Intergenerational support dynamics and the sandwich generation: analyzing the effect of family migration on health among the Chinese migrant workers by Houyi Zhang, Fengxian Qiu, Jing Liu

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Optimizing the Design of Soil-Mixing Blade Structure Parameters Based on the Discrete Element Method by Huiling Ding, Qiaofeng Wang, Mengyang Wang, Chao Zhang, Han Lin, Xin Jin, Haizhou Hong, Fengkui Dang

“…The key structural parameters included the bending line angle (<i>α</i>), bending angle (<i>β</i>), side angle (<i>δ</i>), tangential edge height (<i>h</i>), and bending radius (<i>r</i>); the straw burial rate (<i>Y</i>₁) and straw percentage in the seeding layer (<i>Y</i>₂) were selected as evaluation indicators. …”
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Characterization of Spatially Heterogeneous Environmental Variables Through Multi‐Modal Generalized Sub‐Gaussian Distributions by Chiara Recalcati, Alberto Guadagnini, Monica Riva

“…Within each region, the quantity of interest shows a distinct heterogeneous pattern that can be described through a generally non‐Gaussian distribution. …”
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EEG–fNIRS signal integration for motor imagery classification using deep learning and evidence theory by Mohammed E. Seno, Niladri Maiti, Maulik Patel, Mihirkumar M. Patel, Kalpesh B. Chaudhary, Ashish Pasaya, Babacar Toure

“…For EEG signals, spatiotemporal features are extracted using dual-scale temporal convolution and depthwise separable convolution, and a hybrid attention module is introduced to enhance the network's sensitivity to salient neural patterns. For fNIRS signals, spatial convolution across all channels is employed to explore activation differences among brain regions, and parallel temporal convolution combined with a gated recurrent unit (GRU) captures richer temporal dynamics of the hemodynamic response. …”
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Short Text Classification Based on Enhanced Word Embedding and Hybrid Neural Networks by Cunhe Li, Zian Xie, Haotian Wang

“…Furthermore, we propose a dual-channel hybrid model based on a Gated Convolutional Neural Network (GCNN) and Bidirectional Long Short-Term Memory (BiLSTM), which jointly captures local features and long-range global dependencies. …”
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Water and Salt Dynamics in Cultivated, Abandoned, and Lake Systems Under Irrigation Reduction in the Hetao Irrigation District by Lina Hao, Guoshuai Wang, Vijay P. Singh, Tingxi Liu

“…The results indicated that before and after the reduction in irrigation and decline in groundwater levels, the migration rates of groundwater from croplands to wastelands and from wastelands to lakes remained relatively stable, averaging 78% and 40%. …”
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RENAL SAFETY OF PROTON PUMP INHIBITORS by A. I. Dyadyk, T. E. Kugler

“…Increased serum creatinine, decreased glomerular filtration rate, electrolyte disorders, pathological changes in urine tests are not highly specific indicators, but allow to suspect the development of acute tubulointerstitial nephritis. …”
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Use of a spatially distributed in-phase antenna to increase the noise immunity of signal reception by G. V. Kulikov, Yu. A. Polevoda, M. S. Kostin

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A Systematic State-of-the-Art Review of Asian Research on Principal Instructional Leadership, 1987–2024 by Philip Hallinger, Shengnan Liu, Pwint Nee Aung

“…Analysis of 20 “state-of-the-art studies” found a consistent pattern of significant mediated and direct effects of instructional leadership on teacher attitudes and practices. …”
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The Reliability of Diagnosing Schizophrenia Using the GRU Layer in Conjunction with EEG Rhythms by Pankaj Kumar Sahu, Karan Jain

“…The proposed study demonstrates the applicability of alpha-EEG rhythm in a Gated-Recurrent-Unit-based deep learning model for studying schizophrenia. …”
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High-speed threat detection in 5G SDN with particle swarm optimizer integrated GRU-driven generative adversarial network by R. Shameli, Sujatha Rajkumar

“…The DL model integrates the Particle Swarm Optimizer-Gated Recurrent Unit Layer-Generative Adversarial Network-Intrusion Detection System classifier (PSO-GRUGAN-IDS). …”
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Surface Temperature Assisted State of Charge Estimation for Retired Power Batteries by Liangyu Xu, Wenxuan Han, Jiawei Dong, Ke Chen, Yuchen Li, Guangchao Geng

“…Specifically, our method achieves 64.3–68.1% lower RMSE than traditional electrical-parameter-only approaches (V-I inputs) across 0.5 C–2 C discharge rates. Results show that the proposed method reduces SOC estimation errors compared to traditional voltage-based models, achieving RMSE values below 1.04 across all tested rates. …”
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Macrostructural Analysis of the Dynamics of the Two-Sector Economy by O. S. Sukharev, E. N. Voronchikhina

“…The purpose of the study is the formation of an algorithm for macrostructural analysis of the two-sector Russian economy with the identification of the main patterns and relationships of their joint dynamics — contribution to the overall growth rate, price dynamics, and the definition of a model for further development.   …”
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Evaluation of Unmanned Multicopters’ Performance Indicators for Pesticide and Agrochemical Application by V. P. Asovskiy, A. S. Kuzmenko, O. V. Khudolenko

“…The authors analyzed the impact of working speed of up to 10 meters per second, application rates of 2-30 liters per hectare, the size and characteristics of the field plot up to 200 hectares, traffic patterns and other factors on productivity and multicopter treatment cost.  …”
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Global epidemiological trends and burden of cervical and subcervical spinal cord injuries, 1990–2021: a multidimensional analysis using global burden of disease data by Wei Liu, Azhati Samuhaer, Kunpeng Lin, Mingchen Li, Chunyu Zang, Hongwei Liu, Haixiu Fan, Ke Shi, Donghai Li

“…Males consistently showed higher rates of CSCI and SSCI across both injury types, and significant sex-based differences were observed in YLDs. …”
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A hybrid deep learning model EfficientNet with GRU for breast cancer detection from histopathology images by M. Pradeepa, B. Sharmila, M. Nirmala

“…A hybrid deep learning model is proposed, integrating EfficientNetV2 for multi-scale feature extraction with a Gated Recurrent Unit (GRU) enhanced by an attention mechanism to model sequential dependencies. …”
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An enhanced fusion of transfer learning models with optimization based clinical diagnosis of lung and colon cancer using biomedical imaging by N. A. S. Vinoth, J. Kalaivani, R. Madonna Arieth, S. Sivasakthiselvan, Gi-Cheon Park, Gyanendra Prasad Joshi, Woong Cho

“…The FTLMO-BILCCD technique implements a hybrid of temporal pattern attention and bidirectional gated recurrent unit (TPA-BiGRU) for classification. …”
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Features of geochemical processes in the catchment area of the river Kalaus in the Stavropol territory by Anastasia Sergeevnna Bluzhina, Inna Vladimirovna Begday

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FPGA Implementation for 24.576-Gbit/s Optical PAM4 Signal Transmission with MLP-Based Digital Pre-Distortion by Sheng Hu, Tianqi Zheng, Chengzhen Bian, Xiongwei Yang, Xinda Sun, Zonghui Zhu, Yumeng Gou, Yuanxiao Meng, Jie Zhang, Jingtao Ge, Yichen Li, Kaihui Wang

“…In this work, an MLP-DPD scheme was implemented on a field-programmable gate array (FPGA). The FPGA was used to generate a 14.7456 GBaud pre-distorted pulse amplitude modulation 4-level (PAM4) signal. …”
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A hybrid ultra-short-term photovoltaic power prediction framework integrating ant colony optimization for clustering with Bi-GRU by Xinyi Liu, Zitao Wang, Yang Wang, Shanke Liu, Lijun Yu

“…Kendall’s Rank Correlation Coefficient is utilized as the core metric for feature selection to identify the optimal predictive feature subset, resulting in a 9-feature set that achieves the best predictive performance (R2 = 0.8153). Bidirectional Gated Recurrent Unit (Bi-GRU) models are independently constructed based on these scenario labels to enable scenario-adaptive predictions. …”
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