Table_1_Disrupted Regional Homogeneity in Drug-Naive Patients With Bipolar Disorder.docx by Xiaoxiao Shan (8627850)

Norm ISWSVR: A Data Integration and Normalization Approach for Large-Scale Metabolomics by Xian Ding (421647)

“…More importantly, Norm ISWSVR also allows a low frequency of QCs, which could significantly decrease the burden of a large-scale experiment. …”

Data_Sheet_1_Deviant spontaneous neural activity as a potential early-response predictor for therapeutic interventions in patients with schizophrenia.docx by Huan Jing (9362610)

“…Resting-state functional magnetic resonance imaging (fMRI), regional homogeneity (ReHo), support vector machine (SVM), and support vector regression (SVR) were used for data acquisition and analysis.…”

Table_1_Early Fractional Amplitude of Low Frequency Fluctuation Can Predict the Efficacy of Transcutaneous Auricular Vagus Nerve Stimulation Treatment for Migraine Without Aura.doc... by Menghan Feng (11655429)

“…We found that (1) compared with HCs, MWoA patients exhibited increased fALFF in the left thalamus, left inferior parietal gyrus (IPG), bilateral precentral gyrus (PreCG), right postcentral gyrus (PoCG), and bilateral supplementary motor areas (SMAs), but decreased in the bilateral precuneus and left superior frontal gyrus (SFG)/medial prefrontal cortex (mPFC); (2) after 4-week taVNS treatment, the fALFF values significantly decreased in these brain regions based on the pretreatment comparison. …”

Image_1_Early Fractional Amplitude of Low Frequency Fluctuation Can Predict the Efficacy of Transcutaneous Auricular Vagus Nerve Stimulation Treatment for Migraine Without Aura.tif by Menghan Feng (11655429)

“…We found that (1) compared with HCs, MWoA patients exhibited increased fALFF in the left thalamus, left inferior parietal gyrus (IPG), bilateral precentral gyrus (PreCG), right postcentral gyrus (PoCG), and bilateral supplementary motor areas (SMAs), but decreased in the bilateral precuneus and left superior frontal gyrus (SFG)/medial prefrontal cortex (mPFC); (2) after 4-week taVNS treatment, the fALFF values significantly decreased in these brain regions based on the pretreatment comparison. …”

T vector velocity: A new ECG biomarker for identifying drug effects on cardiac ventricular repolarization by Werner Bystricky (6927950)

“…We show that drugs blocking inward (depolarizing) ion currents cause a relative increase of the T vector velocity (TVV) and accelerate repolarization, while drugs blocking outward ion currents cause a relative decrease of the TVV and delay repolarization. …”

DataSheet4_High Wind Speed Prevents the Establishment of the Disease Vector Mosquito Aedes albopictus in Its Climatic Niche in Europe.pdf by Emmanuel Damilare Adeleke (12828161)

“…Wind speed has a negative effect on the predicted habitat suitability of Ae. albopictus and reduces false-positive rates in model predictions. With increasing wind speed, the average marginal effect of annual mean temperatures decreases but that of the annual precipitation increases. …”

DataSheet2_High Wind Speed Prevents the Establishment of the Disease Vector Mosquito Aedes albopictus in Its Climatic Niche in Europe.PDF by Emmanuel Damilare Adeleke (12828161)

“…Wind speed has a negative effect on the predicted habitat suitability of Ae. albopictus and reduces false-positive rates in model predictions. With increasing wind speed, the average marginal effect of annual mean temperatures decreases but that of the annual precipitation increases. …”

DataSheet1_High Wind Speed Prevents the Establishment of the Disease Vector Mosquito Aedes albopictus in Its Climatic Niche in Europe.PDF by Emmanuel Damilare Adeleke (12828161)

“…Wind speed has a negative effect on the predicted habitat suitability of Ae. albopictus and reduces false-positive rates in model predictions. With increasing wind speed, the average marginal effect of annual mean temperatures decreases but that of the annual precipitation increases. …”

DataSheet3_High Wind Speed Prevents the Establishment of the Disease Vector Mosquito Aedes albopictus in Its Climatic Niche in Europe.PDF by Emmanuel Damilare Adeleke (12828161)

“…Wind speed has a negative effect on the predicted habitat suitability of Ae. albopictus and reduces false-positive rates in model predictions. With increasing wind speed, the average marginal effect of annual mean temperatures decreases but that of the annual precipitation increases. …”

Tokenisation and embedding procedure for the development of ordinal all-predictor-based models (APMs). by Shubhayu Bhattacharyay (11242977)

Major hyperparameters of RF-SVR. by Jintao Li (448681)

“…To address these challenges, we selected and integrated Random Forest (RF), Support Vector Regression (SVR), and Multilayer Perceptron Regression (MLPR) to develop two coupled intelligent prediction models—RF-SVR and RF-MLPR—due to their complementary strengths. …”

Pseudo code for coupling model execution process. by Jintao Li (448681)

“…To address these challenges, we selected and integrated Random Forest (RF), Support Vector Regression (SVR), and Multilayer Perceptron Regression (MLPR) to develop two coupled intelligent prediction models—RF-SVR and RF-MLPR—due to their complementary strengths. …”

Major hyperparameters of RF-MLPR. by Jintao Li (448681)

“…To address these challenges, we selected and integrated Random Forest (RF), Support Vector Regression (SVR), and Multilayer Perceptron Regression (MLPR) to develop two coupled intelligent prediction models—RF-SVR and RF-MLPR—due to their complementary strengths. …”

Results of RF algorithm screening factors. by Jintao Li (448681)

“…To address these challenges, we selected and integrated Random Forest (RF), Support Vector Regression (SVR), and Multilayer Perceptron Regression (MLPR) to develop two coupled intelligent prediction models—RF-SVR and RF-MLPR—due to their complementary strengths. …”

Schematic diagram of the basic principles of SVR. by Jintao Li (448681)

“…To address these challenges, we selected and integrated Random Forest (RF), Support Vector Regression (SVR), and Multilayer Perceptron Regression (MLPR) to develop two coupled intelligent prediction models—RF-SVR and RF-MLPR—due to their complementary strengths. …”

Age prediction based on spatial patterns of nodal overlap. by Tianyuan Lei (19683861)

The effectiveness of inspections on reported mosquito larval habitats in households: A case-control study by Joel Aik (6882662)

“…</p><p>Conclusions/Significance</p><p>Our study confirms the protective effect of inspections on reported mosquito larval habitat reporting in households. …”

Do policy uncertainty and volatility index affect dynamic connectedness among house price, financial and commodity market indices? Evidence from TVP-VAR and quantile regression ana... by Nilotpal Sarma (21460739)

“…Subsequently, it analyses the influence of policy uncertainty and equity market risk on the total connectedness of assets and their impact on the significance of the home price index. A time-varying parameter vector autoregressions (TVP-VAR) model has been employed to explore the connectedness of the assets. …”

DataSheet_1_Enhancing estimation of cover crop biomass using field-based high-throughput phenotyping and machine learning models.docx by Geng Bai (17748969)

“…Four ML models, namely Random Forests Regression (RFR), Support Vector Regression (SVR), Partial Least Squares Regression (PLSR), and Artificial Neural Network (ANN), were investigated. …”