Rethinking the "Conspiracy Crisis": Use and Misuse of "Conspiracy Theory" Labels After Covid‐19

Against the backdrop of the Covid-19 pandemic, this article undertakes a critical evaluation of a series of shortcomings of the view of conspiracy theories that is predominant among scholars and the general public. Reviewing numerous studies on the topic, we critically assess: (a) how justified the claim is that we are in a conspiracy-thinking emergency, (b) how the label of conspiracy theorist can be weaponized to delegitimize heterodox views, and (c) the practical consequences, for academic research and the well-functioning of democracies, of unpopular ideas being labeled as conspiratorial. The empirical sources reviewed here suggest that beliefs in conspiracy theories have not increased over time and are less consequential than commonly believed, even in times of a global pandemic. Instead, the concept of conspiracy theory has become more prevalent and its derogatory connotation evokes a stigma that tilts the democratic playing field against dissenting viewpoints. The stigmatization and political leveraging of this notion, we argue, lead to biases not only in the public discussion on various sensitive topics but also in the academic literature on conspiracy theories themselves. We analyze these academic blind spots in light of the diminishing political diversity in academia and recent perspectives on scientific censorship. We propose to complement the research on conspiracy theorists with an analysis of individuals at the opposite end of the spectrum, who are inclined to systematically trust institutional authorities and are highly prejudiced against heterodox opinions. Proposed solutions include promoting balanced news coverage, fostering critical thinking through debates, and piercing information bubbles to provide access to diverse perspectives

High-density balsamic vinegar: application of stable isotope ratio analysis to determine watering down

Balsamic vinegar of Modena (ABM) is a product obtained from concentrated grape must with the addition of wine vinegar. It can be adulterated with the addition of exogenous water. The official method EN16466-3, based on the analysis of the stable isotope ratio δ18O of the water, is not applicable to ABM with high density (above 1.20 at 20 °C). In this work, for the first time, the official method was modified, providing for a prior dilution of the sample and applying a correction of the data in order to eliminate the isotopic contribution of the diluent, whereupon the within- and between-day standard deviations of repeatability (Sr) were estimated. Considering the limit values of δ18O for vinegar and concentrated must, the threshold limit of δ18O, below which the ABM product can be considered adulterated, has been identified

Stable Isotope Ratio Analysis for authentication of natural antioxidant cannabidiol (CBD) from Cannabis sativa

Cannabidiol (CBD) is a non-psychoactive cannabinoid of Cannabis sativa that exhibits several beneficial pharmacological effects, including anti-inflammatory and antioxidant properties. The molecule can be obtained via extraction from the plant or through a biosynthetic route. The two products have both advantages and disadvantages, thus necessitating the development of methods capable of distinguishing between the two products. In this study, for the first time, the analysis of the stable isotope ratios of oxygen and hydrogen demonstrated high efficiency in the discrimination of CBD of a totally natural origin from that obtained through chemical synthesis. Considering a probability level of 95%, it was possible to identify threshold values for δ2H and δ18O of the totally natural CBD of −215‰ and +23.4‰, respectively. Higher values may indicate a non-entirely natural origin of CBD (i.e., a biosynthetic molecule)

Authentication and geographical characterisation of Italian grape musts through glucose and fructose carbon isotopic ratios determined by LC-IRMS

The authenticity of grape musts is normally checked through a time-consuming stable isotopic analysis of carbon (δ13C) after fermentation and distillation by following the official OIV MA AS-312-06 method. In this study, the alternative use of a technique based on δ13C isotopic analysis of the major sugars of the grape must by liquid chromatography coupled with isotope ratio mass spectrometry (LC-IRMS) is provided. It allows not only the detection of the fraudulent addition to grape must of exogenous glucose and fructose deriving from C4 plants but also the characterisation of it based on its geographical origin. In order to discriminate between musts from different areas of Italy, a preliminary dataset was considered; the δ13C isotopic ratios of glucose and fructose of around 100 authentic samples were analysed. The two analysed parameters, ranging from -29.8‱ to -21.9‱, are well correlated (R2 = 0.7802) and the northern regions showed significantly more negative δ13C values for both sugars than the rest of the datase

Using Bioelements Isotope Ratios and Fatty Acid Composition to Deduce Beef Origin and Zebu Feeding Regime in Cameroon

5openopenPerini, Matteo; Nfor, Mohamadou Bawe; Camin, Federica; Pianezze, Silvia; Piasentier, EdiPerini, Matteo; Nfor, Mohamadou Bawe; Camin, Federica; Pianezze, Silvia; Piasentier, Ed

Insights into the stable isotope ratio variability of hybrid grape varieties: a preliminary study

Background: Official stable isotope databases, based on the analysis of (D/H)I ethanol , (D/H)II ethanol , δ13 Cethanol and δ18 Owater of wine, are an indispensable tool for establishing the limits beyond which the mislabeling or the addition of sugar and/or water in wine production can be detected. The present study investigates, for the first time, whether the use of hybrid varieties instead of European Vitis vinifera for wine production can have an impact on the stable isotope ratios. Results: The analyses were performed by isotope ratio mass spectrometry and site-specific natural isotope fractionation by nuclear magnetic resonance, in accordance with the official methods of the International Organization of Grapes and Wine. The comparison shows the tendency of some stable isotope ratios of hybrid varieties, in particular (D/H)I , to deviate from the regional averages of the V. vinifera samples. Notably, Baron, Monarch and Regent showed significantly different values at one of the two sampling sites. Particularly high δ13 C values characterize Helios compared to other hybrid varieties. Conclusion: For the first time, and from an isotopic point of view, the present study investigates the wine obtained from hybrid varieties, showing that further attention should be paid to their interpretation, on the basis of the database established according to the European Regulation 2018/273. © 2022 Society of Chemical Industry

Improving honey identification: stable isotope ratios variability of mono and polyfloral honeys from the citrus growing area of Salto/Concordia and from Uruguayan coastal areas

Concordia in Argentina and Salto in Uruguay are two neighbouring regions famous for the production of a precious citrus honey, whose valorisation passes through the ability to guarantee its geographical origin. In this study the influence of the different botanical origins (monofloral and polyfloral) within the same region of origin on the different stable isotope ratios was evaluated. Moreover, the effectiveness of the stable isotope ratio parameters δ13Choney, δ13Cprotein, δ15Nprotein, δ34Sprotein, δ2 Hprotein and δ18Oprotein to discriminate between honeys produced in the internal border regions between Argentina and Uruguay (namely, Concordia and Salto) and honeys sampled in the two different Uruguayan coastal regions (Canelones and Maldonado) was tested on 82 monofloral and polyfloral honey samples. The results show that the different stable isotope ratios, except that of nitrogen, are not significantly influenced by the botanical origin of the samples. The sulphur isotopic ratio of proteins and carbon of honey are the most significant parameters for discriminating the geographical origin of the honeys considered. Applied a Principal Component Analysis, the first two factors overall explain 63.5% of the total variance, while the Discriminant Analysis provided optimal discrimination between the three origins, reaching a minimum of 96.7% correct reclassification

Gas Chromatography Combustion Isotope Ratio Mass Spectrometry to detect differences in four compartments of Simmental cows fed on C3 and C4 diets

Fatty acids (FAs) metabolism in animals represents an important field of study since they influence the quality and the properties of the meat. The aim of this study is to assess the possibility to discriminate the diets of cows in different animal compartments and to study the fate of dietary FAs in the bovine organism, using carbon isotopic ratios. Five FAs, both essential (linoleic and linolenic) and non-essential (palmitic, stearic, and oleic) in four compartments (feed, rumen, liver, meat) of animals fed two different diets (based on either C3 or C4 plants) were considered. For all compartments, the carbon isotopic ratio (δ13C) of all FAs (with few exceptions) resulted significantly lower in cows fed on C3 than C4 plants, figuring as a powerful tool to discriminate between different diets. Moreover, chemical reactions taking place in each animal compartment result in fraction processes affecting the δ13C values. The δ13CFAs tendentially increase from feed to meat in group C3. On the other hand, the δ13CFAs generally increase from rumen to liver in group C4, while δ13CFAs of rumen and meat are mostly not statistically different. Different trends in the δ13CFAs of the two groups suggested different FAs fates depending on the die

Towards Risk Modeling for Collaborative AI

Collaborative AI systems aim at working together with humans in a shared space to achieve a common goal. This setting imposes potentially hazardous circumstances due to contacts that could harm human beings. Thus, building such systems with strong assurances of compliance with requirements domain specific standards and regulations is of greatest importance. Challenges associated with the achievement of this goal become even more severe when such systems rely on machine learning components rather than such as top-down rule-based AI. In this paper, we introduce a risk modeling approach tailored to Collaborative AI systems. The risk model includes goals, risk events and domain specific indicators that potentially expose humans to hazards. The risk model is then leveraged to drive assurance methods that feed in turn the risk model through insights extracted from run-time evidence. Our envisioned approach is described by means of a running example in the domain of Industry 4.0, where a robotic arm endowed with a visual perception component, implemented with machine learning, collaborates with a human operator for a production-relevant task.Comment: 4 pages, 2 figure

An innovative integrated solution to support digital postural assessment using the TACOs methodology

The diversification of work as well as the challenges of modern industrial tasks make manual ergonomic assessment tools (i.e., checklist, excel-based worksheet) time consuming and strongly related to the ergonomist's experience. Recent advancements in wearable sensors technology offer new perspectives in terms of integrating human-monitoring solutions with traditional ergonomics methods by movements' digitization. Furthermore, digital posture assessment plays a critical role in the context of Industry 5.0, promoting worker well-being and productivity by identifying ergonomic risks and optimizing work environments. Also, leveraging advanced technologies for posture assessment enables proactive intervention strategies to mitigate musculoskeletal disorders and enhance overall workplace safety and efficiency. The present study proposes an innovative hardware and software solution which allows even non-expert designers or ergonomists to carry out a reliable postural ergonomic assessment according to well-known ergonomic methods, speeding up the analysis and providing accurate information. The setup consists of a wearable suit and its proprietary software tool specifically programmed to carry out the ergonomic assessment according to the Time-Based Assessment COmputerized Strategy (TACOs) method. The setup has been preliminarily tested in a controlled environment simulating a real industrial scenario and a comparison with standard ergonomic practices has been performed. The Mann-Whitney U test returned a p-value of [2.198e-11] < alpha [0.05] demonstrating how the solution proposes results which are numerically and qualitatively enhanced while showing the practical utility of the suggested technical setup and the validity of the suggested digital technique in retrieving and recognizing the workers' posture