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:

Molecular Insights on Methane Hydrate Dissociation in the Presence/Absence of Poly-<i>N-</i>vinylcaprolactam: Effects of Gas Saturation and Nanobubbles by Yang Liu (4829)

Subjects:

The theme, top terms, and description of five topic groups. by Yuqi Zhang (286958)

Subjects:

Clinical characteristics. by Clemens Plattner (21567706)

Subjects:

Factors associated with first-time HCV testing. by Bao Vu Ngoc (14551955)

Subjects:

Characteristics of propensity score matched groups. by Clemens Plattner (21567706)

Subjects:

Demographic characteristics of study participants. by Bao Vu Ngoc (14551955)

Subjects:

Characteristics of patients at risk of pneumococcal disease in France in 2020 and vaccination rates. by Benjamin Wyplosz (22032756)

Subjects:

Proportion of first-time HCV testers by testing model. by Bao Vu Ngoc (14551955)

Subjects:

Volume distribution and sentiment of positive, negative, and neutral tweets. by Yuqi Zhang (286958)

Subjects:

Differential gene sets associated with the transcriptional host response to SARS-CoV-2 infection across serially collected samples. by Vasanthi Avadhanula (259546)

Subjects:

Table 2 - by Rosanna Mary Rooney (17595801)

“…<div><p>Background</p><p>Evidence indicates that criminal behaviour in youth is linked with a range of negative physical, mental, and social health consequences. Despite a global decrease over the last 30 years, youth crime remains prevalent. …”

Participants’ attitude toward antidiabetic medications uses for weight reduction (n = 389). by Rana Abutaima (15333009)

Subjects:

Source of information about antidiabetic medications uses for weight reduction (n = 220). by Rana Abutaima (15333009)

Subjects:

Sociodemographic characteristics of the participants (n = 389). by Rana Abutaima (15333009)

Subjects:

Participants’ responses regarding the possible use of some antidiabetic medications for weight reduction (n = 389). by Rana Abutaima (15333009)

Subjects:

Participants’ practice toward antidiabetic medications uses for weight reduction. by Rana Abutaima (15333009)

Subjects:

Participants’ knowledge about weight reduction medications (n = 220). by Rana Abutaima (15333009)

Subjects: