Results 71 to 80 of about 284,138 (314)
This study introduces VIVID (Vesicle In Vivo Identification using DNA), a qPCR‐based platform that tracks PCR‐amplifiable DNA tags loaded in the EVs for accurate and quantifiable EV biodistribution in vivo. ABSTRACT Extracellular vesicles (EVs) represent promising carriers for nucleic acid therapeutics, offering advantages over synthetic nanoparticles ...
Oscar Boyadjian +5 more
wiley +1 more source
Unveiling the Role of Curvature in Carbon for Improved Energy Release of Ammonium Perchlorate
High‐curvature carbon materials identified via machine learning and simulation can enhance the heat release and combustion performance of ammonium perchlorate. ABSTRACT The catalytic role of carbon curvature in the thermal decomposition of ammonium perchlorate (AP) remains largely unexplored. To address this gap, this study employs machine learning and
Dan Liu +8 more
wiley +1 more source
Automated text simplification as a preprocessing step for machine translation into an under-resourced language [PDF]
In this work, we investigate the possibility of using fully automatic text simplification system on the English source in machine translation (MT) for improving its translation into an under-resourced language.
Popović, Maja, Štajner, Sanja
core +1 more source
Lactylation‐Driven YTHDC1 Alleviates MASLD by Suppressing PTPN22‐Mediated Dephosphorylation of NLRP3
In MASLD, YTHDC1 undergoes increased lactylation and ubiquitination, reducing its expression. AARS1 mediates lactylation at lysine 565, while disrupted binding to LDHA further promotes lactylation, suppressing YTHDC1. This downregulation enhances PTPN22 mRNA stability, leading to NLRP3 dephosphorylation and activation, which exacerbates inflammation ...
Feng Zhang +16 more
wiley +1 more source
Are language production problems apparent in adults who no longer meet diagnostic criteria for attention-deficit/hyperactivity disorder? [PDF]
In this study, we examined sentence production in a sample of adults (N = 21) who had had attention-deficit/hyperactivity disorder (ADHD) as children, but as adults no longer met DSM-IV diagnostic criteria (APA, 2000).
Achenbach T. +28 more
core +1 more source
MTAGEC: Multi-Task Arabic Grammatical Error Correction as a sequence generation with synthetic data
Automatic grammatical error correction (GEC) is challenging due to limited annotated data and complex linguistic features, specifically in Arabic. Existing GEC systems focus on detecting and correcting grammatical errors, overlooking the integration of ...
Zeinab Mahmoud +5 more
doaj +1 more source
General schematic of the approach. Abstract Conventional Silver/Silver Chloride (Ag/AgCl) electrodes remain the clinical standard for electrophysiological monitoring but are hindered by poor skin conformity, mechanical rigidity, and signal degradation, particularly under motion or sweat.
Nazmi Alsaafeen +11 more
wiley +1 more source
In mobile communications, plenty of textual messages need to be transmitted and processed rapidly. However, messages usually contain noise, which will affect the performance of related applications. Thus, we investigate grammatical error correction (GEC)
Fayu Pan, Bin Cao, Jing Fan
doaj +1 more source
The functional schematic diagram of tumor associated neutrophils. Abstract Enhancing cervical cancer (CC) immunotherapy requires deciphering the heterogeneous tumor immune microenvironment (TIME), particularly neutrophil phenotypic dynamics. Here, 1) we collected 543 CC cases to find that patients with elevated neutrophil levels have a higher incidence
Xingyu Chang +7 more
wiley +1 more source
Errors In Speaking English Made By Students Ofenglish Department Of Muhammadiyah University Of Surakarta [PDF]
The researcher writes this research to describe the type of errors in speaking English of English Department of Muhammadiyah University of Surakarta, describe the frequency and the dominant, and explain the sources of error. The type of this research is
, Dra. Dwi Haryanti, M. Hum +2 more
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