2,207 research outputs found
26. Sekiguchi Makiko, Shugendō kyōdan seiritsu-shi : Tōzan-ha wo tōshite [L'histoire de la formation de la communauté de shugendō : vue à travers le cas de la branche Tōzan-ha], 2009
No full textSatoshi Itō, Trenson Steven, Iyanaga Nobumi. 26. Sekiguchi Makiko, Shugendō kyōdan seiritsu-shi : Tōzan-ha wo tōshite [L'histoire de la formation de la communauté de shugendō : vue à travers le cas de la branche Tōzan-ha], 2009. In: Cahiers d'Extrême-Asie, vol. 17, 2008. Studies in Chinese Art History — Études sur l'histoire de l'art chinois. En hommage à Lothar Ledderose. p. 366
Optimizing the electrodiagnostic accuracy in Guillain-Barré syndrome subtypes: Criteria sets and sparse linear discriminant analysis
No full textObjective To optimize the electrodiagnosis of Guillain-Barré syndrome (GBS) subtypes at first study. Methods The reference electrodiagnosis was obtained in 53 demyelinating and 45 axonal GBS patients on the basis of two serial studies and results of anti-ganglioside antibodies assay. We retrospectively employed sparse linear discriminant analysis (LDA), two existing electrodiagnostic criteria sets (Hadden et al., 1998; Rajabally et al., 2015) and one we propose that additionally evaluates duration of motor responses, sural sparing pattern and defines reversible conduction failure (RCF) in motor and sensory nerves at second study. Results At first study the misclassification error rates, compared to reference diagnoses, were: 15.3% for sparse LDA, 30% for our criteria, 45% for Rajabally's and 48% for Hadden's. Sparse LDA identified seven most powerful electrophysiological variables differentiating demyelinating and axonal subtypes and assigned to each patient the diagnostic probability of belonging to either subtype. At second study 46.6% of axonal GBS patients showed RCF in two motor and 8.8% in two sensory nerves. Conclusions Based on a single study, sparse LDA showed the highest diagnostic accuracy. RCF is present in a considerable percentage of axonal patients. Significance Sparse LDA, a supervised statistical method of classification, should be introduced in the electrodiagnostic practice
Parallel implementation of stochastic simulation for large-scale cellular processes
No full textExperimental and theoretical studies have shown the importance of stochastic processes in genetic regulatory networks and cellular processes. Cellular networks and genetic circuits often involve small numbers of key proteins such as transcriptional factors and signaling proteins. In recent years stochastic models have been used successfully for studying noise in biological pathways, and stochastic modelling of biological systems has become a very important research field in computational biology. One of the challenge problems in this field is the reduction of the huge computing time in stochastic simulations. Based on the system of the mitogen-activated protein kinase cascade that is activated by epidermal growth factor, this work give a parallel implementation by using OpenMP and parallelism across the simulation. Special attention is paid to the independence of the generated random numbers in parallel computing, that is a key criterion for the success of stochastic simulations. Numerical results indicate that parallel computers can be used as an efficient tool for simulating the dynamics of large-scale genetic regulatory networks and cellular processes
sj-pdf-1-etp-10.1177_10422587221104820 – Supplemental Material for Act or Wait-and-See? Adversity, Agility, and Entrepreneur Wellbeing across Countries during the COVID-19 Pandemic
No full textSupplemental Material, sj-pdf-1-etp-10.1177_10422587221104820 for Act or Wait-and-See? Adversity, Agility, and Entrepreneur Wellbeing across Countries during the COVID-19 Pandemic by Ute Stephan, Przemysław Zbierowski, Ana Pérez-Luño¸ Dominika Wach, Johan Wiklund, Marisleidy Alba Cabañas, Edgard Barki, Alexandre Benzari, Claudia Bernhard-Oettel, Janet A. Boekhorst, Arobindu Dash, Adnan Efendic, Constanze Eib, Pierre-Jean Hanard, Tatiana Iakovleva, Satoshi Kawakatsu, Saddam Khalid, Michael Leatherbee, Jun Li, Sharon Parker, Jingjing Qu, Francesco Rosati, Sreevas Sahasranamam, Marcus A. Y. Salusse, Tomoki Sekiguchi, Nicola Thomas, Olivier Torrès, Mi H. Tran, Mary Katherine Ward, Amanda Williamson and Muhammad Mohsin Zahid in Entrepreneurship Theory and Practice</p
A successful model of regional healthcare information exchange in Japan: Case Study in Kagawa Prefecture
No full textIn this study, we focused on analysis of healthcare data exchange over the network. For the advance of broadband capability development, many governments expect online medical information exchange between medical institutions. Japanese government also has tried to deploy ICT in the healthcare field. In Japan, many healthcare ICT projects started, but almost of all the projects face many issues and failed to continue. This situation caused us to clarify the success factor of healthcare information exchange network. For inspecting the success factors, we analyzed information access of healthcare systems in Kagawa prefecture of Japan. Kagawa prefecture is one of the most advance areas for healthcare information technology. We analyzed four medical ICT projects in Kagawa prefecture: K-MIX, Critical Pathway for Diabetes, E-prescription, and PHR. In addition, we inspected characteristics of exchanged data in the network, and stakeholder involved in these projects. This analysis lets us find various types of healthcare ICT projects. Characteristic of data processed in the projects caused differences of characteristic of the projects. On the other hand, multiple systems process same data, though the project does not share the data itself. Considering various types of medical information exchanges projects, we propose classification and standard format of exchanged data according to their characteristic are critical for efficient business deployment. --e-Health,regional healthcare information exchange,EHR
Analysis for science librarians of the 2015 Nobel Prize in Physiology or Medicine: the life and work of William C. Campbell, Satoshi Ōmura, and Youyou Tu
No full textParasites affect humans worldwide with varying degrees of seriousness. Some of the most impactful parasitic infections affect millions of people, many of whom are already impoverished and struggling. The discoveries of the 2015 Nobel Laureates in Physiology of Medicine have changed the way some of these serious parasitic infections are treated, saving and improving the lives of countless people. These Laureates are William C. Campbell, Satoshi Ōmura, and Youyou Tu
Adelencyrtus odonaspidis Fullaway 1913
No full textAdelencyrtus odonaspidis Fullaway, 1913 Comments. The Japanese record is based on BURKS (1958), but this author did not state which material was examined or where the information originated.Published as part of Japoshvili, George, Higashiura, Yoshimitsu & Kamitani, Satoshi, 2016, A review of Japanese Encyrtidae (Hymenoptera), with descriptions of new species, new records and comments on the types described by Japanese authors, pp. 345-401 in Acta Entomologica Musei Nationalis Pragae 56 (1) on page 395, DOI: 10.5281/zenodo.530683
Electrodiagnostic accuracy in polyneuropathies: supervised learning algorithms as a tool for practitioners
No full textThe interpretation of electrophysiological findings may lead to misdiagnosis in polyneuropathies. We investigated the electrodiagnostic accuracy of three supervised learning algorithms (SLAs): shrinkage discriminant analysis, multinomial logistic regression, and support vector machine (SVM), and three expert and three trainee neurophysiologists
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