Recent research has focused on incorporating media into living environments
via color-controlled materials and image display. In particular, grass-based
displays have drawn attention as landscape-friendly interactive interfaces. To
develop the gras... read more
This paper presents a portable, GPU-accelerated implementation of a QR-based
singular value computation algorithm in Julia. The singular value ecomposition
(SVD) is a fundamental numerical tool in scientific computing and machine
learning, providin... read more
Achieving precise control over a molecule's biological activity-encompassing
targeted activation/inhibition, cooperative multi-target modulation, and
off-target toxicity mitigation-remains a critical challenge in de novo drug
design. However, exist... read more
Multimodal recommendation systems have attracted increasing attention for
their improved performance by leveraging items' multimodal information. Prior
methods often build modality-specific item-item semantic graphs from raw
modality features and u... read more
Lateral ventricle (LV) shape analysis holds promise as a biomarker for
neurological diseases; however, challenges remain due to substantial shape
variability across individuals and segmentation difficulties arising from
limited MRI resolution. We i... read more
We present Big5-Scaler, a prompt-based framework for conditioning large
language models (LLMs) with controllable Big Five personality traits. By
embedding numeric trait values into natural language prompts, our method
enables fine-grained personali... read more
In clinical practice, early recognition of bacteremia leads to prognostic improvement. Recently, cell population data (CPD) from the Sysmex XN-series hematology analyzer has attracted attention as a new method for the early diagnosis of bacteremia, b... read more
Accurate detection of brain tumors remains a significant challenge due to the diversity of tumor types along with human interventions during diagnostic process. This study proposes a novel ensemble deep learning system for accurate brain tumor classi... read more
Semiconductor biohybrid systems are emerging as promising strategies for enhanced carbon dioxide fixation and synthesis of organic compounds, with the potential to transcend biological limitations. However, the effects of experimental variables on th... read more
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