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Abstract Unsupervised visible-infrared person re-identification (USL-VI-ReID) aims to match person images across visible and infrared modalities without any labeled data, which is severely hindered by the large cross-mod...

Abstract Our memories do not simply keep time — they distort it, stretching and compressing the past to reflect the structure of experience. Here, we combined functional magnetic resonance imaging (fMRI; n = 32) wi...

Abstract Prostate cancer (PCa) is a leading malignancy in men, particularly challenging in its advanced stages due to treatment resistance and immune evasion. MicroRNA-1290 (miR-1290) was identified to be implicated in t...

Abstract Vertical integration of two-dimensional materials holds tremendous potential for integrated sensing, memory, and computing applications, yet it still confronts challenges such as single device functionality, lim...

Abstract Joint moments are critical parameters for evaluating human movement, and time-series models are widely used to predict them from biosignals. However, biosignals collected via accelerometers, gyroscopes, and elec...

Abstract Working memory training (WMT) is widely used to enhance cognitive task performance, yet traditional delivery poses challenges for sustained implementation; computerised working memory training (CWMT) provides a ...

Abstract Memory representations contain a rich array of features, including perceptual and conceptual features of encoded stimuli. While prior research demonstrates that both feature types are independently represented i...

Abstract Here, we review mathematical models of epigenetic memory, focusing on chromatin modifications as key mechanisms to achieve long-term maintenance of epigenetic states. After reviewing the main stochastic modeling...

Abstract Ferroelectric field-effect transistors (FeFETs) incorporating hafnium-oxide-based ferroelectrics are promising candidates for next-generation nonvolatile memory technologies. Nevertheless, interface-related chal...

Abstract This work developed an enhanced model to examine the High-Strength Fiber-Reinforced Concrete (HSFRC) that is replaced with 10% metakaolin as a sustainable cement replacement and four types of fibers at different...

Abstract To address the limitations of existing oil-well production forecasting models, particularly suboptimal hyperparameter selection, difficulties in fine-tuning, insufficient global search capability, and slow conve...

Abstract In response to the problems of large fluctuations in electricity prices and difficulty in long-term forecasting caused by the large-scale integration of new energy in the electricity market, this paper construct...

Abstract The ability of organisms to learn and remember is crucial for their survival. This cognitive ability spans a wide range of organisms, including both vertebrates and invertebrates, yet has remained little studied...

Abstract Adoptive cell therapy is a promising strategy in cancer treatment, among which NK cell therapies represent an encouraging approach. Freshly isolated NK cells exhibit low cytolytic activity. Therefore, efficient ...

Abstract The photovoltaic (PV) power generation process is susceptible to the interference of meteorological factors with volatility, which seriously impacts the stability of PV grid connection. To solve the above proble...

Abstract This study develops and analyzes a Caputo fractional-order SEIHRD model to investigate the transmission dynamics and control of Ebola virus disease. The model ensures positivity, boundedness, and invariance of f...

Abstract Synchronous reluctance motors (SynRMs) are increasingly critical in industrial and traction applications due to their high efficiency, magnet-free construction, and thermal robustness. However, fault diagnosis f...

Abstract In the world of the Internet of Things (IoT), wireless sensor networks (WSNs) play a vital role in enabling seamless communication between connected devices. In a WSN data prediction system based, clustering and...

Abstract Immunotherapy has transformed melanoma treatment, yet only a subset of patients benefit and clinically effective biomarkers remain limited. Here, we report a comprehensive analysis evaluating CD27 as a predictiv...

Abstract Lameness in cattle is a significant welfare and economic concern. To address this, we developed an end-to-end deep learning framework for 24/7 lameness monitoring using top-down depth images of cattle. The frame...

Abstract Classifying exam questions using Bloom’s Taxonomy is a critical task in education. However, performing this classification manually is often inefficient, prone to subjective errors and demands significant time...

Abstract Alzheimer’s disease (AD) is a progressive neurodegenerative disorder characterized by amyloid-β and tau pathology, neuroinflammation, oxidative stress, and cognitive decline. Emerging evidence indicates that ...

Abstract Type 2 Diabetes Mellitus (T2DM) confers a significant risk for Mild Cognitive Impairment (MCI), yet robust biomarkers for early detection remain limited. In this study, 150 age-matched participants (50 Healthy C...

Abstract The long-term neurobiological and psychological effects of war-related stress on civilians remain understudied. This study focuses on survivors of the war in the former Yugoslavia (G1) who now reside in the Czec...