Interlayer Spacing Optimization Combined with Zinc-Philic Engineering Fostering Efficient Zn Storage of VCT MXenes for Aqueous Zinc-Ion Batteries.

As emerging cutting-edge energy storage technologies, aqueous zinc-ion batteries (AZIBs) have garnered extensive research attention for its high safety, low cost, abundant raw materials, and, eco-friendliness. Nevertheless, the commercialization of AZIBs is mainly limited by insufficient development of cathode materials. Among potential candidates, MXene-based materials stand out as a promising option for their unique combination of hydrophilicity and conductivity.

ECG Biometric Authentication Using Self-Supervised Learning for IoT Edge Sensors.

Wearable Internet of Things (IoT) devices are gaining ground for continuous physiological data acquisition and health monitoring. These physiological signals can be used for security applications to achieve continuous authentication and user convenience due to passive data acquisition. This paper investigates an electrocardiogram (ECG) based biometric user authentication system using features derived from the Convolutional Neural Network (CNN) and self-supervised contrastive learning.

Dominating Alzheimer's disease diagnosis with deep learning on sMRI and DTI-MD.

Background: Alzheimer's disease (AD) is a progressive and irreversible neurodegenerative disorder that has become one of the major health concerns for the elderly. Computer-aided AD diagnosis can assist doctors in quickly and accurately determining patients' severity and affected regions.

Methods: In this paper, we propose a method called MADNet for computer-aided AD diagnosis using multimodal datasets.

Synthesis of cholesterol analogues and comparison on their effect on plasma cholesterol with β-Sitosterol.

The application of plant sterols in the treatment of hypercholesterolemia is promising. We hypothesize that plant sterols can reduce blood cholesterol because they have a side chain of at least three branches. Three cholesterol analogues were synthesized: CA0 (no side chain), CA3 (a 3‑carbon chain with one branch), and CA14 (a 14‑carbon side chain with two branches), and then compared their effect on blood cholesterol with that of β-sitosterol.

A phytic acid-based CoMn bimetallic metal-organic aerogel (PA-CoMn-1 : : 2 - ) as a modifier for electrochemical detection of non-steroidal anti-inflammatory drug 4-acetaminophenol.

Metal phosphides and phosphate-based materials have received significant attention due to their high electrocatalytic activity, adjustable structure composition and stability. Herein, we introduce a phytic acid-based CoMn bimetallic metal-organic (PA-CoMn) aerogel as an electrode modifier, derived from PA and mixed transition metal ions (Co, Mn). We explored its performance in the sensitive sensing of non-steroidal anti-inflammatory drug 4-acetaminophenol (4-AP) for the first time.

A multifunctional gingival retraction cord with antibacterial and hemostasis properties based on Chitosan/Propolis/Tranexamic acid for dental treatment.

A novel gingival retraction cord named P/TA@CSy was prepared using chitosan yarns (CSy) loaded with tranexamic acid (TA) and Propolis (P). P/TA@CSy has good toughness with a breaking strength of 41.3 Pa, benefiting from the twisting structure and Propolis coating.

Robust deep learning from incomplete annotation for accurate lung nodule detection.

Deep learning plays a significant role in the detection of pulmonary nodules in low-dose computed tomography (LDCT) scans, contributing to the diagnosis and treatment of lung cancer. Nevertheless, its effectiveness often relies on the availability of extensive, meticulously annotated dataset. In this paper, we explore the utilization of an incompletely annotated dataset for pulmonary nodules detection and introduce the FULFIL (Forecasting Uncompleted Labels For Inexpensive Lung nodule detection) algorithm as an innovative approach.

Self-supervised contrastive learning for EEG-based cross-subject motor imagery recognition.

. The extensive application of electroencephalography (EEG) in brain-computer interfaces (BCIs) can be attributed to its non-invasive nature and capability to offer high-resolution data. The acquisition of EEG signals is a straightforward process, but the datasets associated with these signals frequently exhibit data scarcity and require substantial resources for proper labeling.

Multi modality fusion transformer with spatio-temporal feature aggregation module for psychiatric disorder diagnosis.

Bipolar disorder (BD) is characterized by recurrent episodes of depression and mild mania. In this paper, to address the common issue of insufficient accuracy in existing methods and meet the requirements of clinical diagnosis, we propose a framework called Spatio-temporal Feature Fusion Transformer (STF2Former). It improves on our previous work - MFFormer by introducing a Spatio-temporal Feature Aggregation Module (STFAM) to learn the temporal and spatial features of rs-fMRI data.

Role of Chinese Acupuncture in the Treatment for Chemotherapy-Induced Cognitive Impairment in Older Patients With Cancer: Protocol for a Randomized Controlled Trial.

Background: Older patients with cancer experience cognitive impairment and a series of neurocognitive symptoms known as chemobrain due to chemotherapy. Moreover, older populations are disproportionately affected by chemobrain and heightened negative mental health outcomes after cytotoxic chemical drug therapy. Chinese acupuncture is an emerging therapeutic option for chemotherapy-induced cognitive impairment in older patients with cancer, despite limited supporting evidence.

Solution blow spun bilayer chitosan/polylactic acid nanofibrous patch with antibacterial and anti-inflammatory properties for accelerating acne healing.

The quercetin (QC) loaded chitosan (CS) nanofibrous patch (CS) was designed and fabricated successfully by solution blow spinning (SBS). And it was employed to explore a functional double-layer nanofibrous patch (CS/PLA) with polylactic acid (PLA) for overcoming the resistance of acne-causing bacteria to antibiotics and local cutaneous irritation. The nanofibrous patch possessed a fluffy bilayer structure with good air permeability, which may be befitted from the SBS method.

ChatGPT Performs on the Chinese National Medical Licensing Examination.

ChatGPT, a language model developed by OpenAI, uses a 175 billion parameter Transformer architecture for natural language processing tasks. This study aimed to compare the knowledge and interpretation ability of ChatGPT with those of medical students in China by administering the Chinese National Medical Licensing Examination (NMLE) to both ChatGPT and medical students. We evaluated the performance of ChatGPT in three years' worth of the NMLE, which consists of four units.

What makes helpful online mental health information? Empirical evidence on the effects of information quality and responders' effort.

Although online health communities are popular in supporting mental health, factors leading to the helpfulness of mental health information are still under-investigated. Based on the elaboration likelihood model and motivation theory, we incorporate two types of health information-related constructs, i.e.

Multiplexed evaluation of immunity against SARS-CoV-2 variants using surface enhanced fluorescence from a nanostructured plasmonic chip.

Generated by the immune system post-infection or through vaccination, the effectiveness of antibodies against emerging SARS-CoV-2 variants is crucial for protecting individuals from the COVID-19 pandemic. Herein, a platform for the multiplexed evaluation of SARS-CoV-2 neutralizing antibodies against various variants was designed on the basis of near-infrared (NIR) surface enhanced fluorescence by nano-plasmonic gold chip (pGOLD). Antibody level across variants (Wild-type, Alpha, Beta, Delta, Omicron) was confirmed by the sera from recovered-individuals who were unvaccinated and had infected with Wild-type, Delta, Omicron variants.

Breaking the Electronic Conductivity Bottleneck of Manganese Oxide Family for High-Power Fluorinated Graphite Composite Cathode by Ligand-Field High-Dimensional Constraining Strategy.

Primary lithium fluorinated graphite (Li/CF ) batteries with superior energy density are an indispensable energy supply for multiple fields but suffer from sluggish reaction kinetics of the CF cathode. Designing composite cathodes emerges as a solution to this problem. Despite the optimal composite component for CF , the manganese oxide family represented by MnO is still faced with an intrinsic electronic conductivity bottleneck, which severely limits the power density of the composite cathode.

Identification and Expression Analysis of the Genes in Cotton.

The NPF (NITRATE TRANSPORTER 1/PEPTIDE TRANSPORTER FAMILY) transports various substrates, including nitrogen (N), which is essential for plant growth and development. Although many NPF homologs have been identified in various plants, limited studies on these proteins have been reported in cotton. This study identified 75, 71, and 150 NPF genes in , and , respectively, via genome-wide analyses.

The formation process and mechanism of gastrointestinal anastomosis after retrieval anchor-assisted endoscopic ultrasound-guided gastroenterostomy: a preclinical study.

Background And Aims: Endoscopic ultrasound-guided gastroenterostomy (EUS-GE) is a promising method of treating gastric outlet obstruction. However, no study has investigated gastrointestinal anastomosis formation after EUS-GE. We aimed to evaluate the formation of gastrointestinal anastomosis after EUS-GE in a porcine model.

An ultrasensitive NIR-IIa' fluorescence-based multiplex immunochromatographic strip test platform for antibiotic residues detection in milk samples.

Introduction: Widely used in livestock breeding, residues of antibiotic drugs in milk have become a threat to food safety and human health. Current rapid detection technologies using colorimetric immunochromatographic strip tests (IST) lack the necessary sensitivity for on-site trace monitoring. Fluorescence-based detection in the near-infrared IIa' (NIR-IIa') region (1000 ∼ 1300 nm) has enormous potential due to greatly minimized auto-fluorescence and light scattering.

Application of the clearance rate of inflammatory markers for evaluation of the therapeutic effect in adult bacterial bloodstream infection.

Background: Bloodstream infection (BSI) is a serious systemic infectious disease. This study aimed to investigate the application of the clearance rate of interleukin-6, procalcitonin, and C-reactive protein for the evaluation of antimicrobial efficacy in adult bacterial BSI without other inflammatory factors.

Methods: Patients with positive blood culture and without other inflammatory factors in The First Hospital of Hebei Medical University from January 2017 to December 2019, who received continuous detection interleukin-6, procalcitonin, and C-reactive protein, were selected.