Search

Abstract Background Major disruptions and changes in education have occurred worldwide as a result of the coronavirus disease (COVID-19) pandemic and the ensuing shift from in-person to online education. However, the effect of such changes on medical education, its magnitude, and the learning domains impacted by such rapid changes have not been adequately addressed, particularly with regard to objective assessment approaches. Methods Second-year medical students enrolled in our Medical English Course between 2019 and 2021 were recruited from Hokkaido University, Japan (N = 321) to participate in this study. We evaluated the potential impact of teaching styles on the academic performance of students before (2019; face-to-face) and during (2020; online; 2021; in-person and online) the pandemic. We examined the potential effect of three teaching styles––in-person (2019), online (2020), and a combination of these (2021) on the academic performance of medical students using: (i) subjective assessment of self-reported general English skills, including reading, writing, listening, and speaking; and (ii) objective assessment of medical terminology scores, evidence-based medicine (EBM) skills, and final written exam scores. Results In-person education significantly improved listening and speaking skills in 2019 (p

Despite there being several studies about customers' e-complaints in hotels and other tourism businesses, little research has focused on the spa business and service quality. In particular, there is very limited literature investigating the subjective and objective assessments of service quality in hospitality and tourism research. This study, therefore, aims to examine the subjective and objective assessments of service quality through spa customers' e-complaints in Bangkok. Content analysis and descriptive statistics were employed to analyze the data collected from a secondary source. The findings revealed that most e-complaints (53%) involved the subjective assessment of service quality reflecting customers' personal feelings, and the remainder (47%) involved the objective assessment based on factual information. The study has conceptualized the subjective and objective assessments of spa service quality in regard to how customers complained about spa services. The findings not only assist spa businesses in acquiring a more thorough understanding of their service quality problems through customer complaints, but also support service improvements. The study contributes to the literature by offering another perspective and a better understanding of service quality assessment. [ABSTRACT FROM AUTHOR]

Objective: Mandibular third molar extractions are important in oral maxillofacial surgery. Damage to the lingual nerves, although rare, is a possible complication. There are reports of postoperative recovery after lingual nerve repair, but few reports have compared subjective and objective assessments of neurosensory function. Therefore, this study aims to compare subjective and objective assessments of neurosensory function after lingual nerve repair.Subjects and Methods: This retrospective cohort study comprised 52 patients with lingual nerve anesthesia after third molar extraction at the Department of Oral and Maxillofacial Surgery, Wakayama Medical University Hospital, Wakayama, Japan, between December 2008 and December 2015. We recorded pre- and postoperative (6 months and 12 months) neurosensory examinations.Results: Patient's subjective assessments of neurosensory function suggested improvement between the preoperative period and 12 months postoperation, although this difference was not significant. Objective assessment based on examination and testing, on the other hand, showed a significant difference in improvement (p < 0.05).Conclusions: There was no evidence that improvement of subjective preoperative and postoperative assessments was significantly associated with improvement of objective neurosensory assessments after lingual nerve repair. Overall physical condition and background were thought to affect subjective evaluation. Subjective assessment is important in conjunction with objective evaluation because it may reveal dysesthesia that would otherwise be missed. In the future, we will examine those cases in whom subjective assessments showed no improvement although objective assessments showed improvement. [ABSTRACT FROM AUTHOR]

Highlights • Discussion of working definition of social withdrawal in neuropsychiatric diseases. • Selection of subjective and objective rating scales for assessing social withdrawal in specific neuropsychiatric diseases. • Selection of MRI and EEG paradigms for studying brain circuitry and mechanisms involved in social withdrawal. • Selection of complementing behavioral paradigms and addition of a digital phenotyping tool. Abstract Social withdrawal is one of the first and common signs of early social dysfunction in a number of important neuropsychiatric disorders, likely because of the enormous amount and complexity of brain processes required to initiate and maintain social relationships (Adolphs, 2009). The Psychiatric Ratings using Intermediate Stratified Markers (PRISM) project focusses on the shared and unique neurobiological basis of social withdrawal in schizophrenia, Alzheimer and depression. In this paper, we discuss the working definition of social withdrawal for this study and the selection of objective and subjective rating scales to assess social withdrawal chosen or adapted for this project. We also discuss the MRI and EEG paradigms selected to study the systems and neural circuitry thought to underlie social functioning and more particularly to be involved in social withdrawal in humans, such as the social perception and the social affiliation networks. A number of behavioral paradigms were selected to assess complementary aspects of social cognition. Also, a digital phenotyping method (a smartphone application) was chosen to obtain real-life data. [ABSTRACT FROM AUTHOR]

Noise reduction or denoising is required for visual improvement or as a preprocessing step for subsequent processing tasks, such as image compression and analysis. Therefore, denoising has become a highly desirable and essential process in multimedia applications. The aim of all denoising processes, especially in natural images, is to uncover the true image from the observed noisy image, ideally removing the additive white Gaussian noise (AWGN) while producing a sharp, useful image without losing finer details. Generally, most of the noise obtained during acquisition and transmission of the natural images is assumed to be AWGN. In this study, we propose a new adaptive denoising framework based on second-generation wavelet domain using hidden Markov models (SGWD-HMMs) with some new local structure, utilizing the fact that the images are nonstationary with singularities and some smooth areas that can be considered as stationary. The dependencies among wavelet coefficients can be efficiently captured by HMMs since the dependence between two wavelet coefficients dies down quickly as their distance becomes big. Quite remarkably, experimental results verify the effectiveness of SGWD-HMMs in benchmark images when compared with other state-of-the-art denoising algorithms. It gives competitive results in the subjective and objective assessments, but it is computationally more expensive. © 2016 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc. [ABSTRACT FROM AUTHOR]