Publications by authors named "Zijun Wei"

Article Synopsis
  • Post-stroke upper limb dysfunction significantly reduces patients' quality of life, and using sEMG signals to predict motion intentions can improve rehabilitation outcomes by adjusting robotic assistance levels.
  • This paper introduces four deep learning models focusing on muscle synergy (MS) feature extraction, with a notable model utilizing 3D Convolutional Neural Networks (3DCNN) that processes sEMG data from an anatomical perspective for enhanced accuracy.
  • Experimental results show the 3DCNN model outperforms other models in predicting wrist motion, achieving impressive accuracy and efficiency metrics, and demonstrates superiority over traditional musculoskeletal and deep learning models.
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Article Synopsis
  • * It involves a randomized, double-blind clinical trial with 80 participants, who will receive either SQTQD plus GBT mimetics or SQTQD mimetics plus GBTs over a 24-week period, assessing various cognitive and quality-of-life outcomes.
  • * The research aims to provide evidence regarding the efficacy and safety of SQTQD for MCI associated with WML
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Article Synopsis
  • Upper limb impairments after a stroke greatly diminish patients' quality of life, highlighting the need for tailored robotic assistance during rehabilitation.
  • This paper reviews 186 studies on predicting motion intentions of arm joints using Model-Based (MB) and Model-Free (MF) approaches, uncovering ongoing challenges related to subject diversity, algorithm reliability, and practical application.
  • It recommends combining MB and MF strategies with advanced technologies like deep learning and muscle synergy features to enhance prediction accuracy and facilitate faster adaptation of algorithms for individual patients.
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Article Synopsis
  • Dynamics in quantum materials involve quasiparticles, which represent quantized collective motion, with their decay affecting overall current transport.
  • The study focuses on how the decay of magnons, a type of quasiparticle, can be controlled through magnetic fields in the material RbFeCl.
  • Results show that at low fields, magnons decay easily, while at high fields their energy decreases and lifespan increases, indicating potential for field-tuned quasiparticle stability in various materials.
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Photocatalytic reduction of CO using solar energy is an effective means to achieve carbon neutrality. However, the photocatalytic efficiency still requires improvements. In this study, polyvinylidene fluoride (PVDF) ferroelectric/piezoelectric nanofiber membranes are prepared by electrospinning.

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Objective: Brain function remodeling has been observed in patients with mild cognitive impairment (MCI) and is closely associated with cognitive performance. However, it is not clear if this relationship is influenced by complete blood counts. This study investigated the role of complete blood counts in the relationship between brain function and cognitive performance.

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Buzhong Yiqi decoction (BZYQD) has been developed for preventing or reducing the recurrence of ischemic stroke for a long time in China. However, the mechanism of action of the BZYQD is not completely understood. Our research aims to determine whether the mechanism of action of BZYQD is by regulating gut microbiota using 16SR RNA and fecal microbiota transplantation.

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This study aimed to understand the demographics, functional disabilities, cognitive impairment, and depressive mood among stroke patients and to explore the correlation between functional disability and the other health conditions so as to provide some data for community rehabilitation among stroke patients. A cross-sectional study was conducted to investigate the functional status of ischemic stroke patients with stroke history between 1 month and 2 years by applying the modified Rankin Scale (mRS). Data were collected during October 2016 and January 2017 from 11 communities in two districts of Shanghai, China.

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Human gaze behavior prediction is important for behavioral vision and for computer vision applications. Most models mainly focus on predicting free-viewing behavior using saliency maps, but do not generalize to goal-directed behavior, such as when a person searches for a visual target object. We propose the first inverse reinforcement learning (IRL) model to learn the internal reward function and policy used by humans during visual search.

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Rare-earth (RE)-based frustrated magnets, such as typical systems of combining strong spin-orbit coupling (SOC), geometric frustration, and anisotropic exchange interaction, can give rise to diverse exotic magnetic ground states such as quantum spin liquid. The discovery of new RE-based frustrated materials is crucial for exploring the exotic magnetic phases. Herein, we report the synthesis, structure, and magnetic properties of a family of melilite-type REBeGeO (RE = Pr, Nd, and Gd-Yb) compounds crystallized in a tetragonal 4̅2 structure, where magnetic RE ions lay out on the Shastry-Sutherland lattice (SSL) within the plane and are well separated by nonmagnetic [GeBeO] polyhedrons along the -axis.

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Detecting segments of interest from videos is a common problem for many applications. And yet it is a challenging problem as it often requires not only knowledge of individual target segments, but also contextual understanding of the entire video and the relationships between the target segments. To address this problem, we propose the Sequence-to-Segments Network (SN), a novel and general end-to-end sequential encoder-decoder architecture.

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Purpose: To develop and evaluate an accelerated 3D self-gated cardiac cine imaging technique at 3 Tesla without the use of external electrocardiogram triggering or respiratory gating.

Methods: A 3D stack-of-stars balanced steady-state free precession sequence with a tiny golden angle sampling scheme was developed to reduced eddy current effect-related artefacts at 3 Tesla. Respiratory and cardiac motion were derived from a central 5-point self-gating signal extraction approach.

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Objective: we have developed a handheld device for noninvasive quantitative assessment of jugular venous pressure (JVP).

Methods: we used a single crystal ultrasound coupled to a force-sensing load cell to measure JVP based on the force necessary to collapse the internal jugular vein (IJV) walls. We used a gelatin-based model system of the IJV to test the ability of single crystal ultrasound to identify the IJV and verified the cross-sectional position and diameter of the vessels with conventional imaging ultrasound.

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Article Synopsis
  • - Complex 3D structures are found in both biological systems and high-performance electronics, reflecting essential organizational patterns in nature and technology.
  • - This study focuses on materials and assembly methods that combine soft, biological materials with advanced synthetic 3D frameworks, enabling better integration of these systems.
  • - Key findings include examining how cellular behaviors and growth patterns interact with the non-flat surfaces of these frameworks, leading to design principles for integrating living cells with electronic devices.
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Purpose: To develop and assess a three-dimensional (3D) self-gated technique for the evaluation of myocardial infarction (MI) in mouse model without the use of external electrocardiogram (ECG) trigger and respiratory motion sensor on a 3T clinical MR system.

Methods: A 3D T1-weighted GRE sequence with stack-of-stars sampling trajectories was developed and performed on six mice with MIs that were injected with a gadolinium-based contrast agent at a 3T clinical MR system. Respiratory and cardiac self-gating signals were derived from the Cartesian mapping of the k-space center along the partition encoding direction by bandpass filtering in image domain.

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Improvements in ingestible electronics with the capacity to sense physiological and pathophysiological states have transformed the standard of care for patients. Yet, despite advances in device development, significant risks associated with solid, non-flexible gastrointestinal transiting systems remain. Here, we report the design and use of an ingestible, flexible piezoelectric device that senses mechanical deformation within the gastric cavity.

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This paper introduces a class of ferromagnetic, folded, soft composite material for skin-interfaced electrodes with releasable interfaces to stretchable, wireless electronic measurement systems. These electrodes establish intimate, adhesive contacts to the skin, in dimensionally stable formats compatible with multiple days of continuous operation, with several key advantages over conventional hydrogel based alternatives. The reported studies focus on aspects ranging from ferromagnetic and mechanical behavior of the materials systems, to electrical properties associated with their skin interface, to system-level integration for advanced electrophysiological monitoring applications.

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Entirely differing from the common templating-based multistep strategy for fabricating multifunctional hollow mesoporous silica nanoparticles (HMSN), a facile and template-free synthetic strategy has been established to construct a unique hollow/mesoporous organosilica nanocapsule (OSNC) concurrently encapsulating both isopentyl acetate (PeA) liquid and superparamagnetic iron oxides inside (denoted as PeA@OSNC). This novel material exhibits ultrasmall and uniform particle size (∼82 nm), high surface area (∼534 m·g), and excellent colloidal stability in aqueous solution. The oil-phase PeA with relatively low boiling point (142 °C) and high volatility not only plays a crucial role in formation of a large hollow cavity from the viewpoint of structural design but also enables the PeA@OSNC to act as an efficient enhancement agent in high-intensity focused ultrasound (HIFU) therapy.

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Complex three-dimensional (3D) structures in biology (e.g., cytoskeletal webs, neural circuits, and vasculature networks) form naturally to provide essential functions in even the most basic forms of life.

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