125878 research outputs found
Sort by
OSP Diffusion Auctions
The limited cognitive abilities of agents that participate in mechanisms has often limited the application of many theoretical results. Obviously strategyproof (OSP) mechanisms have been introduced to address this issue, since they are so simple that even an agent with limited cognitive abilities can recognize that honest play maximizes her welfare. In this work we provide the first characterization of OSP mechanisms for a setting involving agents that have multidimensional types. Specifically, we characterize OSP mechanisms for diffusion auctions, in which a seller has some items to sell, and buyers privately have both a valuation for these items, and a set of neighbors on an underlying graph. The seller needs not only to incentivize each buyer to reveal her valuation, but also to diffuse information about the auction to her neighbors. Our characterization allows to prove that there are OSP diffusion auctions as powerful as some (but not all) of the best known strategyproof diffusion mechanisms in the literature
Entry Rules and Fairness in Regulated Professions: a Quasi-Experimental Study of a Bar Exam Reform
Review of: D. Carraz, Templiers et Hospitaliers en France méridionale (1100-1300), in «Revue d’Études médiévales et de philologie romane», 5 (2026), p. 268-275
Review of: D. Carraz, Templiers et Hospitaliers en France méridionale (1100-1300), in «Revue d’Études médiévales et de philologie romane», 5 (2026), p. 268-27
Undergraduate students’ structural covariational reasoning to understand the concept of homeomorphism: investigating the stereographic projection with GeoGebra
Donà e la Trinità come chiave della singolarità
Analisi critico-scientifica della filosofia di Donà in merito alle idee platoniche e la concezione della Trinità in relazione alla varietà delle singolarità uniche reali
Editorial: Special Issue on Nonequilibrium statistical mechanics: Methods, applications and new trends
The main aim of this Special Issue is to report recent advances and new trends in nonequilibrium statistical mechanics across classical and quantum systems, from theory to experiment, in an interdisciplinary context. Many contributions address metastability and slow relaxation in multistable landscapes, and show the constructive role of fluctuations as a tool for control and function. The papers illustrate: (i) memristors and neuromorphic devices, from materials and reliability to learning and reservoir computing; (ii) Josephson and sine–Gordon excitations; (iii) biological and chemical models; (iv) quantum platforms; and (v) active-matter and nonlinear-transport settings. Across these areas, stochastic methods—colored noise, stochastic sensitivity, first-passage/escape-time analysis, and noise-induced phenomena such as stochastic resonance, noise-enhanced stability, and resonant activation—provide a common toolbox to turn randomness into an asset for robust functionality in realistic conditions
CHEMICAL AND BIOLOGICAL STUDY OF THE ARTEMISIA GENUS
THE PROJECT "CHEMICAL AND BIOLOGICAL STUDY OF THE GENUS ARTEMISIA" FOCUSED ON THE STUDY OF SEVERAL ARTEMISIA SPECIES FROM THE ITALIAN AND MEDITERRANEAN FLORA: A. ABSINTHIUM L. (ITALY, SPAIN, AND TUNISIA), A. ANNUA L. (ITALY), A. ARBORESCENS (VAILL.) L. (ITALY), A. CHAMAEMELIFOLIA VILL. (ITALY), A. DRACUNCULUS L. (ITALY), AND A. HERBA-ALBA ASSO (TUNISIA).
STARTING FROM A CAREFUL REVIEW OF THE AVAILABLE LITERATURE AND RECOGNIZING THAT EACH SPECIES PRESENTS UNIQUE CHARACTERISTICS AND DISTINCT GAPS IN THE LITERATURE, THE PROJECT ADOPTED A FLEXIBLE CHEMICAL AND BIOLOGICAL APPROACH, RATHER THAN A UNIFORM ANALYTICAL FRAMEWORK APPLIED TO ALL PLANTS. THIS SPECIES-SPECIFIC STRATEGY ALLOWED THE RESEARCH TO FILL SOME KNOWLEDGE GAPS FOR EACH ARTEMISIA SPECIES, INCLUDING PREVIOUSLY UNSTUDIED AND/OR LITTLE-STUDIED SPECIES, HIGHLIGHTING THEIR DISTINCTIVE CHEMICAL, MORPHOLOGICAL, AND BIOLOGICAL CHARACTERISTICS AND ENABLING A MORE ACCURATE ASSESSMENT OF THEIR POTENTIAL APPLICATIONS IN THE PHARMACEUTICAL, FOOD, AGRICULTURAL, AND HEALTH FIELDS. COMBINING PHYTOCHEMICAL, BIOLOGICAL, PHYTOTHERAPEUTICAL, AND ECOLOGICAL ANALYSES, THE RESEARCH ADOPTED AN INTERDISCIPLINARY APPROACH TO PROVIDE INSIGHTS AND POTENTIAL PRACTICAL IMPLICATIONS.
EXPERIMENTALLY, PLANT MATERIALS, WERE SUBJECTED TO VARIOUS EXTRACTION PROCESSES, INCLUDING SOLVENT EXTRACTION AND STEAM DISTILLATION, TO OBTAIN NON-VOLATILE AND VOLATILE FRACTIONS. THE CHEMICAL COMPOSITION OF THESE FRACTIONS WAS ANALYZED USING A COMBINATION OF CHROMATOGRAPHIC AND SPECTROSCOPIC TECHNIQUES, REVEALING SIGNIFICANT HETEROGENEITY WITHIN THE GENUS. IN PARALLEL, A WIDE RANGE OF TESTS WERE USED TO EVALUATE THE BIOLOGICAL POTENTIAL OF THE EXTRACTS: ANTIOXIDANT, ANTIENZYMATIC, ANTIMICROBIAL, ANTIBIOFILM, PHYTOTOXIC, AND ECOTOXIC TESTS. CHEMICAL AND BIOLOGICAL STUDIES WERE CONDUCTED IN PARALLEL, MUTUALLY INFLUENCING EACH OTHER AND CORRELATING METABOLIC PROFILES AND BIOLOGICAL ACTIVITY, ALLOWING FOR A BETTER UNDERSTANDING OF THE INFLUENCES AND CONDITIONING FACTORS. IT WAS ALSO EVALUATED HOW ENVIRONMENTAL FACTORS, PLANT DEVELOPMENT STAGE AND CULTIVATION PRACTICES INFLUENCE THE COMPOSITION OF SECONDARY METABOLITES AND BIOLOGICAL ACTIVITIES.
THE PROJECT BENEFITED FROM EXTENSIVE NATIONAL AND INTERNATIONAL COLLABORATIONS WITH UNIVERSITIES AND RESEARCH CENTRES IN ITALY AND ABROAD, FOSTERING BOTH SCIENTIFIC PRODUCTION AND PROFESSIONAL NETWORKING.
THE RESULTS CONTRIBUTE TO ENRICHING THE CHEMICAL, BIOLOGICAL AND CHEMOTAXONOMICAL KNOWLEDGE OF THE ARTEMISIA GENUS, PROVIDING NEW INSIGHTS INTO SPECIES-SPECIFIC CHEMICAL AND BIOLOGICAL TRAITS, AND SUGGESTING POTENTIAL APPLICATIONS IN PHARMACEUTICAL, NUTRITIONAL, AGRICULTURAL, AND HEALTH CONTEXTS
Change Management and Technostress
Digital transformation is regarded as one of the most significant and intri-
cate forces in the evolution of organizations. From the Industrial Revolution
to the present Information Age, each epoch has redefined the relationship
among people, technologies, and work. However, the present era is dis-
tinctive in that change has never before been so rapid, interconnected, and
far-reaching. ICTs are no longer merely functional or sector-specific tools;
they constitute the cognitive and social infrastructure through which value is
produced, decisions are made, and organizational identities are constructed.
Consequently, digitalization should not be regarded as a mere series of
technical innovations but rather as an anthropological transformation that
impacts modes of thinking, relating, and working. In this scenario, change
management and the study of technostress emerge as two inseparable per-
spectives for understanding the sustainability of contemporary work. In
recent decades, the nature of work has undergone profound transforma-
tions, and concomitantly, the spaces and modalities through which work
is performed have also changed, posing new challenges for both employ-
ees and employers. The advent of novel technologies has resulted in a shift
not only in the composition of the workforce but also in the manner, tim-
ing, and location of work activities (Sparks et al., 2001; Dewe & Cooper,
2012). The advent of advanced communication technologies has engen-
dered greater flexibility and mobility for workers (Dewe & Cooper, 2012),
yielding not only numerous positive outcomes but also a range of nega-
tive consequences. This increased flexibility must be balanced against the
intensified use of technology in daily work practices, which, while dissolving
the boundaries of the traditional office, simultaneously increases workloads
and accelerates work rhythms (Kelliher & Anderson, 2010), with poten-
tial negative effects on employee well-being (Redman et al., 2009)
Modelling phase-separation: A physical mechanism to control genome folding and gene regulation
Phase-separation plays a critical role within cell nuclei. Indeed, extensive experimental work has been done showing the importance of phase-separated condensates in the cell nucleus at different scales, ranging from liquid droplets of proteins to the bigger nucleoli, and there is growing evidence that this physical mechanism is crucial to orchestrate organization of genome architecture and to control gene regulation. On the other hand, computational and theoretical studies have been done to quantitatively explore the physics of this mechanism as well as its influence on biological processes relevant for genome activity, as formation of contacts between gene-enhancer and chromatin re-modelling. Methods commonly employed to study those systems include models based on classical statistical mechanics and numerical strategies such as Monte Carlo or molecular dynamics simulations. This short review focuses on recent theoretical and computational advances in this research field