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Directions of education and human resource development in "New Industrial Structure Vision" report
Dr. Yuji TANIGUCHI 한국직업자격학회 2017 한국직업자격학회 학술대회 Vol.2017 No.10
With the technology breakthrough called Deep Learning triggered, discussions about the fear of “techno unemployment” that is deprived of employment by AI and robots got into full swing. For example, according to a joint research between Nomura Research Institute and Oxford University, Japan suggested that 49% of employment is likely to be replaced with AI or robots within the next 15 to 20 years. There is also a view that the innovation of AI, IoT and robotics will bring forth the Fourth Industrial Revolution, while increasing labor savings will create new employment needs. The Ministry of Economy, Trade and Industry with this idea gathered experts and repeated discussions on the Fourth Industrial Revolution and compiled a report titled "New Industrial Structure Vision" in May this year. The report depicts the strategy and roadmap for Japan to successfully ride the wave of the Fourth Industrial Revolution and achieve economic growth. It also shows the direction of education and human resource development accompanying labor migration to human resources development and growth fields in response to the change in employment structure accompanying the Fourth Industrial Revolution. Its pivot is to revolutionize the way of education and human resource development radically to bring up talented persons who create new business. Specifically, it is to develop the following three together; (1)Human resources development at the top tier, (2)Raising of middle-skill human resources through university education and working adults training, (3)Fostering basic qualities and abilities at primary and secondary education. The third (primary and secondary education) means nurturing qualities and abilities in anticipation of a society that is entering the Fourth Industrial Revolution. The concrete direction is as follows; (1)Fostering qualities and abilities such as ability to master information, data and IT for creative problem discovery and resolution, ability to work with diverse people, sensitivity and leadership, motivation to challenge. (2)Improvement of learning about understanding of significance of algorithms, programming, analysis based on data.
Dr. Yuji TANIGUCHI,Dr. Rie YAMAMOTO,Dr. Moriki TERADA 한국직업자격학회 2017 한국직업자격학회 학술대회 Vol.2017 No.10
This presentation clarifies the relevance between qualifying technical education courses and career experiences in colleges, and the development of key vocational competencies and vocational values by students. This study was originally implemented as one part of the surveys within the framework of Prof. Terada’s research project. The analysis was made from longitudinal data (N=82) from students at two Japanese polytechnic colleges, based on responses in 2013 (freshmen) and 2016 (seniors). Many students had received vocational certificates before entering college, but the tendency had been reinforced since the first year in college. This influences the development of vocational key skills or vocational values. These situations were shown through factor analyses of variables for skills and values, analyses of variances on factor scales, and some career experience variables.
Access Control with OpenID on the Web
Tadashi SHIROMA,Tetsuya HIGA,Tomokazu NAGATA,Yuji TANIGUCHI,Shiro TAMAKI,Morikazu NAKAMURA 대한전자공학회 2009 ITC-CSCC :International Technical Conference on Ci Vol.2009 No.7
In recent years, Single Sign-On for the Web is demanded highly and OpenID was proposed. OpenID is usually used as a method for verifying the identifier of users. By contrast, we use OpenID as a method for proving the attributes or knowledge of users. In this article, we suggest an access control method using OpenID with the optional factors of the users on the Web.
Masashi Utsumi,Hideki Aoki,Seiichi Nagahisa,Seitaro Nishimura,Yuta Une,Yuji Kimura,Megumi Watanabe,Fumitaka Taniguchi,Takashi Arata,Koh Katsuda,Kohji Tanakaya 대한외과학회 2020 Annals of Surgical Treatment and Research(ASRT) Vol.99 No.1
Purpose: Postoperative pancreatic fistula (POPF) is the most important factor affecting morbidity and mortality after pancreaticoduodenectomy (PD). Patients with a high controlling nutritional status (CONUT) score, which is used to assess nutritional status, are expected to have high morbidity rates. This study aimed to determine the usefulness of the CONUT score. Methods: Data from 97 consecutive cases of PD performed in the Department of Surgery of Iwakuni Clinical Center, from April 2008 to May 2018, were included. Preoperative patient data, including sex, age, and hypertension, and postoperative complication data were collected to analyze pancreatic fistula occurrence. Results: Of the 97 patients, 2 9 patients (29.8%) were diagnosed with POPF ≥ B, with 26 cases (26.8%) classified as grade B and 3 (3.1%) as grade C. The mortality rate was 2.1% (2 of 97). In the univariate analysis, a significant association was observed between POPF and the following factors: body mass index (BMI) ≥ 22 kg/m2, high CONUT score, nonpancreatic carcinoma, and CT attenuation values. In multivariate analysis, BMI ≥ 22 kg/m2 (odds ratio [OR], 6.16; P < 0.001), high CONUT score (OR, 3.77; P = 0.009), nonpancreatic carcinoma (OR, 5.72; P = 0.009), and CT attenuation values (late/early ratio) in the pancreas (OR, 9.07; P = 0.006) were independent risk factors for POPF. Conclusion: Patients with a high CONUT score are at high risk of POPF. Further study correlating preoperative nutritional intervention with risk of POPF is necessary