Software Defect Prediction Using Deep Q-Learning Network-Based Feature Extraction by Qinhe Zhang, Jiachen Zhang, Tie Feng, Jialang Xue, Xinxin Zhu, Ningyang Zhu, Zhiheng Li

“…Moreover, without proper feature reduction, the interpretability and generalization ability of machine learning models in SDP may be compromised, hindering their practical utility in diverse software development environments. …”
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FUSE-Net: Multi-Scale CNN for NIR Band Prediction from RGB Using GNDVI-Guided Green Channel Enhancement by Gwanghyeong Lee, Deepak Ghimire, Donghoon Kim, Sewoon Cho, Byoungjun Kim, Sunghwan Jeong

“…Through ablation studies and band combination analysis, we assessed the model’s ability to recover spectral information. The experimental results showed that the G-RGB input consistently outperformed unmodified RGB across multiple metrics, including mean squared error (MSE), peak signal-to-noise ratio (PSNR), spectral correlation coefficient (SCC), and structural similarity (SSIM), with the best performance observed when paired with FUSE-Net. …”
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Tribology of enzymatically degraded cartilage mimicking early osteoarthritis by Ke Ren, Miguel Alejandro Reina Mahecha, Maike Hübner, Zhiwei Cui, Hans J. Kaper, Hugo C. van der Veen, Prashant K. Sharma

“…Collagen type II provides it structural stability, and proteoglycans absorb water to keep the cartilage in a swollen condition, providing it the ability to creep and provide weeping lubrication. …”
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Sustainable bioremediation of cassava waste effluent using Nannochloropsis salina TSD06: an eco-technological approach by Silambarasan Tamil Selvan

“…The Nannochloropsis salina TSD06 microalga showed high removal ability and provided an effective, eco-friendly method of wastewater treatment and biofuel production.…”
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The Impact of Strategic Quality Orientation and Absorptive Capacity on Sustainable Business Growth: The Mediating Role of Innovation by Fatemeh Ashourijirkol, Mehrdad Hosseini Shakib, Abbas khamseh

“…Innovation is also recognized as the most crucial strategic option that can substantially increase the organization's ability to meet customers' changing needs, change technology, and maintain competitive performance. …”
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Effect of Surface Roughness on the Friction Moment in a Lubricated Deep Groove Ball Bearing by Harsh Kumar, Vaibhav Gupta, Velamala Bharath, Mayank Tiwari, Surajit Kumar Paul, Lokesh Agrawal, Arendra Pal Singh, Ayush Jain

“…This model employs a mixed elastohydrodynamic lubrication approach to determine the friction coefficient at the contact interfaces. This study explores how surface roughness and speed affect both ball–race and ball–cage friction torque, offering a comprehensive analysis of their influence on overall frictional torque. …”
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Research on the Bending Behavior of Concrete Beams Reinforced with CFRP Sheets Bonded Using BMSC by Zhenzhong Yang, Lili Jiang, Zhenguo Li, Chenggen Yang

“…By introducing the influence coefficient of BMSC on the flexural bearing capacity (FBC) of reinforced beams, based on the test results, the formula for calculating the FBC of concrete beams, which are reinforced with CFRP sheets bonded by BMSC, was developed. …”
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A Novel Temperature Reconstruction Method for Acoustic Pyrometry Under Strong Temperature Gradients and Limited Measurement Points by Jingkao Tan, Lehang Chen, Na Li, Qulan Zhou, Zhongquan Gao, Jie Zhou

“…This paper first proposed the coefficient of heating effect (<i>C</i>_HE) to quantitatively assess the intrinsic characteristics of the reconstructed temperature field. …”
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Simultaneously improved dipolar interaction at inorganic-inorganic and organic-inorganic interfaces for multimode energy harvesting from heterostructured CoFe2O4@BCZT loaded P(VDF-... by Abhishek Sasmal, Payel Maiti, J. Arout Chelvane, A. Arockiarajan

“…The magnetostriction of CF, in this case, stimulates both the P(VDF-TrFE) and highly piezoelectric BCZT dipoles at inorganic-organic and inorganic-inorganic interfaces, respectively, thereby achieving ME coupling coefficient as high as 96 mV·cm−1·Oe−1. The optimized device shows excellent DC and AC magnetic field sensitivity and associated magnetic field energy harvesting ability. …”
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Forecasting malaria cases using climate variability in Sierra Leone by Saidu Wurie Jalloh, Boniface Malenje, Herbert Imboga, Mary H. Hodges

“…Conclusions These findings underscore the ANN’s ability to capture non-linear dynamics, even without explicit climate inputs. …”
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Exploring the differences in atmospheric mesoscale kinetic energy spectra between AI based and physics based models by Zongheng Li, Jun Peng, Lifeng Zhang, Hanyan Wu, Wei Zhang, Juan Zhu

“…Abstract It is an urgent need to understand the ability of current artificial intelligence (AI) models in simulating atmospheric mesoscale aspects. …”
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Assessing small airway disease in GLI versus NHANES III based spirometry using area under the expiratory flow-volume curve by James K Stoller, Octavian C Ioachimescu

“…Using GLI versus NHANES III LLNs, and diagnosing SAD by the eight most common equation sets for forcedexpiratory flow at 50% of vital capacity lower limits of normal (FEF50 LLN), we assessed the degree of diagnostic concordance and the ability of AEX to differentiate between various definition-dependent patterns.Results Concordance rates between NHANES III and GLI-based classifications were 93.7%, 78.6%, 86.8%, 88.0%, 93.8% and 98.8% in those without, with mild, moderate, moderately severe, severe and very severe obstruction, respectively (agreement coefficient 0.81 (0.80–0.82)). …”
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New winter common wheat variety ‘Saban’ for the middle Volga Region by I. D. Fadeeva, F. F. Kurmakaev, R. Kh. Idiatova

“…The purpose of the current work was to develop a new variety ‘Saban’ and characterize its ability to produce high yields and grain quality in the northern regions of the Middle Volga region. …”
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Polypyrrole-based bovine serum albumin imprinted electrochemical sensor for clinical application by Mona Ebadi, Saiful Amri Mazlan, Mohd Aidy Faizal Johari, Muhammad Rahimi Yusop

“…A strong linear response was observed, with a correlation coefficient (R²) exceeding 0.99. The sensor exhibited excellent reproducibility and repeatability, with relative standard deviations (%RSD n = 3) <1 %. …”
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Predicting illness anxiety symptoms based on worry, alexithymia, intolerance of uncertainty and cognitive emotion regulation strategies by Vida Oshrieh, Mohammad Ali Besharat, Masoud Gholamali Lavasani

“…The data were analyzed by Pearson correlation coefficient and stepwise regression methods by SPSS27. …”
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Assessing Discrimination and Acceptance for Lightness and Chroma During Shade Selection: A Comparison of Dental and Non-Dental Professionals by Haruna Konishi, Yuichi Ishida, Takaharu Goto, Tetsuo Ichikawa

“…Dental technicians exhibited a higher discrimination ability and stricter acceptance of lightness and chroma, regardless of age. …”
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Increased medial olivocochlear reflex strength in normal-hearing, noise-exposed humans. by Ishan Bhatt

“…., routine noise exposure) with the reduced cochlear output and impaired speech processing ability in subjects with clinically normal hearing sensitivity. …”
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Predictive equations using regression analysis of pulmonary function for healthy children in Northeast China. by Ya-Nan Ma, Jing Wang, Guang-Hui Dong, Miao-Miao Liu, Da Wang, Yu-Qin Liu, Yang Zhao, Wan-Hui Ren, Yungling Leo Lee, Ya-Dong Zhao, Qin-Cheng He

“…Model goodness of fit was examined using the coefficient of determination or the R(2) and adjusted R(2). …”
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Analysis and Modeling of Particle Velocities in Premixed Abrasive Water Jets by Weiqin Zuo, Cheng Huang, Yanwei Liu, Hongkai Han, Fuchang Hao, Fajun Zhao, Fei Huang

“…The premixed abrasive jet possesses a strong strike ability and is widely used in oil and gas exploitation, machining, rust removal, and other fields. …”
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Underwater acoustic signal denoising method based on DBO–VMD and singular value decomposition by A. Weiyi Chen, B. Shizhe Wang, C. Zongji Li, D. Li Dong

“…Second, the adaptive threshold is calculated by comprehensively considering the correlation coefficient and the multivariate permutation entropy, and it is used as the basis for selecting effective modal components and reconstructing the signal. …”
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