Vegetation structure and phenology primarily shape the spatiotemporal pattern of ecosystem respiration by Cenliang Zhao, Wenquan Zhu

“…Current large-scale TER models rely on empirical structures derived from site-scale observations, often driven solely by hydrothermal factors. …”
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The First‐Order Crustal Structure and Basin Architecture of the Canadian Arctic Margin by Randell Stephenson, Goodluck Anudu

“…These maps show margin‐scale structural patterns that can be interpreted in terms of fundamental tectonic processes of lithosphere deformation. …”
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Spatial–Temporal Variability of Soybean Yield Using Separable Covariance Structure by Tamara Cantú Maltauro, Miguel Angel Uribe-Opazo, Luciana Pagliosa Carvalho Guedes, Manuel Galea, Orietta Nicolis

“…Thus, incorporating a spatiotemporal model with a separable covariance structure increases the accuracy and interpretability of soybean yield analyses, making it a more effective tool for decision-making in precision agriculture.…”
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HisCoM-PCA: software for hierarchical structural component analysis for pathway analysis based using principal component analysis by Nan Jiang, Sungyoung Lee, Taesung Park

“…We proposed a novel method of hierarchical structural component model (HisCoM) for pathway analysis of common variants (HisCoM for pathway analysis of common variants [HisCoM-PCA]) which was used to identify pathways associated with traits. …”
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Automatic detection of cognitive events using machine learning and understanding models’ interpretations of human cognition by Quang Dang, Murat Kucukosmanoglu, Michael Anoruo, Golshan Kargosha, Sarah Conklin, Justin Brooks

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A clinically interpretable model derived from skin conductance for assessing microangiopathy of the skin surface by Ximing Zhu, ShihChun Chu, Jie Fu, Siyu Ao, Tingting Liu, Ziming Liao, Jiamei Song, Yuhong Wang, Yanping Guo, Qinghong Song, Pengfei Liu, Shuang Li, Bing Chen, Bin Yao

“…For the assessment of microangiopathy, a low-cost, simple, effective, and clinically interpretable model was proposed that relies on individual skin conductance data, collected from 28 patients with lower extremity arterial occlusion. …”
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A Chronic Kidney Disease Diagnostic Model Based on an Interpretable Deep Belief Rule Base by Yawen Zhao, Kexin Zhang, Xiping Duan, Shuping Che, Ning Ma

“…The model leverages a deep BRB structure to enhance scalability and prevent rule explosions. …”
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Interpretable prediction model for hand-foot-and-mouth disease incidence based on improved LSTM and XGBoost by Xiao LI, Shuyu HE, Yan PENG, Rongxin YANG, Lu TAO, Tingqi LOU, Wenqi HE

“…In order to address the issues of low accuracy and poor interpretability in existing HFMD incidence prediction models, in this paper, we propose an interpretable prediction model, namely, ARIMA–LSTM–XGBoost, which integrates multiple meteorological factors with Autoregressive integrated moving average model (ARIMA), Long short-term memory (LSTM), Extreme gradient boosting (XGBoost), Grey wolf optimizer (GWO), Genetic algorithm (GA) and Shapley additive explanations (SHAP). …”
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Analysis of the Band-Structure in (Ga, Mn)As Epitaxial Layers by Optical Methods by O. Yastrubchak

“…We have investigated thick (800-700 nm and 230-300 nm) (Ga, Mn)As layers with Mn content in the wide range from 0.001 % to 6 % and, as a reference, undoped GaAs layer, grown by LT-MBE on semi-insulating (001) GaAs substrates. Our findings were interpreted in terms of the model, which assumes that the mobile holes residing in the valence band of ferromagnetic (Ga, Mn)As and the Fermi level position determined by the concentration of valence-band holes. …”
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Learning motif features and topological structure of molecules for metabolic pathway prediction by Jianguo Hu, Yiqing Zhang, Jinxin Xie, Zhen Yuan, Zhangxiang Yin, Shanshan Shi, Honglin Li, Shiliang Li

“…Scientific contribution MotifMol3D integrates motif information, graph neural networks, and 3D structural data to enhance feature extraction for small-sample molecules, improving the precision and interpretability of metabolic pathway predictions. …”
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Career Anchors Reimagined: Expertise, Stability and Recognition in Structured Organizational Fields by Simionca Anca Simona

“…The study contributes a grounded critique of protean and boundaryless career models, proposing an alternative understanding of stability, ambition, and growth in contemporary structured work environments.…”
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Travel Matrix Decomposition for Understanding Spatial Long-Distance Travel Structure by Hiromichi Yamaguchi, Mashu Shibata, Shoichiro Nakayama

“…Considering this approach, the origin-destination matrix decomposes into two variables (indicators): destination amenity and travel cost. They can be interpreted as composite indicators of several variables that are treated in the travel-destination choice multinomial logit model. …”
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An Implementable First-Order Primal-Dual Algorithm for Structured Convex Optimization by Feng Ma, Mingfang Ni, Lei Zhu, Zhanke Yu

“…Many application problems of practical interest can be posed as structured convex optimization models. In this paper, we study a new first-order primaldual algorithm. …”
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Dialogical structure of the brain and the ternary system of the mind: the neurosemiotics of Yuri Lotman by Marco Sanna

“…We can consider this as a “third” structure of intersection between the two hemispheres, which actively operates to translate specialized information systems reciprocally. …”
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Human Development XII: A Theory for the Structure and Function of the Human Brain by Søren Ventegodt, Tyge Dahl Hermansen, Isack Kandel, Joav Merrick

“…The human brain is probably the most complicated single structure in the biological universe. The cerebral cortex that is traditionally connected with consciousness is extremely complex. …”
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Hydromechanical Structure of the Cochlea Supports the Backward Traveling Wave in the Cochlea In Vivo by Fangyi Chen, Dingjun Zha, Xiaojie Yang, Allyn Hubbard, Alfred Nuttall

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Bayesian variable selection with graphical structure learning: Applications in integrative genomics. by Suprateek Kundu, Yichen Cheng, Minsuk Shin, Ganiraju Manyam, Bani K Mallick, Veerabhadran Baladandayuthapani

“…The integrative structure learning is first accomplished through novel joint graphical models for heterogeneous (mixed scale) data, allowing for flexible and interpretable incorporation of prior existing knowledge. …”
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STRUCTURE OF SUPER QUARTZITE AT THE BURAL-SARDYK DEPOSIT, EAST SAYAN MOUNTAINS by А. М. Mazukabzov, А. М. Fedorov, A. I. Nepomnyashchikh

“…The authors propose an interpretation of the formation of the deposit structure. …”
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Chicxulub central zone structure and stratigraphy—PEMEX exploration drilling program by Jaime Urrutia-Fucugauchi, Jaime Urrutia-Fucugauchi, Ligia Pérez-Cruz, Ligia Pérez-Cruz, Ligia Pérez-Cruz, Axel Wittmann, José A. Arz, Ignacio Arenillas, Long Xiao, Jiawei Zhao, Vicente Gilabert, Eduardo Salguero-Hernandez

“…The Chicxulub crater was formed by the impact of an asteroid ∼66 Ma ago at the Cretaceous/Paleogene boundary on a carbonate platform in the southern Gulf of Mexico. The impact’s structure is not exposed at the surface, requiring drilling and geophysical surveys to study it. …”
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Interpreting Microbial Species–Area Relationships: Effects of Sequence Data Processing Algorithms and Fitting Models by Fu-Liang Qi, Wei Deng, Yi-Ting Cheng, Xiao-Yan Yang, Na Li, Wen Xiao

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