bluuebunny/crossref_metadata_2025 huggingface dataset:
PENGARUH KEPERCAYAAN DAN KUALITAS PRODUK TERHADAP KEPUTUSAN PEMBELIAN DI MARKETPLACE SHOPEE
Authors: Anita Heptariza  , Ni Komang Prasiani  , Andreas James Darmawan
Published: October 2024

This study aims to determine 1) the effect of trust on purchasing decisions on the Shopee marketplace, 2) the effect of product quality on purchasing decisions on the Shopee marketplace, 3) the effect of trust and product quality simultaneously on purchasing decisions on the Shopee marketplace. The data collection technique used in this study was a questionnaire using a 5-point Likert scale. The analysis model is multiple regression analysis, partial test (t test statistic), and simultaneous significance test. The results showed that the value of Sig. for the effect of X1 on Y partially is 0.000 <0.05 and the value of t count is 7.503 > t table 1.998, then there is a positive and significant influence of X1 on Y. Sig. for the effect of X2 on Y partially is 0.118 <0.05 and the t value is -1.586 > t table 1.998, then there is a negative and significant effect of X2 on Y. The significance value for the simultaneous effects of X1 and X2 simultaneously on Y is 0.000 < 0.05 and the calculated F value is 215.6 > F table 3.13 so that H3 is accepted, which means that there is a positive and significant influence X1 and X2 on Y
РАЗРАБОТКА АЛГОРИТМОВ РАСПОЗНАВАНИЯ СХОЖИХ ПО НАЧЕРТАНИЮ БУКВ И ЦИФР НОМЕРНЫХ ЗНАКОВ ТРАНСПОРТНЫХ СРЕДСТВ
Authors:   НАО Восточно-Казахстанский технический университет им. Д. Серикбаева, Усть-Каменогорск, Казахстан, Денисова Наталья , Жұмабек Еламан ,   НАО Восточно-Казахстанский технический университет им. Д. Серикбаева, Усть-Каменогорск, Казахстан, Тлебалдинова Айжан ,   НАО Восточно-Казахстанский технический университет им. Д. Серикбаева, Усть-Каменогорск, Казахстан, Дёмина Ирина ,   НАО Восточно-Казахстанский технический университет им. Д. Серикбаева, Усть-Каменогорск, Казахстан
Published: October 2024

В статье рассматривается разработка и внедрение алгоритмов распознавания схожих по начертанию букв и цифр на номерных знаках транспортных средств, предназначенных для использования в системах умной парковки. В качестве методов применяются передовые технологии компьютерного зрения, такие как YOLO для детекции номерных знаков и CNN для классификации символов и OCR для распознавания текста. Исследование демонстрирует, что интеграция этих методов позволяет добиться достаточно высокой точности распознавания даже в условиях сложного фона и различных освещенностей. Данные для экспериментальных исследований были собраны различными методами и включают 10 000 изображений номерных знаков транспортных средств. Точность распознавания схожих по начертанию букв и цифр составила 86%. В реальных условиях эксплуатации системы распознавания номерных знаков транспортных средств общая точность классификации составляет 92%. Основным вкладом работы является разработка надёжного и эффективного алгоритма, который может быть применим в реальных условиях для автоматизации процессов на умных парковках, обеспечивая безопасность и удобство для пользователей.
ТӨТЕНШЕ ЖАҒДАЙЛАРДЫ АНЫҚТАУ ҮШІН ТЕРЕҢ ОҚЫТУ МОДЕЛІН ҮЙРЕТУГЕ АРНАЛҒАН АУДИОСИГНАЛДАРДЫ АЛДЫН-АЛА ӨҢДЕУ
Authors:   Академик У.А.Жолдасбеков атындағы механика және машинатану институты, Алматы, Қазақстан, Досбаев Жандос , Тулешов Амандык ,   Академик У.А.Жолдасбеков атындағы механика және машинатану институты, Алматы, Қазақстан, Садықова Бибігүл ,   Әл-Фараби атындағы Қазақ Ұлттық Университеті, Алматы, Қазақстан, Жекамбаева Майгуль ,   Қ.И.Сәтбаев атындағы Қазақ ұлттық техникалық зерттеу университеті, Алматы, Қазақстан
Published: October 2024

Аудиосигналдарды алдын-ала өңдеу (preprocessing) және дыбыстық сигналдардан белгілерді алу терең оқыту модельдерін құруда маңызды қадам болып табылады, сонымен қатар моделдің нақтылығына елеулі әсерін тигізеді. Әсіресе төтенше оқиғаларды анықтауда қысқа және ұзақ мерзімді, сонымен қатар түрлі жиіліктегі аудиосигналдар өңделетіндіктен, барлық класстар бойынша сигналдардың сипаттамалық қасиеттерін қамтитын белгілерді алу маңызды. Жұмыста аудиосигналдар негізінде оқиғаларды анықтау үшін қолданылатын алдын ала өңдеу әдістемелері мен аудиосигналдардан алынатын белгілердің түрлері қарастырылды. Зерттеу жұмысының мақсаты әлеуметтік сипаттағы төтенше оқиғаларды анықтауға арналған терең оқыту моделінің архитектуралық ерекшеліктеріне сәйкес аудиосигналдарға алдын-ала өңдеу жасап, модельге берілетін белгілерді таңдау. Модельді оқытуға төтенше оқиғаларды сипаттайтын сегіз түрлі класс бойынша жинақталған аудиодерекқор қолданылды. Аудиодерекқор жылау, сирена, от, қару-жарақ дыбысы, айқай, жарылыс, терезенің сынуы, иттің үруі деген класстарды қамтиды. Ең алдымен, аудиосигналдар бір өлшемді сигналдарға түрлендірілді және олар қабаттасуы 50-ды құрайтын кадрларға бөлінді. Келесі қадамда аудиодеректерден айқын көрінген хромограмма, спектралдық контраст, Tonal centroid, Mel-frequency cepstrum (MFC) және Mel-frequency cepstral coefficients (MFCC) белгілері таңдалып алынды. Нәтижесінде, алдын-ала өңдеуден өткен аудиосигналдардан алынған белгілер CNN-BiLSTM моделіне беріледі. Ұсынылған терең оқыту моделін қоғамдық орындар мен халық көп шоғырланатын инфрақұрылымдардағы әлеуметтік сипаттағы төтенше оқиғаларды анықтап, дер кезінде хабар беру үшін қолданылады.
Perjanjian Pengikatan Jual Beli Hak Atas TanahBerdasarkan Akta Notaris
Authors: Mochamad Amin  , Teguh Anindito  , Wiwin Mochtar Wiyono
Published: October 2024

The purpose of this study was to determine the strength of the sale and purchase agreement deed of land rightsmade by a Notary in the implementation of the deed of sale and purchase of land. To achieve these objectivesthe author uses a normative juridical approach, Research Specifications are legal in nature. The method ofpresenting date is presented in the form of descriptions which are grouped and then arranged systematically.Conclusion: based on the results of the research and discussion shows that the legal strenght of the sale andpurchase rights agreement on land rights made by a Notary in the implementation of the Sale Deed is verystrong, because the deed is anotary deed which is an authentic deed, authorization that cannot beingwithdrawn in the sale and purchase agreement is not included in the absolute power that is prohibited by theMinister of Home Affairs’ Instruction No. 14 of 1982 concerning Prohibition of the Use of Absolute Authoritiesas the Transfer of Right to Land, so that legal status is valid.
Penerapan Asas Keadilan, Kemanfaatan, dan Kepastian Hukumdalam Kebijakan Pengampunan Pajak (Tax Amnesty) di Indonesia
Authors: Yesi Arfianto
Published: October 2024

The purpose of this study is to determine the application of the principles of justice, benefit, and legal certainty intax amnesty policies in Indonesia. There are many problems in society related to the absence of the principle ofjustice and the principle of legal certainty in the implementation of tax amnesty policies based on Law Number11 of 2016 concerning Tax Amnesty. This study uses a descriptive normative type of research based on thematerials collected, both primary and secondary legal materials. The research approach used by the author is astatutory approach. The results of the study stated that the principle of justice and the principle of legal certaintycould not be applied optimally, however, the principle of benefit could be implemented properly with theimplementation of a tax amnesty program properly.
Simulated particle evolution within a winter storm: contributions of riming to radar moments and precipitation fallout
Authors: DeLaFrance Andrew , McMurdie Lynn A. , Rowe Angela K. , Heymsfield Andrew J.
Published: October 2024

Abstract. Remote sensing radars from airborne and spaceborne platforms provide critical observations of clouds to estimate precipitation rates across the globe. The ability of these radars to detect changes in precipitation properties is advanced by Doppler measurements of particle fall speed. Within mixed-phase clouds, precipitation mass and its fall characteristics are especially sensitive to the effects of riming. In this study, we quantified these effects and investigated the distinction of riming from aggregation in Doppler radar vertical profiles using quasi-idealized particle-based model simulations. Observational constraints of a control simulation were determined from airborne in situ and remote sensing measurements collected during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) for a wintry–mixed precipitation event over the northeastern United States on 4 February 2022. From the upper boundary of a one-dimensional column, particle evolution was simulated through vapor deposition, aggregation, and riming processes, producing realistic Doppler radar profiles. Despite a modest observed amount of supercooled liquid water (0.05 g m−3), riming accounted for 55 % of the ice-phase precipitation mass, cumulatively increasing reflectivity by 44 % and Doppler velocity by 68 %. Independent evaluation of process-based sensitivities showed that, while radar reflectivity is comparably sensitive to either riming- or aggregation-based particle morphology, the Doppler velocity profile is uniquely sensitive to particle density changes during riming. Thus, Doppler velocity profiles advance the diagnosis of riming as a dominant microphysical process in stratiform clouds from single-wavelength radars, which has implications for quantitative constraints of particle properties in remote sensing applications.
Quantifying the feedback between Antarctic meltwater release and subsurface Southern Ocean warming
Authors: Lambert Erwin , Le Bars Dewi , van der Linden Eveline , Jüling André , Drijfhout Sybren
Published: October 2024

Abstract. The subsurface ocean around Antarctica is one of the primary drivers of mass loss from the Antarctic ice sheet through the basal melting of ice shelves. The resultant meltwater flux into the surrounding ocean can, mainly through reduced vertical mixing, further enhance subsurface ocean warming, inducing a positive feedback that amplifies mass loss and sea-level rise. Here, we quantify this feedback between Antarctic meltwater release and ocean warming using Linear Response Functions in the Earth System Model EC-Earth3. Increased meltwater release from five individual Antarctic ice sheet regions is found to unambiguously warm the subsurface Southern Ocean at centennial time scales. This warming response is quantified in terms of Linear Ocean Response Functions. Combining these with Linear Response Functions of the Antarctic mass loss and sea level rise because of ocean warming, allows for the quantification of the meltwater–ocean-warming feedback. Here, this feedback is calculated for ocean temperature projections from 14 CMIP6 Earth System Models, and Linear Response Functions from 8 Ice Sheet Models. Using a fixed basal melt relation to ocean temperatures, the feedback enhances 21st century projections of the Antarctic sea-level contribution by approximately 80 %. Calibration of the basal melt relation on observed historical icemass loss reduces this effect to 5 %. This calibration is achieved by reducing the basal melt parameter by 35 % on average. We propose that a similar reduction in the basal melt parameter must be applied in ice-sheet model forcing when transitioning from a stand-alone setup to an ice-sheet–ocean coupled setup in which the meltwater–warming feedback is explicitly simulated.
Anisotropic metric-based mesh adaptation for ice flow modelling in Firedrake
Authors: Dundovic Davor , Wallwork Joseph G. , Kramer Stephan C. , Gillet-Chaulet Fabien , Hock Regine , Piggott Matthew D.
Published: October 2024

Abstract. Glaciological modelling is a computationally challenging task due to its high cost and complexity associated with large spatial- and long time-scale simulations. In this paper, we provide a comprehensive overview of state-of-the-art feature-based anisotropic mesh adaptation methods and demonstrate their effectiveness for time-dependent glaciological modelling using the Python-based Firedrake finite element library. We introduce a novel hybrid time-dependent fixed-point mesh adaptation algorithm that generates a more optimal initial mesh sequence. The algorithm requires approximately 50 % fewer iterations in order to reach mesh convergence, while still controlling spatial error and its temporal distribution. We demonstrate the effectiveness of anisotropic mesh adaptation and the novel fixed-point algorithm on a Marine Ice Sheet Model Intercomparison Project (MISMIP+) experiment. We show that we are able to achieve solution accuracy comparable to a uniform 0.5 km resolution mesh simulations by using a sequence of adapted meshes with, on average, 10–30 times fewer vertices, depending on the sensor field used to drive mesh adaptation. Due primarily to the iterative nature of the mesh adaptation process employed, this translates in practice into a 3–6 times lower overall computational cost.
A Global Terrestrial Precipitable Water Vapor Dataset from 2012 to 2020 Based on Microwave Radiation Imager Measurements from Three Fengyun Satellites
Authors: Xia Xinran , Jiang Rubin , Min Min , Wu Shengli , Zhang Peng , Xia Xiangao
Published: October 2024

Abstract. A global terrestrial precipitable water vapor (PWV) dataset has been developed using observations from the MicroWave Radiation Imager (MWRI) aboard the FY-3 satellite series (FY-3B, FY-3C and FY-3D) spanning 2012 to 2020. The dataset offers twice-daily PWV records at a spatial resolution of 0.25° × 0.25°, aligned with the ascending and descending orbits of the FY-3 satellites. The dataset was generated using an automated machine learning (ML) model that leverages MWRI-based features characterizing surface conditions and an enhanced Global Position System (GPS) PWV dataset as a reference. Trained on over one million sampling points from more than ten thousand stations worldwide, the model ensures a robust representation of global PWV variations. Independent evaluations against SuomiNet GPS and Integrated Global Radiosonde Archive Version 2 (IGRA2) PWV products yielded root mean square error (RMSE) of 4.47 mm and 3.89 mm, respectively, with RMSE values ranging from 2.90 to 5.49 mm across various surface conditions. The dataset effectively captures both spatial and temporal PWV variations, allowing for precise examination of localized and abrupt changes in water vapor induced by extreme weather events. Representing a significant advancement in global terrestrial PWV monitoring, the MWRI PWV dataset provides an all-weather, high-precision data record that bridges gaps in global coverage of passive microwave-based terrestrial PWV observations. It is a valuable resource for atmospheric research, climate modeling, water cycle studies, and beyond. The dataset is available at: https://doi.org/10.6084/m9.figshare.26712709 (Xia et al., 2024).
Comparison of BARRA and ERA5 in Replicating Mean and Extreme Precipitation over Australia
Authors: Cheung Kevin K. W. , Ji Fei , Nishant Nidhi , Teng Jin , Bennett James , Liu De Li
Published: October 2024

Abstract. Reanalysis datasets are critical in climate research and weather analysis, offering consistent historical weather and climate data crucial for understanding atmospheric phenomena, and validating climate models. However, biases exist in reanalysis datasets that would affect their applications under circumstances. This study evaluates BARRA, which is a high-resolution reanalysis for the Australian region, and ERA5 in simulating mean precipitation and six selected precipitation extremes for their climatology, temporal correlation, coefficient of variation and trend. Both models reproduce spatial patterns of mean precipitation well with minor biases. ERA5 shows stronger temporal correlations, superior inter-annual precipitation accuracy, and lower biases in coefficient of variation compared to BARRA, especially in Northern Australia. However, both models exhibit substantial biases in trend, underestimating increasing trends in Northern Australia. ERA5 underestimates dry days and heavy rainfall, while BARRA tends to overestimate these extremes. Temporal correlations for extreme precipitation indices are weaker compared to mean annual precipitation. Notable differences exist in variability biases, with BARRA showing larger biases, especially for heavy precipitation in inland regions and Northern Australia. While both datasets replicate the main trends, biases persist. Overall, the evaluation results support application of both datasets for climatology analyses, but caution is advised for variability and trend analyses, particularly for specific extremes.
Characterizing nonlinear, nonstationary, and heterogeneous hydrologic behavior using ensemble rainfall–runoff analysis (ERRA): proof of concept
Authors: Kirchner James W.
Published: October 2024

Abstract. A classical approach to understanding hydrological behavior is the unit hydrograph and its many variants, but these often assume linearity (runoff response is proportional to effective precipitation), stationarity (runoff response to a given unit of rainfall is identical, regardless of when it falls), and spatial homogeneity (runoff response depends only on spatially averaged precipitation). In the real world, by contrast, runoff response is typically nonlinear, nonstationary, and spatially heterogeneous. Quantifying this nonlinearity, nonstationarity, and spatial heterogeneity is essential to unraveling the mechanisms and subsurface properties controlling hydrological behavior. Here, I present proof-of-concept demonstrations illustrating how nonlinear, nonstationary, and spatially heterogeneous rainfall–runoff behavior can be quantified, directly from data, using ensemble rainfall–runoff analysis (ERRA), a data-driven, model-independent method for quantifying rainfall–runoff relationships across a spectrum of time lags. I show how ERRA uses nonlinear deconvolution to quantify how catchments' runoff responses vary with precipitation intensity and to estimate their precipitation-weighted runoff response distributions. I further illustrate how ERRA combines nonlinear deconvolution with de-mixing techniques to reveal how runoff response depends jointly on precipitation intensity and nonstationary ambient conditions, including antecedent wetness and vapor pressure deficit. I demonstrate how ERRA's de-mixing techniques can be used to quantify spatially heterogeneous runoff responses in different parts of a catchment, even if those subcatchments are not separately gauged. I also illustrate how ERRA's broken-stick deconvolution capabilities can be used to quantify multiscale runoff responses that combine hydrograph peaks lasting for hours and recessions lasting for weeks, well beyond the average spacing between storms. ERRA can unscramble these multiple effects on runoff response even if they are overprinted on each other through time and even if they are corrupted by autoregressive moving average (ARMA) noise. Results from this approach may be informative for catchment characterization, process understanding, and model–data comparisons; they may also lead to a better understanding of storage dynamics and landscape-scale connectivity. An R script is provided to perform the necessary calculations, including uncertainty analysis.
Reevaluating Flood Protection: Disaster Risk Reduction for Urbanized Alluvial Fans
Authors: Grodek Tamir , Benito Gerardo
Published: October 2024

Abstract. The deterioration of check dams and other flood prevention measures, combined with storms breaking historical records, has created an immediate risk of floods and debris flows breaching urbanized alluvial fans. In this study, we reevaluate these flood and sediment prevention measures and propose a different flood prevention paradigm. Flood defense measures like check dams, terraces, and afforestation in steep mountain basins aim to retain sediments and prevent them from reaching the alluvial fan, ensuring the functionality of bypass canals and levees. However, this approach provides a false sense of security; natural and man-made weathering and erosion processes continue, causing sediments to accumulate in the control measures, gradually reducing their effectiveness and strength. Over decades, high-intensity rainstorms can trigger slope instability and flooding, leading to the collapse of these measures that carries the accumulated sediments into urban areas in the form of destructive debris flows. As the risk gradually increases over time, the long-term effectiveness of these measures is questionable. Findings from disastrous events worldwide, together with 60 years of flood monitoring in the city of Eilat, highlight the potential for incorporating flood management within urbanized alluvial fans. It has been shown that, for long-term safety, the steep mountain basin should remain natural to allow the continuous evacuation of sediments. On the alluvial fan, the strategic placement of recreation areas, radial roads, and parks can effectively create space for incoming water and sediment. Our approach to disaster risk reduction proposes a shift in urban planning priorities to incorporate flood management by allocating 20–30 % of the alluvial fan—including the fan head and several wide radial road corridors down to the fan toe—for stream migration and sediment deposition. This concept was effectively tested using a physical analogue model in the laboratory.
Review article: Towards multi-hazard and multi-risk indicators – a review and recommendations for development and implementation
Authors: White Christopher J. , Adnan Mohammed Sarfaraz Gani , Arosio Marcello , Buller Stephanie , Cha YoungHwa , Ciurean Roxana , Crummy Julia M. , Duncan Melanie , Gill Joel , Kennedy Claire , Nobile Elisa , Smale Lara , Ward Philip J.
Published: October 2024

Abstract. Undertaking a natural hazard or risk assessment from a single hazard approach can be considered incomplete where the interactions between and impacts from multiple hazards and risks are not considered. However, the development of indicators in disaster risk management has only recently started to explicitly include multi-hazard and multi-risk approach. Indicators contain observable and measurable characteristics to simplify information to understand the state of a concept or phenomenon, and/or to monitor it over time. To date, there have been limited efforts to understand how indicators are being used in this context. Using a systematic review, 194 publications were identified that mention indicators, covering hazards, vulnerability, and risk/impact. We find that the majority of studies exploring indicators are multi-layer single hazards and risks; in other words, they did not include the interactions between hazards. The results also demonstrate a predominance of studies on hazard indicators (88 %) versus risk indicators, with a dominance of hydro-meteorological indicators. Only 20 % of the studies integrated hazard, vulnerability and risk/impact. Based on the findings, we propose 12 recommendations to enable the uptake of indicators, from advancing research into multi-hazard and multi-risk indicator frameworks, to enabling partnerships to ensure the inclusion of stakeholder needs in indicator development.
A comparison of two nonlinear data assimilation methods
Authors: Montiforte Vivian A. , Ngodock Hans E. , Souopgui Innocent
Published: October 2024

Abstract. Advanced numerical data assimilation (DA) methods, such as the four-dimensional variational (4DVAR) method, are elaborate and computationally expensive. Simpler methods exist that take time variability into account, providing the potential of accurate results with a reduced computational cost. Recently, two of these DA methods were proposed for a nonlinear ocean model, an implementation which is costly in time and expertise, developing the need to first evaluate a simpler comparison between these two nonlinear methods. The first method is diffusive back-and-forth nudging (D-BFN), which has previously been implemented in several complex models, most specifically an ocean model. The second is the concave–convex nonlinearity (CCN) method that has a straightforward implementation and promising results with a toy model. D-BFN is less costly than a traditional variational DA system but requires an iterative implementation of equations that integrate the nonlinear model forward and backward in time, whereas CCN only requires integration of the nonlinear model forward in time. This paper investigates if the CCN algorithm can provide competitive results with the already tested D-BFN within simple chaotic models. Results show that observation density and/or frequency, as well as the length of the experiment window, significantly impacts the results for CCN, whereas D-BFN is fairly robust to sparser observations, predominately in time.
As escusas probatórias do artigo 404 do CPC/15 e o direito constitucional à prova
Authors: Müller Bueno Debora
Published: October 2024

O presente artigo visa analisar a aplicabilidade das escusas probatórias previstas no rol exemplificativo do artigo 404 do CPC/2015, a partir da ponderação entre os direitos fundamentais das partes, em principal, o direito constitucional à prova, entendido como direito implícito decorrente da inafastabilidade da tutela jurisdicional. Além disso, é examinado, em breve síntese, o papel das provas na relação jurídica processual e a quem são dirigidas.
Transição hospital-domicílio da pessoa idosa à luz da Teoria de Afaf Meleis
Authors: Gonçalves Isabela de Jesus , Amaral Juliana Bezerra do , Silva Valdenir Almeida da , Orge Andrea Bastos , Paranhos Rayssa Fagundes Batista
Published: October 2024

Objetivo: analisar os condicionantes facilitadores e inibidores no processo de transição do cuidado hospital-domicílio da pessoa idosa à luz da Teoria das Transições de Afaf Meleis. Método: pesquisa qualitativa, descritiva, realizada com nove cuidadores familiares de pessoas idosas que haviam recebido alta hospitalar. Realizada entrevista semiestruturada via dispositivo móvel telefônico e a análise dos dados por meio da análise de conteúdo, considerando os pressupostos da Teoria das Transições de Afaf Meleis. Resultados: os condicionantes facilitadores para a transição hospital-domicílio foram o significado positivo para o retorno ao lar após hospitalização, a espiritualidade/religiosidade para enfrentamento da condição saúde/doença estabelecida, a estabilidade financeira, o preparo para gerenciamento do cuidar no domicílio e a disponibilidade de rede de apoio social e comunitária. Os condicionantes inibidores foram o significado negativo para o retorno ao domicílio, o déficit da pessoa idosa para o autocuidado, a insegurança financeira, a falta de preparo para o cuidar no domicílio e a ausência da rede de apoio social e comunitária. Conclusão: os condicionantes facilitadores e inibidores influenciaram, respectivamente, positivo e negativamente na forma como os cuidadores familiares atuam em domicílio, direcionando a terapêutica de enfermagem para potencializar os facilitadores e atenuar os inibidores.
Preliminary considerations on the columns and framings of the Nicetas codex (Laur. Plut. 74.7)
Authors: Bovine Gary , Lazaris Stavros
Published: October 2024

The Nicetas codex (Laur. Plut. 74.7) dated 10th century is the oldest extant Greek manuscript on Hippocrates and his followers with commentaries of orthopaedic methods on fractures, luxations, subluxations, and bandaging techniques. Of visual interest are two texts, Apollonius of Citium on methods of joint treatment techniques, and Soranus of Ephesus on bandaging. The Apollonius of Citium text contains 29 color illustrations of Hippocrates techniques of reducing luxations of the joints, framed with semicircular pediments, two columns and arches. These frames are similar to the columns and arches seen in the Eusebian Gospel tables. The authors discuss the meaning of these frames as they apply to the Eusebian Gospels, and their importance as mnemonic devices for the Apollonius of Citium illustrations.
Quem são os professores de adultos nas prisões portuguesas e como eles constroem o seu saber?
Authors: Paulo Ferreira Loureiro Armando , Manuel Oliveira Ribeiro Nuno
Published: October 2024

A educação de adultos ocorre em diversos contextos. Os estabelecimentos prisionais são um deles. Assim sendo, neste artigo, pretende-se, essencialmente, traçar o perfil dos professores que desenvolvem as suas funções nas prisões de Portugal e, simultaneamente, procurar perceber como constroem e desenvolvem os saberes que lhes permitem desempenhar as suas funções num local com características tão particulares. Para tal, realizámos um levantamento a nível nacional sobre os professores que trabalham na educação nas prisões do continente e ilhas, a quem foi enviado um inquérito por questionário. Os resultados mostram, entre outros aspetos, que são sobretudo mulheres, que têm, na sua maior parte, mais de 40 anos, que predomina o grau académico de licenciado, que não têm qualquer formação específica para lecionar a adultos em contexto prisional e que o contexto de trabalho e a prática nele realizada assume relevo na construção dos saberes que lhes permitem atuar em tal contexto.
Modeling of Brazilian Wind Power Generation Capacity: A Multivariate Analysis with Neural Networks
Authors: Daiane Rodrigues dos Santos  , Tuany Esthefany Barcellos  , Tiago Costa  , Maria Laura Marques  , Daniela Prado  , Reinaldo Castro
Published: October 2024

Over the last twenty years, Brazil has experienced significant changes in its electric energy matrix, notably with the expansion of wind and solar energy sources. In the early 2000s, hydroelectric plants with a capacity of 70 gigawatts (GW) were responsible for generating 90% of the country's electricity, while solar and wind sources contributed merely 1%. Today, the scenario has evolved, with wind and solar energy comprising approximately 25% of the national generation, indicating a departure from the previous hydro-dominated matrix. This research aims to apply specific types of neural networks to multivariate data to forecast Brazil's wind power generation capacity, providing insight into the potential for future energy strategies. This research contributes as a as a decision support tool contemplating relevant information for analysts, researchers, and participants in the renewable energy market. The monetary volume destined to import key components of the wind, considering specific time lags, was utilized to forecast the Installed capacity of the wind farms in Brazil. The Toda-Yamamoto Causality Tests revealed unidirectional Granger causality in the sense of the Import variable for the Brazilian Installed Capacity variable for wind energy production. Another result obtained was the finding that the variable that matters most in the multivariate configuration of the Neural Network is the variation in Installed Capacity in megawatts, followed by the import volume of wind energy components, which exhibited critical lags at 3 and 6 months.
A Modular Multi-Technology Generator Model for EMT Stability Studies in Power Systems with Large Amounts of Converter-based Generation
Authors: Jesús Castro Martínez  , Santiago Arnaltes  , José Luis Rodríguez  , Javier Renedo  , Edgar Nuño Martínez  , Macarena Martín Almenta  , Sergio Martínez Villanueva
Published: October 2024

This paper explores the integration of converter- based generation (CBG) into power systems, analyzing their impact on power system stability. For this purpose, a simulation tool consisting of comprehensive, aggregated models integrating several generation technologies into a power system for dynamic simulation has been developed to represent three prominent generation technologies: synchronous generation (SG), grid- following converters (GFL), and grid-forming converters (GFM). The proposed modular multi-technology generator model allows to set the penetration level of each technology at any bus of the system, thus facilitating stability assessment of power systems with large amounts of CBG. Electromagnetic-type (EMT) studies are carried out in a small test system to analyse the impact of the GFL/GFM generation ratio on power system stability. The results show the capability of the proposed tool for testing the impact of the generation mix in the stability of the system, highlighting the importance of GFM generation to operate in with low amounts or in absence of synchronous generators in the system.
Experimental test bench for validating grid-forming strategies in V2G applications
Authors: A. Ordono  , J. Rodriguez-Gongora  , F.J. Asensio  , J.A Cortajarena  , A. Sanchez-Ruiz  , M. Zubiaga
Published: October 2024

An experimental platform is developed with the aim of evaluating the performance of grid forming strategies in bidirectional electric vehicle (EV) chargers. The test bench is developed connecting a battery simulator to a grid simulator using a power converter that acts as an EV charger. This EV charger is composed of two stages: a DC/DC that increases the DC voltage of the battery, and a DC/AC that exchanges active and reactive power with the grid. The interface between the EV charger and the grid is done using an LCL filter, which is designed to meet the power quality requirements of the grid standards. The controller is a cRIO-9040, which integrates the control algorithms for both DC/DC and DC/AC stages, and a high acquisition task (10 kHz). The results obtained in the test bench are compared with the simulations carried out in Matlab/Simulink, showing the appropriateness of the experimental setup to validate control algorithms.
Photovoltaics for reaching Net-Zero Energy Standard in Educational buildings
Authors: E. Zalamea-León  , A. Ordoñez-Castro  , A. Barragán-Escandón  , B. Orellana-Alvear  , J. Hidalgo Cordero  , X. Serrano-Guerrero
Published: October 2024

Buildings should become energy-neutral to reduce pressure on the planet's resources and the atmosphere. Then cities must be energized with in-site renewables integrated to reach low-impact sustainable cities. This research project is an initial step to figuring out the feasibility of reaching the Net Zero Energy condition in the Architecture Department buildings of the University of Cuenca, as a case sample of higher-educational facilities located next to the equator and on the highlands of the Andes mountains range. In this research we had just determined the photovoltaic (PV) potential to reach the actual energy requirement as an initial step, to do so, we had virtually constructed the building facilities and obtained the building energy requirements, considering full power requirements measured before the COVID restrictions. As the main results, we determined, that 88,6 % of the 2019 energy requirements could be solved with solar PV considering roof availability and architectural restrictions. The financial analysis also reveals that it is a profitable strategy. Next research will determine that comfort levels are adequate to foresee the total requirements to reach the NZEB standard.
The Ecological Improvement of Architectural Design by Renewable Energy Equipment
Authors: Liu Ying
Published: October 2024

Renewable energy is an important part of green building, which will directly promote the development of a low-carbon economy and have a direct or indirect impact on the regional ecological improvement. At present, the ecological evaluation research of renewable energy green building mainly focuses on the theoretical aspect, explaining green materials, low-carbon recycling, social responsibility and other contents, which lacks practical discussion and analysis, but ignores the impact of green ecological improvement. In order to deeply study the impact of renewable energy equipment on the ecological improvement of architectural design, this paper extracts the content and indicators of green building analysis of renewable energy equipment by the factor regression analysis method of ecological footprint, standardizes the indicators, and eliminates the invalid indicators. Then, the green building of renewable energy equipment is analyzed according to the index to find out the main impact aspects. Finally, the problems are analyzed, the reasons are explored, and relevant countermeasures are proposed according to the regression results. The research results show that the renewable energy equipment has a significant impact on the ecological improvement of architectural design, and the ecological footprint model has certain practicability and reliability in the evaluation of green buildings of renewable energy.
International English Teaching Planning and Evaluation of Renewable Energy Application Projects from Perspective of Sustainability
Authors: Qian Yuanyuan
Published: October 2024

The application of renewable energy has positively contributed to the Eco-city by alleviating energy tension, improving energy structure, enhancing energy utilization efficiency, and building a resource-saving and environment-friendly society. At the same time, several demonstration projects with advanced and applicable technology, stable and reliable operation, and high promotion value have been completed, and a relatively complete system of regulations, policies, technical standards, application modes, and capacity building for the application of renewable energy buildings has been initially formed. This study analyzes the current global demand for renewable energy and education status quo and proposes a set of teaching programs combined with practical applications. In response to the needs, a comprehensive framework integrating theoretical teaching, hands-on practice, rigorous program evaluation, and dynamic feedback loops is designed to cultivate students' global perspectives and emphasize the importance of cross-cultural dialogue and international cooperation. The implementation results showed a significant improvement in the students' understanding of renewable energy, with a 40% improvement at the end of the class. As a result of the IEP implementation, 85% of the students targeting the Renewable Energy Applications Program have achieved the expected teaching objectives in terms of energy and environmental policy comprehension, renewable energy technology mastery, and intercultural communication skills, which is a 30% improvement from the pre-implementation period. In addition, there has been a significant increase in international exchanges between students, contributing to creating a more holistic approach to sustainable development.
The Impact of Wall Structure with Photovoltaic Function on Prefabricated Buildings
Authors: Zhu Jiahui , Hu Jiaying
Published: October 2024

The wall structure is the main load-bearing component of the prefabricated building, which plays an important role in the stability and aesthetics of the building. With the deepening of the application of new energy in the construction field, the application of photovoltaic wall with photovoltaic function is becoming more and more extensive. However, there is still controversy about whether the photovoltaic function can meet the requirements of the building. On this basis, this paper discusses the wall structure with photovoltaic function in depth, and analyzes its energy consumption, heat preservation, ventilation and cost indicators. The results show that the wall structure of photovoltaic function can improve the aesthetics of prefabricated buildings, meet customer demand rate of more than 75%, save energy consumption by 25%~30%, increase indoor temperature by 1~3 degrees, and ventilate at 1.2 levels. It can be inferred that the load-bearing wall of photovoltaic function is suitable for prefabricated buildings and has the potential and role of vigorous development.
Temperature Control of Concrete Structure in Bridge Construction by Renewable Energy Technology
Authors: Zuo Ziwei , Qu Gang
Published: October 2024

In this study, the classical display nonlinear dynamic analysis method was used to detect the temperature of concrete structures in bridge construction. Firstly, two different bridge construction test methods, the Winfrith subfunction and CSCM subfunction, were selected to detect the nonlinear temperature of the simulated concrete, and the temperature of the bridge concrete structure and the residual velocity of solidification were detected and analyzed by combining the nonlinear dynamic algorithm for data processing. The results show that the data of the nonlinear dynamic test in this paper agree with the actual requirements, and the accuracy rate is about 90~95%. In addition, the Winfrith subfunction calculates the data of the large strain force of photovoltaic temperature control energy on concrete. It identifies the nonlinear characteristics of high strain rate, especially the effect of photovoltaic heating, battery stable power supply heating, and the effect of wind on water vapor dissipation, which further proves that renewable energy technology can monitor the temperature of concrete structures in bridge construction, and effectively detect and identify concrete problems to support the construction and later use of bridge concrete.
An Adaptive Secondary Control Based on Recursive Neural Networks for Isolated Microgrids
Authors: L. Rodríguez  , A. Pantoja  , J. Revelo  , J. Barco-Jiménez
Published: October 2024

This work proposes a model reference adaptive control based on recursive neural networks. This secondary-level controller corrects the deviations on the voltage and frequency setpoints of a simple primary control in an isolated microgrid (MG) with multiple distributed generators (DGs). The controller has two nonlinear autoregressive with external input neural networks to emulate the microgrid and guide the whole system according to an appropriate reference model. The networks are trained with synthetic data from a simulation MG and the order of the networks are obtained with a deterministic method. The method is tested with a three-units MG in a Matlab simulation under different working conditions. Results show the proper performance of the proposed controllers in comparison to a PI strategy.
Assessment Methods for ESG Information Disclosure Quality and Investor Behavior in the Renewable Energy Industry
Authors: Wang Beichen
Published: October 2024

In emerging nations, there's a growing wave of Environmental, Social, and Governance (ESG) reporting. ESG disclosure aimed to meet the informational needs of all stakeholders of the company, with a particular focus on investors. Industries are becoming increasingly engaged in sustainability initiatives as a result of global resource scarcity and inequality. 365 Chinese investors were carefully chosen using the convenient sampling technique. The research study has analyzed the influence of investor behavior on ESG (Environmental, Social, and Governance) information disclosure and also the role of risk tolerance in mediating the relationship between investor behavior and sustainable development within the new energy sector in China. The results were obtained through analyzing Structural Equation Modeling (SEM) and Confirmatory Factor Analysis (CFA) by contributing Python software. The outcomes revealed that ESG factors have a significant effect on Investor's behavior. Also, Risk tolerance as a mediating variable has a significant effect on investor behavior and sustainable development in the new energy industry. The hypothesis with the variables are passed into the DL strategy that involves two classifiers like DCNN and LinkNet. These models classifies that whether the investor is likely to prioritize ESG concern in investment decision or not and determines the sustainable development in the new energy industry.
Intelligent and Optimal System for Monitoring Environmental Variables and Solar Luminosity, with solar path tracker and telemetry
Authors: J. Alan Calderón Ch.  , Benjamín Barriga Gamarra  , Julio C. Tafur Sotelo  , Fernando Jiménez Ugarte
Published: October 2024

In this proposed research are analyzed general solutions and techniques to optimize the solar luminosity measurement by a designed smart system, as well as its usability by the solar energy conversion and its storing. However, many times, this kind of systems have not an optimal solar path tracker and as a consequence it can not be measured the full solar luminosity during all the day, therefore, in this work are designed optimal mathematical models and algorithms to enhance the solar path tracker according to measure solar luminosity and getting optimal solar energy conversion/storing, which is useful to study geographical conditions before to build solar energy conversion centers. As well as, in this research also is studied and suggested some techniques to get wireless data communication regarding the measured environmental variables, measured solar luminosity and stored electrical energy as a consequence of the solar energy conversion, which can be transmitted, so far away, to a central monitoring center by Radio Frequency (RF) waves.
Influence of Wind Power Generation on the Steel Structure Design of Green Buildings
Authors: Shi Hui
Published: October 2024

Wind power generation in renewable energy is the current research focus, but the relationship between wind power generation and green buildings is the basis for ensuring the stable operation of wind power generation, so it has become the current research focus. I propose a composite method based on the heat energy limit theory to study the relationship between wind power generation and the steel structure of green buildings, find the weak points of the steel structure in time, and ensure the continuous operation of wind power generation. The simulation results show that there is a negative correlation between wind power generation and green steel structure, and there is a close relationship between the design characteristics of the steel structure, the material and the installation method of wind power generation. The composite method proposed in this paper can monitor the operation effect of power generation at noon in time, and the accuracy of heat energy monitoring of steel structure can reach 80~90%, and the whole monitoring time is less than 15 seconds, which shows that the composite method proposed by us can provide support for the design and analysis of wind power generation and green steel structure buildings, and has theoretical feasibility. Therefore, strengthening the relationship between wind power generation and green steel structure design is the technical condition for the operation and implementation of steel structure, and it is also the guarantee of wind power generation.
Use of zero-dimensional modelling to predict performance and assess feasibility of solid oxide fuel cell-gas turbine hybrid system
Authors: A. Felix  , C. Kalyvas
Published: October 2024

This study looks at a steady state and a dynamic model of a solid oxide fuel cell-gas turbine (SOFC-GT) system. The steady state model is used to perform a sensitivity analysis of the system’s electrical efficiency to design parameters at design point, while the dynamic model is used to predict key performance indicators across the operating range of the system. Electrical efficiency at the design point was found to be most sensitive to gas turbine pressure ratio and SOFC temperature. Power output was increased from the baseline to peak on the dynamic model and peak electrical efficiency was found to be 0.61 at 58% load.