62 research outputs found
sj-docx-1-pib-10.1177_09544054231189763 – Supplemental material for Influences of thermal crown and wear crown of work roll on strip shape in tandem cold rolling using a novel 3D multi-pass FE model
No full textSupplemental material, sj-docx-1-pib-10.1177_09544054231189763 for Influences of thermal crown and wear crown of work roll on strip shape in tandem cold rolling using a novel 3D multi-pass FE model by Lianjie Li, Haibo Xie, Tao Zhang, Di Pan, Tianwu Liu, Xingsheng Li, Xu Liu, Enrui Wang, Hongqiang Liu, Li Sun and Zhengyi Jiang in Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture</p
Социальные последствия COVID-2019 в Китае
No full textThe article presents the results of a descriptive and analytical study of scientific works by Chinese authors on the social consequences of COVID-2019 in China. Using the methods of content analysis, classification and systematization, the author of the article identified the role of the COVID-2019 pandemic in Chinese society, identified the main directions for studying its impact in sociological science. As a result of the study, it was revealed that the social impact of the COVID-2019 pandemic is reduced to the formation of a new type of risk society, changes in the social spheres of education and healthcare, the socio-psychological state of Chinese society, the formation of new social trends in consumption, the aggravation of the unemployment problem in the country, the transformation values of student youth, as well as an increase in the gap in the social well-being of rural and urban areas. The identified social consequences of COVID-2019 serve as the basis for the subsequent development of a social policy for the socio-economic recovery of the country in the post-pandemic period.В статье представлены результаты описательно-аналитического исследования научных работ китайских авторов, посвященных социальным последствиям COVID-2019 в Китае. Используя методы контент-анализа, классификации и систематизации, автор статьи выявил роль пандемии COVID-2019 в китайском обществе, определил основные направления исследования ее влияния в социологической науке. В результате исследования было выявлено, что социальное влияние пандемии COVID-2019 сводится к формированию общества рисков нового типа, изменениям в социальных сферах образования и здравоохранения, социально-психическом состоянии китайского общества, формированию новых социальных трендов в потреблении, обострению проблемы безработицы в стране, трансформации ценностей студенческой молодежи, а также увеличению разрыва в социальном благополучии сельских и городских территорий. Выявленные социальные последствия COVID-2019 выступают основой для последующей разработки социальной политики по социально-экономическому восстановлению страны в постпандемический период
HexaDEVenture: Proyecto para el aprendizaje en hexagonal
No full textTreball de fi de grau - 2024-2025Aquest projecte se centra en el desenvolupament d’una aplicació backend de complexitat
moderada amb arquitectura hexagonal, utilitzant Spring Boot com a framework i amb un
enfocament basat en Test-Driven Development. Per assolir aquesta complexitat, es tria
com a temàtica un videojoc d’estratègia per torns. Com a complement, es desenvolupa
una interfície gràfica en Unity per verificar el correcte funcionament del backend
Desarrollo de mecánicas de juegos de factoría con “ECS for Unity”
No full textTreball de fi de grau - 2024-2025Aquest projecte se centrarà en el desenvolupament de mecàniques de jocs de
factoria utilitzant Unity clàssic i Unity ECS, que posteriorment es compararan els
dos resultats per analitzar els seus rendiments. Per a això s’investigaran i es
desenvoluparan les diferents mecàniques d'aquest gènere, que seran
analitzades centrant-se en el rendiment, la facilitat d'ús i la viabilitat
d'optimitzacions existents, examinant també el possible ús del paral·lelisme en
aquest tipus de jocs
Artificial intelligence technology for the ethical issues research from a Marxist perspective under deep learning
No full textAbstract Against the backdrop of artificial intelligence (AI) deep learning–driven recommendation systems increasingly shaping consumer decision-making, this study examines how algorithms may inadvertently reinforce consumer alienation and inequity from a Marxist critical perspective. To systematically uncover the mechanisms underlying the divergence between user preference representation and situational demand, this study integrates graph neural networks (GNNs) with a context-adaptive Transformer architecture, constructing a multidimensional ethical analysis framework using the MovieLens and LDOS-CoMoDa datasets. Using the million-scale user–movie interaction data from MovieLens, GNNs model the complex user–item relational network, capturing group preference biases inherent in collaborative filtering (CF). Simultaneously, leveraging the twelve fine-grained situational dimensions unique to the LDOS-CoMoDa dataset, a context-aware Transformer model analyzes how dynamic situational factors modulate consumer decision-making. By quantifying the mismatch between “exchange value” (predicted ratings) and “use value” (actual situational needs) in recommendation outputs, a Consumer Alienation Index (CAI) is constructed, and adversarial fairness constraints are applied to optimize model parameters. Experimental results show that the proposed model, through the integration of GNNs and context-aware Transformer, reduces CAI by 29.9%. Additional experiments indicate that neglecting “peer” contextual information leads to a 22.3% mismatch in recommendation value, while the CAI variance for low-activity user groups decreases from 0.041 to 0.012. These findings highlight the critical role of situational embedding and fairness constraints in mitigating algorithmic bias. Deep learning–based recommendation systems must incorporate contextual value embeddings and algorithmic constraints grounded in Marxist ethical principles. Doing so can break the cycle of “false demand” reproduction and provide theoretical and methodological support for developing trustworthy AI that fosters holistic human development
Grid integration of wind turbines
No full textIn today’s world, energy demand has increased tremendously and hence as a result
there is an increase in the demand of fuel for the power plants. However this not only
creates the problem of price hike in the fuel, it also causes the environmental
pollution from the burning of the fuels. These environmental problems have always
been a concern in many countries worldwide and hence people have been seeking for
environmentally clean alternative energy resources.
There are abundant natural resources around the world today and some of these
energy resources can be tapped on as a source of electrical power. Wind energy is one
of these sources of energy and is being developed world-wide for many years. The
wind energy industry is rapidly rising with a worldwide wind capacity of 237,016
Megawatt and the wind power could supply up to an estimate of 12% of electricity
worldwide by 2020.
In Singapore, Economic Development Board (EDB) had pumped in S$350million to
support the growth in clean energy industry in 2007. This industry has also attracted
large energy firms to Singapore and one of them is Spanish wind giant Gamesa. In
addition the Government has encouraged the development of renewable energy (RE)
by building R&D infrastructure and test-bedding platforms and launching energy
R&D programmes. With the advancement of the wind energy industry, it can not
only generate revenue but also create more jobs for the people.Bachelor of Engineerin
Влияние пандемии COVID-2019 на социальное потребление в Китае
No full textThe new coronavirus infection COVID-2019 has become one of the main social upheavals of our time, having a multifaceted impact on society. This article focuses on studying the impact of the pandemic on the transformation of consumption in Chinese society. Based on the analysis of scientific works and the results of empirical studies among students, rural and urban population, it is concluded that in each social group there have been changes in consumption caused by both a reduction in income and a transformation of social values. Changes in consumption have resulted in increased spending on food, health care, while spending on services, including accommodation, transport and communications, has declined significantly. In the context of the pandemic, there has been a change in the perception of the importance of health in the creation of people, which has led to an increase in the consumption of health services and health products. In the process of consumption, the Chinese sought first of all to satisfy the physiological needs and the needs for safety. In the context of the pandemic, there was an uncertainty in the income of the population, for some social groups, among which the rural population should be singled out, a new infection and the corresponding restrictive measures completely led to a significant decrease in income. This led to the development of the preventive savings motive. This was most pronounced in rural areas than in urban areas. While among the residents of Chinese cities, there was a more pronounced increase in the trend of rationalization of consumption. According to the results of the study, it was noted that the impact of the pandemic on social consumption in China is expressed in a decrease in the willingness of Chinese people to consume, the development of a precautionary savings motive, the formation of a trend towards rational consumption, a change in consumer habits, and an increase in online food purchases.Новая коронавирусная инфекция COVID-2019 стала одним из главных социальных потрясений современности, оказав многоаспектное влияние на общество. В данной статье уделяется наибольшее внимание изучению влияния пандемии на трансформацию потребления в китайском обществе. На основе анализа научных работ и результатов эмпирических исследований среди студенческой молодежи, сельского и городского населения, сделан вывод, что в каждой социальной группе произошли изменения в потреблении, вызванные как сокращением доходов, так и трансформацией социальных ценностей. Изменения потребления выразились в росте расходов на продукты питания, здравоохранение, при этом расходы на услуги, включая проживание, транспорт и связь, существенно уменьшились. В условиях пандемии в создании людей произошло изменение в восприятии важности здоровья, что привело к росту потребления услуг здравоохранения и товаров для здоровья. В процессе потребления китайцы стремились прежде всего удовлетворить физиологические потребности и потребности в безопасности. В условиях пандемии возникла неопределенность доходов населения, для некоторых социальных групп, среди которых следует выделить сельское население, новая инфекция и соответствующие ограничительные меры и вовсе привели к существенному снижению объема дохода. Это обусловило развитие мотива превентивных сбережений. Наиболее сильно это проявилось в сельской местности, чем в городской. В то время как среди жителей китайских городов был отмечен более явный рост тенденции рационализации потребления.По результатам исследования отмечено, что влияние пандемии на социальное потребление в Китае выражается в снижении готовности жителей Китая к потреблению, развитии мотива предупреждающего сбережения, формировании тенденции к рациональному потреблению, изменении в потребительских привычках, росте онлайн-покупок продуктов питания
Recent Advances and Applications of Machine Learning in Experimental Solid Mechanics: A Review
No full textFor many decades, experimental solid mechanics has played a crucial role in
characterizing and understanding the mechanical properties of natural and novel
materials. Recent advances in machine learning (ML) provide new opportunities
for the field, including experimental design, data analysis, uncertainty
quantification, and inverse problems. As the number of papers published in
recent years in this emerging field is exploding, it is timely to conduct a
comprehensive and up-to-date review of recent ML applications in experimental
solid mechanics. Here, we first provide an overview of common ML algorithms and
terminologies that are pertinent to this review, with emphasis placed on
physics-informed and physics-based ML methods. Then, we provide thorough
coverage of recent ML applications in traditional and emerging areas of
experimental mechanics, including fracture mechanics, biomechanics, nano- and
micro-mechanics, architected materials, and 2D material. Finally, we highlight
some current challenges of applying ML to multi-modality and multi-fidelity
experimental datasets and propose several future research directions. This
review aims to provide valuable insights into the use of ML methods as well as
a variety of examples for researchers in solid mechanics to integrate into
their experiments.Comment: 93 pages, 10 figure
An strategy in metamorphosis: achievements, obstacles and perspectives of Chinese reform
No full textGracias a los ingentes esfuerzos de la apertura económica
en favor de la modernización, estrategia
que China ha adoptado en las tres últimas décadas,
son sensacionales los éxitos en el incremento
de su PIB y, consecuentemente, el ascenso de su
importancia internacional. Sin embargo, el avance
económico tiene enfrente graves dificultades de
índole socioeconómica o ecológica, y resulta dudoso
que pueda continuar, caso de no erradicar, por
medio de una seria reforma, su origen en el sistema
institucional. Hay gran expectación para ver
que China vaya participando, junto con EEUU,
en el protagonismo mundial, pero eso vendrá en
función de su redefinición política primero en los
asuntos domésticos.
Este escrito tiene la finalidad de analizar la
marcha de la reforma china, reseñando su trayectoria
poco común y haciendo comentarios de sus
problemas candentes actuales y de la respuesta
del Partido Comunista en el poder.Thanks to the great efforts of economic openess
towards modernization –this strategy has been
adopted by China during three last decades–,
achievements relating growing of its gross national
product have been amazing, and, in consequence,
growing of its international presence. However,
economical improvements confront great socioeoonomical
and ecological difficulties, what arise
the question of its uncertain future, unless their
origin in the institutional system is eradicated
through a deep reform. There is great expectations
to see if China will continue to play, together
with the United States, its leading role in the international
arena. This will be conditioned by a
political redefinition of its national issues.
This paper aims to analize the progress of
Chinese reform, pointing out its uncommon line
until today, as well as introducing its present burning
problems, and all this faced with the reaction
of the Comunist Party
A Lightweight Image-Based Decision Support Model for Marine Cylinder Lubrication Based on CNN-ViT Fusion
No full textUnder the context of “Energy Conservation and Emission Reduction,” low-sulfur fuel has become widely adopted in maritime operations, posing significant challenges to cylinder lubrication systems. Traditional oil injection strategies, heavily reliant on manual experience, suffer from instability and high costs. To address this, a lightweight image retrieval model for cylinder lubrication is proposed, leveraging deep learning and computer vision to support oiling decisions based on visual features. The model comprises three components: a backbone network, a feature enhancement module, and a similarity retrieval module. Specifically, EfficientNetB0 serves as the backbone for efficient feature extraction under low computational overhead. MobileViT Blocks are integrated to combine local feature perception of Convolutional Neural Networks (CNNs) with the global modeling capacity of Transformers. To further improve receptive field and multi-scale representation, Receptive Field Blocks (RFB) are introduced between the components. Additionally, the Convolutional Block Attention Module (CBAM) attention mechanism enhances focus on salient regions, improving feature discrimination. A high-quality image dataset was constructed using WINNING’s large bulk carriers under various sea conditions. The experimental results demonstrate that the EfficientNetB0 + RFB + MobileViT + CBAM model achieves excellent performance with minimal computational cost: 99.71% Precision, 99.69% Recall, and 99.70% F1-score—improvements of 11.81%, 15.36%, and 13.62%, respectively, over the baseline EfficientNetB0. With only a 0.3 GFLOP and 8.3 MB increase in model size, the approach balances accuracy and inference efficiency. The model also demonstrates good robustness and application stability in real-world ship testing, with potential for further adoption in the field of intelligent ship maintenance
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