Depressed skull fractures: a pattern of abusive head injury in three older children

OBJECTIVE: To describe a pattern of abusive head injury in a series of children older than 4 years of age. METHODS: A hospital chart review of abused children with skull fractures from 1999 to 2001 was carried out. The clinical features, social background, and subsequent outcome and management are described. RESULTS: An 11-year-old girl and a pair of brothers of ages 7 and 9 were identified. The girl was attacked with a hammer during sleep by her stepmother, who committed suicide shortly afterwards. After craniotomy and intensive care, the child survived her multiple depressed fractures, intracranial bleeding, and brain contusion. Two brothers from a second family were attacked from behind with a hammer by their biological father, who was subsequently found to have undiagnosed schizophrenia. A depressed occipital fracture, without intracranial injury, was found in each child. The elder brother also had metacarpal fractures. Both children recovered without surgical intervention. CONCLUSION: A pattern of abusive head injury was described in older children with depressed skull fractures from blunt injury. The abusing parents were seriously mentally disturbed, and the abusive acts closely resembled child homicide.     

Intellectual Disability and Developmental Risk: Promoting Intervention to Improve Child and Family Well‐Being

Initial intervention processes for children with intellectual disabilities (IDs) largely focused on direct efforts to impact core cognitive and academic deficits associated with the diagnosis. Recent research on risk processes in families of children with ID, however, has influenced new developmental system approaches to early intervention. Recent risk and resilience processes are reviewed that connect stress, family process, and the high rates of behavioral problems in children with ID that have substantial influence on child and family outcomes. These models are linked to emerging evidence‐based intervention processes that focus on strategic parent skill training and mindfulness interventions that reduce parental stress and create indirect benefits for children's behavioral competencies. A family‐focused developmental systems approach (M. J. Guralnick, 2011) is emphasized.     

On the geometry of the smallest circle enclosing a finite set of points

A number of numerical codes have been written for the problem of finding the circle of smallest radius in the Euclidean plane that encloses a finite set P of points, but these do not give much insight into the geometry of this circle. We investigate geometric properties of the minimal circle that may be useful in the theoretical analysis of applications. We show that a circle C enclosing P is minimal if and only if it is rigid in the sense that it cannot be translated while still enclosing P. We show that the center of the minimal circle is in the convex hull of P. We use this rigidity result and an analysis of the case of three points to find sharp estimates on the diameter of the minimal circle in terms of the diameter of P.     

国产十种乌头的染色体研究

本文描述了我国产毛茛科乌头属的10个种的染色体数目和形态。  根据该属染色体基 数为8(x＝8)，可将这些种归为二倍体、四倍体、六倍体和八倍体种。  10种乌头的染色体在数目、大小、结构上表现出相关性。其中具根状茎而多年生的种多为二倍体，染色体形态较大，第3-7号多为近端着丝点(st)染色体, 具块茎而二年生的种多为多倍体，染色体形态较小，第3-7号多为近中着丝点(sm)染色体。染色体演化方向可能是二倍体→多倍体、大→ 小、st→sm。这进一步证明根状茎种较块茎种原始。根据染色体数目和形态，又可将这些种的染色体分为两类。这进一步支持了目前分类学上的牛扁亚属和乌头亚属的划分。本文还讨论了这些种的有关分类问题。     

高职高专商务翻译课程浅析

如何在高职高专院校开设好商务翻译课已经成为众多教育工作者特别在高职高专院校从事外语教学工作者研究的课题。该论文从高职高专翻译教学实际出发,提出了教学中应遵循的原则并具体讨论了高职高专商务翻译课程训练的方法、教材选择等问题。     

Unsupervised word sense disambiguation for Korean through the acyclic weighted digraph using corpus and dictionary

Word sense disambiguation (WSD) is meant to assign the most appropriate sense to a polysemous word according to its context. We present a method for automatic WSD using only two resources: a raw text corpus and a machine-readable dictionary (MRD). The system learns the similarity matrix between word pairs from the unlabeled corpus, and it uses the vector representations of sense definitions from MRD, which are derived based on the similarity matrix. In order to disambiguate all occurrences of polysemous words in a sentence, the system separately constructs the acyclic weighted digraph (AWD) for every occurrence of polysemous words in a sentence. The AWD is structured based on consideration of the senses of context words which occur with a target word in a sentence. After building the AWD per each polysemous word, we can search the optimal path of the AWD using the Viterbi algorithm. We assign the most appropriate sense to the target word in sentences with the sense on the optimal path in the AWD. By experiments, our system shows 76.4% accuracy for the semantically ambiguous Korean words.     

Optimization of some factors affecting the performance of query expansion

This paper examines the factors affecting the performance of global query expansion based on term co-occurrence data and suggests a way to maximize the retrieval effectiveness. Major parameters to be optimized through experiments are term similarity measure and the weighting scheme of additional terms. The evaluation of four similarity measures tested in query expansion reveal that mutual information and Yule's Y, which emphasize low frequency terms, achieve better performance than cosine and Jaccard coefficients that have the reverse tendency. In the evaluation of three weighting schemes, similarity weight performs well only with short queries, whereas fixed weights of approximately 0.5 and similarity rank weights were effective with queries of any length. Furthermore, the optimal similarity rank weight achieving the best overall performance seems to be the least affected by test collections and the number of additional terms. For the efficiency of retrieval, the number of additional terms needs not exceed 70 in our test collections, but the optimal number may vary according to the characteristics of the similarity measure employed.     

Parsimonious translation models for information retrieval

In the KL divergence framework, the extended language modeling approach has a critical problem of estimating a query model, which is the probabilistic model that encodes the user’s information need. For query expansion in initial retrieval, the translation model had been proposed to involve term co-occurrence statistics. However, the translation model was difficult to apply, because the term co-occurrence statistics must be constructed in the offline time. Especially in a large collection, constructing such a large matrix of term co-occurrences statistics prohibitively increases time and space complexity. In addition, reliable retrieval performance cannot be guaranteed because the translation model may comprise noisy non-topical terms in documents. To resolve these problems, this paper investigates an effective method to construct co-occurrence statistics and eliminate noisy terms by employing a parsimonious translation model. The parsimonious translation model is a compact version of a translation model that can reduce the number of terms containing non-zero probabilities by eliminating non-topical terms in documents. Through experimentation on seven different test collections, we show that the query model estimated from the parsimonious translation model significantly outperforms not only the baseline language modeling, but also the non-parsimonious models.     

An empirical study of query expansion and cluster-based retrieval in language modeling approach

The term mismatch problem in information retrieval is a critical problem, and several techniques have been developed, such as query expansion, cluster-based retrieval and dimensionality reduction to resolve this issue. Of these techniques, this paper performs an empirical study on query expansion and cluster-based retrieval. We examine the effect of using parsimony in query expansion and the effect of clustering algorithms in cluster-based retrieval. In addition, query expansion and cluster-based retrieval are compared, and their combinations are evaluated in terms of retrieval performance by performing experimentations on seven test collections of NTCIR and TREC.     

我国战略生物资源大数据及应用

生物资源是国家重要的战略性资源。组学时代的到来催生数据量级的增长将推动生命科学研究向"数据密集型科学"的新范式转变。因此,生物资源的大数据与生物资源本身一样,也已成为国家战略资源,成为国际科技与产业竞争热点和战略制高点。目前,我国亟待加快建设国家级战略生物资源大数据共享平台,建立全面支撑生物资源保存、利用、开发、挖掘和可持续利用的技术体系,形成包括数据质控流程、数据存储中心、数据共享中心和数据转化中心的可对海量数据进行有效管理、高效分析和可用、易用的综合数据系统,支撑我国生物资源前沿领域科学发现和产业创新发展。中国科学院战略生物资源信息平台配合中国科学院战略生物资源服务网络的建设,形成了包括数据管理规范、数据汇集平台、数据门户和数据可视化系统在内的一套完整的数据生态,从而有效地促进了中国科学院战略生物资源数据的集成、共享、挖掘和利用。目前,该平台已经覆盖中国科学院植物园、标本馆、生物遗传资源、实验动物、生物多样性监测网络5类资源的42家单位,集成6 981 465条数据,且全部数据资源都可以通过数据门户进行共享。