Time-Frequency functional connectivity alterations in Alzheimer's disease and frontotemporal dementia: An EEG analysis using machine learning.

Objective: Alzheimer's disease (AD) and frontotemporal dementia (FTD) are prevalent neurodegenerative diseases characterized by altered brain functional connectivity (FC), affecting over 100 million people worldwide. This study aims to identify distinct FC patterns as potential biomarkers for differential diagnosis.

Methods: Resting-state EEG data from 36 AD patients, 23 FTD patients, and 29 healthy controls were analyzed using time-frequency and bandpass filtering FC metrics.

Identification and Therapeutic Targeting of METTL8-Mediated Lenvatinib Resistance in Hepatocellular Carcinoma Using Rabdosiin.

In hepatocellular carcinoma (HCC), lenvatinib is a key first-line treatment that significantly improves survival in some patients with advanced stage. However, lenvatinib resistance presents a major clinical challenge. This study aims to identify key molecular factors driving lenvatinib resistance in HCC and propose intervention strategies to overcome this resistance, thereby enhancing therapeutic efficacy.

Impaired Vigilance in Patients with Narcolepsy Type 1: A Psychomotor Vigilance Task Study.

Purpose: The psychomotor vigilance task (PVT) is one of the main methods to measure sustained vigilance/attention in sleep research. Vigilance is the main factor affecting daytime function in patients with narcolepsy type 1 (NT1). We aimed to quantify the negative effects of sleep-wake disorders on vigilance and investigate potential neural mechanisms.

Programmable Self-assembly from Two-dimensional Nanosheets to Spiral, Twisted and Branched Nanostructures.

Self-assembly of nanomaterials into hierarchical structure is of great interest to fabricate functional materials. However, programmable design of the assembled structures remains a great challenge. Herein, we reported a programmable self-assembly strategy to customize the assembled structure.

Investigation of Efficient Pullulan Synthesis Utilizing Huangjiu Lees as a Substrate.

Pullulan is a high-value biopolymer synthesized by through the fermentation of starch and sugars. It finds extensive applications in food, packaging, biomedicine, and other sectors. However, the high production costs significantly limit the development and application of pullulan.

DFASGCNS: A prognostic model for ovarian cancer prediction based on dual fusion channels and stacked graph convolution.

Ovarian cancer is a malignant tumor with different clinicopathological and molecular characteristics. Due to its nonspecific early symptoms, the majority of patients are diagnosed with local or extensive metastasis, severely affecting treatment and prognosis. The occurrence of ovarian cancer is influenced by multiple complex mechanisms including genomics, transcriptomics, and proteomics.

A multifunctional bacterial cellulose-based dressing modified by quaternized chitosan and grafted protocatechuic acid for diabetic ulcer.

Herein, we developed a multifunctional bacterial cellulose-based dressing (PHBC) modified by quaternized chitosan (HACC) along with protocatechuic acid (PA), through in situ biosynthesis combined with covalent immobilization. The obtained PHBC dressing maintained the excellent physicochemical characteristics of BC, such as high porosity (above 76 %); high water absorption ratio, >80 % of water absorption rate (approximately 30 g/g) has completed in half an hour; favorable hydrophilicity with contact angle of about 50° and excellent flexibility. The introduction of PA-grafted HACC endows exhibited outstanding antibacterial properties against, anti-inflammatory performance and antioxidant capacity.

Prediction Model and Decision Analysis for Early Recognition of SDNS/FRNS in Children.

Purpose: This study identified factors that identification of progression-predicting utility from steroid-sensitive nephrotic syndrome(SSNS) to steroid-dependent or frequently relapsing nephrotic syndrome (SDNS/FRNS) in patients and developed a corresponding predictive model.

Patients And Methods: This retrospective study analyzed clinical data from 756 patients aged 1 to 18 years, diagnosed with SSNS, who received treatment at the Department of Nephrology, Children's Hospital of Chongqing Medical University, between November 2007 and May 2023. We developed a shrinkage and selection operator (LASSO) - logistic regression model, which was visualized using a nomogram.

Human Brain Organoids Model Abnormal Prenatal Neural Development Induced by Thermal Stimulation.

The developing human foetal brain is sensitive to thermal stimulation during pregnancy. However, the mechanisms by which heat exposure affects human foetal brain development remain unclear, largely due to the lack of appropriate research models for studying thermal stimulation. To address this, we have developed a periodic heating model based on brain organoids derived from human pluripotent stem cells.

Confined Synthesis of 2D Molybdenum Diphosphide Nanosheets via Gas-Solid Transformation.

Molybdenum diphosphide (MoP), a topological semimetal, possesses distinctive properties and applications in catalysis, energy storage, and condensed matter physics. However, synthesizing high-purity MoP is complex and often results in undesired stoichiometric by-products. Additionally, the intrinsic orthorhombic crystal structure makes it difficult to synthesize MoP in a 2D morphology, which is desirable for device and energy applications.

RBM15 increase tumor-infiltrating CD4+ T cell in ESCC modulating of PLOD3.

Background: Collagen, a primary protein component of the extracellular matrix (ECM), undergoes a notable series of alterations concomitant with the growth of the tumor. Procollagen-lysine,2-oxoglutarate 5-dioxygenase 3 (PLOD3) is involved in the synthesis of collagen and has been associated with a variety of cancers. However, it is unclear how PLOD3 functions in esophageal squamous cell carcinoma (ESCC).

Highly efficient Ni/Ac-AlO catalysts in the dry reforming of methane: influence of acetic acid treatment and Ni loading.

The presence of abundant hydroxyl groups on the surface of AlO can promote the dispersion of Ni species but produce an inactive NiAlO phase at high temperatures. Moreover, the catalysts prepared by the conventional incipient wetness impregnation method lack the sites for the activation of CO, which leads to coke deposition and thus affects the catalyst activity. The above restricts the utilization of Ni in conventional Ni/AlO catalysts.

The effect of integrated medical care on the daily life of patients with coronary heart disease.

This study aims to explore the impact of comprehensive medical care on the daily life of patients with coronary heart disease (CHD) and to evaluate its effectiveness in improving quality of life, alleviating symptoms, and reducing the risk of cardiac events. A new comprehensive medical care scheme combining Traditional Chinese Medicine nursing differentiation, collaborative nursing interventions, and specialized community care was proposed. Patients with CHD were recruited as study subjects.

Traffic data imputation knowledge graph-enhanced generative adversarial network.

Traffic data imputation is crucial for the reliability and efficiency of intelligent transportation systems (ITSs), forming the foundation for downstream tasks like traffic prediction and management. However, existing deep learning-based imputation methods struggle with two significant challenges: poor performance under high missing data rates and the limited incorporation of external traffic-related factors. To address these challenges, we propose a novel knowledge graph-enhanced generative adversarial network (KG-GAN) for traffic data imputation.

SARS-CoV-2 N protein recruits G3BP to double membrane vesicles to promote translation of viral mRNAs.

Ras-GTPase-activating protein SH3-domain-binding proteins (G3BP) are critical for the formation of stress granules (SGs) through their RNA- and ribosome-binding properties. SARS-CoV-2 nucleocapsid (N) protein exhibits strong binding affinity for G3BP and inhibits infection-induced SG formation soon after infection. To study the impact of the G3BP-N interaction on viral replication and pathogenesis in detail, we generated a mutant SARS-CoV-2 (RATA) that specifically lacks the G3BP-binding motif in the N protein.

JAK2/ULK1 axis promotes cervical cancer progression by autophagy induction and SRPK1 phosphorylation.

Cervical cancer is the most common gynecologic cancer. Autophagy is involved in the progression of CCa. ULK1 is a crucial kinase in autophagy initiation.

Full-length transcriptome sheds light into the molecular mechanism of tea leaf yellowing induced by red light.

Light, as an energy source for plant photosynthesis, can not only affect the growth and development of plants, but also affect their leaf color. This study used white (WL), red (RL), and blue light (BL) to treat tea cuttings, aiming to investigate the effect of light quality on the color of tea leaves. The results showed that tea leaves turned yellow under red light, the SPAD and Fv/Fm values were significantly lower than WL and BL.

An attention mechanism-based lightweight UNet for musculoskeletal ultrasound image segmentation.

Background: Accurate musculoseletal ultrasound (MSKUS) image segmentation is crucial for diagnosis and treatment planning. Compared with traditional segmentation methods, deploying deep learning segmentation methods that balance segmentation efficiency, accuracy, and model size on edge devices has greater advantages.

Purpose: This paper aims to design a MSKUS image segmentation method that has fewer parameters, lower computation complexity and higher segmentation accuracy.

Measurement of clavicular symmetry: A hint for midshaft clavicle fracture management.

Background: Clavicle fractures represent approximately 2.6∼4 % of all fractures. The management of midshaft clavicle fractures is a topic of debate.

SERS-Based Aptamer Sensing Strategy for Diabetes Biomarker Detection.

Accurate detection of glucose and insulin is crucial for early diagnosis, classification, and timely prevention of diabetes. In this study, we present a novel surface-enhanced Raman scattering (SERS) aptasensor for glucose and insulin detection. The SERS aptasensor is composed of gold bipyramidal nanoparticles (Au BPs), SH-aptamer-methylene blue (MB), and thiolated polyethylene glycol (SH-PEG).

Comparative mitogenomic analysis and phylogeny of Veneridae with doubly uniparental inheritance.

Doubly uniparental inheritance (DUI) is an atypical animal mtDNA inheritance system, reported so far only in bivalve species, in which two mitochondrial lineages exist: one transmitted through the egg (F-type) and the other through the sperm (M-type). Although numerous species exhibit this unusual organelle inheritance, it is primarily documented in marine and freshwater mussels. The distribution, function and molecular evolutionary implications of DUI in the family Veneridae, however, remain unclear.