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    A genetic algorithm-based method for solving multi-mode resource-constrained project scheduling problem in uncertain environment
    (Growing Science, 2020-01-01)
    Project scheduling models with resource constraints and multi-mode activities aims to create a schedule for carrying out activities considering precedence constraints and available resources in order to minimize the project duration. In the real world, we face uncertainty related to projects, where there are no historical data, hence, we should rely on the experts' judgements to estimate activity durations. For this purpose, in this paper, the 99-simulation method is used to deal with uncertainty. The exact mathematical programming model is presented in this paper and the hybrid algorithm based on Genetic Algorithm is used to solve this type of project scheduling problem which finds the near-optimal solution in a short computational time. Finally, the effectiveness of the proposed model is examined with a numerical example.
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    Simulation with system dynamics on university student research
    (Institute of Advanced Engineering and Science, 2022-10-01)
    Currently, student research at the university under study is carried out from the first semesters until the student graduates, but it is necessary to make adjustments to its guidelines that include student research within a teaching-learning process. The objective of the research is to propose a model of student research, using causal diagrams and forrester diagram; then carry out a simulation of the projection from 2021 to 2026 with the variables, students, quality teachers in the research, completed work for publication in journal or conference; and thus index in Scopus or Web of Science. Besides, in the methodological part, the systems dynamics method was applied, based on the systemic approach. The research work is predictive, which was carried out with the Vensim software, obtaining as a result of the simulation, an increase in the production of complete Works by the students; where in 2026 around 300 articles will be published by the students. In addition, there will be about 12 full-time quality research professors and approximately 6,000 students in 2026. The conclusion reached in the research is that the model helps the authorities make decisions appropriately according to the forecasts made in the different scenarios made with the Vensim software.
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    Socio-economic and health management of pandemics based on forgotten effects theory
    (Taylor & Francis, 2022-04-04)
    Intense and frequent changes increase uncertainty and complexity in decision-making. The COVID-19 pandemic exacerbates this situation. Therefore, the decision-maker seeks to reduce risks and meet these challenges. The manuscript aims to identify cause-effect relationships between variables affecting countries and changes caused by the COVID-19 pandemic and propose an algorithm to facilitate decision-making by identifying forgotten effects. The authors use thematic analysis to synthesize the semi-systematic literature review findings. The applied research uses a quantitative approach through modeling and simulation. The results highlight that the pandemic effects are associated with causes such as health care, political and economic stability, social justice, and the level of corruption. Decision-makers must prioritize the management of these variables guided by science. The main contribution is to show an algorithm that identifies forgotten effects in pandemics' socio-economic and health management, preventing future crises. In addition, the study advances the frontier of knowledge by addressing identified gaps and contributes to academia and policy makers. The most critical limitation is the number of variables included in this research. Future investigations could include analyses on the impact of climate change and sustainable development of nations and country-specific studies on the forgotten effects of the COVID-19 pandemic.
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    Quantum decoherence effects on precision measurements at DUNE and T2HK
    (Elsevier B.V., 2024-05-01)
    We investigate the potential impact of neutrino quantum decoherence on the precision measurements of standard neutrino oscillation parameters in the DUNE and T2HK experiments. We show that the measurement of δCP, sin2⁡θ13 and sin2⁡θ23 is stronger effected in DUNE than in T2HK. On the other hand, DUNE would have a better sensitivity than T2HK to observe decoherence effects. By performing a combined analysis of DUNE and T2HK we show that a robust measurement of standard parameters would be possible, which is not guaranteed with DUNE data alone.
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    DISCRETE SIMULATION OF TRAFFIC ACCIDENTS ON THE PERUVIAN HIGHWAY USING ARENA
    (Universidad Nacional de Colombia, 2025-02-12)
    This paper developed a simulation model in ARENA, taking into account its versatility and power, with the of studying possible crash scenarios on a Peruvian highway in the next five years. Based on the available data and the assumptions used in the probability distribution for each factor, crashes that may occur in the future, without changes in the actual road conditions, were simulated. The results, validated with real data from 2022 and 2023, showed the areas, periods of the year, days, hours, potential hazard vehicles that need more signage or human or technological control, to decrease the exponential generation rate which is currently 5.08 days. In conclusion, it is an important contribution of science to academia and safety practice to address the high vehicle accident rate, which is showing significant increases and needs to raise awareness among institutions and road users. Keywords: Simulation; Bus crashes; ARENA; Road Accidents, Safety
      1
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    Control Theory and Bayesian Networks for Black Spots Study
    (Institute of Electrical and Electronics Engineers Inc., 2025-01-01)
    Traffic accidents are recurring ordinary disruptive events in an urban road network. To measure the performance and recovery of an urban road network, it is necessary to identify and predict the locations on the network where they occur. The application of control theory to identify black spots has mainly focused on interstate and inter-regional highways. However, there is limited literature on the application of these theories to urban road networks and in the definition of black spots. This article introduces an innovative methodology for defining black spots based on control theory, which is adapted to urban road networks with appropriate measurement metrics that prove more suitable than those used following Euclidean norms. To predict whether a traffic accident occurs at a black spot, a Bayesian network is employed, which also indicates the reliability of the accident classification result. It demonstrates better efficiency than methodologies based on logistic regression and Naive Bayes, which is why this algorithm is chosen. The article concludes by measuring the impact of the most significant black spots in an urban road network in Metropolitan Lima, using the concept of transport resilience.
      2
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    Applying Minecraft Education as a Simulation Tool for Teaching Construction Management
    (Taylor & Francis, 2026-01-01)
    The construction and education sectors are facing the growing need for Construction 4.0 and 5.0 competencies, where traditional teaching methods fail to capture the dynamic nature of real construction projects. A method for achieving this is simulation-based learning, which is an experiential pedagogical approach that uses interactive scenarios to engage students in realistic decision-making experiences. For this reason, this study presents an innovative educational approach using Minecraft Education as a simulation tool for teaching construction management to undergraduate civil engineering students. In this research, three workshops were implemented at the university during autumn 2025, involving 89 undergraduate civil engineering students. The simulation enabled students to learn interactively competencies such as decision thinking, 3D building design, 4D time management, 5D cost control, and sustainability concepts. A pre-experimental design was carried out, and the posttest results differed significantly from the pretests results for the six questions related to the learning objective, with p-values less than 0.05 for both experimental groups. The Minecraft construction simulation has demonstrated its effectiveness as a simulation tool for teaching fundamental construction management concepts. This initiative can be considered a novel and a creative effort for construction management education.
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    Assessment of Hammer Energy Measurement for the Standard Penetration Test (SPT) Using Pile Driving Analyzer and Kallpa Analyzer Devices in Peru
    (Multidisciplinary Digital Publishing Institute (MDPI), 2025)
    Energy measurement in dynamic penetration tests is key to correctly interpreting test results and ensuring comparable geotechnical data. Although commercial devices are widely used, their high cost limits adoption in developing regions such as Peru, affecting the accuracy of soil evaluation in many geotechnical studies. In this context, this research presents an energy measurement system called Kallpa, which uses low-cost electronic components to digitize sensor signals during Standard Penetration Tests (SPTs). Kallpa employs high-resolution analog-to-digital converters (ADCs) with an advanced sampling frequency, processing and storing data via a Raspberry Pi 4 microcomputer. The sensors, including accelerometers and strain gauges, were calibrated and compared with the Pile Driving Analyzer (PDA) to validate their accuracy in the Kallpa system. This study involved sixteen Standard Penetration Tests (SPTs) conducted in various regions of Peru using donut hammers and two tests involving automatic hammers. The results demonstrate that the Kallpa system is comparable to other energy measurement devices on the market, such as the Dynamic Penetration Test (DPT), which provides accurate SPT energy measurements. The Kallpa Processor (Version 1.0) software was developed to perform data acquisition and calibration, analyzing approximately 500 hammer blows and comparing peak values with those of the Pile Driving Analyzer. The data collected by Kallpa’s sensors strongly agreed with the PDA data, validating the reliability of the device. The Energy Transfer Ratio (ETR) for manual hammers ranged from 43.5% to 68.4%, with an average of 58.9%, whereas automatic hammers presented ETR values between 82% and 87%. The correction of the N60 blow count allowed for the estimation of the relative density of soils evaluated at different depths and locations across Peru.
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    Testing protocol for evaluating underhand serve-reception biomechanics in volleyball
    (SAGE Publications, 2025)
    A testing protocol for conducting biomechanical underhand serve-reception evaluation in volleyball in match-like conditions is presented. A launcher sends a ball over the net toward the reception zone for the player to pass it to the setter; the ball is tracked with video cameras and the player’s articular information is captured by inertial sensors, force plates, and video cameras. Test-retest reliability and, known-groups and concurrent validity of the test are evaluated. Left knee, right knee, left shoulder, and right shoulder angles were highly reliable (ICC > 0.88), with low standard errors of measurement (%SEM < 13.07). Resultant normalized ground reaction forces were also reliable (ICC: 0.76, %SEM: 9.14). Professional and amateur athletes’ comparisons were statistically significant and non-trivial (p < 0.05, Cohen’s d > 0.49), with professionals’ body movements presenting small variance and symmetry between left and right limb variables, and amateurs’ presenting higher variance and greater asymmetry. Finally, each athlete’s left limb angles were compared against their corresponding sagittal Kinovea measurements for concurrent validity, obtaining acceptable correlation scores for amateur athletes (PCC > 0.79) and good correlation scores (PCC > 0.83) for professional athletes. The test offers a reliable and valid method for evaluating underhand serve-reception biomechanics in volleyball players.
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