Variable domain mutational analysis to probe the molecular mechanisms of high viscosity of an IgG1 antibody by Jing Dai, Saeed Izadi, Jonathan Zarzar, Patrick Wu, Angela Oh, Paul J. Carter

“…Here, we combined X-ray crystallography with computational modeling to predict regions of an anti-glucagon receptor (GCGR) IgG1 antibody prone to self-interaction. …”
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The solution space of a five-dimensional geometry: Kundt spacetimes and cosmological time-crystals by Homa Shababi, Theophanes Grammenos, Nikolaos Dimakis, Andronikos Paliathanasis, Theodosios Christodoulakis

“…We uncover the solution space of a five dimensional geometry which we deem it as the direct counterpart of the Bianchi Type V cosmological model. We kinematically reduce the scale factor matrix and then, with an appropriate scaling and choice of time, we cast the spatial equations into a simple “Kasner” like form; thus revealing linear integrals of motion. …”
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Feature Fusion Graph Consecutive-Attention Network for Skeleton-Based Tennis Action Recognition by Pawel Powroznik, Maria Skublewska-Paszkowska, Krzysztof Dziedzic, Marcin Barszcz

“…The proposed model demonstrated excellent tennis movement prediction ability.…”
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Side Null Analysis of the Main-Auxiliary Antenna Array for Noncooperative Interference Cancellation by ZheYu Li, JiaHao Zhang, YaXing Li, FangMin He, HongZhang Gao, Jin Meng

“…And the cancellation ratio of the desired signal (SCR) is deduced to quantitatively characterize the side null. The spatial noncooperative interference cancellation model based on the main-auxiliary antenna array is established. …”
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Early detection of Zymoseptoria tritici infection on wheat leaves using hyperspectral imaging dataData INRAE by Lorraine Latchoumane, Martin Ecarnot, Ryad Bendoula, Jean-Michel Roger, Silvia Mas-Garcia, Heloïse Villesseche, Flora Tavernier, Maxime Ryckewaert, Nathalie Gorretta, Pierre Roumet, Elsa Ballini

“…These data are valuable since they can be used as a basis to monitor disease's development over time, to build leaf classification models according to their infection status per genotype per day, to develop prediction models related to symptoms' appearance, or to test imaging and spectral analysis methods.…”
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Application of the Poor Man's Navier-Stokes Equations to Real-Time Control of Fluid Flow by James B. Polly, J. M. McDonough

“…-S. system at specific spatial locations. Herein, we outline derivation of these equations and discuss their basic properties. …”
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A high-accuracy exponential time integration scheme for the Darcy–Forchheimer Williamson fluid flow with temperature-dependent conductivity by Arif Muhammad Shoaib

“…Accurately modelling non-Newtonian fluid flow through porous media is vital in several industrial and engineering processes, particularly where inertial effects and temperature-dependent properties are critical. …”
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Canopy height mapping in French Guiana using multi-source satellite data and environmental information in a U-Net architecture by Kamel Lahssini, Nicolas Baghdadi, Guerric le Maire, Guerric le Maire, Ibrahim Fayad, Ibrahim Fayad, Ludovic Villard

“…The study demonstrates that relevant environmental descriptors, namely, height above nearest drainage (HAND) and forest landscape types (FLT), significantly contribute to the model’s accuracy, highlighting that these descriptors bring important information on canopy structural properties and that the CHNET framework can efficiently use this information to improve canopy height prediction. …”
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Cannabidiol as a multifaceted therapeutic agent: mitigating Alzheimer's disease pathology and enhancing cognitive function by Iu Raïch, Jaume Lillo, Joan Biel Rebassa, Christian Griñán-Ferré, Aina Bellver-Sanchis, Irene Reyes-Resina, Rafael Franco, Mercè Pallàs, Gemma Navarro

“…Moreover, CBD treatment was shown to reduce neuroinflammation, as CBD was able to skew microglia towards a neuroprotective M2 phenotype while attenuating proinflammatory cytokine release in the 5xFAD AD mouse model. Notably, daily CBD injections (10 mg/Kg) for 28 days in 5xFAD mice resulted in significant improvements in both short- and long-term spatial memory. …”
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Simulation study on the thermal response characteristics of the encapsulated perfluorohexanone extinguishing agent by Yu Wenqi, Zhang Tianwei, Guo Zidong, Liu Hao, Yuan Jianhua

“…This study employs numerical simulation to investigate the thermal response characteristics by observing the phase changes of microcapsules in confined spaces and their spatial cooling effects. It establishes a numerical heat transfer model and validates its effectiveness through experiments. …”
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Effects of vector control interventions on spatio-temporal changes of falciparum malaria risk in children aged 2–10 in sub-Saharan African regions during 2011–2020 by Changkuoth Jock Chol, Changkuoth Jock Chol, Denekew Bitew Belay, Denekew Bitew Belay, Haile Mekonnen Fenta, Haile Mekonnen Fenta, Haile Mekonnen Fenta, Ding-Geng Chen, Ding-Geng Chen

“…The auto-regressive process reveals a highly significant temporal correlation, while the global spatial dependency parameter indicates a modest spatial correlation. …”
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Effect of variation in gridded cattle diet composition on estimated enteric methane emissions in data sparse tropical regions by J.Y. Mutua, A.J. Duncan, T.P. Robinson, S. Fraval, A.M.O. Notenbaert, G.R. Watmough

“…It is crucial to revise default values for production systems to improve results from livestock emission models, thus informing better national-level strategies for emission reduction.…”
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The type I collagen paradox in PDAC progression: microenvironmental protector turned tumor accomplice by Qian Li, Cheng Yang, Junqiang Li, Ronglin Wang, Jie Min, Yang Song, Haichuan Su

“…Unlike the pro-tumorigenic role caused by excessive deposition in other cancers, PDAC features a dense stroma with spatial heterogeneity, where Col I deposition exhibits paradoxical pro- and anti-tumor effects: Cancer-associated fibroblasts secrete heterotrimeric Col I (α1/α1/α2), which initially suppresses tumor growth by recruiting M1 macrophages, while tumor cells produce homotrimeric Col I (α1/α1/α1, 2–3% of total Col I) to promote immune evasion via CXCL5 secretion and CD8+ T cell reduction. …”
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Efficient Region-Wise Packing of Stereoscopic ERP Videos Based on Information Loss Minimization by Hossein Pejman, Stephane Coulombe, Carlos Vazquez, Ahmad Vakili

“…To address these challenges, sub-sampled versions of the left and right views are usually used to form the spatial FC format, leading to a loss of visual quality. …”
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Association between landscape transformation and the Chagas disease vector dynamics in a rural area with continuous surveillance and control by Leonardo Sandon, Diego Weinberg, Manuel O. Espinosa, Marcelo C. Abril, Roberto Chuit, Ximena Porcasi, Maria V. Periago

“…These findings underscore the importance of integrating environmental and spatial factors into CD control programs to achieve certification of transmission-free areas and reduce the burden of CD in endemic regions. …”
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Neurophysiological predictors of deep learning based unilateral upper limb motor imagery classification by Justin Sonntag, Lin Yu, Xilu Wang, Thomas Schack

“…To understand whether neurophysiological features, which are directly related to neural mechanisms of motor imagery, might influence classification accuracy, most studies have largely leveraged traditional machine learning frameworks, leaving deep learning-based techniques underexplored.MethodsIn this work, three different deep learning models from the literature (EEGNet, FBCNet, NFEEG) and two common spatial pattern-based machine learning classifiers (SVM, LDA) were used to classify imagined right elbow flexion and extension from participants using electroencephalography data. …”
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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

“…The cross‐sectional method outperformed the neural network method overall. Its prediction accuracy varied according to channel size and type, with overall precision of 0.87 and recall of 0.80. …”
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Numerical Study on Heat Leakage, Thermal Stratification, and Self-Pressurization Characteristics in Liquid Helium Storage Tanks by Jing Xu, Fa’an Liu, Jianguo Zhang, Chao Li, Qinghua Liu, Changjun Li, Wenlong Jia, Shixiong Fu, Longjiang Li

“…It is shown that the predictive performance of the mLee model for the self-boosting characteristics (relative deviation of 14.32%) was significantly improved compared with that of the Lee model (relative deviation of 39.64%). …”
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Evaluation of impact of surface dynamic subsidence on construction of pumped storage hydropower plants in abandoned open-pit mines by Yang LI, Xinghai LEI, Nan WANG, Yuqi REN, Xiangyang JIN, Ke WANG, Kuichao JIANG, Peng GE, Xue XIA, Tiezheng LI, Xiaoming SHI, Yuliang WANG

“…The modified Knothe time function model that comprehensively considers the interaction between underground and open-pit mining can more accurately predict surface dynamic subsidence. …”
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Particle size and inter-particle spacing effect on thermal performance of MHD copper nanofluid flow over dual-stretching rectangular frame: ANN-based simulations by Adil Darvesh, Fethi Mohamed Maiz, Luis Jaime Collantes Santisteban, Talha Anwar, Khalid Almutairi

“…The resulting system is solved using the bvp4c framework, while artificial neural network (ANN) is developed to train the solution data for robust predictions under varying parameter conditions. It is worth noting that the proposed ANN model yields a mean squared error (MSE) of 1.679e−10 and a regression coefficient of 1, which indicates the excellent predictive accuracy and ensures model efficacy. …”
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