An efficient model for capturing gas transients in the energy flow of integrated electricity–gas systems

Gas-fired units provide great flexibility to accommodate the intermittent nature of renewable energy sources and are also considered to be an ideal substitute for retiring coal-fired generations. However, the increasing deployment of gas-fired units deepens interdependency between electric power and natural gas, calling for efficient modeling of the heterogeneous energy flow in the integrated electricity–gas systems (IEGS). Plenty of research works show the necessity of considering gas flow transients in the IEGS, which can be described by a set of partial differential equations (PDEs). To ensure a tractable optimization, the PDEs are often discretized using the finite/infinite difference method, which may result in a large computational scale for achieving good precision. To this end, this paper proposes an efficient model for capturing gas flow transients in the IEGS, which can be taken as the operational constraints in the optimal energy flow model for IEGS coordinated planning, scheduling, and control. For improving the computational efficiency, the PDE-based transient gas flow model is discretized using a space–time orthogonal collocation (OC) method, which provides high-quality results using fewer spatial–temporal discrete points than differential methods. Further, aiming at the difficulty in the determination of the number of space–time collocation points, an adaptive strategy is proposed and embedded in the proposed model utilizing the local fitting errors of state variables related to pipelines. Case studies show the superiority in computational accuracy and efficiency of the proposed model over the existing models based on Wendorff difference and global OC. And an illustrative case based on the modified IEGS benchmark system composed of the IEEE 118-bus power system and the Belgian 20-node gas network exhibits the application value of the proposed model in the optimization and control of the IEGS

An efficient access to the synthesis of novel 12-phenylbenzo[6,7]oxepino[3,4-b]quinolin-13(6H)-one derivatives

An efficient access to the tetracyclic-fused quinoline systems, 12-phenylbenzo[6,7]oxepino[3,4-b]quinolin-13(6H)-one derivatives 4a–l, is described, involving the intramolecular Friedel–Crafts acylation reaction of 2-(phenoxymethyl)-4-phenylquinoline-3-carboxylic acid derivatives 3a–l aided by the treatment with PPA (polyphosphoric acid) or Eaton’s reagent. The required starting compound (2) was obtained by Friedländer reaction of 2-aminobenzophenone (1) with 4-chloroethylacetoacetate by using CAN (cerium ammonium nitrate, 10 mol %) as catalyst at room temperature. The substrates 3a–l were prepared through one-pot reaction of ethyl 2-(chloromethyl)-4-phenylquinoline-3-carboxylate (2) and substituted phenols. Our developed strategy, involving a three-step route, offers easy access to tetracyclic-fused quinoline systems in short reaction times, and the products are obtained in moderate to good yields

Transient voltage stability emergency control strategy for HVDC receiving end power grid based on global orthogonal collocation

When asynchronous motors, especially double-fed asynchronous motors in large capacity pump storage are the main loads in the high voltage direct current (HVDC) receiving end power grid, the increase of the equivalent slip of asynchronous motor load may cause transient voltage instability. In order to recover the voltage rapidly in the grid, the emergency reactive power support needs to be quick and accurate. A method for transient voltage stability emergency control by temporarily reducing DC current is proposed, the inverter station is used as emergency reactive power source for the HVDC receiving end power grid. In detail, firstly, aiming at the quantitative calculation of DC current, a nonlinear optimization model with the optimization variable of DC current and the objective of minimizing energy transmission reduction of HVDC is established. Further, in order to achieve fast solution and meet the accuracy requirements, global orthogonal collocation (GOC) is incorporated into the optimization model to transform the differential equations of both objective function and constraints into algebraic equations, thus the optimization is transformed into a nonlinear programming (NLP) problem, by which the emergency control strategy, in specific, the optimal DC current control scheme is obtained. Finally, the modified IEEE 14 benchmark is used to verify the effectiveness and superiority of the proposed strategy

Exciton Proliferation and Fate of the Topological Mott Insulator in a Twisted Bilayer Graphene Lattice Model

Topological Mott insulator (TMI) with spontaneous time-reversal symmetry breaking and nonzero Chern number has been discovered in a real-space effective model for twisted bilayer graphene (TBG) at 3/4 filling in the strong coupling limit. However, the finite temperature properties of such a TMI state remain illusive. In this work, employing the state-of-the-art thermal tensor network and the perturbative field-theoretical approaches, we obtain the finite-$T$ phase diagram and the dynamical properties of the TBG model. The phase diagram includes the quantum anomalous Hall and charge density wave phases at low $T$, and a Ising transition separating them from the high-$T$ symmetric phases. Due to the proliferation of excitons -- particle-hole bound states -- the transitions take place at a significantly reduced temperature than the mean-field estimation. The exciton phase is accompanied with distinctive experimental signatures in such as charge compressibilities and optical conductivities close to the transition. Our work explains the smearing of the many-electron state topology by proliferating excitons and opens the avenue for controlled many-body investigations on finite-temperature states in the TBG and other quantum moir\'e systems.Comment: 5+15 pages, 4+12 figure

DeepNoise: Signal and Noise Disentanglement Based on Classifying Fluorescent Microscopy Images via Deep Learning

The high-content image-based assay is commonly leveraged for identifying the phenotypic impact of genetic perturbations in biology field. However, a persistent issue remains unsolved during experiments: the interferential technical noises caused by systematic errors (e.g., temperature, reagent concentration, and well location) are always mixed up with the real biological signals, leading to misinterpretation of any conclusion drawn. Here, we reported a mean teacher-based deep learning model (DeepNoise) that can disentangle biological signals from the experimental noises. Specifically, we aimed to classify the phenotypic impact of 1108 different genetic perturbations screened from 125,510 fluorescent microscopy images, which were totally unrecognizable by the human eye. We validated our model by participating in the Recursion Cellular Image Classification Challenge, and DeepNoise achieved an extremely high classification score (accuracy: 99.596%), ranking the 2nd place among 866 participating groups. This promising result indicates the successful separation of biological and technical factors, which might help decrease the cost of treatment development and expedite the drug discovery process. The source code of DeepNoise is available at https://github.com/Scu-sen/Recursion-Cellular-Image-Classification-Challenge

Degradable Magnesium and Its Surface Modification as Tumor Embolic Agent for Transcatheter Arterial Chemoembolization

Transcatheter arterial chemoembolization (TACE) is an effective method for traditional cancer treatment. Currently, various embolic agents block the blood vessels in the TACE operation. In this paper, the feasibility of the degradable Mg applied for TACE was explored innovatively. The degradation behavior of Mg particles and PLLA modified Mg particles used as embolic agents in contrast media was studied. The morphology and corrosion products were also characterized. After two days of immersion, the pH of the contrast agent was increased to 9.79 and 10.28 by the PLLA-modified Mg particles and unmodified Mg, respectively. The results show that the surface-modified Mg particles with PLLA have an eligible degradation rate to release degradation products and form an acceptable microenvironment. It is feasible to be used as an embolic agent in TACE

Sequentially Deposited Active Layer with Bulk-Heterojunction-like Morphology for Efficient Conventional and Inverted All-Polymer Solar Cells

A sequentially deposited (SD) active layer with bulk-heterojunction (BHJ) like morphology is developed by utilizing a naphthalenediimide-based polymer acceptor PTzNDI-T with a strong interchain interaction and low solubility and a well-soluble polymer donor J52-Cl. The SD active layer is prepared by first depositing PTzNDI-T solution and then depositing J52-Cl solution without any post-treatments, and a traditional blend-cast (BC) active layer is cast from the blend solution of J52-Cl:PTzNDI-T. Both the conventional and inverted all-polymer solar cells (all-PSCs) with the BC active layer present nearly no photovoltaic performance. In contrast, based on the SD active layer, not only do the inverted all-PSCs show a dramatically increased PCE of 6.08% but the conventional all-PSCs with the same deposition sequence also exhibit a similarly high PCE of 6.29%. Notably, the SD active layer shows BHJ-like morphology with well-distributed donor and acceptor phases and thus offers a similarly high photovoltaic performance in conventional and inverted all-PSCs with the same deposition sequence of polymer acceptor and donor, which is the first report of SD all-PSCs. These results provide different insight to the SD active layer for high-performance all-PSCs

A-DA′D-A-Type Pentacyclic Fused-Ring Electron Acceptors for Efficient Organic Solar Cells

Although superior power conversion efficiencies (PCEs) (&gt;19%) have been achieved by organic solar cells (OSCs), high materials cost severely prevents this photovoltaic technology from laboratory to industrial maturity. Particularly, the prevailing A-DA′D-A-type heptacyclic fused-ring electron acceptors (FREAs) suffered from arduous synthesis and extremely low overall synthetic yield. Herein, we report three A-DA′D-A-type pentacyclic FREAs (BTPT4F-EH, BTPT4F-BO, and BTPT4F-HD) with varied side chain length for application in OSCs. Compared with the prevailing heptacyclic FREAs, the pentacyclic FREAs exhibited much lower synthetic complexity. Single-crystal analysis unraveled that stair-like two-dimensional molecular stacking mode was formed in the crystal of BTPT4F-BO due to the existence of strong π-π interactions and hydrogen bonds, which could guarantee efficient charge transport in A-DA′D-A-type pentacyclic FREAs. As a result, a remarkable PCE of 15.0% has been offered by the OSC based on BTPT4F-BO. The high PCE and low synthetic complexity further contributed to an unprecedented figure of merit (FOM = 0.36) for BTPT4F-BO. This work suggests, with respect to heptacyclic FREAs, A-DA′D-A-type pentacyclic FREAs are more competitive candidates for the future industrial manufacturing of OSCs.</p

Dexrazoxane Protects Cardiomyocyte from Doxorubicin-Induced Apoptosis by Modulating miR-17-5p

The usage of doxorubicin is hampered by its life-threatening cardiotoxicity in clinical practice. Dexrazoxane is the only cardioprotective medicine approved by the FDA for preventing doxorubicin-induced cardiac toxicity. Nevertheless, the mechanism of dexrazoxane is incompletely understood. The aim of our study is to investigate the possible molecular mechanism of dexrazoxane against doxorubicin-induced cardiotoxicity. We established a doxorubicin-induced mouse and cardiomyocyte injury model. Male C57BL/6J mice were randomly distributed into a control group (Con), a doxorubicin treatment group (DOX), a doxorubicin plus dexrazoxane treatment group (DOX+DEX), and a dexrazoxane treatment group (DEX). Echocardiography and histology analyses were performed to evaluate heart function and structure. DNA laddering, qRT-PCR, and Western blot were performed on DOX-treated cardiomyocytes with/without DEX treatment in vitro. Cardiomyocytes were then transfected with miR-17-5p mimics or inhibitors in order to analyze its downstream target. Our results demonstrated that dexrazoxane has a potent effect on preventing cardiac injury induced by doxorubicin in vivo and in vitro by reducing cardiomyocyte apoptosis. MicroRNA plays an important role in cardiovascular diseases. Our data revealed that dexrazoxane could upregulate the expression of miR-17-5p, which plays a cytoprotective role in response to hypoxia by regulating cell apoptosis. Furthermore, the miRNA and protein analysis revealed that miR-17-5p significantly attenuated phosphatase and tensin homolog (PTEN) expression in cardiomyocytes exposed to doxorubicin. Taken together, dexrazoxane might exert a cardioprotective effect against doxorubicin-induced cardiomyocyte apoptosis by regulating the expression of miR-17-5p/PTEN cascade