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“Preface”, in Valerio Alfonso Bruno, James F. Downes, and Alessio Scopelliti, The Rise of the Radical Right in Italy. A New Balance of Power in the Right-Wing Camp
Identifying COVID-19 survivors living with post-traumatic stress disorder through machine learning on Twitter
The COVID-19 pandemic has disrupted people’s lives and caused significant economic damage around the world, but its impact on people’s mental health has not been paid due attention by the research community. According to anecdotal data, the pandemic has raised serious concerns related to mental health among the masses. However, no systematic investigations have been conducted previously on mental health monitoring and, in particular, detection of post-traumatic stress disorder (PTSD). The goal of this study is to use classical machine learning approaches to classify tweets into COVID-PTSD positive or negative categories. To this end, we employed various Machine Learning (ML) classifiers, to segregate the psychotic difficulties with the user’s PTSD in the context of COVID-19, including Random Forest Support Vector Machine, Naïve Bayes, and K-Nearest Neighbor. ML models are trained and tested using various combinations of feature selection strategies to get the best possible combination. Based on our experimentation on real-world dataset, we demonstrate our model’s effectiveness to perform classification with an accuracy of 83.29% using Support Vector Machine as classifier and unigram as a feature pattern
Volk against Kaste: Non-Democratic Popular Sovereignty in Nazi Germany
This article argues that a supposedly Indian idiosyncrasy, the concept of “caste” (Kaste) was pressed into service for a peculiar understanding of popular sovereignty without democracy in Nazi Germany. A fundamental critique of recent equations of “caste” with the racially oppressed, the article shows how the term was originally generalized into global political grammar as the designated enemy of “the people,” pointing to the aristocracy rather than the Indian Dalit or Black slave. Under the Nazis, Kaste continued to designate the major antithesis of the valorized idea of the Volk. A broad array of high-ranking Nazi politicians and ideologues is marshalled to reconstruct a unique vision of non-democratic popular sovereignty, in which ruler and ruled were reconciled through the annihilation of caste
Value Added Products from Fruit Waste: A Systematic Review
Food waste contains hazardous compounds that can impact the growth of plants, polluting drinking water, impacting sea life to ultimately contaminating human food consumption. With approximately 1.3 billion tonnes of food is wasted per annum, there is need to mitigate the impact of waste from the different food processing sectors. Specifically, making use of waste from the vegetable and fruit processing sectors is a significant, albeit difficult, task in food sustainability. Numerous studies have explored the potential use of discarded fruits, including their waste materials, for further industrial purposes. Also, the extraction of functional ingredients, ex-traction of bioactive components, and fermentation of food waste from the vegeta-ble and fruit sector is now the subject of extensive research. This is a systematic review of a selection of a range of relevant original studies that assess the potential of upcycling food waste (particularly fruit waste) – turning food waste into ingredi-ent item/s to produce value added consumer products. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines un-derpins the method applied to the identification, eligibility evaluation and final se-lection of relevant studies. Findings from the review show the potential of repur-posing fruit waste, using different methods, into added-value material for a wide range of products such as bioethanol, biohydrogen, ethanol, fertilisers, bio-oil and sanitary pads
Exploring corporate weather accounting by the UK food retail industry
This chapter explores the extent to which companies in the UK food retail and production industries are disclosing information on weather-related risk, especially in relation to climate change-induced weather risk, in their annual/integrated reports, their sustainability (or equivalent) reports and on their corporate websites. The primary focus is on UK food retailers and producers and the changing British climate. However, we also consider the impact of climate change in other countries which affect the companies under study, due to their inclusion in the supply chain, as well as disclosures relating to non-food areas of their businesses. More specifically, our study seeks to assess the quality and consistency of these disclosures, from a critical perspective and draws conclusions as to whether these weather disclosures are discharging adequate accountability to stakeholders in terms of their information content, depth of discussion and detail
What is 'Western Philosophy'? Lessons from the Case of 'Analytic Philosophy'
Recent discussions in the history of analytic philosophy have targeted questions about the concept of ‘Analytic Philosophy’ itself. Scholars, such as Glock (2008) and Preston (2004), have argued that ‘Analytic Philosophy’ cannot plausibly be characterised in terms of necessary and sufficient conditions and that other, more pragmatic, approaches must be taken instead. In this paper, we argue that similar questions that have recently emerged about the status of ‘Western Philosophy’ can be informed by these debates in the history of analytic philosophy. Some recent scholars, most notably Platzky Miller (2023) and Cantor (2022), have argued that the concept of ‘Western philosophy’ should be abandoned altogether, due to its incoherence and the role it plays in upholding and perpetuating various exclusionary mechanisms and politically dubious aims. The aim of this paper is to apply the lessons learnt from similar discussions about ‘Analytic Philosophy’ and to build on Platzky Miller’s and Cantor’s innovative proposals. We argue that the term should not be abandoned altogether and that continuing to use it is required for combating exclusions in the history of philosophy
My journey in science and art
An autobiography of the scientific and artistic journey of a computational chemist from the time of his undergraduate, postgraduate and academic time. It outlines various discoveries made regardless of the unemployment risks that young scientist face nowadays. Some discoveries where a matter of luck but other come after years of systematic studies. Strong bonds with scientists are formed from this scientific endeavor
Radical Ontic Structural Realism and Holistic Monism
Love it or hate it, the view known as Ontic Structural Realism (OntSR) has left an indelible mark on the scientific realism landscape and the metaphysics of science landscape more generally. Its success is no doubt largely due to the modern-physics inspired reimagining of the fundamental constitution of nature from object-centric to structure centric. This reimagining has not only led to a shift in our conceptions of reality but has also ushered in an era of revitalised naturalism, this time directed not at epistemology but metaphysics. Yet, much like other views that have left their mark in their respective landscapes, there is no singular, clear and distinct thing that we can call OntSR. The view’s supporters have been sprouting variants ever since the view was conceived. Some variants appear to be moderate in their revision of metaphysics while others are downright revolutionary. The latter have as of late been overlooked in favour of the former. In this paper, I argue that the most significant objection against those variants, namely that there cannot be relations without relata, can be satisfactorily addressed but only if we endorse a certain kind of holistic monism towards metaphysics. The upshot is a conditional endorsement of such variants over less radical ones
Higher-order connectomics of human brain function reveals local topological signatures of task decoding, individual identification, and behavior
Traditional models of human brain activity often represent it as a network of pairwise interac-
tions between brain regions. Going beyond this limitation, recent approaches have been proposed
to infer higher-order interactions from temporal brain signals involving three or more regions. How-
ever, to this day it remains unclear whether methods based on inferred higher-order interactions
outperform traditional pairwise ones for the analysis of fMRI data. To address this question, we
conducted a comprehensive analysis using fMRI time series of 100 unrelated subjects from the Hu-
man Connectome Project. We show that higher-order approaches greatly enhance our ability to
decode dynamically between various tasks, to improve the individual identification of unimodal and
transmodal functional subsystems, and to strengthen significantly the associations between brain
activity and behavior. Overall, our approach sheds new light on the higher-order organization of
fMRI time series, improving the characterization of dynamic group dependencies in rest and tasks,
and revealing a vast space of unexplored structures within human functional brain data, which may
remain hidden when using traditional pairwise approaches