The Role of Gender Dynamics in the Relationship between Parental Maltreatment and Juvenile Theft in South Korea

Juvenile theft is the leading crime among adolescents in Korea and is a serious social concern. The present study is an examination of youth theft in the framework of general strain theory, which asserts that criminal behavior occurs as a response to various strains, such as parental abuse and neglect. To test the role of parent-youth gender dynamics in the relationship between parental strain and youth theft, the current study analyzed a community-based sample of youth offenders and non-offenders in Korea (N = 374) using multivariate logistic regression models with interaction terms. Paternal physical abuse and maternal neglect predicted greater youth involvement in theft behavior. Regarding parent-youth gender dynamics, there was no difference in the role of maternal or paternal maltreatment in predicting theft behavior in sons or daughters. The exception was fathers' neglect, in which daughters showed higher odds of theft engagement than did sons who experienced even greater paternal neglect. The findings underscored the distinct and detrimental role of parental maltreatment in adolescent theft. The results supported the need to reach out to parents in consideration of the youth's gender and provided important implications for guiding current social services in preventing juvenile theft in Korea

A node-based approach to charm-FFT

Parallel 3D Fast Fourier Transform is a communication intensive algorithm that suffers from the unignorable communication overhead. Because the interconnect communication bandwidth is a static component, adjustments to reduce or hide the necessary communication overheads are performed to obtain the optimal performance with a FFT grid in a given environment. In this thesis, an alternative method to an existing Parallel 3D FFT library was explored. The FFT library, Charm-FFT empowered by Charm++, was redesigned to utilize larger number of nodes while aiming to reduce the number of necessary communications between its components during its computations. Instead of decomposing the input FFT grid into the fine-grained objects that are distributed to the available PEs, coarser-grained decomposition method that only distributes to the available nodes was applied. As there are less number of receivers that each decomposed object communicates during the state transposition, the overall number of communication is reduced at the cost of parallelism from using the finer decomposition method. This loss of parallelism is attempted to be mitigated by applying within-node parallelism using multi-threading or accelerators. Lastly, to maintain the usability of the modified library when multiple FFT grid computations are needed with given resource, each FFT grid is assigned to a subset of the resource to compute and communicate only within its subset rather than to use all resource for each grid's computation

Validation of the South Korean Version of the Beliefs about Emotions Scale

Background Beliefs about the unacceptability of experiencing or expressing negative emotions can contribute to diverse psychological symptoms and associated with poor treatment outcomes and low treatment attempts. The Beliefs about Emotions Scale (BES) was developed to assess such beliefs based on the cognitive-behavioral models; however, no study has reported on the psychometric properties of the BES in Korea. The present study aimed to cross-culturally adapt and validate the BES for the Korean population (BES-K). Methods The BES-K was administered to 592 Korean adults (323 men and 269 women) aged 20–59 years. Exploratory and confirmatory factor analysis were used to assess the factor model of the scale. Pearson correlation coefficients were used to evaluate the relationships between the BES-K and other psychological measures. Results The result showed a two-factor model of the BES-K, with Factor 1 relating to Interpersonal and Factor 2 representing Intrapersonal aspects. The scale had significant yet moderately low correlations with measures of depression, anxiety, and difficulties in emotion regulation. Conclusion The BES-K is a useful instrument in evaluating the beliefs about emotions in the Korean population

Aerobic Copper-Promoted Oxidative Dehydrosulfurative Carbon-Oxygen Cross-Coupling of 3,4-Dihydropyrimidine-1: H -2-Thiones With Alcohols

An aerobic Cu-promoted oxidative dehydrosulfurative carbon-oxygen cross-coupling of 3,4-dihydropyrimidin-1H-2-thiones (DHPMs) with both aliphatic and aromatic alcohols is described. Together with the ready availability of DHPMs and both alcohols, the method furnishes facile access to biologically valuable 2-alkoxypyrimidines with rapid diversification

Significance of EpCAM and TROP2 expression in non-small cell lung cancer

<p>Abstract</p> <p>Background</p> <p>The tumor-associated calcium signal transducer (<it>TACSTD</it>) genes, originally designated epithelial cell adhesion molecule (EpCAM) and TROP2, represent true oncogenes. Little is known about EpCAM and TROP2 gene expression in non-small cell lung carcinoma (NSCLC). This study evaluated EpCAM and TROP2 protein expression and clinicopathologic significance in cases of NSCLC.</p> <p>Methods</p> <p>Tissue microarray blocks acquired from 164 cases of NSCLC, including 100 cases of adenocarcinoma (AdC) and 64 of squamous cell carcinoma (SCC), were examined by immunohistochemical staining for EpCAM, and TROP2. The results were correlated with clinicopathologic data.</p> <p>Results</p> <p>EpCAM and TROP2 were significantly overexpressed in SCC than in AdC (<it>P </it>< 0.01). In AdC, EpCAM overexpression was closely related to sex, histologic grade, pathologic T stage, pathologic N stage, and TNM stage, and TROP2 overexpression was only related to histologic grade (<it>P </it>< 0.05, respectively). In SCC, correlations were evident between EpCAM overexpression and TNM stage (<it>P </it>= 0.01), and between TROP2 overexpression and pathologic T stage (<it>P </it>= 0.02). EpCAM overexpression showed no significance with overall survival in AdC and SCC patients. However, TROP2 overexpression in AdC had a positive influence on overall survival (<it>P </it>= 0.02) and disease-free survival (<it>P </it>= 0.03). In particular, AdC patients with stage II or III showed better overall survival (<it>P </it>= 0.05) and disease-free survival (<it>P </it>= 0.04).</p> <p>Conclusions</p> <p>While EpCAM and TROP2 show weak and non-complete membranous staining in normal bronchial epithelium and pneumocyte, their complete membranous expression in carcinoma suggests their role in carcinogenesis. EpCAM and TROP2 were more frequently overexpressed in SCC. EpCAM overexpression had no prognostic value in this study, but TROP2 overexpression showed better survival in AdC patients and might be a better prognostic marker in advanced stage AdC.</p

Do Response Selection Models Really Know What's Next? Utterance Manipulation Strategies for Multi-turn Response Selection

In this paper, we study the task of selecting the optimal response given a user and system utterance history in retrieval-based multi-turn dialog systems. Recently, pre-trained language models (e.g., BERT, RoBERTa, and ELECTRA) showed significant improvements in various natural language processing tasks. This and similar response selection tasks can also be solved using such language models by formulating the tasks as dialog--response binary classification tasks. Although existing works using this approach successfully obtained state-of-the-art results, we observe that language models trained in this manner tend to make predictions based on the relatedness of history and candidates, ignoring the sequential nature of multi-turn dialog systems. This suggests that the response selection task alone is insufficient for learning temporal dependencies between utterances. To this end, we propose utterance manipulation strategies (UMS) to address this problem. Specifically, UMS consist of several strategies (i.e., insertion, deletion, and search), which aid the response selection model towards maintaining dialog coherence. Further, UMS are self-supervised methods that do not require additional annotation and thus can be easily incorporated into existing approaches. Extensive evaluation across multiple languages and models shows that UMS are highly effective in teaching dialog consistency, which leads to models pushing the state-of-the-art with significant margins on multiple public benchmark datasets.Comment: Accepted to AAAI 202