App user base growth trends. by Henri Claude Moungui (22227043)

“…Interrupted time series analyses found gradual adoption and sustained retention following intervention start, but significant decrease at campaign end.</p><p>Conclusion</p><p>A context‑adapted, multi‑channel marketing strategy markedly improved adoption and retention of the WHO SkinNTDs app among Cameroonian FHWs. …”

GO analysis of stage-salient genes in the order of decreasing significance (i.e, increasing p–value). by Sangeetha Muthamilselvan (8966006)

“…<p>GO analysis of stage-salient genes in the order of decreasing significance (i.e, increasing p–value).</p>…”

Concreteness and emotional valence of episodic future thinking (EFT) independently affect the dynamics of intertemporal decisions by Cinzia Calluso (5662420)

“…Here, we investigated this issue by manipulating the valence of the EFT (i.e., using negative, neutral and positive episodic tags), and by collecting explicit and implicit measures of behaviour. …”

Liveborn app. by Daniel Ishoso (12981555)

<i>eIF2A</i> overexpression decreases the cell wall protein levels. by Laura Meyer (4033793)

The MCTOT app interface. by Wei Zhuang (146641)

Edges, i. e. connections between two nodes, that displayed a significant interaction Group x Timepoint (FDR corrected; left and middle columns). by Louis Gudmundsson (9028142)

Example pages of the app prototype. by Xiaoyun Zhou (119506)

Subjects:

The <i>E</i>. <i>multilocularis</i> antigen inducible cellular production by PBMC of chemokines and cytokines. by Beate Grüner (301524)

Number of CTD inferred g2p edges discovered with cluster predicted to be significant vs non-significant based on the four thresholds. by Michael S. Bradshaw (11772750)

Molehill Mountain app content and functionality. by Bethany Oakley (9568860)

Subjects:

Intervention with MLKL decreased neutrophil death and protected mice against <i>E. coli</i> pneumonia. by Qinyu Luo (13000956)

AIDrugApp: artificial intelligence-based Web-App for virtual screening of inhibitors against SARS-COV-2 by Divya Karade (12434925)

“…AIDrugApp is a novel open-access, deep learning AI-based inhibitory activity prediction and data statistics visualisation platform. …”

Description of all the apps identified in the review (n = 35). by Yeganeh Shahsavar (16920655)

Subjects:

Notes based on the mHealth evidence reporting and assessment guideline by WHO. by Yoko Shimpuku (7916951)

Subjects:

Comparison of marketing strategies: SkinNTDs App implementation vs. evidence-based practices. by Henri Claude Moungui (22227043)

PA direction of effect results sorted by risk of bias and type of apps. by Zihao He (8780582)

Subjects:

Screenshots of the PrEP mini-app. by Chunyan Li (211624)

Subjects:

Landing page of the Bayes Net Explorer app. by Amber C. Kiser (18004200)

Overview over the contents of the app program divided by level [28]. by Anton Kurapov (11346019)