Adolescent school injuries and classroom sex compositions in German secondary schools

Background School injuries are an important adolescent health problem. Previous research suggests that relevant risk behaviors for school injuries, risk-taking and aggression, are highly susceptible to peer effects. Specifically, evidence suggests that the ratio of men and women in peer groups (sex ratio) affects individuals’ propensity for aggression and risk-taking. However, potential associations of classroom sex ratios with adolescent school injury risks have not been studied so far. The purpose of this paper is to investigate the association of classroom sex compositions with adolescent school injuries. Methods We investigate the association of classroom sex ratios with school injuries in a longitudinal survey dataset containing 13,131 observations from 9,204 adolescent students (ages 13-16) from secondary schools in Germany. The data also allow us to identify injuries due to aggressive behavior and analyze these injuries in detail. We use multilevel logistic regression models to analyze risks of both overall and aggression-related school injuries. Results Adolescent students’ risk for school injuries is significantly and positively associated with male-skewed classroom sex ratios (OR = 1.012, p=0.012). Specifically, the risk of sustaining a school injury increases by 33.5 percent when moving from the 10th to the 90th classroom sex ratio percentile. Moreover, we find an even stronger positive association between male-dominated classrooms and aggression-related injury risks (OR = 1.022, p=0.010). Compared to classroom sex ratios at the 10th percentile, the risk of an aggression-related injury is 78 percent higher in classrooms with a sex ratio at the 90th percentile. Finally, we find that both boys’ and girls’ injury risks equally increase with a higher proportion of male students in their classroom. Conclusions Our findings indicate that sex composition of classrooms is an important contextual factor for adolescent school injuries, in particular school injuries resulting from aggression. These findings illustrate the need to integrate a contextual perspective on school injuries among adolescent students both into research and into intervention planning.

Efficient and Comprehensive Integrity Diagnostics for Dual Completion String Wells, Using Spectral Noise Analyzer Tool

Well operators often face various technical challenges when intervening and repairing older, mature field wells. The most common problem associated with aging wells are tubing and casing integrity. Uncertain sources of downhole leaks and data ambiguity often lead to incorrect diagnostics that can hinder repair work or even contribute to additional or worsened integrity issues. Operators continuously challenge service companies and technology providers to drive innovation. One such challenge is in finding efficient and comprehensive integrity diagnostics for dual-string wells. A basic and general diagnostic method to verify well integrity in dual-string wells involves setting plugs in the long and short strings and pressure testing the tubings. These operations are generally time consuming, and the test data does not usually pinpoint the location of the leak, if any. Since 2016 a new diagnostic solution for this challenge has been implemented using a slickline-deployed passive acoustic logging technique. Carefully designed intervention planning, combined with efficient data acquisition, led to significant time saving and improved data quality. A more complete assessment of the integrity of both strings is now more frequent and often necessary, while challenging the conventional thinking of having to assess the lower string only while assuming the upper string is in good condition. However, investigating dual-string integrity with uncertainty on the source of leak, restrictions on facilities and limitations on surveillance time will often waste more time and money if not approached carefully. This paper discusses two case studies, including a dual-string oil producer in the South China Sea that had sustained pressure in production casing annulus. The well operator initially considered that the long string had an integrity issue, while the short string did not, based on their surface-based annulus pressure diagnostics. Consequently, the operator decided to diagnose only the long string. The passive acoustic memory tool. combined with a fast-response temperature and spinner used for the diagnosis, identified a possible short string leak while logging through the long string. This result clearly demonstrated that surface analyses can be misleading, and a comprehensive downhole diagnostic should be the recommended method to identify leaks, especially in dual-string completions. This well operator has completed more than 100 integrity diagnostic runs in the last five years. The passive acoustic diagnostic interventions have resulted in an average 50-percent time saving compared to legacy methods, and data analysis results have led to significant improvements in well productivity.

A Summary of Current Findings on Quality of Life Domains and a Proposal for Their Inclusion in Clinical Interventions

Whilst the assessment of quality of life (QoL) and well-being has burgeoned in the past 50 years, there still remains relatively little research into its treatment in psychology, in spite of the launching of such approaches as positive psychology to widen the ambit of interventions to promote well-being. We posit that there are a number of outstanding QoL areas that could be integrated into standard therapeutic procedures, and that this would this result in an increase in well-being as a therapeutic outcome. To investigate this an exploratory search of the literature was undertaken of associations between improvements in a life domain and increased well-being or QoL. Ten domains (relationships, work, money, health, and leisure, mindfulness, self-esteem, resolution of past life events, mental style and life management skills) were identified. In view of the substantial evidence of the cumulative impact of these domains upon well-being, it is proposed that conducting a unidimensional clinical intervention that focuses only on the presenting issue is not sufficient. Implications and possible therapeutic pathways are discussed and it is recommended that practitioners include such QoL domains in their assessment, case formulation, and intervention planning.

Hierarchical Representation of Complex Intervention Sequences for Automated Subgroup Analysis in Critical Care Settings

Our understanding of the impact of interventions in critical care is limited by the lack of techniques that represent and analyze complex intervention spaces applied across heterogeneous patient populations. Existing work has mainly focused on selecting a few interventions and representing them as binary variables, resulting in oversimplification of intervention representation. The goal of this study is to find effective representations of sequential interventions to support intervention effect analysis. To this end, we have developed Hi-RISE (Hierarchical Representation of Intervention Sequences), an approach that transforms and clusters sequential interventions into a latent space, with the resulting clusters used for heterogenous treatment effect analysis. We apply this approach to the MIMIC III dataset and identified intervention clusters and corresponding subpopulations with peculiar odds of 28-day mortality. Our approach may lead to a better understanding of the subgroup-level effects of sequential interventions and improve targeted intervention planning in critical care settings.

A Tool and Mathematical Model for Estimation of Wells Initial Water-Cut and Residual Oil Reserves on Large-Sized Oil Fields

Oil production forecasting and well intervention planning require an accurate estimation of the remaining oil in place (ROIP). The problem of ROIP maps generation can be solved using commercial software; however, in the case of large fields, this requires significant computing resources and takes a big amount of time to prepare and adapt the data. Mathematical models for getting a quick solution to these issues have not been sufficiently elaborated. In this work a physical and mathematical model is proposed for building ROIP, oil saturation and water cut maps. The model was used to develop a tool for well stock managing, new wells drilling planning and detection of behind casing fluid flow by comparing the actual water cut of the well with the calculated water cut map.

Development of a Participation-Focused Measure of Interoception

Date Presented 04/9/21 This study focused on item development of an interoceptive measure grounded in Dunn's Sensory Processing Framework and participation. Items were identified that correlated with their intended subscale. The resulting subscales had good internal consistency (α = .63–.88). These initial findings will be valuable for the further development of an interoception scale that OTs can use for intervention planning. Primary Author and Speaker: Catana Brown Contributing Authors: Tsu-Hsin Howe, Janet Njelesani

Intervention Planning in ITIL Context

In incident management and especially in after-sales services, customer interventions must be planned according to a priority order set by service level agreements as well as the availability of both technicians and clients. Despite the availability of incident management software solutions, intervention planning is still performed manually in most solutions because numerous constraints must be considered such as the synchronization of technician skills and customer requests, their availability, and the customer priorities. The intervention planning problem is considered as a difficult combinatorial optimization issue. Various approaches have been proposed in the literature including the transformation of this problem into a vehicle routing problem (VRP) or into a CSP in the context of ITIL framework. Yet, the resolution of this problem with a classical CSP solver is time consuming and must be optimized by proposing filtering rules or specific heuristics. This paper proposes the improved CSP and COP models for intervention planning problem with implementing filtering rules and techniques.

Uptake of planning as a self-regulation strategy

Objectives Planning is an effective self-regulation strategy. However, little is known why some people take up planning and why some do not. Such understanding would help improve interventions to promote planning. We investigated how adolescents explain their (non) use of planning for physical activity after an intervention.Methods Qualitative content analysis was employed to investigate follow-up interviews (n=19) of Let’s Move It trial participants twice post-intervention: 6–8 weeks and 14 months post-baseline. In the intervention, planning was one of the key techniques used to promote PA.Results Out of the seven categories linked to reasons for using or not using planning, most were related to feelings that participant anticipated to result from planning. Action- and identity-related concerns were also raised. The reasons for planning were that the plan (1) helps to clarify what to do and to get things done, (2) strengthens the feeling of autonomy, (3) promotes a sense of progress, ability and control over one’s PA. The reasons for not planning were that (having) a plan may (1) feel forced and like an unpleasant duty, (2) take away life’s spontaneity and freedom, (3) result in anticipated annoyance and bad mood if one fails to enact the plan, or (4) be an effective strategy for others but not for the interviewee.Conclusions Planning may not only link to behavioural control but also the sense of autonomy, and thus subsequent motivation. The findings suggest various strategies to promote planning, including challenging non-planner identity and harnessing social dimension of planning.

Intervention Planning for the Tinnitus E-Programme 2.0, an Internet-Based Cognitive Behavioral Intervention for Tinnitus

Purpose The purpose of this study is to comprehensively describe the intervention planning process for the Tinnitus E-Programme 2.0, an Internet-based cognitive behavioral intervention for tinnitus. Method Theory-, evidence-, and person-based approaches to intervention development were used. In Phase 1, quantitative systematic reviews were used to identify potentially effective intervention techniques and design features. Primary mixed-methods research involving adults with tinnitus explored the acceptability of the first version of the intervention. In Phase 2, person-based guiding principles highlighted key intervention design objectives and features to address needs of the intervention's target group (identified in Phase 1) to maximize its acceptability, feasibility of delivery, and effectiveness. Theory-based “behavioral analysis” and “logic modeling” comprehensively described intervention content and potential mechanisms of action. From this planning work, a prototype intervention was developed. Results The intervention design objectives outlined in the guiding principles were to (a) normalize tinnitus, (b) support users to maintain a regular relaxation practice, (c) minimize the worsening of users' tinnitus sensation, and (d) ensure the intervention is accessible to those with hearing loss. Behavioral analysis and logic modeling identified intervention processes (e.g., illness perceptions, beliefs about consequences, skills, goals) and purported mediators (acceptance of tinnitus, negative thinking, use of the cognitive skills tools for managing negative thoughts, and practicing regular relaxation) hypothesized to facilitate reductions in tinnitus symptom severity. Conclusions The guiding principles highlight key design objectives and features to consider when developing interventions for tinnitus. The logic model offers hypothesized mechanisms of action that can be tested in future process analyses.