Supporting practitioners in school-based evaluations of autism spectrum disorders

Students with autism spectrum disorder (ASD) have vastly different educational needs. Although some students with ASD may perform well across subjects within the general education classroom, other students with ASD may need more individualized support outside of the classroom. Historically, ASD assessments in schools have primarily focused on the measurement of cornerstone behaviors of ASD such as deficits in social communication and restricted or repetitive behaviors while underestimating the focus of academic skills even though both factors are required in the evaluation process and for an eligibility classification. The purpose of this article is to provide an overview of academic assessment practices in the schools by highlighting best practices in ASD evaluation, outlining ASD academic profiles and how to identify academic skill deficits, and reviewing the available literature that comes from different formal- and function-based assessment practices that are commonly used in schools today. The authors also discuss how formal- and function-based assessments both serve a purpose and are recommended to be used in conjunction with one another to best demonstrate a student's academic profile. Practitioners are ultimately encouraged to use a multi-informant, multi-modal approach when it comes to psychoeducational evaluations for individuals with ASD as it is evident that an individualized approach is essential due to the discrepancy of academic profiles related to this disability category as well as understanding that no measure is a perfect representation of any one skill.     

发育协调障碍儿童运动干预研究进展

发育协调障碍(DCD)是一种常见的神经发育问题,常见于儿童。DCD儿童具有显著的认知缺陷和不及同龄儿童的身体机能水平。当前对于DCD儿童的运动干预并没有明确的方案。通过介绍DCD研究的发展过程,分析DCD儿童的认知特征和身体机能水平,展示当前常见的运动干预手段,并为运动干预研究提供建议,有助于今后相关研究的开展。     

Dynamic commonsense knowledge fused method for Chinese implicit sentiment analysis

Compared with explicit sentiment analysis that attracts considerable attention, implicit sentiment analysis is a more difficult task due to the lack of sentimental words. The abundant information in an external sentimental knowledge base can play a significant complementary and expansion role. In this paper, a sentimental commonsense knowledge graph embedded multi-polarity orthogonal attention model is proposed to learn the implication of the implicit sentiment. We analyzed the effectiveness of different knowledge relations in the ConceptNet knowledge base in detail, and proposed a matching and filtering method to distill useful knowledge tuples for implicit sentiment analysis automatically. By introducing the sentimental information in the knowledge base, the proposed model can extend the semantic of a sentence with an implicit sentiment. Then, a bi-directional long–short term memory model with multi-polarity orthogonal attention is adopted to fuse the distilled sentimental knowledge with the semantic embedding, effectively enriching the representation of sentences. Experiments on the SMP2019-ECISA implicit sentiment dataset show that our model fully utilizes the information of the knowledge base and improves the performance of Chinese implicit sentiment analysis.     

Multi-heterogeneous neighborhood-aware for Knowledge Graphs alignment

Entity alignment is an important task for the Knowledge Graph (KG) completion, which aims to identify the same entities in different KGs. Most of previous works only utilize the relation structures of KGs, but ignore the heterogeneity of relations and attributes of KGs. However, these information can provide more feature information and improve the accuracy of entity alignment. In this paper, we propose a novel Multi-Heterogeneous Neighborhood-Aware model (MHNA) for KGs alignment. MHNA aggregates multi-heterogeneous information of aligned entities, including the entity name, relations, attributes and attribute values. An important contribution is to design a variant attention mechanism, which adds the feature information of relations and attributes to the calculation of attention coefficients. Extensive experiments on three well-known benchmark datasets show that MHNA significantly outperforms 12 state-of-the-art approaches, demonstrating that our approach has good scalability and superiority in both cross-language and monolingual KGs. An ablation study further supports the effectiveness of our variant attention mechanism.     

体育学科硕士研究生创新能力缺失分析与对策

从学生、导师、培养单位和教师教学四个层面,基于江苏省在制定《学校体育十二五发展规划》所做的现状调研数据,应用文献资料法和理论分析方法就当前体育学科研究生创新能力缺失的因素进行讨论,结合自身工作实践提出相应的对策,以期为提高我国体育学科研究生的培养质量提供参考。     

射击运动员的注意力要求及其培养

本文针对体育运动中注意力要求较高的射击运动员进行了剖析,分析射击项目中注意的要求,并对运动员的注意力培养和训练进行了一定的探讨,期待为今后的训练和比赛提供有益的经验和参考。     

泰山赤灵芝对提高运动员大强度训练中的免疫机能预防运动性疾病的实验研究

通过对CUBA赛事间歇中运动员大强度训练期间服用泰山赤灵芝口服液的实验研究,表明泰山赤灵芝不仅能提高运动员机体的细胞免疫,增强体液免疫,而且能有效的防止运动员在高强度训练期间由机体免疫机能的下降而增加受感染疾病的风险、降低运动损伤;在提高训练效率的同时,可以通过运动员体液中免疫球蛋白中的各类Ig的检测指标的变化有效地监控训练。     

“瓦格纳法则”实现方式的国际比较与启示

"瓦格纳法则"的实现是各国政府实现其职能目标的表现。为最大限度实现政府职能目标,各国政府采取财政支出增长在前、财政收入增长在后的非平衡预算实现方式,在政府支出持续增长的同时,宏观税负呈现出不断反复但总体上升的趋势。从发达国家和发展中国家"瓦格纳法则"实现方式和过程看,公共支出不断增长是一个逐步的过程,与一国的经济发展和国民收入是正相关关系。因此,我国政府在实施财政政策时要注意避免过度负债或税负过重对经济发展造成的不利影响。     

运动水平和特质焦虑水平对 负性词注意偏向的影响

运用文献资料法、实验法和数理统计法,探讨运动水平、特质焦虑水平对个体负性词注意偏向的影响。依据特质焦虑和运动水平,将受试者分为4组,每组10人,运用2（运动水平）× 2（特质焦虑水平）的多因素组间实验设计方法开展研究。研究结果表明：①高特质焦虑个体存在对负性词的注意偏向,且低运动水平的个体表现更明显;②高特质焦虑个体对负性词存在注意定向偏向和注意固着。以为运动员赛前注意训练提供理论依据。     

运动技能的内隐学习与分心练习——对应激的抵御

为抵御应激对运动技能水平发挥的影响 ,研究以轨迹追踪任务为实验范式 ,将 32名被试分 4组在不同条件下进行为期 12 d的练习 ,并比较了各组在两种应激条件下的测试结果。结果显示 :对于复杂的操作任务 ,内隐学习比外显学习更有效。分心练习所获得运动技能较少受高应激的影响