A Fast Prediction Model of Supercritical Airfoils Based on Deep Operator Network and Variational Autoencoder Considering Physical Constraints by Mengxin Liu, Yunjia Yang, Chenyu Wu, Yufei Zhang

“…Several physical constraints based on mass conservation and pressure coefficient are introduced to reduce the reconstruction loss and improve the model generalization ability. …”
Get full text

Vulnerability analysis of the economic-social-ecological complex system of Island tourism destinations. by Mingya Zhang, Yetao Zhou, Senyao Sang

“…The research results reveal that the vulnerability of Zhoushan's economic-social-ecological complex system shows a decreasing trend, indicating its ability to withstand external disturbances continuously increases. …”
Get full text

A deep learning framework for virtual continuous glucose monitoring and glucose prediction based on life-log data by Min Hyuk Lim, Hyocheol Chae, Jeongwon Yoon, Insik Shin

“…The model showed a 19.49 ± 5.42 (mg/dL) in Root Mean Squared Error, 0.43 ± 0.2 in correlation coefficient, and 12.34 ± 3.11 (%) in Mean Absolute Percentage Eror for current glucose level predictions without any information of glucose at the inference step. …”
Get full text

Effect of epoxidized natural rubber compatibilizer on porous natural rubber foam properties: Chemical crosslinks, elasticity, weathering and sound absorption behaviors by Kriengsak Damampai, Kanoknan Boonpan, Yeampon Nakaramontri

“…Additionally, the presence of a closed-cell structure in the blends reduced crack propagation in the NR matrix during aging, improving weathering resistance. The absorption coefficient increased with higher ADC content, being optimal at 15 phr, due to the lower density and higher porosity of the opened-cell material, which enhances its ability to interact more effectively with incoming energy at 1600 and 6400 Hz. …”
Get full text

EXPERIMENTAL INVESTIGATION OF A DOUBLE-STAGE SHROUDED HORIZONTAL AXIS WIND TURBINE by MAGDY B.H., ABDELGALIL E., AHMED A.

“…An experimental study is presented in this paper to check the ability of using a new power system, which utilizes the destroyed energy that is caused by the lens of a shrouded wind turbine. …”
Get full text

The developmental genetic architecture of vocabulary skills during the first three years of life: Capturing emerging associations with later-life reading and cognition. by Ellen Verhoef, Chin Yang Shapland, Simon E Fisher, Philip S Dale, Beate St Pourcain

“…A second, independent genetic factor emerging with receptive vocabulary at 38 months (path coefficient: 0.15(SE = 0.07)), was more generally linked to verbal and non-verbal cognitive abilities in mid-childhood (reading path coefficient: 0.57(SE = 0.07); verbal intelligence path coefficient: 0.60(0.10); performance intelligence path coefficient: 0.50(SE = 0.08)), accounting for up to 36.1% of the phenotypic variation and the majority of genetic variance in these later-life traits (≥66.4%). …”
Get full text

A New Joint Denoising Algorithm for High-G Calibration of MEMS Accelerometer Based on VMD-PE-Wavelet Threshold by Huiliang Cao, Zekai Zhang, Yu Zheng, Hao Guo, Rui Zhao, Yunbo Shi, Xiujian Chou

“…The combination of PE and VMD not only avoids the phenomenon of mode aliasing but also improves the ability to identify the noise components, which makes the wavelet threshold denoising more specific. …”
Get full text

Impaired instance acquisition as a cause of the comorbidity of learning disorders in young adults by Chiara Valeria Marinelli, Giuliana Nardacchione, Marialuisa Martelli, Vincenza Tommasi, Marco Turi, Paola Angelelli, Pierpaolo Limone, Pierluigi Zoccolotti, Pierluigi Zoccolotti

“…It has been proposed that a low ability in instance acquisition may be the key cause of the comorbidity among learning disorders. …”
Get full text

GPT-based prediction of short-term survival following decompressive hemicraniectomy in malignant middle cerebral artery infarction by Sebastian Lehmann, Martin Vychopen, Erdem Güresir, Johannes Wach

“…After dichotomization according to the cutoff set, a chi-squared test (two-sided) was performed.ResultsGPT-4 and GPT-4 Omni demonstrated the ability to estimate survival during in-hospital stay. …”
Get full text

Soil Porosity Detection Method Based on Ultrasound and Multi-Scale Feature Extraction by Hang Xing, Zeyang Zhong, Wenhao Zhang, Yu Jiang, Xinyu Jiang, Xiuli Yang, Weizi Cai, Shuanglong Wu, Long Qi

“…Since the collected ultrasonic signals belong to long-time series data and there are different frequency and sequence features, this study constructs a multi-scale CNN-LSTM deep neural network model using large convolution kernels based on the idea of multi-scale feature extraction, which uses multiple large convolution kernels of different sizes to downsize the collected ultra-long time series data and extract local features in the sequences, and combining the ability of LSTM to capture global and long-term dependent features enhances the feature expression ability of the model. …”
Get full text

Features of defecation dysfunction among patients with Hirschsprung disease in early childhood by Shiwen Pan, Wei Li, Chengpeng Shi, Weibing Tang, Changgui Lu

“…No apparent correlation was detected between age and the total BFS at the follow-up evaluation in the RSHD and DTHD groups (Spearman’s rank correlation coefficient: ρ = 0.081, P = 0.329 and ρ = 0.081, P = 0.626, respectively). …”
Get full text

Reliability and validity analysis of the Chinese version of the Quick Dementia Rating System (QDRS) by Hang Su, Jiehua Zhu, Yifan Wang, Jun Jin, Qihao Guo

“…The C-QDRS showed statistically superior discriminative ability compared to ACE-III and MoCA-B in detecting obj-SCD (both P < 0.05). …”
Get full text

Validating genomic predictions for economic traits in purebred US dairy heifers by Sajjad Toghiani, Paul M. VanRaden, Daniel J. Null, Asha M. Miles, Curtis P. Van Tassell

“…The larger number of observations and lower SE of the weighted regression coefficient prediction in HO and JE breeds contributed to more stable and consistent regression coefficients for all traits except milk fever and heifer livability. …”
Get full text

Prediction of Soil Carbon Sequestration in Rangelands Regarding the Depth and Elevation of Sample Locations using Adaptive Neuro-Fuzzy Inference System (ANFIS) (Case Study: Lar Wat... by zeinab jafarian, zhila ghorbani

“…Extended Abstract Background: Soil organic carbon is one of the important parameters to determine soil fertility, and production ability and a mind index for showing soil quality of dry and semi-dry lands. …”
Get full text

Different Scale Crack Contour Extraction Techniques for Bridges Incorporating Improved YOLOv5 and GCNet by Yiming Wang, Yanfang Guo

“…The intersection-union ratio coefficient tested on the dataset was 0.93, and the pixel accuracy value was 0.99. …”
Get full text

Crack Detection, Classification, and Segmentation on Road Pavement Material Using Multi-Scale Feature Aggregation and Transformer-Based Attention Mechanisms by Arselan Ashraf, Ali Sophian, Ali Aryo Bawono

“…The proposed methodology significantly enhances the model’s ability to handle varying crack sizes, shapes, and complex pavement textures. …”
Get full text

Relationship between the Reliability of Tennis-Specific Change of Direction (77COD) Test and Squat Jump–Countermovement Jump in Adolescent Tennis Players by Selman Kaya, Aysu Önal, Gökhan Deliceoğlu

“…The test–retest reliability of the 77COD test was found to be very high, with an intraclass correlation coefficient (ICC) of 0.95. Our findings showed that the 77COD test is suitable for determining COD ability in adolescent tennis players. …”
Get full text

Unlocking the potential of ChatGPT in detecting the XCO2 hotspot captured by orbiting carbon observatory-3 satellite by Young-Seok Hwang, Stephan Schlueter, Biswajeet Pradhan, Jung-Sup Um

“…Abstract This study assesses the practical implications of ChatGPT’s ability to identify hotspots by comparing its performance to Geographical Information System (GIS) software in detecting CO2 sources and sinks observed by the Orbiting Carbon Observatory-3 (OCO-3) satellite. …”
Get full text

Prediction of coal and gas outbursts based on physics informed neural networks and traditional machine learning models by Lei Wang, Baoshan Jia, Guorui Su

“…The results show that the PINN model achieves a coefficient of determination (R2) of 0.966 and a root mean square error (RMSE) of 6.452, outperforming the traditional models in both prediction accuracy and generalization ability. …”
Get full text

Numerical Assessments on Laminar Airflow, Thermal Characteristic, and Performance Improvement in a Round Tube Equipped With Combined Vortex Generators by Amnart Boonloi, Withada Jedsadaratanachai

“…Enhancing the convective heat transfer coefficient, heat transfer ability, and thermal performance in the RTHE is mostly because of the reduction of the T-BL thickness. …”
Get full text