A systematic benchmark of integrative strategies for microbiome-metabolome data by Loïc Mangnier, Antoine Bodein, Margaux Mariaz, Alban Mathieu, Marie-Pier Scott-Boyer, Neerja Vashist, Matthew S. Bramble, Arnaud Droit

“…Through realistic simulations, we identified the best-performing methods and validated them on real gut microbiome datasets, revealing complementary biological processes across the two omic layers. Practical guidelines are provided for specific scientific questions and data types. …”
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Multi-scale fusion semantic enhancement network for medical image segmentation by Zilong Zhang, Chao Xu, Zhengping Li, Yixuan Chen, Chao Nie

“…Although Transformer-based models are effective at capturing global context, they are often ineffective at dealing with local feature dependencies. …”
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Impact of water vapor on stratospheric temperature after the 2022 Hunga Tonga eruption: direct radiative cooling versus indirect warming by facilitating large particle formation by Xi Chen, Jun Wang, Meng Zhou, Zhendong Lu, Lyatt Jaegle, Luke D. Oman, Ghassan Taha

“…Here, we developed analytical models constrained by satellite observations to quantify these contrasting roles of WV in stratospheric temperature perturbations. …”
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Molecular Dynamics Study on the Lubrication Mechanism of the Phytic Acid/Copper Interface Under Loading Condition by Min Guan, Dong Xie, Xiaoting Wang, Fengjuan Jing, Feng Wen, Yongxiang Leng

“…Molecular dynamics (MD) simulations were employed to model the behavior of compression and the confined shear process. …”
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Optimal sandwich panel's core design for an enhanced impact resistance by Assil Charkaoui, Noha M. Hassan, Zied Bahroun

“…Both numerical and experimental results revealed the superior energy absorption capabilities of the X-frame core shaped structure. Regression models developed shed light on the relationships between core height, volume fraction, number of layers, and core topology revealing the extent of damage. …”
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On the improvement of schizophrenia detection with optical coherence tomography data using deep neural networks and aggregation functions by Paweł Karczmarek, Małgorzata Plechawska-Wójcik, Adam Kiersztyn, Adam Domagała, Agnieszka Wolinska, Steven M. Silverstein, Kamil Jonak, Paweł Krukow

“…In this study Optical Coherence Tomography (OCT) data is applied to assess the different layers of the retina. OCT data were applied in the process of automatic differentiation of schizophrenic patients from healthy controls. …”
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Artificial intelligence of things for sustainable smart city brain and digital twin systems: Pioneering Environmental synergies between real-time management and predictive planning by Simon Elias Bibri, Jeffrey Huang

“…To the best of our knowledge, research on the explicit fusion of UB's real-time analytics—enabled through stream processing—with UDT's predictive analytics—driven by simulation modeling—is scant, if not absent. …”
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Development Performance and Pressure Field Evolution of ASP Flooding by Junjian Li, Hao Wang, Jinchuan Hu, Hanqiao Jiang, Rongda Zhang, Lihui Tang

“…A large sandpack laboratory model with vertical heterogeneous layers is used to monitor pressure performance during the ASP flooding. …”
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Power Quality State Estimation for Distribution Grids Based on Physics-Aware Neural Networks—Harmonic State Estimation by Patrick Mack, Markus de Koster, Patrick Lehnen, Eberhard Waffenschmidt, Ingo Stadler

“…This article examines a new flexible, close-to-real-time concept of harmonic state estimation using synchronized measurements processed in a neural network. A physics-aware approach enhances a data-driven model, taking into account the structure of the electrical network. …”
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Geometrization of structural elements of the Southern section of the Bystriyivske gabbro deposit to determine rational directions of development by V.G. Levytskyi, A.O. Kryvoruchko, G.V. Skyba, S.V. Kalchuk, S.M. Shyshko

“…The main goal of the study is to create spatial models of the deposit that reflect the distribution patterns of the main structural elements, such as tectonic faults, layering, vein formations, fracture zones and other morphological heterogeneities that affect the physical and mechanical properties of rock and gabbroic rocks in particular. …”
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Use of femtosecond laser generated reactive oxygen species to manage inflammation and enhance wound healing after ocular trauma by Jiashuai Fan, Mikhail Fomovsky, Chao Wang, Mariya Zyablitskaya, Christos Sazeides, Dusan Bogunovic, Sinisa Vukelic

“…In this study, we have utilized rabbit models to investigate whether femtosecond laser-generated reactive oxygen species (ROS) can enhance the wound healing process. …”
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Molecular correlates of childhood adversity – a multi-omics perspective on stress regulation by Johannes C. S. Zang, Caroline May, Katrin Marcus, Robert Kumsta

“…In search of mediators of this relationship, alterations of bio-behavioral and cellular regulatory systems came into focus, including those dealing with basic gene regulatory processes. System biology oriented approaches have been proposed to gain a more comprehensive understanding of the complex multiple interrelations between and within layers of analysis. …”
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Numerical Simulation on an Ultra-Large Seven-Ring Internal Support System Considering the Effects of Soil–Structure Interaction and Temperature by Hexiang Hu, Yu Tian, Neimeng Zheng, Xiuli Du, Haishan Guo, Zhonghua Xu

“…The Hardening Soil model with small strain stiffness is used to simulate and analyze the whole excavation process of the foundation pit. …”
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Cyanoguanidine-Modified Chitosan as an Efficacious Adsorbent for Removing Cupric Ions from Aquatic Solutions: Kinetics, Isotherms, and Mechanisms by Ard elshifa M. E. Mohammed, Nouf F. Al-Harby, Muneera Alrasheedi, Shaimaa M. Ibrahim, Nadia A. Mohamed

“…The adsorbent’s removal efficacy was 96.05%, and the adsorption isotherms, which conform to the Freundlich model, show that adsorption is multi-layered and homogeneous. …”
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Physics informed neural networks for fluid flow analysis with repetitive parameter initialization by Jongmok Lee, Seungmin Shin, Taewan Kim, Bumsoo Park, Ho Choi, Anna Lee, Minseok Choi, Seungchul Lee

“…Furthermore, principal component analysis confirmed its capability to dynamically modulate model parameters during the training process. These results show the effectiveness of the proposed training strategy in addressing stiff fluid problems. …”
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Fracturing simulation with different perforation positions at deep coal seam and roof/ floor rock — case study at the No.8 deep coal seam of a gas field in the Ordos basin by Dong XIONG, Jiayuan HE, Xinfang MA, Zhaoliang QU, Tiankui GUO, Shiyu MA

“…The parameters of the model are inverted and verified based on on-site fracturing testing and construction technology. …”
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Enhancing precision in multiple sclerosis lesion segmentation: A U-net based machine learning approach with data augmentation by Oezdemir Cetin, Berkay Canel, Gamze Dogali, Unal Sakoglu

“…The proposed algorithm employs Convolutional Neural Networks (CNNs) in the form of U-Net architecture, a renowned model for biomedical image segmentation. To address the issue of insufficient training data, data augmentation techniques have been implemented, enhancing the diversity and volume of the training set. …”
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PlantNet: Scalable Convolutional Neural Network for Image-Based Plant Disease Detection by Sinha Anupa, Kumaraswamy Balasubramaniam

“…The model employs transfer learning, utilizing pre-trained networks on vast image repositories before fine-tuning on a specialized plant disease dataset, thereby enhancing feature extraction while minimizing computational complexity. …”
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BRYANSK-KURSK-VORONEZH INTRA-CONTINENTAL COLLISIONAL OROGEN (EAST EUROPEAN CRATON) by M. V. Mints, W. A. Bush, S. N. Ageev

“…The deep structure of the orogen is presented by the 3D model based on results of geological mapping of the Precambrian basement and interpretations of geophysical fields and seismic images of the crust along geotraverse 1-EB and profile DOBRE. …”
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VAE-Based Real-Time Anomaly Detection Approach for Enhanced V2X Communication Security by Yonas Teweldemedhin Gebrezgiher, Sekione Reward Jeremiah, Stefanos Gritzalis, Jong Hyuk Park

“…This paper proposes a real-time anomaly detection framework that integrates the reconstruction capabilities of Variational Autoencoders (VAEs) with the feature extraction power of Convolutional Neural Networks (CNNs). Our model processes streaming data using a sliding window mechanism, ensuring prompt detection of anomalies in the dynamic V2X environment. …”
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