Point cloud processing is very challenging, as the diverse shapes formed by irregular points are often indistinguishable. A thorough grasp of the elusive shape requires sufficiently contextual semantic information, yet few works devote to this. Here we propose DensePoint, a general architecture to learn densely contextual representation for point cloud processing. Technically, it extends regular grid CNN to irregular point configuration by generalizing a convolution operator, which holds the permutation invariance of points, and achieves efficient inductive learning of local patterns. Architecturally, it finds inspiration from dense connection mode, to repeatedly aggregate multi-level and multi-scale semantics in a deep hierarchy. As a result, densely contextual information along with rich semantics, can be acquired by DensePoint in an organic manner, making it highly effective. Extensive experiments on challenging benchmarks across four tasks, as well as thorough model analysis, verify DensePoint achieves the state of the arts.
CNNs with strong learning abilities are widely chosen to resolve super-resolution problem. However, CNNs depend on deeper network architectures to improve performance of image super-resolution, which may increase computational cost in general. In this paper, we present an enhanced super-resolution group CNN (ESRGCNN) with a shallow architecture by fully fusing deep and wide channel features to extract more accurate low-frequency information in terms of correlations of different channels in single image super-resolution (SISR). Also, a signal enhancement operation in the ESRGCNN is useful to inherit more long-distance contextual information for resolving long-term dependency. An adaptive up-sampling operation is gathered into a CNN to obtain an image super-resolution model with low-resolution images of different sizes. Extensive experiments report that our ESRGCNN surpasses the state-of-the-arts in terms of SISR performance, complexity, execution speed, image quality evaluation and visual effect in SISR. Code is found at https://github.com/hellloxiaotian/ESRGCNN.
En el contexto de la educación artística contemporánea, la práctica artística no solo constituye un medio de expresión, sino también una vía de investigación y una forma de conocimiento. La figura animal, como componente esencial del lenguaje visual, ha ocupado históricamente un lugar central en la creación artística. Desde su papel como tótem que simboliza la naturaleza y lo divino, ha evolucionado hasta convertirse en un medio para reflejar estructuras sociales, experiencias individuales y la conciencia educativa. En la pintura moderna y contemporánea, los significados culturales y las estrategias visuales asociadas a las imágenes animales han superado ampliamente la mera representación, convirtiéndose en un lenguaje narrativo visual con potencial crítico y constructivo.Este estudio se basa en la práctica pictórica con el objetivo de explorar cómo la imagen animal puede convertirse en un canal para la imaginación educativa y la reflexión social. A través del análisis del lenguaje visual y los sistemas simbólicos presentes en las obras de artistas como Goya, Antonio Saura, Picasso, Francis Bacon y Anselm Kiefer, se identifican características formales relacionadas con las manchas y los residuos visuales, los cuales se toman como punto de partida para la creación personal. Sobre esta base, se construye un sistema educativo ficticio centrado en figuras animales específicas —el Bestiario Educativo— que combina creación artística, construcción de personajes y crítica pedagógica. Esta propuesta intenta responder, mediante recursos visuales, a los problemas estructurales de la educación contemporánea y proponer una posibilidad educativa diversa y orientada al futuro.En esta investigación, la pintura no solo actúa como medio de expresión visual, sino también como herramienta de indagación práctica. A diferencia de las metodologías dominadas por la fotografía en la investigación educativa artística, la pintura ofrece una dimensión más procesual, emocional y generativa. A través de la transformación visual de la mancha —desde lo figurativo hacia lo abstracto— se ha desarrollado un método creativo que incluye la construcción de personajes educativos, el desarrollo de sistemas narrativos y la proyección de imaginarios futuros, convirtiendo a la pintura en una construcción educativa en sí misma, más allá del contenido didáctico.
: Modern AI applications have caused broad societal implications across key public domains. While previous research primarily focuses on individual user perspectives regarding AI systems, this study expands our understanding to encompass general public perceptions. Through a survey ( N = 1506), we examined public trust across various tasks within education, healthcare, and creative arts domains. The results show that participants vary in their trust across domains. Notably, AI systems’ abilities were evaluated higher than their benevolence across all domains. Demographic traits had less influence on trust in AI abilities and benevolence compared to technology-related factors. Specifically, participants with greater technological competence, AI familiarity, and knowledge viewed AI as more capable in all domains. These participants also perceived greater systems’ benevolence in healthcare and creative arts but not in education. We discuss the importance of considering public trust and its determinants in AI adoption.
The burgeoning capacity of artificial intelligence (AI) to generate artworks has ignited substantial interdisciplinary interest. However, the absence of a shared conceptual framework has hitherto impeded effective communication and collaboration among cognitive science, computer science, and art theory. This study addresses this lacuna through a comprehensive literature review by developing a transdisciplinary definition of an AI-generated artwork. It is proposed that an AI-generated artwork constitutes the confluence of three essential elements: (1) an autonomous AI-production of a new and surprising idea or artifact, (2) which passes an internal evaluation mechanism embedded in the very same AI, and (3) is considered a candidate of appreciation by a human audience. This definition provides a unified conceptual foundation to facilitate interdisciplinary research and deepen understanding of the nature of AI-generated art. Subsequent research should explore the applicability of this definition to diverse forms of AI-generated artworks and evaluate its implications for artistic practices.
Nel 1893, alcuni affreschi di Giambattista Tiepolo mutano supporto, passando dal muro alla tela, e collocazione, viaggiando dall’Italia alla Francia. Tutti trasportati su tela dal restauratore Giuseppe Steffanoni, sono oggi tra le opere più celebri del museo Jacquemart-André a Parigi. Sono quelli del salone di villa Contarini a Mira e due soffitti da Palazzo Revedin a San Polo che Édouard André acquista rispettivamente dal proprietario della villa dei Leoni, con la mediazione di Dino Barozzi, e dagli antiquari milanesi Grandi.
Accurate, global Potential Energy Surfaces (PES) expressed in sum-of-products (SOP) form are a prerequisite for efficient high-dimensional quantum dynamics simulations using the MCTDH method. This work introduces a methodology for constructing such surfaces by combining hierarchical sparse grid sampling with a single-layer neural network using sinusoidal activation functions (sinNN). The sparse grid strategy provides a rigorous, unbiased discretization of the configuration space, enabling systematic improvability of the PES fidelity, where accuracy is strictly controlled by the refinement level, while successfully mitigating the curse of dimensionality. The sinNN fitting approach leverages a trigonometric factorization identity to maintain a compact SOP form, offering superior numerical stability compared to standard exponential-based networks (expNN) for the systems investigated. The flexibility of the sparse grid methodology is demonstrated through a dual-reference strategy, where grids centered on distinct isomers are merged to eliminate topological bias. This optimized sampling yields a global PES that reproduces fundamental vibrational transition energies for both trans- and cis-HONO with spectroscopic precision (< 2.5 cm-1) and high data efficiency. Finally, the methodology is applied to fit potential energies computed via the AI-enhanced quantum mechanical method AIQM2. The resulting AIQM2-based PES for HONO reproduces experimental vibrational frequencies with a root mean square deviation of about 16 cm-1, a performance comparable to high-level ab initio methods. The robustness of the approach is further confirmed on larger molecules, formic acid (HCOOH) and carbamic acid (H2NCOOH), establishing the combination of sparse grid sampling and sinNN fitting as a powerful, automated tool for generating topologically sound, spectroscopic-quality potential energy surfaces.
As a part of liberal arts education, ESG should provide college students with the knowledge and practical opportunities necessary for participation and coexistence with people and as citizens of the community. However, in order for the goals of ESG education to be realized, particularly when it comes to participation and coexistence, ESG content must be organized first. In order to construct ESG content, this study analyzed the content validity of 4 liberal arts professors and the subjective suitability of the ESG content composition among 164 college students. Five topics were selected for their ESG content that is suitable for general education in the environmental field: climate change and carbon emissions, waste management, energy efficiency, environmental regulations, and biodiversity. In the social sector, four topics were selected: community relations, data protection, human rights⋅gender⋅diversity, and worker safety. In the governance area, three areas were extracted: corporate ethics, bribery and anti-corruption, and fair competition. In the future, ESG liberal arts education needs to be approached with content related to 12 topics. In addition, ESG in liberal arts education should be approached by integrating the three areas rather than providing a curriculum for each of the E(environment), S(society), and G(governance) areas, and should be conducted in such a way that it that integrates ESG theory and practice cases.
Tomando como caso de estudo o projeto NEVE INSULAR, pretendo mostrar como as práticas relacionais de arte e design podem contribuir para a criatividade social e para a sustentabilidade no sentido em que vão ao arrepio da dicotomia entre inovação/tradição. Produto da narrativa histórica ocidental, a dicotomia tradição/inovação equaciona a modernidade ocidental como o telos universal e, concomitantemente, tudo o que resiste à sua conversão – os diferentes saberes ou culturas - como “não-moderno”, “tradicional”. Dentro desta narrativa, o “moderno” é concebido como a aceleração da mudança e o avanço no tempo através do anterior, e o “tradicional” como o estático, fixo no tempo. Neste contexto, a dicotomia tradição/inovação fomenta uma visão atomista do indivíduo, separado da natureza e do contexto cultural, contribuindo para a naturalização das diferenças sociais e para uma visão antropocêntrica do mundo, estando, assim, no cerne da exploração das pessoas e da natureza.
Defendo aqui que a mudança e a inovação, não implicam a ultrapassagem do tradicional pelo moderno mas que, pelo contrário, ambos constituem um fluxo que alimenta o património cultural material e imaterial enquanto parte de um processo político de reinterpretações e de criação de significado histórico.
معصومه سادات نظم, امید سپهری راد, رجبعلی وثوقی مطلق
بررسی جایگاه صنعت پارچهبافی در ایران و تحول و تکامل این هنر، در زمینۀ طرح، نقش و سبک هنری آن، پس از یک دورۀ رکود همزمان با حمله مغول، موردتوجه میباشد. عوامل تأثیرگذار بر این تحول، گسترش و توسعه مراکز و کارگاههای هنری، حضور صنعتگران خلاق از یکسو و سیاستهای حاکمان از سوی دیگر، میباشد؛ بنابراین عوامل ایجاد تحول در صنعت پارچهبافی عصر ایلخانی و تیموری بسیار مهم و دارای اهمیت است. این مقاله بر آن است با استفاده از روش تحقیق تاریخی و بهصورت توصیفی و تحلیلی انجام شده است. سؤال پژوهش این است که سیاستهای حاکمان چه تأثیری در تکامل صنعت پارچهبافی عصر ایلخانی و تیموری داشته و چه تحولی در طرح و نقش و سبک هنری ایجاد کرده است؟ از نتایج بهدستآمده این پژوهش میتوان به تکامل و تحول در صنعت پارچهبافی بهویژه در زمینههای تولید انواع پارچه، طرح و نقش و تکنیکهای متعدد، برجستهکاری، مصورسازی پارچه در مراکز و کارگاههای پارچهبافی تحت حمایت حاکمان، و در نهایت پدیدآمدن سبک جدید هنری تلفیقی سنتی ایرانی و چینی میباشد، اشاره کرد.اهداف پژوهش:بررسی تأثیر سیاستهای حکام ایلخانی و تیموری بر پارچهبافی.بررسی تحولات پارچهبافی ایلخانی و تیموری از نظر و نقش و سبک هنری.سؤالات پژوهش:سیاستهای حکام ایلخانی و تیموری چه تأثیری بر صنعت پارچهبافی داشت؟در دورۀ ایلخانی و تیموری چه تحولی در نقش و سبک هنری پارچهها ایجاد شد؟
The goal of the current study is to determine whether online liberal arts English classes can improve students' cultural awareness and interest. The online English learning environment has drawn a lot of attention from EFL educators as a result of the COVID-19 epidemic. There are several factors that have an impact on the culture aspects of EFL learning. Yet, there is scant research showing how certain features of culture learning can be effectively applied in the Korean EFL context. This study investigates the links between English language proficiency, pre-interest, and interactions with instructors to determine whether aspects of online liberal arts English classes have a favorable impact on students' interest in foreign cultures. Participants came from 84 Listening, Reading, Speaking I and II classes, totaling 1,421. With the use of Microsoft Teams, the classes were delivered online for 15 weeks. After that, a survey was used to measure students’ pre-interest in English language learning, language achievement, interactions with professors, and cultural understanding. The results of that survey—which used the Naver Office Form—were evaluated using SPSS version 26 to examine any relevant statistics. The findings identified three factors that contribute to students' cultural understanding and interest in online liberal arts English classes. Among these factors, interactions with instructors had the most significant impact, followed by pre-interest and language proficiency. The data suggests that interactions with professors during online EFL classes play a more critical role in promoting students' understanding and interest in other cultures than factors such as English language achievement and pre-interest in English. The effect was particularly pronounced in speaking I and II classes. Therefore, it is crucial for educators to utilize various methods and technologies to encourage interactions between students and professors in online EFL classes. This study makes a significant contribution to the literature by analyzing the specific factors that influence students' cultural understanding and interest and highlighting the critical role of interactions with professors in online liberal arts English classes.
This study aims to improve the efficiency of learning by analyzing program development plans and field practice effects through college students' field practice projects in culture and arts education with the community based on the subject of ‘Understanding and Practicing Fields of Culture and Arts Education’ in liberal arts education at universities. It aims to elevate The subjects of the study were six students who took the liberal arts course of ‘Understanding and Practice in the Field of Culture and Arts Education’ at a four-year university located in S city. Class operation was conducted for 15 weeks, understanding and exploring the field of cultural arts education, preparation and planning for field practice, and field practice project. As for the research method, qualitative research was conducted through individual interviews and focus group interviews (FGI). As a result of the study, first, it confirmed that self-confidence was improved through the application of programs for field practice and case analysis in cultural arts education with the local community. Second, through cultural arts education field practice project activities, the study confirmed that students found their identity in the process of interaction and developed character. Third, it served as an opportunity to imprint the importance of arts and culture education, and helped them to have a vision for career and employment decision-making in the field of culture and arts education. The implication of this study is that college students were motivated to practice cultivating their character and instilling confidence in the development of cultural and arts programs. In addition, awareness of cultural arts education with the local community as a liberal arts education has increased, and interest in career and employment in the field of cultural arts education has increased. Therefore, it is considered that ‘understanding and practice of cultural arts education field’ in cultural arts education with the local community will be helpful as basic data for operating job competency liberal arts courses.
KOUIDER MOHAMMED RIDHA, IDIOU NESRINE, BENATIA FATAH
In this article, we introduce adaptive estimators for parameters of the (GPD) Generalized Pareto Distribution under censored data via the KIB-estimator. The KIB-estimator is based on the Maximum Likelihood Estimates (MLE) by the exceedances over the threshold t under random censoring which was developed by [1]. Hence, it was proved that the KIB-estimator is Maximum Likelihood (ML) estimator with the uncensored case. We use the standardized MLE based on the exceedances on the uncensored situation which converge to a centered bivariate normal distribution. Whose found by [2] to standardized our adaptive KIB estimator of the GPD parameters under random censorship. As an application, we establish the asymptotic normality of an estimator of the excess-of- loss reinsurance premium for heavy-tailed distribution, through the adapted KIB estimator of GPD under censored data.
Rileggendo gli scritti di Joris Karl Huysmans, autore poliedrico e assai sensibile al mondo dell’arte, l’articolo indaga i suoi interventi, numerosi quantitativamente e specifici qualitativamente, dedicati ai “primitivi” fiamminghi. Il tema dei “primitivi”, sia riguardo al mondo nordico sia in senso generale, è da tempo oggetto di ampio interesse storiografico. Ma Huysmans dimostra un’attenzione ed una qualità specifica assai precoce, in anticipo sul grande dibattito novecentesco, che esula da una generica rivisitazione letteraria, presente invece in altri autori e che fa di lui una moderna figura di critico d’arte, attento a problemi stilistici, attributivi e qualitativi.
The paper focuses on Joris Karl Huysmans, the famous author and art critic and as is well know, passionate about Moreau and Redon. In addition to this interest, many pages of his novels are dedicated to a very interesting topic: the Flamish Primitives Painters. From a general point of view, their fortune over the centuries has been established from quite a long time. But Huysmans, unlike most writers, exhibits a specific competence and can be considered as a true art critic, focused on matter of style, quality and connoisseurship.
A new class of tools, colloquially called generative AI, can produce high-quality artistic media for visual arts, concept art, music, fiction, literature, video, and animation. The generative capabilities of these tools are likely to fundamentally alter the creative processes by which creators formulate ideas and put them into production. As creativity is reimagined, so too may be many sectors of society. Understanding the impact of generative AI - and making policy decisions around it - requires new interdisciplinary scientific inquiry into culture, economics, law, algorithms, and the interaction of technology and creativity. We argue that generative AI is not the harbinger of art's demise, but rather is a new medium with its own distinct affordances. In this vein, we consider the impacts of this new medium on creators across four themes: aesthetics and culture, legal questions of ownership and credit, the future of creative work, and impacts on the contemporary media ecosystem. Across these themes, we highlight key research questions and directions to inform policy and beneficial uses of the technology.
This study was conducted with the aim of comprehensively examining the research results of liberal arts education in Korea and deriving research tasks to be implemented for the revitalization of liberal arts education in the future. To this end, a total of 1,491 papers from 2011 to 2021(all of which used“liberal arts”as their theme) were used for analysis and were analyzed by an analysis framework prepared by a researcher, The research results of liberal arts education are as follows: Liberal arts education research has grown significantly over the past 10 years, and the Content Method(63.3%) has been studied the most as a research topic. Among these content methods, 612 Basic Education studies (54.2%) ranked the highest in terms of topics studied, followed by 546 in Communication Education (89.2%) and 37 in Cognitive Education(6.0%). The most common topic of study concerning the subject of literacy education was 149 in Physical Experiences (48.4%), followed by Personality 86 (27.9%) and Career 21 (6.8%). The most frequent research regarding support operation was Quality Control with 358 (67.8%), followed by 143 (27.1%) in Teaching and Learning. In order for liberal arts education research to develop further, continuous joint research activities, with various academic societies and associations in the field of liberal arts education, are required. In addition, follow-up studies involving various topics, such as research on new topics of liberal arts education pertaining to character and career, research on the professors themselves teaching liberal arts education, and performance management research to review the effectiveness of liberal arts education, should be conducted.