CBCT-to-CT synthesis using a hybrid U-Net diffusion model based on transformers and information bottleneck theory by Can Hu, Ning Cao, Xiuhan Li, Yang He, Han Zhou

“…In this study, we propose a hybrid U-Net diffusion model (HUDiff) based on Vision Transformer (ViT) and the information bottleneck theory to improve CBCT image quality. …”
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Use of Electrochemical Impedance Spectroscopy for the Evaluation of Performance of PEM Fuel Cells Based on Carbon Cloth Gas Diffusion Electrodes by Saverio Latorrata, Renato Pelosato, Paola Gallo Stampino, Cinzia Cristiani, Giovanni Dotelli

“…Polymer electrolyte membrane fuel cells (PEMFCs) have attracted great attention in the last two decades as valuable alternative energy generators because of their high efficiencies and low or null pollutant emissions. …”
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WDFS-DETR: A Transformer-based framework with multi-scale attention for small object detection in UAV Engineering Tasks by Jinjiang Liu, Yonghua Xie

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Cross-Temporal Remote Sensing Image Change Captioning: A Manifold Mapping and Bayesian Diffusion Approach for Land Use Monitoring by Qingshan Bai, Xiaohua Wang

“…Subsequently, Bayesian diffusion is introduced to improve the modeling capability of cross-temporal image changes, enhancing robustness against noise and pseudo-changes. …”
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Timescale correlation of shallow trap states increases electrochemiluminescence efficiency in carbon nitrides by Yanfeng Fang, Hong Yang, Yuhua Hou, Wang Li, Yanfei Shen, Songqin Liu, Yuanjian Zhang

“…Among them, electrochemiluminescence, an emission of light excited by electrochemical reactions, has drawn attention as a powerful tool for bioassays. Nonetheless, the large differences in timescale among diverse charge-transfer pathways from picoseconds to seconds significantly limit the electrochemiluminescence efficiency and hamper their broad applications. …”
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A comprehensive review of diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS) techniques in protonic ceramic cells (PCCs): Current status and future perspective by Zixian Wang, Fan Liu, Yuqing Meng, Wenjuan Bian, Haiyan Zhao, Chuancheng Duan, Michael T. Benson, Meng Li, Bin Liu, Dong Ding

“…However, establishing a fundamental understanding of their electrocatalytic reactions has gained less attention. As a fast and cost-effective method for physicochemical fingerprinting, diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS) has proven to be a surface-sensitive analytical tool for structural and functional studies. …”
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Sodium Chloride‐Assisted Crystalline Graphitic Carbon Nitride for Efficient Photocatalytic Hydrogen Evolution by Xueze Chu, C. I. Sathish, Jae‐Hun Yang, Wei Li, Dongchen Qi, Xinwei Guan, Xiaojiang Yu, Mark B. H. Breese, Liang Qiao, Jiabao Yi

“…The resulting g‐C3N4 has an optimum band structure that benefits enhanced light absorption and charge separation efficiency. The intimate contact between sodium chloride and carbon nitride in the pressed pellet facilitates the diffusion of sodium ions and increases the material's resistance to high annealing temperatures, leading to improved crystallinity. …”
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Use of Anionic Surfactant-Modified Activated Carbon for Efficient Adsorptive Removal of Crystal Violet Dye by Rumi Goswami, Amit Kumar Dey

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The influence of service information systems on strengthening competitiveness and efficiency of business of small and medium-sized enterprises (SMEs) by Dimitrijević Dragan, Dimitrijević Natalija, Adamović Živoslav

“…The fact that today nuances or millionths of some value in business bring an advantage in quality or economic valorization and decide on advantages in strengthening competitiveness or efficient optimization of business, require greater attention and critical consideration of the importance of implementation and efficient exploitation of the so-called service information systems (e-administration, e-education, e-health). …”
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Change in the Electrochemical Parameters and Material Conductivity During Cycling of Electrochemical Cells with Cathodes Based on MgF2 by I.M. Gasyuk, М.Ja. Sichka, V.V. Ugorchuk, L.S. Kaykan, А.М. Bojchuk

“…Researches were conducted using the following electrochemical methods: galvanostatic cycling, cyclic voltammetry, electrochemical impedance spectroscopy. Much attention has been attracted to changing the electrochemical parameters (specific discharge capacity, Coulomb efficiency, coefficient of electrostimulated diffusion). …”
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Carbon coated titanium dioxide (CC-TiO2) as an efficient anode material for sodium- ion batteries by Rahul Kumar, Anagha Pradeep, Parag Bhargava

“…Abstract TiO2 has attracted a lot of attention as anode material for sodium-ion batteries due to its higher operating voltage, safely and low lost material, but TiO2 has two main issues, low electronic conductivity and slow solid-state ion diffusion. …”
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A Heterogeneous Image Registration Model for an Apple Orchard by Dongfu Huang, Liqun Liu

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Efficient single-layer light-emitting diodes based on organic–inorganic lead halide perovskite and tuning luminescence properties by Soghra Mirershadi, Asal Javad, Sohrab Ahmadi-Kandjani

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Transferable Contextual Network for Rural Road Extraction from UAV-Based Remote Sensing Images by Jian Wang, Renlong Wang, Yahui Liu, Fei Zhang, Ting Cheng

“…TCNet integrates the clustered contextual Transformer (CCT) module, clustered cross-attention (CCA) module, and CBAM attention mechanism to ensure efficient model transferability across different geographical and climatic conditions. …”
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Soybean Weed Detection Based on RT-DETR with Enhanced Multiscale Channel Features by Hua Yang, Yanjie Lyu, Yunpeng Jiang, Feng Jiang, Taiyong Deng, Lihao Yu, Yuanhao Qiu, Hao Xue, Junying Guo, Zhaoqi Meng

“…This module enhances the extraction of detailed features by combining the in-scale feature interaction module with the Efficient Additive attention mechanism. In addition, we designed an Enhanced Multiscale Feature Fusion (EMFF) network structure, which first differentiates the inputs of the three feature layers and then ensures the effective flow between the original and enhanced features of each feature layer by two multiscale feature fusions as well as one diffusion. …”
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D³-YOLOv10: Improved YOLOv10-Based Lightweight Tomato Detection Algorithm Under Facility Scenario by Ao Li, Chunrui Wang, Tongtong Ji, Qiyang Wang, Tianxue Zhang

“…Accurate and efficient tomato detection is one of the key techniques for intelligent automatic picking in the area of precision agriculture. …”
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DAU-YOLO: A Lightweight and Effective Method for Small Object Detection in UAV Images by Zeyu Wan, Yizhou Lan, Zhuodong Xu, Ke Shang, Feizhou Zhang

“…Furthermore, Scale-Diffusion Attention and Task-Aware Attention are employed to refine these features, significantly improving the network’s ability to detect small objects. …”
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Novel Alumina–Copper Electrode Composites: Toward Efficient Glutamate and H₂O₂ Detection by Tatjana Novaković, Dejan Pjević, Nadica Abazović, Zorica Mojović

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Application of interactive AI system based on image recognition in rural landscape design by Da He

“…The research aims to construct an intelligent and interactive rural landscape design system to improve design efficiency and optimize design outcomes. The study uses attention generative adversarial networks to enrich elements in rural landscape design, improving the problem of inaccurate mapping. …”
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Alzheimer’s Disease Prediction via Brain Structural-Functional Deep Fusing Network by Qiankun Zuo, Yanyan Shen, Ning Zhong, C. L. Philip Chen, Baiying Lei, Shuqiang Wang

“…In this work, a novel model termed cross-modal transformer generative adversarial network (CT-GAN) is proposed to effectively fuse the functional and structural information contained in functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI). The CT-GAN can learn topological features and generate multimodal connectivity from multimodal imaging data in an efficient end-to-end manner. …”
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