Quality by Design (QbD) Assisted Fabrication of Fast Dissolving Buccal Film for Clonidine Hydrochloride: Exploring the Quality Attributes by Pankaj V. Dangre, Ram D. Phad, Sanjay J. Surana, Shailesh S. Chalikwar

“…., HPMC E15 (X1) and PEG 400 (X2), as independent variables (factors) on thickness (mm) (Y1), disintegration time (s) (Y2), folding endurance (Y3), and tensile strength (kg) (Y4). Furthermore, prediction profiler assists in predicting composition of best formulation encompassing desired targeted response. …”
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Research on Highway Roadside Safety by Guozhu Cheng, Rui Cheng, Yulong Pei, Juan Han

“…This paper reviewed the different prediction methods and evaluation models for the frequency and severity of roadside accidents. …”
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New Approach for the Calculation of the Intraocular Lens Power Based on the Fictitious Corneal Refractive Index Estimation by Joaquín Fernández, Manuel Rodríguez-Vallejo, Javier Martínez, Ana Tauste, David P. Piñero

“…To identify the sources of error in predictability beyond the effective lens position and to develop two new thick lens equations. …”
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Influence of Pilocarpine Eyedrops on the Ocular Biometric Parameters and Intraocular Lens Power Calculation by Ruxin Gao, Jinkun Liu, Xiaojie Zhou, Luping Huang, Weiyi Huang, Yingying Xue, Fei Wang, Songjian Gong, Renyi Wu, Yuhong Wang

“…Lens position (LP) was calculated, and the IOL power prediction based on the ocular biometric parameters was performed using the Barrett Universal II, Haigis, Hoffer Q, Holladay I, or SRK/T formulas before and after pilocarpine application. …”
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Drainage Pipeline Multi-Defect Segmentation Assisted by Multiple Attention for Sonar Images by Qilin Jin, Qingbang Han, Jianhua Qian, Liujia Sun, Kao Ge, Jiayu Xia

“…The test precision and accuracy of MAP@50 reach 96.0% and 90.9%, respectively, in the segmentation prediction. Compared to the coordinate attention and convolutional block attention module attention models, it had a significant precision advantage, and the weight file size is merely 7.0 MB, which is far smaller than the Yolov9 model segmentation weight size. …”
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Investigation of the application of an automated monitoring system for detecting transmission cable deterioration in Nigeria: A case study of transmission cable lines between Offa... by C.S. Omoniabipi, R. Agbadede, K.C. Emmanuel, O.J. Adewuni, I. Allison

“…The study successfully demonstrated the prediction of overload conditions using neural networks, with minimal errors illustrated through confusion matrices and performance plots.…”
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Adept Domestic Energy Load Profile Development Using Computational Intelligence-Based Modelling by Olawale Popoola, Agnes Ramokone, Ayokunle Awelewa

“…The aptitude to improve on energy prediction and evaluation accuracy, especially in these periods, makes it a highly suited tool for demand-side management, power generation, and distribution planning activity. …”
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Effect of bending load on electrical conductivity of carbon/epoxy composites filled with nanoparticles using design of experiment and artificial neural networks by Ali Sadollah, Seyed Morteza Razavi, Abobakr Khalil Al-Shamiri

“…The ANNs and ELM models prove effective in accurately predicting data, and the model generated by DOE is statistically valid with a confidence level exceeding 95 %. …”
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A New Big Data Approach to Understanding General Traffic Impacts on Bus Passenger Delays by Yaiza Montero-Lamas, Margarita Novales, Alfonso Orro, Graham Currie

“…For that purpose, in the first place, a travel time prediction model per vehicle trip has been developed. …”
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Identification and dipeptidyl peptidase IV (DPP-IV) inhibitory activity verification of peptides from mouse lymphocytes by Juan Wang, Yujia Xie, Yuanyuan Luan, Tingting Guo, Shanshan Xiao, Xingxing Zeng, Shaohui Zhang

“…After compared with peptides reported, 131 novel peptides were discovered, which then were predicted bioactivity by Peptide Ranker and 6 peptides with high bioactivity were predicted function by BIOPEP-UMW database. …”
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Evaluation of Geomembrane Effect Based on Mobilized Shear Stress due to Localized Sinking by Weihua Lu, Yongxing Zhang, Weizheng Liu, Cheng Liu, Haibo Wang

“…In routine design work, the geomembrane effect must be well estimated and the tensile strain should be precisely predicted. Conventional analytical methods often adopt the limit state method to calculate the overlying load on the deflected geosynthetic. …”
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Developing the US Wildland Fire Decision Support System by Erin K. Noonan-Wright, Tonja S. Opperman, Mark A. Finney, G. Thomas Zimmerman, Robert C. Seli, Lisa M. Elenz, David E. Calkin, John R. Fiedler

“…WFDSS accesses national weather data and forecasts, fire behavior prediction, economic assessment, smoke management assessment, and landscape databases to efficiently formulate and apply information to the decision making process. …”
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Effect of Rotation Speed and Flow Rate on Slip Factor in a Centrifugal Pump by Bo Chen, Baolin Song, Bicheng Tu, Yiming Zhang, Xiaojun Li, Zhigang Li, Zuchao Zhu

“…The modified model is suitable for the correction of slip factor at part-load flow rates and serves as a guide for the hydraulic performance design and prediction of centrifugal pumps.…”
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Approaches to evaluate nutrition of minerals in food by Xuan Wang, Yifan He, Qian Gao, Dong Yang, Jianfen Liang

“…Chemical methods are first developed, and mainly simulating the digestion environment to give a rough prediction of mineral bioavailability. In vitro models mainly used different cells to simulate the process and environment of food digestion to assess the availability of minerals. …”
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Polluting potential of post-Fenton products in landfill leachate treatment by M.R. Sabour, A. Amiri

“…The results were in good agreement with determination coefficient (R2) of 0.94–0.97, prediction R2 of 0.80–0.93 and coefficient of variation less than 10.…”
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Novel Optimization Algorithms Usage to Model the Compressive Strength of Ultra-High-Performance Concrete in Machine Learning Technique: Support Vector Regression by Tianhua Zhou, Dorota Mozyrska

“…This study suggested a machine learning method for predicting the CS of UHPC including support vector regression (SVR). …”
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Experimental Study of Site-Specific Soil Water Content and Rainfall Inducing Shallow Landslides: Case of Gakenke District, Rwanda by Martin Kuradusenge, Santhi Kumaran, Marco Zennaro, Albert Niyonzima

“…These values are used as thresholds for LEWS for that specific site to improve predictions.…”
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Austenite Grain Growth Kinetics in API X65 and X70 Line-Pipe Steels during Isothermal Heating by Asiful Hossain Seikh, Mahmoud S. Soliman, Abdulhakim AlMajid, Khaled Alhajeri, Waleed Alshalfan

“…Good agreement is obtained between the prediction of the model and the experimental grain size values.…”
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A PLS-SEM Based Approach: Analyzing Generation Z Purchase Intention Through Facebook’s Big Data by Vikas Kumar, Preeti, Shaiku Shahida Saheb, Sunil Kumari, Kanishka Pathak, Jai Kishan Chandel, Neeraj Varshney, Ankit Kumar

“…The study found the proposed conceptual model had a high prediction power of Generation Z intentions to purchase retail products through Facebook verifying the materialization of F-commerce. …”
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The Use of Corticosteroid Randomisation after Significant Head Injury (CRASH) Prognostic Model as Mortality Predictor of Traumatic Brain Injury Patients Underwent Surgery in Low-Mi... by Radian A. Halimi, Iwan Fuadi, Dionisius Alby

“…The AUC analysis revealed an excellent mortality prediction (AUC 0.838; CI 95%). Conclusion. The CRASH prognostic model performs well in predicting the 14-day mortality of TBI patients who underwent surgery in low-middle income countries.…”
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