Activity

Recent research suggests a link between autism spectrum disorder (ASD) and anorexia nervosa (AN). Individuals with AN show high scores on measures of ASD symptoms, relative to individuals without AN, however, there are currently no studies directly comparing women with AN to women with ASD. The aim of the current study was to examine profiles of ASD symptoms in young women in the acute and recovered stages of AN, women with ASD, and typically developing controls (TD), on both self-report and clinical interview measures.

Four groups of participants aged 12-30years were included (n = 218) AN, recovered AN (REC), ASD, and TD. GPCR19 activator Group differences on the Social Responsiveness Scale, 2nd edition (SRS-2), 10-item Autism Quotient (AQ-10), and the Autism Diagnostic Observation Schedule, 2nd edition (ADOS-2) were examined. To explore similarities and differences in specific symptom profiles associated with AN and ASD, individual item endorsement on the ADOS-2 was also examined in AN, REC, and ASD.

Across measures, terview measures in AN and ASD. However, individual ADOS-2 item analyses also revealed subtle differences, particularly in reciprocal social interaction. ASD symptoms may be a combination of both state and trait features in AN.Exposure to early life stress (ELS) during childhood or prenatally increases the risk of future psychiatric disorders. The effect of stress exposure during the neonatal period is less well understood. In preterm infants, exposure to invasive procedures is associated with altered brain development and future stress responses suggesting that the neonatal period could be a key time for the programming of mental health. Previous studies suggest that ELS affects the hypothalamic epigenome, making it a good candidate to mediate these effects. In this study, we used a mouse model of early life stress (modified maternal separation; MMS). We hypothesised MMS would affect the hypothalamic transcriptome and DNA methylome, and impact on adult behaviour. MMS involved repeated stimulation of pups for 1.5 h/day, whilst separated from their mother, from postnatal day (P) 4-6. 3’mRNA sequencing and DNA methylation immunoprecipitation (meDIP) sequencing were performed on hypothalamic tissue at P6. Behaviour was assessed with the elevated plus, open field mazes and in-cage monitoring at 3-4 months of age. MMS was only associated with subtle changes in gene expression, but there were widespread alterations in DNA methylation. Notably, differentially methylated regions were enriched for synapse-associated loci. MMS resulted in hyperactivity in the elevated plus and open field mazes, but in-cage monitoring revealed that this was not representative of habitual hyperactivity. ELS has marked effects on DNA methylation in the hypothalamus in early life and results in stress-specific hyperactivity in young adulthood. These results have implications for the understanding of ELS-mediated effects on brain development.

This study was designed to explore the patterns of financial incentives received by some frontline health workers (including nurses, midwives as well as community health workers in paid employment) and the implications for their productivity within rural settings in Nigeria. A cross-sectional quantitative design in two States in Nigeria was adopted. Structured interviews were conducted with 114 frontline health workers. Bivariate analysis and multivariate regression analysis were carried out to explore relationships between the satisfaction of frontline health workers with the financial incentives received and their productivity in rural settings as well as the extent of any such relationships.

Bivariate analysis demonstrated a statistically significant relationship (P = 0.013) between satisfaction with incentives received by frontline health workers and their productivity in rural settings. When other predictors were controlled for within a multivariate regression model, those who received incentives andding possibly a cross-section of health workers themselves.

This research was aimed to isolate cellulolytic molds in empty fruit bunches of oil palm (EFBOP) and soils from palm oil plantation area and identify their enzyme activities to digest EFBOP.

A total of seven molds were successfully isolated and screened for their enzyme activities from EFBOP and the soils. The enzymes from each isolate were produced in submerged culture using Mineral Mandels and 3% of alkali pretreated pollard in triplicates. The results indicated that all of the isolates were able to hydrolyze Carboxymethyl Cellulose (CMC), Whatmann No. 1 filter paper, and also EFBOP to sugars with reducing ends that reacted to 3,5-Dinitrosalicylic acid (DNS). The CMCase activity of isolate X showed the highest while the lowest was found for isolate MT8. Filter paperase (FPase) activity of isolate X performed the highest wile the lowest were found from isolate MT3 and MT6. The saccharification activity of isolate P showed the highest while MT6 performed the lowest activity.

A total of seven molds were successfully isolated and screened for their enzyme activities from EFBOP and the soils. The enzymes from each isolate were produced in submerged culture using Mineral Mandels and 3% of alkali pretreated pollard in triplicates. The results indicated that all of the isolates were able to hydrolyze Carboxymethyl Cellulose (CMC), Whatmann No. 1 filter paper, and also EFBOP to sugars with reducing ends that reacted to 3,5-Dinitrosalicylic acid (DNS). The CMCase activity of isolate X showed the highest while the lowest was found for isolate MT8. Filter paperase (FPase) activity of isolate X performed the highest wile the lowest were found from isolate MT3 and MT6. The saccharification activity of isolate P showed the highest while MT6 performed the lowest activity.

Partial atomic charges find many applications in computational chemistry, chemoinformatics, bioinformatics, and nanoscience. Currently, frequently used methods for charge calculation are the Electronegativity Equalization Method (EEM), Charge Equilibration method (QEq), and Extended QEq (EQeq). They all are fast, even for large molecules, but require empirical parameters. However, even these advanced methods have limitations-e.g., their application for peptides, proteins, and other macromolecules is problematic. An empirical charge calculation method that is promising for peptides and other macromolecular systems is the Split-charge Equilibration method (SQE) and its extension SQE+q0. Unfortunately, only one parameter set is available for these methods, and their implementation is not easily accessible.

In this article, we present for the first time an optimized guided minimization method (optGM) for the fast parameterization of empirical charge calculation methods and compare it with the currently available guided minimization (GDMIN) method.