Microbubble-Enhanced Transdermal Drug Delivery Sonoelectric Patch.

Transdermal drug delivery systems are highly appealing as a convenient drug delivery manner applicable to a wide variety of drugs. While most delivery relies on only passive diffusion and suffers low transdermal efficiencies. Ultrasound motivation promotes drug transdermal penetration but still calls for improvement, because only a thin proportion of the ultrasound energy is applied on the drug delivery patch and most ultrasound energy is wasted in deeper portions of biotissues.

Prognosis poor, immune infiltration of colon adenocarcinoma associated with low expression levels of calcium-activated chloride channel.

The calcium-activated chloride channel (CLCA4) in colon adenocarcinoma (COAD) and immunological infiltration have not been extensively studied. This work thoroughly employed several datasets to assess the expression, prognosis, and association between immune infiltration and clinicopathological characteristics of CLCA4 in cancer, as well as look into potential signalling pathways. The human protein atlas (HPA), TIMER, UALCAN, TISIDB, GSCA, SangerBox, GeneMANIA, and LinkedOmics were among the datasets that were used.

Contact-Electro-Catalysis Through Electret Behavior to Facilitate Electron Transfer.

Contact-electro-catalysis (CEC) usually uses polymer dielectrics as its catalysts under mechanical stimulation conditions, which although has a decent catalytic dye degradation effect still warrants performance improvement. A carrier separation promotion strategy based on an internal electric field by polarization can effectively improve ferroelectric material performance in photocatalysis and piezocatalysis. Therefore, carrier separation as a necessary process of CEC also can be promoted and is largely expected to improve CEC performance theoretically.

A novel atrial fibrillation automatic detection algorithm based on ensemble learning and multi-feature discrimination.

Atrial fibrillation (AF) is a prevalent cardiac arrhythmia disorder that necessitates long-time electrocardiogram (ECG) data for clinical diagnosis, leading to low detection efficiency. Automatic detection of AF signals within short-time ECG recordings is challenging. To address these issues, this paper proposes a novel algorithm called Ensemble Learning and Multi-Feature Discrimination (ELMD) for the identification and detection of AF signals.

Investigating Spillover Energy as a Descriptor for Single-Atom Alloy Catalyst Design.

The identification of thermodynamic descriptors of catalytic performance is essential for the rational design of heterogeneous catalysts. Here, we investigate how spillover energy, a descriptor quantifying whether intermediates are more stable at the dopant or host metal sites, can be used to design single-atom alloys (SAAs) for formic acid dehydrogenation. Using theoretical calculations, we identify NiCu as a SAA with favorable spillover energy and demonstrate that formate intermediates produced after the initial O-H activation are more stable at Ni sites where rate-determining C-H activation occurs.

[An image classification method for arrhythmias based on Gramian angular summation field and improved Inception-ResNet-v2].

Arrhythmia is a significant cardiovascular disease that poses a threat to human health, and its primary diagnosis relies on electrocardiogram (ECG). Implementing computer technology to achieve automatic classification of arrhythmia can effectively avoid human error, improve diagnostic efficiency, and reduce costs. However, most automatic arrhythmia classification algorithms focus on one-dimensional temporal signals, which lack robustness.

Endogenous salicylic acid suppresses de novo root regeneration from leaf explants.

Plants can regenerate new organs from damaged or detached tissues. In the process of de novo root regeneration (DNRR), adventitious roots are frequently formed from the wound site on a detached leaf. Salicylic acid (SA) is a key phytohormone regulating plant defenses and stress responses.

Ⅱ Gene as a Marker for Prognostic Prediction of Hepatocellular Carcinoma: A Bioinformatics Analysis.

Objective To investigate the expression of Ⅱ () in hepatocellular carcinoma (HCC) and its role in predicting prognosis of HCC patients. Methods We used HCC-related datasets in UALCAN, HCCDB, and cBioPortal databases to analyze the expression and mutation of and its co-expressed genes in HCC tissues. GO function and KEGG pathway enrichment of and its co-expressed genes were identified.

Application of SERS in In-Vitro Biomedical Detection.

Surface-enhanced Raman scattering (SERS), as a rapid and nondestructive biological detection method, holds great promise for clinical on spot and early diagnosis. In order to address the challenging demands of on spot detection of biomedical samples, a variety of strategies has been developed. These strategies include substrate structural and component engineering, data processing techniques, as well as combination with other analytical methods.

Adverse childhood experiences and behavioral problems in early adolescence: An empirical study of chinese children.

The aim of the present study was to examine the relationships between ACEs and behavioral problems of children in their early adolescence in Chinese society. Results from bivariate analyses of 2,910 Chinese children in early adolescence indicated that children begin to exhibit behavioral problems being related to the exposure of adverse childhood experiences (ACEs). Compared to those with 0 ACEs, children with 4 or more ACEs were 4.

Deep Brain Stimulation in Drug Addiction Treatment: Research Progress and Perspective.

Drug addiction is a chronic psychiatric disorder characterized by compulsive drug-seeking and drug-using behavior, and a tremendous socioeconomic burden to society. Current pharmacological and psychosocial methods have shown limited treatment effects for substance abuse. Deep Brain Stimulation (DBS) is a novel treatment for psychiatric disease and has gradually gained popularity in the treatment of addiction.

[Correlation between TOPA2A gene expression and the number of CD4 T cells in hepatocellular carcinoma and its clinical prognostic significance].

Objective To analyze the correlation between the expression of TOP2A gene and the proportion of CD4T cells in hepatocellular carcinoma (HCC) and its clinical prognostic significance. Methods The expression of TOP2A mRNA in normal liver tissues and HCC tissues and its significance for survival and prognosis of HCC patients were analyzed by BioGPS, GEPIA and Kaplan-Meier Plotter databases. The coexpression gene of TOP2A and its GO function were analyzed using GENE and Metascape databases, along with the KEGG pathway enrichment analysis.

Multispectral image fusion based pedestrian detection using a multilayer fused deconvolutional single-shot detector.

Recent research has demonstrated that effective fusion of multispectral images (visible and thermal images) enables robust pedestrian detection under various illumination conditions (e.g., daytime and nighttime).

[Bioinformatics analysis and significance of expression of CC chemokine ligand 23 (CCL23) in hepatocellular carcinoma].

Objective To investigate the expression of C-C motif chemokine ligand 23 (CCL23) in hepatocellular carcinoma (HCC) and its clinical significance for survival and prognosis. Methods GEPIA, HCCDB, MetaScape, TIMER, TISIDB, Kaplan-Meier Plotter and other online databases were used to analyze the expression level of CCL23 in HCC, the functional notes of co-expression gene and its gene ontology (GO), the enrichment of Kyoto gene and genome encyclopedia (KEGG), the correlation between tumor cell purity, the expression of CCL23 in immune cells and its significance for survival and prognosis of patients. Results The expression of CCL23 in all stages of HCC was negatively correlated with the purity of HCC tumor cells.

A New Deep Learning Based Multi-Spectral Image Fusion Method.

In this paper, we present a new effective infrared (IR) and visible (VIS) image fusion method by using a deep neural network. In our method, a Siamese convolutional neural network (CNN) is applied to automatically generate a weight map which represents the saliency of each pixel for a pair of source images. A CNN plays a role in automatic encoding an image into a feature domain for classification.

Response of greenhouse gas emissions and microbial community dynamics to temperature variation during partial nitrification.

This study investigated the greenhouse gas emission characteristics and microbial community dynamics with the variation of temperature during partial nitrification. Low temperature weakened nitrite accumulation, and partial nitrification would shift to complete nitrification easily at 15 °C. Based on CO equivalents (CO-eq), partial nitrification process released 2.

Structural Determination of Ruthenium Complexes Containing Bi-Dentate Pyrrole-Ketone Ligands.

A series of ruthenium compounds containing a pyrrole-ketone bidentate ligand, 2-(2'-methoxybenzoyl)pyrrole (), have been synthesized and characterized. Reacting with [(η⁶-cymene)RuCl₂]₂ and RuHCl(CO)(PPh₃)₃ generated Ru(η⁶-cymene)[C₄H₃N-2-(CO-C₆H₄-2-OMe)]Cl () and {RuCl(CO)(PPh₃)₂[C₄H₃N-2-(COC₆H₄-2-OMe)]} (), respectively, in moderate yields. Successively reacting with sodium cyanate and sodium azide gave {Ru(η⁶-cymene)[C₄H₃N-2-(CO-C₆H₄-2-OMe)]X} (, X=OCN; , X=N₃) with the elimination of sodium chloride.

Hypervalent Iodine(III)-Induced Domino Oxidative Cyclization for the Synthesis of Cyclopenta[b]furans.

A new strategy for cyclopenta[]furan synthesis mediated by hypervalent iodine(III) has been described. The approach employs diacetoxyiodobenzene-induced initial dehydrogenation to a putative trienone intermediate and triggered sequential cycloisomerization to form the cyclo-penta[]furan targets.

Discovering chromatin motifs using FAIRE sequencing and the human diploid genome.

Background: Specific chromatin structures are associated with active or inactive gene transcription. The gene regulatory elements are intrinsically dynamic and alternate between inactive and active states through the recruitment of DNA binding proteins, such as chromatin-remodeling proteins.

Results: We developed a unique genome-wide method to discover DNA motifs associated with chromatin accessibility using formaldehyde-assisted isolation of regulatory elements with high-throughput sequencing (FAIRE-seq).