Influential nodes recognition of diverse complex network based on deep learning by MA Yulei, GUO Shasha

“…Secondly, a new Transformer framework that could handle features of different dimensions was proposed. …”
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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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Deep learning in microbiome analysis: a comprehensive review of neural network models by Piotr Przymus, Krzysztof Rykaczewski, Adrián Martín-Segura, Jaak Truu, Enrique Carrillo De Santa Pau, Mikhail Kolev, Mikhail Kolev, Irina Naskinova, Aleksandra Gruca, Alexia Sampri, Alexia Sampri, Marcus Frohme, Alina Nechyporenko, Alina Nechyporenko

“…Microbiome research, the study of microbial communities in diverse environments, has seen significant advances due to the integration of deep learning (DL) methods. These computational techniques have become essential for addressing the inherent complexity and high-dimensionality of microbiome data, which consist of different types of omics datasets. …”
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Dimensionality Reduction Algorithms in Machine Learning: A Theoretical and Experimental Comparison by Ashish Kumar Rastogi, Swapnesh Taterh, Billakurthi Suresh Kumar

“…First, we discuss the theoretical foundation of a variety of FEAs from various categories like supervised vs. unsupervised, linear vs. nonlinear and random-projection-based vs. manifold-based, show their algorithms and compare these methods conceptually. Second, we determine the finest sets of new features for various datasets, as well as in terms of statistical significance, evaluate the eminence of the different types of transformed feature spaces and power analysis, and also determine the FEA efficacy in terms of speed and classification accuracy.…”
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Advances in Wastewater-Based Epidemiology for Pandemic Surveillance: Methodological Frameworks and Future Perspectives by Weihe Zhu, Daxi Wang, Pengsong Li, Haohao Deng, Ziqing Deng

“…Wastewater-based epidemiology (WBE) has emerged as a transformative approach for community-level health monitoring, particularly during the COVID-19 pandemic. …”
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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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Multiscale Information Fusion Based on Large Model Inspired Bacterial Detection by Zongduo Liu, Yan Huang, Jian Wang, Genji Yuan, Junjie Pang

“…Experimental results demonstrate that EagleEyeNet achieves remarkable performance improvements, with mAP50 increases of 3.1% on the QDBD dataset and 4.9% on the AGRA dataset, outperforming the State-Of-The-Art (SOTA) methods in detection accuracy. These findings underscore the transformative potential of integrating large models and deep learning for advancing bacterial detection technologies.…”
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Land use policy and green utilization efficiency in border cities: evidence from northeastern China’s carbon reduction practice by Xuncheng Fan, Lili Zhao

“…Energy intensity (−6452.09, p < 0.05) and industrial structure (−4664.92, p < 0.01) are key inhibiting factors. Different types of cities present differentiated policy responses.DiscussionIndustrial cities promote technological upgrades through digital transformation. …”
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Dostoevsky in Japanese Translations: The Problem of Textual Images by U. P. Strizhak

“…In this article the mechanisms of the transformation of textual images in Dostoevsky works in the Japanese representation will be considered. …”
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Bring dying at home: What facilitates and hinders home-based end-of-life care for people living with dementia?-A systematic review and meta-ethnography protocol. by Guo Yin, Divya Sivaramakrishnan, Leah Macaden

“…<h4>Discussion</h4>This review will synthesize and analyze the results of different qualitative studies, transforming different perspectives through an iterative process of comparison, translation, and synthesis to generate new insights, and will form a comprehensive and insightful interpretive framework. …”
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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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A Safety Evaluation Model of Intersections under Mixed Traffic Conditions Using Traffic Conflicts and Cloud Model by Xuan Can Vuong, Rui-Fang Mou, Trong Thuat Vu, Van Hung Tran, Chi Trung Nguyen

“…And then, as regards the fuzziness and randomness of the evaluation indicators, the qualitative concept has to be converted into a quantitative one utilizing cloud model, which implements the natural transformation between the qualitative concept of the safety level of traffic conflict and the membership degree of the evaluation indicators corresponding to the different safety levels. …”
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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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