Molecular monitoring of short- and long-term transcriptional effects of hair growth stimulating agents.

Male-pattern hair loss (MPHL) is the most common form of hair loss in humans. Limited treatment options exist, which are not curative and vary in efficacy and invasiveness. Therapeutic and cosmetic hair growth stimulating agents that alleviate hair loss at a low risk of side effects are therefore of interest.

Role of ZFHX4 in orofacial clefting based on human genetic data and zebrafish models.

Orofacial clefting (OFC) is a frequent congenital anomaly and can occur either in the context of underlying syndromes or in isolation (nonsyndromic). The two common OFC phenotypes are cleft lip with/without cleft palate (CL/P) and cleft palate only (CPO). In this study, we searched for penetrant CL/P genes, by evaluating de novo copy number variants (CNV) from an exome sequencing dataset of 50 nonsyndromic patient-parent trios.

Atmospheric CH, CO and Ar measurements around a Swiss pressurized water reactor during an annual revision period.

Since the 1980s, radiocarbon (C) has gained attention as a valuable tool to quantify the amount of fossil and non-fossil emissions of CO and CH in the atmosphere. Since the 1970s, however, important C emissions in the atmosphere also occur through the operation of nuclear power plants. The limited knowledge about these emissions challenges the use of C as a universal source apportionment tool.

Effective realization of abatement measures can reduce HFC-23 emissions.

HFC-23 is a potent greenhouse gas, predominantly emitted as an undesired by-product during the synthesis and processing of HCFC-22 (ref. ). Previously, the Clean Development Mechanism and national efforts called for the implementation of abatement technology for reducing HFC-23 emissions.

A hybrid model for enhanced forecasting of PM spatiotemporal concentrations with high resolution and accuracy.

Forecasting concentrations of PM is important due to its known impacts on public health and environment. However, PM concentrations can vary significantly over short distances and time, which can be influenced by local emissions and short-term weather patterns. This spatiotemporal variability makes accurate PM forecasting an inherently complex and challenging task.