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Abstract: This month’s edition of the IFAI Global Risk Radar offers a comprehensive assessment of global risk signals, derived from news sources worldwide and IFAI’s expanded taxonomy of financial, operational, environmental, market, geopolitical, and systemic risks. The analysis indicates a marked divergence among risk groups, with customer-facing risks, organisational culture, and operational disruptions exhibiting elevated Risk Frequency Indicators, while environment-related and ESG-linked risks remain in a cooling phase. At the individual-risk level, corruption and fraud, change-management failures, and water-supply crises show the strongest upward deviations relative to historical patterns, reffecting a broader global environment characterised by governance concerns, infrastructure fragilities, and climate-related stress. Several high-frequency indicators display co-movements that align with recent geopolitical escalation, heightened market volatility, and tightening financial conditions in multiple regions. These findings align with recent international policy reports that document persistent inffationary pressures (IMF, 2025), governance-related vulnerabilities (OECD, 2025a), and rising political instability in several emerging markets (World Bank, 2025). For companies, the implications are substantial: a combination of structural shocks, rapid shifts in investor sentiment, and intensifying supply-chain fragility requires a more adaptive and data-driven risk management approach.
Keywords: risk register, AI detection risk model, high frequencies analysis
Published in DKUM: 12.12.2025; Views: 0; Downloads: 1
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Abstract: This paper presents numerical solving of the inverse bioheat problem to estimate four skin cancer parameters; diameter, thickness, blood perfusion rate and thermal relaxation time, based on the thermal response on the skin surface obtained by dynamic thermography and numerical skin cancer model, which can greatly enhance dynamic thermography diagnostics. To describe the heat transfer inside biological tissue and thermal behavior during the dynamic thermography process as realistic as possible, the non-Fourier dual-phase-lag bioheat model was used, as well as skin cancer model has been composed of multilayered healthy skin, embedded skin tumor and subcutaneous fat and muscle. Boundary element method has been used to solve a complex non-Fourier bioheat model to simulate dynamic thermography based on the skin cancer model and guessed searched parameters to obtain the thermal response on the skin surface during the cooling and rewarming phase using a cold air jet provocation, which is needed for the solution of the inverse bioheat problem. The inverse problem has been solved by optimization approach using the hybrid Levenberg-Marquardt optimization method, while the measurement data has been generated numerically with known exact tumor parameters and added noise, to evaluate the accuracy and sensitivity of the solution. Inverse problem solution has been tested for two different thermal responses; absolute temperature and temperature difference response, as well as for two different tumor stages; early stage or Clark II and later stage or Clark IV tumor. All important tumor parameters were successfully retrieved, especially the diameter and relaxation time, even for the high level of noise, while the accuracy of obtained parameters is slightly better using absolute temperature response. The results demonstrate the robustness of the method and a promising way for early diagnosis. The findings contribute to improving bioheat modeling in biological tissues, solving inverse bioheat problems and advancing dynamic thermography as a non-invasive tool for early skin cancer diagnosis.
Keywords: numerical modeling, dynamic thermography, inverse problem, non-Fourier bioheat transfer, dual-phase-lag model, boundary element method, Levenberg-Marquardt optimization
Published in DKUM: 09.12.2025; Views: 0; Downloads: 6
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Abstract: Magistrsko delo obravnava povezavo med organizacijsko kulturo in doseganjem strateških ciljev v srednje velikem podjetju iz IT-sektorja skozi model konkurenčnih vrednot. V središču je vprašanje skladnosti med kulturo, ki jo zasleduje vodstvo, in kulturo, ki jo doživljajo zaposleni, saj razhajanja otežujejo uresničevanje zastavljenih ciljev. Analiza vrednot, poslanstva, vizije in poslovnih ciljev z vidika modela konkurenčnih vrednot pokaže poudarek na kombinaciji klanske in tržne kulture, okrepljene z izbranimi elementi ad hoc kulture. Zaposleni dojemajo kulturo podjetja kot dominantno klansko kulturo (33,6), ki jo dopolnjuje tržna kultura (25,6), ob zmerni prisotnosti ad hoc kulture (21,4) in najnižji izraženosti hierarhične kulture (19,4). Primerjava trenutne in želene organizacijske kulture kaže delno skladnost, a tudi razhajanja. Za hitrejše doseganje ciljev je klanska kultura premočna, ad hoc tip kulture premalo izražen, hierarhičnega tipa pa je več, kot bi pričakovali glede na analizo ciljev. Dojemanje kulture se med zaposlenimi, ki delajo hibridno ali na daljavo, ne razlikuje statistično značilno. Največ podpore potrebujejo dimenzije organizacijsko vodenje, management zaposlenih, organizacijsko lepilo in merila uspeha. Ker je klanska kultura že zadostno podprta, smo se osredotočili na priporočila za razvoj in podporo ad hoc kulturi. Priporoča se uskladitev metrik, nagrajevanja in odločanja z izbranimi poudarki, saj kulturna skladnost zmanjšuje trenja in poveča osredotočenost na rezultate.
Keywords: organizacijska kultura, organizacijski cilji, model konkurenčnih vrednot, IT-sektor, klanska kultura, ad hoc kultura
Published in DKUM: 03.12.2025; Views: 0; Downloads: 7
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Abstract: Predicting phase-change heat transfer in two-phase closed thermosyphons (TPCTs) represents a significant challenge owing to the complex interaction of boiling, condensation, and conjugate heat transfer (CHT) mechanisms. This study presents a numerical investigation of a TPCT using the Combined Boiling Model (CBM) within a conjugate heat transfer (CHT) framework. Unlike prior TPCT studies, the CBM integrates an improved RPI-based wall boiling model with sliding bubble dynamics, a laminar film condensation closure, and Lee-type bulk phase change in a single, energy-consistent formulation suited for engineering-scale meshes and time-steps. Building on these extensions, we demonstrate the approach on a vertical TPCT with full CHT and validate it against experiments and a VOF–Lee reference. Simulations for heat loads ranging from 173 to 376 W capture key flow features, including vapour generation, vapour-pocket dynamics, and thin-film condensation, while reducing temperature deviations typically below 3% in the evaporator and adiabatic sections and about 2 to 5% in the condenser. The results confirm that the CBM provides a physically consistent and computationally efficient approach for predicting evaporation–condensation phenomena in TPCTs.
Keywords: heat pipe, thermosyphon, multiphase, conjugate heat transfer, Combined Boiling Model (CBM), Euler–Euler
Published in DKUM: 27.11.2025; Views: 0; Downloads: 4
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Abstract: This chapter discusses the significance of communication in business growth, particularly in the context of the tourism industry and in the profession of a tour(ist) guide as tour(ist) guides are seen as key figures in tourist communication, often referred to as "spokespersons," "educators," and "entertainers." They play a significant role in conveying correct information while incorporating engaging stories and facts to enhance the tourist experience. The chapter touches the topic of storytelling that has become increasingly important in tourism as it can bridge the gap between the present, past, and future, evoking strong emotions of tourists. In addition to that, the text discusses the DRAMMA model (that emphasizes the importance of detachment recovery, autonomy, mastery, meaning, and affiliation in leisure experience) and its influence on vacation-time happiness.
Keywords: communication skills, tourism, tour guides, tourist guides, storytelling, DRAMMA model
Published in DKUM: 10.11.2025; Views: 0; Downloads: 0
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