Conceptual Representation Research Articles

A look at speech therapy for learners with behavioral disorders

Introduction: Socially, it is frequent to find dissimilar behavioral disorders and language alterations that show the dimension of further deepening in the subject to be treated, due to its importance for pedagogical sciences and public health, in a joint effort between both sectors, in order to raise the quality of services from the speech therapy care and achieve an integral citizen in tune with the current demands of society. Methods: Theoretical elements that support the existence of the problem approached from the pedagogical sciences and its possible ways of solution were determined. For this reason, the scientific problem is posed as: how to correct and compensate the alterations of language associated with behavioral disorders from the logopedic care; as objective: to correct and compensate the alterations of language associated with behavioral disorders from the logopedic care, paying great interest in the existing relationship between language and behavior, language is the most important means and instrument of socialization as a social being. Results: Language is an essential tool in the human relationship and its complexity in terms of categorization, representation of concepts, and construction of meanings. Speech therapy should have a comprehensive and interdisciplinary approach to address behavioral and language disorders in learners. Conclusion: Speech therapy is effective in correcting language disorders in learners with behavioral disorders, impacting their cognitive and emotional development, involving families and improving educational practice.

SIMULATION MODEL OF A QS WITH HYPEREXPONENTIAL DISTRIBUTION IN THE GPSS WORLD ENVIRONMENT

This article presents results obtained on the development of a pseudo-random sequence generator for simulation modeling of queueing system (QS) with second-order hyperexponential input distribution. In the scientific literature on GPSS WORLD, including web resources, the authors did not find any data in this subject area. The GPSS WORLD library includes many generators of various distribution laws, but there are no generators for such important composite distributions according to the queuing theory. It is known that the hyperexponential distribution concept provides a wide range of changes in the random variable variation coefficient from unity to an arbitrarily large value. Due to the fact that the variation coefficients of arrival and service intervals play an important role in estimating the delay of queue claims in queuing systems, thus this distribution concept plays a special role in modeling of QS. For a hyperexponential distribution of the second order, the authors previously obtained numerical-analytical results based on the Lindley integral equation spectral solution method. The article describes a developed algorythm and a program on GPSS WORLD to simulate the functioning of QS with hyperexponential input distribution incl. description of operation of logical switches. The difference between analytical and simulation modeling of the two-phase representation of a given distribution concept is explained on the example of the developed model. The adequacy of the obtained results was confirmed by comparing the simulation results with the results of numerical simulation in the Mathcad environment.

Misconceptions for concepts in sciences in Charles Perrault’s fairy tales

This study examines the accuracy of the content of Charles Perrault’s fairy tales in terms of sciences. Qualitative content analysis was used to analyze seven fairy tales. The texts were examined to identify and record the scientific mistakes and inaccuracies and the alternative ideas they may create in children. Errors and inaccuracies were organized into a four-category system. The results provide teachers with incorrect representations of physical concepts and phenomena in fairy tales. Finally, proposals are presented for utilizing these books in teaching sciences.

The Concept and Models of Representation

The model of representation is a theoretical framework that delineates the manner in which elected officials or political representatives are anticipated to advocate for the interests, desires, and necessities of their constituents. This study elucidates various models of representation, each presenting distinct viewpoints on the functioning of this representation. Several prominent models of representation in politics include the trustee, delegate, partisan, and political representatives. The findings indicate that there are several elements that pose challenges to the functioning of representative government. These problems include defection, corruption, and the absence of clear ideological frameworks within political parties. The study concludes by offering recommendations for increasing representative governance through practical means, including the participation of all individuals, the promotion of political equality, and the cultivation of a sense of political responsibility.

Contribution and functional connectivity between cerebrum and cerebellum on sub-lexical and lexical-semantic processing of verbs.

Language comprehension involves both sub-lexical (e.g., phonological) and lexical-semantic processing. We conducted a task using functional magnetic resonance imaging (fMRI) to compare the processing of verbs in these two domains. Additionally, we examined the representation of concrete-motor and abstract-non-motor concepts by including two semantic categories of verbs: motor and mental. The findings indicate that sub-lexical processing during the reading of pseudo-verbs primarily involves the left dorsal stream of the perisylvian network, while lexical-semantic representation during the reading of verbs predominantly engages the ventral stream. According to the embodied or grounded cognition approach, modality-specific mechanisms (such as sensory-motor systems) and the well-established multimodal left perisylvian network contribute to the semantic representation of both concrete and abstract verbs. Our study identified the visual system as a preferential modality-specific system for abstract-mental verbs, which exhibited functional connectivity with the right crus I/lobule VI of the cerebellum. Taken together, these results confirm the dissociation between sub-lexical and lexical-semantic processing and provide neurobiological evidence of functional coupling between specific visual modality regions and the right cerebellum, forming a network that supports the semantic representation of abstract concepts. Further, the results shed light on the underlying mechanisms of semantic processing and contribute to our understanding of how the brain processes abstract concepts.

Non-Local SAR Image Despeckling Based on Sparse Representation

Speckle noise is an inherent problem of synthetic aperture radar (SAR) images, which not only seriously affects the acquisition of SAR image information, but also greatly reduces the efficiency of image segmentation and feature classification. Therefore, research on how to effectively suppress speckle noise while preserving SAR image content information as much as possible has received increasing attention. Based on the non-local idea of SAR image block-matching three-dimensional (SAR-BM3D) algorithm and the concept of sparse representation, a novel SAR image despeckling algorithm is proposed. The new algorithm uses K-means singular value decomposition (K-SVD) to learn the dictionary to distinguish valid information and speckle noise and constructs a block filter based on K-SVD for despeckling, so as to avoid strong point diffusion problem in SAR-BM3D and achieve better speckle noise suppression with stronger adaptability. The experimental results on real SAR images show that the proposed algorithm achieves better comprehensive effect of speckle noise suppression in terms of evaluation indicators and information preservation of SAR images compared with several existing algorithms.

A Mobile Augmented Reality App for Creating, Controlling, Recommending Automations in Smart Homes

Automations in the context of smart homes have been adopted more and more frequently; thus, users should be able to control them and create automations most suitable to their needs. Current solutions for this purpose are based on visual apps with conceptual representations of possible automation elements. However, they tend to be static, abstract, and detached from the user's real context. In this paper, we propose a novel solution based on mobile augmented reality, which provides situated, dynamic representations associated with the physical objects available in the current users' context while they are freely moving about. It allows direct interaction with the objects of interest, monitoring nearby objects' automations while moving, and creating new automations or modifying existing ones. It also supports users with recommendations of object and service configurations relevant to complete the editing of the new automations. The paper also reports on a user test, which provided positive feedback.

Die Ambiguität von begrifflichen und gegenständlichen Merkmalen in der theoretischen Philosophie Kants

Abstract This paper deals with the concept of ‘mark’ (or character, in German Merkmal) in Kant’s theoretical philosophy. It examines the question of what marks are for Kant: Are they marks of things or of our thinking? Are they ontic object marks or conceptual marks? Are marks ontological or logical in nature? We will see that in Kant’s philosophy, as well as in the thought of his rationalist predecessors, the concept of the mark is embedded in a peculiar ambiguity in that it stands for both objective qualities and conceptual representations. – In a first step we will trace the ambiguity of the mark in Kant’s predecessors and contemporaries (especially in Meier, Wolff and Leibniz). In a second step, we will show that Kant retains the aforementioned ambiguity in terms of wording but overcomes it in terms of content.

Is time an embodied property of concepts?

A haircut usually lasts under an hour. But how long does it take to recognize that something is an instance of a haircut? And is this "time-to-perceive" a part of the representation of concepts like haircut? Across three experiments testing lexical decision, word recognition, and semantic decision, we show that the amount of time people say it takes to perceive a concept in the world (e.g., haircut, dandelion, or merit) predicts how long it takes for them to respond to a word referring to that thing, over and above the effects of other lexical-semantic variables (e.g., word frequency, concreteness) and other variables related to conceptual complexity (e.g., how confusable a concept is with other, similar concepts, or the diversity of the contexts in which a concept appears). These results suggest that our experience of how long it takes to recognize an instance of a concept can become a part of its representation, and that we simulate this information when reading words. Consequently, we suggest that time may be an embodied property of concepts.

Prediction of fracture evolution in the TiN/Al thin films based on a full-field modelling approach

The classical approach to fracture simulation in a thin film for bioengineering applications neglects the underlying complex morphology of the deposited layer, leading to inaccurate numerical predictions. That may carry high risks during product development and its further exploitation, especially in biomedical applications. Therefore, here, we demonstrate the new approach to numerical investigation of the fracture evolution in pulsed laser-deposited (PLD) titanium nitride (TiN) thin films under loading conditions based on the full-field model of layer columnar morphology. We use the TiN film deposited on the aluminium (Al) substrate as a case study. Based on the nanoindentation test, we first determine the flow stress characteristics of the Al substrate and TiN/Al structure. An inverse analysis technique allowed us to precisely recalculate measured load–displacement values into the required stress–strain curve. Then, we developed a full-field model based on the digital material representation (DMR) concept for further investigation. The DMR was generated to replicate major morphological features of the deposited thin film identified under transmission electron microscop (TEM). Finally, we incorporated the TiN/Al full-field model into the finite element analysis with a cohesive zone approach for local analysis of fracture behaviour. Inverse analysis based on the developed direct model and experimental measurements allowed us to identify the parameters of the fracture model. As a result, we proved that the full-field model based on the digital material representation concept could be used for reliable predictions of local fracture development along the morphological features of the deposited thin film.

Quantum Differential Privacy: An Information Theory Perspective

Differential privacy has been an exceptionally successful concept when it comes to providing provable security guarantees for classical computations. More recently, the concept was generalized to quantum computations. While classical computations are essentially noiseless and differential privacy is often achieved by artificially adding noise, near-term quantum computers are inherently noisy and it was observed that this leads to natural differential privacy as a feature. In this work we discuss quantum differential privacy in an information theoretic framework by casting it as a quantum divergence. A main advantage of this approach is that differential privacy becomes a property solely based on the output states of the computation, without the need to check it for every measurement. This leads to simpler proofs and generalized statements of its properties as well as several new bounds for both, general and specific, noise models. In particular, these include common representations of quantum circuits and quantum machine learning concepts. Here, we focus on the difference in the amount of noise required to achieve certain levels of differential privacy versus the amount that would make any computation useless. Finally, we also generalize the classical concepts of local differential privacy, Rényi differential privacy and the hypothesis testing interpretation to the quantum setting, providing several new properties and insights.

Analysis of supervisor’s written feedback addressing pre-service science teachers’ pedagogical content knowledge during teaching practice

The feedback received during teaching practice (TP) has a lasting impact on pre-service teachers’ teaching knowledge and practice among the learning experiences of the teacher education program. This study analyzed written feedbacks offered by supervisors to pre-service science teachers (PSTs) (biology, chemistry, physics, health education, and mathematics) during TP observation generally, but with particular attention to those addressing pedagogical content knowledge (PCK). The study adopted a phenomenological design of qualitative research and written feedback in 40 PSTs’ lesson notes were analyzed using deductive thematic analysis. Apart from the few written feedback related to PCK, some were not specifying the teaching knowledge or practice they intend to correct or affirm. Majority of the written feedback addressed general pedagogical knowledge. The written feedback related to PCK was more generic to the science discipline than topic-specific. Conceptual teaching strategies and representation were the components of PCK addressed in the feedback. Based on the findings, it was recommended that the college supervisor should avoid offering feedback that specifies no direction of improvement during the supervision of PSTs during practicum.

Research on Mathematical Resilience: A Literature Review

This systematic review has the objective to define the concept and to analyze the empirical studies of mathematical resilience through the following procedures: 1) developing a research question; 2) defining selection criteria; 3) developing the search strategy; 4) study selection process; 5) appraising the quality of studies; and 6) synthesis result. 19 articles were selected and reviewed in total. This study shown the concept representation and also insight of empirical studies about mathematical resilience.

Impact of olfactory priming on mental representations of food concepts and subsequent food choice

Impact of olfactory priming on mental representations of food concepts and subsequent food choice

FIELD WORK: ETNOGRAFI DAN ETNOGRAFI DIGITAL

The presence of digital platforms increasingly permeates contemporary everyday culture, necessitating a re-evaluation of observational studies on social and cultural phenomena. Traditional qualitative research methods that rely on physical locations face challenges in the era of digital platforms. This article aims to explain the use of ethnography and digital ethnography in fieldwork, combining classic ethnographic methods with participant observations in locations where digital platforms are utilized. Technical exploration can uncover social and cultural assumptions embedded in interactions and interviews, as well as how their accessibility can create symbolic meanings. Meanwhile, participant observation focuses on the perspectives of digital platform users within a community. Referring to pioneering works in the field of "digital ethnography," this article critically explores the potential and challenges posed by new technologies that warrant attention. It can be concluded that a balanced combination of physical and digital ethnography not only provides researchers with diverse and intriguing methods but also allows for a better appreciation of respondents' voices. The development of digital ethnography as a research methodology, along with the challenges encountered in addressing classical concepts of fieldwork, participation, and representation, creates opportunities for digital ethnographers to gain professional recognition in conducting research related to society and culture.

Representasi Budaya Jepang dalam Ryokan pada Anime Hanasaku Iroha

This research is titled "Representation of Japanese Culture on Ryokan in the Hanasaku Iroha Anime". This study aims to determine the characteristics of the ryokan depicted in the Hanasaku Iroha anime and the representation of Japanese culture in the ryokan. The data was collected using the observation method, analyzing the data using the descriptive method, and presenting the data analysis using the informal method. The theory used is the Theory of Anthropology and the Semiotic Theory of Roland Barthes. Based on the research results, it is known that the depiction of the ryokan in the Hanasaku Iroha anime is divided into the location of the ryokan and the food facilities in the ryokan. Most of the ryokan are built near the onsen with the aim of allowing guests to enjoy the onsen with the natural heat of the mountains, but it is possible that ryokan are also built in urban areas. The food facilities in the ryokan are kaiseki ryori as Japanese specialties which are one of the attractions for guests to stay. In the cultural representation of the ryokan, there are three cultural concepts found in the data. The first is the concept of uchi-soto which is seen from the genkan area with guests as soto and staff as uchi so that when entering the ryokan, guests have entered the uchi area of ??the ryokan. Second, the representation of the wabi-sabi concept can be seen from the ryokan garden focuses on imperfection and simplicity. Finally, the embodiment of the wa and ma concepts is depicted from the washitsu room which emphasizes harmony and empty space.

Factors in cognitive processing of Japanese loanwords by advanced Chinese Japanese-as-a-foreign-language learners.

Previous studies have highlighted the challenges faced by Chinese Japanese-as-a-foreign-language (JFL) learners (whose L2 is English) in acquiring L3 Japanese loanwords. These challenges arise from the linguistic characteristics of loanwords and the limited emphasis on teaching and learning them. However, there is a lack of research on the specific factors that influence the processing of Japanese loanwords among Chinese JFL learners. Significant motivation exists, therefore, to investigate these influencing factors as they provide valuable insight into the integration of phonographic and ideographic language systems, ultimately facilitating future lexical acquisition. In this study, an experiment was conducted on 31 Chinese JFL learners to investigate the effects of loanword familiarity, English vocabulary proficiency, English-Japanese phonological similarity, and context on the processing of Japanese loanwords. Data analysis, using a (generalized) linear mixed-effect model, provided the following insights: (1) the processing of Japanese loanwords is influenced by English-Japanese phonological similarity, loanword familiarity, context, and learner English proficiency. Among these four factors, familiarity has the most significant impact on Japanese loanword processing; (2) the effects of context and phonological similarity on the processing of Japanese loanwords are not consistently positive. As learners improve their proficiency in L3 Japanese, they tend to decrease their reliance on English knowledge and instead access loanword representations directly to conceptual representations. Based on the findings of this study, a processing model for Japanese loanwords among advanced Chinese JFL learners is proposed. The model emphasizes the critical importance of the characteristics of loanwords, including phonological similarity and familiarity. It is necessary to determine the specific circumstances in which context considerably enhances learner processing ability.

Conceptual representations in the default, control and attention networks are task-dependent and cross-modal

Conceptual knowledge is central to human cognition. Neuroimaging studies suggest that conceptual processing involves modality-specific and multimodal brain regions in a task-dependent fashion. However, it remains unclear (1) to what extent conceptual feature representations are also modulated by the task, (2) whether conceptual representations in multimodal regions are indeed cross-modal, and (3) how the conceptual system relates to the large-scale functional brain networks. To address these issues, we conducted multivariate pattern analyses on fMRI data. 40 participants performed three tasks—lexical decision, sound judgment, and action judgment—on written words. We found that (1) conceptual feature representations are strongly modulated by the task, (2) conceptual representations in several multimodal regions are cross-modal, and (3) conceptual feature retrieval involves the default, frontoparietal control, and dorsal attention networks. Conceptual representations in these large-scale networks are task-dependent and cross-modal. Our findings support theories that assume conceptual processing to rely on a flexible, multi-level architecture.

Potential cognitive and neural benefits of a computerised cognitive training programme based on Structure Learning in healthy adults: study protocol for a randomised controlled trial

BackgroundCognitive flexibility refers to the capacity to shift between conceptual representations particularly in response to changes in instruction and feedback. It enables individuals to swiftly adapt to changes in their environment and has significant implications for learning. The present study focuses on investigating changes in cognitive flexibility following an intervention programme—Structure Learning training.MethodsParticipants are pseudo-randomised to either the Training or Control group, while matched on age, sex, intelligence and cognitive flexibility performance. In the Training group, participants undergo around 2 weeks of training (at least 13 sessions) on Structure Learning. In the Control group, participants do not have to undergo any training and are never exposed to the Structure Learning task. The effects of Structure Learning training are investigated at both the behavioural and neural level. We measured covariates that can influence an individual’s training performance before the training phase and outcome measures that can potentially show training benefits after the training phase. At the behavioural level, we investigated outcomes in both cognitive and social aspects with a primary focus on executive functions. At the neural level, we employed a multimodality approach and investigated potential changes to functional connectivity patterns, neurometabolite concentration in the frontal brain regions, and brain microstructure and myelination. DiscussionWe reported the development of a novel training programme based on Structure Learning that aims to hone a general learning ability to potentially achieve extensive transfer benefits across various cognitive constructs. Potential transfer benefits can be exhibited through better performance in outcome measures between Training and Control participants, and positive associations between training performance and outcomes after the training in Training participants. Moreover, we attempt to substantiate behavioural findings with evidence of neural changes across different imaging modalities by the Structure Learning training. Trial registrationNational Institutes of Health U.S. National Library of Medicine ClinicalTrials.gov NCT05611788. Registered on 7 November 2022. Protocol version: 11 May 2023.

Coastal Polynyas Enable Transitions Between High and Low West Antarctic Ice Shelf Melt Rates

AbstractMelt rates of West Antarctic ice shelves in the Amundsen Sea track large decadal variations in the volume of warm water at their outlets. This variability is generally attributed to wind‐driven variations in warm water transport toward ice shelves. Inspired by conceptual representations of the global overturning circulation, we introduce a simple model for the evolution of the thermocline, which caps the warm water layer at the ice‐shelf front. This model demonstrates that interannual variations in coastal polynya buoyancy forcing can generate large decadal‐scale thermocline depth variations, even when the supply of warm water from the shelf‐break is fixed. The modeled variability involves transitions between bistable high and low melt regimes, enabled by feedbacks between basal melt rates and ice front stratification strength. Our simple model captures observed variations in near‐coast thermocline depth and stratification strength, and poses an alternative mechanism for warm water volume changes to wind‐driven theories.