Krogphelps5002

The aim of this study was to determine the prevalence of mental disorders among offenders admitted at the health establishments in Bizzah Makhathe Correctional Centre, South Africa. Structured psychiatric interviews were conducted to elicit the information. The majority of the participants were young male Africans with low educational levels and poor socio-economic status. Crimes against human beings were the most common ones committed by the offenders. The lifetime prevalence of mental disorders was 54.7%. Personality disorders, followed by substance and addictive disorders, were the most prominent disorders among the study sample. Other psychiatric disorders noted were depressive disorders, schizophrenia, intellectual disabilities and neurocognitive disorders. The results show that mental disorders in prisons go undetected and untreated, meaning that competency to stand trial and criminal responsibility are not always observed. There is a need to conduct more empirical studies on the prevalence and incidences of mental disorders in South African prisons.Expert opinions admitted by courts are not always valid and reliable. However, we know little about how indicators of opinion quality affect the persuasiveness of an expert. In this study 25 Australian magistrates and 22 jury-eligible lay people rated the persuasiveness (via credibility, value and weight) of either a high- or a low-quality expert opinion. Opinion quality was determined using attributes specified in the Expert Persuasion Expectancy (ExPEx) framework Field, Specialty, Ability and Trustworthiness. Both magistrates and jurors were significantly more persuaded by the high- than the low-quality expert opinion. Magistrates were also significantly more sceptical of the expert opinion than lay people, and when given the opportunity sought information that was logically relevant to their decision. These results suggest that magistrates can differentiate between high- and low-quality expert opinions, but it is unclear whether the information they need for the task is actually available for use during trials.The study investigated demographic, clinical and forensic characteristics of alleged offenders referred for forensic assessment. A data collection form was used to gather information from 155 offenders' clinical records. The subjects were mainly young males, aged between 18 and 35 years, with low educational levels and high unemployment rate. The most common diagnoses were substance-related and addictive disorders, and schizophrenia spectrum and other psychotic disorders. A sizeable number of offenders were diagnosed with an intellectual disability. The comorbidity of other medical conditions such as epilepsy and HIV/AIDS was also noteworthy. In total, 55.5% of the offenders were found competent to stand trial, and 46.5% were declared criminally responsible. Offenders presenting with schizophrenia and intellectual disabilities were often declared incompetent to stand trial and were generally not responsible for alleged crimes. There was association between adjudicative competence and criminal responsibility. The results highlight effect of substances on mental illness and crime.

Knowledge about the distribution of organisms on Earth is important backbone of biological sciences and especially for deeper understanding of biogeography. However, much of the existing distributional data are scattered throughout a multitude of sources (including in different languages), such as taxonomic publications, checklists and natural history collections and often, bringing them together is difficult. Development of the digital storage facilities may prevent loss of important data (Ruchin et al. 2020). Project GBIF is a good example of a successful data storage facility, which allows investigators to publish biodiversity data in one safe place in one uniform format. Our dataset describes the degree of the investigation of the fish fauna of the inland water of the Murmansk Region. TC-S 7009 order Murmansk Region is a Euro-Arctic Region with a heterogeneous landscape, which determines diversity of the habitats for the fish occurrence. Our dataset contains valid information about distribution of the fish species. Thi to everyone by adding it in the global biodiversity database (GBIF).

The dataset covers wild tracheophytes (native species, naturalised aliens and casuals) of Vladimir Oblast, Russia. It includes only one occurrence per species per grid square, thereby recently confirmed earlier records are not duplicated. Georeferences are based on the WGS84 grid scheme with 342 squares with areas ranging from 94.7 km

in the northernmost part to 98.2 km

on the southern boundary (5' lat. × 10' long.). Each occurrence is linked to the corresponding grid square centroid, therefore actual coordinates, habitat details and voucher information are unavailable. In late 2011, the earlier version of the dataset was used for the production of grid maps in the standard "Flora of Vladimir Oblast checklist and atlas". Additional records, obtained during field excursions of 2012 and 2013, were fully included in the "Flora of Vladimir Oblast grid data analysis". The stable version of the dataset with 123,054 grid records (as of 1867-2013) was published in GBIF in 2017.

Data obtained in the field duri names. As of April 2021, the dataset on the Vladimir Oblast flora represents the fourth largest dataset on vascular plants of Russia published in GBIF.

The bushfrog genus

Delorme, Dubois, Grosjean & Ohler, 2005 is found in southern and south-western China, Vietnam, Laos, Thailand and Myanmar. It is presently comprised of 17 species. In Thailand, only two species have been recorded, namely

(Boulenger) and

(Massui, Khonsue, Panha & Eto). The latter of these two species is currently known to be endemic to the country.

Based on recent field work conducted in 2019 in Doi Phu Kha National Park, Nan Province of northern Thailand, we are reporting two new records of the genus

,

and

, from Thailand, based on morphological and molecular evidence. In addition, this is the first study to report on the identification of a female specimen of

. Furthermore, morphological data and natural history notes of the aforementioned species in Thailand have been provided, along with updated locations for the distribution of both species.

Based on recent field work conducted in 2019 in Doi Phu Kha National Park, Nan Province of northern Thailand, we are reporting two new records of the genus Gracixalus, G.