Modelling of geometrical deformation and compensation during sintering of binder jetting by Zhi-Jian Li, Peng Xiao, Hong-Liang Dai, Yuan Yao, Wei-Feng Luo

“…However, the binder jetted parts typically suffer from undesired shrinkage and distortion during the sintering process of BJ3DP. Nevertheless, the distortion mechanism and shape maintenance method during BJ3DP remains unclear. …”
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Weak Fault Detection for Rolling Bearings in Varying Working Conditions through the Second-Order Stochastic Resonance Method with Barrier Height Optimization by Huaitao Shi, Yangyang Li, Peng Zhou, Shenghao Tong, Liang Guo, Baicheng Li

“…When the fault frequency changes in variable working conditions, the signal processing effect becomes different with fixed parameters, leading to errors in fault detection. …”
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Impact of Strain on Sub-3 nm Gate-All-Around CMOS Logic Circuit Performance Using a Neural Compact Modeling Approach by Ji Hwan Lee, Kihwan Kim, Kyungjin Rim, Soogine Chong, Hyunbo Cho, Saeroonter Oh

“…The model was trained using 3D technology computer-aided design (TCAD) device simulation data of GAA field-effect transistors (FETs) subjected to both tensile and compressive strain in nMOS and pMOS devices. …”
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The structure and dynamics of water molecule networks underlie catalytic efficiency in a glycoside exo-hydrolase by Sukanya Luang, Xavier Fernández-Luengo, Victor A. Streltsov, Jean-Didier Maréchal, Laura Masgrau, Maria Hrmova

“…In contrast, in the E220A mutant, this network is uncoordinated. Computational models of covalent complexes show that water flux through the wild-type protein correlates with high catalytic efficiency dissimilar to E220A, where this correlation is lost. …”
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Molecular structure data and modelling roadmap for optimized oxidized graphene quantum dot and epoxy interface and mechanical propertiesMendeley Data by Prathamesh Deshpande, Robert Chan-Jobe, Ozgur Keles

“…Uniaxial strain simulations revealed that a maximum strength gain of 56 % and stiffness gain of 18 % was computed by the oxidized GQD-epoxy nanocomposite.…”
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Revealing the spatiotemporal evolution of the 2024 extreme flood in Guangdong Province: Insights from GRACE-FO and in situ measurements by Sulan Liu, Yunlong Wu, Guodong Xu, Cuiyu Xiao, Xiaohui Wu, Yulong Zhong

“…Furthermore, a computationally normalized daily flood potential index (NDFPI) based on the reconstructed daily TWSA was used for flood warning. …”
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The personal readiness of internally displaced individuals for professional changes by Chernenko Nataliia, Brynza Iryna, Ruchkina Marianna

“…A number of factors inhibiting the process of personal changes to professional development have been identified: family circumstances (care for children, elderly parents, etc.), social and medical security (low salary, pre-retirement age, state of health, lack of certain documents, in particular regarding benefits, etc.), professional competence (insufficient experience in the specialty, low self-management, etc.), language competence (communication barriers, lack of proficiency in Ukrainian/English, etc.) psychological support and counseling (lack of motivation, resiliency, demotivation and lack of prospects, the presence of internal interpersonal conflicts, etc.) facilitation (psychological, legal and entrepreneurial assistance), digital competence (insufficient level of knowledge of modern information technologies, low level of computer literacy, etc.). …”
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Gas–Liquid Mixability Study in a Jet-Stirred Tank for Mineral Flotation by Yehao Huang, Mingwei Gao, Baozhong Shang, Jia Yao, Weijun Peng, Xiangyu Song, Dan Mei

“…To improve flotation process efficiency and resource recovery, further investigation into flow field characteristics and structural optimization is necessary. …”
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A distributed week-ahead scheduling method for the charging / discharging of plug-in electric vehicles integrated into the grid by Yan Cui, Zechun Hu, Yujian Wan, Junsong Li, Chengcheng Shao, Zhiyuan Bao, Xiaoyu Duan

“…For the EVA, it utilizes aggregate EV power and energy boundaries to model its feasible operation region which is crucial for the determination of the guidance tracking power profile in the distribution energy market clearing process. To protect the EVs' privacies and reduce the computational burden, a distributed algorithm is proposed to help the EVA allocate the guidance power profile among EVs. …”
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Enhancing Sustainable IoT Systems Through a Goal-Oriented Requirements Analysis Framework by José Alfonso Aguilar-Calderón, Carolina Tripp-Barba, Aníbal Zaldívar-Colado, Pedro Alfonso Aguilar-Calderón, Pablo Alfonso Aguilar-Calderón

“…GORA addresses both functional and non-functional requirements, such as energy efficiency and security, while minimizing computational overhead and reducing resource wastage. …”
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Inkjet‐printed reconfigurable and recyclable memristors on paper by Jinrui Chen, Mingfei Xiao, Zesheng Chen, Sibghah Khan, Saptarsi Ghosh, Nasiruddin Macadam, Zhuo Chen, Binghan Zhou, Guolin Yun, Kasia Wilk, Georgios Psaltakis, Feng Tian, Simon Fairclough, Yang Xu, Rachel Oliver, Tawfique Hasan

“…We demonstrate a sustainable process covering material exfoliation, device fabrication, and device recycling. …”
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Reconstruction for Scanning LiDAR with Array GM-APD on Mobile Platform by Di Liu, Jianfeng Sun, Wei Lu, Sining Li, Xin Zhou

“…However, due to its operating principle, GM-APD LiDAR requires processing based on multiple-laser-pulse data to complete the target reconstruction. …”
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Simulation of Asymmetric Lamb Waves for Sensing and Actuation in Plates by A. Ghoshal, W.N. Martin, M.J. Schulz, W.H. Prosser, A. Chattopadhyay

“…In this paper, a Physics-Based Model (PBM) using classical plate theory is developed to provide a basic understanding of the actual physical process of asymmetric Lamb mode wave generation and propagation in a plate. …”
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The Future of Artificial Intelligence and Genetic Insights in Precision Cardiovascular Medicine: A Comprehensive Review by Praveen Kumar Chandra Sekar, Ramakrishnan Veerabathiran, Hanjia Gao

“…Being creative with computers can help make new CVD intervention protocols and develop and test theoretical models.…”
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AI-based estimation of forest plant community composition from UAV imagery by Lindo Nepi, Giacomo Quattrini, Simone Pesaresi, Adriano Mancini, Roberto Pierdicca

“…The images were segmented into 256 × 256-pixel tiles to enable efficient computational analysis. Following a rigorous training and evaluation process, the ViT-H14 model was identified as the most effective approach, demonstrating an accuracy of over 0.93. …”
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Study on the Relationship Between Porosity and Mechanical Properties Based on Rock Pore Structure Reconstruction Model by Nan Xiao, Jun-Qing Chen, Xiang Qiu, Fu Huang, Tong-Hua Ling

“…The research workflow incorporated advanced image processing techniques, including adaptive total variation denoising algorithms for CT image enhancement and deep learning-based threshold segmentation for feature extraction. …”
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KEDM: Knowledge-Embedded Diffusion Model for Infrared Image Destriping by Lingxiao Li, Xin Wang, Dan Huang, Yunan He, Zhuqiang Zhong, Qingling Xia

“…Specifically, LDM leverages a pretrained variational autoencoder (VAE) to transform the input image into latent feature space for efficient diffusion propagation, reducing computational complexity while preserving image restoration quality. …”
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Optimization Driven Variational Autoencoder GAN for Artifact Reduction in EEG Signals for Improved Neurological Disorder and Disability Assessment by Sikkandar Mohamed Yacin, Sabarunisha Begum S., Alassaf Ahmad, AlMohimeed Ibrahim, Alhussaini Khalid, Aleid Adham, Alhaidar Abdulrahman Khalid

“…EEG signals are critical for the diagnosis of neurological disorders, for brain-computer interface (BCI) applications, and for the monitoring of neurological disabilities. …”
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Assessment of UAV-Based Deep Learning for Corn Crop Analysis in Midwest Brazil by José Augusto Correa Martins, Alberto Yoshiriki Hisano Higuti, Aiesca Oliveira Pellegrin, Raquel Soares Juliano, Adriana Mello de Araújo, Luiz Alberto Pellegrin, Veraldo Liesenberg, Ana Paula Marques Ramos, Wesley Nunes Gonçalves, Diego André Sant’Ana, Hemerson Pistori, José Marcato Junior

“…For the quantification of corn fields, this paper applies novel computer-vision techniques and a new dataset of corn imagery composed of 1416 256 × 256 images and corresponding labels. …”
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Loader Bucket Working Angle Identification Method Based on YOLOv5s and EMA Attention Mechanism by Xuedong Zhang, Bo Cui, Zhaoxu Wang, Wangting Zeng

“…In response to the issues of low recognition efficiency and large errors encountered in the process of identifying the working angle of the bucket during current automated loader construction operations, a method based on YOLOv5s and the EMA attention mechanism for loader bucket working angle identification is proposed. …”
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