Multiple cortical areas of the human brain motor system interact coherently in the low frequency range (< 0.1 Hz), even in the absence of explicit tasks. Following stroke, cortical interactions are functionally disturbed. How these interactions are affected and how the functional organization is regained from rehabilitative treatments as people begin to recover motor behaviors has not been systematically studied. We recorded the intrinsic functional magnetic resonance imaging (fMRI) signals from 30 participants: 17 young healthy controls and 13 aged stroke (...) survivors. Stroke participants underwent mental practice (MP) or both mental practice and physical therapy (MP + PT) within 14-51 days following stroke. We investigated the network activity of five core areas in the motor-execution network, consisting of the left primary motor area (LM1), the right primary motor area (RM1), the left pre-motor cortex (LPMC), the right pre-motor cortex (RPMC) and the supplementary motor area (SMA). We discovered that (i) the network activity dominated in the frequency range 0.06 Hz – 0.08 Hz for all the regions, and for both able-bodied and stroke participants (ii) the causal information flow between the regions: LM1 and SMA, RPMC and SMA, RPMC and LM1, SMA and RM1, SMA and LPMC, was reduced significantly for stroke survivors (iii) the flow did not increase significantly after MP alone and (iv) the flow among the regions during MP+PT increased significantly. We also found that sensation and motor scores were significantly higher and correlated with directed functional connectivity measures when the stroke-survivors underwent MP+PT but not MP alone. The findings provide evidence that a combination of mental practice and physical therapy can be an effective means of treatment for stroke survivors to recover or regain the strength of motor behaviors, and that the spectra of causal information flow can be used as a reliable biomarker for evaluating rehabilitation in stroke survivors. (shrink)

A long-standing question in cognitive science is how high-level knowledge is integrated with sensory input. For example, listeners can leverage lexical knowledge to interpret an ambiguous speech sound, but do such effects reflect direct top-down influences on perception or merely postperceptual biases? A critical test case in the domain of spoken word recognition is lexically mediated compensation for coarticulation (LCfC). Previous LCfC studies have shown that a lexically restored context phoneme (e.g., /s/ in Christma#) can alter the perceived place of (...) articulation of a subsequent target phoneme (e.g., the initial phoneme of a stimulus from a tapes-capes continuum), consistent with the influence of an unambiguous context phoneme in the same position. Because this phoneme-to-phoneme compensation for coarticulation is considered sublexical, scientists agree that evidence for LCfC would constitute strong support for top–down interaction. However, results from previous LCfC studies have been inconsistent, and positive effects have often been small. Here, we conducted extensive piloting of stimuli prior to testing for LCfC. Specifically, we ensured that context items elicited robust phoneme restoration (e.g., that the final phoneme of Christma# was reliably identified as /s/) and that unambiguous context-final segments (e.g., a clear /s/ at the end of Christmas) drove reliable compensation for coarticulation for a subsequent target phoneme. We observed robust LCfC in a well-powered, preregistered experiment with these pretested items (N = 40) as well as in a direct replication study (N = 40). These results provide strong evidence in favor of computational models of spoken word recognition that include top–down feedback. (shrink)

ChatGPT is an artificial intelligence (AI) chatbot that processes and generates natural language text, offering human-like responses to a wide range of questions and prompts. Five days after its re...

Visual word recognition is facilitated by the presence of orthographic neighbors that mismatch the target word by a single letter substitution. However, researchers typically do not consider where neighbors mismatch the target. In light of evidence that some letter positions are more informative than others, we investigate whether the influence of orthographic neighbors differs across letter positions. To do so, we quantify the number of enemies at each letter position (how many neighbors mismatch the target word at that position). Analyses (...) of reaction time data from a visual word naming task indicate that the influence of enemies differs across letter positions, with the negative impacts of enemies being most pronounced at letter positions where readers have low prior uncertainty about which letters they will encounter (i.e., positions with low entropy). To understand the computational mechanisms that give rise to such positional entropy effects, we introduce a new computational model, VOISeR (Visual Orthographic Input Serial Reader), which receives orthographic inputs in parallel and produces an over‐time sequence of phonemes as output. VOISeR produces a similar pattern of results as in the human data, suggesting that positional entropy effects may emerge even when letters are not sampled serially. Finally, we demonstrate that these effects also emerge in human subjects' data from a lexical decision task, illustrating the generalizability of positional entropy effects across visual word recognition paradigms. Taken together, such work suggests that research into orthographic neighbor effects in visual word recognition should also consider differences between letter positions. (shrink)

At the core of public reason liberalism is the idea that the exercise of political power is legitimate only if based on laws or political rules that are justifiable to all reasonable citizens. Call this the Public Justification Principle. Public reason liberals face the persistent objection that the Public Justification Principle is self-defeating. The idea that a society’s political rules must be justifiable to all reasonable citizens is intensely controversial among seemingly reasonable citizens of every liberal society. So, the objection (...) goes, the Public Justification Principle is not justifiable to all reasonable citizens, and thus fails its own test of legitimacy. And this, critics conclude, undermines the public reason liberal project. This article argues that answering the self-defeat objection to public reason liberalism requires fundamentally rethinking prevailing accounts of the Public Justification Principle’s role. My aim is to develop an account of the Public Justification Principle that vindicates its coherence and moral appeal in the face of reasonable disagreement. (shrink)

The study aims to ascertain how different levels of society have been influenced by the impact of pandemics over the last many years. The study also determines the societal implications of the COVID-19 pandemic. The integrative literature survey method is adopted to extract the secondary data pertinent to the socio-economic effect of pandemics and COVID-19 on society. Primary data is collected to diagnose the impact of the COVID-19 pandemic and lockdown on employees (N = 210) working in the Indian organized (...) sector. Findings of the study suggest that pandemics have been a cause of economic slowdown measured with a fall in gross domestic product (GDP) at the macro level. The reduced level of economic activity is found to be negatively related to an individual socio-economic status building their psychological distress. The descriptive analysis of the data reveals that although employees have managed their jobs and finances during COVID-19, they have experienced stress in their lives due to the pandemic. The study assimilates the pandemic effect using inductive reasoning to develop a COVID quadrilateral conceptual framework. (shrink)

Purpose The high rate of internet penetration has led to the proliferation of social media use, even at the workplace, including academia. This research attempts to develop a topology and thereby determine the dominant use motive for faculty’s use of SM. Design/methodology/approach In this two-part study, a two-stage research design has been adopted for topology development based on the application of Uses and Gratifications Theory. In the second part, the Technology Acceptance Model is applied to discern the dominant motive for (...) SM use in academia. Findings The work is able to develop a seven-item topology, conforming to the basic three use motives, namely, hedonic, utilitarian and social. The work shows faculty attach more value to the instrumental utility of SM, while the hedonic function is also significant. Practical implications Discerning dominant motive implies that SM use at the workplace should not be banned, rather effective regulated use will instil the faculty to enhance work outcomes. The conceptualisation of topology for SM use in academia at the workplace can aid in designing an effective organisation policy, and design of an internal SM platform. Originality/value The study is unique towards topology development for academic faculty and has many important implications for management and academia, especially towards policy design for SM use at the workplace. (shrink)

How is the validity of our consent, and others’ moral permission to act on our consent affected by coercion? Everyone agrees that in cases of two-party coercion—when X coerces Y to do something with or for X—the consent of the coerced is invalid, and the coercer is not permitted to act upon the consent they receive. But coercers and the recipients of consent are not always identical. Sometimes a victim, Y, agrees to do something to, with, or for Z because (...) they are being coerced by X. Recently, several philosophers have argued that consent under third-party coercion can be fully valid. We argue that this view has troubling implications. We develop a novel view of consent in third-party coercion cases, which we call the partial validity account. The core idea is that, under severe coercion, Y’s consent is at most partially valid—it reduces the strength of, but does not completely dissolve, Z’s consent-sensitive duties. We argue that the partial validity account gets the right results in important cases and explains the moral factors at play better than alternative accounts. (shrink)

Journal of Political Philosophy, EarlyView.

The theory of deliberative democracy is a field of democratic theory that studies the contribution of public discussion, argumentation, and reasoning to the normative justification of democratic decision‐making. In this essay, we first explore two competing visions of the moral ideal of deliberative democracy: the rational consensus conception and the wide conception. This establishes a normative framework for analyzing several important applied issues that arise in thinking about deliberative democracy in the real world: the role of cognitive diversity in deliberative (...) decision‐making, the problem of rational ignorance, inequality in public deliberation, and the problem of group polarization. (shrink)

In this essay we criticise Rainer Forst's attempt to draw a connection between power and justification, and thus ground his normative theory of a right to justification. Forst draws this connection primarily conceptually, though we will also consider whether a normative connection may be drawn within his framework. Forst's key insight is that if we understand power as operating by furnishing those subjected to it with reasons, then we create a space for the normative contestation of any exercise of power. (...) He calls this the noumenal understanding of power. Against the conceptual connection between power and justification, we argue that (i) on most plausible accounts of political freedom, some freedom-restrictions commonly attributed to the successful exercise of power would perplexingly count as failures of power on Forst's view, and that (ii) on the most plausible account of reason-recognition, namely an appropriateness of response account, a justification relation is only a sufficient but not necessary condition for recognition. Against the normative connection, we argue that (iii) Forst can establish the existence of a right to justification only if he reconsiders the transcendental aspirations of his theory. (shrink)

This study aims to identify the ethical challenges in the process of product marketing. It conducted a bibliometric study to evaluate the major ethical concerns in the area of product marketing. The data for the current study was extracted using the Scopus database. The study uses VOSviewer and Biblioshiny-bibliometrix to analyze the data. The results revealed that in the twenty-first century, ethical concerns and research related to pharmaceutical marketing, consumption behavior, and sustainability have significantly grown and are emerging as important (...) issues. The study is novel in its approach and develops a theoretical model to know ethical issues related to product marketing with multidimensional process (i.e., identification, search strategy, and analysis) for a long-term sustainable business success. By this study, the academicians and researchers will focus greater attention on the rapidly developing human-techno-centric world to fulfill the organizations’ service promises. The study contributes to the marketing ethics literature, particularly to the literature related to ethical issues in product marketing. (shrink)

Many philosophers argue that individuals have duties to do their fair shares of the demands of achieving important common ends. But what happens when some individuals fail to do their fair shares?...

The study of human cognition and the study of artificial intelligence (AI) have a symbiotic relationship, with advancements in one field often informing or creating new work in the other. Human cognition has many capabilities modern AI systems cannot compete with. One such capability is the detection, identification, and resolution of knowledge gaps (KGs). Using these capabilities as inspiration, we examine how to incorporate detection, identification, and resolution of KGs in artificial agents. We present a paradigm that enables research on (...) the understanding of KGs for visual-linguistic communication. We leverage and enhance and existing KG taxonomy to identify possible KGs that can occur for visual question answer (VQA) tasks and use these findings to develop a classifier to identify questions that could be engineered to contain specific KG types for other VQA datasets. Additionally, we examine the performance of different VQA models through the lens of KGs. (shrink)

The study of human cognition and the study of artificial intelligence (AI) have a symbiotic relationship, with advancements in one field often informing or creating new work in the other. Human cognition has many capabilities modern AI systems cannot compete with. One such capability is the detection, identification, and resolution of knowledge gaps (KGs). Using these capabilities as inspiration, we examine how to incorporate detection, identification, and resolution of KGs in artificial agents. We present a paradigm that enables research on (...) the understanding of KGs for visual-linguistic communication. We leverage and enhance and existing KG taxonomy to identify possible KGs that can occur for visual question answer (VQA) tasks and use these findings to develop a classifier to identify questions that could be engineered to contain specific KG types for other VQA datasets. Additionally, we examine the performance of different VQA models through the lens of KGs. (shrink)

The aim of the present study was to examine the mediation effects of resilience and stress, two perceived opposite constructs, in the relationship between mindfulness and happiness. Mindful Attention Awareness Scale, Connor–Davidson Resilience Scale, Subjective Happiness Scale, Depression Anxiety Stress Scales short version-21 were administered to 523 undergraduate university students in India. Structural Equation Modeling with bootstrapping was applied to test the mediating effects of resilience and stress. Results showed that resilience and stress partially mediated the mindfulness-happiness relationship. In addition, (...) resilience partially mediated the relationship of mindfulness to stress. Findings suggest that mindfulness may play an influential role in enhancing happiness through the mediating effects of resilience and stress. (shrink)

The Chinese government capped executive compensation in state-owned enterprises (SOEs) to address income inequality and promote a more equitable distribution of wealth. This study investigates whether regulating top executives' pay alters their motivation for corporate green innovation (GI) initiatives. Using data from 2006 to 2018 for Chinese-listed SOEs, the regression analysis and difference-in-difference methods revealed that government restrictions on executive compensation negatively affect GI. Furthermore, the types of SOE results show that the negative effect of pay restrictions on GI exists (...) only in local SOEs, as opposed to central SOEs. Moreover, high managerial shareholding positively moderates this negative effect, demonstrating that the adverse effects of compensation restrictions are mitigated by the convergence of interests between managers and stakeholders. These findings are robust to instrumental variables and other robustness tests. This study provides policy recommendations for the government to boost its assistance in GI and establish new environment-related incentives that motivate managers to promote GI and inspire enterprises to deploy sustainable environmental initiatives. (shrink)

This article aims to improve the understanding of corporate governance and environmental reporting literature by analyzing the impact of board gender diversity (BGD) on environmental performance, environmental disclosure, and greenwashing behavior. The panel regression estimation technique with fixed effects was applied to Chinese firm data. As a result, it was found that more women who served on corporate boards enhanced the company's environmental performance and disclosures while limiting greenwashing behavior. The result indicated that women in top management play a constructive (...) role in establishing firms' active environmental initiatives. Furthermore, this relationship was nonlinear and exponentially increased when women's representation reached the threshold of 33.5% representation on board or higher. Based on the findings, no internal bias was found even after other governance and firm-level control factors and probable endogenies were considered and variable biases were omitted. Notably, the results present important implications for regulators and policymakers by highlighting the influential role of BGD in promoting environmentally responsible practices and reducing greenwashing. (shrink)

Keshavan Nair, Higher Standard of Leadership—Lessons from the Life of Gandhi, 2010, New Delhi: Tata McGraw Hill Publications, pp. 157, ₹ 175, ISBN 978-1-881052-58-6.

Pritam Singh, Asha Bhandarkar and Sumita Rai, 2012, Millennials and the Workplace: Challenges for Architecting the Organizations of Tomorrow, New Delhi: SAGE Publications, pp. 231, ₹ 425, ISBN: 978-81-321-0898-6.

Despite the lack of invariance problem (the many‐to‐many mapping between acoustics and percepts), human listeners experience phonetic constancy and typically perceive what a speaker intends. Most models of human speech recognition (HSR) have side‐stepped this problem, working with abstract, idealized inputs and deferring the challenge of working with real speech. In contrast, carefully engineered deep learning networks allow robust, real‐world automatic speech recognition (ASR). However, the complexities of deep learning architectures and training regimens make it difficult to use them to (...) provide direct insights into mechanisms that may support HSR. In this brief article, we report preliminary results from a two‐layer network that borrows one element from ASR, long short‐term memory nodes, which provide dynamic memory for a range of temporal spans. This allows the model to learn to map real speech from multiple talkers to semantic targets with high accuracy, with human‐like timecourse of lexical access and phonological competition. Internal representations emerge that resemble phonetically organized responses in human superior temporal gyrus, suggesting that the model develops a distributed phonological code despite no explicit training on phonetic or phonemic targets. The ability to work with real speech is a major advance for cognitive models of HSR. (shrink)

When firms face crisis, the instant and open channels of social media communication create a double-edged sword. While corporations can more quickly communicate with stakeholders, any missteps will have drastic and nearly immediate repercussions. What are the relationships among social media, subjective norms, attitudes, and intentions during corporate crisis? We explore this phenomenon via a study of a crisis faced by Lowe’s, an international home improvement store, and how current and potential customers reacted. By utilizing a structural equations model to (...) examine an integrated model of multiple constructs, we find that Facebook usage is associated with behavioral intent, perceptions of ethicality, and attitudes toward the organization. Counter intuitively, we find that an increase in participant Facebook usage is negatively related to felt subjective norms. Our findings indicate that beyond the traditional relationships examined by the Theory of Reasoned Action (e.g., norms, attitudes, and behavioral intent), that social media and subjective norms have a strong relationship with general attitudes and ethical attitudes toward an organization. (shrink)