SVFRH: A Growth Stage-Based Compartmental Model for Predicting the Disease Incident in Tomato (Solanum lycopersicum) by Athira P. Shaji, S. Hemalatha

“…The results demonstrate the model’s capacity to accurately predict disease incidents at each growth stage. An overall probability of disease incidents is calculated by combining the probabilities from each stage-specific model. …”
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Prediction Formula Describing Viscoelasticity of Unvulcanized Rubber Compound Based on Time-Temperature Equivalent Superposition Principle by Yong Li, Xunhua Sun, Yanan Miao, Shuang Zhang, Fangkai Guo, Long Chen

“…Fitting unvulcanized rubber compound’s (URC) dynamic viscoelasticity prediction formula and then constructing its mechanical constitutive model are of great significance for studying defect mechanisms in rubber products. …”
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Asthma Risk Prevalence and Associated Factors in Stunted Children: A Study Using Asthma Predictive Index by Gartika Sapartini, Gary W. K. Wong, Agnes Rengga Indrati, Cissy B. Kartasasmita, Budi Setiabudiawan

“…Stunting is a significant risk factor for wheezing disorders. The asthma predictive index (API) identifies children with a recurrent wheezing disorder at risk of developing asthma during the first 3 years. …”
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Machine Learning Algorithms Analysis of Synthetic Minority Oversampling Technique (SMOTE): Application to Credit Default Prediction by Emmanuel de-Graft Johnson Owusu-Ansah, Richard Doamekpor, Richard Kodzo Avuglah, Yaa Kyere Adwubi

“…Credit default prediction is an important problem in financial risk management. …”
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Prediction and Analysis of Abnormal Gas Emission Law in Low-Gas Tunnel Based on K-Line Diagram by Haiyang Wang, Shulei Zhao, Jialiang Liu, Yanmin Zhou, Xiang Chen, Jie Wang, Liang Cheng

“…By tracking and analyzing the gas monitoring data of the low-gas tunnel, it is found that the cyclic abnormal gas emission occurred many times during the construction period, leading to local gas accumulation, which greatly increases the risk of gas explosion accidents. To scientifically predict the abnormal gas emission in low-gas tunnels, the idea of K-line diagram-based prediction of abnormal gas emission in low-gas tunnels is put forward, and in combination with the field monitoring data of low-gas tunnel (Huangguashan Tunnel), the prediction results with different prediction indexes of K-line diagram are compared and analyzed. …”
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An Efficient 3D Convolutional Neural Network for Dose Prediction in Cancer Radiotherapy from CT Images by Lam Thanh Hien, Pham Trung Hieu, Do Nang Toan

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Hydrological Layered Dialysis Research on Supply Chain Financial Risk Prediction under Big Data Scenario by Jia Liu, Shiyong Li, Xiaoxia Zhu

“…The results can enrich the research on risk management of supply chain finance and provide feasible and effective risk prediction methods and suggestions for financial institutions.…”
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Machine learning-based prediction of hemodynamic parameters in left coronary artery bifurcation: A CFD approach by Sara Malek, Arshia Eskandari, Mahkame Sharbatdar

“…Percutaneous coronary intervention (PCI) of bifurcation lesions presents challenges, necessitating accurate assessment of hemodynamic parameters such as wall shear stress (WSS) and oscillatory shear index (OSI) to predict acute coronary syndrome (ACS) risk. Computational fluid dynamics (CFD) provides valuable insights but is computationally intensive, prompting exploration of machine learning (ML) models for efficient hemodynamics prediction. …”
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Predictive Analysis of Structural Damage in Submerged Structures: A Case Study Approach Using Machine Learning by Alexandre Brás dos Santos, Hugo Mesquita Vasconcelos, Tiago M. R. M. Domingues, Pedro J. S. C. P. Sousa, Susana Dias, Rogério F. F. Lopes, Marco L. P. Parente, Mário Tomé, Adélio M. S. Cavadas, Pedro M. G. P. Moreira

“…This study focuses on the development of a machine learning (ML) model to elaborate on predictions of structural damage in submerged structures due to ocean states and subsequently compares it to a real-life case of a 6-month experiment with a benthic lander bearing a multitude of sensors. …”
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Anxiety in High School Adolescents by Gender: Friend Attachment, Ineffective Coping with Stress, and Gender in Predicting Anxiety by Öner Çelikkaleli, Sezai Demir

“…The second aim is to reveal whether adolescents’ ineffective coping styles with stress, friend loyalty, and gender predict trait anxiety. Materials/methods – Data were collected from a total of 531 adolescents (318 females; 213 males). …”
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Predicting prognosis using stroke-heart indicator: brain natriuretic peptide in patients with aneurysmal subarachnoid hemorrhage by Jionghao Xue, Jionghao Xue, Fa Lin, Fa Lin, Minghao Liu, Minghao Liu, Wenxiong Song, Wenxiong Song, Runting Li, Runting Li, Yu Chen, Yu Chen, Jun Yang, Jun Yang, Heze Han, Heze Han, Yitong Jia, Yitong Jia, Xiaolin Chen, Xiaolin Chen, Rong Wang, Rong Wang, Yuanli Zhao

“…Additionally, we assessed the potential impact of incorporating BNP into a predictive model for poor prognosis.ResultsThe statistical analysis encompassed a total of 932 patients. …”
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A novel framework to predict ADHD symptoms using irritability in adolescents and young adults with and without ADHD by Saeedeh Komijani, Dipak Ghosal, Manpreet K. Singh, Julie B. Schweitzer, Julie B. Schweitzer, Prerona Mukherjee, Prerona Mukherjee

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Prediction of pulmonary function decline in fibrous interstitial lung abnormalities based on quantitative chest CT parameters by Dechun Li, Yingli Sun, Zongjing Ma, Bin Chen, Liang Jin, Ming Li

“…The combined model has good predictive value. Clinical trial number 2024K249.…”
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CD34 evaluation of microvasculature in lung adenocarcinoma and its microvascular density predicts postoperative tumor recurrence by Zijian Qiu, Jiaji Wu, Guanchao Pang, Xia Xu, Jun Lin, Pingli Wang

“…Thus, the detection of intratumoral MVD is of great significance for understanding disease progression and predicting patient prognosis.MethodsTumor tissue sections of 238 patients with lung adenocarcinoma (LUAD) who underwent radical surgery were retrospectively analyzed. …”
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Prediction of Postoperative Survival in Young Colorectal Cancer Patients: A Cohort Study Based on the SEER Database by Sheng Pan, Wenchao Mei, Linfei Huang, Yan’e Tao, Jing Xu, Yuelu Ruan

“…Our aim is to make accurate and robust predictions of the risk of postoperative death in young colorectal cancer patients (18-44 years old) by combining tumor characteristics with medical and demographic information about the patient. …”
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Enhancing the Predictive Value of SII and NLR in LAA Stroke: Addressing Unexplored Limitations and Future Directions [Letter] by Zhao E, Duan Z, Li J

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Inertial Gyro Wave Energy Conversion Nonlinear Modeling and Power-Index Predictive Control for Autonomous Ship by Nailong Wu, Xinyuan Chen, Shaonan Chen, Haodong Yuan, Jie Qi, Yueying Wang

“…Secondly, considering various model constraints and physical constraints of the equipment, the energy evaluation objective function of nonlinear model predictive control (NMPC) is designed. In the simulation, the proposed control method can effectively extract electric energy from different waves.…”
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An Artificial Neural Network Model to Predict the Thermal Properties of Concrete Using Different Neurons and Activation Functions by Sehmus Fidan, Hasan Oktay, Suleyman Polat, Sarper Ozturk

“…The performance results showed that there was a great consistency between the predicted and tested results, demonstrating the feasibility and practicability of the proposed ANN models for predicting the thermal property of a concrete.…”
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Big data predictions of Seasonal Fluctuations in Marine Traffic (using AIS data) by monitoring idle ships by Liliya Mileva

“… The current article analyzes big data and makes predictions for the sea freight transport trends. It aims to support the management of sea transport, improve sea logistics services to predict trends in sea freight transport, support the management of sea transport, improve sea logistics services, and optimize the organization of transport services. …”
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An Advanced Broyden–Fletcher–Goldfarb–Shanno Algorithm for Prediction and Output-Related Fault Monitoring in Case of Outliers by Cuiping Xue, Tie Zhang, Dong Xiao

“…In the process industry, fault prediction and product-related fault monitoring are important links to ensure product quality and improve economic benefits. …”
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