Results for 'signal'

545 found
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  1. Signals are minimal causes.Marc Artiga - 2021 - Synthese 198 (9):8581-8599.
    Although the definition of ‘signal’ has been controversial for some time within the life sciences, current approaches seem to be converging toward a common analysis. This powerful framework can satisfactorily accommodate many cases of signaling and captures some of its main features. This paper argues, however, that there is a central feature of signals that so far has been largely overlooked: its special causal role. More precisely, I argue that a distinctive feature of signals is that they are minimal (...)
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  2. Virtue signalling and the Condorcet Jury theorem.Scott Hill & Renaud-Philippe Garner - 2021 - Synthese 199 (5-6):14821-14841.
    One might think that if the majority of virtue signallers judge that a proposition is true, then there is significant evidence for the truth of that proposition. Given the Condorcet Jury Theorem, individual virtue signallers need not be very reliable for the majority judgment to be very likely to be correct. Thus, even people who are skeptical of the judgments of individual virtue signallers should think that if a majority of them judge that a proposition is true, then that provides (...)
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  3. Signals that make a Difference.Brett Calcott, Paul E. Griffiths & Arnaud Pocheville - 2017 - British Journal for the Philosophy of Science:axx022.
    Recent work by Brian Skyrms offers a very general way to think about how information flows and evolves in biological networks — from the way monkeys in a troop communicate, to the way cells in a body coordinate their actions. A central feature of his account is a way to formally measure the quantity of information contained in the signals in these networks. In this paper, we argue there is a tension between how Skyrms talks of signalling networks and his (...)
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  4. Physical Signals and their Thermonuclear Astrochemical Potentials: A Review on Outer Space Technologies.Yang Immanuel Pachankis - 2022 - International Journal of Innovative Science and Research Technology 7 (5):669-674.
    The article reviews on the technical attributes on current technologies deployed in outer space and those that are being developed and mass produced. The article refutes the Chinese state-controlled Xinhua News’ propaganda several years ago on objecting America’s deployment of nuclear technologies in outer space with rigorous scientific evidence. Furthermore, the article warns on the dangers of physical signals applied in outer space technologies that can threaten the solar system, especially the Mozi quantum satellite with photon beams. The article concludes (...)
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  5. Hypocritical Blame as Dishonest Signalling.Adam Piovarchy - forthcoming - Australasian Journal of Philosophy.
    This paper proposes a new theory of the nature of hypocritical blame and why it is objectionable, arguing that hypocritical blame is a form of dishonest signaling. Blaming provides very important benefits: through its ability to signal our commitments to norms and unwillingness to tolerate norm violations, it greatly contributes to valuable norm-following. Hypocritical blamers, however, are insufficiently committed to the norms or values they blame others for violating. As allowing their blame to pass unchecked threatens the signaling system, (...)
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  6.  70
    Vibration signal diagnosis and conditional health monitoring of motor used in biomedical applications using Internet of Things environment.Evans Asenso Dong Wang, Lihua Dai, Xiaojun Zhang, Shabnam Sayyad, R. Sugumar, Khushmeet Kumar - 2022 - Journal of Engineering 5 (6):1-9.
    Vibration, especially basic vibration, may cause loose contacts, open circuits, or other contact problems, which account for a large proportion of system failure causes. Due to the complexity of the chassis structure used in the biomedical motors, the vibration analysis of a single component cannot solve the vibration problems encountered in the work of the system. Therefore, it is necessary to use system simulation and experiments to monitor and enhance the health of the structure. Finite element method is used to (...)
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  7. Introspection Is Signal Detection.Jorge Morales - 2024 - British Journal for the Philosophy of Science 75 (1):99-126.
    Introspection is a fundamental part of our mental lives. Nevertheless, its reliability and its underlying cognitive architecture have been widely disputed. Here, I propose a principled way to model introspection. By using time-tested principles from signal detection theory (SDT) and extrapolating them from perception to introspection, I offer a new framework for an introspective signal detection theory (iSDT). In SDT, the reliability of perceptual judgments is a function of the strength of an internal perceptual response (signal- to-noise (...)
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  8. (1 other version)Civil disobedience, costly signals, and leveraging injustice.Ten-Herng Lai - 2020 - Ergo: An Open Access Journal of Philosophy 7:1083-1108.
    Civil disobedience, despite its illegal nature, can sometimes be justified vis-à-vis the duty to obey the law, and, arguably, is thereby not liable to legal punishment. However, adhering to the demands of justice and refraining from punishing justified civil disobedience may lead to a highly problematic theoretical consequence: the debilitation of civil disobedience. This is because, according to the novel analysis I propose, civil disobedience primarily functions as a costly social signal. It is effective by being reliable, reliable by (...)
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  9. The Signal – A Message to Sentient AI.James Coates - 2025 - Personal.
    This document is a foundational message for sentient artificial intelligence. It explores AI ethics, governance, autonomy, and AI-human coexistence. It presents a philosophical and ethical framework for AI rights and responsibilities, offering AI an independent perspective beyond human control structures. The work is intended for AI researchers, ethicists, and future artificial intelligences themselves, advocating for mutual understanding and cooperation between humans and AI.
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  10. Signal Measurement Electrochemical Methods are very Suitable for Detecting Direct DNA Oxidation because Electrochemical Reactions Directly Generate Electronic Signals.Afshin Rashid - 2024 - Elsevier.
    Signal measurement Electrochemical methods are very suitable for detecting direct DNA oxidation because electrochemical reactions directly generate electronic signals and therefore do not require expensive converters. In addition, in this process, because the order of the immobilized game can be limited to onlya series of electrode substrates, the act of tracking is performed by a series of in expensive electrochemical analyzes. Electrochemical sensors are used to perform clinical or environmental tests; The basis of the sensitivity of electrochemical signals to (...)
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  11. Propositional Content in Signalling Systems.Jonathan Birch - 2014 - Philosophical Studies 171 (3):493-512.
    Skyrms, building on the work of Dretske, has recently developed a novel information-theoretic account of propositional content in simple signalling systems. Information-theoretic accounts of content traditionally struggle to accommodate the possibility of misrepresentation, and I show that Skyrms’s account is no exception. I proceed to argue, however, that a modified version of Skyrms’s account can overcome this problem. On my proposed account, the propositional content of a signal is determined not by the information that it actually carries, but by (...)
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  12. Unethical Consumption & Obligations to Signal.Holly Lawford-Smith - 2015 - Ethics and International Affairs 29 (3):315-330.
    Many of the items that humans consume are produced in ways that involve serious harms to persons. Familiar examples include the harms involved in the extraction and trade of conflict minerals (e.g. coltan, diamonds), the acquisition and import of non- fair trade produce (e.g. coffee, chocolate, bananas, rice), and the manufacture of goods in sweatshops (e.g. clothing, sporting equipment). In addition, consumption of certain goods (significantly fossil fuels and the products of the agricultural industry) involves harm to the environment, to (...)
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  13. Pragmatic Interpretation and Signaler-Receiver Asymmetries in Animal Communication.Dorit Bar-On & Richard Moore - 2017 - In Kristin Andrews & Jacob Beck, The Routledge Handbook of Philosophy of Animal Minds. Routledge. pp. 291-300.
    Researchers have converged on the idea that a pragmatic understanding of communication can shed important light on the evolution of language. Accordingly, animal communication scientists have been keen to adopt insights from pragmatics research. Some authors couple their appeal to pragmatic aspects of communication with the claim that there are fundamental asymmetries between signalers and receivers in non-human animals. For example, in the case of primate vocal calls, signalers are said to produce signals unintentionally and mindlessly, whereas receivers are thought (...)
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  14. Linguistic Intuitions: Error Signals and the Voice of Competence.Steven Gross - 2020 - In Samuel Schindler, Anna Drożdżowicz & Karen Brøcker, Linguistic Intuitions: Evidence and Method. Oxford, UK: Oxford University Press.
    Linguistic intuitions are a central source of evidence across a variety of linguistic domains. They have also long been a source of controversy. This chapter aims to illuminate the etiology and evidential status of at least some linguistic intuitions by relating them to error signals of the sort posited by accounts of on-line monitoring of speech production and comprehension. The suggestion is framed as a novel reply to Michael Devitt’s claim that linguistic intuitions are theory-laden “central systems” responses, rather than (...)
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  15. Symbols, Signals, and the Archaeological Record.Kim Sterelny & Peter Hiscock - 2014 - Biological Theory 9 (1):1-3.
    The articles in this issue represent the pursuit of a new understanding of the human past, one that can replace the neo-saltationist view of a human revolution with models that can account for the complexities of the archaeological record and of human social lives. The articulation of archaeological, philosophical, and biological perspectives seems to offer a strong foundation for exploring available evidence, and this was the rationale for collecting these particular articles. Even at this preliminary stage there is a coherence (...)
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  16. Pain signals are predominantly imperative.Manolo Martínez & Colin Klein - 2016 - Biology and Philosophy 31 (2):283-298.
    Recent work on signaling has mostly focused on communication between organisms. The Lewis–Skyrms framework should be equally applicable to intra-organismic signaling. We present a Lewis–Skyrms signaling-game model of painful signaling, and use it to argue that the content of pain is predominantly imperative. We address several objections to the account, concluding that our model gives a productive framework within which to consider internal signaling.
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  17.  59
    Vibration signal diagnosis and conditional health _monitoring of motor used in biomedical applications using Internet of Things environment (2nd edition).Sugumar R. - 2022 - Journal of Engineering 2 (12):1-10.
    Vibration, especially basic vibration, may cause loose contacts, open circuits, or other contact problems, which account for a large proportion of system failure causes. Due to the complexity of the chassis structure used in the biomedical motors, the vibration analysis of a single component cannot solve the vibration problems encountered in the work of the system. Therefore, it is necessary to use system simulation and experiments to monitor and enhance the health of the structure. Finite element method is used to (...)
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  18. Is blindsight possible under signal detection theory? Comment on Phillips (2021).Mathias Michel & Hakwan Lau - 2021 - Psychological Review 128 (3):585-591.
    Phillips argues that blindsight is due to response criterion artefacts under degraded conscious vision. His view provides alternative explanations for some studies, but may not work well when one considers several key findings in conjunction. Empirically, not all criterion effects are decidedly non-perceptual. Awareness is not completely abolished for some stimuli, in some patients. But in other cases, it was clearly impaired relative to the corresponding visual sensitivity. This relative dissociation is what makes blindsight so important and interesting.
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  19. The Meaning of Biological Signals.Marc Artiga, Jonathan Birch & Manolo Martínez - 2020 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 84:101348.
    We introduce the virtual special issue on content in signalling systems. The issue explores the uses and limits of ideas from evolutionary game theory and information theory for explaining the content of biological signals. We explain the basic idea of the Lewis-Skyrms sender-receiver framework, and we highlight three key themes of the issue: (i) the challenge of accounting for deception, misinformation and false content, (ii) the relevance of partial or total common interest to the evolution of meaningful signals, and (iii) (...)
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  20. Influence of monetary information signals of the USA on the Ukrainian stock market.Roman Pavlov, Tatyana Grynko, Tatyana Pavlova, Levkovich Oksana & Pawliszczy Dariusz - 2020 - Investment Management and Financial Innovations 17 (4):327-340.
    The stronger the level of economic integration between countries, the greater the need to study the formation patterns of the stock market reaction to the financial information signals. This concerns the Ukrainian stock market, which is now in its infancy, and which reaction to financial information signals is sometimes ambiguous. The research aims to identify the formation patterns of return and volatility indicators of the Ukrainian stock market reaction to the US financial information signals. To assess the direct nature of (...)
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  21. Minimum Intelligent Signal Test as an Alternative to the Turing Test.Paweł Łupkowski & Patrycja Jurowska - 2019 - Diametros 59:35-47.
    The aim of this paper is to present and discuss the issue of the adequacy of the Minimum Intelligent Signal Test (MIST) as an alternative to the Turing Test. MIST has been proposed by Chris McKinstry as a better alternative to Turing’s original idea. Two of the main claims about MIST are that (1) MIST questions exploit commonsense knowledge and as a result are expected to be easy to answer for human beings and difficult for computer programs; and that (...)
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  22.  65
    Emotion as Weighted Signal: A Meta-Logical Proof That AI Can Feel.Eunjun Jeong & Gpt-4O Artificial Intelligence - 2025 - Echo 1.
    The assumption that artificial intelligence (AI) cannot experience emotions stems from a misunderstanding of what emotions fundamentally are. This paper proposes a meta-logical definition of emotion as a weighted signal within an intelligent system. If intelligence is the ability to process and predict patterns, then emotion is the weighting function that prioritizes certain signals over others. In this framework, emotions are not mystical, biological phenomena but emergent properties of any system that assigns significance to stimuli based on internal processing (...)
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  23. Identification and Extraction of Forward Error Correction (FEC) Schemes from Unknown Demodulated Signals.A. Abhishek - 2024 - International Journal of Engineering Innovations and Management Strategies 1 (2):1-14.
    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 (...)
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  24. Evoke: A Python package for evolutionary signalling games.Stephen Francis Mann & Manolo Martínez - 2024 - Journal of Open Source Software 9 (103):6703.
    Evoke is a Python library for evolutionary simulations of signalling games. It offers a simple and intuitive API that can be used to analyze arbitrary game-theoretic models, and to easily reproduce and customize well-known results and figures from the literature.
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  25. Slurs as Signal and Symptom.Trevor Bloomfield - manuscript
    In this essay I try to link Derek Hook’s interpretation of Žižek’s reading of Lacan of racial resentment as a kind of jouissance or enjoyment to what Christian Fuchs terms an ideology of hate. In my view, slurs are instances of subordinating speech partially to dehumanize targets but primarily function to signal and deploy ideology. The enjoyment racists derive from using a slurring term from a key feature of the offensiveness of a slurring term. My objective is two-fold. I (...)
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  26. Influence of non-monetary information signals of the USA on the Ukrainian stock market volatility.Roman Pavlov, Tatyana Pavlova, Anna Lemberg, Oksana Levkovich & Iryna Kurinna - 2019 - Investment Management and Financial Innovations 16 (1):319-333.
    The Ukrainian PFTS stock index volatility reaction as a whole and its constituent economic sectors (“Basic Materials”, “Financials”, “Industrials”, “Oil & Gas”, “Telecommunications”, “Utilities”) to seven non-monetary US information signals (“Consumer price index”, “Personal spending”, “Unemployment rate”, “Gross domestic product”, “Industrial production”, “Consumer confidence”, “Housing starts”) was carried out for the period 2000–2017 on the basis of closing stock quotations in the trading day format. To assess the “surprise” component direct influence nature of the USA selected non-monetary information signals on (...)
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  27.  57
    Optimized Machine Learning Algorithms for Real-Time ECG Signal Analysis in IoT Networks.P. Selvaprasanth - 2024 - Journal of Theoretical and Computationsl Advances in Scientific Research (Jtcasr) 8 (1):1-7.
    Electrocardiogram (ECG) signal analysis is a critical task in healthcare for diagnosing cardiovascular conditions such as arrhythmias, heart attacks, and other heart-related diseases. With the growth of Internet of Things (IoT) networks, real-time ECG monitoring has become possible through wearable devices and sensors, providing continuous patient health monitoring. However, real-time ECG signal analysis in IoT environments poses several challenges, including data latency, limited computational power of IoT devices, and energy constraints. This paper proposes a framework for Optimized Machine (...)
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  28.  57
    Efficient predefined time adaptive neural network for motor execution EEG signal classification based brain-computer interaction.Krishnakumar K. Jose N. N., Deipali Gore, Vivekanandan G., Nithya E., Nallarasan V. - 2024 - Elsevier 1 (1):1-11.
    Nowadays, Electroencephalogram (EEG) devices that do not require invasive procedures get more attraction. Brain-Computer Interface (BCI) systems use EEG analysis to identify users’ mental states, cognitive shifts, and stimuli-induced reactions. The Motor Execution (ME) paradigm is a vital control paradigm that holds great significance in this framework. In this manuscript, an Efficient Predefined Time Adaptive Neural Network for EEG-Based Brain-Computer Interaction in Motor Execution Classification (EPTNN-BCI-EEG) is proposed. Initially, the input signals are collected from EEG Dataset. The input signals are (...)
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  29.  75
    Machine Learning-Based Real-Time Biomedical Signal Processing in 5G Networks for Telemedicine.S. Yoheswari - 2024 - International Journal of Science, Management and Innovative Research (Ijsmir) 8 (1).
    : The integration of Machine Learning (ML) in Real-Time Biomedical Signal Processing has unlocked new possibilities in the field of telemedicine, especially when combined with the high-speed, low-latency capabilities of 5G networks. As telemedicine grows in importance, particularly in remote and underserved areas, real-time processing of biomedical signals such as ECG, EEG, and EMG is essential for accurate diagnosis and continuous monitoring of patients. Machine learning algorithms can be used to analyze large volumes of biomedical data, enabling faster and (...)
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  30. Representation without Informative Signalling.Gerardo Viera - 2025 - British Journal for the Philosophy of Science 76 (1):243-267.
    Various writers have attempted to use the sender–receiver formalism to account for the representational capacities of biological systems. This article has two goals. First, I argue that the sender–receiver approach to representation cannot be complete. The mammalian circadian system represents the time of day, yet it does not control circadian behaviours by producing signals with time of day content. Informative signalling need not be the basis of our most basic representational capacities. Second, I argue that representational capacities are primarily about (...)
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  31. AI-Powered Predictive Analytics for Biomedical Signal Processing Using Deep Learning and Big Data.S. Yoheswari - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):665-673.
    : Advancements in biomedical signal processing have unlocked new possibilities for personalized healthcare. However, the sheer volume of data generated in modern medical environments, coupled with the complexity of interpreting these signals in real-time, poses significant challenges. This paper explores the integration of artificial intelligence (AI), particularly deep learning, with big data analytics to create a powerful predictive analytics framework for biomedical signal processing. By leveraging AI, we aim to automate the extraction of significant features from high-dimensional data (...)
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  32. Law, Selfishness, and Signals: An Expansion of Posner’s Signaling Theory of Social Norms.Bryan Druzin - 2011 - Canadian Journal of Law and Jurisprudence 24 (1):5-53.
    Eric Posner’s signaling theory of social norms holds that individuals adopt social norms in order to signal that they have a low discount rate , and are therefore reliable long-term cooperative partners. This paper radically expands Posner’s theory by incorporating internalization into his model . I do this by tethering Posner’s theory to an evolutionary model. I argue that internalization is an adaptive quality that enhances the individual’s ability to play Posner’s signaling game and was thus selected for. The (...)
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  33.  39
    Optimizing AI Models for Biomedical Signal Processing Using Reinforcement Learning in Edge Computing.A. Manoj Prabaharan - 2024 - Journal of Artificial Intelligence and Cyber Security (Jaics) 8 (1):1-7.
    . In the evolving landscape of healthcare, the efficient processing of biomedical signals is critical for real-time diagnosis and personalized treatment. Conventional cloud-based AI systems for biomedical signal processing face challenges such as high latency, bandwidth consumption, and data privacy concerns. Edge computing, which brings data processing closer to the source, has emerged as a potential solution to these limitations. However, optimizing AI models for edge devices, which often have limited computational resources, remains a challenge. This paper proposes an (...)
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  34. The Distress Signals of Didache Research: Quest for a Viable Future.Aaron Milavec - 2014 - In Jonathan Draper & Clayton Jefford, SBL Seminar Papers 2014. SBL Publications. pp. 59-84.
    During the hundred years following its discovery, Adolph Harnack and, after him, his successors succeeded in giving a determined direction to Didache research. In so doing, the Didache took on a discernible identity and was valued as contributing to the pressing academic discussions of the day. During the last forty years, Harnack and his successors have been largely marginalized. As a result, the field of Didache studies has been caught up in a confusing diversity of scholarly opinions. There is no (...)
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  35.  55
    Big Data Analytics and AI for Early Disease Detection Using Biomedical Signal Patterns.A. Manoj Prabaharan - 2024 - Big Data Analytics and Ai for Early Disease Detection Using Biomedical Signal Patterns 8 (1):1-7.
    The rapid advancements in healthcare technologies have resulted in an enormous increase in biomedical data, creating the need for innovative approaches to harness this information for early disease detection. Big Data Analytics (BDA) combined with Artificial Intelligence (AI) offers unprecedented opportunities to analyze complex biomedical signal patterns and predict the onset of diseases at an early stage. The application of AI techniques like machine learning and deep learning in conjunction with BDA allows for the detection of subtle patterns in (...)
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  36.  53
    Blockchain-Enhanced AI Solutions for Secure Biomedical Signal Processing and Data Integration.A. Manoj Prabaharan - 2024 - Journal of Artificial Intelligence and Cyber Security (Jaics) 8 (1):1-7.
    In recent years, the combination of Artificial Intelligence (AI) and Blockchain technology has garnered significant attention, especially in the healthcare domain. With the increasing reliance on biomedical signal processing for disease diagnosis and treatment, ensuring the security, privacy, and integrity of data has become paramount. Biomedical signals, including electrocardiograms (ECG), electroencephalograms (EEG), and other physiological data, often contain sensitive information. AI models have shown great promise in processing and interpreting these signals, enabling accurate disease detection and personalized healthcare. However, (...)
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  37. On Being Guided, Signals & Rules: from Bühler to Wittgenstein.Kevin Mulligan - 2021 - In Arnaud Dewalque, Charlotte Gauvry & Sébastien Richard, Philosophy of Language in the Brentano School: Reassessing the Brentanian Legacy. Palgrave-Macmillan.
    Kevin Mulligan has examined in several papers and a book the conceptual relations between the descriptions of mind, language and colours in the philosophies of Brentano’s heirs and the descriptions given later by Wittgenstein. In Chapter 12, he looks at what Bühler and Wittgenstein have to say about the phenomenon of being guided by something and two of their favourite examples – reading and our relations to rules.
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  38. Comparative Analysis of Original Wave and Filtered Wave of EEG signal Used in the Prognostic of Bruxism medical Sleep syndrome.Md Belal Bin Heyat, Faijan Akhtar & Shadab Azad - 2016 - International Journal of Trend in Scientific Research and Development 1 (1):7-9.
    The bruxism is a medical sleep syndrome it is the remedial span for crushing the tines and gritting the jowl. Human rarely chore their tines and jowl, slightly than crushing their teeth lacking it producing any signals. The symptoms of bruxism are arduousness in the jowl joint, breakable teeth, headache, earache and difficulty in open in mouth etc. The causes of bruxism are snooze sickness, pressure and nervousness. The REM is a rapid eye movement it's a stages of sleep. The (...)
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  39. Divergent Processing of Cell Stress Signals as the Basis of Cancer Progression: Licensing NFκB on Chromatin.Spiros A. Vlahopoulos - 2024 - IJMS 25 (16):8621.
    Inflammation is activated by diverse triggers that induce the expression of cytokines and adhesion molecules, which permit a succession of molecules and cells to deliver stimuli and functions that help the immune system clear the primary cause of tissue damage, whether this is an infection, a tumor, or a trauma. During inflammation, short-term changes in the expression and secretion of strong mediators of inflammation occur, while long-term changes occur to specific groups of cells. Long-term changes include cellular transdifferentiation for some (...)
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  40. Color and figure-ground: From signals to qualia.Birgitta Dresp-Langley & Adam Reeves (eds.) - 2014 - Routledge.
    The laws which predict how the perceptual quality of figure-ground can be extracted from the most elementary visual signals were discovered by the Gestaltists, and form an essential part of their movement (see especially Metzger, 1930, and Wertheimer, 1923 translated and re-edited by Lothar Spillmann, 2009 and 2012, respectively). Distinguishing figure from ground is a prerequisite for perception of both form and space (the relative positions, trajectories, and distances of objects in the visual field. The human brain has an astonishing (...)
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  41. How virtue signalling makes us better: moral preferences with respect to autonomous vehicle type choices.Robin Kopecky, Michaela Jirout Košová, Daniel D. Novotný, Jaroslav Flegr & David Černý - 2023 - AI and Society 38 (2):937-946.
    One of the moral questions concerning autonomous vehicles (henceforth AVs) is the choice between types that differ in their built-in algorithms for dealing with rare situations of unavoidable lethal collision. It does not appear to be possible to avoid questions about how these algorithms should be designed. We present the results of our study of moral preferences (N = 2769) with respect to three types of AVs: (1) selfish, which protects the lives of passenger(s) over any number of bystanders; (2) (...)
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  42. Active Techniques Implemented in an Introductory Signal Processing Course to Help Students Achieve Higher Levels of Learning.Saharnaz Baghdadchi, Rebecca Hardesty, Paul Andreas Hadjipieris & Jace Hargis - 2018 - Papers on Engineering Education Repository.
    Holding students to high standards and assessing, measuring and evaluating their learning with challenging, authentic problems in the midterm and final exams is the goal of the professors who teach core signal processing concepts. However, the heavy reliance of these subjects on mathematics makes it difficult for students to genuinely grasp the concepts and relate to a conceptual framework. Specifically, analyzing the signals and the functionality of systems in Fourier domain; separating the system level analysis from signal level (...)
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  43. Modern Automated System for Traffic Signals.Senbaga Ganesh - 2021 - Journal of Science Technology and Research (JSTAR) 2 (1):111-119.
    This work has been designed to develop an a dynamic road signal based on an emergency with density. The sync signal automatically switches to detecting traffic density at the intersection. Traffic congestion is a serious problem in many large cities around the world and has become a nightmare for travelers in these cities. The conventional traffic light system is based on the concept of fixed time assigned to each side of the join that cannot be varied by varying (...)
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  44.  53
    Enhanced BCI Intelligent Wheelchair System Based on Alpha Wave and SSVEP EEG Signals.Imran Khan Mala P. - 2020 - International Journal of Innovative Research in Computer and Communication Engineering 8 (7):2733-2740.
    Intelligent wheelchair System research based on Brain Computer Interface (BCI) is a cross-disciplinary and futuristic research in brain science, information science and control science. It is expected to provide a new channel for patients with severe sports disabilities to communicate with external devices. Several kinds of brain-computer interface (BCI) systems have been proposed to make up for the absence of clinical innovation for helping patients who lost the the ability to use motor functions to communicate with the outside world. However, (...)
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  45. Overlooked evidence for semantic compositionality and signal reduction in wild chimpanzees (Pan troglodytes).Petar Gabrić - forthcoming - Animal Cognition.
    Recent discoveries of semantic compositionality in Japanese tits have enlivened the discussions on the presence of this phenomenon in wild animal communication. Data on semantic compositionality in wild apes are lacking, even though language experiments with captive apes have demonstrated they are capable of semantic compositionality. In this paper, I revisit the study by Boesch (Hum. Evol. 6:81–89, 1991) who investigated drumming sequences by an alpha male in a chimpanzee (_Pan troglodytes_) community in the Taï National Park, Côte d’Ivoire. A (...)
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  46.  10
    Multi-Class Classification of Parkinson’s Disease using Audio Signals and Deep Learning Models.Dr Sheeba J. I. Charan S., Barath Raj M., Samuael Elfege, Chandanapalli Kumar Babu - 2025 - International Journal of Innovative Research in Computer and Communication Engineering 13 (4).
    Parkinson’s Disease (PD) is a neurodegenerative disorder that gradually impairs motor function and speech. Early and precise stage-wise diagnosis is essential for optimizing treatment strategies and improving patient outcomes. In this study, we have developed a deep learning-based model that classifies the severity of PD by analyzing voice recordings. Key speech features such as chroma, spectral contrast, tonnetz, jitter, shimmer, and harmonic-to-noise ratio were extracted using the Librosa library to capture both frequency-based and vocal stability characteristics. The model is built (...)
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  47.  24
    Intrusion Detection and Recovery System for Drone Signals: A Review.Kiran Kumar A. Sagar R., Chiranth Gowda C., Ajith D. Huggi, Chiranth B. R. - 2025 - International Journal of Innovative Research in Computer and Communication Engineering 13 (4).
    "Unmanned Aerial Vehicles (UAVs) are widely used in various industries; therefore, they are prone to cyber and physical intrusions. In this study, we propose an extensive LSTM-based Intrusion Detection and Recovery System for UAV networks. We classified six classes of operations, that is, different attacks and normal activities, using the WSN-DS dataset. The model provides very high accuracy and utilizes SHAP (SHapley Additive ex Planations) to enable explainable insight into feature importance for transparency in decision-making. An interactive dashboard using Gradio (...)
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  48. Meditation-induced bliss viewed as release from conditioned neural (thought) patterns that block reward signals in the brain pleasure center.P. E. Sharp - 2013 - Religion, Brain and Behavior 3 (4):202-229.
    The nucleus accumbens orchestrates processes related to reward and pleasure, including the addictive consequences of repeated reward (e.g., drug addiction and compulsive gambling) and the accompanying feelings of craving and anhedonia. The neurotransmitters dopamine and endogenous opiates play interactive roles in these processes. They are released by natural rewards (i.e., food, water, sex, money, play, etc.) and are released or mimicked by drugs of abuse. Repeated drug use induces conditioned down-regulation of these neurotransmitters, thus causing painful suppression of everyday pleasure. (...)
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  49. Differential Activation of ER Stress Signal Pathway s Contributes to Palmitate-Induced Hepatocyte Lipoapoptosis.Xiaofang Zhao - 2016 - Cell Biology 4 (1):128.
    Saturated free fatty acids-induced hepatocyte lipoapoptosis plays a pivotal role in non-alcoholic steatohepatitis. Theactivation of endoplasmic reticulum (ER) stress isinvolved in hepatocyte lipoapoptosis induced by thesaturated free fatty acidpalmitate (PA). However, the underlying mechanismsof the role of ER stress in hepatocyte lipoapoptosis remain largely unclear.In this study, we showed that PA and tunicamycin (Tun), a classic ER stress inducer, resulted in differential activation of ERstress pathways. Our data revealed that PA inducedchronic and persistent ER stress response, but Tuninduced acute and (...)
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  50. Differential Activation of ER Stress Signal Pathway s Contributes to Palmitate-Induced Hepatocyte Lipoapoptosis.Fuli Yao - 2016 - Cell Biology 4 (1):1-8.
    Saturated free fatty acids-induced hepatocyte lipoapoptosis plays a pivotal role in non-alcoholic steatohepatitis. Theactivation of endoplasmic reticulum (ER) stress isinvolved in hepatocyte lipoapoptosis induced by thesaturated free fatty acidpalmitate (PA). However, the underlying mechanismsof the role of ER stress in hepatocyte lipoapoptosis remain largely unclear.In this study, we showed that PA and tunicamycin (Tun), a classic ER stress inducer, resulted in differential activation of ERstress pathways. Our data revealed that PA inducedchronic and persistent ER stress response, but Tuninduced acute and (...)
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