Decision-making bioinspired model for target definition and “satisfactor” selection for physiological needs

Every person, from an early age, has to make decisions to resolve situations that arise in life. In general, different people make different decisions in the same situation, since decision-making takes into account different factors such as age, emotional state, experience, among others. We can make decisions about situations that we classify as: more important than others, routine, unexpected, or trivial. However, making the correct decision(s) in a timely manner for these situations is one of the most complex and delicate challenges that human beings face. This is due to the arduous mental process required to be carried out. Providing such behavior to a virtual entity is possible through the use of Cognitive Architectures (CAs). CAs are an approach for modeling human intelligence and behavior. This paper presents an functional bioinspired computational decision-making model to satisfy the physiological needs of hunger and thirst. Our proposal considers as black boxes other cognitive functions that are part of a general CA (named Cuäyöllötl or brain in Nahuatl). In the proposed case study, it is proved that the decision-making process plays an essential role in determining the objective and selecting the object that satisfies the established need.     

How Much Distress Is Too Much on Deployed Operations? Validation of the Kessler Psychological Distress Scale (K10) for Application in Military Operational Settings

The aim of this study was threefold: (a) to assess the factor structure of the Kessler Psychological Distress Scale (K10) to determine whether interpreting the scale as a single dimensional measure of psychological distress is justified in military operational setting; (b) to validate the K10 for mental health surveillance in operational settings against self-reported occupational impairment; (c) to evaluate whether the K10 has better discriminatory power than de facto standards for mental health surveillance on deployment, namely the Patient Health Questionnaire and the Posttraumatic Stress Disorder Checklist, Civilian version. A convenience sample of Canadian Armed Forces personnel serving in Afghanistan (N = 1,264) completed self-report measures of psychological distress and occupational impairment. On examination of 6 competing models, the authors determined that interpreting the K10 as a measure of unspecified psychological distress is justified. Using receiver operating characteristic (ROC) curve analysis, they identified new cutoff values for dichotomous and polychotomous scoring methods. After comparing the area beneath the ROC curves for each of the 3 mental health surveillance questionnaires, the authors determined that all measures perform well as predictors of self-rated occupational impairment, with values ranging from .86 to .90. These results highlight the importance of cross-setting validation and demonstrate that validating psychological screening questionnaires against self-report measures of occupational impairment can be a useful strategy for understanding the manifestation of psychological distress on deployed military operations.     

误诊误治病例所致医疗纠纷分析——附3例报告

当前医疗科技发展的相对性、疾病规律本身的复杂多变性、医生医疗知识的局限性等,导致了临床误诊误治的不可避免性,而医院发生的医疗纠纷事件中,大多是由于误诊误治所致。通过对3例误诊病例及所致医疗纠纷的分析,指出临床误诊误治的客观性、主观性及不可避免性。同时提示临床医师在疾病诊治过程中,随时更新医疗知识,注意疾病的鉴别诊断,及时完善相关的辅助检查,积极治疗,减少对疾病的延误诊治,减轻病人痛苦,改善医患关系,从而减少医疗纠纷。