Changes in baseline T-cell activation markers through week 12 and week 24 according to the linear regression model. a. by Tosi M. Mwakyandile (16408705)

The linearly decreasing convergence factor a. by Junhao Wei (6816803)

Linear regression analysis. by Young Kyu Lee (14076058)

“…</p><p> Conclusion </p><p>The HTRT group showed a greater decrease in HU both pre- and post-treatment, indicating a possible indirect marker of tumor necrosis. …”

Changes in baseline T-cell exhaustion, monocyte activation and platelet activation markers through week 12 and week 24 according to the linear regression model. a. by Tosi M. Mwakyandile (16408705)

Obstacle uniform linear motion scenarios. by Long Di (9977453)

“…Simulation-based experimental results demonstrate that, under complex obstacle motion scenarios, the proposed method achieves a 55.8% reduction in trajectory tracking error compared with recently proposed improved APF methods and a 41.5% decrease relative to Dynamic Movement Primitives (DMP) baselines. …”

Table_2_Maternal oral probiotic use is associated with decreased breastmilk inflammatory markers, infant fecal microbiome variation, and altered recognition memory responses in infants—a pilot observational study.XLSX by Sara Gonia (14132166)

“…Probiotic use has been proposed as a strategy to promote health via modulation of microbiomes. …”

Table_1_Maternal oral probiotic use is associated with decreased breastmilk inflammatory markers, infant fecal microbiome variation, and altered recognition memory responses in infants—a pilot observational study.XLSX by Sara Gonia (14132166)

“…Probiotic use has been proposed as a strategy to promote health via modulation of microbiomes. …”

Effects of bevacizumab addition on VEGF-A concentrations <i>in vitro</i>. by Masashi Okawa (8951294)

Subjects:

PDRN decreases the expression of cellular aging markers. by Jingjing Chen (293564)

STL Linear Combination Forecast Graph. by Xiangjuan Liu (618000)

“…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. …”

Processing of wakefulness and sleep EEG data to calculate the HFD in a representative subject. by Francesco Colussi (22421582)

Validation of genetic markers for risk of OA or knee OA for decrease in minJSW. by Mieke L. M. Bentvelzen (21594442)

Relationship between the Gender Representation Disparity Index (GRDI) and average explicit sex markers in film criticism, illustrating a decrease in markers as the GRDI moves toward a female-dominated cast. by Jad Doughman (20636304)

“…<p>Relationship between the Gender Representation Disparity Index (GRDI) and average explicit sex markers in film criticism, illustrating a decrease in markers as the GRDI moves toward a female-dominated cast.…”

Comparison of serum VEGF-A165 concentrations pre-bevacizumab administration in patients with increased VEGF-A post-bevacizumab administration and those with decreased VEGF-A. by Masashi Okawa (8951294)

Subjects:

Deep learning-based locomotive syndrome prediction method. by Junichi Kushioka (12236447)

Subjects:

Connectivity and color maps of the linear regression analyses considering Δ-values of differences pre- to post-treatment of ROI connectivity. by Rael Lopes Alves (7877942)

Estimation of the coefficients of a generalised linear model of posttraumatic stress symptomatology. by Beatriz Arregui-Gallego (21553735)

Effects of GJE extract treatment decreased serum ALT and AST levels. by Natnicha Suttawong (22367172)

The most common machine learning methods to predict ν_s. by Fahd Saeed Alakbari (10701871)

Subjects:

Comparison of Visceral Adiposity Index (VAI), Lipid Accumulation Product (LAP), and Related Variables by Vitamin D Status (A) VAI, (B) LAP, (C) TG, (D) WC, (E) BMI, (F) HDL-C. by Hyelim Lee (11286822)