Hsa_circ_0040809 regulates colorectal cancer development by upregulating methyltransferase DNMT1 via targeting miR-515-5p.

Background: Circular RNAs (circRNAs) are key regulators in the progression of various cancers. Abnormal DNA methylation patterns feature prominently in the regulation of the expression of tumor-related genes. This study is aimed at investigating the molecular mechanism of circ_0040809 affecting colorectal cancer (CRC) progression by regulating DNA methyltransferase 1 (DNMT1).

Higher Dose to Organs at Risk: The Unintended Consequences of Intravenous Contrast Use in Computed Tomography Simulation for Cervical Cancer.

Purpose: To compare the volumes of interest and doses to the organs at risk on contrast and noncontrast scans in patients with cervical cancer who underwent prophylactic extended-field radiation therapy (EFRT).

Methods And Materials: We reviewed twenty cervical cancer patients treated with prophylactic EFRT at Peking Union Medical College Hospital between March 2021 and April 2021. Each patient underwent noncontrast and contrast scans during simulation.

Vehicle Detection in Remote Sensing Image Based on Machine Vision.

Target detection in remote sensing images is very challenging research. Followed by the recent development of deep learning, the target detection algorithm has obtained large and fast growth. However, in the application of remote sensing images, due to the small target, wide range, small texture, and complex background, the existing target detection methods cannot achieve people's hope.

Comparison of Absorbable Packing versus No Packing in Wound Healing after Endoscopic Sinus Surgery: A Systematic Review and Pooled Analysis.

Introduction: Nasal packing after endoscopic sinus surgery (ESS) is controversial. The aim of this systematic review was to compare absorbable packing versus no packing in wound healing after ESS for the treatment of chronic rhinosinusitis.

Data Source: English electronic databases, including Cochrane Library, EMBASE, MEDLINE, and PubMed, were searched, and only randomized controlled trials were included.

A three-dimensional printed model in preoperative consent for ventricular septal defect repair.

Background: The 3D printing technology in congenital cardiac surgery has been widely utilized to improve patients' understanding of their disease. However, there has been no randomized controlled study on its usefulness in surgical consent for congenital heart disease repair.

Methods: A randomized controlled study was performed during consent process in which guardians of candidates for ventricular septal defect repair were given detailed explanation of the anatomy, indication for surgery and potential complication and risks using 3D print ventricular septal defect model (n = 20) versus a conventional 2D diagram (n = 20).

MiR-96-5p is an oncogene in lung adenocarcinoma and facilitates tumor progression through ARHGAP6 downregulation.

Accumulating investigations illustrated that miRNA acts as a key regulator in tumor progression, whereas regulatory role of miR-96-5p in lung adenocarcinoma (LUAD) is warranted. Thus, we sought to probe mechanism of miR-96-5p in this disease. Through bioinformatics analysis, miR-96-5p level in normal tissue and LUAD tissue in TCGA database were obtained.

An Intelligent Heartbeat Classification System Based on Attributable Features with AdaBoost+Random Forest Algorithm.

Arrhythmia is a common cardiovascular disease that can threaten human life. In order to assist doctors in accurately diagnosing arrhythmia, an intelligent heartbeat classification system based on the selected optimal feature sets and AdaBoost + Random Forest model is developed. This system can acquire ECG signals through the Holter and transmit them to the cloud platform for preprocessing and feature extraction, and the features are input into AdaBoost + Random Forest for heartbeat classification.

Alagille syndrome caused by NOTCH2 mutation presented atypical pathological changes.

Background: Alagille syndrome (ALGS) is a rare multisystem disorder caused by mutations in the JAG1 or NOTCH2 gene. However NOTCH2 gene mutations were rarely found in the Alagille patients. Little is known about the clinical and pathological profiles about Alagille patients with NOTCH2 mutation.

Efficacy and Safety of Long-Term Low-Dose Clarithromycin in Patients With Refractory Chronic Sinusitis After Endoscopic Sinus Surgery: A Prospective Clinical Trial.

Objective: To observe the efficacy and safety of postoperative long-term low-dose oral administration of clarithromycin in patients with refractory chronic rhinosinusitis (RCRS), to explore the characteristics of postoperative microbiota in the nasal cavity in patients with RCRS, and to compare the differences and changes in microbiota in the nasal cavity before and after medication.

Methods: This was a prospective, self-controlled study. Eighteen patients with RCRS who had persistent symptoms after endoscopic sinus surgery and standard therapy with normal immunoglobulin E and eosinophil level were included.

[Clinical and imaging features of sinonasal oncocytic papilloma].

To analysze the clinical and imaging features of sinonasal oncocytic papilloma（SNOP）. The clinical data of 31 cases of SNOP confirmed by pathology from May 2006 to September 2020 were retrospectively analyzed. The common sites of the tumor, clinical symptoms, imaging features and follow-up results were analyzed.

[Risk factors of malignant transformation of sinonasal inverted papilloma].

To explore the risk factors of malignant transformation of sinonasal inverted papilloma （SNIP）, and to improve the accuracy of preoperative diagnosis of tumor. The clinical data of 89 patients with sinonasal inverted papilloma （SNIP group, n=60） and malignant transformation of sinonasal inverted papilloma （IP-SCC, =29） were analyzed retrospectively. Clinical symptoms, medical history, endoscopic examination, characteristic of sinonasal CT scan and MR imaging were collected and compared between two groups.

Assessment of the Evolution of Groundwater Chemistry and Its Controlling Factors in the Huangshui River Basin of Northwestern China, Using Hydrochemistry and Multivariate Statistical Techniques.

Groundwater is an eco-environmental factor and critical resource required for human life and socioeconomic development. Understanding the evolution of groundwater chemistry and its controlling factors are imperative for preventing its deterioration and ensuring its sustainable use. We studied the characteristics of groundwater chemistry in the Huangshui River Basin in Qinghai Province, China using hydrochemical techniques.

Potent and protective IGHV3-53/3-66 public antibodies and their shared escape mutant on the spike of SARS-CoV-2.

Neutralizing antibodies (nAbs) to SARS-CoV-2 hold powerful potentials for clinical interventions against COVID-19 disease. However, their common genetic and biologic features remain elusive. Here we interrogate a total of 165 antibodies from eight COVID-19 patients, and find that potent nAbs from different patients have disproportionally high representation of IGHV3-53/3-66 usage, and therefore termed as public antibodies.

Eosinophils Correlate with Epithelial-Mesenchymal Transition in Chronic Rhinosinusitis with Nasal Polyps.

Introduction: Chronic inflammation and tissue remodeling always occur together in chronic rhinosinusitis (CRS). Epithelial-mesenchymal transition (EMT) plays a critical role in airway remodeling.

Objective: Changes of epithelial cells in sinus mucosa in different subtypes of CRS, especially in eosinophilic chronic rhinosinusitis with nasal polyps, and the role of EMT and eosinophils (EOS) in airway remodeling are still unknown.

Identification of Arrhythmia by Using a Decision Tree and Gated Network Fusion Model.

In recent years, deep learning (DNN) based methods have made leapfrogging level breakthroughs in detecting cardiac arrhythmias as the cost effectiveness of arithmetic power, and data size has broken through the tipping point. However, the inability of these methods to provide a basis for modeling decisions limits clinicians' confidence on such methods. In this paper, a Gate Recurrent Unit (GRU) and decision tree fusion model, referred to as (T-GRU), was designed to explore the problem of arrhythmia recognition and to improve the credibility of deep learning methods.

The architecture of the SARS-CoV-2 RNA genome inside virion.

SARS-CoV-2 carries the largest single-stranded RNA genome and is the causal pathogen of the ongoing COVID-19 pandemic. How the SARS-CoV-2 RNA genome is folded in the virion remains unknown. To fill the knowledge gap and facilitate structure-based drug development, we develop a virion RNA in situ conformation sequencing technology, named vRIC-seq, for probing viral RNA genome structure unbiasedly.

Rh(iii)-catalyzed tandem annulative redox-neutral arylation/amidation of aromatic tethered alkenes.

Transition-metal-catalyzed directed C-H functionalization has emerged as a powerful and straightforward tool to construct C-C bonds and C-N bonds. Among these processes, the intramolecular annulative alkene hydroarylation reaction has received much attention because this intramolecular annulation can produce more complex and high value-added structural motifs found in numerous natural products and bioactive molecules. Despite remarkable progress, these annulative protocols developed to date remain limited to hydroarylation and functionalization of one side of alkenes, thus largely limiting the structural diversity and complexity.

Glucose Metabolic Dysfunction in Neurodegenerative Diseases-New Mechanistic Insights and the Potential of Hypoxia as a Prospective Therapy Targeting Metabolic Reprogramming.

Glucose is the main circulating energy substrate for the adult brain. Owing to the high energy demand of nerve cells, glucose is actively oxidized to produce ATP and has a synergistic effect with mitochondria in metabolic pathways. The dysfunction of glucose metabolism inevitably disturbs the normal functioning of neurons, which is widely observed in neurodegenerative disease.

Metabolic Reprogramming: Strategy for Ischemic Stroke Treatment by Ischemic Preconditioning.

Stroke is one of the leading causes of death and permanent disability worldwide. Ischemic preconditioning (IPC) is an endogenous protective strategy, which has been reported to exhibit a significant neuroprotective effect in reducing the incidence of ischemic stroke. However, the underlying neuroprotective mechanisms of IPC remain elusive.

A self-assembled DNA nanostructure as a FRET nanoflare for intracellular ATP imaging.

Due to the incorporation of gold nanoparticles (AuNPs), previously reported AuNP-based FRET nanoflares still have some problems, such as non-negligible cytotoxicity and a time-consuming preparation procedure. In this communication, a novel AuNP-free FRET nanoflare for intracellular ATP imaging is developed based on a DNA nanostructure, which is self-assembled through cyclic U-type hybridization only involving a certain number of DNA strands.

Multiscale Residual Network Based on Channel Spatial Attention Mechanism for Multilabel ECG Classification.

Automatic classification of ECG is very important for early prevention and auxiliary diagnosis of cardiovascular disease patients. In recent years, many studies based on ECG have achieved good results, most of which are based on single-label problems; one record corresponds to one label. However, in actual clinical applications, an ECG record may contain multiple diseases at the same time.

Iterative tomography with digital adaptive optics permits hour-long intravital observation of 3D subcellular dynamics at millisecond scale.

Long-term subcellular intravital imaging in mammals is vital to study diverse intercellular behaviors and organelle functions during native physiological processes. However, optical heterogeneity, tissue opacity, and phototoxicity pose great challenges. Here, we propose a computational imaging framework, termed digital adaptive optics scanning light-field mutual iterative tomography (DAOSLIMIT), featuring high-speed, high-resolution 3D imaging, tiled wavefront correction, and low phototoxicity with a compact system.

An effective feature extraction method based on GDS for atrial fibrillation detection.

Atrial fibrillation (AF) is a common and extremely harmful arrhythmia disease. Automatic detection of AF based on ECG helps accurate and timely detection of the condition. However, the existing AF detection methods are mostly based on complex signal transformation or precise waveform localization.