Morphological, technological and biopharmaceutical studies of alginate-chitosan microcapsules with vinpocetine by Yu. A. Polkovnikova, N. A. Severinova, K. N. Koryanova, U. A. Tulskaya, M. V. Grechkina

“…Studying the effect of the concentration of a sodium alginate solution on the release rate of Vinpocetine from the microcapsule samples has shown that at the concentration of 1%, the release rate is 41.17%, and at the concentration of 2.5% it is 4.5%. …”
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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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A Systematic State-of-the-Art Review of Asian Research on Principal Instructional Leadership, 1987–2024 by Philip Hallinger, Shengnan Liu, Pwint Nee Aung

“…This systematic state-of-the-art review analyzed the evolution of analytical models, research methods, and findings in Asian studies of instructional leadership that employed the Principal Instructional Management Rating Scale (PIMRS). The authors applied content analysis to 349 Asian instructional leadership studies sourced from multiple digital databases. …”
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Stress corrosion cracking behavior of pipeline steel due to liquid ammonia with water and oxygen impurities by Jiaqing LI, Huilong LIANG, Zhiyu FENG, Pengbo YIN, Lin TENG, Zhuwu ZHANG, Yu LUO, Lilong JIANG

“…MethodsCorrosion experiments and tensile experiments at slow strain rates were conducted using liquid ammonia with different impurities, to identify the SCC behaviors of pipeline steel. …”
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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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Weaker Association Between Financial Security and Health in the Global South by Shervin Assari

“…Methods: Cross-sectional data from Wave 1 of the Global Flourishing Study (<i>n</i> = 207,000) were used to examine associations between subjective SES indicators—financial security and security in basic needs (food, housing, safety)—and two outcomes: self-rated physical health and mental health. All variables were measured on 0–10 scales. …”
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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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High-speed threat detection in 5G SDN with particle swarm optimizer integrated GRU-driven generative adversarial network by R. Shameli, Sujatha Rajkumar

“…Moreover, the performance of this model is evaluated using the InSDN dataset and compared with existing DL model-based intrusion detection approaches and the results demonstrate a significantly higher accuracy rate of 98.4%, precision rate of 98%, recall rate of 98.5%, less detection time of 2.464 s, lesser Log loss rate of 1.0 and more metrics instilling confidence in the effectiveness of the proposed method.…”
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Effects of Different Solid–Liquid Parameters on Flow Characteristics and Performance Output of Mineral Extraction Pumps: Analysis and Experimental Validation by Shunjun Hong, Yuanwen Li, Xiaozhou Hu, Zihai Yang, Shaowei Lei, Pengyun Wei, Junhong Hu, Xingpeng Wang

“…Computational fluid dynamics methods, incorporating the <i>SST</i><inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>k</mi><mo>-</mo><mi>ω</mi></mrow></semantics></math></inline-formula> turbulence model and the discrete phase model, were utilized to systematically investigate the pressure distribution, velocity field, streamline patterns, and performance characteristics of the mineral extraction pump under three operating conditions—low flow rate, rated flow rate, and high flow rate—while transporting mineral particles of three distinct sizes. …”
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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

“…We apply this framework to an experimental data set consisting of a collection of dissolution rate fields obtained from high‐resolution nanoscale measurements acquired through Atomic Force Microscopy and documenting the dissolution behavior of a calcite sample under continuous flow conditions. …”
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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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Empirical classification of fatigue-induced physiological tremor in robot-assisted manipulation tasks using BiLSTM-GRU network by Poongavanam Palani, Siddhant Panigrahi, Gunarajulu Renganathan, Yuichi Kurita, Asokan Thondiyath

“…The classification of the progressive stages of fatigue-induced physiological tremor (FIPT) is based on the hybrid bidirectional long short-term memory neural network with a Gated Recurrent Unit (BiLSTM-GRU) presented in this work.MethodologyTwenty healthy participants volunteered in the study, where a teleoperation stage was set up using the Geomagic Haptic device—Touch. …”
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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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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

“…At the receiver, the parallel constant modulus algorithm (PCMA) was applied for signal processing. The bit error rate (BER) achieved met the 2.4 × 10⁻² threshold for soft-decision forward error correction (SD-FEC), enabling a net transmission bit rate of 24.576 Gbit/s. …”
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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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Data-driven power marketing strategy optimization and customer loyalty promotion by Bo Chen, Wei Cui

“…This study employs the LSTM network model, trained on combined time-series power consumption, customer interaction scores and market response rates data. Unlike traditional models that struggle with dynamic customer behavior capture, LSTM accounts for consumption pattern temporality and static feedback. …”
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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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Primary study on screening of optimum Stropharia rugoso-annulata strains and suitable cultivation medium with Zizania latifolia leaves by Zhou Zufa, Yan Jing

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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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