Publications by authors named "E Haus"
Controller motifs are simple biomolecular reaction networks with negative feedback. They can explain how regulatory function is achieved and are often used as building blocks in mathematical models of biological systems. In this paper we perform an extensive investigation into structural identifiability of controller motifs, specifically the so-called basic and antithetic controller motifs.
View Article and Find Full Text PDFThis study proposes to identify and validate weighted sensor stream signatures that predict near-term risk of a major depressive episode and future mood among healthcare workers in Kenya. The study will deploy a mobile app platform and use novel data science analytic approaches (Artificial Intelligence and Machine Learning) to identifying predictors of mental health disorders among 500 randomly sampled healthcare workers from five healthcare facilities in Nairobi, Kenya. This study will lay the basis for creating agile and scalable systems for rapid diagnostics that could inform precise interventions for mitigating depression and ensure a healthy, resilient healthcare workforce to develop sustainable economic growth in Kenya, East Africa, and ultimately neighboring countries in sub-Saharan Africa.
View Article and Find Full Text PDFBackground: Promoting health early in life is crucial to obesity prevention, but families in under-resourced communities face barriers to establishing healthy routines. The purpose of this pilot study was to examine the feasibility and preliminary effects of two dietary interventions for families in under-resourced communities.
Methods: Fifty-one caregivers of young children (aged 0-5 years) were recruited from six community centers located in heavily populated neighborhoods with high poverty rates (i.
Article Synopsis
- The study investigates why some healthy male shift workers are overweight despite not being obese, evaluating various risk factors such as age, physical activity, and circadian rhythm disruption.
- It analyzes data from 67 shift workers and 53 non-shift workers over a period of time, using statistical tools like multiple regression analysis to assess the impact of these factors on body mass index (BMI).
- The findings reveal that age-related increases in BMI are more pronounced in shift workers due to circadian rhythm desynchronization, while a sedentary lifestyle and night eating behaviors appear to be significant contributors to their overweight status.