乳腺癌患者“创伤后成长”的研究进展

近年来,乳腺癌的发病率不断上升,乳腺癌已逐渐成为危害女性健康的首位恶性肿瘤。手术给患者的身心带来很大伤害,但研究者发现,在与乳腺癌这一疾病做斗争的过程中患者会产生一种正向的心理变化,这就是积极心理学领域研究的创伤后成长。本文从创伤后成长内涵、国内外研究现状、测量工具、影响因素、干预方法等几方面对乳腺癌创伤后成长研究现状进行文献综述,为乳腺癌患者心理护理提供依据。     

EGFR突变NSCLC二线TKIs治疗优化选择

恶性肿瘤的治疗已经进入驱动基因指导下的个体治疗时代,肺癌患者应该进行多基因检测,特别是表皮生长因子受体（EGFR）基因突变。EGFR基因突变的非小细胞肺癌（NSCLC）患者,如果一线接受了化疗,二线应该选择表皮生长因子受体一酪氨酸酶抑制剂（EGFR—TKIs）。EGFR基因突变的NSCLC患者一线EGFR—TKIs治疗失败后,二线治疗应该是个体化合理选择,包括局部放疗、化疗和继续EGFR—TKIs。目前一代和二代EGFR—TKIs药物之间未见到显著疗效差别。第三代EGFR—TKIs是目前的EGFR—TKIs耐药后的最有希望的选择,特别是针对T790M突变耐药。     

IGFBP-2及IGFBP-6在结直肠癌中的表达及意义

研究胰岛素样生长因子结合蛋白2（IGFBP-2）及胰岛素样生长因子结合蛋白6（IGFBP-6）在结直肠癌中的表达及临床意义。采用免疫组织化学法及RT-PCR方法检测结直肠癌、结直肠腺瘤及癌旁正常黏膜组织中IGFBP-2及IGFBP-6的蛋白及mRNA的表达情况,结合临床病理资料进行统计学分析。IGFBP-2及IGFBP-6蛋白的阳性表达及mRNA的表达量在三组组织中均存在异常表达情况,且差异有明显的统计学意义（P〈0.05）,在结直肠癌组IGFBP-2、IGFBP-6的阳性表达在肿瘤浸润深度、有无淋巴结转移及Duke＇s分期存在差异,有明显的统计学差异（P〈0.05）。临床可以把二者作为结直肠癌诊断及预后的早期预测指标。     

PTSD,Posttraumatic Growth,and Coping Among Ultra-Orthodox Jewish Battered Women in Israel

This study examined the association between posttraumatic stress (PTS) symptoms, posttraumatic growth (PTG), and coping styles in a very unique and difficult-to-access Jewish ultra-Orthodox population. The study was conducted with 88 women who spent time in the only shelter in Israel for battered women from the ultra-Orthodox Jewish community; data were collected almost 6 years on average after they left the shelter. No association was found between PTS symptoms and PTG. In addition, coping style was not found to have an indirect effect on the relationship between these variables. The theoretical and clinical implications of these findings are discussed.     

A neural cognitive model of argumentation with application to legal inference and decision making

Formal models of argumentation have been investigated in several areas, from multi-agent systems and artificial intelligence (AI) to decision making, philosophy and law. In artificial intelligence, logic-based models have been the standard for the representation of argumentative reasoning. More recently, the standard logic-based models have been shown equivalent to standard connectionist models. This has created a new line of research where (i) neural networks can be used as a parallel computational model for argumentation and (ii) neural networks can be used to combine argumentation, quantitative reasoning and statistical learning. At the same time, non-standard logic models of argumentation started to emerge. In this paper, we propose a connectionist cognitive model of argumentation that accounts for both standard and non-standard forms of argumentation. The model is shown to be an adequate framework for dealing with standard and non-standard argumentation, including joint-attacks, argument support, ordered attacks, disjunctive attacks, meta-level attacks, self-defeating attacks, argument accrual and uncertainty. We show that the neural cognitive approach offers an adequate way of modelling all of these different aspects of argumentation. We have applied the framework to the modelling of a public prosecution charging decision as part of a real legal decision making case study containing many of the above aspects of argumentation. The results show that the model can be a useful tool in the analysis of legal decision making, including the analysis of what-if questions and the analysis of alternative conclusions. The approach opens up two new perspectives in the short-term: the use of neural networks for computing prevailing arguments efficiently through the propagation in parallel of neuronal activations, and the use of the same networks to evolve the structure of the argumentation network through learning (e.g. to learn the strength of arguments from data).     

Failing safely: Increasing theology and religious studies students’ resilience and academic confidence via risk‐taking in formative assessment

Students increasingly appear anxious, risk‐averse, and worried about getting things “wrong.” They may appear to lack intellectual curiosity, and be unwilling to engage in independent study. This essay explores how teaching and assessment in theology and religious studies might help students learn to take intellectual risks, and increase their resilience. One approach is to encourage students to experiment and “fail safely,” to increase their confidence that they understand what is expected of them, and to help them begin to understand learning as more broadly formational, not always directed toward a grade. I suggest three strategies: more formative assessment; a stronger narrative about the purpose of formative assessment; and an appeal to values, virtue, and the cultivation of character. Via these approaches, students might be encouraged to understand assessment in less utilitarian terms and increase their resilience for a world characterized by volatility, uncertainty, complexity, and ambiguity, prepared both critically and dispositionally to thrive and contribute positively to society.     

Emotional intelligence and personal growth initiative effects on subjective happiness among university students

This study examined emotional intelligence and personal growth initiative influences on the level of subjective happiness among university students in Ghana. Two hundred and sixty undergraduate students were participants (female = 69.8%; mean age = 21.72 years, SD = 3.61 years). They responded to measures of emotional intelligence, personal growth initiative, and subjective happiness. After controlling for their demographic characteristics, and following hierarchical regression analysis, results indicate emotional intelligence and intentional behaviour domain of personal growth to predict students’ level of subjective happiness. These findings suggest that students’ ability to manage and utilise their emotions, as well as their personal growth initiative contribute significantly to their level of happiness.     

Cross-Cultural Challenges to the Construct “Posttraumatic Growth”

Responses of individuals to traumatic events are varied. Traumatic events can lead to positive transformations that are known as posttraumatic growth (PTG). Most of the empirical studies of PTG have been addressed from a Western perspective. Theoretically, the concept appears to be cross-culturally valid, but there has been a fundamental deficiency in operationalizing the concept in regard to cultures that are non-Western. Cultural elements play an important role in influencing the behavior of individuals in the aftermath of trauma. Hence, it is important to conceptualize and measure PTG in the framework of the culture to which the individual belongs. The effects of culture come from both the immediate culture (proximal) and the broader (distal) sources that impact the nature of rumination, cognitive strategies, and the process of growth. This paper addresses various cross-cultural challenges to the construct PTG such as emic versus etic perspectives on PTG, proximate and distal influences of culture on PTG, specific cultural influences on rumination, cognitive strategies, and growth, cultural bias inherent in theories of PTG, and measurement issues of PTG across cultures.     

The Influence of Rater Effects in Training Sets on the Psychometric Quality of Automated Scoring for Writing Assessments

Automated essay scoring engines (AESEs) are becoming increasingly popular as an efficient method for performance assessments in writing, including many language assessments that are used worldwide. Before they can be used operationally, AESEs must be “trained” using machine-learning techniques that incorporate human ratings. However, the quality of the human ratings used to train the AESEs is rarely examined. As a result, the impact of various rater effects (e.g., severity and centrality) on the quality of AESE-assigned scores is not known. In this study, we use data from a large-scale rater-mediated writing assessment to examine the impact of rater effects on the quality of AESE-assigned scores. Overall, the results suggest that if rater effects are present in the ratings used to train an AESE, the AESE scores may replicate these effects. Implications are discussed in terms of research and practice related to automated scoring.     

Investigating How Test-Takers Change Their Strategies to Handle Difficulty in Taking a Reading Comprehension Test: Implications for Score Validation

This article investigates how test-takers change their strategies to handle increased test difficulty. An adult sample reported their test-taking strategies immediately after completing the tasks in a reading test. Data were analyzed using structural equation modeling specifying a measurement-invariant, ability-moderated, latent transition analysis in Mplus (Muthén & Asparouhov, 2011). It was found that almost half of the test-takers (47%) changed their strategies when encountering increased task-difficulty. The changes were characterized by augmenting comprehending-meaning strategies with score-maximizing and test-wiseness strategies. Moreover, test-takers' ability was the driving influence that facilitated and/or buffered the changes. The test outcomes, when reviewed in light of adjusted test-taking strategies, demonstrated a form of process-based validity evidence.