U-Net-based VGG19 model for improved facial expression recognition by Xiaohu ZHAO, Jingyi ZHANG, Mingzhi JIAO, Lixun XIE, Lanfei WANG, Weiqing SUN, Di ZHANG

“…The use of feature cropping and stitching techniques allows the model to efficiently integrate multi-scale features, thereby enhancing the robustness and effectiveness of facial expression recognition tasks. …”
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STREAM: a system for tracing radiative transfer and energy balance in heterogeneous surfaces by Tengyuan Fan, Zunjian Bian, Jean-Louis Roujean, Huaguo Huang, Hua Li, Junhua Bai, Biao Cao, Yongming Du, Qing Xiao, Qinhuo Liu

“…This novel approach provides an efficient and accurate framework for simulating LST temporal characteristics for large-scale scenarios on TIR remote sensing.…”
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Metabolome Profiling and Predictive Modeling of Dark Green Leaf Trait in Bunching Onion Varieties by Tetsuya Nakajima, Mari Kobayashi, Masato Fuji, Kouei Fujii, Mostafa Abdelrahman, Yasumasa Matsuoka, Jun’ichi Mano, Muneo Sato, Masami Yokota Hirai, Naoki Yamauchi, Masayoshi Shigyo

“…These advancements enable the efficient selection of dark green varieties and facilitate the establishment of optimal growth environments through plant growth monitoring. …”
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Identification of Metabolites of Ferulic Acid in Human after Oral Administration by Qian PAN, Wei LI, Yang YANG, Yong-qiang ZHAO, Li LIAN, Qing-qing CONG, Li-hong WANG, Yue-lin SONG, Qian HONG

“…Liquid chromatography coupled with mass spectrometry (LC-MS) combines the high-efficiency separation capabilities of LC with the powerful qualitative analysis advantage of MS, playing a vital and irreplaceable role in the in-depth study of chemical profiles in complex systems. …”
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Metallurgical Waste for Sustainable Agriculture: Converter Slag and Blast-Furnace Sludge Increase Oat Yield in Acidic Soils by Olga V. Zakharova, Peter A. Baranchikov, Svetlana P. Chebotaryova, Gregory V. Grigoriev, Nataliya S. Strekalova, Tatiana A. Grodetskaya, Igor N. Burmistrov, Sergey V. Volokhov, Denis V. Kuznetsov, Alexander A. Gusev

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Quantitative and Qualitative Evaluation of Microplastic Contamination of Shrimp Using Visible Near-Infrared Multispectral Imaging Technology Combined with Supervised Self-Organizin... by Sureerat Makmuang, Abderrahmane Aït-Kaddour

“…However, accurately detecting and characterizing MPs in biological samples remains a challenge due to the complexity of biological matrices and analytical limitations. …”
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Research on bearing fault feature transfer diagnosis based on balanced distribution adaptation under feature fusion by Lulu Wang, Yongqi Li, Chunyi Zhang, Ralph Gerard Sangalang

“…Firstly, time-domain features of the bearing signals are extracted to comprehensively reflect the operational state of the bearings. Principal Component Analysis (PCA) is then utilized to reduce the dimensionality of the high-dimensional features, preserving the main information while reducing computational complexity. …”
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Systems monitoring platform integrating artificial intelligence for incident response in servers by Bruno Hiroshi Espinosa-Luna, Johann Castillo-Oliva, Willy Francisco García-Gutiérrez, Alberto Carlos Mendoza-de-los-Santos

“… The increasing complexity of IT management and the need to monitor critical infrastructure metrics, such as CPU usage, memory, storage, and service logs, detect failures, and respond quickly to alerts, imply the adoption of advanced technologies that enable comprehensive monitoring and efficient response. …”
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Syntactic Analysis of Spatial Structure Characteristics of Traditional Villages Along the Yellow River in Western Shanxi Province by Chenge GAO, Fang WANG

“…ObjectiveTraditional villages are typical carriers for examining the genetic makeup and cultural lineage of the Chinese nation and reflecting the interaction between human and nature. …”
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Robust Network Traffic Classification Based on Information Bottleneck Neural Network by Wei Lin, Yu Chen

“…Recent advances in machine learning have improved NTC but often struggle with data labeling, encrypted traffic, and model complexity. This paper introduces a novel Information Bottleneck Neural Network (IBNN) to address these challenges by efficiently extracting essential features from raw traffic data while minimizing irrelevant information. …”
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A Hybrid Approach to Enhanced Signal Denoising Using Data-Driven Multiresolution Analysis with Detrended-Fluctuation-Analysis-Based Thresholding and Stationary Wavelet Transform by Fatima Kozhamkulova, Muhammad Tahir Akhtar

“…It is demonstrated that the proposed method outperforms the state-of-the-art denoising methods and with a comparable computational complexity.…”
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Unravelling single-cell DNA replication timing dynamics using machine learning reveals heterogeneity in cancer progression by Joseph M. Josephides, Chun-Long Chen

“…Here, we develop MnM, an efficient machine learning-based tool that allows disentangling scRT profiles from heterogenous samples. …”
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Patient characteristics and hospitalisation costs of spinal muscular atrophy in Spain: a retrospective multicentre database analysis by Josep Darbà, Alicia Marsà

“…The average annual cost per admission was €6274, with large variations likely to reflect disease complexity and that increases with length of stay.Conclusions The rarity of the disease difficulties the study of demographics and management; yet, an analysis of patient characteristics provides necessary information that can be used by governments to establish more efficient healthcare protocols. …”
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Objective Feedback Recommendation in Multicriteria Large-Group Emergency Decision-Making by D. D. Orshella, N. A. Masruroh, H. M. Arini

“…In emergencies, a comprehensive solution must be determined using large-group emergency decision making (LGEDM), which relies on the perspectives of experts from various fields. The inherent complexity and uncertainty of these situations necessitate the adoption of multicriteria decision-making approaches. …”
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AI in Marketing Management: Executive Perspectives from Companies

“…The findings reveal that effort expectancy and facilitating conditions are critical drivers of AI adoption. AI aversion, reflecting concerns about distrust, complexity, and ethical risks, emerges as a significant barrier, particularly for CEOs of smaller firms, where its impact is notably stronger. …”
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Effects of startle on cognitive performance and physiological activity revealed by fNIRS and thermal imaging by Flora Schwartz, Jonathan Deniel, Mickaël Causse

“…In the high difficulty condition, participants were generally less efficient, but their performance improved slightly following startle in the high difficulty condition. …”
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Assessment of ship-block stacking status based on images obtained from drone and geographic information system data by Young-Soo Han, Kyungho Lee, Byeongwook Nam, Yang Ouk Kim, Youngsu Kim, Hyeon-Bin Yeo

“…Hence, we propose a method for monitoring the block storage status based on drone images and shipyard Geographic Information System (GIS) information to support the efficient use of block stockyards. Shipyard GIS information is mapped onto the image acquired from the drone, and the area of the stacked block is detected in the image. …”
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Integrative review of artificial intelligence applications in nursing: education, clinical practice, workload management, and professional perceptions by Rabie Adel El Arab, Omayma Abdulaziz Al Moosa, Mette Sagbakken, Ahmed Ghannam, Fuad H. Abuadas, Joel Somerville, Joel Somerville, Abbas Al Mutair, Abbas Al Mutair, Abbas Al Mutair, Abbas Al Mutair, Abbas Al Mutair

“…Learners also reported an increased cognitive load and heightened stress levels when navigating these more complex, AI-driven activities.Clinical decision support and monitoringAI-enabled alert algorithms and wearable sensors enabled nurses to detect subtle signs of patient deterioration and fever significantly earlier than conventional methods, supporting timelier clinical interventions. …”
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Background reference frame generation method for surveillance video based on image block codebook model by Wei ZHANG, Yu WANG, Xinyi CHEN, Yanwen WANG, Qingyang JING, Weimin LEI

“…To solve the problems that the background reference frames are seriously contaminated by the foreground, and the bit rate increases suddenly incurred by the one-time transmission of the background frames, a progressive background frame generation method with image block as the basic unit was proposed for surveillance video application.An image block codebook model based on clustering was formulated.The image blocks at the same position in the video sequence were effectively clustered by using perceptual hash-based element matching.The background symbol was accurately detected by using the characteristics of the background image area.A complete background frame was produced by extracting the background blocks in different frames based on the codebook model.Experimental results demonstrate that the proposed method achieves 17.89% coding efficiency for luma component compared with standard HM16.20, and can effectively improve the quality of the produced background reference frame.Besides, the proposed method complexity meets the real-time requirements of video applications.…”
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The Direct Gene Injection Using of Egg Yolk Emulsion as Carrier and its Comparison with Liposomes. by Baghdad Science Journal

“…The efficiency of egg yolk emulsion in coating DNA and its delivery across cellular membranes was evaluated in comparison with liposomes DOPE . …”
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