Results 201 to 210 of about 7,874,228 (368)

Investigating creativity and learning style preferences in anesthesia students. [PDF]

J Educ Health Promot
Sangi S, Kiaei MM, Saie A, Aligholizadeh M, Dolati A, Aligholizadeh M.   +5 more
europepmc   +1 more source

Learning styles of undergraduate medical students - A cross sectional study using VARK questionnaire

, 2020
Abhishek Das, Anamica Chakraborty, Biswajit Sukul   +2 more
openalex   +1 more source

Unveiling Phonon Contributions to Thermal Conductivity and the Applicability of the Wiedemann—Franz Law in Ruthenium and Tungsten Thin Films

Advanced Functional Materials, EarlyView.
Thermal transport in Ru and W thin films is studied using steady‐state thermoreflectance, ultrafast pump–probe spectroscopy, infrared‐visible spectroscopy, and computations. Significant Lorenz number deviations reveal strong phonon contributions, reaching 45% in Ru and 62% in W.
Md. Rafiqul Islam, Pravin Karna, Niraj Bhatt, Sandip Thakur, Helge Heinrich, Daniel M. Hirt, Saman Zare, Christopher Jezewski, Rinus T.P. Lee, Kandabara Tapily, John T. Gaskins, Colin D. Landon, Sean W. King, Ashutosh Giri, Patrick E. Hopkins   +14 more
wiley   +1 more source

Assessing individual learning styles of undergraduate medical students utilizing Kolb's learning style inventory. [PDF]

Pak J Med Sci
Zareen N, Rashid F, Alvi T, Sajid RF.
europepmc   +1 more source

Steep‐Switching Memory FET for Noise‐Resistant Reservoir Computing System

Advanced Functional Materials, EarlyView.
We demonstrate the steep‐switching memory FET with CuInP2S6/h‐BN/α‐In2Se3 heterostructure for application in noise‐resistant reservoir computing systems. The proposed device achieves steep switching characteristics (SSPGM = 19 mV/dec and SSERS = 23 mV/dec) through stabilization between CuInP2S6 and h‐BN.
Seongkweon Kang, Jaerok Kim, Sang‐Min Lee, Sungpyo Baek, Saeroonter Oh, Yoonmyung Lee, Sungjoo Lee   +6 more
wiley   +1 more source

Learning Style Preference and Its Correlation with Gender. [PDF]

Niger Med J
Buowari DY, Joe AI, Erekosima I.
europepmc   +1 more source

Electroactive Metal–Organic Frameworks for Electrocatalysis

Advanced Functional Materials, EarlyView.
Electrocatalysis is crucial in sustainable energy conversion as it enables efficient chemical transformations. The review discusses how metal–organic frameworks can revolutionize this field by offering tailorable structures and active site tunability, enabling efficient and selective electrocatalytic processes.
Irena Senkovska, Yutong Luo, Ruyan Zhao, Jianjun Zhang, Mingchao Wang, Xinliang Feng, Eike Brunner, Stefan Kaskel   +7 more
wiley   +1 more source

Does learning style influence performance in objective structured clinical examinations? [PDF]

BMC Med Educ
Ezanno AC, Pirot F, Lavolé J, Gall GL, Mestiri R, Delattre C, Le Burel S, Le Mener S, Gominet M, Ficko C, Nielly H.   +10 more
europepmc   +1 more source

Ensemble Learning Using Fuzzy Weights to Improve Learning Style Identification for Adapted Instructional Routines. [PDF]

Entropy (Basel), 2020
Troussas C, Krouska A, Sgouropoulou C, Voyiatzis I.   +3 more
europepmc   +1 more source

Identification of learning style preferences among first year MBBS students using VARK questionnaire

Muralidhar Reddy Sangam, Bitopan Kalita, Krishnan Srinivasan   +2 more
openalex   +2 more sources