PortraitEmotion3D: A Novel Dataset and 3D Emotion Estimation Method for Artistic Portraiture Analysis by Shao Liu, Sos Agaian, Artyom Grigoryan

“…The integration of our module yields an average accuracy improvement of over 1% in recent FER systems. …”
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Multi-Objective Decision-Making Evaluation Method of Environmental Impact Associated with the Life Cycle of Agro-Friendly Biochar Materials by Shunyang Wang, Jing Wei, Hua Li, Da Ding, Yaxin Zhang, Yuen Zhu, Shaopo Deng, Yongming Luo

“…Sensitivity analysis further confirmed the robustness of the method, with impact variations ranging from 0.44 to 0.52, suggesting the model’s reliability in comparing different remediation materials. …”
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The Role of Visual Information Quantity in Fine Motor Performance by Giulia Panconi, Vincenzo Sorgente, Sara Guarducci, Riccardo Bravi, Diego Minciacchi

“…Tracing tasks provide an ecological method for studying these movements and investigating sensorimotor processes. …”
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Applicability of Machine Learning and Mathematical Equations to the Prediction of Total Organic Carbon in Cambrian Shale, Sichuan Basin, China by Majia Zheng, Meng Zhao, Ya Wu, Kangjun Chen, Jiwei Zheng, Xianglu Tang, Dadong Liu

“…This study introduces three key innovations to address these challenges: (1) A Dynamic Weighting–Calibrated Random Forest Regression (DW-RFR) model integrating high-resolution Gamma-Ray-guided dynamic time warping (±0.06 m depth alignment precision derived from 237 core-log calibration points using cross-validation), Principal Component Analysis-Deyang–Anyue Rift Trough Shapley Additive Explanations (PCA-SHAP) hybrid feature engineering (89.3% cumulative variance, VIF < 4), and Bayesian-optimized ensemble learning; (2) systematic benchmarking against conventional ΔlogR (R² = 0.700, RMSE = 0.264) and multi-attribute joint inversion (R² = 0.734, RMSE = 0.213) methods, demonstrating superior accuracy (R² = 0.917, RMSE = 0.171); (3) identification of Gamma Ray (r = 0.82) and bulk density (r = −0.76) as principal TOC predictors, contrasted with resistivity’s thermal maturity-dependent signal attenuation (r = 0.32 at Ro > 3.0%). …”
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DMS-OGSTV: A Novel Infrared Small Target Detection Based on Spatial-Temporal Tensor Model by Xiaoling Ge, Weixian Qian, Zipeng Fu

“…Next, for more precise background estimation, we use an accurate low-rank approximation and extend the overlapping group sparse total variation (OGSTV) regularization from 2D to 3D. Compared to traditional variational methods, 3D-OGSTV better distinguishes edges from flat regions, improving background suppression and detection accuracy. …”
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A Self-Attention Enhanced Deep CNN-LSTM-Based Irregular Surface Recognition Approach for Integration Into Lower Limb Prosthesis Systems to Ensure Safety Through Predictive Walking by Norazian Subari, Kamarul Hawari Ghazali, Yuanfa Ji

“…To address these challenges, integrating inertial measurement units (IMUs) with artificial intelligence (AI) techniques, particularly deep learning (DL) methods, has emerged as a promising solution for surface classification and safety enhancement. …”
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Inertial subgradient-type algorithm for solving equilibrium problems with strong monotonicity over fixed point sets by Manatchanok Khonchaliew, Narin Petrot

“…Abstract This paper introduces an inertial subgradient-type algorithm for solving equilibrium problems with strong monotonicity, constrained over the fixed point set of a nonexpansive mapping in the framework of a real Hilbert space. The proposed method integrates inertial and subgradient strategies to enhance convergence properties while avoiding the computational challenges of metric projections onto complex sets. …”
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Soil tillage methods by years interaction for dry matter of plant yield of maize (Zea mays L.) using additive main effects and multiplicative interaction model by Jan Bocianowski, Piotr Szulc, Kamila Nowosad

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The biological function and prognostic significance of ferroptosis-related genes in clear cell renal cell carcinoma by Huizhen Ye, Xiwen Wu, Gehao Liang

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Which performance indicators are used globally for evaluating healthcare in patients with a hip fracture?: a mixed methods systematic review by Veena Mazarello Paes, Andrew Ting, James Masters, Mahalia V. I. Paes, Elizabeth Tutton, Simon M. Graham, Matthew L. Costa, on behalf of the HIPCARE investigators*

“…The aim of this review was to map the variety of performance indicators used around the world and how they are defined. Methods: We present a mixed methods systematic review of literature on the use of performance indicators in hip fracture care. …”
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Assessment of genetic diversity among seed transfer zones for multiple grassland plant species across Germany by Walter Durka, Stefan G. Michalski, Johannes Höfner, Anna Bucharova, Filip Kolář, Christina M. Müller, Christoph Oberprieler, Kristýna Šemberová, Markus Bauer, Matthias Bernt, Walter Bleeker, Stefan Brändel, Solveig Franziska Bucher, Pia Maria Eibes, Michael Ewald, Ronny Goldberg, Kerstin Grant, Sylvia Haider, Alexander Harpke, Friedhelm Haun, Rico Kaufmann, Lotte Korell, Dierk Kunzmann, Daniel Lauterbach, Simon Leib, Nikola Lenzewski, Holger Loritz, Anna-Maria Madaj, Ann Kareen Mainz, Philipp Meinecke, Hanna Mertens, Maren H. Meyer, Martin Musche, Michael Ristow, Christoph Rosche, Christiane Roscher, Daniel Rutte, Annemarie Schacherer, Wolfgang Schmidt, Joraine Schmoldt, Simone Schneider, Jan-Hinnerk Schwarz, Sandra Skowronek, Stephanie A. Socher, Nils Stanik, Alina Twerski, Karin Weiß, Martin Weiß, Alexander Wille, Andreas Zehm, Christian Zidorn

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Deciphering the coordinated roles of the host genome, duodenal mucosal genes, and microbiota in regulating complex traits in chickens by Fangren Lan, Xiqiong Wang, Qianqian Zhou, Xiaochang Li, Jiaming Jin, Wenxin Zhang, Chaoliang Wen, Guiqin Wu, Guangqi Li, Yiyuan Yan, Ning Yang, Congjiao Sun

“…Heritability estimation and GWASs from the genome, regulatability estimation from the transcriptome, and microbiability estimation from the microbiome were collectively calculated for the host phenotypes. By integrating genome and transcriptome data, the cis- and trans-heritability of genes were estimated, and methods such as eQTL mapping and SMR were used to elucidate the genetic regulatory mechanisms of phenotypes. …”
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The enhanced heat source model and its verification of unsteady heat transfer simulation in laser quenching based on experiment by Yutong Guo, Gangyan Li, Rui Shen, Hui Shi, Baoming Hu

“…This paper proposes a novel heat source model calculation method for simulation analysis by integrating the weighted residual Galerkin method with matrix block computation, based on temperature data acquired from the upper surface during laser quenching. …”
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Increasing Vegetation Cover Enhances Ecosystem Services in the Rare Earth Mining Area of China: Threshold Effects and Implications by Yuqing Liu, Zhubin Zheng, Jianzhong Li, Ge Liu, Shaohua Lei, Jie Xu, Wei Luo, Chao Du, Wei Huang, Chao Huang, Jingli Ren

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Oxygen consumption rate of freshwater pearl mussel (Hyriopsis cumingii) reared in ponds by ZHENG Xiafei, WANG Yan

“…Therefore, respiration of the mussel is not a main source of dissolved oxygen consumption in the ponds with integrated culture of H. cumingii and fish.…”
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A Three-Dimensional Phenotype Extraction Method Based on Point Cloud Segmentation for All-Period Cotton Multiple Organs by Pengyu Chu, Bo Han, Qiang Guo, Yiping Wan, Jingjing Zhang

“…Therefore, this study proposes a cotton phenotypic data extraction algorithm that integrates ResDGCNN with an improved region-growing method and constructs a 3D point cloud dataset of cotton covering the entire growth period under real growth conditions. …”
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Optimized Demand Forecasting for Bike-Sharing Stations Through Multi-Method Fusion and Gated Graph Convolutional Neural Networks by Hebin Guo, Kexin Li, Yutong Rou

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Conflict evidence combination rule based on multi-dimensional weighted evidence optimization method and its applications in pattern recognition by Fuhai Xi, Mengli Mei, Shi Yang, Hang Guo, Min Yu

“…This paper proposes an innovative conflict evidence combination rule based on a multi-dimensional weighted evidence optimization method to address this issue. First, systematic indicator classification and coefficient of variation analysis are conducted to rigorously select key conflict evaluation metrics. …”
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Development and application of a highly sensitive quadruple droplet digital PCR method for simultaneous quantification of sulfonamide resistance genes by Xirong Yin, Jiayuan Nie, Huifang Tian, Huifang Tian, Lihong Duan, Lixia Wu, Xiangdong Xu, Yumei Guo, Yumei Guo, Ke Wang, Ke Wang

“…To overcome this limitation, a quadruple method was established by integrating droplet digital PCR (ddPCR) with the ratio-based probe-mixing strategy, achieving sensitive detection of sul1, sul2, sul3, and sul4 genes in diverse matrices. …”
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K-Nearest Neighbors hybrid method for maximum power point tracking under partial shading for photovoltaic power systems by Djamel Guessoum, Maen Takrouri, Mohammad Rabih, Maissa Farhat, Sufian A. Badawi

“…Moreover, the KNN method proved to be highly adaptable to variations in PSC and rapid changes in solar irradiation.…”
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