Custom exome panel revealed new mutations in MAPK14 and novel mutation in RUNX2 gene in patients with PCOS by Yunus Arikan, Taylan Onat

“…We compared the minor allele frequency (MAF) values of different variants with our results and calculated deleterious scores of newly found variants using various web-based prediction tools and ACMG pathogenicity criteria. We found a novel missense mutation (p.Thr355Ile) in the RUNX2 gene in one patient and heterozygous mutations in the MAPK14 gene (c.306_5delT and c.*8G > T) in another patient with PCOS. …”
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Ecological Vulnerability Assessment Integrating the Spatial Analysis Technology with Algorithms: A Case of the Wood-Grass Ecotone of Northeast China by Zhi Qiao, Xi Yang, Jun Liu, Xinliang Xu

“…It is extremely significative for the prediction of the regions that will easily deteriorate. …”
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Simulation of rainfall temporal distribution pattern using WRF Model (case study of Parsian dam basin) by Elaheh Ghasemi Karakani, Ebrahim Fattahi, Loabat Salehi Pak, Hooshang Ghaemi

“…The result of WRF numerical weather prediction model for these great storms compared with data loggers. …”
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Movement and Protection for Random Shape Rockfalls in Steeply Dipping Coal Seams by Ming Liu, Jie Chen

“…The findings presented in this research contribute to rockfall prediction and protection against rockfall hazards.…”
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An Experimental Study on Settlement due to the Mutual Embedding of Miscellaneous Fill and Soft Soil by Fuhai Zhang, Lei Zhang, Tianbao Zhou, Lijun Duan, Chong Shi

“…However, this calculation method did not involve settlement deformation by embedding miscellaneous fill particles into soft soils under external loads, thus inducing significant settlement prediction error. To solve this problem, a laboratory testing device was developed to study the mutual embedding for specimens with different miscellaneous fill particle sizes, external loads, and particle materials. …”
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Zoning the villages at flood risk in the Varkesh-Chai drainage basin by GIS and HEC - RAS software and HEC- GEO - RAS extension by Asdollah hejazi, fatemeh khodaie geshlag, leila khodaie geshlag

“…Field studies show that, villages’development has been without knowing the rules governing hydraulic behavior, prediction of river hydrological behavior, and no respecting the main bed of river, it has been conserved to the agricultural land or garden. …”
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Low Carbon Economy Assessment in China Using the Super-SBM Model by Yanhong Ding, Yu Han

“…In this review, the output super SBM model is used to study the development of China's low-carbon industry, and the correlation between the prediction model and the performance change of low-carbon economic development is analyzed. …”
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On the Nonlinear Behavior of the Piezoelectric Coupling on Vibration-Based Energy Harvesters by Luciana L. Silva, Marcelo A. Savi, Paulo C. C. Monteiro, Theodoro A. Netto

“…Linear constitutive models for piezoelectric materials can provide inconsistencies on the prediction of the power output of the energy harvester, mainly close to resonant conditions. …”
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Dynamic behavior of solitons in nonlinear Schrödinger equations by Mostafa M. A. Khater, Suleman H. Alfalqi, Aleksander Vokhmintsev

“…The analytical solutions obtained can facilitate precise control and prediction of wave behaviors in practical applications, thereby advancing our capability to manipulate and harness nonlinear wave phenomena in diverse scientific and engineering contexts.…”
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Compressive Strength Evaluation of Fiber-Reinforced High-Strength Self-Compacting Concrete with Artificial Intelligence by Tu T. Nguyen, Hoa Pham Duy, Tung Pham Thanh, Hoang Hiep Vu

“…This paper describes the application of two artificial intelligence- (AI-) based methods to predict the 28-day compressive strength of fiber-reinforced high-strength self-compacting concrete (FRHSSCC) from its ingredients. …”
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Time Scale of Chloride-Induced Corrosion on Circular Section RC Linked Accelerated Test to Natural Corrosion by Yue Zhang, Fangyan Lan, Mi Zhou, Ke Wang

“…An accelerated corrosion test (ACT) was carried out on RC specimens were conducted under different chloride concentrations and applied voltages, with the information of steel measured. A novel prediction model of the complete corrosion process is proposed to evaluate the time correlation between accelerated decay and natural corrosion. …”
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Development of a Bayesian Network-based Safety Performance Quantification Model on building construction projects in Korea by Taegeun Song, Kiseok Lee, Yoonseok Shin, Wi Sung Yoo

“…The BS of the trained model is below 0.25, and the prediction rate is approximately 80%. The Bayesian Network-based SPQM can be a decision-making tool to quantify performance using unstructured data. …”
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Effective Fatigue Evaluation on Rubber Mounts for Rail Vehicles by Robert Keqi Luo

“…The fatigue cracks were located at the points where the effective stress reached its maximum. The orientation prediction correlated with the experimental observations. …”
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Research Progress in Computational Methods for System-Level Coupling of Electromagnetic Pulse by Haiyan Xie, Jianguo Wang

“…This simplified method reduces the complexity of analysis from <inline-formula> <tex-math notation="LaTeX">$N^{2}$ </tex-math></inline-formula> to N, where N represents the number of lines in the network. Additionally, a prediction model that utilizes artificial neural networks (ANN) for HEMP coupling with overhead lines is presented. …”
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Distortion Optimized Packet Scheduling and Prioritization of Multiple Video Streams over 802.11e Networks by Ilias Politis, Michail Tsagkaropoulos, Thomas Pliakas, Tasos Dagiuklas

“…This paper presents a generic framework solution for minimizing video distortion of all multiple video streams transmitted over 802.11e wireless networks, including intelligent packet scheduling and channel access differentiation mechanisms. A distortion prediction model designed to capture the multireferenced frame coding characteristic of H.264/AVC encoded videos is used to predetermine the distortion importance of each video packet in all streams. …”
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Research on autonomous navigation of mobile robots based on IA-DWA algorithm by Quanling He, Zongyan Wang, Kun Li, Yuting Zhang, Menglong Li

“…First, the data from the odometer and the inertial measurement unit (IMU) are fused using the extended Kalman filter (EKF) to reduce the error caused by wheel slippage on the mobile robot’s positioning and improve the mobile robot’s positioning accuracy. Second, the prediction function, weight coefficients, search neighborhood, and path smoothing processing of the A* algorithm are optimally designed to incorporate the critical point information in the global path into the DWA calculation framework. …”
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The Characteristic Transient Response of a Pressurized Cantilever Pipe Subjected to Transverse Impact at Its Tip by Feng Liu, Yuchao Yang, Yuelei Wu

“…This paper describes an experimental study on the pure bending mechanical behavior of a pressurized pipe and adoption of a measured moment-curvature relationship under different working conditions in numerical simulations for transient pipe-whip prediction. To describe the effects of pipe contents and internal pressure, the governing equations were derived based on large deformation theory. …”
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Large Eddy Simulation of Premixed Stratified Swirling Flame Using the Finite Rate Chemistry Approach by Yinli Xiao, Zhengxin Lai, Wenyan Song

“…The large eddy simulation predictions are compared with experimental measurements for velocity, temperature, and concentrations of major species. …”
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Image Recommendation Algorithm Combined with Deep Neural Network Designed for Social Networks by Shaohui Du, Zhenghan Chen, Haoyan Wu, Yihong Tang, YuanQing Li

“…The multilayer regression algorithm is adopted to randomly sample some network nodes to obtain the cognitive information of the nodes sampled in the entire network, predict the relationship between all nodes in the network based on the cognitive information, and perform low sampling to achieve relationship prediction. …”
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Modern Trends of Engineering Pedagogy Development by T. Y. Polyakova

“…Fast changes of modern society require regular analysis of social needs, specification and updating of engineering education aims, which takes place in the conditions of changeability and uncertainty and are more and more based on prediction. New forms of engineers’ training appear in order to overcome the gap between the requirements of engineers’ activities and the results of their education, and they are organized by joint efforts of universities, researchers, industry and business. …”
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