A counselling line for problem and pathological gambling in South Africa: Preliminary data analysis

Abstract Objective Various countries and states have established telephone counselling lines for people with pathological or problem gambling. Data from such services may contribute to describing systematically the nature of gambling problems in a particular area. To date, however, few data have been published on such a telephone counselling line in a low or middle income country. Method Data on calls to the telephone counselling line of the National Responsible Gambling Foundation of South Africa were captured over a 6-month period. Such data include socio-demographic variables, the primary reason for calling, the source of the referral, preferred method of gambling, impairment as a consequence of gambling, and history of treatment for psychiatric disorders, comorbid alcohol abuse and illicit drug use. Results Calls were received from a broad range of people; the mean age of callers was 37 years, the majority were male (62%) and many were married (45%). Primary reasons for calling included the feeling of being unable to stop gambling without the help of a professional (41%), financial concerns (32%), legal problems (13%), pressure from family (10%), and suicidal thoughts (2%). The majority of callers contacted the counselling line after having heard about it by word of mouth (70%). The most common forms of gambling were slot machines (51%) and casino games (21%). Fourteen percent of callers reported having received help for other psychiatric disorders, 11% reported alcohol use disorders and 6% illicit drug use. Conclusion These data from South Africa are consistent with prior research indicating that pathological and problem gambling are seen in a range of socio-demographic groups, and that such behaviour is associated with significant morbidity and comorbidity. More work is needed locally to inform younger gamblers, gamblers using the informal gambling sector, and unemployed gamblers of the existing telephone counselling lines

Meeting Report: Application of Genotyping Methods to Assess Risks from Cryptosporidium in Watersheds

A workshop titled “Application of Genotyping Methods to Assess Pathogen Risks from Cryptosporidium in Drinking Water Catchments” was held at the International Water Association biennial conference, Marrakech, Morocco, 23 September 2004. The workshop presented and discussed the findings of an interlaboratory trial that compared methods for genotyping Cryptosporidium oocysts isolated from feces. The primary goal of the trial and workshop was to assess the utility of current Cryptosporidium genotyping methods for determining the public health significance of oocysts isolated from feces in potable-water–supply watersheds. An expert panel of 16 watershed managers, public health practitioners, and molecular parasitologists was assembled for the workshop. A subordinate goal of the workshop was to educate watershed management and public health practitioners. An open invitation was extended to all conference delegates to attend the workshop, which drew approximately 50 interested delegates. In this report we summarize the peer consensus emerging from the workshop. Recommendations on the use of current methods by watershed managers and public health practitioners were proposed. Importantly, all the methods that were reported in the trial were mutually supporting and found to be valuable and worthy of further utility and development. Where there were choices as to which method to apply, the small-subunit ribosomal RNA gene was considered to be the optimum genetic locus to target. The single-strand conformational polymorphism method was considered potentially the most valuable for discriminating to the subtype level and where a large number of samples were to be analyzed. A research agenda for protozoan geneticists was proposed to improve the utility of methods into the future. Standardization of methods and nomenclature was promoted

Systems of systems engineering: A research imperative

Systems of Systems Engineering constitutes a major challenge for the 21st Century and research into this topic has become an imperative. The Support Action, T-AREA-SoS has been initiated by the European Commission to develop a research agenda in Systems of Systems (SoS) that will inform future investment in this area. Through an extensive consultation and review, a number of SoS capability gaps have been identified. Through structuring and subsequent consultation, these have been developed into twelve research themes the detailed areas of which are mapped to the three SoS characteristics of control, evolution, and emergent behaviour. A framework is presented through which researchers can develop a research campaign in SoS. © 2013 IEEE

Heterogeneity of Human Neutrophil CD177 Expression Results from CD177P1 Pseudogene Conversion

Most humans harbor both CD177neg and CD177pos neutrophils but 1–10% of people are CD177null, placing them at risk for formation of anti-neutrophil antibodies that can cause transfusion-related acute lung injury and neonatal alloimmune neutropenia. By deep sequencing the CD177 locus, we catalogued CD177 single nucleotide variants and identified a novel stop codon in CD177null individuals arising from a single base substitution in exon 7. This is not a mutation in CD177 itself, rather the CD177null phenotype arises when exon 7 of CD177 is supplied entirely by the CD177 pseudogene (CD177P1), which appears to have resulted from allelic gene conversion. In CD177 expressing individuals the CD177 locus contains both CD177P1 and CD177 sequences. The proportion of CD177hi neutrophils in the blood is a heritable trait. Abundance of CD177hi neutrophils correlates with homozygosity for CD177 reference allele, while heterozygosity for ectopic CD177P1 gene conversion correlates with increased CD177neg neutrophils, in which both CD177P1 partially incorporated allele and paired intact CD177 allele are transcribed. Human neutrophil heterogeneity for CD177 expression arises by ectopic allelic conversion. Resolution of the genetic basis of CD177null phenotype identifies a method for screening for individuals at risk of CD177 isoimmunisation

Kicking Prejudice: Large Language Models for Racism Classification in Soccer Discourse on Social Media

In the dynamic space of Twitter, now called X, interpersonal racism surfaces when individuals from dominant racial groups engage in behaviours that diminish and harm individuals from other racial groups. It can be manifested in various forms, including pejorative name-calling, racial slurs, stereotyping, and microaggressions. The consequences of racist speech on social media are profound, perpetuating social division, reinforcing systemic inequalities, and undermining community cohesion. In the specific context of football discourse, instances of racism and hate crimes are well-documented. Regrettably, this issue has seamlessly migrated to the football discourse on social media platforms, especially Twitter. The debate on Internet freedom and social media moderation intensifies, balancing the right to freedom of expression against the imperative to protect individuals and groups from harm. In this paper, we address the challenge of detecting racism on Twitter in the context of football by using Large Language Models (LLMs). We fine-tuned different BERT-based model architectures to classify racist content in the Twitter discourse surrounding the UEFA European Football Championships. The study aims to contribute insights into the nuanced language of hate speech in soccer discussions on Twitter while underscoring the necessity for context-sensitive model training and evaluation. Additionally, Explainable Artificial Intelligence (XAI) techniques, specifically the Integrated Gradient method, are used to enhance transparency and interpretability in the decision-making processes of the LLMs, offering a comprehensive approach to mitigating racism and offensive language in online sports discourses

Interlaboratory study for coral Sr/Ca and other element/Ca ratio measurements

The Sr/Ca ratio of coral aragonite is used to reconstruct past sea surface temperature (SST). Twentyone laboratories took part in an interlaboratory study of coral Sr/Ca measurements. Results show interlaboratory bias can be significant, and in the extreme case could result in a range in SST estimates of 7°C. However, most of the data fall within a narrower range and the Porites coral reference material JCp- 1 is now characterized well enough to have a certified Sr/Ca value of 8.838 mmol/mol with an expanded uncertainty of 0.089 mmol/mol following International Association of Geoanalysts (IAG) guidelines. This uncertainty, at the 95% confidence level, equates to 1.5°C for SST estimates using Porites, so is approaching fitness for purpose. The comparable median within laboratory error is <0.5°C. This difference in uncertainties illustrates the interlaboratory bias component that should be reduced through the use of reference materials like the JCp-1. There are many potential sources contributing to biases in comparative methods but traces of Sr in Ca standards and uncertainties in reference solution composition can account for half of the combined uncertainty. Consensus values that fulfil the requirements to be certified values were also obtained for Mg/Ca in JCp-1 and for Sr/Ca and Mg/Ca ratios in the JCt-1 giant clam reference material. Reference values with variable fitness for purpose have also been obtained for Li/Ca, B/Ca, Ba/Ca, and U/Ca in both reference materials. In future, studies reporting coral element/Ca data should also report the average value obtained for a reference material such as the JCp-1

Involvement of mTOR in CXCL12 Mediated T Cell Signaling and Migration

CXCL12 is a pleiotropic chemokine involved in multiple different processes such as immune regulation, inflammatory responses, and cancer development. CXCL12 is also a potent chemokine involved in chemoattraction of T cells to the site of infection or inflammation. Mammalian target of rapamycin (mTOR) is a serine-threonine kinase that modulates different cellular processes, such as metabolism, nutrient sensing, protein translation, and cell growth. The role of mTOR in CXCL12-mediated resting T cell migration has yet to be elucidated.Rapamycin, an inhibitor of mTOR, significantly inhibits CXCL12 mediated migration of both primary human resting T cells and human T cell leukemia cell line CEM. p70(S6K1), an effector molecule of mTOR signaling pathway, was knocked down by shRNA in CEM cells using a lentiviral gene transfer system. Using p70(S6K1) knock down cells, we demonstrate the role of mTOR signaling in T cell migration both in vitro and in vivo.Our data demonstrate a new role for mTOR in CXCL12-induced T cell migration, and enrich the current knowledge regarding the clinical use of rapamycin

Microbial Biogeography of Public Restroom Surfaces

We spend the majority of our lives indoors where we are constantly exposed to bacteria residing on surfaces. However, the diversity of these surface-associated communities is largely unknown. We explored the biogeographical patterns exhibited by bacteria across ten surfaces within each of twelve public restrooms. Using high-throughput barcoded pyrosequencing of the 16 S rRNA gene, we identified 19 bacterial phyla across all surfaces. Most sequences belonged to four phyla: Actinobacteria, Bacteriodetes, Firmicutes and Proteobacteria. The communities clustered into three general categories: those found on surfaces associated with toilets, those on the restroom floor, and those found on surfaces routinely touched with hands. On toilet surfaces, gut-associated taxa were more prevalent, suggesting fecal contamination of these surfaces. Floor surfaces were the most diverse of all communities and contained several taxa commonly found in soils. Skin-associated bacteria, especially the Propionibacteriaceae, dominated surfaces routinely touched with our hands. Certain taxa were more common in female than in male restrooms as vagina-associated Lactobacillaceae were widely distributed in female restrooms, likely from urine contamination. Use of the SourceTracker algorithm confirmed many of our taxonomic observations as human skin was the primary source of bacteria on restroom surfaces. Overall, these results demonstrate that restroom surfaces host relatively diverse microbial communities dominated by human-associated bacteria with clear linkages between communities on or in different body sites and those communities found on restroom surfaces. More generally, this work is relevant to the public health field as we show that human-associated microbes are commonly found on restroom surfaces suggesting that bacterial pathogens could readily be transmitted between individuals by the touching of surfaces. Furthermore, we demonstrate that we can use high-throughput analyses of bacterial communities to determine sources of bacteria on indoor surfaces, an approach which could be used to track pathogen transmission and test the efficacy of hygiene practices