Institution
Hellenic Mediterranean University
Recent research
- AI & ComputingOpen access
Consumer complaint narratives are an underused source of business and regulatory evidence. This study presents a proof-of-concept analytical framework for multi-dimensional complaint analysis and uncertainty-aware evidence synthesis, with potential use in human-in-the-loop decisi...
- Society & EconomicsOpen access
Despite advances in cancer treatment, the growing global cancer burden underscores the need for comprehensive and supportive care to address the needs of patients and their families. However, access to psycho-oncological support remains often limited across healthcare systems. Th...
- BiologyOpen access
Ant diversity and community structure in Greek olive orchards are under-researched, with only one study conducted to date, despite the extensive area occupied by olive orchards and their agronomic, ecological, and socioeconomic importance. In this study, we provide the first data...
- BiologyOpen access
Rootstock selection is associated with differences in grapevine mineral nutrition, vegetative performance, grape composition and potentially wine characteristics. This study comparatively assessed Malvasia di Candia Aromatica (Vitis vinifera L.) grafted onto 1103 Paulsen (1103 P)...
- Society & EconomicsOpen access
Traditional Earned Media Value (EMV) calculations suffer from methodological limitations by depending on oversimplified and outdated proxies like Advertising Value Equivalency (AVE). In service marketing, where offerings are intangible and consumers cannot inspect an offering bef...
- AI & ComputingOpen access
eBPF-based cybersecurity mechanisms: a systematic literature review
Abstract Extended Berkeley Packet Filter (eBPF) has emerged as a kernel-level programmable framework enabling dynamic security enforcement in modern operating systems. While eBPF’s potential for cybersecurity applications has attracted significant research attention, existing wor...
- Climate & EnvironmentOpen access
Accurate estimation of floodwater depth is vital for disaster management but traditionally relies on data-intensive hydrodynamic models or supervised deep learning restricted by labeled data requirements. To address these bottlenecks, this study proposes a fully unsupervised, tra...
- Health & MedicineOpen access
Abstract Background The primary aim was to identify combinations including ≥ 3 behavior change techniques (BCTs) that are jointly used in behavioral interventions for women with/survivors of breast cancer, and result in a simultaneous improvement of physical activity, healthy nut...