scholarly journals A new role for narrative in variationist sociolinguistics

2006 ◽  
Vol 16 (1) ◽  
pp. 46-55 ◽  
Author(s):  
Barbara Johnstone

Labov and Waletzky’s (1997[1967]) path-breaking description of “narrative syntax” arose in the context of variationist sociolinguistic research, and narrative continues to be an important source of data for variationist’ work. In most of this work, however, narrative is not the object of study. Variationist sociolinguists are interested in the structure and function of sounds, words, and phrases found in narrative data, but they have not typically asked how the structure and function of narrative itself might bear on the questions about linguistic variation and language change that define their field. Here I suggest that close attention to the structure and function of narrative can, in fact, shed light on a topic of central interest to variationists, namely vernacular norm-formation. I argue that narratives about encounters with linguistic difference help create shared orientations to particular sets of nonstandard linguistic features and link them with region, class, and other sources of identity. I further suggest that narrative functions particularly well as a vehicle for language-ideological differentiation (Gal & Irvine, 1995) of this sort.

2020 ◽  
Author(s):  
Damianos P. Melidis ◽  
Brandon Malone ◽  
Wolfgang Nejdl

Abstract Background: Word embedding approaches have revolutionized natural language processing (NLP) research. These approaches aim to map words to a low-dimensional vector space, in which words with similar linguistic features cluster together. Embedding-based methods have also been developed for proteins, where words are amino acids and sentences are proteins. The learned embeddings have been evaluated qualitatively, via visual inspection of the embedding space and extrinsically, via performance comparison on downstream protein prediction tasks. However, these sequence embeddings have the caveat that biological metadata do not exist for each amino acid, in order to measure the quality of each unique learned embedding vector. Results: Here, we present dom2vec, an approach for learning protein domain embeddings using word2vec on InterPro annotations. In contrast to sequence embeddings, biological metadata do exist for protein domains, related to each domain separately. Therefore, we present four intrinsic evaluation strategies to quantitatively assess the quality of the learned embedding space. To perform a reliable evaluation in terms of biology knowledge, we selected the metadata related to the most distinctive biological characteristics of domains. These are the structure, enzymatic and molecular function of a given domain. Notably, dom2vec obtains adequate level of performance in the intrinsic assessment, therefore we can draw an analogy between the local linguistic features in natural languages and the domain structure and function information in domain architectures. Moreover, we demonstrate the dom2vec applicability on protein prediction tasks, by comparing it with state-of-the-art sequence embeddings in three downstream tasks. We show that dom2vec outperform sequence embeddings for toxin and enzymatic function prediction and is comparable with sequence embeddings in cellular location prediction. Conclusions: We report that the application of word2vec on InterPro annotations produces domain embeddings with two significant advantages over sequence embeddings. First, each unique dom2vec vector can be quantitatively evaluated towards its available structure and function metadata. Second, the produced embeddings can outperform the sequence embeddings for a subset of downstream tasks. Overall, dom2vec embeddings are able to capture the most important biological properties of domains and surpass sequence embeddings for a subset of prediction tasks.


2021 ◽  
Vol 6 (3(16)) ◽  
pp. 207-228
Author(s):  
Jelena Ilić Plauc ◽  
Ivona Šetka Čilić

The Covid-19 pandemic has affected every single aspect of life including conversational practices both online and offline. New lexical and sociolinguistic changes have become part of our lives, which is especially vivid in the emergence of Covid-19 trending neologisms. The present study utilizes the descriptive-qualitative design in the analysis of morphological structures of neologisms in Bosnian/Croatian/Serbian languages. Specifically, the paper is based on the analysis of morphological structures of the neologisms that use the discourse of the Covid pandemic as a base/modifier, i.e., that contain either corona- / korona-, coronavirus- / koronavirus-, Covid-19- / Kovid-19-, and Covid- / Kovid- as a base of the neologism. The dataset consists of over 10,000 headlines related to Covid-19 information, found and collected in online newspaper sections Koronavirus – Dnevni Avaz (Bosnia and Herzegovina) between March 2020 and March 2021. The results show that there is an intensive usage of the Covid-19 neologisms, which manifests the dynamics of language as new words are used, added, and integrated into conversational practices daily. Moreover, the majority of these neologisms use the discourse of the Covid pandemic as a base/modifier. This paper aims to shed light not only on the meanings of the new words and their structure and function, but it can also serve as a foundation for creating a special Covid-19 glossary on the territory of Bosnia and Herzegovina.


Botany ◽  
2020 ◽  
Vol 98 (8) ◽  
pp. 425-437
Author(s):  
Stefany Cristina de Melo Silva ◽  
Silvia Rodrigues Machado ◽  
Massimo Nepi ◽  
Tatiane Maria Rodrigues

Cactaceae exhibit highly modified spines that are considered to be extrafloral nectaries (EFNs). Despite their ecological and taxonomical relevance in this family, little is known on their structure and function. We have described the anatomy, ontogenesis, and ultrastructure of the secretory glochids in two Opuntioideae species. Young cladodes of Brasiliopuntia brasiliensis (Willd.) A. Berger and Nopalea cochenillifera (L.) Salm-Dyck were processed for light and electron microscopy studies. The composition of the secretions was analyzed by high performance liquid chromatography. The secretory glochids were soft, massive, and barbed, as well as translucent. Hyaline droplets on the secretory glochid apex were collected by aggressive ants. The secretory glochids originated from the areolar meristem, beginning as small protuberances formed by protoderm and ground meristem. Mature secretory glochids consisted of a central multiseriate axis of ground cells covered by uniseriate epidermis with a continuous cuticle, and exhibited three regions: (i) dilated vascularized base with parenchyma cells exhibiting features associated to nectar secretion; (ii) elongated median region with juxtaposed fusiform non-lignified parenchyma cells; and (iii) tapered apical portion with immature fibers loosely arranged cells. The exudate was sucrose-dominant with a similar amino acid profile in both species. Our results shed light on the secretory activity of glochids in Cactaceae and their role in cactus–ant interactions.


2020 ◽  
Author(s):  
Damianos P. Melidis ◽  
Brandon Malone ◽  
Wolfgang Nejdl

AbstractMotivationWord embedding approaches have revolutionized Natural Language Processing NLP research. These approaches aim to map words to a low-dimensional vector space in which words with similar linguistic features are close in the vector space. These NLP approaches also preserve local linguistic features, such as analogy. Embedding-based approaches have also been developed for proteins. To date, such approaches treat amino acids as words, and proteins are treated as sentences of amino acids. These approaches have been evaluated either qualitatively, via visual inspection of the embedding space, or extrinsically, via performance on a downstream task. However, it is difficult to directly assess the intrinsic quality of the learned embeddings.ResultsIn this paper, we introduce dom2vec, an approach for learning protein domain embeddings. We also present four intrinsic evaluation strategies which directly assess the quality of protein domain embeddings. We leverage the hierarchy relationship of InterPro domains, known secondary structure classes, Enzyme Commission class information, and Gene Ontology annotations in these assessments. These evaluations allow us to assess the quality of learned embeddings independently of a particular downstream task. Importantly, allow us to draw an analog between the local linguistic features in nature languages and the domain structure and function information in domain architectures, thus providing data-driven insights into the context found in the language of domain architectures. We also show that dom2vec embeddings outperform, or are comparable with, state-of-the-art approaches on downstream tasks.AvailabilityThe protein domain embeddings vectors and the entire code to reproduce the results are available at https://github.com/damianosmel/[email protected]


Author(s):  
Jay K. Wood ◽  
Leandre R. Fabrigar

The attitude construct is one of the oldest and most-studied constructs in social psychology, and as such, it has had a tremendous impact on the social sciences over the past century. This long history notwithstanding, a historical review of the attitudes literature reveals a construct whose popularity has waxed and waned over the decades and that has generated a number of passionate debates. One area of contention over the years is probably the most fundamental: what exactly are attitudes? Although the definition of the term attitude has gone through many incarnations since its early definition as a “mental and neural state of readiness” (Allport 1935, cited under General Overviews, p. 810; see also the special issue of the journal Social Cognition 25.5 for a variety of perspectives on the definition of attitudes), most current researchers use the term to refer to a valenced evaluation of something, be it a person, object, concept, event, action, etc. (i.e., the attitude object). Most theorists consider attitudes to be relatively enduring (i.e., they are typically not transitory like phenomena such as mood states); however, the extent to which they are stable and enduring would be expected to fall on a continuum, and is determined by factors such as variations in cognitive structure. Furthermore, many contemporary researchers suggest that a distinction can be made between attitudes that are deliberative and within an individual’s control, and those that are nondeliberative and automatic (i.e., explicit versus implicit attitudes). Much of the research on attitudes has focused on issues such as the structure and function of attitudes, how they influence behavior and judgment, how they can be changed, and even whether we need them and if they exist at all. The citations that were chosen for inclusion in this article were selected for a number of reasons: Some are particularly comprehensive or well-written overviews of a topic, others are seminal works or significantly advance our understanding of the construct, and still others shed light on a particular point of contention in the literature. The article begins with General Overviews, Textbooks, and selective Journals that publish high-quality attitudes research and review articles. Next, attention is turned to measurement issues in attitudes research. The largest section of the article is devoted to Attitude Formation and Change (i.e., persuasion), as this is the subtopic that has historically received the most attention from attitudes researchers, as is indicated by the corresponding volume of literature. The article then looks at attitude structure and function before concluding with coverage of the potential impact of attitudes on behavior.


Author(s):  
F. S. Sjöstrand

The electron microscope as a tool for recording structural data at the molecular or supramolecular level will be discussed, particularly in connection with the important demonstration by means of electron microscopy of membranes as the most common type of supramolecular structure in cells. Structural analysis as a technique aiming at collecting information that can shed light on the function of living systems has gained tremendously by extending the range of study to molecular and intramolecular dimensions. Correlation of structure and function will be emphasized.Electron microscopy as applied to the analysis of the circuitry of nervous centers will be discussed.The basic problems involved in the application of electron microscopy to biochemical problems where the biochemical technique is used to analyze problems in cell physiology will be illustrated by proper examples.Some important prospects for future application of electron microscopy in Biology will be mentioned.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Bryan D. Ryder ◽  
Irina Matlahov ◽  
Sofia Bali ◽  
Jaime Vaquer-Alicea ◽  
Patrick C. A. van der Wel ◽  
...  

AbstractThe Hsp40/Hsp70 chaperone families combine versatile folding capacity with high substrate specificity, which is mainly facilitated by Hsp40s. The structure and function of many Hsp40s remain poorly understood, particularly oligomeric Hsp40s that suppress protein aggregation. Here, we used a combination of biochemical and structural approaches to shed light on the domain interactions of the Hsp40 DnaJB8, and how they may influence recruitment of partner Hsp70s. We identify an interaction between the J-Domain (JD) and C-terminal domain (CTD) of DnaJB8 that sequesters the JD surface, preventing Hsp70 interaction. We propose a model for DnaJB8-Hsp70 recruitment, whereby the JD-CTD interaction of DnaJB8 acts as a reversible switch that can control the binding of Hsp70. These findings suggest that the evolutionarily conserved CTD of DnaJB8 is a regulatory element of chaperone activity in the proteostasis network.


Author(s):  
Peter Sterling

The synaptic connections in cat retina that link photoreceptors to ganglion cells have been analyzed quantitatively. Our approach has been to prepare serial, ultrathin sections and photograph en montage at low magnification (˜2000X) in the electron microscope. Six series, 100-300 sections long, have been prepared over the last decade. They derive from different cats but always from the same region of retina, about one degree from the center of the visual axis. The material has been analyzed by reconstructing adjacent neurons in each array and then identifying systematically the synaptic connections between arrays. Most reconstructions were done manually by tracing the outlines of processes in successive sections onto acetate sheets aligned on a cartoonist's jig. The tracings were then digitized, stacked by computer, and printed with the hidden lines removed. The results have provided rather than the usual one-dimensional account of pathways, a three-dimensional account of circuits. From this has emerged insight into the functional architecture.


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