CoCEC: An Automatic Combinational Circuit Equivalence Checker Based on the Interactive Theorem Prover by Wilayat Khan, Farrukh Aslam Khan, Abdelouahid Derhab, Adi Alhudhaif

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Parallel multi‐rate simulation scheme for modular multilevel converter‐based high‐voltage direct current with accurate simulation of high‐frequency characteristics and field progra... by Chongru Liu, Yanqi Hou, Haoyun Dong, Yipeng Lv, Xinyan Wang, Chenbo Su

“…A multi‐rate data synchronous mechanism is established by considering the differences among high‐frequency characteristics caused by delayed data interaction. Secondly, the computing architectures of the primary system solver and modular multilevel converter controller are designed based on a field programmable gate array (FPGA). …”
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Cross-modal gated feature enhancement for multimodal emotion recognition in conversations by Shiyun Zhao, Jinchang Ren, Xiaojuan Zhou

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A Novel Electrical Load Forecasting Model for Extreme Weather Events Based on Improved Gated Spiking Neural P Systems and Frequency Enhanced Channel Attention Mechanism by Yuanshuo Guo, Jun Wang, Yan Zhong, Tao Wang, Zeyuan Sui

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Long-range CCΦ gates via radio-frequency-induced Förster resonances by I. N. Ashkarin, S. Lepoutre, P. Pillet, I. I. Beterov, I. I. Ryabtsev, P. Cheinet

“…Here we present a CCΦ quantum phase gate protocol based on radio-frequency-induced Förster resonant interactions in the array of highly excited ^{87}Rb atoms. …”
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Aspect-Level Sentiment Analysis Based on Position Features Using Multilevel Interactive Bidirectional GRU and Attention Mechanism by Xiaodi Wang, Xiaoliang Chen, Mingwei Tang, Tian Yang, Zhen Wang

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DGFEG: Dynamic Gate Fusion and Edge Graph Perception Network for Remote Sensing Change Detection by Shengning Zhou, Genji Yuan, Zhen Hua, Jinjiang Li

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EPI-DynFusion: enhancer-promoter interaction prediction model based on sequence features and dynamic fusion mechanisms by Ao Zhang, Jianhua Jia, Mingwei Sun, Xin Wei

“…These results confirm that the proposed fusion strategies and attention mechanisms contribute to significant improvements in performance.DiscussionIn conclusion, EPI-DynFusion presents a robust and scalable framework for predicting enhancer–promoter interactions solely based on DNA sequence information. …”
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Optimizing EEG - based Emotion Recognition with a multi-modal ensemble approach by Kavitha K V, L R Sudha, J S Jayasudha

“…Emotions significantly influence human communication and are intricately associated with cerebral activity, as evidenced by EEG data, which enhances human-machinemachine interactions, especially in Brain–Computer Interfaces (BCI). …”
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LCD-Net: A Lightweight Remote Sensing Change Detection Network Combining Feature Fusion and Gating Mechanism by Wenyu Liu, Jindong Li, Haoji Wang, Run Tan, Yali Fu, Qichuan Tian

“…While traditional CNN-based methods have improved detection accuracy, they often suffer from high computational complexity and large parameter counts, limiting their use in resource-constrained environments. …”
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MultiRepPI: a cross-modal feature fusion-based multiple characterization framework for plant peptide-protein interaction prediction by Yu Zhiguo, Li Zixuan, Li Peng

“…First, a cross-modal encoding module (CME) is designed by fusing convolutional neural networks, recurrent neural networks, and feature enhancement mechanisms, which is capable of extracting multi-scale deep features from peptide and protein sequences, and thus better capturing their interactions at different levels. Secondly, bi-directional attention and PepPI gating mechanisms were used to design the cross-modal attention module (CMA), which deeply mines the key interaction patterns between peptides and proteins, and enhances the ability of the model to focus on important binding sites. …”
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CCPIN: Classification and Combine Parallel Interaction Network for CTR Prediction by Guosheng Tan, Changchun Yang, Jiaming Jiang

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Investigating and improving student understanding of the basics of quantum computing by Peter Hu, Yangqiuting Li, Chandralekha Singh

“…These include an overview of key quantum mechanical concepts relevant to quantum computation (including ways a quantum computer is different from a classical computer), properties of single- and multiqubit systems, and the basics of single-qubit quantum gates. …”
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Quantum computing topological invariants of two-dimensional quantum matter by Marcel Niedermeier, Marc Nairn, Christian Flindt, Jose L. Lado

“…The second circuit uses fewer qubits, and we implement it experimentally on a quantum computer based on superconducting qubits. Our results establish a method for computing topological invariants with quantum circuits, taking a step towards characterizing interacting topological quantum matter using quantum computers.…”
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Demonstration of Scully–Drühl-type quantum erasers on quantum computers by Bo-Hung Chen, Dah-Wei Chiou, Hsiu-Chuan Hsu

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MB-MSTFNet: A Multi-Band Spatio-Temporal Attention Network for EEG Sensor-Based Emotion Recognition by Cheng Fang, Sitong Liu, Bing Gao

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Computational study of skyrmion stability and transport on W/CoFeB by Tsz Chung Cheng, Lin Zhang, Yuichiro Kurokawa, Ryuta Satone, Kazuhiko Tokunaga, Hiromi Yuasa

“…In that case, the about 10 nm diameter skyrmion was transported under SOT at a velocity of about 40 m/s, which has the potential for skyrmion-based unconventional computing devices like skyrmion race track memory and logic gate.…”
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Dual-Stage Gated Segmented Multimodal Emotion Recognition Method—***¹ , ***¹ , ***², ***¹

“…To address this, a dual-stage gated segmented fusion architecture is proposed, consisting of an interaction stage and a dual-stage gating stage. …”
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Multi-Scale Hierarchical Feature Fusion for Infrared Small-Target Detection by Yue Wang, Xinhong Wang, Shi Qiu, Xianghui Chen, Zhaoyan Liu, Chuncheng Zhou, Weiyuan Yao, Hongjia Cheng, Yu Zhang, Feihong Wang, Zhan Shu

“…WGFFNet uses a classic encoder–decoder structure, where the designed stepped fusion block (SFB) embedded in the feature extraction stage captures finer local context across multiple scales during encoding, and along the decoding path, the multi-level features are progressively integrated by a Fully Gated Interaction (FGI) Module to enhance feature representation. …”
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A model of thalamo-cortical interaction for incremental binding in mental contour-tracing. by Daniel Schmid, Heiko Neumann

“…By which mechanisms this process is implemented and how it can be interacted with by means of attentional control is not completely understood yet. …”
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