Attribute Based Interpretable Evaluation Metrics for Generative Models

When the training dataset comprises a 1:1 proportion of dogs to cats, a generative model that produces 1:1 dogs and cats better resembles the training species distribution than another model with 3:1 dogs and cats. Can we capture this phenomenon using existing metrics? Unfortunately, we cannot, because these metrics do not provide any interpretability beyond "diversity". In this context, we propose a new evaluation protocol that measures the divergence of a set of generated images from the training set regarding the distribution of attribute strengths as follows. Single-attribute Divergence (SaD) measures the divergence regarding PDFs of a single attribute. Paired-attribute Divergence (PaD) measures the divergence regarding joint PDFs of a pair of attributes. They provide which attributes the models struggle. For measuring the attribute strengths of an image, we propose Heterogeneous CLIPScore (HCS) which measures the cosine similarity between image and text vectors with heterogeneous initial points. With SaD and PaD, we reveal the following about existing generative models. ProjectedGAN generates implausible attribute relationships such as a baby with a beard even though it has competitive scores of existing metrics. Diffusion models struggle to capture diverse colors in the datasets. The larger sampling timesteps of latent diffusion model generate the more minor objects including earrings and necklaces. Stable Diffusion v1.5 better captures the attributes than v2.1. Our metrics lay a foundation for explainable evaluations of generative models

One-volt-driven superfast polymer actuators based on single-ion conductor

The key challenges in the advancement of actuator technologies related to artificial muscles include fast-response time, low operation voltages and durability. Although several researchers have tackled these challenges over the last few decades, no breakthrough has been made. Here we describe a platform for the development of soft actuators that moves a few millimetres under 1V in air, with a superfast response time of tens of milliseconds. An essential component of this actuator is the single-ion-conducting polymers that contain well-defined ionic domains through the introduction of zwitterions; this achieved an exceptionally high dielectric constant of 76 and a 300-fold enhancement in ionic conductivity. Moreover, the actuator demonstrated long-term durability, with negligible changes in the actuator stroke over 20,000 cycles in air. Owing to its low-power consumption (only 4 mW), we believe that this actuator could pave the way for cutting-edge biomimetic technologies in the future.11135Ysciescopu

LANIT: Language-Driven Image-to-Image Translation for Unlabeled Data

Existing techniques for image-to-image translation commonly have suffered from two critical problems: heavy reliance on per-sample domain annotation and/or inability of handling multiple attributes per image. Recent truly-unsupervised methods adopt clustering approaches to easily provide per-sample one-hot domain labels. However, they cannot account for the real-world setting: one sample may have multiple attributes. In addition, the semantics of the clusters are not easily coupled to the human understanding. To overcome these, we present a LANguage-driven Image-to-image Translation model, dubbed LANIT. We leverage easy-to-obtain candidate attributes given in texts for a dataset: the similarity between images and attributes indicates per-sample domain labels. This formulation naturally enables multi-hot label so that users can specify the target domain with a set of attributes in language. To account for the case that the initial prompts are inaccurate, we also present prompt learning. We further present domain regularization loss that enforces translated images be mapped to the corresponding domain. Experiments on several standard benchmarks demonstrate that LANIT achieves comparable or superior performance to existing models.Comment: Accepted to CVPR 2023. Project Page: https://ku-cvlab.github.io/LANIT

Antimicrobial Susceptibility Patterns and Macrolide Resistance Genes of β-Hemolytic Viridans Group Streptococci in a Tertiary Korean Hospital

The aim of this study was to investigate antimicrobial susceptibilities and macrolide resistance mechanisms of β-hemolytic viridans group streptococci (VGS) in a tertiary Korean hospital. Minimum inhibitory concentrations (MICs) of seven antimicrobials were determined for 103 β-hemolytic VGS isolated from various specimens. The macrolide resistance mechanisms of erythromycin-resistant isolates were studied by the double disk test and polymerase chain reaction (PCR). The overall resistance rates of β-hemolytic VGS were found to be 47.5% to tetracycline, 3.9% to chloramphenicol, 9.7% to erythromycin, and 6.8% to clindamycin, whereas all isolates were susceptible to penicillin G, ceftriaxone, and vancomycin. Among ten erythromycin-resistant isolates, six isolates expressed a constitutive MLSB (cMLSB) phenotype, and each of the two isolates expressed the M phenotype, and the inducible MLSB (iMLSB) phenotype. The resistance rates to erythromycin and clindamycin of β-hemolytic VGS seemed to be lower than those of non-β-hemolytic VGS in our hospital, although cMLSB phenotype carrying erm(B) was dominant in β-hemolytic VGS

Visual Style Prompting with Swapping Self-Attention

In the evolving domain of text-to-image generation, diffusion models have emerged as powerful tools in content creation. Despite their remarkable capability, existing models still face challenges in achieving controlled generation with a consistent style, requiring costly fine-tuning or often inadequately transferring the visual elements due to content leakage. To address these challenges, we propose a novel approach, \ours, to produce a diverse range of images while maintaining specific style elements and nuances. During the denoising process, we keep the query from original features while swapping the key and value with those from reference features in the late self-attention layers. This approach allows for the visual style prompting without any fine-tuning, ensuring that generated images maintain a faithful style. Through extensive evaluation across various styles and text prompts, our method demonstrates superiority over existing approaches, best reflecting the style of the references and ensuring that resulting images match the text prompts most accurately. Our project page is available https://curryjung.github.io/VisualStylePrompt/

A Study on Performance Design Using a Sprinkler System for Fire-Spread Prevention of a Building Exterior

A glass exterior material is normally used in buildings, but it also comes with a disadvantage—it is easily damaged by fire. If the glass exterior material is damaged, a fire can rapidly propagate inside the building space, leading to a lot of damage from the flame transfer to the other space. In this study, the performance of a sprinkler for flame propagation prevention was evaluated during an experiment with an actual proof fire. The study found that where the sprinkler is installed with the glass exterior material, the temperature does not exceed 60°C until the end of the test due to the effect of the water curtain. In the glass exterior material where the sprinkler is not installed, the temperature rapidly increased just after starting the experiment, and caused damage 21 minutes and 30 seconds after starting the test

Molecular and genetic characterization of OSH6 (Oryza sativa Homeobox 6) using dissociation (Ds) insertion mutant rice

Genetic studies of dissociation (Ds) insertion mutant rice plants indicated that ectopic expression of truncated OSH6 (Oryza sativa Homeobox 6) mRNA may be responsible for the mutant phenotype of knotted leaf formation at the peduncle. Additionally, ectopic expression of truncated OSH6 mRNA in the OSH6-Ds mutant plant led to alteration of other homeobox genes including OSH15 in leaf tissues. The OSH6-Ds mutant plant exhibited altered expression of more than 118 genes on a 22K rice microarray in comparison with wild type plants. Of these genes, 20 were up- or down-regulated in both OSH6-Ds and OSH6-overexpressing (OSH6-35S) plants. Especially, OsDof3 was not expressed in floral organs, but was present in the panicles of both OSH6-Ds and OSH6-35S plants. It is assumed that truncated OSH6 transcript might be actively involved in the gene expression during organ development. The genetic relationship between OSH6-Ds and OSH15 suggested that the formation of the extra leaf is independent of OSH6-Ds or OSH15 expression. These results suggest that truncated OSH6 mRNA influences lateral organ growth and development by regulating the expression of specific gene groups.Key words: Oryza sativa Homeobox 6 (OSH6) genes, Ds insertion lines, OSH15 mutant

Guideline of the Korean Academy of Medical Sciences for Assessing Respiratory Impairment

The presently used impairment rating guidelines in Korea do not accurately reflect the injury in various lung diseases. Therefore, they need to be made more objective and quantitative with new measurements, using indicators to more precisely represent impairment in the major respiratory diseases. We develop a respiratory impairment rating guideline to ensure that the same grade or impairment rating would be obtained regardless of surgeons who determinate it. Specialists in respiratory medicine and thoracic surgeons determined the impairment grades. Moreover, the impairment should be irreversible for more than 6 months. The impairment rating depends on the level of forced vital capacity, forced expiratory volume 1 second, diffusion capacity of carbon monoxide, arterial oxygen pressure, and arterial carbon dioxide pressure. The degree of whole body impairment is defined by each grade: first 81-95%, second 66-80%, third 51-65%, fourth 36-50%, and fifth 21-35%. In conclusion, we develop a respiratory impairment rating guideline for Koreans. Any qualified specialist can easily use it and judge objective scoring