Hasil untuk "Art"

M. Cohen, Y. Chen, M. McCauley et al.

V. Mudimbe

Robert L. Jacoby

Lisa Elkin, M. Kay, J. J. Higgins et al.

Data from multifactor HCI experiments often violates the assumptions of parametric tests (i.e., nonconforming data). The Aligned Rank Transform (ART) has become a popular nonparametric analysis in HCI that can find main and interaction effects in nonconforming data, but leads to incorrect results when used to conduct post hoc contrast tests. We created a new algorithm called ART-C for conducting contrast tests within the ART paradigm and validated it on 72,000 synthetic data sets. Our results indicate that ART-C does not inflate Type I error rates, unlike contrasts based on ART, and that ART-C has more statistical power than a t-test, Mann-Whitney U test, Wilcoxon signed-rank test, and ART. We also extended an open-source tool called ARTool with our ART-C algorithm for both Windows and R. Our validation had some limitations (e.g., only six distribution types, no mixed factorial designs, no random slopes), and data drawn from Cauchy distributions should not be analyzed with ART-C.

L. Sammaritano, B. Bermas, E. Chakravarty et al.

To develop an evidence‐based guideline on contraception, assisted reproductive technologies (ART), fertility preservation with gonadotoxic therapy, use of menopausal hormone replacement therapy (HRT), pregnancy assessment and management, and medication use in patients with rheumatic and musculoskeletal disease (RMD).

P. Sax, Kristine M. Erlandson, J. Lake et al.

Abstract Background Initiation of antiretroviral therapy (ART) often leads to weight gain. While some of this weight gain may be an appropriate return-to-health effect, excessive increases in weight may lead to obesity. We sought to explore factors associated with weight gain in several randomized comparative clinical trials of ART initiation. Methods We performed a pooled analysis of weight gain in 8 randomized controlled clinical trials of treatment-naive people living with human immunodeficiency virus (HIV) initiating ART between 2003 and 2015, comprising >5000 participants and 10 000 person-years of follow-up. We used multivariate modeling to explore relationships between demographic factors, HIV disease characteristics, and ART components and weight change following ART initiation. Results Weight gain was greater in more recent trials and with the use of newer ART regimens. Pooled analysis revealed baseline demographic factors associated with weight gain including lower CD4 cell count, higher HIV type 1 RNA, no injection drug use, female sex, and black race. Integrase strand transfer inhibitor use was associated with more weight gain than were protease inhibitors or nonnucleoside reverse transcriptase inhibitors (NNRTIs), with dolutegravir and bictegravir associated with more weight gain than elvitegravir/cobicistat. Among the NNRTIs, rilpivirine was associated with more weight gain than efavirenz. Among nucleoside/nucleotide reverse transcriptase inhibitors, tenofovir alafenamide was associated with more weight gain than tenofovir disoproxil fumarate, abacavir, or zidovudine. Conclusions Weight gain is ubiquitous in clinical trials of ART initiation and is multifactorial in nature, with demographic factors, HIV-related factors, and the composition of ART regimens as contributors. The mechanisms by which certain ART agents differentially contribute to weight gain are unknown.

S. Lichtenstein, Baruch Fischhoff, L. Phillips

R. Bell, R. Alter

Stephen I. Brown, M. Walter

Jiang Du, Qiang Wei, Yisen Wang et al.

Recent advances in graph neural networks have transformed structural pattern learning in domains ranging from social network analysis to biomolecular modeling. Nevertheless, practical deployments in mission-critical scenarios such as binary code similarity detection face two fundamental obstacles: first, the inherent noise in graph construction processes exemplified by incomplete control flow edges during binary function recovery; second, the substantial distribution discrepancies caused by cross-architecture instruction set variations. Conventional GNN architectures demonstrate severe performance degradation under such low signal-to-noise ratio conditions and cross-domain operational environments, particularly in security-sensitive vulnerability identification tasks where feature instability or domain shifts could trigger critical false judgments. To address these challenges, we propose GBsim, a novel approach that combines graph neural networks with natural language processing. GBsim employs a cross-architecture language model to transform binary functions into semantic graphs, leverages a multilayer GCN for structural feature extraction, and employs a Transformer layer to integrate semantic information, generates robust cross-architecture embeddings that maintain high performance despite significant distribution shifts. Extensive experiments on a large-scale cross-architecture dataset show that GBsim achieves an MRR of 0.901 and a Recall@1 of 0.831, outperforming state-of-the-art methods. In real-world vulnerability detection tasks, GBsim achieves an average recall rate of 81.3% on a 1-day vulnerability dataset, demonstrating its practical effectiveness in identifying security threats and outperforming existing methods by 2.1%. This performance advantage stems from GBsim’s ability to maximize information preservation across architectural boundaries, enhancing model robustness in the presence of noise and distribution shifts.

Hans Lindquist, Sidney I. Landau

Benigno Muñoz-Barron, X. Yamile Sandoval-Castro, Eduardo Castillo-Castaneda et al.

Kirigami is the art of cutting paper to create three-dimensional figures for primarily aesthetic purposes. However, it can also modify the mechanical behavior of the resulting structure. In the literature, kirigami has been applied to modify the material’s structural behavior, such as by changing its elasticity, rigidity, volume, or any other characteristic. This article examines the behavior of a pattern of rectangular kirigami cuts on a thermoplastic polyurethane soft material structure and its influence on the mechanical parameters of the macrostructure. The results demonstrate that rectangular kirigami patterns significantly affect the stiffness of the test specimens, changing from 1635 N/m to 4020 N/m. In elongation, there is a variation from 176.6% to 218% by simply altering the height of the rectangular cut. This enables the adjustment of the soft material structure’s stiffness based on the geometry of the propagating kirigami cuts.

Vygintas Orlovas

While the cultural phenomenon known as vaporwave is commonly traced back to 2009, its defining characteristics remain a subject of ongoing debate within both popular culture and academic circles. Various perspectives categorize it as a microgenre of electronic music, a meme, an art movement, a critique of capitalism, or even a manifestation of pure aesthetics. As such, vaporwave remains a complex and multifaceted topic for research. In this paper, I explore the influence of post-internet culture on the formation of vaporwave and its aesthetics by analyzing the methods and strategies used to create what is recognized as vaporwave, rather than attempting to label or define it precisely. As a further step in this inquiry, I document an attempt to apply these methods and strategies, resulting in the publication of four music albums. This practice-based approach to analyzing vaporwave through creation and publication helps to better understand some core qualities and aesthetics of this art movement.

Valeria Giudici

This article examines how the territorial dimension is integrated into the activities of a corporate foundation for contemporary art. It focuses on the Pirelli HangarBicocca foundation, located in the post-industrial Bicocca district of Milan, exploring the theme of valorizing an industrial building that has been preserved from trivialization. After describing the cultural elements of the Bicocca landscape linked to the historical presence of the Pirelli company and examining the perception of the foundation's building by local actors, the article presents some examples of artistic interventions in the space of the cultural institution. These practices show how the interpretation of industrial spaces through the medium of art helps to strengthen the integration of the territorial dimension into the company's identity, while at the same time enhancing and bringing up to date the industrial landscape of the Milanese district. The analysis suggests that the foundation is more open and accessible thanks to its reflection on the territorial context, counteracting the elitist character generally associated with contemporary art and private institutions.

A. Bast, G. Haenen, C. Doelman

L. Debano

Fengming Sun, Junjie Cui, Xia Yuan et al.

Abstract Fully convolutional neural networks‐based salient object detection has recently achieved great success with its performance benefits from the effective use of multi‐layer features. Based on this, most of the existing saliency detectors designed complex network structures to fuse the multi‐level features generated by the backbone network. However, the variable scale and complex shape of the target are always a great challenge for saliency detection tasks. In this paper, the authors propose a Rich‐scale Feature Fusion Network (RFFNet) for salient object detection. The authors design a rich‐scale feature interactive fusion module to obtain more efficient features from the multi‐scale features. Moreover, the global feature enhance module is used to extract features with better characterization for the final saliency prediction. Extensive experiments performed on five benchmark datasets demonstrate that the proposed method can achieve satisfactory results on different evaluation metrics compared to other state‐of‐the‐art salient object detection approaches.

Carlos NGWAPITSHI NGWAMASHI

Résumé : L’étude menée par nous qui se solde par la présentation des résultats sous format d’un article porte sur « le magistrat congolais face au blanchiment d’argent sale ». Il répond à la question de savoir si le magistrat congolais peut-être classé parmi les usagers du blanchiment d’argent sale ? Après analyse, il s’est dégagé une opinion. Il y a lieu de faire la part des choses, dans la mesure où la corruption étant un interdit en droit positif congolais, ce qui renvoi à ce que tout juge ou magistrat selon le cas, qui recourt à cette pratique, tombe sous le coup du blanchiment d’argent sale que nous qualifions de « blanchiment d’opportunité ». Cependant, il y a lieu de préciser qu’après une observation de la situation, l’appareil judiciaire congolais est bourré d’un mal, qu’est la corruption voire même la concussion, raison pour laquelle depuis un certain temps, soit de 2010 à nos jours, il y a une abondance des procès en procédure de prise à partie devant la Cour de Cassation pour dol ou déni de justice. Mots-clés : Magistrat, blanchiment, argent sale

H. Belting, E. Jephcott

G. Carpenter, S. Grossberg, D. B. Rosen