Publications by authors named "Konishi S"

Aim: This study aims to investigate the impact of aging on brain volume among community residents in Japan, focusing on trends over time and specific brain structures.

Methods: We analyzed data from the fourth survey (2015-2016) of the Research on Osteoarthritis/Osteoporosis Against Disability project, encompassing 2146 community residents from Japan's mountainous and coastal regions. A total of 1755 participants (81.

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Objectives: We examined shifts in labor productivity and their economic ramifications among adult patients with long COVID in Japan.

Methods: A total of 396 patients were categorized into three groups based on symptom progression: non-long COVID, long COVID recovered, and long COVID persistent. Patient-reported outcomes were assessed at three time intervals: 3, 6, and 12 months after COVID-19 diagnosis.

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Background Context: The effect of romosozumab administration in patients undergoing corrective spinal fusion surgery has not yet been analyzed.

Purpose: To examine the effect of romosozumab administration on reducing the incidence of proximal junctional kyphosis (PJK), particularly PJK due to fractures (PJK-Fx), in patients undergoing spinal corrective fusion surgery.

Design: Retrospective cohort study.

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Article Synopsis
  • - The study explores how the brain processes stopping behaviors when faced with external signals, focusing on the pathways involved in this response inhibition.
  • - Researchers utilized neuroimaging techniques and brain stimulation to map out a four-step processing pathway that starts from the visual cortex and moves through various brain regions before reaching motor control areas.
  • - Findings highlight the crucial roles of specific areas within the insular and prefrontal cortices, revealing how these regions communicate to efficiently inhibit responses, establishing a linked circuit: V1→daINS→vpIFC/aIFC→BG/M1.
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Recently, the usefulness of circulating tumor DNA (ctDNA) analysis in various malignancies has been reported. However, reports on ctDNA analysis in adrenocortical carcinoma (ACC) are few. Therefore, this study aimed to examine the detectability of genetic mutations in ctDNA and the association between ctDNA allelic ratio and disease progression in a patient with post-operative recurrence of ACC.

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Pheochromocytoma is a rare form of adrenal hypertension. This study aimed to investigate the clinical characteristics and associated genetic mutations in patients with pheochromocytoma and primary aldosteronism. We retrospectively analyzed data from 23 patients with pheochromocytoma diagnosed and treated between 2011 and 2022.

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Article Synopsis
  • * It finds that certain genes are unmethylated in the zona fasciculata (ZF) but heavily methylated in the zona glomerulosa (ZG) and reticularis (ZR), affecting the expression of CYP11B enzymes.
  • * The results suggest that aldosterone synthesis might occur in the adrenal medulla, and further research is needed to understand its implications.
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The hypothalamus maintains homeostasis by controlling various organs and the central nervous system, but analyzing the human hypothalamic nuclei is challenging. Our previous studies applied areal parcellation to high-resolution functional magnetic resonance imaging (fMRI) data to delineate hypothalamic nuclei boundaries. This article presents stereotaxic coordinates of these nuclei for fMRI analyses, offering guidance on defining regions of interest and appropriate spatial smoothing kernel sizes.

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This study investigates a novel microfluidic mixing technique that uses the resonant oscillation of coalescent droplets. During the vertical contact-separation process, solutes are initially separated as a result of the combined effects of diffusion and gravity. We show that the application of alternating current (AC) voltage to microelectrodes below the droplets causes a resonant oscillation, which enhances the even distribution of the solute.

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leaf spot on hemp has re-emerged with increasing hemp cultivation worldwide. In Japan, , initially recorded as the causal pathogen in Japan, was studied with morphology based on the current criteria and detailed molecular phylogenetic analyses using seven gene loci. The robust phylogenetic data and morphology of examined specimens unveiled the existence of a new species of the genus causing leaf spot disease on .

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Article Synopsis
  • Acute traumatic dislocation of the thumb carpometacarpal (CMC) joint without fractures is very rare in pediatric patients.
  • The case study outlines an 11-year-old boy with recurrent thumb dislocation linked to generalized hyperjoint laxity, despite initial surgical attempts to repair it.
  • The recommended treatment for such cases is Eaton-Littler's ligament reconstruction, which effectively stabilizes the thumb CMC joint by reconstructing key ligaments using a tendon from the forearm.
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Radiology reports are an essential communication method for ensuring smooth workflow in healthcare. However, many of these reports are described in free text, and findings documented by radiologists may not be adequately addressed. In this study, focusing on pulmonary nodules, we evaluated whether cases in which radiologists described follow-up as recommended were receiving appropriate treatment.

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Damage to the posterior language area (PLA), or Wernicke's area causes cortical reorganization in the corresponding regions of the contralateral hemisphere. However, the details of reorganization within the ipsilateral hemisphere are not fully understood. In this context, direct electrical stimulation during awake surgery can provide valuable opportunities to investigate neuromodulation of the human brain in vivo, which is difficult through the non-invasive approaches.

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A series of isostructural reticular frameworks with systematic differences on chemical structures allows us to disclose correlations between specific structural factors and properties, providing insights for designing novel porous materials. However, even slight differences in the molecular structure often lead to non-isostructural polymorphic frameworks particularly in the case of hydrogen-bonded organic frameworks (HOFs) because the structures of HOFs are based on a subtle balance of reversible interactions. In this study, we found that three simple analogues of tetracarboxylic acids with naphthalene, quinoxaline, and pyrazinopyrazine cores (NT, QX, and PP, respectively) yielded isostructural solvated HOFs (NT-1, QX-1, and PP-1, respectively), where hydrogen-bonded sql-networked sheets were slip-stacked with closely similar manners.

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Background: Pretraining large-scale neural language models on raw texts has made a significant contribution to improving transfer learning in natural language processing. With the introduction of transformer-based language models, such as bidirectional encoder representations from transformers (BERT), the performance of information extraction from free text has improved significantly in both the general and medical domains. However, it is difficult to train specific BERT models to perform well in domains for which few databases of a high quality and large size are publicly available.

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  • * Researchers created a diagnostic model to identify patients at risk for ischemic heart disease (IHD) and stroke using health examination data from over 473,000 individuals aged 40 and older.
  • * The best-performing machine learning model (XGBoost) showed high accuracy in predicting CCVD outcomes, and the study identified lifestyle factors affecting disease risk, specifically linking reduced chewing to weight gain.
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Skeletal muscle mass is critical for activities of daily living. Resistance training maintains or increases muscle mass, and various strategies maximize the training adaptation. Mesenchymal stem cells (MSCs) are multipotent cells with differential potency in skeletal muscle cells and the capacity to secrete growth factors.

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Background: It is known that the mortality of pneumonia in patients with risk factors for aspiration is worse than that in those without these risk factors. However, it is still unknown which risk factors for aspiration predict prognosis. Therefore, we aimed to determine which risk factors for aspiration are associated with death or prolonged hospitalization.

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Implementing a signal-switching mechanism for the selective use of integrated sensors and actuators plays a crucial role in streamlining the functionality of miniaturized devices. Here, a liquid metal droplet (LMD)-based signal-switching mechanism is introduced to achieve such functionality. Pressure modulation with a 100-μm spatial resolution enabled precise control of the position of the LMDs within a channel.

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Low-intensity focused transcranial ultrasound stimulation (TUS) is an emerging noninvasive technique capable of stimulating both the cerebral cortex and deep brain structures with high spatial precision. This method is recognized for its potential to comprehensively perturb various brain regions, enabling the modulation of neural circuits, in a manner not achievable through conventional magnetic or electrical brain stimulation techniques. The underlying mechanisms of neuromodulation are based on a phenomenon where mechanical waves of ultrasound kinetically interact with neurons, specifically affecting neuronal membranes and mechanosensitive channels.

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  • Dilated cardiomyopathy (DCM) shows varied clinical outcomes that are not always predictable by left ventricular ejection fraction (LVEF), prompting the study of longitudinal strain (LS) patterns for better insights.
  • The study involved 139 DCM patients with LVEF ≤ 35%, assessing LS distribution through a bull's eye map and relative apical LS index (RapLSI), to determine its relationship with cardiac events and changes in LVEF.
  • Results indicated that patients with impaired apical LS patterns faced more cardiac events and showed less improvement in heart function compared to those with different LS patterns, highlighting the importance of LS distribution in predicting patient outcomes in DCM.
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Background: Robots offer many unique opportunities for helping individuals with autism spectrum disorders (ASD). Determining the optimal motion of robots when interacting with individuals with ASD is important for achieving more natural human-robot interactions and for exploiting the full potential of robotic interventions. Most prior studies have used supervised machine learning (ML) of user behavioral data to enable robot perception of affective states (i.

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For mucociliary clearance of pathogens, tracheal multiciliated epithelial cells (MCCs) organize coordinated beating of cilia, which originate from basal bodies (BBs) with basal feet (BFs) on one side. To clarify the self-organizing mechanism of coordinated intracellular BB-arrays composed of a well-ordered BB-alignment and unidirectional BB-orientation, determined by the direction of BB to BF, we generated double transgenic mice with GFP-centrin2-labeled BBs and mRuby3-Cep128-labeled BFs for long-term, high-resolution, dual-color live-cell imaging in primary-cultured tracheal MCCs. At early timepoints of MCC differentiation, BB-orientation and BB-local alignment antecedently coordinated in an apical microtubule-dependent manner.

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We implemented a multilingual medical questionnaire system, which allows patients to answer questionnaires both in and out of the hospital. The response data are sent to and stored as structured data on the server in hospital information system, and could be converted to Japanese and quoted as part of progress notes in the electronic medical record.

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A radiology report is prepared for communicating clinical information about observed abnormal structures and clinically important findings with referring clinicians. However, such observations and findings are often accompanied by ambiguous expressions, which can prevent clinicians from accurately interpreting the content of reports. To systematically assess the degree of diagnostic certainty for each observation and finding in a report, we defined an ordinal scale comprising five classes: definite, likely, may represent, unlikely, and denial.

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