Moran’s I across countries. by Sakar Hasan Hamza (20978818)

Subjects:

Raw dataset. by Sakar Hasan Hamza (20978818)

Subjects:

Positive correlation between tourist arrivals per capita & level of prices. by Sakar Hasan Hamza (20978818)

Subjects:

Phenotypic characterization of NMIIC knockout (KO) mice. by Hiroki Hamaguchi (22783780)

Subjects:

Spontaneous physical activity and respiratory quotient (RQ) in WT and NMIIC KO mice. by Hiroki Hamaguchi (22783780)

Subjects:

NMIIC expression and muscle weight in the soleus of 82-86-week-old mice. by Hiroki Hamaguchi (22783780)

Subjects:

Evaluation of mitochondrial protein expression and morphology in NMIIC KO mice. by Hiroki Hamaguchi (22783780)

Subjects:

Proliferation and differentiation of myoblasts derived from satellite cells in WT and NMIIC KO mice. by Hiroki Hamaguchi (22783780)

Subjects:

Confirmation of NMIIC expression. by Hiroki Hamaguchi (22783780)

Subjects:

Expression of non-muscle myosin (NM) IIC in skeletal muscle cells. by Hiroki Hamaguchi (22783780)

Subjects:

Integration of Metabolomics, Transcriptomics, and 16s rRNA Sequencing Reveals the Mechanism of Morus alba <i>L.</i> (Sangzhi) Alkaloids (SZ-A) in Improving Cholesterol Metabolism i... by Caina Li (4126462)

Subjects:

Comparison of soleus muscle weight and fiber size histogram between young and aged WT and NMIIC KO mice. by Hiroki Hamaguchi (22783780)

Subjects:

Vps34 supports Treg maintenance in lymphoid and non-lymphoid tissues. by Erienne G. Norton (9612079)

“…GSEA enrichment plots showing increased cTreg signature (left; i.e., top 200 upregulated genes [log₂FC > 0.5, FDR < 0.05] in cTregs versus eTregs) and decreased eTreg signature (right; i.e., top 200 upregulated genes [log₂FC > 0.5, FDR < 0.05] in eTregs versus cTregs) in CD45.2⁺ Tregs from <i>Foxp3</i>^Cre<i>Pik3c3</i>^fl/fl mixed BM chimera mice compared to control mixed BM chimera mice. …”

Pneumococcal (black bars) and influenza (white bars) vaccine coverage in patients living with comorbidities (A), and immunosuppressive conditions (B) according to age of 65 years,... by Benjamin Wyplosz (22032756)

Subjects:

Examples of positive, negative, and neutral tweets. Each tweet is assigned to only one of the categories based on its sentiment score calculated by VADER. by Yuqi Zhang (286958)

Subjects:

Monthly volume distribution and sentiment score of five topic groups. by Yuqi Zhang (286958)

Subjects:

Top 10 words and their associated weights for the 10 topics prior to manual grouping. by Yuqi Zhang (286958)

Subjects:

Characteristics associated with pneumococcal primary vaccination (A) and 2020−21 seasonal influenza vaccination (B) in patients with immunodepression in France in 2020 (multivariab... by Benjamin Wyplosz (22032756)

Subjects:

Pneumococcal (black bars) and influenza (white bars) vaccine coverage in patients living with comorbidities (A), and immunosuppressive conditions (B), who are at risk of pneumococc... by Benjamin Wyplosz (22032756)

Subjects:

The sentiment score and number of tweets per month from 09/01/2018 to 01/31/2020. by Yuqi Zhang (286958)

Subjects: