One-Point Calibration of Low-Cost Sensors for Particulate Air Matter (PM) Concentration Measurement by Luigi Russi, Paolo Guidorzi, Giovanni Semprini, Arianna Trentini, Beatrice Pulvirenti

“…Overall, good quality and consistency of the data among the sensors were achieved.…”
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Nanoscale Cross-Sectional Characterization of Thin Layers in Material Assemblies by Frédéric Addiego, Rutuja Bhusari, Julien Bardon, Sascha Scholzen, Zainhia Kaidi

“…Combining techniques that offer complementary structural information—such as morphological, chemical, and nanomechanical data—is recommended to gain a comprehensive understanding of the nano-layer’s structure and properties. …”
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Spray-Flame Synthesis (SFS) and Characterization of Li_1.3Al_0.3−xY_xTi_1.7(PO₄)₃ [LA(Y)TP] Solid Electrolytes by Md Yusuf Ali, Hans Orthner, Hartmut Wiggers

“…Rietveld analysis of X-Ray diffraction data demonstrated that the crystal volume increases with Y doping. …”
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DTNLS: 3D Point Cloud Segmentation Based on 2D Image and 3D Point Cloud Double Texture Feature by Zhiguang Liu, Xiaoxiao Yan, Jiahui Zhao, Yong Shi, Fei Yu, Jian Zhao

“…We conducted empirical studies on public datasets and our datasets to demonstrate that DTNLS has broad applicability and better performance in 3D point cloud segmentation than the previous latest techniques, without the need for any 2D images and 3D point cloud training data.…”
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Comparative assessment of a virtual performance measure with self-report and performance-based outcomes in patients with hip osteoarthritis by Helen Razmjou, Suzanne Denis, Susan Robarts, Amy Wainwright, Patricia Dickson, Ania Roszkowski, John Murnaghan

“…Clinical trial number Not applicable.…”
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Change processes in cognitive therapy for social anxiety disorder: A comparison of face-to-face and internet-based treatment formats by Graham R. Thew, Anke Ehlers, David M. Clark

“…Efforts to improve the efficacy and efficiency of SAD interventions by targeting these factors may therefore be equally applicable to online and face-to-face interventions.…”
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Study on the Anti-inflammatory and Antioxidant Effects of Sipyungtang by Na Young Jo, Eun Yong Lee, Jeong Du Roh, Cham Kyul Lee

“…Based on these findings, Sipyungtang may have potential applications in treating diseases caused by inflammation.…”

CNN-GRU-ATT Method for Resistivity Logging Curve Reconstruction and Fluid Property Identification in Marine Carbonate Reservoirs by Jianhong Guo, Hengyang Lv, Qing Zhao, Yuxin Yang, Zuomin Zhu, Zhansong Zhang

“…This study proposes an inversion model for deep resistivity curves in marine carbonate reservoirs, specifically the Mishrif Formation of the Halfaya Field, by integrating a deep learning model called CNN-GRU-ATT, which combines Convolutional Neural Networks (CNN), Gated Recurrent Units (GRU), and the Attention Mechanism (ATT). Using logging data from the marine carbonate oil layers, the reconstructed deep resistivity curve is compared with actual measurements to determine reservoir fluid properties. …”
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Artificial Neural Network Modeling of NixMnxOx based Thermistor for Predicative Synthesis and Characterization by T.D. Dongale, K.G. Kharade, N.B. Mullani, G.M. Naik, R.K. Kamat

“…To model such sort of behavior, we provide nickel content, room temperature resistance, and concentration of oxalic acid as an input data to the network and predict the nickel acetate and manganese acetate concentration. …”
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Facial Beauty Prediction Combining Dual-Branch Feature Fusion With a Stacked Broad Learning System by Junying Gan, Hantian Chen, Wenchao Xu, Huicong Li, Zhenxin Zhuang, Zhen Chen

“…Current models rely on single feature extraction, such as using a single convolutional neural network to extract local feature, failing to capture other potentially more important information contained within facial data and limiting feature diversity. Dual-branch feature fusion complements key features from multiple models, reducing reliance on single features. …”
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SmartRipen: LSTM-GRU feature selection& XGBoost-CNN for fruit ripeness detection by Archana Ganesh Said, Bharti Joshi

“…On Mango as well as Apple data sets, precision, reliability, as well as recall improved 8.3 %, 4.9 %, and 3.4 %. …”
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Safety and efficacy of a feed additive consisting of endo‐1,4‐β xylanase, endo‐1,4‐β‐glucanase and xyloglucan‐specific‐endo‐β‐1,4‐glucanase produced by Trichoderma citrinoviride DS... by EFSA Panel on Additives and Products or Substances used in Animal Feed (FEEDAP), Vasileios Bampidis, Giovanna Azimonti, Maria de Lourdes Bastos, Henrik Christensen, Mojca Durjava, Birgit Dusemund, Maryline Kouba, Marta López‐Alonso, Secundino López Puente, Francesca Marcon, Baltasar Mayo, Alena Pechová, Mariana Petkova, Fernando Ramos, Roberto Edoardo Villa, Ruud Woutersen, Giovanna Martelli, Andrey Yurkov, Montserrat Anguita, Jaume Galobart, Matteo L. Innocenti, Elisa Pettenati, Jordi Ortuño

“…Owing to the lack of sufficient data, the Panel could not conclude on the efficacy of the additive for Suidae for fattening or reared for reproduction.…”
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Kidney diseases and single-cell sequencing research: a bibliometric analysis from 2015 to 2024 by Yaotan Li, Jinyi Hou, Xinghua Zhang, Xiaochang Wu, Shijia Lin, Weijing Liu, Yaoxian Wang, Huijuan Zheng

“…We conducted a bibliometric analysis of publications describing the use of scRNA-seq in kidney disease research from 2015 to 2024 using the Web of Science Core Collection (WoSCC) database. Data analysis was performed using the R packages Bibliometrix, VOSviewer, and CiteSpace to systematically evaluate the research landscape and emerging trends.Results A total of 1,210 publications on scRNA-seq in kidney diseases were identified. …”
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Land Cover Classification Model Using Multispectral Satellite Images Based on a Deep Learning Synergistic Semantic Segmentation Network by Abdorreza Alavi Gharahbagh, Vahid Hajihashemi, José J. M. Machado, João Manuel R. S. Tavares

“…Additionally, the proposed approach is robust to data imbalance cases and can dynamically update its codewords over different seasons. …”
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The Value of Pepsinogen in GC Screening: A Systematic Review and Meta-Analysis by Ling Liu, Junjie Lang, Yuelong Jin, Yan Chen, Weiwei Chang, Yingshui Yao, Jiegen Yu

“…The current gold standard for gastric cancer (GC) screening is pathology or a barium meal followed by X-ray. This is not applicable to a wide range of screening capabilities due to the lack of operability. …”
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Association between inflammatory burden index and risk of heart failure: evidence from NHANES 2003–2017 by Li-Xin Yun, Wan-Zhong Huang, Changjing He, Yuan Huang, Hua-Feng Yang, Qiang Su, Da-Zhi Lan, Yang-Chun Liu

“…Clinical trial number Not applicable.…”
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Smart UAV-assisted rose growth monitoring with improved YOLOv10 and Mamba restoration techniques by Fan Zhao, Zhiyan Ren, Jiaqi Wang, Qingyang Wu, Dianhan Xi, Xinlei Shao, Yongying Liu, Yijia Chen, Katsunori Mizuno

“…This research lays the groundwork for broader applications of UAV and AI technologies in sustainable agriculture. …”
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Machine learning analysis of cardiovascular risk factors and their associations with hearing loss by Ali Nabavi, Farimah Safari, Ali Faramarzi, Mohammad Kashkooli, Meskerem Aleka Kebede, Tesfamariam Aklilu, Leo Anthony Celi

“…The National Health and Nutrition Examination Survey (NHANES) 2012–2018 data comprising audiometric tests and cardiovascular risk factors was utilized. …”
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Advanced gustometer design for reliable recording of gustatory event-related potentials in healthy young adults by Zhongyan Chen, Xiaolin Zhou, Xiaolin Zhou, Chunjing Li, Jianfeng Liu, Jianfeng Liu

“…The Neuro-Audio EEG platform recorded EEG data from 46 volunteers. Psychophysical gustatory tests assessed gustatory function. …”
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Mid-term angiographic evaluation of LIMA-LAD anastomoses following LAD endarterectomy in coronary artery bypass grafting by Farida Zahirova, Çiğdem Tel Üstünışık, Berk Arapi, Deniz Göksedef, Suat Nail Ömeroğlu, Gökhan İpek, Ozan Onur Balkanay

“…The data, including contrast imaging to check graft patency, were evaluated retrospectively by reviewing hospital archives and patient files. …”
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