Haslundbisgaard0563

Pink bollworm (

) is a destructive insect pest of cotton crops in China and globally, which is actively predated on by

. Studies on the fitness or survival of

fed on

at different temperatures have not been reported. The fitness of

may be well explained using two-sex life table parameters. Thus, the present study provides important insights for the effective biocontrol of

.

Considering the importance of fitness parameters and biocontrol, the present study explores the feeding potential and age-stage, two-sex life table traits of

on

eggs at different temperatures (24, 28 and 32 °C) in the laboratory.

The intrinsic rate of increase (

) was higher at 28 °C (0.14 d

) than at 24 °C (0.0052 d

) and 32 °C (0.12 d

). Similarly, the net reproductive rate (



) was higher at 28 °C (17.63 offspring) than at 24 °C (1.13 offspring) and 32 °C (10.23 offspring). This concluded that the maximum feeding potential and growth capacity of

could be attained at 28 °C when fed on

eggs.

adults preferred to feed on

eggs compared with first instar larvae. Based on these results, the present study suggests that

represents a promising biological control agent against

eggs in cotton fields.

The intrinsic rate of increase (r) was higher at 28 °C (0.14 d-1) than at 24 °C (0.0052 d-1) and 32 °C (0.12 d-1). Similarly, the net reproductive rate (R0) was higher at 28 °C (17.63 offspring) than at 24 °C (1.13 offspring) and 32 °C (10.23 offspring). This concluded that the maximum feeding potential and growth capacity of O. strigicollis could be attained at 28 °C when fed on P. gossypiella eggs. O. strigicollis adults preferred to feed on P. check details gossypiella eggs compared with first instar larvae. Based on these results, the present study suggests that O. strigicollis represents a promising biological control agent against P. gossypiella eggs in cotton fields.

European brown hares (

) and European rabbits (

) are invasive pest species in Australia, with rabbits having a substantially larger environmental impact than hares. As their spatial distribution in Australia partially overlaps, we conducted a comparative microbiome study to determine how the composition of gastrointestinal microbiota varies between these species, since this may indicate species differences in diet, physiology, and other internal and external factors.

We analysed the faecal microbiome of nine wild hares and twelve wild rabbits from a sympatric periurban reserve in Canberra, Australia, using a 16S rRNA amplicon-based sequencing approach. Additionally, we compared the concordance between results from Illumina and Nanopore sequencing platforms.

We identified significantly more variation in faecal microbiome composition between individual rabbits compared to hares, despite both species occupying a similar habitat. The faecal microbiome in both species was dominated by the phyla

and

,cibacteria, were shared between rabbits and hares. In contrast, bacteria from phylum Verrucomicrobia were present only in rabbits, while phyla Lentisphaerae and Synergistetes were represented only in hares. We did not identify phylum Spirochaetes in Australian hares; this phylum was previously shown to be present at high relative abundance in European hare faecal samples. These differences in the composition of faecal microbiota may be indicative of less discriminate foraging behaviour in rabbits, which in turn may enable them to adapt quicker to new environments, and may reflect the severe environmental impacts that this species has in Australia.

The CKLF-like MARVEL transmembrane domain containing 6 (CMTM6) is a key regulator of the programed death receptor ligand-1 (PD-L1) protein. However, the usefulness of CMTM6 expression as a prognostic indicator and the relationship between CMTM6 and PD-L1 expression in gastric cancer (GC) remains unclear.

We evaluated the expression and prognostic implications of CMTM6 in GC tissue and its relationship with PD-L1 expression.

The protein expressions of CMTM6 and PD-L1 were detected in 122 cases of postoperative GC tissue using immunohistochemical (IHC) assays. Kaplan-Meier survival analysis was used to calculate the survival probability and a log-rank test was used to compare the survival curves. Univariate and multivariate Cox proportional hazard regression analyses were used to evaluate the clinically-related factors associated with survival. Pearson's correlation was used to determine the correlation analysis and estimate the statistical significance. The univariate and multivariate logistic regressionpy for GC patients.

CMTM6 expression is significantly related to PD-L1 and may be a useful prognostic indicator and a specific therapeutic target for cancer immunotherapy for GC patients.

Cancer classification is of great importance to understanding its pathogenesis, making diagnosis and developing treatment. The accumulation of extensive omics data of abundant cancer cell line provide basis for large scale classification of cancer with low cost. However, the reliability of cell lines as in vitro models of cancer has been controversial.

In this study, we explore the classification on pan-cancer cell line with single and integrated multiple omics data from the Cancer Cell Line Encyclopedia (CCLE) database. The representative omics data of cancer, mRNA data, miRNA data, copy number variation data, DNA methylation data and reverse-phase protein array data were taken into the analysis. TumorMap web tool was used to illustrate the landscape of molecular classification.The molecular classification of patient samples was compared with cancer cell lines.

Eighteen molecular clusters were identified using integrated multiple omics clustering. Three pan-cancer clusters were found in integrated mult

This review highlights the emerging fields of simulation research by tying innovation into principles of learning and process improvement.

Advances have been made in both educational simulation and simulation for quality improvement, allowing this versatile modality to be more broadly applied to healthcare and systems.

Simulation in pediatric critical care medicine continues to evolve. Although the majority of simulation is focused on learner education, emerging research has broadened to focus on patient- and system-centered outcomes, leading to improvement in the quality of care delivered in the ICU.

Simulation in pediatric critical care medicine continues to evolve. Although the majority of simulation is focused on learner education, emerging research has broadened to focus on patient- and system-centered outcomes, leading to improvement in the quality of care delivered in the ICU.