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Magnetic properties of M-type strontium ferrites with different heat treatment conditions

Rare Metals 2020年第1期39卷 84-88页

作者： Namji Oh seungyeon park Yongwan Kim Hyukmin Kwon Sangsub Kim Kyoungmook Lim Korea Institute of Industrial Technology Incheon21999Republic of Korea Ugimag Korea Cheongju27655Republic of Korea Department of Materials Science and Engineering Inha UniversityIncheon22212Republic of Korea

The effects of heat treatment conditions on the magnetic properties and microstructure of M-type strontium ferrite according to calcination temperature were *** ferrite Sr0.06Ca0.52La0.52Fe11.68Co0.22O19magnetic powder was prepared by a standard ceramic *** experiments,the calcination temperature was varied from 1180 to 1260℃,and sintering temperature was *** the M-phase(SrFe12O19)existed with hematite(Fe2 O3)in the powder calcined at below 1220℃,the pure M-phase was observed in the powder calcined at over1240℃.With an increase in the calcination temperature,the magnetization of the calcined powder increases,meanwhile,the coercivity *** magnetization is improved by decreasing the lattice constant c and activating the Fe3+-OFe3+superexchange interaction,and the coercivity decreases by the large particle sizes due to the grain growth.

关键词： M-type ferrites Standard ceramic process Phase analysis Superexchange Permanent magnet

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Grasping Force Estimation by sEMG Signals and Arm Posture: Tensor Decomposition Approach

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Journal of Bionic Engineering 2019年第3期16卷 455-467页

作者： Sanghyun Kim Joowan Kim Mingon Kim seungyeon Kim Jaeheung park Department of Transdisciplinary Studies Seoul National University Suwon 16229 Korea Advanced Institutes of Convergence Technology Suwon 16229 Korea

Grasping force estimation using surface Electromyography (sEMG) has been actively investigated as it can increase the manipulability and dexterity of prosthetic hands and robotic hands. Most of the current studies in this area only focus on finding the relationship between sEMG signals and the grasping force without considering the arm posture. Therefore, regression models are not suitable to predict grasping force in various arm postures. In this paper, a method to predict the grasping force from sEMG signals and various grasping postures is developed. The proposed algorithm uses a tensor algebra to train a multi-factor model relevant to sEMG signals corresponding to various grasping forces and postures of the wrist and forearm in multiple dimensions. The multi-factor model is then decomposed into four independent factor spaces of the grasping force, sEMG signals, wrist posture, and forearm posture. Moreover, when a participant executes a new posture, new factors for the wrist and forearm are interpolated in the factor spaces. Thus, the grasping force with various postures can be predicted by combining these factors. The effectiveness of the proposed method is verified through experiments with ten healthy subjects, demonstrating the higher performance of proposed grasping force prediction method than the previous algorithm.

关键词： surface Electromyography (sEMG) grasping force force estimation tensor decomposition

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Clinical validation of scoring systems of postoperative pancreatic fistula after pancreatoduodenectomy: applicability to Eastern cohorts?

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Hepatobiliary Surgery and Nutrition 2019年第3期8卷 211-218页

作者： Jae Seung Kang Taesung park Youngmin Han seungyeon Lee Jae Ri Kim Hongbeom Kim Wooil Kwon Sun-Whe Kim Jin Seok Heo Seong Ho Choi Dong Wook Choi Song Cheol Kim Tae Ho Hong Dong Sup Yoon Joon Seong park Sang Jae park Sung-Sik Han Sae-Byeol Choi Joo Seop Kim Chang-Sup Lim Jin-Young Jang Department of Surgery and Cancer Research Institute Seoul National University College of MedicineSeoulRepublic of Korea Department of Statistics and Interdisciplinary Program in Biostatistics Seoul National UniversitySeoulRepublic of Korea Department of Mathematics and Statistics Sejung UniversitySeoulRepublic of Korea Department of Surgery Samsung Medical CenterSungkyunkwan University School of MedicineSeoulRepublic of Korea Division of Hepatobiliary and Pancreatic Surgery Department of SurgeryUlsan University College of Medicine and Asan Medical CenterSeoulRepublic of Korea Department of Surgery Seoul St.Mary’s HospitalThe Catholic University of KoreaCollege of MedicineSeoulRepublic of Korea Pancreatobiliary Cancer Clinic Department of SurgeryGangnam Severance HospitalYonsei University College of MedicineSeoulRepublic of Korea Center for Liver Cancer National Cancer CenterGyeonggidoRepublic of Korea Department of Surgery Korea University Guro HospitalKorea University College of MedicineSeoulRepublic of Korea Department of Surgery Kangdong Sacred Heart HospitalHallym University College of MedicineSeoulRepublic of Korea Department of Surgery Seoul Metropolitan Government-Seoul National University Boramae Medical CenterSeoul National University College of MedicineSeoulRepublic of Korea

Background:Although several prediction models for the occurrence of postoperative pancreatic fistula(POPF)after pancreatoduodenectomy(PD)exist,all were established using Western ***-scale external validation studies in Eastern cohorts that consider demographic variables including lower body mass index(BMI)are *** purpose of this study was to externally validate POPF prediction models using nationwide large-scale Korean ***:Nine tertiary university hospitals in the Republic of Korea ***'preoperative characteristics,intraoperative factors,and pathologic findings were *** grades were determined according to the 2016 International Study Group on Pancreatic Surgery *** POPF risk models(Callery,Roberts,and Mungroop)were selected for external ***:A total of 1,898 PD patients were enrolled.A non-pancreatic disease diagnosis[hazard ratio(HR),1.856;95%confidence interval(CI),1.223–2.817;P=0.004),higher preoperative BMI(HR,1.069;95%CI,1.019–1.121;P=0.006),and soft pancreatic texture(HR,1.859;95%CI,1.264–2.735;P=0.002)were independent risk factors for clinically relevant POPF(CR-POPF).The area under the receiver operating characteristic curve(AUC)values were 0.61,0.64,and 0.63 on the Callery,Roberts,and Mungroop models,respectively;all were lower than those published in each external validation ***:Western POPF prediction models performed less well when applied to Korean ***,a large-scale Eastern-specific and externally validated POPF prediction model is needed.

关键词： Pancreatic fistula pancreatoduodenectomy(PD) predictive score

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