Solar energy resource availability under extreme and historical wildfire smoke conditions by Kimberley A. Corwin, Jesse Burkhardt, Chelsea A. Corr, Paul W. Stackhouse, Amit Munshi, Emily V. Fischer

“…., amount of direct normal (DNI) and global horizontal (GHI) irradiance] at different spatial and temporal scales using radiative transfer model output and satellite-based smoke, aerosol, and cloud observations. …”
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Emergence of cellular nematic order is a conserved feature of gastrulation in animal embryos by Xin Li, Robert J. Huebner, Margot L. K. Williams, Jessica Sawyer, Mark Peifer, John B. Wallingford, D. Thirumalai

“…To explain the common physical mechanism, we created a theoretical model that not only explains the experimental observations but also predicts that the nematic phase should be disrupted upon loss of planar cell polarity (frog), cell adhesion (frog), and notochord boundary formation (zebrafish). …”
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Spatiotemporal orchestration of calcium-cAMP oscillations on AKAP/AC nanodomains is governed by an incoherent feedforward loop. by Lingxia Qiao, Michael Getz, Ben Gross, Brian Tenner, Jin Zhang, Padmini Rangamani

“…In this work, we develop computational models of the Ca2+/cAMP pathway and AKAP/AC nanodomain formation that give rise to the two important predictions: instead of an arbitrary phase difference, the out-of-phase Ca2+/cAMP oscillation reaches Ca2+ trough and cAMP peak simultaneously, which is defined as inversely out-of-phase; the in-phase and inversely out-of-phase oscillations associated with Ca2+-cAMP dynamics on and away from the nanodomains can be explained by an incoherent feedforward loop. …”
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DTCNet: finger flexion decoding with three-dimensional ECoG data by Fufeng Wang, Zihe Luo, Wei Lv, XiaoLin Zhu

“…Specifically, current models tend to confuse the movement information of different fingers and fail to fully exploit the dependencies within time series when predicting long sequences, resulting in limited decoding performance. …”
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On the Formation of Planets in the Milky Way’s Thick Disk by Tim Hallatt, Eve J. Lee

“…Disk temperatures exceed the sublimation temperatures of common volatile species for ≳Myr timescales, predicting more spatial homogeneity in gas chemical composition. …”
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Multi-source Data-driven Analysis of Deformation and Influencing Factors for Expansive Soil Canal Slopes by ZHANG Yuhan, HU Jiang, LI Xing

“…Furthermore, a self-explaining neural network (SENN) model incorporating an attention mechanism is developed to predict canal slope deformation. …”
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Hydrodynamic and hydro acoustic analysis of marine propeller in off design flow conditions. by Ammar Nazeer, Niaz Bahadur Khan, Emad Uddin, Mohammed Jameel, Omar Al-Abbasi, Qian Wu, Adnan Munir, Hanzla Shahid

“…Computation of hydrodynamic coefficients across spatial directions provides insight into loading impacts on performance. …”
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Homes and Hands United: Bridging Housing and Labour Struggles at McMaster University by Elliot Goodell Ugalde

“…The analysis underscores that, despite Hamilton’s persistent identity as a major steel producer, the city's gradual pivot toward real estate investment and intellectual labour exemplifies David Harvey's concept of a ""spatial fix,"" redirecting surplus capital and labour into the university sector, thus complicating the intersection of housing affordability and labour precarity."…”
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Assessing agri-environmental strategies to reduce pesticide concentrations in surface drinking water sources, Coastal Charente River basin, SW France by Odile Phelpin, Françoise Vernier, Kévin Petit, David Carayon

“…Realistic agri-environmental scenarios with combined agronomic orientations were tested using a well-calibrated ecohydrological model. Their performance was quantified based on pesticide concentration reductions in freshwater bodies, focusing on temporal and spatial variability, using non-parametric tests. …”
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Canopy Randomness, Scale, and Stem Size Effects on the Interfacial Transfer Process in Vegetated Flows by Chien‐Yung Tseng, Rafael O. Tinoco

“…The study provides critical insight into water quality management in vegetated channels with improved dissolved oxygen predictions considering vegetation layout as part of the interfacial transfer model.…”
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Boltzmann energy-based image analysis demonstrates that extracellular domain size differences explain protein segregation at immune synapses. by Nigel J Burroughs, Karsten Köhler, Vladimir Miloserdov, Michael L Dustin, P Anton van der Merwe, Daniel M Davis

“…Here, we address this challenge, developing a new methodology for analysing and quantifying image data and its integration with biophysical models. Specifically we fit a binding kinetics model to 2 colour fluorescence data for cytoskeleton independent synapses (2 and 3D) and test whether the observed inverse correlation between fluorophores conforms to size dependent exclusion, and further, whether patterned states are predicted when model parameters are estimated on individual synapses. …”
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A Feature Integration Network for Multi-Channel Speech Enhancement by Xiao Zeng, Xue Zhang, Mingjiang Wang

“…To further enhance the feature integration, we fuse the outputs of these branches using a spatial attention module. The model is trained to predict the complex ratio mask (CRM), thereby improving the quality of the enhanced signal. …”
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Data-Efficient Sowing Position Estimation for Agricultural Robots Combining Image Analysis and Expert Knowledge by Shuntaro Aotake, Takuya Otani, Masatoshi Funabashi, Atsuo Takanishi

“…The model’s predictions were comparable to those of intermediate-to-advanced practitioners across diverse field conditions. …”
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Early Warning of Nerve Agent Release in Large Indoor Environments Based on Encoder-Decoder Coupling Physics-Informed Neural Network by Shuobei Sun, Yang Peng, An Wang, Yiwen Xie, Yang Hu, Zhongyu Hou

“…Therefore, in this work, a new model called Encoder-Decoder Coupling Physics-Informed Neural Network is proposed, which learns from concentration data generated by experimentally validated CFD simulations and the spatio-temporal information to solve high-dimensional partial differential equations and provide predictions of nerve agents distribution that more closely align with objective physical laws. …”
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FROM PIXELS TO DIAGNOSIS: A DEEP LEARNING FRAMEWORK FOR HISTOPATHOLOGICAL IMAGE ANALYSIS IN CANINE TESTICULAR PATHOLOGY

“…The incorporation of saliency mapping has enhanced the consistency of predictions, offering a level of interpretability that supports pathological validation. …”
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Le rôle des facteurs locaux sur les effets des changements climatiques au Quaternaire supérieur sur les environnements naturel du Néguev septentrional by Aaron Yair

“…However; existing global models are not yet capable of predicting accurately the evolution of regional climates and their possible impact on the environment. …”
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Simulation of urban development in the City of Rome: Framework, methodology, and problem solving by Simone Di Zio, Armando Montanari, Barbara Staniscia

“…In Italy’s case, the implementation of the UrbanSIM model involved the territory of Rome, including the municipalities of Rome and Fiumicino. …”
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Comparison of Deep and Machine Learning Approaches for Quebec Tree Species Classification Using a Combination of Multispectral and LiDAR Data by Omid Reisi Gahrouei, Jean-François Côté, Philippe Bournival, Philippe Giguère, Martin Béland

“…The results indicated that Dense Convolution Network (DenseNet) achieved the best overall accuracy of 78%, outperforming machine learning methods by 5%. In addition, the models’ performance was independently assessed using permanent and temporary ground sample plots, acknowledging the superiority of DenseNet in terms of overall accuracy (73%) in predicting the dominant species. …”
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Mapping the global distribution of livestock. by Timothy P Robinson, G R William Wint, Giulia Conchedda, Thomas P Van Boeckel, Valentina Ercoli, Elisa Palamara, Giuseppina Cinardi, Laura D'Aietti, Simon I Hay, Marius Gilbert

“…The Gridded Livestock of the World (GLW) database, produced in 2007, provided modelled livestock densities of the world, adjusted to match official (FAOSTAT) national estimates for the reference year 2005, at a spatial resolution of 3 minutes of arc (about 5×5 km at the equator). …”
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Tensor network analysis of the maple-leaf antiferromagnet spangolite by Philipp Schmoll, Harald O. Jeschke, Yasir Iqbal

“…Experimental measurements revealed a non-magnetic ground state at T ~ 8 K with magnetic properties dominated by dimerization. We propose a spatially anisotropic Heisenberg model for the Cu2+ spin-1/2 degrees of freedom on this geometrically frustrated and effectively two-dimensional maple-leaf lattice, featuring five symmetry inequivalent couplings with ferromagnetic bonds on hexagons and antiferromagnetic triangular bonds. …”
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