256488 research outputs found
Sort by
Théories de la démocratie radicale et sociologie des mouvements sociaux : une rencontre manquée
No full textpeer reviewe
Pour une démocratie sauvage. Une sociologie charnelle au coeur des luttes et des conflits.
No full textpeer reviewe
AssociationExplorer: A user-friendly shiny application for exploring associations and visual patterns
Full text linkpeer reviewedAssociationExplorer is an open-source interactive R Shiny application designed to help non-technical users explore statistical associations within multivariate datasets. Aimed particularly at journalists, educators, and engaged citizens, the tool facilitates the discovery and interpretation of meaningful patterns between variables without requiring programming or statistical expertise. Users can upload structured data (e.g., from surveys or open government datasets), select relevant variables, and dynamically visualize relationships via a correlation network and contextual bivariate plots. To illustrate its capabilities, we present a case study based on the European Social Survey (ESS), showcasing how users can investigate links between attitudes, behaviors, and socio-demographic indicators across countries. The app supports a range of association measures adapted to variable types (Pearson’s r, Eta, and Cramer's V), ensuring both flexibility and statistical rigor. The visual interface enables users to adjust thresholds for association strength and examine results through interactive graphs and summary tables, making the app particularly well-suited for data storytelling, exploratory research, and public communication. AssociationExplorer demonstrates how open-source statistical tooling can enhance transparency, accessibility, and insight in the interpretation of complex social data
Artificial intelligence in process safety and risk management
Full text linkpeer reviewedincluding those for text and data mining, AI training, and similar technologies. 383 performance improvement. In a highly regulated sector, constant improvement in safety control is necessary to safeguard lives, property, and public confidence. AI has radically changed chemical engineering, substantially enhancing safety and risk management through predictive maintenance, real-time monitoring, and data-driven decision-making. AI-based predictive maintenance reduced equipment breakdowns and unplanned downtime by approximately 50%. Real-time monitoring systems employ AI-based algorithms to identify process deviations and reduce the rate of events by 30%. AI-based risk assessment models improve hazard detection and prioritization, making decisions 40% more effective. In addition, AI improves operating parameters to increase production efficiency by 25% and ensure strict enforcement of safety protocols [6]. In addition to process optimization, AI enhances simulation-based training, emergency preparedness, and automatic compliance monitoring for improved workplace safety. Implementing AI-based security measures in organizations has helped achieve 50% of business goals. AI will account for 20% of the global workforce by 2028 and contribute 40% of economic output [7]. Applying AI in chemical engineering increases productivity and promotes proactive security through compliance with upcoming regulations. Companies using AI-based safety initiatives have improved their business objectives by 50%. AI solutions are expected to account for 20% of the total global workforce by 2028, and their share of economic productivity will be 40% [7]. Applying AI to chemical engineering improves operational efficiency and reinforces an active approach to safety, ensuring compliance with ever-changing regulatory standards. With the development of PSM and integration of advanced risk assessment techniques, AI has emerged as a powerful tool for enhancing safety and operational efficiency in the chemical industry. As industries shift toward flexible, datadriven safety protocols, AI technologies are transforming risk detection, real-time monitoring, and emergency response systems. Unlike traditional AI studies that focus primarily on technological development, this chapter explores AI's practical applications in chemical engineering-such as supporting process hazard analysis, strengthening risk management, and enabling predictive maintenance through digital twin (DT) technology. Going beyond theoretical discussions, it critically evaluates current applications and identifies emerging trends, challenges, and the regulatory, interpretability, and data integrity concerns that must be addressed to fully leverage AI in process safety
National Middle Ages or imperial present? The time in the libels published under Charles V
No full texteditorial reviewedThis paper aims to sketch out the copresence of two paradigms for the exploitation of time in the news printed to relate, justify and glorify the actions of Charles V: the classical historia magistra vitæ and a less commonly known presentist stance.
This paper will first show the fertility and imperial specificities of the exploitation of the Italian, Spanish, Dutch and German Middle Ages to legitimize the project of universal monarchy: what practices were at work and what political discourse did they legitimize? Secondly, it will explain why presentism is the necessary corollary of the union under Charles V’s single government of an unprecedented ensemble of states: such a modern entity paradoxically abolished the possibility of writing the history of this monarchy and limited historiography to the praise of the present in its a-historical perfection.
This paper will show how these two paradigms either compete or combine in accordance with imperial actuality: do some events lend themselves particularly well to the exploitation of one paradigm of another? By answering these various questions, I hope to show how past, present and future meet in imperial ideology and to shed new light on the understanding of time in the early 16th century
Purification of bioactive compounds from rosemary by-products for innovative solutions in food industry
No full textpeer reviewedMaximizing the value of agricultural by-products is critical for advancing sustainable development and minimizing waste. This study delves into the solid by-products of Rosmarinus tournefortii de Noé, focusing on their fractionation and purification to unveil valuable bioactive compounds. Using flash chromatography, nine distinct fractions (F1 to F9) were successfully isolated. Cutting-edge analytical techniques including FTIR, UHPLC-MS/MS, and 2D NMR (HSQC, HMBC and COSY) confirmed the presence of novel labdane diterpenoids (PF1), 24-nor-ursane triterpenoids (PF5), and ent-kaurane diterpenoids (PF6). Furthermore, HPLC-DAD profiling revealed rosmadial (79.43 % in F4) and luteolin (70.14 % in F7) as the dominant phenolic compounds. Notably, the crude extract demonstrated remarkable antioxidant activity, with an IC50 of 0.04±0.23 mg/mL. Fractions F7 and F8 also exhibited strong antioxidant potential, with IC50 values of 0.35±0.07 mg/mL and 0.36±0.02 mg/mL, respectively. Purified fractions PF7 and F8, enriched with luteolin and 3-hydroxyflavone, proved highly effective for pigmentation control, with PF7 showing an IC50 of 0.045±0.007 mg/mL. In addition, antimicrobial assays revealed that the 24-nor-ursane triterpenoid and fraction F6, containing ent-kaurane and carnosol, displayed potent inhibitory effects against Rhodotorula glutinis (24.1 mm). Molecular docking studies further highlighted PF5 as a potent inhibitor of alpha-amylase (-5.856 kcal/mol) and tyrosinase (-4.385 kcal/mol), while PF1 surpassed acarbose in alpha-glucosidase inhibition with a binding energy of −5.898 kcal/mol. Collectively, these findings highlight the immense potential of R. tournefortii by-products as a rich source of bioactive compounds for health and skincare, offering promising, sustainable solutions for the pharmaceutical, cosmetic and food preservation industries
Integrating Soft Skills Training Into your Course Through a Collaborative Activity
No full textpeer reviewedNowadays, employers highly value soft skills, yet many students lack these fundamental abilities. Teaching soft skills involves fostering active student participation and facilitat- ing communication of technical knowledge among peers. This approach presents challenges: () creating an engaging learning environment; () ensuring students get timely feed- back; () finding an approach that is not too time-consuming for instructors to prepare.
The Collaborative Design & Build (Cdb) activity, described in this paper, was designed to respond to these challenges. It simulates a real-life scenario, triggering students’ interest. The success of this collaborative activity hinges on students working together in a structured chain, where each team builds upon and contributes to the success of the others. This fosters student engagement and accountability as they re- alize the impact of their actions on the entire chain. This pedagogical approach has already been adopted by four uni- versities abroad. This paper shows how it can be deployed in different courses.
Finally, it also discusses how students perceived the activ- ity through four soft skills: collaboration, communication, problem solving and critical thinking. These skills were se- lected based on their relevance, both in the context of the collaborative activity and in the job market. They are also aligned with the “4C’s of 21st Century skills”. Results show that while students initially struggled with soft skills, con- sistent practice throughout the semester boosted their confi- dence, especially in communication. This makes the activity particularly relevant in the classroom, as communication is considered as the most important soft skill for the future.CyberExcellence projec
