General classification of the imaging findings. by Hiroaki Nagano (282467)

Summary of responses on the significance of small ruminants as indicated by farmer percentages. by Dey F. Tarusikirwa (16469822)

Subjects:

Jaccard similarity of the top N genes, by statistical significance, between the Bayesian and frequentist meta-analysis methods, which is generally low. by Laurynas Kalesinskas (5768810)

General characteristics and resting vital signs of the participants. by Eun-Seon Yang (19751340)

General characteristics of the studied sample. by Mohamed O. Nour (17403909)

The GmNN1/FT2a-GmNFYA-C-GmENOD40 module regulates soybean nodulation. by Xinxin Li (281237)

General characteristics of the reviewed articles. by Nicolaus Omari Mbugi (19565758)

Estimation of coefficients from generalized linear mixed modeling for continuous variables. by So Im Ryu (13007534)

General Participant Characteristics (N = 67). by Kyeng-Jin Kim (18078584)

General characteristics of the participants. by Junhao Sun (9159150)

“…After adjusting for potential confounders, Poisson regression analysis showed that mono-2-ethyl-5-carboxypentyl phthalate (MECPP), mono-n-butyl phthalate, mono-(3-carboxypropyl) phthalate, mono-ethyl phthalate (MEP), mono-(2-ethyl-5-hydroxyhexyl) phthalate (MEHHP) and mono-(2-ethyl-5-oxohexyl) phthalate were generally significant positively associated with MAFLD (<i>P</i><0.05). …”

General characteristics according to pre-surgical complications. by Edwin Aguirre-Milachay (15453672)

Generalized linear mixed-effects models. by Karen Filbee-Dexter (5176703)

General characteristics of the study sites. by Josephine Henry Basil (19105873)

Application of Machine Learning-Based Models to Understand and Predict Critical Flux of Oil-in-Water Emulsion in Crossflow Microfiltration by Henry J. Tanudjaja (12106715)

Subjects:

General procedures for the synthesis of the key compounds 7a, b, 9, and 10. by Ahmed A. Gaber (13302308)

Temporal profiles of the key BO-NN features. by Julia Berezutskaya (9080269)

“…The shifts associated with non-significant prediction accuracies are greyed-out. <b>(c)</b> The results of the MDS for the key BO-NN features. …”

WTC general responder participant characteristics. by Chinmayi Venkatram (22783912)

Bacterial genera observed to significantly increase in abundance after corn growth across all disrupted soils, compared to abundances of the same genera across undisrupted soils gr... by Michael J. DiLegge (14129205)

Bacterial genera observed to significantly increase in abundance after tomato growth across all disrupted soils, compared to abundances of the same genera across undisrupted soils... by Michael J. DiLegge (14129205)

Bacterial genera observed to significantly increase in abundance after beet growth across all disrupted soils, compared to abundances of the same genera across undisrupted soils gr... by Michael J. DiLegge (14129205)