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 |
Sensors (Basel)
January 2025
Department of Biomedical Engineering, Yonsei University, Wonju 26493, Republic of Korea.
This study presents the fabrication of a sustainable flexible humidity sensor utilizing chitosan derived from mealworm biomass as the primary sensing material. The chitosan-based humidity sensor was fabricated by casting chitosan and polyvinyl alcohol (PVA) films with interdigitated copper electrodes, forming a laminate composite suitable for real-time, resistive-type humidity detection. Comprehensive characterization of the chitosan film was performed using Fourier-transform infrared (FTIR) spectroscopy, contact angle measurements, and tensile testing, which confirmed its chemical structure, wettability, and mechanical stability.
View Article and Find Full Text PDFSensors (Basel)
January 2025
Department of Civil Engineering, Myongji College, Seoul 03656, Republic of Korea.
Conventional approaches for the structural health monitoring of infrastructures often rely on physical sensors or targets attached to structural members, which require considerable preparation, maintenance, and operational effort, including continuous on-site adjustments. This paper presents an image-driven hybrid structural analysis technique that combines digital image processing (DIP) and regression analysis with a continuum point cloud method (CPCM) built on a particle-based strong formulation. Polynomial regressions capture the boundary shape change due to the structural loading and precisely identify the edge and corner coordinates of the deformed structure.
View Article and Find Full Text PDFSensors (Basel)
January 2025
Key Laboratory of Concrete and Pre-Stressed Concrete Structures of the Ministry of Education, Southeast University, Nanjing 210096, China.
A method of bridge structure seismic response identification combining signal processing technology and deep learning technology is proposed. The short-time energy method is used to intelligently extract the non-smooth segments in the sensor acquired signals, and the short-time Fourier transform, continuous wavelet transform, and Meier frequency cestrum coefficients are used to analyze the spectrum of the non-smooth segments of the response of the bridge structure, and the response feature matrix is extracted and used to classify sequences or images in the LSTM network and the Resnet50 network. The results show that the signal processing techniques can effectively extract the structural response features and reduce the overfitting phenomenon of neural networks, and the combination of signal processing techniques and deep learning techniques can recognize the seismic response of bridge structures with high accuracy and efficiency.
View Article and Find Full Text PDFInt J Mol Sci
January 2025
August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Rosselló 149, 08036 Barcelona, Spain.
The treatment landscape for advanced melanoma has transformed significantly with the advent of BRAF and MEK inhibitors (BRAF/MEKi) targeting V600 mutations, as well as immune checkpoint inhibitors (ICI) like anti-PD-1 monotherapy or its combinations with anti-CTLA-4 or anti-LAG-3. Despite that, many patients still do not benefit from these treatments at all or develop resistance mechanisms. Therefore, prognostic and predictive biomarkers are needed to identify patients who should switch or escalate their treatment strategies or initiate an intensive follow-up.
View Article and Find Full Text PDFMedicina (Kaunas)
December 2024
Department of Otolaryngology, Head and Neck Surgery, Wroclaw Medical University, 50-556 Wrocław, Poland.
Fibrous dysplasia is an uncommon bone disorder affecting various parts of the skeleton, often affecting facial and cranial bones. In this case, a 10-year-old patient was diagnosed with fibrous dysplasia of the ethmoid sinus at an early age. The patient has experienced nasal congestion, snores, and worsening nasal patency since 2019.
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