Prostanoids in bronchoalveolar lavage fluid do not predict outcome in congenital diaphragmatic hernia patients by H. Ijsselstijn, F. J. Zijlstra, J. C. De Jongste, D. Tibboel

“…We conclude that prostanoid levels in BAL fluid do not predict clinical outcome in CDH patients.…”
Get full text

Multiple Influence Factor Sensitivity Analysis and Height Prediction of Water-Conducting Fracture Zone by Xiaobin Li, Quansheng Li, Xuhui Xu, Yongqiang Zhao, Peng Li

“…Based on this, the prediction formula was proposed and successfully used in the field practice. …”
Get full text

Distributed Model Predictive Control for Platooning of Heterogeneous Vehicles with Multiple Constraints and Communication Delays by Maode Yan, Wenrui Ma, Lei Zuo, Panpan Yang

“…A distributed model predictive control (DMPC) scheme is proposed to drive the heterogeneous vehicles into the desired platoon. …”
Get full text

Histopathology and proteomics are synergistic for high-grade serous ovarian cancer platinum response prediction by Oz Kilim, Alex Olar, András Biricz, Lilla Madaras, Péter Pollner, Zoltán Szállási, Zsofia Sztupinszki, István Csabai

“…This method outperforms the Homologous Recombination Deficiency (HRD) score in predicting platinum response and overall patient survival. …”
Get full text

An Intelligent Carbon-Based Prediction of Wastewater Treatment Plants Using Machine Learning Algorithms by Anwer Mustafa Hilal, Maha M. Althobaiti, Taiseer Abdalla Elfadil Eisa, Rana Alabdan, Manar Ahmed Hamza, Abdelwahed Motwakel, Mesfer Al Duhayyim, Noha Negm

“…The relative error rate of prediction is 12.03 which is lesser than existing models.…”
Get full text

Suggesting a Novel Hybrid Approach for Predicting Solar Irradiance in the Qinghai Province of China by Baran Yılmaz, Rachel Samra

“…This work aims to provide a hybrid model using machine learning to accurately predict solar Direct normal irradiance with the least amount of error. …”
Get full text

Predicting academic procrastination of students based on academic self-efficacy and emotional regulation difficulties by Hamidreza Farhadi Rad, Shima Bordbar, Jamshid Bahmaei, Marjan Vejdani, Ali Reza Yusefi

“…This research aimed to investigate and predict academic procrastination based on academic self-efficacy and emotional regulation difficulties of students of one of the medical sciences universities in southern Iran in 2024. …”
Get full text

Study on a New Method of Link-Based Link Prediction in the Context of Big Data by Chen Jicheng, Chen Hongchang, Li Hanchao

“…Link prediction is a concept of network theory that intends to find a link between two separate network entities. …”
Get full text

Analytical, Dynamic, and Interactive Platform for Generation and Managing Predictive Models Focused on Energy Sector by Inés Romero, Alberto Ochoa-Zezzati

Get full text

Evaporation Rate Prediction Using Advanced Machine Learning Models: A Comparative Study by Zainab Abdulelah Al Sudani, Golam Saleh Ahmed Salem

“…The results showed that the GBM model has much better performance in predicting monthly evaporation over two stations compared to other applied models. …”
Get full text

Predictive Factors of Response to Biological Disease Modifying Antirheumatic Drugs: Towards Personalized Medicine by Claire I. Daïen, Jacques Morel

Get full text

Data-Driven Methodology for the Prediction of Fluid Flow in Ultrasonic Production Logging Data Processing by Hongwei Song, Ming Li, Chaoquan Wu, Qingchuan Wang, Shunke Wei, Mingxing Wang, Wenhui Ma

“…The present method was used to calibrate an ultrasonic Doppler sensor to estimate the flow rates of both phases in oil–water flow in a vertical pipe of diameter 159 mm. Predictions of the present method were in good agreement with direct flow rate measurements. …”
Get full text

Biomarker combinations from different modalities predict early disability accumulation in multiple sclerosis by Vinzenz Fleischer, Tobias Brummer, Muthuraman Muthuraman, Muthuraman Muthuraman, Falk Steffen, Milena Heldt, Maria Protopapa, Muriel Schraad, Gabriel Gonzalez-Escamilla, Sergiu Groppa, Stefan Bittner, Frauke Zipp

“…ObjectiveEstablishing biomarkers to predict multiple sclerosis (MS) disability accrual has been challenging using a single biomarker approach, likely due to the complex interplay of neuroinflammation and neurodegeneration. …”
Get full text

A Hybrid FEM-CNN for Image-Based Severity Prediction of Corroded Offshore Pipelines by Mohammad Fadzil Najwa, Muda Mohd Fakri, Abdul Shahid Muhammad Daniel, Aziz Norheliena, Mohd Mohd Hairil, Mohd Amin Norliyati, Mohd Hashim Mohd Hisbany

“…Moreover, the model was validated for prediction with irregular-sized corroded pipelines (50x100 mm and 10x100 mm). …”
Get full text

Vibration-Based Damage Prediction in Composite Concrete–Steel Structures Using Finite Elements by Mario D. Cedeño-Rodríguez, Sergio J. Yanez, Erick I. Saavedra-Flores, Carlos Felipe Guzmán, Juan Carlos Pina

Subjects: Get full text

Evaluating the Impact of Data Transformation Techniques on the Performance and Interpretability of Software Defect Prediction Models by Yu Zhao, Zhiqiu Huang, Lina Gong, Yi Zhu, Qiao Yu, Yuxiang Gao

“…The performance of software defect prediction (SDP) models determines the priority of test resource allocation. …”
Get full text

Prediction of Compressive Strength of Concrete and Rock Using an Elementary Instance-Based Learning Algorithm by Shun-Chieh Hsieh

“…The use of machine learning techniques to predict material strength is becoming popular. However, not much attention has been paid to instance-based learning (IBL) algorithms. …”
Get full text

Substance Abuse Behaviour Among Youths: The Predictive Effects of Social Media and Peer Pressure by Enyelunekpo Roberts, Constance Odumodu N., Uye Emmanuel E

“…The result revealed that social media and peer pressure jointly predicted substance abuse behaviour among study participants (R2 = .730, F= 6.724, p =.001). …”
Get full text

FingerDTA: A Fingerprint-Embedding Framework for Drug-Target Binding Affinity Prediction by Xuekai Zhu, Juan Liu, Jian Zhang, Zhihui Yang, Feng Yang, Xiaolei Zhang

“…This paper proposes a Fingerprint-embedding framework for Drug-Target binding Affinity prediction (FingerDTA), which uses CNN to extract local patterns and utilize fingerprints to characterize global information. …”
Get full text

Predictive models for the surface roughness and subsurface damage depth of semiconductor materials in precision grinding by Shang Gao, Haoxiang Wang, Han Huang, Zhigang Dong, Renke Kang

Subjects: Get full text