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The Sixth World Congress on Computational Mechanics in Conjunction with the Second Asian-Pacific Congress on Computational MechanicsⅠ

作者： Tatsuya Hasegawa shinnosuke nishiki CIRSE Nagoya University Furo-cho Chikusa-ku Nagoya 464-8603 Japan Department of Mechanical Engineering Nagaoka University of Technology Kamitomioka Nagaoka 940-2188

Turbulent premixed flames propagating in homogeneous isotropic turbulent flows were directly simulated with a single-step irreversible reaction. Simulations were made for three different density ratios: case H, high-density ratio of flame ρ/ρ=7.53, case M, middle-density ratio of flame ρ/ρ=5.00, and case L, low-density ratio of flame ρ/ρ=2.50, while U’/U was nearly equal to unity. By these simulations, we obtained databases of fully developed stationary turbulent flames. These databases were investigated by analyzing the transport equations for turbulent kinetic energy and turbulent scalar flux to study flame-generated turbulence and counter-gradient diffusion. It was found that turbulent fluctuations of all components, especially the streamwise component, were amplified in the flame brash, and that flame-generated turbulence increased for a larger density ratio of the flame. Analysis based on the Favre-averaged transport equation for turbulent kinetic energy showed that pressure related terms produced kinetic energy in the flame brash. On the other hand, the diffusion and dissipation term and velocity gradient term decreased kinetic energy. It was also proved that the counter-gradient diffusion dominated turbulent scalar flux in the flame region. The Favre-averaged transport equation for turbulent scalar flux was analyzed on the basis of DNS databases. It was shown that the mean pressure gradient term, the fluctuating pressure term and the velocity-reaction rate correlation term played important roles on the counter-gradient diffusion, while the mean velocity gradient term, the mean progress variable gradient term and dissipation terms suppressed it.

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Using Cross Entropy as a Performance Metric for Quantifying Uncertainty in DNN Image Classifiers: An Application to Classification of Lung Cancer on CT Images

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Journal of Biomedical Science and Engineering 2024年第1期17卷 1-12页

作者： Eri Matsuyama Masayuki nishiki Noriyuki Takahashi Haruyuki Watanabe Faculty of Informatics University of Fukuchiyama Kyoto Japan Graduate School of Radiological Sciences International University of Health and Welfare Tochigi Japan School of Health Sciences Fukushima Medical University Fukushima Japan School of Radiological Technology Gunma Prefectural College of Health Sciences Gunma Japan

Cross entropy is a measure in machine learning and deep learning that assesses the difference between predicted and actual probability distributions. In this study, we propose cross entropy as a performance evaluation metric for image classifier models and apply it to the CT image classification of lung cancer. A convolutional neural network is employed as the deep neural network (DNN) image classifier, with the residual network (ResNet) 50 chosen as the DNN archi-tecture. The image data used comprise a lung CT image set. Two classification models are built from datasets with varying amounts of data, and lung cancer is categorized into four classes using 10-fold cross-validation. Furthermore, we employ t-distributed stochastic neighbor embedding to visually explain the data distribution after classification. Experimental results demonstrate that cross en-tropy is a highly useful metric for evaluating the reliability of image classifier models. It is noted that for a more comprehensive evaluation of model perfor-mance, combining with other evaluation metrics is considered essential. .

关键词： Cross Entropy Performance Metrics DNN Image Classifiers Lung Cancer Prediction Uncertainty

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Electrolytic Production of NF3 Using Boron-Doped Diamond Anode in Molten NH4F·2HF

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Journal of Chemistry and Chemical Engineering 2012年第6期6卷 499-505页

作者： Akimasa Tasaka Yuki Iida Tomoyuki Shiono Masaharu Uno Yoshinori nishiki Tsuneto Furuta Morihiro Saito Minoru Inaba Department of Applied Chemistry Graduate School of Engineering Doshisha University Kyoto 610-0321 Japan Department of Molecular Chemistry and Biochemistry Faculty of Science and Engineering Doshisha University Kyoto 610-0321 Japan Permerec Electrode Ltd. Kanagawa 252-0826 Japan

The current efficiency for NF3 formation was independent on the current density in the range of 200 to 1,000 mA·cm^2. The average values of NF3 current efficiencies on the BDD （boron-doped diamond） anode with the boron-concentration of 2,500 ppm were 32.3% at 80℃, 63.3% at 100℃ and 59.7% at 120℃. The best current efficiencies for NF3 formation on the BDD anode with boron-concentrations of 2,500, 5,000 and 7,500 ppm were obtained at 100℃ and those were 63.3%, 73.3% and 56.2%, respectively. Although anode effect occurred on the BDD electrodes covered with a part of the surface of the spiculate structure, which had the boron-concentrations higher than 7,500 ppm, it did not take place on the BDD electrodes covered with the surface of diamond structure, even if the BDD electrode had the boron-concentration of 8,000 ppm.

关键词： BDD (boron-doped diamond) electrode electrochemical synthesis of NF3 boron concentration current efficiency forNF3 formation degradation of BDD anode.

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Positron emission tomography complete metabolic response as a favorable prog-nostic predictor in esophageal cancer following neoadjuvant chemotherapy with docetaxel/cis-platin/5-fluorouracil

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World Journal of Clinical Oncology 2021年第4期12卷 249-261页

作者： Kosuke Suzuki Tsuyoshi Etoh Tomotaka Shibata Kohei nishiki Shoichi Fumoto Yoshitake Ueda Hidefumi Shiroshita Norio Shiraishi Masafumi Inomata Department of Gastroenterological and Pediatric Surgery Oita UniversityYufu 879-5593OitaJapan Department of Surgery Oita Nakamura HospitalOita 870-0022Japan

BACKGROUND 18F-fluorodeoxyglucose-positron emission tomography(PET)/computed tomography is useful in diagnosing lymph node and distant metastases of esophageal ***,its value for predicting survival is *** To evaluate the value of PET complete metabolic response(CMR)as a prognostic predictor for esophageal *** Between June 2013 and December 2017,58 patients with squamous cell esophageal cancer who underwent neoadjuvant chemotherapy(NAC)in Oita University were enrolled in this retrospective cohort *** were clinically staged using fluorodeoxyglucose-PET/computed tomography before and after *** NAC,maximal standardized uptake value≤2.5 was defined as PET-CMR,and maximal standardized uptake value>2.5 was defined as *** compared short-term outcomes between the PET-CMR group and non-PET-CMR group and evaluated prognostic factors by univariate and multivariate *** The PET-CMR group included 22 patients,and the non-PET-CMR group included 36 *** were no significant differences in intraoperative and post operative complications between the two ***-year relapse-free survival and overall survival in the PET-CMR group were significantly more favorable than those in the non-PET-CMR group(38.6 mo vs 20.8 mo,P=0.021;42.8 mo vs 25.1 mo,P=0.011,respectively).PET-CMR was a significant prognostic factor in terms of relapse-free survival by univariate analysis(hazard ratio:2.523;95%confidence interval:1.034–7.063;P<0.041).Particularly,PET-computed tomography negative N was an independent prognostic factor of relapse-free survival and overall survival by multivariate *** PET-CMR after NAC is considered a favorable prognostic factor for esophageal *** by PET-computed tomography could be useful in clinical decision making for esophageal cancer.

关键词： Esophageal cancer Neoadjuvant chemotherapy Positron emission tomography/computed tomography Complete metabolic response Prognostic factor Docetaxel,cisplatin plus 5-fluorouracil

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