39 results match your criteria: "Tokyo National University of Fine Arts & Music Health Service Center.[Affiliation]"

Article Synopsis
  • Human genetic variants influence various traits, but the underlying mechanisms are still largely unclear.
  • By studying around 260,000 Japanese participants and using a specific genotype reference panel, researchers identified over 4,400 significant genetic loci linked to 63 traits, with many being novel findings.
  • The study highlighted the role of noncoding variants, particularly in untranslated regions, and emphasized the importance of genetic research in diverse populations to uncover functional variants and their impacts.
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DriveLLaVA: Human-Level Behavior Decisions via Vision Language Model.

Sensors (Basel)

June 2024

College of Automotive Engineering, Jilin University, Changchun 130025, China.

Human-level driving is the ultimate goal of autonomous driving. As the top-level decision-making aspect of autonomous driving, behavior decision establishes short-term driving behavior strategies by evaluating road structures, adhering to traffic rules, and analyzing the intentions of other traffic participants. Existing behavior decisions are primarily implemented based on rule-based methods, exhibiting insufficient generalization capabilities when faced with new and unseen driving scenarios.

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Large Language Models (LLMs), such as the General Pre-trained Transformer (GPT), have shown remarkable performance in various cognitive tasks. However, it remains unclear whether these models have the ability to accurately infer human perceptual representations. Previous research has addressed this question by quantifying correlations between similarity response patterns of humans and LLMs.

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Both music and language are found in all known human societies, yet no studies have compared similarities and differences between song, speech, and instrumental music on a global scale. In this Registered Report, we analyzed two global datasets: (i) 300 annotated audio recordings representing matched sets of traditional songs, recited lyrics, conversational speech, and instrumental melodies from our 75 coauthors speaking 55 languages; and (ii) 418 previously published adult-directed song and speech recordings from 209 individuals speaking 16 languages. Of our six preregistered predictions, five were strongly supported: Relative to speech, songs use (i) higher pitch, (ii) slower temporal rate, and (iii) more stable pitches, while both songs and speech used similar (iv) pitch interval size and (v) timbral brightness.

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Article Synopsis
  • The prediction of RNA structure from its sequence is challenging due to a lack of experimental data, which has slowed advancement in the field.
  • Researchers have developed a dataset called Ribonanza, consisting of chemical mapping data from two million RNA sequences, collected through crowdsourcing platforms like Eterna.
  • Utilizing this dataset, they created a deep learning model named RibonanzaNet, which, when fine-tuned, demonstrates superior performance in predicting various RNA behaviors, potentially improving understanding of RNA structures.
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Single-polyp metabolomics for coral health assessment.

Sci Rep

March 2024

Multimodal Informatics and Wide-Data Analytics Laboratory (MiWA-Lab.), Faculty of Biology-Oriented Science and Technology, Kindai University, Nishimitani, Kinokawa, Wakayama, 649-6493, Japan.

Coral reef ecosystems supported by environmentally sensitive reef-building corals face serious threats from human activities. Our understanding of these reef threats is hampered by the lack of sufficiently sensitive coral environmental impact assessment systems. In this study, we established a platform for metabolomic analysis at the single-coral-polyp level using state-of-the-art mass spectrometry (probe electrospray ionization/tandem mass spectrometry; PESI/MS/MS) capable of fine-scale analysis.

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Article Synopsis
  • Properly patterned cell walls in plants are crucial for their functions, with protoxylem and metaxylem vessel cells showing distinct wall structures.
  • The scaffold protein MIDD1 is key in regulating microtubule patterns, affecting how cell walls are deposited, and its phase separation helps to adjust spacing in these vessel cells.
  • MIDD1's interaction with ROP GTPases is essential, as disruptions can lead to narrower gaps in protoxylem walls, highlighting phase separation's role in fine-tuning cell wall patterns in Arabidopsis thaliana.
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Article Synopsis
  • The study introduces a new method for large-factor super-resolution (SR) in medical imaging called SGSR, which is designed specifically for dealing with registered low-resolution (LR) and high-resolution (HR) image pairs that may have registration errors.
  • SGSR utilizes an innovative approach with style-subnets-assisted generative latent bank (S-GLB) and a novel inter-uncertainty loss, optimizing the generation of realistic images by leveraging pre-existing image models and additional spatial information.
  • Experimental results demonstrate that SGSR significantly surpasses previous state-of-the-art SR methods in both quality and accuracy, leading to improved reconstructions in medical images and aiding in better clinical outcomes.
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In the last century, molecular crystals functioned predominantly as a means for determining the molecular structures X-ray diffraction, albeit as the century came to a close the response of molecular crystals to electric, magnetic, and light fields revealed that the physical properties of molecular crystals were as rich as the diversity of molecules themselves. In this century, the mechanical properties of molecular crystals have continued to enhance our understanding of the colligative responses of weakly bound molecules to internal frustration and applied forces. Here, the authors review the main themes of research that have developed in recent decades, prefaced by an overview of the particular considerations that distinguish molecular crystals from traditional materials such as metals and ceramics.

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Prediction of RNA-protein interactions using a nucleotide language model.

Bioinform Adv

April 2022

Department of Electrical Engineering and Bioscience, School of Advanced Science and Engineering, Waseda University, Tokyo 169-8555, Japan.

Motivation: The accumulation of sequencing data has enabled researchers to predict the interactions between RNA sequences and RNA-binding proteins (RBPs) using novel machine learning techniques. However, existing models are often difficult to interpret and require additional information to sequences. Bidirectional encoder representations from transformer (BERT) is a language-based deep learning model that is highly interpretable.

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Background: Heart failure is common and is associated with high rates of hospitalization. Home care support clinics/hospitals (HCSCs) and enhanced HCSCs were introduced in Japan in 2006 and 2012, respectively.

Objective: This study aimed to examine the effect of post-discharge care by conventional or enhanced HCSCs on readmission, compared with general clinics.

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Previous genome-wide association studies (GWASs) of stroke - the second leading cause of death worldwide - were conducted predominantly in populations of European ancestry. Here, in cross-ancestry GWAS meta-analyses of 110,182 patients who have had a stroke (five ancestries, 33% non-European) and 1,503,898 control individuals, we identify association signals for stroke and its subtypes at 89 (61 new) independent loci: 60 in primary inverse-variance-weighted analyses and 29 in secondary meta-regression and multitrait analyses. On the basis of internal cross-ancestry validation and an independent follow-up in 89,084 additional cases of stroke (30% non-European) and 1,013,843 control individuals, 87% of the primary stroke risk loci and 60% of the secondary stroke risk loci were replicated (P < 0.

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Article Synopsis
  • Samples from the carbonaceous asteroid Ryugu, collected by the Hayabusa2 spacecraft, show evidence of carbon dioxide-bearing water inclusions in a pyrrhotite crystal, suggesting its parent asteroid formed in the outer Solar System.
  • The analyzed samples contain few high-temperature materials like chondrules, yet are abundant in low-temperature formation products like phyllosilicates and carbonates, indicating aqueous alteration in a low temperature, high pH environment.
  • Numerical simulations reveal that Ryugu's parent body likely formed about 2 million years after the Solar System began to develop, based on the mineralogical and physical properties of the samples.
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Background: Key to curtailing the COVID-19 pandemic are wide-scale screening strategies. An ideal screen is one that would not rely on transporting, distributing, and collecting physical specimens. Given the olfactory impairment associated with COVID-19, we developed a perceptual measure of olfaction that relies on smelling household odorants and rating them online.

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Increased blood lipid levels are heritable risk factors of cardiovascular disease with varied prevalence worldwide owing to different dietary patterns and medication use. Despite advances in prevention and treatment, in particular through reducing low-density lipoprotein cholesterol levels, heart disease remains the leading cause of death worldwide. Genome-wideassociation studies (GWAS) of blood lipid levels have led to important biological and clinical insights, as well as new drug targets, for cardiovascular disease.

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Roadmap on Recent Progress in FINCH Technology.

J Imaging

September 2021

Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China.

Fresnel incoherent correlation holography (FINCH) was a milestone in incoherent holography. In this roadmap, two pathways, namely the development of FINCH and applications of FINCH explored by many prominent research groups, are discussed. The current state-of-the-art FINCH technology, challenges, and future perspectives of FINCH technology as recognized by a diverse group of researchers contributing to different facets of research in FINCH have been presented.

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Low nitrogen conditions accelerate flowering by modulating the phosphorylation state of FLOWERING BHLH 4 in .

Proc Natl Acad Sci U S A

May 2021

Faculty of Science, Graduate School of Life Science, Hokkaido University, Sapporo 060-0810, Japan;

Article Synopsis
  • Nitrogen is crucial for plant development, particularly in flowering, and low nitrogen levels can accelerate flowering, though the specific molecular mechanisms are still unclear.
  • Researchers identified the FBH4 transcription factor as a key player in regulating flowering in response to low nitrogen, noting that changes in its phosphorylation state impact its activity.
  • The study also highlights how the protein SnRK1 negatively affects flowering and nutrient recycling under high nitrogen conditions, ultimately showing how nitrogen levels influence flowering time and plant adaptation to nutrient scarcity.
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Microwave irradiation can cause high local temperatures at supported metal nanoparticles, which can enhance reaction rates. Here we discuss the temperature of platinum nanoparticles on γ-AlO and SiO supports under microwave irradiation using the Debye-Waller factor obtained from in situ extended X-ray absorption fine structure (EXAFS) measurements. Microwave irradiation exhibits considerably smaller Deby-Waller factors than conventional heating, indicating the high local temperature at the nanoparticles.

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Annual rings record the intensity of cosmic rays (CRs) that had entered into the Earth's atmosphere. Several rapid C increases in the past, such as the 775 CE and 994CE C spikes, have been reported to originate from extreme solar proton events (SPEs). Another rapid C increase, also known as the ca.

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Genome-wide association studies have identified breast cancer risk variants in over 150 genomic regions, but the mechanisms underlying risk remain largely unknown. These regions were explored by combining association analysis with in silico genomic feature annotations. We defined 205 independent risk-associated signals with the set of credible causal variants in each one.

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Since 2000, many countries have achieved considerable success in improving child survival, but localized progress remains unclear. To inform efforts towards United Nations Sustainable Development Goal 3.2-to end preventable child deaths by 2030-we need consistently estimated data at the subnational level regarding child mortality rates and trends.

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While various technologies for high-throughput genotyping have been developed for ecological studies, simple methods tolerant to low-quality DNA samples are still limited. In this study, we tested the availability of a random PCR-based genotyping-by-sequencing technology, genotyping by random amplicon sequencing, direct (GRAS-Di). We focused on population genetic analysis of estuarine mangrove fishes, including two resident species, the Amboina cardinalfish (Fibramia amboinensis, Bleeker, 1853) and the Duncker's river garfish (Zenarchopterus dunckeri, Mohr, 1926), and a marine migrant, the blacktail snapper (Lutjanus fulvus, Forster, 1801).

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Ceramic phases with one-dimensional long-range order.

Nat Mater

January 2019

Advanced Institute for Materials Research, Tohoku University, Aoba-ku, Sendai, Japan.

Solids are generally classified into three categories based on their atomic arrangement: crystalline, quasicrystalline and amorphous. Here we report MgO and NdO ceramic phases with special atomic arrangements that should belong to a category of solids different from these three well known categories by combining state-of-the-art atomic-resolution scanning transmission electron microscopy and first-principles calculations. The reported solid structure exhibits a one-dimensional (1D) long-range order with a translational periodicity and is composed of structural units that individually have atomic arrangements similar to those observed in coincidence-site lattice configurations present at grain boundaries.

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Stress granules, a type of cytoplasmic RNA granule in eukaryotic cells, are induced in response to various environmental stresses, including high temperature. However, how high temperatures induce the formation of these stress granules in plant cells is largely unknown. Here, we characterized the process of stress granule formation in by combining live imaging and electron microscopy analysis.

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Direct Determination of Atomic Structure and Magnetic Coupling of Magnetite Twin Boundaries.

ACS Nano

March 2018

Advanced Institute for Materials Research , Tohoku University, 2-1-1 Katahira , Aoba-ku, Sendai 980-8577 , Japan.

Clarifying how the atomic structure of interfaces/boundaries in materials affects the magnetic coupling nature across them is of significant academic value and will facilitate the development of state-of-the-art magnetic devices. Here, by combining atomic-resolution transmission electron microscopy, atomistic spin-polarized first-principles calculations, and differential phase contrast imaging, we conduct a systematic investigation of the atomic and electronic structures of individual FeO twin boundaries (TBs) and determine their concomitant magnetic couplings. We demonstrate that the magnetic coupling across the FeO TBs can be either antiferromagnetic or ferromagnetic, which directly depends on the TB atomic core structures and resultant electronic structures within a few atomic layers.

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