bluuebunny/crossref_metadata_2025 huggingface dataset:
Neuro-Adaptive AI for Dynamic Distraction Mitigation in Autonomous Vehicle Environments
Authors: Ghulaxe Vivek
Published: October 2024

As autonomous vehicles develop, driver distraction becomes even more crucial as it affects both safety and operational efficiency. In this work, we investigate the gamut of new AI tools for combating and processing visual distraction scenarios within autonomous vehicles. This includes AI-based driver monitoring systems to determine the level of attention, visual distraction classification with deep learning models, augmented reality head-up displays for focal projection of critical information and gesture/voice-controlled interfaces are used in order to reduce visual interactions. This also includes how predictive analytics; adaptive user interfaces and personalized distraction mitigation programs will see AI improve driver focus and thus safety. These advanced systems are designed to provide a safer and more efficient driving experience in the emerging era of autonomous capabilities by leveraging the scalability of advanced driver-assistance technologies.
Differentiation of Educational Content Through Artificial Intelligence Systems in Inclusive Education
Authors: Damyanov Kaloyan
Published: October 2024

The integration of artificial intelligence (AI) systems into education offers transformative potential for personalized learning, particularly within inclusive education frameworks. This research examines the utilization of artificial intelligence (AI) for the differentiation of educational content to cater to the diverse needs of students. By examining current AI applications and their associated benefits and challenges, this study proposes a framework for the ethical and effective use of AI in inclusive educational settings.
Effective Teaching for Classroom Management Workshop: The Ghanaian Teachers’ Perspectives and Evaluation
Authors: Ashiboe-Mensah Kofi
Published: October 2024

The paper is about teachers’ reflection on and evaluation of continuous professional training and development. It is a qualitative survey, grounded in narrative inquiry framework of educational research with the assumptions that humans are social storytelling organisms. With a convenient sampling technique, 619 responses were received from 778 participants. Adopting a participant-centred mode of teaching, participants evaluated the workshop in their own words. With a human cognition of thinking, learning, and understanding, comments were classified into Bloom’s (1956) three learning domains of cognitive, affective, and skills combined with Perry & Booth’s (2021) concept of evaluating facilitators and workshop organizations and Kirkpatrick’s (1998) four levels of evaluation. Participants insisted that this workshop be extended to other schools to build the required foundation for students. They mentioned also that their exposures to contemporary instructional strategies meet the globally acceptable standards and are challenged as 21st century teachers. Participants maintained that they would go back to the classroom with different mind-sets to include learners during lesson planning.
Application of Printed Teaching Materials in Digital Form
Authors: hrkotáčová Natalia , kičková Adriana
Published: October 2024

The study focuses on the identification of criteria, limits for the transformation and usability of printed teaching texts and materials in their digital form in the educational process. Based on the identified criteria, the goal is to upgrade the form of printed teaching texts, in accordance with the needs of education in the 21st century, into a digital form. In order to increase the level of competence of teacher students in the field of handling ICT, for their future practice, it is important to appeal to the necessity of integrating ICT into teaching. The output of the study is a concrete demonstration of the transformation of print content into digital form and the presentation of data of a group of students educated in the field of handling digital means and platforms, during their undergraduate training, in a specific subject.
Discovering Joan Miró Through Artificial Intelligence: an Educational Scenario for Preschool Education
Authors: Katsouda Asimina
Published: October 2024

This article presents an educational scenario designed for kindergarten students, aligned with the curriculum for Preschool Education in Greece, specifically within the thematic field of arts. The primary goal of this scenario is to introduce students to the artistic work of Joan Miró while incorporating Artificial Intelligence (AI) tools into the learning and information search process. The teaching methodology combines exploratory and experiential learning. In this scenario, ChatGPT-4ο is used collaboratively with students to explore new knowledge. Additionally, other AI tools, including Lumen5, Suno, Leonardo.Ai, DALL-E, and ElevenLabs, were employed to create educational materials. This educational scenario aims to enhance children's active participation and interest, helping them acquire new knowledge about Miró and develop skills and positive attitudes towards the artist's work and the use of AI tools in the learning process.
Improvement of Lossless Text Compression Methods using a Hybrid Method by the Integration of RLE, LZW and Huffman Coding Algorithms
Authors: Abdulmonim Dhafer Abdulameer , Muhamad Zainab Hassan
Published: October 2024

In the field of computer science, data compression is essential in the process of data transfer because it reduces file size without losing information. Issues that depend on the characteristics of the text can greatly affect the effectiveness of any compression algorithm. Consequently, each traditional compression algorithm has its own strengths and limitations. Therefore, a highly efficient compression method that achieves higher compression ratio is needed. In this paper, based on the sequential implementation of Huffman, RLE and LZW algorithms, a hybrid data compression method has been proposed. The algorithms have been individually evaluated and compared in terms of compression ratio and compressed file size. We conclude that in terms of compression ratio and compressed file size, LZW is better than Huffman and RLE. The results show that the proposed hybrid algorithm achieves the highest average compression ratio is 2.42 and the lowest average compressed file size is 1138.5 or less compared to the individual implementations of the algorithms. Thus, it can be concluded that the proposed hybrid method enhances lossless text compression in terms of compression ratio and file size according to compression metrics.
From Small Plot to Abundant Harvest: A Potato Farming Success Story
Authors:   Department	of	Agronomy,	College	of	Agriculture,	Gwalior,	India, Singh Dheerendra , Sharma Janmejay
Published: October 2024

Research by Dheerendra Singh a PhD Student with his mentor Prof. Dr. Janmejay Sharma from Department of Agronomy, College of Agriculture, Gwalior, India. The study conducted at the Research Farm of ICAR-Central Potato Research Institute in Gwalior aimed to investigate the impact of planting dates on the performance of potato crops, focusing on the Rabi seasons of 2021-22 and 2022-23. The experiment encompassed seven distinct planting dates, from September 15 to December 14, and utilized a randomized block design with four replications. The chosen potato variety was Kufri Mohan, planted at a seed rate of 3.5 t ha-1 and spaced at 60 cm x 20 cm. The recommended dose of chemical fertilizers (180:80:120 kg ha-1 N: P2O5:K2O) was applied. Various growth and yield attributes, nutrient content and uptake, storage behavior, quality parameters, and economic aspects were monitored to assess the performance of the potato crop. The results indicated that, among the different planting dates considered, planting on October 30 emerged as the most economically viable option to achieve optimum yields for the Kufri Mohan variety. Furthermore, planting the Kufri Mohan variety between October 15 and November 14 was recommended for better yields and minimal storage losses. These findings contribute valuable insights into the influence of planting dates on potato crop performance, providing practical recommendations for farmers to optimize yields and economic returns. The study underscores the importance of considering climatic factors and appropriate planting schedules to enhance potato cultivation's productivity and overall success in the region.
Solid Waste Issues: Generation Composition and Disposal of Municipal Solid Waste in District REWA Madhya Pradesh of India
Authors: Ganaie Rayees Ahmad , Ansari Shama , Ganie Sartaj A
Published: October 2024

Solid waste disposal is a significant and pervasive issue in many industrialized and developing nations, including India, in both urban and rural areas. The collection and disposal of municipal solid waste (MSW) is one of the main issues facing the urban environment in the majority of the world’s countries today. Solutions for MSW management need to be technically sound, socially and legally acceptable, environmentally benign, and financially viable. The largest problem facing the authorities of both large and small cities is solid waste management. Conventional landfills, incinerators, composting, and methods of managing solid wastes are typical examples of established technology for disposing of garbage. Anaerobic digestion (AD) and composting have historically been the most widely utilized procedures for the treatment and valuation of the organic part of MSW. The amount of organic solid waste (OSW) produced annually is rising sharply on a global scale. Agricultural waste, home food waste, human and animal wastes, etc. make up the majority of OSWs. Usually, they are burned, disposed of in landfills, or used as animal feed. Rich in proteins, minerals, and carbohydrates, OAWs can be utilized as raw materials or substrates in several processes. There are negative effects on the environment, the economy, and social life as a result of the high rates of organic waste generation and their open disposal in landfills. One of the greener methods for keeping organic contaminants out of landfills is composting. As to the latest statistics of CPCB, India generated approximately 160.03 tons of municipal garbage per day. Rewa district of Madhya Pradesh along with 27 other ULBs generate an average MSW of 340 TPD.
Ethnobotanical Survey of Medicinal Plants Used in Traditional Medicine in Africa
Authors:   Department	of	Agricultural	Extension	Education,	College	of	Agriculture,	Indore	under	Rajmata	Vijayaraje	Scindia	Krishi	Vishwa	 Vidhyalaya	(RVSKVV),	Gwalior,	India., Nargawe Lalita , Malathi G. , C. S Vidhya , Upadhyay Lalit ,   Horticultural	Research	Station,	Yercaud,	Salem,	Tamil	Nadu,	India,   Department	of	Primary	Processing	Storage	and	Handling,	NIFTEM-Thanjavur,	Thanjavur-613005,	Tamil	Nadu,	India,   Sher-e-Kashmir	University	of	Agricultural	Sciences	and	Technology	of	Jammu-Jammu	and	Kashmir,	India.
Published: October 2024

Traditional medicine plays a vital role in healthcare delivery across Africa, where access to modern healthcare facilities may be limited. This review article provides a comprehensive ethnobotanical survey of medicinal plants used in traditional African medicine. Drawing upon a wide range of scholarly sources, ethnographic studies, and indigenous knowledge systems, the review explores the rich diversity of medicinal plants utilized by traditional healers and community members for the prevention and treatment of various ailments. The article examines the botanical diversity, therapeutic properties, preparation methods, and cultural significance of commonly used medicinal plants across different regions of Africa. Additionally, the review discusses the importance of preserving traditional knowledge, sustainable harvesting practices, and the integration of traditional medicine into modern healthcare systems. By documenting and promoting the use of medicinal plants in traditional African medicine, this review contributes to the conservation of biodiversity, preservation of cultural heritage, and enhancement of healthcare accessibility and affordability for diverse populations in Africa.
Dust aerosol from the Aralkum Desert influences the radiation budget and atmospheric dynamics of Central Asia
Authors: Banks Jamie R. , Heinold Bernd , Schepanski Kerstin
Published: October 2024

Abstract. The Aralkum is a new desert created by the desiccation of the Aral Sea and is an efficient source of dust aerosol which perturbs the regional Central Asian radiation balance. COSMO–MUSCAT model simulations are used to quantify the direct radiative effects (DREs) of Aralkum dust, and investigate the associated perturbations to the atmospheric environment. Considering scenarios of “Past” (end of 20th century) and “Present” (beginning of 21st century) defined by differences in surface water coverage, it is found that in the Present scenario the simulated yearly mean net surface DRE across the Aralkum is −1.34 W m−2 with a standard deviation (±) of 6.19 W m−2, of which −0.15 ± 1.19 W m−2 comes from dust emitted by the Aralkum. In the atmosphere the yearly mean DRE is −0.62 ± 2.91 W m−2, of which −0.05 ± 0.51 W m−2 is from Aralkum dust: on the yearly timescale, Aralkum dust is cooling both at the surface and in the atmosphere, due to its optically scattering properties. The daytime surface cooling effect (solar zenith angle ≲ 70–80°) outweighs the nighttime heating effect and the atmospheric daytime (solar zenith angle ≲ 60–70°) heating and nighttime cooling effects. Instantaneous Aralkum dust DREs contribute up to −116 W m−2 of surface cooling and +54 W m−2 of atmospheric heating. Aralkum dust perturbs the surface pressure in the vicinity of the Aralkum by up to +0.76 Pa on the monthly timescale, implying a strengthening of the Siberian High in winter and a weakening of the Central Asian heat low in summer. These results highlight the impacts of anthropogenic lakebed dust on regional atmospheric environments.
The Paris low-level jet during PANAME 2022 and its impact on the summertime urban heat island
Authors: Céspedes Jonnathan , Kotthaus Simone , Preissler Jana , Toupoint Clément , Thobois Ludovic , Drouin Marc-Antoine , Dupont Jean-Charles , Faucheux Aurélien , Haeffelin Martial
Published: October 2024

Abstract. The low-level jet (LLJ) and the urban heat island (UHI) are common nocturnal phenomena. While the UHI has been studied extensively, interactions of the LLJ and the urban atmosphere in general (and the UHI in particular) have received less attention. In the framework of the PANAME (PAris region urbaN Atmospheric observations and models for Multidisciplinary rEsearch) initiative in the Paris region, continuous profiles of horizontal wind speed and vertical velocity were recorded with two Doppler wind lidars (DWLs) – for the first time allowing for a detailed investigation of the summertime LLJ characteristics in the region. Jets are detected for 70 % of the examined nights, often simultaneously at an urban and a suburban site, highlighting the LLJ regional spatial extent. Emerging at around sunset, the mean LLJ duration is ∼ 10 h, the mean wind speed is 9 m s−1, and the average core height is 400 m above the city. The temporal evolution of many events shows signatures that indicate that the inertial oscillation mechanism plays a role in the jet development: a clockwise veering of the wind direction and a rapid acceleration followed by a slower deceleration. The horizontal wind shear below the LLJ core induces variance in the vertical velocity (σw2) above the urban canopy layer. It is shown that σw2 is a powerful predictor for regional contrast in air temperature, as the UHI intensity decreases exponentially with increasing σw2 and strong UHI values only occur when σw2 is very weak. This study demonstrates how DWL observations in cities provide valuable insights into near-surface processes relevant to human and environmental health.
Thermal diffusivity of permafrost in the Swiss Alps determined from borehole temperature data
Authors: Weber Samuel , Cicoira Alessandro
Published: October 2024

Abstract. Mountain permafrost is warming and thawing globally due to climate change. Its mechanical properties largely depend on ground temperature, whereby the primary process of heat transfer in frozen ground is heat conduction. Thermal diffusivity quantifies the rate of heat propagation in a material and is thereby a key thermal property, but no empirical values for mountain permafrost substrates are currently available. In this study, we derive the thermal diffusivity of different mountain permafrost landforms and substrates in the Swiss Alps empirically for the first time. To do so, we perform a linear regression analysis of the heat diffusion equation and validate the derived thermal diffusivity with inversions of numerical and analytical solutions. As a data basis, we systematically analyze data from the 29 temperature boreholes of the Swiss Permafrost Monitoring Network PERMOS, which allows us to investigate the natural variability of thermal diffusivity in space and time and derive a well-constrained range of thermal diffusivity in mountain permafrost (25- to 75-percentile range: 1.1–3.3 mm2 s-1) and the overlying active layer (25- to 75-percentile range: 0.8–2.4 mm2 s-1). While we find only small but significant (p<0.01) differences in diffusivity between the landforms for all three approaches, strong spatio-temporal variations are identified. Our results complement our understanding of the thermal properties of permafrost and thus directly offer potential implications for the development and application of new ground temperature and energy-balance models. Furthermore, we discuss the potential to indirectly identify short-term non-conductive heat fluxes by isolating discrepancies between observations and model predictions of temperature rate variations with time. The quantification of non-conductive heat fluxes is still poorly constrained due to their strongly non-linear nature and the inherent challenges in their measurement. Non-conductive heat fluxes point to the presence of water and/or air circulation in the permafrost. Water can significantly influence the mechanical properties of permafrost substrates. The dynamics of unstable slopes are increasingly being driven by water infiltration related to ice loss within the permafrost. Therefore, our method and results open new possibilities in permafrost science, hydrogeology, natural hazard studies, and practical applications such as high-mountain construction technology.
Molecular characterization of organic aerosols in urban and forested areas of Paris using high resolution mass spectrometry
Authors: Pereira Diana L. , Giorio Chiara , Gratien Aline , Zherebker Alexander , Noyalet Gael , Chevaillier Servanne , Alage Stéphanie , Almarj Elie , Bergé Antonin , Bertin Thomas , Cazaunau Mathieu , Coll Patrice , Di Antonio Ludovico , Harb Sergio , Heuser Johannes , Gaimoz Cécile , Guillemant Oscar , Language Brigitte , Lauret Olivier , Macias Camilo , Maisonneuve Franck , Picquet-Varrault Bénédicte , Torres Raquel , Triquet Sylvain , Zapf Pascal , Hawkins Lelia , Pronovost Drew , Riley Sydney , Flaud Pierre-Marie , Perraudin Emilie , Pouyes Pauline , Villenave Eric , Albinet Alexandre , Favez Olivier , Aujay-Plouzeau Robin , Michoud Vincent , Cantrell Christopher , Cirtog Manuela , Di Biagio Claudia , Doussin Jean-François , Formenti Paola
Published: October 2024

Abstract. In order to study aerosols in environment influenced by anthropogenic and biogenic emissions to variable extents, PM1 samples were collected during the summer 2022 in the greater Paris area (ACROSS campaign, Atmospheric Chemistry Of the Suburban Forest, June 14 to July 25) at two locations that represent the urban Paris and the suburban forested area. They were analyzed using high resolution mass spectrometry (HRMS) together with total carbon (TC) by a thermo-optical method. Both sites are compared here to explore differences in aerosol composition from urban and forested environments. The TC analysis shows similar organic carbon (OC) concentrations at both sites (3.2 ± 1.8 µg m-3 for Paris and 2.9 ± 1.5 µg m-3 for Rambouillet), and higher elemental carbon (EC) values in the urban area. Both OC and EC concentrations did not show significant variations for daytime and nighttime conditions. This work highlights the influence of anthropogenic inputs into the chemical composition of urban and forested areas, derived into the presence of CHO and CHON compounds but also the detection of two sulfur-containing compounds (C5H12SO7 and C10H17NSO7), which could be tentatively assigned as organosulfates. A smaller number of aromatic compounds were observed for clean periods, that better represent the local biogenic and anthropogenic contributions in Rambouillet and Paris, respectively.
Imported arboviral disease cases and entomological surveillance of Aedes albopictus in Valencian Autonomous Region (Spain) along 2022
Authors: López-Peña D. , Lis-Cantín Á. , Gimeno-Alpuente A. , Falcó-Garí J.V.
Published: October 2024

The Laboratory of Entomology and Pest Control (LEPC) of the University of Valencia, hired by the regional government of the Generalitat Valenciana, carried out the entomological surveillance of the Asian tiger mosquito along 2022 in the Valencian Autonomous Region, excepting the city of Valencia for which the surveillance was conducted by a private pest control company. The main purpose of this plan of action was both to continue the detection and monitoring of Aedes albopictus in the Valencian municipalities free of its presence until the end of 2021, and to carry out the entomological surveys related to imported arbovirus cases notified by the Regional Health System. The active search and detection of the mosquito breeding sites in both urban and peri-urban environments throughout the provinces of Alicante, Castellón and Valencia, has revealed the absence of new populations of this allochthonous mosquito in all those municipalities free of this species in December of 2021. Besides, the LEPC has conducted the mosquito surveys in 31 municipalities of the three provinces, in relation to the declaration of 33 cases of arthropod-borne diseases due to Chikungunya, dengue or Zika viruses, which were reported in travellers returning from countries of Latin America, Asia, or West Africa. The methods used to minimise the risk of local transmission of these viruses by Ae. albopictus were focused on detecting the presence of the tiger mosquito and other common native mosquito populations, at both adult and larval stages, in the surroundings of the residence of imported cases to guide the treatments of the detected resting and breeding sites. As result, tiger mosquito populations were recorded in 18 of the 33 municipalities where imported arbovirus cases were reported in 2022.
Augmented Fabrication: An Australian Industry 4.0 Augmented Reality (AR) Framework
Authors:   , Franze Anthony
Published: October 2024

This research project establishes a practice-informed augmented reality (AR) framework designed to enhance Australian SMEs' custom fabrication workflows. Underpinned by a Research-through-Design methodology, the project develops novel situated augmented fabrication scenarios (SAFS) methods in collaboration with Queensland-based custom fabrication experts and manufacturing SMEs. Through thematic and reflective analysis of interviews and co-design workshops, the study holistically integrates insights to produce an AR framework that supports the Australian manufacturing sector's adoption and implementation of Industry 4.0 technologies and contributes to custom fabrication SMEs' readiness for a more human-centric Industry 5.0 by promoting workforce transformation and sector resilience.
Creating Conversations: Investigating Interaction Design to Prompt Conversations about Australian Aged Care
Authors:   , Shah Niharika
Published: October 2024

"Creating Conversations" is an interactive augmented reality (AR) art experience designed to prompt public discussion about the Australian aged care system. A recent Royal Commission into Aged Care Quality and Safety has revealed critical, systemic problems in the Australian aged care system – including substandard care, patient neglect, and funding issues. This thesis describes the creation of a novel AR artwork designed to relay complex data from government reports in a more accessible and relatable way. The objectives are to engage audiences, sustain their attention, and offer an experience that fosters ongoing connections beyond the interaction.
Measuring and Fostering Social-Emotional Competencies in Middle Childhood: An Australian Population Cohort Study
Authors:   , Carpendale Emma J.
Published: October 2024

This thesis contributes evidence to inform the provision of social-emotional learning programs within Australian schools. This research program developed a self-report measure of social-emotional competencies in middle childhood (age 11-12 years); evidenced the association between students’ social-emotional competencies and their academic achievement; and, found that delivery of evidence-based social-emotional learning programs was associated with enhanced social-emotional skills among students. Using data from the longitudinal, population-level New South Wales Child Development Study, this research endorses the formal teaching of social-emotional competencies in Australian schools and delivers timely policy-relevant evidence to optimise the provision of whole-school social-emotional learning.
Bioprospecting, and Characterisation of plastic and plasticiser degrading enzymes from Great Australian Artesian Basin thermophiles for biorecycling and bioremediation
Authors:   , Mu Brandon
Published: October 2024

Plastics are an invaluable material in our current societies and will be used indefinitely in our societies. However, there are concerns in both the sustainable use of plastics and its pollution into the environment which impacts our resource management and health, respectively. Existing strategies are ineffective at recycling plastics and remediating them out of polluted environments. Therefore, it is imperative that discover and develop technologies to solve these issues. This work demonstrates Great Australian Artesian Basin microbes have enzymes with potential biotechnological applications in enzymatic biorecycling and enzymatic bioremediation of plastics or plasticisers.
Development of Novel Liquid Metal Catalysts for Carbon Dioxide Reduction to Carbonaceous Products
Authors:   , Babikir Abd Alwadood
Published: October 2024

The increasing rate of carbon dioxide emissions from industrial sources contribute to global warming and other environmental issues. Several processes have been developed to minimize CO2 emissions. Conventional thermal energy-powered CO2 reduction processes suffer from high energy consumption compared to renewable energy-driven processes. Combining a liquid metal-based catalyst with a renewable energy-based processes can achieve CO2 reduction at lower energy. In this thesis, CO2 reduction into valuable carbonaceous products using gallium-based catalysts was achieved via several processes including plasma to produce solid carbon. Higher value products were obtained via sonochemical and electrochemical processes including acetamide and oxygenates.
La creación de trabajos académicos universitarios por medio de ChatGPT observando la regla de los tres pasos de la propiedad intelec
Authors: Guzmán Tello Ana Cynthia
Published: October 2024

La cuarta revolución industrial trajo varios cambios en la vida de las personas, sobre todo con relación a la evolución de las tecnologías de información y comunicación (TIC's), generando así, la sociedad móvil, que se caracteriza por la portabilidad de la información de las personas a través de dispositivos electrónicos. Por tal motivo, la educación también evolucionó en la forma de impartición de clases y en las herramientas que se utilizan para la realización de trabajos académicos, siendo una de estas herramientas el ChatGPT que funciona por medio de la inteligencia artifical, a través del chatbot, se hacen preguntas para genberar diferentes trabajos académicos, a primera vista, se podría decir que esta actividad no es compatible con la propiedad intelectual. Sin embargo, el Convenio de Berna para la Protección de las Obras Literarias y Artísticas de 1886, demuestra que esto no es así, en dicho convenio se establecen límites a los derechos patrimoniales de los creadores de obras literarias, a estos límites se les denomina la regla de los 3 pasos, en donde se menciona que, en casos especiales, se limitan los derechos patrimoniales. Y un caso especial es la educación.
El uso de la IA como herramienta para la investigación académica: políticas editoriales y condicionantes éticos en el camino hacia su normalización
Authors: Cámara Molina José Carlos
Published: October 2024

En pocos años, la inteligencia artifical (en adelante IA) ha experimentado un salto cualitativo como tecnología al alcance de todas las personas, con un potencial ilimitado para incrementar la productividad. Debido a su rápida expansión, hoy día puede considerarse una herramienta habitual en multitud de actividades, incluyendo el entorno académico, tanto en su vertiente de enseñanza como en la investigación, y así debe entenderse por su condición de software de código abierto. Sin embargo, conviene identificar y tener presentes los riesgos derivados de su uso para evitar que se materialicen. Del estudio de las normas de publicación de 32 editoriales reunidas en torno a STM Integrity Hub, la comisión de integridad de STM, se desprende un reconocimiento de las posibilidades que ofrece la IA en la elaboración de artículos científicos, siempre que se emplee como herramienta, no como coautora, y reclaman un uso responsable, bajo criterios éticos. Por fin, se compendian algunas buenas prácticas para el correcto uso de IA en la literatura académica. Estas normas evolucionarán, previsiblemente, a medida que avance el conocimiento y la experiencia empírica en la materia. Se concluye que la cooperación entre las editoriales académicas, en busca de criterios universalizables, resulta esencial para evitar riesgos.
La autoría en creaciones generadas por Inteligencia Artificial
Authors: Valdezate Pelegrín Pablo
Published: October 2024

El presente artículo aborda un tema de creciente importancia en el contexto actual: la regulación de las Inteligencias Artificiales (IA) en cuanto a la atribución de la autoría de obras generadas por IA, un tema de relevancia legal y ética. Aunque la falta de regulación específica plantea desafíos, se infiere que las obras de IA pueden ser consideradas como "obras" debido a sus atributos de creatividad e innovación. Sin embargo, surgirían complicaciones legales al contrastarlas con las obras humanas, dado que las IA carecen de conciencia y emociones como las personas. Se destaca la importancia de la intervención humana en el proceso creativo de la IA, y finalmente, se propone diferenciar la autoría de la titularidad de los derechos como una posible solución, adaptando el Derecho a la era de la IA para equilibrar la protección de la innovación con la preservación de los derechos de autor en la creación artística.
A utilização da plataforma Khan Academy como instrumento de ensino-aprendizagem: uma revisão de literatura
Authors: Brito Cristina Leite de , Cidrim Luciana , Caiado Roberta Varginha Ramos , Madeiro Francisco
Published: October 2024

Com os avanços tecnológicos, as pesquisas na área da Educação vêm investigando ferramentas de ensino baseadas em tecnologias que promovam melhores resultados no processo de ensino-aprendizagem. O objetivo deste trabalho é apresentar uma revisão de artigos científicos publicados em periódicos internacionais e nacionais que abordam o uso da plataforma Khan Academy (KA) no ambiente educacional. Foram selecionados 27 artigos científicos publicados no período de 2019 a 2024, a partir da consulta das seguintes bases eletrônicas de dados: Science Direct/Elsevier, Institute of Electrical and Electronic Engineers (IEEE Xplore) e Portal de Periódicos da CAPES. Neste estudo, em geral, predominam artigos sobre a utilização da KA para apoiar o ensino de disciplinas na área das Ciências Exatas, mais especificamente, em Matemática, Cálculo, Álgebra, Geometria e Estatística. Em meio à escassez de pesquisas sobre a aplicação da KA em outras áreas, como em Língua Portuguesa, constata-se uma oportunidade e a necessidade de pesquisas que contemplem outras áreas, tendo em vista os benefícios da KA apontados nos artigos desta revisão. A análise da utilização da plataforma KA como ferramenta de aprendizagem revelou resultados significativos que podem fomentar práticas inovadoras, contribuindo para a melhoria do processo ensino-aprendizagem.
Políticas públicas para educação física no novo ensino médio: perspectivas a partir do estado do conhecimento
Authors: Silva Teresinha Chaves de Souza da , Lima Lucia Ceccato de
Published: October 2024

Este estudo teve como objetivo investigar dissertações e teses sobre políticas públicas para o componente curricular de Educação Física no Novo Ensino Médio (NEM), utilizando a metodologia bibliográfica do Estado do Conhecimento (EC). A pesquisa foi realizada no primeiro semestre de 2024, com buscas no Catálogo de Teses e Dissertações (BTD) da Coordenaçãode Aperfeiçoamento de Pessoal de Nível Superior (CAPES), utilizando os descritores: “Educação Física Escolar AND Novo Ensino Médio”, “Educação Física no Novo Ensino Médio AND Políticas Públicas” e “Educação Física Escolar AND Currículo para o Novo Ensino Médio”. Após a aplicação de critérios de inclusão, exclusão e filtros, foram selecionadas nove dissertações e uma tese defendidas no Brasil entre 2020 e 2023. Para análise, as produções foram organizadas em três categorias: “Políticas Públicas para Educação Física no NEM”, “Currículo para Educação Física no NEM” e “Práticas Pedagógicas Inovadoras em Educação Física no NEM”. Os resultados indicam que a reforma do EM, orientada por interesses privatistas, compromete o direito à educação básica, conformando os estudantes às demandas produtivas do capitalismo. Ressaltou-se a urgência de práticas pedagógicas emancipadoras na Educação Física. Quanto ao currículo para o NEM, evidenciou-se a necessidade da participação crítica dos professores de Educação Física. Embora os Itinerários Formativos tenham gerado dúvidas, destacou-se a conexão com as ciências sociais para práticas inovadoras. Contudo, materiais didáticos rígidos e infraestrutura precária limitaram avanços pedagógicos. A adoção de abordagens pedagógicas inovadoras nas aulas de Educação Física no EM mostrou-se eficaz ao motivar os estudantes a superarem desafios, adquirirem novos conhecimentos e promoverem hábitos saudáveis.
Adaptações curriculares e desenho universal para a aprendizagem: caminhos e possibilidades para a educação inclusiva
Authors: Andrzejevski Eliane , Graupe Mareli Eliane , Inácio Higo
Published: October 2024

O objetivo do presente artigo é analisar as contribuições das adaptações curriculares e do desenho universal para a aprendizagem no contexto da educação inclusiva. Para tanto, o referencial teórico abarca autores(as) como: Aranha (2000a; 2000b; 2003), Mantoan (2015), Sebastián-Heredero (2020), Pletsch; Souza (2021), entre outros. Quanto aos procedimentos metodológicos, optamos pela pesquisa de natureza qualitativa, sendo desenvolvida por meio da pesquisa bibliográfica exploratória e documental. Os dados da pesquisa apontam que, nos processos de ensino e de aprendizagem escolar, as adaptações curriculares são necessárias, considerando as especificidades de cada deficiência, tais como, a língua de sinais para estudantes surdos, a ampliação das letras para o estudante com baixa visão, materiais em braile para o estudante cego, entre outras. Além disso, destacamos também a necessidade do Desenho Universal para a Aprendizagem, que se constitui como uma ferramenta pedagógica fundamental para a acessibilidade atitudinal, urbanística, arquitetônica, de transporte, metodológica, instrumental, tecnológica, comunicacional e informacional a todas as pessoas no ambiente escolar, bem como em outros espaços sociais, para que possam usufruir dos bens e serviços com equidade e exercer a sua cidadania.
High-Temperature Electrolysis with Superheated Steam Provided by Volumetric-Type Steam Generator
Authors: Zhang Qiangqiang , Wang Hongjun , Li Xin
Published: October 2024

High-temperature steam is essential for operating solid oxide electrolysis cells (SOEC). This paper demonstrated a new type of high-temperature solar steam generator that uses ceramic foam as a porous absorber. Water is sprayed into the porous absorber as microdroplets by using a nozzle. Experiments show that the solar steam generator is capable of generating superheated steam beyond 800 oC. The peak thermal efficiency in the steady state can reach 60.92% under a mass flow rate of 2.359 kg/h corresponding to an outlet temperature of 877.3 oC. The superheated steam will be supplied to a SOEC system to generate hydrogen. Thus, a comprehensive model is developed in this paper to research the performance of the solar SOEC system under fluctuated solar irradiation
Developing Deformable Facets for Heliostats: An Increased Solar Concentration for Thermochemical Applications with Central Tower Receivers
Authors: González-López Juan Pablo , Pérez-Enciso Ricardo A , Sosa-Flores Pablo , A Estrada Claudio
Published: October 2024

In the present article a new design of a deformable facet and a heliostat with several deformable facets is presented. Previous work has been made around designing heliostats with concentrating facets in the facilities of the Plataforma Solar de Hermosillo. The evaluation and design process of facets and their evolution is also shown and reviewed. The facet design was initially conceived as a parabolic trough surface, however, through a modification of the facet, the surface was transformed into a concave surface. The resulting spot produced by the facet assumes nearly a spherical surface. A heliostat constructed with these facets shows similar optical performance with a previous one made with spherical facets; this spherical heliostat has a higher peak and mean flux. Nevertheless, the deformable facet heliostat presents a simpler construction and structure. A comparison between both heliostats will be presented.
The Simulator of China General Nuclear Power Group (CGNPC) Delingha 50 MW Parabolic Trough Solar Thermal Power Plant
Authors: Si Lengge , Xu Ershu , Hou Hongjuan
Published: October 2024

CGN Delingha 50MW parabolic trough solar power plant is China's first commercial trough solar power station. There are 190 heat collecting loops in the solar field of the power plant. Due to the mutual coupling of heat collecting loops layout location, environmental conditions, medium flow, working medium physical property changes and other factors, the hydrodynamic characteristics of the solar field are complex. In practical operation, balancing the flow of the heat absorbing medium in each loop of the large-scale trough solar thermal power plant and stabilizing the outlet medium temperature are difficult problems. Taking CGN Delingha 50MW parabolic trough solar power plant as the research object, this paper adopts the idea of modular modeling to establish the mathematical model of the main equipment in different systems of the power plant, to build the dynamic model of its solar field, steam generation system, heat storage system and steam turbine system. Based on the parallel computing function of the real-time dynamic simulation platform STAR-90, the real-time coupling calculation between different systems is realized. The error of the built model in steady-state is less than 2%, and the dynamic results of the model are in good agreement with the actual operation data. The modeling method in this paper is universal and can be a reference for dynamic modeling of other large-scale trough solar thermal power plants.
Model Predictive Control and Service Life Monitoring for Molten Salt Solar Power Towers
Authors: Grote-Ramm Wolfgang , Schönig Felix , Schwarzbözl Peter , Drexelius Maximilian , Maldonado Quinto Daniel , Binder Matthias
Published: October 2024

A two-component system for control and monitoring of solar power towers with molten salt receivers is proposed. The control component consists of a model predictive control application (MPC) with a flexible objective function and on-line tunable weights, which runs on a Industrial PC and uses a reduced order dynamic model of the receiver’s thermal and flow dynamics. The second component consists of a service-life monitoring unit, which estimates the service-life consumption of the absorber tubes depending on the current mode of operation based on thermal stresses and creep fatigue in the high temperature regime. The calculation of stresses is done based on a detailed finite element study, in which a digital twin of the receiver was developed. By parallelising the model solver, the estimation of service-life consumption became capable of real-time operation. The system has been implemented at a test facility in Jülich, Germany, and awaits field experiments. In this paper, the modeling and architecture are presented along simulation results, which were validated on a hardware-in-the-loop test bench. The MPC showed good disturbance rejection while respecting process variable constraints during the simulation studies.
Analysis of CSP/PV Hybrid Power Plants in High Latitude Regions
Authors: López-Álvarez José A. , Larrañeta Miguel , Pérez-Aparicio Elena , Moreno-Tejera Sara , Silva-Pérez Manuel A. , Lillo-Bravo Isidoro
Published: October 2024

This study aims to explore the potential of combined CSP and PV systems in high latitude areas. Several performance metrics are evaluated and compared with standalone CSP or PV plants to identify the benefits and challenges of deploying such hybrid plants. Six different sites have been selected and the ASDELSOL hybrid power plant simulation tool, developed by the Thermodynamics and Renewable Energies Group at the University of Seville, has been used. This simulation tool allows performing dynamic performance simulations of hybrid solar plants under various operation strategies, along with conducting economic evaluations. We have analyzed a hybrid solar plant composed of 50 MW PTC and 75 MW PV, with 10 hours of TES and a 15 MW electric heater to transfer excess PV energy to the TES tanks in a 50 MW base load operation strategy, where the main objective of the PV plant is to cover the self-consumption of the PTC plant. Results obtained show that PV/PTC hybridization reduces LCOE and increases CF compared to standalone PV or PTC plants. These improvements are more pronounced in regions where the contribution of PTC plants is lower. In high latitude regions, an N-S orientation of PTC fields achieves higher production than an E-W orientation. However, a combination of both orientations can optimize their production and performance. Finally, it is concluded that it is necessary to carry out feasibility studies in high latitude locations before dismissing them outright, as it has been observed that, in certain regions, hybrid PV/PTC solar plants can offer an effective alternative.
Development of a DNI Forecast Tool Based on Machine Learning for the Smart Operation of a Parabolic Trough Collector System with Thermal Energy Storage
Authors: Sattler Johannes Christoph , Dutta Siddharth , Alexopoulos Spiros , Kawam Adnan , Teixeira Boura Cristiano , Herrmann Ulf , Kioutsioukis Ioannis
Published: October 2024

In the research project Smart Solar System (S3), the Solar-Institut Jülich (SIJ) developed forecast tools to predict the direct normal irradiance (DNI) in hourly resolution for the current day. The aim of the daily DNI forecast is to use it as input to enable a smart operation of a parabolic trough collector (PTC) system with a concrete thermal energy storage (C-TES) located at the company KEAN Soft Drinks Ltd in Limassol, Cyprus. The main focus in this work is on the development of a DNI forecast tool based on long short-term memory (LSTM), which is a recurrent neural network (RNN), and its comparison with a DNI forecast tool based on analytical algorithms (non-machine learning). Only the non-machine learning DNI forecast tool with hourly update was tested in real-life PTC plant operation since end of 2022. The comparisons between the three DNI forecast tools show that the potential of using machine learning is very high. Different comparisons were made including an evaluation of the accuracy of the tool (i.e. comparison of the DNI forecast data with DNI measurement data). The DNI forecast based on the LSTM network proved to be more accurate than the non-machine learning DNI forecasts when considering errors greater than ±100 W/m2. The error of the LSTM network compared to DNI measurement data was as follows:  43.6 % of the data was within ±100 W/m2, 74.8 % was within ±200 W/m2, 89.8 % was within ±300 W/m2 and 95.8 % was within ±400 W/m2.
Porous Monolithic Perovskite Structures for High-Temperature Thermochemical Heat Storage in Concentrated Solar Power (CSP) Plants and Renewable Electrification of Industrial Processes
Authors: Agrafiotis Christos , Pein Mathias , Eltayeb Asmaa , Klaas Lena , De Oliveira Lamark , K. Singh Abhishek , Roeb Martin , Sattler Christian
Published: October 2024

A novel approach towards thermal energy storage of surplus renewable energy (RE) is introduced via a hybrid thermochemical/sensible heat storage concept implemented with the aid of porous structures made of redox metal oxides, capable of reversible reduction/oxidation upon heating/cooling in direct contact with air, accompanied, respectively, by endothermic/ exothermic heat effects and demonstrating fully reversible dimensional changes under cyclic operation. The proposed modular storage units can be heated during the day to a level exceeding the metal oxide’s reduction onset temperature either by hot air streams from air-operated Concentrated Solar Power (CSP) tower plants or via surplus/cheap RE-electricity from photovoltaics, wind, or other renewable sources (“charging”/energy storage step). When this RE sources become non-available or upon demand, the fully charged system can transfer its energy to a controlled airflow that passes through the porous oxide block and initiates the exothermic oxidation of the reduced metal oxide. Thus, a hot air stream is produced which can be used to provide electricity or exploitable heat for industrial processes. The present work elaborates on the operating principles and the potential application of this concept and reports progress in the preparation and shaping of reticulated porous ceramics (RPCs also known as “ceramic foams”) from CaMnO3-based perovskite compositions and their preliminary testing with respect to cyclic reduction-oxidation.
Tác dụng chống mệt mỏi và mức độ an thần của nước Kiện Lực Hồng Mã ít đường trên thực nghiệm
Authors: Thanh Mai Phương , Loan Nguyễn Thị Thanh , Phương Phạm Chi , Quang Nguyễn Bách , Hùng Lê Việt , Tùng Trần Thanh
Published: October 2024

Kiện Lực Hồng Mã ít đường là sản phẩm nước uống có nguồn gốc thảo dược với công thức được xây dựng dựa trên bài thuốc Sinh mạch tán. Nghiên cứu này được tiến hành nhằm mục tiêu đánh giá tác dụng tăng cường thể lực và mức độ an thần của nước Kiện Lực Hồng Mã ít đường trên động vật thực nghiệm. Chuột nhắt chủng Swiss được cho uống Kiện Lực Hồng Mã ít đường ở các mức liều 40 và 80 mL/kg mỗi ngày trong 10 ngày liên tục. Về hiệu quả chống mệt mỏi, Kiện Lực Hồng Mã ít đường đã thể hiện tác dụng cải thiện hiệu suất tập luyện trong các thử nghiệm rotarod và đo sức kéo, cũng như thời gian bơi của động vật thực nghiệm so với nhóm đối chứng. Hơn nữa, Kiện Lực Hồng Mã ít đường không có tác động đáng kể nào đến hoạt động tự phát của chuột nhắt được ghi nhận bằng máy đo hoạt động ký. Do đó, Kiện Lực Hồng Mã ít đường có thể là một loại nước uống để cải thiện hiệu suất tập luyện và giảm bớt sự mệt mỏi về thể chất trong khi không gây tác dụng an thần.