Linguistic and Activity Relativity in Cognition

Abstract

This work compares the features of cognitive processes uncovered in experimental studies undertaken to test the Sapir-Whorf hypothesis with cultural features of thinking that are shaped by activity-related factors rather than by language that have been identified by cross-cultural research into thinking. It is concluded that this latter area of research has uncovered more essential differences in cognitive processes. There is discussion of the linguistic aspect of activity-related differences in thinking, in particular the possibility of using Hymes’ idea of functional linguistic relativity in cross-cultural research. The article concludes with a discussion of possible social-psychological reasons why the linguistic-relativity phenomenon is more popular than activity-related relativity.     

Flying Insect Detection and Classification with Inexpensive Sensors

An inexpensive, noninvasive system that could accurately classify flying insects would have important implications for entomological research, and allow for the development of many useful applications in vector and pest control for both medical and agricultural entomology. Given this, the last sixty years have seen many research efforts devoted to this task. To date, however, none of this research has had a lasting impact. In this work, we show that pseudo-acoustic optical sensors can produce superior data; that additional features, both intrinsic and extrinsic to the insect’s flight behavior, can be exploited to improve insect classification; that a Bayesian classification approach allows to efficiently learn classification models that are very robust to over-fitting, and a general classification framework allows to easily incorporate arbitrary number of features. We demonstrate the findings with large-scale experiments that dwarf all previous works combined, as measured by the number of insects and the number of species considered.     

反刍动物的食物选择及其影响因素

反食物选择是反刍动物营养生态学的重要研究内容之一。本文阐述了食物选择概念及几种计算方法, 概述性介绍了食物选择的主要影响因素。动物形态学特征、植物营养质量、植物物理和化学因素、动物自身生理特征、行为学特征是影响反刍动物食物选择的主要因素。这些因素间的相互关系及作用机理构成这一领域基本研究内容。     

Odonata (dragonflies and damselflies) as a bridge between ecology and evolutionary genomics

Odonata (dragonflies and damselflies) present an unparalleled insect model to integrate evolutionary genomics with ecology for the study of insect evolution. Key features of Odonata include their ancient phylogenetic position, extensive phenotypic and ecological diversity, several unique evolutionary innovations, ease of study in the wild and usefulness as bioindicators for freshwater ecosystems worldwide. In this review, we synthesize studies on the evolution, ecology and physiology of odonates, highlighting those areas where the integration of ecology with genomics would yield significant insights into the evolutionary processes that would not be gained easily by working on other animal groups. We argue that the unique features of this group combined with their complex life cycle, flight behaviour, diversity in ecological niches and their sensitivity to anthropogenic change make odonates a promising and fruitful taxon for genomics focused research. Future areas of research that deserve increased attention are also briefly outlined.     

The evolutionary and molecular features of the broad-host-range plant pathogen Sclerotinia sclerotiorum

Sclerotinia sclerotiorum is a pathogenic fungus that infects hundreds of plant species, including many of the world's most important crops. Key features of S. sclerotiorum include its extraordinary host range, preference for dicotyledonous plants, relatively slow evolution, and production of protein effectors that are active in multiple host species. Plant resistance to this pathogen is highly complex, typically involving numerous polymorphisms with infinitesimally small effects, which makes resistance breeding a major challenge. Due to its economic significance, S. sclerotiorum has been subjected to a large amount of molecular and evolutionary research. In this updated pathogen profile, we review the evolutionary and molecular features of S. sclerotiorum and discuss avenues for future research into this important species.     

Cell classification by moments and continuous wavelet transform methods

Image processing techniques are bringing new insights to biomedical research. The automatic recognition and classification of biomedical objects can enhance work efficiency while identifying new inter-relationships among biological features. In this work, a simple rule-based decision tree classifier is developed to classify typical features of mixed cell types investigated by atomic force microscopy (AFM). A combination of continuous wavelet transform (CWT) and moment-based features are extracted from the AFM data to represent that shape information of different cellular objects at multiple resolution levels. The features are shown to be invariant under operations of translation, rotation, and scaling. The features are then used in a simple rule-based classifier to discriminate between anucleate versus nucleate cell types or to distinguish cells from a fibrous environment such as a tissue scaffold or stint. Since each feature has clear physical meaning, the decision rule of this tree classifier is simple, which makes it very suitable for online processing. Experimental results on AFM data confirm that the performance of this classifier is robust and reliable.     

Identification of Possible Lipid Binding Regions in Food Proteins and Peptides and Additional <Emphasis Type="Italic">In Silico</Emphasis> Analysis

The results of the search for potential helical lipid binding regions in a number of well-known food proteins is described. All selected food proteins have either well-described or strong indications of protein-lipid interaction features. The results are obtained with the aid of a number of selected bioinformatics tools. The identified potential lipid binding regions either correspond nicely with regions demonstrated experimentally or can be identified as novel lipid binding regions. The results are discussed in relation to earlier found experimental results and if relevant are discussed in mechanistic terms as well. A possible general use of the approach as used in this study is discussed as well. The in this study described approach can be used as a tool to come to a more focused approach for further research of yet unknown proteins. It is also possible to use this approach for more directed research when it comes to for example rational functional design of proteins for particular desired features like the emulsifying or foaming ability of the protein of interest.     

GIS和遥感技术在生态安全评价与生物多样性保护中的应用

综合近年来国内外生态安全评价和生物多样性保护领域的研究成果:简要总结了地理信息系统(GIS)和遥感(RS)技术在生态学热点领域的应用研究现状和特点;归纳论述了GIS和RS在生态安全评价和生物多样性保护研究中存在的不足;在此基础上,尝试性地提出了可扩展的集成研究框架——"生产线"框架;最后探讨了GIS和RS技术与生态学集成研究的未来发展趋势。     

福建土地退化的景观敏感性综合评估与分区特征

在GIS支持下,研究了福建土地退化的景观区域分异特征,综合预测了土地退化的景观变化趋势,利用地理分区图的表示方法和一定的数学模型理论,对福建省土地退化的区域景观活跃性程度和区域景观危险性程度进行定必瑟半定量相结合的综合评估与预测分区,目的主要是为土地退化的区域预报提供基本资料信息和减灾防灾决策提供服务。     

Particle Swarm Optimization Based Feature Enhancement and Feature Selection for Improved Emotion Recognition in Speech and Glottal Signals

In the recent years, many research works have been published using speech related features for speech emotion recognition, however, recent studies show that there is a strong correlation between emotional states and glottal features. In this work, Mel-frequency cepstralcoefficients (MFCCs), linear predictive cepstral coefficients (LPCCs), perceptual linear predictive (PLP) features, gammatone filter outputs, timbral texture features, stationary wavelet transform based timbral texture features and relative wavelet packet energy and entropy features were extracted from the emotional speech (ES) signals and its glottal waveforms(GW). Particle swarm optimization based clustering (PSOC) and wrapper based particle swarm optimization (WPSO) were proposed to enhance the discerning ability of the features and to select the discriminating features respectively. Three different emotional speech databases were utilized to gauge the proposed method. Extreme learning machine (ELM) was employed to classify the different types of emotions. Different experiments were conducted and the results show that the proposed method significantly improves the speech emotion recognition performance compared to previous works published in the literature.     

动物毒素及相关药物研究进展

动物毒素是指有毒动物毒器分泌的毒液中,结构和功能丰富多样的蛋白质和多肽,其具有高活力、高结构多样性、高专一性等特点, 是药物开发的重要资源。综述了动物毒素药物的特点以及进入临床药物和候选药物分子的研究进展,同时分析了我国动物毒素类药物研发 中需要重视的问题。     

宠物与肝包虫病

棘球绦虫寄生于犬科动物的小肠内,其幼虫棘球蚴寄生在动物和人的肝脏,该病严重危害人类和动物健康,对公共卫生造成了严重威胁。本文对包虫病的类型、危害、流行情况以及防治进行综述,希望有助于社会对该病正确的认识、深入的研究和对疾病的防治工作。     

Segregated early weaning and welfare of piglets

Segregated early weaning (SEW), introduced with the objectives of eradicating or controlling diseases and improving performance, is becoming increasingly popular among producers. The main features of SEW are weaning piglets early and moving the newly weaned piglets to a site isolated from the sows and other animals. In this article, we describe the key features of SEW and factors leading to its development. We review some of the main welfare issues involved with raising pigs in this way. We describe experiments that were crucial in the development of SEW and that showed positive effects on the health status and weight gain of piglets. We also review experiments that indicated welfare problems associated with this system. Specifically, we look at the effects of early weaning on the behavior and well-being of piglets. In addition, we look at other features of SEW, such as repeated cross-fostering and transport of young piglets. We provide directions for future research and offer recommendations for producers.     

Reviewing Literature in Bioethics Research: Increasing Rigour in Non‐Systematic Reviews

The recent interest in systematic review methods in bioethics has highlighted the need for greater transparency in all literature review processes undertaken in bioethics projects. In this article, I articulate features of a good bioethics literature review that does not aim to be systematic, but rather to capture and analyse the key ideas relevant to a research question. I call this a critical interpretive literature review. I begin by sketching and comparing three different types of literature review conducted in bioethics scholarship. Then, drawing on Dixon‐Wood's concept of critical interpretive synthesis, I put forward six features of a good critical interpretive literature review in bioethics: answering a research question, capturing the key ideas relevant to the research question, analysing the literature as a whole, generating theory, not excluding papers based on rigid quality assessment criteria, and reporting the search strategy.     

Integration of tools and resources for display and analysis of genomic data for protozoan parasites

Centralisation of tools for analysis of genomic data is paramount in ensuring that research is always carried out on the latest currently available data. As such, World Wide Web sites providing a range of online analyses and displays of data can play a crucial role in guaranteeing consistency of in silico work. In this respect, the protozoan parasite research community is served by several resources, either focussing on data and tools for one species or taking a broader view and providing tools for analysis of data from many species, thereby facilitating comparative studies. In this paper, we give a broad overview of the online resources available. We then focus on the GeneDB project, detailing the features and tools currently available through it. Finally, we discuss data curation and its importance in keeping genomic data 'relevant' to the research community.     

基因打靶与RNA干扰技术在丝状真菌基因功能组学研究中的应用

随着丝状真茵模式生物基因组测序工作的进行,其提供的大量未知功能的基因序列,为研究丝状真菌的基因功能开辟了新的方向,并已成为生命科学领域研究的热点.对基因功能研究中最新的两种方法--基因打靶和RNAi技术的原理、技术路线和特点以及应用情况进行综述.     

The extraction and use of facial features in low bit-rate visual communication.

A review is given of experimental investigations by the author and his collaborators into methods of extracting binary features from images of the face and hands. The aim of the research has been to enable deaf people to communicate by sign language over the telephone network. Other applications include model-based image coding and facial-recognition systems. The paper deals with the theoretical postulates underlying the successful experimental extraction of facial features. The basic philosophy has been to treat the face as an illuminated three-dimensional object and to identify features from characteristics of their Gaussian maps. It can be shown that in general a composite image operator linked to a directional-illumination estimator is required to accomplish this, although the latter can often be omitted in practice.     

Growing weed, producing knowledge: an epistemic history of Arabidopsis thaliana

Arabidopsis is currently the most popular and well-researched model organism in plant biology. This paper documents this plant's rise to scientific fame by focusing on two interrelated aspects of Arabidopsis research. One is the extent to which the material features of the plant have constrained research directions and enabled scientific achievements. The other is the crucial role played by the international community of Arabidopsis researchers in making it possible to grow, distribute and use plant specimen that embody these material features. I argue that at least part of the explosive development of this research community is due to its successful standardisation and to the subsequent use of Arabidopsis specimen as material models of plants. I conclude that model organisms have a double identity as both samples of nature and artifacts representing nature. It is the resulting ambivalence in their representational value that makes them attractive research tools for biologists.     

Advances and prospects on biosynthesis, structures and functions of venom proteins from parasitic wasps

Molecular and biochemical properties of parasitoid Hymenoptera's venom proteins are currently receiving an increasing interest. In this review, we will highlight the progress that has been made over the past 10 years in fundamental research on this field. Main knowledge acquired on the structural features of parasitoid venom peptides, proteins and enzymes will be summarized and discussed and several examples showing the diversity of their biological functions will be given with respect to future prospects and applications.     

Plant growth and architectural modelling and its applications. Preface

Over the last decade, a growing number of scientists around the world have invested in research on plant growth and architectural modelling and applications (often abbreviated to plant modelling and applications, PMA). By combining physical and biological processes, spatially explicit models have shown their ability to help in understanding plant–environment interactions. This Special Issue on plant growth modelling presents new information within this topic, which are summarized in this preface. Research results for a variety of plant species growing in the field, in greenhouses and in natural environments are presented. Various models and simulation platforms are developed in this field of research, opening new features to a wider community of researchers and end users. New modelling technologies relating to the structure and function of plant shoots and root systems are explored from the cellular to the whole-plant and plant-community levels.