bluuebunny/crossref_metadata_2025 huggingface dataset:
PHYSICS-INFORMED TRANSFER LEARNING IN PBSHM: A CASE STUDY ON EXPERIMENTAL HELICOPTER BLADES
Authors: POOLE J. , GARDNER P. , HUGHES A. J. , MILLS R. S. , DARDENO T. A. , DERVILIS N. , WORDEN K.
Published: December 2023

Data for training Structural Health Monitoring (SHM) systems are often expensive or infeasible to obtain. Population-based SHM, which considers data across a population of structures, presents a potential solution to this issue. However, as differences between structures can lead to differing training and testing distributions, conventional machine learning methods may not generalise between structures. To address this issue, transfer learning (TL) can be used to leverage information across related domains. An important consideration when applying TL is how to asses similarity to identify and extract shared information. In unsupervised TL, a major challenge is that previous data-based metrics are limited to quantifying marginal distribution similarity in the unsupervised setting. This paper proposes utilising the Modal Assurance Criterion (MAC) between modes of healthy structures as a measure of data similarity to identify features that minimise conditional distribution shift. The MAC is incorporated into a feature selection criterion and a TL methodology is proposed. Moreover, the proposed methodology is shown to facilitate label sharing within a heterogeneous population of helicopter blades
PARTIALLY STRUCTURED GAUSSIAN PROCESSES FOR GREY-BOX LEARNING IN SHM
Authors: JONES M. R. , PITCHFORTH D. J. , CROSS E. J.
Published: December 2023

Combining physics with data-driven learning seeks to harness the benefits of the expressivity of machine learners whilst having known physical laws that the model must adhere to. Building these types of models have the advantage of being able to represent phenomena more complex than can be described with simplified analytical equations, whilst simultaneously allowing for greater prediction confidence and interpretability, as well as providing a mechanistic basis that predictions can revert to when data becomes scarce. With operators more frequently carrying out monitoring campaigns, and decades of engineering knowledge to call upon, it is a natural step for health monitoring practitioners to adopt physics-informed learning strategies for monitoring structures. In many engineering scenarios, it is often the case that one will not have complete physical knowledge of a structure or system of interest, but partial knowledge, for which it is desirable to encode in a machine learning model. In this paper, we will explore how this type of knowledge can be embedded into Gaussian process models for processes that naturally exist as products of constituent functions, such as for processes that have both spatial and temporal dependencies. Focus will be placed on how the properties of the covariance function that has embedded physical structure dictates the predictive regime that the model may operate in within the partial knowledge setting. Application of the developed models includes learning the decoupled response of a beam under random loading into the constituent mode shapes and temporal response.
PHYSICS-INFORMED NEURAL NETWORKS FOR ONE- STEP-AHEAD PREDICTION OF DYNAMICAL SYSTEMS
Authors: HAYWOOD-ALEXANDER MARCUS , CHATZI ELENI
Published: December 2023

During online implementation of vibration-based structural health monitoring (SHM) strategies, forward prediction of the system state may allow for improved detection speed. With adequately fast forward prediction, feedback systems can also be improved to provide in-time control plants. When using solely physics-driven models, small discrepancies between the physical system and digital model can result in significant deviation between the estimated and true output. On the opposite end, a solely data-driven model can only reasonably be applied in an identical, or sufficiently similar, scenario to that for which the data was collected. Using machine learning to combine data with known physics is a well-proved approach to overcoming this issue. One such method for this approach is the use of physics-informed neural networks (PINNs), which can be implemented as either a forward modeller, or a constrained learner, for equation solution discovery, or equation discovery. The former of these aims to provide the desired output from the governing physical equations, whereas the latter estimates the parameters in these equations. A significant advantage of PINNs is, given a suitable network architecture, the high speed and low computational-cost of their prediction step, which positions them as a useful approach for real-time estimation, given adequate training. A common assumption for PINNs is that the embedded physics is exhaustive with respect to the ‘true’ model. In this paper, a novel PINN-based architecture is presented to rapidly forward-predict the state of a dynamic system given an initial state. For the state estimation, the PINN acts as an equation solution discovery approach, and the novelty of the architecture here is to provide a more generalised predictor which can be applied to a wider range of instances. The PINN is intended to deliver its prediction within a prescribed time frame, which equals the sampling time of the acquisition/control system, and is here assessed against this goal.
MULTIFUNCTIONAL SOFT TRANSDUCER FOR ELECTRICAL AND OPTICAL SENSING APPLIED TO FATIGUE CRACK MONITORING
Authors: LIU HAN , KOLLOSCHE MATTHIAS , LAFLAMME SIMON , . CLARKE DAVID R.
Published: December 2023

The timely discovery and monitoring of fatigue cracks on steel bridges is critical in ensuring structural safety and continuous operations. Existing sensing solutions, for example foil gauges, can be used to monitor known cracks, yet cannot be used for crack discovery because of their highly localized nature. A solution is the development and deployment of large-area electronics capable of detecting local states over large surfaces. Polymer-based nano-structured materials that respond to external impacts, such as mechanical strain, with color changing properties have attracted significant attention in structural health monitoring (SHM) community, because their passive optical/visual properties can be used to assist inspectors at quickly localizing new fatigue cracks. Here, the authors proposed a multifunction skin sensor that combines optical and electrical sensing properties. The optical function is passive and engineered to visually assist in localizing fatigue cracks, and the electrical function is added to send timely warnings to infrastructure operators. This is achieved by modifying the nanoscale structures within a photo-elastomer to obtain a soft stretchable optically-active film that is sandwiched between transparent carbon nanotube electrodes (CNT) to form a capacitor structure for adding electrical functionality. The developed sensor has a stiffness of 460 kPa and withstands reversible strain levels of up to 40%. Additionally, it exhibits a reversible and repeatable color change from light blue to deep blue, and changes the reflected color in the Vis spectra from approximately 500 nm to 600 nm and insensitive to viewing angle. The performance of the sensor is characterized through a free-standing dynamic test and further extended to a free-vibration test conducted on a steel cantilever plate. A correlation- based image processing algorithm was developed to discriminate color change and further quantify strain. The measured shift in the material’s reflection center wavelength was merged with an RGB correlations matrix and an optical gauge factor of 0.52 was obtained. An electrical gauge factor of 0.48 was obtained by subjecting the sensor to a triangular load. It was found that the parallel capacitance measurements exhibited better performance by yielding higher accuracy for free vibration strain measurements.
RECENT PROGRESS IN SCREEN-PRINTED SMART SKIN FOR REAL-TIME LOAD DETECTION IN STRUCTURES
Authors: JUNG YU-JIN , JEON HYE-KYOUNG , JANG SUNG-HWAN
Published: December 2023

Civil engineering is constantly seeking innovative solutions to enhance the monitoring and maintenance of infrastructure. This is because traditional monitoring methods are often costly and time-consuming due to the use of multiple devices and manual inspections. Carbon nanotube (CNT)-polymer based self-sensing composites provide an innovative approach for structural health monitoring. Among these, composites fabricated using screen-printing techniques also offer the advantages of being cost-effective and suitable for mass production. In this study, we will manufacture a smart skin as a novel detection material for structural health monitoring by screenprinting CNT/polyurethane (PU) ink. The authors report on the optimized screenprinting design for the smart skin based on electrical characteristics and optical microscopy analysis for different mesh counts. Moreover, we investigate the electromechanical response of carbon nanotube-reinforced composite materials under impact loadings. Finally, we will present a new sensing system by applying the smart skin in a grid pattern to the structure, enabling the detection of various impacts. This innovative approach allows for the development of a versatile sensing system that can monitor and identify different types of impacts on the structure.
EXPERIMENTAL INVESTIGATION ON FLEXURAL VIBRATION CONTROL OF LARGE-SCALE REINFORCED CONCRETE METAPLATES
Authors: CHOI JEWOO , CHO TONGJUN , BAE SANG GEUN , PARK HYO SEON
Published: December 2023

In this study, the vibration control performance of a large-scale reinforced concrete (RC) metaplate is experimentally validated and investigated. The local resonance frequency of plate-type LRM unit is numerically estimated. 4,200 x 3,000 x 210 mm RC metaplate, embedded with 165 LRM units measuring 200 x 200 x 85 mm each, is excited to heavy-weight impact to measure its acceleration responses. The experimental results showed that the generation of a local resonance bandgap in metaplate, leading to vibration control within the bandgap frequency range. The acceleration response of the metaplate is attenuated by up to 85.39 % at the local resonance frequency (42.51 Hz) compared to an RC plate without LRMs. The amplitude of modal peak within the bandgap frequency range is attenuated by up to 71.22 %. Based on the two indicators used to analyzed vibration control performance, The influence of both the local resonance and modal characteristics of the metaplate on its bandgap behavior is analyzed.
MONITORING OF PHASE TRANSITION IN FROZEN SOIL USING THE NONLINEAR (SPC-1) ULTRASONIC TECHNIQUE
Authors: AMJAD UMAR , GHIMIRE UDDAV , ALNUAIMI HAMAD , BHEEMASETTI TEJO , KUNDU TRIBIKRAM
Published: December 2023

Frozen soils constitute a significant amount of land’s surface and are responsible for the (global) energy balances and heat transfer mechanisms affecting both land and atmospheric processes. Characterization and measurement of the properties of frozen soils during phase transition (frozen to unfrozen) is a challenging problem vowing to heterogeneity in ice-lens formation, unfrozen water, and pore structure configuration of soil grains. This study presents a non-linear ultrasonic (NLU) technique called the sideband peak count-index (SPC-I) in combination with the linear ultrasonic (LU) technique to monitor the phase transition (frozen to unfrozen) of frozen soil specimens. Earlier studies using nondestructive testing and evaluation (NDT&E) have demonstrated the use of LU and NLU techniques to detect defects such as micro-cracks, however, there are no studies performed to evaluate the use of this approach to quantify the non-linearity in frozen soils during their phase transitions. The general approach of applying the SPC-I technique is by transmitting and analyzing a single excitation signal that is propagated through the frozen soil specimen. In this study, the clayey sand soils are considered for evaluating the non-linear behavior of the soils during the phase transition process (frozen to unfrozen). These soils can undergo significant frost-heave and thaw-weakening phenomena resulting in infrastructure distress including potholes, differential settlements, slope failures, and thawing-induced landslides. In the United States approximately 2 billion dollars were spent annually to just repair the highway infrastructure distress caused due to freeze-thaw cycles and better characterization approaches are required to understand the behavior of this non-linear geomaterial. The NLU SPC-I technique combined with LU technique could robustly detect the changes in material properties of frozen soil, however, it can be further tuned and improved by exciting a tuned excitation signal.
La escucha de lo virtual: contextos y des/contextos de Val del Omar.
Authors: Pardo Salgado Carmen
Published: December 2023

El texto aborda la escucha de lo virtual en las propuestas de José de Val del Omar en su contexto sociopolítico y técnico. Este planteamiento se enmarca en lo que hemos denominado des/contextos del ámbito nacional e internacional y en la meca-mística. En estos des/contextos, el circuito perifónico, comprendido como la construcción del oído colectivo en la España franquista, y la Corporación del fonema hispánico, con su apelación a los sonidos concretos, suponen una bifurcación de lo sonoro que se halla en la base de la invención del sistema diafónico. A partir de la meca-mística, se comprende que lo virtual —a partir de Deleuze y Merleau-Ponty—, opera en Val del Omar en dos regímenes: el de los dispositivos de virtualización y el de lo espiritual. El diáfono aparece entonces como una máquina de sensibilización sonora para la creación de un oído colectivo que, a diferencia del que forja el circuito perifónico, tiene un carácter onírico o virtual. Finalmente, y a modo de epílogo, la propuesta del Auto Sacramental Invisible. Una representación sonora a partir de Val del Omar (Museo Nacional Centro de Arte Reina Sofía) permite interrogar el legado de Val del Omar en relación con la construcción de este oído colectivo y la escucha de lo virtual.
El «gen VdO»: ángel o duende en la música de hoy.
Authors: Ordóñez Eslava Pedro
Published: December 2023

Es posible que José Val del Omar (Granada, 1904-Madrid, 1982) sea una de las figuras más influyentes en la creación audiovisual contemporánea española y, al mismo tiempo, una de las más ignoradas. En este artículo, seguiré una metodología de análisis cualitativo aplicado a una serie de entrevistas semidirigidas celebradas fundamentalmente en otoño de 2021.Y, a través de ellas, pretendo dibujar la huella del pensamiento, la creación y la recepción de la obra sonora y visual de Val del Omar en la escena audiovisual experimental española, encarnada en figuras como María Cañas, Los Voluble, Salud López, Juan Carlos Quindós, Erik Urano o Llorenç Barber, entre otros. No describiré en este artículo la figura del cinemista granadino, sino que utilizaré las palabras cedidas por los artistas entrevistados para delinear una suerte de retrato actual, colectivo, multiforme y poliédrico a través del que entender o al menos aproximarnos a lo que he denominado «gen VdO», es decir, la marca genética de Val del Omar en la escena audiovisual y estrictamente musical de hoy. Con ello, pretendo visibilizar también, y desde un punto de vista crítico, la necesidad de una investigación genealógica que considere como horizonte conceptual la conocida como contramemoria.
La diosa ambarina: ecopoética del eterno femenino en la poesía de Eguren
Authors: Favaron Peyón Pedro Martín
Published: December 2023

El presente artículo realiza una lectura ecopoética de la poesía de Eguren a partir de la recurrente presencia del eterno femenino en su obra. Para ello, se propone un diálogo con las nociones de “verdadera poesía” expuestas en el célebre libro La diosa blanca de Robert Graves (1948). Una vez comprobada la consagración a lo femenino en la poética de Eguren, se da cuenta de la vinculación de estas concepciones con la consciencia ecológica. Así mismo, se señala cómo este tipo de imaginación poética puede contribuir a replantear las relaciones que la modernidad hegemónica mantiene con la madre tierra.
El rol de las organizaciones no gubernamentales en la respuesta a la migración venezolana en Colombia
Authors: Pineda Arboleda Juan Fernando
Published: December 2023

Desde 2015, las organizaciones no gubernamentales (ONG) para la migración han cobrado gran protagonismo en Colombia y han contribuido con una respuesta humanitaria ante un Estado inicialmente poco preparado para la atención integral de los refugiados venezolanos. Pese a su importancia, las organizaciones para la migración han sido poco estudiadas en Latinoamérica. Este artículo analiza el rol de las ONG en la respuesta al flujo de venezolanos en el Valle de Aburrá (Antioquia, Colombia). La investigación parte de entrevistas a representantes de ONG y busca caracterizar y reconstruir las actividades, conformación, medios y estrategias de estas organizaciones. Se muestra que, en términos de caracterización, existe una distinción fundamental entre las ONG locales y las de cooperación internacional. En cuanto a su alcance, el humanitarismo de emergencia es protagónico; mientras que en las interacciones se identificaron dos categorías de análisis (coordinación y complementariedad) respecto al Estado, así como estrategias de asociación con el sector privado y el tercer sector.
O trabalho com a ortografia no livro didático do 4º e 5º ano
Authors: Campos Carla Giovana de , Merli Rafaela Cristine , Rak Leonardo Igor
Published: December 2023

O presente estudo apresenta uma análise pelo olhar da sociolinguística da abordagem do trabalho com a ortografia de dois livros didáticos para as Séries Iniciais do Ensino Fundamental. São feitas reflexões sobre a sociolinguística, a análise e diagnose de erros e os manuais didáticos. Tivemos como objetivo: i) verificar se há, no suplemento pedagógico do manual do professor, orientações específicas para o trabalho com a ortografia que considerem a oralidade; (ii) avaliar os capítulos e atividades que enfocam as convenções ortográficas e; (iii) propor ajustes ou comentários ao manual do professor e capítulos do livro, que considerem o modelo sociolinguístico de análise e diagnose de erros. Os livros investigados promovem reflexões quanto às influências da oralidade na aquisição das convenções ortográficas e sobre a arbitrariedade do sistema de escrita.
DA NECESSÁRIA TRANSPARÊNCIA INTRAPARTIDÁRIA: O compliance como mecanismo de robustecimento do processo eleitoral democrático
Authors: Gundim Wagner Wilson Deiró , Andréa Gianfranco Faggin Mastro
Published: December 2023

O presente trabalho tem como objetivo apresentar o compliance como mecanismo de fortalecimento da transparência no âmbito dos partidos políticos no Brasil, os quais, segundo dados recentes, não atendem regras mínimas de transparência em sua atuação. Inicialmente, aborda o delineamento dos partidos políticos no Brasil tais como organização, princípios, aplicação e recebimento dos Fundos Eleitorais. Na sequência, trata sobre o compliance, abordando questões introdutórias sobre o tema, para, a partir disso, analisar a possibilidade de sua aplicação no âmbito dos partidos políticos de modo a garantir transparência intrapartidária. Ao fim, verifica a constitucionalidade dos projetos de lei pendentes de aprovação perante o Congresso Nacional que tratam sobre a temática, a partir do status constitucional atribuído às agremiações políticas. Adotando os métodos dedutivo e indutivo, conclui pela necessidade de robustecimento da transparência dos partidos políticos no Brasil, sugerindo alguns mecanismos para esse funcionamento.
Contextos de participação social em saúde: desafios para a efetivação do direito à saúde em sociedades plurais
Authors: Arena Ventura Carla Aparecida , Fiorati Jete Jane , De Paula Queiroz Bonato Patrícia , Janis Eugenio Samira
Published: December 2023

O conceito de saúde não se restringe apenas à ausência de doenças, mas abrange condições concretas de vida, denominadas determinantes sociais da saúde. Em um contexto de profundas desigualdades sociais que dificultam o exercício do direito à saúde, este artigo apresenta como objetivo discutir movimentos de incentivo e desafios enfrentados para a participação social vivenciados no exterior e no Brasil. Trata-se de pesquisa qualitativa descritiva, desenvolvida em duas etapas: por meio de revisão narrativa da literatura sobre práticas participativas em saúde no mundo (regiões de trabalho da Organização Mundial da Saúde) e com dados coletados por meio de entrevistas realizadas com dezesseis membros de um Conselho Municipal de Saúde de uma cidade do interior de São Paulo. Os dados das entrevistas foram analisados utilizando-se a análise de conteúdo e resultaram na categoria temática “Participação, controle social e comunidade local” e nas subcategorias “Importância do Conselho Municipal de Saúde”, “Ausência de Cultura Participativa” e “Falta de acesso à informação e (des)controle social. Nesse sentido, ressalta-se o potencial transformador do referencial dos direitos humanos, quando emerge da mobilização da própria sociedade, em contextos plurais e que valorizam a autonomia e protagonismo de diferentes sujeitos de direito.
LITIGÂNCIA CLIMÁTICA E O CASO URGENDA: ANÁLISE À LUZ DOS DIREITOS HUMANOS
Authors: Faria Thomé da Silva Romeu , Resende Julieth Laís do Carmo Matosinhos
Published: December 2023

A presente pesquisa tem como objeto a litigância climática e o caso Urgenda, tendo como principal objetivo analisar o tema à luz dos Direitos Humanos. Primeiramente, para delimitar e situar o objeto de estudo serão realizadas breves considerações sobre a litigância climática, verificando os principais precedentes que contribuíram para a evolução da jurisprudência internacional sobre o tema. A par disso, será possível analisar o caso Urgenda. A litigância climática pode ser considerada uma estratégia promissora para a proteção ao meio ambiente? Como hipótese, busca-se demonstrar a necessidade da análise do tema à luz dos Direitos Humanos, tendo como referência o Princípio do Desenvolvimento Sustentável. A escolha do tema se justifica pela relevância social e jurídica, além disso a litigância Climática é um tema atual e que requer reflexões diante dos desafios com relação ao aquecimento global, mudanças climáticas e a proteção aos direitos humanos e ao meio ambiente. A metodologia será descritivo-analítica. Os procedimentos técnicos utilizados na pesquisa para coleta de dados serão bibliográfico, doutrinário e documental. O método utilizado será o hipotético-dedutivo.
AS ALTERAÇÕES CLIMÁTICAS CHEGAM AOS TRIBUNAIS CONSTITUCIONAIS: O CASO DO ACÓRDÃO KLIMATCHUTZGESETZ DO BVERFG, DE 24 DE MARÇO DE 2021
Authors: Gomes Carla Amado , Minassa Pedro Sampaio
Published: December 2023

Muitas vezes é a violação de um direito que alumia a existência desse mesmo direito no ordenamento jurídico. No Direito Ambiental, em particular, esta é uma situação frequente. Com a crescente produção normativa do ramo, a relação íntima entre direitos humanos e “meio ambiente ecologicamente equilibrado” tornou-se o principal substrato jurídico para sindicâncias nos tribunais internacionais e nacionais, judiciais e administrativos, ao redor do mundo. Formou-se, paulatinamente, robusta jurisprudência ambiental a partir de um salto no número de litígios tendo o meio ambiente ora como pano de fundo, ora como protagonista das ações judiciais. Ainda mais recentemente, com as inquietantes matérias associadas às causas e aos efeitos das alterações climáticas, os órgãos jurisdicionais têm sido convocados para - não sem um enorme esforço hermenêutico, que um tema tão atual e cientificamente complexo reclama - participar do enredo de superação da mais desafiadora crise de nosso século. As alterações climáticas chegaram, em definitivo, às portas dos tribunais. E às portas da frente, através da “litigância climática”, daí emergindo uma jurisprudência muito própria no seio das mais altas cortes constitucionais de vários países, como é o caso do paradigmático Acórdão “Klimatschutzgesetz”, prolatado pelo Tribunal Constitucional alemão (BVerfG) em 24 de março de 2021, e objeto central das reflexões deste artigo.
A LITIGÂNCIA CLIMÁTICA E OS INTERESSES DAS FUTURAS GERAÇÕES: O CASO NEUBAUER ET AL. VS. ALEMANHA
Authors: Hartwig Elisa Maffassiolli , De Carvalho Délton Winter
Published: December 2023

O presente artigo possui como objetivo analisar a recente decisão do Tribunal Constitucional Federal da Alemanha no caso Neubauer et al. Vs. Alemanha, a partir das lentes do princípio da equidade intergeracional e dos interesses das presentes e futuras gerações. Dessa forma, o artigo se divide em dois eixos; na primeira parte visa-se a desmembrar o conceito de litigância climática, seus objetivos e tendências mundiais, bem como princípio da equidade intergeracional, adotado por diversas cortes constitucionais em casos climáticos como razão de decidir, e sua importância na defesa dos interesses das futuras gerações. Na segunda parte do trabalho, passa-se à análise da decisão do Tribunal Constitucional Federal da Alemanha, no caso Neubauer et al. vs. Alemanha. Demonstrar-se-á que o caso em tela, ao seguir as tendências observadas mundialmente em litígios climáticos, inova em sua abordagem da relação entre crise climática e garantias de liberdade, ao possuir um olhar voltado aos interesses das gerações vindouras, podendo servir como modelo para diversos litigantes ao redor do mundo. O desenvolvimento da pesquisa tem como abordagem o método dedutivo.
LA GOBERNANZA DE LOS DATOS DE LA SOBERANÍA TERRITORIAL A LA SOBERANÍA DIGITAL
Authors: Juri Yamila Eliana
Published: December 2023

El siguiente trabajo problematiza el cambio de paradigma en lo referente a la soberanía política con la influencia de la Inteligencia Artificial, lo que se da en llamar la nueva gobernanza digital. Expresiones como algocracia y vigilancia algorítmica han puesto de manifiesto un escepticismo cada vez mayor sobre el auge de nuevos modelos de gobernanza basados en el análisis de Big Data y la Inteligencia Artificial (IA). Surge, pues, la necesidad de repensar de qué manera el derecho hará frente a estos nuevos dilemas que están produciendo un cambio en la vida social e individual, teniendo en cuenta esta nueva vigilancia, definiendo en particular los espacios de permisión, so pena de movilizar nuevos criterios de resistencia.
RETÓRICA, ARGUMENTACIÓN E INTELIGIBILIDAD DEL DERECHO: UNA PROPUESTA DE ABORDAJE DE LA PRAXIS ARGUMENTATIVA JUDICIAL PARTIR DE LOS APORTES DE PILAR ZAMBRANO.
Authors: De Rosa Eliana , De Rosa Eliana
Published: December 2023

El presente trabajo se propone explorar y analizar las implicancias del reconocimiento de una dimensión discursiva en el fenómeno jurídico como consecuencia del auge del paradigma de la argumentación que ha impregnado las prácticas jurídicas en la actualidad. En particular, me focalizaré sobre el modo en que se complejiza tanto la praxis adjudicativa judicial a partir de la ampliación de marcos de referencia desde los que se opera  como implicancia de las exigencias de contralor de constitucionalidad y convencionalidad. Esta modificación en las prácticas ha facilitado un aumento significativo de la discrecionalidad en las distintas instancias del proceso adjudicativo con la consecuente carga de justificar (argumentar) el modo en que se desenvuelve el razonamiento jurídico en general y judicial en particular. Procuraré demostrar cómo esta problematización de las prácticas jurídicas se materializa en un discurso que conlleva a su vez un ejercicio retórico a los fines de su comunicabilidad, que puede teñir de indeterminación la praxis jurídica tornándola ininteligible. Finalmente argüiré que las complejidades señaladas son susceptibles de superación a partir de la teoría de la inteligibilidad propuesta por la profesora de la Universidad de Navarra, Pilar Zambrano.
Apresentação do dossiê de Direito Ambiental
Authors: Rodrigues Carolyne Ribeiro , Thomé Romeu , Winter de Carvalho Délton , De Bessa Antunes Paulo , Farias Talden
Published: December 2023

Apresentação do dossiê de Direito Ambiental
Structure of relatively free n-tuple semigroups
Authors:   Luhansk Taras Shevchenko National University, University of Potsdam, Zhuchok Anatolii
Published: December 2023

An n-tuple semigroup is an algebra defined on a set with n binary associative operations. This notion was considered by Koreshkov in the context of the theory of n-tuple algebras of associative type. The n>1 pairwise interassociative semigroups give rise to an n-tuple semigroup. This paper is a survey of recent developments in the study of free objects in the variety of n-tuple semigroups. We present the constructions of the free n-tuple semigroup, the free commutative n-tuple semigroup, the free rectangular n-tuple semigroup, the free left (right) k-nilpotent n-tuple semigroup, the free k-nilpotent n-tuple semigroup, and the free weakly k-nilpotent n-tuple semigroup. Some of these results can be applied to constructing relatively free cubical trialgebras and doppelalgebras.
Relationship between quality of life, self-efficacy and social support in patients with multiple sclerosis
Authors: Gurbuz Ilkay Zeynep , Akin Semiha
Published: December 2023

Background:

Multiple sclerosis (MS) causes patients' perceptions of self-efficacy and social support to decline. Patients with MS have to change day-to-day activities and encounter various physical and psychosocial problems while adapting to the new lifestyle.

Aims:

The research aimed to define the quality of life, self-efficacy and social support in patients with MS and to determine the relationship between quality of life, perception of self-efficacy and perceived social support. It is descriptive and correlational research. Data were collected using surveys.

Methods:

The sample consisted of 116 patients with MS. Patients who applied at the neurology in-patient and outpatient clinics between March 2021 and September 2021 were assessed for inclusion criteria. Written and verbal consent was obtained. The patients read and answered the questionnaires. Their quality of life was assessed using the Functional Assessment of Multiple Sclerosis Scale (FAMS). Self-efficacy perception was measured using the General Self-Efficacy Scale (GSE), and social support was assessed using the Multidimensional Scale of Perceived Social Support (MSPSS).

Results:

The study found that the other concerns, symptoms, thinking and fatigue were most negatively affected the quality of life subscales. Perception of self-efficacy was found to be moderate, while social support was high. Analyses revealed a positive correlation between MSPSS scores, FAMS scores and GSE scores (p<0.05).

Conclusion:

Health professionals need to provide education and counselling to manage MS-related symptoms, use therapeutic communication techniques to improve self-efficacy, give positive reinforcement and cooperate with families to increase social support.
The impact of comorbidities on mortality in patients with non-traumatic major lower extremity amputation
Authors: Yağız Betül Keskinkılıç , Göktuğ Ufuk Utku , Sapmaz Ali , Dinç Tolga , Budak Ali Baran , Terzioğlu Serdar Gökay
Published: December 2023

Objective:

Major lower limb amputation is generally associated with a high risk of early and late-term mortality. In this study, 30-day, one-year and three-year mortality of non-traumatic major lower extremity amputations and comorbidities affecting the mortality rate were investigated.

Method:

Patients who underwent a major lower limb amputation secondary to diabetes or peripheral artery disease between the years 2010–2015 were retrospectively evaluated. Additional to patient demographic data and comorbidities, amputation level, survival and mortality time were extracted. Mortality rates after 30 days, one year and three years were analysed. The associations of the survival to different parameters were evaluated with Kaplan–Meier analysis and log rank test, while the impact of the risk factors on mortality was evaluated with the Cox regression test.

Results:

A total of 193 patients were enrolled in the study. Approximately 60% of patients were aged ≥65 years, and 65.8% were male. Below-knee amputation was performed in 64.8% of patients and above-knee amputation in 35.2% of patients. The mean follow-up of patients was 29.48 months (range: 0–101 months). After non-traumatic major lower extremity amputation, 30-day, one-year and three-year mortality were 16.6%, 38.3% and 60.1%, respectively. On Cox regression analysis, age ≥65 years was the only variable that had significant impact on the 30-day mortality (hazard ratio (HR): 3.4; p=0.012), while age ≥65 years (HR: 2.5, p=0.000), diabetes (HR: 2, p=0.006) and renal failure (HR: 2, p=0.001) were found to have significant impacts on three-year mortality.

Conclusion:

The findings of this study showed that >50% of patients with non-traumatic major lower limb amputations died within three years. Advanced age, diabetes and renal failure were the risk factors that increased the mortality. The high mortality rates revealed the importance of employing all hard-to-heal wound treatment options before making an amputation decision. Further, prospective studies are needed to determine the effects of primary disease status and timing of amputation on mortality.
Exploring Secondary School Principals’ Experiences and Leadership Practices in Building Professional Learning Communities: A Case Study in Klang, Malaysia
Authors: Azar Ali Sorayyaei , Subramaniam Yuvenitha
Published: December 2023

A study showed Malaysian students were unable to achieve the minimum standards in Mathematics and Science subjects, prompting the need for educational reformation. With this, educators need to inculcate Professional Learning Community (PLC) to enhance the teaching quality. This study explores secondary school principals’ PLC practices and experiences to improve student achievement in Klang, Malaysia. The qualitative case study was conducted using randomly selected two secondary school principals in Klang. The interview session comprised four interview questions and was conducted via an online platform. The results showed two common PLC practices which are annual meetings and observation. The challenges faced by school principals to implement PLC were time factors, lack of budget, and teacher attitudes. The factors hindering students' learning achievement were family background, lack of focus on education, and teachers' resistance to change. The roles of principals to curb these issues were collecting data on students' learning achievement, equipping teachers with knowledge and resources, being good role models, and building relationships with parents. This study highlighted that school principal 1 has shown unique ideas and approaches in improving students' learning achievement compared to school principal 2. The study suggests using descriptive analysis using more than one group of participants.
Through the Lens of Teachers: Unveiling Educational Administration and Role Intentions in the Multicultural Mosaic of Greek Schools
Authors: Karadimou Maria , Tsioumis Kostis
Published: December 2023

This study aims to investigate the views of active primary and secondary education teachers in Greece while implementing educational administration in the modern Greek school for issues related to multiculturalism and their intention to take an active role in co-shaping internal education policy, considering the country's centralized educational system and the flexibility it leaves for the participants in everyday educational reality. 1052 Primary and Secondary education teachers from Greece took part in the research. Descriptive statistics were used, followed by a test of the effect of the sample's social profile on their perceptions, and complex statistical analyzes such as correlations and multiple regression. The findings shape an educational leader who embraces the core principles of intercultural education. According to teachers, these findings are also considered encouraging, since they delineate a teacher who no longer rests, only, in their pedagogical duties, but understands that they must be part of the educational life. Finally, the findings confirmed the influence that an educational leader can exert with their behavior on the teachers at their school. This research sets the basis for the delineation of educational administration in the modern Greek multicultural educational reality by utilizing various statistical methods.
Resident Perceptions of Competency-Based Korean Medicine Education: A Qualitative, Content Analysis Study Conducted using Focus Group Interviews
Authors: Hong Jiseong
Published: December 2023

Objectives: The new educational system emphasizes acquisition of clinical competency by the time of graduation from Korean medicine colleges that allow Korean medicine doctors to immediately perform clinical tasks. This study investigated awareness of competency-based education in Korean medicine hospital residents who must simultaneously undergo training and assist medical students in clinical practice.Methods: This was a qualitative research that was conducted using focus group interviews (FGIs) to investigate the awareness of demands for improvement in competency-based Korean medicine education in Korean medicine hospital. To apply the principles and procedures of FGIs, a semi-structured questionnaire was developed. Data analysis was conducted using the five steps of framework analysis.Results: According to contents analysis, first competency-based education that reflects actual clinical practice tasks is needed. Second, sufficient basic skill mastery education must be reinforced. Third, an intermediate curriculum that mediates clinical practice and basic education is needed. Fourth, the Objective Structured Clinical Examination and Clinical Performance Examination must be expanded to prepare for the Korean medicine doctor practical test.Conclusions: Korean medicine residents reported the gap between clinical practice and use of knowledge and skills acquired in the curriculum while acting as direct observers and educations of clinical clerkship in hospitals. Based on this exploratory study it is necessary to conduct research on the educational competency of Korean medicine residents who play an important role as educational leaders in Korean medicine clinical practice training.
A study on the status and applicability of Korean medicine EMR for establishment of Korean medicine standard EMR certification criteria:
Through surveys of Korean medical institutions and Korean medicine EMR companies
Authors: Heo You Jin , Lee Cham Kyul , Ryu Soo Min , Byun Jung Won , Roh Jeong Du , Jo Na Young , Seo Byung Kwan , Park Yeon Cheol , Baek Yong Hyeon , Kim Jung Hyun , Choi Sun Mi , Yoon Young Heum , Lee Eun Yong
Published: December 2023

Objectives: The aim of this study is to explore and investigate the status of EMR currently used in Korean medical institutions and the suitability of the existing certification criteria for Korean medicine EMR certification.Methods: The survey was conducted using a related questionnaire from September to October 2022. The survey for current status and the suitability of the existing certification criteria was conducted separately between Korean medical institutions and Korean medicine EMR companies.Results: In a survey of Korean medical institutions on the current status of EMR, more than 80% answered that the imaging system and Korean medicine EMR could be linked. Most medical institutions did not exchange clinical information between institutions. When asked about the intention to develop standard EMR of Korean medicine in the future, 57% of institutions answered ‘yes’. In future, if Korean medicine EMR certification criteria are developed, all EMR companies are willing to develop the EMR that satisfy them. Looking at the satisfaction survey of the existing EMR certification criteria of the Korean medicine EMR system, it was found that high/low satisfaction was shown in various areas, and in particular, the overall clinical information exchange function was insufficient.Conclusion: In order to introduce the Korean medicine EMR certification criteria, it must be considered of the current status of EMR and applicability of Korean medicine EMR for establishment of Korean medicine standard EMR certification criteria. By developing Korean medicine EMR certification criteria, high-quality medical services can be provided to medical consumers who want Korean medical treatment.
Malware Cyber Threat Intelligence System for Internet of Things (IoT) Using Machine Learning
Authors: Xiao Peng
Published: December 2023

Cyber Intelligence (CI) is a sophisticated security solution that uses machine learning models to protect networks against cyber-attack. Security concerns to IoT devices are exacerbated because of their inherent weaknesses in memory systems, physical and online interfaces, and network services. IoT devices are vulnerable to attacks because of the communication channels. That raises the risk of spoofing and Denial-of-Service (DoS) attacks on the entire system, which is a severe problem. Since the IoT ecosystem does not have encryption and access restrictions, cloud-based communications and data storage have become increasingly popular. An IoT-based Cyber Threat Intelligence System (IoT-CTIS) is designed in this article to detect malware and security threads using a machine learning algorithm. Because hackers are continuously attempting to get their hands on sensitive information, it is important that IoT devices have strong authentication measures in place. Multifactor authentication, digital certificates, and biometrics are just some of the methods that may be used to verify the identity of an Internet of Things device. All devices use Machine Learning (ML) assisted Logistic Regression (LR) techniques to address memory and Internet interface vulnerabilities. System integrity concerns, such as spoofing and Denial of Service (DoS) attacks, must be minimized using the Random Forest (RF) Algorithm. Default passwords are often provided with IoT devices, and many users don’t bother to change them, making it simple for cybercriminals to get access. In other instances, people design insecure passwords that are easy to crack. The results of the experiments show that the method outperforms other similar strategies in terms of identification and wrong alarms. Checking your alarm system’s functionality both locally and in terms of its connection to the monitoring centre is why you do it. Make sure your alarm system is working properly by checking it on a regular basis. It is recommended that you do system tests at least once every three months. The experimental analysis of IoT-CTIS outperforms the method in terms of accuracy (90%), precision (90%), F-measure (88%), Re-call (90%), RMSE (15%), MSE (5%), TPR (89%), TNR (8%), FRP (89%), FNR (8%), Security (93%), MCC (92%).
An Efficient Intrusion Detection and Prevention System for DDOS Attack in WSN Using SS-LSACNN and TCSLR
Authors: Singh Vikash Kumar , Sivashankar Durga , Kundan Kishlay , Kumari Sushmita
Published: December 2023

Sensor Nodes (SNs) are utilized by Wireless Sensor Networks (WSNs) to recognize their environment; in addition, the WSN delivers data from sensing nodes to the sink. The WSNs are exposed to several security threats owing to the broadcast performance of transmission along with the increase in the growth of application regions. Countermeasures like Intrusion Detection and Prevention Systems (IDPS) should be adopted to overcome the aforementioned attacks. By implementing these systems, several intrusions can be detected in WSN; also, WSN can be prevented from various security attacks. Therefore, identifying the general attack that influences the SNs mentioned as Distributed Denial of Service (DDoS) attack and recuperating the data utilizing Soft Swish (SS)-Linear Scaling-centered Adam Convolution Neural Network (SS-LSACNN) along with Two’s Compliment Shift Reverse (TCSLR) operation are the intentions of this work. Firstly, for extracting the vital features, the data gathered as of the dataset are utilized. After that, the extracted features are pre-processed. It is then utilized for attack detection. The null features and the redundant data are removed in preprocessing. By employing the Correlation Coefficient-centered Synthetic Minority Oversampling Technique (CC-SMOTE) methodology, data separation regarding classes and data balancing was performed to prevent the imbalance issue. Subsequently, to provide the preprocessed data for attack detection, the Numeralization and feature scaling are executed. After that, by utilizing Chebyshev Distance (CD)-centric K-Means Algorithm (KMA), the real-time SNs are initialized as well as clustered. The data gathered as of the SNs are utilized for attack detection following the clustering phase. Following the detection phase, the data being attacked are amassed in the log file; similarly, the non-attacked data are inputted into the prevention phase. Next, the experiential analysis is carried out for examining the proposed system’s efficacy. The outcomes revealed that the proposed model exhibits 98.15% accuracy, 97.59% sensitivity, 95.72% specificity, and 95.48% F-measure, which displays the proposed model’s efficacy.
Lessons Learned Developing Client Navigation for People who are Trans and Gender Diverse
Authors: Cattapan Alana , Madill Stéphanie , Clark Megan , Young James , Haines Cat , Ebbeson Lori
Published: December 2023

Abstract: Background: People who are trans and gender diverse (PTGD) are underserved regarding healthcare in Canada, including the province of Saskatchewan. Objectives: Design and conduct a research project that will address immediate and pressing community-identified needs related to improving access to healthcare for PTGD in Saskatchewan. Methods: A multidisciplinary, community-based collaboration was established to address the self-identified obstacles to accessing healthcare of PTGD in Saskatchewan. This resulted in a pilot study creating and evaluating a healthcare navigation program. Lessons Learned: The project led to four key lessons: 1) prioritizing team building and the well-being of team members; 2) committing to community-based participatory approaches from the outset; 3) taking language seriously; and 4) acknowledging and addressing power imbalances in our team. Conclusions: The lessons we learned have enabled us to sustain a large, diverse, research team that centers the experience of PTGD in Saskatchewan and is responsive to community need.