Institution
Waseda University
Education•Tokyo, Japan•
About: Waseda University is a education organization based out in Tokyo, Japan. It is known for research contribution in the topics: Large Hadron Collider & Catalysis. The organization has 24220 authors who have published 46859 publications receiving 837855 citations. The organization is also known as: Waseda daigaku & Sōdai.
Topics: Large Hadron Collider, Catalysis, Population, Robot, Humanoid robot
Papers published on a yearly basis
Papers
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TL;DR: In this article, a search for new phenomena in final states with an energetic jet and large missing transverse momentum was performed using 20.3 fb(-1) of root s = 8 TeV data collected in 2012.
Abstract: Results of a search for new phenomena in final states with an energetic jet and large missing transverse momentum are reported. The search uses 20.3 fb(-1) of root s = 8 TeV data collected in 2012 ...
414 citations
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Centre for Mental Health1, Swansea University2, University of Sydney3, University of Manchester4, Griffith University5, University College Cork6, Stellenbosch University7, Sao Paulo State University8, University of Zagreb9, University of Rochester Medical Center10, University of Udine11, National Taiwan University12, Innsbruck Medical University13, Yale University14, Australian National University15, Johns Hopkins University16, Brigham and Women's Hospital17, University of Auckland18, Hobart Corporation19, Columbia University Medical Center20, University of Oxford21, National Institute for Health Research22, Aga Khan University23, Katholieke Universiteit Leuven24, University of Bristol25, University of Peradeniya26, World Health Organization27, Karolinska Institutet28, First Pavlov State Medical University of St. Peterburg29, Medical University of Vienna30, University of Nottingham31, University of Glasgow32, University of Edinburgh33, Shanghai Jiao Tong University34, Columbia University35, University of Ulm36, University of Oslo37, Goethe University Frankfurt38, Saint Petersburg State University39, Sunnybrook Health Sciences Centre40, University of Toronto41, Waseda University42, Rajarata University of Sri Lanka43, Tel Aviv University44, University Hospitals Bristol NHS Foundation Trust45
TL;DR: In this article, the early effect of the COVID-19 pandemic on suicide rates around the world was assessed using real-time suicide data from countries or areas within countries through a systematic internet search and recourse to our networks and the published literature.
413 citations
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TL;DR: The relationship between calf circumference and muscle mass is examined and the suitability of calf circumference as a surrogate marker of muscle mass for the diagnosis of sarcopenia among middle‐aged and older Japanese men and women is evaluated.
Abstract: Aim
To examine the relationship between calf circumference and muscle mass, and to evaluate the suitability of calf circumference as a surrogate marker of muscle mass for the diagnosis of sarcopenia among middle-aged and older Japanese men and women.
Methods
A total of 526 adults aged 40–89 years participated in the present cross-sectional study. The maximum calf circumference was measured in a standing position. Appendicular skeletal muscle mass was measured using dual-energy X-ray absorptiometry, and the skeletal muscle index was calculated as appendicular skeletal muscle mass divided by the square of the height (kg/m2). The cut-off values for sarcopenia were defined as a skeletal muscle index of less than −2 standard deviations of the mean value for Japanese young adults, as defined previously.
Results
Calf circumference was positively correlated with appendicular skeletal muscle (r = 0.81 in men, r = 0.73 in women) and skeletal muscle index (r = 0.80 in men, r = 0.69 in women). In receiver operating characteristic analysis, the optimal calf circumference cut-off values for predicting sarcopenia were 34 cm (sensitivity 88%, specificity 91%) in men and 33 cm (sensitivity 76%, specificity 73%) in women.
Conclusions
Calf circumference was positively correlated with appendicular skeletal muscle mass and skeletal muscle index, and could be used as a surrogate marker of muscle mass for diagnosing sarcopenia. The suggested cut-off values of calf circumference for predicting low muscle mass are <34 cm in men and <33 cm in women. Geriatr Gerontol Int 2015; 15: 969–976.
412 citations
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TL;DR: A load flow calculation method for ill-conditioned power systems is developed, and it is found that the solution does not exist for the 11 and 43 bus systems though the given data are said to be operational, and also that the answer does not converge with the single precision due to the precision deficiency of the computer.
Abstract: In this paper, a load flow calculation method for ill-conditioned power systems is developed. The proposed method is very simple, has no mathematical approximations, and requires almost no additional storage and computation time when incorporated into the normal Newton-Raphson program. Using the method, the load flow solution never diverges, and also the existence of the solution from the initial estimate can be easily judged. To examine the effectivenesst two ill-conditioned power systems, i.e., 11 and 43 bus systems are studied by the method, and it is found that the solution does not exist for the 11 bus system though the given data are said to be operational, and also that the solution does exist for the 43 bus system but does not converge with the single precision due to the precision deficiency of the computer.
411 citations
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TL;DR: In this paper, the Stolwijk model was used to develop a 65-node thermoregulation model with 16 body segments corresponding to the thermal manikin, each consisting of four layers for core, muscle, fat and skin.
410 citations
Authors
Showing all 24378 results
Name | H-index | Papers | Citations |
---|---|---|---|
Yusuke Nakamura | 179 | 2076 | 160313 |
Yoshio Bando | 147 | 1234 | 80883 |
Charles Maguire | 142 | 1197 | 95026 |
Kazunori Kataoka | 138 | 908 | 70412 |
Senta Greene | 134 | 1346 | 90697 |
Intae Yu | 134 | 1372 | 89870 |
Kohei Yorita | 131 | 1389 | 91177 |
Wei Xie | 128 | 1281 | 77097 |
Susumu Kitagawa | 125 | 809 | 69594 |
Leon O. Chua | 122 | 824 | 71612 |
Jun Kataoka | 121 | 603 | 54274 |
S. Youssef | 120 | 683 | 65110 |
Katsuhiko Mikoshiba | 120 | 866 | 62394 |
Yusuke Yamauchi | 117 | 1000 | 51685 |
Teruo Okano | 117 | 476 | 47081 |