Hasil untuk "General works"

Ali Nasiri Khiavi, Mehdi Vafakhah, Dongkun Kim et al.

ABSTRACT This study develops a comprehensive framework for mapping flood susceptibility and vulnerability in the Cheshmeh‐Kileh forest watershed in northern Iran by integrating remote sensing (RS), local knowledge, and machine learning (ML) algorithms. This was accomplished through the application of various MLs, such as K‐nearest neighbor (KNN), random forest (RF), support vector regression (SVR), and Naive Bayes. In this study, flood susceptibility refers to the physical propensity of an area to experience flooding, influenced by geo‐environmental factors, while flood vulnerability captures the socio‐economic and institutional dimensions that determine a community's ability to cope with and recover from flood events. This research first identified critical geo‐environmental factors influencing flood susceptibility and utilized remote sensing to locate areas prone to runoff generation. Flood risk zoning was then implemented using machine learning techniques in Python. To assess flood vulnerability, data were collected from local residents via questionnaires, focusing on economic, infrastructural‐physical, institutional‐policy, and social‐cultural aspects. The flood vulnerability map was created by integrating these survey results with population density data to identify areas where high social exposure coincides with high physical susceptibility. Findings indicated that the combined remote sensing‐SVR model was the most effective for sensitivity classification, identifying sub‐watersheds 2 and 8 in the Sehezar River (a major basin within the study area) as the areas with the highest and lowest flooding susceptibility, respectively, with sub‐watershed 10 in the Dohezar River (another major basin) being the most vulnerable. The estimated values for Mean Absolute Error (0.041), Mean Square Error (0.042), Root Mean Square Error (0.205), and Area Under the Curve (0.980) demonstrated high model accuracy. The Friedman statistical test showed that the average scores for the different dimensions of vulnerability decreased in the order of: economic (0.48), social‐cultural (0.44), infrastructural‐physical (0.34), and institutional‐policy (0.28). Consequently, the economic dimension was prioritized for its highest score. Flood vulnerability mapping revealed that sub‐watersheds 5, 11, 14, and 15, which had higher population densities, were naturally more vulnerable to floods. This finding reflects a direct relationship between population density and flood vulnerability. Overall, this study underscores the urgent need for effective planning and preventive strategies to mitigate flood risks and enhance resilience in the region.

Kaiyuan Hou, Xiaotian Zhang, Junjie Yang et al.

Given the complexity and dynamic nature of short-term load sequence data, coupled with prevalent errors in traditional forecasting methods, this study introduces a novel approach for short-term load forecasting. The method integrates multi-frequency sequence feature analysis and multi-point correction using the FEDformer model. Initially, variational mode decomposition (VMD) technology decomposes the load sequence into multiple subsequences, each exhibiting distinct frequency characteristics. Subsequently, for each frequency band of the load sequence, the LightGBM algorithm quantifies the correlation between the load and various influencing factors. The filtered features are then input into the FEDformer model, providing preliminary short-term and long-term sequence prediction results. Finally, a point-by-point forecasting method based on a tree model generates multi-point load prediction results by training multiple LightGBM models. Throughout the forecasting process, a weighted threshold α is set, and a hybrid weighting method is utilized to combine the forecast results from different models, culminating in the final short-term load forecast results. Validation of the proposed hybrid model was conducted on an actual dataset from a specific area, The results exhibit higher prediction accuracy, affirming the proposed method as a novel and effective approach for short-term load forecasting.

Agenor Manoel da Silva Filho

Uma das mais bem sucedidas obras do campo da História das Ciências no Brasil, “A Matemática no Brasil” conquistou quatro edições ao longo de 30 anos. Um clássico que permanece atual graças a nova edição da Editora Blücher. A presente resenha destaca os pontos mais significativos da obra e suas características textuais e materiais, enfatizando a importância de reedições de trabalhos como este para a difusão do campo. 

И. Н. Карцан, С. А. Нуриев

Машинное обучение включает использование алгоритмов и статистических моделей, которые позволяют компьютерам повысить эффективность выполнения задач на основе опыта, накопленного с помощью данных. При интеграции в бизнес-аналитику алгоритмы машинного обучения анализируют обширные массивы данных, чтобы выявить закономерности, корреляции и выводы, которые могут быть упущены из виду традиционными методами. Машинное обучение революционизирует бизнес-аналитику, снабжая организации передовыми инструментами для обработки больших объемов данных, более точных прогнозов и совершенствования процессов принятия решений. Позволяя компьютерам учиться на данных без необходимости эксплицитного программирования, машинное обучение позволяет компаниям выявлять скрытые тенденции, прогнозировать будущие результаты и автоматизировать сложные задачи с большей точностью. Эта технология повышает эффективность работы и дает предприятиям конкурентное преимущество в более глубоком понимании их данных. В этой статье мы рассмотрим роль машинного обучения в бизнес-аналитике, сосредоточив внимание на его практических приложениях, ключевых преимуществах, проблемах и преобразующем влиянии, которое ожидается от него во всех отраслях мира в ближайшие годы. По мере развития технологий, машинное обучение будет играть все более важную роль в формировании будущего бизнеса, предоставляя новые возможности для инноваций, эффективности и роста.

Katrina Reynen, Penny Round, Pearl Subban

Gifted young people from disadvantaged backgrounds are often overlooked for gifted programs due to their relatively lower financial, social and cultural capital. One promising area of research is the reflexive analysis of the enablers and barriers for these students once they have successfully progressed to university. This scoping review examines current research into factors that hinder or enable gifted students from disadvantaged backgrounds to develop their latent talent and complete higher education. It drew on four education databases and analysed ten peer reviewed studies at the junction of giftedness; disadvantage; and young adults. The conclusion is that there is little current research on gifted, disadvantaged, young adult learners. This paper offers a new conceptualization of talent development through a lens of poverty.

Can Ding, Yiyuan Zhou, Guang Pu et al.

To achieve carbon neutrality in electricity, measures such as increasing the share of renewable energy sources such as wind power and achieving more accurate and faster wind power forecasting, and low carbon retrofitting of thermal power units are all important to achieve the goal. Firstly, the GRU prediction algorithm was used to forecast wind power, which performed well in terms of prediction accuracy and model training speed. Then, we continue to fully utilize the source-side low-carbon characteristics by installing flue gas bypass systems and liquid storage in carbon capture plants to form an integrated carbon capture plant operation, thereby reducing carbon emissions and the proportion of abandoned wind. Secondly, a three-stage low carbon economic dispatch model is established to reduce wind abandonment by combining wind power forecasts on different time scales. Finally, a case study was carried out using a modified IEEE-39 node system. The results show that the proposed three-stage integrated dispatching method can make full use of wind energy and achieve the goal of economic dispatching of the power system.

Jyh-An Lee** Rita Matulionyte*

In Thaler v The Comptroller-General of Patents, Designs and Trade Marks (DABUS), Smith J. held that an AI owner can possibly claim patent ownership over an AI-generated invention based on their ownership and control of the AI system. This AI-owner approach reveals a new option to allocate property rights over AI-generated output. While this judgment was primarily about inventorship and ownership of AI-generated invention in patent law, it has important implications for copyright law. After analysing the weaknesses of applying existing judicial approaches to copyright ownership of AI-generated works, this paper examines whether the AI-owner approach is a better option for determining copyright ownership of AI-generated works. The paper argues that while contracts can be used to work around the AI-owner approach in scenarios where users want to commercially exploit the outputs, this approach still provides more certainty and less transaction costs for relevant parties than other approaches proposed so far.

Luis Viveros-Almeida, Iván Realpe-Cabrera

El presente trabajo es una investigación de tipo descriptivo-correlacional, con enfoque cuantitativo, que tiene como objetivo determinar si existe relación entre el tipo de cambio y el flujo de personas, vehículos de carga y livianos (Tulcán e Ipiales), durante el periodo de enero-marzo de 2019. Los principales resultados sugieren que existe una relación baja-moderada entre las tasas de cambio y el flujo de personas, vehículos de carga y livianos. La relación más significativa se dio entre el tipo de cambio y la salida de camiones pequeños (0,327).

Rita Marnoto

O presente número de Biblos. Revista da Faculdade de Letras da Universidade de Coimbra, que é o 7.º da 3.ª série, apresenta um conjunto de contributos dedicado ao tema Dissidências. Compreendendo a dissidência um larguíssimo espectro de atitudes, opiniões e comportamentos, vinculado a um desacordo de ordem conceptual, emocional ou de desempenho relativamente a uma norma estabelecida, os confrontos que dela decorrem propulsionam uma dinâmica que é tão instigante, pela acuidade das questões colocadas, como complexa, pela pluralidade dialética dos fatores envolvidos.

Shelley Miller

I create murals that look like azulejos, depicting caravels and many decorative features seen in traditional azulejos, but my murals are made entirely of sugar. I make the sugar tiles and hand paint them with edible inks. I am interested in the azulejo, specifically with imagery of ships, as a symbol of colonial power and of national pride (the Nation of Portugal), but only for the means to subvert this pride. I developed this work in Brazil, addressing the country’s history of colonization and the slave trade that supported Portugal’s sugar empire. I continue to use the blue tile reference, even outside the context of Brazil, because I want to reference the general construct of colonization and slavery, showing how oppression has found new forms. I install my ephemeral murals on city walls, where they wash away, fade, crumble and decay, animating a more realistic version of history.

Sara Sánchez, Patricia Coronado, Antonio Argüelles et al.

This work aims to study the behaviour against delamination under static modes I and II of adhesive bonded joints in unidirectional carbon-fibre/epoxy prepreg. The double cantilever beam and end notched flexure tests were used to characterize the influence on the interlaminar fracture toughness under pure mode I and pure mode II, respectively. Three structural adhesives from different manufacturers were tested in comparison with the original material, that is, without adhesive bonded. The fracture surfaces were also examined for each joint system.

Charitie V. Hyman

Book review of Michael T. Westrate. Living Soviet in Ukraine from Stalin to Maidan: Under the Falling Red Star in Kharkiv. Rowman & Littlefield, 2016. xx, 232 pp. Illustrations. Appendices. Bibliography. Index. $85.00, cloth.

Frolov Vasiliy Vladimirovich

The article examines and analyses the image of Great Britain which at the beginning of the last century was formed by Russian journalists on the pages of the pro-government periodical “The Chronicle of the War against Japan”. Within this work the British Empire appears to be one of Russia's main competitors in the struggle for the leading positions in the international arena. This research analyses more than 60 issues of this periodical. In conclusion, in Russia at the beginning of the 20th century periodicals had a special role in informational impact on people's minds.

M. Maher

Nick Taylor, Gerri Maxwell

There is a friendly conflict between field broadcast journalists and broadcast journalism instructors. The conflict centers on the development of best instructional practices for the student journalists. This qualitative study is an attempt to bridge the gap between field journalists and journalism instructors. To accomplish this goal, first, a review of the academic literature was conducted to establish a research base. Then, interviews were conducted with field broadcast journalists ( n = 4) to answer the following guiding research question: According to field broadcast journalists, what knowledge, skills, and training are required when transitioning from MC student into professional broadcast journalist? This study presents the findings of these interviews. Areas of focus are technology, internships, and student motivation. The study concludes with a discussion of academic advisory groups. However, the ultimate goal of the study is to get the two groups talking rather than scowling at each other from across the news desk.

Olimpia Niglio

The paper analyzes the development of the first experiences of the sixteenth century cultural policy in Italy until the beginning of the twenty-first century with the institutional reform initiated by the Minister Dario Franceschini. In the pre-unification State it has been many important contributions of several local rulers who imposed conservation policies to prevent the dispersal of works of art. After the unification of Italy (1861) the laws of protection of the national heritage have helped to initiate the first important initiatives that have developed in practice only at the end of the twentieth century. Great institutional innovations and regulatory activated in the twenty-first century and of which this paper provides some important insights and deepening.

C. Miller, Dustin D. Belyea, B. Kirby

V. Rodríguez-Doncel, S. Villata, Asunción Gómez-Pérez

M. C. Azemin, Dinesh K. Kumar, T. Wong et al.

I. Batalin, G. Vilkovisky