Structural Design of Hybrid Fillers in a Polymer Matrix for Advanced Electromagnetic Interference Shielding by Uiseok Hwang, Jinwoo Lee, Seunghyun Kim, Xin Yang, Soochan Kim, Jonghwan Suhr, Jae‐Do Nam

“…Although these requirements can be satisfied by incorporating different types of fillers, high filler loadings often lead to issues such as poor processability and increased material costs. …”
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Fusing MODIS and AVHRR products to generate a global 1-km continuous NDVI time series covering four decades by Xiaobin Guan, Huanfeng Shen, Yuchen Wang, Dong Chu, Xinghua Li, Linwei Yue, Wei Li, Xinxin Liu, Liangpei Zhang

“…A multi-step processing fusion framework, containing temporal filtering, normalization, spatiotemporal fusion, and residual error correction, was employed to combine the superior characteristics of the two products, respectively. …”
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Artificial Intelligence-Based Segmentation and Classification of Plant Images with Missing Parts and Fractal Dimension Estimation by Ganbayar Batchuluun, Seung Gu Kim, Jung Soo Kim, Tahir Mahmood, Kang Ryoung Park

“…However, limited camera viewing angles can cause parts of the plant to be invisible in the acquired images, leading to an inaccurate classification. However, this issue has not been addressed by previous research. …”
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Adaptive Measurement and Parameter Estimation for Low-SNR PRBC-PAM Signal Based on Adjusting Zero Value and Chaotic State Ratio by Minghui Lv, Xiaopeng Yan, Ke Wang, Xinhong Hao, Jian Dai

“…Firstly, the short-time Fourier transform (STFT) is used for chaotic state identification and ternary processing. Then, two novel approaches are proposed, including the adjusting zero value (AZV) method and the chaotic state ratio (CSR) method. …”
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Phenological growth stages of common buckwheat (Fagopyrum esculentum Moench.): An extended BBCH scale by Samantha Jo Grimes, Clemens Baier, Jens Hartung, Carl Friedrich Horst Longin, Simone Graeff-Hönninger

“…However, its low profita­bility, lack of sales markets and governmental support, pro­cessing challenges (such as dehulling), and limited consumer awareness of this historical niche crop continue to hinder large-scale cultivation in Germany. …”
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Combined use of long short‐term memory neural network and quantum computation for hierarchical forecasting of locational marginal prices by Xin Huang, Guozhong Liu, Jiajia Huan, Shuxin Luo, Jing Qiu, Feiyan Qin, Yunxia Xu

“…The top layer completes the data processing. The middle layer is a QGWO‐optimised support vector machine (SVM) for classifing whether LMPs are price spikes. …”
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Cutting Force Estimation Using Milling Spindle Vibration-Based Machine Learning by Je-Doo Ryu, Hoon-Hee Lee, Kyoung-Nam Ha, Sung-Ryul Kim, Min Cheol Lee

“…Tool condition monitoring (TCM) has been widely studied to address this issue. Cutting force is a key parameter for evaluating tool wear, but conventional force sensors are costly and difficult to implement. …”
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Convolutional sparse coding network for sparse seismic time-frequency representation by Qiansheng Wei, Zishuai Li, Haonan Feng, Yueying Jiang, Yang Yang, Zhiguo Wang

“…Seismic time-frequency (TF) transforms are essential tools in reservoir interpretation and signal processing, particularly for characterizing frequency variations in non-stationary seismic data. …”
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Comprehensive Analysis of Influenza Viruses’ Trends in Italy: Insights from a Nationwide and Regional Perspective by Francesco Branda , Nicola Petrosillo , Dong Keon Yon , Massimo Ciccozzi , Fabio Scarpa 

“…Influenza remains a significant public health issue, with seasonal trends varying across regions. …”
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CPS-LSTM: Privacy-Sensitive Entity Adaptive Recognition Model for Power Systems by Hao Zhang, Jing Wang, Xuanyuan Wang, Xuhui Lü, Zhenzhi Guan, Zhenghua Cai, Hua Zhang

“…The model features a streamlined architecture, accelerating convergence and enabling parallel sentence processing. Our experimental results demonstrate that CPS-LSTM significantly outperforms the baseline methods in terms of accuracy and recall. …”
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Mapping of Flood Impacts Caused by the September 2023 Storm Daniel in Thessaly’s Plain (Greece) with the Use of Remote Sensing Satellite Data by Triantafyllos Falaras, Anna Dosiou, Stamatina Tounta, Michalis Diakakis, Efthymios Lekkas, Issaak Parcharidis

“…Cloud computing on the Google Earth Engine (GEE) platform is utilized to process satellite image acquisitions and track floodwater evolution dynamics until the complete drainage of the area, making the process significantly faster. …”
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Spiking neural network tactile classification method with faster and more accurate membrane potential representation by Jing Yang, Zukun Yu, Xiaoyang Ji, Zhidong Su, Shaobo Li, Yang Cao

“…Efficiently classifying data obtained by touch sensors has long been an issue. In recent years, spiking neural networks (SNNs) have been widely used in tactile data categorisation due to their temporal information processing benefits, low power consumption, and high biological dependability. …”
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Enhanced Adaptive Sine Multi-Taper Power Spectral Density Estimation for System Performance Evaluation in Low-Frequency Gravitational Wave Detection by Caiyun Liu, Yang Li, Changkang Fu, Hongming Zhang, Qiang Wang, Dong He, Yongmei Huang

“…By balancing the relationship between bias and variance, this approach facilitates gradient processing of the cone number specifically tailored for low-frequency signals. …”
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Evaluation of Finger Movement Impairment Level Recognition Method Based on Fugl-Meyer Assessment Using Surface EMG by Adhe Rahmatullah Sugiharto Suwito P, Ayumi Ohnishi, Yudith Dian Prawitri, Riries Rulaningtyas, Tsutomu Terada, Masahiko Tsukamoto

“…Subjectivity has been an inherent issue in the conventional Fugl-Meyer assessment, which has been the focus of impairment-level recognition in several studies. …”
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Emerging Tools for Design and Implementation of Water Quality Monitoring Based on IoT by Inna Skarga-Bandurova, Yana Krytska, Artem Velykzhanin, Lina Barbaruk, Oleksandr Suvorin, Mikhail Shorokhov

“…In this view, perspectives and development issues of IoT-based water quality monitoring are also discussed.…”
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GUEST EDITORS’ NOTE by Piero Amodio, Edward W. Legg, Ljerka Ostojić

“…At the same time, the authors also critically discuss to what extent camouflage behaviour can be used to investigate cephalopods’ cognitive processes. The next two papers bring up critical issues for current research on psychological processes through studying behaviour, one in terms of methods and the other in terms of theoretical assumptions. …”
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Exploration of Teaching Reform in the Course of Biomass Development and Utilization by Xiaoxia YE, Qiu WU, Yuancai LV, Yifan LIU, Chunxiang LIN, Jie CHEN

“…Experimental data was processed and analyzed using Origin software. These reform measures have not only enhanced the teaching quality of the course but also effectively promoted the improvement of students’ innovative abilities and overall qualities.…”
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Addressing mathematical discrepancies in the adsorption model of Hashem et al. (2024): A technical commentary by Guilherme Malafaia

“…Additionally, the assertion that the adsorption process can continue indefinitely is fundamentally flawed based on the principles of adsorption thermodynamics. …”
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Application of Wireless Detonation Technology in Tubing Conveying Perforation by SONG Ning, ZHAO Kailiang, LU Caihao, PENG Xin, ZHAO Yishan, LIU Bing

“…Based on these issues, research on wireless detonation technology is carried out. …”
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Privacy and Security in Digital Health Contact-Tracing: A Narrative Review by Shehani Pigera, Paul van Schaik, Karen Renaud, Miglena Campbell, Petra Manley, Pierre Esser

“…The data were analysed using thematic analysis. (3) Results: Eight main themes were derived: privacy, data protection and control, trust, technical issues, perceived benefit, knowledge and awareness, social influence, and psychological factors. (4) Conclusions: Improving privacy standards and the awareness of the digital contact-tracing process will encourage the acceptance of contact-tracing apps.…”
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