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6781
FABP6 Expression Correlates with Immune Infiltration and Immunogenicity in Colorectal Cancer Cells
Published 2022-01-01“…In addition, the constructed model effectively predicted the survival of CRC patients treated with and without immunotherapy. …”
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6782
Meteorological Issues and Technological Progress in the Development of New Energy Systems
Published 2025-01-01“…Developing meteorological forecast correction and power prediction models for wind and solar power generation stations, based on the principle of applying a tailored policy to each station, will be a crucial strategy for enhancing forecast accuracy. …”
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6783
Study on the Creep Constitutive Model of a Sandstone Rock under the Water-Rock Interaction
Published 2021-01-01“…Moreover, the strong correlations between the predicted results and the experimental results show the effectiveness of the modified model to scrutinize the nonlinear creep behavior of sandstone rock. …”
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6784
Selection of In Vivo Relevant Dissolution Test Parameters for the Development of Cannabidiol Formulations with Enhanced Oral Bioavailability
Published 2025-01-01“…Neutral media enabled a relatively good prediction of the extent of absorption observed in vivo, whereas the rate of absorption was more complicated to predict. …”
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6785
Recent changes in ENSO’s impacts on the summertime circumglobal teleconnection and mid-latitude extremes
Published 2025-01-01“…Abstract The boreal summer circumglobal teleconnection (CGT) provides a primary predictability source for mid-latitude Northern Hemisphere climate anomalies and extreme events. …”
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6786
Artificial intelligence and machine learning in mobile apps for mental health: A scoping review.
Published 2022-08-01“…The mobile apps investigated incorporated different artificial intelligence and machine learning techniques for a variety of purposes (risk prediction, classification, and personalisation) and aimed to address a wide range of mental health needs (depression, stress, and suicide risk). …”
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6787
Risk factor assessment of prediabetes and diabetes based on epidemic characteristics in new urban areas: a retrospective and a machine learning study
Published 2025-01-01“…After the model was trained, the precision and recall rate of the prediction reached 0.76 and 0.86, respectively, with an F1 score of 0. 81. …”
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6788
Error Correction of Meteorological Data Obtained with Mini-AWSs Based on Machine Learning
Published 2018-01-01“…Severe weather events occur more frequently due to climate change; therefore, accurate weather forecasts are necessary, in addition to the development of numerical weather prediction (NWP) of the past several decades. A method to improve the accuracy of weather forecasts based on NWP is the collection of more meteorological data by reducing the observation interval. …”
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6789
Estimation level of public welfare on the basis of methods of intellectual analysis
Published 2020-07-01“…Developed mathematical model for assessment of the level of public welfare of Ukraine and made a prediction of the indicator by 2024 on the basis of the above indices. …”
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6790
Exploring target selectivity in designing and identifying PI3Kα inhibitors for triple negative breast cancer with fragment-based and bioisosteric replacement approach
Published 2025-01-01“…Further, the top 2 moieties – Djh1 and Djh2 were selected after MMGBSA analysis and target selectivity prediction towards kinase. Further induced fit docking (IFD) analysis, DFT analysis, and MD simulation were employed to establish that – Djh1 and Djh2 could act as potential hit molecules for selective inhibition of PI3Kα. …”
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6791
Data stochasticity and model parametrisation impact the performance of species distribution models: insights from a simulation study
Published 2023-04-01“…Species distribution models (SDM) are widely used to describe and explain how species relate to their environment and predict their spatial distributions. As such, they are the cornerstone of most of spatial planning efforts worldwide. …”
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6792
Combination of an E-Nose and an E-Tongue for Adulteration Detection of Minced Mutton Mixed with Pork
Published 2019-01-01“…And BPNN was proved to be the most effective method for the prediction of pork proportions with R2 higher than 0.97 both for the calibration and validation data set. …”
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6793
Modelling the Isotope composition of groundwater using hydrochemical properties in eastern Saudi Arabia: Implementation of innovative data intelligence techniques
Published 2025-02-01“…The study demonstrates the potential of AI-based models to predict the isotopic signature and groundwater dynamics in similar coastal arid environments.…”
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6794
Impact of stock market indices and raw material prices on the yield movements of Caterpillar company securities
Published 2024-01-01“…In this study, we use multiple linear regression to predict the returns of CAT shares. The model results can be analyzed to identify patterns, trends, and insights that may be useful for forecasting. …”
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6795
Evaluation of the Effectiveness of Multiple Machine Learning Methods in Remote Sensing Quantitative Retrieval of Suspended Matter Concentrations: A Case Study of Nansi Lake in Nort...
Published 2021-01-01“…Among them, the GA_RF model retrieves the suspended solids concentration with the best performance and the highest prediction accuracy, with a determination coefficient R2 of 0.98, a root mean square error (RMSE) of 1.715 mg/L, and an average relative error (ARE) of 6.83%. …”
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6796
A Novel Active Learning Technique for Fetal Health Classification Based on XGBoost Classifier
Published 2025-01-01“…Ensuring safe pregnancy and reducing maternal and infant mortality rates require early prediction of fetal health. The application of machine learning algorithms in monitoring fetal health helps to improve the chances of timely intervention and better outcomes in the event of any possible health issues in fetuses. …”
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6797
Pharmacophore-based approach for the identification of prospective UDP-2,3-diacylglucosamine hydrolase (LpxH) inhibitor from natural product database against Salmonella Typhi
Published 2025-06-01“…Both compounds underwent toxicity prediction and ADMET analysis, showing favorable drug-like properties, with compound 1615 emerging as the most promising inhibitor due to its optimal electronic energy and minimal chemical potential. …”
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6798
3D Chaotic Nonlinear Dynamic Population-Growing Mathematical System Modeling with Multiple Controllers
Published 2024-07-01“…Modeling, stabilization, and identification processes are significant stages in the process of developing knowledge about chaotic dynamical systems which entail the effective prediction depending on the degree of uncertainty toleration in the forecast, accuracy of the current state to be measured as well as a time scale resting on the dynamics of the system. …”
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6799
The Humanistic and Economic Burden Associated with Anxiety and Depression among Adults with Comorbid Diabetes and Hypertension
Published 2018-01-01“…The incremental burden associated with depression and/or anxiety was estimated with the counterfactual recycled prediction. Of the 4560 adults with comorbid diabetes and hypertension, 13.2% reported depression only, 8.7% reported anxiety only, and 7.7% reported both. …”
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6800
Energy Release Analysis of a Severe Rockburst in a Headrace Tunnel Crossing a Tectonic Stress Zone
Published 2019-01-01“…The comparisons between the predictions and the field observations show that the strength-stress ratio criteria based on the uniaxial tests do not consider the influence of the tectonic stress on the strength of the rock. …”
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