Using the Responsible Suicide Reporting Model to increase adherence to global media reporting guidelines

Numerous guidelines on responsible reporting of suicide are available to journalists globally, offering advice on best practice regarding approaches and suitability of content. Whilst their advice is compelling and legitimate, their use is uneven at best. With a suicide death every 40 seconds worldwide, it is imperative journalists understand and recognise the best ethical practices in order to report suicide responsibly. To address these shortcomings, the authors present a model for responsible suicide reporting (RSR) that is grounded in news-work and embeds media reporting guidelines within journalistic storytelling practices. The RSR model consists of a typology of suicide narratives and ‘othering’, ethical rules and a standard of moderation. Methodologically, these typologies emerged from analysis of 159 suicide news stories published in 2018–19, with particular focus on adherence and non-adherence to global media reporting guidelines. We posit through the process of producing stories using the RSR model, journalists should interact more effectively with critical risk factors for example, stigmatisation, copycat effects, harmful speculation, highlighted by media reporting guidelines

Occupational exposure to solvents and risk of head and neck cancer in women: a population-based case–control study in France

Objective Our objective was to investigate the association between head and neck cancer and occupational exposure to chlorinated, oxygenated and petroleum solvents in women. Methods Investigation of occupational and environmental CAuses of REspiratory cancers (ICARE), a French population-based case–control study, included 296 squamous cell carcinomas of the head and neck (HNSCC) in women and 775 female controls. Lifelong occupational history was collected. Job-exposure matrices allowed to assess exposure to 5 chlorinated solvents (carbon tetrachloride; chloroform; methylene chloride; perchloroethylene; trichloroethylene), 5 petroleum solvents (benzene; special petroleum product; gasoline; white spirits and other light aromatic mixtures; diesel, fuels and kerosene) and 5 oxygenated solvents (alcohols; ketones and esters; ethylene glycol; diethyl ether; tetrahydrofuran). OR and 95% CIs, adjusted for smoking, alcohol drinking, age and geographical area, were estimated with logistic models. Results Elevated ORs were observed among women ever exposed to perchloroethylene (OR=2.97, 95% CI 1.05 to 8.45) and trichloroethylene (OR=2.15, 95% CI 1.21 to 3.81). These ORs increased with exposure duration (OR=3.75, 95% CI 0.64 to 21.9 and OR=4.44, 95% CI 1.56 to 12.6 for 10 years or more, respectively). No significantly increased risk of HNSCC was found for occupational exposure to the other chlorinated, petroleum or oxygenated solvents. Conclusions These findings suggest that exposure to perchloroethylene or trichloroethylene may increase the risk of HNSCC in women. In our study, there is no clear evidence that the other studied solvents are risk factors for HNSCC

Singularites in the Bousseneq equation and in the generalized KdV equation

In this paper, two kinds of the exact singular solutions are obtained by the improved homogeneous balance (HB) method and a nonlinear transformation. The two exact solutions show that special singular wave patterns exists in the classical model of some nonlinear wave problems

Clustering and the hyperbolic geometry of complex networks

Clustering is a fundamental property of complex networks and it is the mathematical expression of a ubiquitous phenomenon that arises in various types of self-organized networks such as biological networks, computer networks or social networks. In this paper, we consider what is called the global clustering coefficient of random graphs on the hyperbolic plane. This model of random graphs was proposed recently by Krioukov et al. as a mathematical model of complex networks, under the fundamental assumption that hyperbolic geometry underlies the structure of these networks. We give a rigorous analysis of clustering and characterize the global clustering coefficient in terms of the parameters of the model. We show how the global clustering coefficient can be tuned by these parameters and we give an explicit formula for this function.Comment: 51 pages, 1 figur

Student Knowledge of Signs, Risk Factors, and Resources for Depression, Anxiety, Sleep Disorders, and Other Mental Health Problems on Campus

A mixed methods study sought to assess student knowledge of signs, risk factors, and campus services available for mental health disorders. A survey was completed by 831 students and three focus groups were conducted. Respondents felt more knowledgeable about depression than about anxiety and sleep disorders. Graduate students and seniors had a keener awareness of risk factors for anxiety and sophomores were in the greatest danger of failing to recognize these risks. Males often failed to recognize signs and risk factors for mental health problems. Support groups, courses, and workshops on managing relationships, transition to college, and specific mental health disorders are advocated

A Pharmacogenomic and Protein Analysis of Human Lacrimal Fluid in Varying Age Groups

Proteins are large biological molecules located within all cells. They are considered the basic functional components of cells that allow them to operate appropriately. Genes consist of both DNA and RNA, and are the cellular components that code for the proteins. A biomarker is any cellular component that is an indication of a biological state. Therefore, genetic and protein biomarkers are specific genes and proteins, respectively, present in cells that indicate a specific biological state of a cell. Identification of proteins and genetic biomarkers in relative quantities has been found to reflect various disease states and age groups in humans. Comparisons of possible techniques for collecting lacrimal fluids from human subjects which could potentially be utilized in the design of the study

Symmetry Analysis of Second Harmonic Generation at Surfaces of Antiferromagnets

Using group theory we classify the nonlinear magneto-optical response at low-index surfaces of fcc antiferromagnets, such as NiO. Structures consisting of one atomic layer are discussed in detail. We find that optical second harmonic generation is sensitive to surface antiferromagnetism in many cases. We discuss the influence of a second type of magnetic atoms, and also of a possible oxygen sublattice distortion on the output signal. Finally, our symmetry analysis yields the possibility of antiferromagnetic surface domain imaging even in the presence of magnetic unit-cell doubling.Comment: 23 pages, 10 figures incorporated. Accepted to Phys. Rev. B, scheduled for July'9