Abstract Background Single mothers in South Korea face postpartum challenges that may hinder maternal role development and identity formation. This study aimed to develop SMILE-MOM (Single Moms in the Metaverse for Interaction, Learning, and Encouragement), a metaverse-based support program to assist their transition to motherhood. Methods This methodological study employed the first three stages of the Analysis, Design, Development, Implementation, and Evaluation model to develop the program. The analysis phase was informed by an integrative literature review and individual interviews. In the design phase, a theoretical framework guided the creation of program content and the metaverse platform. In the development phase, experts assessed content validity and usability using the Content Validity Index (CVI) and System Usability Scale (SUS), respectively. The final program was refined based on expert feedback. Results SMILE-MOM was designed as a 4-week program comprising weekly small-group sessions covering key topics, including maternal preparation and postpartum recovery, infant illness and safety, parenting strategies, and emotional well-being. Each session included hands-on practice activities, such as scenario-based online games, to enhance engagement and facilitate practical learning. The finalized program also included supplementary support services, such as information provision, consultation, and promotion of postpartum exercise, which were embedded within the platform design. The program met content validity (CVI > 0.8) and system usability (SUS = 85.6) standards and was revised based on expert feedback. Conclusions This theory-based program supports single mothers in their transition to motherhood through immersive and interactive learning. Although it may enhance maternal role confidence and identity, further evaluation is needed.
Justice Stephen Tetteh Zotorvie, James Dickson Fiagborlo, Edward Sedzro
Research Questions: What has been the trend and development in research publications concerning Accounting Information Systems (AIS) over the past decade? Which authors, countries, and scholarly journals have made significant contributions to the body of AIS literature? What are the key thematic trends and shifts within the literature on AIS, and what are the emerging research opportunities in the evolving field of AIS?
Motivation: Research shows that although there has been significant growth in the body of literature focusing on AIS, a comprehensive analysis of the literature surrounding this critical domain is limited. This research aims to provide valuable insights into current trends, guide future research agendas, and contribute to the advancement of scholarship and practice in AIS.
Data: Data for the current research were collected from 1760 articles published in Scopus databases.
Tools: The VOSviewer software tool was used to perform the graphical analysis of the sample’s bibliometric data.
Findings: This research reveals a notable surge in publications, with the number of publications reaching an unprecedented peak in 2020. Research regarding AISs over the years relates to accounting, cost, and decision-making. However, there is a shift within the AIS literature towards blockchain, data analytics, artificial intelligence, digitalization, and sustainability issues.
Practical implications: By identifying influential publications, authors, and emerging topics, the study can guide researchers in prioritizing research agendas and collaborations while also assisting practitioners in understanding the latest developments in AIS theory and practice. Additionally, the results can assist policymakers in tailoring policies and regulations that align with the specific needs and challenges faced by different industries about AIS.
Raden Roro Widya Ningtyas Soeprajitno, Ainun Na’im, Indra Wijaya Kusuma
et al.
This study investigates the effect of companies’ sustainability performance on their future earnings management. Applying moral licensing theory, we predict that sustainability performance decreases accruals, while increases real earnings management. We analyse a dataset comprising of 47,186 firm-year observations from 44 countries during 2002–2021. We use a two-stage Heckman approach to address potential endogeneity and conduct supplementary fixed-effects regression tests for separate periods of before-after crisis and regulatory effectiveness, quality and enforcement. Our findings suggest that firms with superior sustainability performance have an impact on decreased (increased) accrual-based (real) earnings management. We also found a greater impact of sustainability initiatives by companies in countries with lower regulatory effectiveness, lower regulatory quality standards, and mandatory government regulation. This study is the first in encompassing SDGs practices through advanced testing, analysis and offering insights into the implications of government regulation on management decisions on earnings. Our research provides practical contributions for policymakers to evaluate ongoing efforts and development of corporate ESG-related policies as well as investors in using earnings information.
Demartoto Argyo, Murti Bhisma, Hilmi Pujihartati Sri
HIV/AIDS preventing and overcoming attempts keep developing and adaptive to technology development. Information digitization era supports the innovation potentially optimizing healthcare service including HIV/AIDS preventing and overcoming attempts for people in Surakarta. Healthcare Service Work and Care Support and Treatment (CST) Group as one out of 6 work groups established by Surakarta City Government is also affected by information digitization. In addition to opportunities, CST healthcare digitization also generates challenges to both medical workers and patients. This research aims to explore challenges and opportunities in digital-based CST implementation for people with HIV/AIDS (PWHA) using Parsons’ modernization theory. Informant of research consisted of Surakarta City’s Health Service Office, medical workers, nurses, administrative staffs, patients, NGO Caring for AIDS, Peer Support Group, and Citizens caring for AIDS. Data were collected through observation, in-depth interview, and documentation. Data analysis was carried out by applying an interactive model through data collection, data reduction, data display, and conclusion drawing. Data validity test used in this study was data source triangulation. The result shows that digital-based CST provides opportunities and challenges in the attempt of preventing and overcoming HIV/AIDS in Surakarta City. CST digitization potentially improves the qualities of healthcare, promotive, preventive, curative, and rehabilitative services and reduces bad stigma, but the challenges include poor understanding of human resource, limited internet access, and inadequate equipment availability.
Elevators have become an integral part of modern buildings, and technological advances have enabled the monitoring of their operational status through sensor technology. In response to the development of the elevator industry and the need for practical elevator operation risk evaluation, this paper proposes an elevator risk evaluation method based on fuzzy theory and machine learning methods. The method begins by establishing an elevator operation risk evaluation index system. The traditional fuzzy comprehensive evaluation method is then employed to evaluate the risk levels of the 50 elevators studied. The collected index data and labels (fuzzy comprehensive evaluation results) are used as inputs to train the support vector machine (SVM) model. To optimize the SVM model, the maximum information coefficient method, enhanced by the correlation-based feature selection (MIC-CFS) method, is employed to select features for the index input to the SVM model. The improved gray wolf algorithm (IGWO) method optimizes the SVM. Finally, the model’s performance is verified using new index data. The experimental results demonstrate that introducing machine learning methods for elevator risk evaluation saves time and effort while providing good accuracy compared to the traditional expert evaluation method. The optimization of the SVM model by IGWO and feature selection by the MIC-CFS method results in a more concise SVM model that converges faster during training, exhibits better stability, and achieves higher accuracy.
According to the elastic wave theory combined with the propagation law of shock waves in rock or rock-like media, a slotted pipe wall is assumed to be elastic, irrespective of the attenuation process of detonation and shock waves in the coupling medium. The reflection of detonation and shock waves at the slotted pipe and blasthole walls is also assumed to be positive reflections, and the flow rate and internal energy constantly change with time. The proportional relationship between the peak stress of the hole wall, the range of the crushing area, and the fracture area in the cutting and non-cutting directions was established in this study. Moreover, AUTODYN software was used to establish a slit charge blasting model. Five measuring points were set at equal intervals in slit and non-slit directions. The peak stress, peak blasting vibration velocity, and peak arrival time at the measuring points were analyzed. Thereafter, based on the tunnel blasting test of the Gubei Coal Mine in the Huainan mining area, blasting tests of ordinary charge packs, slit charge packs, and varying peripheral hole spacing were performed. The crack state of the surrounding rock before and after blasting was tested through drilling peeping. Then, a two-dimensional graph of the crack development of the surrounding rock before and after blasting was imported into the customized MATLAB box dimension calculation program for calculation. The results before and after blasting were obtained based on the linear fitting curve and the box-counting dimension of the pixel information matrix of the surrounding image of rock burst cracks after blasting. The influence of the size of the slit charge and the surrounding hole spacing on the damage degree of the surrounding rock was also investigated. The results indicate that when the slit charge is used for blasting, the detonation product jet and stress concentration are produced in the slit direction. Further, the stress peak value and blasting vibration speed in the non-slit direction decline, the energy propagation speed in the non-slit direction decreases, and the energy propagation size in the non-slit direction decreases to achieve the goal of directional fracture. The results of the field test indicate that the degree of damage of the surrounding rock is reduced by >30% after using slit charge blasting compared with ordinary charge blasting. When the slit charge is used for blasting, the degree of damage to the surrounding rock reduces with an increase in the distance between the surrounding holes.
During the Covid-19 pandemic, domestic violence (DV) in India rose exponentially. Therefore, the poor urban households in Kerala with the highest vulnerability call for urgent investigations and remedial actions. In this context, this study explored the problems of adolescents living with DV in deprived families, their risk factors, and protective factors. Based on the information gathered and the suggestions of social work experts, it further developed a framework for a school-based psychosocial rehabilitation (PSR), endorsing the role of school social workers. This study was conducted in a government-aided high school in the suburbs of Kochi. It gathered data from adolescent victims (n=12) of DV, their mothers (n=12), teachers (n=7), peers (n=30), and school counselor (n=1), subscribing to a generic qualitative inquiry. A theoretical thematic analysis was adopted for analyzing and drawing conclusions from the data. We recommend the PSR framework developed in the light of social support theory for testing and refining.
Social pathology. Social and public welfare. Criminology
Nonlinear processes are involved in both the growth of VLF chorus waves and the energization of radiation belt electrons trapped in the wave potential. Nonlinear theory has led to analytic formulae describing both these processes. To investigate these processes, observations from the Van Allen Probes twin spacecraft provide simultaneous in situ information on VLF chorus waves, radiation belt and injected electrons, and local plasma parameters. We combine the theoretical treatment summarized by Omura (2021) with these in situ observations to investigate the characteristics and effects of nonlinear radiation belt processes at the off-equatorial location of the spacecraft observations. We show the smooth phase transition between initial subpackets of chorus wave elements, conducive to extended trapping and enhancement of resonant electrons. The structure of the chorus wave element changes as it propagates away from the equator. Frequency dispersion due to the variation of parallel wave group velocity with frequency contributes to the chorus waveform frequency sweep rate observed at an off-equatorial location. Nonlinear damping at the local value of ½ fce progressively erodes wave amplitude at frequencies above ½ fceEQ. We examine the important dependencies of the nonlinear inhomogeneity factor on the time rate of change of the wave frequency and the field-aligned gradient of the magnetic field and discuss their implication for the energization of trapped non-relativistic and MeV electrons. The 0.5–2% energy gain we find for 3–6 MeV seed electrons indicates that prompt local acceleration of highly relativistic and ultra-relativistic radiation belt electrons can take place directly through their nonlinear interaction with an individual VLF chorus wave element.
Abstract Neurorehabilitation in patients suffering from motor deficits relies on relearning or re-adapting motor skills. Yet our understanding of motor learning is based mostly on results from one or two-dimensional experimental paradigms with highly confined movements. Since everyday movements are conducted in three-dimensional space, it is important to further our understanding about the effect that gravitational forces or perceptual anisotropy might or might not have on motor learning along all different dimensions relative to the body. Here we test how well existing concepts of motor learning generalize to movements in 3D. We ask how a subject’s variability in movement planning and sensory perception influences motor adaptation along three different body axes. To extract variability and relate it to adaptation rate, we employed a novel hierarchical two-state space model using Bayesian modeling via Hamiltonian Monte Carlo procedures. Our results show that differences in adaptation rate occur between the coronal, sagittal and horizontal planes and can be explained by the Kalman gain, i.e., a statistically optimal solution integrating planning and sensory information weighted by the inverse of their variability. This indicates that optimal integration theory for error correction holds for 3D movements and explains adaptation rate variation between movements in different planes.