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Background: Global supply chains are confronted with the challenge of ensuring on-time deliveries while simultaneously enhancing supply chain resilience. Conventional methods aim to address the complexities of modern supply chains, promoting the transition to intelligent and data-driven strategies. Methods: This research represents an innovative methodology for predicting the risk of late deliveri
Aim of the study was to access how individual's motives for participation in sports impact on self-reported outcomes 2 years after an anterior cruciate ligament injury. Based on a longitudinal cohort study, this secondary analysis present data from the Knee Anterior Cruciate Ligament, Nonsurgical versus Surgical Treatment (KANON) study, a randomized controlled trial. At baseline, 121 patients reco
The development of biomaterials for wound healing applications requires providing a number of properties, such as antimicrobial action, facilitation of cell proliferation, biocompatibility and biodegradability. The aim of the present study was to investigate morphological and mechanical properties of zein-based microfibers, ultimately aimed at creating an environment suitable for wound healing. Th
While ecosystem service (ES) assessments become a more and more important source of knowledge, there is a need for synthesis approaches that make the results usable to support decisions. Effective synthesis approaches can reduce the information burden produced by multiple ES assessments and help decision-makers to compare alternative options and to assess their impacts. In this review, we focus on
Traditional basal-bolus and closed-loop artificial pancreas therapy for type 1 diabetes mellitus were studied in the present work and novel insulin delivery profiles have been identified. Type 1 diabetes is a chronic condition resulting from autoimmune destruction of the pancreatic insulin producing β-cells. Inadequate insulin secretion prevents efficient glucose metabolism and is a serious health
Automatic composition of geospatial web services increases the possibility of taking full advantage of spatial data and processing capabilities that have been published over the internet. In this paper, a multi-agent artificial intelligence (AI) planning solution was proposed, which works within the geoportal architecture and enables the geoportal to compose semantically annotated Open Geospatial
Popular Abstract in English A handful of diseases-causing pathogenic microorganisms claim millions of lives worldwide each year, mainly due to limited diagnostic capabilities. The lack of simple, cost-effective, sensitive and rapid on-site diagnostic tools lead to delays in the diagnoses with a subsequent lag in treatment, which in turn can result in serious complications or even loss of lives. Fast and sensitive detection of pathogenic microbial cells is a highly important task in medical diagnostics, environmental analysis and evaluation of food safety. Accordingly, the idea of microorganism identification by the recognition of specific DNA sequence using electrochemical technique is one of the leading researches in the development of diagnostic devices. In other words, it should only
