Scale-dependent effects of tree species diversity on soil erosion resistance by Huaqing Liu, Xiaodong Gao, Xining Zhao

“…However, the understanding of the effects of tree species diversity on soil erodibility across spatial scales remains incomplete. This study employed the Universal Soil Loss Equation model to quantify soil erodibility and aligned it with tree species diversity data obtained from the Global Forest Biodiversity Initiative database. …”
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Attention-based multi-scale convolution and conformer for EEG-based depression detection by Ze Yan, Ze Yan, Ze Yan, Yumei Wan, Xin Pu, Xiaolin Han, Mingming Zhao, Haiyan Wu, Wentao Li, Xueying He, Yunshao Zheng

“…The AMPC module captures temporal features through multiscale convolutions and extracts spatial features using depthwise separable convolutions, while applying the ECA attention mechanism to weigh key channels, enhancing the model’s focus on crucial electrode channels. …”
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Greening‐Induced Biophysical Impacts Lead to Earlier Spring and Autumn Phenology in Temperate and Boreal Forests by Jing Guo, Jinmei Wang, Yuxin Qiao, Xu Huang, Nicholas G. Smith, Zhiyong Liu, Rui Zhang, Xiuzhi Chen, Chaoyang Wu, Josep Peñuelas, Lei Chen

“…It is crucial to consider these greening‐induced alterations in microclimate conditions when modeling changes in tree phenology under future climate warming scenarios.…”
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Forecasting Stock Market Volatility Using Housing Market Indicators: A Reinforcement Learning-Based Feature Selection Approach by Pourya Zareeihemat, Samira Mohamadi, Jamal Valipour, Seyed Vahid Moravvej

“…We propose a sophisticated Early Warning System (EWS) designed to forecast stock market instability by leveraging the predictive power of housing market bubbles. Current EWS methods often face significant hurdles, including model generalization, feature selection, and hyperparameter optimization challenges. …”
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Computed Tomography‐Based Habitat Analysis for Prognostic Stratification in Colorectal Liver Metastases by Chaoqun Zhou, Hao Xin, Lihua Qian, Yong Zhang, Jing Wang, Junpeng Luo

“…Compared with CRS and TBS, the habitat model demonstrated superior predictive accuracy, particularly for DFS and liver‐specific DFS, with higher time‐dependent AUC values and improved model calibration (lower IBS). …”
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Location of capture sufficiently characterises lifetime growth trajectories in a highly mobile fish by Joshua S. Barrow, Jian D. L. Yen, John D. Koehn, Brenton Zampatti, Ben Fanson, Jason D. Thiem, Zeb Tonkin, Wayne M. Koster, Gavin L. Butler, Arron Strawbridge, Steven G. Brooks, Ryan Woods, John R. Morrongiello

“…The predictive capacity of annual growth models slightly improved from the basin to the reach spatial scales (inclusive or exclusive of movement histories). …”
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Réduire le nombre de députés en France métropolitaine. Quel mode d’affectation, pour quelle représentation nationale ? by Cyrille Genre-Grandpierre, Guillaume Marrel, Mathieu Coulon

“…Simulations have pointed out that it is very difficult to attain equitable representation for both populations and territories if the current principles of political representation are maintained in the representative democracy model. In order to limit inequalities in representation, the reduction in the number of MPs must be accompanied by rule modifications to enable greater flexibility in the allocation process, in particular by preferring a regional rather than departmental allocation for MPs. …”
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Aboveground Carbon Estimation in a Mangrove Ecosystem Using UAV-Based Remote Sensing and Machine Learning by Menglei Duan, Arturo Sanchez-Azofeifa, Muhammad Abdulmajeed, David Turner, Kathleen Buckingham, Agatha Odari, Josphat Mtwana, Solomon Kipkoech, Neda Kasraee

“…Instead of plot-level metrics, which lack detailed spatial information about individual trees or areas smaller than the mapping unit, our model was developed based on tree-level metrics, using data on hundreds of trees from fewer forest inventory plots. …”
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Explaining drivers of housing prices with nonlinear hedonic regressions by Heng Wan, Pranab K. Roy Chowdhury, Jim Yoon, Parin Bhaduri, Vivek Srikrishnan, David Judi, Brent Daniel

“…We then conduct sensitivity and Partial Dependence Plot (PDP) analyses to interpret the fitted ANN model. We find that the ML model achieves higher predictive accuracy and explains 16 % more of housing price variance than a traditional linear regression model. …”
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Less Is More: Brain Functional Connectivity Empowered Generalizable Intention Classification With Task-Relevant Channel Selection by Haowei Lou, Zesheng Ye, Lina Yao, Yu Zhang

“…Inevitably, the sensory electrodes on the entire scalp would collect signals irrelevant to the particular BCI task, increasing the risks of overfitting in machine learning-based predictions. While this issue is being addressed by scaling up the EEG datasets and handcrafting the complex predictive models, this also leads to increased computation costs. …”
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Exploring the determinants of thyroid disorders in high-altitude western Himalaya: a geospatial and epidemiological study by Arshad Ahmed, Kheraj, Alireza Mohammadi, Robert Bergquist

“…Geographic information systems were utilized to map the spatial distribution of thyroid disorder prevalence, and the model’s predictive accuracy was validated using receiver operating characteristic (ROC). …”
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Using random forests to forecast daily extreme sea level occurrences at the Baltic Coast by K. Bellinghausen, B. Hünicke, E. Zorita

“…<p>We have designed a machine learning method to predict the occurrence of daily extreme sea level at the Baltic Sea coast with lead times of a few days. …”
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Human perception of self-motion and orientation during galvanic vestibular stimulation and physical motion. by Aaron R Allred, Caroline R Austin, Lanna Klausing, Nicholas Boggess, Torin K Clark

“…Subsequently, we develop a novel computational model that predicts 6DoF self-motion and self-orientation perceptions for any GVS waveform and motion by modeling the vestibular afferent neuron dynamics modulated by GVS in conjunction with an observer central processing model. …”
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Combined simulation of fatigue crack nucleation and propagation based on a damage indicator by M. Springer, M. Nelhiebel, H. E. Pettermann

“…Locations of fatigue crack emergence are predicted by these indicators and material degradation is utilized to model local material failure. …”
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Identifying monthly rainfall erosivity patterns using hourly rainfall data across India by Subhankar Das, Manoj Kumar Jain, Karl Auerswald, Carlos Rogerio de Mello, Peter Molnar

“…Monthly erosivity estimates derived from hourly data were linked with monthly rainfall, enabling a simplified and efficient estimation approach. To predict monthly erosivity based on rainfall, temperature, and topographic variables, we developed and evaluated three modeling approaches: linear regression, a machine learning-based XGBoost model, and an ensemble model. …”
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An Improved Fault Diagnosis Method and Its Application in Compound Fault Diagnosis for Paper Delivery Structure Coupling by Fu Liu, Haopeng Chen, Yan Wang

“…To overcome these limitations, a multihead self-attention mechanism-enhanced empirical mode decomposition (EEMD)–convolutional neural network (CNN)–bidirectional long short-term memory (BiLSTM) model is proposed. Empirical mode decomposition (EMD) is first applied to extract spatial features from the data. …”
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Uncovering the phytotoxicity of typical perovskite nanomaterials in peanut plants by Ziqian Li, Hong Liu, Yunmu Xiao, Ke Min, Yuliang Pan, Yong Li, Wende Yan

“…This study systematically investigates the phytotoxic mechanisms of lead-based perovskite solar cells (Pb-PSCs), an emerging energy nanomaterial, using the deep-rooted leguminous crop Arachis hypogaea L. (peanut) as a model system. Multi-scale analyses integrating physiological, spatial elemental imaging, and omics approaches revealed that Pb-PSC exposure induced significant morphological impairments, including root morphogenesis inhibition and stem elongation reduction. …”
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Finance-driven sustainable development: the impact of green finance on agricultural non-point source pollution and its pathways by Yang Shen, Xiuwu Zhang

“…These measures are intended to improve the green finance system and business model in agriculture and rural areas.…”
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Temperature measuring points selection based on the effect of thermal deformation of components by Haiyang Liu, Xianying Feng, Yandong Liu, Ming Yao, Anning Wang

“…The spatial transmission model is constructed by the transfer mechanism of deformation errors in the mating surfaces and homogeneous coordinate transformation. …”
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Spatiotemporal, environmental, and behavioral predictors of Varroa mite intensity in managed honey bee apiaries. by Laura Boehm Vock, Lauren M Mossman, Zoi Rapti, Adam G Dolezal, Sara M Clifton

“…We examine risk factors for Varroa infestation using apiary inspection data collected across the state of Illinois over 2018-2019, and we test the models using inspection data from 2020-2021. After accounting for spatial and temporal trends, we find that most environmental factors (e.g., floral quality, insecticide load) are not predictive of Varroa intensity, while lower numbers of nearby apiaries and several beekeeper behaviors (e.g., supplemental feeding and mite monitoring/treatment) are protective against Varroa. …”
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