Human Cognition Research Articles

Modalization and Transcendence of Health in the Coming Decade: Emphasizing the Human Cognitive System in the Stories of Prophets in the Holy Quran.

In this study, the progression and importance of health knowledge is explored, projecting its future path. We do this by comparing the stages of evolution of the human cognitive system from birth to old age (inner intellect) with the stages of intellectual modalization in divine messengers (external intellect), as depicted in the stories of the prophets in the Holy Quran. This comparison aims to articulate the course of evolution, which includes sensory perception, apprehension, imaginalization, intellection, and intuition. Future medicine will consider the influence of spiritual factors (soul) in the form of human cognition and intention, as well as material effects (genes and biology). The seven medical domains of the future will encompass the field of 'sprito-epigenetico psycho-neuro-endocrino-immuno-pharmacology'. This perspective emphasizes the need for a transcendent outlook in health and medicine. This study employed a library research method, including studies in medical journals from the last forty years.

A comparative analysis of the usage of Greek and Russian proverbs in everyday communication

The purpose of the research is to determine the linguistic status of proverbs and sayings in everyday speech of Greek and Russian native speakers. The results highlighted that both Greek and Russian speakers are well acquainted with a large number of proverbs and sayings (more than 50), but rarely use them in everyday life. Everyday paremiology is passed down from generation to generation and plays a key role in preserving cultural heritage and shaping the spiritual and moral image of society. The research also underlines the purpose behind the usage proverbs and sayings in everyday communication. It was concluded that most Greek speakers use proverbs and sayings to make information more understandable and convincing. At the same time, most Russian speakers use proverbs and sayings to express irony and relieve tension in communication. Thus, the purposes of using proverbs and sayings in everyday speech among these two nations are different. To conduct the study, the methods of sociological survey and comparative analysis were used. The scientific novelty of the research lies in the fact that the frequency of use of proverbs and sayings was determined, which reflects the characteristics of the speakers’ national identity. The practical results the research help to better understand the cultural characteristics of Greek and Russian native speakers, which helps improve the quality of intercultural communication. The above pilot data helped us to recognize the fact that the understanding and interpretation of proverbs indicate the way metaphor is used in everyday communication. Proverbs and sayings exemplify how humans use language to convey complex ideas and values through metaphorical structures. They help not only to communicate, but also to understand the world through the prism of culture and language, which is an important aspect of human thinking and cognitive abilities.

Early‐life and chronic exposure to high‐fat diet alters noradrenergic and glutamatergic neurotransmission in the male rat amygdala and hippocampus under cognitive challenges

AbstractChildhood obesity increases the risk of health and cognitive disorders in adulthood. Consuming high‐fat diets (HFD) during critical neurodevelopmental periods, like childhood, impairs cognition and memory in humans and animals, affecting the function and connectivity of brain structures related to emotional memory. However, the underlying mechanisms of such phenomena need to be better understood. This study aimed to investigate the neurochemical profile of the amygdala and hippocampus, brain structures involved in emotional memory, during the acquisition of conditioned odor aversion in male rats that consumed a HFD from weaning to adulthood. The rats gained weight, experienced metabolic changes, and reduced insulin sensitivity and glucose tolerance. Rats showed enhanced odor aversion memory, contrary to the expected cognitive impairments. This memory enhancement was accompanied by increased noradrenergic and glutamatergic neurotransmission in the amygdala and hippocampus. Importantly, this upregulation was specific to stimuli exposure, as basal neurotransmitter levels remained unaltered by the HFD. Our results suggest that HFD modifies cognitive function by altering neurochemical signaling, in this case, upregulating neurotransmitter levels rendering a stronger memory trace, demonstrating that metabolic dysfunctions do not only trigger exclusively detrimental plasticity processes but also render enhanced plastic effects depending on the type of information.

Advancing machine learning for identifying cardiovascular disease via granular computing

<p>Machine learning in cardiovascular disease has broad applications in healthcare, automatically identifying hidden patterns in vast data without human intervention. Early-stage cardiovascular illness can benefit from machine learning models in drug selection. The integration of granular computing, specifically z-numbers, with machine learning algorithms, is suggested for cardiovascular disease identification. Granular computing enables handling unpredictable and imprecise situations, akin to human cognitive abilities. Machine learning algorithms such as Naïve Bayes, K-Nearest Neighbor (KNN), Random Forest, and Gradient Boosting are commonly used in constructing these models. Experimental findings indicate that incorporating granular computing into machine learning models enhances the ability to represent uncertainty and improves accuracy in cardiovascular disease detection.</p>

Climate Change Awareness and Its Effects on Cognitive and Functional Abilities and Behavioral Responses: A Review of Literature

Climate change awareness has been identified as a critical factor influencing various aspects of human cognition, functional capabilities, and behavioral engagement. This literature review explores the intersection of climate change awareness with cognitive and functional impairments, and how these factors collectively influence behavioral responses. Studies suggest that heightened awareness of climate change can lead to increased cognitive load, potentially exacerbating cognitive impairments, particularly in older adults and individuals with pre-existing cognitive deficits. Functional impairments, such as reduced physical mobility and mental health issues, have also been linked to the stress and anxiety associated with climate change awareness. Furthermore, the relationship between awareness and behavior is complex; while awareness can lead to proactive environmental behaviors, it can also result in maladaptive responses like eco-anxiety and climate inaction due to perceived helplessness. This review synthesizes current research to highlight the multifaceted impacts of climate change awareness and underscores the need for targeted interventions to support cognitive and functional health while promoting positive behavioral engagement.

THE TERM "CONCEPT" AS A BASIC CONCEPT OF COGNITIVE SEMANTICS

Today, there is much debate over the term cognitive linguistics, and there is no agreement on what exactly the term means. According to English linguists, cognitive linguistics is a branch of linguisticsIn cognitive semantics, the term "concept" refers to a mental representation of a category that encompasses a set of related objects, events, or ideas. Concepts are fundamental to human cognition and language understanding. Cognitive semantics emphasizes that the meaning of words and expressions is grounded in conceptual structures, which are shaped by our sensory-motor experiences and cultural context.

A motor task, not working memory, causes the revelation effect.

Performing a cognitive task prior to making a recognition judgment increases the probability of old responses, which is known as the revelation effect. The criterion shift account (Niewiadomski & Hockley, 2001) proposes that occupation of working memory causes the revelation effect. However, we proposed that working memory does not cause it. Two experiments were conducted to disconfirm the relationship between working memory and the revelation effect and to consider an alternative explanation that metacognition causes the effect. In Experiment 1, the revelation effect was caused by a finger movement task, which puts little or no load on working memory. In Experiment 2, a metacognitive instruction that a cognitive task would make subsequent recognition easier induced a conservative criterion shift. The finding that a simple motor task caused the revelation effect in Experiment 1 disconfirms the relationship between working memory and the revelation effect and extends the boundaries of the occurrence of the effect. The findings in Experiment 2 suggest that metacognition may be related to the occurrence of the revelation effect. This study implies a paradoxical aspect of human cognition in that metacognition, which usually makes cognition more effective and rational, may also cause an irrational phenomenon, the revelation effect. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

IMPACT OF WEARING WEEKDAY’S SPIRITUAL COLOURS ON AN INDIVIDUAL

The relationship between colour and human cognition and behavior has long captivated researchers across diverse fields. In particular, religious traditions often assign distinct colours to each day of the week, attributing them to planetary influences or divine energies. This research delves into the potential effects of wearing weekday-specific spiritual colours on individual behavior and perception.Clothing serves as a means of self-expression, conveying messages about one’s personality and identity. The choice of attire can significantly impact how individuals perceive themselves and how they are perceived by others. Similarly, colours play a crucial role in shaping mood and emotions.This research seeks to explore the practical implications of choosing clothing based on weekday-specific spiritual colours intentionally or undoubtedly. Drawing from Jyotih, or Vedic astrology, which associates each day of the week with a corresponding planet, this study aims to elucidate how adhering to this colour theory may streamline wardrobe decisions and promote auspiciousness. Moreover, this research highlights the potential benefits of integrating ancient wisdom with modern practices, offering individuals practical tools for enhancing their daily lives. By understanding the symbolic significance of colours in spiritual traditions and their impact on human psychology, individuals may cultivate a greater sense of alignment with cosmic energies and spiritual harmony.

EXPLORING CONCEPTS AND TYPES OF CONCEPTS IN MODERN LINGUISTICS

This article dives into the world of concepts, explaining what they are and the different types that exist. It explores how concepts help us organize our thoughts and communicate effectively. Additionally, it delves into the concept of age, breaking it down into its various dimensions such as chronological, biological, psychological, and social. By exploring these topics in simple language, the article offers valuable insights into how we perceive and navigate the world around us. It's an informative read for those interested in understanding the fundamental aspects of human cognition and development.

Exploring neighborhood low-carbon gene based on human cognition

Exploring neighborhood low-carbon gene based on human cognition

Monolayer, open-mesh, pristine PEDOT:PSS-based conformal brain implants for fully MRI-compatible neural interfaces

Understanding brain function is essential for advancing our comprehension of human cognition, behavior, and neurological disorders. Magnetic resonance imaging (MRI) stands out as a powerful tool for exploring brain function, providing detailed insights into its structure and physiology. Combining MRI technology with electrophysiological recording system can enhance the comprehension of brain functionality through synergistic effects. However, the integration of neural implants with MRI technology presents challenges because of its strong electromagnetic (EM) energy during MRI scans. Therefore, MRI-compatible neural implants should facilitate detailed investigation of neural activities and brain functions in real-time in high resolution, without compromising patient safety and imaging quality. Here, we introduce the fully MRI-compatible monolayer open-mesh pristine PEDOT:PSS neural interface. This approach addresses the challenges encountered while using traditional metal-based electrodes in the MRI environment such as induced heat or imaging artifacts. PEDOT:PSS has a diamagnetic property with low electrical conductivity and negative magnetic susceptibility similar to human tissues. Furthermore, by adopting the optimized open-mesh structure, the induced currents generated by EM energy are significantly diminished, leading to optimized MRI compatibility. Through simulations and experiments, our PEDOT:PSS-based open-mesh electrodes showed improved performance in reducing heat generation and eliminating imaging artifacts in an MRI environment. The electrophysiological recording capability was also validated by measuring the local field potential (LFP) from the somatosensory cortex with an in vivo experiment. The development of neural implants with maximized MRI compatibility indicates the possibility of potential tools for future neural diagnostics.

A Comparison of Diagnostic and Immunohistochemical Workup and Literature Review Capabilities of Online Artificial Intelligence Assistance Models in Pathology.

Artificial intelligence (AI) is a suite of technologies that enables computers to learn and interpret information like human cognition. It has found applications across various fields, including healthcare, agriculture, astronomy, navigation, and robotics. Within healthcare, AI has the potential to enhance diagnostic accuracy, facilitate drug research, and automate patient experiences. This comparative study focuses on the proficiency of AI in generating accurate differential diagnoses in the field of pathology. Six medical vignettes were crafted, and each scenario was then input into three different AI platforms. The pathologist reviewed and determined the most accurate AI model.

Distinguishing Intuitive and Deliberative Reasoning Regarding Different Aspects of Science Classroom Discourse

Purpose The current study aimed to identify the distances between a science teacher's intuitive reasoning and researchers’ systematic analysis of various aspects of science classroom discourse. An expert science teacher, given the pseudonym Jake, engaged in self-reflective processes regarding different aspects of classroom discussions to assess the variations and similarities between the teacher's intuitive estimations and the researchers’ data-based reasoning. Design/Approach/Methods Data collection involved in-depth interviews and video recording. Six aspects of science classroom discourse were considered to elucidate the distances: structure, interactional pattern, verbal sequence, typology, cognitive demand, and communicative approaches. Findings The quantitative distances between Jake's estimations and systematic observations of the six aspects of science classroom discourse varied across different aspects of the observed science lesson. While no consistent pattern was observed in the distances, there were increasing and decreasing gaps between the different aspects of science classroom discourse. Originality/Value Considering the contemporary arguments on human cognition and the professional development of science teachers, potential reasons for the differences were explored. Educational recommendations were provided, particularly regarding supporting science teachers’ journey toward becoming reflective inquirers or researcher-teachers.

Investing of Chatbots to Enhance the Library Services

Artificial Intelligence (AI) has become an indispensable tool in our daily lives and is a concept that refers to complex tasks that usually require significant human effort. Chatbots stand out as one of the primary applications of artificial intelligence, aiming to foster an interactive dialogue environment between humans and machines to address inquiries through textual or voice interfaces that simulate human cognition. Libraries can serve as an ideal environment for implementing this technology, where it can deliver advanced information services and streamline repetitive routine tasks typically performed by library staff. The paper discusses the applications of chatbots in automating library services, including reference services, user recommendations, information retrieval, data analysis, and other related processes, and their mechanism of action in processing natural language queries and responding to them accurately. Through a web survey, the study identified eighteen chatbot models that could be implemented in libraries. This survey provided details about these bots, including their type (free or commercial), ownership, release date, operating platforms, and key features. This allows libraries to choose from them. Integrating chatbots into libraries will open new horizons for enhancing their services and improving the user experience. Despite the benefits offered by these chatbots, they face several challenges and concerns regarding their usage, notably data privacy and security, and bias in retrieval. It is expected that in the future, these chatbots will become a fundamental component of providing library services.

On the Unexpected Abilities of Large Language Models

Large Language Models (LLMs) are capable of displaying a wide range of abilities that are not directly connected with the task for which they are trained: predicting the next words of human-written texts. In this article, I review recent research investigating the cognitive abilities developed by LLMs and their relation to human cognition. I discuss the nature of the indirect process that leads to the acquisition of these cognitive abilities, their relation to other indirect processes, and the implications for the acquisition of integrated abilities. Moreover, I propose the factors that enable the development of abilities that are related only very indirectly to the proximal objective of the training task. Finally, I discuss whether the full set of capabilities that LLMs could possibly develop is predictable.

Understanding Human Cognition Through Computational Modeling.

One important goal of cognitive science is to understand the mind in terms of its representational and computational capacities, where computational modeling plays an essential role in providing theoretical explanations and predictions of human behavior and mental phenomena. In my research, I have been using computational modeling, together with behavioral experiments and cognitive neuroscience methods, to investigate the information processing mechanisms underlying learning and visual cognition in terms of perceptual representation and attention strategy. In perceptual representation, I have used neural network models to understand how the split architecture in the human visual system influences visual cognition, and to examine perceptual representation development as the results of expertise. In attention strategy, I have developed the Eye Movement analysis with Hidden Markov Models method for quantifying eye movement pattern and consistency using both spatial and temporal information, which has led to novel findings across disciplines not discoverable using traditional methods. By integrating it with deep neural networks (DNN), I have developed DNN+HMM to account for eye movement strategy learning in human visual cognition. The understanding of the human mind through computational modeling also facilitates research on artificial intelligence's (AI) comparability with human cognition, which can in turn help explainable AI systems infer humans' belief on AI's operations and provide human-centered explanations to enhance human-AI interaction and mutual understanding. Together, these demonstrate the essential role of computational modeling methods in providing theoretical accounts of the human mind as well as its interaction with its environment and AI systems.

Tools and methods to study and replicate experiments addressing human social cognition in interactive scenarios

In the last decade, scientists investigating human social cognition have started bringing traditional laboratory paradigms more “into the wild” to examine how socio-cognitive mechanisms of the human brain work in real-life settings. As this implies transferring 2D observational paradigms to 3D interactive environments, there is a risk of compromising experimental control. In this context, we propose a methodological approach which uses humanoid robots as proxies of social interaction partners and embeds them in experimental protocols that adapt classical paradigms of cognitive psychology to interactive scenarios. This allows for a relatively high degree of “naturalness” of interaction and excellent experimental control at the same time. Here, we present two case studies where our methods and tools were applied and replicated across two different laboratories, namely the Italian Institute of Technology in Genova (Italy) and the Agency for Science, Technology and Research in Singapore. In the first case study, we present a replication of an interactive version of a gaze-cueing paradigm reported in Kompatsiari et al. (J Exp Psychol Gen 151(1):121–136, 2022). The second case study presents a replication of a “shared experience” paradigm reported in Marchesi et al. (Technol Mind Behav 3(3):11, 2022). As both studies replicate results across labs and different cultures, we argue that our methods allow for reliable and replicable setups, even though the protocols are complex and involve social interaction. We conclude that our approach can be of benefit to the research field of social cognition and grant higher replicability, for example, in cross-cultural comparisons of social cognition mechanisms.

Events in context—The HED framework for the study of brain, experience and behavior

The brain is a complex dynamic system whose current state is inextricably coupled to awareness of past, current, and anticipated future threats and opportunities that continually affect awareness and behavioral goals and decisions. Brain activity is driven on multiple time scales by an ever-evolving flow of sensory, proprioceptive, and idiothetic experience. Neuroimaging experiments seek to isolate and focus on some aspect of these complex dynamics to better understand how human experience, cognition, behavior, and health are supported by brain activity. Here we consider an event-related data modeling approach that seeks to parse experience and behavior into a set of time-delimited events. We distinguish between event processes themselves, that unfold through time, and event markers that record the experiment timeline latencies of event onset, offset, and any other event phase transitions. Precise descriptions of experiment events (sensory, motor, or other) allow participant experience and behavior to be interpreted in the context either of the event itself or of all or any experiment events. We discuss how events in neuroimaging experiments have been, are currently, and should best be identified and represented with emphasis on the importance of modeling both events and event context for meaningful interpretation of relationships between brain dynamics, experience, and behavior. We show how text annotation of time series neuroimaging data using the system of Hierarchical Event Descriptors (HED; https://www.hedtags.org) can more adequately model the roles of both events and their ever-evolving context than current data annotation practice and can thereby facilitate data analysis, meta-analysis, and mega-analysis. Finally, we discuss ways in which the HED system must continue to expand to serve the evolving needs of neuroimaging research.

Long-term ayahuasca use is associated with preserved global cognitive function and improved memory: a cross-sectional study with ritual users.

Although several studies have been conducted to elucidate the relationship between psychedelic consumption and cognition, few have focused on understanding the long-term use influence of these substances on these variables, especially in ritualistic contexts. To verify the influence of ritualistic ayahuasca consumption on the cognition of experienced ayahuasca religious users (> 20years) and beginners (< 3years), which participated in rituals of the Centro Luz Divina (CLD), a Santo Daime church in Brazil. Observational, descriptive, and cross-sectional study was carried out in which 48 people participated divided into three groups: (a) experienced ayahuasca users (n = 16), (b) beginner ayahuasca users (n = 16) and (c) control group (n = 16). All groups were matched by sex, age, and education and contained 8 women and 8 men. Cognition was assessed with the WASI (intelligence quotient), Digit Span (verbal working memory), Corsi Block-Tapping Task (visuospatial-related and working memory), Rey-Osterrieth Complex Figure test (visual perception, immediate memory), and Wisconsin Card Sorting and Five Digit Test (executive functions). Groups were homogenous in terms of sociodemographic characteristics, with participants presenting average intellectual performance. There was no evidence of cognitive decline amongst ayahuasca users. The experienced group showed higher scores compared to the less experienced group in the Digit Span and Corsi Block-Tapping tasks, which assess working verbal and visuospatial memories respectively. We confirmed the botanical identities of Psychotria viridis and Banisteriopsis caapi and the presence of the alkaloids both in the plants and in the brew. Short and long-term ayahuasca consumption does not seem to alter human cognition, while long-term use seems to be associated with improvements in aspects of working memory when compared with short-term use.

Концепции поэтики и симуляции смыслов: философский дискурс о киноискусстве

Cinematic art possesses a unique capacity to engender alternative realms, fabricate spatial-temporal realities, and thereby engender the poetics of meaning. The existing modern research in philosophy, history, semiotics, cinematic reality, phenomenology, and narrative structure within cinematic art furnishes an extensive foundation for profound exploration into the quandaries of meaning and the logical construction of filmic language. The concepts of poetics and the simulation of meanings within cinematic art are intriguing to trace and analyze from diverse philosophical standpoints and perceptions. The art of cinema is based on and appeals to early forms of thinking, semantic image, ideal forms, representations of the world and art. The theories and worldview of ancient thinkers seem to have antedated the articulation of the authentic concept of cinema. Phenomenological research aims to fill the gaps in the system of human judgment, contemplation, logic, cognition and reason. Through the prism of philosophy, we glean a finer comprehension of how cinematic art shapes our perception of reality through replicas of natural world perception, portraying human existence within a simulacrum, which itself constitutes its own reality. As further investigations into these philosophical domains are pursued, a deeper comprehension of the complex relationship between cinema, perception, and the intricacies of human experience is developed.