With the expansion of optical and SAR image fusion application scenarios, it is necessary to integrate their information in land classification, feature recognition, target tracking. Current methods focus excessively on integrating multimodal enhance richness fused images, whereas neglecting highly corrupted visual perception results by modal differences speckle noise. To address that, this paper proposes a novel framework named Visual Saliency Features Fusion (VSFF), which based extraction...

Synthetic aperture radar (SAR) and optical images often present different geometric structures texture features for the same ground object. Through fusion of SAR images, it can effectively integrate their complementary information, thus better meeting requirements remote sensing applications, such as target recognition, classification, change detection, so to realize collaborative utilization multi-modal images. In order select appropriate methods achieve high-quality this paper conducts a...

This study investigates the association between physical activity and cognitive function in adults aged 50 older, with a focus on mediating role of depressive symptoms. Data were drawn from Waves 7 to 9 English Longitudinal Study Ageing (ELSA), including 5,499 participants years older. Cognitive was assessed through measures episodic memory, numeracy, orientation. Physical quantified using composite measure combining frequency vigorous, moderate, light exercise their respective average...

To achieve the excellent operational performance of wastewater treatment process, optimal control has been considered a reliable method. However, there is time-delay response operation performances to process variables, leading uncertainties objectives. It difficult obtain set-points due uncertain Therefore, kernel-density-estimation-based robust (KDE-ROC) method proposed. First, data-driven prediction strategy developed construct Based on intervals, between variables and objectives are...

In this paper, we focus on the research of cross-corpus speech emotion recognition (SER), in which training and testing signals SER belong to dierent corpus. Due fact, mismatched feature distributions may exist between sets degrading performance most originally well-performing methods. To deal with SER, propose a novel domain adaptation (DA) method called joint distribution adaptive regression (JDAR). The basic idea JDAR is learn matrix by jointly considering marginal conditional probability...

Automatic and precise matching between optical synthetic aperture radar (SAR) images is still a challenging task because of significant radiation texture differences such images. Recently, structure feature-based methods are popular for the SAR However, current descriptors include many noninformative features, which degrade their performance. To address that, we present robust method by multiscale masked feature representation. We first extract pixelwise gradient features on multiple scales...

Brain–computer interface (BCI) technology has great potential for improving the quality of life neurologic patients. This study aimed to use PET mapping BCI-based stimulation in a rat model with electrodes implanted ventroposterior medial (VPM) nucleus thalamus. <b>Methods:</b> imaging studies were conducted before and after right VPM. <b>Results:</b> Stimulation induced significant orienting performance. ¹⁸F-FDG uptake increased significantly paraventricular thalamic nucleus,...

To rise the efficiency of energy capture for semi-active flapping airfoils power generator at low flow speed, a control approach via leading edge slots is carefully examined using numerical method. The performances airfoil that affected by slot types formulated with different incline angles are analyzed. results show and can be improved cutting appropriate on airfoil. Among carried-out calculations, when angle from 15° to 17°, better obtained compared original without slots, 17°...

Fusion of Synthetic aperture radar (SAR) and optical images is a significant topic in the field remote sensing. As typical category image fusion methods, pixel level algorithms have been widely used SAR-optical to integrate their complementary information facilitate subsequent interpretation application. The effectiveness these methods has demonstrated different literatures based on experiment carried specific, individual datasets, which make comprehensive comparison difficult achieve. This...

The field of autonomous driving is experiencing a surge interest in world models, which aim to predict potential future scenarios based on historical observations. In this paper, we introduce DFIT-OccWorld, an efficient 3D occupancy model that leverages decoupled dynamic flow and image-assisted training strategy, substantially improving 4D scene forecasting performance. To simplify the process, discard previous two-stage strategy innovatively reformulate problem as voxels warping process....

Cross-corpus speech emotion recognition (SER) is a challenging task, and its difficulty lies in the mismatch between feature distributions of training (source domain) testing (target data, leading to performance degradation when model deals with new domain data. Previous works explore utilizing adaptation (DA) eliminate shift source target domains have achieved promising SER. However, these methods mainly treat cross-corpus tasks simply as DA problem, directly aligning across common space....

The requirements of exploring multi-site responsive stimulation for epilepsy treatment have driven the development neurostimulator with more recording channels, and powerful on-board calculation. In this paper, a multi-channel closed-loop system based on FPGA platform, which implements 32-channel 30kS/s 4-channel arbitrary waveform (up to 1mA, ±15V voltage compliance) constant-current stimulation, was adopted seizure control kainic-acid injected rodents. Seizure can be detected autonomously...

In this paper we developed an integrated device comprised of a multi-electrode array coupled with optical fiber for deep-brain stimulation and electrical recording. We characterized the both electrically optically, conducted in vivo experiments on free moving rats validation. This design provides viable tool neuromodulation neural signal acquisition optogenetics other fields neuroscience studies perspectively.

The radio range of backscatter systems continues growing as new wireless communication primitives are continuously invented. Nevertheless, both the bit error rate and packet loss signals increase rapidly with range, thereby necessitating cooperation between access point tags through a feedback loop. Unfortunately, low-power nature limits their ability to demodulate from remote scales down such circumstances. This paper presents Saiyan, an ultra-low-power demodulator for long-range LoRa...

Abstract The jet morphology of the fluorine‐containing plasma is important for accuracy and efficiency nondestructive optical fabrication. This paper investigated changes in size active radicals microwave plasma. Results show that little addition CF 4 O 2 Ar could promote ionization process, but excessive them would inhibit production limit size. Both optimizing proportion applied power can greatly improve morphology. regulation principle was interpreted as balance between resistance working...

Epidural electrical stimulation (ECS) combined with rehabilitative training could improve behavioral function for stroke both in clinical and animal studies. Though the primary motor cortex (M1) ECS has some effects on recovery, performance are not good enough better sites need further investigation. In this study, we compared of M1 premotor (PM). Twelve rats were trained to single-pellet retrieval (SPR) task before receiving photothrombotic ischemia model electrodes implantation. They...

Abstract Background Motor cortex stimulation applied as a clinical treatment for neuropathic disorders decades. With electrodes placed directly on the cortical surface, this neuromodulation method provides higher spatial resolution than other non-invasive therapies. Yet, therapeutic effects reported were not in conformity with different syndromes. One of main issues is that parameters are always determined by experience. The lack understanding about how current propagates and various...