An enhanced approach for automatic annotation of error codes based on Seq2edit by Jian Wang, Tao Lin, Rongsen Zhao, Huiling Zhao

“…Recently, a code error automatic annotation method based on Seq2edit has been proposed to optimize the dataset. …”
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Toward a unified gait freeze index: a standardized benchmark for clinical and regulatory evaluations by Alessandro Schaer, Henrik Maurenbrecher, Carlo Mangiante, Roman Sobkuliak, Kathrin Müsch, Paula Sanchez Lopez, Eduardo Martin Moraud, Eduardo Martin Moraud, Olgac Ergeneman, George Chatzipirpiridis

“…Freezing of Gait (FOG) is a disabling motor symptom that affects a majority of individuals with advanced Parkinson's disease, severely limiting mobility, independence, and quality of life. Automatic methods for detecting FOG using the freeze index (FI) have been widely proposed to systematically monitor FOG in real life and guide therapy optimizations. …”
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Solar Energy Harvesting and Management in Wireless Sensor Networks by Muhammad Mazhar Abbas, Mohamed A. Tawhid, Khalid Saleem, Zia Muhammad, Nazar Abbas Saqib, Hafiz Malik, Hasan Mahmood

“…Wireless networks comprise of small devices that are typically deployed in environments where paucity of energy seriously restricts essential operations. The energy source of these devices decreases very quickly during continuous operation and it is pivotal to replace or recharge frequently the power sources. …”
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Fault Diagnosis for Rolling Bearings Under Complex Working Conditions Based on Domain-Conditioned Adaptation by Xu Zhang, Gaoquan Gu

“…The method then aligns source and target domain features by minimizing inter-domain feature distribution discrepancies, explicitly mitigating the distribution variations induced by changes in working conditions. …”
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SolarGAN for Meso-Level Solar Radiation Prediction at the Urban Scale: A Case Study in Boston by Yijun Lu, Xinru Li, Siyuan Wu, Yuankai Wang, Waishan Qiu, Da Chen, Yifan Li

“…The model’s capability to generate high-resolution (2 m) solar radiation maps from simplified inputs demonstrates the potential of GANs for urban climate data prediction, offering a rapid and efficient alternative to traditional methods. This approach holds significant potential for urban planning, particularly in optimizing photovoltaic (PV) system layouts and managing the UHI effect.…”
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Panoramic X-Ray Synthesis From Dental CBCT Using Patient-Tailored Simulated Geometry With Uniform Projection Sampling by Anusree P. Sunilkumar, Bikram Keshari Parida, Seong-Yong Moon, Wonsang You

“…Our method adjusts the ray trajectory to be optimal for a patient’s jaw shape and also achieves uniform ray sampling throughout the patient’s jaw by progressively increasing ray sampling intervals. …”
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FedITD: A Federated Parameter-Efficient Tuning With Pre-Trained Large Language Models and Transfer Learning Framework for Insider Threat Detection by Zhi Qiang Wang, Haopeng Wang, Abdulmotaleb El Saddik

“…Extensive experiment results show FedITD’s superior performance, adaptability to varied data, and reduction of resource costs, achieving an optimal balance in detection capabilities across source data, unlabeled local data, and global data. …”
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Patients' perceived needs of osteoarthritis health information: A systematic scoping review. by Louisa Chou, Lisa Ellis, Michelle Papandony, K L Maheeka D Seneviwickrama, Flavia M Cicuttini, Kaye Sullivan, Andrew J Teichtahl, Yuanyuan Wang, Andrew M Briggs, Anita E Wluka

“…<h4>Background</h4>Optimal management of osteoarthritis requires active patient participation. …”
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Advances in Non-Thermal Processing of Meat and Monitoring Meat Protein Gels Through Vibrational Spectroscopy by Huanhuan Li, Chenhui Li, Muhammad Shoaib, Wei Zhang, Arul Murugesan

“…Meat is a vital source of high-quality proteins, amino acids, vitamins, and minerals essential for human health. …”
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MODERN VIEWS ON TOOTH WHITENING by O.S. Kyrmanov, A.V. Lemeshko

“…Purpose. Analysis of the sources of scientific and medical information about the features of tooth whitening by various methods and their effectiveness with the presentation of their own clinical examples. …”
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Simulation Research on Thermal Characteristics and Experimental Study on Electronic Control Board of the Miniature High-Speed Digital Valve by Meisheng Yang

“…In this study, the dimension of an electromagnetic structure is normalized into a unified variable, and the numerical analysis method is used to optimize the values of each parameter size on the premise of satisfying the requirements. …”
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HD-6mAPred: a hybrid deep learning approach for accurate prediction of N6-methyladenine sites in plant species by Huimin Li, Wei Gao, Yi Tang, Xiaotian Guo

“…This study aimed to develop a robust method to address these challenges. Methods We proposed HD-6mAPred, a hybrid deep learning model that combines bidirectional gated recurrent unit (BiGRU), convolutional neural network (CNN) and attention mechanism, along with various DNA sequence coding schemes. …”
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The biological effect of a combination of platelet lysate and amniotic membrane in buccal epithelium culture by E. V. Chentsova, N. V. Borovkova, P. V. Makarov, D. A. Bozhenko, I. N. Ponomarev, M. V. Storozheva, M. S. Makarov

“…Purpose: To study the biological effect of a combination of platelet lysate and amniotic membrane, preserved by various techniques, on human buccal epithelium culture. Materials and methods. Human amnion transplants were preserved using 3 methods: silicate drying, lyophilization, cryopreservation. …”
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Chip Design of PTP Time Synchronization for Industrial IoT by Yee-Shao Chen, Yuan-Sun Chu, da-Wei Lo, Yen-Ting Chiang, Ting-Chao Hou

“…In order to improve time accuracy and reduce delays caused by network protocol stacking, this study designed the chip on the data link layer and optimized the original IEEE 1588 protocol. These optimization methods include compensating clock skew and removing run-trip delay Time is too large mechanism. …”
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Purification and characterization of L-asparaginase produced from Bacillus sp. by Sahar I. H., Zaid A. H., Milad A.

“…After 24 hours of incubation, submerged fermentation yielded optimal conditions for the production of L-asparaginase (L-ASNase) by the chosen isolate, with medium (2) serving as the optimal medium for production and fructose serving as the optimal source of carbon. …”
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Multi-agent based DRL with federated learning for data transmission in mobile sensor networks by M. Senthamilselvi, C. Ranjeeth Kumar

“…A plethora of routing options have been suggested to tackle this problem. The proposed method distributed and designed to run on a network of interconnected routers. …”
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From plant biomass to biofuels and bio-based chemicals with microbial cell factories by Maša VODOVNIK, Matevž ZLATNAR

“…Waste plant biomass represent abundant source of renewable energy that can be transformed to biofuels and other value-added products, which is currently limited due to the lack of cost-effective biocatalysts. …”
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Road Detection, Monitoring, and Maintenance Using Remotely Sensed Data by Nicholas Fiorentini, Massimo Losa

“…This Special Issue on “Road Detection, Monitoring, and Maintenance Using Remotely Sensed Data” presents innovative strategies leveraging remote sensing technologies, artificial intelligence (AI), and non-destructive testing (NDT) to optimize road infrastructure assessment. The ten papers published in this issue explore diverse methodologies, including novel deep learning algorithms for road inventory, novel methods for pavement crack detection, AI-enhanced ground-penetrating radar (GPR) imaging for subsurface assessment, high-resolution optical satellite imagery for unpaved road assessment, and aerial orthophotography for road mapping. …”
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IP-Enabled C/C++ Based High Level Synthesis: A Step towards Better Designer Productivity and Design Performance by Sharad Sinha, Thambipillai Srikanthan

“…We discuss our proposed methodology in the context of supporting efficient hardware synthesis of a class of mathematical functions without altering original C/C++ source code. Additionally, we also discuss and propose methods to integrate legacy IP cores in existing HLS flows. …”
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Unsupervised domain adaptation multi-level adversarial network for semantic segmentation based on multi-modal features by Zeyu WANG, Shuhui BU, Wei HUANG, Yuanpan ZHENG, Qinggang WU, Huawen CHANG, Xu ZHANG

“…In order to solve the problem of the distribution differences of visual, spatial, and semantic features between domains in domain adaptation, an unsupervised domain adaptation multi-level adversarial network for semantic segmentation based on multi-modal features was proposed.Firstly, an attentive fusion semantic segmentation network with three-layer structure was designed to learn the above three types of features from the source domain and target domain, respectively.Secondly, a self-supervised learning method jointing distribution confidence and semantic confidence was introduced into the single-level adversarial learning, so as to achieve the distribution alignment of more target domain pixels in the process of minimizing the distribution distance of the learnt features between domains.Finally, three adversarial branches and three adaptive sub-networks were jointly optimized by the multi-level adversarial learning method based on multi-modal features, which could effectively learn the invariant representation between domains for the features extracted from each sub-network.The experimental results show that compared with existing state-of-the-art methods, on the datasets of GTA5 to Cityscapes, SYNTHIA to Cityscapes, and SUN-RGBD to NYUD-v2 the proposed network achieves the best mean intersection over union of 62.2%, 66.9%, and 59.7%, respectively.…”
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