본 자료는 전 세계 과학 온라인 저널에 게재된 운동학 관련 영문 논문 및 특허를 엄선하여 정리한 최신 자료입니다. 운동학, 상대 속도, 상대 가속도, 궤적, 체비셰프 정리, 쿠츠바흐 정리, 자유 낙하, 각속도, 각가속도, 포물체 운동, 평균 속도, 평균 가속도 등의 주제를 중심으로 분류 및 분석했습니다.
Neurophysiological mechanisms of optimized graphomotor performance in biscriptuals
Published on 2026-06-05 by @MIT
Abstract: AbstractMany literate adults master two writing systems: a phenomenon termed biscriptuality. Biscriptuals do not just juggle two scripts—their graphomotor coordination also generally outperforms that of monoscriptuals, suggesting that some components of their motor system have been optimized. To uncover the neurocognitive foundations of this biscriptual advantage, we synchronized a loop-tracing task on a digitizing tablet with electroencephalographical (EEG) recordings. Theta (4–7 Hz) and be[...]
Our summary: This study investigates the neurophysiological mechanisms underlying optimized graphomotor performance in biscriptuals. Biscriptuals demonstrate superior tracing frequency and stability compared to monoscriptuals, linked to lower frontal theta power. The findings suggest that prefrontal and sensorimotor components play a crucial role in handwriting control and predictive modeling.
neurophysiology, biscriptuality, graphomotor performance, EEG
Publication
A multicenter, longitudinal, deformation-based morphometry study
Published on 2026-06-04 by @MIT
Abstract: AbstractAmyotrophic lateral sclerosis (ALS) is clinically and biologically heterogeneous, yet data-driven imaging subtyping approaches have rarely been validated longitudinally or linked to clinical and survival outcomes. We aimed to identify and validate distinct ALS subtypes and disease stages using deformation-based morphometry (DBM) and the Subtype and Stage Inference (SuStaIn) model, and to characterize their cross-sectional and longitudinal imaging, clinical, cognitive, and survival profil[...]
Our summary: This study identifies and validates distinct subtypes and stages of amyotrophic lateral sclerosis (ALS) using deformation-based morphometry and the SuStaIn model. It analyzes data from 198 ALS patients and demonstrates high longitudinal consistency in subtype assignments. The findings clarify disease trajectories and support the use of SuStaIn for patient stratification and clinical trial enrichment in ALS.
deformation-based morphometry, amyotrophic lateral sclerosis, longitudinal study, imaging subtyping
Publication
Non-specific increase in alpha power during a neurofeedback session targeting its downregulation
Published on 2026-05-29 by @MIT
Abstract: AbstractElectroencephalographic neurofeedback is often assumed to provide volitional control over neural oscillations, with the alpha rhythm regarded as a particularly accessible target. Yet, evidence supporting single-session alpha modulation remains controversial, largely because of insufficient controls for non-specific influences such as time-on-task effects. This study examined whether individuals can downregulate alpha parietal-scalp power during a single neurofeedback session while contro[...]
Our summary: This study investigated the ability to downregulate alpha power during neurofeedback sessions. Results showed non-specific increases in alpha power across all groups, regardless of feedback type or direction. The findings emphasize the importance of methodological rigor in neurofeedback research.
neurofeedback, alpha power, oscillatory activity, methodological controls
Publication
Dynamics-informed priors (DIP) for neural mass modelling
Published on 2026-05-29 by @MIT
Abstract: AbstractNeural mass models (NMMs) are important mathematical tools for inferring hidden neural mechanisms that generate healthy and pathological brain activities. A critical step in the inference process is parameter estimation, which calibrates NMMs based on measured neuroimaging data. While parameter estimation can be conducted via various approaches, one of the most influential methods is dynamic causal modelling (DCM). DCM adopts a Bayesian inference approach that relies on, and is sensitive[...]
Our summary: This study introduces dynamics-informed priors (DIP) for neural mass modelling to improve parameter estimation. DIP-DCM uses a genetic algorithm to optimize parameter values based on model dynamics. Results show that DIP-DCM outperforms standard DCM and standalone genetic algorithms in predicting neuroimaging data.
Neural mass models, Dynamic causal modelling, Parameter estimation, Bayesian inference
Publication
Rocket engine-based payload transporter
Patent published on the 2026-05-28 in US under Ref US20260145817 by BLUE ORIGIN MFG LLC [US] (Squyres Steven W [us], Johnson Stephen [us])
Abstract: A propulsion-based payload transporter (PPT) and methods of its operation are provided. The PPT may operate in a gravitational field such as that on the lunar surface. Via rocket engines that produce thrust, the PPT is configured to descend onto and over a payload to be moved. Once in position with respect to the payload, latches engage with the payload so as to secure the payload in a payload holding bay of the PPT. The rocket engines produce thrust with an exhaust plume that is angled away fro[...]
Our summary: The propulsion-based payload transporter (PPT) utilizes rocket engines to secure and transport payloads. It operates in gravitational fields, such as the lunar surface, by descending onto the payload. The engines produce thrust angled away from the payload to prevent damage during movement.
rocket engine, payload transporter, thrust production, lunar operation
Patent
System and method for visual anemometry using flow-structure interactions
Patent published on the 2026-05-28 in US under Ref US20260147013 by CALIFORNIA INST OF TECHNOLOGY [US] (Goldshmid Roni [us], Dabiri John Oluseun [us], Sader John E [us])
Abstract: Systems and methods for determining wind speed are disclosed. The system includes a video capture device (e.g., a smartphone camera, a drone-mounted camera, or a satellite) to capture a video time-series of a pre-existing flexible object, such as natural vegetation, interacting with a wind flow. A processor is configured to analyze the video time-series to extract kinematic features of the object s motion and determine a quantitative wind speed. In one embodiment, a physics-informed neural netwo[...]
Our summary: The system uses video capture devices to analyze flexible objects interacting with wind flow. A processor extracts kinematic features to determine wind speed. Various embodiments utilize physics-informed neural networks and first-principles formulas for accurate measurements.
visual anemometry, wind speed measurement, flow-structure interactions, neural networks
Patent
Blind-spot detection and accident prevention for vehicles
Patent published on the 2026-05-28 in US under Ref US20260148638 by VOLVO CAR CORP [SE] (Perez Barrera Oswaldo [se])
Abstract: Techniques for object identification and accident prevention for vehicles in hazardous (e.g., low visibility) conditions are provided. In an example, a method comprises detecting, by a system onboard a vehicle comprising a processor, presence of vehicles and determining respective location, size, trajectory or speed of the detected vehicles. The method can further comprise detecting, by the system, presence of objects or pedestrians and determining respective location, size, trajectory or speed [...]
Our summary: The method detects vehicles, objects, and pedestrians, determining their location, size, trajectory, and speed. It analyzes this data to predict collision risks. Warnings are issued based on the predicted risks to enhance safety.
Blind-spot detection, accident prevention, object identification, collision prediction
Patent
Method of controlling robot, and robot system
Patent published on the 2026-05-28 in US under Ref US20260145327 by SEIKO EPSON CORP [JP] (Iwazaki Tomohisa [jp], Arakawa Yutaka [jp])
Abstract: There is provided a method of controlling a robot including a robot arm, a tool disposed on the robot arm and configured to perform work on an object along a work trajectory, and an optical sensor having a fixed relative positional relationship with the tool and configured to measure a displacement of an actual position from the work trajectory. The robot is controlled by a control device and performs the work on the object by moving the tool relative to the object. The method includes: moving t[...]
Our summary: The method controls a robot arm with a tool to perform work on an object. An optical sensor measures displacement from a work trajectory. The control device triggers the operation and determines the start time based on elapsed time and measured displacement.
robot control, optical sensor, work trajectory, displacement
Patent
