In crossmodal identification, a subject token identifies an item perceived in one sensory modality with an item perceived in another sensory modality. Does crossmodal identification always occur in cognition, or does crossmodal identification sometimes take place in perception? This paper argues that crossmodal identification occurs in cognition, and not in perception. Nevertheless, multisensory perception is not unalive to crossmodal identity. Experimental evidence demonstrates that perception is differentially sensitive to the identity of individuals presented to distinct senses. (...) Such sensitivity enhances recognition and improves action. This approach relies on distinguishing crossmodal identification from perceiving crossmodal identity. Perception registers crossmodal identity, but crossmodal identification as such belongs to thought. (shrink)

Many philosophers take experience to be an essential aspect of perceptual justification. I argue against a specific variety of such an experientialist view, namely, the Looks View of perceptual justification, according to which our visual beliefs are mediately justified by beliefs about the way things look. I describe three types of cases that put pressure on the idea that perceptual justification is always related to looks-related reasons: unsophisticated cognizers, multimodal identification, and amodal completion. I then provide a tentative (...) diagnosis of what goes wrong in the Looks View: it ascribes a specific epistemic role to beliefs about looks that is actually fulfilled by subpersonal perceptual processes. (shrink)

The predictive coding (PC) theory of attention identifies attention with the optimization of the precision weighting of prediction error. Here we provide some challenges for this identification. On the one hand, the precision weighting of prediction error is too broad a phenomenon to be identified with attention because such weighting plays a central role in multimodal integration. Cases of crossmodal illusions such as the rubber hand illusion and the McGurk effect involve the differential precision weighting of prediction error, (...) yet attention does not shift as one would predict. On the other hand, the precision weighting of prediction error is too narrow a phenomenon to be identified with attention, because it cannot accommodate the full range of attentional phenomena. We review criticisms that PC cannot account for volitional attention and affect-biased attention, and we propose that it may not be able to account for feature-based and intellectual attention. (shrink)

Traditional medical Artificial Intelligence models, approved for clinical use, restrict themselves to single-modal data e.g. images only, limiting their applicability in the complex, multimodal environment of medical diagnosis and treatment. Multimodal Transformer Models in healthcare can effectively process and interpret diverse data forms such as text, images, and structured data. They have demonstrated impressive performance on standard benchmarks like USLME question banks and continue to improve with scale. However, the adoption of these advanced AI models is not without (...) challenges. While multimodal deep learning models like Transformers offer promising advancements in healthcare, their integration requires careful consideration of the accompanying ethical and environmental challenges. (shrink)

This research article examines the potential of multimodal techniques in promoting inclusive practices in the English language classroom, delving into the multidisciplinary fields of English Language Teaching (ELT) and inclusive education. This study intends to investigate how multimodal resources, such as visual aids, technology, and creative activities, may be effectively integrated to meet the various learning needs of students using a pedagogical lens. This paper examines the theoretical underpinnings and practical implications of using multimodal approaches in ELT (...) settings, shedding light on their potential to promote inclusivity, engagement, and language acquisition among learners with diverse abilities and backgrounds. It does this through a thorough literature review and analysis of pedagogical frameworks. (shrink)

The aim of this paper is to argue that our experience of artworks is normally multimodal. It is the result of perceptual processing in more than one sense modality. In other words, multimodal experience of art is not the exception; it is the rule. I use the example of music in order to demonstrate the various ways in which the visual sense modality influences the auditory processing of music and conclude that this should make us look more closely (...) at our practices of engaging with artworks. (shrink)

It is common to characterize pain with touch-related terms, like ‘cutting’, ‘pressing’, ‘sharp’, and ‘pulsing’, or temperature-related terms, like ‘hot’ or ‘burning’. This suggests that many pains are phenomenally multimodal because they are experienced as having some tactile-like or thermal-like character. The goal of this chapter is to investigate the structure of phenomenally multimodal pain experiences. It is argued that the usual accounts of multimodal structure proposed in investigations regarding exteroceptive experiences cannot be plausibly applied to (...) class='Hi'>multimodal experiences of pain. Instead, an alternative framework is proposed which characterizes the structure of tactile-like and thermal-like pains by referring to the notion of crossmodal correspondences. (shrink)

This paper presents an analytical framework for analyzing how multimodal resources of emotion expression are semiotically materialized in discursive interactions specific to political discourse. Interested in how political personae are emotionally constructed through multimodal meaning-making practices, our analysis model assumes an interdisciplinary perspective, which integrates facial expression analysis – using FaceReader™ software –, the theory of emotional arcs and bodily actions (hand gestures) analysis that express emotions, in the analytical framework of multimodality. The results show how the (...) class='Hi'>multimodal choices that political actors make during discursive interactions allow them to build their political brand and make connections with the audience on an emotional level. (shrink)

From the perspective of distributed cognition I will stress how abduction is essentially multimodal, in that both data and hypotheses can have a full range of verbal and sensory representations, involving words, sights, images, smells, etc., but also kinesthetic – related to the ability to sense the position and location and orientation and movement of the body and its parts – and motor experiences and other feelings such as pain, and thus all sensory modalities. The presence of kinesthetic and (...) motor aspects demonstrates that abductive reasoning can be manipulative. We can also see, in this regard, how implicit factors take part in the abductive procedure, which consequently acquires the character of a kind of “thinking through doing”. This paper further describes 1) the fact that hypotheses in science can be built through different cognitive mediators and so they can also model the same cognitive aspect in different ways; how they can be carriers/ producers of knowledge in a multimodal way; 2) the problem of the possible non-explanatory and instrumental nature of abductive reasoning and the analysis of the consequences for induction; 3) the role of manipulative abduction in building new evidence/ experiments and how they trigger smart inductive inferences. (shrink)

The analysis of multimodal argumentation in advertising is a crucial and problematic area of research. While its importance is growing in a time characterized by images and pictorial messages, the methods used for interpreting and reconstructing the structure of arguments expressed through verbal and visual means capture only isolated dimensions of this complex phenomenon. This paper intends to propose and illustrate a methodology for the reconstruction and analysis of “double-mode” arguments in advertisements, combining the instruments developed in social semiotics, (...) pragmatics, and argumentation theory. An advertisement is processed through a five-step path. The analysis of its context, text genre, and images leads to a first representation of the messages that it encodes both pictorially and verbally (step 1). These first semantic representations are further enriched by including their polyphonic articulations and presuppositions (step 2), their explicatures (step 3), and their dialogical functions and illocutionary forces (step 4). These pragmatic steps retrieve the commitment structure of the ad, which allows a further argument analysis conducted through argumentation schemes (step 5). (shrink)

The increase in claim sophistication in both the insurance and legal domains is a result of an increase in stokes and heterogeneity of data needed to assess the claim validity. Originally, this task was performed by some sort of subjectivity assessments and graphical rule sets, which is very slow and may be inherently erroneous due to its purely manual nature. Hence, with progressivity in multimodal learning, specifically in AI, there is now a unique chance of solving these challenges through (...) the use of text data, which may include policies, reports and images, which may include accident images, evidence images, videos such as surveillance, cam videos among others. However, existing AI-based solutions usually address only one of the modalities, which makes it difficult to evaluate an integrated situation. This has led to the need for systems that will integrate information from all these modalities and come up with an accurate, efficient, and transparent processing system. Indeed, this paper seeks to discuss the use of Multimodal generative AI to address this need as one of the most recent approaches that rely on high-performing models that can process and integrate text, image, and video data. The proposed system combines these modalities to ensure that the system captures relevant data from each data type and combines all in a way that provides more comprehensive and enriched decision support. An initial system was designed and empirically tested against current claim adjudication techniques and was found to yield substantial enhancements in all utilization rates, throughput and main rationale for the claim decisions. The findings shown in the study stress the capability of multimodal generative AI for revolutionizing the present approaches of claims analysis and developing more efficient, accurate, and capable responses to various real-life conditions. This integration of technologies is an unprecedented advance towards advancing functional processes in the insurance and legal industries. (shrink)

What is the correct procedure for determining the contents of perception? Philosophers tackling this question increasingly rely on empirically-oriented procedures in order to reach an answer. I argue that this constitutes an improvement over the armchair methodology constitutive of phenomenal contrast cases, but that there is a crucial respect in which current empirical procedures remain limited: they are unimodal in nature, wrongly treating the senses as isolatable faculties. I thus have two aims: first, to motivate a reorientation of the admissible (...) contents debate into a multimodal framework, charting its various significances. The second is to explore whether any experimental studies of multimodal perception support a so-called Liberal (or ‘high-level’ or ‘rich’) account of perception’s admissible contents. I conclude that the McGurk effect and the ventriloquist effect are both explicable without the postulation of high-level content, but that at least one multimodal experimental paradigm may necessitate such content: the rubber hand illusion. One upshot of this argument is that Conservatives who claim that the Liberal view intolerably broadens the scope of perceptual illusions, particularly from the perspective of perceptual psychology, should pursue other arguments against that view. (shrink)

With a Call for Essays, the special issue Multimodality sought contributions that accept not only the material but also the body-bound dependence of media perception and understanding. To this end, contributions were included that shed light on both the structural and signifying potential of artistic works through multimodal analysis. Particular attention was paid to contributions that clarify how the structural features - the modes - of the arts, their perception, and their signifying potential in terms of content are interrelated (...) and how they are to be understood in communicative and thus socioculturally relevant terms. Thus, in addition to neuroscientific contributions, those from cultural anthropology, art history, image and art studies, and literary studies were included. -/- Articles -/- 8 Martina Sauer and Christiane Wagner - Introduction -/- 11 Giada Lombardi and Giuseppe Di Cesare - From Neuroscience to Art: The Role of ‘Vitality Forms’ in the Investigation of Multimodality -/- 25 Martina Sauer - Abstract - Affective – Multimodal: Interaction between Medium and Perception of Moving Images from the Viewpoint of Cassirer’s, Langer’s and Krois’ Embodiment Theories -/- 49 Göran Sonesson - The Secrets of Plastic Language Revealed: Multimodality, Polysemiosis, and Iconicity -/- 71 Natalia Igl - Making Sense of the Material: Multisensory Reader Involvement in Contemporary Multimodal Novels -/- 87 J. Philippe Thompson - Art is All: Proust’s Life Lessons Through Perception and Art -/- 107 Hans Dieter Huber - Philippe Parreno and the Exhibition as a Multimodal Aesthetic Experience -/- 135 Jörg U. Lensing - The Performing Human Being in a Media Interaction Space: Multi- and intermodal productions by the Düsseldorf Theater der Klänge (Theatre of Sounds) . (shrink)

Beginning with Freud’s treatment of identification as an ambivalent process, we explore identification’s polarization between narcissistic idealization and melancholic division. While narcissistic identification can be seen as a strategy adopted by the ego to avoid the educational development of its drives and to maintain itself either in whole or in part in an infantile state, melancholic identification activates a tension between the ego-ideal and the real ego at the expense of the latter. After discussing the ambivalence (...) of identification, we review Freud’s discussion of mass formations as group identifications, arguing that the work of facilitating a productive sublimation of the drives cannot be reduced to a strengthening of the artificial masses represented by social institutions such as the church and the educational system. Instead, the difference between mass formations allowing for collective sublimation and those suffering from narcissistic or melancholic blockages must be found in the productive qualities of the mass itself. In closing, we outline a few ways in which we might begin to understand the political contribution of masses to the maturation of human drives. (shrink)

The idea that appearances provide justifications for beliefs—the principle of phenomenal conservatism—is self-evidently true. In the case of cognitive penetration, however, it seems that certain irrational etiologies of a belief may influence the epistemic quality of that belief. Susanna Siegel argues that these etiologies lead to ‘epistemic downgrade.’ Instead of providing us with a decisive objection, cognitive penetration calls for us to clarify our epistemic framework by understanding the formative parts of appearances. In doing so, the two different but inseparable (...) ideas of sensation and intellection provide us with a basis of our appearances. These appearances, in turn, provide us with the objective evidence needed to test our judgements. Thus, the extra-sensory concepts of intellectual identification and the appearances they help form become an epistemic groundwork. (shrink)

This is an excerpt of a report that highlights and explores five questions which arose from The Unity of Consciousness and Sensory Integration conference at Brown University in November of 2011. This portion of the report explores the question: Are some of the basic units of consciousness multimodal?

This is an excerpt from a report that highlights and explores five questions which arose from the workshop on perceptual learning and perceptual recognition at the University of Toronto, Mississauga on May 10th and 11th, 2012. This excerpt explores the question: What are the origins of multimodal associations?

Mango is an economically significant fruit crop cultivated in various tropical and subtropical regions around the world. However, the productivity and quality of mangoes can be severely impacted by a range of pests. This research paper introduces an innovative approach to identify mango pests using an expert system. The expert system integrates knowledge from entomology and plants to provide accurate identification of common mango pests. The paper outlines the development and implementation of the expert system using Clips shell, which (...) utilizes rule-based techniques to analyze symptoms associated with mango pests. By inputting observed symptoms, such as leaf spots, fruit damage, leaf mild and stem cankers the system can accurately identify the specific pest species affecting the mango tree. For each pest, the paper discusses their specific symptoms and Favorable conditions that affect the mango plant. By understanding the identification and symptoms of these pests, mango growers and agricultural professionals can implement appropriate pest management strategies to mitigate the economic losses caused by these insects. The research presented in this paper aims to contribute to the body of knowledge on mango pest management, facilitating sustainable mango production and ensuring the availability of high-quality mangoes in global markets. (shrink)

A major part of philosophical work is engagement with argumentative texts. Engaging with an argumentative text involves correctly identifying the arguments presented in this text. In the context of teaching philosophy in school, the difficulty of correctly identifying arguments in philosophical texts is often underestimated. In this paper, I focus on one specific problem with argument identification that has been neglected in philosophy didactics thus far: the problem that there are many non-argumentative phenomena in an argumentative text that are (...) easily misidentified as expressing (part of) an argument. It is easy to fall for such phenomena if one is not aware of this problem, thereby misinterpreting the author’s intentions. This paper aims to present and discuss such phenomena, as well as to provide guidelines on how to help students recognize them. (shrink)

Mental imagery is early perceptual processing that is not triggered by corresponding sensory stimulation in the relevant sense modality. Multimodal mental imagery is early perceptual processing that is triggered by sensory stimulation in a different sense modality. For example, when early visual or tactile processing is triggered by auditory sensory stimulation, this amounts to multimodal mental imagery. Pulling together philosophy, psychology and neuroscience, I will argue in this paper that multimodal mental imagery plays a crucial role in (...) our engagement with musical works. Engagement with musical works is normally a multimodal phenomenon, where we get input from a number of sense modalities. But even if we screen out any input that is not auditory, multimodal mental imagery will still play an important role that musicians and composers often actively rely on. (shrink)

The aim of this paper is to propose a new approach in the form of multimodality as a semiotic method that can be used by marketers and semioticians to induce online flow, a psychological state, on a brand website. First, we refer to multimodality as a semiotic analysis that can be used for a better optimization of semiotic resource sets in meaning-making, and we distinguish it from another similar concept: multimedia. Second, after a critical literature review, we address the flow (...) construct - a state of mind sometimes experienced by people who are deeply involved and immersed in some event, object or activity. Previous quantitative studies show a correlation between online flow experience and other variables such as design, content, sound and layout that are suggested to be its antecedents. In our study, these flow antecedents are viewed as sets of signs or modes that can be orchestrated in order to create different levels of perceived challenge for brand website users. We consider that multimodality can be used for a better optimization of these various meanings as expressed by modes that are "essentially different in nature" (Bateman, 2008, p.54). Also, we refer to the online marketing outcomes of the online flow experience, in order to outline its importance and its implications in the online environment. The main conclusion of our paper is that multimodality can be used by scholars and practitioners as a premise to induce online flow on a brand website, by optimizing the sets of signs or modes. Originality – our contribution consists of an interdisciplinary approach. We use concepts from semiotics, positive psychology, and online marketing for a better understanding of how marketers and semioticians can positively influence online customer behaviour. (shrink)

The increasing prevalence of mental health issues, particularly stress, has necessitated the development of data-driven, interpretable machine learning models for early detection and intervention. This study leverages multimodal data, including activity levels, perceived stress scores (PSS), and event counts, to predict stress levels among individuals. A series of models, including Logistic Regression, Random Forest, Gradient Boosting, and Neural Networks, were evaluated for their predictive performance. Results demonstrated that ensemble models, particularly Random Forest and Gradient Boosting, performed significantly better compared (...) to Logistic Regression. Random Forest achieved an accuracy of 73%, while Gradient Boosting delivered a balanced precision-recall tradeoff with an accuracy of 72%. Gradient Boosting outperformed in identifying high-stress instances, achieving a recall of 70%, making it the most reliable model for stress prediction. Explainable AI (XAI), which refers to the ability of machine learning models to provide transparent and understandable explanations for their predictions, was employed in this study using SHAP (SHapley Additive exPlanations). SHAP values revealed that Perceived Stress Score (PSS) had the most significant impact on predictions, followed by event count and activity inference. Higher PSS scores strongly correlated with high-stress predictions, while increased event counts and activity levels were associated with lower stress. These findings underscore the importance of incorporating behavioral patterns in stress diagnostics and highlight the utility of explainable models in improving transparency, trust, and usability for clinical decision-making. This research establishes a robust foundation for deploying interpretable machine learning systems to support mental health diagnostics and enhance clinician decision support. (shrink)

Journal bearings play an important role on many rotating machines placed on industrial environments, especially in steam turbines of thermoelectric power plants. Babbitt damage (BD) and excessive clearance (C) are usual faults of steam turbine journal bearings. This paper is focused on achieving an effective identification of these faults through an intelligent recognition approach. The work was carried out through the processing of real data obtained from an industrial environment. In this work, a feature selection procedure was applied in (...) order to choose the features more suitable to identify the faults. This feature selection procedure was performed through the computation of typical testors, which allows working with both quantitative and qualitative features. The classification tasks were carried out by using Nearest Neighbors, Voting Algorithm, Naïve Associative Classifier and Assisted Classification for Imbalance Data techniques. Several performance measures were computed and used in order to assess the classification effectiveness. The achieved results (e.g., six performance measures were above 0.998) showed the convenience of applying pattern recognition techniques to the automatic identification of BD and C. (shrink)

1. Historically, our sense of smell has been deemed informationally impoverished, not very discerning, subjective, ineffable, and generally of little value (for an overview, see e.g., Barwich, 2020...

In this paper, we propose an account of metaphor identification on the basis of contextual coherence. In doing so, we build on previous work by Nicholas Asher and Alex Lascarides that appeals to rhetorical relations in order to explain discourse structure and the constraints on the interpretation of metaphor that follow from it. Applying this general idea to our problem, we will show that rhetorical relations are sometimes insufficient and sometimes inadequate for deciding whether a given utterance is a (...) case of metaphor. They are insufficient, since rhetorical relations fall short at times of providing a basis for disambiguating between literal and metaphorical interpretations. In such cases, contextual information other than previous discourse needs to enter the picture. To this effect, we bring the idea of external consistency into play. Beyond that, though, we will argue that rhetorical relations are sometimes inadequate to account for coherence, if conceived as relations among sentences only. The reason is that extra-linguistic elements of the situation in which the sentence is uttered may be crucial for getting at the preferred interpretation. To account for these cases, we allow rhetorical relations to connect both with previous discourse and with extra-linguistic situations. In our final refinement of the notion of contextual coherence, we forfeit any appeal to rhetorical relations in favour of Questions Under Discussion (QUD). We defend the view that this account does not only explain the same sort of cases. What is more, it solves the issue of metaphor identification in impoverished contexts. (shrink)

Harry Frankfurt has published On Inequality, but this is not the first time he has written about this subject. Frankfurt already criticized a rationalistic notion of equality on other occasions (Frankfurt, 1987 & 1997). In these works he says a rationalistic notion of equality cannot fit in with our belief that agents possess their own volitional necessities, which shape volitional structures of the human will. However, Frankfurt's explanatory connection between volitions, love and identification make it difficult to talk about (...) personal freedom. (shrink)

Everyday media consumption leaves no doubt that the perception of moving images from various media is characterized by experience and understanding. Corresponding research in this field has shown that the stimulus patterns flooding in on us are not only processed mentally, but also bodily. Building on this, the following study argues that incoming stimuli are processed not only visually, but multimodally, with all senses, and moreover affectively. The classical binding of a sensory organ to a medium, on whose delimitation the (...) common understanding of multimodality is based, is thus abolished. Can arguments for this assumption be found? Building on the research of cultural anthropologist Ernst Cassirer and his successors, the two American philosophers Susanne K. Langer and John M. Krois, and supported by research from the life sciences in which, in parallel, the arts also play an important role in understanding image formation, as in the work of Heinz Werner and, following on from this, in the more recent research of the child psychologist Daniel N. Stern in collaboration with mirror neuron research by the group of neuroscientists around Giacomo Rizzolatti in Parma, justifications for this will be provided. What the multimodal processing of film images is concretely based on will finally be made clear by means of an exemplary analysis of a video film by the Swiss artist Pipilotti Rist. It aims to prove, that the prerequisites for the thesis can only lie in the fact, that both the modes of perception (visual, tactile, auditory, olfactory, gustatory) as well as the medially conditioned modes of image formation are based on non-discursive, formal-abstract structures that are also processed affectively. At the same time, the analysis thus shows how the selection and composition of the vital experienced forms can provide information about the socio-culturally shaped self-image of the producer and the viewer. (shrink)

Based on the notion of a trope, this paper gives a novel analysis of identificational sentences such as 'this is Mary','this is a beautiful woman', 'this looks like Mary', or 'this is the same lump of clay, but not the same statue as that'.

This article explores a form of ethics and spirituality based on the nearly universal but often undeveloped human capacity for identifying self with others and with non-personal values. It begins with commonplace non-moral identification experiences, then describes identification with others in ethical and spiritual unions. Freud’s psychological emphasis on identification is linked with ethics and spirituality, though Freud would have objected. Robert S. Hartman’s three kinds of goodness—systemic, extrinsic, and intrinsic—are applied to abundant ethical and spiritual living (...) through identification. Intrinsic identification with intrinsic values is the highest moral ideal; intrinsic identification with ultimate reality and with goodness in all its forms is the highest spiritual ideal. (shrink)

Bird species identification plays a vital role in biodiversity conservation and ecological studies, offering insights into habitat health and species distribution. Traditional methods for identifying bird species are time-intensive and prone to human error, necessitating automated solutions. This project, Bird Species Identification Using Deep Learning, proposes an advanced system leveraging the power of deep learning to accurately identify bird species from images. The system utilizes a convolutional neural network (CNN), renowned for its proficiency in image classification tasks. A (...) dataset comprising diverse bird species images is preprocessed and augmented to enhance model robustness and generalization. The model architecture is designed to extract intricate features, enabling accurate identification even in challenging scenarios such as varying lighting conditions, occlusions, or similar species appearances. The model's performance is evaluated using metrics such as accuracy, precision, recall, and F1-score, ensuring comprehensive validation. Results indicate significant accuracy improvements over traditional machine learning approaches, demonstrating the potential of deep learning in species identification. This project holds promise for applications in wildlife monitoring, ecological research, and educational tools, promoting awareness and conservation efforts. Future work may include integrating the system into mobile applications or deploying it for real-time bird species identification in field conditions. (shrink)

Recent advances in neuroimaging technologies have rendered multimodal analysis of operators’ cognitive processes in complex task settings and environments increasingly more practical. In this exploratory study, we utilized optical brain imaging and mobile eye tracking technologies to investigate the behavioral and neurophysiological differences among expert and novice operators while they operated a human-machine interface in normal and adverse conditions. In congruence with related work, we observed that experts tended to have lower prefrontal oxygenation and exhibit gaze patterns that are (...) better aligned with the optimal task sequence with shorter fixation durations as compared to novices. These trends reached statistical significance only in the adverse condition where the operators were prompted with an unexpected error message. Comparisons between hemodynamic and gaze measures before and after the error message indicated that experts’ neurophysiological response to the error involved a systematic increase in bilateral dorsolateral prefrontal cortex (dlPFC) activity accompanied with an increase in fixation durations, which suggests a shift in their attentional state, possibly from routine process execution to problem detection and resolution. The novices’ response was not as strong as that of experts, including a slight increase only in the left dlPFC with a decreasing trend in fixation durations, which is indicative of visual search behavior for possible cues to make sense of the unanticipated situation. A linear discriminant analysis model capitalizing on the covariance structure among hemodynamic and eye movement measures could distinguish experts from novices with 91% accuracy. Despite the small sample size, the performance of the linear discriminant analysis combining eye fixation and dorsolateral oxygenation measures before and after an unexpected event suggests that multimodal approaches may be fruitful for distinguishing novice and expert performance in similar neuroergonomic applications in the field. (shrink)

Recent advances in neuroimaging technologies have rendered multimodal analysis of operators’ cognitive processes in complex task settings and environments increasingly more practical. In this exploratory study, we utilized optical brain imaging and mobile eye tracking technologies to investigate the behavioral and neurophysiological differences among expert and novice operators while they operated a human-machine interface in normal and adverse conditions. In congruence with related work, we observed that experts tended to have lower prefrontal oxygenation and exhibit gaze patterns that are (...) better aligned with the optimal task sequence with shorter fixation durations as compared to novices. These trends reached statistical significance only in the adverse condition where the operators were prompted with an unexpected error message. Comparisons between hemodynamic and gaze measures before and after the error message indicated that experts’ neurophysiological response to the error involved a systematic increase in bilateral dorsolateral prefrontal cortex (dlPFC) activity accompanied with an increase in fixation durations, which suggests a shift in their attentional state, possibly from routine process execution to problem detection and resolution. The novices’ response was not as strong as that of experts, including a slight increase only in the left dlPFC with a decreasing trend in fixation durations, which is indicative of visual search behavior for possible cues to make sense of the unanticipated situation. A linear discriminant analysis model capitalizing on the covariance structure among hemodynamic and eye movement measures could distinguish experts from novices with 91% accuracy. Despite the small sample size, the performance of the linear discriminant analysis combining eye fixation and dorsolateral oxygenation measures before and after an unexpected event suggests that multimodal approaches may be fruitful for distinguishing novice and expert performance in similar neuroergonomic applications in the field. (shrink)

The project focuses on the development of a tool for identifying and extracting Forward Error Correction (FEC) schemes from unknown demodulated signals. FEC is a vital communication technique that ensures error-free data transmission without the need for retransmission, particularly in satellite communications, digital broadcasting, and deepspace applications. The proposed solution involves using Python to preprocess signals, detect FEC schemes, and then extract the specific coding parameters. Different FEC schemes such as BCH, Convolutional Codes, Turbo Codes, and LDPC codes are explored (...) for their unique characteristics and error correction capabilities. The tool aims to automate the detection and extraction of FEC schemes, thus improving the accuracy and efficiency of signal processing in communication systems. (shrink)

Logical analysis of the applicability of nominals (which are introduced by hybrid logic) in the formal descriptions of the world (within modern knowledge representation and semantics-based systems) is very important because nominals, as second sorts of propositional symbols, can support logical identification of the described world at specific [temporal and/or spacial] states. This paper will focus on answering the philosophical-logical question of ‘how a fundamental world description in description logic (DL) and a nominal can be related to each other?’. (...) Based on my assumption that nominals can support more adequate identification of the world in DL, this paper will deal with the concept of ‘world identification’. Accordingly, based on a logical-terminological analysis of nominals, the paper will analyse hybridised fundamental world descriptions. The research will finally reach the idea that we can have a hybrid description logic based on the analysed concepts. (shrink)

A popular way for irrealists to explain co-identification—thinking and talking ‘about the same thing’ when there is no such thing—is by appeal to causal, historical or informational chains, networks or practices. Recently, however, this approach has come under attack by philosophers who contend that it cannot provide necessary and/or sufficient conditions for co-identification. In this paper I defend the approach against these objections. My claim is not that the appeal to such practices can provide necessary and sufficient conditions (...) for co-identification, but rather that it is a mistake to seek these in the first place. -/- . (shrink)

How do we ensure agents formulating legal statements are not systematically in error? In this paper I assume that the success of legal statements follows from the fact that propositions expressed by legal statements adequately represent legal reality. I argue that the content of legal statements hinges implicetly on the sources of law and methods in which we attribute meaning to these sources. In this regard, I identify the primary obstacle to the success of actions that consist of asserting legal (...) statements as a systematic failure to refer to the proper method of interpretation by the agents formulating these statements. The paper explores several solutions to this challenge, focusing on the solution explaining the success in referring to the proper method of interpretation in virtue of meta-interpretive considerations. Subsequently, the paper discusses a challenge to this solution following from the claim that there are many different theories of meta-interpretation, and there is no fact (neither natural, nor conventional or intentional, anchored in the collective consciousness of society), determining that one of them is more accurate than the other ones. Given all the intricacies, this study focuses on exploring a coherent framework for understanding how different interpretive methods and meta-interpretative theories can be evaluated and applied in legal practice. It seeks to articulate a model that accommodates the diversity of interpretations while striving for a reasoned consensus on how legal texts should be understood and applied. (shrink)

It has been repeatedly suggested that synesthesia is intricately connected with unusual ways of exercising one’s mental imagery, although it is not always entirely clear what the exact connection is. My aim is to show that all forms of synesthesia are forms of (often very different kinds of) mental imagery and, further, if we consider synesthesia to be a form of mental imagery, we get significant explanatory benefits, especially concerning less central cases of synesthesia where the inducer is not sensory (...) stimulation. (shrink)

The essay offers an original view on the issues of identity and self-identification. Self-identification is being studied in the process of its implementation in different time flows. Two directions of thought (to the past and the future) which are defined according to Hameroff»s hypothesis as the bi-directional time flows, constitute the concept of a dream. Using this concept, the author explains how self-identification is realized in two time flows. The strategy of self-identification is explained using a (...) stochastic algorithm which balances the present and the future states at the same stage. The Kalman filter is used as the stochastic algorithm. (shrink)

This study has proven that the economic system is determined by various components, in particular, it includes the real sector of the economy, which is formed on mega-, macro, meso-, micro-and nano-levels. In addition, it was proved that the nano-level is determined by the activities of individuals whose economic activity begins with the birth and attitude of parents, attending various educational and upbringing institutions, and studying at university. A separate segment of the nano-level of the economic system is the baby (...) industry responsible for the production of goods and services for children and future parents. All these aspects are indicators of the development of the baby economy. Such an economic category as the baby economy was separated and defined. The study uses the following methods: analysis, synthesis, structural analysis, systemic approach, observation, comparison, multifactor regression. These methods made it possible to achieve the results, which involve isolation of the baby economy as a component of nanoeconomy and definition of such components of the baby economic segment of nanoeconomy as a family or household economy, the baby industry, the economy of the educational process and upbringing. For this purpose, the value-institutional approach was applied. In addition, multifactorial analysis of the impact of indicators of the baby economy development on the population of a country with a transitive economy with incomes below the subsistence minimum was performed. This analysis identified a direct but minor relationship between these phenomena, which demonstrates the need to intensify and create a policy for the baby economy in similar states. The theoretical significance of the obtained results is determined by the introduction of a new economic category of "the baby economy" for the formation of a nano economic component within socio-economic systems. (shrink)

Agricultural productivity is something on which Indian economy highly depends. This is the one of the reasons that disease detection in plants plays a vital role in agriculture field, as having disease in plants are unavoidable. If proper care is not taken in this area, then it causes serious effects on plants and due to which the overall agriculture yield will be affected. For instance, a disease named little leaf disease is a hazardous disease found in pine trees in United (...) States. Detection of plant disease through some automatic technique is beneficial as it reduces a large work of monitoring in big farms of crops, and at very early stage itself if detected properly by identifying the symptoms of diseases can result in increased productivity. This paper presents an algorithm for image segmentation technique which is used for automatic detection and classification of plant leaf diseases. It also covers diseases classification techniques that can be used for plant leaf disease detection. Image segmentation is one of the method which will segment the raw images in to two or more clusters and the programmed algorithm will work fine in analyzing these clusters for disease classification and prediction of type of disease that a plant leaf gets affected. (shrink)

Harry Frankfurt had insightfully pointed out that an agent acts freely when he acts in accord with the mental states with which he identifies. The concept of identification rightly captures the ownership condition (something being one’s really own), which plays a significant role in the issues of freedom and moral responsibility. For Frankfurt, identification consists of one’s forming second-order volitions, endorsing first-order desires, and issuing in his actions wholeheartedly. An agent not only wants to φ but also fully (...) embraces his desire to φ (and φ). Frankfurt’s official theory above encounters some serious problems, especially since it is believed that his concept of wholehearted identification is too strong to be necessary for freedom. In this paper, I propose that we can uncouple identification from wholeheartedness and thus get two different senses of identification: weak identification and strong identification. Then, I argue that this distinction does a better job than Frankfurt’s official theory. On the one hand, weak identification is enough for ownership and freedom and thus more promising than strong identification; on the other hand, this distinction has an attractive implication that it fits well with our intuition about the degree of freedom and responsibility. (shrink)

The project is aimed at an arduous task of precise identification of medicinal plant species with the problem being pertinent in those industries that include botany, Ayurveda, pharmacology, and biomedical research. Most of the traditional identification methods are quite serious challenges for users, researchers, and students because they are usually time-consuming, knowledge-intensive, and prone to human errors. Our proposal develops an advanced web-based application for this process by utilizing state-of-the-art methods in image processing and machine learning. We will (...) create a platform where users can upload or take pictures of plant specimens and obtain accurate identifications and comprehensive medical information by using machine learning algorithms with plant species image datasets. This application is done in a way that the interface would be user-friendly and favor research, identification, and learning, especially for Ayurvedic practitioners, biomedical specialists, botanists, and students. Therefore, our project is aimed at developing an exhaustive and reliable solution for medicinal plant identification and study by overcoming the deficiencies of existing systems, such as a small dataset, poor variable quality, and lack of complete medicinal information. (shrink)

This was abstracted from a lengthier article titled "A Genuine Monotheism for Christians, Muslims, Jews, and All" originally published in the JOURNAL OF ECUMENICAL STUDIES, 52:575-586. Thanks to Paul Chase at Penn Press Journals for permission to use it here. This article proposes an understanding of the identity of God and Jesus that might be attractive and even plausible to persons of all monotheistic faiths. The basic thesis is that Jesus (as both "fully God and fully human") is best understood (...) to mean that Jesus fully identified with God experientially, psychologically, evaluationally, morally, and spiritually; and God fully identified with Jesus in similar ways. Read the article to get the full explanation of this. Might the founders and saints of non-Christian religions also have also thus identified with God, and God with them? (shrink)

The mobility experience is an important life event for international students, and achieving successful psychological and sociocultural adaptation is crucial for this experience to be positive. Through a three-wave longitudinal study among international students enrolled at universities in Spain, Portugal, and Poland (n = 233), we examined the relationships between social media use, social identification, and (sociocultural and psychological) adaptation across time. Results of cross lagged panel modeling (CLPM) showed that social media contact with home nationals predicted greater (...) class='Hi'>identification with this group. Social media contact with host country nationals predicted poorer adaptation. Social media contact with other international students did not show any effects, while identification with this group predicted better adaptation. Our results point to the dynamic nature of the adaptation process, showing that the role of social media use and identification targeted at different social groups may play different roles than was previously found in cross-sectional research. (shrink)

This project aims to develop an intelligent system that can accurately identify and classify medicinal herbs using advanced machine learning techniques and image processing. Medicinal herbs have been a cornerstone of traditional medicine for centuries, and the ability to identify them with precision can play a significant role in modern healthcare, research, and conservation efforts. This system utilizes deep learning models to analyze images of plants and herbs, enabling the identification of species based on their physical features such as (...) shape, size, color, and texture of leaves, flowers, and stems. The system incorporates Convolutional Neural Networks (CNNs), a powerful technique in image recognition, to achieve high accuracy in classifying different medicinal plants. The dataset used for training includes a wide variety of herbs known for their medicinal properties, ensuring the system's versatility and reliability. The user-friendly interface allows users to upload images of plants, after which the system processes the image, compares it with the trained dataset, and provides a possible match along with information about the herb's medicinal uses, benefits, and any potential side effects. This project can serve as an essential tool for herbalists, researchers, and the general public to access accurate information about medicinal plants. (shrink)

Is it true that there is an analogy between modes of creation and such of perception? Respective to the cultural anthropological research of Ernst Cassirer, Susanne K. Langer and John M. Krois and by the analysis of a tape of the Swiss video-artist Pipilotti Rist this initial thesis of Formal Aesthetics shall be supported. - I - -/- Lässt sich die Behauptung stützen, dass zwischen Gestaltungsweisen und Wahrnehmungsweisen eine Analogie besteht? Aufbauend auf den kulturanthropologischen Forschungen von Ernst Cassirer, Susanne K. (...) Langer und John M. Krois sowie der Analyse eines Tapes der Schweizer Videokünstlerin Pipilotti Rist gilt es diese ursprünglich von der formalen Ästhetik aufgeworfene These zu untermauern. (shrink)

Purpose of this article is to describe the development of a pedagogical research approach entitled reflective documentation. Context for this inquiry is an Erasmus+ project entitled Pedagogy of Imaginative Dialogues (PIMDI). The practical examples are drawn from the PIMDI project. For fuller appreciation of the multimodal nature of reflective work and reflective documentation, we have created an exposition on Research Catalogue portal. As the outcome of this artistic pedagogical research project, we propose that reflective documentation can be seen in (...) connection with artistic research and visual ethnography as an open-ended process, without the traditional requirement to show what really happened. (shrink)