Browse Articles

Effects of prosthetic ankle power and foot stiffness category on biomechanical asymmetry and knee moment during walking at different speeds

Level of occupational stress and quality of life among construction workers in Malaysia

Development and validation of a simple nomogram for predicting knee osteoarthritis using movement evoked pain in a community setting

Optimization strut-based fuel injection using multi-step hydrogen jets and air-assisted mixing in supersonic flow

Correction: Uridine alleviates the aging of alveolar epithelial cells in idiopathic pulmonary fibrosis through the Keap1-Nrf2 signaling pathway

Association of ANXA3 methylation with clinical outcomes of glucocorticoid therapy in patients with hepatitis B virus-related acute-on-chronic liver failure

PERK inhibition attenuates multi-program cell death through Nrf2/HO-1 activation in diabetic retinopathy with integrated proteomics and functional validation in HRECs

Spatial patterns and influencing factors of traditional villages in developed regions: a case study of Zhejiang Province, China

Nicotinamide counteracts Rotenone-induced mitochondrial and neuronal dysfunction in a translational early-life model

Graphic transmutations identify the phenomenon of meaningless pictures remembered as familiar objects

Glymphatic system impairment in type II diabetes mellitus adults

Abstract Type 2 diabetes mellitus (T2DM) is associated with multiple systemic complications, including cognitive decline and increased risk of neurodegenerative diseases. The glymphatic system, a brain waste-clearance pathway that can be impaired by sleep disturbances common in T2DM, has not yet been examined in the condition. Therefore, the aim was to evaluate glymphatic system in T2DM subjects using diffusion tensor imaging along the perivascular space (DTI-ALPS) index. A total of 78 T2DM adults and 106 healthy controls underwent brain MRI. Sleep issues were assessed using the Pittsburgh Sleep Quality Index (PSQI) and Epworth Sleepiness Scale (ESS), and cognition with the Montreal Cognitive Assessment (MoCA). Group differences in DTI-ALPS, sleep metrics, and MoCA scores were assessed with analysis of covariance (covariates, age, sex, and BMI). Other covariates (MoCA, ESS, and sleep apnea status) were also included to examine DTI-ALPS differences between groups, in addition to age, sex and BMI. Correlations analyses were performed to assess associations between sleep measures (PSQI and ESS), disease duration, HbA1c levels, and DTI-ALPS indices in T2DM adults. T2DM patients exhibited higher PSQI ( p  = 0.03) and ESS ( p  = 0.004), reflecting poorer sleep quality and increased daytime sleepiness. MoCA scores were significantly lower in T2DM adults ( p  = 0.001), with impairments emerged in visuospatial skills, attention, and language. Also, significantly reduced DTI-ALPS values appeared in T2DM over controls ( p  = 0.017), but no significant associations were found between DTI-ALPS index and other measures in T2DM adults. T2DM adults show impaired glymphatic function along with poor sleep quality and daytime sleepiness. The findings indicate that glymphatic dysfunction, potentially-driven by metabolic, vascular, and sleep-related disturbances may exacerbate cognitive deficits in T2DM adults.

Improving cognitive stress classification via multimodal EEG and ECG fusion: gender differences in physiological response

Comparison of artificial intelligence and multidisciplinary team recommendations in the management of colorectal cancer liver metastases

An ensemble machine learning classifier for Parkinson’s disease diagnosis using optical coherence tomography angiography

A hybrid temporal convolutional attention model for water filter remaining useful life prediction

Dual-Descriptor-Guided Screening of Stable Metal-Doped RuO ₂ Catalysts for Acidic Oxygen Evolution

Field efficacy of new-generation insecticides and household residue mitigation techniques assessed by LC-MS/MS for safe tomato consumption

Deep learning approach for hybrid beamforming design in MU-MISO mmWave systems

Abstract Hybrid beamforming is a promising approach to alleviate hardware complexity in multi-user multiple-input single-output (MU-MISO) systems while maintaining high data rate performance. Unfortunately, hybrid beamforming architecture design is a challenging non-convex optimization problem due to stringent hardware constraints. However, traditional hybrid beamforming design methods, such as alternating minimization (AltMin) algorithms, rely on iterative optimization procedures that introduce heavy computational overhead and make them impractical for real-time applications. In this paper, we propose a deep learning (DL)-based hybrid beamforming method (DL-HBF) that aims to reduce computational latency while achieving acceptable sum-rate performance. Furthermore, we evaluate these methods based on a realistic channel model to ensure practical significance and their performance on imperfect channel state information (CSI). Additionally, we propose dataset generation procedures, which reduce the dataset creation and training overhead compared to existing DL-based hybrid beamforming methods that help in rapid deployment and scalability. Simulation results show that the proposed DL-HBF achieves an acceptable sum rate compared to traditional methods while reducing the computational complexity and maintaining robustness against channel estimation errors, which provides a practical solution for real-time hybrid beamforming for next-generation wireless systems.

Stable isotope insights into water use sources and adaptation strategies of Tamarix Chinensis in desert ecotone of arid regions

Influence of six different RE3+ ions as modifier agents on the photoluminescent, electrical, magnetic and thermal properties of B-Na glass

Abstract This study deals with investigation of the influence of rare-earth (RE³⁺) ions La³⁺, Nd³⁺, Gd³⁺, Ho³⁺, Er³⁺, and Yb³⁺ on the structural, photoluminescent, electrical, and thermal properties of a simple 50%B₂O₃ − 50%Na₂O glass system. The incorporation of 1 mol% RE₂O₃ systematically enhanced optical polarizability, as indicated by the increase in molar refraction ( R m ) and nonlinear susceptibility ( χ⁽³⁾ ). The Er³⁺ doped glass is exhibiting the highest value of χ⁽³⁾ ≈ 1.76 × 10⁻¹² esu. The calculated optical basicity, oxide ion polarizability, and metallization criteria confirmed the nonmetallic nature of all compositions. RE addition markedly intensified the photoluminescence emission, particularly for Gd³⁺ (> 2000 a.u.) and Er³⁺ (~ 700 a.u.), accompanied by high correlated color temperature values ( CCT  > 7600 K). Thermal analyses (TGA/DSC) revealed excellent stability up to 800 °C, with T g values increasing from 422 °C (base glass) to 450 °C depending on RE type; the Nd³⁺-doped glass showed the highest thermal stability ( ΔT  ≈ 120 °C), implying superior glass-forming ability. All RE-doped samples displayed paramagnetic behavior, except La³⁺-doped, which remained diamagnetic. The dc conductivity decreased with decreasing ionic radius, consistent with the correlated barrier hopping (CBH) mechanism, while thermal conductivity (0.49–1.78 W m⁻¹ K⁻¹) confirmed their insulating and thermoelectric potential. Overall, the results demonstrate that RE³⁺ ions effectively tailor multifunctional characteristics of sodium borate glasses, highlighting their promise for advanced photonic and energy-related applications.