Results 31 to 40 of about 124,137 (294)
Objectives: Malnutrition and sarcopenia often co-exist in older patients. This condition, called co-MS, shows a worse prognosis than either condition alone but is often overlooked and undertreated.
Noriko Bando +11 more
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Socio-demographic characteristics of the study participants (n = 669). [PDF]
Socio-demographic characteristics of the study participants (n = 669).
Temesgen Anjulo Ageru (7480730) +9 more
core +1 more source
Behavioral characteristics of the study participants (n = 669). [PDF]
Behavioral characteristics of the study participants (n = 669).
Temesgen Anjulo Ageru (7480730) +9 more
core +1 more source
Iwao Seiichi, Iyanaga Teizō, Ishii Susumu, Yoshida Shōichirō, Fujimura Jun'ichirō, Fujimura Michio, Yoshikawa Itsuji, Akiyama Terukazu, Iyanaga Shōkichi, Matsubara Hideichi. 669. Koseki. In: Dictionnaire historique du Japon, volume 13, 1987. Lettre K (3)
Iwao, Seiichi +9 more
core +2 more sources
2-Methylcyclopropane pyrethroid insecticides bearing chiral cyanohydrin esters or chiral ethers and two asymmetric centers on the cyclopropane ring, were synthesized.
Takashi Taniguchi +4 more
doaj +1 more source
Background: Renal infarction is an extremely rare disease. Although more than 95% of cases are symptomatic, there have been no previously reported asymptomatic cases, without any abnormal blood and urine test findings.
Mariko Mizusugi, Tsuneaki Kenzaka
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Prototype of an Ankle Neurorehabilitation System with Heuristic BCI Using Simplified Fuzzy Reasoning
Neurorehabilitation using a brain−computer interface (BCI) requires machine learning, for which calculations take a long time, even days. However, the demands of actual rehabilitation are becoming increasingly rigorous, requiring that processes be ...
Norihiko Saga +5 more
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Forecasting High-Dimensional Covariance Matrices Using High-Dimensional Principal Component Analysis
We modify the recently proposed forecasting model of high-dimensional covariance matrices (HDCM) of asset returns using high-dimensional principal component analysis (PCA).
Hideto Shigemoto, Takayuki Morimoto
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A facile novel green methodology is presented for the synthesis of highly stable and well-dispersed copper oxide nanoparticles using aqueous wheat seed extract.
Buazar Foad +3 more
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