Clinical Performance of Bulk-Fill Versus Incremental Composite Restorations in Primary Teeth: A Systematic Review of In Vivo Evidence by Maria Sarapultseva, Desheng Hu, Alexey Sarapultsev

“…Marginal integrity was generally equivalent, though incremental techniques showed modest advantages in complex cavities. Secondary outcomes were inconsistently reported, with no significant group differences. …”
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RCSAN residual enhanced channel spatial attention network for stock price forecasting by WenJie Sun, Ziyang Liu, ChunHong Yuan, Xiang Zhou, YuTing Pei, Cui Wei

“…Abstract This study proposes a stock price prediction model based on the Residual-enhanced Channel-Spatial Attention Network (R-CSAN), which integrates channel-spatial adaptive attention mechanisms with residual connections to effectively capture the multidimensional complex patterns in financial time series. The R-CSAN adopts an encoder-decoder architecture, where the encoder extracts feature correlations from historical data through multiple layers of channel-spatial attention modules, and the decoder incorporates a masking mechanism to prevent future information leakage and introduces a cross-attention mechanism to model inter-market correlations. …”
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An Improved Galerkin Framework for Solving Unsteady High-Reynolds Navier–Stokes Equations by Jinlin Tang, Qiang Ma

“…This error indicator guides an AMR algorithm that combines longest-edge bisection with local Delaunay re-triangulation, ensuring optimal mesh adaptation to complex flow features such as boundary layers and vortices. …”
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A Segmentation Network with Two Distinct Attention Modules for the Segmentation of Multiple Renal Structures in Ultrasound Images by Youhe Zuo, Jing Li, Jing Tian

“…Furthermore, the triple-branch multi-head self-attention mechanism leverages the different convolution layers to obtain diverse receptive fields, capture global contextual information, compensate for the local receptive field limitations of convolution operations, and boost the segmentation performance. …”
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YOLO-UIR: A Lightweight and Accurate Infrared Object Detection Network Using UAV Platforms by Chao Wang, Rongdi Wang, Ziwei Wu, Zetao Bian, Tao Huang

“…Within the field of remote sensing, Unmanned Aerial Vehicle (UAV) infrared object detection plays a pivotal role, especially in complex environments. However, existing methods face challenges such as insufficient accuracy or low computational efficiency, particularly in the detection of small objects. …”
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Gas Generation in Lithium-Ion Batteries: Mechanisms, Failure Pathways, and Thermal Safety Implications by Tianyu Gong, Xuzhi Duan, Yan Shan, Lang Huang

“…Gas evolution in lithium-ion batteries represents a pivotal yet underaddressed concern, significantly compromising long-term cyclability and safety through complex interfacial dynamics and material degradation across both normal operation and extreme thermal scenarios. …”
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Fractal-Based Architectures with Skip Connections and Attention Mechanism for Improved Segmentation of MS Lesions in Cervical Spinal Cord by Rukiye Polattimur, Mehmet Süleyman Yıldırım, Emre Dandıl

“…<b>Conclusions</b>: For segmentation of the CSC region and detection of MS lesions, the proposed fractal-based Con-FractalU-Net and Att-FractalSpiNet architectures achieved higher scores than the baseline U-Net architecture, particularly in segmenting small and complex structures.…”
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Análisis del estado tensional en el contacto de dientes de engranajes cilíndricos mediante el Método de Elementos Finitos. // Analysis of stress generated field in the gear tooth f... by O. González Quintero, E. Alfonso Brindis

“…In the selection of the<br />combined hardening described in this report was considerate a procedure of hardening directed to generate compression stress<br />in the surface layers for improve the fatigue resistance of machine elements. …”
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Design of an Improved Model for Anomaly Detection in CCTV Systems Using Multimodal Fusion and Attention-Based Networks by V. Srilakshmi, Sai Babu Veesam, Mallu Shiva Rama Krishna, Ravi Kumar Munaganuri, Dulam Devee Sivaprasad

“…Traditional approaches for video analysis often misdefine anomalies; they usually rely on single-modality input and have inadequate management of complex temporal patterns. This paper resolves these limitations by proposing a comprehensive scheme for multimodal Closed-Circuit Television (CCTV) video analysis. …”
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Advanced Defect Detection in Wrap Film Products: A Hybrid Approach with Convolutional Neural Networks and One-Class Support Vector Machines with Variational Autoencoder-Derived Cov... by Tatsuki Shimizu, Fusaomi Nagata, Maki K. Habib, Koki Arima, Akimasa Otsuka, Keigo Watanabe

“…We compare our methodology against feature vectors derived from the fully connected layers of established CNN models, AlexNet and VGG19, offering a comprehensive benchmarking perspective. …”
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SAM-Net: Spatio-Temporal Sequence Typhoon Cloud Image Prediction Net with Self-Attention Memory by Yanzhao Ren, Jinyuan Ye, Xiaochuan Wang, Fengjin Xiao, Ruijun Liu

“…However, most models now rely on stacking convolutional layers to obtain local spatial features. In response to the complex changes in cloud position and shape in cloud images, the prediction module of the model needs to be able to extract both global and local spatial features from the cloud images. …”
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Rolling Bearing Fault Diagnosis Method Based on SWT and Improved Vision Transformer by Saihao Ren, Xiaoping Lou

“…Transfer learning further leverages pre-trained ResNet50 parameters to initialize the convolutional and residual layers of the ResCAA-ViT model, facilitating efficient feature extraction. …”
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Mannan is a context-dependent shield that modifies virulence in Nakaseomyces glabratus by Gabriela Fior Ribeiro, Emily L. Priest, Helen Heaney, Jonathan P. Richardson, Delma S. Childers

“…In order to better understand the importance of these species-specific cell wall adaptations in infection, we set out to investigate how the mannan polymerase II complex gene, MNN10, contributes to N. glabratus cell wall architecture, immune recognition, and virulence in reference strains BG2 and CBS138. mnn10Δ cells had thinner inner and outer cell wall layers and elevated mannan, chitin, and β-1,3-glucan exposure compared to wild-type cells. …”
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A Blockchain-Based Architecture of Web3.0: A Comprehensive Decentralized Model With Relay Nodes, Unique IDs and P2P by Hyunjoo Yang, Sejin Park

“…Additionally, the model introduces a TPM+Reputation system that combines hardware-backed node attestation with blockchain-stored historical reputation scores, ensuring robust trust evaluations. This dual-layered approach mitigates risks associated with reputation inflation, identity manipulation, and malicious node behavior. …”
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Understanding personality pathology in a clinical sample of youth: study protocol for the longitudinal research project ‘APOLO’ by Nagila Koster, Igor Lusin, Paul T van der Heijden, Odilia M Laceulle, Marcel A G van Aken

“…Primary research questions will be analysed using structural equation modelling.Ethics and dissemination The results will contribute to our understanding of (the development of) personality pathology as a complex phenomenon in which both structural personality characteristics as well as unique individual adaptations and experiences play a role. …”
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‘Why do GPs want to come here?’: residents’ intentions to register with new-coming GPs in a disadvantaged neighbourhood in Copenhagen with a GP shortage: a qualitative study by Stine Dandanell Garn, Sarah Fredsted Villadsen, Charlotte Glümer, Kristina Johansen, Ulla Christensen

“…The analysis was carried out through systematic text condensation and interpreted and structured by Pawson’s layers of contextual influence (infrastructural and institutional). …”
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Mapping the Discourse. Architecture Periodicals in/for the Teaching of Architecture History by Gaia Caramellino, Valeria Casali, Nicole De Togni

“…By dissecting the overall structure of each journal and scrutinizing their constituting elements - including undervalued parts, often considered at the peripheries of the discourse -, the multi-layered study of this printed network brings to the light the interconnections between a constellation of actors and agents involved in the production of knowledge. …”
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Cryogenic 3D printing of ice structures with embedded cells using 70 pL droplets by Takahiro KURASAWA, Hiroki WATANABE, Yoshitake AKIYAMA

“…At 5 Hz, droplets remained distinctly separated, forming a well-defined layered structure, whereas at 20 Hz, they partially merged while maintaining a high aspect ratio. …”
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An Omni-Dimensional Dynamic Convolutional Network for Single-Image Super-Resolution Tasks by Xi Chen, Ziang Wu, Weiping Zhang, Tingting Bi, Chunwei Tian

“…Although cnns have considerably improved image reconstruction quality, existing methods still face limitations, including inadequate restoration of high-frequency details, high computational complexity, and insufficient adaptability to complex scenes. …”
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VIOS-Net: A Multi-Task Fusion System for Maritime Surveillance Through Visible and Infrared Imaging by Junquan Zhan, Jiawen Li, Langtao Wu, Jiahua Sun, Hui Yin

“…The proposed model, VIOS-Net, integrates the advantages of both visible and infrared data sources to meet the challenges of all-weather, all-day ship monitoring under complex environmental conditions. VIOS-Net employs a Shared Bottom network architecture, utilizing both shared and specific feature extraction modules at the model’s lower and upper layers, respectively, to optimize the system’s recognition capabilities and maximize data utilization efficiency. …”
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