According to the World Health Organisation, three to five million individuals are infected by influenza, and around 250,000 to 500,000 people die of this infectious disease worldwide. Influenza epidemics pose a serious public health threat. Moreover, graver dangers are encountered with influenza subtypes against which there is little or no preexisting human immunity. Such subtypes of influenza have the potential to cause devastating epidemics. Thus, enhancing surveillance systems for the purpose of detecting influenza epidemics in an early stage can quicken (...) response times and save millions of lives. This paper presents three adapting intelligence models: support vector machine regression, artificial neural network using particle swarm optimisation, and our intelligent time series to predict influenza epidemics. The novelty of the current study is that it proposes a new intelligent model to predict influenza outbreaks. The INTS model combines clustering with a time series model to enhance the prediction of influenza outbreaks. The innovation of our proposed model integrates the results obtained from the existing weighted exponential smoothing model with centroids obtained from clustering. We developed a surveillance system for influenza epidemics using Google search queries. The current research is based on a weighted version of the Center for Disease Control and Prevention influenza-like illness activity level obtained from the Center for Disease Control and Prevention data, as well as query data obtained from the Goggle search engine in the USA. The influenza-like illness data was collected from January 4, 2009, to December 27, 2015, stretching across a total time span of 312 weeks. Google Correlate was used to select search queries related to influenza epidemics. In total, 100 search queries were obtained from Google Correlate, 10 of which were better and more relevant search queries selected in this study. The model was evaluated using online Google search queries collected from Google Correlate. Standard measure performance MSE, RMSE, and MAE were employed to estimate the results of the proposed model. The empirical results of the INTS model showed MSE = 0.003, RMSE = 0.036, and MAE = 0.0185, indicating that the errors of the proposed model are very limited. A comparative model of predicting results between the INTS model, alternative Google Flu Trend, and autoregression with Google search data is also presented. The proposed model outperformed the existing models. (shrink)

The questions of how human beings produce and comprehend language continue to engage a variety of researchers and scholars, and it is becoming increasingly clear that only interdisciplinary approaches will yield productive answers. This complex issue of discourse processing is the subject of this volume, and the contributors address it from the varying perspectives of cognitive psychology linguistics, and computer science. The chapters provide a fascinating overview of emerging theories in the new discipline of cognitive science. A useful introductory chapter (...) by the editors explains the relationships of chapters to one another and outlines the long-term implications of the work they report. (shrink)

Writings on Hindu cosmology and science.

This chapter argues that governments have a duty to take reasonably effective and humane steps to minimize the occurrence of unauthorized migration and stay. While the effects of unauthorized migration on a country’s citizens and institutions have been vigorously debated, the literature has largely ignored duties of fairness to would-be immigrants. It is argued here that failing to take reasonable steps to prevent unauthorized migration and stay is deeply unfair to would-be immigrants who are not in a position to bypass (...) visa regulations. Importantly, the argument here is orthogonal to the debate as to how much and what kinds of immigration ought to be allowed. (shrink)

We present some striking global consequences of a model quaternionic quantum field theory which is locally complex. We show how making the quaternionic structure a dynamical quantity naturally leads to the prediction of cosmic strings and nonbaryonic hot dark matter candidates.

The Papers In This Volume, Presented At A Seminar Organised By The Gurukula Kangri Viswavidyalaya, Offer A Kaleidoscopic View Of Myriad Aspects Of Himalayan Eco-System Like Causes Of Its Degradation, Impact Of Hydroelectric To Deforestation And Role Of Wild Life. The Deliberations Also Highlight The Relevance Of Vedic Philosophy In Conserving The Fragile Himalayan Eco-System.

Papers presented at the Seminar on Indian Philosophical Thought on Pramāṇa and Dharmakīrti organized by Tibet House, New Delhi from 10-13 Nov. 2003.

There has recently been a growth in research that examines how corporations respond to allegations of unethical actions. Although scholars have gained much insight about the range of responses available to and used by organizations, there has been almost no study of why firms choose one response over another. In this article, the authors present a framework of likely organizational response choices to allegations of wrongdoing; we propose that response choices are based on the degree of reputational risk from stakeholder (...) withdrawal of support and on perceived threats to the firm’s primary or secondary identity. (shrink)

Lipid droplets (LDs) are ubiquitous, neutral lipid storage organelles that act as hubs of metabolic processes. LDs are structurally unique with a hydrophobic core that mainly consists of neutral lipids, sterol esters, and triglycerides, enclosed within a phospholipid monolayer. Nascent LD formation begins with the accumulation of neutral lipids in the endoplasmic reticulum (ER) bilayer. The ER membrane proteins such as seipin, LDAF1, FIT, and MCTPs are reported to play an important role in the formation of nascent LDs. As the (...) LDs grow, they unmix from the highly charged ER membrane to form mature LDs. LD biogenesis is an exciting, emerging research area, and herein, we discuss the recent progress in our understanding of the formation of eukaryotic nascent LDs. We focus on the role of ER membrane shaping proteins such as reticulons and reticulon‐like proteins, membrane lipids, and cytoskeleton proteins such as septin in the formation of nascent LDs. (shrink)

Inventory prediction and management is a key issue in a retail store. There are a number of inventory prediction techniques. However, it is difficult to identify a time series prediction model for inventory forecasting that provides uniformly good results for all the products in a store. This paper uses data from a small retail store to demonstrate the variability of results for different modeling techniques and different products. We demonstrate inadequacy of a generic inventory model. Stability and seasonality analysis of (...) the time series is used to identify groups of products exhibiting similar sales patterns. Different clustering techniques are applied to determine reasonable local groups. With the help of Mean absolute percentage error, the effectiveness of dataset partitioning for better inventory management is demonstrated. Appropriate inventory management strategies are proposed based on the stability and seasonality analysis. (shrink)

Smell perception plays an important role in eating behavior and might be involved in body weight gain. Since a body of literature implies that olfactory perception and function is hampered in obesity, we here investigate neuroanatomical correlates of this phenomenon. We assessed olfactory bulb volume with magnetic resonance imaging in 67 healthy participants with a body mass index from 18.9 to 45.4 kg/m2. Moreover, we obtained psychophysiological data on olfactory ability and self-report measurements on eating behavior. Additionally, we collected parameters (...) associated with metabolic health in obesity to investigate recently proposed mechanistic explanatory models of why olfaction may be altered in obesity. We showed that OB volume was significantly lower in participants with obesity when compared to those of normal weight. Moreover, we found weak to moderate negative correlations between OB volume and BMI and related measures of metabolic health, especially leptin, body fat percentage, waist-height ratio and insulin resistance. However, neither OB volume nor BMI were related to olfactory function in our young and healthy sample. Nevertheless, our results provide first indications that obesity is associated with brain anatomical changes in the OBs. (shrink)

In their analysis Childress et al. (2023) suggest that withdrawal of extracorporeal membrane oxygenation (ECMO) over a patient’s dissent is not justified by existing ethical arguments. The alternat...

Ever since the global spread of the COVID-19 pandemic in 2020, East Asians across the globe have been ostracized, othered, pathologized, and subjected to numerous anti-Asian hate crimes. Despite contemporary China’s rapid modernization, the country is still perceived as an Oriental and primitive site. Taking these cues, the current article aims to investigate the Sinophobic attitudes in the wake of COVID-19 through a detailed analysis of sequential comics and cartoons by artists of East Asian descent, such as Laura Gao and (...) Lisa Wool-Rim Sjöblom. Drawing theoretical insights from Alexandre White’s “epidemic orientalism” and Priscilla Wald’s “medicalized nativism,” this essay investigates how these chosen comics function as counternarratives through first-person storytelling. In so doing, these comics, while reinstating the dignity of East Asians, also challenge and resist the naturalized methods of seeing that justify violence and dehumanization. The article further argues that Sinophobia and anti-Asian hate crimes are motivated as much by the origins of COVID-19 in China as by the political, economic, and technological variables that have shaped modern China. (shrink)

The American political landscape exhibits significant polarization. People’s political beliefs cluster around two main camps. However, many of the issues with respect to which these two camps disagree seem to be rationally orthogonal. This feature raises an epistemic challenge for the political partisan. If she is justified in consistently adopting the party line, it must be true that her side is reliable on the issues that are the subject of disagreements. It would then follow that the other side is anti-reliable (...) with respect to a host of orthogonal political issues. Yet, it is difficult to find a psychologically plausible explanation for why one side would get things reliably wrong with respect to a wide range of orthogonal issues. While this project’s empirical discussion focuses on the US context, the argument generalizes to any situation where political polarization exists on a sufficiently large number of orthogonal claims. (shrink)

This paper argues for the existence of a certain type of defeater for one’s belief that P—the presence of social incentives not to share evidence against P. Such pressure makes it relatively likely that there is unpossessed evidence that would provide defeaters for P because it makes it likely that the evidence we have is a lopsided subset. This offers, I suggest, a rational reconstruction of a core strand of argument in Mill’s On Liberty. A consequence of the argument is (...) that on morally and politically laden issues in particular, a high degree of doxastic openness might be appropriate. (shrink)

Gujarat has been identified as an enterpreneurial hub of India, primarily due to the innovative behaviour of Gujarati entrepreneurs. This has led Gujarat to become known as a model of enterpreneurial innovations. This model of enterpreneurial innovations has been developed from a study of entrepreneurs in a variety of industries from the region and several industrial clusters of enterprises in Gujarat. The study points to the transformation of many communities, particularly the Patel community, which was traditionally an agricultural community, into (...) a manufacturing class and a new emergent in Gujarat’s industrial scenario. (shrink)

Political protests, debates on college campuses, and social media tirades make it seem like everyone is speaking their minds today. Surveys, however, reveal that many people increasingly feel like they're walking on eggshells when communicating in public. Speaking your mind can risk relationships and professional opportunities. It can alienate friends and anger colleagues. Isn't it smarter to just put your head down and keep quiet about controversial topics? In this book, Hrishikesh Joshi offers a novel defense of speaking your (...) mind. He explains that because we are social creatures, we never truly think alone. What we know depends on what our community knows. And by bringing our unique perspectives to bear upon public discourse, we enhance our collective ability to reach the truth on a variety of important matters. Speaking your mind is also important for your own sake. It is essential for developing your own thinking. And it's a core aspect of being intellectually courageous and independent. Joshi argues that such independence is a crucial part of a well-lived life. The book draws from Aristotle, John Stuart Mill, Friedrich Nietzsche, Bertrand Russell, and a range of contemporary thinkers to argue that it's OK to speak your mind. Key Features Shows that we have not just a right but a moral duty to publicly share what we know. Argues that discussing your unique ideas with others is essential for developing as a critical thinker. Explores the value of intellectual honesty and independence in the writings of John Stuart Mill and Friedrich Nietzsche and connects their thinking to contemporary problems. Argues that avoiding cultural blind spots today is important for the fate of future generations. (shrink)

We introduce LTAG-spinal, a novel variant of traditional Lexicalized Tree Adjoining Grammar (LTAG) with desirable linguistic, computational and statistical properties. Unlike in traditional LTAG, subcategorization frames and the argument-adjunct distinction are left underspecified in LTAG-spinal. LTAG-spinal with adjunction constraints is weakly equivalent to LTAG. The LTAG-spinal formalism is used to extract an LTAG-spinal Treebank from the Penn Treebank with Propbank annotation. Based on Propbank annotation, predicate coordination and LTAG adjunction structures are successfully extracted. The LTAG-spinal Treebank makes explicit semantic relations (...) that are implicit or absent from the original PTB. LTAG-spinal provides a very desirable resource for statistical LTAG parsing, incremental parsing, dependency parsing, and semantic parsing. This treebank has been successfully used to train an incremental LTAG-spinal parser and a bidirectional LTAG dependency parser. (shrink)

ABSTRACT:Datafication has allowed us to quantify every facet of the corona-virus pandemic. A significant quantity of data sets on infection and recovery rates, mortality, comorbidities, the intensity of symptoms, region-by-region statistics, vaccination, and virus variants, among other things, has been made publicly available. However, these data sets relentlessly reduce human beings to mere numbers and graph points. The present study employs a close reading of comic panels to demonstrate how graphic medicine uses data to critique, supplement, and expose its lacunae. (...) The article draws from graphic medical narratives and panels such as Andy Warner's "The Nib Bureau of Statistics" (2020), Sarah Firth's "State of Emergency" (2021), and Randall Munroe's "Statistics" (2020). Though data visualizations and comics are both graphical representations, their treatment of COVID-19-related issues is radically different. Graphic medicine "re-draws" data visualizations through imitation, subversion, and displacement to showcase multiple temporalities, marginal agencies, and the affective nature of human existence. Furthermore, the humanistic intervention of graphic medicine deftly reclaims individual lives and attendant stories in a world dominated by technologically mediated data. This essay does not dismiss the performative force of data; instead, it insists on humanizing and contextualizing a sensitive presentation of data to convey our entangled existence and collective states. (shrink)

According to many philosophers, the world should embrace open borders – that is, let people move around the globe and settle as they wish, with exceptions made only in very specific cases such as fugitives or terrorists. Defenders of open borders have adopted two major argumentative strategies. The first is to claim that immigration restrictions involve coercion, and then show that such coercion cannot be morally justified. The second is to argue that adopting worldwide open borders policies would make the (...) world a much better place, particularly by improving average well-being. This essay contends that both of these argumentative strategies fail. Some immigration restrictions are not only morally justified, but morally required. (shrink)

Introduction: Electroconvulsive therapy is a commonly used brain stimulation treatment for treatment-resistant or severe depression. This study was planned to find the effects of ECT on brain connectivity by conducting a systematic review and coordinate-based meta-analysis of the studies performing resting state fMRI in patients with depression receiving ECT.Methods: We systematically searched the databases published up to July 31, 2020, for studies in patients having depression that compared resting-state functional connectivity before and after a course of pulse wave ECT. Meta-analysis (...) was performed using the activation likelihood estimation method after extracting details about coordinates, voxel size, and method for correction of multiple comparisons corresponding to the significant clusters and the respective rsFC analysis measure with its method of extraction.Results: Among 41 articles selected for full-text review, 31 articles were included in the systematic review. Among them, 13 articles were included in the meta-analysis, and a total of 73 foci of 21 experiments were examined using activation likelihood estimation in 10 sets. Using the cluster-level interference method, one voxel-wise analysis with the measure of amplitude of low frequency fluctuations and one seed-voxel analysis with the right hippocampus showed a significant reduction in the left cingulate gyrus and a significant increase in the right hippocampus with the right parahippocampal gyrus, respectively. Another analysis with the studies implementing network-wise resting state functional connectivity showed a significant increase in bilateral posterior cingulate cortex. There was considerable variability as well as a few key deficits in the preprocessing and analysis of the neuroimages and the reporting of results in the included studies. Due to lesser studies, we could not do further analysis to address the neuroimaging variability and subject-related differences.Conclusion: The brain regions noted in this meta-analysis are reasonably specific and distinguished, and they had significant changes in resting state functional connectivity after a course of ECT for depression. More studies with better neuroimaging standards should be conducted in the future to confirm these results in different subgroups of depression and with varied aspects of ECT. (shrink)

The current discourse on moral epistemology (ME), has hardly paid any attention to the question concerning the demarcation of the domain of ME within epistemology. Neither is the subject matter of ME considered unique, nor is the methodology adopted in its investigations considered distinct. We attempt to show in this paper that this omission does not restrict itself to a mere taxonomical oversight but rather leads to certain deeper conceptual concerns. We argue that a casual and porous understanding of the (...) subject matter of ME is the result of conflating moral beliefs and justification with non-moral beliefs and justification. If ME doesn't merit a clear demarcation within epistemology, then the very legitimacy of ME is brought under a cloud, thereby threatening the distinction between ethics and epistemology. We believe G. E Moore foresaw this predicament and our interpretation of his work could offer a possible solution. (shrink)

Healthcare systems across the globe are struggling with increasing costs and worsening outcomes. This presents those responsible for overseeing healthcare with a challenge. Increasingly, policymakers, politicians, clinical entrepreneurs and computer and data scientists argue that a key part of the solution will be ‘Artificial Intelligence’ (AI) – particularly Machine Learning (ML). This argument stems not from the belief that all healthcare needs will soon be taken care of by “robot doctors.” Instead, it is an argument that rests on the classic (...) counterfactual definition of AI as an umbrella term for a range of techniques that can be used to make machines complete tasks in a way that would be considered intelligent were they to be completed by a human. Automation of this nature could offer great opportunities for the improvement of healthcare services and ultimately patients’ health by significantly improving human clinical capabilities in diagnosis, drug discovery, epidemiology, personalised medicine, and operational efficiency. However, if these AI solutions are to be embedded in clinical practice, then at least three issues need to be considered: the technical possibilities and limitations; the ethical, regulatory and legal framework; and the governance framework. In this article, we report on the results of a systematic analysis designed to provide a clear overview of the second of these elements: the ethical, regulatory and legal framework. We find that ethical issues arise at six levels of abstraction (individual, interpersonal, group, institutional, sectoral, and societal) and can be categorised as epistemic, normative, or overarching. We conclude by stressing how important it is that the ethical challenges raised by implementing AI in healthcare settings are tackled proactively rather than reactively and map the key considerations for policymakers to each of the ethical concerns highlighted. (shrink)

Within the immigration debate, libertarians have typically come down in favor of open borders by defending two main ideas: i) individuals have a right to free movement; and ii) immigration restrictions are economically inefficient, so that lifting them can make everyone better off. This entry describes the rationale for open borders from a libertarian perspective (in part by analogy to the debate around minimum wage laws). Three main objections within the immigration literature are then discussed: i) the view that states (...) may restrict immigration to protect the interests (e.g. jobs) of their domestic needy; ii) the claim that restrictions are justified as a means of preserving culture; and iii) the influential argument that the right to freedom of association entails a right to exclude. These arguments are well-known, and I describe some of the compelling responses to be found in the recent literature. The essay then turns to more neglected critiques. The first concerns how liberal regimes should think about immigration from countries where the dominant norms are illiberal. The second examines the idea that political and economic institutions are sensitive to immigration policy, especially in the long run. Both of these critiques approach the topic from a non-ideal theory perspective, emphasizing the “public choice” dimensions of immigration policy. The entry closes by suggesting that this form of critique is especially important for open-borders libertarians to respond to given their general commitments to non-ideal, non-romantic theorizing in the context of government institutions and policy. (shrink)