Enhanced Wheat Head Detection in Images Using Fourier Domain Adaptation and Random Guided Filter: Détection améliorée des têtes de blé dans les images à l’aide de l’adaptation du d... by Sylvester C. Okafor, Linjing Wei, Solomon Boamah, Le Zhang, Mamadou B. Diallo

“…A combination of Fourier domain adaptation (FDA), adaptive alpha beta gamma correction (AABG) and random guided filter (RGF) preprocessing methods was applied in this study. The authors utilized FDA to reduce variations between different domains by transforming an image into the Fourier domain, aligning its distribution with a randomly selected image of another domain. …”
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A self-supervised multimodal deep learning approach to differentiate post-radiotherapy progression from pseudoprogression in glioblastoma by Ahmed Gomaa, Yixing Huang, Pluvio Stephan, Katharina Breininger, Benjamin Frey, Arnd Dörfler, Oliver Schnell, Daniel Delev, Roland Coras, Anna-Jasmina Donaubauer, Charlotte Schmitter, Jenny Stritzelberger, Sabine Semrau, Andreas Maier, Siming Bayer, Stephan Schönecker, Dieter H Heiland, Peter Hau, Udo S. Gaipl, Christoph Bert, Rainer Fietkau, Manuel A. Schmidt, Florian Putz

“…The proposed method achieved competitive performance, with an AUC of 75.3%, outperforming the current state-of-the-art data-driven approaches. …”
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Autonomous International Classification of Diseases Coding Using Pretrained Language Models and Advanced Prompt Learning Techniques: Evaluation of an Automated Analysis System Usin... by Yan Zhuang, Junyan Zhang, Xiuxing Li, Chao Liu, Yue Yu, Wei Dong, Kunlun He

“…ResultsCompared with traditional pretraining and fine-tuning pipelines, our approach achieved a higher micro–F1-score of 0.838 and a macro–area under the receiver operating characteristic curve (macro-AUC) of 0.958, which is 10% higher than other methods. Among different prompt learning setups, the combination of mixed templates and soft verbalizers yielded the best performance. …”
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Workforce development in the trucking industry: A comprehensive analysis of truck driver training entities by Sicheng Wang, Elizabeth A. Mack, Nidhi Kalani, Chu-Hsiang Chang, Shelia R. Cotten

“…The transformation of transportation technologies, economic structures, and social lifestyles is changing the truck-driving workforce. …”
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Analyzing the Effect of Drainage on the Stability of Tailings Dams Using the Interpretation of Cross-Correlations by Moustafa Hamze-Guilart, Lineu Azuaga Ayres da Silva, Anna Luiza Marques Ayres da Silva, Maria Eugenia Gimenez Boscov

“…The time series data were regularized and transformed into stationary forms to ensure consistency in the analysis. …”
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Skills required by bachelor nursing students to meet the challenges of digitalisation in healthcare – results of qualitative expert interviews by Palmdorf, Sarah, Behler, Annika, Ilskens, Karina, Büker, Christa, Latteck, Änne-Dörte

“…Objective: Through the digital transformation the everyday working life of nursing staff and the demands made on them are steadily changing. …”
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Evaluation of the effects of thermal changes on the bond strength between zirconia framework and veneering ceramic during the firing process by Yeşim Ölçer Us, Betül Tuncelli

“…PurposeThe aim of this in-vitro study was to evaluate the effect of thermal changes to shear bond strength during the firing process of veneering porcelain on a zirconia framework.Materials and MethodsSingle yttria-stabilized tetragonal zirconia polycrystal (Y-TZP) framework ceramic (Kavo Dental GmbH) and three different types of veneering ceramics (IPS e.max Ceram, Vita VM9, and GC Initial Zr-FS) were used. …”
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The Ethnic Content of the Values Son and Daughter in the Kazakh Culture: Ethnopsycholinguistic Study of Family and Relative Values by Гульжана Кузембаєва

“…The problem under study is especially relevant in the context of transformation of Kazakhstani society, heterogeneity of language situation and cultural diversity across regions. …”
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Ubiquitylomics: An Emerging Approach for Profiling Protein Ubiquitylation in Skeletal Muscle by Samuel O. Lord, Harvey E. Johnston, Rahul S. Samant, Yu‐Chiang Lai

“…By integrating the intricate landscape of protein ubiquitylation with dynamic shifts in muscle physiology, ubiquitylomics promises to not only deepen our understanding of skeletal muscle biology but also lay the foundation for developing transformative muscle‐related therapeutics. This review aims to articulate how ubiquitylomics can be utilised by researchers to address different aspects of ubiquitylation signalling in skeletal muscle. …”
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Establishing the foundation for technology adoption: profiles of military students in the digital age by Andrea Luna, Mauro Ocaña, Javier Rodríguez-Moreno, Ana María Ortíz-Colón

“…Yet, to implement a technology-enhanced learning environment, stakeholders must first address the complexity of student learning in military higher education institutions. Through a mixed-methods approach, we used latent profile analysis of MSLQ scores, complemented by a comprehensive study of academic programs and faculty interviews, to reveal that heterogeneity among military students is not significantly different from that of civilian students. …”
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LGD_Net: Capsule network with extreme learning machine for classification of lung diseases using CT scans. by Ali Haider Khan, Jianqiang Li, Muhammad Nabeel Asghar, Sajid Iqbal

“…Additionally, the affine transformation methods are used to enhance LGD datasets. …”
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Characteristic of the epidemiology of leptospirosis at the present stage by O. L. Pavlenko

“…There are capable conditions for modification the epidemic process (intensive transformation of nature, urban extension, increasing density of the population, changes of economic activity, etc.) in Crimea. …”
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Membrane particles from mesenchymal stromal cells reduce the expression of fibrotic markers on pulmonary cells. by Ana Merino, Martin J Hoogduijn, Maria Molina-Molina, Elena G Arias-Salgado, Sander S Korevaar, Carla C Baan, Ana Montes-Worboys

“…We aimed to investigate the anti-fibrotic role of MP derived from MSC in an in vitro model of pulmonary fibrosis.<h4>Methods</h4>Epithelial cells (A549) and lung fibroblasts, from IPF patients with different telomere length, were co-cultured with MP and TGF-β for 48h and gene expression of major pro-fibrotic markers were analyzed.…”
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Detection of weeds in teff crops using deep learning and UAV imagery for precision herbicide application by Alemu Setargew Kebede, Tsehay Wasihun Muluneh, Abebe Belay Adege

“…Traditional weed control methods rely on manual labor and the indiscriminate application of herbicides, resulting in inaccurate targeting, inefficient distribution, excessive labor, and reduced yields. …”
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Exploring aspects of medical students’ professional identity through their reflective expressions by Shirly Avargil, Abir Saleh, Nogah C. Kerem

“…Abstract Background Professional identity formation (PIF) is a critical component of medical education, involving the transformation of medical students into skilled physicians. …”
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Correlation of serum cartilage oligomeric matrix protein (COMP) and interleukin-16 (IL-16) levels with disease severity in primary knee osteoarthritis: A pilot study in a Malaysian... by Esha Das Gupta, Wei Ren Ng, Shew Fung Wong, Abdul Kareem Bhurhanudeen, Swan Sim Yeap

“…Serum COMP and IL-16 levels were measured using ELISA and their values log transformed to ensure a normal distribution.<h4>Results</h4>There was no significant differences in levels of log serum COMP and IL-16 between healthy controls and KOA patients. …”
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Experimental study on the main influencing factors of induced membrane-guided spontaneous osteogenesis by J Liu, QD Yin, FY Bu, XM Chen

“…The aim of this study was to investigate the main influencing factors of IMGSO. Methods: Seventy-two adult Sprague-Dawley rats with 10- or 15-mm femur defects were established and randomly divided into 6 groups (n = 12). …”
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Growth Factor Identification Based on Speed and Duration of Centrifugation in Platelet Rich Plasma by Rizki Rahmadian, Benni Raymond, Riki Meksiko

“…The samples then processed by single centrifugation at 4 four different speed (600, 800, 1000, and 1200 rpm) for 4 different centrifugation times ( 8, 10, 12, 14 minutes). …”
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Evaluation of Knowledge Management Maturity Level in Iranian Audiovisual Archives Based on the APQC Model by Sepideh Ciruskabiri, Atefeh Sharif, Saeed Rezaei Sharifabadi, Mohammad Hassanzadeh

“…Second, although a census method was used to select 11 major archival organizations, smaller or regional institutions that face different challenges were not included; therefore, the generalizability of the results to all archival organizations in the country may be limited. …”
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Physical Information Neural Network-Based Seepage Behavior Analysis of Earth and Rock Dams by XUE binghan, HUANG zhenhua, LEI Jianwei, FANG Hongyuan

“…To address these limitations, this study proposes a novel seepage field solution method based on Physics-Informed Neural Networks (PINNs).MethodsThe core of the proposed method lies in transforming the free-boundary seepage problem into a fixed-boundary optimization problem. …”
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