Value Analysis of Preoperative Peripheral Blood Markers in the Identification of Benign From Malignant Parotid Gland Tumors by Zheng Ye, Hui Dong, Fuyong Sui

“…Objectives: To assess the value of preoperative peripheral blood inflammatory and nutritional parameters in distinguishing between benign and malignant parotid gland tumors. …”
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Performance Optimization of the InGaP/GaAs Dual-Junction Solar Cell Using SILVACO TCAD by Marwa S. Salem, Omar M. Saif, Ahmed Shaker, Mohamed Abouelatta, Abdullah J. Alzahrani, Adwan Alanazi, M. K. Elsaid, Rabie A. Ramadan

“…All optimization steps and simulation results are carried out using the SLVACO TCAD tool.…”
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Development of a mathematical model for microbial consumption of glucose and fructose during cocoa (Theobroma cacao L.) fermentation process by Daniel López-Puentes, Franyer López-Valiente, Daniel Rojas-Rodriguez, Diana Arias-Moreno

“…In this way, it is possible to obtain a mathematical tool that allows the representation of sugar consumption during the fermentation process. …”
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Comparison of Morphological and Functional MRI Assessments of Periprostatic Fat for Predicting Prostate Cancer Aggressiveness by David Freire Maia Vieira, Cecília Vidal de Souza Torres, André de Freitas Secaf, Matheus de Moraes Palma, Gabriel de Lion Gouvea, Jorge Elias Júnior, Rodolfo Borges Reis, Valdair Muglia

“…Clinical and MRI parameters were analyzed for associations with biochemical recurrence, systemic metastasis, and PCa-related mortality. …”
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Large-scale epidemiological modelling: scanning for mosquito-borne diseases spatio-temporal patterns in Brazil by Eduardo C. Araujo, Cláudia T. Codeço, Sandro Loch, Luã B. Vacaro, Laís Picinini Freitas, Raquel M. Lana, Leonardo S. Bastos, Iasmim F. de Almeida, Fernanda Valente, Luiz Max Carvalho, Flávio C. Coelho

“…The influence of climate on mosquito-borne diseases like dengue and chikungunya is well established, but comprehensively tracking long-term spatial and temporal trends across large areas has been hindered by fragmented data and limited analysis tools. This study presents an unprecedented analysis, in terms of breadth, estimating the susceptible-infectious-recovered transmission parameters from incidence data in all 5570 municipalities in Brazil over 14 years (2010–2023) for both dengue and chikungunya. …”
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Comprehensive DEM Calibration Using Face Central Composite Design and Response Surface Methodology for Rice–PLA Interactions in Enhanced Bucket Elevator Performance by Pirapat Arunyanart, Nithitorn Kongkaew, Supattarachai Sudsawat

“…Validation through comparative velocity profile analysis during bucket elevator discharge operations confirmed excellent agreement between simulated and experimental behavior despite a 20% discharge velocity variance that warrants further investigation into agricultural material-specific phenomena. The established parameter set enables accurate virtual prototyping of sustainable agricultural handling equipment, offering post-harvest processing engineers a powerful tool for optimizing bulk material handling systems with reduced environmental impact. …”
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Plasma exosomal tsRNA may be used as a marker for differential diagnosis of benign and malignant pulmonary nodules by Na Zhou, Kecheng Li, Li Xie

“…Conclusion Our model highlights its potential as a robust tool for predicting the malignancy probability of pulmonary nodules.…”
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PEEP titration guided by electrical impedance tomography in critically ill mechanically ventilated patients with acute hypoxemic respiratory failure by Dimitar Kazakov, Emral Kyosebekirov, Siyana Nikolova-Kamburova, Valentin Stoilov, Emil Mitkovski, Georgi Pavlov, Chavdar Stefanov, Milena Sandeva

“…The crossing point method of PEEP titration led to improvement of oxygenation in high recruiters and improvement of respiratory mechanics parameters in low recruiters. Conclusion: As a non-invasive and radiation-free monitoring tool EIT allows personalization of PEEP titration with minimum alveolar collapse and overdistention.…”
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Research on the Seismic Performance of Precast RCS Composite Joints Considering the Floor Slab Effect by Yingchu Zhao, Jie Jia, Ziteng Li

“…Prefabricated, modular building technology has become a key tool due to its advantages in energy conservation, emission reduction, and shortened construction periods. …”
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Preoperative prediction of pulmonary ground-glass nodule infiltration status by CT-based radiomics combined with neural networks by Kun Mei, Zikang Feng, Hui Liu, Min Wang, Chao Ce, Shi Yin, Xiaoying Zhang, Bin Wang

“…Additionally, the predicted mismatch rate between lobectomy and sublobectomy was 21.48%, representing a 35.57% reduction, while the mismatch rate within sublobectomy decreased by 13.66%, reaching 10.73% Conclusion The neural network-enhanced imaging model provides a robust predictive tool for assessing the preoperative infiltration status of pulmonary GGNs. …”
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Exploration of geo-spatial data and machine learning algorithms for robust wildfire occurrence prediction by Svetlana Illarionova, Dmitrii Shadrin, Fedor Gubanov, Mikhail Shutov, Usman Tasuev, Ksenia Evteeva, Maksim Mironenko, Evgeny Burnaev

“…In this study, we focus on wildfire occurrence forecasting, which is a valuable tool for facilitating earlier intervention. Conventional approaches primarily rely on the computation of fire indices based on weather conditions. …”
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Prediction of Horizontal in Situ Stress in Shale Reservoirs Based on Machine Learning Models by Wenxuan Yu, Xizhe Li, Wei Guo, Hongming Zhan, Xuefeng Yang, Yongyang Liu, Xiangyang Pei, Weikang He, Longyi Wang, Yaoqiang Lin

“…The error metrics (MAE, MSE, RMSE) of the XGBoost model are significantly lower than those of SVM and Random Forest, demonstrating its precise capture of the nonlinear relationships between logging parameters and in situ stress. This framework enhances the model’s adaptability to complex geological conditions through multi-well data training and eliminating redundant features, providing a reliable tool for hydraulic fracturing design and wellbore stability assessment in shale gas development.…”
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Neuron Network Modeling of Intensification of Isogumulone Extraction in a Rotary Pulse Generator by Anton V. Shafrai, Elena A. Safonova, Dmitry M. Borodulin, Yana S. Golovacheva, Sergey A. Ratnikov, Wasfie Barsoom Wasef Kerlos

“…Artificial neural networks are a popular tool of contemporary research and technology, including food science, where they can be used to model various technological processes. …”
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Cardiac Magnetic Resonance Imaging Markers in Idiopathic Inflammatory Myopathy – A Prospective Observational Study by MM Samim, Ashita Barthur, Seena Vengalil, Saraswati Nashi, Deepak Menon, Kartik Ganga, Bhavana Krishna Gutta, Abhijeet Narsing Jadhao, Dipti Baskar, Ravindu Tiwari, SG Manu, Vidya Nittur, Priya Treesa Thomas, Talakad N Sathyaprabha, Atchayaram Nalini

“…Conclusions: Clinical parameters and CMR multiparametric mapping are shown to be correlated in this prospective investigation. …”
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Kolmogorov–Arnold Networks for Interpretable Crop Yield Prediction Across the U.S. Corn Belt by Mustafa Serkan Isik, Ozan Ozturk, Mehmet Furkan Celik

“…We create a multi-source dataset that includes biophysical parameters along the crop phenology, as well as meteorological, topographic, and soil parameters to perform end-of-season and in-season predictions of county-level corn yields between 2016–2023. …”
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The impact of ultrasound contrast-enhanced fusion virtual navigation technology-guided microwave ablation (MWA) and standard MWA on the local tumor progression of hepatocellular ca... by Ping Zhang, Qiong Zhou, Zhiyong Zeng

“…Its advantages positioned it as a critical tool for precise ablation localization and treatment.…”
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Developing advanced datadriven framework to predict the bearing capacity of piles on rock by Kennedy C. Onyelowe, Shadi Hanandeh, Viroon Kamchoom, Ahmed M. Ebid, Fabián Danilo Reyes Silva, José Luis Allauca Palta, José Luis Llamuca Llamuca, Siva Avudaiappan

“…The developed framework provides engineers and practitioners with a powerful tool for improving pile design accuracy, reducing uncertainties, and optimizing construction practices. …”
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Synthesis, molecular docking, and ADME analysis of a series of 4-amino-3,5-dimethyl-1,2,4-triazole derivatives by L. I. Kucherenko, T. S. Brytanova, A. S. Hotsulia

“…To assess the similarity of the synthesized compounds to medicinal products, the SwissADME online tool was employed. The probability of impact on a number of enzyme systems (cyclooxygenase-2, lanosterol 14α-demethylase, anaplastic lymphoma kinase) was estimated using molecular docking. …”
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SSMM-DS: A semantic segmentation model for mangroves based on Deeplabv3+ with swin transformer by Zhenhua Wang, Jinlong Yang, Chuansheng Dong, Xi Zhang, Congqin Yi, Jiuhu Sun

“…The results demonstrate SSMM-DS's superiority in terms of mIoU, mPrecision, and parameter efficiency. SSMM-DS achieves a higher mIoU (95.11%) and mPrecision (97.79%) while using fewer parameters (17.48M) compared to others. …”
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Reducing locomotive maintenance costs with intelligent software by Valeria A. Butusova, Yuriy A. Davydov, Alexey S. Kushniruk, Denis Yu. Drogolov

“…The software analyzes TRS failure/breakdown data, considering reliability and cost-efficiency parameters, to recommend optimal inter-repair mileage standards. …”
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