Significant reduction of renal mass triggers a chain events that result in glomerular hypertension/hyperfiltration, proteinuria, glomerulosclerosis, tubulointerstitial injury, and end-stage disease. These are mediated by constellation hemodynamic, oxidative, inflammatory reactions are, part, driven local AT₁ receptor (AT₁r) activation angiotensin II (Ang II). Here we explored the effects 5/6 nephrectomy with without AT₁r blockade (losartan for 8 weeks) on...

To monitor blood glucose levels reliably, diabetic patients usually have to undergo frequent fingerstick tests draw out fresh blood, which is painful and inconvenient with the potential risk of cross contamination especially when lancet reused or not properly sterilized. This work reports a novel surface-enhanced Raman spectroscopy (SERS) sensor for in situ intradermal detection based on low-cost poly(methyl methacrylate) microneedle (PMMA MN) array. After incorporating 1-decanethiol (1-DT)...

<i>Background:</i> Chronic consumption of a high-salt diet causes hypertension (HTN) and renal injury in Dahl salt-sensitive (SSR) but not salt-resistant rats (SRR). These events are, part, mediated by oxidative stress inflammation the kidney vascular tissues. Activation angiotensin II type 1 (AT<sub>1</sub>) receptor plays an important role pathogenesis many hypertensive disorders. However, systemic renin-angiotensin system (RAS) is typically suppressed HTN. This...

In this paper, a target person tracking method based on the ultra-wideband (UWB) technology is proposed for implementation of human-tracking robots. For such robots, detection and calculation position orientation play an essential role in human-following function. A modified hyperbolic positioning algorithm devised to overcome challenge measurement errors. addition, virtual spring model implemented robot track person. One important advantage UWB-based compared with computer vision-based...

Pain is a highly subjective experience. Self-report the gold standard for pain assessment in clinical practice, but it may not be available or reliable some populations. Neuroimaging data, such as electroencephalography (EEG) and functional magnetic resonance imaging (fMRI), have potential to used provide physiology-based quantitative nociceptive tools that complements self-report. However, existing neuroimaging-based assessments only rely on information pain-evoked brain activities, neglect...

The human auditory system extracts valid information in noisy environments while ignoring other distractions, relying primarily on attention. Studies have shown that the cerebral cortex responds differently to sound source locations and attention is time-varying. In this work, we proposed a data-driven encoder-decoder architecture model for detection (AAD), denoted as AAD-transformer. contains temporal self-attention channel modules could reconstruct speech envelope by dynamically assigning...

Atmospheric particulate matter pollution poses significant threats to human health and the environment. Submicron-fiber filtration materials have received widespread attention owing their ultrafine dimensions, high porosity, precise interception capabilities. However, low dust-holding capacity rapid resistance increase during use remain challenges. In this study, a modular helical linear free-surface multi-jet electrospinning device was employed prepare multi-scale fibers (80–800 nm) combine...

Abstract Deep learning has revolutionized electroencephalograph (EEG) decoding, with convolutional neural networks (CNNs) being a predominant tool. However, CNNs struggle long‐term dependencies in sequential EEG data. Models like long short‐term memory and transformers improve performance but still face challenges of computational efficiency sequences. Mamba, state space model–based method, excels modeling To overcome the limitations existing decoding models exploit Mamba's potential...

ABSTRACT Cochlear implants (CI) are the premier intervention for individuals with severe to profound hearing impairment. Worldwide, an estimated 600,000 have enhanced their through cochlear implantation, nearly half being children. The evaluations after implantation crucial appropriate clinical interventions and care. Current practice lacks methods assess recovery of advanced auditory functions in cochlear‐implanted Yet, recent advancements electroencephalographic (EEG) techniques show...

Auditory selective spatial attention (ASSA) plays an important role in "cocktail party" scenes, but the effects of separation between target and distractor sources background noise on associated brain responses have not been thoroughly investigated. This study utilized multilayer time-varying network to reveal effect patterns different degrees signal-to-noise ratio (SNR) levels functional connectivity during ASSA. Specifically, a with six time-windows equally divided by each epoch was...

ABSTRACT Background Due to the joint characteristics and friction, continuum surgical instruments based on hinge joints suffer from issues such as slack hysteresis, which affect control precision. Methods This study introduces cam‐based instruments. The variation in cable length during rotation was analysed, prompting a redesign of cam's outer contour. An experimental platform built compare precision traditional circular wheel cam mechanism. A prototype instrument with proposed design...

Semantic understanding is central to advanced cognitive functions, and the mechanisms by which brain processes language information are still being explored. Existing EEG datasets often lack natural reading data specific Chinese, limiting research on Chinese semantic decoding processing. This study aims construct a dataset, TMNRED, for target identification in environments. TMNRED was collected from 30 participants sentences sourced public internet resources media reports. Each participant...

Ammonia inhibition often occurs during anaerobic digestion (AD) of the protein-rich substrate. Iron-containing substances were proved to be efficient in alleviating ammonia stress. However, mechanisms behind, especially distinct impacts different forms iron materials, are not fully revealed. Here, performances FeCl3 and Fe3O4 on AD systems under stress investigated. Moreover, behind these revealed compared at transcriptional level. Results showed that additions with an equal amount element...

<i>Background:</i> Chronic renal failure (CRF) results in diminished physical activity and increased risk of cardiovascular disease (CVD). CVD factors are raised by sedentary life style ameliorated fitness the general population. Accordingly, exercise improves hypertension, endothelial dysfunction, insulin resistance, dyslipidemia, inflammation oxidative stress high-risk populations. This study was designed to explore effect on inflammatory mediators left ventricle (LV) CRF rats....

In recent years, biometric identification has received general concerns around the world, and become a frontal hot topic in information age. Among internal traits, electroencephalogram (EEG) signals have emerged as prominent characteristic due to high security, uniqueness impossibility steal or mimic. this paper, individual difference of visual evoked potentials (VEPs) with cognition task were investigated, addition, feature selection channel optimization strategy was developed for VEPs...

An effective physiological pain assessment method that complements the gold standard of self-report is highly desired in clinical research and practice. Recent studies have shown pain-evoked electroencephalography (EEG) responses could be used as a readout perceived intensity. Existing EEG-based normally achieved by cross-individual prediction (i.e., to train model from group individuals apply on new individual), so its performance seriously hampered substantial inter-individual variability...

Gait recognition is a relatively new subfield in biometric recognition, which attempts to recognize people from the way they walk or run. This paper discusses silhouette-based feature descriptor. Human silhouette geometry generated by boundary tracking approach and resampled normalized format. Boundary-centroid distance proposed describe gait modality. Then, we apply wavelet transform boundary-centroid distance, extract At same time, obtain human skeleton model bodys dynamic parameters...