DRFNet: Enhancing Identity Discriminability and Feature Robustness for Cross-Session VEP-Based EEG Biometrics.

Biometric recognition using visually evoked potentials (VEPs), a type of neural response to visual stimuli recorded via electroencephalography (EEG), has shown great promise. However, the non-stationary nature of EEG signals poses a major challenge in cross-session scenarios, where data collected on different days often leads to performance degradation. To address this, we propose the Discriminative Robust Feature Network (DRFNet) to enhance the robustness and inter-subject discriminability of identity representations across sessions.

Stroke-associated dysarthria.

A stroke can damage various regions of the brain. Damage to the upper motor neurons of the pyramidal tracts causes unilateral upper motor neuron dysarthria or spastic dysarthria. Dysarthria caused by a stroke is characterized by the coexistence of neurological deficits such as hemiparesis, hemiataxia, clumsiness of one hand, central facial paresis, and tongue deviation.

A Review on Mechanical, Electrical, Chemical, and Electrochemical Properties of Coating Materials for Silicon Anodes in Lithium-Ion Batteries.

Silicon (Si) has emerged as a highly promising anode material for next-generation lithium-ion batteries of high energy density. Nevertheless, its commercial adoption remains hindered by the disastrous huge volumetric evolution during repeated de-/lithiation cycles. Full coating of Si has proven effective in addressing these intrinsic limitations.

Snapshot hyperspectral imaging method based on a transformer and auxiliary learning tasks.

This paper proposes a noise-resistant coded aperture snapshot spectral imaging (CASSI) reconstruction algorithm based on a spectral awareness network (SANet). The method maps the snapshot compressed measurements to a panchromatic (PAN) image as an auxiliary learning task for reconstructing hyperspectral images. The PAN images reconstructed by the network are extracted to provide spatial detail information, which is then fed into the CASSI reconstruction network to enhance its regularization capability.

Study of Dielectric-Modulated Buried Source Horizontally Double-Gate TFET-Based Biosensors.

In this paper, a dielectric-modulated buried source horizontally double-gate TFET-based (DM-BSHDG TFET) biosensors is proposed for detection of biomolecules. The channel partially encloses the buried source, and the drain half surrounds the channel. Horizontally double gate is located above the source and channel.

Anti-PD-1 therapy for preventing recurrence and improving survival in hepatocellular carcinoma patients after hepatectomy.

Background And Aim: Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality worldwide, with a high recurrence rate after resection. This study investigates the efficacy of postoperative anti-PD-1 antibody therapy on overall survival (OS) and recurrence-free survival (RFS) in HCC patients, with a particular focus on those positive for vessels encapsulating tumor clusters (VETC), a marker of aggressive disease behavior and high recurrence risk.

Methods: This prospective observational study analyzed data from HCC patients who underwent curative liver resection between June 2015 and June 2022.

Blood flow patterns in patients with mild/moderate coronary serial stenosis: A Pilot study.

Patients with mild/moderate coronary stenosis often show mismatches between initial examination results and follow-up outcomes. While regular examinations evaluate stenosis degree, plaque composition, and perfusion function, they frequently ignore flow disorder caused by plaques (especially serial plaques). This study aims to find the characteristics of coronary blood flow patterns in patients with different clinical outcomes.

Prediction Consistency and Confidence-Based Proxy Domain Construction for Privacy-Preserving in Cross-Subject EEG Classification.

Domain adaptation has proven effective for suppressing the inter-subject variability problem in cross-subject EEG classification tasks in which labeled data is available for source subjects while only unlabeled data is provided for target subjects. Existing domain adaptation methods typically reduced the distribution discrepancy between source and target domains by directly utilizing source domain samples or features. To safeguard the privacy of source domain data, we propose to construct a Proxy Domain by simultaneously considering the prediction Consistency and Confidence (PDCC) of locally trained source models on target EEG samples, serving as the substitute to the source domain.

Long-Term Outcomes of BAV-0 Patients Compared With BAV-1 and TAV Patients After TAVR.

Background: Differences in long-term clinical outcomes following transcatheter aortic valve replacement (TAVR) in different anatomical subtypes of aortic valve stenosis (AS), specifically tricuspid aortic valves (TAV) and bicuspid aortic valves (BAV) of types 0 (BAV-0) and 1 (BAV-1), are not well understood.

Objectives: The authors sought to report and compare the long-term clinical outcomes among patients with different anatomical subtypes of AS undergoing TAVR.

Methods: We conducted an international retrospective cohort study involving patients who underwent TAVR for severe AS at 3 large, high-volume heart centers in China, Germany, and Denmark before October 2018.

Clinical Efficacy of Atorvastatin and PCSK9 Inhibitors in Patients With Borderline Coronary Lesions: An Intravascular Ultrasound Assessment.

BackgroundWhile PCSK9 inhibition has proven safe and effective, there is limited research on using intravascular ultrasound (IVUS) to assess the impact of atorvastatin combined with PCSK9 inhibitors on borderline coronary lesions.MethodsFrom June 2022 to June 2025, a detailed analysis of biochemical markers, coronary angiography (CAG), and IVUS was conducted on 69 patients with borderline coronary lesions after different treatments.ResultsOf the 69 patients enrolled, 60 completed the 48-week study.

Machine learning differentiation of rheumatoid arthritis-Sjögren's syndrome overlap from Sjögren's syndrome with polyarthritis.

Objective: This study aimed to evaluate the utility of machine learning algorithms in differentiating rheumatoid arthritis-Sjögren's syndrome overlap (RA-SS) from Sjögren's syndrome with polyarthritis (SS-PA), and to identify key factors influencing diagnostic differentiation.

Methods: This retrospective analysis included 106 RA-SS and 135 SS-PA patients randomized 7:3 into training and validation sets. Clinical, laboratory, and radiographic data were collected.

A pilot study on LC-MS/MS quantification of remifentanil, etomidate, and rocuronium in maternal and fetal serum microsamples.

While remifentanil, etomidate, and rocuronium are increasingly used for cesarean section due to their favorable hemodynamic stability and fetal safety profile, their pharmacokinetics and potential effects on neonates remain poorly understood. This study developed and validated a rapid, sensitive LC-MS/MS method for simultaneous quantification of the three anesthetics in microsamples of 10 μl serum, followed by a paired maternal and umbilical cord serum investigation. After protein precipitation with acetonitrile, analytes were separated within 4 min using positive electrospray ionization in MRM mode.

Temporal Relation Modeling and Multimodal Adversarial Alignment Network for Pilot Workload Evaluation.

Pilots face complex working environments during flight missions, which can easily lead to excessive workload and affect flight safety. Physiological signals are commonly used to evaluate a pilot's workload because they are objective and can directly reflect physiological mental states. However, existing methods have shortcomings in temporal modeling, making it challenging to fully capture the dynamic characteristics of physiological signals over time.

EEG-based speech imagery decoding by dynamic hypergraph learning within projected and selected feature subspaces.

Speech imagery is a nascent paradigm that is receiving widespread attention in current brain-computer interface (BCI) research. By collecting the electroencephalogram (EEG) data generated when imagining the pronunciation of a sentence or word in human mind, machine learning methods are used to decode the intention that the subject wants to express. Among existing decoding methods, graph is often used as an effective tool to model the data structure; however, in the field of BCI research, the correlations between EEG samples may not be fully characterized by simple pairwise relationships.

Synergistic effects of oral exclusive enteral nutrition and biologics in induction therapy for adult Crohn's disease: A real-world observational study.

Background: Exclusive enteral nutrition (EEN) is recommended as first-line induction therapy for pediatric Crohn's disease (CD), but its use in adults, especially alongside biologics, is limited. This study evaluated the effectiveness of a structured oral EEN approach combined with biologics as induction therapy in adult active CD.

Methods: A total of 242 biologically treated adult CD patients were retrospectively enrolled after propensity score matching and divided into combined-EEN (n = 121) and non-EEN (n = 121) groups.

Influences of plant functional traits on soil organic carbon stocks: The roles of carbon input quality and diversity.

Soil organic carbon (SOC) predominately originates from the decomposition of plant aboveground and belowground litter, which consists of diverse traits mixed in varying proportions. While numerous studies of litter decomposition have been conducted, the majority have primarily focused on litter mass loss rates. Our comprehension of how the quality and diversity of plant C inputs impact SOC formation remains significantly constrained largely due to the difficulty in their direct measurement at the ecosystem scale.

[Clinical efficacy of autologous apheresis platelet-rich plasma combined with adjustable titanium plate fixation in the treatment of Rockwood type Ⅲ acromioclavicular joint dislocation].

Objective: To explore clinical efficacy of autologous platelet-rich plasma(PRP) in treating Rockwood type Ⅲ acromioclavicular dislocation.

Methods: From January 2019 to July 2021, 32 patients with Rockwood type Ⅲ acromioclavicular dislocation were treated with minimally invasive adjustable titanium plate internal fixation, and were divided into PRP group and control group according to whether PRP treatment was performed, with 16 patients in each group. In PRP group, there were 10 males and 6 females, aged from 28 to 47 years old with an average of (36.

Usefulness of levels of 2-methylbutyrylglycine and 2-ethylhydracrylic acid in urine for diagnosing 2-methylbutyrylglycinuria.

Background: The congenital disease 2-methylbutyrylglycinuria involves defective isoleucine metabolism and is currently diagnosed based on elevated levels of 2-methylbutyrylcarnitine/isovalerylcarnitine C5 in blood, followed by analysis of 2-methylbutyrylglycine (2-MBG) in urine at an early stage. However, 2-ethylhydracrylic acid (2-EHA) was reported as a more easily detected marker for 2-methylbutyrylglycinuria due to its larger volume in urine. Here we explored the usefulness of two urinary markers for diagnosing the condition.

A circular RNA overcomes acquired resistance to BET inhibitors by antagonizing IGF2BP2-mediated c-MYC translation in TNBC.

Bromodomain-and-extraterminal-domain (BET) proteins are promising therapeutic targets for refractory solid tumors, including triple-negative breast cancer (TNBC). However, acquired resistance to BET inhibitors (BETi) remains a significant clinical challenge. Elucidation of the underlying mechanisms of BETi resistance is therefore of critical importance.

Biomarkers for Predicting Blood Pressure Response to Renal Denervation.

Purpose Of Review: Since the FDA approved transcatheter renal denervation (RDN) for the treatment of uncontrolled hypertension in 2023, cardiologists have sought to answer a critical question: "Who benefits from RDN?" The blood pressure-lowering effect of RDN varies considerably among individuals, with some showing little to no response. Predicting individual response remains challenging due to the lack of reliable biomarkers. This review summarizes potential biomarkers for predicting the antihypertensive response to RDN, with a focus on their pathophysiological mechanisms.

Atomic-level cation occupation and magnetic properties of Ce-doped ZnFeO spinel ferrite.

Rare-earth doping has been proven to be an effective strategy for tailoring the magnetic properties of ferrites. In this study, we report a direct experimental observation of the precise occupation of cations in Ce-doped spinel ZnFeO ferrites. We demonstrate that divalent Zn cations and trivalent Fe cations respectively occupy all tetrahedral A sites and all octahedral B sites in ZnFeO nanofibers, which aligns well with the normal spinel structure.

Trends of cotinine and secondhand smoke exposure rates in children and adolescent aged 6-19 years: Impact of race and socioeconomic factors over two decades.

Background: Exposure to smoking or secondhand smoke during childhood and adolescence is linked to various diseases, highlighting the importance of exploring trends in secondhand smoke exposure. Our study examines trends in cotinine (COT) levels and the prevalence of high COT from 1999 to 2020, analyzing the data by gender, age, race, and income level.

Methods: In this analysis, data from ten National Health and Nutrition Examination Survey (NHANES) cycles, conducted from 1999-2000 to 2017-2020, were utilized.

Identification of Small Open Reading Frame-Encoded Peptides in Glioma by an Optimized Proteomics Strategy.

Small open reading frame-encoded peptides (SEPs), translated from previously unannotated genomic regions, have emerged as important regulators in diverse physiological and pathological processes. While ribosome profiling and bioinformatics analysis can predict putative SEPs, mass spectrometry (MS) is the only method for their definitive identification. However, MS-based SEP detection faces significant challenges due to SEP's short length and low abundance.