Hasil untuk "Fine Arts"

G. Hegel, T. M. Knox

Tao He, Leqi Shen, Yuchen Guo et al.

Unsupervised domain adaptive person re-identification aims at learning on an unlabeled target domain with only labeled data in source domain. Currently, the state-of-the-arts usually solve this problem by pseudo-label-based clustering and fine-tuning in target domain. However, the reason behind the noises of pseudo labels is not sufficiently explored, especially for the popular multi-branch models. We argue that the consistency between different feature spaces is the key to the pseudo labels’ quality. Then a SElf-Consistent pseudo label RefinEmenT method, termed as SECRET, is proposed to improve consistency by mutually refining the pseudo labels generated from different feature spaces. The proposed SECRET gradually encourages the improvement of pseudo labels’ quality during training process, which further leads to better cross-domain Re-ID performance. Extensive experiments on benchmark datasets show the superiority of our method. Specifically, our method outperforms the state-of-the-arts by 6.3% in terms of mAP on the challenging dataset MSMT17. In the purely unsupervised setting, our method also surpasses existing works by a large margin. Code is available at https://github.com/LunarShen/SECRET.

Jinwoo Kim, J. Yoo, Juho Lee et al.

Generative modeling of set-structured data, such as point clouds, requires reasoning over local and global structures at various scales. However, adopting multi-scale frameworks for ordinary sequential data to a set-structured data is nontrivial as it should be invariant to the permutation of its elements. In this paper, we propose SetVAE, a hierarchical variational autoencoder for sets. Motivated by recent progress in set encoding, we build SetVAE upon attentive modules that first partition the set and project the partition back to the original cardinality. Exploiting this module, our hierarchical VAE learns latent variables at multiple scales, capturing coarse-to-fine dependency of the set elements while achieving permutation invariance. We evaluate our model on point cloud generation task and achieve competitive performance to the prior arts with substantially smaller model capacity. We qualitatively demonstrate that our model generalizes to unseen set sizes and learns interesting subset relations without supervision. Our implementation is available at https://github.com/jw9730/setvae.

Tuan Dung Nguyen, Yuan-Sen Ting, I. Ciucă et al.

Large language models excel in many human-language tasks but often falter in highly specialized domains like scholarly astronomy. To bridge this gap, we introduce AstroLLaMA, a 7-billion-parameter model fine-tuned from LLaMA-2 using over 300,000 astronomy abstracts from arXiv. Optimized for traditional causal language modeling, AstroLLaMA achieves a 30% lower perplexity than Llama-2, showing marked domain adaptation. Our model generates more insightful and scientifically relevant text completions and embedding extraction than state-of-the-arts foundation models despite having significantly fewer parameters. AstroLLaMA serves as a robust, domain-specific model with broad fine-tuning potential. Its public release aims to spur astronomy-focused research, including automatic paper summarization and conversational agent development.

Boyao Shi, Wenbin Li, Jing Huo et al.

As for few-shot image classification, recently, some works revisit the standard transfer learning paradigm, i.e., pre-training and fine-tuning, and have achieved some success. However, we find that this kind of methods heavily relies on a naive image-level data augmentation (e.g., cropping and flipping) at the fine-tuning stage, which will easily suffer from the overfitting problem because of the limited-data regime. To tackle this issue, in this paper, we attempt to perform a novel feature-level semantic augmentation at the fine-tuning stage and propose a Global-and Local-aware Feature Augmentation method (GLFA) from both the channel-and spatial-wise perspectives. In addition, at the pre-training stage, we further propose a Semantic Orthogonal Learning Framework (SOLF) to make the learned feature channels more independently, orthogonal and diverse. Extensive experiments demonstrate that the proposed method can obtain significant performance improvements over the state of the arts. Code is available at https://github.com/onlyyao/GLFA-SOLF.

Delia Ioana Sloneanu

This article aims to investigate the Competition for the Residence of the Portuguese Embassy in Brasília, organized by the Ministry of Foreign Affairs between 1995 and 1996, in which Ricardo Bak Gordon (1967-) and Carlos Vilela Lúcio (1967-) placed first. To this end, the research goes back in time, looking at the historical events that led to this competition. Subsequent developments will also be analysed, focusing on the figure of Ricardo Bak Gordon, from his trip to Brazil and his relationship with Paulo Mendes da Rocha, to the need to develop a second project of reduced dimensions, years later. Essential for the development of the research, these three times – past, present, future – serve to illustrate a panorama much larger than the object of study, necessary for its understanding. Consequently, in the search for identity elements in Bak Gordon’s architecture, concepts such as crossing – physical and cultural – continuity, as permanence and awareness of distance in time, and in vitro representation, as a condition of porosity – physical and conceptual – that allows transparency, while preserving an image, will be explored.

Alessandro Spennato

Il graphic design ha subito una notevole evoluzione nel corso del XX secolo, in parte a causa delle innovazioni tecnologiche e in parte per l’influenza dei movimenti artistici moderni, che hanno modificato il modo in cui la comunicazione visiva veniva concepita. Questa trasformazione è strettamente connessa a figure pionieristiche come Gio Ponti, il cui contributo non si limita all’architettura e al design industriale, ma si estende anche al campo del graphic design, influenzandone profondamente lo sviluppo e la diffusione. Ponti rappresenta un esempio di artista totale, capace di fondere insieme varie discipline artistiche e di applicare una visione estetica integrata ai suoi progetti. Il suo lavoro ha ispirato generazioni di designer, ponendo le basi per le tendenze minimaliste e funzionaliste che caratterizzano il design contemporaneo. L’obiettivo di questo articolo è quello di esplorare l’evoluzione del graphic design nel contesto delle innovazioni tecnologiche e dei movimenti artistici modernisti, sottolineando il ruolo cruciale svolto da Gio Ponti in questo processo e il suo lascito nel panorama del design contemporaneo.

Shikun Liu, Linxi (Jim) Fan, Edward Johns et al.

Recent vision-language models have shown impressive multi-modal generation capabilities. However, typically they require training huge models on massive datasets. As a more scalable alternative, we introduce Prismer, a data- and parameter-efficient vision-language model that leverages an ensemble of task-specific experts. Prismer only requires training of a small number of components, with the majority of network weights inherited from multiple readily-available, pre-trained experts, and kept frozen during training. By leveraging experts from a wide range of domains, we show Prismer can efficiently pool this expert knowledge and adapt it to various vision-language reasoning tasks. In our experiments, we show that Prismer achieves fine-tuned and few-shot learning performance which is competitive with current state-of-the-arts, whilst requiring up to two orders of magnitude less training data. Code is available at https://github.com/NVlabs/prismer.

Mohammadreza Hajiarbabi

Skin Cancer is on the rise and Melanoma is the most threatening type among the skin cancers. Early detection of skin cancer is vital in order to prevent the cancer to be spread to other parts. In this paper a transfer-learning based system is proposed for Melanoma lesions detection. In the proposed system first, the images are preprocessed for removing the noise and illumination effect. In the next step a convolutional neural network is trained based on transfer learning using the weights of ImageNet data set. In the third step the network is fine-tuned to become more specialized for detecting the Melanoma versus other types of benign cancers. The proposed system uses the information from the image in 3 stages. In each stage the focus will be more concentrate on the center on the image where the suspicious part is. The results from these parts are combined and applied to a fully connected neural network. Results shows the superiority of the proposed methods compare to other state-of-the arts methods.

Xiangrui Xu, Peng Liu, Wei Wang et al.

Data reconstruction attack has become an emerging privacy threat to Federal Learning (FL), inspiring a rethinking of FL's ability to protect privacy. While existing data reconstruction attacks have shown some effective performance, prior arts rely on different strong assumptions to guide the reconstruction process. In this work, we propose a novel Conditional Generative Instance Reconstruction Attack (CGIR attack) that drops all these assumptions. Specifically, we propose a batch label inference attack in non-IID FL scenarios, where multiple images can share the same labels. Based on the inferred labels, we conduct a “coarse-to-fine” image reconstruction process that provides a stable and effective data reconstruction. In addition, we equip the generator with a label condition restriction so that the contents and the labels of the reconstructed images are consistent. Our extensive evaluation results on two model architectures and five image datasets show that without the auxiliary assumptions, the CGIR attack outperforms the prior arts, even for complex datasets, deep models, and large batch sizes. Furthermore, we evaluate several existing defense methods. The experimental results suggest that pruning gradients can be used as a strategy to mitigate privacy risks in FL if a model tolerates a slight accuracy loss.

Sam Friedman, A. Reeves

How do elites signal their superior social position via the consumption of culture? We address this question by drawing on 120 years of “recreations” data (N = 71,393) contained within Who’s Who, a unique catalogue of the British elite. Our results reveal three historical phases of elite cultural distinction: first, a mode of aristocratic practice forged around the leisure possibilities afforded by landed estates, which waned significantly in the late-nineteenth century; second, a highbrow mode dominated by the fine arts, which increased sharply in the early-twentieth century before gently receding in the most recent birth cohorts; and, third, a contemporary mode characterized by the blending of highbrow pursuits with everyday forms of cultural participation, such as spending time with family, friends, and pets. These shifts reveal changes not only in the contents of elite culture but also in the nature of elite distinction, in particular, (1) how the applicability of emulation and (mis)recognition theories has changed over time, and (2) the emergence of a contemporary mode that publicly emphasizes everyday cultural practice (to accentuate ordinariness, authenticity, and cultural connection) while retaining many tastes that continue to be (mis)recognized as legitimate.

Melike Yıldırım, Ö. Bölükbaşı, Zeynep Parlak Özer et al.

L-Phenylalanine imprinted electrochemical sensor based on WS2 nanoflowers on N,B doped graphene and its application to milk samples Melike Yıldırıma, Ömer Saltuk Bölükbaşıb, Zeynep Parlak Özerc, İlknur Polata, Necip Atard, Mehmet Lütfi Yolaa* aHasan Kalyoncu University, Faculty of Health Sciences, Department of Nutrition and Dietetics, 27010, Gaziantep, Turkey bIskenderun Technical University, Faculty of Engineering and Natural Sciences, Department of Metallurgical and Materials Engineering, 31200, Hatay, Turkey cHasan Kalyoncu University, Faculty of Fine Arts and Archıtecture, Department of Gastronomy and Culınary Arts, 27010, Gaziantep, Turkey dPamukkale University, Faculty of Engineering, Department of Chemical Engineering, 20160, Denizli, Turkey

Hala salah hamid

Hassan Fathi is considered by critics of contemporary Arab architecture as one of the most prominent symbols that shifted Arab architectural philosophy in the 1970s, particularly in terms of heritage-related things in contrast to the extension of modernity. Hassan Fathi, born in Alexandria, Egypt in 1900, presented theses and perceptions for more than fifty years that combined theoretical philosophy and practical practice, oscillating between "trial-and-error" and the frustrations and repercussions of reality, as well as the requirements of anti-paternity and anti-paternity-as a reference to the Western World's Modernity. Fathi's book includes several of his theoretical theses.(Many major ideas can be understood as direct projections or inferences between the lines in Al-Qurna - The Story of Two Villages, published by the University of Chicago in 1965 and translated into a book (Architecture for the Poor) in 1991.Hassan Fathi's publications on "heritage" philosophy reveal a keen understanding of key components of heritage's role in society, its dynamic cycle across time, and, above all, the social, economic, and cultural heritage associated with heritage. Heritage, according to Hassan Fathi, encompasses all inherited experiences and the legacy passed down through generations, although it does not always imply age. Rather than its chronological component, its relevance is tied to it

R. McNeal

S. Rahman, A. Al-Marzouki, M. Otim et al.

Background: Breast cancer is a leading cause of mortality among women in the United Arab Emirates (UAE). Many young women in the UAE have poor knowledge about breast cancer screening, including risk factors and warning signs/symptoms. We investigated awareness about breast cancer and breast self-examination (BSE) as a screening tool among female students at the University of Sharjah, UAE. Methods: This study used a cross sectional survey design. Participants were 241 undergraduate female students (aged ≥18 years) from three University of Sharjah campuses. Data were collected from March to April 2017 using a self-administered questionnaire. The questionnaire covered: sociodemographic characteristics; knowledge about breast cancer, risk factors, and warning signs/symptoms; and knowledge and practice of BSE. Data were analyzed using descriptive statistics and Pearson’s chi-square tests. Results: About 38.6% of participants were from the Medical campus, 37.3% were from the Women’s campus, and 24% were from the Fine Arts and Design campus. Most (99%) participants had heard of breast cancer. About 50% were knowledgeable about the risk factors, but only 38% were knowledgeable about warning signs/symptoms. The most commonly identified risk factors were family and personal histories of breast cancer, and the most commonly identified warning sign/symptom was breast lump. There was a significant association between knowledge about risk factors and campus type. Participants from the Medical campus were more knowledgeable about risk factors than participants from the other two campuses. Overall, 68.5% of participants had heard of BSE, but few participants actually performed BSE. Reasons for not performing BSE included “forgetting” and “not knowing how.” Conclusions: Although most participants were aware of breast cancer, knowledge about risk factors and warning signs/symptoms was relatively poor. Knowledge about performing BSE was particularly low. This highlights the importance of increasing awareness about breast cancer and BSE among young women in the UAE.

Hays Gries, Jennifer, L. et al.

Mohtasham Mohammadi, Abdollah Valadi Jahan abad

Introduction The factor of textual coherence and sentence relation are divided into three categories according to Halliday and Hasan: A) Lexical factor: including repetition, synergy and semantic domains. B) Grammatical factors: including referral, replacement and deletion. C) Connective factors: including conjunctions (Yahaghi and Fallahi, 2011, p. 331). New linguists, in the course of their early studies, have relied only on the description of less linguistic units and have not paid attention to the study and analysis of disciplines beyond such as in the critique of these research approaches (De bougrand and Dressler, 1981, p. 21). Gradually, with the development of linguistic research and the development of new theories, Noam Chamsky's rotational method, became a concept between sentences, and the basic need for study was concentrated within the organization of the text so that the text could be studied by linguists as a larger linguistic unit. (Ibid 104-130). As a result, it led to the discovery of semantic relationships between elements of language which arise from the function of elements of coherence in the text. Methodology Since from the end of 20th century, a more detailed study of speech has been opened especially with patterns such as the pattern of cohesion and on the other hand, Khaghani in Persian poetry is a symbol of the strength and stability of poetic speech in the form of Ode. One should examine to see if the pattern of coherence confirms the coherence of Khaghani's speech. In the prevalence of some fascinations, it seems necessary to see and explore the magnificent Persian text from new perspectives in order to show their originality' strength and coherence. Discussion In 1976 Halliday and Hasan divided English text cohesion tools into three categories: Grammatical tools including “referral”, “substitution” and “deletion”. Link tools including conjunctions; and lexical tools including repetition. In 1985 they expanded this division into another joint work. It is the coherence consistency and integrity of the text that keeps the components of the text together; That is the meaning of lexical units within each sentence depends on the other units within the same sentence (Taki, 1999, p.73-81). Text coherence refers to the set of links and relationships that exist between the components of the text. These links and relationships distinguish the text from randomly stacked sentences and turn it into a coherent whole (Lotfipur, 1995, p. 110). Vocabulary coherence based on the relationship that lexical units of language have with each other in terms of the content of their meanings and the text trough these relationships can be continuous and coherent (Mohajer & Nabavi, 2014, p. 64). Word has no meaning in isolation. The meaning of a simple or compound word is related to other words in the language. The main task of semantics is the clarify words and determine these semantic relations (Tarask, 2001, p. 18). Recursion has the highest value among the elements of other words and increase the musical level of the poem, the stability of the words, the unity of the subject or the embodiment images and poetic emotions and feelings and the single theme and solidarity of the verses and connect them with chains (yavari, 2000). Recursion comes in several forms: repetition, contradiction, semantic inclusion, synonym. One of the factors of the lexical coherence in the text is the factor for repetition. According to Halliday, repetition is the most obvious type of lexical coherence. The cohesive factor of repetition includes all morphological construction of a word (yavari, 2018, p. 163-192). In Khaghni's view like the formalists, the word has a special importance to the extent that various literary techniques such as: prosody, repetition of sounds, repetition of syllable in words, etc. As a tool to draw the reader's attentions to the word element (Alavi Moghaddam, 1995). The thirst for word choice is clearly evident in Khaghani's words (Tajlil & Musavi, 2014). In this Khaghani's poem, 41 words are repeated more than once. The most commonly used word is morning (It is the most frequent word in this poem). Khaghani has been called the poet of morning. Maybe that is why he pays attention to the morning and sunrise in his poems. Conclusion Contemporary patterns in literary studies are clearly arguments for commenting on literary topics. One of these models is the model of Halliday and Hasan cohesion, which was reviewed by Hasan sometime after its publication and was finally presented by Halliday and Hasan shortly after. For decades, formal studies based on this model have become increasingly important. On the other hand, the importance and success of Khaghani in Persian has always been raised. In this research, using the evolved theory of coherence of Halliday and Hasan (1985) in role-oriented linguistics; analysis, coherence and continuity in verses of Khaghani's poem have been done to determine how the semantic connection of cohesive chains has been realized in this poem. According to this theory, the coherence of the relations between elements is the constructor of the text, but it is not enough just to achieve the coherence factors in the texts; rather after showing these factors, it is necessary to examine the coherence of the text, based on coherence coordination. This study, following the achievement of coherence of the factors and coherence of the text of the poem, led to the conclusion that Khaghani's verses have a high coherence according to Halliday model. Although the strength of the structure of Khaghani's poetry does not need to be confirmed by such models but it is a conclusive argument and a valid argument that shows that the patterns favored by modern scholars also confirm the coherence of the words of the greats of Persian literature. According to the collected analysis materials, the following contents were obtained. Repetition and reference have the highest frequency in the issue of coherence of Khaghni's logic poem. In the topic of repetition, the highest frequency of words, revolved around the following axes: Topics related to religion: God, Guidance, Baggage, futurity, Clerics. Topics related to nature: Morning, sky, night, sun, moon. 3.Vocabulary related to war: Cousin, dagger, armor, razor, ring, punch, kidnapping. 4.Topics related to clothing: Cloaks, robes, masks, hats. It is as if Khaghani wants to sing the epic of the sultan of religion instead of the epic of sultan of the time and show us a deep alternative. In this axis, he combines all the elements of nature to achieve his goal. The method of Haliday and Hasan in the Latin articles that are available and in the Persian articles that have been published in prestigious academic journals in the last 35 years is the first case study- Khaghani's poem- is translated into text and then into words. and are checked. This method is very accurate in this regard and according to this model, we can speak with certainty about the coherence of Khaghani's speech. Also, in response to the questions of expression of the problem, it was found that new patterns for examining the ancient texts are not prohibited and there is no problem and the firmness of Khaghani's speech, which is clear for Persian literature elites, was proved by this pattern. It was also answered that the use of modern patterns is not a problem for the study of ancient texts. This pattern which has good accuracy and detail, is suitable for the study of Khaghani's poem.

Abdulla Hussen Hassan

This research aims at identifying the nature of addressing the Middle East issues in the talk shows in the foreign channels speaking in Arabic "France 24, a model", and identifying the extent of interest of the channel in addressing middle east issues in the talk shows, the nature of the guests and the hosts, methods of addressing the issues, and the technical features that characterize the presenter of the research sample program. This research is considered an analytical descriptive study. It depends on the analysis of the content of the series of the weekly talk show "a week from the world" on the French channel (France 24) during the period (August 1/July 31 2018). The most important results indicated that the foreign channels speaking in Arabic are concerned with covering the middles east issues, especially the political and military topics. The results also showed the channel's interest in the Syrian file in the first place, and their reliance on the writer in addressing the raised Middle East issues, especially the opponents of the raised issue. The results also revealed that there is a balance in the distribution of time between the guests, non-interference of the presenter in addressing the raised issues, leaving enough time for the guest to address the issue, the presenter of the program (the research sample) is not directing the guest to answer according to the channel's view, and the treatment also relied on the political frameworks in addressing the issues.

Oki Dirgualam, Dadang Suganda, Bucky Wikagoe et al.

This article describes the adaptation of foreign culture in the form of jazz big band music by Salamander Big Band. Aesthetics is a study of the processes that occur in three basic elements, namely: aesthetic objects, aesthetic subjects, and aesthetic values related to aesthetic experiences, aesthetic properties, and attractive and unattractive parameters. The process of adapting the aesthetics of playing music is the process of adjusting the aesthetics of playing music carried out by an individual/community to cultural outcomes from outside the individual/community culture. This research uses qualitative approach method with descriptive analysis. Researchers describe the results of the research based on the results of observation, interview, and documental studies relating to players and experts in the field of big-band music. This paper presents the basic elements of western music aesthetics, especially big band jazz music and how Salamander Big Band can adapt and implement the aesthetic values of western jazz big band music in its music playing. Through a process of appreciation, habituation, additional insight into jazz music, continuous and consistent practice, Salamander Big Band members are able to adapt to cultures from outside of Indonesia’s popular music culture, that is playing American big band music with the correct aesthetic. Artikel ini menjelaskan tentang estetika permainan musik big band jazz yang diadaptasi oleh komunitas non-formal big band Salamander. Estetika merupakan kajian tentang proses yang terjadi pada tiga elemen dasar, yaitu: objek estetis, subjek estesis, dan nilai estesis yang terkait dengan pengalaman estesis, properti estesis, dan parameter kemenarikan maupun ketidakmenarikan. Proses adaptasi estetika permainan musik adalah proses penyesuaian estetika permainan musik  yang dilakukan oleh suatu individu/komunitas terhadap hasil budaya asing atau budaya baru. Tulisan  ini  menggunakan  pendekatan  kualitatif  dengan  metode  analisis  deskriptif. Tulisan ini menghadirkan elemen-elemen dasar dari estetika musik barat khususnya musik big band jazz serta bagaimana big band Salamander dapat mengadaptasi dan mengimplementasikan nilai-nilai estetika musik big band jazz barat dalam permainan musik yang dimainkan. Melalui proses adaptasi estetika dalam memainkan musik dengan benar dan sesuai, dapat menghasilkan produk musik yang lebih baik, mendekati estetika musik aslinya atau bahkan lebih baik dari versi aslinya.

Tu Quynh Loan Ngo, Yu-Ren Wang, Dai-Lun Chiang

In the construction industry, non–destructive testing (NDT) methods are often used in the field to inspect the compressive strength of concrete. NDT methods do not cause damage to the existing structure and are relatively economical. Two popular NDT methods are the rebound hammer (RH) test and the ultrasonic pulse velocity (UPV) test. One major drawback of the RH test and UPV test is that the concrete compressive strength estimations are not very accurate when comparing them to the results obtained from the destructive tests. To improve concrete strength estimation, the researchers applied artificial intelligence prediction models to explore the relationships between the input values (results from the two NDT tests) and the output values (concrete strength). In-situ NDT data from a total of 98 samples were collected in collaboration with a material testing laboratory and the Professional Civil Engineer Association. In-situ NDT data were used to develop and validate the prediction models (both traditional statistical models and AI models). The analysis results showed that AI prediction models provide more accurate estimations when compared to statistical regression models. The research results show significant improvement when AI techniques (ANNs, SVM and ANFIS) are applied to estimate concrete compressive strength in RH and UPV tests.