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This study, with the aim to test theory in practice, used group concept mapping to develop a comprehensive conceptualization of middle managers' leadership behaviors concerning digital transformation as a form of radical change. Participants were professionals in the largest public organization in the Netherlands (a police organization) who were dealing with digital transformation in their own practice and who enrolled in an education program on leadership and intelligence. Based on 94 unique statements, the participant-driven results revealed six thematically coherent clusters representing leadership skills and behaviors regarding improvement and results, digital technologies, cooperation, the self, change and ambivalence, and others. The stress value of 0.2234 indicated a good fit. Further analysis showed that clusters containing soft skills and people-oriented behaviors were considered the most important. These results can serve as input to support leadership development programs for middle managers to develop themselves into people-oriented, empowering leaders who can adapt their leadership approaches to fit and support change in general and technology-driven change in particular. Ultimately this will benefit their and their employees' overall well-being at work. This study is the first to investigate middle managers' leadership skills and behaviors in a large public organization that is entirely participant-driven.
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http://dx.doi.org/10.3389/fpsyg.2023.1147002 | DOI Listing |
Neurol Sci
September 2025
Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.
The rapid evolution of digital tools in recent years after COVID-19 pandemic has transformed diagnostic and therapeutic practice in neurology. This shift has highlighted the urgent need to integrate digital competencies into the training of future specialists. Key innovations such as telemedicine, artificial intelligence, and wearable health technologies have become central to improving healthcare delivery and accessibility.
View Article and Find Full Text PDFOral Surg Oral Med Oral Pathol Oral Radiol
August 2025
Department of Oral Medicine, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing, PR China. Electronic address: yz
Objective: There are limited data regarding the association and differentiation between proliferative verrucous leukoplakia (PVL) and unifocal verrucous leukoplakia (UVL).
Methods: We retrospectively recruited oral leukoplakia (OL) patients from 2010 to 2024, analyzing the demographic, clinical, histopathological features, and malignant transformation of PVL and UVL.
Results: Among 1756 OL subjects, PVL and UVL accounted for 1.
Comput Methods Programs Biomed
September 2025
eXiT Research Group, Universitat de Girona (UdG), EPS - Edifici P-IV, Carrer Universitat de Girona, 6, Girona, 17003, Catalunya, Spain.
Background And Objective: Hybrid forecasting methods aim to overcome the limitations of classical statistical approaches and deep learning models. While statistical methods provide interpretability, they often lack predictive power. Conversely, deep learning models achieve high accuracy but act as "black boxes.
View Article and Find Full Text PDFJ Behav Addict
September 2025
1School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China.
Background And Aims: Digital addiction among youth, characterized by excessive and compulsive use of digital devices such as smartphones, computers, and social media platforms, has become a global concern. The present study aimed to investigate the association between digital addiction subtypes in youth and various health outcomes using "digital addiction" as an umbrella term.
Methods: We comprehensively reviewed articles reporting health outcomes related to digital addiction in youth from the Chinese National Knowledge Infrastructure (CNKI), Wanfang, PubMed, and Web of Science databases using a targeted search strategy and assessed them using predefined inclusion and exclusion criteria.
Cereb Cortex
August 2025
Aix-Marseille Université, Institut National de la Santé et de la Recherche Médicale, Institut de Neurosciences des Systèmes (INS) UMR1106, Marseille 13005, France.
Over three decades, statistical parametric mapping has transformed neuroimaging from descriptive mapping to causal inference, placing generative models at the core of causal explanations for brain function. It inspired to a large degree The Virtual Brain, which builds subject-specific digital twins from multimodal data, enabling brain simulations and exploration. Both frameworks converge at parameter estimation, where model and data meet, providing the mathematical manifestation of cause-effect in pathophysiology.
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