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Exclusive: how NSF is scouring research grants for violations of Trump’s orders
Engineering active sites in ternary CeO2-CuO-Mn3O4 heterointerface embedded in reduced graphene oxide for boosting water splitting activity
Daily briefing: A ‘data apocalypse’ at US public-health agencies
Photovoltaic solar energy prediction using the seasonal-trend decomposition layer and ASOA optimized LSTM neural network model
Omega-3 supplements slow biological ageing
Reducing M2 macrophage in lung fibrosis by controlling anti-M1 agent
Cerebellar re-irradiation after whole brain radiotherapy significant symptom relief with minimal toxicity in metastatic brain patients
Author Correction: Automatic detection and counting of wheat spike based on DMseg-Count
Establishment of a bat lung organoid culture model for studying bat-derived infectious diseases
Effect of bottom ash powder replacement rate, water cement ratio and sand cement ratio on alkali activated slag mortar
Zero-day exploits detection with adaptive WavePCA-Autoencoder (AWPA) adaptive hybrid exploit detection network (AHEDNet)
Imaging study of adult coccygeal morphology using direct digital radiography technology in China
Synchronization-based graph spatio-temporal attention network for seizure prediction
Determining factors affecting flood risk perception among local communities in Iran
Predicted thermodynamic structural and elastic properties of SrCuP and SrCuSb for thermoelectric applications
Autoimmunity promotes chronic lymphocytic leukemia progression in an indolent disease model
Abstract Chronic lymphocytic leukemia (CLL) is a heterogeneous B cell malignancy characterized by the accumulation of functionally incompetent B lymphocytes. Despite the availability of highly effective treatments, CLL remains incurable, and the factors contributing to disease progression are not fully understood. Autoimmune complications frequently arise in CLL patients and are associated with poor clinical prognosis. This study investigates the connection between plasma cell-mediated autoimmunity and CLL progression using a mouse model that expresses an active Receptor Activator of NF-κB (RANK) in B cells (RK mice), where autoimmune manifestations coexist with CLL. Transcriptional profiling of RANK-driven leukemic cells revealed a more indolent form of CLL compared to the classical TCL1 model. The discovery of near-identical CDR3 regions in both plasma and CLL cells of RK mice suggests a shared progenitor and antigen driving both conditions. Deletion of Blimp-1, which prevents plasma cell differentiation, initially enhanced B1/CLL formation in young mice but nearly halted CLL progression, highlighting the significant influence of autoimmune complications on disease outcomes. This research underscores the intertwined nature of autoimmunity and CLL, suggesting that targeting inflammatory pathways could offer therapeutic potential for managing both conditions.
Effect of genomic regions harboring putative lethal haplotypes on reproductive performance in closed experimental selection lines of Nellore cattle
COVID-19-related stress, anxiety and vaccine hesitancy among healthcare workers in a tertiary hospital in South-Western Nigeria
Dielectric function and thermo-optic coefficients of silicon-doped GaN substrates at elevated temperature from 298 K to 873 K in the UV-Vis-NIR spectrum
Abstract Understanding the thermal influence on gallium nitride (GaN) single crystal substrates is critical for the advancement of GaN-based optoelectronic devices. In this study, we comprehensively characterized the thermal effects on the optical properties of silicon-doped GaN substrates using spectroscopic ellipsometry over a broad wavelength range from 250 nm to 1600 nm. The dielectric function of GaN was determined at temperatures ranging from 298 K to 873 K, demonstrating consistent temperature-dependent behavior. The exciton transitions were precisely characterized and modeled using the empirical Varshni expression. Moreover, we report, for the first time, the thermo-optic coefficients across the wide spectrum, parameterized using a Sellmeier model. This work significantly expand the GaN optical properties database beyond thin films and provide essential insights for the design and optimization of next-generation GaN-based optoelectronic devices.