Description et analyse d’un dispositif pédagogique destiné à renforcer l’interdisciplinarité dans un Master interdisciplinaire by Florian Dufour, Nathalie Nyffeler

“…Principles of integration, collaboration and non-disciplinary synthesis/conception of reality are at the heart of the skills that students must develop through their work related to the module, which is based in particular on experiential learning in the context of projects focused on solving real world issues. After presenting the theoretical elements and their application in the PAP, we detail the elements and results of an empirical study designed to collect the evaluations of students who have experienced the pedagogical approach of the PAP. …”
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Principles of occupational medicine: an educational case study of hazards and risks for Dr “Indiana” Jones by Thomas C. Erren, Christopher Dietrich, Jonas Wallraff, Florian Glenewinkel, Andreas Pinger, Philip Lewis

“…Educational case study We review the fictional example of “Indiana” Jones as an educational vector to illustrate principles of occupational medicine in real-world scenarios. Conclusion After reviewing the Jones saga regarding potential hazards (physical – biological – chemical – psychosocial), we provide a practical outlook on the workplace health for readers with a non-occupational medicine background.…”
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A hybrid MARWIP-CODAS techniques for optimizing sourcing decisions in complex Fermatean fuzzy N soft sets by Anukokila Paraman, Nishanthini Rajendran, Radhakrishnan Bheeman

“…Furthermore, we employ the hybrid decision-making approach to an IVCFFNs environment to deal with complex uncertainty information in real-world decision-making problems. In addition, to illustrate the utility and uniqueness of this approach, the proposed model is adapted to supplier selection problem and the obtained results are compared with other standard group decision-making methods.…”
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Deep learning for object recognition: A comprehensive review of models and algorithms by Paschalis Tsirtsakis, Georgios Zacharis, George S. Maraslidis, George F. Fragulis

“…The rapid advancements in artificial intelligence (AI) and machine learning (ML) have significantly enhanced progress in computer vision, opening doors to innovative technological possibilities and enabling a range of real-world applications. Despite these developments, object recognition remains a complex domain with persistent challenges and limitations. …”
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Balancing mitigation strategies for viral outbreaks by Hamed Karami, Pejman Sanaei, Alexandra Smirnova

“…Five different scenarios of epidemic progression were considered: (ⅰ) the 'no control' scenario, reflecting the natural evolution of a disease without any safety measures in place, (ⅱ) the 'reconstructed' scenario, representing real-world data and interventions, (ⅲ) the 'social distancing control' scenario covering a broad set of behavioral changes, (ⅳ) the 'vaccine control' scenario demonstrating the impact of vaccination on epidemic spread, and (ⅴ) the 'both controls concurrently' scenario incorporating social distancing and vaccine controls simultaneously. …”
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Parallel median consensus clustering in complex networks by Md Taufique Hussain, Mahantesh Halappanavar, Samrat Chatterjee, Filippo Radicchi, Santo Fortunato, Ariful Azad

“…Our parallel algorithm achieves 35x speedup when utilizing 64 processing cores for large real-world graphs representing mass cytometry data from single-cell experiments.…”
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Persevering Routing Technique Based on Event Occurrence Patterns for Wireless Sensor Networks by Majid Rafigh, Maghsoud Abbaspour

“…While the sensing objectives of these environments are unique and application dependent, a common performance criteria for wireless sensor networks is prolonging network lifetime while satisfying coverage and connectivity in the deployment region. In many real-world scenarios, reoccurring spatial patterns of occurrence could be identified in the sensed event information. …”
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Metasurface-Enabled Microphotonic Biosensors via BIC Modes by Francesco Dell’Olio

“…Recent advancements in BIC-enabled metasurfaces have demonstrated ultra-low detection limits in the zeptomolar range, making these devices highly promising for real-world applications. This review paper critically discusses the design principles of BIC-based biosensors, emphasizing key factors such as material selection, structural asymmetry, and functionalization strategies that enhance both sensitivity and specificity. …”
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Theory and Application of Interval-Valued Neutrosophic Line Graphs by Keneni Abera Tola, V. N. Srinivasa Rao Repalle, Mamo Abebe Ashebo

“…The interval-valued neutrosophic graph is a fundamental issue in graph theory that has wide applications in the real world. Also, problems may arise when partial ignorance exists in the datasets of membership [0, 1], and then, the concept of IVNG is crucial to represent the problems. …”
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A Consensus Community-Based Spider Wasp Optimization for Dynamic Community Detection by Lin Yu, Xin Zhao, Ming Lv, Jie Zhang

“…There are many evolving dynamic networks in the real world, and community detection in dynamic networks is crucial in many complex network analysis applications. …”
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A Simultaneous Control, Localization, and Mapping System for UAVs in GPS-Denied Environments by Rodrigo Munguia, Antoni Grau, Yolanda Bolea, Guillermo Obregón-Pulido

“…This work contributes a flexible architecture capable of addressing the challenges of autonomous UAV navigation and mapping, with potential for further development and real-world application.…”
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A Family of Optimal Eighth Order Iteration Functions for Multiple Roots and Its Dynamics by Saima Akram, Faiza Akram, Moin-ud-Din Junjua, Misbah Arshad, Tariq Afzal

“…A variety of numerical test functions along with some real-world problems such as beam designing model and Van der Waals’ equation of state are presented to ensure that the newly developed family efficiently competes with the other existing methods. …”
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DETECTION AND RECOGNITION OF IRAQI LICENSE PLATES USING CONVOLUTIONAL NEURAL NETWORKS by Mohammed Hayder Abbas, Zeina Mueen Mohammed

“…This approach leverages the strengths of YOLOv8 in handling complex patterns and variations in license plate designs, showcasing significant promise for real-world applications in vehicle identification and law enforcement. …”
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A Novel Prediction Model for Car Body Vibration Acceleration Based on Correlation Analysis and Neural Networks by Shubin Zheng, Qianwen Zhong, Xiaodong Chai, Xingjie Chen, Lele Peng

“…This paper aims to create a prediction model for car body vibration acceleration that is reliable, effective, and close to real-world conditions. Therefore, a huge amount of data on railway parameters were collected by multiple sensors, and different correlation coefficients were selected to screen out the parameters closely correlated to car body vibration acceleration. …”
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Analysis of the Effectiveness of Information and Communication Technology in the Sustainable Urban Development Process (Case study: West Urban Areas of Kermanshah Province) by mohtaram mirzaeian, bijan rahmani, majid shams, abbas malekhoseini

“…The real world has been created of extremely complex mosaics. …”
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Performance Evaluation of Real-time DustTrak Monitors for Outdoor Particulate Mass Measurements in a Desert Environment by Wasim Javed, Bing Guo

“…Abstract Using the filter-based gravimetric technique as the reference method, this study aimed to evaluate the performance of the TSI DustTrak DRX® aerosol monitor, which offers real-time measurements, and establish suitable factors for bias correction in real-world operating conditions. Overall, the DustTrak demonstrated high precision in tracking the PM2.5 and PM10 mass concentrations; however, the measurements significantly deviated from those obtained via the reference method, showing an overestimation by a factor of ~2 for the fine fraction and an underestimation by ~20% for the coarse one. …”
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Exploring district heating systems: A SCADA dataset for enhanced explainabilityMendeley Data by Stevica Cvetković, Milan Zdravković, Marko Ignjatović

“…Optimizing District Heating Systems (DHS) to achieve sustainability objectives and minimize costs requires access to comprehensive real-world datasets. This paper introduces a dataset comprising field data collected from a DHS system featuring five heating substations installed in residential buildings within the city of Niš, Serbia. …”
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Hybrid mechanical metamaterials: Advances of multi-functional mechanical metamaterials with simultaneous static and dynamic properties by Ana Carolina Azevedo Vasconcelos, Dingena Schott, Jovana Jovanova

“…Although such metamaterials introduced significant contribution for solving independently static and dynamic problems, they were facing certain resistance to their use in real-world engineering problems, mainly because of a lack of integrated systems possessing both mechanical and vibration attenuation performance. …”
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Modified artificial fish swarm algorithm to solve unrelated parallel machine scheduling problem under fuzzy environment by Azhar Mahdi Ibadi, Rosshairy Abd Rahman

“…Unrelated parallel machine scheduling problem (UPMSP) in a fuzzy environment is an active research area due to the fuzzy nature of most real-world problems. UPMSP is an NP-hard problem; thus, finding optimal solutions is challenging, particularly when multiple objectives need to be considered. …”
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m-step inverse fuzzy mixed competition graphs by Rahul Mondal, Ganesh Ghorai

“…The notion of competition graphs has a wide range of applications and has been utilized in designing various ecological problems and real-world competitions. Here, the idea of m-step inverse fuzzy mixed competition graphs has been introduced and some of its basic properties have been discussed. …”
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