Structural landscape changes in urban and peri-urban agricultural systems of two West African cities and their relations to ecosystem services provided by woody plant communities

Urban Ecosystems - High urbanization pressure in Sub-Saharan Africa led to changes in the composition and configuration of rural and peri-urban agricultural production systems and to the...     

The role of sex steroid hormones in benign prostatic hyperplasia

Introduction: The etiology of benign prostatic hyperplasia (BPH) remains a mystery to scientists; estrogen/androgen imbalance in aged men has been implicated.

Methods: Thirty (30) apparently healthy men and newly diagnosed BPH patients were recruited from the Ghana Police Hospital. Lower urinary tract syndrome (LUTS) and prostate volume were assessed via the prostate symptom score sheet (IPSS) and abdominopelvic scan, respectively. Laboratory assays for total prostate specific antigen (tPSA) and hormones [androstenedione (AED), testosterone (T), dihydrotestosterone (DHT), androstanedioladiol (3α-adiol), androstanediol (3β-diol), estrone (E1) and estradiol (E2)] were performed via ELISA techniques. Non-parametric analyses were employed. p?Results: AED was significantly higher in controls compared to the BPH patients. AKRIC2 (3α-diol/DHT) was significantly higher in the BPH group (p?p=?0.029). Age correlated negatively with T, while a negative correlation was observed between TIPSS and 3β-diol and AKRIC1. Also, prostate volume correlated negatively with fT.tPSA correlated positively with E2 and aromatase activity (E2/T) and negatively with fT. On multiple linear regression, DHT and 3β-diol remained independent predictors for TIPSS and fT for tPSA.

Conclusion: Estrogens and androstanediols seem to play a role in BPH development.     

Food Poverty,Vulnerability, and Food Consumption Inequality Among Smallholder Households in Ghana: A Gender-Based Perspective

We examined gender-based household welfare differences in Ghana among smallholder households. We measured disparities in welfare outcomes (food poverty, vulnerability, and food consumption inequality) across male and female household heads and identified the set of covariates influencing them. The study utilizes a dataset from a farm household survey undertaken in Northern Ghana from October to December 2018. A multistage sampling approach was adopted in selecting 900 farm households. The Oaxaca–Blinder mean and Recentered Inference Function decomposition techniques highlighted the sources of gender differentials in household welfare outcomes. The findings indicate a significant gap in food consumption expenditure per capita and household dietary diversity scores between male- and female- headed households, and these gaps are as high as 28.2% and 18.1%, respectively. However, there are no statistically significant differences in vulnerability to food poverty between male- and female-headed households. The Lorenz curves confirm inequality in gendered households’ food consumption expenditure and dietary diversity scores. This study highlights the existence of systemic female-headed household vulnerability to food poverty in Ghana. This study provides significant evidence of the need for policymakers to address food systems’ structural deficiencies and inequalities with gender in mind.

     

An Experimental Study of Belief Learning Using Elicited Beliefs

This paper investigates belief learning. Unlike other investigators who have been forced to use observable proxies to approximate unobserved beliefs, we have, using a belief elicitation procedure (proper scoring rule), elicited subject beliefs directly. As a result we were able to perform a more direct test of the proposition that people behave in a manner consistent with belief learning. What we find is interesting. First to the extent that subjects tend to “belief learn,” the beliefs they use are the stated beliefs we elicit from them and not the “empirical beliefs” posited by fictitious play or Cournot models. Second, we present evidence that the stated beliefs of our subjects differ dramatically, both quantitatively and qualitatively, from the type of empirical or historical beliefs usually used as proxies for them. Third, our belief elicitation procedures allow us to examine how far we can be led astray when we are forced to infer the value of parameters using observable proxies for variables previously thought to be unobservable. By transforming a heretofore unobservable into an observable, we can see directly how parameter estimates change when this new information is introduced. Again, we demonstrate that such differences can be dramatic. Finally, our belief learning model using stated beliefs outperforms both a reinforcement and EWA model when all three models are estimated using our data.