Prediction of polar motion and UT1-UTC based on the hybrid EEMD_LSTM model by Chenxiang Wang, Pengfei Zhang, Wenbin Shen, Jiayao Wang

“…Then, comparing the prediction values of EEMD_LSTM with the least square and autoregressive (LS_AR) model, and International Earth Rotation and Reference Systems Service (IERS) Bulletin A. …”
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Evaluation of Diagnostic Value in Using a Panel of Multiple Tumor-Associated Antigens for Immunodiagnosis of Cancer by Peng Wang, Chunhua Song, Weihong Xie, Hua Ye, Kaijuan Wang, Liping Dai, Yi Zhang, Jianying Zhang

“…In different types of cancer, the ranges of positive and negative likelihood ratio were 4.07–4.76 and 0.39–0.51, respectively, and the ranges of positive and negative predictive values were 74.2–88.7% and 58.8–75.8%, respectively. …”
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Validity and reliability of a smartphone-based photographic method for detection of dental caries in adults for use in teledentistry by Victor F. Lamas-Lara, Victor F. Lamas-Lara, Manuel A. Mattos-Vela, Teresa A. Evaristo-Chiyong, Maria Eugenia Guerrero, Juan F. Jiménez-Yano, Dora N. Gómez-Meza

“…For the data analysis, Cohen's kappa index was determined for interexaminer reliability; sensitivity, specificity, and positive and negative predictive values were obtained.ResultsOverall, high sensitivity: 90.19% [Interquartile 95% (CI): 88.23–92.16]; and specificity: 95.15% (95% CI: 93.83–96.47). …”
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A Lightweight Transformer-Based Spatiotemporal Analysis Prediction Algorithm for High-Dimensional Meteorological Data by Yinghao Tan, Junfeng Wu, Yihang Liu, Shiyu Shen, Xia Xu, Bin Pan

“…Furthermore, SA-Fit introduces explicit functions with a lasso penalty to fit variations in high-dimensional meteorological data, achieving the prediction of a large amount of data with minimal prediction values. We performed experiments using the ERA5 dataset from the Shanghai and Xi’an regions. …”
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Ultrasound-Assisted Extraction of Phenolic Compounds from Moroccan Lavandula stoechas L.: Optimization Using Response Surface Methodology by Yassine Ez zoubi, Mouhcine Fadil, Dalila Bousta, Abdelhakim El Ouali Lalami, Mohammed Lachkar, Abdellah Farah

“…The experimental values of the yield and the total concentration of the polyphenols were in good agreement with the predicted values, which suggests that the ultrasonic extraction model adopted in this study is validated.…”
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PD-L1 on Circulating Tumor Cells Indicates Poor Prognosis in Breast Cancer by Xue-fei Wang, Guo-chao Zhang, Sha-fei Wu, Jia-xin Li, Qiang Sun

“…Besides, the best cell type for determining the prognostic and predictive values of PD-L1 has not been established. This study investigated associations between PD-L1 on tumor cells (TCs), CTCs, and tumor-infiltrating immune cells (TIICs), respectively, and prognosis and clinicopathological features in breast cancer. …”
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Optimization of Enzymatic Hydrolysis Process and Characterization of ACE Inhibitory Peptide from Squid Skin by Zhe ZHANG, Lingyun MA, Fanfan SHANG, Yihui LIU, Qingchao XIE, Yong ZHAO

“…Under these parameters, the ACE inhibitory rate of the hydrolyzed squid skin product reached 88.22%±1.28%, closely with the predicted value. The IC50 for the ACE inhibitory rate of the squid skin peptides was calculated to be 2.839 mg/mL, with a molecular weight distribution predominantly below 3 kDa, accounting for 93.68% of the total. …”
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Development of a Nomogram Model to Predict Mortality in ANCA‐Associated Vasculitis Patients With Pulmonary Involvement by Qifang Guo, Yijia Shao, Le Yu, Xiuling Zhang, Jingjing Shang, Xueqin Feng, Wei Zhou, Xinwang Duan

“…In the final predictive model for death, four clinical variables were included: age at baseline, history of tumors, baseline hemoglobin level, and the level of the percentage of forced vital capacity to the normal predicted value. One‐, two‐, and three‐year AAV patients with pulmonary involvement mortality probability‐predictive nomogram were established. …”
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Comparative assessment of sarcopenia screening tools for patients with bone tumors: insights for enhanced clinical application by Jun Yu, Jun Yu, Qiongyao Guan, Yanyu Chen, Lan Zhou, Jian Chen, Yingchun Zeng

“…Positive and negative predictive values were moderate across tools, with combined screening methods generally improving sensitivity. …”
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Quantitative Analysis of Structural Parameters Importance of Helical Temperature Microfiber Sensor by Artificial Neural Network by Juan Liu, Minghui Chen, Hang Yu, Jinjin Han, Hongyi Jia, Zhili Lin, Zhijun Wu, Jixiong Pu, Xining Zhang, Hao Dai

“…Compared with the actual values, the root-mean-square error (RMSE) and the correlation coefficient of the predicted values are 9.7 <inline-formula> <tex-math notation="LaTeX">$\times \,\,10^{-3}$ </tex-math></inline-formula> dB and 99.84&#x0025;, respectively. …”
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Prediction and verification of thin liquid film thickness on salt-deposited copper surface in an atmospheric hygrothermal environment by Rongdie Zhu, Binxia Ma, Hongbin Zhang, Zhihao Qu, Jinyang Zhu

“…Validation by comparing measured and predicted values under typical conditions for liquid film thickness showed that the machine learning-based prediction error was approximately 9.7%. …”
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Dynamic Heart Rate Variability Vector and Premature Ventricular Contractions Patterns in Adult Hemodialysis Patients: A 48 h Risk Exploration by Gabriel Vega-Martínez, Francisco José Ramos-Becerril, Josefina Gutiérrez-Martínez, Arturo Vera-Hernández, Carlos Alvarado-Serrano, Lorenzo Leija-Salas

“…R-wave and PVC identification resulted in 97.53% and 85.83% positive predictive values, respectively. PVCs’ prevalence and HRV changes’ relationship in 48 h records could relate to cardiovascular risk. …”
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Cosmiatry: An analysis of the Brazilian market by Bartolomeu Antonio Nascimento, Flávio José Teixeira Rocha Ataíde da Motta, Fernanda Augusta Siqueira-Campos Ferreira da Silva, Fábio Dias-Neves, Guilherme Torreão, Rafael Anlicoara

“…Searches on Google Maps® were conducted using key terms, and telephone interviews were conducted to obtain information on professional categories, types of providers, and services offered. Positive predictive values were obtained for all search strategies and used to estimate the total number of providers. …”
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Monitoring of CO2 Absorption Solvent in Natural Gas Process Using Fourier Transform Near-Infrared Spectrometry by Mohd Yusop Nurida, Dolmat Norfadilah, Mohd Rozaiddin Siti Aishah, Chan Zhe Phak, Syafiqa M. Saleh

“…The statistical evaluation of the validation samples also confirmed that the difference between the actual value and the predicted value from the calibration model was not significantly different and acceptable. …”
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A Genetic-Algorithms Matrix-Factorization-Based Recommender System Model Using Tags by Manal Almaayah, Yousef Kilani, Ayoub Alsarhan, Mohammad Aljaidi, Mohammed Alshammari, Aadil Alshammari

“…As far as we know, we have not found in the literature any similar work that applies the evolutionary algorithm and the tag-based MF techniques to predict values for the unknown items. Experimentally, we use Movielens dataset, and we show that ETagMF achieves good results. …”
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QCI-WSC: Estimation and prediction of QoS confidence interval for web service composition based on Bootstrap by Li Qinying, Lu Wei, Li Fangli, Wang Taotao, Wang Hao

“…Finally, the results of user-invoked web service composition QoS are verified by the average interval coverage rate, compared to the actual QoS values and prediction values of the other methods, such as adaptive QoS prediction method based on collaborative filtering (QACF) and QoS-Aware web service recommendation (WSRec). …”
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Flow Accelerated Corrosion Prediction in High Pressure Economizer of a Heat Recovery Steam Generator by Phuris Khunphakdee, Kiattikhoon Phuakpunk, Benjapon Chalermsinsuwan

“…Predicted rates and measured rates agreed, although some predicted values were overestimated. The distributions of predicted FAC rates matched the tubes thickness distributions. …”
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Acoustic signatures of bulbar ALS: Predictive modeling with sustained vowels and LightGBM by Zahra Farrokhi, Seyed Amirali Zakavi, Arian Sarafraz, Maryam Valifard, Salar Yousefzadeh, Zahra Mashhadi Tafreshi, Omid Anbiyaee, Navid Rostami, Mahsa Asadi Anar, Niloofar Deravi

“…But the multimodal nature of the predictive values indicated some flaws in generalization. …”
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How Accurately Can Urologists Predict Eligible Patients for Immediate Postoperative Intravesical Chemotherapy in Bladder Cancer? by Hüseyin Alperen Yıldız, Müslim Doğan Değer, Güven Aslan

“…Positive and negative predictive values were also calculated for both groups. …”
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Multimodal ultrasound deep learning to detect fibrosis in early chronic kidney disease by Xiachuan Qin, Xiaoling Liu, Linlin Xia, Qi Luo, Chaoxue Zhang

“…The accuracy, specificity, and sensitivity of the multimodal US DL model were 0.779, 0.767, and 0.796, respectively, and the negative and positive predictive values were 0.842 and 0.706, respectively. The AUC of the multimodal US DL model was significantly better than that of the single-mode DL and clinical models. …”
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