The operational medium-range deterministic weather forecasting can be extended beyond a 10-day lead time by Kang Chen, Tao Han, Fenghua Ling, Junchao Gong, Lei Bai, Xinyu Wang, Jing-Jia Luo, Ben Fei, Wenlong Zhang, Xi Chen, Leiming Ma, Tianning Zhang, Rui Su, Yuanzheng Ci, Bin Li, Xiaokang Yang, Wanli Ouyang

“…Abstract Given the complexity of the atmospheric system, current numerical weather prediction models struggle with accurate forecasts. …”
Get full text

Astronomically calibrating early Ediacaran evolution by Tan Zhang, Chao Ma, Yifan Li, Chao Li, Anne-Christine Da Silva, Tailiang Fan, Qi Gao, Mingzhi Kuang, Wangwei Liu, Mingsong Li, Mingcai Hou

“…Abstract The current low-resolution chronostratigraphic framework for the early Ediacaran Period hampers a comprehensive understanding of potential trigger mechanisms for environmental upheavals and their connections to evolutionary innovation. …”
Get full text

NeuralPDR: neural differential equations as surrogate models for photodissociation regions by Gijs Vermariën, Thomas G Bisbas, Serena Viti, Yue Zhao, Xuefei Tang, Rahul Ravichandran

“…We train these surrogate architectures on three datasets of increasing physical complexity, with the last dataset derived directly from a three-dimensional simulation of a molecular cloud using a photodissociation region (PDR) code, 3D-PDR . …”
Get full text

Theoretical Foundation of Black Hole Image Reconstruction Using PRIMO by Dimitrios Psaltis, Feryal Özel, Lia Medeiros, Tod R. Lauer

“…We show that PRIMO provides a compact set of eigenimages that have sufficient complexity to recreate a broad set of images well beyond those in the training set.…”
Get full text

Three-dimensional cellular construct with impregnated silicon nanowires for intracellular optoelectronic biointerface by Nadi Hathot, Tania Assaf, Layan Habib, Noa M. Cohen, Dana Nir, Alexander Borodetsky, Shiri Karni-Ashkenazi, Menahem Y. Rotenberg

“…The e-scaffold was found to enable straightforward 3D tissue culture as well as intracellular electrical modulation at subcellular resolution.…”
Get full text

Continuous Nondestructive Monitoring Method Using the Reconstructed Three-Dimensional Conductivity Images via GREIT for Tissue Engineering by Sujin Ahn, Hun Wi, Tong In Oh, Alistair Lee McEwan, Sung Chan Jun, Eung Je Woo

“…The separation of driving and sensing electrodes allows us to simplify the hardware complexity and obtain higher measurement accuracy from a large number of small sensing electrodes. …”
Get full text

Frontiers in integrative structural modeling of macromolecular assemblies by Kartik Majila, Shreyas Arvindekar, Muskaan Jindal, Shruthi Viswanath

“…Experimental data spanning several scales was used in these studies, ranging from high-resolution data, such as X-ray crystallography and AlphaFold structure, to low-resolution data, such as cryo-electron tomography maps and data from co-immunoprecipitation experiments. …”
Get full text

Case of successful stenting of the coronary artery in a patient with a transplanted heart in acute coronary syndrome by A. A. Shilov, A. V. Bezdenezhnykh, V. I. Ganyukov, R. S. Tarasov, E. G. Uchasova, O. L. Barbarash, L. S. Barbarash

Get full text

FBG Interrogator Using a Dispersive Waveguide Chip and a CMOS Camera by Zhenming Ding, Qing Chang, Zeyu Deng, Shijie Ke, Xinhong Jiang, Ziyang Zhang

“…Furthermore, a deep neural network is developed to train the spectral dataset, achieving a temperature resolution of 0.1 °C from 60 °C to 120 °C, while direct processing on the valley/dark line detection yields a resolution of 7.84 °C. …”
Get full text

Artificial Intelligence and Objective‐Function Methods Can Identify Bankfull River Channel Extents by Jonathan Garber, Karen Thompson, Matthew J. Burns, Joshphar Kunapo, Geordie Z. Zhang, Kathryn Russell

“…A tool to delineate morphological bankfull conditions can allow us to more efficiently implement high‐resolution and large‐scale analyses of channel morphology (e.g., regional hydraulic geometry, channel evolution, physical complexity/habitat surveys), and improve management of fluvial geomorphology and stressors.…”
Get full text

Evaluation of LSTM vs. conceptual models for hourly rainfall runoff simulations with varied training period lengths by Mohamed M. Fathi, Md Abdullah Al Mehedi, Virginia Smith, Anjali M. Fernandes, Michael T. Hren, Dennis O. Terry

“…Deep-learning applications have recently shown promise for runoff predictions; however, they usually require longer input data sequences, especially for high-temporal resolution simulations, thus leading to increased model complexity. …”
Get full text

Characterizing Space‐Time Channel Network Dynamics in a Mediterranean Intermittent Catchment of Central Italy Combining Visual Surveys and Cameras by Simone Noto, Nicola Durighetto, Flavia Tauro, Salvatore Grimaldi, Gianluca Botter

“…This work combines the high spatial resolution of visual surveys and the high temporal resolution of camera‐based approaches to reconstruct the space‐time stream network dynamics in a 3.7 km2 Mediterranean catchment of central Italy. …”
Get full text

Single-Cell Transcriptomics in Spinal Cord Studies: Progress and Perspectives by Maiweilan Maihemuti, Mst. Afsana Mimi, S. M. Sohag, Md. Mahmudul Hasan

“…The integration of spatial transcriptomics and computational tools, such as machine learning, has further improved the resolution of spinal cord biology. However, challenges remain in terms of data complexity, sample acquisition, and clinical translation. …”
Get full text

SegTrackDetect: A window-based framework for tiny object detection via semantic segmentation and tracking by Aleksandra Kos, Karol Majek, Dominik Belter

“…Detecting tiny objects in high-resolution images is essential for real-time applications such as autonomous navigation and surveillance but is challenging due to the computational complexity of processing large images while maintaining the speed needed for timely decision-making. …”
Get full text

Optimization of clustering parameters for single-cell RNA analysis using intrinsic goodness metrics by Nicolina Sciaraffa, Antonino Gagliano, Luigi Augugliaro, Claudia Coronnello, Claudia Coronnello

“…Furthermore, it is advisable to test different numbers of principal components, given that this parameter is highly affected by data complexity. This procedure has enabled the effective prediction of clustering accuracy through the utilization of intrinsic metrics. …”
Get full text

Deep learning-based image classification for AI-assisted integration of pathology and radiology in medical imaging by Lanting He, Lan Luan, Dan Hu

“…It incorporates two novel components: the Adaptive Multi-Resolution Imaging Network (AMRI-Net) and the Explainable Domain-Adaptive Learning (EDAL) strategy. …”
Get full text

Smart Chaining: Templing and Temple Search by Rajeev Ranjan Kumar Tripathi, Rahul Mishra, Shailesh Kumar Agrahari, Pradeep Kumar Singh, Sarvpal Singh

“…By combining combinatorial hashing with hierarchical collision resolution, the scheme avoids linear search delays and resists clustering without increasing the memory footprint. …”
Get full text

The effectiveness of alluvial gully remediation in Great Barrier Reef catchments by Andrew P. Brooks, John Spencer, Nicholas J.C. Doriean, Robin Thwaites, James Daley, Tim Pietsch, Jorg Hacker, Justin Stout

“…Prior to remediation, the four large alluvial gully complexes (active area of ∼17ha) were conservatively estimated to be delivering 5800 ± 1500 t of fine sediment (<20 μm) per year (20 year average). …”
Get full text

BuDDI: Bulk Deconvolution with Domain Invariance to predict cell-type-specific perturbations from bulk. by Natalie R Davidson, Fan Zhang, Casey S Greene

“…While single-cell experiments provide deep cellular resolution within a single sample, some single-cell experiments are inherently more challenging than bulk experiments due to dissociation difficulties, cost, or limited tissue availability. …”
Get full text

A coupled physical-biogeochemical modeling approach to investigate the dynamics of the Benguela Upwelling System by Amr Talaat Salama, Tomas Lovato, Momme Butenschön, Marco Zavatarelli

“…However, the system’s complexity, combined with data scarcity, has left its dynamics and long-term response to a warming climate insufficiently understood. …”
Get full text