Association of serum Netrin-1, NSE, and S100β with brain injury severity and prognosis in patients with sepsis-associated encephalopathy by Bo Zhang, Qiong Wu, Jing Wu

“…Independent risk factors for short-term mortality were identified, and the predictive values of these biomarkers were assessed both individually and in combination. …”
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The Influence of Working in Stone Crushing Factories on Specific Respiratory Parameters by Belal Rahhal, Raya Sinnokrot, Omar Abuzant, Samah Shahin, Amany Masalmeh, Wala Jarrar

“…The results were compared to the mean of the measured predictive values. It is concluded that working in stone-cutting factories influences the respiratory function in a negative way, and so necessitates urgent intervention to prevent health complications.…”
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EVALUATION OF THE ORNAMENTAL ASPECT ON CROCUS BASED ON FLOWERS SIZE by Maria BALA, Adina ANDRAȘ, Florin SALA

“…The fs estimation safety was quantified by evaluating the degree of fit between the true values (RFs) and the predicted values (PFs). PC1 explained 79.234% of variance, and PC2 explained 19.046% of variance in the case of the "Queen of the Blues" crocus, and in the case of Yellow crocus, PC1 explained 88.851% of variance, and PC2 explained 8.8951% of variance.…”
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Research on the deformation prediction model of surrounding rock based on SSA-VMD-GRU by Xiao Jiming, Guo Hongyan, Guo Huajun, Hu Juyi, Zhang Zhongzhe

“…Finally, a GRU neural network with memory and feedback capabilities is built to predict the displacement components separately, and superimposed reconstruction is performed to obtain the final predicted values. The proposed method is applied to the prediction of peripheral rock deformation in a tunnel and compared with the traditional model. …”
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Long-Term Exposure to Primary Traffic Pollutants and Lung Function in Children: Cross-Sectional Study and Meta-Analysis. by Francesco Barone-Adesi, Jennifer E Dent, David Dajnak, Sean Beevers, H Ross Anderson, Frank J Kelly, Derek G Cook, Peter H Whincup

“…We combined results from the meta-analysis with the distribution of the values of FEV1 in CHASE to estimate the prevalence of children with abnormal lung function (FEV1<80% of predicted value) expected under different scenarios of NO2 exposure. …”
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Prioritization for liver transplantation by V. L. Korobka, M. Y. Kostrykin, V. D. Passetchnikov, E. S. Pak

“…MELD scores and serum albumin at the time of listing were significant predictors of mortality (p = 0.001 and p = 0.004, respectively). Their predictive values were confirmed using ROC (Receiver Operating Characteristic) analysis. …”
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Leak detection characteristics of point and line sensors for foundational data in smart safety management systems by Hyeon-Ki Lee, Tae-Woong Park, Hyeong-Soo Kim, Hyeong-Joo Kim

“…Both measured and predicted values confirmed that the minimum detectable concentrations were at least 0.2 % for point sensors and at least 0.4 % for line sensors. …”
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Clinical assessment of sinonasal papillomas through a correlative Suspicion Index Scale by Aderito De Sousa Fontes, Nelson Urdaneta Lafeé

“…Correlation of endoscopic and imaging findings, based on sensitivity measures and positive predictive values, showed results of diagnostic probability and reliability with an overall average global mean of 90%. …”
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FORECASTING THE GROUNDWATER LEVEL OF CEMENT RAW MATERIALS DEPOSIT BASED ON DYNAMIC NEIGHBORHOOD MODELS by I. A. Sedykh

“…The work objectives are the identification  and  study of a  dynamic  neighborhood  model with variable hierarchical neighborhoods of the groundwater level that enables to adequately predict value of the water level in the examined wells.Materials and Methods. …”
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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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