Plasticity and Awareness of Bodily Distortion by Mariella Pazzaglia, Marta Zantedeschi

“…Despite multiple sources, the immediate prediction, construction, and evaluation of one’s body are distorted. …”
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DTA measurements in the ternary Ag-Au-Ga system by Jendrzejczyk-Handzlik D., Handzlik P.

“…Finally, the experimental results were compared with the isopleths obtained from the prediction and calculation of the phase diagram which were done by using CALPHAD method. …”
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Modeling of Temperature Effect on Modal Frequency of Concrete Beam Based on Field Monitoring Data by Wenchen Shan, Xianqiang Wang, Yubo Jiao

“…Results indicate that the SVR exhibits a better reproduction and prediction capability than BPNN and MLR models for predicting the modal frequencies with respect to nonuniformly distributed temperatures. …”
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Rainfall-Altitude Relationship in Saudi Arabia by Khalid Al-Ahmadi, Sharaf Al-Ahmadi

“…The authors concluded that the use of a nonstationary local model such as GWR enabled them to provide a deeper explanation of relations between rainfall and the altitude of the terrain than a global model such as OLS in terms of spatial estimation and prediction.…”
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Investigating the Pavement Vibration Response for Roadway Service Condition Evaluation by Zhoujing Ye, Yang Lu, Linbing Wang

“…Dynamic response of pavement provides service condition information and helps with damage prediction, while limited research is available with the simulation of pavement vibration response for evaluating roadway service condition. …”
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Stochastic process-based drought monitoring and assessment system: A temporal switched weights approach for accurate and precise drought determination. by Muhammad Asif Khan, Sergey Barykin, Dmitry Karpov, Nikita Lukashevich, Akram Ochilov, Rizwan Munir

“…Effective drought mitigation policies necessitate the monitoring and prediction of drought. To determine the severity and impacts of droughts accurately and precisely, probabilistic models have been developed. …”
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Minimizing Zapping Delay Using Adaptive Channel Switching with Personalized Electronic Program Guide by Timothy T. Adeliyi, Oludayo O. Olugbara, Steven Parbanath

“…Many of the literature approaches such as channel prediction based on behavior analysis have shown flaws in resolving zapping delay. …”
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Research on credit risk of listed companies: a hybrid model based on TCN and DilateFormer by Chuanhe Shen, Junzhe Wu

“…The empirical study demonstrates that the model exhibits superior prediction accuracy compared to traditional machine learning assessment models, thereby offering a novel and efficacious tool for corporate credit risk assessment.…”
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Clinical Presentation of Preeclampsia and the Diagnostic Value of Proteins and Their Methylation Products as Biomarkers in Pregnant Women with Preeclampsia and Their Newborns by Maria Portelli, Byron Baron

“…So far, a number of biomarkers have been proposed for predicting PE, based on pathophysiological observations, but these have mostly proven to be unreliable and inconsistent between different studies. …”
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Influence of copper content on microstructure development of AlSi9Cu3 alloy by Brodarac Zovko Z., Dolić N., Unkić F.

“…Literature review enables prediction of solidification sequence. Modelling of equilibrium phase diagram for examined chemical composition has been performed, which enables determination of equilibrium solidification sequence. …”
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Epitope mapping of recombinant Salmonella enterica serotype Heidelberg flagellar hook-associated protein by in silico and in vivo approaches by Hung-Yueh Yeh

“…The aim of the present study was to compare the epitope identification in the Salmonella enterica serotype Heidelberg FlgK protein by in silico prediction and in vivo experiment with mass spectrometry in association with immunoprecipitation proteomics. …”
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Remaining Useful Life Estimation of Fan Slewing Bearings in Nonlinear Wiener Process with Random Covariate Effect by Mingjun Liu, Zengshou Dong, Hui Shi, Yujia Zheng, Min Zhang

“…A nonlinear Wiener degradation model considering the influence of random covariate is established for the prediction of the RUL of fan slewing bearings in this study. …”
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Wind Identification of Spinning Projectile Using Improved Multiobjective Differential Evolution Algorithm by Dingye Zhang, Jun Guan, Wenjun Yi, Youran Xia, Kangjian Wang

“…A wind velocity identification technique of spinning projectile based on the multiobjective chaotic adaptive differential evolution algorithm is suggested to increase the estimation accuracy of wind velocity and ballistic prediction accuracy during projectile flight. The variation law of projectile aerodynamic characteristics under no wind situation is calculated using the 4D kinematic model of spinning projectile. …”
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Dynamic Model of Spur Gear Pair with Modulation Internal Excitation by Zhong Wang, Lei Zhang, Yuan-Qing Luo, Chang-Zheng Chen

“…In this study, a nonlinear time-varying dynamic model of spur gear pair was established to predict the modulation sidebands caused by the AM-FM modulation internal excitation. …”
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Enabling Super-Resolution for Automotive Imaging Radars in the Presence of Antenna Calibration Errors by Ionela-Cristina Voicu, Filip Rosu

“…In this paper we address the issues faced when applying such algorithms in a radar application and offer a solution based on linear prediction and spatial smoothing to enhance the performance of such algorithms.…”
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History in the making: Voicing alternation as stop lenition via an automatic analysis of large-scale corpora in French and Spanish by Yaru Wu, Ioana Chitoran, Ioana Vasilescu, Martine Adda-Decker, Lori Lamel

“…The voicing nature of the stops (whether the stop is phonologically voiceless /ptk/ or voiced /bdg/) turns out to be the factor that contributes the most to the prediction of voicing alternations among all investigated factors for Spanish, according to the random forest model. …”
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A Modified Strain‐Wedge Model for Small Strain Rigid Piles in Sand by Yisheng Yin, Dongyuan Wang, Kai Cui

“…On the contrary, the prediction accuracy of numerical analysis using the UBC3D‐PLM constitutive model increases.…”
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A Quality Control Method Based on an Improved Kernel Regression Algorithm for Surface Air Temperature Observations by Xiaoling Ye, Yajin Kan, Xiong Xiong, Yingchao Zhang, Xin Chen

“…Furthermore, the IKR method achieves better predictions and fitting in the single-station and multistation regression experiments in Jiangsu and in the national multistation regression prediction experiment.…”
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KEY ASPECTS OF CORPORATE FINANCIAL SOUNDNESS by Y. D. Sotneva

“…With increasing role of transnational corporation (TNC) questions of corporate financial soundness analysis and prediction methods are gaining momentum. This article highlights the key aspects of financial soundness of corporations. …”
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Longtime behavior of one-dimensional biofilm models with shear dependent detachment rates by Fazal Abbas, Rangarajan Sudarsan, Hermann J. Eberl

“…We find that the particular choice of a detachment rate function can affect the model prediction of persistence or washout of the biofilm. …”
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