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Deep learning-enhanced multiscale permeability prediction in fractured-vuggy carbonate reservoirs
Hydrogen peroxide-assisted electrochemical oxidation for improved corrosion resistance of DLC-coated 316 L stainless steel
Nanoengineered PEG/acrylic acid smart hydrogels for controlled oxaliplatin delivery and enhanced biocompatibility
sFRP-4 regulated by n6‑methyladenosine writer ZC3H13 attenuates sunitinib resistance of renal cell carcinoma via inactivating Wnt/β-catenin pathway
Camera-trap monitoring of common raccoon dog (Nyctereutes procyonoides) activity in Natura 2000 wetland habitats in Poland
Enhancing lung segmentation in chest X-rays via SAM with anatomical priors and boundary-aware loss
Biopolymeric templates for green synthesis of nanoporous silica adsorbents for wastewater remediation
Inflammatory, renal, echocardiographic and epigenetic associations with prevalent permanent atrial fibrillation in patients with chronic heart failure: a cross-sectional study
Elimusertib exhibits strong synergy with olaparib in ovarian cancer organoids through replication fork interference
A multi-modal techno-economic comparison of gaseous and liquid hydrogen routes using Yantai as a case study
Cumulative timing-dependent changes in corticospinal excitability during suprathreshold paired-pulse transcranial magnetic stimulation
Abstract Transcranial magnetic stimulation (TMS) is widely used to assess inhibitory and facilitatory circuits within the primary motor cortex. However, accumulating evidence suggests that even brief TMS paradigms may induce unintended changes in corticospinal excitability. Here, we examined whether suprathreshold paired-pulse TMS delivered at inter-stimulus intervals (ISIs) associated with intracortical facilitation or long-interval cortical inhibition (LICI) elicits cumulative changes in motor-evoked potential (MEP) amplitude. In experiment 1, we reanalysed data from 17 participants who received 20 suprathreshold paired-pulses at eight ISIs (10–200 ms) and 40 unconditioned single pulses. Stimulation was pseudo-randomised and distributed evenly across four blocks. A linear mixed-effects model assessed trial-wise changes in MEP amplitude across ISIs. We replicated the design in an independent sample (n = 10, experiment 2). A significant trial-by-ISI interaction was observed in both cohorts. Specifically, MEP amplitudes increased across trials for ISIs of 20 and 30 ms ( p < 0.05), but remained stable at LICI-related ISIs (100–150 ms). A similar increase was also seen with single-pulse TMS. These findings demonstrate that suprathreshold paired-pulse TMS at short ISIs can cumulatively enhance corticospinal excitability during stimulation.
A hybrid CNN transformer framework integrated with time frequency representation for epileptic seizure detection using EEG signals
Gain-adaptive STAR-RIS assisted vehicular NOMA with transmit antenna selection
Abstract This paper proposes a dynamic gain-adaptive scheme for simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) based non-orthogonal multiple access (NOMA) networks (termed as ASRN) with a transmit antenna selection technique at the base station to serve two vehicular users. Unlike conventional fixed-ranking NOMA, ASRN dynamically allocates power and assigns successive interference cancellation order to users based on their channel conditions. Firstly, we derive closed-form expressions for the system outage probability, asymptotic outage behavior, and diversity order, revealing that the proposed scheme achieves a diversity gain scaling with the number of STAR-RIS elements. Then, a greedy algorithm is further proposed to jointly optimize antenna selection and NOMA users’ pairing. Secondly, we introduce a key performance metric (termed as the ergodic sum rate (ESR)) and define the multiple averaging ergodic sum rate (MA-ESR) to evaluate the effectiveness of ASRN scheme in delay-tolerant networking approach, when compared to other schemes. Monte Carlo simulations demonstrate that ASRN significantly outperforms dynamic gain-adaptive STAR-RIS OMA conventional STAR-RIS NOMA/OMA, and decode-and-forward relaying schemes, offering superior outage performance, coding gains, ESR performance and MA-ESR performance, particularly in vehicular environments.
Quality perceptions and intended engagement in response to AI-generated and AI-assisted news
Abstract The increasing use of artificial intelligence (AI) in news production raises important questions about how audiences perceive and respond to AI-generated journalism. This preregistered survey experiment (N = 599, German-speaking Switzerland) examines (i) perceptions of article quality (measured as credibility, readability, and expertise) across news excerpts that were human-written, AI-assisted, or fully AI-generated, and (ii) self-reported intentions to engage following disclosure of AI involvement. Participants rated two short news excerpts before learning how they had been produced. Articles across all conditions were evaluated similarly in perceived quality. After disclosure, participants in the AI-assisted and AI-generated conditions reported a higher willingness to continue reading their assigned articles compared to the control group, but future willingness to read AI-generated news did not differ across conditions. Overall, the findings suggest that readers assess AI-generated and human-written news comparably in quality, while disclosure of AI use can momentarily increase curiosity or interest without yet changing longer-term reading intentions.