The synergistic effect between positivity, socio-demographic factors and smoking cessation: results of a cohort study

OBJECTIVE: To examine the extent to which a effect does exist between Positivity (POS), smoking and socio-demographic factors in determining quitting smoking in subjects participating in a Group Counselling Program (GCP) for smoking cessation.METHODS: 481 subjects were contacted through a telephone call. A logistic regression analysis was carried out. Possible interaction between sociodemographic variables and POS level was tested using the Synergism Index (SI).RESULTS: For individuals with a POS level over or equal to 3.4 the odds of being smoker was significantly higher among females (OR = 1.55), who smoked at home (OR = 2.16) and lower if there had children at home (OR = 0.53). For individuals with a POS level under 3.4, the only significant variable associated with smoking was beinga female (OR = 2.58). As far concerns the synergistic effect between the variables considered does exist between POS levels and having children at home (SI=1.13) and female gender (SI = 2.8).CONCLUSIONS: The synergistic effect between POS and sociodemographic factors adds evidence on the use of POS as possible determinants of individual happiness

Users’ encounter with normative discourses on Facebook:A three-pronged analysis of user agency as power structure, nexus and reception

This study asks whether users’ encounter with normative discourses of lifestyle, consumption, and health on social media such as Facebook gives rise to agency. The theoretical framework draws on reception analysis, for its implied, but central interest in agency that lies at the intersection of texts and audiences. Based on a critique of the “participatory paradigm,” a paradigm that situates the locus of agency in the structural opposition between senders and users, in the norms of rational deliberation or in the figure of the activist, gaps are identified which can be filled by adopting an explicit focus on the socio-cultural practices of ordinary audiences in their encounters with media discourses. The study investigates user agency on seven Facebook groups and pages with the help of a three-pronged perspective based on the notion of the media–audience relationship as (1) power structure, (2) nexus, and (3) reception. The analysis reveals that the structure at play on these Facebook groups and pages does not encourage user agency. However, user agency manifests itself through user interactions and expressive sense-making processes associated with reception. The benefits of such audience agency are a public, collective, and communicative sense-making process and an expansion of the professionally controlled text

Examining user comments for deliberative democracy: a corpus-driven analysis of the climate change debate online

The public perception of climate change is characterized by heterogeneity, even polarization. Deliberative discussion is regarded by some as key to overcoming polarization and engaging various publics with the complex issue of climate change. In this context, online engagement with news stories is seen as a space for a new “deliberative democratic potential” to emerge. This article examines aspects of deliberation in user comment threads in response to articles on climate change taken from the Guardian. “Deliberation” is understood through the concepts “reciprocity”, “topicality”, and “argumentation”. We demonstrate how corpus analysis can be used to examine the ways in which online debates around climate change may create or deny opportunities for multiple voices and deliberation. Results show that whilst some aspects of online discourse discourage alternative viewpoints and demonstrate “incivility”, user comments also show potential for engaging in dialog, and for high levels of interaction

“It’s a terrible way to go to work:” what 70 million readers’ comments on the Guardian revealed about hostility to women and minorities online

In 2006, the Guardian opened many of its articles to readers’ comments to encourage a “conversation” between journalists and their readers. Readers responded enthusiastically, and by 2016 they had posted 70 million comments on the site. However, from the outset many journalists complained about the quality and tone of comments. Female and BAME (Black, Asian and minority ethnic) journalists in particular complained that they were subject to more abuse than their male, white counterparts. This study finds prima facie evidence to support the journalists’ claims. Using comments that had been blocked by moderators as a proxy for abuse and dismissive trolling, it was found that articles written by women did attract a higher percentage of blocked comments than those written by men, regardless of the subject of the article; this effect was heightened when the articles ran in a particularly male-dominated section of the site. There was also evidence that articles written by BAME writers attracted disproportionate levels of blocked comments, even though the research was not designed to reveal this. Preliminary research findings were published in the Guardian and readers were invited to comment on them. Guardian journalists’ experiences of comments were also surveyed. Both sets of responses are analysed here, in order to explore the contested nature of online abuse in an online news media environment, and to evaluate the potential of comments to “democratise” journalism

Transcriptome analysis of haploid male gametophyte development in Arabidopsis

BACKGROUND: The haploid male gametophyte generation of flowering plants consists of two- or three-celled pollen grains. This functional specialization is thought to be a key factor in the evolutionary success of flowering plants. Moreover, pollen ontogeny is also an attractive model in which to dissect cellular networks that control cell growth, asymmetric cell division and cellular differentiation. Our objective, and an essential step towards the detailed understanding of these processes, was to comprehensively define the male haploid transcriptome throughout development. RESULTS: We have developed staged spore isolation procedures for Arabidopsis and used Affymetrix ATH1 genome arrays to identify a total of 13,977 male gametophyte-expressed mRNAs, 9.7% of which were male-gametophyte-specific. The transition from bicellular to tricellular pollen was accompanied by a decline in the number of diverse mRNA species and an increase in the proportion of male gametophyte-specific transcripts. Expression profiles of regulatory proteins and distinct clusters of coexpressed genes were identified that could correspond to components of gametophytic regulatory networks. Moreover, integration of transcriptome and experimental data revealed the early synthesis of translation factors and their requirement to support pollen tube growth. CONCLUSIONS: The progression from proliferating microspores to terminally differentiated pollen is characterized by large-scale repression of early program genes and the activation of a unique late gene-expression program in maturing pollen. These data provide a quantum increase in knowledge concerning gametophytic transcription and lay the foundations for new genomic-led studies of the regulatory networks and cellular functions that operate to specify male gametophyte development

Genomic Analysis of QTLs and Genes Altering Natural Variation in Stochastic Noise

Quantitative genetic analysis has long been used to study how natural variation of genotype can influence an organism's phenotype. While most studies have focused on genetic determinants of phenotypic average, it is rapidly becoming understood that stochastic noise is genetically determined. However, it is not known how many traits display genetic control of stochastic noise nor how broadly these stochastic loci are distributed within the genome. Understanding these questions is critical to our understanding of quantitative traits and how they relate to the underlying causal loci, especially since stochastic noise may be directly influenced by underlying changes in the wiring of regulatory networks. We identified QTLs controlling natural variation in stochastic noise of glucosinolates, plant defense metabolites, as well as QTLs for stochastic noise of related transcripts. These loci included stochastic noise QTLs unique for either transcript or metabolite variation. Validation of these loci showed that genetic polymorphism within the regulatory network alters stochastic noise independent of effects on corresponding average levels. We examined this phenomenon more globally, using transcriptomic datasets, and found that the Arabidopsis transcriptome exhibits significant, heritable differences in stochastic noise. Further analysis allowed us to identify QTLs that control genomic stochastic noise. Some genomic QTL were in common with those altering average transcript abundance, while others were unique to stochastic noise. Using a single isogenic population, we confirmed that natural variation at ELF3 alters stochastic noise in the circadian clock and metabolism. Since polymorphisms controlling stochastic noise in genomic phenotypes exist within wild germplasm for naturally selected phenotypes, this suggests that analysis of Arabidopsis evolution should account for genetic control of stochastic variance and average phenotypes. It remains to be determined if natural genetic variation controlling stochasticity is equally distributed across the genomes of other multi-cellular eukaryotes

Clinical characteristics of coronavirus disease (COVID-19) early findings from a teaching hospital in Pavia, North Italy, 21 to 28 February 2020

We describe clinical characteristics, treatments and outcomes of 44 Caucasian patients with coronavirus disease (COVID-19) at a single hospital in Pavia, Italy, from 21\u201328 February 2020, at the beginning of the outbreak in Europe. Seventeen patients developed severe disease, two died. After a median of 6 days, 14 patients were discharged from hospital. Predictors of lower odds of discharge were age>65 years, antiviral treatment and for severe disease, lactate dehydrogenase >300 mg/dL