24780 research outputs found
Sort by
Increasing collaborative crafting: Leadership training and workspace design
Get PDFJob crafting is a tool used by employees in order to respond to and cope with implemented organizational change. This quasi-experimental study investigated the capacity of a leadership-level intervention to increase collaborative (team) job crafting within an organization that was attempting to mobilize employees and persuade them to embrace changes to their work design. Leaders attended a workshop that was designed to enhance their understanding of collaborative crafting and to facilitate discussion regarding their reactions and approaches to such behaviours. Over two measurement occasions, intervention teams split between teams whose members were collocated (n = 34) and teams whose members were dispersed (n=29) were compared to collocated control teams (n = 23). Multi-level analysis revealed a significant increase in the intervention teams’ collaborative crafting in comparison to the control teams. However, these effects were dependent on whether the team members were collocated. The findings advance job crafting literature by highlighting how leadership understanding of job crafting can directly influence the amount of collaborative crafting their teams exhibit. Secondly, the findings highlight how configurations of the physical workspace influence collaborative behaviours. Given the widespread adoption of new ways of working e.g. remote and hybrid models these findings provide timely insight
Is Romania ready for a female president?’: Motherhood, Nation and Gender in the Performance of Women Presidential Candidates (2024-2025)
Get PDFThis article advances feminist scholarship on gendered political communication by examining motherhood as a strategic trope in presidential campaigns contested by women candidates in Romania. While research has explored the gendered double bind in electoral politics, less attention has been paid to how maternal symbolism operates within post-socialist, inter-imperial contexts. Drawing on a semio-pragmatic analysis of candidates’ Instagram profiles, the study shows how Romanian women politicians mobilised motherhood to reconcile competing demands for femininity and leadership competence. By endorsing the traditional family and conflating familial and national imaginaries, candidates rearticulated conventional feminine traits—care, tenacity, moral rectitude—as markers of political authority. In a polarised political environment, maternal discourses provided strategic flexibility, allowing women to address both male and female electorates while mitigating ethnonationalist anxieties. The article contributes to feminist analyses of digital campaigning, nationalism, and the recalibration of gender norms in contemporary European politics.<br/
Review of A Critical History of Health, Sport and Physical Education: The Three-legged Curriculum in Australia
No full textCognitive profiles of Autism, ADHD, and co-occurring presentations in childhood: insights from an online working memory task
Get PDFAccess to standardized cognitive assessment remains limited in low- and middle- income countries (LMICs), with direct implications for the identification and support of children with neurodevelopmental disorders. Among these, Autism Spectrum Conditions (ASC) and Attention-deficit/hyperactivity disorder ADHD are highly prevalent and frequently co-occurring yet characterized by distinct cognitive profiles. Online assessment methods represent a promising avenue for scalable, cost-effective screening and research. The present study investigated whether a brief online cognitive task could reliably distinguish performance patterns among children and adolescents with ADHD, ASC, both (ASC + ADHD) and a group of typically developing (TD) peers. Children between the ages of 8 and 14 from diverse regions of Mexico completed a brief online working memory task, where they were required to remember either the identity(N = 61) or the emotional expression (N = 99) of a face. Task completion rates were high, demonstrating the feasibility of remote administration (84.6%). Clinical groups showed expected differences relative to TD peers: the ADHD group was distinguished by poorer overall working memory performance and increased intra-subject variability. The ASC group was selectively impaired in the emotion task. This study demonstrates the feasibility of deploying online cognitive tasks in LMIC contexts, providing a scalable approach to developmental research and early identification and referral. Intra-subject variability is a robust marker for ADHD, while careful future work should continue to disentangle overlapping disorders
The lasting impact of the pandemic on children and Child-first practice within a youth justice service
Get PDFThe pandemic shifted operational delivery across criminal justice services with greater use of remote delivery impacting upon relational practice. This research explored the lasting impact of the pandemic upon working practices, five years later, in a North-West youth justice service. The findings explore post-pandemic engagement within the youth justice service and reveal the lasting impacts of the pandemic in exacerbating vulnerability and mental health concerns of children
Exploring the validity of smartphone based single camera markerless motion capture technology to quantify knee range of motion in patients with knee osteoarthritis
Get PDFBackground: Single camera markerless motion capture technology offers a potential means of assessing joint function in patients with musculoskeletal disorders/diseases. The aim of this study was to determine the validity and within-session reliability of sagittal plane knee joint kinematics quantified using the Deep Vision platform in patients with knee osteoarthritis. Methods: Sagittal plane knee joint kinematics were quantified using a 3D motion capture system, the msk.ai Deep Vision platform and Kinovea in fifteen patients with knee osteoarthritis. Bland Altman plots with 95 % limits of agreement were used to assess validity and within-session reliability, with mean differences and limits of agreement explored relative to ± 5° and 10° clinically meaningful thresholds, respectively. This is based on the assumption that changes in joint angles greater than 5° are clinically meaningful. Results: Mean differences and 95 % limits of agreement were within the clinically meaningful thresholds when using the Deep Vision platform to quantify peak knee flexion and extension, and range of motion. Mean differences were within the clinically meaningful threshold for Kinovea based assessments, but 95 % limits of agreement exceeded the ± 10° clinically meaningful threshold for peak flexion and range of motion. All assessment methods displayed mean differences and 95 % confidence intervals within the clinically meaningful thresholds on average when comparing across repetitions to quantify within-session reliability. Conclusion: The findings of the study demonstrate that the msk.ai Deep Vision platform provides a valid and reliable means of quantifying peak knee flexion, extension and range of motion. Contribution of the Paper: • The Deep Vision platform, a smartphone based markerless motion capture technology, provides a valid means of measuring knee range of motion. • The Deep Vision platform displays high reliability when measuring knee range of motion.</p
Image-Based Android Malware Detection Using Deep Learning
No full textThe Android operating system (OS) dominates the mobile phone OS industry, with over 70% of the market share. With the growth of Android OS-based smartphones, it has become a prime target for mobile malware attacks. Minimal alterations in malware samples can easily evade traditional detection methods such as signature-based detection. In contrast, artificial intelligence (AI) and machine learning (ML)-based malware detection has proven more effective, as it can detect zero-day malware. Previous studies have shown that AI/ML-based malware classifiers trained on categorical features are vulnerable to adversarial evasion attacks. Therefore, in this study, we transform the features extracted from Android apps into image-based data and investigate the performance of Convolutional Neural Networks (CNNs), Inception Networks, and Residual Networks (ResNet) on this data. We employ 41,382 Android malware samples belonging to 240 malware families and 36,755 benign apps to train and test the models. Our experiment results show that CNNs outperform Inception Networks and ResNet with up to 99% classification accuracy. Furthermore, our analysis also indicates that CNNs trained on image-based Android malware and benign data outperform various Android malware detection techniques proposed in the literature
Global learner feedback on CME-accredited e-learning modules in Paediatric Endocrinology and Diabetes: cross-sectional study
No full textBackground:The European Society for Paediatric Endocrinology (ESPE) e-Learning website, www.espe-elearning.org, is a free, globally accessible online resource to enhance learning in pediatric endocrinology and diabetes. The content is created by world-leading experts in pediatric endocrinology and diabetes and is closely aligned with published international consensus guidelines. In August 2022, 30 hours of e-learning courses received accreditation from the European Accreditation Council for CME (EACCME®). These CME courses cover three categories: (1) Pediatric Endocrinology, (2) Pediatric Diabetes, and (3) Pediatric Endocrinology in Resource-Limited Settings.Objective:To assess learners' demographics and feedback from mandatory surveys after completion of CME e-learning courses, and identify areas for improvement.Methods:The ESPE e-learning committee created a mandatory survey for each CME e-learning module. The survey includes baseline demographics and feedback on the quality of the learning content, assessed using a five-level Likert scale. Data was extracted from the start of the CME modules in August 2022 until September 2025.Results:567 surveys were completed: 286 (50,4%) in the category Pediatric Endocrinology, 225 (39,7%) in the category Pediatric Diabetes ISPAD Guidelines, and 56 (9.9%) in the category Pediatric Endocrinology in Resource Limited Settings. There was global participation, with most learners practicing in Europe (n=333 (59%)), followed by Asia (n= 124 [22%]), Africa (n=53 [9%]), the Americas (n=45 [8%] North America, n=11 [2%] South America),and Oceania (n=1 [0%]). Most of the users indicated to be medical experts (37%), followed by fellows/residents (39%), medical students and nurses (5% and 6%, respectively); 10% of learners practice in resource-limited countries. Overall, the learning content was well received for all modules regarding accessibility, organization, level of interest, improvement of learner’s clinical practice, appropriateness of content and provision of feedback (median Likert score 4; IQR 1). Learners’ free-text feedback identified some areas of improvement, including reducing text-heavy content, providing more graphical content and more interactive case reports. Most learners' free text feedback consists of encouraging and thankful comments.Conclusions:The ESPE CME-accredited e-learning modules are well-received providing globally free CME education in pediatric endocrinology and diabetes. These findings support the continued development and promotion of open-access CME platforms improving global equity in specialist medical education and focusing on educational impact
Animals and Landscapes:Multispecies Locations, Space and Place
No full textThis volume explores various connections between animals and landscapes, challenging traditional anthropocentric framings and acknowledging the agency of other-than-human species in shaping our surroundings.A critical departure from traditional perspectives, Animals and Landscapes challenges the prevalent anthropocentric and ocularcentric approaches to the scenic landscape. Instead, the contributors adopt a multispecies lens, prioritising the more-than-human and illuminating the intricate relationships between bodies, actions, and place. The chapters navigate a range of environments, exploring visual and aesthetic experiences as well as the entanglements of place, action, bodies, and subjectivities. In doing so the authors discuss historical, geographical, social, economic, and cultural frameworks that shape landscapes, revealing the often-ignored agency of non-human species.Moving beyond human-centric framings of landscapes, it acknowledges the active role that other species play in shaping, using, and producing these environments. Central to this thematic exploration is the idea that animals have their own geographies and act as place-making agents. Underscoring the dynamic role animals play in shaping the spaces they inhabit, this volume encourages a re-evaluation of the narratives that have predominantly marginalised the role of animals in shaping our understanding of place.This interdisciplinary book will appeal to academics and students of sociology, visual culture, geography, and cultural studies, film, and media and television studies with interests in landscape studies and human-animal studies