Analyzing the relationship between UACR and cognitive scores and impairment. by Yubo Teng (21246745)

Subjects:

Baseline characteristics of participants (N = 2385) by UACR. by Yubo Teng (21246745)

Subjects:

The complete dataset used for our analysis. by Sarah J. Noe (19846136)

Subjects:

R markdown of our complete analysis. by Sarah J. Noe (19846136)

Subjects:

Flow diagram for the inclusion of the study population. by Su Kyoung Lee (457838)

Subjects:

Association of changes in physical activity between 2013–2014 and 2015–2016 with Depression Risk among Medical Beneficiaries and Health Insurance Beneficiaries. by Su Kyoung Lee (457838)

Subjects:

Descriptive characteristics of the study participants. by Su Kyoung Lee (457838)

Subjects:

Association of changes in MVPA between two biennial health screening periods (2013 to 2014 and 2015 to 2016) with risk of depression. by Su Kyoung Lee (457838)

Subjects:

Splenocytes from Tcj2 mRNA LNP—Immunized mice decrease <i>T</i>. <i>cruzi</i> infection <i>in vitro</i>. by Leroy Versteeg (4248760)

Table 1_A novel α-conotoxin [D1G, ΔQ14] LvIC decreased mouse locomotor activity.xls by Wen Wang (6570)

“…</p>Conclusion<p>Our findings indicate that α-conotoxin [D1G, ΔQ14] LvIC significantly decreased locomotor activity in mice. Additionally, it altered gene expression primarily in areas related to neuronal development, synapse formation, and neuron activity, while also reducing synapse strength. …”

Table 2_A novel α-conotoxin [D1G, ΔQ14] LvIC decreased mouse locomotor activity.xls by Wen Wang (6570)

“…</p>Conclusion<p>Our findings indicate that α-conotoxin [D1G, ΔQ14] LvIC significantly decreased locomotor activity in mice. Additionally, it altered gene expression primarily in areas related to neuronal development, synapse formation, and neuron activity, while also reducing synapse strength. …”

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:

Study population: patients living with comorbidities (on the left) and immunosuppressive conditions (on the right) who are at risk of pneumococcal disease in France in the year 202... by Benjamin Wyplosz (22032756)

Subjects:

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

Subjects: