Prediction of Influence of Environmental Factors on the Toxicity of Pentachlorophenol on <i>E. coli</i>-Based Bioassays by Sulivan Jouanneau, Gerald Thouand

“…This model was validated using a validation dataset and demonstrated a strong correlation between the experimental and predicted values (r² ≈ 0.9). Thus, this approach enables the effective prediction of PCP’s effects by accounting for environmental variations. …”
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Are NLR Rate and MPV Values Useful in Predicting Malignancy in Follicular Neoplasia, Atypia of Undetermined Significance and Suspicious Cytology? by Murat Doğan, Aykut Soyder

“…The aim of this study was to investigate the predictive values of these two parameters in detecting thyroid malignancy.Materials and Methods:Patients who were reported to have atypia of undetermined significance, follicular neoplasia and suspected cytology as a result of thyroid fine needle aspiration biopsy (FNAB) in a tertiary health care facility between January 2010 and December 2017 and who had undergone total thyroidectomy or hemithyroidectomy due to this were evaluated. …”
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Methods of creating and using a digital twin of a mobile transport and transshipment rope complex by I. A. Lagerev, V. I. Tarichko, A. V. Panfilov

“…To do this, the actual value of the load suspension point coordinate obtained through the video stream processing method was compared to the predicted value calculated using a digital twin.Discussion and Conclusions. …”
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FORECASTING VALUES OF CHROMATICITY OF DRINKING AND SOURCE WATERS USING ARIMA MODEL AND NEURAL NETWORK by D. V. Makarov, E. A. Kantor, N. A. Krasulina, A. V. Greb, Z. Z. Berezhnova

“…It was revealed that ANN allows to obtain the predicted values of colour of water more accurate than ARIMA-model.Main conclusions. …”
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Nonlinear quenching of excitonic emission from nanoplatelet films at high excitation densities by Simon Jessen, Alessio Di Giacomo, Iwan Moreels, Brian Julsgaard, Rosana M. Turtos

“…Despite this, light yield estimations based on a simulated distribution of excitation densities predict values upwards of 2000 ph/MeV, while showing ample room for improvement and the future potential of surpassing the 10 ph/MeV/ps benchmark.…”
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Deep analysis of chemically treated Jute/Kenaf and glass fiber reinforced with SiO2 nanoparticles by utilizing RSM optimization by S. Jothi Arunachalam, R. Saravanan, T. Sathish

“…Experimental results closely matched predicted values, affirming the model's accuracy. The study found that silane concentration had a significant effect on the flexural and hardness properties. …”
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An Observational Study on Pre-natal Diagnosis of Congenital Talipes Equinovarus by Gaurav Vatsa, Saurabh Suman, Siddharth Kumar Singh

“…Diagnostic accuracy metrics, including sensitivity, specificity, and predictive values, were calculated. Results: Among live births, pre-natal US identified CTEV cases, with final confirmation distinguishing structural from positional deformities. …”
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ALGORITHM FOR ASSESSING TIME AND COST RISKS AT ENTERPRISES OF THE MILITARY-INDUSTRIAL COMPLEX by N.D. Pechalin, A.G. Finogeev

“…The risk analysis algorithm solves the problems of assessing the time and cost parameters of the project task for compliance with the predicted values at an early stage of the production cycle. …”

Investigating the correlation between ultrasonic pulse velocity and compressive strength in polyurethane foam concrete by R. Roobankumar, M. SenthilPandian

“…The empirical relationships between compressive strength and UPV were found to be exponential, with high correlation values ranging from 0.9012 to 0.9998. The predicted values and the experimentally measured results were compared in order to confirm the accuracy of the empirical equations for compressive strength prediction.…”
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POWER DOPPLER IMAGING IN PATIENTS WITH SUSPECTED PROSTATE CANCER by T. V. Shatylko, L. N. Sedova, A. Yu. Korolev

“…Sensitivity of power Doppler imaging was 82.4%, specificity was 70.5%, positive and negative predictive values were 66.7% and 72.3% correspondingly. …”
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A novel XAI framework for explainable AI-ECG using generative counterfactual XAI (GCX) by Jong-Hwan Jang, Yong-Yeon Jo, Sora Kang, Jeong Min Son, Hak Seung Lee, Joon-myoung Kwon, Min Sung Lee

“…In contrast, the proposed framework explores “what-if” scenarios, generating counterfactual ECGs that increase or decrease a model’s predictive values. This approach has the potential to increase clinicians’ trust specific changes—such as increased T wave amplitude or PR interval prolongation—influence the model’s decisions. …”
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Study on cutting force in laser-assisted ultrasonic elliptical vibration machining (LUEVM) of high volume SiCp/Al composites by Peicheng Peng, Tian Tian, Heshuai Yu, Daohui Xiang, Ke Niu, Wei Gao, Yanqin Li, Zhaojie Yuan, Guofu Gao

“…The results show that the predicted value matches the experimental value well, and the maximum error is 18.2 %. …”
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A Hybrid Model Based on Ensemble Empirical Mode Decomposition and Fruit Fly Optimization Algorithm for Wind Speed Forecasting by Zongxi Qu, Kequan Zhang, Jianzhou Wang, Wenyu Zhang, Wennan Leng

“…In this model, the original wind speed data is firstly divided into a finite set of signal components by ensemble empirical mode decomposition, and then each signal is predicted by several artificial intelligence models with optimized parameters by using the fruit fly optimization algorithm and the final prediction values were obtained by reconstructing the refined series. …”
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Optimizing Concrete Mix Design for Cost and Carbon Reduction Using Machine Learning by Angga T. Yudhistira, Arief S. B. Nugroho, Iman Satyarno, Tantri N. Handayani, Malindu Sandanayake, Rimba Erlangga, Jonathan Lianto, Alfa Rosyid Ernanto

“…The research findings indicate that the ML model provides satisfactory prediction values with an R2 value of 0.9043, root mean square error of 48.5147 and mean absolute percentage error of 0.0484. …”
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Methodology Based on BERT (Bidirectional Encoder Representations from Transformers) to Improve Solar Irradiance Prediction of Deep Learning Models Trained with Time Series of Spati... by Llinet Benavides-Cesar, Miguel-Ángel Manso-Callejo, Calimanut-Ionut Cira

“…In this study, we propose a novel end-to-end methodology for solar irradiance forecasting that starts with the search for the data and all of the preprocessing operations involved in obtaining a quality dataset, continuing by imputing missing data with the BERT (Bidirectional Encoder Representations from Transformers) model, and ending with obtaining and evaluating the predicted values. This novel methodology is based on three phases; namely, Phase_1, related to the acquisition and preparation of the data, Phase_2, related to the proposed imputation with a BERT model, and Phase_3, related to the training and prediction with new models based on deep learning. …”
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ST-GAT Resident OD Prediction Model Based on Mobile Signaling Data by Xianguang Jia, Weijie Fang, Yingying Lyu, Jinke Zhang, Mengyi Guo, Dong Li, Jie Qu, Fengxiang Guo

“…In this paper, this model is compared with the existing ST-GCN, DMS, GMM, PSAM-CNN, ST-Transformer, and COMD models, and the experimental results show that the predicted values of the ST-GAT model have a significant improvement in the prediction accuracy compared to other models. …”
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Investigating Engine Performance and Emission Characteristics during Testing of Diesel-Biodiesel Mixed Fuels Obtained from Vegetable Oils and their Modeling by S. R. Mousavi Seyedi, M. Askari, S. M. R. Miri

“…However, ANFIS demonstrated a much higher correlation between actual and predicted values, with R² exceeding 0.98 for both performance parameters and emissions, compared to R² values below 0.47 for linear regression and below 0.92 for non-linear regression. …”
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Assessment of pulmonary embolism probability using a machine learning model by D. V. Gavrilov, A. E. Andreichenko, A. D. Ermak, T. Yu. Kuznetsova, A. V. Gusev

“…The following signs had the greatest prediction value: cough, respiratory disorders, blood creatinine, body temperature, general weakness, heart rate, respiratory rate, edema, antihypertensive therapy, saturation and age.Conclusion. …”
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Experiment of Pullout Expansion Anchor in Installation Cast in Place and Post Installed with Concrete Breakout Failure by Amirul Huda, Henry Apriyatno

“…The result of the study is the predicted value of the anchor pullout capacity with the failure of concrete breakout due to the theoretical pullout, namely 42,223 N, anchor pullout test results with cast in place method of 40,574 N and post installed method by 37,494 N. …”
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Financial Interrelations of scenario Indicators of budget Forecasting with Indicators of the Federal budget of Russia by M. E. Kosov, E. K. Voronkova, A. Yu. Chalova

“…The study is based on an abstract-logical method, including a critical analysis of the predictive values of macro-indicators adopted as the basis for the parameters of the federal budget of the Russian Federation in 2023 and the planned period of 2024 and 2025 (using the level of consumer prices and the exchange rate of the ruble as an example), establishing causal relationships between the reliability of projected budget parameters at the federal level and the state of the Russian economy, identifying possible directions for the development of approaches to forecasting initial indicators for the preparation of the federal budget. …”
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