Obesity, Sedentary Behavior and Lifestyle: A Lifecycle Model of Eating and Physical Activity

We propose a theoretical model to study individual lifestyle choices related to calorie intake and physical activity, depending on personal fitness level and body weight. The model builds on the rational eating literature and can generate a variety of behaviors that are consistent with the empirical evidence. In particular, we show that engaging in periods of a sedentary lifestyle can be a rational, utility-maximizing decision—a finding that is not present in the existing literature but is empirically widespread. Additionally, we show the possible existence of multiple equilibria and multiple indifferent lifestyles. The former justifies policy interventions to help individuals exit a self-reinforcing, but unhealthy equilibrium; the latter provides a theoretical basis for remediation plans that compensate for earlier unhealthy behaviors

Data on the monitoring of volatile compounds in virgin olive oils, which was conducted over a twelve-month storage period, using a combination of targeted and untargeted analytical approaches

This data set contains data related to the evolution of volatile compounds in virgin olive oils during one year of storage. The influence of various agronomic and technological factors, including agricultural practices, olive ripeness at harvest, oil storage duration, and packaging methods, were evaluated. The data were obtained through a combined approach that encompasses sensory analysis as well as both targeted (HS-GC-IMS, SPME-GC-MS) and untargeted (FGC-Enose) analytical techniques. This research work is developed within the project funded under the PSR 2014-2020 program – Type of Operation 16.2 “INnovazione e PROmozione della filiera dell’OLIO extra vergine di oliva emiliano-romagnolo (INPRO-OLIO)” and within project OnFoods (ON Foods - Research and innovation network on food and nutrition Sustainability, Safety and Security - Working ON Foods)

INCA D1 A Theoretical Framework for Platform Capitalism

The file contains the literature references used for tasks 1.1 Politics-Economy: Historical Trajectories and 1.2 The relation between Economy and Democracy through a Technological Gaz

RNAseq analysis on the foot of mediterranean mussels experimentally exposed to heat waves for 3 and 30 days

This dataset contains RNAseq data to measure gene expression and identify differentially expressed genes (DEGs) in Mediterranean mussels (Mytilus galloprovincialis) exposed for 3 and 30 days to experimental heat waves (28°C), mimiking the temperature increase expected in 2050. The control group was maintained at a temperature of 20.0 ± 0.5 ◦C, while the exposed group was brought to 28.0 ± 0.5 °C by warming the water at a rate of 0.5 °C·h-1. The water temperatures were kept constant for 30 days using electronic thermostats and heat exchangers. Seawater parameters (temperature, salinity, and pH) were checked daily

Beyond Time: Unveiling the Invisible Burden of Mental Load

This paper introduces a novel, scalable methodology to measure individual perceptions of gaps in mental load—the cognitive and emotional burden associated with organizing household and childcare tasks—within heterosexual couples. Using original data from the TIMES Observatory in Italy, the study combines time-use diaries with new survey indicators to quantify cognitive labor, emotional fatigue, and the spillover of mental load into the workplace. Results reveal systematic gender asymmetries: women are significantly more likely than men to bear organizational responsibility for domestic tasks, report lower satisfaction with this division, and experience higher emotional fatigue. These burdens are underestimated by their partners. The effects are particularly pronounced among college-educated and employed women, who also report greater spillovers of family responsibilities than men during paid work hours. The perceived responsibility for managing family activities is more strongly associated with within-couple gaps in time use than with the absolute time spent on their execution, underscoring the relational and conflictual nature of mental load

Dataset of the paper "Simulation-driven machine learning for real-time damage prognosis in masonry structures"

This dataset, developed as part of the Horizon 2020 HOLAHERIS project, contains data, models and results related to a machine learning predictor for damage prognosis in cracked masonry walls based on mechanically consistent crack patterns induced by external actions (earthquake-like loads and differential settlements). The stress increase indicator machine learning predictor is trained through more than 100 crack patterns generated by an accurate block-based numerical model, and the related stress increase indicator. Good predictions on masonry piers with features different from those used in the training data support the generalization potential of the proposed method. Accordingly, the training data set could be straightforwardly enlarged also by using numerical models for masonry (e.g., utilized in other research groups). The machine learning predictor is implemented within a Python code which is released in this dataset, together with input data which are collected within the same Python code

Gamification, Ludic Capitalism, and the Erosion of Free Time in Youth Labor Cultures

This article investigates how the gamification of labor and the logic of ludic capitalism are reshaping the experience of time, performance, and well-being among young people. Drawing on qualitative and quantitative data from a comparative study, it focuses on the increasing use of free time for work-related activities such as training, second jobs, and productivity planning. The findings reveal that over half of respondents report blurred boundaries between work and leisure, with emotional consequences including guilt when resting, anxiety about “wasting time,” and pride in overworking. These dynamics are interpreted through the theoretical lenses of Han, Bazzani, Chicchi, and Zuboff, highlighting the internalization of performance, the gamification of everyday life, and the role of digital platforms in normalizing continuous labor. The article concludes by calling for renewed attention to the right to rest, and for further research into alternative models of time, value, and productivity that prioritize well-being over optimization

Fé e fausto na pós-inundação: devir animal, abjeção do humano em A língua submersa

[Faith and pomp in the post-flood: animal becoming, and human abjection in The Submerged Language by Manoel Herzog] This article is an exercise in transdisciplinary thinking in the field of Law and Literature, which has as its theoretical paradigm the thought of Giorgio Agamben, particularly in the book The Open. The man, the animal, the series Homo Sacer and Nudity, and as critical material Manoel Herzog’s romance The Submerged Language. This work, located within what has been called cli-fi/Anthropecene Fiction, proposes to think about the unthinkable that the earth-world must be completely different after the rise of the oceans due to the action of man. In this fiction, in which the animal becoming and the abjection of the human are consequences of legal norms by the believer/junky duality, and social distinctions allow those who enjoy privileges to search for the satisfaction of an ox hunger, revealing the arbitrary and exceptional political nature that characterizes contemporary biopolitical societies. The methodology undertaken was transdisciplinarity, with bibliographic research as its procedure

Dataset of “Mastering palladium catalyzed cross-coupling reactions: the Critical role of in situ pre-catalyst reduction design”

The dataset contains 31 P-NMR spectra as .fid files used to characterize palladium complexes formed during the in-situ generation of Pd(0) catalysts from Pd(II) precatalysts in cross-coupling reactions. The reduction process was examined via NMR to evaluate the influence of reagents, solvents, bases, ligands, and counterions. The spectra represent the optimal results obtained from the screening of each parameter

Dataset del progetto UniverS-Ita

Il dataset contiene il quadro complessivo dei metadati dei testi raccolti nell'ambito del Progetto PRIN 2017 UniverS-Ita. L'italiano scritto degli studenti universitari: quadro sociolinguistico, tendenze tipologiche, implicazioni didattiche. Il progetto aveva lo scopo di mappare le competenze nella scrittura formale della popolazione universitaria italiana, attraverso un campione di 2.137 studentesse e studenti di 44 atenei, rappresentativo per aree geografiche e disciplinari. I/le partecipanti hanno redatto un testo (di 250-500 parole) su una traccia comune e compilato un questionario sociobiografico di 58 domande (non tutte compaiono nel dataset in quanto alcune non hanno ottenuto un numero statisticamente rilevante di risposte). I testi prodotti sono poi stati analizzati sia quantitativamente, sia qualitativamente. Grazie a questo strumento è possibile individuare correlazioni sistematiche tra caratteristiche dei testi e profili degli e delle scriventi