Predicting models for work outcomes in patients with schizophrenia and its clinical application by Chika Sumiyoshi, Satsuki Ito, Junya Matsumoto, Hidenaga Yamamori, Michiko Fujimoto, Yuka Yasuda, Tomiki Sumiyoshi, Ryota Hashimoto

“…Abstract Negative symptoms and social function have been known to predict work outcomes in patients with schizophrenia. …”
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Bridging Analytical Models and Cfd: Advancing Ammonia Spill Dispersion Predictions by Filippo De Rosa, Pablo Giacopinelli, Felicia Tan, Alexandre Lebas, Christophe Mabilat

“…To address this gap, this study presents a novel modelling approach to predict accurately ammonia behaviour during accidental releases. …”
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Review and Evaluation of Slip-ratio-based Void Fraction Prediction Models by HE Wen, HAN Jinyu, ZHAO Chenru, LI Yanlin, BO Hanliang

“…The gas phase content is relatively low, and the velocities of two phases may be unevenly distributed on the cross-section of the channel, resulting in the low accuracy of the slip-ratio-based models. Thus, slip-ratio-based models are not recommended in this range to predict the void fraction. …”

Accuracy and precision in DM intake prediction models for lactating dairy cows by N. Mehaba, S. Schrade, L. Eggerschwiler, F. Dohme-Meier, P. Schlegel

“…Finally, the 30-year old Agroscope model emerged as the most accurate and precise in predicting DMI in lactating dairy cows fed a diet consisting of 90–95% of a mixed basal diet (dry and ensiled herbage and corn silage) and of 5–10% concentrates (DM basis).…”
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Transformative Movie Discovery: Large Language Models for Recommendation and Genre Prediction by Subham Raj, Anurag Sharma, Sriparna Saha, Brijraj Singh, Niranjan Pedanekar

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Application of Machine Learning Models to Multi-Parameter Maximum Magnitude Prediction by Jingye Zhang, Ke Sun, Xiaoming Han, Ning Mao

“…Magnitude prediction is a key focus in earthquake science research, and using machine learning models to analyze seismic data, identify pre-seismic anomalies, and improve prediction accuracy is of great scientific and practical significance. …”
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Predicting the Quality of Pasteurized Vegetables Using Kinetic Models: A Review by Muhammad Aamir, Mahmoudreza Ovissipour, Shyam S. Sablani, Barbara Rasco

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Comparative Analysis of LSTM and GRU Models for Ethereum (ETH) Price Prediction by Moch Panji Agung Saputra, Riza Andrian Ibrahim, Renda Sandi Saputra

“…Although various studies have compared the performance of Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) in predicting financial asset prices, there are still differences in results regarding which model is superior. …”
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Analysis of Empirical Models for Predicting the Rupture Force in Four-Pile Caps by Raphael Saverio Spozito, André Luis Christoforo, Fernando Menezes de Almeida Filho, Rodrigo Gustavo Delalibera, Elvys Dias Reis, André Luís Lima Velame Branco

“…These experimental records are frequently utilized to evaluate analytical models focusing on less conservative than normative models to predict rupture force. …”
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Application Of Machine Learning Models To Predict Warping Of Plastic Automotive Parts by Evandro Menezes de Souza Amarante, João Paulo Rios Brandão de Oliveira, Pedro Guilherme Carvalho de Souza Marconi, Armando Sá Ribeiro Júnior

“…The results indicated that the regression models developed for predicting warpage performed better with the ABS data. …”
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Predictability of water resources with global climate models. Case of Northern Tunisia by Besbes, Mustapha, Chahed, Jamel

“…The results show that the use of raw GCMs predictions on large basins is possible and provides precisions comparable to what is produced when using Regional Climate Models in medium size basins.…”
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Performance Comparison of Multiple Discriminant Analysis and Logit Models in Bankruptcy Prediction by Matúš Mihalovič

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Accurate Conditional Variance Models for Predicting Asymmetric Volatility in Cryptocurrency Markets by Onur Çelebi, Erhan Demireli

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Systematic review of 99 extremity bone malignancy survival prediction models by Cheng-Yo Lai, Hung-Kuan Yen, Hao-Chen Lin, Olivier Quinten Groot, Wei-Hsin Lin, Hao-Ping Hsu

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Deciphering the Mechanism of Better Predictions of Regional LSTM Models in Ungauged Basins by Qiang Yu, Liguang Jiang, Raphael Schneider, Yi Zheng, Junguo Liu

“…The long short‐term memory (LSTM) model has gained popularity in rainfall‐runoff prediction in recent years and has proven applicable in PUB. …”
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Development of Machine Learning Models for Sandface Pressure Prediction in Oil Well by Lorraine P. Oliveira, Raul M. Foronda, Alexandre V. Grillo, Brunno F. dos Santos

“…4, demonstrating that RTA data effectively supports BHP prediction and that DT models are well-suited for this application. …”
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Prediction models for scour depth around circular compound bridge piers by Siva Krishna Reddy, Venu Chandra

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Fair and Transparent Student Admission Prediction Using Machine Learning Models by George Raftopoulos, Gregory Davrazos, Sotiris Kotsiantis

“…This paper explores the development and evaluation of machine learning models designed to predict student admissions while prioritizing fairness and interpretability. …”
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Clinical risk prediction models: the canary in the coalmine for artificial intelligence in healthcare? by John Ainsworth, Videha Sharma, Angela Davies

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Machine Learning‐Based Models for Intracerebral Hemorrhage In‐Hospital Mortality Prediction by Abdulaziz T. Bako, Farhaan S. Vahidy

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