Affect and strategy use in independent language learning

Affect is about emotions and feelings, moods and attitudes, anxiety, tolerance of ambiguity and motivation. For some it is also connected with dispositions and preferences (Oatley & Jenkins, 1996). It is generally accepted that the affective domain encompasses a wide range of elements which reflect the human side of being, and play a part in conditioning behaviour and influencing learning. We are becoming more knowledgeable about the importance of attention to affective factors, but there is still a huge gap in terms of our knowledge of the affective strategies that students use or could use to promote more effective language learning. Moreover, the research that has been carried out into affect over several years has largely concentrated on language learning in the classroom (Arnold, 1999; Ehrman, 1996; MacIntyre, 1999; Young, 1999) with very few studies devoted to independent learning settings. Independent language learners, whether learning through self-access, distance or other modes, are a fast-growing group, and we need to know more about them, in particular the ways in which their affective needs differ from those of classroom learners (Harris, 2003; Hurd, 2002; White, 2003). This chapter investigates affect and strategy use in independent settings. It looks first at the concept of affect and its interrelationships with other domains, continues with an exploration of strategy definitions and classification schemes in relation to affect, and concludes with a study carried out with a small group of distance language learners using think-aloud verbal protocols

DNA methylation profiling to assess pathogenicity of BRCA1 unclassified variants in breast cancer

Germline pathogenic mutations in BRCA1 increase risk of developing breast cancer. Screening for mutations in BRCA1 frequently identifies sequence variants of unknown pathogenicity and recent work has aimed to develop methods for determining pathogenicity. We previously observed that tumor DNA methylation can differentiate BRCA1-mutated from BRCA1-wild type tumors. We hypothesized that we could predict pathogenicity of variants based on DNA methylation profiles of tumors that had arisen in carriers of unclassified variants. We selected 150 FFPE breast tumor DNA samples [47 BRCA1 pathogenic mutation carriers, 65 BRCAx (BRCA1-wild type), 38 BRCA1 test variants] and analyzed a subset (n=54) using the Illumina 450K methylation platform, using the remaining samples for bisulphite pyrosequencing validation. Three validated markers (BACH2, C8orf31, and LOC654342) were combined with sequence bioinformatics in a model to predict pathogenicity of 27 variants (independent test set). Predictions were compared with standard multifactorial likelihood analysis. Prediction was consistent for c.5194-12G>A (IVS 19-12 G>A) (P>0.99); 13 variants were considered not pathogenic or likely not pathogenic using both approaches. We conclude that tumor DNA methylation data alone has potential to be used in prediction of BRCA1 variant pathogenicity but is not independent of estrogen receptor status and grade, which are used in current multifactorial models to predict pathogenicity

Does employment affect productivity?

We investigate the trade-off between employment and labour productivity in a panel of OECD countries in 1970-2003. The endogeneity of employment is shown to matter crucially for assessing its effect on productivity. Estimating a structural model with 3SLS, where employment depends on demographic variables and labour market institutions, we find that employment tends to boost productivity. Literature ignoring the endogeneity of employment, including our own OLS results, incorrectly finds a negative or insignificant effect from employment on productivity. The productivity gain is, however, not a guaranteed by-product of additional employment, as regressions with rolling windows reveal.

Word Affect Intensities

Words often convey affect -- emotions, feelings, and attitudes. Lexicons of word-affect association have applications in automatic emotion analysis and natural language generation. However, existing lexicons indicate only coarse categories of affect association. Here, for the first time, we create an affect intensity lexicon with real-valued scores of association. We use a technique called best-worst scaling that improves annotation consistency and obtains reliable fine-grained scores. The lexicon includes terms common from both general English and terms specific to social media communications. It has close to 6,000 entries for four basic emotions. We will be adding entries for other affect dimensions shortly

Do Social Security Statements Affect Knowledge and Behavior?

Deciding when to retire and claim Social Security benefits is one of the most important financial decisions that workers face. Therefore, ensuring that they have easy access to clear and timely information about their benefit options is a key goal for policymakers. In 1995, the Social Security Administration introduced the “Statement,” a record of past earnings and a summary of estimated benefits at selected claiming ages that is designed to help workers plan for retirement. The Statement is now mailed annually to all workers age 25 and over. While the Statement has the potential to be a very valuable tool, little research has been done on its impact. A Gallup survey revealed that individuals who had received a Statement had a significant increase in their understanding of basic Social Security features. The most recent U.S. Government Accountability Office report on the Statement found that 66 percent of workers remember receiving a Statement and 90 percent of these workers say that they remember the amount of estimated Social Security benefits. These findings suggest that the Statement might improve knowledge, but provide no information about whether it changes behavior. Both topics are the subject of this brief. This brief is organized as follows. The first section explains the data and methodology used in the analysis. The second and third sections present the findings on how the Statement impacts knowledge and behavior, respectively. The final section concludes that the Statement does increase knowledge for individuals who were not inclined to seek the information on their own, but the Statement does not appear to change behavior.

Does the Oil Revenues Affect the Macro Economic Variables\u27 Performance in Africa? a Panel Data Analysis

Oil revenues play a vital and central role in the economies of developing countries and African countries are among the countries whose macroeconomic variables are affected by oil revenues. The objective of this study is to analyze and investigate the role of oil revenues on the macroeconomic variables in most of the oil-producing African countries. The Econometric method Pooled Ols model was employed in the study and the fixed and random technique data used was time sires cross panel data in the period (2000-2018). Based on the literature review, the selected  sample study was on countries such as (Nigeria, Algeria, Angola, Gabon, Egypt, Congo, Egypt, Congo, Sudan, Chad, Ghana) and we employed the Gross Domestic Product as the target variable and Oil Revenues (Oiler), inflation (CPI), Exchange rate (Ex), export (Exp), Foreign Direct Invest (FDI), money supply (M2), as independent variables. The study result and analysis of the data indicated that oil revenue has an impact on most the macroeconomic variables in the study except CPI and money supply. The study also indicated a strong positive correlation between oil revenue and GDP growth rate on the countries samples study. The study concluded that one of the most important macroeconomic variables is oil revenues. It also recommended that African countries need support and need to put more effort in building strong economies that are not dependent on oil revenues; to work on diversifying the revenues of the states and work to preserve the right of the next generation to exploit natural and oil resources

The Affect Misattribution Procedure.

The Affect Misattribution Procedure (AMP) has been forwarded as one of the most promising alternatives to the Implicit Association Test and the evaluative-priming task for measuring attitudes such as prejudice indirectly. We investigated whether the AMP is indeed able to detect an evaluative out-group bias. In contrast to recent conclusions about the robustness of AMP effects, six out of seven pilot studies indicated that participants did not show any prejudice effects in the AMP. Yet, these pilot studies were not fully conclusive with regard to our research question because they investigated different domains of prejudice, used small sample sizes, and employed a modified AMP version. In a preregistered, high-powered AMP study, we therefore examined whether the standard AMP does reveal prejudice against Turks, the biggest minority in Germany, and found a significant, albeit very small prejudice effect. We discuss possible reasons for the AMP's weak sensitivity to evaluations in socially sensitive domains

Affect, Organizational Justice and Innovative Performance

Innovation has received great attention from organizations nowadays. A growing body of research has been carried out to study the antecedents leading to increased innovative performance. This study is intended to contribute to the pool of literature (Malaysian and Western) pertaining to this subject