Predictive Significance of Oxygen Transport Values for Assessment of Aqueous Sectors in Severe Concomitant Injury by T. A. Pavlova, Ye. V. Grigoryev, Ye. A. Kameneva

“…The diagnostic and predictive values of determination of the cardiac index have been ascertained by the Tishchenko tetrapolar rheovasography in patients with SCI. …”
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Impact of the COVID-19 pandemic on the conduct of clinical trials: a quantitative analysis by Wojciech Margas, Piotr Wojciechowski, Mondher Toumi

“…A time series model was fitted to the data for studies ongoing, initiated, or ended between 2007 Quarter (Q) 1 and 2019 Q4 to predict the expected trials number in 2020 in the COVID-19 absence. The predicted values were compared with the actual 2020 data to quantify the pandemic impact.Results The ongoing registered trials number grew from 2007 Q1 (33,739) to 2019 Q4 (80,319). …”
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Evaluation of Short-Term Use of Positive and Oscillating Positive Expiratory Pressure in Bronchial Drainage in Cystic Fibrosis Patients During an Exacerbation of The Disease by Jarosław Prusak, Katarzyna Warzeszak, Piotr Kurzeja

“…In the study group, a 4-day bronchial drainage cycle was used.Results: The FEV1 indicator for the whole group was 55.623% of the predicted value, and the size of the improvement, similarly to FVC and MEF25, was statistically significant (p<0.001). …”
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Calculating the Power of Toric Intraocular Lens using Total Corneal Astigmatism Measured by a Swept-Source Optical Coherence Tomography-Based Device: An Observation which Changed o... by Sanjay Chaudhary, Alka Pandey, Anju Sharma, Rahil Chaudhary, Hema Mehra, Nishtha Khurana, Divya Vermani, Ritu Nagpal

“…At present, majority of surgeons rely on the “measured” values of anterior corneal astigmatism and “predicted” values of posterior corneal astigmatism to calculate the final IOL power and the axis of the toric IOL. …”
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Time Series Forecasting Based on Temporal Networks Evolution and Dynamic Constraints by Yunlong Peng, Han Li, Xu Han

“…A loss function is constructed by integrating the ability of weighted temporal networks to reconstruct the original time series data and visibility-based constraint features, enabling the computation of predicted values for next time step. The proposed method achieves prediction considering global topological characteristics of temporal networks during the forecasting process. …”
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Nasal microbiota predictors for methicillin resistant Staphylococcus colonization in critically ill children. by Kathleen Zani, Joseph Hobeika, Yilun Sun, Christina Kohler, Anju Cherian, Trinity Fields, Qidong Jia, Li Tang, Nicholas D Hysmith, Elisa B Margolis

“…Anterior nares nasal swabs processed for MRSA culture, nasal microbiome and mecA+ qPCR were obtained within first five days after PICU admission. Predictive values of methicillin-resistant Staphylococcus carriage on symptoms of infection and for nasal microbiome attributes were calculated.…”
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Metal commodity futures price forecasting based on a hybrid secondary decomposition error-corrected model by Yuetong Zhang, Ying Peng, Yuping Song

“…Abstract Although the existing hybrid model based on decomposition can improve the prediction performance for financial data, it ignores the effective information of the error between the real value and the predicted value. In order to explore the value information of prediction errors, this paper constructs a hybrid secondary decomposition error-corrected model for four commodities prices such as gold, aluminum, whorl, and iron mine in the metal futures market. …”
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Effects of Polypropylene Waste Addition as Coarse Aggregates in Concrete: Experimental Characterization and Statistical Analysis by D. C. Naveen, K. Naresh, B. S. Keerthi Gowda, Madhu Sudana Reddy G, C. Durga Prasad, Ragavanantham Shanmugam

“…A good correlation was obtained between the experimental and predicted values with an error (%) of less than 10. The decrease in mechanical properties with the increase in replacement levels of coarse aggregates in concrete was observed in both experimental and predicted approaches. …”
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Optimization of solvent evaporation method in liposomal nanocarriers loaded‐garlic essential oil (Allium sativum): Based on the encapsulation efficiency, antioxidant capacity, and... by Salar Ali Ahmed, Mahmood Fadhil Saleem, Hamed Hassanzadeh

“…The overall optimum conditions were determined by response surface methodology (RSM) as the predicted values of the studied factors (sonication time: 18.99 min, CHLR: 0.59 and content of GEO: 0.3 g/100 g) based on obtaining the highest stability and efficiency as well as strongest antioxidant and antimicrobial activity.…”
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Artificial intelligence-based multimodal model for the identification of ulcerative colitis with concomitant cytomegalovirus colitis by Haozheng Liang, Yuxuan Tian, Gechong Ruan, Xiaoyin Bai, Wei Han, Xiangling Fu, Yuhang Wang, Jialin Shi, Yinghao Sun, Ji Wu, Chenyi Guo, Hong Yang

“…Model performance was evaluated using accuracy, sensitivity, specificity, positive and negative predictive values from the confusion matrix. Results: UC patients with CMV colitis had distinct clinical characteristics. …”
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The Mid-Term Forecast Method of F10.7 Based on Extreme Ultraviolet Images by L. Lei, Q. Zhong, J. Wang, L. Shi, S. Liu

“…Compared to the predictive values of F10.7 by the 54th-order autoregressive models in 2012-2013, the error drop-rate of our model is 12.54%, and our method has significant advantages in the upcoming 3 to 27 days’ forecast.…”
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Integrate long short-term memory networks and support vector machine for Wi-Fi indoor intrusion detection by Wang Changhao, Zhang Yixiang, Zhang Qiang, Hao Jiayao

“…To address the potential effects caused by the complex amplitude and phase variations of current detection methods, this paper proposes a new method for indoor intrusion detection (LSID: Long Short-Term Memory and Support Vector Machine Intrusion Detection) that fuses long short-term memory networks and support vector machines.The LSID method adopts a new eigenvalue modeling approach, which utilizes a long short-term memory network that can learn the temporal features and can capture the long-term dependencies of temporal signals, the difference between the true value of the channel state information and the predicted value of the long short-term memory neural network is used as the eigenvalue, which can more accurately capture the intruder's influence on the signal state information. …”
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A Diagnostic Dilemma for the Pediatrician: Radiolucent Tracheobronchial Foreign Body by Hakan Taşkınlar, Gökhan Berktuğ Bahadır, Cankat Erdoğan, Doğakan Yiğit, Dinçer Avlan, Ali Naycı

“…Sensitivity, specificity, positive and negative predictive values of clinical history, physical examinations, and radiological findings were evaluated. …”
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Determination of osmotic resistance of erythrocytes using flow cytometry in patients with hereditary spherocytosis by E. F. Mitsura, Zh. N. Pugacheva, L. I. Volkova

“…Diagnostic sensitivity of the test is 93.9 %, specificity 83.3 %, positive and negative predictive values 86.1 and 92.6 %, respectively. It was found that the method with proposed reference intervals allows evaluating the osmotic resistance of erythrocytes fast and objectively, and can be used for differential diagnosis in hereditary spherocytosis.…”
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Effectiveness of two rapid influenza tests in comparison to reverse transcription-PCR for influenza A diagnosis by Ramón Zazueta-García, Adrian Canizalez-Roman, Hector Flores-Villaseñor, Javier Martínez-Garcia, Alejandro Llausas-Vargas, Nidia León-Sicairos

“…Results: The sensitivity, specificity, and positive and negative predictive values obtained for the DFA were 68.97%, 76.63%, 75.47%, and 70%, respectively, while the values obtained for the immunochromatographic assay were 58.62%, 81.82%, 77.27%, and 65.22%, respectively. …”
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Urea application to improve the efficiency of hydrochloric acid treatments of carbonate reservoirs by Roman A. Vaganov, Vladimir A. Zhigarev, Svetlana S. Kositsyna, Daniil D. Chernykh

“…They assessed the expected effect from the use of urea in hydrochloric acid treatments of carbonate reservoirs and the predicted values of the increase in oil production after hydrochloric acid treatments with urea. …”
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Estimation of micro-extraction process hippuric acid for toluene exposure monitoring in urine samples by Behnaz Sarani, Mashaallah Rahmani, Ahmad Reza Abbasian

“…The suggested model showed strong validation, evidenced by adjusted R² = 0.9888, high recovery rates, low error in confirmation runs (1.37–2.09%), and consistent predicted values. The model demonstrated satisfactory recovery rates, emphasizing its potential for analyzing urine samples as an indicator of toluene exposure. …”
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A Hybrid Nondominant-Based Genetic Algorithm (NSGA-II) for Multiobjective Optimization to Minimize Vibration Amplitude in the End Milling Process by Mahesh Gopal, Endalkachew Mosisa Gutema, Hirpa G. Lemu, Jaleta Sori

“…Using a Pareto-optimal technique, the optimum worktable vibration ranged from 0.00284 to 0.00165 mm/s2, whereas the spindle vibration ranged from 0.02404 to 0.01336 mm/s2. The predicted values were found to be in an excellent argument when Pareto-optimal solutions are used.…”
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Role of BioCard Mycoplasma Immunoglobulin M Rapid Test in the Diagnosis of Mycoplasma pneumoniae Infection by Ta-Yu Liu, Hong-Ren Yu, Wei-Ju Lee, Chih-Min Tsai, Kuang-Che Kuo, Chih-Hao Chang, Yu-Tsun Su, Sui-Ching Wang, Chen-Kuang Niu, Kai-Sheng Hsieh

“…The positive and negative predictive values were 100% (51/51) and 34.04% (16/47), respectively. …”
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ALKALI EXTRACTION OF POLYSACCHARIDES FROM PROSO MILLET AND ANTIOXIDANT ACTIVITY by AI S. ZHU, MAO Q. XU, JUN Z. ZHAO

“…The results showed that the optimum conditions were alkali concentration 0.87 mol‧L-1, liquid-solid ratio 23.1:1 mL‧g-1, extraction time 1.61 h and extraction temperature 77.7 °C, at this condition combination, the experimental yield of polysaccharides was 38.27 ± 0.35 mg‧g-1, which was very close to the model predicted value of 36.12 mg‧g-1. The quadratic polynomial mathematical model had a good degree of fitting with experimental data (p < 0.0001) and could there out indicate the optimal extraction process conditions. …”
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