bluuebunny/crossref_metadata_2025 huggingface dataset:
¿Cuáles son las características de un programa de doctorado de calidad? Una revisión sistemática de la literatura
Authors: De la Vega Luis Felipe
Published: November 2024

Introducción: Los programas de doctorado están desafiados permanentemente por su calidad. En un escenario de permanente crecimiento de la oferta de dichos programas y el evidente riesgo asociado al aseguramiento de atributos positvo satisfacción con la formación doctoral s en ellos, no se observa un cuerpo analítico consolidado respecto de qué implica integralmente su calidad. Metodología: Se presentan los resultados de una revisión sistemática de la literatura científica sobre los atributos de calidad de los programas de doctorado. Se seleccionaron y analizaron un total de 46 artículos de revistas indexadas en la base de datos Web of Science. Resultados: Se identificaron ocho grandes dimensiones que organizan diferentes factores relacionados con el objeto de estudio: fortaleza de las instituciones de formación y el apoyo ofrecido por ellas; planes y programas de estudios de doctorado; habilidades y conocimientos que los programas buscan desarrollar; Productos de la formación doctoral: publicaciones; Productos de la formación doctoral: disertación; relación entre el director y el doctorando; salud mental y bienestar del doctorando; y satisfacción con la formación doctoral. Discusión: El artículo concluye ofreciendo una perspectiva integrada sobre los atributos que caracterizan la calidad de un programa de doctorado.
Aprendizaje Generativo integral: un modelo para la educación superior ante los desafíos de la inteligencia artificial
Authors: Nuñez-Canal Margarita , Fernandez Ardavin Ana , Díaz-Marcos Luis , Aguado Tevar Oscar
Published: November 2024

Introducción: La tecnología ha revolucionado la educación superior como motor de innovación académica. Destacan la inteligencia artificial (IA) y herramientas como ChatGPT que representan oportunidades e importantes desafíos. Este fenómeno está transforma el proceso de aprendizaje en el entorno universitario y exige una adaptación. Metodología: Desde la hermenéutica se han analizado las tendencias educativas actuales: el aprendizaje centrado en el estudiante (SCL), las metodologías activas y las teorías constructivistas del aprendizaje generativo, indagando en los elementos necesarios para desarrollar una alfabetización en IA (AI Literacy) adecuada en el entorno universitario. Resultados: Se presenta un modelo de Aprendizaje Generativo Integral como marco de actuación a tres niveles para evaluar la implantación de la IA generativa en la educación superior. Discusión: Se discuten los niveles de impacto del modelo enfatizando los aspectos éticos, las implicaciones metodológicas y de evaluación en la interacción con la IA en el proceso de adquisición de conocimientos, competencias y habilidades para estudios universitarios. Conclusiones: Es necesario desarrollar un modelo que integre aspectos metodológicos, éticos y competenciales como el pensamiento crítico, la creatividad y la capacidad de análisis para evaluar los retos y oportunidades que ofrece la IA de forma integral en la educación superior.
Revalorización de la arquitectura por medio del fortalecimiento de la salud urbana en el barrio. Caso de estudio: Barrio la Colón
Authors: Mejia Gomez Gabriela , Ramírez Torres Camila Salom´é
Published: November 2024

Introducción: Las ciudades, como productos complejos de la evolución humana, enfrentan desafíos sociales, económicos y urbanos que generan patologías urbanas. Estas patologías, sin embargo, pueden convertirse en oportunidades para revalorizar la calidad del espacio urbano y arquitectónico. Este estudio analiza la salud urbana de espacios en Quito para proponer estrategias de revalorización. Metodología: El estudio combina análisis cuantitativos y cualitativos dentro del marco del taller "Revalorización del suelo por medio de la Arquitectura para la gestión urbana de la ciudad". Se examina el Plan de Uso y Gestión del Suelo 2022 de Quito, comparándolo con indicadores de salud urbana. La metodología se desarrolló en cuatro etapas: conceptualización, análisis, estrategia y proyectual, aplicadas a un caso de estudio en el barrio La Colón. Resultados: Se identificaron patologías de obsolescencia urbana y arquitectónica a nivel barrial. Los hallazgos informaron estrategias integradas para revalorizar los espacios urbanos y arquitectónicos mediante intervenciones que consideran la salud urbana como eje central. Conclusiones: El estudio propone un modelo estratégico y aplicable a diferentes barrios, destacando la importancia de integrar la salud urbana en la planificación urbana y arquitectónica como herramienta para mejorar la calidad de vida en las ciudades.
O documentário como Instrumento de Conhecimento da Zona Histórica de Castelo Branco: perspetivas dos estudantes do ensino superior.
Authors: Reis Carlos , Ramos Marcos Isabel Maria
Published: November 2024

Introdução: A zona histórica de Castelo Branco foi o cenário para um projeto educativo que envolveu estudantes da licenciatura de Design de Comunicação e Audiovisual da Escola Superior de Artes Aplicadas do Instituto Politécnico de Castelo Branco (ESART). Os alunos foram incentivados a explorar e documentar a história e cultura da cidade através de documentários observacionais e expositivos, bem como a conceção de painéis expositivos. O projeto teve como objetivo principal promover a exploração artística e cultural entre os jovens, contribuindo para a preservação e divulgação da herança cultural de Castelo Branco. Metodologia: A metodologia estruturada incluiu várias etapas sequenciais. Este processo de ensino-aprendizagem, proporcionou aos estudantes uma experiência imersiva, permitindo-lhes desenvolver competências técnicas e artísticas, e aprofundar o conhecimento histórico-cultural e expressar as suas visões criativas. Resultados: Os resultados do projeto serão apresentados numa exposição coletiva, com o intuito de valorizar o património local e inspirar a comunidade a refletir sobre a importância da preservação da memória e identidade cultural. Conclusões: O projeto demonstrou-se eficaz em fortalecer os laços entre as novas gerações e a sua história, utilizando ferramentas audiovisuais para sensibilizar para a conservação do património cultural.
Estrategias de enseñanza innovadoras: implementación de un chatbot en el Grado de Publicidad y Relaciones Públicas
Authors: Martínez Rolán Xabier
Published: November 2024

Introducción: Desde la creación de ELIZA en 1966, la interacción humano-máquina ha evolucionado significativamente con avances como los modelos de Transformers, revolucionando el procesamiento del lenguaje natural en la educación. Metodología: Se desarrolló un chatbot educativo utilizando una plataforma no-code que cumplía criterios de facilidad de uso, propiedad de los datos, y capacidad de integración. Se implementó un análisis de contenido detallado para evaluar las interacciones de los estudiantes, combinando métodos cuantitativos y cualitativos. Resultados: El chatbot demostró ser una herramienta efectiva en la educación, facilitando el acceso a información personalizada y mejorando la preparación para exámenes. Las interacciones analizadas revelaron una alta frecuencia de uso y satisfacción entre los estudiantes. Discusión: Los resultados destacan la capacidad de los chatbots para personalizar el aprendizaje y su potencial para integrarse en diversas plataformas educativas, aunque se identificaron desafíos en la precisión de las respuestas y la adaptación a contextos educativos específicos. Conclusiones: El estudio confirma el impacto positivo de los chatbots en la educación y subraya la importancia de continuar explorando su integración y optimización en entornos educativos.
Perspectivas de los CEO de las agencias de comunicación y marketing sobre el CommTech
Authors: Valdiviezo Abad Cesibel , Yaguache Quichimbo Jenny , Erique Riofrío María Belén
Published: November 2024

Introducción: Los avances tecnológicos en el campo de la comunicación cada vez más van en aumento y las organizaciones intentan en paralelo ir al mismo ritmo, aunque eso signifique grandes desafíos. Pero necesarios para generar una comunicación más rápida con los públicos, pero sobre todo para lograr organizaciones más eficientes. Entonces aparece el CommTech, que es la digitalización de la comunicación y el marketing a través del uso de tecnología vigente. Metodología: Este estudio, a través de una metodología cualitativa y del instrumento de investigación entrevista semiestructurada, muestra la perspectiva de 5 CEO de diferentes agencias de comunicación y marketing de Ecuador. Discusión: Las implementaciones tecnológicas son fundamentales en las áreas de comunicación. Sin embargo, en las organizaciones se detectan debilidades y/o necesidades comunicacionales y tecnológicas para mejorar la gestión de la comunicación. Conclusión: Como resultado, se logra evidenciar que las tecnologías son recursos que permiten potenciar la comunicación con los públicos, generar un valor diferencial entre la competencia, valorar la adaptabilidad al cambio desde las organizaciones y promover una constante actualización en conocimientos.
Premio Gabo: análisis histórico-crítico de un referente de los valores de la crónica latinoamericana
Authors: Robledo-Tangarife Juan José , Rubira-García Rainer
Published: November 2024

Introducción: La Fundación Gabo para el Nuevo Periodismo Iberoamericano, creada por el periodista y escritor Gabriel García Márquez, ha alcanzado una importante consolidación a lo largo de sus 30 años de existencia. Esta organización se ha convertido en un referente de los valores éticos y narrativos que caracterizan la crónica latinoamericana. A través de sus talleres, publicaciones y reconocimientos como el Premio CEMEX-FNPI y el Premio Gabo, ha influido en una generación de periodistas, manteniendo vivos los ideales de compromiso y periodismo de calidad defendidos por García Márquez. Metodología: En este texto se emplea un enfoque histórico-crítico para analizar la evolución del Premio Gabo desde sus inicios hasta la actualidad. Se examinan tanto su impacto en el periodismo iberoamericano como su función en la intersección entre literatura y periodismo. Además, se consideran las circunstancias en las que los medios y los periodistas han demostrado resiliencia frente a amenazas y crisis económicas. Resultados: El análisis revela que, en una década de existencia, el Premio Gabo ha consolidado su prestigio como el galardón de mayor reputación en la región. Este reconocimiento no sólo premia la calidad periodística, sino también el compromiso con los valores éticos y la innovación narrativa. El premio ha logrado destacar la capacidad de los periodistas iberoamericanos para enfrentar desafíos profesionales y económicos, manteniendo una perspectiva única y enriquecedora sobre el mundo. Discusión: La Fundación Gabo ha tenido un impacto considerable en la formación de periodistas en América Latina, fomentando la importancia de una narración ética y responsable. El Premio Gabo, en particular, ha funcionado como una plataforma que no solo celebra el trabajo bien hecho, sino que también subraya la necesidad de un periodismo comprometido en tiempos de crisis. El legado de García Márquez se refleja en la manera en que la fundación y sus premios impulsan a los profesionales a mantener altos estándares de calidad, a pesar de los desafíos globales. Conclusiones: A lo largo de sus tres décadas de existencia, la Fundación Gabo ha logrado convertirse en un pilar del periodismo iberoamericano, influyendo significativamente en una generación de periodistas. El Premio Gabo, en sus diez años de trayectoria, ha destacado por promover la intersección entre la literatura y el periodismo, así como por su defensa del compromiso ético. Este análisis refuerza la idea de que la labor de la fundación y su premio continúan siendo esenciales para la resiliencia y evolución de los medios en la región.
Sin Istre posvećen hrvatskim povijesnim vrelima (povodom 85. obljetnice života akademika Josipa Bratulića i uoči njegove 25. obljetnice članstva u HAZU-u)
Authors: Jurković Ivan
Published: November 2024

Članak je uglavnom nastao na temelju predavanja „Rad akademika Josipa Bratulića na povijesnim izvorima“ održanoga u Svečanoj dvorani Tone Peruška na Filozofskom fakultetu Sveučilišta Jurja Dobrile u Puli (18. listopada 2019.). Predavanje je održano na simpoziju naslovljenu „Hvala delu i težaku“, a posvećenu 80. obljetnici života akademika Josipa Bratulića, u organizaciji navedenoga fakulteta i Kluba hrvatskih književnika „Dr. Ljubica Ivezić“. Autor je u članku predstavio tri polja rada akademika Bratulića na hrvatskim pisanim izvorima. Prvo je vezano uz početke njegova znanstvenoga istraživanja, počevši od magistarskoga rada Apokrif o Prekrasnom Josipu u hrvatskoj srednjovjekovnoj književnosti (obranjen 1970.) i doktorske disertacije Istarski razvod kao književni spomenik srednjovjekovne Istre (obranjena 1975. godine na Filozofskom fakultetu Sveučilišta u Zagrebu). Od tada se posvetio istraživanju srednjovjekovnih i ranonovovjekovnih izvora pisanih glagoljicom – djelujući podjednako i kao priređivač znanstvenih kritičkih izdanja i kao prevoditelj rukopisa. Drugo polje odnosi se na priređivanje tekstova i pretisaka djela renesansnih, baroknih, ranomodernih odnosno preporodnih hrvatskih autora ili autora koji su pisali o Hrvatskoj. Među njima su Marulić, Nikola Šubić Zrinski, Zoranić, Gundulić, obojica Vrančića (Antun i Faust), Jurjević, Belostenec, Habdelić, Katarina i Petar Zrinski, Ritter Vitezović, obojica Relkovića (Matija Antun i Josip Stjepan), Kanižlić, Fortis, Katančić, Brezovački, Čevapović, Gaj, Kurelac, Mažuranić, Voltić, Kundek, Volčić, Starčević i Benešić. Treće polje njegova rada, recenziranje znanstveno-kritički pripremljenih prijepisa i prijevoda pisanih izvora, tek je u osnovnim natuknicama spomenuto i daleko je od cjelovite valorizacije takva njegova rada. Radom se na povijesnim izvorima akademik Bratulić pridružio ne samo neumrlim zaslužnicima hrvatske historiografije nego i zaslužnicima hrvatske (paleo)slavistike, filologije i povijesti književnosti. S obzirom na njegov opus vjerujemo da će sadašnjim i budućim naraštajima znanstvenika, ali i ljubiteljima hrvatske pisane i kulturne baštine bez obzira na stupanj njihove obrazovanosti, poslužiti rezultati njegova rada. To je, uvjereni smo, bilo i ostaje njegovo životno poslanje.
A magnetic fluid stabilized by a double layer of surfactant in water rejects known models of rheology and dipole-dipole interaction
Authors: Lebedev A. V.
Published: November 2024

Three samples of magnetic fluid based on magnetite particles stabilized by a double layer of surfactant in water were synthesized. To stabilize the samples, lauric, oleic acids and their salts were used in three different combinations. The viscosity of the synthesized samples was measured as a function of concentration, temperature, and shear rate. With increasing temperature, the viscosity of a liquid sample stabilized by a double layer of lauric acid does not decrease relative to the viscosity of water, as was previously observed for classical magnetic fluids, but increases. For a sample stabilized by two layers of lauric and oleic acids, the temperature dependence of relative viscosity is non-monotonic. The relative viscosity of a sample stabilized with a double layer of oleic acid is practically independent of temperature.
To determine the concentration of the samples, measurements of magnetization curves were carried out, followed by their granulometric analysis. It has been established that the dispersed composition of the samples remains unchanged when diluted. The initial susceptibility of liquid samples was found to increase more slowly with increasing concentration than predicted by the modified effective field model. In contrast to the MEP model (and not only it), the coefficient of the quadratic term in the expansion of the initial susceptibility in the Langevin susceptibility series turned out to be significantly less than 1/3. Thus, to describe the properties of magnetic fluids stabilized with a double layer of surfactants, the construction of new theories of dipole-dipole interaction of particles is required.
Changes in physicochemical and sorption properties of bleaching clay during heat treatment
Authors: Sverguzova S. V. , Gafarov R. R. , Zubkova O. S. , Sapronova J. A. , Shaikhiev I. G.
Published: November 2024

The work investigated changes in the physicochemical and colloidal sorption properties of heat-treated bleaching clay after its use in the process of refining vegetable oil. As a comparison, we used bleaching clay heat-treated at different temperatures. Colloidal sorption properties were studied by adsorption of methylene blue dye from aqueous solutions.
It has been shown that the adsorption of methylene blue occurs more efficiently with clay fired at a temperature of 350°C. Adsorption in the saturation region for clay heat-treated at 350°C was 0.28 mmol/g or 89.6 mg/g, and for clay fired at 250°C – 0.24 mmol/g or 76/8 mg/g. When the firing temperature increases above 500°C, the adsorption properties of the bleaching clay waste decrease, probably due to the combustion of the carbon layer.
Using the example of spent bleaching clay from the Alekseevsky oil extraction plant, it was revealed that during the heat treatment of the material, various types of water (free, interpacket, chemically bound) are removed, which leads to a change in colloidal sorption properties such as particle surface relief, specific surface area, sorption capacity ζ-potential.
Increasing the water solubility of N-acyl-substituted amino acid esters as inhibitors of the replication of modern influenza A virus strains in vitro due to zinc(II) complexation
Authors: Garaev Т. М. , Yudin I. I. , Breslav N. V. , Savochkina Т. Е. , Krepkaya А. S. , Grebennikova Т. V. , Nikiforova S. Е. , Myshletsov I. I. , Avdeeva V. V. , Malinina Е. А.
Published: November 2024

This article proposes carbocyclic derivatives of N-acylated esters of L-amino acids with aromatic carboxylic acids as antiviral low-molecular agents. To increase the water solubility of inhibitors that are insoluble in aqueous solutions, the target compounds were used in the form of zinc(II) complexes. It has been shown that hydrophobic organic compounds in the form of zinc(II)-coordinated ligands are capable of suppressing the replication of an influenza A virus strain resistant to adamantane-type drugs. Zinc(II) chloride at the concentration used does not have antiviral or toxic effects in experiments in vitro.
The EU Strategic Approach to China (2016‒2023)
Authors: Leushkin D. V , Samoilov N. G
Published: November 2024

The goal of the article is to identify the main stages of the formation of the ambivalent image of the PRC in the European discourse, as well as the causes and factors that determined the transformation of the approach to China in official documents and statements, including the points of view of a number of European think tanks. The first stage is related to the emergence of prerequisites for the deterioration of bilateral relations due to the intensification of economic contradictions. The second one is linked to Beijing’s dual role as a partner and competitor becoming mainstream in Europe in the context of the deteriorating relations. Finally, the third stage is associated with the growing EU’s ambitions in ensuring international and regional security, in particular those highlighted in the Strategic Compass, and negative attitude of the EU towards the Chinese stance on the Russo-Ukrainian conflict. The authors use a world-systems approach, focusing on the influence of external economic factors on the development of the European dis-course towards China. The research relies on the analysis and comparison of the EU documents, official statements made by heads and representatives of the European institutions, as well as publications provided by experts and analytical centres studying relations between the EU and PRC. The consolidation of China’s contradictory image as both partner and rival in the official European discourse and expert community is quite natural. It is related to the aggravation of the crisis of the world-system itself, transformation of the world order, as a result, the actualisation of economic disagreements, which can be illustrated by the EU’s trade deficit with China. Brussels’ modern approach to Beijing fits into the logic of the confrontation between «democracies» and «autocracies» – the conflict with China is publicly covered not as an economic rivalry, but as an existential struggle between different political systems articulated in ideological terms. The authors believe that such an internally contradictory approach to China will remain dominant in the face of the above-mentioned issues.
The Britain’s Influence in the Post-Soviet Space: Socio-Humanitarian Aspect
Authors: Sutyrin V. V
Published: November 2024

The paper is aimed at investigating the recent trends of Britain’s socio-cultural influence in the former USSR republics. The analysis covers London’s major regional programmes, financing, mechanisms of influence, and implementing organisations. Subregional differentiation of political approaches is established. In Ukraine and Moldova sociocultural in-fluence infrastructures are aimed at direct political influence as well as military and political struggle with Russia. In the South Caucasus London prioritises broadening influence in the interstate dialogue and conflicts as well as anti-Russian information campaigns with the aim of removing Russian military presence. In Central Asia Britain works on broadening regional footprint through technical and socio-economic programmes. The author concludes that preservation of limitrophe status of the former USSR republics constitutes merely one possible mode of British regional policy. The other mode consists of regional order revision which presupposes transition from strengthening a neutral status of post-Soviet states towards instrumentalising their dependencies on Britain’s influence in the ongoing geopolitical contest with Russia. In the face of transition to a polycentric world order Britain’s development assistance and influence programmes evolved in the direction of politicisation and weaponisation. Hence destabilisation risks for post-Soviet states increase. In the context of a “unipolar moment” London was interested in the development of post-Soviet space as a part of global periphery of the Western-centric international system, but not as a part of an alternative geoeconomic pole. Amid the transition to a polycentric world order British system of influence is increasingly coming into conflict with alternative poles hence proliferating destabilisation risks for the former USSR republics.
Distribution and ecological features of the weevil Sitona onerosus Faust, 1890 (Coleoptera, Curculionidae) in European Part of Russia
Authors: Dedyukhin S. V. , Korotyaev B. A.
Published: November 2024

Data on the distribution, landscape and biotopical, and also trophic associations of Sitona onerosus Faust, 1890 (Curculionidae) in European Russia are reported. This Central Palaearctic steppe species is for the first time reliably recorded in the centre of the European part of the country (Voronezh Prov.) and in the eastern part of the Russian Plain (Samara and Orenburg provinces, Tatarstan and Bashkortostan). Lectotype and paralectotypes of Sitona uralensis L. Arn. are designated in the collection of the Zoological Institute, Russian Academy of Sciences.
Research the Level of Chaotic and Reliability in Webcam-generated Random Number Sequences
Authors: Diachuk Rostyslav , Dobrovolsky Yuriy , Hanzhelo Dmytro , Prokhorov Heorhii , Trembach Denis
Published: November 2024

Engineering and software solutions in the sphere of software engineering, in particular cryptography, constantly require the use of random sequences in their algorithms. Usually, standard methods of frameworks, software platforms, libraries and programming languages do not provide the necessary level of randomness of generated number sequences. Basically, the randomness of software generators of random sequences is based on a value of a certain system parameter, for example, the value of the current date and time. It is obvious that with simple cyber-attacks it is possible to put the crypto-resistance of the system at risk. To solve this problem, the property of the webcam to generate the same image from a state frame is used. It is shown that the fact of changing values of illumination created by pixels differs by at least 63% for two consecutive frames 100 milliseconds gap in complete darkness, the level of the avalanche effect exceeds the crypto-resistance requirement by 13%. Thus, we can talk about a high level of chaos and randomness of the generated numerical sequences. Frame generation was carried out both in complete darkness with an illumination of 10-4 lux, and in a uniformly illuminated (200 lux) white surface. Testing the camera under extreme conditions gives a complete picture of the unpredictability and chaos in the generation of random sequences. It is hypothesized that this approach theoretically allows a generation of random number sequences at a speed of 1.25 Gbit/s, and a mixed software-hardware solution is able to provide up to 10 Gbit/s. The approach built on this property of a webcam can provide a way to solve the problem of designing an affordable low-cost, crypto-resistant high-speed hardware random number generator in laboratory conditions without the involvement of a special equipment.
USING COGNITIVE STRATEGIES IN TEACHING PROFESSIONALLY ORIENTED FOREIGN LANGUAGE READING
Authors: BAYKOVA I.A. , BORTNIKOVA A.V.
Published: November 2024

В статье обсуждается значимость использования когнитивных стратегий в процессе обучения чтению текстов на иностранном языке с профессиональной направленностью. Авторы предполагают, что применение этих стратегий может значительно улучшить результаты обучения чтению у студентов неязыковых вузов. Для подтверждения этой гипотезы было проведено исследование, целью которого стало выявление когнитивных стратегий, используемых обучающимися.
BLACK AND BALSAM POPLARS OF RUSSIA, THEIR NATURAL AND CULTURAL HYBRIDS: MOLECULAR DATA, RELATIONSHIPS, AND STATUS
Authors: NASIMOVICH YU.A. , KOSTINA M.V. , BORKHERT E.V. , PUSHKOVA E.N. , MURATAEV R.A. , DMITRIEV A.A. , MELNIKOVA N.V.
Published: November 2024

Molecular genetic methods were used to study all wild poplar species (Populus L., Salicaceae), which belong to the subgenus Tacamahaca (Spach) Penjkovsky, i.e. representatives of section Aigeiros Duby (black poplars, 29 specimens) and section Tacamahaca Spach (balsamic poplars, 100 specimens), as well as their natural and cultivated hybrids (186 specimens), including intersectional hybrids (180 specimens); hybrids involving American poplar Populus deltoides s.l. cultivated in Russia were also considered. In 7 cases, 2 possible definitions are given. Another 57 specimens were not identified to species, but their gender was taken into account. In total, the studied collection is represented by 379 specimens. Targeted deep sequencing of sequences of NTS 5S rDNA, ITS, DSH 2, DSH 5, DSH 8, DSH12, DSH 29, 6,15, 16, X18, trnG-psbK-psbl, rps2-rpoC2, rpoC2-rpoC1, as well as sites of the gender locus (for the first time!) and ARR17 gene for all specimens (partial repeats of this gene are located in the gender locus) was performed...
Intelligent Engineering and Sustainable Development of Wastewater Treatment
Authors: Ma Tiantian
Published: November 2024

In order to alleviate the rural water environment pollution problem, which restricts the rural ecological environment and hinders the sustainable development of agriculture, the rural sewage treatment system based on smart water services was proposed. The system is developed in B/S mode and adopts distributed component structure, which can be applied to a variety of hardware platforms and operating systems. Each application end obtains on-site data and operation and maintenance conditions through the data cloud platform to realize remote centralized management of sewage treatment stations. The results show that the sewage treatment system has a good removal effect on COD Cr, BOD 5, NH 3 - N, TN, TP, SS and other pollutants in sewage, and the removal rate is more than 80%. Conclusion: The system can improve the operation efficiency of rural sewage treatment system, realize the long-term effective operation of rural sewage treatment project, and improve the level of rural water environment management and sewage treatment capacity
A Study on the Design of Personalized Medical Assistance Products Based on Artificial Intelligence Technology
Authors: Li Qian , Yan Kechun
Published: November 2024

This paper discusses the design of personalized medical auxiliary products based on artificial intelligence technology, focusing on the needs of amyotrophic lateral sclerosis (ALS) patients. Through inclusive design method and AHP analytic hierarchy process, an innovative design scheme for patients with frostbite was proposed, covering human-computer interaction, medical functions, visual presentation and morphological structure. The operation feasibility and weight credibility of the design scheme are verified by consistency test, providing new development paths and opportunities for medical technology innovation.
Big Data Analytics and Applications Based on Metered Asset Full Life Cycle Management Scenarios
Authors: Li Rui , Zhang Ruijia , Sun Xiongfei
Published: November 2024

With the in-depth development of measurement business informatization, how to establish the monitoring, analysis and management mechanism of measurement assets’ life-cycle data has become a key problem to be solved. This paper aims to improve the effectiveness of measurement asset life-cycle management through big data analysis technology. Based on the architecture and functions of the measurement production scheduling platform (MDS), this paper uses ETL technology to achieve data extraction and conversion, and analyzes massive data through offline data mining and real-time data mining. The research results show that through clustering analysis, potential correlation analysis and trend prediction, the weak links in the life cycle of measured assets can be effectively identified, the management process can be optimized, and the management efficiency can be improved. The research in this paper is of great significance to the refined management of power metering assets, and provides theoretical and practical support for further improving management efficiency.
The Construction of Professional Curriculum System for Intelligent Healthy Aging Service and Management in Higher Vocational Education in the Context of Digital Intelligence
Authors: Xiao Xi
Published: November 2024

Based on data mining, this paper designs the online teaching resource integration system for the courses of intelligent health care service and management, including the design of TPS70345 chip and C6722B memory in the hardware part, as well as the big data resource integration architecture and teaching data mining model in the software part. The experimental results show that compared with the traditional system, this system integrates resources faster, and the longest time is only 0.996 seconds, which proves its good performance.
An Analysis of Microgrid Capacity Optimization in Power Systems Based on Intelligent Algorithms
Authors: Qu Xinying , Qu Dongzhe , Liu Guangyu
Published: November 2024

In order to solve the problem of unbalanced capacity ratio and overload of each micro power source in microgrid, an optimization analysis of microgrid capacity in power system based on intelligent algorithm is proposed. This paper aims at establishing a capacity optimization allocation model for grid-connected microgrids containing wind, solar, diesel and storage, taking the lowest comprehensive operating cost as the objective function, and taking the output of distributed power sources and pollutant emissions as constraints. The refractive reverse learning mechanism, differential mutation crossover selection strategy and dynamic step factor improved standard sparrow search algorithm are used to solve the model, and compared with the whale optimization algorithm, differential algorithm, gray wolf algorithm and sparrow search algorithm. Two typical days in a certain area were selected for example analysis. The experimental results show that the required costs are reduced by 3.05%, 4.12%, 8.46% and 1.13% respectively compared with the other four algorithms. Conclusion: The model proposed in this article is reasonable, and the improved SSA has good optimization capabilities.
The Application and Optimization of Handicrafts Design Under the Perspective of Non-Heritage Culture
Authors: Wang Xiaojiao , Li Wenjun
Published: November 2024

In order to “reproduce” and “innovate” Tianshui lacquer carving handicraft workshop in the current era of economic development, to inherit and protect Tianshui lacquer carving, the application and optimization of the design of Tianshui lacquer carving as a handicraft under the perspective of non-heritage culture are proposed. Optimization is proposed. Firstly, the interior space design of Tianshui lacquer carving handicraft workshop is conceptualized, and the influence of its characteristics on the workshop space is analyzed from the characteristics of lacquer craft. According to the proposed design strategy of Tianshui lacquer craft workshop, theoretical verification is carried out in design practice, and specific design expressions are analyzed. The practical results show that: the first-floor space of the craft workshop mainly has the behavioral activities of visiting, making, negotiating and purchasing, and the corresponding main functional areas are display functional area, reception and negotiation functional area, and the second floor is mainly set up for the experience space. The scale of furniture used in the space affects the comfort of people in the space. Conclusion: This study provides theoretical basis and design reference for the space design of Tianshui lacquer carving handicraft workshop.
A Study on Demand Forecasting and Resource Allocation Optimization of Public Legal Services Based on Big Data Analysis
Authors: Liu Ye
Published: November 2024

The proposal aims to meet high legal service demand by forecasting needs and optimizing resource allocation through big data analysis. It focuses on constructing a public legal service system in Binhai New Area, analyzing its current status, identifying issues, and evaluating the supply and demand of legal services. Recommendations cover enhancing publicity, optimizing resource allocation, developing service products, and diversifying service delivery methods.
Automated Financial Statement Analysis Based on Deep Learning Neural Networks
Authors: Huang Haoying , Yuan Ye
Published: November 2024

In order to help enterprises take preventive measures in advance and reduce the impact of risks, automated financial statement analysis based on deep learning neural networks is proposed. This paper proposes a combined prediction model based on gray prediction and BP neural network, which can complement each other and bring into play their respective advantages. Taking the financial statement data of Company H from 2014 to 2021 as a sample, a gray BP neural network combination model was constructed, and an example verification analysis was conducted. The empirical results show that the average relative error of the single gray prediction model is 3.81%, and the average relative error of the combined model is 1.09%. This fully demonstrates that combining the gray prediction GM(1,1) model with the BP neural network model can Improve the accuracy of prediction and make the prediction results more accurate. Company H’s financial risk warning value in 2022 is 76.51. The financial risk has decreased compared with 2021, but it is still in the medium warning zone. Conclusion: Compared with a single gray model, the average relative error of the combined model is smaller, that is, the prediction accuracy is higher.
A Study on the Characteristics and Development Strategies of the Sports Tourism Industry
Authors: Hu Yunfei
Published: November 2024

In order to solve the problems of long retrieval time of sports tourism data calculated using traditional methods, large sports tourism data integration errors, and high energy consumption of sports tourism service management, research on the characteristics and development strategies of the sports tourism industry is proposed. This paper calculates the similarity of sports and tourism industry integration resources from the two levels of feature words and the environment where sports tourism resources are located, and then uses the application of Internet of Things technology and edge computing technology in the integration of sports and tourism industries as the research object to obtain the calculation results. and compared with traditional methods. Experimental results show that the minimum data retrieval time of this method is only 2.69s, and the sports tourism data fusion error is low. Conclusion: The system in this paper has significantly improved the existing problems and fully verified the practical application value of this method.
Optimal Allocation of Energy Storage Considering the Risk of Insufficient Flexibility
Authors: Gong Fangliang , Zhou Shengyu , Jiang Zhuohan , Pan Yujian , Liu Shuncheng , Peng Jian , Zha Yang , Tu Jingyi , Li Shuzhong
Published: November 2024

Aiming at the problem of random power fluctuation in active distribution network caused by high proportion of photovoltaic power generation, this paper puts forward an optimal allocation method of energy storage considering the risk of insufficient flexibility. By establishing a risk cost model with insufficient flexibility and comprehensively considering the scheduling strategies of various flexible resources, the optimization of safety, economy and flexibility is realized. The simulation results show that this method effectively reduces the cost of energy storage configuration and system operation, and improves the stability and security of power grid
A Study of Human Resource Management Optimization Strategies Based on Artificial Intelligence
Authors: Wu Xin , Lai Yan
Published: November 2024

In order to solve the problem of system calculation errors in traditional human resources information management systems, research on human resource management optimization strategies based on artificial intelligence is proposed. This paper first builds a behavior record matrix based on the Hadoop distributed architecture platform using employees’ satisfaction with the company’s projects, and then analyzes and designs a system suitable for human resources information management through the collaborative filtering algorithm to achieve parameter setting and partitioning. Comprehensive management of five major modules: management, staff management, user management and production management. Finally, a specific experimental analysis was conducted on the human resources information management system. The experimental results show that when 1571 employees generate 28325 employee rating records, the system response times of 2 nodes and 3 nodes are 7.4s and 4.8s respectively, which are significantly shorter than the non-distributed algorithm. At the same time, the collaborative filtering algorithm is faster than the non-distributed algorithm. The MSE and MPE of the formula algorithm are 0.39% and 0.52% smaller respectively. Conclusion: The collaborative filtering algorithm in this study can be competent for the data distributed computing tasks of human resource management systems.
An Artificial Intelligence Approach to Fault Detection and Diagnosis in Industrial Robots
Authors: Hou Xue
Published: November 2024

In order to solve the problem of low accuracy and slow speed of fault diagnosis during the operation of industrial robots, an artificial intelligence method for fault detection and diagnosis of industrial robots was proposed. Firstly, the fault data of industrial robots are enhanced by random sampling and Mixup; Secondly, the original running data of industrial robots are trained end-to-end using SRIP one-dimensional convolutional neural network (CNN-1D); Finally, the trained model is used for rapid fault diagnosis of industrial robots. The experimental platform uses a domestic robot equipment to collect 3 million pieces of operation variable data, such as torque, speed, position, current, and so on. The diagnostic accuracy index is tested experimentally and compared with WDCNN and CNN-1D models. The experimental results show that, according to the experimental results, in most cases, the correct rate of each type of fault is more than 99%, which indicates that the robot fault diagnosis model built by SRIPCNN-1D can diagnose this type of fault with high accuracy and achieve fault location. Conclusion: This method can effectively diagnose the faults of industrial robots.
An Analysis of the Path and Optimization Strategy of Social Work Intervention in Elderly Vulnerable Groups Under the Perspective of Big Data Monitoring
Authors: Song Yining , Niu Xixia
Published: November 2024

In order to solve the problems of low utilization rate of disease prediction data and single analysis in community health care, an optimization strategy based on big data monitoring and social work intervention was proposed. The characteristics of residents’ physiological data were extracted by principal component analysis (PCA) and cluster analysis, and the support vector machine (SVM) model was optimized by combining the artificial bee colony (ABC) algorithm for disease prediction. The experiment shows that the SVM model optimized by ABC is superior to the traditional SVM and BP-NN methods in the accuracy of disease prediction, with the accuracy increased by 17.24% and 72.41%, and the indicators such as RMSE, precision and recall have improved. This method effectively improves the data utilization rate and prediction accuracy, and is suitable for community health management and elderly monitoring.
IDEAS BY STATISTICAL MECHANICS (ISM)
Authors: Ingber Lester
Published: November 2024

Ideas by Statistical Mechanics (ISM) is a generic program to model evolution and propagation of ideas/patterns throughout populations subjected to endogenous and exogenous interactions. The program is based on the author's work in Statistical Mechanics of Neocortical Interactions (SMNI), and uses the author's Adaptive Simulated Annealing (ASA) code for optimizations of training sets, as well as for importance-sampling to apply the author's copula financial riskmanagement codes, Trading in Risk Dimensions (TRD), for assessments of risk and uncertainty. This product can be used for decision support for projects ranging from diplomatic, information, military, and economic (DIME) factors of propagation/evolution of ideas, to commercial sales, trading indicators across sectors of financial markets, advertising and political campaigns, etc. It seems appropriate to base an approach for propagation of ideas on the only system so far demonstrated to develop and nurture ideas, i.e., the neocortical brain. A statistical mechanical model of neocortical interactions, developed by the author and tested successfully in describing short-term memory and EEG indicators, is the proposed model. ISM develops subsets of macrocolumnar activity of multivariate stochastic descriptions of defined populations, with macrocolumns defined by their local parameters within specific regions and with parameterized endogenous inter-regional and exogenous external connectivities. Parameters of subsets of macrocolumns will be fit using ASA to patterns representing ideas. Parameters of external and inter-regional interactions will be determined that promote or inhibit the spread of these ideas. Tools of financial risk management, developed by the author to process correlated multivariate systems with differing non-Gaussian distributions using modern copula analysis, importancesampled using ASA, will enable bona fide correlations and uncertainties of success and failure to be calculated. Marginal distributions will be evolved to determine their expected duration and stability using algorithms developed by the author, i.e., PATHTREE and PATHINT codes.
ALSATION Study Protocol: Romanian Translation of Three Health Literacy Surveys
Authors: Cordoş Ariana-Anamaria , Ştefănigă Sebastian-Aurelian , Muntean Călin , Vernic Corina Violeta , Bolboacă Sorana D.
Published: November 2024

Access to the internet and online resources changes the concept of health and increases people’s autonomy. In this context, Health Literacy (HL) is a critical determinant of health-related choices. At World Health Organization (WHO) level, M-POHL (Action Network on Measuring Population and Organizational Health Literacy of WHO-Europe) created and validated on European population four questionnaires: digital HL (HLS19-DIGI), communication HL (with doctors from health care services - HLS19-COM-P-Q11 long version and HLS19-COM-P-Q6 short version), online navigation HL (HLS19-NAV), and vaccination HL (HLS19-VAC). Based on the expertise of the team, the present study aimed to report the study protocol for Romanian translation, culturally adapting and psychometric testing the following three M-POHL health literacy tools: HLS19-DIGI, HLS19-NAV, and HLS19-COM-P-Q11, HLS19-COM-P-Q6. We will conduct a qualitative descriptive study design in seven steps to translate and adapt the HLS19-DIGI, HLS19-NAV, and HLS19-COM-P-Q11, HLS19-COM-P-Q6 to the Romanian speakers. The study will begin with the translation of English (En)-Romanian (Ro) (2 researchers involved) (step 1), followed by the evaluation of the translation by a bilingual researcher independent of the two researchers who did the En-Ro translation (step 2), the translation of Ro-En (2 researchers but not those in step 1; step 3), the evaluation of the translation by a bilingual researcher independent of the two researchers who did the Ro-En translation (step 4), evaluation of the translation of the tool in an expert group (step 5), pilot testing on a sample of the target population (step 6) and full psychometric testing of the version resulting from step 6 (step 7).
Integrating Clinical Data and Patient-Reported Outcomes for Analyzing Gender Differences and Progression in Multiple Sclerosis Using Machine Learning
Authors: Viguera Moreno Minerva , Marzo Sola Maria Eugenia , Sanchez de Madariaga Ricardo , Martin-Sanchez Fernando
Published: November 2024

Multiple sclerosis (MS) is a complex neurodegenerative disease with a variable prognosis that complicates effective management and treatment. This study leverages machine learning (ML) to enhance the understanding of disease progression and uncover gender-based differences in MS by analyzing clinical data integrated with patient-reported outcomes (PROMs). We conducted a prospective cohort study involving 250 MS patients at a secondary care hospital in Spain over an 18-month period. Using REDCap for data management, we collected comprehensive demographic, clinical, and PROMs data. Our analysis utilized Decision Trees, Random Forest, and Support Vector Machine algorithms to classify patients based on disease evolution and infer Expanded Disability Status Scale (EDSS) levels. Additionally, we employed propensity score matching to analyze gender differences, focusing on clinical outcomes and quality of life measures. The results could indicate that integrating diverse data sets through ML would significantly improve the diagnostic accuracy and serve as a support for clinician’s decision making. Our models achieved high accuracy in classifying MS types and predicting disability levels, demonstrating the potential of ML in personalized treatment planning. Furthermore, our findings suggest notable gender differences in disease progression and response to treatment. These insights advocate for a gender-specific approach in MS management and highlight the importance of personalized medicine. This study underscores the transformative potential of ML in enhancing the understanding and management of MS through integrated data analysis.