Characterizing Middle Grade Students’ Integrated Alternative Science Knowledge about the Effects of Climate Change by Sarah Jennings Fick, Nancy Butler Songer

“…Students completed a pre-instruction task by making predictions, justifying their predictions about the geographic range of species’ habitats, and adjusting that prediction based on a climate change scenario.These findings revealed four areas of AISK: 1) Climate Data Interpretation and Analysis, 2) Identifying Climate Patterns, 3) Identifying Causes of Climate Patterns, and 4) Justifying Climate Claims. …”
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Dynamics Modeling and Parameters Identification Research on Rope Driven Biped Robot Legs by Zhu Zhenbiao, Tang Jun, Liang Zhiyuan, Li Qingdu

“…This study uses the M02 rope driven robot to perform dynamic parameter identification experiments and compares the prediction results obtained from the method mentioned with the actual results. …”
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New Evaluation Technique for WTG Design Wind Speed Using a CFD-Model-Based Unsteady Flow Simulation with Wind Direction Changes by Takanori Uchida, Takashi Maruyama, Yuji Ohya

“…The computational domain of RIAM-COMPACT can extend from several meters to several kilometers, and RIAM-COMPACT can predict airflow and gas diffusion over complex terrain with high accuracy. …”
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Enhancing Software Requirements Classification with Semisupervised GAN-BERT Technique by Gregorius Airlangga

“…However, our analysis has identified substantial gaps in these studies, including (a) a limited dataset volume, (b) the absence of an evaluation study for cross-domain test sets, (c) the problem of real-time prediction scenarios where a vast amount of unlabeled data floods the system each second, and (d) a dearth of comparative studies scrutinizing diverse software requirements datasets and multiple machine learning models, with particular emphasis on in-domain and cross-domain testing. …”
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Modeling of the flow time series for a short-term hydrological forecast by Tomasz Jarosław Siuta

“…Results and conclusions: Among the all tested model types, the most accurate prediction of the instantaneous value of the flow rate in the outlet cross section of the Vistula catchment was obtained using the RNN model. …”
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Investigating the contributors to hit-and-run crashes using gradient boosting decision trees. by Baorui Han, Haibo Huang, Gen Li, Chenming Jiang, Zhen Yang, Zhenjun Zhu

“…A classification prediction model is established based on a nonlinear method-Gradient Boosting Decision Tree (GBDT) to investigate the factors contributing to a perpetrator's escape behavior in hit-and-run crashes. …”
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Influence of Turbulent Scalar Mixing Physics on Premixed Flame Propagation by H. Kolla, N. Swaminathan

“…Furthermore, neglecting the direct effect results in a poor prediction of turbulent flame speed for all values of 𝑢/𝑠𝑜𝐿, and both effects are important for practically relevant values of this velocity ratio.…”
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Emotion Recognition Using PPG Signals of Smartwatch on Purpose of Threat Detection by Gyuwon Hwang, Sohee Yoo, Jaehyun Yoo

“…Also, the proposed filtering with GMM improves prediction accuracy by 23% compared to the method that does not incorporate the filtering.…”
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Bond Strength between Hybrid Fiber-Reinforced Lightweight Aggregate Concrete Substrate and Self-Compacting Concrete as Topping Layer by Slamet Widodo

“…Proposed formulation for bond strength prediction between HyFRLWAC as substrate and SCC as topping layer is also presented in this paper.…”
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A Transient Dynamic Model of Brake Corner and Subsystems for Brake Creep Groan Analysis by Dejian Meng, Lijun Zhang, Jie Xu, Zhuoping Yu

“…It was demonstrated that the new model is effective for the prediction and analysis of brake creep groan, and it has higher accuracy compared to the previous model without the subsystems. …”
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Graph Knowledge Structure for Attentional Knowledge Tracing With Self-Supervised Learning by Zhaohui Liu, Sainan Liu, Weifeng Gu

“…In addition, we incorporate the improved representation algorithm into the loss function to handle data sparsity, thereby improving prediction accuracy. Experiments on three real-world datasets show that our model outperforms baseline models.…”
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Stochastic Computer Simulation of Cermet Coatings Formation by Oleg P. Solonenko, Vladimir I. Jordan, Vitaly A. Blednov

“…The approach based on the theoretical fundamentals developed which could be used for rapid and sufficiently accurate prediction of thickness and diameter of cermet splats as well as temperature at interface “flattening quasi-liquid cermet particle-substrate” depending on the key physical parameters (KPPs): temperature, velocity and size of particle, substrate temperature, and concentration of finely dispersed solid inclusions uniformly distributed in liquid metal binder. …”
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Forecast of China’s Carbon Emissions Based on ARIMA Method by Longqi Ning, Lijun Pei, Feng Li

“…Then, model identification, parameter estimation, and model test are carried out to establish the model of ARIMA(p, d, q) for the prediction of the carbon emissions of the four regions, respectively. …”
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miR-212 Promotes Cardiomyocyte Hypertrophy through Regulating Transcription Factor 7 Like 2 by Jinxia Yuan, Guoliang Yuan

“…Then, the mechanism of miR-212 regulating CH was verified by website prediction, luciferase reporter gene assay, qRT-PCR, and western blotting assay. …”
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The Experimental Studies on Behavior of Ultrahigh-Performance Concrete Confined by Hybrid Fiber-Reinforced Polymer Tubes by Zong-cai Deng, Jiu-ling Qu

“…The stress-strain responses predicted by the existing models are all below the experimental curves; therefore, a new three-stage constitutive model was proposed, which relatively fits the test curves better than the existing models.…”
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Research on Solving the Excavation Pose of Shield Machine based on Neural Network-Newton Hybrid Algorithm by Qiang Zhang, Dongchen Qin, Qiang Zhu, Jiangyi Chen

“…According to the established equivalent mechanism kinematics model， a neural network-Newton hybrid algorithm is used to solve the shield tunneling pose， and the solution domain search function of the neural network is used to predict the initial value and substitute the prediction result into the Newton iteration method for calculation and solution. …”
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2D+t Wavelet Domain Video Watermarking by Deepayan Bhowmik, Charith Abhayaratne

“…The MCTF is improved by modifying the update step to follow the motion trajectory in the hierarchical temporal decomposition by using direct motion vector fields in the update step and implied motion vectors in the prediction step. The results show smaller embedding distortion in terms of both peak signal to noise ratio and flickering metrics compared to frame-by-frame video watermarking while the robustness against scalable compression is improved by using 2D + t over the conventional t + 2D domain video watermarking, particularly for blind watermarking schemes where the motion is estimated from the watermarked video.…”
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Screening of potential GCMS derived antimigraine compound from the leaves of Abrus precatorius Linn to target “calcitonin gene related peptide” receptor using in silico analysis... by Parthasarathy V., Ajay Kumar T.V

“…The molecular docking study and ADME/T properties prediction were performed with the compounds using C-DOCKER module. …”
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Monitoring Changes in Clustering Solutions: A Review of Models and Applications by Muhammad Atif, Muhammad Shafiq, Muhammad Farooq, Gohar Ayub, Friedrich Leisch, Muhammad Ilyas

“…Monitoring the changes in clustering solutions in streaming datasets plays a vital role in policy-making and future prediction. Of course, it has a wide range of applications that cannot be covered in a single study, but some of the most common are highlighted in this article.…”
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Study on Performance of Mesoscopic Impactor Filters for Aerosol Removal by Wei Zhang, Fenglei Niu, Shiji Wang, Haonan Wang, Zhangpeng Guo

“…Based on the response surface methodology (RSM), the prediction model of collection efficiency and pressure drop is obtained, which will provide a reference for the design and manufacture of the filter in the future.…”
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