bluuebunny/crossref_metadata_2025 huggingface dataset:
AUTOEFICÁCIA, AUTOAVALIAÇÃO DA SAÚDE E PREVALÊNCIA DE ALTERAÇÕES FÍSICAS, EMOCIONAIS, COGNITIVAS E COMPORTAMENTAIS EM PROFESSORES
Authors: Pereira Erika Cristina de Carvalho Silva , Ramos Maély Ferreira Holanda
Published: August 2024

O presente estudo teve como objetivo analisar a relação entre a autoavaliação da saúde e a prevalência dos sintomas físicos, cognitivos, emocionais e comportamentais com os níveis de autoeficácia em professores brasileiros durante a pandemia da Covid-19. Realizou-se uma pesquisa de levantamento, de cunho quantitativo, exploratório, descritivo, transversal e inferencial. A análise dos dados foi feita a partir de análise descritiva, Teste t de Student, Teste Mann-Whitney, Correlação de Spearman, Análise de regressão linear simples e múltipla. Participaram do estudo 313 professores brasileiros que estavam lecionando durante a pandemia da Covid-19. Os resultados mostraram que as médias de autoeficácia foram estatisticamente menores nos professores com uma autoavaliação negativa da própria saúde em relação aos que se autoavaliaram positivamente. A análise de regressão linear simples apontou a autoavaliação da saúde como uma variável explicativa da autoeficácia (p <0,05). As alterações emocionais, cognitivas, físicas e comportamentais mais frequentes estiveram significativa e negativamente associadas às crenças de autoeficácia dos professores (p <0,05). No modelo de regressão múltipla desenvolvido apenas a ansiedade explicou de forma significativa a autoeficácia dos professores. Conclui-se que variáveis como autoavaliação da saúde e alterações emocionais, como a ansiedade explicam os níveis de autoeficácia dos professores, sendo, portanto, fundamental o desenvolvimento de políticas públicas que promovam e desenvolvam as crenças de autoeficácia, bem como a saúde integral do professor.
An Evolutionary Framework for Agalinis (Orobanchaceae; The False Foxgloves) Reveals a Rapid South American Radiation that Includes Esterhazya
Authors: Latvis Maribeth , Souza Vinicius Castro , Tank David C. , Soltis Pamela S. , Soltis Douglas E.
Published: August 2024

Abstract— Agalinis (Orobanchaceae, tribe Pedicularideae) consists of approximately 70 hemiparasitic species distributed among North, Central, and South America. Previous phylogenetic studies did not include tropical species nor comprehensive sampling for closely
allied genera, limiting our systematic understanding of these lineages. We generated an updated phylogenetic hypothesis from 179 individuals from 51 species of Agalinis and five genera once considered congeneric with Agalinis (Anisantherina, Brachystigma, Dasistoma,
Aureolaria, and Esterhazya), particularly focusing on sampling underrepresented Central and South American taxa. Phylogenetic analyses were based on six cpDNA regions (rbcL, matK, trnT(UGU)-trnF(GAA), rps2, rpoB, and psbA-trnH)
and four nuclear regions (ITS, PPR-AT1G09680, PPR-AT3G09060, and PPR-AT5G39980) and were conducted using maximum likelihood and Bayesian inference methods. Additionally, our data were added to previously published Orobanchaceae-wide datasets to reveal placement of these
lineages in a comprehensive phylogenetic context using maximum likelihood. Our results reveal a strongly supported South American Agalinis clade that is sister to taxa from southwestern North America and Mexico and includes distinct Brazilian and Andean clades. Esterhazya, a
hummingbird-pollinated genus in Brazil, is nested within the Brazilian Agalinis clade with strong support. We confirm well-supported incongruences between chloroplast and nuclear partitions, particularly concerning placement of early-diverging lineages within Agalinis. The monotypic
genus Anisantherina, once included in Agalinis, is resolved within Orobanchaceae tribe Buchnereae, a placement that is further corroborated by anther morphology. Orobanchaceae consist of numerous species from tropical regions that have not been included in phylogenetic studies,
and our study underscores the importance of more comprehensive sampling for the placement of these lineages to clarify taxonomy, biogeography, and character evolution.
Phylogenetic Relationships of the Genera Cladocolea and Struthanthus (Loranthaceae) with Emphasis on the Mexican Species
Authors: Galván-González Luis G. , Cerros-Tlatilpa Rosa , Espejo-Serna Adolfo , Steinmann Victor W.
Published: August 2024

Abstract— Cladocolea (Loranthaceae) is a neotropical genus currently containing 24 species. Its taxonomic history has included changes in its circumscription and the transfers of some of its species to other genera in the family. Several phylogenetic studies
of Loranthaceae have recognized a close relationship between Cladocolea and Struthanthus. However, both genera were poorly represented in these studies, so here we generate a phylogeny of Mexican species of Cladocolea, Struthanthus, and related genera of Psittacanthinae,
using nuclear DNA sequences of the ITS region, as well as the chloroplast regions matK and trnL-F. The sample includes 112 new sequences and an additional 12 sequences obtained from GenBank. These represent 23 taxa of Cladocolea, 14 of Struthanthus, and 10 from
nine other genera of Loranthaceae. In order to understand character evolution and estimate ancestral states, 13 morphological characters were mapped, both vegetative and reproductive. Bayesian inference and Maximum likelihood analyses were performed using independent matrices and a concatenated
matrix of 2842 characters. Our results show that Cladocolea and Struthanthus are both polyphyletic genera. However, the Mexican species of Cladocolea and Struthanthus with convolute or sigmoid styles form a monophyletic group. Finally, the analysis of ancestral
character states indicates a trend towards a reduction of inflorescences in the Cladocolea-Struthanthus complex. New combinations and synonymies are proposed.
A Multi-locus Plastid Phylogeny of the Aulonemia Clade (Poaceae: Bambusoideae: Bambuseae: Arthrostylidiinae) Reveals Three New Genera of Bamboo
Authors: de Jesus-Costa Cristielle , Tyrrell Christopher D. , Viana Pedro Lage , Afonso Edgar Augusto Lobato , de Oliveira Luiz Orlando , Clark Lynn G. , Santos-Gonçalves Ana Paula
Published: August 2024

Abstract— Arthrostylidiinae (Poaceae: Bambusoideae), a subtribe of Neotropical woody bamboos with diverse morphology, comprises 200 species classified in 16 genera. Previous studies supported monophyly of the subtribe and recovered four major internal clades, however,
some genera were found to be polyphyletic while others, like Aulonemia and Colanthelia, were either undersampled or not included. Aulonemia and Colanthelia are complex both in their taxonomy and morphology, and exhibit overlapping morphological characters. Prior
morphological and molecular analyses suggested they share a close relationship, with Colanthelia emerging as monophyletic and either nested within Aulonemia or sister to it, but these studies sampled relatively few species of each genus. The aims of this study were to increase
taxon sampling to test the monophyly of Aulonemia and Colanthelia, to investigate the relationships within the Aulonemia + Colanthelia clade, and to revise their classification as appropriate towards a natural classification of the Arthrostylidiinae. We present
a multi-locus plastid phylogeny of the Arthrostylidiinae with emphasis on Aulonemia and Colanthelia. We used sequences of seven plastid markers (one coding: ndhF; six non-coding: trnC-rpoB, rps16-trnQ, trnT-trnL, rps16, trnD-trnT, and rpl16) from 67 taxa
of Bambusoideae including all genera of Arthrostylidiinae. Phylogenetic trees were inferred using both Bayesian and maximum likelihood methods. Aulonemia was confirmed as polyphyletic and Colanthelia was not supported as monophyletic. The phylogenetic position of Myriocladus
within Arthrostylidiinae is resolved for the first time. All species of Colanthelia were recovered within the clade containing most species of Aulonemia. Four species of Aulonemia (A. radiata, A. effusa, A. setosa, and A. setigera) grouped in
other clades within the subtribe and these placements combined with morphological evidence support the establishment of three new genera: Quixiume, Stelanemia and Vianaea, to accommodate the four remarkable Aulonemia species. An updated key for the genera of the
Arthrostylidiinae is provided, as well as taxonomic treatments for the three new genera, including the description of a new species in Stelanemia.
Hot Water Extract of the Caterpillar Medicinal Mushroom Cordyceps militaris (Ascomycetes) Fruiting Body Activates Myeloid Dendritic Cells through A Dectin-1-Mediated Pathway
Authors: Kanno Takashi , Tada Rui , Nakasone Toyokazu , Okamatsu Shigemi , Iwakura Yoichiro , Tamura Kazuhiro , Miyaoka Hiroaki , Adachi Yoshiyuki
Published: August 2024

The traditional use of Cordyceps militaris, an entomopathogenic fungus, in East Asian medicine has been well documented. Our previous study revealed that the fruiting body powder of C. militaris, referred to as Ryukyu-kaso, contains 1,3-β-glucan and stimulates bone marrow-derived dendritic cells via a dectin-1-dependent pathway. However, the immunomodulatory effects of soluble 1,3-β-glucan in Ryukyu-kaso and the underlying mechanisms remain unclear. In the present study, we aimed to investigate the immunostimulatory effects of the hot water extract of C. militaris fruiting body (RK-HWE) on bone marrow-derived dendritic cells and the involvement of the β-glucan receptor dectin-1. Our findings revealed that the hot water extract of C. militaris fruiting body contains soluble 1,3-β-glucan and potently induces bone marrow-derived dendritic cells to secrete both pro-inflammatory and immunoregulatory cytokines. Compared with the control, RK-HWE significantly increased the secretion of tumor necrosis factor (TNF)-α, interleukin (IL)-6, interfer-on-в, IL-12p70, and granulocyte-macrophage colony-stimulating factor (all ,i>p < 0.05), with TNF-α secretion increasing from 7.82 ± 1.57 (control) to 403.7 ± 59.7 pg/mL with (RK-HWE; p < 0.001). Notably, these immunostimulatory effects of RK-HWE were completely abolished in bone marrow-derived dendritic cells derived from dectin-1-knockout mice (p < 0.001, all cytokines), suggesting that dectin-1 is essential for immunomodulation induced by RK-HWE. These findings provide novel insights into the mechanisms underlying the immunostimulatory effects of RK-HWE and highlight its potential as a natural immunomodulatory agent for various therapeutic applications.
Boru hatlarında çizge evrişimsel ağlar yöntemi (GCN) ile arıza tespiti
Authors: Şahin Ersin , Yüce Hüseyin
Published: August 2024

Boru hatları petrol ve doğalgaz gibi enerji kaynaklarının taşınmasından, su kaynaklarının iletilmesi ve dağıtılmasına kadar çok geniş bir alanda kullanım alanına sahiptir. Boru hatlarından sızan petrol ve gaz akışkanları çevreye ciddi zararlar vermektedir. Boru hatlarındaki arızaların doğru bir şekilde tespit edilmesi, ekonomik kayıpların etkilerinden kaçınmak ve çevreyi korumak için önemlidir. Bu çalışmada su akışkanına sahip boru hatları çizgeler (graf) ile temsil edilmiştir. Boru hatlarında sızıntı ve tıkanma durumlarının tespiti için çizge temelli makine öğrenmesi algoritması GCN kullanılmıştır. Deneysel yöntemler kullanılarak GCN algoritması için gerekli olan veriler (basınç verileri), beş farklı senaryo oluşturularak toplanmış ve iki adet veri seti oluşturulmuştur. GCN algoritmasından elde edilen arıza tespit performans değeri diğer çizge makine öğrenmesi algoritmaları; RGCN, HinSAGE ve GraphSAGE ’nin performansları ile karşılaştırılmıştır. Bu çalışmada GCN modelinin performansı diğer algoritmalara göre daha yüksek bulunmuştur. Literatür incelendiğinde makine öğrenmesi algoritmaları kullanılarak boru hatlarında arıza teşhisi için doğruluk oranları %78,51 ile %99 değerleri arasında tespit edilmiştir. Bu çalışmada, GCN, GraphSAGE, HinSAGE ve RGCN algoritmalarının sırasıyla %0,91, %0,90, %0,87, %0,89 doğruluk oranları ile boru hatlarında arıza tespiti yaptıkları bulgusuna varılmıştır. Çizge temelli algoritmaların performanslarının kıyaslanması için klasik makine öğrenmesi SVM modeli kullanılmıştır. Algoritmaların performansları literatür ile karşılaştırıldığında sonuçların literatür ortalamasının üstünde olduğu görülmektedir.
HIV-PULSE Wet-lab Protocol v1
Authors: Lambrechts Laurens , De Braekeleer Sofie , Cole Basiel , Vandekerckhove Linos
Published: August 2024

Protocols.io for HIV-PULSE assay, including an updated protocol from the work published in NAR.
Building Global Momentum Towards Managing Marine Plastic Pollution Through SDG 14
Authors: Vierros Marjo , Nelson Gemma , Caldeira Mariana , Polejack Andrei , Schütz Veiga Júlia , Sekinairai Alumita Talei
Published: August 2024

Target 1 of SDG 14 on marine pollution has been instrumental in building momentum towards a coordinated response to the plastic pollution crisis facing the world’s ocean. The 2017 UN Ocean Conference saw a record number of registered voluntary commitments related to stemming plastic pollution, from local grassroots action to scientific research, as well as government initiatives limiting single-use plastics. By the time of the second UN Ocean Conference in June 2022, the UN Environment Assembly had, in March 2022, already adopted a resolution to develop by 2025 an international legally binding agreement to end plastic pollution. This international instrument is currently under negotiation and is facing contentious discussions influenced by petroleum interests. However, the very existence of these negotiations is owed to a large degree to the grassroots momentum built through SDG 14 Target 1 and a growing public concern about linkages between plastic pollution and human health and nascent national blue economies. This article will trace the pathway through which SDG 14 voluntary commitments, from local to global, have led by example while building a global sense of urgency to address the plastic pollution crisis. The article will also provide examples of how local communities and governments have experienced and responded to the crisis. Lessons learned from these local examples will be provided to link local measures and priorities to the global level in a way that can inform how the plastic pollution treaty is both negotiated and implemented.
The Right to Vote: Development of the Forms of Implementation
Authors: Berzina A. A. , Zhuk A. R.
Published: August 2024

The highest normative legal acts of most countries pay special attention to such an institution of direct democracy as elections, through which citizens exercise the right to participate in state affairs administration, determining the vectors of its development. The voting procedure allows you to take into account the opinion of everyone when making the most important decisions, which, in turn, serves as a necessary element of the harmonious development of society. This paper is devoted to active suffrage. The authors of the paper analyze the practice of holding elections at different stages of the evolution of statehood. Thus, the work describes the procedure for the implementation of active suffrage in ancient Greek policies (Athens and Sparta), the Novgorod and Pskov veche republics, on the Don among the Cossacks, as well as in a number of modern countries. After that, a conclusion is made about the variety of voting models. The authors also analyze one of its new forms — electronic, which implies the use of digital technologies. Currently, the Russian Federation is successfully using foreign experience for the most efficient functioning of electronic voting systems throughout its territory. This is a great merit of the President and the Government of the Russian Federation, the State Duma, the Central Election Commission of the Russian Federation (CEC of Russia). To sum up, the authors conclude that due to information technology, citizens have the right to choose the method of voting, and now, regardless of the location, the voter has the opportunity to express his will. This makes it possible to implement one of the basic principles of a democratic state.
Indices for complete dentures after cleaning at home
Authors: Serebrov Kirill D. , Razumova Svetlana N. , Brago Angela S. , Serebrov Dmitrii V. , Manvelyan Ashot S. , Guryeva Zoya A.
Published: August 2024

Background: According to experts, there are more than 350 million fully edentulous patients globally, accounting for 7% of the world population. Edentulous patients require dentures to maintain a good quality of life. Complete dentures need to be cleaned on a regular basis to prevent their microbial contamination and inflammatory complications.
Aim: To assess the efficacy of Anolit ANK Super solution for cleaning complete dentures at home.
Materials and Methods: The hygiene of complete dentures was assessed using the Ulitovsky–Leontiev index. The efficacy of cleaning complete dentures with Anolit ANK Super solution compared to 0.05% chlorhexidine bigluconate solution was assessed.
Moreover, statistical analysis methods were used: normality test; threshold value, or baseline significance level p=0.05; intragroup comparison (6 comparisons) with the Bonferroni correction (critical p=0.0083).
Results: When assessing the hygiene of dentures using the Ulitovsky–Leontiev index, the denture cleanliness index (DCI) changed from 4.65 points (poor denture hygiene) to 3.50 points (satisfactory denture hygiene) after one month of using Anolit ANK Super solution. After three months of using Anolit ANK Super solution, the DCI changed from 3.50 points (satisfactory denture hygiene) to 2.60 points (good denture hygiene). After six months of using Anolit ANK Super solution, the DCI changed from 2.60 points (good denture hygiene) to 1.55 points (very good denture hygiene).
After one month of using 0.05% chlorhexidine bigluconate solution, the DCI changed from 4.85 points (poor denture hygiene) to 4.40 points (poor denture hygiene) (p=0.0083). After three months of using 0.05% chlorhexidine bigluconate solution, the DCI changed from 4.40 points (poor denture hygiene) to 3.50 points (satisfactory denture hygiene) (p=0.0083). After six months of using 0.05% chlorhexidine bigluconate solution, the DCI changed from 3.50 points (satisfactory denture hygiene) to 2.60 points (good denture hygiene) (p=0.0083).
Conclusion: The follow-up revealed that, with similar duration of exposure to test solutions, Anolit ANK Super solution for cleaning dentures at home used for 6 months decreased the DCI threefold from baseline (p=0.000002) and improved denture hygiene from poor to good.
Método práctico para la estimación de parámetros en un intercambiador de calor
Authors: Satué Manuel G. , Schiavo Michele , Ortega Manuel G. , Beschi Manuel , Visioli Antonio , R. Arahal Manuel
Published: August 2024

En este trabajo se presentan resultados preliminares de un método práctico de identificación para su uso en laboratorio o en industria. La propuesta viene motivada por la necesidad de obtener los parámetros de un modelo de intercambiador a partir de mediciones de campo. El trabajo se centra en parte de una planta de almacenamiento de energía en construcción. El intercambiador considerado usa agua como fluido secundario para enfriar el aire comprimido a la salida de un compresor industrial. El principal reto para la identificación es que la mayoría de variables no son modificables a voluntad debido a las características de la planta. Esto impide el uso de técnicas como la respuesta a escalón. Por otro lado, durante el uso normal del equipo, algunas variables están fuertemente correlacionadas, dificultando el uso de técnicas basadas en datos. La propuesta emplea una construcción poco invasiva para sortear los citados obstáculos mediante la introducción de señales en rampa en una de las principales variables.
Proyecto “SimRobots”
Authors: Herreros Alberto
Published: August 2024

El proyecto “SimRobots” descrito en este artículo representa la segunda versión del mismo. La principal diferencia con la primera versión radica en el uso de todos los elementos de la librería de Simulink “SimScape MultiBody” y, sobre todo, de la librería de Matlab “Robotic System Toolbox”. El objetivo del proyecto es crear una herramienta que ayude a los alumnos a modelar y programar los movimientos de una estación robótica. Aunque la librería “SimScape MultiBody” es una herramienta de simulación potente, carece de control de trayectorias. Por otro lado, la librería “Robotic System Toolbox” ofrece numerosas herramientas de control de trayectorias, pero la simulación en Matlab no es completamente realista. Este proyecto busca combinar ambas librerías para crear un simulador de robots comparable a los softwares de marcas comerciales, al tiempo que permite a los alumnos comprender las matemáticas subyacentes en la simulación. Hasta ahora, el proyecto ha sido utilizado durante cuatro años con resultados positivos.
Control basado en datos e implementación en convertidores electrónicos
Authors: Merchán Riveros Maria Camila , Albea Carolina , Seuret Alexandre
Published: August 2024

Este trabajo presenta un método de diseño de control basado en datos para convertidores de potencia que pueden aproximarse como sistemas afines conmutados, proporcionando garantías de estabilidad global. A diferencia de las técnicas convencionales que a priori, requieren una identificación del modelo no lineal, nuestra contribución relaja este requisito al utilizar la información de la planta adquirida a partir de una colección de datos experimentales del sistema en bucle abierto. Este enfoque basado en datos permite la síntesis directa de una ley de control estabilizadora. La efectividad del método propuesto se valida en una plataforma experimental de Imperix. Los resultados experimentales no solo corroboran la viabilidad de las estrategias de control basadas en datos para sistemas conmutados afines, sino que también resaltan su aplicabilidad en escenarios prácticos del mundo real.
Escape room en Ingeniería de Control
Authors: González-Hernández José , Cañadas-Aránega Fernando , Hoyo Ángeles , Otálora Pablo , Pataro Igor , Gil Vergel Juan Diego
Published: August 2024

La gamificación se refiere a la utilización de métodos y tácticas de juego en áreas no tradicionales, como la educación. En este trabajo se describe una experiencia basada en la gamificación para la enseñanza del control automático en los estudios de ingeniería, como alternativa o apoyo al sistema de enseñanza tradicional. Esta experiencia se desarrolla en el marco de un proyecto de innovación docente desarrollado en la Universidad de Almería. En concreto, se presenta el diseño y desarrollo de un escape room para la asignatura de Automatización Industrial, así como unas pruebas preliminares llevadas a cabo en el curso académico 2023-2024. Aviso, en el artículo se describe en detalle la construcción del escape room, pero solo se dan pinceladas de la mecánica del juego y de las pruebas incluidas en este, no hacemos spoiler. Para descubrir el juego al completo, le invitamos a que lo resuelva.
Herramienta de disección de tramas para protocolos IoT
Authors: Narciandi-Rodríguez Diego , Aveleira-Mata Jose , Merayo Corcoba Alicia , Rubiños Manuel , Arcano-Bea Paula , Alaiz-Moretón Héctor
Published: August 2024

Desde hace unos años la aparición y uso de dispositivos IoT (Internet de las Cosas), los cuales destacan por el uso de protocolos ligeros debido a su baja carga computacional, hace que surgan nuevos vectores de ataque en en los sistemas con dispositivos IoT. Es por ello que es necesario entrenar y desarrollar modelos de aprendizaje automático a partir de datos reales, que se implementen en sistemas de deteccion de intrusiones (IDS). Aquí es donde intervienen los datasets los cuales posibilitan esta actividad gracias al desarrollo efectivo de estos modelos. En este trabajo se presenta el desarrollo de un disector de tramas que facilita la generación datasets específicos para los diferentes protocolos IoT existentes que sean útiles para crear modelos de aprendizaje automático a partir de los mismos.
Capturing Thermal Dynamics in Air-Conditioned Rooms
Authors: Gómez-Ruiz Gabriel , Sánchez Adolfo J. , Sánchez-Herrera Reyes , Andújar José M.
Published: August 2024

Thermostatically controlled loads (TCLs) play a crucial role in reducing energy consumption in buildings. Thus, developing accurate models that enable the effective implementation of energy control strategies is essential. With this goal in mind, a model of a room influenced by an air conditioning (AC) unit was developed as an initial starting point for our research into TCL systems modeling and control. In this work, a data-driven modeling approach was utilized, employing data collected from an ad-hoc data collection platform. In addition, an algorithm was developed to determine the AC’s operational states. The results, based on RMSE (Root Mean Square Error) and MAXAE (Maximum Absolute Error) metrics, demonstrate the effectiveness of the proposed algorithm and data-driven modeling approach in capturing the thermal dynamics of the room under the influence of the AC unit.
Estimación de parámetros en distribuciones de dirección del viento
Authors: Martínez Gutiérrez Samuel , Sarabia Daniel , Merino Alejandro
Published: August 2024

Una característica fundamental para caracterizar y evaluar el recurso eólico de lugares candidatos a albergar parques eólicos es la distribución de la dirección del viento. Uno de los métodos más utilizados para modelizar la distribución de la dirección del viento consiste en utilizar una mezcla finita de distribuciones de von Mises (mvM), cuyos parámetros suelen obtenerse mediante el método de los mínimos cuadrados. Tradicionalmente, este método ajusta la función de distribución acumulada (cdf), sin embargo, en este artículo se propone ajustar la función de densidad de probabilidad (pdf) por tener ventajas computacionales. Para comparar ambos métodos, se evalúa el coeficiente de determinación (R2) tanto en la pdf (R2pdf) como en la cdf (R2cdf) utilizando los parámetros de cada enfoque. En general, el ajuste de los parámetros mediante el método de los mínimos cuadrados en la pdf resulta más rápido y produce un mejor R2pdf, sin afectar significativamente al R2cdf.
Mini-Bird
Authors: Carrasco-Martínez Sara , García-Martínez Jesús , Álvarez Arias Sofía , Castillo Jose Carlos , Alonso-Martín Fernando , Castro-González Álvaro
Published: August 2024

Los robots sociales tienen el potencial de ayudar a personas con problemas de movilidad y coordinación, especialmente si son mayores. Para ello, se pueden pueden apoyar en ejercicios de estimulación física mediante la gamificación de juegos diseñados para este propósito. En este trabajo, presentamos ``Mini-Bird'', un juego de estimulación implementado siguiendo un paradigma de robot multiagente. El sistema propuesto se ha integrado en la arquitectura de software del robot Mini acompañado de un agente de juegos. El robot social Mini guía la actividad para promover la actividad física del usuario. El agente de juegos es el encargado de rastrear los movimientos de las manos del usuario mediante un detector de esqueletos que permite controlar el juego. Se facilita varias métricas para la evaluación de la estimulación física y la coordinación ojo-mano. La incorporación de elementos de gamificación mejora la participación del usuario y el desarrollo de habilidades. Las pruebas preliminares muestran un gran potencial para promover la actividad física entre los mayores.
Practical deployment of subsampling-based high-frequency signal acquisition system
Authors: Vivas Merino Jon , Badillo Fernández Inari , Portilla Rubín Joaquin , Arredondo López de Guereñu Iñigo , Feuchtwanger Morales Jorge , Jugo Garcia Josu
Published: August 2024

This paper presents a cost-effective solution for high-frequency signal acquisition using a subsampling-based system. The focus is on the practical implementation of a uniform subsampling setup, leveraging Track-and-Hold Amplifiers (THAs) and precise timing control for efficient signal reconstruction. The system allows the acquisition of signals above the Nyquist frequency, significantly reducing data storage needs, simplifying real-time analysis, and enabling the use of economically competitive components. Special attention is given to the challenges and considerations in deploying such a system, including the need for synchronization between THAs and the measurement system, and the impact of timing jitter. The paper demonstrates that with careful implementation, subsampling-based systems offer a promising and economically viable approach for high-frequency signal acquisition and control.
Estudio del coeficiente de coactivación muscular en flexo-extensión de codo en distintas condiciones de peso con el uso de EMG
Authors: Martin Sierra Pablo , Feijoó Rodriguez Carlota , Sánchez López de Pablo Cristina , Urendes Jiménez Eloy José , Raya López Rafael
Published: August 2024

El coeficiente de coactivación muscular (CC) es una métrica que expresa los niveles de contracción simultánea entre una pareja de músculos agonista-antagonista, siendo útil para el análisis del control motor. Uno de los factores que intervienen en este índice es el peso desplazado por el sujeto en el movimiento. Este estudio se centra en analizar la variación del CC a partir del análisis de la señal de electromiografía de 10 sujetos sanos mientras realizan diferentes pruebas de flexo-extensión de codo, variando el peso y la frecuencia de desplazamiento en diferentes fases del movimiento para ver en qué casos se producen cambios apreciables. Para ello, se calculó el CC para cada caso y posteriormente se realizó un estudio estadístico para tratar de detectar qué factores hacen que el CC aumente. Los resultados sugieren que no hay cambios significativos en el CC con el aumento del peso o la frecuencia en los movimientos de extensión con un intervalo de confianza del 95%.
Guiado de una silla de ruedas robótica mediante un dispositivo portable de seguimiento ocular
Authors: Frigola Manel , Secchieri Luca , Aranda Joan , Casals Alícia
Published: August 2024

Cuando se trata de controlar un dispositivo robótico, como una silla de ruedas robotizada para asistir a personas con movilidad reducida también en las extremidades superiores, deben considerarse ciertos condicionantes. En el proyecto Posmofya, consistente en una silla de ruedas robotizada que incorpora control postural, además de unos grados de libertad adicionales tipo exoesqueleto de extremidad superior para asistir también en la actuación, la interfaz prevé la integración de un sistema multimodal que se adapte a las necesidades de usuario. En este artículo se describe la problemática en el desarrollo de una interfaz basada en el seguimiento de la mirada, eye-tracking. Este sistema incorporará también otros elementos auxiliares de soporte al guiado, aumentando así la precisión y seguridad.
Deep Learning para asistencia en rehabilitación con robots mediante demostraciones
Authors: Martínez Pascual David , Reig-Lozano Asier , Vales Yolanda , Catalán Orts José María , Lledó Pérez Luís Daniel , García Aracil Nicolás
Published: August 2024

El uso de dispositivos robóticos de rehabilitación ha surgido como una solución prometedora para mejorar la recuperación motora durante la rehabilitación. Uno de los retos más significativos durante el uso de estos dispositivos es la capacidad de decidir cuándo proporcionar asistencia al paciente. En este contexto, se ha propuesto una solución basada en Deep Learning para aprender del criterio de un terapeuta cuándo un paciente necesita asistencia. Con el objetivo de desarrollar un modelo que permita generalizar a múltiples situaciones, se ha aplicado una serie de transformaciones a las trayectorias realizadas por los pacientes antes de utilizarlas como entradas al modelo. El modelo propuesto ha sido evaluado utilizando diferentes métricas y ha mostrado una precisión del 93,21% y un F1-Score del 85,05% con el conjunto de datos de validación. Además, el modelo ha alcanzado una precisión del 69,32% y un F1-Score del 63,31% con usuarios que no participaron en el proceso de aprendizaje del modelo.
Estudio de confort térmico con perspectiva de género
Authors: Leal Rueda Marta , Abad Alcaraz Verónica , Castilla Nieto María del Mar , Álvarez Hervás José Domingo
Published: August 2024

Los índices más utilizados para estimar el confort térmico se basan en fórmulas estandarizadas o recomendaciones empíricas, sin considerar características fisiológicas individuales como género, edad e índice de masa corporal. En este estudio se muestran dos ensayos de temperatura en condiciones invernales en los laboratorios del edificio bioclimático CIESOL, con 6 sujetos (3 hombres y 3 mujeres) en diferentes posiciones en cada ensayo. Se monitorizan las variables climáticas y fisiológicas, y se pasan encuestas de sensación de confort para comparar las percepciones de los ocupantes con índices comúnmente utilizados como el Voto Medio Previsto (PMV). Los resultados muestran cómo difiere la sensación de confort de los ocupantes con el PMV calculado considerando las variables climáticas. También se observan diferencias entre hombres y mujeres, destacando la necesidad de nuevos índices que consideren las características humanas. Estos resultados sirven de base para obtener un modelo de confort térmico teniendo en cuenta la perspectiva de género.
¿Puede un algoritmo de Machine Learning ayudarnos en la evaluación de informes de prácticas?
Authors: Cabrera Santana Pedro Jesús
Published: August 2024

La evaluación del aprendizaje en ingeniería requiere de múltiples recursos y actividades formativas prácticas que fomenten el desarrollo de habilidades. Las prácticas de laboratorio y computacionales son esenciales, pero evaluar su efectividad supone un desafío debido a la carga de trabajo y la subjetividad del proceso. Este estudio propone un método de evaluación mediante el uso de Machine Learning, aplicado a informes de prácticas en la asignatura de Diseño de Máquinas de la ULPGC. El método propuesto incluye la recopilación y evaluación manual de informes, seguido de la extracción de indicadores como la puntuación Flesch Reading Ease, el análisis de sentimiento y el análisis de las palabras frecuentemente utilizadas por el estudiante. Se desarrolla un algoritmo para estructurar estos parámetros y se implementan distintas técnicas para modelar las calificaciones. Los resultados muestran que las Redes Neuronales logran estimaciones precisas, con métricas MAE = 0,72 puntos y MAPE = 8,94%.
Sistemas Agrivoltaicos
Authors: Sainz de Murieta Mangado Joseba Andoni , Burgos Arantzazu , Pedroza Ochoa Alvaro , Villena Camarero Unai , Alvarez Gutierrez Maria Luz
Published: August 2024

El último informe del Grupo Intergubernamental de Expertos sobre el Cambio Climático (IPCC) de la ONU confirma la evidencia y efectos del cambio climático, subrayando la necesidad de reducir rápidamente las emisiones de gases de efecto invernadero para alcanzar cero emisiones netas. El sector energético, uno de los principales emisores de estos gases, debe incrementar significativamente la implantación de energías renovables, especialmente la energía solar fotovoltaica.
Sin embargo, la expansión de paneles solares enfrenta el desafío de compatibilizar el uso de la tierra para agricultura y ganadería. Las instalaciones agrivoltaicas, que combinan estos usos con la generación solar, se postulan como una parte de la solución y, a su vez, plantean nuevos retos de ingeniería, algunos de los cuales se analizarán en este artículo.
Modelo de parámetros concentrados para captadores solares planos con reflectores
Authors: Roca Lidia , Serrano Juan Miguel , Gil Juan Diego , Zaragoza Guillermo , Beschi Manuel , Visioli Antonio
Published: August 2024

El uso de captadores solares planos está muy extendido principalmente para aplicaciones de calefacción y refrigeración de edificios y agua caliente sanitaria. Una de las líneas de investigación para mejorar el rendimiento térmico y reducción de espacio ocupado es el uso de reflectores que permiten incrementar la radiación solar incidente sobre la cubierta de los captadores. Aunque el modelado de este tipo de sistemas está ampliamente estudiado, es importante disponer de modelos sencillos pero fiables que permitan el diseño y evaluación de lazos de control. En este artículo se presenta una modificación de un modelo de parámetros concentrados para estimar la temperatura de salida del fluido cuando se dispone de espejos reflectores con seguimiento solar. Calibrando un valor medio de los parámetros de pérdidas ópticas en torno al mediodía solar, los resultados obtenidos muestran que el error cuadrático medio es menor de 0.79 ºC2.
Introduction to Control Education with the Unibotics web framework
Authors: García Pérez Lía , Martín-Martín Diego , Cañas Plaza José María , Chacón Sombría Jesús , Roldán Álvarez David
Published: August 2024

This paper presents the Unibotics platform, a simulation framework for teaching robotics in university courses. It allows students to program robots from the web browser in Python, using novel and current technologies such as ROS middleware and Gazebo robotics simulator. Unibotics provides an interface that hides the initial complexity of installing and dealing directly with ROS, Gazebo or MoveIt and allows students to focus on the algorithmic aspects of robotics. In addition, this article describes two teaching experiences of using Unibotics with real higher education students to introduce robot control. First, with Computer Science students in an elective Robotics course at U. Complutense Madrid. Second, with students of "Automation and Industrial Robotics" course of Industrial Electronics and Automation Engineering degree at U. Rey Juan Carlos. Both experiences have been successful and they will be continued in the next course.
Geodesic restricted aruco-based positioning for VR rehabilitation robotics
Authors: Montesino Valle Ignacio , Alonso Camara Hugo , Victores Juan G. , Balaguer Carlos , Jardon Huete Alberto
Published: August 2024

La demanda de rehabilitación y terapia física en el mundo es cada vez mayor, debido a un envejecimiento de la población y a una vida más sedentaria. Una de las terapias más prometedoras es la terapia asistida con realidad virtual (VR), ya que mejora el ánimo del paciente, su autonomía y con ello las horas que le dedica a la terapia. Las carencias de este tipo de terapias surgen de no poder ofrecer ejercicios resistivos o con ayuda física al paciente. En el proyecto Roboasset hemos desarrollado un robot para simular ejercicios físicos en un entorno VR. Una problemática todavía no resuelta es conseguir la paridad de los elementos virtuales con los físicos. En este artículo desarrollamos un método para sincronizar los sistemas de coordenadas del robot físico con los del mundo virtual mediante el uso de marcadores fiduciarios (ArUco) y una cámara externa. Usando las propiedades geométricas de los cuaternios, conseguimos que la sincronización de los sistemas de coordenadas no introduzca ningún ruido en el ángulo del suelo.
Exploring the intersections of Tourism and Hospitality: A review and research agenda
Authors:   NOVA Information Management School (NOVA IMS), Rita Paulo , Ramos Ricardo ,   Instituto Politécnico de Coimbra, ESTGOH; Research Centre for Natural Resources Environment and Society (CERNAS); Instituto Universitário de Lisboa (ISCTE-IUL), ISTAR, Moro Sérgio ,   ISCTE-IUL, Lisboa
Published: August 2024

This study comprehensively reviews the literature since 2000 addressing contemporary tourism and hospitality research. The research conducted bibliometric analysis and topic modeling using R software encompassing over 18 thousand articles published in the top journals (first decile) according to the Scopus rankings. Our investigation determines the knowledge structure of research on tourism and hospitality and identifies current research trends through the intersection of the co-occurring themes and topic modeling topics. The impact of technological developments, the significance of sustainability in tourism practices, and the investigation of visitor behavior and decision-making processes are among the focal points. Furthermore, our study proposes directions for future research through the identification of a number of interesting avenues for further investigation that will fill in urgent shortages in the area. They include making tourism more inclusive and accessible, making use of cutting-edge technologies, and utilizing cultural diplomacy to improve the sustainability of tourism.
MEASURING CONNECTEDNESS AND NETWORK ANALYSIS IN STOCK MARKETS FOR DEVELOPED AND DEVELOPING COUNTRIES
Authors: Oral Fatmanur , Özkan İbrahim
Published: August 2024

Countries are experiencing a surge in political, economic, and financial integration, consequently shaping international market linkages. Financial crises can rapidly spread between countries, emphasizing the need to monitor and assess stock market connections. This paper investigates the degree of financial market connectedness using daily stock returns from January 1997 to August 2017 for 13 countries, both developed and developing. The connectedness measure of Diebold and Yilmaz (2009-2012) is applied to examine the connectedness of stock market returns and the direction of spillovers for all stock markets. This study also analyzes the dynamic connectedness from the U.S. stock market to all other stock markets. The results indicate that the U.S. stock market is the most influential stock market to the others. The results of the dynamic analysis show that connectedness changes over time, specifically during turmoil periods. Most developed countries are transmitters of return spillover shocks while developing countries are recipients.
Acceptance, Cognitive-Behavioural and Mindfulness-Based Psychological Interventions for Fibromyalgia: A Systematic Review
Authors: Heagney Seán , Adams Nicola
Published: August 2024

Objective: To analyse the effectiveness of cognitive-behaviour therapy (CBT), acceptance and commitment therapy (ACT), and mindfulness-based stress reduction (MBSR), for treating symptoms of fibromyalgia. Methods: PubMed, Cochrane and Science Direct electronic libraries were searched (from January 2015 to October 2023). Randomised controlled trials (RCTs), of CBT, ACT, and MBSR-based interventions for pain intensity, pain catastrophising, depression, anxiety, sleep quality, fatigue and health-related quality of life in people diagnosed with fibromyalgia were considered. Studies were selected and data was extracted by two independent reviewers using the Template for Intervention Description and Replication (TIDieR) checklist, while quality appraisals of the evidence was also conducted using the Physiotherapy Evidence Database and Cochrane Risk of Bias version 2 tools. Results: Seven RCTs (n = 730 participants) were analysed. CBT was associated with improved pain intensity, sleep quality and quality of life, but not fatigue and uncertain for depression. MBSR reduced depression and anxiety and enhanced quality of life scores. Improvements in pain intensity, depression and quality of life were demonstrated with digital ACT, with superior participant adherence versus other face-to-face interventions. Considerable heterogeneity of interventions was apparent. The evidence for all interventions was equivocal with four studies deemed ‘high risk’ of bias and three with ‘some concerns’ following quality appraisal. Conclusion: Cognitive-behaviour therapy, acceptance and commitment therapy and mindfulness based stress reduction demonstrate mostly small effects on fibromyalgia symptoms in favour of the intervention. However, when delivered in digital therapy format, these shows promise as a means of enhancing patient adherence to treatment, and potentially accelerating access to care with subsequent reduction of burden on waiting lists for health care providers.
Lens Dislocation and Phacoantigenic Glaucoma Secondary to Ocular Trauma in a 54-Year-Old Male: A Case Report and Literary Review
Authors: Cervera Bersayk , Villacis Arkin , Pérez Irina
Published: August 2024

Phacoantigenic glaucoma (previously known as phacoanaphylactic glaucoma) is a rare condition in which a patient presents a sensitization to their own ocular lens proteins after surgery or trauma that produces an inflammatory response. The clinical picture is variable, but the majority of patients present a moderate reaction in the anterior chamber. It is recommended the initiation of topical corticosteroids and aqueous suppressors with the goal of reducing the inflammatory response and the intraocular pressure. Surgical removal of the residual material may be necessary once the inflammation is under control as presented in the following case. The description of a clinical case and a review of the topic are carried out considering the little literature available on this pathology, due to reasons such as infrequency and scarce publication of this type of medical case. This report describes a clinical case and reviews the limited literature on this pathology, aiming to provide a summary of available information and improve early intervention and prognosis.
COVID-19 Vaccine Motivation, Willingness and Hesitancy of Health Majors University Students in Palestine
Authors: Ghrayeb Farid , Alrifai Ayesha , Hweij Reem
Published: August 2024

Background: The effectiveness of the COVID-19 vaccination campaign hinges on the motivation and willingness of the general population to be vaccinated. The purpose of this research was to determine the motivation, willingness, and hesitancy of Al-Quds University students enrolled in health majors to get the COVID-19 vaccine, as well as to detect their attitude toward COVID-19 vaccine. Methods: A cross-sectional study design was employed to target students in health majors at Al-Quds University during the first semester of 2023–2024, using a proportionate sample stratified by specialization and educational level. A self-reported questionnaire consisted of five main sections: sociodemographic details, information on attitudes and beliefs about COVID-19, attitudes and beliefs about COVID-19 vaccination, degree of willingness and hesitancy for COVID-19 vaccine, and lastly, sources of knowledge regarding COVID-19 vaccine. A linear logistic regression was performed to investigate associations between willingness and hesitancy to be vaccinated for COVID-19 and sociodemographic factors. Results: 66.1% of participants reported being very likely to get vaccinated against COVID-19, 22.8% were unsure, and 11.1% reported being very unlikely to be vaccinated. The major reason for vaccination hesitancy was insecurity due to the rapid development of the vaccine, concerns about COVID‐19 vaccination, fear of needles, and distrust in vaccine against mutation. Whereas the essential reasons for vaccination motivation and acceptance ranged from fear of being infected with Covid-19, the desire to get back to normal life, and fear of transmitting the infection to family and others. Additionally, TV and radio were the main source of information regarding COVID-19 vaccination. Conclusion: This study showed a high reluctant level among university students in health majors against COVID-19 vaccines. Providing correct information to the public through independent health organizations that are not associated with the ruling authority, particularly to university students, on the safety and effectiveness of COVID-19 vaccines is highly recommended.