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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Performance Estimation of Low Power and Area-Efficient Parallel Pipelined FFT by Surya P, Arunachalaperumal C, Dhilipkumar S

“…The BI multiplier design was synthesized in a field programmable gate array (FPGA), and the results show that the area efficiency could be improved by about 30 % and the power consumption and delay could be reduced by 56 %. …”
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Conv1D-GRU-Self Attention: An Efficient Deep Learning Framework for Detecting Intrusions in Wireless Sensor Networks by Kenan Honore Robacky Mbongo, Kanwal Ahmed, Orken Mamyrbayev, Guanghui Wang, Fang Zuo, Ainur Akhmediyarova, Nurzhan Mukazhanov, Assem Ayapbergenova

“…This study proposes a hybrid IDS model combining one-dimensional Convolutional Neural Networks (Conv1Ds), Gated Recurrent Units (GRUs), and Self-Attention mechanisms. …”
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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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Ethnic differences in CKD progression among people with type 2 diabetes and rapid eGFR decline: A secondary data analysis by Thamer Alobaid, Matthew D. L. O’Connell, Janaka Karalliedde, Salma Ayis

“…Abstract Background People with type 2 diabetes mellitus (T2DM) and chronic kidney disease (CKD) exhibit diverse patterns of kidney function decline. However, there is limited evidence on the impact of ethnicity and diabetic retinopathy on the rate of estimated glomerular filtration rate (eGFR) decline and the progression of CKD. …”
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Peculiarities of Pattern Information Transmission by Evgeniy V. Yurkevich, Lidiya N. Krukova

“…The rates of modern technologies development is such that educational programs are constantly required to be enlarged with new material. …”
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Forecasting Green Energy Production in Latin American Countries and Canada via Temporal Fusion Transformer by Muhammad Shoaib Saleem, Javed Rashid, Sajjad Ahmad, Ali M. Al‐Shaery, Saad Althobaiti, Muhammad Faheem

“…The performance of the proposed TFT is more authentic as compared with the gated recurrent unit (GRU), the long short‐term memory (LSTM), deep autoregression (DeepAR), and the meta graph‐based convolutional recurrent network (MegaCRN). …”
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Exploring CESEE-EMU Synchronisation Patterns by Valerija Botrić, Tanja Broz

“…We introduce a specific measure of business cycle synchronisation by comparing the evolution of the growth rates in country pairs and further seek to identify determinants of these synchronisation patterns using pooled probit model. …”
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Identifying etiological pattern for postpartum complications by D. F. Kurbanova, S. G. Sultanova, F. R. Hajiyevа

“…Postpartum complications hold one of the leading places in the pattern of gynecological diseases.Aim: to study the clinical and laboratory features of developing postpartum inflammatory complications.Materials and Methods. …”
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PMMA-Assisted Plasma Patterning of Graphene by Alfredo D. Bobadilla, Leonidas E. Ocola, Anirudha V. Sumant, Michael Kaminski, Jorge M. Seminario

“…The exposure time required to produce the ribbon patterns on graphene is 2 minutes. We produce graphene ribbon patterns with ∼50 nm width and integrate them into solid state and liquid gated transistor devices.…”
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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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Ambulatory Melanoma Care Patterns in the United States by Andrew L. Ji, Michael R. Baze, Scott A. Davis, Steven R. Feldman, Alan B. Fleischer

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