Machine Learning-Based Backpressure Unstart Prediction and Warning Method for Combined Cycle Engine Hypersonic Inlet-Oriented Wide Speed Range by Ke Min, Tanbao Hong, Zejun Cai, Lianchen Yu, Chengxiang Zhu, Jianping Zeng

“…Finally, the proposed method and prediction models are validated by wind tunnel experimental data.…”
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Cranial ultrasound as a complementary method to the general movements assessment in preterm infants for predicting the neurological outcome - a single center experience by Zlatanović Dragan, Čolović Hristina, Živković Vesna, Stanković Anita, Kostić Milica, Pejčić Vuk, Radovanović Vukota

“…Preterm birth is considered a risk factor for abnormal neurological development. The study aimed to evaluate the significance of CUS in preterm infants as a complementary method to the General Movements Assessment for predicting neurological outcomes. …”
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A data-driven prediction method for shear bearing capacity of flexural-shear type RC column based on PCC-XGB-SHAP by Tao Huang, Chunfeng Wan, Tingbin Liu, Changqing Miao

“…Results indicate that the XGB model has the highest accuracy and robust generalization ability, making it the most suitable ML method for shear capacity prediction. Based on the prediction data of the optimized model, the SHAP method is applied to address the model interpretability issue in the shear bearing capacity prediction of flexure-shear RC columns. …”
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Egg freshness during storage: the effect of laying hen age and shelf life prediction using a novel hybrid modeling method by Yifeng Lu, Jing Li, Zihao He, Linyun Chen, Huixin Tian, Chen Xu, Xinglian Xu, Minyi Han

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A Novel Rubber Composite Sleeper-Deformation-Prediction Model Based on Response Surface Method (RSM) and Machine Learning (ML) Techniques by Abdulmumin Ahmed Shuaibu, Zhiping Zeng, Ibrahim Hayatu Hassan, Wang Weidong, Hassan Suleiman Otuoze, Suleiman Abdulhakeem, Bushrah Baba Abdulrahman

“…To ensure accurate ML predictions, the dataset was split into 70% for training and 30% for testing. …”
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Co-designing a dashboard of predictive analytics and decision support to drive care quality and client outcomes in aged care: a mixed-method study protocol by Andrew Georgiou, Julie Ratcliffe, Jeffrey Braithwaite, Kristiana Ludlow, Johanna Westbrook, Joyce Siette, Jacqueline Close, Stephen R Lord, Melissa T Baysari, Wu Yi Zheng, Richard O Day, Amy Nguyen, Mikaela Jorgensen, Melissa Miao, Magdalena Z Raban, Karla Seaman, Elizabeth Beattie, Deborah Debono, Leonard C Gray, Cynthia Stanton, Alex Thompson, Kimberly E Lind, David Roffe, Jo Root, Libby O’Toole, Marcela Carrasco, Javed Shaikh, Jeffrey Wong, Rebecca Haddock

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Developing a transparent reporting tool for AI-based diagnostic prediction models of disease and syndrome in Chinese medicine: a Delphi protocol by Jieyun Li, Jieyun Li, Wei Song Seetoh, Jiekee Lim, Jiekee Lim, Xin’ang Xiao, Xin’ang Xiao, Kehu Yang, Si Yong Yeo, Boyun Sun, Jinhua Liu, Zhaoxia Xu, Zhaoxia Xu, Linda L. D. Zhong

“…To address this gap, it is essential to establish a transparent and standardized reporting tool specifically designed for CM diagnostic and syndrome prediction models. This will enhance the transparency, reproducibility, and clinical relevance of research findings in this emerging field.MethodsThis study adopts a structured, multi-phase Delphi protocol. …”
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Early prediction value of ASL-MRI for induced chemotherapy response and short-term efficacy of locally advanced nasopharyngeal carcinoma by SHEN Mingjun, YANG Chaolin, ZHOU Ziyan, WANG Rensheng, KANG Min

“…Methods Thirty-eight newly diagnosed LA-NPC patients were enrolled. …”
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Evaluation and estimation of changes in water quality using zoning map and researchers-developed software (case study: Pir-Bazar river) by Majid Homami, Seyed Ahmad Mirbagheri, Seyed Mehdi Borghei, Madjid Abbaspour

“…Materials and methods: The present study aimed at evaluating the eutrophication status and prediction of temporal-spatial changes in nutrients concentrations, such as ammonium-nitrogen (N-NH3), nitrate (N-NO3), total nitrogen (TN), phosphorous (PO4-3), TP, in the estuary of Pir-Bazar river as the main and most important stream feeding the Anzali International Wetland. …”
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Synthetic Data Generation and Evaluation Techniques for Classifiers in Data Starved Medical Applications by Wan D. Bae, Shayma Alkobaisi, Matthew Horak, Siddheshwari Bankar, Sartaj Bhuvaji, Sungroul Kim, Choon-Sik Park

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Correlation analysis and recurrence evaluation system for patients with recurrent hepatolithiasis: a multicentre retrospective study by Zihan Li, Zihan Li, Yibo Zhang, Zixiang Chen, Jiangming Chen, Hui Hou, Cheng Wang, Zheng Lu, Xiaoming Wang, Xiaoping Geng, Fubao Liu

“…Nine predictive models, which we named the Correlation Analysis and Recurrence Evaluation System (CARES), were developed and compared using machine learning (ML) methods to predict the patients’ dynamic recurrence risk within 5 post-operative years. …”
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Impact of pulse pressure variability evaluated by visit-to-visit on heart failure events in patients with hypertension: insights from the SPRINT trial by Huan Ma, Minyan Wang, Chu Qin, Oscar Onayi Mandizadza, Li Wu, Ruichen Cong, Yun Shi, Wei Mao, Conghua Ji

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Evaluating the Thermal Shock Resistance of SiC-C/CA Composites Through the Cohesive Finite Element Method and Machine Learning by Qiping Deng, Yu Xiong, Zirui Du, Jinping Cui, Cheng Peng, Zhiyong Luo, Jinli Xie, Hailong Qin, Zhimin Sun, Qingfeng Zeng, Kang Guan

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Evaluating Freshness Loss of Green Tea with Q10 Method and Weibull Hazard Analysis under Accelerated Shelf Life Testing by Mengxuan Xiao, Sitong Liu, Huozhu Jin, Mingji Xiao, Huiqiang Wang, Haiwei Zhang, Qianying Dai

“…The results show that it is possible to predict the suitable drinking period of green tea during storage by the Q10 method.…”
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Computational evaluation on spectroscopic (FT-IR, Raman), electronic and biological, and NLO properties of cirsilineol by DFT, ADMET, and molecular docking method by Tirth Raj Paneru, Poonam Tandon, Bhawani Datt Joshi

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Computational evaluation on spectroscopic (FT-IR, Raman), electronic and biological, and NLO properties of cirsilineol by DFT, ADMET, and molecular docking method by Tirth Raj Paneru, Poonam Tandon, Bhawani Datt Joshi

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Evaluation of the Effect of Uncertainties on the Acoustic Behavior of a Porous Material Located in a Duct Element Using the Monte Carlo Method by Hanen Hannachi, Hassen Trabelsi, Marwa Kani, Mohamed Taktak, Mabrouk Chaabane, Mohamed Haddar

“…In the present study, this method is applied to a theoretical model predicting the acoustic behavior of a porous material located in a duct element to evaluate the impact of each input error on the computation of the acoustic proprieties such as the reflection and transmission coefficients as well as the acoustic power attenuation and the transmission loss of the studied element. …”
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Maximal mouth opening is a simple method to evaluate the treatment outcome of temporomandibular joint arthritis in patients with juvenile idiopathic arthritis by Mia Huhtanen, Katriina Mikola, Anu Kiukkonen, Tuula Palotie

“…TMJ arthritis can cause significant disturbances in TMJ function and growth without treatment. Our aim was to evaluate the effectiveness of medical treatments used to manage TMJ arthritis and how to evaluate the outcome of the treatment. …”
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Evaluation method and application for in-situ stress in No. 8+9 coal seam, southern Shenfu block, northeastern margin of Ordos Basin by Jiawei WU, Wei TANG, Yanhe ZHU, Cunwu WANG, Yongjing TIAN, Jingyu ZI, Jianghao YANG, Xian SHI

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Predictive factors for outcomes of sialoendoscopy by Hannah Damasceno Barreto, Jose Higino Steck, Samuel Serpa Steck, Diogo Silva de Carvalho, Carlos Takahiro Chone

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