The predicted IC50 values of Axitinib in the low- and high-GSRS cases. by Yu Zhang (12946)

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Regression analysis predicting PAEE-tr. by Nils Georg Niederstrasser (7586426)

“…Nevertheless, when examined simultaneously, only the indirect associations via pain resilience remained significant. Similarly, when predicting physical activity levels, only high levels of pain resilience and male gender were associated with increased physical activity levels, whereas kinesiophobia was not.…”

Logistic regression analysis to predict the efficacy for liver function. by Naruyoshi Gyoutoku (22537831)

Increased NFKB2⁺ cells and decreased ACADM⁺ and ANGPTL4⁺ cells were observed in KIRC tissues. by Yu Zhang (12946)

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Predicted trends in Age-standardized rates of PUD for both sexes globally over the next 19 years (2022-2040). by Wende Hao (10315597)

Linear association Between Vitamin D Concentration and Visceral Adiposity Index (VAI) and Lipid Accumulation Product (LAP). by Hyelim Lee (11286822)

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Development of a CRISPR/Cas-Based Detection Platform for Tracking Decreased Susceptibility to Cephalosporins in Neisseria gonorrheae by Ziyuan Zhao (2889005)

“…Clinical evaluation showed 100% concordance with qPCR for <i>Ng</i> identification and Sanger sequencing for FC428 strain tracking. For predicting decreased-susceptibility strains with A501 mutations, MIRCA achieved 98.33% agreement with Sanger sequencing. …”

The predicted AREs in the 3’UTR of ITGAV mRNA. by Lijun Mao (561880)

Linear mixed model results, fixed effects for time points, group, time points x group and univariate effects in the two groups WAD grades 2 and 3. by Anneli Peolsson (7867601)

Results of the linear models for the amplitudes (in <i>μ</i>V) of the components P1, N1, P2, and N400. by Elena Bolt (20396190)

Prediction effect of each model after STL. by Xiangjuan Liu (618000)

“…<div><p>This study constructs a multi-stage hybrid forecasting model using hog price time series data and its influencing factors to improve prediction accuracy. First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. …”

BWO-BiLSTM model prediction results. by Xiangjuan Liu (618000)

“…<div><p>This study constructs a multi-stage hybrid forecasting model using hog price time series data and its influencing factors to improve prediction accuracy. First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. …”

Analysis of the Path Effects of Burnout and Resilience on  Stress Specific to COVID-19 and PTS via Multiple Linear Regressions, with Standardized Beta Coefficients (Standard Error)... by Rachel G. Baskin (22127334)

Predicted values of the fertility rate of women under 20 years of age according to HDI-M values, Primary Care Population coverage and information on the year of the pandemic. Brazi... by Rosa Maria Soares Madeira Domingues (2795005)

Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces by Guangchao Han (1453198)

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Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces by Guangchao Han (1453198)

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Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces by Guangchao Han (1453198)

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Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces by Guangchao Han (1453198)

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Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces by Guangchao Han (1453198)

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Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces by Guangchao Han (1453198)

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