Joachim N. Meuli;Jung-Ju Huang;Susana Heredero;Wei F. Chen;Tommy NJ Chang
Archives of Plastic Surgery
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v.51
no.2
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pp.258-261
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2024
Career building can be challenging for young surgeons, especially when topics such as lifestyle, work-life balance and subspecialization arise. Suggestions and advice from senior colleagues is very valuable but many young surgeons do not have such opportunities or are limited to a few senior surgeons. The International Microsurgery Club (IMC), in collaboration with the World Society of Reconstructive Microsurgery, organized a combined webinar for this topic and invited world renownedmicrosurgery masters polled by the IMCmembers to join, including Prof. Peter Neligan (Emeritus from University of Washington, United States), Prof. Raja Sabapathy (Ganga Hospital, India), Dr. Gregory Buncke (The Buncke Clinic, United States), Prof. Isao Koshima (Hiroshima University Hospital, Japan), Prof. David Chwei-Chin Chuang (Chang Gung Memorial Hospital, Taiwan), and Prof. Eric Santamaria (Hospital General Dr. Manuel Gea Gonzalez, Mexico) on May 1, 2022. Prof. Joon-Pio Hong (Asan Medical Center, South Korea) and Prof. Fu-Chan Wei (Chang Gung Memorial Hospital, Taiwan) were also selected but unfortunately could not make it and were therefore invited to another event in April 2023, summarized in a recently published paper. There is ample literature reporting on different aspects of developing a microsurgical career but the goal of this session was to offer an opportunity for direct exchange with experienced mentors. Moreover, insights from experienced microsurgeons from different part of the world were more likely to offer different perspectives on aspects such as career building, failure management, and team culture. This webinar event was moderated by Dr. Jung-Ju Huang (Taiwan), Dr. Susana Heredero (Spain), and Dr. Wei F. Chen (United States).
Bankruptcy involves considerable costs, so it can have significant effects on a country's economy. Thus, bankruptcy prediction is an important issue. Over the past several decades, many researchers have addressed topics associated with bankruptcy prediction. Early research on bankruptcy prediction employed conventional statistical methods such as univariate analysis, discriminant analysis, multiple regression, and logistic regression. Later on, many studies began utilizing artificial intelligence techniques such as inductive learning, neural networks, and case-based reasoning. Currently, ensemble models are being utilized to enhance the accuracy of bankruptcy prediction. Ensemble classification involves combining multiple classifiers to obtain more accurate predictions than those obtained using individual models. Ensemble learning techniques are known to be very useful for improving the generalization ability of the classifier. Base classifiers in the ensemble must be as accurate and diverse as possible in order to enhance the generalization ability of an ensemble model. Commonly used methods for constructing ensemble classifiers include bagging, boosting, and random subspace. The random subspace method selects a random feature subset for each classifier from the original feature space to diversify the base classifiers of an ensemble. Each ensemble member is trained by a randomly chosen feature subspace from the original feature set, and predictions from each ensemble member are combined by an aggregation method. The k-nearest neighbors (KNN) classifier is robust with respect to variations in the dataset but is very sensitive to changes in the feature space. For this reason, KNN is a good classifier for the random subspace method. The KNN random subspace ensemble model has been shown to be very effective for improving an individual KNN model. The k parameter of KNN base classifiers and selected feature subsets for base classifiers play an important role in determining the performance of the KNN ensemble model. However, few studies have focused on optimizing the k parameter and feature subsets of base classifiers in the ensemble. This study proposed a new ensemble method that improves upon the performance KNN ensemble model by optimizing both k parameters and feature subsets of base classifiers. A genetic algorithm was used to optimize the KNN ensemble model and improve the prediction accuracy of the ensemble model. The proposed model was applied to a bankruptcy prediction problem by using a real dataset from Korean companies. The research data included 1800 externally non-audited firms that filed for bankruptcy (900 cases) or non-bankruptcy (900 cases). Initially, the dataset consisted of 134 financial ratios. Prior to the experiments, 75 financial ratios were selected based on an independent sample t-test of each financial ratio as an input variable and bankruptcy or non-bankruptcy as an output variable. Of these, 24 financial ratios were selected by using a logistic regression backward feature selection method. The complete dataset was separated into two parts: training and validation. The training dataset was further divided into two portions: one for the training model and the other to avoid overfitting. The prediction accuracy against this dataset was used to determine the fitness value in order to avoid overfitting. The validation dataset was used to evaluate the effectiveness of the final model. A 10-fold cross-validation was implemented to compare the performances of the proposed model and other models. To evaluate the effectiveness of the proposed model, the classification accuracy of the proposed model was compared with that of other models. The Q-statistic values and average classification accuracies of base classifiers were investigated. The experimental results showed that the proposed model outperformed other models, such as the single model and random subspace ensemble model.
We introduced the physiological responses of aging, active aging and also suggest the impact of physical exercise on body health status and elderly immunity. In this purpose, we searched the Pub Med data base for the articles (include our experimental papers) and review papers having the terms 'Aging', 'Active aging' and 'Physical activity and elderly' in the title, published from 1999 until 2018. The results were as follows: Exercise training has been extensively studied about the reduction of inflammation, oxidative stress, disease, and aging in syndrome X patients and elderly. Combined and aerobic or resistance exercise training could reduce obesity, insulin resistance, type 2 diabetes and hypertension. Exercise training has been extensively studied in cancer settings as part of prevention or treatment strategies. From this research, regular exercise has the potential to target tumor growth through regulation of inflammation and immune responses such as lactate clearance, NK cell activation (innate immunity), activation of cytotoxic immune cells, T cell activation (adaptive immunity), and immune surveillance. However, Endurance physical activity not only induces thermogenesis and diverse sports injuries but also elicits mobilization and functional enhancement of monocytes, neutrophils (which is caused by the cytokine changes such as TNF-alpha, IL-1) whereas it suppresses cell mediated immunity causing to increased susceptibility to inflammation and infections like cough and URTIs (upper respiratory track infections) in young and especially in elderly people. Therefore, Strategies to prevent physical fatigue, sports injuries include avoid overtraining, Adequate recovery and various type of rest during and after physical activity and assuring adequate nutrition supplementation such as glutamine, vitamin B, vitamin C, carbohydrate, ion or berry-contain sports beverages is helpful in physically active elderly.
Jeong-sun Ju;Min-joo Park;Dal-woo Lee;Dong-won Lee
Journal of Life Science
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v.33
no.3
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pp.242-251
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2023
The purpose of this study was to investigate the effects of 8-week β-hydroxybutyrate (β-HB) administration with and without endurance exercise training on endurance exercise performance and skeletal muscle protein synthesis and degradation using a mouse model. Forty-eight male wild-type ICR mice (8 weeks old) were randomly divided into four groups: sedentary control (Sed+Con), (Sed+Con), sedentary β-HB (Sed+β-HB), exercise control (Exe+Con), and exercise β-HB (Exe+β-HB). β-HB was dissolved in PBS (150 mg/ml) and injected subcutaneously daily (250 mg/kg) for 8 weeks. Mice performed 5 days/week of a 20 min treadmill running exercise for 8 weeks. The running exercise was carried out at a speed of 10 m/min at a 10° incline for 5 min, and then the speed was increased by 1 m/min for every 1 min of the remaining 15 min. Following 8 weeks of treatments, visceral fat mass and skeletal muscle mass, blood parameters, and the markers for autophagy and protein synthesis were analyzed. The data were analyzed with one-way ANOVA (p<0.05) using the SPSS 21 program. Eight weeks of Exe+β-HB treatment significantly lowered blood lactate levels compared with the other three groups (Sed+Con, Sed+β-HB, and Exe+β-HB) Exe+β-HB) (p<0.05). Eight weeks of Exe+β-HB significantly increased maximal running time (time to exhaustion) compared with the Sed+Con and Exe+Con groups (p<0.05). Eight weeks of β-HB administration significantly decreased autophagy flux and autophagy-related proteins in the skeletal muscle of mice (p<0.05). Conversely, the combined treatment of β-HB and endurance exercise training increased protein synthesis (mTOR signaling and translation) (p<0.05). The 8-week β-HB treatment and endurance exercise training had synergistic effects on the increase in endurance performance, increase in protein synthesis, and decrease in protein degradation in the skeletal muscle of mice.
Journal of The Korean Association of Information Education
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v.18
no.3
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pp.371-380
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2014
There is a little curriculum for gifted and talented elementary information. Generally parallel curriculum model(PCM) for gifted children is being applied to many subjects. It is necessary to apply the PCM for gifted elementary children of information science. This model is a prime example of a training program was applied to the encryption. There are four parallel curriculum model. The four curriculum model can be used individually or combined, may be used only partially. In this study, the benefits of parallel curriculum model in order to reflect as much as possible in order all four courses were used. This program for 19 students in the gifted children for information science class were applied to four periods. Observe and record the activities of students in class, the survey targeted learners, assignments, methods of analysis were used. We found that the level of the program was suitable and the aspects of giftedness such as an ability to focus on the task and an ability to solve the problem were enhanced. Moreover, participants became more interested in the topic of encryption following the program.
Purpose: The purpose of this study is to understand a variety of intervention studies to prevent smoking by adolescents in U.S. and find out implications for Korea. Methods: This study reviewed articles found in the internet and analysed the data of US DHHS and CDC. Results: The School Health Policies and Programs Study (SHPPS) is a national survey periodically conducted to assess school health policies and programs of U.S. The main components of SHPPS are health education and physical education, health services, mental health and social services, school policies, and school environments. The CDC guidelines for school health programs to prevent tobacco use and addiction are composed of policy, instruction, curriculum, training, family involvement, tobacco-use cessation efforts, and evaluation. School-based interventions to prevent smoking can be classified into the categories of information-giving curricula, social competence curricula, social influence approaches, combined methods draw on social competence and social influence approaches and multi-modal programmes and Youth Empowerment study. The key programs for adolescent smoking prevention are ALERT Project, HSPP, TNT Project, MPP, NC YES. Conclusions: As smoking is often the first step of unhealthy behaviour such as alcohol drinking, illegal drugs, and violence, smoking prevention programmes for adolescents in U.S. have been comprehensive school-based health programs. In smoking prevention programs for adolescents, CDC plays a critical role by supporting survey, research, policy, and funds. The effectiveness of the programs was high when it was based on school and involved parents, community, and mass media. As the effect of each programme is not expected to last for a long time, consistent repetition of these interventions is essential. Current smoking prevention programs for adolescents are exploring the empowerment approach focused on the active involvement of participants rather than traditional approaches using order and discipline.
The purpose of this study was to investigate combined effects of diaphragm breathing and garlic powder intake on body composition, heart rate, blood press and immunoglobulin levels in middle-aged male smokers from the age 40-49. Diaphragm breath training was 2-5 grade intensity on dyspnea scale for 20 minutes four times a week for 4 weeks and subjects were given garlic at 3 g of powder after breakfast and dinner two times a day during the 4 weeks. The conclusions of this study are as follows; Garlic intake group decreased in percentage of body fat, in the comparison between groups, garlic intake group had a lower percentage of body fat than control group. Heart rate was decreased in Diaphragm breathing group at rest. SBP was decreased in Diaphragm breathing+garlic intake group. Garlic intake group and diaphragm breathing+garlic intake group increased in IgG.
Kim, Ji-Eun;Moon, Ji-Hea;Shin, Hyun-Ah;Lee, Ji-Sun;Kwon, Sung-Hee;Lee, Jung-Sook;Om, Ae-Son
Culinary science and hospitality research
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v.17
no.3
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pp.141-150
/
2011
The objective of this study is to monitor the microbiological effect on preschool children's hand safety according to educational methods of hand washing. The subjects were ten children aged three to five. The analyses of the microbiological effect were made before band washing education, after one-week video demonstrations of hand washing education, and after one-week video demonstrations of hand washing education combined with practice. The results were as follows. Total plate count, filamentous fungi, coliform, and Staphylocuccus aureus were detected from children's hands just before band washing education. According to the two-week hand washing education, such education was found effective in keeping the children's hands clean and safe. In conclusion, repeated and more consistent training of band washing would be important for children, especially aged three to five because most of the habits and behavior patterns were developed in these age groups and the effects were persistent during their future life.
The Journal of Korean Institute for Practical Engineering Education
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v.3
no.2
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pp.11-17
/
2011
As a rapid rate of social change and competitive, paradigm of industry environment manufacturing products and services is shifted. Engineers design, develop, manufacture the products and services are strongly asked competency of different new creative practices. This means while industrial structure has been shifted from mass production to various allied production and social engineering based production, qualifications of engineers are required to individual creative competency as alternatives. In order to improve the competency, engineer become the creative people have ability to develop the professional knowledge competency and expand the competency to convergence the new product and services with sensing the life and social structure shift, human engineering, psychology, and emotion. For the competency, we develop the training program "improving convergence, creativity through Art." we intend that the program should be composed of creative engineering mechanism combined creative arts mechanism. It has been operated to the engineers for 17 weeks. we will discuss the program result and research direction and utilization in depth.
Journal of the Korean Society of Fisheries and Ocean Technology
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v.38
no.3
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pp.241-248
/
2002
The combined hydroacoustic and demersal trawl surveys to investigate the distribution characteristics of fish schools in the Yellow Sea and the East China Sea were carried out during the spring of 1997 by the training ship "Nagasaki Maru" of Nagasaki University. Fish samples were collected by bottom trawling from 9 trawl stations randomly selected in the survey area, and the species and length compositions of trawl catches are examined. Hydroacoustic data were collected by using a Furuno FQ-50 scientific echo sounder operating at 50KHz and the data stored in field were later processed in the laboratory. The results obtained can be summarized as follows :1. In the 9 trawl surveys conducted in the Yellow Sea and the East China Sea, 78 species including 80 species of fishes, 4 species of Cephalopoda and 6 species of Crustacea, were identified. The most abundant species in these stations were swimming crab(Portunus trituberculatus), Japanese horse mackere(Trachurus japonicus), redlip croaker(Larimichthys polyactis) and the catch per one hour in each station ranged 7.7 to 182.5 kg/hour. 2. The mean volume backscattering strength for the entire water column and the bottom layer of the 0-10 m from bottom friction were -74.6 ㏈ and -68.2 ㏈, respectively. That is, the mean volume backscattering strength for the bottom layer was 6.4 ㏈ higher than that for the entire water column 3. In the surveys during the spring of 1997, the geographical distribution characteristics of fish schools suggests a trend of decreasing fish abundance toward the coast area of Korea and the highest demersal concentrations appeared in waters between the Cheju Island and the Tsushima Island 4. The distribution density of fish school in the East China Sea and Yellow Sea during the 1997 acoustic survey were estimated to be 6.65$\times$10$^{-5}$ kg/㎥ in the entire water column and 2.86$\times$l0$^{-4}$ kg/㎥ in the bottom layer, respectively.pectively.
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