EDP Sciences

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    Vers une recherche en pédagogie des sciences de la santé à la fois rigoureuse, pertinente et durable : enjeux contemporains et recommandations

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    L’éducation médicale, en tant que domaine de recherche académique, a connu un développement remarquablement rapide au cours des dernières années et est désormais plus communément appelée Pédagogie des sciences de la santé. La recherche en pédagogie des sciences de la santé est appelée à jouer un rôle structurant dans l’évolution des formations en santé. Cependant, si ce domaine de recherche connaît un essor important, il reste cependant confronté à des risques majeurs. Cet article a pour objectifs de commenter ces défis selon trois axes : épistémologique, méthodologique, et organisationnel, et de formuler des recommandations pour soutenir des programmes de recherche cohérents, durables, épistémologiquement et méthodologiquement pluriels, et portés par des équipes performantes

    Discovery of 1

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    We report the detection of the polycyclic aromatic hydrocarbon (PAH) 1H-cyclopent[cd]indene (c-C11H8) in TMC-1 with the QUIJOTE line survey. We detected 22 independent lines corresponding to 88 rotational transitions with quantum numbers ranging from J = 19 up to J = 24 and Ka ≤ 5 in the Q-band range. The identification of this new PAH was based on the agreement between the rotational parameters derived from the analysis of the lines and those obtained by quantum chemical calculations. The column density derived for 1H-cyclopent[cd]indene is (6.0 ± 0.5) × 1012 cm−2, with a rotational temperature of 9 K. Its abundance is high, as is that of the rest of the PAHs, but it is the lowest of all those detected to date in TMC-1, being 2.66 times less abundant than indene and 4.66 times less than phenalene. This result will help us to better understand the growth of five- and six-membered rings in dark clouds. Chemical models explaining their formation through the bottom-up model are still very incomplete and require further experimental and theoretical effort. Even so, the most likely formation reactions would occur between the smallest rings with small hydrocarbons; the most probable reaction for the formation of cyclopentindene is that between indene and C2H, C2H3, and/or their cation

    ENSO and IOD influence on Indonesian Throughflow variability in the Makassar Strait and Banda Sea

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    The Indonesian Throughflow (ITF) is a critical component of global ocean circulation, yet its response to simultaneous climate phenomena remains complex. This study examines the influence of El Niño- Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD) on oceanographic anomalies in the Makassar Strait and Banda Sea from 2021 to 2024. Satellite data for sea surface temperature (SST), chlorophyll-a (Chl- a), sea surface salinity (SSS), and surface current velocity (CUR) were analyzed to identify spatial distribution patterns during different climate phases. During La Niña, positive SST anomalies were observed due to strengthened ITF warm water transport and reduced upwelling. Conversely, during El Niño–IOD+ phases, SST anomalies were more localized, and Chl- a concentrations significantly decreased, particularly in the Banda Sea. Statistical analysis revealed that ENSO has a strong negative correlation with Chl-a (r = -0.58) and a strong positive correlation with CUR (r = 0.68) in the Makassar Strait. The findings highlight that ENSO and IOD act as primary drivers of regional oceanographic variability, significantly altering the biological and physical characteristics of the ITF corridors

    Simulated ocean dynamics and lagrangian trajectory analysis in the Andaman Sea

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    The Andaman Sea is a complex tropical basin significantly influenced by monsoonal forcing, which dictates regional circulation and water mass properties. This study utilizes a high-resolution (1/36º) CROCO ocean model and the Ichthyop Lagrangian tool to analyze circulation, thermohaline structure, and particle trajectories from 2015 to 2019. Findings indicate that monsoons drive substantial seasonal variability; the Northeast Monsoon promotes a northward flow of low-salinity water from the Malacca Strait, while the Southwest Monsoon facilitates saline Indian Ocean intrusion. Vertical analysis shows the thermocline fluctuating between 30 and 180 m, primarily influenced by Indian Ocean Dipole (IOD) events. EOF analysis revealed dominant annual periodicities of 341 days for temperature and salinity, while Lagrangian simulations identified particle retention along Sumatra during the Northeast Monsoon and westward export into the Indian Ocean during the Southwest Monsoon. Mean meridional volume transport was calculated at +0.32 Sv. These results provide a critical scientific basis for understanding regional biological connectivity and transboundary marine debris management in the Andaman region

    Occurrence of whale sharks (

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    Whale sharks are megafauna that inhabit tropical and warm subtropical seas as filter feeders and prey on small-sized organisms by filtering seawater. Environmental factors, such as sea surface temperature (SST), salinity (Sal), chlorophyll-a (Chl-a), ocean surface currents (currents), and the abundance of certain small marine biota, play a role in the appearance of whale sharks. This study aimed to analyze the oceanographic factors influencing whale shark appearance. Whale shark occurrence data were collected between June 2022 and July 2024. The number of whale sharks appearing in the waters of Botubarani Beach in 2022, 2023, and 2024 were 224, 337, and 219, respectively. Principal Component Analysis (PCA) was used to identify the most influential oceanographic parameters affecting whale shark occurrence. The seasonal averages of several environmental parameters in the waters of Botubarani Beach, aligned with the whale shark appearance periods, were as follows: sea surface temperature (SST) 20.03 °C, salinity 33.35 PSU, chlorophyll-a, 0.135 mg/m³; and surface current speed 0.16 m/s. PCA results indicate that the most influential environmental oceanographic parameters on whale shark occurrence at Botubarani Beach are the surface current velocity and surface chlorophyll-a concentration

    Entropy of the cell fluid model with Curie–Weiss interaction

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    Entropy of the cell fluid model with Curie–Weiss interaction is obtained in analytical form as a function of temperature and chemical potential. A parametric equation is derived representing the entropy as a function of density. Features of both the entropy per particle and the entropy per cell are investigated at the entropy-density and entropy-chemical potential planes. The considered cell model is a multiple-occupancy model and possesses an infinite sequence of first-order phase transitions at sufficiently low temperatures. We find that the entropy exhibits pronounced minima at around integer-valued particle densities, which may be a generic feature of multiple-occupancy models

    Problems and Challenges in LLM-Based Intelligent Traffic Motion Prediction under Cyberattacks

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    As autonomous driving systems evolve towards higher levels of autonomy, large language models (LLMs) are increasingly being introduced for understanding complex traffic scenarios and motion prediction, demonstrating their potential in processing multimodal and unstructured information. The core argument of this paper is that the inherent characteristics of LLMs, such as their susceptibility to hallucinations and extreme sensitivity to input perturbations, fundamentally conflict with the determinism and robustness sought by classical control theory. This conflict is further amplified in the context of cyberattacks, potentially jeopardizing the closed-loop stability and safety of autonomous driving systems. This paper will discuss these issues from the core dimensions of control theory, including attack-detection-defend and control system, aiming to provide a critical perspective and potential research directions for building safe, reliable, and trustworthy next-generation intelligent transportation systems (ITS)

    Main and inter-pulse interaction in PSRs J1842+0358 and J1926+0737: evidence of inter-pole communication

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    Our understanding of the elusive radio-pulsar emission mechanism would be deepened by determining the locality of the emission. Pulsars in which the two poles interact might help us to solve this challenge. We report the discovery of interacting emission between the main and the inter-pulse in two pulsars, J1842+0358 and J1926+0737, based on FAST and MeerKAT data. When the emission is bright in one pulse, it is dim in the other. Even when split into just two groups (strong versus weak), the anti-correlated brightness can change by a factor of ≳2. Both sources furthermore show the same quasi-periodic modulation from the main and inter-pulse at timescales exceeding 100 pulse periods. The longitude stationary modulation from at least one pulse suggests that it is a key signature for inter-pulse pulsars with a main and inter-pulse interaction. If the interaction occurs within an isolated magnetosphere without external influences, either communication between the opposite poles is required, or global changes drive both. This detailed study of these two sources was only made possible by an improved sensitivity. The fact that both show two-pole modulation strongly suggests that this is a general phenomenon in inter-pulse pulsars. In regular pulsars, only one pole is visible, and a number of these regular pulsars show correlated changes between the profile and the spin-down rate that are also thought to be caused by global magnetospheric changes. Our results strengthen the case that these interactive magnetospheres are common to all pulsars

    A molecular dynamics simulation of thermalization of crystalline lattice with harmonic interaction

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    Understanding the realization of thermal equilibrium through the thermalization process in a many-body system is a fundamental and complex scientific question, bridging thermodynamics and classical dynamics and connecting to a host of physical phenomena, such as mechanical instabilities in a thermal environment. In this work, based on the harmonic lattice model, we investigate the thermalization process in both velocity and coordinate spaces, by examining microscopic dynamics on the atomic level. We show the distinct relaxation rates of the transverse and longitudinal components of the velocity, reveal the power law governing the nonlinear proliferation of dominant frequencies, and observe the concurrent rapid proliferations of frequencies and topological defects. We also show that the lattice system’s persistent out-of-plane deformations exhibit two-stage fluctuation behaviors, characterized by distinct power laws of fractional exponents and associated with the broken up-down symmetry. This work demonstrates the rich dynamics underlying the thermalization process and advances our understanding on the dynamical adaptations of many-body systems to external disturbances

    Integration of Renewable energy sources with Battery Energy Storage for Line Loss Reduction in Distribution Networks using HALACBO algorithm

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    Line loss is a critical indicator of energy management efficiency in low-voltage power systems, with transformer areas contributing significantly to overall distribution losses. It is vital to reduce these losses to enhance efficiency, minimize wastage of energy, and enable sustainable power distribution. A new hybrid optimization method, HALACBO, which combines the Artificial Lemming Algorithm (ALA) with Coyote and Badger Optimization (CBO), is presented in this research. The method emphasizes finding the best location and size of distributed generation (DG) units and solving voltage profile enhancement and harmonic distortion constraints. Renewable energy sources (RES) like photovoltaic (PV) systems, wind turbines, and battery energy storage systems (BESS) are integrated in order to improve grid performance. Simulation results based on the IEEE 33-bus test system implemented in MATLAB confirm that the devised model effectively mitigates line losses providing better results. The results validate HALACBO's capability to improve efficiency and integration of renewables. When compared to other existing algorithm, the proposed technique has low fitness value at 20 iterations

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    EDP Sciences OAI-PMH repository (1.2.0)
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