The optimal allocation combination for the two-sided sequential screening procedure based on the individual misclassification error

In this paper, the expected total costs (ETCs) of three kinds of quality cost functions for the two-sided sequential screening procedure (SQSP) based on the individual misclassification error are obtained, where the ETC is the sum of the expected cost of inspection, the expected cost of rejection and the expected cost of quality. The general formulas for all the desired probabilities and three ETCs when k screening variables are allocated into r-stages are derived. The optimal allocation combination for each ETC is determined based on the criterion of minimum ETC. Finally, we give two examples to illustrate the selection of the optimal allocation combination for the SQSP.     

The social work services in screening process of compulsory treatment interventions in addicts in Iran: A content analysis study

Compulsory treatment has had a detrimental impact on drug abuse treatment policies and programs in Iran. Physicians are currently required to conduct initial treatment screening. Social workers are a part of the treatment team but have no authority to initiate a compulsory drug treatment plan. For this reason, the present article investigates social work service participation in the process of compulsory drug treatment. The study methodology is content analysis. Nine social workers participated in seven focus group discussions. Overall, 110 codes were extracted from the sessions and were categorized into five main themes: interview and initial assessment; referral; investigation of ineligibility criteria; report to judicial authority; and follow‐up and advocacy. The results of this research suggest amending executive bylaws based on a social work approach to the screening process for compulsory drug treatment.     

Screening Adolescents for Health Risks Using Interactive Voice Response Technology

ABSTRACT

This report presents an evaluation of an interactive voice response telecommunications system developed for adolescent health risk screening. The technology provides a means to screen adolescents for general health risks and to score self-reported risk immediately. Adolescents listen to a series of prerecorded risk questions on standard touch-tone telephones and respond by pressing the appropriate keys on the keyboard. Health care workers are provided immediate feedback in the form of a summary fax report. The fax report indicates the adolescent's risk level and suggested interventions. This paper reports on an evaluation of this technology to collect self-reported risk data for 116 adolescents seen in an urban family practice center in Cleveland, Ohio. Clinical impressions of the new technology are reported for a pilot cohort of 22 physicians. The authors examine the process of using this technology to implement screening guidelines in various settings.     

临清拗陷东部CO2成因、成藏条件及潜力

临清拗陷东部CO₂资源丰富，在古生界和新近系均发现了CO₂气藏。根据最新勘探和研究成果，并结合济阳拗陷与东濮凹陷的勘探实践，分析认为临清拗陷东部CO₂气藏气主要为幔源岩浆成因，浅层气藏中可能有煤成气过程中的伴生CO₂混入。通过对典型气藏的解剖，指出断裂活动和岩浆活动对临清拗陷东部CO₂的成藏有重要的控制作用。结合地质条件，指出了有利的勘探区带。     

On the performance of three-stage group screening experiments

This paper examines the performance of three-stage group screening in terms of the mean number of tests needed; and the proportion of active factors correctly detected by the screening plan, A linear cost function is also proposed, To evaluate performance, random grouping and a constant signa1-to -noise ratio for all active factors, are assumed.     

Using information on realized effects to determine prospective causal effects

The potential outcomes approach to causal inference postulates that each individual has a number of possibly latent outcomes, each of which would be observed under a different treatment. For any individual, some of these outcomes will be unobservable or counterfactual. Information about post-treatment characteristics sometimes allows statements about what would have happened if an individual or group with these characteristics had received a different treatment. These are statements about the realized effects of the treatment. Determining the likely effect of an intervention before making a decision involves inference about effects in populations defined only by characteristics observed before decisions about treatment are made. Information on realized effects can tighten bounds on these prospectively defined measures of the intervention effect. We derive formulae for the bounds and their sampling variances and illustrate these points with data from a hypothetical study of the efficacy of screening mammography.     

强电环境下电子设备的抗干扰问题

通过强电环境下干扰类型与干扰源的分析，指出相应的抗干扰措施及抗干扰的发展方向。     

The Social Context of Depression Symptomology in Sexual Minority Male Youth: Determinants of Depression in a Sample of Grindr Users

ABSTRACT

The purpose of this study was to understand which social context factors most influence depression symptomology among sexual minority male youth (SMMY). In 2011, 195 SMMY who use Grindr were recruited to complete an online survey in Los Angeles, California. Items focused on social context variables and depression symptomology. Hierarchical multiple regressions were conducted using an ecological framework. The best fitting model accounted for 29.5% of the variance in depression. Experiences of homophobia, gay community connection, presence of an objecting network member, and emotional support were found to be significant predictors. Past experiences of homophobia continuing to affect youth indicates the need for intervention to reduction of homophobia in youths’ social contexts. Interventions that teach youth skills to manage objecting viewpoints or help youth to reorganize their social networks may help to reduce the impact of an objecting network alter.     

Sampling methods and sensitivity analysis for large parameter sets

Models with large parameter (i.e., hundreds or thousands of parameters) often behave as if they depend upon only a few parameters, with the rest having comparatively little influence. One challenge of sensitivity analysis with such models is screening parameters to identify the influential ones, and then characterizing their influences.

Large models often require significant computing resources to evaluate their output, and so a good screening mechanism should be efficient: it should minimize the number of times a model must be exercised. This paper describes an efficient procedure to perform sensitivity analysis on deterministic models with specified ranges or probability distributions for each parameter.

It is based on repeated exercising of the model, which can be treated as a black box. Statistical checks can ensure that the screening identified parameters that account for the bulk of the model variation. Subsequent sensitivity analysis can use the screening information to reduce the investment required to characterize the influence of influential and other parameters.

The procedure exploits simplifications in the dependence of a model output on model inputs. It works best where a small number of parameters are much more influential than all the rest. The method is much more sensitive to the number of influential parameters than to the total number of parameters. It is most effective when linear or quadratic effects dominate higher order effects and complex interactions.

The paper presents a set of M athematica functions that can be used to create a variety of types of experimental designs useful for sensitivity analysis, including simple random, latin hypercube and fractional factorial sampling. Each sampling method can use discretization, folding, grouping and replication to create composite designs. These techniques have beencombined in a composite approach called Iterated Fractional Factorial Design (IFFD).

The procedure is applied to model of nuclear fuel waste disposal, and to simplified example models to demonstrate the concepts involved.