Adverse effects of linezolid in the treatment of drug-resistant tuberculosis combined with diabetic peripheral neuropathy.

Objective: This aimed to observe the adverse effects of linezolid on nerve conduction velocity in patients with drug-resistant tuberculosis combined with diabetic peripheral neuropathy.

Methods: Patients hospitalized in our hospital from March 2018 to March 2022 were divided into the drug-resistant tuberculosis (DRTB) group, type 2 diabetes peripheral neuropathy (DPN) group, and type 2 diabetic peripheral neuropathy combined with drug-resistant tuberculosis (DM-DRTB) group. The drug-resistant TB treatment regimen used linezolid with antituberculous drugs.

Self-Expanding Aortic Endoprosthesis for Conduit Preparation Prior to Transcatheter Pulmonary Valve Replacement.

Background: Preparation of the right ventricular outflow tract (RVOT) using covered stent placement is a common preparatory step for transcatheter pulmonary valve replacement (TPVR) to reduce the risk of disruption associated with dilating calcified RVOT conduits.

Aim: We present a novel method employing a self-expanding covered aortic endoprosthesis and discuss its advantages as an alternative strategy.

Methods: Patients with congenital heart disease undergoing RVOT conduit preparation with the GORE TAG Thoracic Branch Endoprosthesis Extender (W.

Evaluation of CACNA1C-Positive Patients Evaluated in a Tertiary Genetic Heart Rhythm Clinic.

Genetic variants in CACNA1C are associated with several cardiac and neurologic conditions. We conducted a retrospective review of patients evaluated and treated who presented with a pathogenic (P), likely pathogenic (LP), or variant of uncertain significance (VUS) in CACNA1C. Among 4,774 patients, 49 had P, LP, or VUS variants (55% female; median age 15 years; mean QTc 481 ms).

Successful Utilization of Organ Care System in Three Pediatric Heart Transplant Recipients.

Introduction: Improving organ preservation is essential for expanding the donor pool and enhancing outcomes for pediatric transplant recipients. This report presents three pediatric patients who received donor hearts preserved using the Organ Care System (OCS). All donor hearts were prepared, placed, and monitored on OCS according to standard protocols.

Correction: Wu et al. Effect of Highland Barley on Rheological Properties, Textural Properties and Starch Digestibility of Chinese Steamed Bread. 2022, , 1091.

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Expressibility-induced Concentration of Quantum Neural Tangent Kernels.

Quantum tangent kernel methods provide an efficient approach to analyzing the performance of quantum machine learning models in the infinite-width limit, which is of crucial importance in designing appropriate circuit architectures for certain learning tasks. Recently, they have been adapted to describe the convergence rate of training errors in quantum neural networks in an analytical manner. Here, we study the connections between the expressibility and value concentration of quantum tangent kernel models.

Upregulating miR-181b promotes ferroptosis in osteoarthritic chondrocytes by inhibiting SLC7A11.

Background: Osteoarthritis (OA) is a common disease with a complex pathology. This study aimed to investigate the correlation between the aberrant upregulation of miR-181b and ferroptosis in chondrocytes during the progression of OA.

Methods: An OA cell model was constructed with erastin.

[Research of progress of mitochondria in the pathogenesis of sepsis].

Sepsis is an organ dysfunction caused by dysregulation of the body's response to infection, with high morbidity and mortality. The pathogenesis of sepsis is still unclear, and there are no specific treatment drugs. As a cell energy supply unit, the dynamic changes of mitochondria are closely related to various diseases.

ED of epidural esketamine with 0.075% ropivacaine for labor analgesia in nulliparous parturients: a prospective, randomized and dose-finding study.

Because it has been reported that racemic ketamine had a local anesthetic-sparing effect when used for epidural analgesia this would suggest the likelihood of a potential advantage (less pruritus) over opioid drugs. Esketamine has greater analgesic efficacy than racemic ketamine, but the optimum dosage regimen for epidural use is undetermined. The aim of this study was to determine the ED of epidural esketamine when coadministered with 0.

Transcatheter Treatment of Native Coarctation of the Aorta in a Child Using a Balloon-Expandable Endoprosthesis.

A 7-year-old child with native coarctation of the aorta was treated by transcatheter therapy using a 29-mm balloon-expandable stent. The procedure was successful and free of complications, and the patient was discharged home the same day. This stent has several features making it uniquely advantageous for treating this condition.

EoE behaves as a unique Th2 disease: a narrative review.

Background And Objective: To highlight and interpret two significant differences between eosinophilic esophagitis (EoE), a type 2 helper cell (Th2) disease, and three other representative Th2 diseases. EoE, asthma, atopic dermatitis (AD), chronic rhinosinusitis (CRS) and other Th2 diseases employ epithelial alarmins to recognize triggers, share a prototypical inflammatory cascade, and respond to glucocorticoids. However, EoE also has several distinguishing characteristics which may be explained by a distinct pathophysiologic mechanism.

Unsupervised learning of interacting topological phases from experimental observables.

Classifying topological phases of matter with strong interactions is a notoriously challenging task and has attracted considerable attention in recent years. In this paper, we propose an unsupervised machine learning approach that can classify a wide range of symmetry-protected interacting topological phases directly from the experimental observables and without a priori knowledge. We analytically show that Green's functions, which can be derived from spectral functions that can be measured directly in an experiment, are suitable for serving as the input data for our learning proposal based on the diffusion map.

Presence and Absence of Barren Plateaus in Tensor-Network Based Machine Learning.

Tensor networks are efficient representations of high-dimensional tensors with widespread applications in quantum many-body physics. Recently, they have been adapted to the field of machine learning, giving rise to an emergent research frontier that has attracted considerable attention. Here, we study the trainability of tensor-network based machine learning models by exploring the landscapes of different loss functions, with a focus on the matrix product states (also called tensor trains) architecture.

Pediatric Eosinophilic Esophagitis: Searching for Serologic Markers.

Objective: Eosinophilic esophagitis (EoE) is a Th2 disease that presently is diagnosed and followed by clinical symptoms in the presence of endoscopic biopsies documenting elevated esophageal eosinophilia. To simplify clinical care, multiple studies have attempted to identify a disease specific serologic marker. None have been successful.

Deleterious Rare Mutations of Dysregulate Sonic Hedgehog Signaling in Human Congenital Heart Disease.

The Glioma-associated oncogene (Gli) family members of zinc finger DNA-binding proteins are core effectors of Sonic hedgehog (SHH) signaling pathway. Studies in model organisms have identified that the genes play critical roles during organ development, including the heart, brain, kidneys, . Deleterious mutations in genes have previously been revealed in several human developmental disorders, but few in congenital heart disease (CHD).

Effect of Mineral Admixtures on the Performance of Ceramsite Shotcrete for High Geothermal Underground Engineering.

Ceramsite concrete is used in lining structures of underground engineering in the geothermal environment. This study, by means of mixing fly ash and silica fume, aims at diminishing the adverse effects on concrete performance caused by elevated temperature in high geothermal underground engineering. Under simulated geothermal conditions (20, 40, and 60 °C, RH ≥ 90%), it was first proposed that 15 and 5 wt % cement replacements by fly ash and silica fume, respectively, were most optimal.

Effect of Hulless Barley Flours on Dough Rheological Properties, Baking Quality, and Starch Digestibility of Wheat Bread.

Hulless barley ( L.), also known as highland barley, contains nutritional compounds, such as β-glucan and polyphenol, which can be added to wheat flour to improve the dough nutritional quality. In this study, different formulated dough samples were obtained by individually adding four hulless barley flours into flour of a wheat variety (Jimai 44, designated as JM) which has very strong gluten.

Interaction of B-type starch with gluten skeleton improves wheat dough mixing properties by stabilizing gluten micro-structure.

Some recent studies have revealed individual and the combined interactions of gluten and starch affecting dough mixing properties. However, the combined influence of high-molecular-weight glutenin subunits (HMW-GS) and starch on dough mixing and rheological properties requires elucidation. Thus four recombinant inbred lines, SS 1, SS 2, ZZ 1 and ZZ 2, were selected based on their HMW-GSs compositions.

Integrated Analysis of miRNA-mRNA Regulatory Networks Associated with Osteonecrosis of the Femoral Head.

Osteonecrosis of the femoral head (ONFH) accounts for as many as 18% of total hip arthroplasties. Knowledge of genetic changes and molecular abnormalities could help identify individuals considered to be at a higher risk of developing ONFH. In this study, we sought to identify differentially expressed miRNAs (DEmiRs) and genes (DEGs) associated with ONFH by integrated bioinformatics analyses as well as to construct the miRNA-mRNA regulatory network involving in the pathogenesis of ONFH.

Unsupervised Learning of Non-Hermitian Topological Phases.

Non-Hermitian topological phases bear a number of exotic properties, such as the non-Hermitian skin effect and the breakdown of conventional bulk-boundary correspondence. In this Letter, we introduce an unsupervised machine learning approach to classify non-Hermitian topological phases based on diffusion maps, which are widely used in manifold learning. We find that the non-Hermitian skin effect will pose a notable obstacle, rendering the straightforward extension of unsupervised learning approaches to topological phases for Hermitian systems ineffective in clustering non-Hermitian topological phases.