Proximal buddy in jail technique: A bail out technique to increase guide support

  Background: During percutaneous coronary intervention, “buddy-in-jail” technique is often used to facilitate stent delivery in complex coronary artery lesions. However, the safety and efficacy of this tech­nique when used with different jailed wire and applied in different target vessel lesions remain elusive. The aim of this retrospective study was to analyze the effectiveness of “buddy-in-jail” technique in the tortuous and rigid lesions of both the common and neighboring coronary arteries. The effectiveness between hydrophilic-coated and non-hydrophilic-coated guide wire as jailed wires was also compared. Methods: The “buddy-in-jail” technique was applied in 15 patients after failed balloon or stent delivery into the target vessel lesion from June 2014 to December 2016. The safety and effectiveness of the “bud­dy-in-jail” technique was compared in the tortuous and rigid lesions of both the common and neighbor­ing coronary arteries and between hydrophilic-coated and non-hydrophilic-coated “jailed” wires. Results: Stent delivery was successful in 13 (86.7%) patients with the use of “buddy-in-jail” technique. The success rate was similar to the group using the common artery (87.5%) as a “buddy” vessel and the group using a neighboring artery (85.7%) as a “buddy” vessel (p > 0.05), and between hydrophilic- -coated (100%) and non-hydrophilic-coated “jailed” wire (77.8%) group (p > 0.05). All wires were successfully extracted without complications. Conclusions: The “buddy-in-jail” technique offers a potential alternative approach for the distal stent delivery in both the common and neighboring coronary arteries. Also, both hydrophilic and non-hydro­philic-coated wire could be safely and effectively used as “jailed” wire.

In-Hospital Cardiac Arrest after Emotional Stress in a Patient Hospitalized with Gastrointestinal Symptoms and Chronic Anxiety Disorder

Background: We report an acute emotional stress–induced in-hospital cardiac arrest in a patient admitted with gastrointestinal symptoms after experiencing chronic anxiety disorder. Case Presentation: The patient was admitted to the Second Xiangya Hospital, Central South University, with gastrointestinal symptoms and chronic anxiety disorder, and experienced cardiac arrest during hospitalization after acute emotional stress. Malignant ventricular tachycardia and cardiogenic shock were evidenced in this patient after the acute emotional stress. Severe and extensive coronary spasm was confirmed by emergency coronary angiography, and coronary spasm was relieved by intracoronary injection of nitroglycerin. The patient recovered from myocardial infarction with nonobstructive coronary arteries. However, the patient developed acute kidney dysfunction and severe pulmonary infection and eventually died of respiratory circulatory failure on the ninth day after the successful rescue. Conclusions: Acute emotional stress on top of chronic anxiety disorder in patients hospitalized for noncardiovascular reasons might lead to the development of life-threatening cardiovascular diseases, including coronary artery spasm and myocardial infarction with nonobstructive coronary arteries. Psychological management is of importance to improve the outcome of these patients. </p

The communication of artificial intelligence and deep learning in computer tomography image recognition of epidemic pulmonary infectious diseases.

The objectives are to improve the diagnostic efficiency and accuracy of epidemic pulmonary infectious diseases and to study the application of artificial intelligence (AI) in pulmonary infectious disease diagnosis and public health management. The computer tomography (CT) images of 200 patients with pulmonary infectious disease are collected and input into the AI-assisted diagnosis software based on the deep learning (DL) model, "UAI, pulmonary infectious disease intelligent auxiliary analysis system", for lesion detection. By analyzing the principles of convolutional neural networks (CNN) in deep learning (DL), the study selects the AlexNet model for the recognition and classification of pulmonary infection CT images. The software automatically detects the pneumonia lesions, marks them in batches, and calculates the lesion volume. The result shows that the CT manifestations of the patients are mainly involved in multiple lobes and density, the most common shadow is the ground-glass opacity. The detection rate of the manual method is 95.30%, the misdetection rate is 0.20% and missed diagnosis rate is 4.50%; the detection rate of the DL-based AI-assisted lesion method is 99.76%, the misdetection rate is 0.08%, and the missed diagnosis rate is 0.08%. Therefore, the proposed model can effectively identify pulmonary infectious disease lesions and provide relevant data information to objectively diagnose pulmonary infectious disease and manage public health

The protective effects of aloperine against ox-LDL-induced endothelial dysfunction and inflammation in HUVECs

AbstractAtherosclerosis is a potentially life-threatening cardiovascular disease characterized by chronic endothelial inflammation and the formation of atherosclerotic lesions. Circulating ox-LDL is known to induce atherosclerosis by triggering oxidative stress, the expression of inflammatory mediators and adhesion molecules, as well as downregulating the atheroprotective transcriptional factor KLF2. Aloperine is an alkaloid compound isolated from the plant Sophora alopecuroides. Here, we employed various experimental methods to determine the effects of aloperine on ox-LDL-induced markers of atherosclerosis. DHE staining revealed that aloperine may restore the oxidant/antioxidant balance in HUVECs by reducing the level of ROS and rescuing the reduction in NOQ-1 and GCLC induced by ox-LDL. Aloperine treatment reduced ox-LDL-induced expression of IL-6, MCP-1, VCAM-1, and E-selectin and rescued the reduction in KLF2. Aloperine also downregulated ox-LDL-induced expression of the LOX-1. We also demonstrate that aloperine improved cell viability and inhibited the adhesion of U937 monocytes to HUVECs. Finally, we demonstrate that the effects of aloperine are mediated through the rescue of KLF2 expression via suppression of the phosphorylation of p53 protein. Together, our results implicate the potential of aloperine as a safe and effective antiatherosclerosis treatment

Estimation Method of Carbon Emissions in the Embodied Phase of Low Carbon Building

The carbon emission at the embodied phase is a complex combination, extending the life cycle of the building, defining the process of the embodied phase scientifically and finding out the direct and indirect carbon emission sources in the embodied phase. Building materials have the characteristics of “low carbon surface, hidden high carbon.” Emission factor calculation method is used to establish carbon emission model for building materials. Considering the effect of design optimization on the carbon emissions of the whole life cycle of the building, a low carbon level system is set up to optimize the target of low carbon design. In the construction phase, the carbon emission sources, emission boundary, and calculation model are determined according to the subdivisional engineering division method. Through a series of process decomposition, the total amount of carbon emissions at the embodied phase can be obtained, and the carbon emission quota list at the embodied phase can be compiled to provide technical support for the carbon trading mechanism of the building

Distribution of remaining oil based on a single sand body analysis: a case study of Xingbei Oilfield

Abstract The description of a single sand body for remaining oil predictions is critical to the enhancement of oil recovery of an old oilfield. Taking the fluvial facies of the Xingbei Oilfield as an example, a single sand body can be divided into four categories—“tabulated reservoir”, “untabulated reservoir”, “single channel sand body” and “abandoned channel”—using the reservoir architecture analysis method. The boundary surface of each type may be mud barriers or only an erosion surface, which was traced by careful anatomization of the single sand body. Then, a fine single sand body reservoir geological model was constructed using a combination of a determined modelling method and stochastic modelling method. The numerical simulation is executed using the constructed geological model to forecast the remaining oil distribution quantitatively. The results show that the remaining oil was distributed in the bottom parts of the abandoned channel, top part of the point bar, tabulated reservoir, and channel edges. The movements of the injection water were mainly controlled by the mud barrier and superimposed styles of single sand body, which determines the formation of the remaining oil. This research has important guidance for oilfield development in the late stage, whose reservoir is composed of single sand bodies

A cross–sectional survey of preschool children: Exploring heavy metal exposure, neurotransmitters, and neurobehavioural relationships and mediation effects

Background: Exposure to heavy metals has been considered harmful and can cause cognitive deficits in preschool children. Objective: To investigate the possible mediation effect of neurotransmitters on the relationship of heavy metal exposure with neurobehaviour. Methods: The levels of blood heavy metals and neurotransmitters, along with the neurobehavioural scores, were determined in preschool children. Multiple linear regression was used to assess the relationship between heavy metals, neurotransmitters, and neurobehavioural scores. Furthermore, the mediating role of neurotransmitters was investigated. Results: An interquartile range (IQR) increase in lead (6.10 μg/L) was associated with a decrease of 8.52%, 30.06%, and 20.10% for Glutamic acid (Glu), Glycine (Gly), and gamma-aminobutyric acid (GABA), respectively. An IQR increase in arsenic (19.37 μg/L) was associated with an increase of 6.32% and 2.09% for Gly and GABA, respectively. Further, an IQR increase in zinc (15.58 μg/L) was associated with an increase of 1.44% for Ser, whereas the IQR increase was associated with a decrease of 2.14%, 2.24%, and 1.89% for Glu, Gly, and GABA, respectively. An IQR increase in selenium (38.75 μg/L) was associated with an increase of 1.88% for GABA. Moreover, both Glu and Gly decreased by 2.87% for an IQR increase in manganese (16.92 μg/L). An IQR increase in mercury (15.22 μg/L) was associated with a decrease of 2.43% for Ser, but the IQR increase was associated with an increase of 4.99% and 3.09% for Gly and GABA, respectively. It was found that Glu and Serine (Ser) have a significant linear relationship with conduct score and impulsivity-hyperactivity index, and that there was a significant linear relationship between Ser and the learning disability index. GABA and conduct score and attention-deficit hyperactivity disorder (ADHD) index have a significant linear relationship. There is a significant linear relationship between Gly and conduct, anxiety, ADHD, and impulsivity-hyperactivity index. The results of the mediating effect analysis indicated that Ser, Glu, Gly, and GABA have a specific mediating effect between blood heavy metals and neurobehaviour. Conclusion: We showed the mediating effect of neurotransmitters. The current study may provide valuable information regarding the prevention and management of metal-related neurological disorders in preschool children

External partial discharge detection of gas-insulated switchgears using a low-noise and enhanced-sensitivity UHF sensor module

Ultrahigh frequency (UHF) partial discharge (PD) detection is essential for routine maintenance of gas-insulated switchgear (GIS). Realizing low-noise detection with cost-effectiveness and ease of installation is promising but challenging. This article presents a novel broadband noise-shaping network (BNSN) integrated with a printed monopole antenna (PMA) sensor to realize sufficient noise rejection and good impedance matching. Moreover, by analyzing the equivalent noise circuit and co-designing a high-speed preamplifier circuit with the proposed sensor, the detection sensitivity and anti-interference of the proposed sensor module are improved. The effectiveness and superiority of the proposed sensor are first verified in accordance with IEC 62478, followed by validations using a PD simulator and a real 24-kV GIS. The experimental results demonstrate that the proposed sensor module has the capability to identify different PD types even in noisy environments.Energy Market Authority (EMA)Nanyang Technological UniversityNational Research Foundation (NRF)This work was supported in part by the SP Group; in part by the National Research Foundation, Singapore; in part by the Energy Market Authority, under its Energy Program (EP) under Award EMA-EP010-SNJL-004; in part by the Nanyang Technological University; and in part by the National Natural Science Foundation of China under Grant 62101104

PHR1, a PH Domain-Containing Protein Expressed in Primary Sensory Neurons

Previously, we identified PHR1 as an abundantly expressed gene in photoreceptors and showed that it encodes four isoforms, each with N-terminal pleckstrin homology (PH) and C-terminal transmembrane domains. To better understand PHR1 function and expression, we made a Phr1 null mouse by inserting a β-galactosidase/neo(r) cassette into exon 3. In addition to photoreceptors, we found abundant expression of specific Phr1 splice forms in olfactory receptor neurons and vestibular and cochlear hair cells. We also found Phr1 expression in cells with a possible sensory function, including peripheral retinal ganglion cells, cochlear interdental cells, and neurons of the circumventricular organ. Despite this discrete expression in known and putative sensory neurons, mice lacking PHR1 do not have overt sensory deficits