http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Toru Eguchi,Takaaki Sekiai,Akihiro Yamada,Satoru Shimizu,Masayuki Fukai 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
We previously proposed a control technology to reduce CO and NOx emissions in power generating. In this technology, an optimal controllogic is obtained by Rein forcement Learning (RL) and a Radial Basis Function(RBF) network which constructs are sponse surface for the CO and NOx properties. An improvement of estimation accuracy of the response surface can enhance the controllogic performance, so the radius of RBF network should be determined properly since it is one of the most influential factors on estimation accuracy. On the other hand, adjustment of the radius should be executed with in several minutes as computational time for constructing the response surface is restricted. In this paper, we propose a new radiusad justing method for RBF network stoachieve high estimation accuracy and short computational time. This method adjustsradii based on the densities of learning data, thus it can achieve both high estimation accuracy and short computational time. The results of our evaluation showed that the proposed method had higher estimation accuracy than conventional methods with in apractical computatinal time.
Elevated Levels of Serum Pentosidine Are Associated with Dropped Head Syndrome in Older Women
Yawara Eguchi,Toru Toyoguchi,Kazuhide Inage,Kazuki Fujimoto,Sumihisa Orita,Kazuyo Yamauchi,Miyako Suzuki,Hirohito Kanamoto,Koki Abe,Masaki Norimoto,Tomotaka Umimura,Masao Koda,Takeo Furuya,Yasuchika A 대한척추외과학회 2019 Asian Spine Journal Vol.13 No.1
Study Design: A retrospective observational study was performed. Purpose: We investigated the prevalence of sarcopenia in dropped head syndrome (DHS), and the relationship between biochemical markers, including major advanced glycation end products (AGEs), pentosidine, and DHS in older women. Overview of Literature: AGEs have been implicated in the pathogenesis of sarcopenia. Methods: We studied 13 elderly women with idiopathic DHS (mean age, 77.2 years) and 20 healthy volunteers (mean age, 74.8 years). We used a bioelectrical impedance analyzer to analyze body composition, including appendicular skeletal muscle mass index (SMI; appendicular lean mass [kg]/[height (m)]2). Cervical sagittal plane alignment, including C2–C7 sagittal vertical axis (C2–C7SVA), C2–C7 angle, and C2 slope (C2S), was measured. Biochemical markers, such as serum and urinary pentosidine, serum homocysteine, 1, 25-dihydroxyvitamin D, and 25-hydroxyvitamin D, were measured. The level of each variable was compared between DHS and controls. The relationship between biochemical markers and DHS was examined. Results: Sarcopenia (SMI <5.75) was observed at a high prevalence in participants with DHS (77% compared to 22% of healthy controls). Height, weight, femoral bone mineral density, appendicular lean mass, total lean mass, and SMI all had significantly lower values in the DHS group. Serum and urinary pentosidine, and serum homocysteine were significantly higher in the DHS group compared to controls. Analysis of cervical alignment revealed a significant positive correlation of serum pentosidine with C2–C7SVA and C2S. Conclusions: Sarcopenia was involved in DHS, and high serum pentosidine levels are associated with severity of DHS in older women.
Association between Osteoporosis and Skeletal Muscle Mass in Men
Mizutani Masaya,Eguchi Yawara,Toyoguchi Toru,Orita Sumihisa,Inage Kazuhide,Shiga Yasuhiro,Maki Satoshi,Nakamura Junichi,Hagiwara Shigeo,Aoki Yasuchika,Inoue Masahiro,Koda Masao,Takahashi Hiroshi,Akaza 대한척추외과학회 2024 Asian Spine Journal Vol.18 No.1
Study Design: Cross-sectional study.Purpose: This cross-sectional study aimed to investigate the risk factors for osteoporosis in men by assessing bone mineral density (BMD), skeletal muscle mass, body fat mass, grip strength, and advanced glycation end products (AGEs).Overview of Literature: Fewer studies have reported the correlation between BMD and skeletal muscle mass in women. Moreover, a few studies have examined the relationship between osteoporosis and skeletal muscle mass.Methods: This study included 99 men (mean age, 74.9 years; range, 28–93 years) who visited Qiball Clinic for BMD and body composition examinations. The osteoporosis group consisted of 24 patients (mean age, 72.5 years; range, 44–92 years), and the control group consisted of 75 individuals (mean age, 74.9 years; range, 28–93 years). Whole-body skeletal muscle mass was measured using a bioelectrical impedance analyzer. BMD was measured by dual X-ray absorptiometry. Skin autofluorescence (SAF), a marker of dermal AGE accumulation, was measured using a spectroscope. Osteoporosis was defined as a bone density T score of –2.5 or less. Physical findings, skeletal muscle mass, BMD, grip strength, and SAF were compared between the osteoporosis and control groups.Results: The osteoporosis group had significantly lower trunk muscle mass (23.1 kg vs. 24.9 kg), lower leg muscle mass (14.4 kg vs. 13.0 kg), and skeletal mass index (7.1 kg/m<sup>2</sup> vs. 6.7 kg/m<sup>2</sup>) than the control group (all <i>p</i><0.05). Lower limb muscle mass was identified as a risk factor for osteoporosis in men (odds ratio, 0.64; <i>p</i>=0.03).Conclusions: Conservative treatment of osteoporosis in men will require an effective approach that facilitates the maintenance or strengthening of skeletal muscle mass, including exercise therapy with a focus on lower extremities and nutritional supplementation.
Job Shop Scheduling Using Estimation of Distribution Algorithms
Masahiro Fujimoto,Toru Eguchi 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
This paper presents an application of Estimation of Distributed Algorithms to the job shop scheduling withthe objective to minimize tardiness of jobs. The priority values for job selection are coded as genes and estimated byEDAs. Three kinds of methods for estimating the priorities are tested. In addition, the optimization method using the mixture of EDA and an effective priority rule for job selection is examined. Numerical experiments show that the performance of EDAs is comparable to that of a genetic algorithm using a random key coding.