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外乱オブザーバの統一理論の構築に向けた包含関係と有効性の理論的解析
Full text link九州工業大学九州工業大学博士学位論文（要旨）学位記番号: 情工博甲第409号 学位授与年月日:令和7年3月25日thesi
メカノケミカル法を用いたセルロースエステルの合成戦略と材料の評価
Full text link九州工業大学九州工業大学博士学位論文（要旨）学位記番号: 生工博甲第511号 学位授与年月日:令和7年3月25日thesi
Performance of in-materio physical reservoir computing devices based on highly oriented semiconducting polymer thin films
Full text linkPhysical reservoir computing (PRC) harnesses the intrinsic nonlinear dynamics of physical systems for efficient temporal data processing, offering significant advantages in energy-efficient hardware implementation. This study explores the potential of oriented semiconducting polymer (SCP) thin films as reservoirs for PRC, focusing on two types of SCP benzo[c]cinnoline-based conjugated polymer diketopyrrolopyrrole benzo[c]cinnoline p(DPP-BZC) and regioregular poly(3-hexyl thiophene) (RR-P3HT). To enable anisotropic charge transport, uniaxially oriented thin films with edge-on molecular orientation were fabricated using the floating film transfer method. The films were electrically evaluated for anisotropic nonlinear responses, phase-shifting capabilities, and high-dimensional mapping in PRC tasks. Performance metrics, including waveform generation accuracy, were systematically investigated under varying device configurations and molecular structures. The study underscores the critical role of different conjugated polymers and their orientations in PRC performance, paving the way for developing next-generation materials for temporal signal processing and low-power intelligent hardware.journal articl
Emergence of novel-path sequences during a maze task in hippocampal CA3 spiking neural network model
Full text linkHippocampal neurons that representing the animal's self-location are called “place cells”. During the maze task, sequential firing of place cells during exploration is reproduced as fast synchronous firing during rest in rodents, which is called hippocampal replay. Reverse replays firing in the reverse order of the path occur, and replays of pathways not experienced by the rats also occur. The majority of the replays of pathways not experienced represent shortcuts to reward points in the maze. These observations suggest that hippocampal replay contributes to spatial learning. However, there is a lack of spiking neural networks with mechanisms for the emergence of replays of shortcut pathways. In this study, we constructed a spiking neural network of the hippocampal CA3 region. We propose a possible mechanism by which shortcut replays are acquired through synaptic plasticity during a figure-eight maze exploration. In the proposed hippocampal spiking network, the combination of forward and reverse replays results in shortcut replays.journal articl
An Analytical Method for Human Gait Analysis and Exoskeletal Design Optimization Using Flexible Multibody Dynamics with ANCF
Full text linkUnderstanding human joint dynamics is paramount in order to apply this understanding of how muscles regulate human movement and gait to rehabilitation. Coupling with spring-damper components, flexible bodies, and contact forces analytically improves the reliability of biomechanical models. Our research presents step-by-step analytics that integrate human criticality. The Absolute Nodal Coordinate Formulation (ANCF) is precisely designed to express the viscoelasticity and flexible movement of the human body. In addition, the contact force model simulates the contact between different body segments. Our research method is used in Multibody Dynamics (MBD) human joint motion analysis and application to the sliding crank mechanism. Flexible Multibody Dynamic (fMBD) with ANCF aims to support exoskeleton performance through nonlinear viscoelastic force analysis of Carbon Fiber Reinforced Plastic (CFRP) joint in humans. Our real experimental result showed that the compressive force value increases to 1.4-newton force value as maximum value as the reference value for the computer simulation.journal articl
High TCR Degeneracy Enhances Antiviral Efficacy of HTLV-1-Specific CTLs by Targeting Variant Viruses in HAM Patients
Full text linkT-cell receptors (TCRs) exhibit degeneracy, enabling individual TCRs to recognize multiple altered peptide ligands (APLs) derived from a single cognate antigen. This characteristic has been involved in the pathogenesis of autoimmune diseases through cross-reactivity between microbial and self-antigens. Cytotoxic T lymphocytes (CTLs), which recognize peptide–MHC class I complexes via TCRs, play a critical role in the immune response against viral infections. However, the extent to which TCR degeneracy within a population of virus-specific CTLs contributes to effective viral control remains poorly understood. In this study, we investigated the magnitude and functional relevance of TCR degeneracy in CTLs targeting an immunodominant epitope of human T-cell leukemia virus type 1 (HTLV-1) in patients with HTLV-1-associated myelopathy (HAM). Using peripheral blood mononuclear cells (PBMCs) from these patients, we quantified TCR degeneracy at the population level by comparing CTL responses to a panel of APLs with responses to the cognate epitope. Our findings demonstrated that increased TCR degeneracy, particularly at the primary TCR contact residue at position 5 of the antigen, was inversely correlated with HTLV-1 proviral load (p = 0.038, R = −0.40), despite similar functional avidity across patient-derived CTLs. Viral sequencing further revealed that CTLs with high TCR degeneracy exerted stronger selective pressure on the virus, as indicated by a higher frequency of nonsynonymous substitutions within the epitope-encoding region in patients with highly degenerate TCR repertoires. Moreover, TCR degeneracy was positively correlated with the recognition rate of epitope variants (p = 0.018, R = 0.76), suggesting that CTLs with high TCR degeneracy exhibited enhanced recognition of naturally occurring epitope variants compared to those with low TCR degeneracy. Taken together, these results suggest that virus-specific CTLs with high TCR degeneracy possess superior antiviral capacity, characterized by broadened epitope recognition and more effective suppression of HTLV-1 infection. To our knowledge, this is the first study to systematically quantify TCR degeneracy in HTLV-1-specific CTLs and evaluate its contribution to viral control in HAM patients. These findings establish TCR degeneracy as a critical determinant of antiviral efficacy and provide a novel immunological insight into the mechanisms of viral suppression in chronic HTLV-1 infection.journal articl
CFRPを用いた超高速衝突時のイジェクタ評価とその抑制方法の検証
Full text linkCurrently, a large amount of space debris orbits the Earth at extremely high speeds, posing a major threat to spacecraft. In geostationary orbit, where many satellites operate, debris is difficult to remove naturally and tends to accumulate, raising concerns about its potential impact on operations. Furthermore, when debris collides with a spacecraft, secondary debris called ejecta is generated. In this study, we conducted hypervelocity impact tests using CFRP (carbon fiber reinforced plastics), a material used in spacecraft, as a target to verify the extent to which ejecta is generated. Additionally, we investigated changes in the amount of ejecta produced by conducting experiments using irradiated CFRP, as well as polyimide foam and silica aerogel as cushioning materials.現在、地球の軌道上には大量のスペースデブリが存在している。このデブリは極めて高速で周回しており、宇宙機にとって大きな脅威となっている。多くの衛星が運用されている静止軌道ではデブリは自然除去されにくく、蓄積されやすいため、運用に影響を及ぼす可能性が懸念されている。さらにデブリが宇宙機に衝突するとイジェクタと呼ばれる⼆次デブリが発生する。そこで本研究では宇宙機に使用される材料であるCFRP をターゲットとして超高速衝突試験を実施し、どの程度イジェクタが発生するかを検証した。さらに放射線を照射されたCFRP や、ポリミドフォームとシリカエアロゲルを緩衝材として使用した実験を行うことでイジェクタの発生量の変化を調べた。conference presentatio
Forecasting the Wearing-Off Phenomenon in Parkinson's Disease
No full textThe task of forecasting wearing-off has been investigated by many researchers.
The wearing-off phenomenon in Parkinson's patients causes difficulty in walking, sleeping, speaking, and mental functions, among other areas.
Since this problem can be avoided by taking medication in advance, it is important to forecast the onset of wearing-off.
In the ubiquitous computing field, using human activity recognition (HAR) techniques with sensor data has been actively applied.
In this 5th ABC Challenge, we set a task to forecast wearing-off in Parkinson’s patients in advance.
For this task, we published mainly four types of data, (1) Wearable sensor data from Garmin worn by Parkinson’s patients, (2) wearing-off data, (3) drug intake data after wearing-off occurs, and (4) participants’ information data.
As a result, five teams participated and showed a best F1-score of 0.496.
In addition, analysis using several types of feature importance and a comparison of prediction algorithms were conducted.
Furthermore, since these data have an imbalanced data problem, ensemble learning was shown to be useful.journal articl