The Potential Role of Surprisal in Predicting Pronunciation Problems in L2 English Phonology by Monika Pukli

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Predictive and Prognostic Value of sPRR in Patients with Primary Epithelial Ovarian Cancer by Katrin Kreienbring, Annika Franz, Rolf Richter, Duska Dragun, Harald Heidecke, Ralf Dechend, Dominik N. Muller, Jalid Sehouli, Elena I. Braicu

“…Conclusion. sPRR seems to have no predictive, prognostic, or diagnostic value in EOC. …”
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Time Effort Prediction Of Agile Software Development Using Machine Learning Techniques by Muchamad Bachram Shidiq, Windu Gata, Sigit Kurniawan, Dedi Dwi Saputra, Supriadi Panggabean

“…For this reason, this research aims to predict the time effort of agile software development using Machine Learning techniques, namely the Decision Tree, Random Forest, Gradient Boosting, and AdaBoost algorithms, as well as the use of feature selection in the form of RRelieff and Principal Component Analysis (PCA) to improve prediction accuracy. …”
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Prediction of Grade Classification of Rock Burst Based on PCA-SSA-PNN Architecture by Zhenyi Wang, Yalei Wang, Xiaoliang Jin

“…It shows that the predictions from the multi-index rock burst prediction methods are closer to the actual rock burst grades than that from the single-index rock burst prediction methods; compared with other multi-index rock burst prediction methods, the prediction accuracy of PCA-SSA-PNN is greater (up to 90%) and more available in the prediction of rock burst grades. …”
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Chest CT Scan Features to Predict COVID-19 Patients’ Outcome and Survival by Mohammad-Mehdi Mehrabi Nejad, Aminreza Abkhoo, Faeze Salahshour, Mohammadreza Salehi, Masoumeh Gity, Hamidreza Komaki, Shahriar Kolahi

“…Purpose. To assess the predictive value of on-admission chest CT characteristics to estimate COVID-19 patients’ outcome and survival time. …”
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High expression of SHP2 predicts a promising prognosis in colorectal cancer by Xibo Liu, Mengyao Li, Lirong Chen, Fei Wen, Shu Zheng, Weiting Ge

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Cross-project software defect prediction based on the reduction and hybridization of software metrics by Ahmed Abdu, Zhengjun Zhai, Hakim A. Abdo, Sungon Lee, Mohammed A. Al-masni, Yeong Hyeon Gu, Redhwan Algabri

Subjects: “…Cross-project defect prediction…”
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Characterization of genomic profiling of Mexican women with breast cancer using EndoPredict by Diana Carolina Correa Sandoval, Jose Luis Guzman Murguia, Diego Alberto Guajardo Nieto

“…Methods: Employing the EndoPredict test for genomic analysis, our retrospective, cross-sectional study explores correlations between genomic expression and immunohistochemistry (IHC). …”
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Pore Pressure Prediction of an Oil-Field in Part of the Niger Delta Basin, Nigeria by F.I. Chiazor, F.T. Beka

“… In this study, overpressure prediction was carried out for ten oil wells in a selected oil-field in part of the Niger Delta basin, Nigeria. …”
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Model for predicting metabolic activity in athletes based on biochemical blood test analysis by Victoria A. Zaborova, Evgenii I. Balakin, Ksenia A. Yurku, Olga E. Aprishko, Vasiliy I. Pustovoyt

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Predicting amyloid proteins using attention-based long short-term memory by Zhuowen Li

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Machine learning based prediction models for the prognosis of COVID-19 patients with DKA by Zhongyuan Xiang, Jingyi Hu, Shengfang Bu, Jin Ding, Xi Chen, Ziyang Li

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Division-selection transfer learning for prediction based dynamic multi-objective optimization by Hongye Li, Fan Liang, Yulu Liu, Quanheng Zheng, Kunru Guo

“…Specifically, individuals with high Spearman correlation are relatively stable in different environments, selecting them to train the Support Vector Regression (SVR) model ensures a more accurate capture of solution features, predicting the objective values of historical solutions based on the model, and thus divide historical solutions into elite and non-elite solutions. …”
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Simplified Analytical Method for Predicting the Lateral Ground Displacements due to Shield Tunnelling by Lianwei Sun, Zhong-chao Li, Rong-zhu Liang

“…., New Austrian tunnelling and open shield excavation), which cannot predict the lateral ground movement due to shield tunnelling. …”
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Atmospheric dispersion model to predict the impact of gaseous pollutant in an industrial and mining cluster by D.S. Kumar, S.H. Bhushan, D.A. Kishore

“…The maximum cumulative predicted value of SO2 is 6.99 µg/m3 and NO2 is 15.98 µg/m3. …”
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Predictive Factors for a Long Hospital Stay in Patients Undergoing Laparoscopic Cholecystectomy by Wasana Ko-iam, Trichak Sandhu, Sahattaya Paiboonworachat, Paisal Pongchairerks, Anon Chotirosniramit, Narain Chotirosniramit, Kamtone Chandacham, Tidarat Jirapongcharoenlap, Sunhawit Junrungsee

“…Using multivariable analysis, ten independent predictive factors were identified for a long hospital stay. …”
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Assessing and predicting the value of ecosystem services in Sanya City, Hainan Island, China by Peihong Song, Qiu Yang, Wenyin Wu, Tianyan Su, Yamin Jiang, Jingli Lu, Zhongyi Sun, Jie Zhang, Rui Yu, Peng Wang, Lan Wu, Huai Yang, Wenjie Liu

“…Additionally, the Future land-use simulation (FLUS) model was employed to predict land-use changes in 2030 under five different scenarios. …”
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Spatio-temporal risk prediction of leptospirosis: A machine-learning-based approach. by Rodrigue Govan, Romane Scherrer, Baptiste Fougeron, Christine Laporte-Magoni, Roman Thibeaux, Pierre Genthon, Philippe Fournier-Viger, Cyrille Goarant, Nazha Selmaoui-Folcher

“…The strategy achieved a concordance metric of 83.29%, indicating a strong ability to predict the presence of contamination risk, with a sensitivity of 83.93%. …”
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Driver Takeover Performance Prediction Based on LSTM-BiLSTM-ATTENTION Model by Lijie Chen, Daofei Li, Tao Wang, Jun Chen, Quan Yuan

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Prediction of Strength and Quality Control of Monolithic Concrete Laying in Structures with Permanent Formwork by D. N. Korotkih, D. Е. Kapustin

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