    • Journal of Internet Computing and Services
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    • v.24 no.2
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    • pp.57-66
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    • 2023
  • Currently, a new energy system is emerging that implements consumption reduction by improving energy efficiency. Accordingly, as smart grids spread, the rate system by timing is expanding. The rate system by timing is a rate system that applies different rates by season/hour to pay according to usage. In this study, external factors such as temperature/day/time/season are considered and the time series prediction model, LSTM, is used to predict energy power usage data. Based on this energy usage prediction model, energy usage charges are reduced by analyzing usage patterns for each device and transferring power energy from the maximum load time to the light load time. In order to analyze the usage pattern for each device, a clustering technique is used to learn and classify the usage pattern of the device by time. In summary, this study predicts usage and usage fees based on the user's power data usage, analyzes usage patterns by device, and provides customized demand transfer services based on analysis, resulting in cost reduction for users.

Surgical Strategy for Skull Base Chordomas : Transnasal Midline Approach or Transcranial Lateral Approach

  • Wang, Benlin;Li, Qi;Sun, Yang;Tong, Xiaoguang
    • Journal of Korean Neurosurgical Society
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    • v.65 no.3
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    • pp.457-468
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    • 2022
  • Objective : The clinical management paradigm of skull base chordomas is still challenging. Surgical resection plays an important role of affecting the prognosis. Endonasal endoscopic approach (EEA) has gradually become the preferred surgical approach in most cases, but traditional transcranial surgery cannot be completely replaced. This study presents a comparison of the results of the two surgical strategies and a summary of the treatment algorithms for skull base chordomas. Methods : We retrospectively analyzed the surgical outcomes and follow-up data of 48 patients with skull base chordomas diagnosed pathologically who received transnasal midline approaches (TMA) and transcranial lateral approaches (TLA) from 2010 to 2020. Results : Among the 48 patients, 36 cases were adopted TMA and 12 cases were performed with TLA. In terms of gross total resection (GTR) rate, 27.8% in TMA and 16.7% in TLA and with EEA alone it was increased to 38.9%, while 29.7% in primary surgery. In TMA, the cerebrospinal fluid (CSF) leak remains the most common complication (13 cases, 36.1%), other main complications included death, cranial nerve palsy, hypopituitarism, all the comparisons were no statistical significance. The Karnofsky Performance Scale scores in TMA were all better than those in TLA at different time, and the overall survival (OS) and recurrence free survival/progression free survival was just the reverse. Conclusion : The EEA for skull base chordomas resection has improved the GTR rate, but transcranial approach is still an alternative approach. It is necessary to select an appropriate surgical approach based on the location and the pattern of tumor growth in order to obtain the best surgical outcomes.

Groundwater vulnerability assessment in the southern coastal sedimentary basin of Benin using DRASTIC, modified DRASTIC, Entropy Weight DRASTIC and AVI

  • Agossou, Amos;Yang, Jeong-Seok
    • Proceedings of the Korea Water Resources Association Conference
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    • 2021.06a
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    • pp.152-152
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    • 2021
  • The importance of groundwater has long been recognized, but the ground water potential to become contaminated as a result of human activities has only been recognized in recently. Before 1980 it was thought that soils served as filters, preventing harmful substances deposited at the surface from migrating into groundwater. Today it is known that soils have a finite capacity to protect groundwater. It can be contaminated from divers sources. Therefore, Assessment of aquifer vulnerability to pollution is essential for the protection and management of groundwater and land use planning. In this study, we used DRASTIC and AVI for groundwater vulnerability to contamination assessment. the different methods were applied to the southern coastal sedimentary basin of Benin and DRASTIC method was modified in two different steps. First, we modified DRASTIC by adding land use parameter to include the actual pollution sources (DRASTICLcLu) and second, classic DRASTIC weights was modified using Shannon's entropy (Entropy weight DRASTIC). The reliability of the applied approaches was verified using nitrate (NO3-) concentration and by comparing the overall vulnerability maps to the previous researches in the study area and in the world. The results from validation showed that the addition of landcover/land use parameter to the classic DRASTIC helps to improve the method for better definition of the vulnerable areas in the basin and also, the weight modification using entropy improved better the method because Entropy weight DRASTICLcLu showed the highest correlation with nitrate concentration in the study basin. In summary the weight modification using entropy approach reduced the uncertainty of the human subjectivity in assigning weights and ratings in the standard DRASTIC.

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Korean Surgical Practice Guideline for Pancreatic Cancer 2022: A summary of evidence-based surgical approaches

  • Seung Eun Lee;Sung-Sik Han;Chang Moo Kang;Wooil Kwon;Kwang Yeol Paik;Ki Byung Song;Jae Do Yang;Jun Chul Chung;Chi-Young Jeong;Sun-Whe Kim;Committee of the Korean Surgical Practice Guideline for Pancreatic Cancer
    • Annals of Hepato-Biliary-Pancreatic Surgery
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    • v.26 no.1
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    • pp.1-16
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    • 2022
  • Pancreatic cancer is the eighth most common cancer and the fifth most common cause of cancer-related deaths in Korea. Despite the increasing incidence and high mortality rate of pancreatic cancer, there are no appropriate surgical practice guidelines for the current domestic medical situation. To enable standardization of management and facilitate improvements in surgical outcome, a total of 10 pancreatic surgical experts who are members of Korean Association of Hepato-Biliary-Pancreatic Surgery have developed new recommendations that integrate the most up-to-date, evidence-based research findings and expert opinions. This is an English version of the Korean Surgical Practice Guideline for Pancreatic Cancer 2022. This guideline includes 13 surgical questions and 15 statements. Due to the lack of high-level evidence, strong recommendation is almost impossible. However, we believe that this guideline will help surgeons understand the current status of evidence and suggest what to investigate further to establish more solid recommendations in the future.

The Effects of the Price Difference Ratios between Preferred and Common Stocks on Preferred Stocks: Evidence from Dynamic Panel Models (우선주-보통주 괴리율이 우선주 수익률 및 종가에 미치는 영향: 동태적 패널 분석)

  • Sujung Choi
    • Asia-Pacific Journal of Business
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    • v.15 no.2
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    • pp.207-222
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    • 2024
  • Purpose - This study investigates whether the lagged price difference ratio between preferred and common stocks is related to the return and closing price of the preferred stock using three panel models. Design/methodology/approach - As a first step, we use a two-way fixed effect panel model with stationary preferred stock returns as a dependent variable. For robustness, we then apply the autoregressive distributed lag model (ARDL) and error correction model (ECM) with nonstationary closing prices of the preferred stocks as a dependent variable and compare the results of each model. The ARDL and ECM models provide an advantage of estimating a long-run equilibrium equation together if a long-run relationship exists between the two time-series variables compared to the fixed effect model. Findings - Our sample consists of 107 preferred stocks with at least four years of daily observations as of the end of December 2023. The coefficients of the error correction terms in the ARDL and ECM models are highly statistically significant, approximately -0.08. This indicates that the disequilibrium between the closing prices of common and preferred stocks adjusts by about 8% per day toward equilibrium. In all three models, the price difference ratio on day t-1 was statistically significant in explaining the preferred stock returns or closing prices on day t, implying that trading based on the previous day's price difference ratio is effective for one day. Research implications or Originality - Furthermore, the returns on preferred stocks are higher for firms with a lower proportion of foreign investors or a lower foreign market capitalization of preferred stocks. This suggests that foreign investors with informational advantages do not actively engage in profit-taking by trading preferred stocks, thus not narrowing the price difference. In summary, the recent surge in preferred stock prices is likely driven mainly by the irrational behavior of retail investors.

Association between Dietary Factors and Breast Cancer Risk among Chinese Females: Systematic Review and Meta-analysis

  • Liu, Xue-Ou;Huang, Yu-Bei;Gao, Ying;Chen, Chuan;Yan, Ye;Dai, Hong-Ji;Song, Feng-Ju;Wang, Yao-Gang;Wang, Pei-Shan;Chen, Ke-Xin
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.3
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    • pp.1291-1298
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    • 2014
  • Background: Evidence for associations between dietary factors and breast cancer risk is inconclusive among Chinese females. To evaluate this question, we conducted a systematic review of relevant case-control and cohort studies. Methods: Studies were systematically searched among 5 English databases (PudMed, ScienceDirect, Wiley, Clinicaltrials.gov, and Cochrane) and 3 Chinese databases (CNKI, WanFang, and VIP) until November 2012. Random effects models were used to estimate summary odds ratios (ORs) and the corresponding 95% confidence intervals (CIs). Results: Thirty one case-control studies and two cohort studies involving 9,299 cases and 11,413 controls were included. Consumption of both soy and fruit was significantly associated with decreased risk of breast cancer, with summary ORs of 0.65 (95% CIs: 0.43-0.99; I2=88.9%, P<0.001; N=13) and 0.66 (95% CIs: 0.47-0.91; $I^2$=76.7%, P<0.001; N=7), respectively. Consumption of fat was significantly associated with increased risk of breast cancer (OR=1.36; 95% CIs: 1.13-1.63; $I^2$=47.9%, P=0.088; N=6). There was nonsignificant association between consumption of vegetables and breast cancer risk (OR=0.72; 95% CIs: 0.51-1.02; $I^2$= 74.4%, P<0.001; N=9). However, sensitivity analysis based on adjusted ORs showed decreased risk of breast cancer was also associated with consumption of vegetables (OR=0.49; 95% CIs: 0.30-0.67). Conclusion: Both soy food and fruit are significantly associated with decreased risk of breast cancer among Chinese females, and vegetables also seems to be protective while dietary fatexerts a promoting influence.

A Study on Factors Affecting Job Satisfaction of Chinese Bankers and the Moderating Effect of Demographic Characteristics (중국은행원들의 직무만족 영향요인과 인구통계학적 특성의 조절효과 분석)

  • Yeying, Yeying;Kim, Jung-Won;Kim, Dong-Chul
    • Management & Information Systems Review
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    • v.33 no.2
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    • pp.13-35
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    • 2014
  • The purpose of this study is to investigate the impact on job satisfaction of the chinese bank staff by judging their motivators and hygiene factors. To explore the regulation of demographic characteristics between motivators, hygiene factors and job satisfaction. In the banking organization through the use of various elements of motivation duties assigned to meet organizational objectives put forward in order to achieve an effective incentive scheme given. In summary the results of analysis, the impact on motivator and job satisfaction in the work itself the result of regression analysis, promotion and recognition of the growth and job satisfaction in order to affect a positive sense of accomplishment and responsibility on the other hand, the task appeared was found not to affect satisfaction. The motivators of the bankers its positive influence on job satisfaction than hygiene factors were relatively high. And moderating effect of demographic characteristics and to validate the results, demographic characteristics and health factors are motivation and job satisfaction in the relationship between the presence of the control effect was analyzed. The relationship between motivation and job satisfaction is the demographic characteristics were analyzed to control that acts as a tour director, Hygiene factors influence job satisfaction is based on demographic characteristics was analyzed the age and education have been shown to exist, while Sex, tours, position the relationship between job satisfaction and hygiene factors do not exist in the control effect was analyzed.

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