Graded lattice structures have been paid wide attention in the engineering and biological fields due to their excellent energy absorption capacity variable porosity characteristics. Based on size-graded structure, laser powder bed fusion is utilized manufacture corresponding Ti-6Al-4 V samples. Then, quasi-static compression experiment conducted a predictive model for its mechanical properties established accordingly. Also, dynamic fatigue behavior studied, influence of sandblasting gradient...

Pomegranate is an important fruit crop that usually managed manually through experience. Intelligent management systems for pomegranate orchards can improve yields and address labor shortages. Fast accurate detection of pomegranates one the key technologies this system, crucial yield scientific management. Currently, most solutions use deep learning to achieve detection, but not effective in detecting small targets large parameters, computation speed slow; therefore, there room improving...

By inserting a small inductor between the transformer center tap and midpoint of two split output capacitors in dual active bridge (DAB) topology, this paper proposes modified DAB converter for wide-input applications. A hybrid phase-shift (HPS) control scheme is proposed to allow all power switches achieve practical ZVS over full operating range; thereby, significantly minimizing switching losses alleviating electromagnetic interference. Moreover, does not increase conduction comparison...

This paper proposes a current-fed isolated bidirectional dc-dc converter (CF-IBDC) that has the advantages of wide input voltage range, low current ripple, conduction losses, and soft switching over full operating range. Compared with conventional CF-IBDCs, spikes low-voltage (LV) side switches in proposed can be eliminated without additional clamp circuits. The adopts pulse width modulation plus hybrid phase-shift control scheme such bus match output by means transformer. Thus, stresses...

With the rapid development of machine learning and cloud computing, deep methods based on big data have been widely applied in assessment lithium-ion battery health status. However, enhancing accuracy robustness models remains a challenge. This study introduces an innovative T-LSTM prediction network. Initially, one-dimensional convolutional neural network (1DCNN) is employed to effectively extract local global features from raw data, providing enriched inputs for subsequent networks....

Neurons, glial cells and blood vessels are collectively referred to as the neurovascular unit (NVU). In Alzheimer's disease (AD) brain, main components of NVU undergo pathological changes. Transcranial direct current stimulation (tDCS) can protect neurons, induce changes in cells, regulate cerebral flow, exert long-term neuroprotection. However, mechanism by which tDCS improves function is unclear. this study, we explored effect on mice with preclinical AD related mechanisms. 10 sessions...

Currently, surface electromyography (sEMG) features of the forearm multi-tendon muscles are widely used in gesture recognition, however, there few investigations on inherent physiological mechanism muscle synergies. We aimed to study whether synergies could be for recognition. Five healthy participants executed five gestures daily life (pinch, fist, open hand, grip, and extension) sEMG activity was acquired from six muscles. A non-negative matrix factorization (NMF) algorithm employed...

Machine learning and deep have grown very rapidly in recent years are widely used agriculture. Neat clean datasets a major requirement for building accurate robust machine models minimizing misclassification real-time environments. To achieve this goal, we created dataset of images pomegranate growth stages. These stages were taken from May to September an orchard inside the Henan Institute Science Technology China. The contains 5857 pomegranates at different stages, which labeled classified...

Brain-computer interface (BCI)-based stroke rehabilitation is an emerging field in which different studies have reported variable outcomes. Among the BCI paradigms, motor imagery (MI)-based closed-loop still main pattern training. It can estimate a patient' intention and provide corresponding feedback. However, individual difference ability to generate event-related desynchronization (ERD) low classification accuracy of multi-class scenario restrict application MI-based BCI. In current...

As an emerging application, generative AI has attracted many users to conduct question and answer (Q&A), which may lead their defection from social Q&A communities. Based on the push-pull-mooring (PPM) model, this research examined user migration intention communities AI. Data were analyzed using a mixed method of SEM fsQCA. The results revealed that is influenced by combination push factors (information overload community fatigue), pull (perceived anthropomorphism, perceived accuracy,...

Visual and auditory forms have some noticeable associations that can inspire similar cognitive aesthetical experiences. This paper presents a study on the possibilities of applying low-level visual-auditory to music generation. A few methods are implemented directly convert visual features extracted from images into musical elements (pitch, duration, chord). Some initial results suggest high potential composing interesting along this direction. Possible application include getting new ideas...

Background: Synergistic recruitment of muscular activities is a generally accepted mechanism for motor function control, and dysfunction, such as cerebral palsy (CP), destroyed the synergistic electromyography muscle group limb movement. However, very little known how dysfunction CP affects organization myoelectric frequency components due to abnormal unit recruiting patterns. Objectives: Exploring whether activity can be represented with surface (sEMG) components; evaluating effect on sEMG...

Anodal transcranial direct current stimulation (AtDCS) has been shown to alleviate cognitive impairment in an APP/PS1 model of Alzheimer's disease the preclinical stage. However, this enhancement was only observed immediately after AtDCS, and long-term effect AtDCS remains unknown. In study, we treated 26-week-old mouse models stage with 10 sessions or sham stimulation. The Morris water maze, novel object recognition task, location test were implemented evaluate spatial learning memory mice....

So far, little is known how the sample assignment of surface electromyogram (sEMG) features in training set influences recognition efficiency hand gesture, and aim this study to explore impact different arrangements on classification gestures dominated with similar muscle activation patterns. Seven right-handed healthy subjects (24.2 ± 1.2 years) were recruited perform grasping tasks (fist, spherical, cylindrical grasping) pinch (finger, key, tape pinch). Each task was sustained for 4 s...

Understanding how the central nervous system copes with high number of degrees freedom in musculoskeletal is an open challenge. A possible approach that CNS uses kinematics and neuromuscular synergies as neural strategies for movements to reduce complexity control. The present study aims at analyzing human arm movements, determining upper-limb movements. Four right-handed subjects executed ten tasks involving on three directions (contralateral, central, ipsilateral) while sitting front a...

This paper is aimed to study the impact of sEMG feature weight on recognition similar grasping gesture, which classification performance hindered by their alike underlying muscle activation pattern. The were collected from six forearm hand muscles (EPB, EPI, FDS, PL, MB, ED) when subjects conducted a 4-second different gestures. Then empirical mode decomposition (EMD) was employed represent as IMF components, time-domain features (ZC and WAMP) obtained. PCA used reduce dimension set. optimal...

Tissue abnormality characterization is a generalized segmentation problem which aims at determining continuous score that can be assigned to the tissue characterizes extent of deterioration, with completely healthy being one end spectrum and fully abnormal such as lesions, on other end. Our method based assumptions there some neither or nor but lies in between two terms abnormality; voxel-wise spatially temporally smooth manifold abnormality. Unlike pure classification associates an...