Language Paradigm Research Articles

The impact of brain-derived neurotrophic factor Val66Met polymorphism on cognition and functional brain networks in patients with intractable partial epilepsy.

Medial temporal lobe epilepsy (mTLE) is the most common refractory focal epilepsy in adults. Around 30%-40% of patients have prominent memory impairment and experience significant postoperative memory and language decline after surgical treatment. BDNF Val66Met polymorphism has also been associated with cognition and variability in structural and functional hippocampal indices in healthy controls and some patient groups. We examined whether BDNF Val66Met variation was associated with cognitive impairment in mTLE. In this study, we investigated the association of Val66Met polymorphism with cognitive performance (n=276), postoperative cognitive change (n=126) and fMRI activation patterns during memory encoding and language paradigms in 2 groups of patients with mTLE (n=37 and 34). mTLE patients carrying the Met allele performed more poorly on memory tasks and showed reduced medial temporal lobe activation and reduced task-related deactivations within the default mode networks in both the fMRI memory and language tasks than Val/Val patients. Although cognitive impairment in epilepsy is the result of a complex interaction of factors, our results suggest a role of genetic factors on cognitive impairment in mTLE.

When two are better than one: Bilateral mesial temporal lobe contributions associated with better vocabulary skills in children and adolescents

This study considered the involvement of the mesial temporal lobe (MTL) in language and verbal memory functions in healthy children and adolescents. We investigated 30 healthy, right-handed children and adolescents, aged 7–16, with a fMRI language paradigm and a comprehensive cognitive test battery. We found significant MTL activations during language fMRI in all participants; 63% of them had left lateralized MTL activations, 20% exhibited right MTL lateralization, and 17% showed bilateral MTL involvement during the fMRI language paradigm. Group analyses demonstrated a strong negative correlation between the lateralization of MTL activations and language functions. Specifically, children with less lateralized MTL activation showed significantly better vocabulary skills. These findings suggest that the mesial temporal lobes of both hemispheres play an important role in language functioning, even in right-handers. Our results furthermore show that bilateral mesial temporal lobe involvement is advantageous for vocabulary skills in healthy, right-handed children and adolescents.

Mapping the Accounting as an Academic Discipline: Paradigmatic Limits and Research Programs

Purpose: This paper aims to provide new insight into the understanding of what academic accounting is. It presents an interpretation of the subject field of an academic discipline as an aggregate of structure and content within the given (accounting) research scope. The research questions are: What are the paradigmatic dimensions of academic accounting? What views to the nature of accounting can be counted as ontological paradigms? How the accounting paradigms construe research programs? Design/methodology/approach: Discursive reasoning and content analysis of research papers are the most appropriate given the research questions. The boundary-work theory contextual framework is applied to outline accounting as an academic discipline. The taxonomic approach to research paradigms of accounting as an academic discipline is used. Findings: A two-leveled representation of the accounting subject field is developed. At the first level, the accounting subject field structure is performed by the basic paradigmatic taxonomies with epistemological, methodological, ontological dimensions. Financial, organizational, social, institutional, language and power paradigms are distinguished as ontological paradigms of accounting. Within the second level, the concept of the research program is developed as an aggregate of research units (paper, report, research project, etc.) combined by paradigms taken from different bases. It permits us to triangulate any research unit within the disciplinary matrix. Originality/value: This paper presents the model of the subject field of accounting and structures it by the paradigmatic dimensions and research programs. The results highlight the “mainstream” and the “second mainstream” for accounting research programs.

Shifting Language Paradigm: An Integration of Five Dimensions of Culture in Teaching English as a Foreign Language in Pakistan

This study explores the inseparable entities of language and culture. Mastering the cultural element is crucial in the EFL/ESL language learning process. Furthermore, the study investigates the role of culture in the EFL/ESL curriculum since the 1980s. The paper examines the integration of culture into the ESL/ EFL classrooms in Pakistan. Most Pakistani EFL classrooms continue to simply focus on the grammar-translation approach, where students have to memorize significant and non-significant grammar points and then do dozens of exercises drilling the newly learned grammatical form(s). The foundation for teaching culture language learning include the 5 Cs, the Five Dimensions of Culture, language learning authentic materials, and the Cultural Experiential Learning Cycle. Through experiencing role-playing situations and distinguishing similarities and differences between cultures, students are culturally prepared with appropriate behaviors and responses when they encounter a similar situation in the target culture. The recommendations provided should enable Pakistani educators and administrators to effectively integrate culture into EFL curricula. This Paper explores the incorporation of culture in the context of Pakistani language learning environments. It also investigates strategies and techniques that make the language learning process productive, so that Pakistani educators can incorporate them within their classrooms.

T132. Connectivity analysis of glioma patients with language disturbances

Language production involves a complex brain network that should be taken into account in pre-surgical planning of patients with brain tumors. Connectivity analysis (functional and structural) of magnetic resonance imaging data (cMRI) enables the study of the functional interaction and structural relationship between brain regions. Our goal was to correlate cMRI data with clinical manifestations of language disturbances We recruited sixteen patients (mean age of 47 years old; 8 female) diagnosed with low and high grade brain gliomas (47%) located in frontal (57%), temporal (17%), parietal (13%) lobes and in the insular region (13%). They performed pre-operative clinical language tests, structural (diffusion tensor imaging – DTI), and functional MRI (fMRI) using a battery of language paradigms. We extracted connectivity metrics (i.e. node degree, betweeness centrality, partition coefficient, and clustering coefficient) from thirteen brain regions and normalized the data (i.e. using mean and standard deviation) within each region and across patients. For a set of brain regions involved in language processing (i.e. opercular, supramarginal and superior temporal gyrus), we evaluated the correlation between local connectivity metrics and brain tumor location, language clinical tests and the outcome of cortical stimulation during awake craniotomy (i.e. whether it produced language disturbances). We analyzed seventeen MRI datasets (i.e. one patient received treatment twice and three others had previously performed craniotomies) including DTI data in only twelve patients. Clinically, three presented conduction aphasia (two with temporal and one with a frontal lobe tumor), four had anomic aphasia (two with frontal, one with insular and another with temporal lobe tumor) and two with expressive aphasia with frontal lobe tumors. The extracted metrics failed to correlate with tumor location. Language tests correlated with higher partition (r = 0.75) coefficient of opercular or supramarginal gyrus. Cortical stimulation at opercular or supramarginal gyrus correlated either with a higher clustering (r = 0.68) or lower partition (r = −0.64) coefficient in supramarginal or opercular gyri, respectively. cMRI from DTI and task-based language paradigms correlates with clinical evaluation language tests as expected. Also, connectivity measures suggest a homo-lateral compensation in the language network when opercular or supramarginal gyri are affected besides contralateral as reported in literature.

Language-integrated provenance in Haskell

Scientific progress increasingly depends on data management, particularly to clean and curate data so that it can be systematically analyzed and reused. A wealth of techniques for managing and curating data (and its provenance) have been proposed, largely in the database community. In particular, a number of influential papers have proposed collecting provenance information explaining where a piece of data was copied from, or what other records were used to derive it. Most of these techniques, however, exist only as research prototypes and are not available in mainstream database systems. This means scientists must either implement such techniques themselves or (all too often) go without. This is essentially a code reuse problem: provenance techniques currently cannot be implemented reusably, only as ad hoc, usually unmaintained extensions to standard databases. An alternative, relatively unexplored approach is to support such techniques at a higher abstraction level, using metaprogramming or reflection techniques. Can advanced programming techniques make it easier to transfer provenance research results into practice? We build on a recent approach called language-integrated provenance, which extends language-integrated query techniques with source-to-source query translations that record provenance. In previous work, a proof of concept was developed in a research programming language called Links, which supports sophisticated Web and database programming. In this paper, we show how to adapt this approach to work in Haskell building on top of the Database-Supported Haskell (DSH) library. Even though it seemed clear in principle that Haskell's rich programming features ought to be sufficient, implementing language-integrated provenance in Haskell required overcoming a number of technical challenges due to interactions between these capabilities. Our implementation serves as a proof of concept showing how this combination of metaprogramming features can, for the first time, make data provenance facilities available to programmers as a library in a widely-used, general-purpose language. In our work we were successful in implementing forms of provenance known as where-provenance and lineage. We have tested our implementation using a simple database and query set and established that the resulting queries are executed correctly on the database. Our implementation is publicly available on GitHub. Our work makes provenance tracking available to users of DSH at little cost. Although Haskell is not widely used for scientific database development, our work suggests which languages features are necessary to support provenance as library. We also highlight how combining Haskell's advanced type programming features can lead to unexpected complications, which may motivate further research into type system expressiveness.

Ціннісно-філософська парадигма поетичної мови Віктора Бойка (на матеріалі збірки «Зазимки»)

Ціннісно-філософська парадигма поетичної мови Віктора Бойка (на матеріалі збірки «Зазимки»)

Modern Interfaces for Knowledge Representation and Processing Systems Based on Markup Technologies

The usage of markup technologies to specify knowledge to be processed according to a specific field of application is a common technique. Representation techniques based on markup language paradigm to describe various types of knowledge including graph based models is considered and details on using Knowledge Representation and Processing (KRP) Systems in education are presented. XML, and VoiceXML were selected to implement smart interface for KRP systems.

A Sibling-Mediated Intervention for Children with Autism Spectrum Disorder: Using the Natural Language Paradigm (NLP).

We taught three typically developing siblings to occasion speech by implementing the Natural Language Paradigm (NLP) with their brothers with autism spectrum disorder (ASD). A non-concurrent multiple baseline design across children with ASD and sibling dyads was used. Ancillary behaviors of happiness, play, and joint attention for the children with ASD were recorded. Generalization of speech for the children with ASD across setting and peers was also measured. During baseline, the children with ASD displayed few target speech behaviors and the siblings inconsistently occasioned speech from their brothers. After sibling training, however, they successfully delivered NLP, and in turn, for two of the brothers with ASD, speech reached criterion. Implications of this research suggest the inclusion of siblings in interventions.

Parcels v0.9: prototyping a Lagrangian ocean analysis framework for the petascale age

Abstract. As ocean general circulation models (OGCMs) move into the petascale age, where the output of single simulations exceeds petabytes of storage space, tools to analyse the output of these models will need to scale up too. Lagrangian ocean analysis, where virtual particles are tracked through hydrodynamic fields, is an increasingly popular way to analyse OGCM output, by mapping pathways and connectivity of biotic and abiotic particulates. However, the current software stack of Lagrangian ocean analysis codes is not dynamic enough to cope with the increasing complexity, scale and need for customization of use-cases. Furthermore, most community codes are developed for stand-alone use, making it a nontrivial task to integrate virtual particles at runtime of the OGCM. Here, we introduce the new Parcels code, which was designed from the ground up to be sufficiently scalable to cope with petascale computing. We highlight its API design that combines flexibility and customization with the ability to optimize for HPC workflows, following the paradigm of domain-specific languages. Parcels is primarily written in Python, utilizing the wide range of tools available in the scientific Python ecosystem, while generating low-level C code and using just-in-time compilation for performance-critical computation. We show a worked-out example of its API, and validate the accuracy of the code against seven idealized test cases. This version 0.9 of Parcels is focused on laying out the API, with future work concentrating on support for curvilinear grids, optimization, efficiency and at-runtime coupling with OGCMs.

Using the Language of Wellbeing in the Care of the Elderly in Mexico

The language we use with others derives from hidden assumptions about them and commands expectations and outcomes. That is why the constructs and language used in health services provided to the elderly are a worthwhile object of study.This paper addresses the language used in the services provided to the elderly population in Mexico and many other Latin-American countries. The psychological, linguistic and practical aspects of the wellbeing language paradigm are discussed. The linguistic analysis of the discourse used by health care providers conveys important implications to the kind, quality and purpose of intervention.It is argued that by using the language of wellness, health professionals are in a better position to listen and assess the degree of satisfaction and happiness, to explore for conditions that may promote or hinder quality of life, and also, they are in a better position for planning services to the elderly that reach beyond physical health and economic indicators.It is posited that quality of life in old age is incomplete without a sense of the patient’s wellbeing.

Dynamic atomicity: optimizing swift memory management

Swift is a modern multi-paradigm programming language with an extensive developer community and open source ecosystem. Swift 3's memory management strategy is based on Automatic Reference Counting (ARC) augmented with unsafe APIs for manually-managed memory. We have seen ARC consume as much as 80% of program execution time. A significant portion of ARC's direct performance cost can be attributed to its use of atomic machine instructions to protect reference count updates from data races. Consequently, we have designed and implemented dynamic atomicity, an optimization which safely replaces atomic reference-counting operations with nonatomic ones where feasible. The optimization introduces a store barrier to detect possibly intra-thread references, compiler-generated recursive reference-tracers to find all affected objects, and a bit of state in each reference count to encode its atomicity requirements. Using a suite of 171 microbenchmarks, 9 programs from the Computer Language Benchmarks Game, and the Richards benchmark, we performed a limit study by unsafely making all reference counting operations nonatomic. We measured potential speedups of up to 220% on the microbenchmarks, 120% on the Benchmarks Game and 70% on Richards. By automatically reducing ARC overhead, our optimization both improves Swift 3's performance and reduces the temptation for performance-oriented programmers to resort to unsafe manual memory management. Furthermore, the machinery implemented for dynamic atomicity could also be employed to obtain cheaper thread-safe Swift data structures, or to augment ARC with optional cycle detection or a backup tracing garbage collector.

Measuring language lateralisation with different language tasks: a systematic review.

Language lateralisation refers to the phenomenon in which one hemisphere (typically the left) shows greater involvement in language functions than the other. Measurement of laterality is of interest both to researchers investigating the neural organisation of the language system and to clinicians needing to establish an individual’s hemispheric dominance for language prior to surgery, as in patients with intractable epilepsy. Recently, there has been increasing awareness of the possibility that different language processes may develop hemispheric lateralisation independently, and to varying degrees. However, it is not always clear whether differences in laterality across language tasks with fMRI are reflective of meaningful variation in hemispheric lateralisation, or simply of trivial methodological differences between paradigms. This systematic review aims to assess different language tasks in terms of the strength, reliability and robustness of the laterality measurements they yield with fMRI, to look at variability that is both dependent and independent of aspects of study design, such as the baseline task, region of interest, and modality of the stimuli. Recommendations are made that can be used to guide task design; however, this review predominantly highlights that the current high level of methodological variability in language paradigms prevents conclusions as to how different language functions may lateralise independently. We conclude with suggestions for future research using tasks that engage distinct aspects of language functioning, whilst being closely matched on non-linguistic aspects of task design (e.g., stimuli, task timings etc); such research could produce more reliable and conclusive insights into language lateralisation. This systematic review was registered as a protocol on Open Science Framework: https://osf.io/5vmpt/.

Silent Sentence Completion Shows Superiority Localizing Wernicke\u2019s Area and Activation Patterns of Distinct Language Paradigms Correlate with Genomics: Prospective Study

Preoperative mapping of language areas using fMRI greatly depends on the paradigms used, as different tasks harness distinct capabilities to activate speech processing areas. In this study, we compared the ability of 3 covert speech paradigms: Silent Sentence Completion (SSC), category naming (CAT) and verbal fluency (FAS), in localizing the Wernicke’s area and studied the association between genomic markers and functional activation. Fifteen right-handed healthy volunteers and 35 mixed-handed patients were included. We focused on the anatomical areas of posterosuperior, middle temporal and angular gyri corresponding to Wernicke’s area. Activity was deemed significant in a region of interest if P < 0.05. Association between fMRI activation and genomic mutation status was obtained. Results demonstrated SSC’s superiority at localizing Wernicke’s area. SSC demonstrated functional activity in 100% of cancer patients and healthy volunteers; which was significantly higher than those for FAS and CAT. Patients with 1p/19q non-co-deleted had higher extent of activation on SSC (P < 0.02). Those with IDH-1 wild-type were more likely to show no activity on CAT (P < 0.05). SSC is a robust paradigm for localizing Wernicke’s area, making it an important clinical tool for function-preserving surgeries. We also found a correlation between tumor genomics and functional activation, which deserves more comprehensive study.

American Society of Functional Neuroradiology-Recommended fMRI Paradigm Algorithms for Presurgical Language Assessment.

Functional MR imaging is increasingly being used for presurgical language assessment in the treatment of patients with brain tumors, epilepsy, vascular malformations, and other conditions. The inherent complexity of fMRI, which includes numerous processing steps and selective analyses, is compounded by institution-unique approaches to patient training, paradigm choice, and an eclectic array of postprocessing options from various vendors. Consequently, institutions perform fMRI in such markedly different manners that data sharing, comparison, and generalization of results are difficult. The American Society of Functional Neuroradiology proposes widespread adoption of common fMRI language paradigms as the first step in countering this lost opportunity to advance our knowledge and improve patient care. A taskforce of American Society of Functional Neuroradiology members from multiple institutions used a broad literature review, member polls, and expert opinion to converge on 2 sets of standard language paradigms that strike a balance between ease of application and clinical usefulness. The taskforce generated an adult language paradigm algorithm for presurgical language assessment including the following tasks: Sentence Completion, Silent Word Generation, Rhyming, Object Naming, and/or Passive Story Listening. The pediatric algorithm includes the following tasks: Sentence Completion, Rhyming, Antonym Generation, or Passive Story Listening. Convergence of fMRI language paradigms across institutions offers the first step in providing a "Rosetta Stone" that provides a common reference point with which to compare and contrast the usefulness and reliability of fMRI data. From this common language task battery, future refinements and improvements are anticipated, particularly as objective measures of reliability become available. Some commonality of practice is a necessary first step to develop a foundation on which to improve the clinical utility of this field.

Student Perceptions of the English as an Intercultural Language (EIcL) Paradigm

Student Perceptions of the English as an Intercultural Language (EIcL) Paradigm

The Motivational Foundation of Learning Languages Other Than Global English: Theoretical Issues and Research Directions

The theoretical paradigms of second language (L2) learning motivation developed over the past 25 years have been largely based on the study of English as a target language, which raises the question as to whether they are equally applicable to the understanding of the motivation to learn languages other than English (LOTEs). It is suggested in this article that current conceptualizations of L2 motivation display certain subtle characteristics that may not do full justice to the understanding of the motivation underlying LOTEs, either by downplaying certain important features or by providing an insufficiently nuanced representation of areas where the motivation to learn English and LOTEs diverges. The discussion addresses five such aspects: (a) the confounding interaction of English‐ and LOTE‐related self‐images, (b) the individualistic focus of the ideal L2 self, (c) the different nature/role of the ought‐to self associated with languages with substantial versus marginal social support, (d) the different nature of goals in the learning of English and LOTEs, and (e) the differing role of unconscious motives in the study of English and LOTEs.

Does education play a role in language reorganization after surgery in drug refractory temporal lobe epilepsy: An fMRI based study?

ObjectivesPatients with drug refractory epilepsy (DRE) and a high level of education may differ in their language recovery after surgery. Our aim was to determine whether there were differences in the extent of improvement and pattern of reorganization of language functions on functional magnetic resonance imaging (fMRI) after surgery to treat refractory temporal lobe epilepsy (TLE) between patients with more than 12 years of formal education versus those with a shorter period of regular schooling. MethodsAfter approval by an institutional ethics committee, 60 right-handed, adult patients of left TLE and 20 right-handed, healthy controls were recruited to the study. Multiple aspects of language (Repetition, Naming, Word fluency, Visual word and Comprehension reading) were tested using the Indian Aphasia Battery (IAB) in the Hindi language; fMRI was performed using a standardized Hindi language paradigm (lexical, semantic, syntactic and comprehension components) in both cases and controls, before and after an anterior temporal lobectomy (in cases) with a 1.5T MR Scanner. An array of performance tests of intelligence and the verbal adult intelligence scale (VAIS) were used to measure the Intelligence Quotient (IQ) in Left TLE (LTLE) patients before and after surgery. Language laterality was estimated using the laterality index (LI-toolbox-spm8). Cohen’s d test was performed to determine the effect sizes of the differences in the IAB scores, and Pearson’s correlation was applied between regional (IFG and STG) activation in controls and TLE patients with more than 12 years of schooling [higher educational status (HES subgroup)] and those with less than 12 years of schooling [lower educational status (LES subgroup)]. ResultsAt the baseline, clinical testing with IAB showed better scores in controls than in cases. Better scores were observed in subjects with higher levels of education than in those with lower levels of education. An improvement was observed in IQ scores in both the HES and LES groups after ATLR; significant worsening in the abstract ability subtest was noted in the LES group, whereas in the HES group there was an improvement. Blood-oxygen-level dependent (BOLD) activation during language tasks was observed in both cerebral hemispheres in the TLE cases, while it was observed in the traditional left hemispheric language areas in controls. Postoperatively, greater BOLD activation was observed in the left inferior frontal gyri (IFG, r=0.65*; p<0.05), middle frontal gyrus (MFG, r=0.77**; p<0.01) superior temporal gyri (STG, r=0.88* p<0.02) and angular gyrus (AG, r=0.73*; p<0.04) in HES compared to LES subjects. Similarly, LI showed left lateralization of the frontal (LIw=0.77 & 0.71) and temporal (LIw=0.74 & 0.5) regions in controls and the TLE group (post-surgery) compared to the pre-surgery group during language tasks. ConclusionsGreater improvement in language skills and BOLD activation in the left hemisphere in TLE-patients (after epilepsy surgery) with a high level of education was similar to that of healthy controls, implying that education has an effect on the functional reorganization/recovery of language areas.

Exploring English Language Teaching in an Ecuadorian Urban Secondary Institution

This article presents a case study focused on the pedagogy of nine English language teachers’ pedagogy in Ecuador. The significance of this study is its potential to inform practitioners, teacher educators, and policymakers in countries where teachers need to be prepared to teach in multilingual settings, such as Ecuador. Data analyses of nine observations of practicing teachers seems to suggest the curriculum used to prepare English teachers does not fully meet the educational needs of teachers or students. Observations of secondary level English teachers were conducted using the Classroom Observation Checklist (2010). This instrument is useful to analyze teachers’ delivery of content, lesson organization, classroom interactions, verbal and non-verbal communication in the classroom, and integration of media during instruction. One major theme emerged from data analyses; English language teaching appears to follow teaching as a foreign language paradigm. The validation of the results of this exploratory study through the participation of a larger sample size of classroom teachers would be important to provide a more robust conclusion regarding teaching diverse student populations.

IMPLICIT LEARNING IN THE CROWD

AbstractA growing field of research has made use of a semiartificial language paradigm to investigate the role of awareness in L2 acquisition. A central and empirically still unresolved issue in this field concerns the possibility of learning implicitly, that is, without intention to learn and without awareness of what has been learned. Up until now, studies on implicit learning have mainly been conducted in laboratory settings under highly controlled conditions with university students as participants. The present study investigated whether and to what extent the results obtained in such settings can be extrapolated to the general population. Building on Williams (2005), we designed two crowdsourcing experiments that examined the learning of novel form-meaning mappings under incidental conditions in 163 participants. Our design allowed us to disentangle the effects of awareness at the level of noticing and understanding. The results of the two experiments demonstrated the implicit learning effect outside the lab in a more varied sample of participants and indicated that awareness at both levels appears to have a facilitative effect on learning outcomes.