bluuebunny/crossref_metadata_2025_split huggingface dataset:
Análisis de una experiencia de docencia en universidad, en el contexto de SARS-Cov-2, desde la perspectiva de género
Authors: Riera Jaime , Tort-Ausina Isabel , Gómez-Tejedor José Antonio , Molina-Mateo José , Meseguer-Dueñas José María , Vidaurre Ana 
Published: April 2023

Después de la pandemia de 2020, en la Universitat Politècnica de València se propuso un modelo de docencia híbrida, en el que los y las estudiantes asistían presencialmente en semanas alternas. Además, el profesorado vulnerable impartía la docencia online y solamente en grupos de poco alumnado las clases fueron presenciales. Se realizó una experiencia en la asignatura de Electricidad del Grado en Ingeniería Electrónica y Automática Industrial de la UPV. En tres grupos, simultáneamente, se pusieron en práctica las tres metodologías: presencial (donde el número de estudiantes lo permitía), online (donde el profesor era vulnerable) e híbrida. En los tres grupos se utilizó docencia inversa y la misma programación y evaluación. El análisis ha mostrado que los resultados del modelo híbrido fueron significativamente peores que los del grupo presencial y el online, que mostraron resultados semejantes.Se ha analizado, desde una perspectiva de género, los resultados académicos y de una encuesta de opinión del alumnado, teniendo en cuenta las diferencias entre el trabajo individual y en equipo. Como conclusión, hemos comprobado una mayor resiliencia en las alumnas ante situaciones excepcionales. Su respuesta fue significativamente mejor que la de los alumnos, cuyos resultados fueron peores que los obtenidos en cursos previos.----------------------------------------------------------------After the 2020 pandemic, a hybrid teaching model was proposed at the Universitat Politècnica de València, in which students attended in person one week every two weeks. In addition, vulnerable teachers taught online and only groups with few students had face-to-face classes. An experience was carried out in the subject of Electricity of the Degree in Electronic Engineering and Industrial Automation at the UPV. In three groups, simultaneously, the three methodologies were put into practice: face-to-face (where the number of students allowed it), online (where the teacher was vulnerable) and hybrid. In the three groups, flipped teaching and the same programming and evaluation were used. The analysis has shown that the results of the hybrid model were significantly worse than those of the face-to-face and online groups, which showed similar results. Academic results and a student opinion survey have been analysed from a gender perspective, considering the differences between individual and teamwork. As a conclusion, we have verified a greater resilience in the female students in exceptional situations. Their response was significantly better than that of the male students, whose results were worse than those obtained in previous courses.
Capacitación en funcionamiento y seguridad de las centrales nucleares mediante el aprendizaje activo basado en simuladores de reactores
Authors: Juste Vidal Belen Jeanne , Miró Rafael , Barrachina Teresa , Verdú Gumersindo 
Published: April 2023

En la última década, y principalmente debido al avance tecnológico, se ha demostrado la efectividad de explorar nuevas estrategias de enseñanza. La tendencia más extendida es proporcionar un papel más "activo" a los estudiantes para promover su motivación de aprendizaje y mejorar su retención de contenidos. Entre otras técnicas, cabe destacar el uso de simuladores computacionales, que permiten potenciar la implicación de los alumnos en el aprendizaje. Esta metodología se está aplicando en una asignatura del Máster Universitario en Ingeniería Industrial de la UPV. El objetivo principal es optimizar la enseñanza a través de la "experiencia", y se ha demostrado cómo esta práctica tiene un enfoque más efectivo que las clases teóricas para enseñar los fundamentos de la tecnología nuclear. La biblioteca de simuladores de reactores PCTRAN utilizada, incluye modelos de centrales nucleares PWR y BWR convencionales y avanzadas. Basados principalmente en los modelos convencionales, se llevan a cabo diferentes ejercicios enfocados en el funcionamiento normal del reactor, maniobras de caída de potencia y apagado del reactor, diferentes transitorios de operación, así como la simulación de accidentes. Estos ejercicios ayudan a los estudiantes a aprender las complejas interacciones del sistema dentro de una planta de energía nuclear, alcanzando un aprendizaje activo, que en última instancia aumenta la tasa de retención.---------------------------------------------------------In the last decade, and mainly due to technological advancement, the effectiveness of exploring new teaching strategies has been demonstrated. The most widespread trend is to provide a more "active" role to students to promote their learning motivation and to improve their content retention. Among other techniques, it is worth mentioning the use of computational simulators, which allow to enhance the involvement of students in learning. This methodology is being applied in one subject of the Master's Degree in Industrial Engineering of the UPV. The main goal is to optimize teaching through "experience," and it has been shown how this practice has a more effective approach than theoretical classes to teach the fundamentals of nuclear technology. The library of PCTRAN (Personal Computer Transient Analyzer) reactor simulators used includes models of conventional and advanced PWR (Pressure Water Reactor) and BWR (Boiling Water Reactor) nuclear power plants. Based mainly on conventional models, different exercises are carried out focused on the normal operation of the reactor, maneuvering of reactor power drop and shutdown, different operating transients and simulation of accidents. These exercises help students learn the complex system interactions within a nuclear power plant, achieving active learning, which ultimately increases the retention rate.
A framework to improve surgery roadmap efficiency based on design thinking, lean manufacturing techniques, and operations research applications
Authors: Talero-Sarmiento Leonardo Hernán , Escobar-Rodriguez Laura Yeraldin , Cupaban Gloria A. , Cárdenas-Fontecha Mauren Slendy , Moreno-Corzo Feisar Enrique , Parra-Sanchez Diana Teresa 
Published: April 2023

A surgery patient is a unique medical patient due to its requirements, not in the treatment itself but its prevention of post-operative complications affecting the user's close circle experience. Indeed, the patient journey is a crucial cross-functional business process because of the action and information flow between stakeholders and medical systems. Poor patient flow can reduce productivity, increase the risk of harming patients, and reduce the level of quality perceived by patients. Thus, hospitals can enhance the quality of the processes by understanding this roadmap. Consequently, this work focuses on establishing a framework that details the medical patient roadmap considering three approaches: Design Thinking (DT), Lean Manufacturing Techniques, and Operations Research Applications (OR). This work implements the Lean manufacturing Techniques in healthcare (a.k.a., Lean Healthcare) to describe the roadmap's processes, bottlenecks, and mapping value. In parallel, the Design Thinking tools help to draw solutions through co-creation processes, including various stakeholders such as doctors, nurses, engineers, patients, and support staff. Finally, the Simulation tools help enhance the rapid prototyping regarding the roadmap's process modification. This work implements the three approaches in a healthcare institution in Colombia to improve surgery roadmap efficiency and compiled them into a theoretical framework.
СӨЙЛЕУ ТІЛІНДЕ БҰЗЫЛЫСТАРЫ БАР БАЛАЛАРҒА ЛОГОПЕДИЯЛЫҚ ТҮЗЕТУ ЖҰМЫСТАРЫН ТИІМДІ ҰЙЫМДАСТЫРУ
Authors: Ramazanova D.Zh. , Amanzholova A.G. , Yerlankyzy A. , Sembai G.K. 
Published: April 2023

The article describes the process of speech therapy correctional work, gives methodological recommendations on the organization and content of work with children with various speech disorders.
Мақалада логопедиялық түзету жұмысының үрдісісипатталған, әртүрлі сөйлеу бұзылыстары бар балалармен жұмысты ұйымдастыру және мазмұны бойынша педагогтарға әдістемелікұсыныстар берілген.
В статье описан процесс логопедической коррекционнойработы, даны методические рекомендациидля педагоговпо организации и содержанию работы с детьмис различными речевыминарушениями.
МҰҒАЛIМДЕРДІҢПСИХИКАЛЫҚ ДАМУЫ ТЕЖЕЛГЕН ЖӘНЕ ЖАЛПЫ СӨЙЛЕУ ТІЛІ ДАМЫМАҒАН БАЛАЛАРМЕН ЖҰМЫС ЖАСАУҒАДАЙЫНДЫҒЫН ҚАЛЫПТАСТЫРУ
Authors: Zholdybayeva K.D. , Nurmukhamedova E.O , ToleshovaT M. , Maygeldieva Sh. 
Published: April 2023

The article reveals the psychological and pedagogical characteristics of children with mental retardation and general underdevelopment of speech, gives recommendations to teachers on the organization of the educational process with children of this category.Key words:mental retardation, general underdevelopment of speech, readiness of teachers.
Мақалада психикалық дамуы тежелген және сөйлеудің жалпы дамымаған балалардың психологиялық-педагогикалық сипаттамалары анықталды, мұғалімдерге осы санаттағы балалармен білім беру процесін ұйымдастыру бойынша ұсыныстар берілді.Түйін сөздер:психикалық дамудың тежелеуі, сөйлеу тілінің жалпы дамымауы, мұғалімдердің дайындығы
Weekly high-resolution multi-spectral and thermal uncrewed-aerial-system mapping of an alpine catchment during summer snowmelt, Niwot Ridge, Colorado
Authors: Wigmore Oliver , Molotch Noah P. 
Published: April 2023

Abstract. Alpine ecosystems are experiencing rapid change as a result of warming temperatures and changes in the quantity, timing and phase of precipitation. This in turn impacts patterns and processes of ecohydrologic connectivity,
vegetation productivity and water provision to downstream regions. The fine-scale heterogeneous nature of these environments makes them challenging
areas to measure with traditional instrumentation and spatiotemporally coarse satellite imagery. This paper describes the data collection,
processing, accuracy assessment and availability of a series of approximately weekly-interval uncrewed-aerial-system (UAS) surveys flown over the Niwot Ridge Long Term Ecological Research site during the 2017 summer-snowmelt season. Visible, near-infrared and thermal-infrared imagery was collected. This unique series of 5–25 cm resolution multi-spectral and thermal orthomosaics provides a unique snapshot of seasonal transitions in a high alpine catchment. Weekly radiometrically calibrated normalised
difference vegetation index maps can be used to track vegetation health at the pixel scale through time. Thermal imagery can be used to map the
movement of snowmelt across and within the near sub-surface as well as identify locations where groundwater is discharging to the surface. A 10 cm resolution digital surface model and dense point cloud (146 points m−2) are also provided
for topographic analysis of the snow-free surface. These datasets augment ongoing data collection within this heavily studied and important
alpine site; they are made publicly available to facilitate wider use by the research community. Datasets and related metadata can be accessed through the Environmental Data Initiative Data Portal, https://doi.org/10.6073/pasta/dadd5c2e4a65c781c2371643f7ff9dc4 (Wigmore, 2022a), https://doi.org/10.6073/pasta/073a5a67ddba08ba3a24fe85c5154da7 (Wigmore, 2022c), https://doi.org/10.6073/pasta/a4f57c82ad274aa2640e0a79649290ca
(Wigmore and Niwot Ridge LTER, 2021a), https://doi.org/10.6073/pasta/444a7923deebc4b660436e76ffa3130c (Wigmore and Niwot Ridge LTER, 2021b), https://doi.org/10.6073/pasta/1289b3b41a46284d2a1c42f1b08b3807 (Wigmore and Niwot Ridge LTER, 2022a), https://doi.org/10.6073/pasta/70518d55a8d6ec95f04f2d8a0920b7b8 (Wigmore and Niwot Ridge LTER, 2022b). A summary of the available datasets can be found in the data availability section below.
The sea level time series of Trieste, Molo Sartorio, Italy (1869–2021)
Authors: Raicich Fabio 
Published: April 2023

Abstract. The sea level observations carried out at Trieste, Molo
Sartorio, from 1869 to 2021 have been revised and updated. Information on the tide gauges and on the geodetic benchmarks on Molo Sartorio during that
period have been collected. Basic quality checks have been applied. The
hourly data for the 1917–1938 period, digitized from the original charts, have allowed us to build a time series of hourly sea level heights from 1905 to 2021. Gaps of up to 24 h have been filled by interpolation. The errors affecting the monthly and annual mean sea levels have been estimated. The
availability of monthly and annual means prior to 1904 allowed us to build a mean sea level time series spanning 153 years, characterized by linear trends of an observed sea level of 1.36 ± 0.17 mm yr−1 and of
an inverse-barometer-corrected sea level of 1.45 ± 0.13 mm yr−1. A significant acceleration of 0.008 ± 0.004 mm yr−2 was estimated
from the inverse-barometer-corrected sea level time series. This data set
represents the most up-to-date data set of sea level observations and
ancillary information relative to the tide-gauge station of Trieste, Molo
Sartorio. The data are available through SEANOE (https://doi.org/10.17882/62758, Raicich, 2022).
Auroral alert version 1.0: two-step automatic detection of sudden aurora intensification from all-sky JPEG images
Authors: Yamauchi Masatoshi , Brändström Urban 
Published: April 2023

Abstract. A sudden and significant intensification of the auroral arc with expanding motion (we call it “local-arc breaking” hereafter) is an important event in many aspects but easy to miss for real-time watching due to its short rise time. To ease this problem, a real-time alert system for local-arc breaking was developed for the Kiruna all-sky camera (ASC) using ASC images in the JPEG format. The identification of the local-arc breaking is made in two steps using the “expert system” in both steps: (1) explicit criteria for classification of each pixel and simple calculations afterward are applied to each ASC image to obtain a simple set of numbers, or the “ASC auroral index”, representing the occupancy of aurora pixels and characteristic intensity of the brightest aurora in the image; (2) using this ASC auroral index, the level of auroral activity is estimated, aiming for Level 6 as clear local-arc breaking and Level 4 as a precursor for it (reserving Levels 1–3 for less active aurora and Level 5 for less intense sudden intensification). The first step is further divided into two stages. Stage (1a) uses simple criteria for R (red), G (green), and B (blue) values in the RGB color code and the H (hue) value calculated from these RGB values, each pixel of a JPEG image is classified into three aurora categories (from brightest to faintest, “strong aurora”, “green arc”, and “visible diffuse (aurora)”) and three non-aurora light source categories (“cloud”, “artificial light”, and “Moon”). Here, strong aurora means that the ordinary green color by atomic oxygen's 558 nm emission is either nearly saturated or mixed with red color at around 670 nm emitted, by molecular nitrogen. In stage (1b), the percentage of the occupying area (pixel coverage) for each category and the characteristic intensity of the strong aurora pixels are calculated. The obtained ASC auroral index is posted in both an ASCII format and plots in real time (https://www.irf.se/alis/allsky/nowcast/, last access: 11 April 2023). When Level 6 (local-arc breaking) is detected, an automatic alert email is sent out to the registered addresses immediately. The alert system started on 5 November 2021, and the results (both Level 6 detection and Level 4 detection) were compared to the manual (eye) identification of the auroral activity in the ASC during the rest of the aurora season of the Kiruna ASC (i.e., all images during a total of 5 months until April 2022 were examined and occasionally double-checked in the sky). Unless the Moon or the cloud blocks the brightened region, a nearly one-to-one correspondence between Level 6 and eye-identified local-arc breaking in the ASC images is achieved with an uncertainty of under 10 min.
Development and evaluation of a method to identify potential release areas of snow avalanches based on watershed delineation
Authors: Duvillier Cécile , Eckert Nicolas , Evin Guillaume , Deschâtres Michael 
Published: April 2023

Abstract. Snow avalanches are a prevalent threat in mountain territories.
Large-scale mapping of avalanche-prone terrain is a prerequisite for
land-use planning where historical information about past events is
insufficient. To this aim, the most common approach is the identification of potential release areas (PRAs) followed by numerical avalanche simulations. Existing methods for identifying PRAs rely on terrain analysis. Despite their efficiency, they suffer from (i) a lack of systematic evaluation on the
basis of adapted metrics and past observations over large areas and (ii) a
limited ability to distinguish PRAs corresponding to individual avalanche
paths. The latter may preclude performing numerical simulations
corresponding to individual avalanche events, questioning the realism of
resulting hazard assessments. In this paper, a method that accurately identifies
individual snow avalanche PRAs based on terrain parameters and watershed
delineation is developed, and confusion matrices and different scores are
proposed to evaluate it. Comparison to an extensive cadastre of past
avalanche limits from different massifs of the French Alps used as ground
truth leads to true positive rates (recall) between 80 % and 87 % in PRA numbers and between 92.4 % and 94 % in PRA areas, which shows the applicability of the method to the French Alps context. A parametric study is performed, highlighting the overall robustness of the approach and the most important steps/choices to maximize PRA detection, among which the
important role of watershed delineation to identify the right number of
individual PRAs is highlighted. These results may contribute to better understanding
avalanche hazard in the French Alps. Wider outcomes include an in-depth
investigation of the issue of evaluating automated PRA detection methods and a large data set that could be used for additional developments, and to
benchmark existing and/or new PRA detection methods.
ALTERACIONES RADIOLÓGICAS DENTOMAXILARES MÁS FRECUENTES EN PACIENTES DE LA CLINICA ODONTOLÓGICA - UNIVALLE COCHABAMBA 2010
Authors: Guarayo Molina Edwin , Solis M. Edmundo 
Published: April 2023

La radiografía dental es un valioso recurso auxiliar para el diagnóstico de las patologías en la cavidad bucal. Debe tenerse en cuenta que muchas patologías cursan de forma crónica y además sin una sintomatología manifiesta, es decir, que no presentan molestia alguna al paciente, por ello, existe una variedad de patologías que pueden ser descubiertas en un examen radiográfico de rutina y no por prescripción para cierta patología en especial.
Esta investigación fue de tipo prospectivo, transversal y descriptivo, con el objetivo de determinar las anomalías dentomaxilares de mayor frecuencia registradas en radiografías panorámicas de pacientes que acudieron al Servicio de Radiología de la Clínica Odontológica Univalle en el periodo comprendido entre el uno de marzo de 2010 al treinta de noviembre de 2010 según sexo y grupo etáreo.
El total de pacientes atendidos en este periodo fue de 616 pacientes, de los cuales la anomalía dental de mayor frecuencia en radiografías panorámicas fue la caries dental con 178 casos, la anomalía maxilar de mayor frecuencia fue el reborde óseo irregular con 9 casos. El sexo con mayor frecuencia de anomalías dentomaxilares correspondió al femenino con 385 casos y el rango de edad con mayor frecuencia de anomalías dentomaxilares fue el de pacientes mayores de 18 años con 387 casos.
Scaling Laws for the Energy Transfer in Space Plasma Turbulence
Authors: Marino Raffaele , Sorriso-Valvo Luca 
Published: April 2023

One characteristic trait of space plasmas is the multi-scale dynamics resulting from non-linear transfers and conversions of various forms of energy. Routinely evidenced in a range from the large-scale solar structures down to the characteristic scales of ions and electrons, turbulence is a major cross-scale energy transfer mechanism in space plasmas. At intermediate scales, the fate of the energy in the outer space is mainly determined by the interplay of turbulent motions and propagating waves. More mechanisms are advocated to account for the transfer and conversion of energy, including magnetic reconnection, emission of radiation and particle energization, all contributing to make the dynamical state of solar and heliospheric plasmas difficult to predict. The characterization of the energy transfer in space plasmas benefited from numerous robotic missions. However, together with breakthrough technologies, novel theoretical developments and methodologies for the analysis of data played a crucial role in advancing our understanding of how energy is transferred across the scales in the space. In recent decades, several scaling laws were obtained providing effective ways to model the energy flux in turbulent plasmas. Under certain assumptions, these relations enabled to utilize reduced knowledge (in terms of degrees of freedom) of the fields from spacecraft observations to obtain direct estimates of the energy transfer rates (and not only) in the interplanetary space, also in the proximity of the Sun and planets. Starting from the first third-order exact law for the magnetohydrodynamics by Politano and Pouquet (1998), we present a detailed review of the main scaling laws for the energy transfer in plasma turbulence and their application, presenting theoretical, numerical and observational milestones of what has become one of the main approaches for the characterization of turbulent dynamics and energetics in space plasmas.
Copyright permission for the seminar banner granted by [ESA/ATG medialab](https://www.esa.int/ESA_Multimedia/Images/2020/06/Solar_Orbiter_reaches_first_perihelion).
Ecological evidence for later dementia diagnosis in areas with higher rates of bilingualism: Evidence fromY Fro Gymraegin Wales
Authors: Saville Christopher W.N. , Patterson Christopher W. , Owen Rhian Russell , Kelly-Rhind Joanne 
Published: April 2023

BackgroundBilingualism has been proposed as a protective factor against dementia, putatively delaying onset by several years. However, evidence is equivocal. One possibility is that the pattern of confounding varies across contexts, with confounders such as socioeconomic status, rurality, and migrant status being positively associated with bilingualism in some settings and negatively in others. The present study examines this in Welsh-speaking Wales, where the confounding structure differs from much of the literature.MethodsRoutine clinical data from the Memory Clinic service covering the counties of Gwynedd and Ynys Môn were used to examine the ecological correlation between Welsh-speaking rates and dementia diagnosis rates by lower super output area. Analyses were conducted using Poisson generalised linear mixed effects models with spatial auto-correlation terms.ResultsA total of 404 cases were identified. No overall association was observed between dementia diagnosis rates and Welsh-speaking rates, but the association was moderated by age band, such that Welsh-speaking rates were protective in 65–74 year-olds but a risk factor in 75+ year olds (rate ratio=.71, .53-.94). This was robust to adjustment for area-level poverty.ConclusionAlthough causation cannot be inferred, the findings are consistent with bilingualism delaying dementia onset. Welsh-English bilingualism provides a useful complement to research on this topic elsewhere in the world, as the confounding structure is unusual.