Genomic Insights into a Multidrug-Resistant Escherichia coli of sequence type 155: A Ceftazidime-Avibactam Resistant Strain Harboring Four Classes of β-Lactamases.

Objective: The emergence of multidrug-resistant (MDR) Escherichia coli strains has significantly constrained antibiotic treatment options, while the spread of antimicrobial resistance genes (ARGs) and mobile genetic elements exacerbates the situation. This study delves into an MDR E. coli strain, QMM-01, which uniquely co-expresses β-lactamases from all four recognized classes, aiming to uncover the underlying mechanisms of its resistance and assess its potential for global spread.

A Comprehensive Analysis of the Epidemiological and Genomic Characteristics of Global Serratia marcescens.

Background: Serratia marcescens outbreaks present significant challenges in clinical treatment, necessitating a deeper understanding of its epidemiological and genomic traits.

Objective: To analyze the epidemiological and genomic characteristics of S. marcescens at a global scale.

Adipocyte promotes adipose tissue inflammation and insulin resistance by modulating macrophages in obesity.

Adipose tissue inflammation is now considered to be a key process underlying metabolic diseases in obese individuals. However, it remains unclear how adipose inflammation is initiated and maintained or the mechanism by which inflammation develops. We found that () expression in adipose tissue is progressively increased with the development of dietary obesity in obese mice and humans.

Stability assessment of housekeeping genes for qRT-PCR in cultured at 22°C and 37°C.

, a species within the genus , thrives optimally at 22-25°C but can also grow at the mammalian core body temperature of 37°C. This dual temperature adaptability necessitates establishing both temperature conditions in research to examine the effects on various biological processes. In quantitative real-time PCR (qRT-PCR) assays, the selection of appropriate housekeeping genes is vital for data accuracy.

The presence of genes encoding carbapenem-hydrolyzing oxacillinase and lack of carbapenem resistance in non-baumannii Acinetobacter misidentified as Acinetobacter baumannii causing bloodstream infections in a tertiary hospital over a 3-year period.

Objective: This study aims to analyze the genomic and clinical characteristics of Non-baumannii Acinetobacter strains misidentified as A. baumannii, causing bloodstream infections (BSIs) in our hospital.

Materials And Methods: Whole genome sequencing was performed and average nucleotide identity (ANI) was analyzed.

Hybrid condition monitoring of nonlinear mechatronic system using biogeography-based optimization particle filter and optimized extreme learning machine.

This paper proposes a hybrid condition monitoring approach, which integrates bond graph model-based diagnostic technique and data-driven remaining useful life (RUL) prediction, for a nonlinear mechatronic system. In this approach, various degrading faults can be considered and the physical degradation model is not required for RUL prediction. Firstly, an integrated fault signature matrix is proposed by the causal path of bicausal-bond graph model to improve fault isolation performance.

Anionic Surfactant-Facilitated Coating of Antimicrobial Peptide and Antibiotic Reduces Biomaterial-Associated Infection.

Medical devices are widely used in modern medicine, but the high prevalence of biomaterial-associated infections still presents a major problem. Especially problematic is the formation of biofilms that are tolerant to most antibiotics. In this report, antimicrobial peptides (AMPs) were driven into an amphipathic structure by anionic surfactant.

Inhibition of bacterial adherence to biomaterials by coating antimicrobial peptides with anionic surfactant.

Medical devices are widely used in modern medicine, but their utilities are often limited by the biofilm formation of bacteria that are tolerant to most antibiotics. In this report, antimicrobial peptides (AMPs) were coated onto biomaterials by the aid of surfactant through hydrophobic interactions. To increase the coating efficiency, stability of AMPs in body fluids and spectrum of antimicrobial activity, pairs of AMPs were coated simultaneously onto various substrates, such as silicone, polyurethane and titanium, which are commonly used components of biomedical devices.

Obesity-induced overexpression of miR-802 impairs insulin transcription and secretion.

B cell dysfunction due to obesity can be associated with alterations in the levels of micro-RNAs (miRNAs). However, the role of miRNAs in these processes remains elusive. Here, we show that miR-802 is increased in the pancreatic islets of obese mouse models and demonstrate that inducible transgenic overexpression of miR-802 in mice causes impaired insulin transcription and secretion.

Neural-Network-Based Adaptive Event-triggered Control for Spacecraft Attitude Tracking.

The problem of attitude tracking control for spacecraft with limited communication rate is addressed in this article. To reduce the communication burden, an adaptive event-triggered control scheme is proposed. In the control scheme, only the sampling states at the event-triggering instants are sent to the control module, which can considerably decrease the data transmission rate.

Therapeutic Mechanisms of Herbal Medicines Against Insulin Resistance: A Review.

Insulin resistance is a condition in which insulin sensitivity is reduced and the insulin signaling pathway is impaired. Although often expressed as an increase in insulin concentration, the disease is characterized by a decrease in insulin action. This increased workload of the pancreas and the consequent decompensation are not only the main mechanisms for the development of type 2 diabetes (T2D), but also exacerbate the damage of metabolic diseases, including obesity, nonalcoholic fatty liver disease, polycystic ovary syndrome, metabolic syndrome, and others.

Effects of Shuganjianpihuatanxingqi decoction on mild subclinical hypothyroidism: A SPIRIT compliant randomized controlled trial study protocol.

Introduction: Mild subclinical hypothyroidism (SCH) can cause depression, fatigue, cognitive dysfunction, or other hypothyroid symptoms, and even progress to hypothyroidism. The treatment of mild SCH is controversial. Shuganjianpihuatanxingqi decoction (SD) is a frequently prescribed Chinese herbal medicine in patients with mild SCH.

Therapeutic Potential of Ginsenosides as an Adjuvant Treatment for Diabetes.

Ginseng, one of the oldest traditional Chinese medicinal herbs, has been used widely in China and Asia for thousands of years. Ginsenosides extracted from ginseng, which is derived from the roots and rhizomes of C. A.

A new biocompatible microemulsion increases extraction yield and bioavailability of Andrographis paniculata.

The purpose of this study was to design and prepare a biocompatible microemulsion of Andrographis paniculata (BMAP) containing both fat-soluble and water-soluble constituents. We determined the contents of active constituents of BMAP and evaluated its bioavailability. The biocompatible microemulsion (BM), containing lecithin and bile salts, was optimized in the present study, showing a good physical stability.

Robust Recurrent Kernel Online Learning.

We propose a robust recurrent kernel online learning (RRKOL) algorithm based on the celebrated real-time recurrent learning approach that exploits the kernel trick in a recurrent online training manner. The novel RRKOL algorithm guarantees weight convergence with regularized risk management through the use of adaptive recurrent hyperparameters for superior generalization performance. Based on a new concept of the structure update error with a variable parameter length, we are the first one to propose the detailed structure update error, such that the weight convergence and robust stability proof can be integrated with a kernel sparsification scheme based on a solid theoretical ground.

Enhanced Data-Driven Optimal Terminal ILC Using Current Iteration Control Knowledge.

In this paper, an enhanced data-driven optimal terminal iterative learning control (E-DDOTILC) is proposed for a class of nonlinear and nonaffine discrete-time systems. A dynamical linearization approach is first developed with iterative operation points to formulate the relationship of system output and input into a linear affine form. Then, an ILC law is constructed with a nonlinear learning gain, which is a function about the system partial derivative with respect to the time-varying control input.

Sparse extreme learning machine for classification.

Extreme learning machine (ELM) was initially proposed for single-hidden-layer feedforward neural networks (SLFNs). In the hidden layer (feature mapping), nodes are randomly generated independently of training data. Furthermore, a unified ELM was proposed, providing a single framework to simplify and unify different learning methods, such as SLFNs, least square support vector machines, proximal support vector machines, and so on.

Microarray data classification using the spectral-feature-based TLS ensemble algorithm.

The reliable and accurate identification of cancer categories is crucial to a successful diagnosis and a proper treatment of the disease. In most existing work, samples of gene expression data are treated as one-dimensional signals, and are analyzed by means of some statistical signal processing techniques or intelligent computation algorithms. In this paper, from an image-processing viewpoint, a spectral-feature-based Tikhonov-regularized least-squares (TLS) ensemble algorithm is proposed for cancer classification using gene expression data.

"Whole Chinese angelica" microemulsion: its preparation and in vivo and in vitro evaluations.

Context: The difference between the chemical polarities of the two categories of active chemical constituents in Chinese angelica volatile oil (CAVO) and Chinese angelica water extract (CAWE) greatly limit the development and clinical application of Chinese angelica preparation.

Object: The aim of this study is to design and prepare a "whole Chinese angelica" microemulsion (WCAM) that contains both CAVO and CAWE and at the same time to evaluate it in vivo and in vitro.

Materials And Methods: CAVO and CAWE extracted from Chinese angelica were used as the oil and aqueous phases, respectively, to prepare the WCAM; its physicochemical property was observed, and its drug potency and oral bioavailability were evaluated.

CPG-inspired workspace trajectory generation and adaptive locomotion control for quadruped robots.

This paper deals with the locomotion control of quadruped robots inspired by the biological concept of central pattern generator (CPG). A control architecture is proposed with a 3-D workspace trajectory generator and a motion engine. The workspace trajectory generator generates adaptive workspace trajectories based on CPGs, and the motion engine realizes joint motion imputes.

A fuzzy controller with supervised learning assisted reinforcement learning algorithm for obstacle avoidance.

Fuzzy logic systems are promising for efficient obstacle avoidance. However, it is difficult to maintain the correctness, consistency, and completeness of a fuzzy rule base constructed and tuned by a human expert. A reinforcement learning method is capable of learning the fuzzy rules automatically.

Wavelet transform-based frequency tuning ILC.

In this paper, a discrete wavelet transform-based cutoff frequency tuning method is proposed and experimental investigation is reported. In the method, discrete wavelet packet algorithm, as a time-frequency analysis tool, is employed to decompose the tracking error into different frequency regions so that the maximal error component can be identified at any time step. At each time step, the passband of the filter is from zero to the upper limit of frequency region where the maximal error component resides.