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Faced with a changing business environment and increasing competition, enterprises have started looking for innovative solutions be­yond hierarch organizational boundaries. The community of crowds can be employed as a valuable factor in an enterprise’s innovation process to cre­ate value and upgrade its knowledge base. The present paper seeks to un­derstand the role of the crowdsourcing mechanism through the intellectu­al capital framework, resulting in a renewed knowledge base. The model was empirically tested using a data set obtained through a questionnaire fulfilled by representatives of enterprises in the Republic of Srpska, Bosnia and Herzegovina, using partial least squares structural equation modelling. The findings reveal that crowdsourcing causes significant linkages between intellectual capital dimensions among which crowdsourcing-human cap­ital and crowdsourcing-structural capital contribute more to enterprise re­newal of knowledge base. Research results could assist managers in strate­gic decisions in resource allocation in promoting and sustaining knowledge dissemination to increase the renewal capability of enterprises.

Amra Banda, G. Johnson, G. Cunha

Radiation-based local-regional therapies for hepatocellular carcinoma (HCC) have gained wide acceptance due to promising rates of tumor response, survival, and safety profiles. After treatment, it is important to assess tumor response to determine further management, patient prognosis, and endpoint outcomes for clinical trials. To standardize imaging interpretation and reporting of HCC response to local-regional treatment, a few imaging-based response assessment systems were developed. Two of them have emerged as the most used: the Liver Imaging Reporting and Data System (LI-RADS) Treatment Response Algorithm (LR-TRA) and the modified Response Evaluation Criteria in Solid Tumors (mRECIST). While these systems have been validated for the assessment of response to ablative locoregional therapies, assessment of response to radiation-based therapies can be challenged by persistent or evolving imaging features and is still an area of active research. Following the advances in technology and a better understanding of tumor biology that allowed for the increased application of radiation-based local-regional therapies for the treatment of HCC, research is still needed to address the limitations of current imaging criteria for assessing tumor response to these novel techniques. In this review, we describe radiation-based liver-directed treatment options, examine imaging criteria for assessing treatment response, discuss practical limitations and gaps in knowledge when applying these response criteria, and address future directions that may help to improve accuracy and outcomes when assessing response to radiation-based HCC treatment.

M. Kašanin-Grubin, G. Veselinović, Nevena Antić, G. Gajica, S. Stojadinović, A. Šajnović, S. Štrbac

Soil erosion is a problem that affects the landscape at different scales and represents a serious challenge for land management and soil conservation in both natural forests and meadows. The aim of this study was to determine how the parent material and land use affect the physical and chemical properties of the soil in the area of the Fruska gora Mountain. The soils were developed on five bedrock types: serpentinite, marl, trachyte, shale, loess and two land use types: forest and meadow. Twenty-three forest soil and 24 meadow soil from a depth of 0-20 cm were sampled from the Fruska gora Mt. Following properties were determined: pH, electrical conductivity, oxidation-reduction potential, content of organic carbon, sodium adsorption ratio, aggregate size and stability. There is no statistically significant difference in pH, Eh, EC, and SAR values between the analyzed forest and meadow soils, but there is a statistically significant difference in the content of Corg. It can be conculded that both the parent matrial, and to a slightly less extent, land use have a great influence on physico-chemical properties of the soil.

Carlo Allocca, Samia Jilali, Rohit Ail, Jaehun Lee, Byungho Kim, A. Antonini, E. Motta, J. Schellong et al.

A. Luschi, Camilla Petraccone, G. Fico, L. Pecchia, E. Iadanza

The healthcare environment is made up of highly complicated interactions between many technologies, activities, and people. Ensuring a solid communication between them is vital to ease the healthcare management. Semantic ontologies are knowledge representation tools that implement abstractions to fully describe a given topic in terms of subjects and relations. This scoping review aims to identify and analyse available ontologies which can depict all the available use-cases that describe the hospital environment in relation to the European project ODIN and its future expansion. The review has been conducted on the Scopus database on January 13th, 2023 using the PRISMA extensions for scoping reviews. Two reviewers screened 3,225 documents emerged from the database search. Further filtering led to a final set of 32 articles to be analysed for the results. A set of 34 ontologies extracted by the identified articles has been analysed and discussed as well. The results of this study will lead to the implementation of a common integrated ontology which could hold information about healthcare entities as well as their semantic relationships, strengthen data exchange and interconnections among people, devices and applications in an expanded scenario which include Internet of Things, robots and Artificial Intelligence.

P. Ciambelli, L. Palma, Leone Mazzeo, Tamara Boscarino, Maria Beatrice Falasconi, S. Polvi, V. Piemonte, L. Pecchia

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