Predictive modeling of cattle calving time emphasizing abnormal and normal cases by using posture analysis.

Accurate calving time prediction plays a critical role in ensuring the well-being of both mother and calf during parturition. Challenges during the calving process, particularly in abnormal cases, often necessitate human intervention to prevent potentially fatal outcomes. This study proposes a novel system for automated prediction of normal and abnormal cattle calving cases based on posture analysis.

Be kind, don't rewind: trait rumination may hinder the effects of self-compassion on health behavioral intentions after a body image threat.

Many individuals encounter situations that may elicit body-related concerns and impact how they think and feel about their weight, daily habits, and physical attractiveness. Research shows body image threats can predict poor health behaviors, but approaching those difficult moments with self-compassion-being kind, forgiving, and nonjudgmental-may reduce the impact of that threat and promote engagement in positive health behaviors. However, trait rumination, or tending to perseverate on negative events, may both dampen the benefits of a self-compassionate state and predict poor health behaviors.

Discovery of New Cyclic Lipodepsipeptide Orfamide N via Partnership with Middle School Students from the Boys and Girls Club.

We established a university-community partnership with the Boys and Girls Clubs of Chicago (BGCC)-named b-to involve middle school students in antibiotic discovery research. In the course of working with a cohort of students from the BGCC, one student isolated a bacterium from a goose feces sample that produced a new cyclic lipodepsipeptide, which was characterized as orfamide N. Orfamide N is composed of ten mixed D/L-amino acids and a ()-3-hydroxyhexadec-9-enoic acid residue.

Bioactivity-driven fungal metabologenomics identifies antiproliferative stemphone analogs and their biosynthetic gene cluster.

Introduction: Fungi biosynthesize chemically diverse secondary metabolites with a wide range of biological activities. Natural product scientists have increasingly turned towards bioinformatics approaches, combining metabolomics and genomics to target secondary metabolites and their biosynthetic machinery. We recently applied an integrated metabologenomics workflow to 110 fungi and identified more than 230 high-confidence linkages between metabolites and their biosynthetic pathways.

Aulosirazole Stimulates FOXO3a Nuclear Translocation to Regulate Apoptosis and Cell-Cycle Progression in High-Grade Serous Ovarian Cancer (HGSOC) Cells.

Ovarian cancer, the fifth leading cause of cancer-related mortality in women, is the most lethal gynecological malignancy globally. Within various ovarian cancer subtypes, high-grade serous ovarian cancer is the most prevalent and there is frequent emergence of chemoresistance. Aulosirazole, an isothiazolonaphthoquinone alkaloid, isolated from the cyanobacterium sp.