Privacy concerns with using public data for suicide risk prediction algorithms: a public opinion survey of contextual appropriateness

Purpose Existing algorithms for predicting suicide risk rely solely on data from electronic health records, but such models could be improved through the incorporation of publicly available socioeconomic data – such as financial, legal, life event and sociodemographic data. The purpose of this study is to understand the complex ethical and privacy implications of incorporating sociodemographic data within the health context. This paper presents results from a survey exploring what the general public’s knowledge and concerns are about such publicly available data and the appropriateness of using it in suicide risk prediction algorithms. Design/methodology/approach A survey was developed to measure public opinion about privacy concerns with using socioeconomic data across different contexts. This paper presented respondents with multiple vignettes that described scenarios situated in medical, private business and social media contexts, and asked participants to rate their level of concern over the context and what factor contributed most to their level of concern. Specific to suicide prediction, this paper presented respondents with various data attributes that could potentially be used in the context of a suicide risk algorithm and asked participants to rate how concerned they would be if each attribute was used for this purpose. Findings The authors found considerable concern across the various contexts represented in their vignettes, with greatest concern in vignettes that focused on the use of personal information within the medical context. Specific to the question of incorporating socioeconomic data within suicide risk prediction models, the results of this study show a clear concern from all participants in data attributes related to income, crime and court records, and assets. Data about one’s household were also particularly concerns for the respondents, suggesting that even if one might be comfortable with their own being used for risk modeling, data about other household members is more problematic. Originality/value Previous studies on the privacy concerns that arise when integrating data pertaining to various contexts of people’s lives into algorithmic and related computational models have approached these questions from individual contexts. This study differs in that it captured the variation in privacy concerns across multiple contexts. Also, this study specifically assessed the ethical concerns related to a suicide prediction model and determining people’s awareness of the publicness of select data attributes, as well as which of these data attributes generated the most concern in such a context. To the best of the authors’ knowledge, this is the first study to pursue this question.

Facilitative Parenting of Adolescent Self Disclosure

This study aims to find out empirically whether there is a relationship between facilitative parenting and adolescent self-disclosure. The hypothesis used is that there is a positive relationship between facilitative parenting and adolescent self-disclosure. Where the higher the level of concern, the higher the level of self-disclosure of adolescents when they are high and concern is low, the lower the self-disclosure of adolescents. The research subjects were students living with their parents, female and male and aged 15-18 years. The number of research subjects was 82 people, consisting of 35 women and 27 men. The adolescent self-disclosure scale that based on the theory of Buhrmester & Prager in Bauminger (2008). Parenting scale based on theory and Grolnick (2009). Method of data analysis using product moment correlation technique. The results of the analysis have a normal data distribution with a linear correlation. While the correlation coefficient between maternal parenting and adolescent self-disclosure to mothers is 0.494 and p = 0.000 (p <0.05) with an effective contribution of 0.244. While the father's self-disclosure analysis obtained the results of 0.727 and p = 0.000 (p <0.05) with an effective contribution of 0.529

The Impact of Endoscopy Sedation Information Sheets on the Level of Concern Regarding Possible Awareness in Patients Undergoing Endoscopy Sedation

Sedation encompasses a continuum from complete unconsciousness to drowsiness and anxiolysis where some awareness might be expected. Most patients undergoing endoscopy sedation expect to be completely unconscious during the procedure and thus have unmet expectations regarding their state of consciousness. This study aimed to evaluate whether endoscopy sedation information sheets reduce the level of concern regarding possible awareness during endoscopy sedation at a major regional hospital. Our findings were that 28.8% of patients who received the endoscopy sedation information sheet (n = 82) were concerned about awareness during the procedure, compared to 36.5% of patients in the control group (n = 105). However, the difference was not statistically significant. We also found that the incidence of awareness was higher (13.9%) in the intervention group compared to 8.8% in the control group but, again, not statistically different. This study allowed us to elucidate the level of concern regarding possible awareness during sedation and the incidence of awareness during endoscopy sedation. This will enable future work investigating the role of endoscopy sedation information methods involving written and video material in assisting pre-procedure patient counselling.

The Development of SARS-CoV-2 Variants: The Gene Makes the Disease

A novel coronavirus (SARS-CoV-2) emerged towards the end of 2019 that caused a severe respiratory disease in humans called COVID-19. It led to a pandemic with a high rate of morbidity and mortality that is ongoing and threatening humankind. Most of the mutations occurring in SARS-CoV-2 are synonymous or deleterious, but a few of them produce improved viral functions. The first known mutation associated with higher transmissibility, D614G, was detected in early 2020. Since then, the virus has evolved; new mutations have occurred, and many variants have been described. Depending on the genes affected and the location of the mutations, they could provide altered infectivity, transmissibility, or immune escape. To date, mutations that cause variations in the SARS-CoV-2 spike protein have been among the most studied because of the protein’s role in the initial virus–cell contact and because it is the most variable region in the virus genome. Some concerning mutations associated with an impact on viral fitness have been described in the Spike protein, such as D614G, N501Y, E484K, K417N/T, L452R, and P681R, among others. To understand the impact of the infectivity and antigenicity of the virus, the mutation landscape of SARS-CoV-2 has been under constant global scrutiny. The virus variants are defined according to their origin, their genetic profile (some characteristic mutations prevalent in the lineage), and the severity of the disease they produce, which determines the level of concern. If they increase fitness, new variants can outcompete others in the population. The Alpha variant was more transmissible than previous versions and quickly spread globally. The Beta and Gamma variants accumulated mutations that partially escape the immune defenses and affect the effectiveness of vaccines. Nowadays, the Delta variant, identified around March 2021, has spread and displaced the other variants, becoming the most concerning of all lineages that have emerged. The Delta variant has a particular genetic profile, bearing unique mutations, such as T478K in the spike protein and M203R in the nucleocapsid. This review summarizes the current knowledge of the different mutations that have appeared in SARS-CoV-2, mainly on the spike protein. It analyzes their impact on the protein function and, subsequently, on the level of concern of different variants and their importance in the ongoing pandemic.

PENGGEMBALAAN YANG EFEKTIF BAGI GENERASI MILENIAL DI ERA SOCIETY 5.0

The results of the Barna Institute stated that 57% of children aged 18-29 years did not regularly worship. While a survey from Number Research in the age range of 15-18 years, adolescents who do not usually worship are 7.7%. That increased to 10.2% at the age of 19-22 years and reached 13.7% at this age of 23-25 years. Their level of concern for God and worship decreased drastically. The local church lost its way of shepherding them. Shepherd stewardship did not develop linearly with the development of social media. How should shepherd be? What strategies are used be in face-to-face pastoral care and virtual spaces? This paper aims to restore the quality of pastoring function and bridge the logical church pastoring caretaker with the virtual world. The research method used is a qualitative method with literature study and observation. This research hoped to maximize the shepherding and discipleship of millennial children. So that millennial children experience spiritual growth, remain committed to shepherding, and contribute to local and virtual services on an ongoing basis

Observable player behaviours and playing performance following helmet strikes in elite cricket

ObjectivesInvestigate the observable player behaviours and features of both concussive (HS-C) and non-concussive (HS-NC) helmet strikes and describe their impact on playing performance.MethodsElite male cricketers sustaining helmet strikes between the 2016 and 2018 seasons were identified by the England and Wales Cricket Board. Medical records identified players sustaining a concussion and those in whom concussion was excluded. Retrospective cohort analysis was performed on batting and bowling performance data available for these players in the 2 years prior to and 3 months post helmet strike. Video analysis of available incidents was conducted to describe the characteristics of the helmet strike and subsequent observable player behaviours. The HS-C and HS-NC cohorts were compared.ResultsData were available for 194 helmet strikes. 56 (29%) resulted in concussion. No significant differences were seen in playing performance in the 3 months post concussive helmet strike. However, a significant decline in batting performance was seen in this period in the HS-NC group (p<0.001).Video features signifying motor incoordination were most useful in identifying concussion post helmet strike, however, typical features suggesting transient loss of consciousness were not seen. Features such as a longer duration pause prior to the batsman resuming play and the level of concern shown by other players were also useful features.ConclusionHS-NC may be more significant for player performance than previously thought. Guidance for using video replay to identify concussion in cricket may need to be modified when compared with other field sports.

The Determinants of Landscape and Cultural Heritage Among Italian Regions in the Period 2004-2019

We estimate the Landscape and Cultural Heritage among Italian regions in the period 2004-2019 using data from ISTAT-BES. We use Panel Data with Fixed Effects, Panel Data with Random Effects, Pooled OLS, WLS, Dynamic Panel. We found that the Landscape and Cultural Heritage is negatively associated with “Dissatisfaction with the landscape of the place of life”, “Illegal building”, “Density and relevance of the museum heritage”, “Internal material consumption”, “Erosion of the rural space due to abandonment”, “Availability of urban green”, and positively associated with “Pressure from mining activities”, “Erosion of the rural space by urban dispersion”, “Concern about the deterioration of the landscape”, “Diffusion of agritourism farms”, “Current expenditure of the Municipalities for culture”. Secondly, we have realized a cluster analysis with the k-Means algorithm optimized with the Silhouette Coefficient and we found two clusters in the sense of “Concern about the deterioration of the landscape”. Finally, we use eight different machine learning algorithms to predict the level of “Concern about the deterioration of the landscape” and we found that the Tree Ensemble Regression is the best predictor.

Climate Change Concerns of Saudi Arabian Farmers: The Drivers and Their Role in Perceived Capacity Building Needs for Adaptation

Climate change is a serious threat to the sustainability of global agriculture and food supply that necessitates taking appropriate action for building resilient food production systems and preserving rural economies. In this regard, farmers’ beliefs and concerns about the effects of climate change on agriculture may influence their adoption of adaptation and mitigation practices to address this emerging issue. This work was undertaken to evaluate farmers’ level of concern about climate change in the Jazan province of Saudi Arabia. The study also explored the role of various socioeconomic indicators in shaping farmers’ concerns and highlights various capacity-building initiatives that can be applied at the community level for effective adaptation. Ordered logistic regression was used to study the relationship between farmers’ level of concern and their need for capacity-building initiatives to tackle climate change. Results indicated that insect infestation is the farmers’ top concern, followed by higher crop-diseases incidence and drought. Regression analysis revealed that farmers’ income is a major factor that reduces their concern for insect infestation and crop disease while increases concern for drought. Credit access and information availability have a mixed impact on the farmers’ concern level. Capacity-building initiatives deemed necessary included establishing frequent contacts with extension personnel, timely warnings on droughts and other natural hazards, the training of farmers and extension workers, easy credit facilities, improvement in rural infrastructure and creation of awareness to address specific concern stimulus.

A review of responsible management education: practices, outcomes and challenges

PurposeResearch on management education (ME) over the past 2 decades signals a growing level of concern in response to increasing societal demands for ethical, responsible and sustainable considerations in management decisions in light of the current economic situation. The purpose of this paper is to review extant literature on responsible management education (RME) over the past decade.Design/methodology/approachThe author carried out a systematic literature review of peer-reviewed publications, which were mapped and analysed according to the following six categories: (1) types of papers, (2) geographical context, (3) RME purpose, (4) strategies, (5) intended outcomes and (6) challenges. The analysis resulted in a descriptive overview of article content and synthesis of review data categorised by topical focus.FindingsAnalysis of the review sample reveals how scholarly interest in RME has accelerated over the last decade. This is accompanied by a growing institutionalisation and development of RME. The descriptive analysis indicates that the vast majority of publications focus on RME implementation strategies, mostly focussing on on-campus – curricular, pedagogical and operational – changes and the unique experiences of particular schools. Recent publications reveal interest in how RME can respond to triple bottom line (TBL) concerns that benefit the wider society and to sustainable development (SD) goals that target the local and global community. A budding interest is revealed in examining the perceptions of diverse stakeholder groups of sustainability requirements in RME curricula to create relevant and practical content.Originality/valueThis paper contributes to the adoption and/or development of RME.

Community Attitudes Reflect Reporting Rates and Prevalence of Animal Mistreatment

Community attitudes toward the treatment of animals are important to understand for the development of intervention programs to prevent mistreatment. We aimed to investigate whether previously identified differences between local government areas (LGAs) in the rates of animal mistreatment reporting and prevalence were reflected by differences in community attitudes. In addition, attitudinal differences based on target species (dogs, cats, horses) and participant gender were considered. A representative telephone survey (N = 1,801) was conducted across six LGAs. Attitudinal themes included affection toward animals, valuing of animals, attitudes toward caring for own animals, and concern for the mistreatment of other animals. Factorial ANOVA was used to identify differences between high and low reporting LGAs, region types (regional, interface, metropolitan), and target species (cat, dog, horse). Respondents from high reporting LGAs demonstrated slightly more affection for animals F(1,1679) = 19.401, p &lt; 0.001, ωp2 = 0.011 and stronger subjective norms F(1,999) = 16.31, p &lt; 0.001, ωp2 = 0.015 than those from low reporting LGAs, but did not differ on the other variables. Participants in areas of high prevalence (regional areas) did not display lower levels of affection or concern for the mistreatment of animals as a whole, nor did they value animals less. However, regional differences were found for several items regarding caring for one's own animals: two behavioral beliefs and two control beliefs. Additionally various differences were found between the regions regarding the level of concern for mistreatment when broken down into the different species. Gender effects were also common. While the attitudinal results do reflect animal mistreatment prevalence and reporting rates, they also highlight the complexity of community attitudes. As such, interventions to prevent mistreatment must have clear targets including the audience, behavior, and species. Targeting smaller regions and thoroughly investigating their unique perspectives, challenges, and strengths are likely to be more effective than generic campaigns.