Context Of Use Research Articles

Creating Communicative Context Through the Use of Emoji and Politeness in Online Academic Written Interactions

Creating Communicative Context Through the Use of Emoji and Politeness in Online Academic Written Interactions. The current study aims to provide a glimpse into the way higher education students and language instructors establish rapports in the academic written communication framework through the use of emoji and online face-work strategies. Contextualisation cues are created in order to regulate transaction based communicative exchanges that result in positive outcomes, subsequently fostering an inclusive culture. Linguistic display of online discourse is fraught with perils that may impede on appropriate written academic interactions occurring between instructors and students. Negotiation of identity becomes a main objective, as there are differences in status, power and various degrees of communicative achievement between interactants. The study shares results obtained from a questionnaire administered to 92 Romanian undergraduate students offering a framework for embedding emoji and face-work in online identity negotiation via written communication. It aims to offer a digital pedagogical competence approach to cater for the emotional needs of learners whose identities as digital natives take additional effort to create in the context of using transversal skills. The main findings of the study suggest that emoji and face work enable foreign language students to better manipulate their self-image when communicating online. Keywords: identity negotiation, online linguistic discourse, emoji, pragmatic politeness, face-work strategies, written communication, context, social and emotional learning.

COMPARATIVE ANALYSIS OF MULTILINGUAL QA MODELS AND THEIR ADAPTATION TO THE KAZAKH LANGUAGE

This paper presents a comparative analysis of large pretrained multilingual models for question-answering (QA) systems, with a specific focus on their adaptation to the Kazakh language. The study evaluates models including mBERT, XLM-R, mT5, AYA, and GPT, which were tested on QA tasks using the Kazakh sKQuAD dataset. To enhance model performance, fine-tuning strategies such as adapter modules, data augmentation techniques (back-translation, paraphrasing), and hyperparameter optimization were applied. Specific adjustments to learning rates, batch sizes, and training epochs were made to boost accuracy and stability. Among the models tested, mT5 achieved the highest F1 score of 75.72%, showcasing robust generalization across diverse QA tasks. GPT-4-turbo closely followed with an F1 score of 73.33%, effectively managing complex Kazakh QA scenarios. In contrast, native Kazakh models like Kaz-RoBERTa showed improvements through fine-tuning but continued to lag behind larger multilingual models, underlining the need for additional Kazakh-specific training data and further architectural enhancements. Kazakh’s agglutinative morphology and the scarcity of high-quality training data present significant challenges for model adaptation. Adapter modules helped mitigate computational costs, allowing efficient fine-tuning in resource-constrained environments without significant performance loss. Data augmentation techniques, such as back-translation and paraphrasing, were instrumental in enriching the dataset, thereby enhancing model adaptability and robustness. This study underscores the importance of advanced fine-tuning and data augmentation strategies for QA systems tailored to low-resource languages like Kazakh. By addressing these challenges, this research aims to make AI technologies more inclusive and accessible, offering practical insights for improving natural language processing (NLP) capabilities in underrepresented languages. Ultimately, these findings contribute to bridging the gap between high-resource and low-resource language models, fostering a more equitable distribution of AI solutions across diverse linguistic contexts.

Challenges and Strategies for Acquiring Adjectives

ABSTRACTChildren acquiring language must learn a variety of words mapping on to different kinds of concepts. Typically, word learning accounts focus on how children strategically acquire words for entities (nouns) and events (verbs). Often underrepresented are word for properties (adjectives). While adjectives, like verbs, may trail behind many nouns in early production, and may not always be required to refer or express truth‐conditional meaning, they are essential for distinguishing among entities and events in the world, and communicating clearly in disciplines such as language arts and science. Moreover, nearly every language has the grammatical category of adjectives. It is therefore critical to know what challenges children face in acquiring adjectives, and what supports their acquisition. Here, I outline three main aspects that, together, render the process of learning adjectives both vexing and linguistically intriguing. First, there is cross‐linguistic variation in how languages around the world treat words for properties. Second, the syntactic position of adjectives varies across and within languages, and is often correlated with subtle differences in meaning. Third, within the category of adjectives, a wide range of meanings may be encoded. I review findings across these areas that document children's successes and challenges with these aspects of adjective distribution and meaning. To counter these challenges, I end by covering three effective and empirically documented strategies for adjective learning, which rely on attending to key information in both the linguistic and extralinguistic context. I close with a brief discussion of prospects for future research on this topic.

Framing the shooting of Al Jazeera journalist Shireen Abu Akleh in English and Arabic news headlines: a critical discourse study

The study aims to investigate the ideological manipulation of language within news media headlines regarding the killing of Palestinian journalist Shireen Abu Akleh. This study employs Van Dijk’s socio-cognitive model of Critical Discourse Analysis to conduct a comparative qualitative analysis of 100 Arabic and 100 English news headlines, exploring linguistic features at both microstructure and macrostructure levels. The analysis delves into identity construction for the victim and perpetrator, revealing the discursive linguistic manifestations of underlying ideologies in two distinct linguistic and cultural contexts. The microstructure analysis reveals the preference of Arabic headlines for active voice structure, rhetorical devices of numeration, emphatic language, and metaphors. On the other hand, English headlines preferred the passive voice structure and the rhetorical device of litotes. The macrostructure analysis unravels the cognitive interplay between news media outlets and their target audience, demonstrating how selective headlines significantly impact public opinion. It shapes their comprehension and interpretation, particularly within the broader context of the Israeli-Palestinian conflict. Ultimately, this research highlights the dynamic interplay between language, ideology, and power in news media, offering key recommendations for understanding their comparative impacts.

Study Abroad Students’ Social Contacts in Different Linguistic Contexts and Their Relationship With English Use and Development

AbstractOur contribution draws on quantitative data from a longitudinal mixed‐methods study to uncover different patterns of social contacts of study abroad (SA) students and the relationship of these social contacts with (a) language use, (b) target language development, and (c) contextual variables. Data were obtained by means of online questionnaires pre, during, and post sojourn. English oral proficiency gains were measured using the Oral Proficiency Interview by Computer (OPIc) test before and after the stay. Latent profile analysis yielded four profiles of social contacts, which differed in terms of the degree of integration into the community of locals or international students. Students with distinct profiles differ significantly with respect to language use but not in terms of language gains. Regression analyses indicate that comparable progress in oral proficiency was made by students across profiles of social contacts and also by those in an English as a lingua franca (ELF) context suggesting that different SA context and networking patterns are conducive to second language (L2) gains.

Does the Cultural Context Influence on Reading Comprehension?

Language is an essential tool that shapes human interactions and understanding from birth, blending innate abilities with environmental factors. Oral language is the first form of communication, while written language develops through structured learning. Piaget's theory suggests a strong connection between language development and cognitive growth, with cultural context playing a significant role. Sociolinguistic theory also emphasizes how social and cultural factors influence linguistic interactions, shaping expression in different settings. This study examined the relationship between reading comprehension and cultural identity. A reading test, featuring texts reflecting diverse linguistic and cultural realities, was administered to 120 students in Barranquilla. The test included informal, informational, and literary readings, each tied to specific contexts. The results demonstrated that students more easily understood culturally familiar texts, while unfamiliar contexts posed greater challenges. This suggests that cultural familiarity significantly enhances reading comprehension, while cultural distance can hinder interpretation. The findings highlight the critical role of cultural and linguistic context in reading comprehension. Texts aligned with a reader's cultural experiences improve understanding and retention, pointing to the need for educational approaches that integrate students' cultural backgrounds to enhance learning and motivation.

Sentiment Analysis of Nigerian Opinions Using Logistic Regression and Random Forest Algorithms: A Comparative Study

This study investigates the efficacy of Logistic Regression and Random Forest models in sentiment analysis using Nigerian-based datasets, namely "Gangs of Lagos" and "PeterObi Politics." Sentiment analysis, a vital component of Natural Language Processing (NLP), plays a crucial role in understanding public opinion and sentiment trends, particularly in the context of Nigerian socio-political discourse. Leveraging machine learning techniques, the study examines the performance of these models in predicting sentiment classes, including positive, negative, and neutral sentiments, within the datasets. The findings shed light on the strengths and limitations of Logistic Regression and Random Forest in discerning sentiment nuances prevalent in Nigerian language expressions with Logistic Regression outperforming Random Forest in both cases. This research contributes to the advancement of sentiment analysis methodologies tailored to Nigerian linguistic and cultural contexts, with implications for various applications, including social media monitoring, political analysis, and market research.

Using Spectral Flow Cytometry for CAR T-Cell Clinical Trials: Game Changing Technologies Enabling Novel Therapies

Monitoring chimeric antigen redirected (CAR) T-cells post-infusion in clinical trials is a specialized application of flow cytometry. Unlike the CAR T-cell monitoring for individual patients conducted in clinical laboratories, the data generated during a clinical trial will be used not only to monitor the therapeutic response of a single patient, but determine the success of the therapy itself, or even of an entire class of therapeutic compounds. The data, typically acquired at multiple testing laboratories, will be compiled into a single database. The data may also be used for mathematical modeling of cellular kinetics or to identify predictive biomarkers. With the expanded context of use, a robust, standardized assay is mandatory in order to generate a valuable and reliable data set. Hence, the requirements for assay validation, traceable calibration, technology transfer, cross-instrument standardization and regulatory compliance are high.

Word learning in the wild: App-based evidence for valence and concreteness effects

Abstract Second language (L2) learners need to acquire large vocabularies to approach native-like proficiency. Many controlled experiments have investigated the factors facilitating and hindering word learning; however, few studies have validated these findings in real-world learning scenarios. We use data from the language learning app Lingvist to explore how L2 word learning is affected by valence (positivity/negativity) and concreteness of target words and their linguistic contexts. We found that valence, but not concreteness, affects learning. Users learned positive and negative words better than neutral ones. Moreover, positive words are learned best in positive contexts and negative words in more negative contexts. Word and context valence effects are strongest on the learner’s second encounter with the target word and diminish across subsequent encounters. These findings provide support for theories of embodied cognition and the lexical quality hypothesis and point to the linguistic factors that make learning words, and by extension languages, faster.

The impact of visual information in speech perception for individuals with hearing loss: a mini review.

This review examines how visual information enhances speech perception in individuals with hearing loss, focusing on the impact of age, linguistic stimuli, and specific hearing loss factors on the effectiveness of audiovisual (AV) integration. While existing studies offer varied and sometimes conflicting findings regarding the use of visual cues, our analysis shows that these key factors can distinctly shape AV speech perception outcomes. For instance, younger individuals and those who receive early intervention tend to benefit more from visual cues, particularly when linguistic complexity is lower. Additionally, languages with dense phoneme spaces demonstrate a higher dependency on visual information, underscoring the importance of tailoring rehabilitation strategies to specific linguistic contexts. By considering these influences, we highlight areas where understanding is still developing and suggest how personalized rehabilitation strategies and supportive systems could be tailored to better meet individual needs. Furthermore, this review brings attention to important aspects that warrant further investigation, aiming to refine theoretical models and contribute to more effective, customized approaches to hearing rehabilitation.

Domestic, artisanal, and ritual activities in a classic Maya city: Functional analysis of flint drills from the Cancuén site (AD 650–800, Guatemala)

The difficulty in determining the domestic and craft activities that took place in Maya cities during the Classic period (250–950 CE) has resulted in much debate on the nature and functioning of Mesoamerican cities. These activities are rarely identified because of the systematic cleaning of the occupied spaces that occurred and the unfavourable conditions for the preservation of perishable objects. To characterize the activities that took place in the areas uncovered, we carried out a functional analysis of the lithic tools most frequently found during excavations. Our study focused on the site of Cancuén (Guatemala), which because of its short chronology, is an ideal case for determining the spatial distribution of the activities that took place there. Our analysis focused on one type of tool: flint drills, rare in the Maya region but abundant within the city of Cancuén. The tools selected for the functional analysis come from several contexts–domestic, public, ritual (burial) as well as places of artisanal production – in order to determine the difference in status of these objects according to their contexts of use. The results of the functional analysis show that drills were used for a wide variety of tasks. While this type of tool was used as needed for various materials, including wood and pottery, it was sometimes used for very specialized activities, such as the working of teeth. The analysis of tools from ritual contexts suggests that their presence could have added value to the offering. This analysis enables us to provide the first elements of understanding of the organization of artisanal, domestic, and ritual activities in the city of Cancuén.

An Analysis of Lukabaras Borrowed Verbs from English

English as an official language, has come in contact with indigenous languages in Kenya. English has therefore become one of the major donors of loanwords to these indigenous languages, Lukabaras being one of the beneficiaries. This study investigated the morpho-phonological constraints that English loan verbs encounter when adapting into Lukabaras. The research utilized Lukabaras native speakers as respondents to elicit data. A purposive sampling technique was employed to select a sample of 15 English loan verbs, which were then analyzed descriptively based on the tenets of Optimality Theory which states that constraints are universal and are fixed in their ranking and apply to all languages. The loan verbs were transcribed, and the study first analyzed the morphological constraints, followed by the phonological constraints. The findings reveal that English and Lukabaras have different morphological and phonological structures, leading to modifications of English loan verbs to fit the morphological and phonological patterns of Lukabaras. Additionally, the study identifies specific morpho-phonological constraints affecting the adaptation of English loan verbs into Lukabaras, including NOCODA, COMPLEX C, MAX IO, ONSET, DEP IO, IDENT IO, DEP-PREF, DEP-SUFFIX, and ALIGN left edge. Furthermore, faithful constraints are ranked higher than markedness constraints in Lukabaras. The study’s findings contribute to the understanding of morpho-phonological adaptation processes in language contact scenarios. Overall, the study’s findings align with the theoretical framework provided by OT, illustrating how languages manage the integration of foreign elements through a balance of faithfulness and markedness constraints. These findings not only enhance the understanding of loanword adaptation in Lukabaras but also contribute to the broader field of language contact and borrowing, providing a detailed case study of how specific constraints operate in a real-world linguistic context.

An industry perspective on the FDA modernization act 2.0/3.0: Potential next steps for sponsors to reduce animal use in drug development

Abstract Pharmaceutical developers are encouraged to adopt the best practices of being purposefully thoughtful about the use of animals, seeking alternatives wherever possible. They should engage with health authorities to increase their familiarity with the methods, study designs, data outputs and the context of use for new approach methodologies (NAMs). Although current state of technology does not yet provide adequate models to fully replace in vivo studies, many models are sufficiently good for an augmented approach that will enhance our understanding of in vitro to in vivo correlations and advance the long-term goal of reducing animal use through innovative NAMs. The goal of future nonclinical safety packages is to advance the utilization of such enabling technologies towards appropriate human risk characterization. Establishing confidence in NAMs is a critical first step. For example, sponsors may include both “traditional” and NAM-based nonclinical safety data in regulatory submissions to establish confidence with health authorities. In addition, regulators should create a “safe-harbor” for hybrid nonclinical data packages to facilitate iterative learning, refinement, and implementation of NAM-based safety assessment strategies. Sponsors are urged to contribute to NAMs evolution through consortia participation, peer-reviewed publications, and documenting animal reduction in studies/programs, accelerating the eventual elimination of animal use in pharmaceutical development, as envisioned in the FDA Modernization Act 3.0.

Event as the central construal of psychological time in humans.

Time is a fundamental dimension of our perception and mental construction of reality. It enables resolving changes in our environment without a direct sensory representation of elapsed time. Therefore, the concept of time is inferential by nature, but the units of subjective time that provide meaningful segmentation of the influx of sensory input remain to be determined. In this review, we posit that events are the construal instances of time perception as they provide a reproducible and consistent segmentation of the content. In that light, we discuss the implications of this proposal by looking at "events" and their role in subjective time experience from cultural anthropological and ontogenetic perspectives, as well as their relevance for episodic memory. Furthermore, we discuss the significance of "events" for the two critical aspects of subjective time-duration and order. Because segmentation involves parsing event streams according to causal sequences, we also consider the role of causality in developing the concept of directionality of mental timelines. We offer a fresh perspective on representing past and future events before age 5 by an egocentric bi-directional timeline model before acquiring the allocentric concept of absolute time. Finally, we illustrate how the relationship between events and durations can resolve contradictory experimental results. Although "time" warrants a comprehensive interdisciplinary approach, we focus this review on "time perception", the experience of time, without attempting to provide an all encompassing overview of the rich philosophical, physical, psychological, cognitive, linguistic, and neurophysiological context.

OF THE DEAR DICTIONARIES. ON THE SPECIAL LEXICOGRAPHY OF GERMAN IN ROMANIA – AN ENCOURAGING REVIEW

Starting from some considerations about the historic language usus, the article presents the status and the peculiarities of Romanian German. Statements regarding the current linguistic status of the German language in Romania and its speakers are being made with regard to the present linguistic context, aiming to highlight the profile of German as a regional language and to point out the need for its lexicographic charting in specialised dictionaries.

Discourse markers of rejection in three varieties of Spanish

In the study of discourse markers in Spanish, a field with great vitality in the last few decades, it is common to overlook the expressions used to accept or reject a proposal, suggestion or petition, often included within the broader functions of agreement and disagreement. These answers, used in an informal oral interactive context, exhibit a rich dialectal variety. Due to the fleeting nature of their contexts of use, they are difficult to formally register for further study, especially when looking at them from a panhispanic perspective. For this reason, an anonymous survey was designed in order to ask native speakers about their familiarity with a series of discourse markers used to answer “no” to a proposal. The questionnaire was disseminated in the countries of Spain, Mexico and Colombia, specifically around the capital areas. Participants (N=223) evaluated from 1 (I do not know this expression) to 5 (I use this expression frequently) a series of possible responses, and they were offered the option to provide some other answers not included in the original list. Results show that, while some discourse markers are used to a certain degree in the three varieties, others are prototypical from one of these dialects. The opportunity to offer new expressions was very productive, especially in the case of participants from Colombia and Mexico. While this study focuses on three particular regions, it opens the door to a comparative analysis of discourse markers of negation throughout the Spanish speaking world.

Global Texts, Unified Action: Tackling Cyberbullying Across Multiple Languages

Cyberbullying, a widespread issue in digital communication, involves using online platforms to harass or demean individuals. Addressing it effectively requires understanding its manifestations across different linguistic contexts. This study presents a novel approach to cyberbullying detection, exploring its manifestations in seven languages through two distinct research paradigms: monolingual and multilingual scenarios. The monolingual approach focuses on developing and testing detection models within a single language framework. In contrast, the multilingual approach, which has shown superior performance, integrates data from multiple languages to train a unified model. This innovative strategy aims to harness broader linguistic diversity and enhance the model’s generalizability. We utilized three computational models: SONAR[Formula: see text]DNN, MUSE[Formula: see text]CNN-BiLSTM, and XLM-RoBERTa, with the SONAR[Formula: see text]DNN architecture demonstrating the most effective performance. This model combines SONAR’s sentence-level embeddings with the nuanced understanding of DNN, making it particularly adept at handling the complex variations of cyberbullying across languages. Our results indicate that multilingual models perform better, particularly in languages with significant representation, such as Arabic and English. Our evaluation shows that our models consistently outperform the best-recorded results on seven diverse datasets, achieving superior performance in six. This significant achievement underscores the robustness of our approach and marks an essential advancement in cyberbullying detection.

Information Sources for Word Meaning in Children’s Picture Books: A Human Simulation Paradigm Study

ABSTRACT Picture book reading is widely regarded as an activity that promotes multiple aspects of children’s language acquisition, including their vocabulary development. Historically, researchers interested in what underlies the link between picture book reading and vocabulary development have investigated a suite of caregiver behaviors during picture book reading that might support learning. More recently, with the advent of modern text analytic tools, researchers have begun to look at the properties of the picture books themselves and have revealed many ways in which the language in picture book text may support learning. The current study adds to this growing literature but focuses not only on how the language in picture books might support word learning but also on how its visual content supports learning. In an adaptation of the Human Simulation Paradigm applied to commonly read picture books to English-learning children, the current study involved adults (N = 96). Results showed that a word’s linguistic and visual contexts in picture books are both valuable sources of information about that word’s meaning, and that their relative contributions may vary as a function of the book’s target audience and the word in question. Moreover, the combined visuo-linguistic context may be an especially valuable source of information for word learning. The implications of this work for the mechanisms by which picture books contribute to word learning are discussed.

Early Detection of Mental Health Crises through Artifical-Intelligence-Powered Social Media Analysis: A Prospective Observational Study.

The early detection of mental health crises is crucial for timely interventions and improved outcomes. This study explores the potential of artificial intelligence (AI) in analyzing social media data to identify early signs of mental health crises. We developed a multimodal deep learning model integrating natural language processing and temporal analysis techniques. The model was trained on a diverse dataset of 996,452 social media posts in multiple languages (English, Spanish, Mandarin, and Arabic) collected from Twitter, Reddit, and Facebook over 12 months. Its performance was evaluated using standard metrics and validated against expert psychiatric assessments. The AI model demonstrated a high level of accuracy (89.3%) in detecting early signs of mental health crises, with an average lead time of 7.2 days before human expert identification. Performance was consistent across languages (F1 scores: 0.827-0.872) and platforms (F1 scores: 0.839-0.863). Key digital markers included linguistic patterns, behavioral changes, and temporal trends. The model showed varying levels of accuracy for different crisis types: depressive episodes (91.2%), manic episodes (88.7%), suicidal ideation (93.5%), and anxiety crises (87.3%). AI-powered analysis of social media data shows promise for the early detection of mental health crises across diverse linguistic and cultural contexts. However, ethical challenges, including privacy concerns, potential stigmatization, and cultural biases, need careful consideration. Future research should focus on longitudinal outcome studies, ethical integration of the method with existing mental health services, and developing personalized, culturally sensitive models.

Measurement invariance and differential item functioning of the functionality appreciation scale (FAS) in Colombia and Spain

The Functionality Appreciation Scale (FAS) is increasingly used in diverse national and linguistic contexts. However, limited work has assessed the extent to which the instrument demonstrates measurement invariance and differential item functioning (DIF) across nations and respondent characteristics. Here, we examined measurement invariance and DIF of the FAS using archival data from adults in Colombia (Mebarak et al., 2023) and Spain (Zamora et al., 2024). Participants included 1420 (women n = 804, men n = 616) respondents from Colombia and 838 (women n = 415, men n = 423) respondents from Spain who completed translations of the FAS. Confirmatory factor analysis supported a unidimensional structure of the FAS in both national groups. Additionally, the FAS achieved full measurement invariance (up to latent mean invariance) across both groups. We also found that the FAS lacked DIF as a function of age, body mass index (BMI), and gender identity across both national groups. Older participants (relative to younger participants), men (relative to women), and participants with lower BMIs (relative to those with higher BMIs) had higher FAS scores. These results support the notion that the FAS is measuring a common underlying construct across these national groups and respondent characteristics.