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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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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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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The Choice of Funding Sources for Start-Ups in a Transitional Economy: The Ability to Predict in a National Context  by Olga Obraztsova, Tatiana Poliakova, Ekaterina Popovskaya

“…Hypotheses were tested on a survey sample of early entrepreneurs from seven transitional economies, including Russia. The predictive values of the final models proved to be effective in predicting start-ups’ financial strategies and in comparing the probability of early entrepreneurs borrowing capital. …”
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Suggested New Statistical Parameter for Estimating Joint Roughness Coefficient considering the Shear Direction by Zhiqiang Zhang, Jiuyang Huan, Ning Li, Mingming He

“…The deviation between the predicted value calculated by Sa and the true value was smaller than that obtained from the existing statistical parameters. …”
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Diagnostic accuracy evaluation of a point-of-care antigen test for SARS-CoV-2 and influenza in UK primary care (RAPTOR-C19). by Thomas R Fanshawe, Sharon Tonner, Philip J Turner, Margaret Głogowska, Umasha Ukwatte, Cecilia Okusi, Jade Cogdale, Maria Zambon, Brian D Nicholson, F D Richard Hobbs, Gail N Hayward, RAPTOR-C19 Study Group

“…<h4>Primary and secondary outcome measures</h4>Sensitivity, specificity and predictive values, compared to a laboratory reference standard of real-time reverse transcription PCR, using samples collected using a combined nasal and oropharyngeal swab.…”
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Prediction Model of Powdery Mildew Disease Index in Rubber Trees Based on Machine Learning by Jiazheng Zhu, Xize Huang, Xiaoyu Liang, Meng Wang, Yu Zhang

“…Each model effectively simulates the progression of powdery mildew in rubber trees, with predicted values closely aligning with observed data. Among the models, the Kernel Ridge Regression (KRR) model demonstrates the highest accuracy, the R² values for the training set and test set were 0.978 and 0.964, respectively, while the RMSE values were 4.037 and 4.926, respectively. …”
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Аdaptive combined image coding with prediction of arithmetic code volume by B J.S Sadiq, V. Yu. Tsviatkou, М. N. Bobov

“…To adapt the structure of the combined encoder to the distribution of bits in the bit planes of DPCM pixel values, the article proposes to use prediction of the volume of arithmetic code based on entropy and comparison of the obtained predicted value with the volume of run length code. The entropy is calculated based on the values of the number of repetitions of ones and zero symbols, which are obtained as intermediate results of the run length encoding. …”
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Tumor-associated tissue eosinophilia in preinvasive and invasive squamous cell carcinoma of cervix by Radhika C Sasturkar, Ramesh BH, Sunita Nyamagoudar, Sateesh S Jigjini

“…Greater than 5 eosinophils/HPF and >10 eosinophils/10 HPF had sensitivity, specificity, and positive predictive values of 55%, 100%, 100%, and 75%, 100%and 100%, respectively. …”
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