An investigation of the role of some person and situation variables in multiple cue probability learning

Making decisions using judgements of multiple non-deterministic indicators is an important task, both in everyday and professional life. Learning of such decision making has often been studied as the mapping of stimuli (cues) to an environmental variable (criterion); however, little attention has been paid to the effects of situation-by-person interactions on this learning. Accordingly, we manipulated cue and feedback presentation mode (graphic or numeric) and task difficulty, and measured individual differences in working memory capacity (WMC). We predicted that graphic presentation, fewer cues, and elevated WMC would facilitate learning, and that person and task characteristics would interact such that presentation mode compatible with the decision maker's cognitive capability (enhanced visual or verbal WMC) would assist learning, particularly for more difficult tasks. We found our predicted main effects, but no significant interactions, except that those with greater WMC benefited to a larger extent with graphic than with numeric presentation, regardless of which type of working memory was enhanced or number of cues. Our findings suggest that the conclusions of past research based predominantly on tasks using numeric presentation need to be reevaluated and cast light on how working memory helps us learn multiple cue–criterion relationships, with implications for dual-process theories of cognition.     

Internet Safety and the Silver Surfer: The Relationship Between Gist Reasoning and Adults' Risky Online Behavior

Currently, fewer older adults are online compared with younger generations. However, with many new initiatives aiming to significantly increase the number of older internet users, they will increasingly be exposed to potential victimisation from internet fraud, a fundamental issue affecting all adult internet users. Despite this, little research has examined online risk‐taking across the adult lifespan or adults' reasoning about risky online behaviors. Using fuzzy trace theory, we investigated adults' online risk‐taking behavior and intentions, and whether these behaviors were related to different ways of reasoning about risk, namely, gist reasoning (using qualitative, intuitive knowledge) and verbatim reasoning (using quantitative, specific knowledge). Participants (326 adults, 18–79 years old, M_age = 49.54 years) reported their past risk‐taking behavior, future online risk intentions, gist and verbatim reasoning about online risk, sensation seeking, and time spent online. Age was negatively correlated with past risk‐taking, time online, future risk intentions, and sensation seeking. However, time spent online was positively related to future risk intentions, suggesting that spending more time using the internet could lead individuals to take more risks. Increased verbatim reasoning predicted increased intentions to take online risks, while gist reasoning predicted reduced intentions to take risks online. Our findings extend online risk research applying fuzzy trace theory to adolescents and young adults and suggest that online safety training incorporating gist‐based reasoning strategies could benefit all adults and, in particular, older generations. Copyright © 2017 John Wiley & Sons, Ltd.     

Motor knowledge is one dimension for concept organization: Further evidence from a Chinese semantic dementia case

Neuropsychological and neuroimaging studies have indicated that motor knowledge is one potential dimension along which concepts are organized. Here we present further direct evidence for the effects of motor knowledge in accounting for categorical patterns across object domains (living vs. nonliving) and grammatical domains (nouns vs. verbs), as well as the integrity of other modality-specific knowledge (e.g., visual). We present a Chinese case, XRK, who suffered from semantic dementia with left temporal lobe atrophy. In naming and comprehension tasks, he performed better at nonliving items than at living items, and better at verbs than at nouns. Critically, multiple regression method revealed that these two categorical effects could be both accounted for by the charade rating, a continuous measurement of the significance of motor knowledge for a concept or a semantic feature. Furthermore, charade rating also predicted his performances on the generation frequency of semantic features of various modalities. These findings consolidate the significance of motor knowledge in conceptual organization and further highlights the interactions between different types of semantic knowledge.     

齐风和韵——谈《韶》乐及齐国宫廷乐舞的音乐特点

《韶》乐来源于帝的《九招》,经过不断的发展,齐《韶》成为春秋时期齐国音乐文化发展水平的杰出代表,孔子的"尽善尽美"更是对齐《韶》的高度赞誉。齐《韶》作为齐国宫廷乐舞的重要组成部分,其场面宏大、优美典雅、刚毅庄重、欢快愉悦、情深意切、感人至深和音乐跌宕起伏,也成为齐国宫廷乐舞的音乐特点。     

试论惠栋《周易述》的治易特色

<周易述>是惠栋一生治<易>的结晶,是乾嘉时代最具代表性的易学著作,其主旨在于发挥汉易传统.作为引导乾嘉易学发展方向的易学著作,其治易特色可归纳为:尊汉法,以象数解<易>;重小学,以文字、音韵、训诂知识解<易>;贯通群书,纳入多学科以解<易>;追求古义,改易经文等几个方面.     

自闭症儿童语言认知发展理论研究综述

目前,关于语言障碍和认知障碍是自闭症的核心症候,这一点在国际上已无异议,但究其发展障碍的本质如何,则各种见解仍处于分歧之中。本文主要是从认知心理学和发展语言心理学的角度,对自闭症儿童的语言认知障碍及其特征进行分析,旨在为中国儿童自闭症的研究和治疗提供一些参考观点。     

儿童自我延迟满足的视觉认知

采用眼动研究方法,以儿童的延迟等待时间及眼动特征为指标,通过两个实验考察儿童在自我延迟满足情境中的注意分配策略及自我延迟满足能力发展的年龄特点。实验结果表明：偏爱策略能促进学前儿童的自我延迟满足;小学1、2年级儿童的自我延迟满足能力显著高于学前儿童;延迟奖励物的彩色照片比黑白照片更有利于儿童的延迟等待;眼动方法是延迟满足研究的有效方法     

Influence of aging pathways on the evolution of heterogeneous solute-rich features in peak-aged Al-Mg-Si-Cu alloy with a high Mg/Si ratio

We report on a study of the influence of aging pathways on the evolution of solute-rich features in peak-aged Al-Mg-Si-Cu alloys. The concentration and partitioning ratios of Mg, Si and Cu and Mg/Si ratios in the heterogeneous solute-rich features all increase with increasing size, with Si exhibiting the highest partitioning ratio, but notably these ratios change dramatically depending on the aging pathway selected. Accordingly, the short-time age hardening response can be enhanced by promoting both homogeneous and heterogeneous precipitate nucleation, while simultaneous improvements in peak-aged strength and elongation can be attained by a vacancy-assisted aging pathway.     

A performance comparison between shallow and deeper neural networks supervised classification of tomosynthesis breast lesions images

Computer Aided Decision (CAD) systems, based on 3D tomosynthesis imaging, could support radiologists in classifying different kinds of breast lesions and then improve the diagnosis of breast cancer (BC) with a lower X-ray dose than in Computer Tomography (CT) systems.In previous work, several Convolutional Neural Network (CNN) architectures were evaluated to discriminate four different classes of lesions considering high-resolution images automatically segmented: (a) irregular opacity lesions, (b) regular opacity lesions, (c) stellar opacity lesions and (d) no-lesions. In this paper, instead, we use the same previously extracted relevant Regions of Interest (ROIs) containing the lesions, but we propose and evaluate two different approaches to better discriminate among the four classes.In this work, we evaluate and compare the performance of two different frameworks both considering supervised classifiers topologies. The first framework is feature-based, and consider morphological and textural hand-crafted features, extracted from each ROI, as input to optimised Artificial Neural Network (ANN) classifiers. The second framework, instead, considers non-neural classifiers based on automatically computed features evaluating the classification performance extracting several sets of features using different Convolutional Neural Network models.Final results show that the second framework, based on features computed automatically by CNN architectures performs better than the first approach, in terms of accuracy, specificity, and sensitivity.     

The use of perceptual features in categorization by orangutans (<Emphasis Type="Italic">Pongo abelli</Emphasis>)

The extent to which categorization of natural classes in animals reflects a generalization based on perceptual similarity versus an abstract conceptual representation remains unclear. Here, two experiments were conducted to identify the perceptual features used by orangutans when categorizing pictures. In Experiment 1, subjects were trained and tested for transfer on a concrete discrimination (gorillas or orangutans vs. other primates). Analysis of performance on both positive and negative exemplars revealed that performance was best on photos with faces, particularly close-ups. Moreover, error trials did not seem to reflect instances of mistaken identity, but rather, exemplars that may have been distracting for other reasons, such as novel coloration or morphology. In Experiment 2, photos were modified to test the effects of various features. Color modifications caused the biggest decrease in performance, and eye modifications also affected performance deleteriously. Therefore, two perceptual features, namely eye regions and color, played a key role in subjects' ability to categorize. However, performance based on an underlying concept cannot be ruled out, because both of these features are highly relevant in terms of defining category membership. Although a subset of features was identified as playing a key role in categorization, these features differed depending on whether feature-use was studied indirectly, as in Experiment 1, or directly, as in Experiment 2.