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Abstract Background Prenatal education improves maternal and neonatal outcomes. Ultrasound-guided visual biofeedback provides real-time visualization of fetal head movement, enabling expectant mothers to refine their pus...

Abstract Introduction A substantial proportion of patients with bipolar disorder experience daily variability in mood that seems associated with poor prognostic factors, including impaired functioning, and increased risk...

Abstract Echo State Networks are recurrent neural networks that leverage a random reservoir’s dynamics, training only a simple readout layer. This approach is computationally efficient but limits network performance. B...

University physical education (PE) is increasingly expected to foster physical literacy by integrating movement competence with cognitive understanding and intrinsic motivation. However, rigorous evidence regarding the e...

IntroductionCognitive reappraisal is widely regarded as adaptive; however, strategies that impose control to reduce unpleasant emotion may involve tradeoffs when individuals encounter personally meaningful reminders of p...

Background and Study Aim. Postural control is a fundamental skill that emerges from the interaction between the central nervous system and sensorimotor structures. It enables the maintenance of body balance and plays a c...

The accurate ascertainment of injury epidemiology within a target population is the first step in sports injury prevention. However, in regional collegiate American football leagues in Japan, collected surveillance data ...

IntroductionReliable classification of lung nodules from computed tomography (CT) images remains a challenging problem due to variations in image intensity, noise, and unstable feature representations during deep network...

Abstract Monitoring actions and outcomes is essential for flexible adaptation to environmental demands. Information about errors is important regardless of whether it is internally generated or externally signaled. Follo...

Abstract The growing integration of renewable energy in both islanded and interconnected microgrids has rendered Cyber-physical stability and resilience a vital area of research. Conventional controllers, including PID a...

Indoor hydroponics offers a promising pathway toward sustainable urban agriculture, but its effectiveness depends on precise environmental control. This study presents a compact, energy-efficient hydroponic system that u...

This paper proposes a multimodal perception-fusion-based control method for flexible exoskeleton robots to address challenges in human–robot collaboration and interaction accuracy. First, after analyzing the human–ro...

Wheel-legged robots offer high mobility on flat terrain and adaptability in complex environments, yet achieving stable motion under uncertain ground conditions and during height variations poses significant control chall...

Abstract Control of frontal plane mechanics requires active integration of sensory feedback to regulate stability in response to gait perturbations, such as split‐belt walking (SBW). In comparison to sagittal plane mec...

Abstract Electroencephalographic neurofeedback (EEG-NF) has been proposed as a promising technique to modulate brain activity through real-time EEG-based feedback. Alpha neurofeedback in particular is believed to induce ...

This paper proposes a high-frequency wireless power transfer (WPT) system. This system achieves zero-voltage switching (ZVS) and the constant current (CC) and constant voltage (CV) outputs regardless of load variations a...

Background: Cognitive disorder is caused by hyperglycemia and insulin resistance in type 2 diabetes. Elevated glycemic levels contribute to neural damage and exacerbate cognitive decline, strict glucose control is requir...

Abstract This study explores the use of an upper-limb wearable exoskeleton for teaching violin technique to novices through haptic-assisted training. The educational potential of this technology was evaluated using a fra...

Abstract Background In the neurorehabilitation framework of treadmill-based robot-assisted gait training (t-RAGT), a threefold relationship among physiotherapist (Pht), patient (Pt), and the selected robotic device shoul...

Abstract Top-down trophic interactions are major drivers of microbiome dynamics, yet their outcomes are difficult to predict and their consequences for pathogen control remain unclear. We combine synthetic bacterial comm...

Abstract Background This pilot randomized controlled trial evaluated the effectiveness of an artificial intelligence (AI)–assisted solo workflow for intraoral photography training. The study examined whether real‑tim...

Abstract We propose a method that enables large language models (LLMs) to control embodied agents through the generation of control policies that directly map continuous observation vectors to continuous action vectors. ...

Abstract Transcriptional master regulators drive cell fate transitions. Peroxisome proliferator-activated receptor γ (PPARγ) is the master regulator of adipogenesis, and its expression must therefore be tightly regulat...

Hand dexterity assessments play a crucial role in informing the rehabilitative care of individuals with upper-limb hemiparesis. However, current assessments often struggle to evaluate the hand’s ability to precise...