Scale-Consistent and Temporally Ensembled Unsupervised Domain Adaptation for Object Detection by Lunfeng Guo, Yizhe Zhang, Jiayin Liu, Huajie Liu, Yunwang Li

“…Specifically, we introduce Cross-Scale Prediction Consistency (CSPC) to enforce consistent detection across multiple resolutions, improving detection robustness for objects of varying scales. …”
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Diffuse Scattering Directive Model Parameterization Method for Construction Materials at mmWave Frequencies by Ming-Hao Ren, Xi Liao, Jihua Zhou, Yang Wang, Yu Shao, Shasha Liao, Jie Zhang

“…The determination for diffuse scattering model parameters is of critical importance to improve the accuracy of prediction and analysis for millimeter-wave radio propagation. …”
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Peak Serum AST Is a Better Predictor of Acute Liver Graft Injury after Liver Transplantation When Adjusted for Donor/Recipient BSA Size Mismatch (ASTi) by Kyota Fukazawa, Seigo Nishida, Ernesto A. Pretto

“…In our study cohort, the prediction of PNF by the combination of ASTi and PT-INR had a higher sensitivity and specificity compared to current UNOS criteria. …”
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Comparative Analysis of Genetic Differences and Probiotic Characteristics of Human Gut-Dwelling Ligilactobacillus ruminis in Kashi, Xinjiang by YIN Tong, AN Meiling, LIANG Zhixuan, LU Yanzhuan, SUN Hailong, NI Yongqing

“…The 16 strains showed resistance to aminoglycosides but susceptibility to tetracyclines and chloramphenicol, which was not completely consistent with resistance gene prediction. All L. ruminis strains had high self-aggregation ability (> 50%) and good hydrophobicity (> 20%). …”
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Static assessment of brittle/ductile notched materials: an engineering approach based on the Theory of Critical Distances by R. Louks, H. Askes, L. Susmel

“…Each data set was assessed and the prediction error was calculated. The failure predictions were on average 30% conservative, whilst the non-conservative predictions account for less than 10% of the tested data and less than 2% of the non-conservative error results exceed -20%. …”
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Depth Semantic Segmentation of Tobacco Planting Areas from Unmanned Aerial Vehicle Remote Sensing Images in Plateau Mountains by Liang Huang, Xuequn Wu, Qiuzhi Peng, Xueqin Yu

“…The experimental results show that, using DeeplabV3+, PSPNet, SegNet, and U-Net to perform semantic segmentation on 71 scene prediction images, the mIoU obtained is 0.9436, 0.9118, 0.9392, and 0.9473, respectively, and the accuracy of semantic segmentation is high. …”
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Predictors of infliximab efficacy in patients with severe attack of ulcerative colitis by A. O. Golovenko, I. L. Khalif, O. V. Golovenko, V. V. Veselov

“…The investigated risk factors do not allow clear-cut prediction of relapse-free course of ulcerative colitis for one year of maintenance therapy by infliximab.…”
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A Hybrid Machine Learning Model for Efficient XML Parsing by Muhammad Ali, Minhaj Ahmad Khan, Raihan Ur Rasool

“…The newly developed framework performs analysis and prediction of different XML parsers using profiling, classification, performance evaluation, and finally generates code for efficient parsing. …”
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A robust, deep learning-based analysis of time-domain signals for NMR spectroscopy by Kyungdoe Han, Eunhee Kim, Kyoung-Seok Ryu, Donghan Lee

“…As a proof of concept, we present the resulting spectra, along with peak lists predicted by supplying only FID input to the deep learning algorithm. …”
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Integrated Network Pharmacology and Gut Microbiota Study on the Mechanism of Huangqin Decoction in Treatment Diabetic Enteritis by Xiaomin Xu, Cheng Fang, Fang Lu, Shumin Liu

“…Using picurst2 for functional prediction and metabolic pathway statistics, seven metabolic pathways were obtained consistent with gut microbiota sequencing, and the NOD-like receptor signaling pathway may be its potential molecular mechanism. …”
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Smart Filter Performance Monitoring System by Chenxing Pei, Weiqi Chen, Qisheng Ou, David Y. H. Pui

“…Moreover, filter monitoring data can establish a database for researchers to validate the filter models or train a machine learning model for filter performance prediction. Filter or air-cleaning device manufacturers can improve their products or recommend suitable products to their customers based on big data contributed by this filter monitoring system.…”
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Reconstruction of the Time-Dependent Volatility Function Using the Black–Scholes Model by Yuzi Jin, Jian Wang, Sangkwon Kim, Youngjin Heo, Changwoo Yoo, Youngrock Kim, Junseok Kim, Darae Jeong

“…Then, in the next step, our algorithm follows the prediction step and correction step at half-backward time level. …”
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Twitter Sentiment Analysis Towards Candidates of the 2024 Indonesian Presidential Election by Rhoma Cahyanti, Desiana Nurul Maftuhah, Aris Budi Santoso, Indra Budi

“…A few studies related to the Indonesian election have tried to predict candidates who will run for the presidential election, but there has been no research that examines public sentiment on social media towards each of the potential candidates. …”
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Study on Deformation and Stability of Rock-Like Materials Retaining Structure during Collaborative Construction of Super-Adjacent Underground Project by Hongfu Qu, Lihua Wang, Chunlei Feng, Hualao Wang, Xuan Zhang

“…Besides, the applicability of the calculation method was verified by combining it with the actual engineering and related prediction theories, which further proves that the research results have certain theoretical value and engineering significance, and can provide a reference for the rock-like material retaining structures design and stability analysis of similar projects.…”
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Rehabilitation Following ACL Repair with Internal Brace Ligament Augmentation in Female Gymnast: A Resident’s Case Report by Colten Haack, Giorgio Zeppieri, Micheal W Moser

“…Patient reported outcomes including the International Knee Documentation Committee (IKDC), the Anterior Cruciate Ligament Return to Sport After Injury (ACL-RSI) and the Optimal Screening for Prediction of Referral and Outcome Yellow Flag (OSPRO-YF) were assessed in conjunction with isokinetic strength and hop performance testing to determine return to sport readiness…”
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Convolutional Neural Network and LSTM for Seat Belt Detection in Vehicles using YOLO3 by Erika Udayanti, Etika Kartikadarma, Fahri Firdausillah

“…The CNN algorithm plays a role in the feature extraction process from input image data, while the LSTM algorithm plays a role in the prediction process. Additionally, the performance evaluation of the CNN+LSTM algorithm will be measured using the accuracy value to measure the performance of the training process and testing process. …”
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Non-Fickian Solute Transport in a Single Fracture of Marble Parallel Plate by Xiaosan Yan, Jiazhong Qian, Lei Ma, Mu Wang, Aofeng Hu

“…Accurate prediction of solute transport processes in a fracture aquifer is an important task not only for proper management of the groundwater but also for pollution control. …”
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Recent Web Platforms for Multi-Omics Integration Unlocking Biological Complexity by Eugenia Papadaki, Ioannis Kakkos, Panagiotis Vlamos, Ourania Petropoulou, Stavros T. Miloulis, Stergios Palamas, Aristidis G. Vrahatis

“…Special attention is given to their role in clinical decision-making, disease prediction, and personalized medicine, with a focus on their interoperability, scalability, and usability. …”
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Statistical Evaluation of Non-Linear Parameter Estimation Procedures for Adsorption Equilibrium Models by Guilherme Ozorio Cassol, Roger Gallon, Marcio Schwaab, Elisa Barbosa-Coutinho, João B. Severo Júnior, José Carlos Pinto

“…Several models have been proposed for prediction of adsorption equilibrium and all models depend on parameters whose values must be estimated from available experimental data. …”
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Preprocessing LOFARgram through U-Net++ neural network by Dan Peng, Xichen Xu, Wenhua Song, Dazhi Gao

“…Results indicate that predictions based on U-Net++ enhanced LOFARgrams are more accurate. …”
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