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Improved road traffic sign recognition from feature reconstruction
Cellular reprogramming during anti-PD-1 and chemotherapy treatment in early-stage primary hormone receptor-positive breast cancer
Association between health literacy and medication adherence in patients with hypertension: a cross-sectional study
Research on the impact of climate change on food production resilience in China
Charge transfer at the plasmon-molecule interfaces controls the collective chiroptical responses
Telehealth pulmonary rehabilitation enhances functional capacity and quality of life in veterans with chronic obstructive pulmonary disease: a 12-week single-arm intervention study
Abstract Traditional in-person pulmonary rehabilitation protocols enhance respiratory health and functional capacity in Chronic Obstructive Pulmonary Disease (COPD) patients but face scalability issues due to high dropout rates and poor acceptability. Telerehabilitation offers a promising alternative. This 12-week single-arm intervention study evaluated the acceptability, feasibility, and effectiveness of a telehealth pulmonary rehabilitation (TPR) program for improving functional capacity in Veterans with COPD. Of the 51 participants, 44 (86% retention) completed the TPR program via the secure online VA Video Connect platform, which included weekly 120-min sessions. At the 12-week mark, compared to baseline, significant improvements were observed in functional capacity (41.3 m = 15.7% increase in the 6-min walk distance), functional mobility (1.2 s = 9.94% faster in Timed Up and Go), lower-body strength (1.2 s = 8.98% quicker in 5-Times Sit to Stand), and COPD-affected quality of life (27.9% improvement in St. George’s Respiratory Questionnaire and 42.7% in COPD Assessment Test). The TPR intervention, with its low dropout rate, proves to be an accessible and effective method for enhancing functional capacity and mobility among Veterans with COPD, potentially benefiting veterans and others with chronic respiratory conditions.
The application of WUTP-CNN-GRU model in power prediction of desert and floating photovoltaic system
Divergent evolution of fungal P450 monooxygenase unlocks simultaneous access to C12β and C15α oxyfunctionalization of steroids
Integrating multiple seismic attributes for fault detection using a new hybrid machine learning
Abstract This paper proposes a novel hybrid approach for fault detection in seismic data by integrating multiple seismic features using a novel hybrid machine. This hybrid method introduces the integration of Multilayer Perceptron (MLP) neural networks with Support Vector Machines (SVM). The main objective of this study is to enhance the analysis and recognition of fault patterns in seismic data while reducing detection errors. The dataset consists of two-dimensional synthetic and real seismic data and their corresponding labels. Various seismic features, such as the gray-level co-occurrence matrix (GLCM), and features derived from ant tracking, chaos, variance, sweetness, correlation, slope direction, and energy, are extracted and normalized. These features are subsequently used to train MLP and SVM models for fault detection. SVM, a supervised learning method, operates by determining a hyperplane that maximizes the separation between data classes. In contrast, MLP, an artificial neural network, uses multiple layers to optimize weights and capture complex data relationships. The performance of each model is evaluated using experimental data, and its corresponding accuracies are calculated. Finally, the predictions from both models are combined to improve the overall fault detection accuracy. The results show that this combined approach significantly increases the fault detection accuracy compared to the independent application of each model.
Acute and chronic effects of local muscle vibration training inducing illusions on wrist strength and neurophysiological measures
Abstract Local muscle vibrations (LMV) acutely and chronically affect the sensorimotor system, but their effects vary depending on application conditions. The mechanisms behind repeated LMV exposure are still debated. This study investigated the chronic effects of LMV under illusion-inducing conditions on the upper limb. Nineteen healthy participants completed 9 LMV sessions (80 Hz, 20 min) over 11 days targeting the right wrist flexors. Illusions were assessed using subjective scales and EEG (alpha band desynchronization). Neurophysiological parameters (spinal, corticospinal excitabilities, and intracortical inhibition) and grip strength were evaluated before and after a control session (20-min rest) and an LMV session, as well as after 9 LMV sessions and 5 days post-protocol. Participants consistently experienced illusions throughout the protocol, with stronger perceptions during the first 15 min. However, subjective and objective measures were found to be independent. Acute LMV significantly reduced the H-reflex (-52.3% [-69.7 ; -21.0]) but did not affect strength or other neurophysiological measures. Additionally, repeated LMV exposure induced no chronic changes in strength or neural excitabilities and inhibition. While confirming acute LMV effects under illusion conditions, this study found no evidence of chronic adaptations. It also suggests that subjective and objective (EEG-based) illusion measures reflect distinct neurophysiological mechanisms.
Terahertz integrated sensing and mobile communications empowered by a 220-GHz-band portable device
PIK75 effectively reverses PI3K‒AKT activation caused by palbociclib resistance and synergistically inhibits the progression of esophageal squamous cell carcinoma
In vitro phytochemical and biological evaluation of hydroethanolic extract of Anchomanes difformis In Togo
Plastic associated endocrine disruptors reduce Nicastrin protein and potentiate inflammation in hidradenitis suppurativa skin disease
Abstract Hidradenitis Suppurativa (HS) is an inflammatory skin disorder with limited treatments and unclear etiology. While monogenic HS is linked to gamma secretase mutations, particularly in the NCSTN subunit, the pathogenesis of the more common sporadic form remains uncertain, though associated with risk factors such as diets high in ultra-processed foods. Consistent with the clinical overlap between sporadic and monogenic HS, we find loss of NCSTN protein in sporadic HS fibroblasts. We hypothesize the rising incidence of sporadic HS and its hormonal associations implicate endocrine-disrupting chemicals, especially plastic-associated EDCs (p-EDs) common in UPFs. We detect elevated p-ED adducts in HS skin, persisting in ex vivo cultured fibroblasts. At nanomolar concentrations, p-EDs inhibits NCSTN and primes fibroblasts for inflammation, mimicking NCSTN knockdown. These findings suggest p-ED exposure contributes to HS pathogenesis, highlighting the need to address environmental exposures in HS and other gamma secretase-related diseases.
Improvement of college students’ higher mathematics problem solving ability based on neural network and multiple regression model
An acceleration-only modal circle-fitting method for in-situ fatigue damage detection
Human epidermal Langerhans cells induce tolerance and hamper T cell function upon tick-borne pathogen transmission
Abstract Arthropods are ancient vectors of infectious disease that alter the immune environment of the skin during feeding. The epidermis and its immune sentinels, including Langerhans cells, are critical for protection against ectoparasitic arthropods such as ticks. Here, we investigate how human Langerhans cells respond to clinical and experimental tick bites and concomitant infection with the tick-borne bacterium Borrelia burgdorferi. Using imaging, migration assays, immune spheroid models, and single-cell transcriptomic analysis of patient samples, we show that tick bites and tick saliva reprogram Langerhans cells to increase migration into lymphatic tissues, adopt a tolerogenic state marked by specific transcriptional programs, reduced ability to induce pro-inflammatory helper T cells, and enhanced promotion of type 2 and regulatory T cell responses. This shift dampens protective immunity and helps explain how ticks and their pathogens evade host defense and achieve efficient transmission.