Explanipedia

Physics-Informed Neural Networks for Speech Production Open

Kazuya Yokota, Ryosuke Harakawa, Masaaki Baba, Masahiro Iwahashi · 2025

The analysis of speech production based on physical models of the vocal folds and vocal tract is essential for studies on vocal-fold behavior and linguistic research. This paper proposes a speech production analysis method using physics-in…

Clear cell meningioma of the lower lumbar spine without dural attachment: A case report Open

Sakura Shiraishi, Kazuya Yokota, Takumi Tomonaga, Taro Mori, Kenichi Kawaguchi , et al. · 2025

Rationale: Clear cell meningioma (CCM) is a rare and aggressive subtype of meningioma, classified as Grade II by the World Health Organization due to its higher recurrence risk. While CCMs predominantly arise in the cerebellopontine angle,…

Synthesis of voiced sounds using physics-informed neural networks Open

Kazuya Yokota, Masataka Ogura, Masajiro ABE · 2024

Recently, physics-informed neural networks (PINNs) have garnered attention for use as a numerical simulation method for inverse analysis, such as property identification. However, studies on PINNs for conducting acoustic analysis are scarc…

Detection of Internal Defects in Concrete Structures Based on Machine Learning Using Hammering Response Data Containing Artificial Noise (Evaluation of Machine Learning Models with High Generalization Performance) Open

Kazuki Yamamoto, Takahiko KURAHASHI, Yuki Murakami, Fujio IKEDA, Kazuya Yokota , et al. · 2024

Aging of concrete structures has become a serious problem in Japan, and periodic maintenance is essential for preventing accidents caused by structural aging. In this study, a method for estimating defects in concrete from hammering test d…

Identification of Physical Properties in Acoustic Tubes Using Physics-Informed Neural Networks Open

Kazuya Yokota, Masataka Ogura, Masajiro ABE · 2024

Physics-informed Neural Networks (PINNs) is a method for numerical simulation that incorporates a loss function corresponding to the governing equations into a neural network. While PINNs have been explored for their utility in inverse ana…

Temporal dynamics of gait function in acute cervical spinal cord injury Open

Hiroki Okayasu, Tetsuo Hayashi, Kazuya Yokota, Osamu Kawano, Hiroaki Sakai , et al. · 2024

Background Following spinal cord injury (SCI), gait function reaches a post-recovery plateau that depends on the paralysis severity. However, the plateau dynamics during the recovery period are not known. This study aimed to examine the ga…

Changing trends in traumatic spinal cord injury in an aging society: Epidemiology of 1152 cases over 15 years from a single center in Japan Open

Kazuya Yokota, Hiroaki Sakai, Osamu Kawano, Yuichiro Morishita, Muneaki Masuda , et al. · 2024

Traumatic spinal cord injury (TSCI) causes an insult to the central nervous system, often resulting in devastating temporary or permanent neurological impairment and disability, which places a substantial financial burden on the health-car…

Halo vest fixation effectively maintains cervical alignment through intraoperative repositioning in patients with cervical spine instability Open

T. Arita, Osamu Kawano, Hiroaki Sakai, Yuichiro Morishita, Muneaki Masuda , et al. · 2024

Identification of physical properties in acoustic tubes using physics-informed neural networks Open

Kazuya Yokota, Masataka Ogura, Masajiro ABE · 2024

Physics-informed Neural Networks (PINNs) is a method for numerical simulation by introducing a loss function with respect to the governing equations into a neural network. Although PINNs has been studied for its usefulness in the field of …

Verification of the Accuracy of Cervical Spinal Cord Injury Prognosis Prediction Using Clinical Data-Based Artificial Neural Networks Open

Jun Kishikawa, Kazu Kobayakawa, Hirokazu Saiwai, Kazuya Yokota, Kensuke Kubota , et al. · 2024

Background: In patients with cervical spinal cord injury (SCI), we need to make accurate prognostic predictions in the acute phase for more effective rehabilitation. We hypothesized that a multivariate prognosis would be useful for patient…

Physics-informed Neural Networks for characteristic identification of noise control systems Open

Kazuya Yokota, Masataka Ogura, Masajiro ABE · 2024

Development of thermal simulation method using Physics-informed Neural Networks Open

Kazuya Yokota, M. Kojima, Kazuma OTSUKI, Masataka Ogura, Masaaki Baba · 2024

Zinc deficiency impairs axonal regeneration and functional recovery after spinal cord injury by modulating macrophage polarization via NF-κB pathway Open

Ken Kijima, Gentaro Ono, Kazu Kobayakawa, Hirokazu Saiwai, Masamitsu Hara , et al. · 2023

Background Spinal cord injury (SCI) is a devastating disease that results in permanent paralysis. Currently, there is no effective treatment for SCI, and it is important to identify factors that can provide therapeutic intervention during …

Physics-informed neural network for acoustic resonance analysis in a one-dimensional acoustic tube Open

Kazuya Yokota, Takahiko KURAHASHI, Masajiro ABE · 2023

This study devised a physics-informed neural network (PINN) framework to solve the wave equation for acoustic resonance analysis. The proposed analytical model, ResoNet, minimizes the loss function for periodic solutions and conventional P…

Human Spinal Oligodendrogenic Neural Progenitor Cells Enhance Pathophysiological Outcomes and Functional Recovery in a Clinically Relevant Cervical Spinal Cord Injury Rat Model Open

Katarzyna Pieczonka, Hiroaki Nakashima, Narihito Nagoshi, Kazuya Yokota, James Hong , et al. · 2023

Traumatic spinal cord injury (SCI) results in the loss of neurons, oligodendrocytes, and astrocytes. Present interventions for SCI include decompressive surgery, anti-inflammatory therapies, and rehabilitation programs. Nonetheless, these …

Intraoperative Radiation Exposure from O-arm-based 3D Navigation in Spine Surgery Open

Kazuya Yokota, Osamu Kawano, Hiroaki Sakai, Yuichiro Morishita, Muneaki Masuda , et al. · 2023

Intraoperative radiation exposure from O-arm imaging was lower than the national diagnostic reference levels in Japan established based on the International Commission on Radiological Protection publication, demonstrating its safety from t…

Zinc deficiency impairs functional recovery after spinal cord injury by promoting NF-κB activity in macrophages Open

Ken Kijima, Seiji Okada, Kazu Kobayakawa, Hirokazu Saiwai, Gentaro Ono , et al. · 2023

Background Spinal cord injury (SCI) is a devastating disease that results in permanent paralysis. Currently, there is no effective treatment for SCI, and it is important to identify factors that can provide therapeutic intervention during …

Time Course and Characteristics of the Nutritional Conditions in Acute Traumatic Cervical Spinal Cord Injury Open

Tetsuo Hayashi, Yuichi Fujiwara, Muneaki Masuda, Kensuke Kubota, Hiroaki Sakai , et al. · 2022

Nutritional conditions showed significant gradual improvements from 1 month after the injury. We must pay attention to undernutrition, which is associated with dysphagia, especially in individuals with severe paralysis during the acute pha…

Diaphragm pacing implantation in Japan for a patient with cervical spinal cord injury: A case report Open

Kazuya Yokota, Muneaki Masuda, Ryuichiro Koga, Masatoshi Uemura, Tadashi Koga , et al. · 2022

Rationale: Traumatic cervical spinal cord injury (SCI) is a devastating condition leading to respiratory failure that requires permanent mechanical ventilation, which is the main driver of increased medical costs. There is a great demand f…

Incidence and risk factors of pneumonia following acute traumatic cervical spinal cord Injury Open

Tetsuo Hayashi, Yuichi Fujiwara, Osamu Kawano, Yūzō Yamamoto, Kensuke Kubota , et al. · 2022

It was highly likely that the pneumonias following CSCI were related to aspiration based on the Dysphagia Severity Scale. In addition, most of the patients developed aspiration pneumonia within 1 month after injury. Aspiration and severe p…

Significance of the neurological level of injury as a prognostic predictor for motor complete cervical spinal cord injury patients Open

Osamu Kawano, Takeshi Maeda, Hiroaki Sakai, Muneaki Masuda, Yuichiro Morishita , et al. · 2021

Objective: To investigate the usefulness of the combination of neurological findings and magnetic resonance imaging (MRI) as a prognostic predictor in patients with motor complete cervical spinal cord injury (CSCI) in the acute phas…

Acute spinal subdural hematoma Open

Kazuya Yokota, Osamu Kawano, Hironari Kaneyama, Takeshi Maeda, Yasuharu Nakashima · 2020

Rationale: Spontaneous spinal subdural hematoma (SSDH) is a rare disease that can cause severe permanent neurological dysfunction. Here we present a case of spontaneous SSDH, in which a series of magnetic resonance images (MRIs) taken thro…

Acidic Fibroblast Growth Factor in Spinal Cord Injury: A Potential Therapy Which Merits Further Investigation Open

Kazuya Yokota, Michael G. Fehlings · 2019

In the current issue of Neurospine, Ko et al. 1 reviewed the traumatic spinal cord injury (SCI) clinical trials completed this decade; focusing on the application of acidic fibroblast growth factor (aFGF) to promote neural regeneration.FGF…

Regeneration of Spinal Cord Connectivity Through Stem Cell Transplantation and Biomaterial Scaffolds Open

Hiroyuki Katoh, Kazuya Yokota, Michael G. Fehlings · 2019

Significant progress has been made in the treatment of spinal cord injury (SCI). Advances in post-trauma management and intensive rehabilitation have significantly improved the prognosis of SCI and converted what was once an "ailment not t…

Macrophage centripetal migration drives spontaneous healing process after spinal cord injury Open

Kazu Kobayakawa, Yasuyuki Ohkawa, Shingo Yoshizaki, Tetsuya Tamaru, Takeyuki Saito , et al. · 2019

Migration of macrophages via IRF8 toward a core lesion is important for the spontaneous recovery after spinal cord injury.

Progression of local kyphosis after conservative treatment for compressive cervical spine fracture with spinal cord injury Open

Kazuya Yokota, Takeshi Maeda, Osamu Kawano, Eiji Mori, Tsuneaki Takao , et al. · 2019

The acute phase serum zinc concentration is a reliable biomarker for predicting the functional outcome after spinal cord injury Open

Ken Kijima, Kensuke Kubota, Masamitsu Hara, Kazu Kobayakawa, Kazuya Yokota , et al. · 2019

The acute-phase serum zinc concentration could be a useful biomarker for predicting the functional prognosis. This simple method will allow for more objective clinical trials and the development of patient-tailored treatment for SCI.

Pathological changes of distal motor neurons after complete spinal cord injury Open

Kazuya Yokota, Kensuke Kubota, Kazu Kobayakawa, Takeyuki Saito, Masamitsu Hara , et al. · 2019

Traumatic spinal cord injury (SCI) causes serious disruption of neuronal circuits that leads to motor functional deficits. Regeneration of disrupted circuits back to their original target is necessary for the restoration of function after …

Additional file 2: of Pathological changes of distal motor neurons after complete spinal cord injury Open

Kazuya Yokota, Kensuke Kubota, Kazu Kobayakawa, Takeyuki Saito, Masamitsu Hara , et al. · 2019

Figure S2. Lumbar motor neurons in the distal spinal cord are not lost after SCI. Both the area (A) and the number (B) of lumbar motor neurons are comparable between the Naive group and Tx3m groups (n = 8 mice per group). *P 0.05), Wilcoxo…

Human Oligodendrogenic Neural Progenitor Cells Delivered with Chondroitinase ABC Facilitate Functional Repair of Chronic Spinal Cord Injury Open

Satoshi Nori, Mohamad Khazaei, Christopher S. Ahuja, Kazuya Yokota, Jan-Eric Ahlfors , et al. · 2018

Kazuya Yokota YOU? Author Swipe