Deep Learning-Based Cloud Detection for Optical Remote Sensing Images: A Survey by Zhengxin Wang, Longlong Zhao, Jintao Meng, Yu Han, Xiaoli Li, Ruixia Jiang, Jinsong Chen, Hongzhong Li

“…In the past decade, with the continuous progress of artificial intelligence, algorithms based on deep learning have become one of the main methods for cloud detection. The rapid development of deep learning technology, especially the introduction of self-attention Transformer models, has greatly improved the accuracy of cloud detection tasks while achieving efficient processing of large-scale remote sensing images. …”
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IRGL-RRI: interpretable graph representation learning for plant RNA–RNA interaction discovery by Qingquan Liao, Xuchong Liu, Wei Zhao, Yu Tong, Fangzheng Xu, Xinxin Liu, Yifan Chen

“…However, these methods still struggle with poor prediction accuracy. …”
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Effect of Anaerobic Fermentation on the Aroma Characteristics of Yunnan Arabica Coffee by Chong LU, Xinxin YU, Faguang HU, Xingfei FU, Yuhong ZHAO, Wenjiang DONG

“…In this study, Yunnan Arabica coffee (Coffea arabica L.) was used as raw material, with gas chromatography-mass spectrometry (GC-MS) and electronic nose employed as primary techniques to analyze the transformation of volatile flavor compounds during anaerobic fermentation, followed by the application of multivariate statistical methods to elucidate the evolving patterns of aroma characteristics. …”
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Road Perception for Autonomous Driving: Pothole Detection in Complex Environments Based on Improved YOLOv8 by Siyuan Kong, Qiao Meng, Xin Li, Zhijie Wang, Xin Liu, Bingyu Li

“…However, existing detection methods are often affected by variations in lighting, weather conditions, and complex environments, resulting in lower detection precision and recall rates. …”
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A Comparative Study of Deep Audio Models for Spectrogram- and Waveform-Based SingFake Detection by Minh Nguyen-Duc, Luong Vuong Nguyen, Huy Nguyen-Ho-Nhat, Tri-Hai Nguyen, O-Joun Lee

“…Our findings contribute to developing more effective deepfake singing detection methods, with implications for security, media authentication, and digital content protection.…”
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Assessing the Role of EEG Biosignal Preprocessing to Enhance Multiscale Fuzzy Entropy in Alzheimer’s Disease Detection by Pasquale Arpaia, Maria Cacciapuoti, Andrea Cataldo, Sabatina Criscuolo, Egidio De Benedetto, Antonio Masciullo, Marisa Pesola, Raissa Schiavoni

“…To demonstrate the robustness of the proposed preprocessing methods, binary classification tasks with Support Vector Machines (SVMs), Random Forest (RF), and K-Nearest Neighbor (KNN) classifiers are used. …”
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Public support for unhealthy food marketing policies in Australia: A cross-sectional analysis of the International Food Policy Study 2022 by Clara Gomez-Donoso, Bridget Kelly, Florentine Martino, Adrian J. Cameron, Ana Paula C. Richter, Gary Sacks, Lana Vanderlee, Christine M. White, David Hammond, Kathryn Backholer

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Toward Real-Time Recognition of Continuous Indian Sign Language: A Multi-Modal Approach Using RGB and Pose by M. Geetha, Neena Aloysius, Darshik A. Somasundaran, Amritha Raghunath, Prema Nedungadi

“…The CNN is pre-trained using ISL word videos, while the Transformer is pre-trained on Mediapipe pose estimates from ISL videos. …”
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Study on Improving Liquid Carrying Performance of Horizontal Wells With Swirl Jet Composite Device by Huizhen Liang, Lin Mu, Jinyong Li, Chengzhen Li, Jian Ma

“…This study applies a combination of theoretical, experimental, and simulation methods to conduct computational fluid dynamics analysis on the device's ability to improve the gas well's liquid‐carrying capacity. …”
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Cytotoxicity Evaluation of Tear Substitutes Using in vitro System by O. I. Aleksandrova, I. N. Okolov, Yu. I. Khorolskaya, I. E. Panovа, M. I. Blinova

“…The objective of the study is to evaluate in vitro the cytotoxic effect of different moisture eye drops (containing or without preservatives) on the epithelial cells of the conjunctiva and the cornea.Materials and methods. …”
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PRIVATIZED VIOLENCE: THE ESSENCE AND TYPES OF ITS IMPLEMENTATION IN MODERN WORLD by Микола Адамович Козловець, Вадим Миколайович Слюсар

“…If political violence is institutionalized, incorporated into the mechanism of action of society's values, embedded in the social structure by various methods, and transformed into an instrument of social order organization, primarily through coercion, stimulation and persuasion, then hidden violence, on the contrary, stimulates the increase of uncertainty and chaotic life of everyday life. …”
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Tomato yellow leaf curl virus detection based on cross-domain shared attention and enhanced BiFPN by Henghui Mo, Linjing Wei

“…Traditional manual identification methods are not only costly but also inefficient. …”
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Research progress in wire arc additive manufacturing of NiTi shape memory alloys by LI Zhonghan, LIU Gaofei, LI Shihan, WANG Xiebin, HAO Shijie

“…This paper reviews the research progress in WAAM NiTi shape memory alloys， with emphasis on the influence of process parameters on microstructure， phase transformation behavior， and mechanical properties. The advantages and disadvantages of different arc processes （such as gas metal arc welding， gas tungsten arc welding， and cold metal transfer） in NiTi alloy fabrication are analyzed， along with recent achievements in forming quality， phase transformation temperature control， and mechanical properties through WAAM technology. …”
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Comparison of Standard Percutaneous Nephrolithotomy with Mini-Percutaneous Nephrolithotomy for Removal of Renal Stones in Adults by Asif Alam Khan, Inam Malkani, Junaid Jameel Khattak, Hassan Mumtaz, Mubashir Mazhar, Falak Naz, Arsalan Riaz

“…In mini-PCNL group, stone clearance was observed in 42 (93.3%) patients, while in standard-PCNL group, it was observed in 45 (100%) patients. This difference was insignificant (P > 0.05). Mini-PCNL and standard-PCNL have no significant differences in terms of outcome, operative time, and stone clearance, although fall in hemoglobin level was less in mini-PCNL group, which showed less blood loss in this group, thereby making it a more appropriate method for renal stone removal.…”
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Remaining Useful Life Prediction of Bearings via Semi-Supervised Transfer Learning Based on an Anti-Self-Healing Health Indicator by Jung-Woo Kim, Kyoung-Su Park

“…To address these challenges, this paper proposes a novel semi-supervised transfer learning methodology that integrates an anti-self-healing health indicator (ASH-HI) with a transformer-based architecture. ASH-HI is a health indicator that quantifies the power spectrum density (PSD) difference between normal and abnormal states using skewness-based parameter selection, eliminating the need for manual parameter tuning. …”
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Astronomical Image Superresolution Reconstruction with Deep Learning for Better Identification of Interacting Galaxies by Jiawei Miao, Liangping Tu, Hao Liu, Jian Zhao

“…To further improve visual quality and enhance the details of galaxy structures, we propose a dual-branch network structure combining convolutional neural networks (CNNs) and Transformer (DBCTNet), which leverages the local characteristics of CNNs to complement the global features of Transformer. …”
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Intra-Technology Enhancements for Multi-Service Multi-Priority Short-Range V2X Communication by Ihtisham Khalid, Vasilis Maglogiannis, Dries Naudts, Adnan Shahid, Ingrid Moerman

“…Cooperative Intelligent Transportation Systems (C-ITSs) are emerging as transformative technologies, paving the way for safe and fully automated driving solutions. …”
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Web-based digital twin online laboratories: Methodologies and implementation [version 3; peer review: 2 approved, 1 approved with reservations] by Zhongcheng Lei, Wenshan Hu, Hong Zhou, Guo-Ping Liu

“…Methods: In this article, web-based digital twin online laboratories are discussed, the methodologies and implementation of which are presented in detail. …”
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Web-based digital twin online laboratories: Methodologies and implementation [version 2; peer review: 1 approved, 2 approved with reservations] by Zhongcheng Lei, Wenshan Hu, Hong Zhou, Guo-Ping Liu

“…Methods: In this article, web-based digital twin online laboratories are discussed, the methodologies and implementation of which are presented in detail. …”
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The MacqD deep-learning-based model for automatic detection of socially housed laboratory macaques by Genevieve Jiawei Moat, Maxime Gaudet-Trafit, Julian Paul, Jaume Bacardit, Suliann Ben Hamed, Colline Poirier

“…Abstract Despite advancements in video-based behaviour analysis and detection models for various species, existing methods are suboptimal to detect macaques in complex laboratory environments. …”
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