Breast Diagnostic Tumor Using Compact Butterfly-Shaped Antenna Signals for Medical Sensor Applications by Hiwa Taha Sediq, Mohammad Fathi, Keyhan Hosseini, Bahman Mohammadi

“…Based on numerical simulations and preliminary experimental results, it can be confirmed that the Vivaldi antenna can be used in microwave tomography for detection of breast cancer in a better manner with higher accuracy, lower false positive rates and providing high gain of 8.51dBi.…”
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Mitigating retail rice price volatility for sustainable supply chains: an optimization and regression-based approach [version 2; peer review: 2 approved] by Arif Shafwan Rasyid, Lucia Diawati

“…The results indicate that bimonthly rice prices increases can be effectively controlled, with maximum price change rates maintained between 0.75% and 1.14% and a standard deviation ranging from 0.20% to 0.34%. …”
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An adaptive spatiotemporal dynamic graph convolutional network for traffic prediction by Zhiguo Xiao, Qi Shen, Changgen Li, Dongni Li, Qian Liu

“…Concurrently, the model synergistically integrates dynamic graphs with gated recurrent units to achieve joint modeling of complex spatiotemporal dependencies. …”
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Geomorphic constraints on differential surface uplift across the Dien Bien Phu Fault, northwestern Vietnam, and its implications on crustal dynamics in the southeastern Tibetan Pla... by Thi-Hue Dinh, Chih-Tung Chen, Yu-Chang Chan

“…This study offers, for the first time, new constraints on surface uplift pattern across the fault based on quantitative tectonic geomorphology analyses (normalized steepness index, and erosion rate from fluvial shear stress) combined with mapping of river terraces. …”
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Decomposing decision mechanisms in female substance use disorder: drift diffusion modeling of context-dependent biases in gain and loss processing by Hao Zhang, Gavin Kader, Huoyin Zhang, Haijian Zhao, Wanke Pan, Peng Lei

“…Additionally, they showed lower drift rates in gain scenarios, indicating reduced sensitivity to non-substance rewards, but higher drift rates in loss scenarios, suggesting heightened sensitivity to negative outcomes. …”
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Sociodemographic and sex differences in the global burden of hypertensive heart disease, 1990–2021: a population-based analysis by Fangfei Nie, Xiaorong Wang, Airong Yang, Jiaolong He, Jie Bai, Ping Yan, Xiaozhou Wang

“…Methods Data from the Global Burden of Disease Study 2021 were used to evaluate age-standardized DALY rates for HHD across five socio-demographic index (SDI) levels and by sex from 1990 to 2021. …”
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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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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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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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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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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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Analysis of the results of Structural Surveys of russian Business for 2017–2022 by L. Yu. Arkhangel’skaya, O. Yu. Sitnikova

“…The authors studied the structure of the totality of Russian business organizations, their distribution by federal districts according to such criteria as the birth rate (economic birth rate), official liquidation (mortality), structural shifts in their demography in 2022 compared to 2017. …”
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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

“…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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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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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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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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