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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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 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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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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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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Involvement of circRNAs in Proinflammatory Cytokines-Mediated β-Cell Dysfunction by Zhen Wang, Chao Deng, Ying Zheng

“…The involvement of the selected circRNAs in β-cell dysfunction was tested after their inhibition in MIN6 cells. MicroRNA target prediction software and multiple bioinformatic approaches were used to predict the targeting genes of circRNAs and analyze possible functions of the circRNAs. …”
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RSM-, ANN-, and GA-Based Process Optimization for Acid Centrifugation Treatment of Cane Molasses Toward Mitigating Calcium Oxide Fouling in Ethanol Plant Heat Exchanger by Lata Deso Abo, Sintayehu Mekuria Hailegiorgis, Mani Jayakumar, Sundramurthy Venkatesa Prabhu, Gadissa Tokuma Gindaba, Abas Siraj Hamda, B. S. Naveen Prasad

“…The polynomial quadratic equation was used to predict CaO removal efficiency, and the analysis of variance (ANOVA) test was utilized to assess the relevance of process factors. …”
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Comprehensive design of a 100-kilowatt solar power plant with bifacial technology in PVsyst for Arak, Iran by Mohammad Parhamfar, Alireza Zabihi

“…Furthermore, this paper explores incorporating climatic and environmental impacts into PVsyst software for accurate power plant performance prediction, providing a practical example for designing a 100-kilowatt plant.…”
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Development of a Finite Element Model for the HAZ Temperature Field in Longitudinal Welding of Pipeline Steel by Zhixing Wang, Chengjia Shang, Xuelin Wang

“…The morphology of the weld interface was calibrated to align closely with experimental observations. The model’s prediction of the Ac₁ location in actual welded joints exhibited a deviation of less than ±0.3 mm. …”
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Biodegradation of Congo Red Azo Dye Using Lysinibacillus Capsici Immobilized on Polyurethane foam Biocarrier in Moving Bed Bioreactor by Soroush Dayani Najafabadi, Maryam Hasani Zonoozi, Roya Aliaskarian

“…The second-order kinetic model (Grau's equation) provided a more accurate prediction of dye degradation in the MBBR system. This study confirms the successful degradation of Congo red azo dye using immobilized bacteria on Polyurethane foam (PUF) biocarriers in the MBBR bioreactor.…”
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Breaking New Ground in Monocular Depth Estimation with Dynamic Iterative Refinement and Scale Consistency by Akmalbek Abdusalomov, Sabina Umirzakova, Makhkamov Bakhtiyor Shukhratovich, Azamat Kakhorov, Young-Im Cho

“…Monocular depth estimation (MDE) is a critical task in computer vision with applications in autonomous driving, robotics, and augmented reality. However, predicting depth from a single image poses significant challenges, especially in dynamic scenes where moving objects introduce scale ambiguity and inaccuracies. …”
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Flow Patterns Transition Law of Oil-Water Two-Phase Flow under a Wide Range of Oil Phase Viscosity Condition by Wei Wang, Wei Cheng, Kai Li, Chen Lou, Jing Gong

“…Comparisons between predictions and quantities of available data in both low and high viscosity oil-water flow from literatures show a good agreement. …”
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Probabilistic seismic hazard mapping for Bangladesh using updated source models by Anika Samm-A, A. S. M. Maksud Kamal, Md. Shakhawat Hossain, Md. Zillur Rahman

“…Despite identifying several tectonic features, their detailed characterization (e.g. slip type, slip rate, movement direction) remains unclear, leading to a lack of well-defined seismic source models and Ground Motion Prediction Equations (GMPEs) specific to the region to assess seismic hazards. …”
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A Simple Cable Radiated Emission Evaluation Method for Table-Top Setups According to CISPR 11 and CISPR 32 by Xinglong Wu, Alessandro Grande, Xiaokang Liu, Flavia Grassi, Giordano Spadacini, Sergio A. Pignari, Fabio Vallarino, Luca Ghezzi

“…A systematic analysis of the accuracy and applicability of the proposed method is also provided, showing that the method presents a simple, reliable and easy-to-be-implemented prediction tool for early-stage pre-compliance radiation evaluation, according to CISPR 11/32 testing.…”
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The AI-knowledge management nexus for sustainable learning: A PLS-SEM study by Sashi Ranjan, V. P. Joshith, K. Kavitha, Shana Chittakath

“…The findings revealed that AI-driven knowledge creation, storage, discovery, and prediction significantly contribute to sustainable learning when implemented ethically. …”
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