Deep Learning-Based AI-Assisted Visual Inspection Systems for Historic Buildings and their Comparative Performance with ChatGPT-4O by M. Mishra, M. Mishra, K. Zhang, C. Mea, L. Barazzetti, F. Fassi, F. Fiorillo, M. Previtali

“…In the first test phase, to verify the accuracy of the ChatGPT results, benchmark images (depicting different types of damage) extracted from the UNI 11182 (2006) standard referring to the definition of degradation types were used. …”
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Exploring the therapeutic potential of different sources of mesenchymal stem cells: a novel approach to combat burn wound infections by Shahrzad Aliniay-Sharafshadehi, Mohammad Hasan Yousefi, Mohammad Hasan Yousefi, Mohammad Ghodratie, Mojtaba Kashfi, Mojtaba Kashfi, Hamed Afkhami, Hamed Afkhami, Hamed Afkhami, Seyed Mehdi Ghoreyshiamiri

“…Since 2000, the use of mesenchymal stem cells (MSCs) in regenerative medicine and wound healing has increased. They can be extracted from various tissues, such as bone marrow, fat, the umbilical cord, and the amniotic membrane. …”
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In-Field Forage Biomass and Quality Prediction Using Image and VIS-NIR Proximal Sensing with Machine Learning and Covariance-Based Strategies for Livestock Management in Silvopasto... by Claudia M. Serpa-Imbett, Erika L. Gómez-Palencia, Diego A. Medina-Herrera, Jorge A. Mejía-Luquez, Remberto R. Martínez, William O. Burgos-Paz, Lorena A. Aguayo-Ulloa

“…Data collection was conducted using a cellphone camera and a handheld VIS-NIR spectrometer. Feature extraction to build the dataset involved image segmentation, performed using the Mahalanobis distance algorithm, as well as spectral processing to calculate multiple vegetation indices. …”
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Effectiveness and safety of rotary and reciprocating kinematics for retreatment of curved root canals: a systematic review of in vitro studies by Lucas Pinho Simões, Alexandre Henrique dos Reis-Prado, Carlos Roberto Emerenciano Bueno, Ana Cecília Diniz Viana, Marco Antônio Húngaro Duarte, Luciano Tavares Angelo Cintra, Cleidiel Aparecido Araújo Lemos, Francine Benetti

“…A systematic search (PubMed/MEDLINE, Scopus, and other databases, until January 2021), data extraction, and risk of bias analysis (Joanna Briggs Institute checklist) were performed. …”
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New Insights into Antiviral Natural Formulations: Biopolymeric Films for the Prevention and Treatment of a Wide Gamma of Viral Infections by Victoria Belén Ayala-Peña, Ana Karen Jaimes, Ana Lucía Conesa, Cybele Carina García, Claudia Soledad Sepulveda, Fernando Gaspar Dellatorre, Ezequiel Latour, Nora Marta Andrea Ponce, Vera Alejandra Álvarez, Verónica Leticia Lassalle

“…Viral infections remain a major concern, as existing treatments often yield inadequate responses or lead to the development of antiviral resistance in some cases. Fucoidan extracted from <i>Undaria pinnatifida</i> (F) is a natural sulphated polysaccharide that exhibits antiviral action. …”
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An analysis of One Health timeliness metrics across multisectoral public health emergencies in Uganda by Jane K. Fieldhouse, Lydia Nakiire, Joshua Kayiwa, Ali Mirzazadeh, Claire D. Brindis, Ashley Mitchell, Jaime Sepulveda, Issa Makumbi, Alex Riolexus Ario, Elizabeth Fair, Sarah Gallalee, Herbert Isabirye, Musa Sekamatte, Brian H. Bird, Woutrina Smith, Angel Desai, Jonna A. K. Mazet, Mohammed Lamorde

“…Outbreak milestone dates were extracted from reports to calculate timeliness metrics, which were analyzed using proportional hazards regression models. …”
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Automatic Thyroid Nodule Detection in Ultrasound Imaging With Improved YOLOv5 Neural Network by Daqing Yang, Jianfu Xia, Rizeng Li, Wencai Li, Jisheng Liu, Rongjian Wang, Dong Qu, Jie You

“…It comprises the coordinate attention (CA) module and the label smoothing regularization (LSR) module, in which the CA module enables the network ability of positional information extraction. The improved neural network correctly recognizes the lesion area and nodule type with a mean average precision (mAP) of 95.3&#x0025; in 8.4 ms on the test set. …”
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Jordanian banknote data recognition: A CNN-based approach with attention mechanism by Ahmad Nasayreh, Ameera S. Jaradat, Hasan Gharaibeh, Waed Dawaghreh, Rabia Mehamad Al Mamlook, Yaqeen Alqudah, Qais Al-Na'amneh, Mohammad Sh. Daoud, Hazem Migdady, Laith Abualigah

“…The proposed model has proven its ability to recognize counterfeits with high performance and accuracy while focusing on the important features extracted. …”
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JiuZhou: open foundation language models and effective pre-training framework for geoscience by Zhou Chen, Ming Lin, Mingrun Zang, Zimeng Wang, Juanzi Li, Yuqi Bai

“…Geoscience research has generated vast amounts of data, creating a need for effective extraction and integration of knowledge to address global-change challenges, promote sustainable development, and accelerate scientific discovery. …”
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Olive mill wastewater as a source of defense-promoting by-products against microbial pathogens by Ascenzo Salvati, Fabio Sciubba, Alessandra Diomaiuti, Gian Paolo Leone, Daniele Pizzichini, Daniela Bellincampi, Daniela Pontiggia

“…Olive industry is moving to novel extraction systems for higher oil yield and quality and for waste reduction, which is a relevant problem in the process due to its toxicity and high disposal costs. …”
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Multi-layer feature fusion and attention-enhanced YOLOv9 for rapid field detection of greenhouse blueberry maturity at long and short distances by Ziwei Pan, Lei Xu, Wanjin Zhao, Cong Fan, Xihao Zhang, Weihui Chen, Yonglin Shen, Nengcheng Chen

“…To increase the weights of relevant regions and useful features, a feature extraction module with spatial and channel attention mechanisms, RepNCSPELAN4-A, is designed. …”
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A Novel High-Resolution Fully Polarization Nonparametric Spectrum Estimation Method for Forest SAR Tomography by Youjun Wang, Xing Peng, Qinghua Xie, Yanan Du, Bing Zhang, Xiaomin Luo, Weijun Yan, Xinwu Li

“…Moreover, most current tomographic focusing estimators suffer from low elevation resolution and are vulnerable to sidelobe interference, leading to inadequate spectral estimation and parameter extraction performance. Based on this, this article first proposes a high-resolution fully polarimetric nonparametric spectrum estimation algorithm with low sidelobes. …”
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Automatic Lateralization of Temporal Lobe Epilepsy Based on MEG Network Features Using Support Vector Machines by Ting Wu, Duo Chen, Qiqi Chen, Rui Zhang, Wenyu Zhang, Yuejun Li, Ling Zhang, Hongyi Liu, Suiren Wan, Tianzi Jiang, Junpeng Zhang

“…Brain-network features were extracted for each participant using three network metrics (nodal degree, betweenness centrality, and nodal efficiency). …”
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Local Sub-Block Contrast and Spatial–Spectral Gradient Feature Fusion for Hyperspectral Anomaly Detection by Dong Zhao, Xingchen Xu, Mingtao You, Pattathal V. Arun, Zhe Zhao, Jiahong Ren, Li Wu, Huixin Zhou

“…Additionally, to mitigate the challenges posed by complex backgrounds, a feature extraction technique based on spatial–spectral gradients is proposed. …”
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Resveratrol activates PGC-1α pathway via PRAKK1 to regulate mitochondrial biogenesis and alleviate inflammatory responses in bovine mammary epithelial cells by ChunLi Hu, YanHao An, XueHu Ma, Xue Feng, Yun Ma, Yanfen Ma

“…Mastitis in dairy cows is an important factor restricting the healthy development of dairy industry. Natural extracts have become a research hotspot to alleviate and prevent diseases because of their unique properties. …”
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Evaluation of vitamin D supplementation in osteogenic differentiation potential of diabetic and non-diabetic dental pulp stem cells by A. Gaydhani, S. Kheur, M. S. Jadhav, L. L. Rajpurohit, N. Suresh, A. Mathur, S. Selvaraj, F. Amekpor

“…The experimental study was conducted using oral mesenchymal stem cells (MSC) derived from adult dental pulp extirpated from extracted permanent premolar and third molar teeth of healthy patients and diabetic patients. …”
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Joint Optical Performance Monitoring and Modulation Format&#x002F;Bit-Rate Identification by CNN-Based Multi-Task Learning by Xiaojie Fan, Yulai Xie, Fang Ren, Yiying Zhang, Xiaoshan Huang, Wei Chen, Tianwen Zhangsun, Jianping Wang

“…Instead of treating the monitoring and identification tasks as separate problems, a novel MTL technique is used to joint optimization of them utilizing the ability of feature extraction and feature sharing. …”
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Nitroxyl Hybrids with Curcumin and Stilbene Scaffolds Display Potent Antioxidant Activity, Remodel the Amyloid Beta Oligomer, and Reverse Amyloid Beta-Induced Cytotoxicity by Madhu S. Budamagunta, Hidetoshi Mori, Joshua Silk, Ryan R. Slez, Balázs Bognár, Ulises Ruiz Mendiola, Tamás Kálai, Izumi Maezawa, John C. Voss

“…Measurements of PAL AβO binding and remolding along with assessments of bioactivity allow for the extraction of useful SAR information from screening data. …”
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Evolving ML-Based Intrusion Detection: Cyber Threat Intelligence for Dynamic Model Updates by Ying-Dar Lin, Yi-Hsin Lu, Ren-Hung Hwang, Yuan-Cheng Lai, Didik Sudyana, Wei-Bin Lee

“…However, due to its diverse forms, existing research often only analyzes reports and extracts Indicators of Compromise (IoC) to create an IoC Database for configuring blocklists, a method that attackers can easily circumvent. …”
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A Multiscale Convolution SAR Image Target Recognition Method Based on Complex-Valued Neural Networks by Guangyu Hou, Zhihui Xin, Guisheng Liao, Penghui Huang, Yuhao Huang, Rui Zou

“…Second, in order to further enhance the representation ability of the model, multiscale information of the target is extracted through different convolution kernel sizes. …”
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