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Scheduling truck arrivals for efficient container flow management in port logistics
Daniil Baldouski, Miklós Ferenz Krész, Balázs Dávid, 2025, izvirni znanstveni članek

Opis: The management of truck arrivals at container terminals is crucial for efficient port operations. Congestions developing both outside and inside the gates can cause logistical problems, while also having a significant impact on the environment and the surroundings of the port. Therefore, optimizing truck queues outside the gates of the port, as well as routing of trucks inside the terminals can lead to an improve- ment in the overall efficiency of the port processes. This paper presents a mixed- integer linear programming formulation to determine these optimal truck routes and schedules. The model considers a port with an external parking lot, multiple gates, internal roadways, and docks. A rolling horizon heuristic is also developed for the solution of instances where the model is otherwise intractable. The developed meth- ods are evaluated on instances simulated based on real-world data.
Ključne besede: scheduling, port logistics, container flow optimization, simulation, mixed-integer linear programming
Objavljeno v RUP: 04.07.2025; Ogledov: 164; Prenosov: 2
.pdf Celotno besedilo (1,98 MB)
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Assessing medical training skills via eye and head movements
Kayhan Latifzadeh, Luis A. Leiva, Klen Čopič Pucihar, Matjaž Kljun, Iztok Devetak, Lili Steblovnik, 2025, objavljeni znanstveni prispevek na konferenci

Opis: We examined eye and head movements to gain insights into skill development in clinical settings. A total of 24 practitioners participated in simulated baby delivery training sessions. We calculated key metrics, including pupillary response rate, fixation duration, or angular velocity. Our findings indicate that eye and head tracking can effectively differentiate between trained and untrained practitioners, particularly during labor tasks. For example, head-related features achieved an F1 score of 0.85 and AUC of 0.86, whereas pupil-related features achieved F1 score of 0.77 and AUC of 0.85. The results lay the groundwork for computational models that support implicit skill assessment and training in clinical settings by using commodity eye-tracking glasses as a complementary device to more traditional evaluation methods such as subjective scores.
Ključne besede: eye movemens, head movements, simulation training
Objavljeno v RUP: 23.06.2025; Ogledov: 181; Prenosov: 8
.pdf Celotno besedilo (3,50 MB)
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Development and improvement of non-technical skills in interprofessional healthcare teams through simulation-based experiences : a systematic review
Patrik Pucer, Kristina Martinović, Igor Karnjuš, Jakob Renko, 2025, pregledni znanstveni članek

Opis: Background Simulation-based experiences (SBE) are widely used for developing non-technical skills (NTS), but their application in interprofessional healthcare teams training remains underexplored. Aim The aim was to explore the development and improvement of NTS in interprofessional healthcare teams through SBE. Methods A systematic review of literature from 2013 to 2023 was conducted using PubMed, Web of Science, and EBSCOHost. The risk of bias was assessed with Critical Appraisal Skills Programme Checklists. Results A total of 22 studies were included. Among NTS categories, teamwork and co-operation was identified in all studies, situation awareness in 18, leadership and management in 16, and problem-solving and decision-making in 14. Healthcare teams were predominantly composed of medical doctors and nurses. Care of critically ill patient was addressed in 12 studies, operative care in six, and other fields in four. High-fidelity simulators were used in 15 studies. Conclusions SBE may effectively develop and improve NTS in interprofessional teams. There are opportunities to broaden its application across healthcare systems and expand its use into less explored fields involving diverse professions.
Ključne besede: health professions, interprofessional healthcare teams, nontechnical skills, simulation-based experiences, systematic review
Objavljeno v RUP: 30.05.2025; Ogledov: 274; Prenosov: 11
.pdf Celotno besedilo (910,62 KB)
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In-network convolution in grid-shaped wired sensor networks
Niki Hrovatin, Aleksandar Tošić, Jernej Vičič, 2021, zaključena znanstvena zbirka raziskovalnih podatkov

Ključne besede: in-network convolution, DS3 simulation, wired sensor network
Objavljeno v RUP: 30.07.2021; Ogledov: 2125; Prenosov: 50
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