This is our latest selection of worldwide publications and patents in english on Kinematics, between many scientific online journals, classified and focused on kinematic, relative velocity, relative acceleration, trajectory, trajectories, Chebychev, Kutzbach, free fall, angular velocity, angular acceleration, projectile motion, average velocity and average acceleration.
Systematic review and meta-analysis of MRI-based sex differences in the human fetal brain
Published on 2026-07-06 by @MIT
Abstract: AbstractSex differences in child neurobehavioral health suggest that male and female brains differ early in development. We took advantage of recent advances for in-utero magnetic resonance imaging (MRI) to conduct a pre-registered systematic review and meta-analysis of sex differences in brain structure and network connectivity of human fetuses. PubMed literature searching yielded 4,738 studies published between 2002 and 2025. All studies were screened by two independent reviewers and included [...]
Our summary: This systematic review and meta-analysis examined sex differences in brain structure and connectivity in human fetuses using MRI. It found that male fetuses have larger brain sizes and faster growth rates compared to females starting in the second trimester. However, no specific brain regions or consistent functional connectivity differences were identified between the sexes.
MRI, sex differences, fetal brain, meta-analysis
Publication
Self-pruning fractal computational architecture for high-performance computing on resource-constrained and noisy quantum hardware
Patent published on the 2026-07-02 in WO under Ref WO2026139942 by MARECHAL THIERRY [CA] (Marechal Thierry [ca])
Abstract: A computational architecture employing self-pruning fractal branch management for achieving supercomputer-class performance on standard hardware and noisy intermediate-scale quantum (NISQ) devices. Unlike conventional parallel computing systems requiring massive hardware resources or genetic algorithms requiring extensive population evolution, this invention utilizes hierarchical fractal doubles—modular computational units organized in self-similar tree structures—with real-time adaptive pru[...]
Our summary: The architecture employs self-pruning fractal branch management for high-performance computing on noisy quantum hardware. It achieves supercomputer-class performance with modular units organized in fractal structures, utilizing real-time adaptive pruning to eliminate non-promising branches. Applications span neural architecture search, protein folding, and quantum system modeling, achieving significant speedups while being energy-efficient and noise-tolerant.
fractal architecture, quantum computing, self-pruning, computational efficiency
Patent
Welded body, battery housing, battery and electric device
Patent published on the 2026-07-02 in WO under Ref WO2026138995 by BYD CO LIMITED [CN] (Chen Xiongmu [cn], Liang Liwei [cn], Cai Chengyan [cn], Zheng Fen [cn])
Abstract: A welded body (10a), comprising a first member (100a) and a second member (200a), wherein a welding trajectory (210, 220) is formed at the joint between the first member (100a) and the second member (200a). The welded body does not easily deform, has a low probability of welding voids, and ensures a high welding sealing performance. Further disclosed are a battery housing, a battery and an electric device.[...]
Our summary: A welded body consists of two members with a defined welding trajectory. It offers high sealing performance and low deformation risk. The content also discusses applications in battery housing and electric devices.
Welded body, battery housing, welding trajectory, electric device
Patent
Vehicles, computer apparatuses and methods for generating a trajectory of a vehicle on a map
Patent published on the 2026-07-02 in US under Ref US20260185849 by TOYOTA JIDOSHA KK [JP] (Schaefer Alexander C [us])
Abstract: In one embodiment, a method of generating a trajectory of a vehicle on a map includes receiving map data of the map, wherein the map data includes a first road and a second road. The method further includes receiving odometry data from one or more sensors of the vehicle, the odometry data having an odometry uncertainty associated therewith, and receiving a plurality of vehicle location signals, each vehicle location signal having a location uncertainty associated therewith. The method also inclu[...]
Our summary: The method generates a vehicle trajectory on a map using map data, odometry data, and vehicle location signals. It incorporates uncertainties from odometry and location signals as constraints. An optimizer processes these inputs to determine the vehicle s path along specified roads.
Trajectory generation, odometry data, location signals, optimization
Patent
Magnetic field based self-localization
Patent published on the 2026-07-02 in WO under Ref WO2026139944 by ISRAEL AEROSPACE IND LTD [IL] (Livne Miki [il], Chefer Chen [il])
Abstract: The presently disclosed subject matter includes a magnetic-based self-localization system, method, and computer-readable memory device for determining the position of a platform or navigator using a magnetic field source. Unlike conventional magnetic navigation methods that require direct measurement of the magnetic gradient tensor (G), the disclosed approach eliminates this dependency by utilizing the relationship between linear velocity and the measured magnetic field. The technique enables re[...]
Our summary: The system determines position using a magnetic field source. It eliminates the need for direct measurement of the magnetic gradient tensor. The technique computes relative position in real-time from magnetic field and velocity data.
magnetic localization, self-localization system, magnetic field source, real-time computation
Patent
Systems and methods for geometric cognition on spiking neuromorphic substrates for persistent cognitive machines
Patent published on the 2026-07-02 in US under Ref US20260187437 by ATOMBEAM TECH INC [US] (Galvin Brian [us])
Abstract: [0000] A neuromorphic computing system is disclosed in which inputs are embedded onto a continuous manifold realized by a dynamical substrate of interconnected processing elements that update their states in response to events. The substrate converges to attractor states that encode input-dependent representations, from which geometric properties, including metric tensor components and curvature, are derived from physical characteristics such as spike timing, synaptic weights, and conduction del[...]
Our summary: A neuromorphic computing system utilizes interconnected processing elements to embed inputs onto a continuous manifold. The substrate evolves to attractor states that encode geometric properties derived from physical characteristics. Adaptive modifications enable experience-driven reshaping of the manifold geometry through activity-dependent plasticity rules.
neuromorphic computing, geometric cognition, spiking neural networks, manifold dynamics
Patent
Methods and devices for authenticating individuals based on dynamic facial expressions and device motion
Patent published on the 2026-07-02 in US under Ref US20260187216 by BRAINCHIP INC [US] (Coenen Olivier Jean-marie Dominique [us])
Abstract: [0000] Various embodiments provide a secure biometric authentication method using dynamic facial expression gestures and motion. A mobile device captures spatiotemporal data of a user s facial features via a vision sensor and motion data associated with a mobile device s movement via an inertial measurement unit (IMU). A processing system in the mobile device constructs composite spatiotemporal trajectories of facial features by combining the event-based data and motion data, which are then matc[...]
Our summary: This content describes a biometric authentication method using dynamic facial expressions and device motion. It involves capturing spatiotemporal data through a vision sensor and an inertial measurement unit. A neural network processes this data to match user gestures with stored templates for secure access.
biometric authentication, facial recognition, spatiotemporal data, neural network
Patent
Readjustment of intrinsic activity parameters governs the rectified transport in asymmetric ratchets
Published on 2026-07-01 by Yunyan Chen, Xiaoyuan Yu, Fengguo Li and Baoquan Ai @IOP SCIENCE
Abstract: The rectified transport of active Brownian particles (ABPs) in asymmetric ratchets has been extensively studied. However, most existing literature regulates rectification by designing different structural boundaries. In this work, we shift the research perspective to the internal properties of ABPs and explore the influence of their internal physical parameters on the transport process. Using the vibration-driven vehicle (VDV) as a macroscopic experimental model for ABPs, we systematically adjus[...]
Our summary: This study investigates how intrinsic activity parameters of active Brownian particles affect rectified transport in asymmetric ratchets. By adjusting the mass and center of mass of a vibration-driven vehicle, the research identifies a parameters readjustment effect that influences average velocity and leads to a non-monotonic phase transition in rectification probability. The findings suggest that internal parameters play a crucial role in macroscopic transport behavior, offering insights for designing efficient active rectification systems.
active Brownian particles, asymmetric ratchets, rectified transport, dynamic parameters
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