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Reading primary research literature is an essential skill for all scientists and students on science degree programmes, however little is known about how researchers at different career stages interact with and interpret scientific papers. To explore this, we conducted a survey of 260 undergraduate students and researchers in Biological Sciences at a research intensive UK university. Responses to Likert scale questions demonstrated increases in confidence and skill with reading the literature between individuals at each career stage, including between postdoctoral researchers and faculty academics. The survey indicated that individuals at different career stages valued different sections of scientific papers, and skill in reading the results section develops slowly over the course of an academic career. Inexperienced readers found the methods and results sections of research papers the most difficult to read, and undervalued the importance of the results section and critical interpretation of data. These data highlight a need for structured support with reading scientific literature at multiple career stages, and for senior academics to be aware that junior colleagues may prioritise their reading differently. We propose a model for the development of literature processing skills, and consider the need for training strategies to help inexperienced readers engage with primary literature, and therefore develop important skills that underpin scientific careers. We also encourage researchers to be mindful of language used when writing papers, and to be more inclusive of diverse audiences when disseminating their work. [ABSTRACT FROM AUTHOR]

The Semantic Link Network is a general semantic model for modeling the structure and the evolution of complex systems. Various semantic links play different roles in rendering the semantics of complex system. One of the basic semantic links represents cause-effect relation, which plays an important role in representation and understanding. This paper verifies the role of the Semantic Link Network in representing the core of text by investigating the contribution of cause-effect link to representing the core of scientific papers. Research carries out with the following steps: (1) Two propositions on the contribution of cause-effect link in rendering the core of paper are proposed and verified through a statistical survey, which shows that the sentences on cause-effect links cover about 65% of key words within each paper on average. (2) An algorithm based on syntactic patterns is designed for automatically extracting cause-effect link from scientific papers, which recalls about 70% of manually annotated cause-effect links on average, indicating that the result adapts to the scale of data sets. (3) The effects of cause-effect link on four schemes of incorporating cause-effect link into the existing instances of the Semantic Link Network for enhancing the summarization of scientific papers are investigated. The experiments show that the quality of the summaries is significantly improved, which verifies the role of semantic links. The significance of this research lies in two aspects: (1) it verifies that the Semantic Link Network connects the important concepts to render the core of text; and, (2) it provides an evidence for realizing content services such as summarization, recommendation and question answering based on the Semantic Link Network, and it can inspire relevant research on content computing. [ABSTRACT FROM AUTHOR]

The need to complete multiple tasks concurrently is a common occurrence both daily life and in occupational activities, which can often include simultaneous cognitive and physical demands. As one example, there is increasing availability of head-worn display technologies that can be employed when a user is mobile (e.g., while walking). This new method of information presentation may, however, introduce risks of adverse outcomes such as a decrement to gait performance. The goal of this study was thus to quantify the effects of a head-worn display (i.e., smart glasses) on motor variability during gait and to compare these effects with those of other common information displays (i.e., smartphone and paper-based system). Twenty participants completed four walking conditions, as a single task and in three dual-task conditions (three information displays). In the dual-task conditions, the information display was used to present several cognitive tasks. Three different measures were used to quantify variability in gait parameters for each walking condition (using the cycle-to-cycle standard deviation, sample entropy, and the “goal-equivalent manifold” approach). Our results indicated that participants used less adaptable gait strategies in dual-task walking using the paper-based system and smartphone conditions compared with single-task walking. Gait performance, however, was less affected during dual-task walking with the smart glasses. We conclude that the risk of an adverse gait event (e.g., a fall) in head-down walking conditions (i.e., the paper-based system and smartphone conditions) were higher than in single-task walking, and that head-worn displays might help reduce the risk of such events during dual-task gait conditions. [ABSTRACT FROM AUTHOR]

We present motivation and practical steps necessary to find parameter estimates of joint models of behavior and neural electrophysiological data. This tutorial is written for researchers wishing to build joint models of human behavior and scalp and intracranial electroencephalographic (EEG) or magnetoencephalographic (MEG) data, and more specifically those researchers who seek to understand human cognition. Although these techniques could easily be applied to animal models, the focus of this tutorial is on human participants. Joint modeling of M/EEG and behavior requires some knowledge of existing computational and cognitive theories, M/EEG artifact correction, M/EEG analysis techniques, cognitive modeling, and programming for statistical modeling implementation. This paper seeks to give an introduction to these techniques as they apply to estimating parameters from neurocognitive models of M/EEG and human behavior, and to evaluate model results and compare models. Due to our research and knowledge on the subject matter, our examples in this paper will focus on testing specific hypotheses in human decision-making theory. However, most of the motivation and discussion of this paper applies across many modeling procedures and applications. We provide Python (and linked R) code examples in the tutorial and appendix. Readers are encouraged to try the exercises at the end of the document. [ABSTRACT FROM AUTHOR]

During the socialization process in family and school contexts, children display a wide variety of social behaviors with parents and peers. Yet the developmental trajectory, the predictors and outcomes, and the neural basis of those social behaviors are largely under-investigated. To address these problems, we invited experts in the field to submit their latest findings to tell this story. The current Special Issue is a collection of papers highlighting the complexity for various social behaviors, with a focus on the complex mechanisms that link social behaviors to child socio-emotional adjustment and mediating/moderating factors among the associations. Thirteen papers illustrate empirical work in the field, two papers present new methodological concerns, and one paper that provides a comprehensive review of the literature. [ABSTRACT FROM AUTHOR]

Do highly productive researchers have significantly higher probability to produce top cited papers? Or do high productive researchers mainly produce a sea of irrelevant papers—in other words do we find a diminishing marginal result from productivity? The answer on these questions is important, as it may help to answer the question of whether the increased competition and increased use of indicators for research evaluation and accountability focus has perverse effects or not. We use a Swedish author disambiguated dataset consisting of 48.000 researchers and their WoS-publications during the period of 2008–2011 with citations until 2014 to investigate the relation between productivity and production of highly cited papers. As the analysis shows, quantity does make a difference. [ABSTRACT FROM AUTHOR]

Psychodynamic psychotherapy does not feature in current treatment guidelines for attention‐deficit hyperactivity disorder (ADHD) in the United Kingdom. However, there is some psychoanalytic understanding of the disorder, which is corroborated in current neuroscientific theory, and supports clinicians in thinking beyond the behaviourally biased diagnosis and treatment models. One of the core features of ADHD is distortions in chronoception. This clinical paper therefore explores the psychoanalytic and neuroscientific theories of time perception as a way of exploring a discrete element of the complex idea of executive functioning more generally. It supports therapists approaching such executive dysfunction and to reconsider the treatment guidelines. A case example is used to explore how a transference‐, affect‐ and relationally‐focussed therapy can effect lasting change for people with ADHD in a way that behavioural and medication approaches do not. It is argued that such an intervention can improve oscillatory attention between subjective‐ and objective‐time and increase the capacity to self‐contain emotions. This brings patients into alignment with reality and restarts their psychic development towards themselves, others, the parental couple and grieving, which stalled in infancy. The internalised schema of the 50‐minute therapy session also provides a frame of reference for future tasks. [ABSTRACT FROM AUTHOR]

The clonal selection theory (CST) is the centrepiece of the current paradigm used to explain immune recognition and memory. Throughout the past decades, the original CST had been expanded and modified to explain new experimental evidences since its original publication by Burnet. This gave origin to new paradigms that govern experimental immunology nowadays, such as the associative recognition of antigen model and the stranger/danger signal model. However, these new theories also do not fully explain experimental findings such as natural autoimmune immunoglobulins, idiotypic networks, low and high dose tolerance, and dual‐receptor T and B cells. To make sense of these empirical data, some authors have been trying to change the paradigm of immune cognition using a systemic approach, analogies with brain processing and concepts from second‐order cybernetics. In the present paper, we review the CST and some of the theories/hypotheses derived from it, focusing on immune recognition. We point out their main weaknesses and highlight arguments made by their opponents and believers. We conclude that, until now, none of the proposed theories can fully explain the totality of immune phenomena and that a theory of everything is needed in immunology. [ABSTRACT FROM AUTHOR]

This paper analyses the development of UNESCO's Mahatma Gandhi Institute on Education for Peace and Sustainable Development (MGIEP), examining its record from global, national and institutional perspectives. The global perspective encompasses challenges to UNESCO's attempts to articulate a distinctive, humanistic vision in competition with other multilateral bodies. The national perspective relates to India, which hosts MGIEP, provides the bulk of its funding and exerts significant influence over its governance. Consideration is also given to the relationship between MGIEP's work and Mahatma Gandhi's ideas. Finally, the institutional perspective relates both to the author's own experience with MGIEP, and to information gained through interviews with others involved with the institute. It is argued that MGIEP's story illuminates challenges to attempts, within India and internationally, to sustain a humanistic vision of education in the face of powerful countervailing interests. [ABSTRACT FROM AUTHOR]

In recent decades, the debate on consciousness has been conditioned by the idea of bottom-up emergence, which has influenced scientific research and raised a few obstacles to any attempt to bridge the explanatory gap. The analysis and explanation of vision conducted according to the accredited methodologies of scientific research in terms of physical stimuli, objectivity, methods, and explanation has encountered the resistance of subjective experience. Moreover, original Gestalt research into vision has generally been merged with cognitive neuroscience. Experimental phenomenology, building on the legacy of Gestalt psychology, has obtained new results in the fields of amodal contours and color stratifications, light perception, figurality, space, so-called perceptual illusions, and subjective space and time. Notwithstanding the outcomes and the impulse given to neuroscientific analyses, the research carried out around these phenomena has never directly confronted the issue of what it means to be conscious or, in other words, the nature of consciousness as self-referentiality. Research has tended to focus on the percept. Therefore, explaining the non-detachability of parts in subjective experience risks becoming a sort of impossible achievement, similar to that of Baron Munchausen, who succeeds in escaping unharmed from this quicksand by pulling himself out by his hair. This paper addresses how to analyze seeing as an undivided whole by discussing several basic dimensions of phenomenal consciousness on an experimental basis and suggesting an alternative way of escaping this quicksand. This mind-set reversal also sheds light on the organization and dependence relationships between phenomenology, psychophysics, and neuroscience. [ABSTRACT FROM AUTHOR]

There has been a renewed interest in the clinical applications of psychedelics, with increasing use for a variety of psychiatric conditions. Individuals often describe psychedelic sessions as among the most significant experiences in their lives, emphasising the sense of awe, connectedness, and spiritual transformation they undergo. They can also feel they are experiencing truth and becoming aware of reality in deeper ways than ever before. As elusive as it is inescapable, Wilfred Bion’s ‘O’ denotes contact with absolute truth, approachable through an intuitive awareness of reality that goes beyond cognitive strategies seeking to ‘know’. The state of mind cultivated to enter into such realms, to reach O, and indeed to achieve mystical experiences under psychedelics, is one of surrender and transcendence of a cognitively weighted, sensorially bound interfacing with reality. This paper outlines the neurophenomenology of psychedelic use, the concept of O, and their clinical significance vis-à-vis contemporary psychodynamic thinking. As our understanding deepens regarding the changes associated with use of psychedelics, we can draw parallels between acquisition of insight and subsequent reshaping of one’s templates and perspectives taking place through use of these drugs, and the process that occurs over the course of a psychoanalysis or psychodynamic therapy. [ABSTRACT FROM AUTHOR]

It is important to implement detection and assessment of plant diseases based on remotely sensed data for disease monitoring and control. Hyperspectral data of healthy leaves, leaves in incubation period and leaves in diseased period of wheat stripe rust and wheat leaf rust were collected under in-field conditions using a black-paper-based measuring method developed in this study. After data preprocessing, the models to identify the diseases were built using distinguished partial least squares (DPLS) and support vector machine (SVM), and the disease severity inversion models of stripe rust and the disease severity inversion models of leaf rust were built using quantitative partial least squares (QPLS) and support vector regression (SVR). All the models were validated by using leave-one-out cross validation and external validation. The diseases could be discriminated using both distinguished partial least squares and support vector machine with the accuracies of more than 99%. For each wheat rust, disease severity levels were accurately retrieved using both the optimal QPLS models and the optimal SVR models with the coefficients of determination (R2) of more than 0.90 and the root mean square errors (RMSE) of less than 0.15. The results demonstrated that identification and severity evaluation of stripe rust and leaf rust at the leaf level could be implemented based on the hyperspectral data acquired using the developed method. A scientific basis was provided for implementing disease monitoring by using aerial and space remote sensing technologies. [ABSTRACT FROM AUTHOR]

In this paper we situate the act of listening in the context of children's rights whilst highlighting the benefits of this practice on the psychological and neurological development of children. After unpacking the concept of listening and the role it plays in adult-child communication, we share the results of a scoping review where we examined neuroscientific studies pointing to the benefits of listening and what relevance such evidence has for children's rights implementation. As such, this paper shows that when adults listen to children in the context of safe, nurturing, and empathic interactions, children draw tangible benefits to many areas of their development. We conclude proposing enhancing adults' capacity for listening as a strategy to contribute to the fulfillment of the rights of children of all ages. [ABSTRACT FROM AUTHOR]

Recently, there have been intense debates within the mental health field regarding the validity of the current diagnostic system, how to best work with individuals in distress, and what constitutes "mental illness." Proponents of a more biologically focused psychiatry are calling for a shift from a system of many discrete mental disorders based on somewhat arbitrary lists of symptoms to one that focuses on differences in brain activity, brain structure, and/or soon-to-be-discovered biomarkers as the basis for diagnostic categorization. Several national and federally funded organizations throughout the world, including the National Institute of Mental Health in the United States, have publicly avowed to support technologies and research focused on discovering brain-based pathology at the explicit expense of studies examining psychosocial factors and preventative measures for human suffering. Although the motivation for this shift is understandable, it continues to rely on a disease model based on an implausible reductionist view of human nature and contradicts robust research findings. It is likely that this new research focus will not only fail to achieve the breakthroughs it aims for, it will also serve to entrench current flawed assumptions about emotional distress to the detriment of many. By focusing on a narrow, brain-based etiology of emotional suffering, crucial factors, such as poverty, violence, family disharmony, and discrimination are marginalized or ignored. The need for a more comprehensive approach is discussed. [ABSTRACT FROM AUTHOR]

An editorial is presented which discusses the collaborative writing with multiple authors which has additional challenges including varied levels of engagement of coauthors, provision of fair credit through authorship or acknowledgements and acceptance of diversity of work styles. Also discussed are the 10 simple rules for collaboratively writing a multi-authored paper which include to build a writing team wisely; to create a data management plan and to jointly decide on authorship guidelines.

This paper presents an enhanced version of our previously developed bio-optical transceiver, presenting a significant advancement in nanosensor technology. Using self-assembled polymers, this nanodevice is capable of electron detection while maintaining biocompatibility, an essential feature for in vivo medical biosensors. This enhancement finds significance in the field of infectious disease control, particularly in the early detection of respiratory viruses, including high-threat pathogens such as SARS-CoV-2. The proposed system harnesses bioluminescence by converting electric signaling to visible blue light, effectively opening the path of linking nano-sized mechanisms to larger-scale systems, thereby pushing the boundaries of in vivo biomedical sensing. The performance evaluation of our technology is analytical and is based on the use of Markov chains, through which we assess the bit error probability. The calculated improvements indicate that this technology qualifies as a forerunner in terms of supporting the communication needs of smaller, safer, and more efficient manufactured sensor technologies for in vivo medical applications. [ABSTRACT FROM AUTHOR]

In this paper, findings from research in neuroscience of morality will be reviewed to consider the purposes of moral education. Particularly, I will focus on two main themes in neuroscience, novel neuroimaging and experimental investigations, and Bayesian learning mechanism. First, I will examine how neuroimaging and experimental studies contributed to our understanding of psychological mechanisms associated with moral functioning while addressing methodological concerns. Second, Bayesian learning mechanism will be introduced to acquire insights about how moral learning occurs in human brains. Based on the reviewed neuroscientific research on morality, I will examine how evidence can support the model of moral education proposed by virtue ethics, Neo-Aristotelian moral philosophy in particular. Particularly, two main aims of virtue ethics-based moral education, the habituation of virtues and the cultivation of phronesis, will be discussed as the important purposes of moral education based on neuroscientific evidence. [ABSTRACT FROM AUTHOR]

Background: This paper discusses a paradox in mental health. It manifests as a relationship between adverse "bad" effects (suffering, clinical costs, loss of productivity) in individuals and populations and advantageous "good" aspects of mental disorders. These beneficial aspects (scientific, artistic and political accomplishments) emanate at the societal level through the frequently unprecedented creativity of people suffering from mental disorders and their relatives. Such gains can contribute to societal innovation and problem-solving. Especially in times of accelerated social-ecological change, approaches are needed that facilitate best-possible mental health care but also recognize creative ideas conducive to beneficial clinical and social-ecological innovations as soon as possible. Discussion: This paper emphasizes the need to account for creativity as a crucial component in evolving mental health systems and societies. It highlights the need for wide-ranging approaches and discusses how research targeting multiple facets (e.g., brain level, cognitive neuroscience, psychiatry, neurology, socio-cultural, economic and other factors) might further our understanding of the creativity-mental disorder link and its importance for innovating mental health systems and societies. Conclusion: Our discussion clarifies that considerable research will be needed to obtain a better understanding of how creativity associated with mental disorders may help to create more sustainable societies on a fast-changing planet through innovative ideas. Given the current-state-of-the-art of research and healthcare management, our discussion is currently speculative. However, it provides a basis for how pros and cons might be studied in the future through transdisciplinary research and collaborations across sectors of society. [ABSTRACT FROM AUTHOR]

Informed consent is the cornerstone of human research subject protection. Many subjects sign consent documents without understanding the study purpose, procedures, risks, benefits, and their rights. Proof of comprehension is not required and rarely obtained. Understanding might improve by using an interactive system with multiple options for hearing, viewing and reading about the study and the consent form at the subject’s own pace with testing and immediate feedback. This prospective randomized study compared the IRB-approved paper ICF for an actual clinical research study with an interactive presentation of the same study and its associated consent form using an iPad device in two populations: clinical research professionals, and patients drawn from a variety of outpatient practice settings. Of the 90 participants, 69 completed the online test and survey questions the day after the session (maximum 36 hours post-session). Among research professionals (n = 14), there was a trend (p  = .07) in the direction of iPad subjects testing better on the online test (mean correct  =  77%) compared with paper subjects (mean correct  =  57%). Among patients (n = 55), iPad subjects had significantly higher test scores than standard paper consent subjects (mean correct  =  75% vs 58%, p < .001). For all subjects, the total time spent reviewing the paper consent was 13.2 minutes, significantly less than the average of 22.7 minutes total on the three components to be reviewed using the iPad (introductory video, consent form, interactive quiz). Overall satisfaction and overall enjoyment slightly favored the interactive iPad presentation. This study demonstrates that combining an introductory video, standard consent language, and an interactive quiz on a tablet-based system improves comprehension of research study procedures and risks. [ABSTRACT FROM AUTHOR]

Journals devoted exclusively to brief communications or letters papers are common outlets for scientific authors, and many such serials have become famous in their fields. However, a pattern of making these “least publishable units” one's favorite form of publication is often regarded as an attempt to inflate artificially one's CV, by critics who consider longer, comprehensive published studies a more appropriate genre for serious science. Letters papers in letters journals have nonetheless historically been defended on grounds that they appear far more quickly in print after acceptance than do regular full-length articles, giving them a greater chance to be noticed and cited by the scientific community sooner. This article demonstrates that with the advent of e-publishing upon manuscript acceptance and ahead of print, the lag time between the appearance of a letters paper and a corresponding full-length article is diminishing to a matter of days, and arguments for or against letters papers and letters journals must be made on other grounds. [ABSTRACT FROM AUTHOR]

A growing portion of premedical curricula is being devoted to the study of physiological mechanisms underlying animal behavior. In the present article, I describe an activity centered around a classic Journal of Neurophysiology paper by Edward V. Evarts that lays the foundation for students to investigate common behavioral and physiological techniques used to study motor control in primates. Students will leave this activity being able to 1) critically assess behavioral, electromyographic, and single unit (extracellular) neurophysiological data typically acquired by behavioral neurophysiologists; 2) provide physiological evidence that the primate precentral gyrus (primary motor cortex) controls voluntary movements of the wrist; 3) intelligently discuss hypotheses concerning the role of the primary motor cortex in the generation of movement in mammalian species; and 4) discuss the ethical implications of using mammalian species as model organisms. The skills and background knowledge gained in this activity lay the platform for advanced study of scientific investigations into sensory, motor, and cognitive processes in undergraduate, graduate, or medical school curricula. [ABSTRACT FROM AUTHOR]

The initial version of the article by Clithero, Karmarkar, Nave, and Plassmann (Journal of Consumer Psychology, 2024) was critiqued by open comments from a small group of scholars. Their suggestions encouraged the authors to clarify challenging relationships between brain processes and emotions, beliefs, and actions. The revision expanded fMRI and EEG to include measures of vision, facial expression, breathing, heart rhythms, and blood chemistry. The paper provides multiple avenues of joint work between neurological and psychological scholars. The comments below reflect different reactions to the final article. Wes Hutchinson acknowledges that neuroscience insights complement cognitive measures that generate explicit measures of thought, emotion, or preferences, but he warns that repeated measures over time are problematic for both types of measurement, and the inherent complexity of brain–behavior relationships is often underestimated. With both orientations, understanding the functioning of human behavior is akin to making sense of an orchestra, where the interactive blending of different instruments and musicians reflects a complex activity that generates sounds, emotions, and stories. Both consumer neuroscientists and psychologists need to broaden their paradigmatic approaches with bodily measures and advanced psychological procedures to overcome challenges to joint progress. Martin Reiman asserts that despite difficulties with measures that have different levels of abstraction or velocity, research has provided remarkable associations between brain activity and consumer behavior. Effective studies merging brain and behavior can effectively proceed with studies that differ in two dimensions: first, by altering the number of variables, and second, by shifting whether the scientific paradigm is inductive or deductive. In its simple form, the Excavation path explores brain activity when a person is exposed to specific statements or emotions. In its most challenging form, Integrative Studies generate predictions from theories that test the convergent validity of divergent measures and leverage skills from different researchers. Studies reflecting high levels on one dimension but low levels on the other can also provide fruitful research opportunities. Brian Knutson, like Reimann, counters the idea that consumer psychology has not lived up to its promises. He references studies showing that activity from very specific areas of the brain reliably predicts choices better than explicit ratings or choices. Such research generates deductions from increasingly precise neural maps that enable confirmation of theory. That said, he acknowledges that consumer neuroscience is not able to identify a brain button that would alter choice through manipulated neurostimulation. However, since human brains are similar across people, the depth of neural insights that are consistent across a small sample of 40 respondents may generate greater insights than conventional marketing research with 2000 respondents. The cost of neuroscience will further decrease with gains in reliability, validity, and generalizability, particularly if augmented with bodily measures. He acknowledges that the theoretical side has developed more slowly than applications, particularly applications that are supported by sponsoring organizations more satisfied with local insights than general models. [ABSTRACT FROM AUTHOR]

Physics is a field of science that has traditionally used the scientific method to answer questions about why natural phenomena occur and to make testable models that explain the phenomena. Discovering equations, laws, and principles that are invariant, robust, and causal has been fundamental in physical sciences throughout the centuries. Discoveries emerge from observing the world and, when possible, performing interventions on the system under study. With the advent of big data and data-driven methods, the fields of causal and equation discovery have developed and accelerated progress in computer science, physics, statistics, philosophy, and many applied fields. This paper reviews the concepts, methods, and relevant works on causal and equation discovery in the broad field of physics and outlines the most important challenges and promising future lines of research. We also provide a taxonomy for data-driven causal and equation discovery, point out connections, and showcase comprehensive case studies in Earth and climate sciences, fluid dynamics and mechanics, and the neurosciences. This review demonstrates that discovering fundamental laws and causal relations by observing natural phenomena is revolutionised with the efficient exploitation of observational data and simulations, modern machine learning algorithms and the combination with domain knowledge. Exciting times are ahead with many challenges and opportunities to improve our understanding of complex systems. [ABSTRACT FROM AUTHOR]

Basic color terms used in Mandarin Chinese have been controversial since first discussed by Berlin and Kay in 1969. Previous studies showed much inconsistency on what should be considered as basic color terms in Mandarin Chinese. In the present study, we investigated categories of color rather than merely the color terms used by Taiwanese native Mandarin speakers. Using samples conforming to the Berlin and Kay survey, various colors were chosen from a collection of Natural Color System (NCS) colored papers and mounted on a piece of neutral gray card. The card was then mounted on a touch-screen, under D65 illumination. Thirty-two single-character color related Mandarin terms were selected from a Chinese character database according to frequency of use. Participants were required to select the color sample that matched the term by pressing a virtual button on the touch screen. The results show that certain terms can be directly correlated to basic color terms in English, comparable with the results of Berlin and Kay’s original study and those that followed. However, some terms, such as Mo (墨 ink), Tie (鐵 iron), and Cai (菜vegetable), show a wide spread of term maps and inconsistent use among subjects. Principle component analysis (PCA) procedures were used to analysis the commodity of data among subjects. The findings suggest that the basic color categories among Mandarin Chinese speakers are similar to those found in the World Color Survey (WCS), but are represented by wide-spread and inconsistent color terms among speakers. [ABSTRACT FROM AUTHOR]

Context: The highest cited papers published in a journal provide a snapshot of the clinical practice and research in that specialty and/or region.Aims: The aim of this study was to determine the highest cited papers published in Neurology India and analyze their attributes.Setting and Design: This study was a citation analysis of all papers published in Neurology India since online archiving commenced in 1993.Methods: All papers published in Neurology India between the years 1993-2014 were listed. The number of times each paper had been cited up till the time of performing this study was determined by performing a Google Scholar search. Published papers were then ranked on the basis of total times cited since publication and the annual citation rate. Statistical Techniques: Simple counts and percentages were used to report most results. The mean citations received by papers in various categories were compared using the Student's t-test or a one-way analysis of variance, as appropriate. All analyses were carried out on SAS University Edition (SAS/STAT®, SAS Institute Inc, NC, USA) and graphs were generated on MS Excel 2016.Results: The top papers on the total citations and annual citation rate rank lists pertained to basic neuroscience research. The highest cited paper overall had received 139 citations. About a quarter of the papers published had never been cited at all. The major themes represented were vascular diseases and infections.Conclusions: The highest cited papers reflect the diseases that are of major concern in India. Certain domains such as trauma, allied neurosciences, and basic neuroscience research were underrepresented. [ABSTRACT FROM AUTHOR]

The study of nervous system architecture and its behavior is an interdisciplinary science related to "Neuroscience." It contains each and every detail related to neuroevolution, molecular and cellular biostructure, anatomy, and pharmacology. To understand this complex structure and architecture of nervous system, a fast, reliable, and advanced technology is required. Object recognition (OR) plays a vital role to understand and adapt the complex system in an easy way. Object recognition provides a computational and cognitive platform to link neuroscience with the human-machine interface for proper interaction in the medical field. OR-computational neuroscience deals with the neural pattern through different models, whereas OR-cognitive science helps to understand the behavior mechanism of neural architecture. The goal of this research is to explain how the brain interprets and processes information using electrical and chemical signals. The paper contains OR-based models in the field of neuroscience. It examines neural representations, neuronal type communication, and neural learning in depth. This paper provides an overview of OR-based cognitive computational neuroscience as well as the models that go with it. A thorough examination of the applications is presented, followed by a discussion of potential future paths. [ABSTRACT FROM AUTHOR]

The study of the human psyche has elucidated a bipartite structure of logic reflecting the quantum–classical nature of the world. Accordingly, we posited an approach toward studying the brain by means of the quantum–classical dynamics of a mixed Weyl symbol. The mixed Weyl symbol can be used to describe brain processes at the microscopic level and, when averaged over an appropriate ensemble, can provide a link to the results of measurements made at the meso and macro scale. Within this approach, quantum variables (such as, for example, nuclear and electron spins, dipole momenta of particles or molecules, tunneling degrees of freedom, and so on) can be represented by spinors, whereas the electromagnetic fields and phonon modes can be treated either classically or semi-classically in phase space by also considering quantum zero-point fluctuations. Quantum zero-point effects can be incorporated into numerical simulations by controlling the temperature of each field mode via coupling to a dedicated Nosé–Hoover chain thermostat. The temperature of each thermostat was chosen in order to reproduce quantum statistics in the canonical ensemble. In this first paper, we introduce a general quantum–classical Hamiltonian model that can be tailored to study physical processes at the interface between the quantum and the classical world in the brain. While the approach is discussed in detail, numerical calculations are not reported in the present paper, but they are planned for future work. Our theory of brain dynamics subsumes some compatible aspects of three well-known quantum approaches to brain dynamics, namely the electromagnetic field theory approach, the orchestrated objective reduction theory, and the dissipative quantum model of the brain. All three models are reviewed. [ABSTRACT FROM AUTHOR]

Symmetry belongs to one of the basic principles of the beauty of human and non-human objects since antiquity. Even though its significance has been verified by numerous theories and research studies, there is a number of papers suggesting that this principle may be false. The study identifies five major evolutionary principles, in the context of new approaches and research ambiguities based mainly on neuroscience and evolutionary psychology, that support the thesis that highlights the significance of symmetry in the perception and assessment of attractiveness: 1. symmetry as an honest signal of various health characteristics; 2. symmetry as proof of developmental stability; 3. effectiveness; 4. comprehensibility; 5. predictability. In the context of the mechanisms described above it also seeks possible explanations for the existence of contradictory research results related to the attractiveness of symmetry. The outcome of the study is the postulation of three hypotheses: 1. the naturalness hypothesis (symmetry is only attractive to the same degree that it naturally occurs in the subject); 2. the accent hypothesis (minor asymmetries do not disprove the principles of symmetry, they make them more visible); 3. the ecology hypothesis (the attractiveness of symmetry is conditioned by the situation and depends on the type of subject assessed) that allow us to integrate both past and contemporary (and putatively contradictory) research findings. The paper also provides proposals for the verification of the postulated hypotheses. [ABSTRACT FROM AUTHOR]

The paper concentrates on the solitary waves that are retrievable from the generalized Boussinesq equation. The numerical simulations are displayed in the paper that gives a visual perspective to the model studied in neurosciences. The Laplace–Adomian decomposition scheme makes this visualization of the solitons possible. The numerical simulations are being reported for the first time using an elegant approach. The results would be helpful for neuroscientists and clinical studies in Medicine. The novelty lies in the modeling that is successfully conducted with an impressively small error measure. In the past, the model was integrated analytically only to recover soliton solutions and its conserved quantities. [ABSTRACT FROM AUTHOR]

Perception and synchronization of rhythms are vital for human health and social functioning, and cognition, which calls for rhythmic acoustic stimulation as a potential therapy. Quranic sound contains high energy and rhythmic structure of sound signal which has a soothing effect, comfort human feeling and evokes the limbic and reward systems. However, less is known about how the neural interaction between brain rhythms and sound rhythms. Here we review the Quranic listening effects on human cognition from the neuronal correlates perspective. The Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) was used to review articles from no earlier than 2000 for scientific reports in the English language. Navigation terms used were 'Quran and cognition', 'Quran and memory' and 'Quran and attention'. Nine papers were fulfilled our criteria and assessed. We discussed issues related to the neural correlations regarding Quranic impacts on cognition. Three main factors contribute to the effects of the Quranic listening on human cognition: linguistic rhythms, physical aspect, and neuroscientific aspect. The neuroscientific aspect delineated the brain activation due to brainwave entrainment, event-related desynchronization and synaptic plasticity, which were associated with attention, memory and speech fluency. Quranic recitation contains rhythmical sound and physical characteristics that interact with the human's auditory system, producing changes in the brain oscillations and improving cognitive performance such as attention, memory and speech fluency. Instead of a conclusion, it is hoped that this review entices other researchers to explore further scientific and health benefits of the Holy Quran. [ABSTRACT FROM AUTHOR]

Twin studies yield valuable insights into the sources of variation, covariation and causation in human traits. The ABCD Study® (abcdstudy.org) was designed to take advantage of four universities known for their twin research, neuroimaging, population-based sampling, and expertise in genetic epidemiology so that representative twin studies could be performed. In this paper we use the twin data to: (i) provide initial estimates of heritability for the wide range of phenotypes assessed in the ABCD Study using a consistent direct variance estimation approach, assuring that both data and methodology are sound; and (ii) provide an online resource for researchers that can serve as a reference point for future behavior genetic studies of this publicly available dataset. Data were analyzed from 772 pairs of twins aged 9–10 years at study inception, with zygosity determined using genotypic data, recruited and assessed at four twin hub sites. The online tool provides twin correlations and both standardized and unstandardized estimates of additive genetic, and environmental variation for 14,500 continuously distributed phenotypic features, including: structural and functional neuroimaging, neurocognition, personality, psychopathology, substance use propensity, physical, and environmental trait variables. The estimates were obtained using an unconstrained variance approach, so they can be incorporated directly into meta-analyses without upwardly biasing aggregate estimates. The results indicated broad consistency with prior literature where available and provided novel estimates for phenotypes without prior twin studies or those assessed at different ages. Effects of site, self-identified race/ethnicity, age and sex were statistically controlled. Results from genetic modeling of all 53,172 continuous variables, including 38,672 functional MRI variables, will be accessible via the user-friendly open-access web interface we have established, and will be updated as new data are released from the ABCD Study. This paper provides an overview of the initial results from the twin study embedded within the ABCD Study, an introduction to the primary research domains in the ABCD study and twin methodology, and an evaluation of the initial findings with a focus on data quality and suitability for future behavior genetic studies using the ABCD dataset. The broad introductory material is provided in recognition of the multidisciplinary appeal of the ABCD Study. While this paper focuses on univariate analyses, we emphasize the opportunities for multivariate, developmental and causal analyses, as well as those evaluating heterogeneity by key moderators such as sex, demographic factors and genetic background. [ABSTRACT FROM AUTHOR]

Philosophy and science have always striven to make sense of the world, continuously influencing each other in the process. Their interplay paved the way for neurophilosophy, which harnesses neuroscientific insights to address traditionally philosophical questions. Given the rapid neuroscientific and technological advances in recent years, this paper argues that philosophers who wish to tackle intractable philosophical problems and influence public discourse and policies should engage in neuro‐techno‐philosophy. This novel type of inquiry describes the transdisciplinary endeavor of philosophers, (neuro)scientists, and others to anticipate the societal implications of the impending transformations of subjects and theorizers. While human enhancement is likely to irreversibly change what it means to be human, disruptive technologies might lead to the emergence of artificial intelligent agents and human‐machine hybrids. The paper predicts that neuro‐techno‐philosophy will be indispensable to understanding and engaging with these game‐changing innovations and thus play a pivotal role in the future of philosophy. [ABSTRACT FROM AUTHOR]

This paper discusses the cognitive connotation of deep mapping. It attempts to consider deep mapping as an interdisciplinary research field, a combination of neuroscience and cartography, and a con‐ nection between brain mapping and geographic mapping. Recent developments in neuroscience, specifically the discovery of spatial cells such as place cells and grid cells, have provided a neuroscientific foundation for studying deep mapping. This paper proposes a conceptual model of deep mapping to establish the relation‐ ship between spatial cell properties and map functions (such as map scale, map measurement, map projec‐ tion, and navigation), and to elucidate the neural mechanism of maps by analyzing an abundance of neuro‐ science literature. This study of deep mapping aims to increase understanding of the nature of maps, enrich cartographic theories, encourage the integration of cartography and artificial intelligence, and expand their applications. [ABSTRACT FROM AUTHOR]

This paper presents arguments and evidence from psychology and neuroscience supporting Lipton's 2004 claim that scientists create knowledge through an abductive process that he calls "Inference to the Best Explanation". The paper develops two conclusions. Conclusion 1 is that without conscious effort on our part, our brains use a process very similar to abduction as a powerful way of interpreting sensory information. To support Conclusion 1, evidence from psychology and neuroscience is presented that suggests that what we humans perceive through our senses is not reality, but rather, our 'brain's "best guess" of the causes of its sensory input. The implication of this best guessing is that our brains use a process very similar to abduction throughout our lives to inform us of what is happening in the world around us. In addition, an argument based on Darwinian evolution is presented claiming that our brains do an excellent job of interpreting sensory information from the outside world. (If they did not, we, as a species, could hardly have survived.) Combining these two claims leads to Conclusion 1. Building on Conclusion 1, Conclusion 2 is that Lipton and others are correct in claiming that scientists use abduction when creating scientific theories. Abduction must be strong, because Nature chose abduction for its own sensemaking purposes. This paper's contribution to knowledge is in pointing out that recent psychological and neuroscientific research has major implications for the philosophical world's confidence in the probable validity of abductive inference. The punchline is simple: Nature chose abduction! [ABSTRACT FROM AUTHOR]

Within geography, situated, contextualised, and contingent embodiment is a central theme in non‐representational theory, mobility theories, and feminist, affective, and emotional geographies. Despite this focus on the body, engagement with the strong embodiment hypotheses emerging out of neuroscience, psychology, and philosophy has been limited to only selective theoretical borrowings with practically no attention given to the burgeoning empirical evidence of the relationship between body, mind, and environment. While the neural turn within the discipline has been acknowledged, the flow of influence is found to be largely unidirectional, where cognitive science, and the neurogovernance that stems from it, pays scant attention to the contingencies of spatial lives. At the same time, geographers have been critical of the universalising tendencies and narrow empiricism of neuroscience. This paper advocates a rapprochement between geography and neuroscience following Barad's agential realism approach. Using the geographies of ageing as a case that has relevance across the discipline, cognitive embodiments are understood as body–mind–environment assemblages that continuously co‐constitute material difference, constraint, and possibility for bodies as they age. A focus on recent studies of embodied ageing that show cognition to be both embodied and inherently spatial is used to inspire a critical neuro‐geography that rethinks ageing in place, age‐friendly cities, and age‐related public health interventions, such as those for the COVID‐19 crisis. The paper aims to inspire further critical neuro‐geographies that think through body–mind–environment assemblages and material–discursive intra‐actions without separating mind/body or nature/culture. This paper sets out a critical neuro‐geography of ageing using Barad's agential realism approach. Body–mind–environment assemblages bring together literature from geographical gerontology, environmental gerontology, and the latest findings from studies of the embodied cognition of older adults. A contextualised critical neuro‐geography has the potential to inform public health policy and the design of spaces that prolong health and well‐being not just for older persons but at all stages of the life course. [ABSTRACT FROM AUTHOR]

The current paper aimed to analyze quantitatively the trends of four major schools of thought in scientific Psychology (neuroscience, cognitivism, behaviorism, psychoanalysis) and their intersections, covering the period from 1979 to 2020. We utilized a rigorous methodology across three distinct sources: Mainstream Psychology (MP), Highly Influential Journal (HIJ), and non-English papers (NEP). Our findings align with previous research in two aspects: psychoanalysis and behaviorism have significantly declined, cognitivism remains a prominent trend. However, we deviate from prior studies by recognizing that neuroscience may be considered the most influential trend and that trends exhibit less linearity than previously assumed. We also acknowledge the significance of NEP, which manifest an independent pattern as compared to the other sources and that may reveal what happens in the "periphery" of Psychology. It is noteworthy that NEP demonstrated a still lively contribution from psychoanalysis. Our study also highlights the insularity and lack of cross-fertilization among psychological subdisciplines, despite the widespread claims to the contrary. It eventually supports the inference that scientific Psychology is a non-paradigmatic or pre-paradigmatic discipline, pointing out the dominance of applied psychology and confuting the notion of overarching "grand theories". • Methodological Advancement : The paper introduces an improved methodology for analyzing trends in four major schools of thought in psychology. • Dominance of Neuroscience : Our findings suggest that neuroscience can be considered the most influential trend in scientific psychology. • Decline in Psychoanalysis and Behaviorism : Psychoanalysis and behaviorism exhibit significant declines in prominence. • Prominence of Cognitivism : Cognitivism continues to maintain a prominent position in psychology. • Stability and Dispersion : Trends in psychology exhibit more stability and dispersion than previously assumed. [ABSTRACT FROM AUTHOR]

The paper studies the rise of neuroscience in initial teacher education, paying attention to the relatively recent Australian Government (2023) report titled ‘Strong Beginnings’. In taking up a critical policy sociology lens, we focus on the first priority within the reforms, which is mandating brain science and the ‘brain and learning’ as core curriculum within initial teacher education. The reforms will embed standardised curriculum into initial teacher education and tie this curriculum to graduate teacher standards, bracketed within prescribed texts, ideologies and agendas. The reforms are positioned within the ‘what works’ movement, increasing accreditation and certain types of evidence, and the role and authority of intermediary organisations, including the Australian Institute for Teaching and School Leadership (AITSL). It promotes research that has been paid for by the think tank Centre for Independent Studies and aligned with the Australian Education Research Organisation and Education Endowment Foundation. In this paper, we endeavour to highlight how the singular and narrow focus on brain-based approaches is not only reductionist, but also potentially generative of oppressive technologies. The mandating of standardised curriculum and brain science undermines educators, including initial teacher educators, and bolsters private interests in education. The standardisation of core curriculum, which will be tied to accreditation processes and graduate teacher standards, is underpinned by a punitive-accountability based approach. Furthermore, whilst it is less visible, these reforms contain brain science tropes redolent of eugenics and deficit framings of low socio-economic status students. [ABSTRACT FROM AUTHOR]

Introduction: Individuals with bipolar disorder (BD) have higher rates of unhealthy lifestyles and risk for medical comorbidities Research currently suggests that dietary factors may play a role in the development of depression and anxiety. Therefore, nutritional approaches are potential strategies for the treatment of BD. The aim of this review is to summarize the available evidence on nutrition and BD. Materials and Methods: The paper was developed based on PRISMA 2020 guidelines. The search was conducted in Sep-2021 using PubMed and Cochrane Library, augmented by manually checked references lists. The search found 986 studies, of which 47 were included, combined with 13 from reference lists, totaling 60 studies. Results: There were 33 observational trials, of which 15 focused on fatty acids, 9 on micronutrients, 5 on specific foods, 4 on macro and micronutrients. The 27 interventional studies mainly focused on fatty acids, micronutrients and N-acetylcysteine (NAC). Discussion: Dietary intake or supplementation of unsaturated fatty acids, mainly Omega-3 seems to be associated with improved BD symptoms, along with seafood, folic acid and zinc. Studies found variable, mainly non-significant impacts of creatine, carnitine, vitamin D, inositol or NAC supplementation on BD. There are promising results associated with Coenzyme Q10 (Coq10) and probiotics. Taken together, these preliminary findings suggest that dietetic approaches might be included as part of BD treatment. Also considering the high risk of metabolic disorders in individuals with BD, they should be encouraged to choose healthy dietary lifestyles, including daily intake of fruits, vegetables, seafood and whole grains. [ABSTRACT FROM AUTHOR]

While research in specific academic disciplines has individually advanced knowledge and practice for promoting multiple aspects of health and well-being in children and adolescents, still missing is an understanding of the interconnectedness of many critical aspects of development and how to intentionally weave these factors to advance a more holistic approach. The need for a more holistic and inclusive approach to child and adolescent development is increasingly evident to promote long-term health and well-being as the overall percentage of children, adolescents, and adults who suffer from mental health disorders is increasing. To address this issue, our authorship team consists of researchers in the areas of developmental psychology, neuroscience, motor development, exercise science, and mental health. The collective ideas outlined in this paper are aligned to address the need to remove disciplinary-specific boundaries and elucidate synergistic linkages across multiple research domains that support holistic development and lifespan health and wellness. We propose a conceptual framework that comprehensively addresses the integration of physical, cognitive, psychological, social, and emotional domains of child and adolescent development. In addition, we also provide a holistic preventative approach that is aligned with a contemporary intervention structure (i.e., Multi-tiered Systems of Support) to promote, from a developmental perspective, positive trajectories of health and well-being across childhood and adolescence. [ABSTRACT FROM AUTHOR]

Interaction between text and reader is a prominent concern in stylistics. This paper focusses on interactions among stylistic processes and subconscious microcognitive processes that generate changes to narrative and interpretation during reading. Drawing on process philosophy and recent neuroscientific research, I articulate this dynamism through analysis of a brief narrative moment from each of The.PowerBook by Jeanette Winterson and Oryx and Crake by Margaret Atwood. I argue that high densities of stylistic and microcognitive perturbations lead to frequent narrative and interpretive changes in the two moments. The analyses reinforce portrayals of reading as intensely complex, dynamic and changeable. Complexity, dynamism and mutability also characterise the stylistic changes in the two narrative moments. This paper advocates greater attention to the role of volatile stylistic and cognitive microdynamics in shaping the reading of prose fiction. [ABSTRACT FROM AUTHOR]

The current set of papers in this special issue capture the range of viewpoints, scientific approaches, and populations needed to illuminate and tackle the issues of school achievement among vulnerable learners. This includes providing a framework for researchers to work from relevant policy findings, and literature reviews to small scale studies. The manuscripts also traverse different aspects of scientific inquiry – from data reported by federal and state programs, thus providing a "bird's eye view" of findings, to more granular neurobiological approaches. Across all papers is the clear theme of needing to shift from where we have been in order to establish a path forward for where we need to go to account for learners that have been relatively neglected in scientific studies. To break down barriers of inequity and increase our understanding of causes and consequences of vulnerable learners, there is a need to re‐think how we establish policies and allocate funds, as well as broadening our lens as we conduct scientific studies. Each piece in this special issue calls for the need to better understand these issues that vulnerable learners face to address inequities in our educational ecosystems. Together they provide a rich set of insights that have significant implications for science and practice. [ABSTRACT FROM AUTHOR]

Background: Circadian rhythms are important for all aspects of biology; virtually every aspect of biological function varies according to time of day. Although this is well known, variation across the day is also often ignored in the design and reporting of research. For this review, we analyzed the top 50 cited papers across 10 major domains of the biological sciences in the calendar year 2015. We repeated this analysis for the year 2019, hypothesizing that the awarding of a Nobel Prize in 2017 for achievements in the field of circadian biology would highlight the importance of circadian rhythms for scientists across many disciplines, and improve time-of-day reporting. Results: Our analyses of these 1000 empirical papers, however, revealed that most failed to include sufficient temporal details when describing experimental methods and that few systematic differences in time-of-day reporting existed between 2015 and 2019. Overall, only 6.1% of reports included time-of-day information about experimental measures and manipulations sufficient to permit replication. Conclusions: Circadian rhythms are a defining feature of biological systems, and knowing when in the circadian day these systems are evaluated is fundamentally important information. Failing to account for time of day hampers reproducibility across laboratories, complicates interpretation of results, and reduces the value of data based predominantly on nocturnal animals when extrapolating to diurnal humans. [ABSTRACT FROM AUTHOR]

This paper explores the connections between neurology andforesight in a cross-disciplinary discussion of how humans are able to imagine possible futures. Episodic foresight is identified as the primary neural mechanism that enables humans to construct images of the futures, providing explanatory power to further define and understand the processes that are invoked in futures studies andforesight activities. A top-levelframework for making explicit these processes is provided, identifying brain functions, openness to experience and temporal preferences as the primary processes that inform construction of new images. The paper provides a new perspective on the design of Futures Studies and Foresight processes and deepens our understanding of the nature of those processes. [ABSTRACT FROM AUTHOR]

This paper presents a scoping review of empirical studies on the incorporation of neuroscience into interventions for survivors of intimate partner violence. Using Arksey and O'Malley's framework for scoping reviews, 13 articles were collected for this review. The results showed an overall paucity of research incorporating neuroscience into intimate partner violence interventions. The majority of the studies were conducted in North America, split between various fields of medicine, nursing, psychology, and social work, and were all published between 2013 and 2020, showing the timeliness of this topic. A majority of the studies used quantitative design, with fewer using qualitative or mixed methods design. While some articles described fully integrating neuroscience into study design, most articles highlighted its significance and called for a further examination of the role of neuroscience in this field. This paper offers suggestions for the inclusion of neuroscience into social work practice with those impacted by intimate partner violence. [ABSTRACT FROM AUTHOR]

Over the past twenty-five years, or so, considerable advances have been made in understanding how learning occurs in the brain, though much of this research is still to make its way into education. One contribution it should be making is to furnish the philosophical critique of past and current theory with supporting empirical evidence. For example, motivation theory and its cognate expectancy-value theory continue to be taught in teacher education, even though their rational cognitivist foundations are philosophically shaky, and their shared representational notion of the mind is incompatible with what is now known about the learning brain. Furthermore, the central claim of motivation theory that children need to be motivated in order to learn is educationally problematic, not least because it incorporates a deficit model of the child as learner. This paper provides a philosophical and educational critique of motivation and expectancy-value theories and begins to sketch out an alternative dynamic systems (complexity-theory) approach, which argues that value is deeply embedded in the learning process, not only in the value students may or may not attach to their learning, but also neurobiologically. In opposition to motivation and its notion of the learner this paper argues that every student is equipped with a brain that is value-orientated towards learning and will learn, when nested in suitably affordant learning environments. In place of expectancy-value, we argue for value-embedded learning (VEL), which provides a non-reductive and biologically plausible account of how value and emotional salience are dynamically interwoven in the learning process. [ABSTRACT FROM AUTHOR]

This article explores the wide-ranging impact of inviting architecture students to increase conscious somatic awareness of their body and function, and the effects on their design process. This paper analyses the results of a Movement Awareness Intervention conducted prior to students undertaking their usual architectural design studio at the Queensland University of Technology, Brisbane, Australia. The impact of a global trend in extensive use of digital design tools has resulted in impacts on components in the architecture design process that appear to be slipping under the radar in architecture education and practice. This article addresses issues raised by Juhani Pallasmaa and Paolo Belardi, bolstered by neuroscience research by Harry Mallgrave and colleagues, to explore the impact of heightened conscious bodily awareness upon the cognitive design thinking processes required in the architecture. The case study research using mixed data collection methods on 39 participants draws upon surveys, hand notations, and audio interviews to track participant perceptions of the impact on their design process in action. Analysis of the data produced in this study addresses the concerns raised by theses seminal writers. This paper argues for new approaches to reconfiguring and recalibrating of emotional, cognitive, and physical stimulants that were once invisibly physically embedded in the traditional architectural design process to work with digital design technology. [ABSTRACT FROM AUTHOR]

Coupling "know thyself" with anatomical illustrations produced a spatialized understanding of the self, providing preconditions for "brainhood," the view that "we are our brains." To picture oneself, whether in anatomical illustrations or neuroimaging, is to know thyself. This paper traces the historical development of the conflation of self-image and self-knowledge. First, I explore the Renaissance development of linear perspective. Second, I look at how the soul becomes spatialized in psychology as a science of the soul and its relationship to anatomical dissection. Third, I investigate the innovation of anatomical illustration and how it intersects with Renaissance visual culture. Finally, I show how these varied developments manifest "know thyself" in anatomical illustrations and its significance for how we see ourselves. I conclude that, according to the ideology of the neuro, we still "know thyself" through pictures of the body, but with neuroimaging as the new anatomical illustration. [ABSTRACT FROM AUTHOR]

The aim of this mini-review paper is to present an overview of work on consciousness from a philosophical perspective, and to argue for the continuing relevance of philosophy in consciousness research. After introducing some major philosophical positions about the relationship between consciousness and matter, we argue that the problem of consciousness that many authors have focused on—the mind–body or mind-brain problem—is only one among several problems of consciousness. We illustrate the idea that the perplexities about consciousness go beyond its relationship with matter by discussing the relationship between consciousness, self-consciousness, and selfhood. This discussion also indicates ways in which philosophy and neuroscience can learn from each other. [ABSTRACT FROM AUTHOR]

Artificial intelligence (AI) is a field of computer science that deals with the simulation of human intelligence using machines so that such machines gain problem-solving and decision-making capabilities similar to that of the human brain. Neuroscience is the scientific study of the struczture and cognitive functions of the brain. Neuroscience and AI are mutually interrelated. These two fields help each other in their advancements. The theory of neuroscience has brought many distinct improvisations into the AI field. The biological neural network has led to the realization of complex deep neural network architectures that are used to develop versatile applications, such as text processing, speech recognition, object detection, etc. Additionally, neuroscience helps to validate the existing AI-based models. Reinforcement learning in humans and animals has inspired computer scientists to develop algorithms for reinforcement learning in artificial systems, which enables those systems to learn complex strategies without explicit instruction. Such learning helps in building complex applications, like robot-based surgery, autonomous vehicles, gaming applications, etc. In turn, with its ability to intelligently analyze complex data and extract hidden patterns, AI fits as a perfect choice for analyzing neuroscience data that are very complex. Large-scale AI-based simulations help neuroscientists test their hypotheses. Through an interface with the brain, an AI-based system can extract the brain signals and commands that are generated according to the signals. These commands are fed into devices, such as a robotic arm, which helps in the movement of paralyzed muscles or other human parts. AI has several use cases in analyzing neuroimaging data and reducing the workload of radiologists. The study of neuroscience helps in the early detection and diagnosis of neurological disorders. In the same way, AI can effectively be applied to the prediction and detection of neurological disorders. Thus, in this paper, a scoping review has been carried out on the mutual relationship between AI and neuroscience, emphasizing the convergence between AI and neuroscience in order to detect and predict various neurological disorders. [ABSTRACT FROM AUTHOR]

The quality of urban environment has a profound impact on the health of women – one of the core subjects of urban life. Based on neuroscientific methods, such as the Functional Near-Infrared Spectroscopy (fNIRS) and the E4 wristband and taking a road section in Guangzhou as an example, this paper explores the impact of urban environment on women’s emotional health from both objective physiological indicators and subjective psychological reports. The study finds that both environment type and travel sequence have a different impact on women’s emotions. The level of spatial openness, the sudden change of environment type, and the mixed traffic flow are the main factors contributing to fluctuations in female participants’ emotional arousal. Combined with the neuroscience experiment results and an in-depth interview, it proposes women-friendly planning and design strategies, such as improving vision permeability and creating reasonable transitional space, in order to provide a reference for the construction of healthy cities focusing on key populations. [ABSTRACT FROM AUTHOR]