Particle breakage characteristics of calcareous sand under confined compression tests by Zhijiang Li, Biwen Zhang, Yani Lu, Xinlian Chen, Yan Wu, Mingxing Luo, Li Zhong

“…Generally, the relative breakage index of Hardin B r was smaller than the relative breakage index of Einav B e , and there was a close relationship between the two. …”
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Machine Learning Techniques to Analyze the Influence of Silica on the Physico-Chemical Properties of Aerogels by Hamdi Chaouk, Emil Obeid, Jalal Halwani, Jack Arayro, Rabih Mezher, Omar Mouhtady, Eddie Gazo-Hanna, Semaan Amine, Khaled Younes

“…The PCA results demonstrated that silica content has a significant impact on aerogel properties, with the first principal component (PC1) showing a strong positive correlation (R² = 94%) with silica content. This suggests that higher silica levels correspond to lower thermal conductivity, porosity, and BET surface area, while increasing the density and elastic modulus. …”
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Grain Growth of AZ31 Magnesium Alloy Based on Three-Dimensional Cellular Automata by Yanfeng Li, Cuirong Liu, Zhibing Chu, Wei Li, Zhisheng Wu, Shan Gao, Wenwu He

“…Grains of different sizes are distributed normally at different times, most of which are grains with the ratio of grain diameter to average grain diameter R/Rm ≈ 1.0, which meets the minimum energy criterion of grain evolution. …”
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Ivermectin Strengthens Paclitaxel Effectiveness in High-Grade Serous Carcinoma in 3D Cell Cultures by Mariana Nunes, Sara Ricardo

“…Methods: Here, the cytotoxicity of Carboplatin and Paclitaxel, both alone and in combination with Pitavastatin or Ivermectin, were analyzed on two chemoresistant tumor cell lines, OVCAR8 and OVCAR8 PTX R C, in 3D cultures. Cellular viability was assessed using CellTiter-Glo^® Luminescent assays. …”
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Direct Application of Coffee Pulp Vermicompost Produced from Epigeic Earthworms and Its Residual Effect on Vegetative and Reproductive Growth of Hot Pepper (Capsicum annuum L.) by Yohannes Zergaw, Temesgen Kebede, Dargie Tsegay Berhe

“…The collected data were analyzed using R Statistical software. The results recorded in the direct application of 15 t/ha CEV were profoundly higher (P < 0.05), followed by the combined effects of both worms with an application rate of 15 t/ha. …”
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Analysis of Flavone C-Glycosides in the Leaves of Clinacanthus nutans (Burm. f.) Lindau by HPTLC and HPLC-UV/DAD by June Lee Chelyn, Maizatul Hasyima Omar, Nor Syaidatul Akmal Mohd Yousof, Ramesh Ranggasamy, Mohd Isa Wasiman, Zakiah Ismail

“…HPLC method was optimized and validated for the quantification of shaftoside, orientin, isovitexin, and vitexin and was shown to be linear in concentration range tested (0.4–200 μg/mL, r2 ≥ 0.996), precise (RSD ≤ 4.54%), and accurate (95–105%). …”
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Morphological, craniodental, and molecular characterization of Platyrrhinus guianensis (Chiroptera, Phyllostomidae) and second record for Brazil by Amanda C. da S. Lima, Samira B. Mendes, Ana P. M. Olímpio, Fábio H. S. Cardoso, Cleison L. da S. Costa, Elmary da C. Fraga, Maria C. Barros, Iracilda Sampaio

“…Molecular results provide the first public sequence of P. guianensis for the 16S rRNA gene and a new sequence for the COI gene, which will be useful in future studies for the species. …”
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Prediction of the Bending Strength of Boltless Steel Connections in Storage Pallet Racks: An Integrated Experimental-FEM-SVM Methodology by Zhi-Jun Lyu, PeiCai Zhao, Qi Lu, Qian Xiang, HongLiang Li

“…The predictive power of the SVM algorithms is estimated by comparison with traditional ANN models via the root mean square error (RMSE), the mean absolute percentage error (MAPE), and the correlation coefficient R. The results obtained indicate that the SVM algorithms slightly outperform the ANN algorithms, although both of them are in good agreement with FEM and physical test. …”
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Species-Level Saltmarsh Vegetation Fractional Cover Estimation Based on Time Series Sentinel-2 Imagery with the Assistance of Sample Expansion by Jinghan Sha, Zhaojun Zhuo, Qingqing Zhou, Yinghai Ke, Mengyao Zhang, Jinyuan Li, Yukui Min

“…When the number of the generated samples was balanced with the real samples, the accuracy improved in terms of both R², RMSE and the spatial consistency.…”
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Multiple PM Low-Cost Sensors, Multiple Seasons’ Data, and Multiple Calibration Models by S Srishti, Pratyush Agrawal, Padmavati Kulkarni, Hrishikesh Chandra Gautam, Meenakshi Kushwaha, V. Sreekanth

“…Model performance metrics included (i) coefficient of determination (R2), (ii) root mean square error (RMSE), (iii) normalised RMSE, and (iv) mean absolute error. …”
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Cloud/VPN-Based Remote Control of a Modular Production System Assisted by a Mobile Cyber–Physical Robotic System—Digital Twin Approach by Georgian Simion, Adrian Filipescu, Dan Ionescu, Adriana Filipescu

“…This paper deals with a “digital twin” (DT) approach for processing, reprocessing, and scrapping (P/R/S) technology running on a modular production system (MPS) assisted by a mobile cyber–physical robotic system (MCPRS). …”
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The effect of platinum-aluminide coating features on high-temperature fatigue life of nickel-based superalloy Rene®80 by Barjesteh M.M., Zangeneh-Madar K., Abbasi S.M., Shirvani K.

“…Also, the results of low cycle fatigue tests at 871°C, R=0 and strain rate of 2×10 -3 s-1 showed a decline in fatigue properties in coated specimens as compared to uncoated sample, at total strains of 0.4, 0.8, and 1.2%. …”
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Impact of Urban Neighborhood Morphology on PM2.5 Concentration Distribution at Different Scale Buffers by Zhen Wang, Kexin Hu, Zheyu Wang, Bo Yang, Zhiyu Chen

“…A stratified sampling strategy, combined with standardized mobile monitoring and fixed-site data, establishes a robust and verifiable data collection methodology. Cross-validation (CV R² > 0.70) further confirms the model’s reliability and robustness. …”
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Effect of Thermal Treatment on the Extraction and Antioxidant and Antiglycation Activities of (Poly)phenols from <i>Ribes magellanicum</i> by Felipe Ávila, Natalia Martinez, Nicolás Mora, Katherine Márquez, Felipe Jiménez-Aspee

“…We show that TT affects the (poly)phenolic composition of <i>R. magellanicum</i>, producing a decrease in the antiglycation activity when extractions are performed with increasing water content, despite increasing TPC and FRAP activity.…”
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Treatment of petrochemical wastewater with low C/N by IFFAS-ESMBR integrated composite process by ZHAO Xuan, LIU Tao, YANG Meng, QIAO Sen

“…Under the applied voltage of -1.2 V, the average growth rate of transmembrane pressure difference(TMP) of CNT-PVDF composite hollow fiber membrane was only 2.5 kPa/d, and the PN/PS of sludge on the membrane surface decreased gradually, indicating that the degree of irreversible membrane fouling was mild. 16S rRNA high-throughput sequencing showed that a large number of carbon and nitrogen removal functional bacteria, such as Rhodobacterales, Verrucomicrobiales, Anaerolineales and Xanthomonadales, were enriched in suspended sludge, membrane surface sludge and carrier surface sludge, which played a significant role in the degradation of organic matter and ammonia nitrogen in the reactor. …”
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rule4ml: an open-source tool for resource utilization and latency estimation for ML models on FPGA by Mohammad Mehdi Rahimifar, Hamza Ezzaoui Rahali, Audrey C Therrien

“…The predictors were evaluated on both synthetic and existing benchmark architectures and demonstrated high accuracy with R ^2 scores ranging between 0.8 and 0.98 on the validation set and sMAPE values between 10% and 30%. …”
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Artificial simulated saliva, gastric and intestinal digestion and fermentation in vitro by human gut microbiota of intrapolysaccharide from Paecilomyces cicadae TJJ1213 by Juanjuan Tian, Xiaomeng Wang, Xueliang Zhang, Xiaohong Chen, Mingsheng Dong, Xin Rui, Qiuqin Zhang, Mei Jiang, Wei Li

“…However, they can be hydrolyzed and utilized by gut microbiota, and short-chain fatty acids (SCFAs) level were increased after IPS1and IPS2 treatments. Furthermore, 16S rRNA sequencing analysis of fermentation samples were performed. …”
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An Interpretable Prediction Method for Tobacco Drying Process Based on CGTNN by Wencai Wang, Chen Yang, Wenwei Niu, Sidi Lin, Qiang Gao, Zhe Cao, Jianning Chen, Jianzhong Li, Zhengkui Li

“…Experiments with production data show that the model accurately predicts moisture content with a Mean Absolute Error (MAE) of 0.016%, Root Mean Squared Error (RMSE) of 0.024%, and an Explainable variance (R2) of 0.987, outperforming other models. This approach significantly reduces delays and errors in moisture monitoring, enhancing accuracy and reliability in practical applications.…”
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Mid-Late Holocene Stalagmite δ18O and δ13C Records in Naduo Cave, Guizhou Province, China by Jialu Wang

“…First, according to correlation analysis, δ18O and δ13C were significantly correlated (correlation coefficient r = 0.308, n = 318, P<0.001) during the 5.07–2.00 ka BP period. …”
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Machine learning-based myocardial infarction bibliometric analysis by Ying Fang, Yuedi Wu, Lijuan Gao

“…Additionally, it compared the contributions of various countries, authors, and agencies to the field of ML research focused on MI.MethodA total of 1,036 publications were collected from the Web of Science Core Collection database. CiteSpace 6.3.R1, Bibliometrix, and VOSviewer were utilized to analyze bibliometric characteristics, determining the number of publications, countries, institutions, authors, keywords, and cited authors, documents, and journals in popular scientific fields. …”
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