Image_1_Decreased Expression of CD69 on T Cells in Tuberculosis Infection Resisters.TIF by Zhen-Yan Chen (4256125)

Image_2_Decreased Expression of CD69 on T Cells in Tuberculosis Infection Resisters.TIF by Zhen-Yan Chen (4256125)

Clustering of metastable states using the first 50 ns of post-translational folding trajectories of CAT-III with ligand bound. by Yang Jiang (46459)

Expression of ApoB-50 decreased lipid accumulation and inhibited HCV production. by Bei Wang (116772)

Molecular dynamics simulations of the three systems (PPARG-MOL000098, PPARG-MOL000354, PPARG-MOL000422) after 50 ns. by Lefei Yu (12274846)

Molecular dynamics simulations of the three systems (TNF-MOL000098, TNF-MOL000354, TNF-MOL000422) after 50 ns. by Lefei Yu (12274846)

Thermal denaturation of ZIKV NS2B/NS3^pro and CHIKV nsP2^pro using fluorescence spectroscopy. by Raphael J. Eberle (9286932)

Detailed meta–analyses in untreated hypothyroid patients compared with controls for each HRV parameters: RR intervals, SDNN, RMSSD, pNN50, TP, LF, HF, LF/HF. by Valentin Brusseau (12769704)

Urine cytokines levels and renal histology (n = 69). by Pintip Ngamjanyaporn (5618255)

Passive transfer of humanized anti-NS1 mAb 33D2 into DENV-inoculated mice decreases viral titer and NS1 level in mouse sera. by Sen-Mao Tien (12481273)

Cells expressing nsP2 inefficiently present antigen and have decreased levels of cell surface MHC-I. by Brian C. Ware (8544672)

Molecular dynamics simulations of the three systems (MMP9-MOL000098, MMP9-MOL000354, MMP9-MOL000422) after 50 ns. by Lefei Yu (12274846)

Molecular dynamics simulations of the three systems (IL-6-MOL000098, IL-6-MOL000354, IL-6-MOL000422) after 50 ns. by Lefei Yu (12274846)

What is the Optimal Size of the Quantum Region in Embedding Calculations of Two-Photon Absorption Spectra of Fluorescent Proteins? by Dawid Grabarek (2617847)

Subjects:

A 69-year-old woman with left hand tremor. by Jungbin Lee (8564367)

HPK1-IN-3 decreased T lymphocyte activation. by Min Jeong Ahn (18886882)

Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 12 covariates chosen using subjective feature selection. by Dennis Ochola (11626912)

Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 17 covariates selected after recursive feature selection. by Dennis Ochola (11626912)

IEEE 69 node system. by Zuhair Alaas (20868907)

“…Similarly, the IEEE 69-node grid achieves a significant decrease of 34.96%. …”

A flow diagram of the study entry. by Sakiko Fukui (387048)

“…Criteria included: at least six months’ residency before death, ability to eat orally during the study period, and death within the facility. We created a time-series dataset for 69 participants, documenting their average weekly food intake (on a scale of 0-10). …”