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VALORIZATION OF PROPOLIS EXTRACTS AS BIOACTIVE COMPONENTS IN ELECTROSPUN SCAFFOLDS
No full textElectrospinning is a versatile technique for producing nonwoven nano- and micro-fibers with an architecture that closely resembles the extracellular matrix (ECM), making it widely used in biomedical fields such as tissue regeneration and drug delivery applications.[1] By carefully tailoring the chemical composition of fibers, it is possible to modulate the interaction between the material and the biological system, as well as the release of therapeutic agents. In this context, encapsulating complex natural products offers a strategy to harness their health benefits, owing to their antioxidant, antibacterial, and anti-inflammatory properties. Propolis is a resinous bee product with a variable chemical composition depending on geographic location and edaphic conditions. It is rich in phenolic compounds that are widely used in the biomedical field.[2,3]
For this reason, ethanolic Soxhlet extracts from three different beekeeping companies in Basilicata have been thoroughly characterized, and the one with the highest total phenolic content has been blended with racemic poly-D,L-lactide (PDLLA) and gelatin, and subsequently electrospun. Gelatin has been employed to enhance both the bioactivity and the hydrophilicity of the resulting scaffolds. The latter were thoroughly characterized by scanning electron microscopy (SEM) to evaluate the influence of the components on their morphology. The preliminary findings highlight the potential of ethanolic extracts as bioactive components in electrospun scaffolds for future biomedical applications.
Part of this study was carried out within the Agritech National Research Center, with funding
from the European Union Next-GenerationEU (PNRR) – M4C2, INVESTIMENTO 1.4
–D.D. 1032 17/06/2022, CN00000022, CUP C33C22000250001)
Il Business Model delle Banche di Credito Cooperativo: Tra Sostenibilità e Tecnologia
No full textThis study aims to understand how the phenomena of sustainability and digitalization can evolve the value creation, proposal, and capture system of Credit Cooperative Banks. Specifically, the research has two aims: firstly, to investigate the presence of sustainability elements in the Business Model of Credit Cooperative Banks by analyzing the extent to which their initiatives adhere to Environmental, Social and Governance factors; secondly, to examine the impact of digitalization on the structures, processes and systems of Credit Cooperative Banks, and whether this enables them to maintain their distinctive social and territorial functions. The qualitative methodological approach adopted is based on the analysis of a single case study: the Magna Grecia Credit Cooperative Bank. Interviews with the institution’s top management and questionnaires administered to employees were selected as the research tools for this analysis. The results reveal that sustainability and digitalization are widely recognized within the selected case study. However, there is uncertainty regarding the contribution of technology to social sustainability, which is why physical branches continue to play a pivotal role in the institution’s operations. This study aims to address a gap in academic literature, as analysis of the methods and strategies of this transition is less explored
Experience, Learning and AI For an Inclusive School Model
No full textThe relationship between AI and Education in the next future will be one of the central issues of teaching in the contemporary school organization. It is necessary, then, that AI be carefully analyzed in an epistemological perspective and considered a didactic device to understand the learning's improvement of each student in the classroom and in the rela-tionship with the family and society. In this particular situation the flipped classroom didactic experience has been an important aspect to define the quality of the contemporary school. The didactic technologies, if they are correctly used, could improve the basic and advanced competences of each student. In this way the most talented students could develop mean-ingful performances to improve the quality of their learning, in particular if these students can achieve an equilibrium between the competences and the knowledges. In particular, the students with the specific learning disorders could have advantages by the use of didactic technologies to limit their learning deficiencies. In another sense the didactic technology can assist (assistive technologies) the possible empowerment of the competences of the students with disabilities to compensate for limitations of disabilities. For this reason, the inclusive school, based on the principle that the organization of didactics must develop the embedded powers of each student from “the best in the classroom until the disabled student”, must clarify the meaning of a hybrid didactics, which considers the traditional compet
La Diana del carme XXXIV di Catullo e la tradizione religiosa romana
No full textPoem xXXIV of the Liber Catullianus plays a fundamental role in exploring the religious aspect. It contains multiple factors linking it to Greek hymnography, while still remaining connected to traditional Italic religio. The "Himn to Diana" is presented is a formally crafted Kultgedicht, notable for its elegance and expressive simplicity, suggesting a specific cultic purpose. From the analysis and study of the poem, the hymn emerges as a work that fits perfectly within the Roman religious tradition; at the same time, the Catullan Diana features elements related to Greek tradition that enhance the composition's prestige
Root architecture characterization of a lentil core collection to boost the breeding in Mediterranean area
No full textTracing Uncertainty in Reverse Logistics: A Decision Support System for Zero Defect Remanufacturing Quality and Quantity Control
No full textThe growing emphasis on circular economy principles has highlighted the importance of efficient remanufacturing processes in reducing waste and maximizing resource utilization. However, uncertainties in reverse logistics - specifically related to the quality, quantity, and timing of returned products - pose significant challenges for achieving defect-free remanufacturing. This paper proposes a Decision Support System (DSS) based on decision tree machine learning models to address uncertainties in remanufacturing. The DSS analyses key variables such as return timing and product condition to optimize remanufacturing outcomes by incentivizing early returns and improving product quality and return predictability. Additionally, the system integrates Zero Defect Manufacturing (ZDM) principles by leveraging real-time data and predictive analytics to minimize defects in remanufactured products. The paper discusses the implications of this approach for managing reverse logistics uncertainties and outlines future research directions for refining and implementing the DSS in practical settings. By bridging predictive analytics with sustainable manufacturing practices, the proposed framework contributes to more efficient and resilient remanufacturing systems within the circular economy
Effects of rice straw biochar application rates on soil aggregate biogeochemistry and linkages to microbial community structure and enzyme activities
No full textFrom Proactive to Embodied Collaboration: A System-Centric Approach to Advancing HRC Quality
No full textThe evolution of Human-Robot Collaboration (HRC) has moved
beyond simple task-sharing, progressing toward advanced systems that integrate
cognitive and physical dimensions in a proactive approach. The prevailing research
is increasingly emphasizing adaptive interaction, predictive intelligence, multi-
modal perception and mutual synchronization between humans and robots. In
this study, a literature mapping review was conducted to capture the latest trends
and practices in HRC design and control, also distinguishing human-centric from
robot-centric approaches. The analysis identified five thematic clusters capturing
the current trends, i.e.: (i) AI-driven cognitive augmentation; (ii) seamless safety;
(iii) enhanced digital twins, augmented reality, and virtualization; (iv) multimodal
perception and mutual awareness; and (v) robot humanization. A literature key
gap emerged, i.e., the lack of a holistic, system-centric framework that comprehen-
sively integrates both human and robotic perspectives, in system design and control
principles as per the identified dimensions. To address the gap, the Human-Robot
Embodiment paradigm is introduced and proposed as the evolution of proactive
HRC, structured around three integrated dimensions: (a) Situational Awareness
and Continual Learning, (b) Enactment and Entrainment and (c) Bidirectional
Control. The paper concludes by outlining challenges, opportunities and future
directions for implementing the unified HRE paradigm