The expected heterozygosity <i>(H</i>_<i>e</i>) of microsatellite loci flanking <i>podhfr</i> gene in <i>P</i>. <i>ovale curtisi</i>. by Jing Chen (4762)

Full list of proteins significantly enriched by BioID2 labelling. by Jan Pyrih (229124)

A heatmap of antimicrobial resistance in <i>E</i>. <i>coli</i> isolates collected from Canadian turkey flocks by region in 2016 (n = 277) and 2017 (n = 287). by Rima D. Shrestha (13172631)

A heatmap of antimicrobial resistance in <i>E</i>. <i>coli</i> isolates collected from Canadian turkey flocks by region in 2020 (n = 223) and 2021 (n = 429). by Rima D. Shrestha (13172631)

A heatmap of antimicrobial resistance in <i>E</i>. <i>coli</i> isolates collected from Canadian turkey flocks by region in 2018 (n = 367) and 2019 (n = 393). by Rima D. Shrestha (13172631)

Pathways analysis of ERCC1 based on CWP metabolome and proteome. by Hao Deng (409186)

Variable descriptions based on statistics. by Xiqiao Xia (17720527)

Subjects:

Multiomic Droplet-Based Assay for Ultralow Input Samples by Mathilde Richerd (17499379)

“…While magnetic particle extraction is commonly used, it may not be applicable for ultralow input samples. Microfluidics has made possible the analysis of rare or low-materiality samples such as circulating tumor cells or single cells through miniaturization of numerous protocols. …”

Multiomic Droplet-Based Assay for Ultralow Input Samples by Mathilde Richerd (17499379)

“…While magnetic particle extraction is commonly used, it may not be applicable for ultralow input samples. Microfluidics has made possible the analysis of rare or low-materiality samples such as circulating tumor cells or single cells through miniaturization of numerous protocols. …”

Spatio-temporal dynamics of response to ampicillin in <i>E</i>. <i>coli</i> colonies. by Christopher J. Skalnik (16384779)

Error metric values i.e. MAPE and NMRE in JJA (main rainy season) rainfall between station data and CHIRPS data set before and after bias correction. by Asnake Adane (19935018)

Deep Drug–Target Binding Affinity Prediction Base on Multiple Feature Extraction and Fusion by Zepeng Li (628479)

“…Recently, deep learning methods for DTA prediction have made significant progress. However, there are still two challenges: (1) recent models always ignore the correlations in drug and target data in the drug/target representation process and (2) the interaction learning of drug–target pairs always is by simple concatenation, which is insufficient to explore their fusion. …”

Entomopathogenic fungi-derived copper nanoparticles (CuNPs) exhibited minimal toxicity effects against <i>E</i>. <i>eugeniae</i> at 24 and 48h post treatment. by Perumal Vivekanandhan (4863484)

Blueprint of attention-based GRU model structure. by Yankun Jiang (5690342)

The TabNet encoder is made up of three parts: A feature transformer, an attentive transformer, and feature masking. by Demóstenes Zegarra Rodríguez (17174585)

Pipeline for generating layperson summaries of medical trials using a tri-phasic large language model (LLM)-based framework with human oversight. by Severin Rodler (21455143)

Subjects:

Methodologies adopted for ESV valuation. The classification of assessment methods is based on [8,10,26–29]. by Yunhua Lin (12997674)

Countries-based distributions of included studies. by Halefom Kahsay Haile (20670874)

Adjusted prevalence (y-axes) estimates of resistance to antimicrobials (x-axes) in <i>E</i>. <i>coli</i> isolates (n = 1976) of turkeys by year, accounting for turkey farm level cl... by Rima D. Shrestha (13172631)

Associations between antimicrobial resistance to individual antimicrobials in <i>E</i>. <i>coli</i> isolates (n = 1986) and sampling years and regions determined by the multivariab... by Rima D. Shrestha (13172631)