The COVID-19 pandemic has significantly impacted on the working system, shifting working from office (WFO) into working from home (WFH) practice that requires employees to be skillful in using technology to support their work activities. However, this condition can affect job performance. This study aims to analyze the impact of ICT anxiety and smartphone addiction on job performance of all lecturers at NIPA School of Administration (Jakarta, Bandung, and Makassar). This study applied a quantitative method with a total sampling technique and conducted a survey on 135 respondents using an online questionnaire. Furthermore, this study employed job demands and resources theory as well as PLS-SEM to analyze five variables (ICT anxiety, smartphone addiction, interruption, job efficacy, and job performance) and to test seven hypotheses. The findings show that there is a positive relationship between ICT anxiety and interruption while interruption has negative influences on job efficacy and job performance. Therefore, this study recommends the facilitation of knowledge sharing related to ICT competence or literacy. In addition, NIPA should improve the security guarantees of the intellectual rights of the lecturers in relation to the choice of technology and integrate the demands of ICT needs with administrative-technical procedures.
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http://dx.doi.org/10.1016/j.heliyon.2022.e11980 | DOI Listing |
Am J Geriatr Psychiatry
December 2024
Department of Neurology (EMB, DAL, NG, DBZ, LBM), University of Michigan Medical School, Ann Arbor, MI; School of Public Health (RM, LBM), University of Michigan, Ann Arbor, MI.
Objectives: It is unknown whether cognitive test scores are equivalently associated with informant-rated cognitive decline across culturally and linguistically diverse older adults. We examined the association between cognitive domain scores on the Harmonized Cognitive Assessment Protocol (HCAP) and informant-rated cognitive decline in a harmonized population-based sample of older adults.
Design, Setting, And Participants: We combined data from the HCAP sub-study of the Health and Retirement Study (HRS; 2016) and the Brain Attack Surveillance in Corpus Christi-Cognitive (BASIC-C; 2018-2020) study.
Acad Radiol
January 2025
Department of Radiology and Nuclear Medicine, German Heart Center Munich, Lazarettstraße 36, 80636 Munich, Germany (K.K.B.).
Rationale And Objectives: Training Convolutional Neural Networks (CNN) requires large datasets with labeled data, which can be very labor-intensive to prepare. Radiology reports contain a lot of potentially useful information for such tasks. However, they are often unstructured and cannot be directly used for training.
View Article and Find Full Text PDFAcad Radiol
January 2025
Imaging Center, Harbin Medical University Cancer Hospital, Haping Road No.150, Nangang District, Harbin 150081, China (Q-X.C., L-Q.Z., X-Y.W., H-X.Z., J-J.L., M-C.X., H-Y.S., Z-X.K.). Electronic address:
Rationale And Objectives: To propose a novel MRI-based hyper-fused radiomic approach to predict pathologic complete response (pCR) to neoadjuvant therapy (NAT) in breast cancer (BC).
Materials And Methods: Pretreatment dynamic contrast-enhanced (DCE) MRI and ultra-multi-b-value (UMB) diffusion-weighted imaging (DWI) data were acquired in BC patients who received NAT followed by surgery at two centers. Hyper-fused radiomic features (RFs) and conventional RFs were extracted from DCE-MRI or UMB-DWI.
J Pediatr Urol
December 2024
Department of Urology, University of Iowa, Iowa City, IA, 52242, USA. Electronic address:
Introduction: Prior analysis of children with grade 3 and 4 congenital hydronephrosis demonstrated that renal medullary pyramidal thickness (PT) is predictive of subsequent pyeloplasty (area under the curve [AUC] = 0.78). The objective of this study was to further analyze the utility of sonographic measurements including PT, anteroposterior pelvic diameter (APD), and renal length with an expansion of the number of infants with hydronephrotic kidneys including grades 2, 3, and 4 hydronephrosis.
View Article and Find Full Text PDFISA Trans
December 2024
Robotic Research Laboratory, Centre of Excellence in Experimental Solid Mechanics and Dynamics, School of Mechanical Engineering, Iran University of Science and Technology, Tehran 16846-13114, Iran.
In this paper, trajectory tracking control as the pursuit of a specific target by wheel-legged mobile robots (WLMRs) in an environment with the presence of obstacles is presented. These types of robots are designed to navigate different paths such as slippery trajectories, paths with obstacles, and other challenging paths. In addition, the robot can move its legs in different surface conditions and operate more flexibly with the help of wheels attached to the legs.
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