[Three-dimensional convolutional neural network based on spatial-spectral feature pictures learning for decoding motor imagery electroencephalography signal].

The brain-computer interface (BCI) based on motor imagery electroencephalography (EEG) shows great potential in neurorehabilitation due to its non-invasive nature and ease of use. However, motor imagery EEG signals have low signal-to-noise ratios and spatiotemporal resolutions, leading to low decoding recognition rates with traditional neural networks. To address this, this paper proposed a three-dimensional (3D) convolutional neural network (CNN) method that learns spatial-frequency feature maps, using Welch method to calculate the power spectrum of EEG frequency bands, converted time-series EEG into a brain topographical map with spatial-frequency information.

Examining the dietary contributions of lipids to pancreatic cancer burden (1990-2021): incidence trends and future projections.

Background: Pancreatic cancer (PC) ranks sixth globally among cancer deaths, imposing a significant burden on healthcare systems worldwide. Although diet is known to be a major risk factor, Although diet is a well-established risk factor for PC, the precise dietary components linked to the disease remain inconclusive, with studies showing varying results across different populations and regions. This study addresses this gap through a comprehensive analysis of PC incidence trends from 1990 to 2021, with a specific focus on associations with age, dietary patterns, and socio-demographic determinants.

Hydrogel-based therapies for diabetic foot ulcers: recent developments and clinical implications.

The diabetic foot ulcer is among the most serious diabetes-associated complications, with a long disease course considerably increasing the pain and economic burden of patients, leading to amputation and even death. High blood sugar is characteristic of diabetic foot ulcers, with insufficient blood supply, oxidative stress disorder, and high-risk bacterial infection posing great challenges for disease treatment. Advances in hydrogel dressings have shown potential for the management of diabetic foot ulcers involving multisystem lesions.

Concise asymmetric synthesis of (-)-Bao Gong Teng A Evans chiral auxiliary-based 1,3-dipolar cycloaddition.

We present a concise asymmetric synthesis of (-)-Bao Gong Teng A, a 2-hydroxylated tropane alkaloid with hypotensive and miotic activities isolated from the Chinese herb Benth. Using an Evans chiral auxiliary, we achieve a regio- and stereoselective 1,3-dipolar cycloaddition between -chlorobenzyl pyridinium salt and ()-3-acryloyl-4-phenyloxazolidin-2-one, efficiently generating the tropane skeleton on a decagram scale. This methodology provides a rapid and practical synthesis of optically active (-)-Bao Gong Teng A for further biological studies.

AMEEGNet: attention-based multiscale EEGNet for effective motor imagery EEG decoding.

Recently, electroencephalogram (EEG) based on motor imagery (MI) have gained significant traction in brain-computer interface (BCI) technology, particularly for the rehabilitation of paralyzed patients. But the low signal-to-noise ratio of MI EEG makes it difficult to decode effectively and hinders the development of BCI. In this paper, a method of attention-based multiscale EEGNet (AMEEGNet) was proposed to improve the decoding performance of MI-EEG.

Minimally invasive pancreaticoduodenectomy: A bibliometric method applied to the top one hundred cited articles.

Background: Minimally invasive pancreaticoduodenectomy (MIPD) is considered one of the most complex procedures in general surgery. The number of articles on MIPD has been increasing annually. However, published reports often have complex research directions, and the focal points frequently change.

Developing a Bacillus licheniformis platform for de novo production of γ-aminobutyric acid and other glutamate-derived chemicals.

Microbial cell factories (MCFs) have emerged as a sustainable tool for the production of value-added biochemicals. However, developing high-performance MCFs remains a major challenge to fulfill the burgeoning demands of global markets. This study aimed to establish the B.

Understanding the impact of COVID-19 on quality of life using surveys and Mendelian randomization.

The COVID-19 pandemic has significantly impacted the quality of life (QoL) of individuals in China, affecting both their physical and mental well-being. This study aims to comprehensively analyze the factors influencing QoL in China during the pandemic. In 2022, we collected data using a self-developed questionnaire (dataset 2) and obtained dataset 1 from the 2021 China General Social Survey (CGSS).

Optimization of a green tea seed oil-loaded double-layer emulsion and its preventive effects on dextran sulfate sodium-induced colitis in mice.

Green tea seed oil (GTSO; Camellia sinensis) is rich in bioactive compounds and has great potential for preventing intestinal inflammation. Conversely, high-fat diets have been shown to promote or aggravate gastrointestinal inflammation, and the bioactive ingredients of GTSO face difficulty passing through the gastrointestinal tract while remaining intact. This study employed whey protein isolate (WPI) and sodium carboxymethyl cellulose (CMC-Na) to prepare a GTSO-loaded double-layer emulsion.

Discovery of Tetrahydro Tanshinone I as a Naturally Occurring Covalent -Inhibitor Against Gut Microbial Bile Salt Hydrolases.

Gut microbial bile salt hydrolases (gmBSHs), an important class of bacteria-produced cysteine hydrolases, play a crucial role in bile acid metabolism. Modulating the total gmBSH activity is a feasible way for ameliorating some metabolic diseases including colorectal cancer, type 2 diabetes, and obesity. This study reported the discovery and characterization of a botanical compound as a covalent -inhibitor of gmBSHs.

Optimization of a gelatin/carboxymethylcellulose-based probiotic microcapsule and its application in preventing dextran sodium sulfate-induced colitis in mice.

Oral administration of probiotics has demonstrated substantial potential in alleviating colitis. However, most of the ingested microorganisms struggle to survive the harsh conditions of the gastrointestinal tract, leading to decreased efficacy. In the present study, using double emulsification (W/O/W) and complex coacervation methods, we developed a gelatin/carboxymethyl cellulose (CMC)-based probiotic microcapsule and analyzed the efficacy of encapsulated probiotics in preventing dextran sodium sulfate (DSS)-induced colitis in mice.

Improving Hand Gesture Recognition Robustness to Dynamic Posture Variations by Multimodal Deep Feature Fusion.

Surface electromyography (sEMG), a human-machine interface for gesture recognition, has shown promising potential for decoding motor intentions, but a variety of nonideal factors restrict its practical application in assistive robots. In this paper, we summarized the current mainstream gesture recognition strategies and proposed a gesture recognition method based on multimodal canonical correlation analysis feature fusion classification (MCAFC) for a nonideal condition that occurs in daily life, i.e.

Knowledge mapping and research trends of exosomes in pancreatic cancer: a bibliometric analysis and review (2013-2023).

Objective: This review aims to provide a quantitative and qualitative bibliometric analysis of literature from 2013 to 2023 on the role of exosomes in PC, with the goal of identifying current trends and predicting future hotspots.

Methods: We retrieved relevant publications concerning exosomes in PC, published between 2013 and 2023, from the Web of Science Core Collection. Bibliometric analyses were conducted using VOSviewer(1.

MF-Net: multi-scale feature extraction-integration network for unsupervised deformable registration.

Deformable registration plays a fundamental and crucial role in scenarios such as surgical navigation and image-assisted analysis. While deformable registration methods based on unsupervised learning have shown remarkable success in predicting displacement fields with high accuracy, many existing registration networks are limited by the lack of multi-scale analysis, restricting comprehensive utilization of global and local features in the images. To address this limitation, we propose a novel registration network called multi-scale feature extraction-integration network (MF-Net).

Investigating potential biomarkers of acute pancreatitis in patients with a BMI>30 using Mendelian randomization and transcriptomic analysis.

Background: Acute pancreatitis (AP) has become a significant global health concern, and a high body mass index (BMI) has been identified as a key risk factor exacerbating this condition. Within this context, lipid metabolism assumes a critical role. The complex relationship between elevated BMI and AP, mediated by lipid metabolism, markedly increases the risk of complications and mortality.

N-Heterocyclic Carbene-Catalyzed Formal Intramolecular [3 + 2] Annulations of Cyclohexadienone-Tethered Ynals.

A formal [3 + 2] annulation of cyclohexadienone-tethered ynals is enabled by an N-heterocyclic carbene (NHC) catalyst, affording a tricyclo[6.2.1.

TMC7 functions as a suppressor of Piezo2 in primary sensory neurons blunting peripheral mechanotransduction.

The transmembrane channel-like (TMC) protein family comprises eight members, with TMC1 and TMC2 being extensively studied. This study demonstrates substantial co-expression of TMC7 with the mechanosensitive channel Piezo2 in somatosensory neurons. Genetic deletion of TMC7 in primary sensory ganglia neurons in vivo enhances sensitivity in both physiological and pathological mechanosensory transduction.

3D-CAM: a novel context-aware feature extraction framework for neurological disease classification.

In clinical practice and research, the classification and diagnosis of neurological diseases such as Parkinson's Disease (PD) and Multiple System Atrophy (MSA) have long posed a significant challenge. Currently, deep learning, as a cutting-edge technology, has demonstrated immense potential in computer-aided diagnosis of PD and MSA. However, existing methods rely heavily on manually selecting key feature slices and segmenting regions of interest.

Readily releasable β cells with tight Ca-exocytosis coupling dictate biphasic glucose-stimulated insulin secretion.

Biphasic glucose-stimulated insulin secretion (GSIS) is essential for blood glucose regulation, but a mechanistic model incorporating the recently identified islet β cell heterogeneity remains elusive. Here, we show that insulin secretion is spatially and dynamically heterogeneous across the islet. Using a zinc-based fluorophore with spinning-disc confocal microscopy, we reveal that approximately 40% of islet cells, which we call readily releasable β cells (RRβs), are responsible for 80% of insulin exocytosis events.

Voltage-gated potassium channels KCNQs: Structures, mechanisms, and modulations.

KCNQ (Kv7) channels are voltage-gated, phosphatidylinositol 4,5-bisphosphate- (PIP-) modulated potassium channels that play essential roles in regulating the activity of neurons and cardiac myocytes. Hundreds of mutations in KCNQ channels are closely related to various cardiac and neurological disorders, such as long QT syndrome, epilepsy, and deafness, which makes KCNQ channels important drug targets. During the past several years, the application of single-particle cryo-electron microscopy (cryo-EM) technique in the structure determination of KCNQ channels has greatly advanced our understanding of their molecular mechanisms.

Association of non-HDL-C and depression: a cross-sectional analysis of the NHANES data.

Objectives: Non-high-density lipoprotein cholesterol (non-HDL-C) has attracted attention because it is associated with a variety of diseases and is easy to measure. However, the relationship between non-HDL-C and depression is still unclear. Our aim was to assess the relationship between non-HDL-C and depression using the cross-sectional NHANES survey from 2005 to 2018.

Photo-Controllable Smart Hydrogels for Biomedical Application: A Review.

Nowadays, smart hydrogels are being widely studied by researchers because of their advantages such as simple preparation, stable performance, response to external stimuli, and easy control of response behavior. Photo-controllable smart hydrogels (PCHs) are a class of responsive hydrogels whose physical and chemical properties can be changed when stimulated by light at specific wavelengths. Since the light source is safe, clean, simple to operate, and easy to control, PCHs have broad application prospects in the biomedical field.

Association between adult attachment style, communication patterns and caregiver burden in parents of children with solid tumors: A cross-sectional study.

Purpose: The primary purpose of this cross-sectional study was to delve into the connections among adult attachment styles, communication patterns, and caregiver burden within the sample of parents caring for children diagnosed with solid tumors.

Methods: A sample of 456 parents responsible for the care of children with solid tumors was conveniently recruited from a pediatric oncology ward at a tertiary hospital from September 2021 to September 2022. The data collection process included a questionnaire on general information, the Caregiver Burden Inventory, the Adult Attachment Questionnaire Short Form, and the Communication Pattern Questionnaire.