Learning Constitutive Relations From Soil Moisture Data via Physically Constrained Neural Networks by Toshiyuki Bandai, Teamrat A. Ghezzehei, Peishi Jiang, Patrick Kidger, Xingyuan Chen, Carl I. Steefel

“…These soil hydraulic functions are commonly represented by models with a handful of parameters. …”
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Distribution and environmental drivers of macrofaunal nematode communities across gradients of methane seepage at cold seeps on Hikurangi Margin (New Zealand) and potential implica... by Daniel Leduc, Ashley A. Rowden, Ashley A. Rowden, Sarah Seabrook, David A. Bowden, Andrew R. Thurber, Andrew R. Thurber, Jane Halliday, Cliff S. Law, Cliff S. Law, Olivia S. Pereira, Bethany G. Whitten, Andrew Marriner

“…Although deposit feeders were generally the most abundant feeding group, there were differences in the relative abundances of different feeding groups such as microvores and epigrowth feeders among the seep areas, and as a function of distance from the centre of the seep areas. …”
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Aggregate pore and shape properties were more strongly correlated to soil organic carbon in large aggregates: Evidence from a long-term management-induced soil carbon gradient by Weijun Zhang, Lars J. Munkholm, Richard J. Heck, Christopher W. Watts, Johannes L. Jensen

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Investigation on Scaled CG-Type Algorithms for Unconstrained Optimization by Abbas Al-Bayati, Khalil Abo, Salah Shareef

“…The first is the scaled CG-method (obtained from function and gradient-values) which improves the search direction by multiplying to a scalar obtained from function value and its gradient at two successive points along the iterations. …”
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Tree-based attributes of large trees more effectively regulate aboveground carbon stock than trait-based ones in temperate deciduous forests by Maryam Kazempour Larsary, Hassan Pourbabaei, Ali Salehi, Rasoul Yousefpour, Arshad Ali

“…Here, we hypothesize that tree species’ functional strategies regulate AGCS by tree sizes in temperate deciduous forests across local scale environmental gradients. …”
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Enhancing temporal learning in recurrent spiking networks for neuromorphic applications by Ismael Balafrej, Soufiyan Bahadi, Jean Rouat, Fabien Alibart

“…Subsequently, we apply a biologically inspired branching factor regularization rule to stabilize the network’s dynamics and make training easier by incorporating a time-local error in the loss function. Lastly, we modify a commonly used surrogate gradient function by increasing its support to facilitate learning over longer timescales when using binary spikes. …”
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A Regularized Interface Model for Simulating the Response of Adhesive Joints by N. Valoroso

“…This is obtained using a gradient-based formulation, which is equivalent to the introduction of the laplacian of a scalar damage field into the threshold function of the corresponding local model. …”
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Explicit Model for Chiller Fault Diagnosis Based on Multi-objective Regression with Different Weights by Wu Kongrui, Han Hua, Yang Yuting, Lu Hailong, Ling Minbin

“…Based on the cross-entropy loss function and stochastic gradient descent algorithm, a weight regression fault diagnosis model was established for seven common faults in a chiller. …”
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Development of a machine learning model for predicting renal damage in children with closed spinal dysraphism by Yu He, Wan-liang Guo, Ming-chang Zhang

“…Identifying patients at highest risk for renal damage is essential for implementing early interventions, improving bladder management strategies, and preserving renal function. This study aims to develop an effective machine learning model to predict renal damage in children with CSD. …”
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Engine Mass Flow Estimation through Neural Network Modeling in Semi-Transient Conditions: A New Calibration Approach by T. Savioli, M. Pampanini, G. Visani, L. Esposito, C. A. Rinaldini

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Taxonomic and Trophic Groups Mediate Latitudinal Variation in Saproxylic Beetle Species Richness and Body Size Across Western Palaearctic Oak Forests by M. Franzen, N. Jansson, M. Avci, A. Brin, H. Brustel, J. Budka, J. Buse, G. Carpaneto, S. Chiari, L. Cizek, M. Coskun, J. Dagley, P. M. Hammond, E. Micó, T. Öncul Abacigil, T. Pavlicek, J. Schlaghamersky, P. Sebek, A. Sverdrup‐Thygeson, S. Vural Varli, L. Westerberg, I. Wilde, A. Zauli, P. Milberg

“…ABSTRACT We examined latitudinal gradients in species richness and body size of saproxylic beetles across 28 veteran oak forest sites spanning from Israel to Norway. …”
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Life-history plasticity of intertidal salt marsh in response to sea level rise: Salinity and inundation modulate size-dependent flowering of Spartina alterniflora by Jiayu Wang, Xincong Chen, Yueyue Wang, Yasong Chen, Hao Wu, Serina S. Wittyngham, Matthew L. Kirwan, Yuanye Zhang, Wenwen Liu, Yihui Zhang

“…Given that salt marsh ecosystem productivity and functioning are threatened by the increasing salinity and inundation duration associated with sea-level rise, our findings suggest that shifts in plant life history strategies promote sexual reproduction for regeneration and may contribute to the ecosystem resilience under global change.…”
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Optical band gap energy values in wurtzite InxGa1-xN by Т. Инербаев, Т. Матсиока, И. Кавазое

“…Various density functional methods are applied to optimize the atomic structures of the systems. …”
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An EfficientNetv2-based method for coal conveyor belt foreign object detection by Tao Hu, Deyu Zhuang, Jinbo Qiu

“…To address the potential gradient disappearance issue during the backpropagation process of the network, an elastic exponential linear unit (EELU) activation function is introduced. …”
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Comparison between traditional models and artificial neural networks as estimators of the growth of the Tigris scraper Capoeta umbla (Teleostei: Cyprinidae) in the Munzur River, Tu... by Ebru Ifakat Ozcan, Osman Serdar

“… In this study, a comparison of traditional growth methods (length-weight relationships and von Bertalanffy growth function) with artificial neural networks in growth models was carried out in the growth of 783 specimens of Capoeta umbla from the Munzur River, Turkey from September 2019 to May 2021. …”
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Feeling the World Differently: Sensory and Emotional Profiles in Preschool Neurodevelopmental Disorders by Federica Gigliotti, Maria Eugenia Martelli, Federica Giovannone, Carla Sogos

“…Higher cognitive functioning and fewer internalizing symptoms significantly predicted membership in the typical profile. …”
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Dynamic 3D-Network Coating Composite Enables Global Isolation of Phosphopeptides, Stepwise Separation of Mono- and Multi-Phosphopeptides, and Phosphoproteomics of Human Lung Cells by Linlin Liu, Zhenhua Chen, Danni Wang, Weida Liang, Binbin Wang, Chenglong Xia, Yinghua Yan, Chuanfan Ding, Xiaodan Meng, Hongze Liang

“…In this study, a newly designed IMAC adsorbent composite was constructed on the graphene matrix coated with mesoporous silica. The outer functional 3D-network layer was prepared by free radical polymerization of the phosphonate-functionalized vinyl imidazolium salt monomer and subsequent metal immobilization. …”
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Spatially Varying Selection Amplifies Intrapopulation Differentiation Among Phenotypic Traits in the Rocky‐Shore Mussel, Mytilus californianus by Casey S. Richards, Diana Vera Cruz, Jason W. Shapiro, J. Timothy Wootton, Catherine A. Pfister

“…ABSTRACT Strong ecological gradients along heterogeneous environments play an important role in shaping population differentiation across species ranges. …”
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Automated hypocenter determination of tectonic tremors in the Nankai subduction zone using convolutional neural networks combined with semblance analysis by Amane Sugii, Yoshihiro Hiramatsu, Takahiko Uchide, Kazutoshi Imanishi

“…The probability of tectonic tremor as a function of the signal-to-noise ratio (SNR) increased steeply from 10 to 90% at an SNR of 4. …”
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Applying interpretable machine learning to assess intraspecific trait divergence under landscape‐scale population differentiation by Sambadi Majumder, Chase M. Mason

“…Abstract Premise Here we demonstrate the application of interpretable machine learning methods to investigate intraspecific functional trait divergence using diverse genotypes of the wide‐ranging sunflower Helianthus annuus occupying populations across two contrasting ecoregions—the Great Plains versus the North American Deserts. …”
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