Machine Learning based estimation of Chlorophyll and Flavonoid content in Bitter Leaf using Color and GLCM Texture Features by Retno Damayanti, Yusuf Hendrawan, Sandra Sandra

“… The prediction of plant biochemical content is critical for applications in both agriculture and pharmacology. …”
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Integrated Numerical and Taguchi‐Based Optimisation of Forging Parameters for DIN 42CrMo4 Engine Connecting Rod Steel by Japheth Obiko, Brendon Mxolisi, Nicholus Malatji

“…Case 2: temperature (1200°C), die velocity (115 mm/s), die temperature (215°C) and the friction coefficient (0.2) for multiple response prediction. The ANOVA results indicate that the most significant factors were deformation temperature (influencing maximum stress and tensile stress) and friction coefficient (influencing maximum strain and damage). …”
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Failure Mechanism and Structural Analysis of Chain Slings with Non-Standard Connections by Yujun Choi, Jaesun Lee

“…Chains exhibiting over 10% diameter reduction or increased pitch exceeded discard criteria and showed significant strength loss. …”
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Explaining the contrast responses of evergreen needle-leaved forest and grassland carbon fluxes during the growing season droughts over the North Temperate Zone by Xiaoyuan Li, Shanlei Sun, Yongjian Ren, Zaoying Bi, Yi Liu, Yibo Liu, Botao Zhou, Haishan Chen

“…This understanding is essential for improving predictions of ecosystem responses to water stress and providing critical information to mitigate the effects of drought. …”
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A Novel Method for Aging Life Evaluation of O-Rings Based on the Sealing Performance Degradation Model and the Artificial Neural Network Model by Xiaojia Wang, Yu Huang, Jianning Zhang, Zihui Wang, Weiping Hu, Chao Song

“…Furthermore, an aging life evaluation method for O-rings based on the ANN model is proposed to predict the aging life of O-rings under different temperatures and compression sets. …”
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Dysregulation of MicroRNA-455-5p Contributes to Pulpitis Pathogenesis Through Modulating MYD88 by Qidi Hu, Yihan Fu, Hao Xu

“…ELISA assay was used for the inflammatory indicators. Oxidative stress reaction was also examined. Bioinformatic analysis was used for miR-455-5p target prediction. …”
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Review on analysis of soil moisture changes caused by coal mining subsidence in arid and semi-arid areas and their potential effects on plant physiology and ecology by ZHANG Xuyang, LIU Ying, LONG Linli, SU Yongdong, CHEN Dongxing, CHEN Xiaoyang

“…Coal mining subsidence causes cracks on the ground, coupled with the reduction of groundwater level, which further reduces the already low soil moisture content in arid and semi-arid areas. …”
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Aggressive strategies of the COVID-19 pandemic on the apparel industry of Sri Lanka using structural equation modeling. by Wasantha Rajapakshe, D S M Karunaratna, W H G Ariyaratne, H A Lakshani Madushika, G S K Perera, P Shamila

“…The findings proved that managing workplace stress, particularly improving stressful working environments and aggressive cost reduction strategies, can enhance employee satisfaction. …”
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Study on Vibration Effects and Optimal Delay Time for Tunnel Cut-Blasting Beneath Existing Railways by Ruifeng Huang, Wenqing Li, Yongxiang Zheng, Zhong Li

“…Poor-quality surrounding rock enhances the attenuation of seismic wave velocity and peak stress in the surrounding rock. In the Zhongliangshan Tunnel, a tunnel cut-blasting construction at a depth of 42 m, the best vibration reduction plan of Class III is 3 ms millisecond blasting, in which the surface points achieve separation vibration reduction. …”
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Triaxial compression test of shear strength parameters of rock-fill materials considering scale effect by Xia Li, Xinggang Shen, Jun Du, Yunfei Sun, Yunfei Sun, Yunfei Sun, Haoran Jin, Haoran Jin, Haoran Jin, Jian Gong, Jian Gong, Jian Gong, Mingjie Jiang, Mingjie Jiang, Mingjie Jiang

“…The results show that increasing dmax enhances both cohesion and internal friction due to stronger interlocking between particles, while a higher gradation area (S), reflecting a broader particle size distribution, reduces these parameters as uneven stress distribution weakens the soil structure. Based on these observations, we propose a shear strength prediction model that incorporates the scale effect, which has been validated using independent datasets from a range of coarse-grained soils.…”
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Accurate Virtual Trial Assembly Method of Prefabricated Steel Components Using Terrestrial Laser Scanning by Yin Zhou, Daguang Han, Kaixin Hu, Guocheng Qin, Zhongfu Xiang, Chunli Ying, Lidu Zhao, Xingyi Hu

“…Experimental results show that the geometric prediction deviation of VTA is less than 1/1800 of the experimental bridge span, and the mean stress predicted via VTA is 90% of the measured mean stress. …”
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Measuring teacher beliefs about factors that promote Classroom Social and Emotional Learning (CSEL) by Mayank Sharma, Anya Chakraborty, Nandini Chatterjee Singh

“…The scale demonstrated good psychometric properties: strong internal consistency, predictive validity (with mental well-being), convergent validity (with emotional intelligence), discriminant validity (with perceived stress) and measurement invariance across males and females. …”
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In Silico Analysis of Arabidopsis thaliana Peroxisomal 6-Phosphogluconate Dehydrogenase by Álvaro D. Fernández-Fernández, Francisco J. Corpas

“…NADPH, whose regeneration is critical for reductive biosynthesis and detoxification pathways, is an essential component in cell redox homeostasis. …”
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Quantifying fracture roughness effects on coal mine spontaneous combustion through a coupled thermos hydro mechanical model by Guoju Lu, Guofei Zhao, Liya Yu, Meihong Zhang, Xiaoli Wang

“…To address this issue, we present a novel predictive model for engineering-scale combustion forecasting, which incorporates an interdisciplinary fracture roughness parameter and integrates fracture roughness, heat conduction, chemical reactions, gas pressure, coal-rock stress and deformation, and adsorption–desorption mechanisms to achieve a comprehensive multi-factor coupling in coal seam gas migration. …”
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Deep Neural Network-Based Temperature Mapping Technique for Heat Sink on Electronic Devices Using Local Thermocouple Sensors by Jaehee Shin, Hyun Ahn, Gwang-Hyeon Mun, Jeongmin Lee, Pouria Zaghari, Young-Min Park, Jinhyoung Park, Jong Eun Ryu, Dong-Won Jang

“…Results showed that the temperature distribution could be predicted with high accuracy (over 0.95), and the maximum error rate for stress and strain predictions was 7% in the worst case. …”
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Study on Rock Burst Early Warning in the Working Face of Deep Coal Mines Based on the Law of Gas Emission by Qinghua Zhang, Shudong He

“…This study is aimed at predicting rock burst disasters in high gas mines. First, the distribution law and correlation of gas and stress in the F15-17-11111 working face of Pingdingshan No. 13 Mine were analyzed based on the coupling relationship between gas emission and stress in the working face. …”
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Ivabradine potential for correcting myocardial electrical instability predictors in coronary heart disease by I. P. Tatarchenko, N. B. Pozdnyakova, M. V. Вiryuchenko, O. I. Morozova, A. G. Mordovina, S. A. Sekerko

“…Dose-response reduction in heart rate was linked to improved diastolic myocardial function.Conclusion. …”
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Rapeseed Green Manure Coupled with Biochar and Vermicompost Enhances Soil Aggregates and Fungal Communities in Gleyed Paddy Fields by Zhenhao Zhu, Shihong Gao, Yuhao Zhang, Guohan Si, Xiangyu Xu, Chenglin Peng, Shujun Zhao, Wei Liu, Qiang Zhu, Mingjian Geng

“…The GMB strategy mitigates reductive stress, enhances nutrient availability, and activates microbial functionality. …”
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Case Study on the Stability Control of Broken Surrounding Rock in Roadway Excavation on the Edge of a Collapsed Stope Area by Yabin Wu, Jianhua Hu, Chengyu Xie, Dongping Shi

“…Predicting and controlling the collapse of surrounding rock (especially broken rock masses) in underground chambers is an important topic in mining and geotechnical engineering. …”
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A Characterization of the Powder Yield Behaviors During a Hot Isostatic Pressing Process by Guozheng Quan, Wenjing Ran, Weiwei Dai, Qian Jiang, Yanze Yu, Yu Zhang

“…The constitutive model significantly influences the accuracy of predicting the complex rheological behavior of hot isostatically pressed powders. …”
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