Cognitive Model Research Articles

Кодовая паремиологическая когнитивная модель концепта МИЛОСЕРДИЕ в английском и русском языках

The research aims to determine the characteristics of constructing code-based paremiological cognitive models of the MERCY concept in the non-cognate language formats of English and Russian worldviews. The scientific novelty lies in identifying the architecture of code-based paremiological cognitive models representing the culturally marked spectrum of the nominative field of the MERCY concept in English and Russian, in constructing classifications of code-based cognitive models in the paremiological stocks of non-cognate languages, in determining the differences in the functioning of code-based paremiological cognitive models of the MERCY concept in the formats of English and Russian linguistic worldviews, and in enriching the scientific thesaurus of cognitive linguistics with such concepts as “a code-based paremiological cognitive model”, “the paremiological polarization of the code format of a cognitive model”. As a result, it has been proved that the functioning of code-based paremiological cognitive models in English and Russian linguistic worldviews occurs along similar and different lines. The similarity is manifested in the presence of models such as “mercy – God”, “mercy – help”, “mercy – truth”, while the difference is seen in the frequency of nominations of code models. Among the latter, the models “mercy – cruelty”, “mercy – forgiveness”, and “mercy – truth” prevail in the English paremiological stock. At the same time, the models “mercy – God”, “mercy – soul/heart”, “mercy – good” predominate in the Russian paremiological stock. The development and introduction of a new approach to interpreting the paremiological stock through the construction of code-based paremiological cognitive models enriches the theoretical and methodological basis of modern cognitive linguistics.

In vivo neuroprotective effect of Guaiacum officinale leaf extracts in scopolamine-induced cognitive impairment model

ABSTRACT The phytochemical composition and neuroprotective potential of the ethanolic extract of Guaiacum officinale leaves against scopolamine-induced amnesia were investigated. Spatial memory was evaluated through the Morris water maze, while the entire brain was assessed for acetylcholinesterase (AchE), malondialdehyde (MDA), and superoxide dismutase (SOD) levels. The presence of glycosides, alkaloids, steroids, terpenoids, flavonoids, and saponins was detected in the ethanolic extract through phycological analysis. The findings suggested that the ethanolic extract alleviated scopolamine-induced spatial memory impairments caused by scopolamine and decreased the AchE activity. The study also detailed MDA, SOD, transfer latency periods, and acetylcholine esterase levels in both normal and extract-treated groups.

Early perceptual locus of suppression during the attentional blink.

The attentional blink (AB) demonstrates that recognizing the second of two targets (T1 and T2) is difficult when they appear in close succession in a rapid serial visual presentation (RSVP) stream. The AB has been widely accepted as a suppression of T2 processing at the postperceptual stage. The current event-related potential study updates this view by demonstrating the existence of an early perceptual locus of suppression during the AB. Using line drawings of real-life objects as RSVP items, we required participants in Experiment 1 to either discriminate the exact identities or simply classify the object categories of T1 and T2, and in Experiment 2, we instructed participants to discriminate either T1 and T2 identities (dual-target task) or only T2 identity (single-target task) to invalidate the temporal expectation as an alternative account. The results of Experiments 1 and 2 showed that the T2-elicited first positive peak (P1) component was consistently decreased at Lag 3 whenever a dual-target, but not single-target, task was required, and the magnitude of this P1 suppression was significantly predictive of the behavioral AB magnitude in each dual-target task. When the RSVP items were substituted by classic but size-matched alphanumeric characters in Experiment 3, no P1 suppression was evident as expected, ruling out the large stimulus size as an alternative interpretation. These findings provide the strongest evidence to date that the AB can begin to suppress T2 processing at a very early perceptual stage, at least when observers encounter RSVP items of real-life objects, which calls for more flexible cognitive models for the AB. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Innovative Integration of Computer Network Technology in Modern Educational Systems

A novel educational system has been developed using the Radial Basis Function (RBF) algorithm to address the limitations of traditional classroom environments, which often rely on standardized material and fixed teaching methods. This research assesses recent advancements in interactive intelligent education systems by combining Artificial Intelligence (AI) with interactive teaching methods. A model based on cognitive functions is constructed using the RBF algorithm to personalize instructional approaches and foster a self-directed learning platform. The research methodology involves a comprehensive literature review, developing an Education Intelligent System (EIS) using AI-driven cognitive modelling, and the implementation of the RBF algorithm within a neural network architecture. The system's effectiveness is evaluated through empirical methods, including extensive data analysis and continuous refinement based on student performance feedback. Additionally, a network topology model is designed to enhance the system's adaptability for different roles within the educational framework. The results show significant improvements in instructional effectiveness, learner engagement, and personalized learning experiences. This research demonstrates that AI and interactive technologies can revolutionize conventional educational methods, enhance learner proficiency, and cultivate a more dynamic and engaging learning environment. Future work aims to improve the system's user interface and analyze larger datasets to refine the AI algorithms further.

Online Learning Strategy Induction through Partially Observable Markov Decision Process-Based Cognitive Experience Model

Inducing learning strategies is a crucial component of intelligent tutoring systems. Previous research has predominantly focused on the induction of offline learning strategies. Although the existing offline learning strategy induction methods can also be used for real-time updates of learning strategies, their update efficiency is not high, making it difficult to capture the characteristics exhibited by learners during the learning process in a timely manner. With the superior performance of the Partially Observable Markov Decision Process (POMDP), this paper proposes a POMDP-based cognitive experience model, which can be quickly updated during interactions and enables the real-time induction of learning strategies by weighting the learning experiences of different learners. Experimental results demonstrate that the learning strategies induced by PCEM are more personalized and exhibit superior performance.

The relationship between cognitive function and physical activity, functional status and social participation in older adults: a cross-sectional study

Aims: Cognitive function in older adults has been a topic of growing interest in recent years. This study aimed to investigate the relationship between cognitive function and physical activity, functional status, and social participation in older adults. Methods: A cross-sectional study was conducted involving 123 older adults aged 65 years and older who met the study’s inclusion criteria. The inclusion criteria for the study were as follows: who were aged 65 years or older, literate, volunteering to participate in the study, had no hearing or vision defects that prevented the measurement of the scales used in the study, had no chronic disease that prevented the scales used in the study. The data in the study were collected with sociodemographic form, Montreal cognitive assessment, international physical activity questionnaire, timed-up-and-go test, 10-meter walk test, and Keele assessment of participation. Results: The average age of the participants was 69.5±4.6. The study included 46.3% women and, 57.7% primary school graduates. A positive and moderate relationship was found between cognitive functions and physical activity level, functional status, and social participation in older adults. Additionally, there was a moderate positive relationship found between the level of physical activity, functional status, and social participation. In the cognitive function risk model, it was found that age, education level, and social participation significantly impact cognitive functions in older adults. Conclusion: Increasing physical activity, functionality, and especially social participation in older adults can be considered an important intervention to protect and improve the cognitive functions of older adults.

О некоторых аспектах выявления и расследования преступлений, совершенных в отношении половой свободы и неприкосновенности несовершеннолетних

Introduction. The article is devoted to some problematic issues that arise in the practice of investigating crimes committed against sexual freedom and inviolability of minors (rape, sexual violence, lewd acts, sexual intercourse and other acts of sexual nature with a person under the age of sixteen). The criminalistic characteristics of crimes are given, special attention is paid to the characteristics of the offender and the victim, the methods of committing crimes, the mechanism of trace formation. Typical investigative situations that develop at the initial stage are revealed, the specifics of initiating a criminal case and organising an investigation are revealed, criminal and criminal procedure legislation is analysed. Methods. The methodological basis was the system of scientific research methods used, based on the universal dialectical method, the use of which determines the choice of systemic, activity-based, functional and interdisciplinary approaches in the study of the personality of the offender and the victim in cases of crimes against sexual freedom and inviolability of minors and the totality of its properties and qualities as an integral object. In addition, when studying the mechanism of crime and the investigator’s search and cognitive activity, historical, formal-logical, statistical, sociological, comparativelegal, and modeling methods were used. Results. The most problematic aspects of obtaining significant criminalistic information as a result of verbal investigative actions have been identified, recommendations have been developed to overcome possible opposition from suspected defendants, as well as legal representatives of the victim; the legal positions of judicial authorities and law enforcement practice have been analysed; algorithms for the investigator’s actions in identified problematic situations have been formed. The provisions are substantiated that a minor as a subject of criminal proceedings has a number of characteristics of a demographic, socio-role and moral-psychological nature, which determine the peculiarities of perception, memorisation, analysis and reproduction of significant criminalistic information about the act committed against them. The conclusion is reasoned that special attention should be paid to the tactics of interrogation of victims, which is limited by the current criminal procedural requirements and is characterised by short-termism, one-time nature, and the list of participants. The importance of the results of this investigative action is justified by the prevalence of the results of interrogations in the evidence base for this category of crimes, because due to the postponement of the crime from the beginning of the investigation, the search for other traces, as well as the production of experimental and search investigative actions is significantly complicated.

Tryptophan-rich diet and its effects on Htr7+ Tregs in alleviating neuroinflammation and cognitive impairment induced by lipopolysaccharide

BackgroundNeuroinflammation is a vital pathogenic mechanism for neurodegenerative diseases such as Alzheimer’s, schizophrenia, and age-related cognitive decline. Regulatory T cells (Tregs) exhibit potent anti-inflammatory properties and can modulate neurodegenerative diseases arising from central nervous system inflammatory responses. However, the role of Tregs in neuroinflammation-related cognitive dysfunction remains unclear. It is highly plausible that Htr7+ Tregs expressing unique genes associated with the nervous system, including the Htr7 gene encoding the serotonin receptor 5-HT7, play a pivotal role.MethodsMice were given a tryptophan-rich diet (with a tryptophan content of 0.6%) or a normal diet (with a tryptophan content of 0.16%). The neuroinflammation-mediated cognitive dysfunction model was established by intracerebroventricular injection of lipopolysaccharide (LPS) in 8-week-old C57BL/6J mice. The activation and infiltration of Tregs were measured using flow cytometry. Primary Tregs were cocultured separately with primary CD8+ T cells and primary microglia for in vitro validation of the impact of 5-HT and 5-HT7 receptor on Tregs. Prior to their transfer into recombination activating gene 1 (Rag1−/−) mice, Tregs were ex vivo transfected with lentivirus to knock down the expression of Htr7.ResultsIn this study, the tryptophan-rich diet was found to reverse LPS-induced cognitive impairment and reduce the levels of 5-HT in peripheral blood. The tryptophan-rich diet led to increased levels of 5-HT in peripheral blood, which in turn promoted the proliferation and activation of Htr7+ Tregs. Additionally, the tryptophan-rich diet was also shown to attenuate LPS-mediated neuroinflammation by activating Htr7+ Tregs. Furthermore, 5-HT and 5-HT7 receptor were found to enhance the immunosuppressive effect of Tregs on CD8+ T cells and microglia. In Rag1−/− mice, Htr7+ Tregs were shown to alleviate LPS-induced neuroinflammation and cognitive impairment.ConclusionsOur research revealed the ability of Htr7+ Tregs to mitigate neuroinflammation and prevent neuronal damage by suppressing the infiltration of CD8+ T cells into the brain and excessive activation of microglia, thereby ameliorating LPS-induced cognitive impairment. These insights may offer novel therapeutic targets involving Tregs for neuroinflammation and cognitive impairment.

How to go green? Exploring public attention and sentiment towards waste sorting behaviors on Weibo platform: A study based on text co-occurrence networks and deep learning

The attention and sentiment of the public are crucial for better implementation of waste sorting behaviors and moving towards green living. In this study, web scraping technology was used to collect 367,856 Weibo posts related to waste sorting from Sina Weibo. Utilizing text co-occurrence networks, Latent Dirichlet Allocation (LDA) topic modeling, and a deep learning model combining the Affective Cognitive Model (OCC) with Long Short-Term Memory Model (LSTM) (referred to as OCC-LSTM), we comprehensively understand the text at both micro and macro levels, analyzing the attention and sentiment of the public towards waste sorting behaviors on the Sina Weibo platform. Several important findings emerged from the empirical results. First, highly engaging posts were predominantly published by users with a large following, and the number of posts fluctuated over time. This reflects the influence of social hot topics and the timeliness of information dissemination. Second, there was heterogeneity in the user groups and their locations, often influenced by cultural differences due to geographical location. Third, positive sentiment towards waste sorting behavior was higher than negative sentiment on the Weibo platform. Moreover, public attention varied under different emotional influences concerning the topic of waste sorting behavior. The innovation of this study lies in the development of a research framework combining co-occurrence networks and deep learning, expanding the analysis on both micro and macro levels. This framework broadens the research paradigms and dimensions of public perception in waste sorting. This study is significant for promoting waste sorting behaviors and implementing climate policies.

Shopaholism – aetiology, characteristics, models and concepts of cognitive-behavioural therapy

The article addresses the issue of shopaholism as a disorder, examining its existing definitions and functioning diagnostic criteria within the context of its exclusion from official disease classifications, despite its increasing prevalence and negative impact on the lives of individuals. The study highlights that, although not formally recognised as a disease entity, shopaholism is discussed in scientific literature under various terms, such as compulsive buying, impulsive buying, or shopping addiction, and can be considered a form of behavioural addiction. The article emphasises the complex aetiology of shopaholism, suggesting that it results from a combination of biological, cognitive, emotional, and social factors. The authors also demonstrate from a cognitive-behavioural perspective how core beliefs, values, and self-esteem may contribute to the development and persistence of the disorder. In addition, the article discusses therapeutic approaches including pharmacotherapy and, above all, cognitive-behavioural psychotherapy, which is emerging as a key approach in the treatment of shopaholism, with efficacy proven by numerous studies. This therapy aims at cognitive restructuring to modify negative thoughts, improve impulse control, and foster healthier coping strategies to deal with negative emotions. The article explores the complexity of shopping addiction, drawing on both historical and contemporary cognitive models to conceptualise individual cases and develop effective therapeutic plans. It also highlights proven techniques and methods. By adopting a cognitive-behavioural perspective, mental health professionals can provide patients with a targeted and personalised treatment. From the perspective of treatment, the key challenge is not abstinence but working with beliefs and values, as well as cognitive and behavioural techniques.

Obsessive-compulsive disorder from a cognitive-behavioural point of view

The prevalence of obsessive-compulsive disorder in the adult population is estimated at about 2–3%, while in children the prevalence of this disorder is higher, and it is considered to be one of the most common neuropsychiatric diseases in paediatric populations. Symptoms from the obsessive-compulsive disorder spectrum can vary in severity or occur with varying frequency. In severe cases, they are time-consuming and disorganise functioning, causing psychological stress not only to patients but often to those around them. The level of insight differentiates individuals with obsessive-compulsive disorder, affecting the course of treatment. Low insight often accompanies poor susceptibility to pharmacotherapeutic and psychotherapeutic interactions, while high levels of criticism may inhibit the motivation to seek help, out of fear of social judgement. Obsessive-compulsive disorder deserves the attention of clinicians because, without appropriate treatment, the disorder can take a chronic form, often becoming a trigger for depression, social phobia, or addiction. American data show that 90% of respondents meeting the criteria for obsessive-compulsive disorder also suffer from another Axis I disorder. Cognitive-behavioural therapy is a method with proven effectiveness in the treatment of Axis I disorders, including obsessive-compulsive disorder. The first goal of this paper is to present cognitive models of obsessive-compulsive disorder that will allow clinicians to understand the nature of this condition. The second goal is to describe the possibilities and tools used in cognitive-behavioural psychotherapy of patients.

Evaluation of Clinical Education Based on Cognitive Apprenticeship Model Using Maastricht Clinical Education Questionnaire

Introduction: One of the main aspects of medical students is clinical education. The cognitive apprenticeship model is one of the principles of clinical education and contains six dimensions, including modeling, coaching, scaffolding, articulation, reflection, and exploration. This research aimed to evaluate the clinical education at Kerman University of Medical Sciences based on the cognitive apprenticeship model in 2021. Method: In this descriptive-analytical cross-sectional research, the Maastricht Clinical Education Questionnaire was separated among 150 students, and with a response rate of 74%, 112 of them completed this. Results: In the evaluation of the clinical education at Kerman University of Medical Sciences, the score of the articulation domain was higher than others, and the lowest score was given to the reflection domain. Clinical education in the internal medicine department was the most consistent with the cognitive apprenticeship model. Conclusion: Identifying the strengths and weaknesses of clinical education is the first step toward improving the quality of medical education. In the subsequent steps, the practitioners and planners of the faculty member empowerment programs should design, implement, and evaluate educational empowerment programs for clinical faculty members to improve their academic skills in the clinical education environment.

The “less is better” paradox and consumer behaviour: a systematic review of choice overload and its marketing implications

Purpose This study, a systematic literature review, aims to review the state-of-the-art literature on choice overload from 2000 to 2023. Design/methodology/approach The paper reviews 53 research articles published in peer-reviewed journals, using thematic and descriptive analyses. The literature was selected using the PRISMA framework. Findings Recent research in consumer behaviour has found that too many choices can be detrimental to decision-making. This paper reviews the development of choice overload literature, methodologies used by researchers to study choice overload, small and large choice sets, antecedents, moderators and outcomes of choice overload and the contexts in which choice overload exists. Research limitations/implications Limited literature coverage because of the strict adherence to inclusion/exclusion criteria. The theory challenges the conventional choice models in psychology and economics according to which expanding a choice set cannot make decision-making worse and violates the regularity axiom, a cornerstone of classical choice theory. This review also identifies avenues for further research in the field. Practical implications A significant decrease in satisfaction or motivation because of too many choices would require marketers and public policymakers to rethink their practice of providing ever-increasing assortments to choose from because they could possibly boost their success by offering less. Originality/value This systematic review makes distinctive contributions by classifying the existing studies based on evidence “for” and “against” the existence of choice overload. The review also combines cross-context insights on assortment sizes, moderators and methodological commonalities and gaps to understand the multi-faceted nature and contextual nuances of choice overload.

Health enhancing behaviors in early adolescence: an investigation of nutrition, sleep, physical activity, mindfulness and social connectedness and their association with psychological distress and wellbeing.

Nutrition, sleep and physical activity are termed the "big three" health enhancing behaviors (HEB) associated with psychological distress and wellbeing. This study sought to understand differential associations between an expanded group of HEB (nutrition, sleep, physical activity, mindfulness, social connectedness) and psychological distress/wellbeing in early adolescents. Correlational and regression analyses were conducted in N=103 (51% females) adolescents (12.6 ± 0.3 years of age) recruited from the Longitudinal Adolescent Brain Study. Higher scores on sleep, social connectedness and mindfulness scales were significantly associated with lower psychological distress scores. While higher scores on social connectedness and mindfulness scales were significantly associated with higher wellbeing scores. When adjusting for sex, nutrition, sleep, social connectedness and mindfulness accounted for a significant proportion of variance in the psychological distress model whereas physical activity and social connectedness accounted for a significant proportion of the variance in the wellbeing model. Overall findings make a strong case for expansion of the "big three" HEB to include mindfulness and social connectedness, especially given social connectedness emerged as the strongest predictor of both psychological distress and wellbeing. In addition, this research suggests that early adolescent nutrition, sleep quality, and mindfulness should be prioritized in efforts to reduce risk of difficulties, and physical activity prioritized as a protective factor for wellbeing in this population. Findings have implications for interventions, emphasizing the importance of addressing HEB factors comprehensively and tailoring strategies to the unique needs of early adolescents to foster positive mental health outcomes.

Language models outperform cloze predictability in a cognitive model of reading.

Although word predictability is commonly considered an important factor in reading, sophisticated accounts of predictability in theories of reading are lacking. Computational models of reading traditionally use cloze norming as a proxy of word predictability, but what cloze norms precisely capture remains unclear. This study investigates whether large language models (LLMs) can fill this gap. Contextual predictions are implemented via a novel parallel-graded mechanism, where all predicted words at a given position are pre-activated as a function of contextual certainty, which varies dynamically as text processing unfolds. Through reading simulations with OB1-reader, a cognitive model of word recognition and eye-movement control in reading, we compare the model's fit to eye-movement data when using predictability values derived from a cloze task against those derived from LLMs (GPT-2 and LLaMA). Root Mean Square Error between simulated and human eye movements indicates that LLM predictability provides a better fit than cloze. This is the first study to use LLMs to augment a cognitive model of reading with higher-order language processing while proposing a mechanism on the interplay between word predictability and eye movements.

A seafarers’ cognitive error mining model based on IDA and TRACEr and mitigation measures for ship collision accidents

Human factor is the main cause of maritime accidents. However, the in-depth study on the mechanism of cognitive errors in seafarers’ human error needs to be supplemented. This study empirically analyzes 116 collision cargo ships along the Yangtze River trunk line. To explore the relationship between seafarers’ task errors and the cognitive process of accidents, a seafarers’ cognitive error mining model is proposed, which integrates the Information, Decision, and Action (IDA) cognitive model into the Technique for the Retrospective and Predictive Analysis of Cognitive Errors (TRACEr). According to the approach of mining from the outside to the inside, firstly, the error mode in the cognitive stage of seafarer tasks are identified. Then the fine-grained main manifestation of the task errors is mined by K-means, and Apriori algorithm is employed to mine the hidden features between the external and internal error modes. The results show that there are four main problems of Yangtze River ship accidents, and seafarers have four to seven corresponding causal chains from psychological error mechanism to performance shaping factors for each major issue in the cognitive stage. On the basis of the results, this study summarizes the guiding principles of accident prevention and seafarer management measures to provide decision support for water traffic safety.

Temporal integration in human auditory cortex is predominantly yoked to absolute time, not structure duration.

Sound structures such as phonemes and words have highly variable durations. Thus, there is a fundamental difference between integrating across absolute time (e.g., 100 ms) vs. sound structure (e.g., phonemes). Auditory and cognitive models have traditionally cast neural integration in terms of time and structure, respectively, but the extent to which cortical computations reflect time or structure remains unknown. To answer this question, we rescaled the duration of all speech structures using time stretching/compression and measured integration windows in the human auditory cortex using a new experimental/computational method applied to spatiotemporally precise intracranial recordings. We observed significantly longer integration windows for stretched speech, but this lengthening was very small (~5%) relative to the change in structure durations, even in non-primary regions strongly implicated in speech-specific processing. These findings demonstrate that time-yoked computations dominate throughout the human auditory cortex, placing important constraints on neurocomputational models of structure processing.

Generalized two-point visual control model of human steering for accurate state estimation

Abstract We derive and validate a generalization of the two-point visual control model, an accepted cognitive science model for human steering behavior. The generalized model is needed as current steering models are either insufficiently accurate or too complex for online state estimation. We demonstrate that the generalized model replicates specific human steering behavior with high precision (85% reduction in modeling error) and integrate this model into a human-as-advisor framework where human steering inputs are used for state estimation. As a benchmark study, we use this framework to decipher ambiguous lane markings represented by biased lateral position measurements. We demonstrate that, with the generalized model, the state estimator can accurately estimate the true vehicle state, providing lateral state estimates with under 0.15 m error across participants. However, without the generalized model, the estimator cannot accurately estimate the vehicle's lateral state.

Феномен релокации (Модели экономического поведения российских мигрантов после февраля 2022 г.)

The events of February 2022 became the starting point of a new wave of Russian emigration. On the one hand, this phenomenon can be considered within a series of previous migration waves, on the other hand, the modern context leaves its imprint on the current migration process, making it very special from the economic and sociocultural perspectives. The article presents an attempt to analyze this specificity with an emphasis on the characteristics of the economic behavior of emigrants. Empirically, the study is based on a series of in-depth interviews with people who left Russia after February 2022. On the basis of these interviews, the authors built idealized cognitive models of possible options for the economic behavior of migrants. The authors considered a total of four models: relocation, which involves searching for a job in the host country; relocation, which involves remote work for a Russian company; relocation, which involves creating or moving one’s own business; relocation to a branch of a Russian company. Since the economic strategies of migrants are influenced by signals broadcast by the Russian government structures, the article analyzed the statements of representatives of these structures using the method of network cognitive mapping, which made it possible to reveal two types of official discourse in relation to those who left Russia, which differed in the extent of their criticism towards them. In general, the study showed that migrants of the latest wave are internally heterogeneous and fall into several groups that differ markedly in their motivation and patterns of economic behavior. At the same time, a significant part of them continues to cooperate with Russia in one way or another and, in principle, is ready to return to Russia. For them, migration is driven largely by security and/or economic reasons. Only a minority of emigrants left the country due to their disagreement with the current political course and consider the possibility of coming back only if the political course changes radically.

Family Concept Representation in English and Chinese Media: A Cognitive Matrix Modelling Approach

This article examines the representation of the FAMILY concept in English and Chinese newspapers. The research material was gathered from ten information sources and included 200 news articles, selected through continuous sampling using the keyword FAMILY / 家庭. The articles were analyzed to identify relevant issues and categorized based on their thematic content. In each article, key content elements—words and phrases that carry significant semantic meaning—were identified and used for cognitive matrix modeling. The findings reveal cognitive asymmetry in how the FAMILY concept is portrayed in English and Chinese media. In English-language media, the concept is centered on fundamental semantic components that form the cognitive core of the FAMILY concept, such as family members and their relationships. The representation also extends to areas like family activities, children, finances, employment, family pets, and legal issues. In contrast, Chinese media emphasizes the government’s role in educating the younger generation on family behavior, fostering a new generation of families that adhere to the country’s ethical norms, traditional cultural values, and moral standards. The central aspect of the FAMILY concept in Chinese media is the significant governmental support and societal focus on family needs and moral education, with family being viewed within the broader context of societal relations. The observed asymmetry is attributed to cultural, economic, social, and political differences. In capital-oriented social systems, the family is seen as an independent unit capable of self-sufficiency without substantial government intervention. This study is particularly relevant for understanding the role of professional discourse in shaping public perceptions of family across different cultures, highlighting how media narratives reflect and influence broader societal values and professional communication practices.