bluuebunny/crossref_metadata_2025 huggingface dataset:
Photolysis of the herbicide dicamba in aqueous solutions and on corn (Zea mays) epicuticular waxes
Authors: Gruber Kaitlyn , Courteau Brittany , Bokhoree Maheemah , McMahon Elijah , Kotz Jenna , Nienow Amanda
Published: May 2021

The photodegradation rate of dicamba in aqueous solutions and on corn epicuticular waxes changes in the absence of oxygen, and in the presence of adjuvants and natural organic matter.
Low dietary choline intake is associated with the risk of osteoporosis in elderly individuals: a population-based study
Authors: Zhang Yuan-Wei , Lu Pan-Pan , Li Ying-Juan , Dai Guang-Chun , Cao Mu-Min , Xie Tian , Zhang Cheng , Shi Liu , Rui Yun-Feng
Published: May 2021

Study of the association between daily dietary choline intake and osteoporosis in elderly individuals from NHANES 2005–2010, to provide a basis for identifying latent hazards and taking dietary interventions as soon as possible.
The effect of lipid metabolism regulator anthocyanins from Aronia melanocarpa on 3T3-L1 preadipocytes and C57BL/6 mice via activating AMPK signaling and gut microbiota
Authors: Chen Chunping , Yang Ximing , Liu Siqi , Zhang Mingyan , Wang Chao , Xia Xinxiu , Lou Yuhang , Xu Hongyan
Published: May 2021

The effect of lipid metabolism regulator AAM on 3T3-L1 preadipocytes and mice via activating AMPK signaling and gut microbiota.
Cerium substitution in LaCoO3 perovskite oxide as bifunctional electrocatalysts for hydrogen and oxygen evolution reactions
Authors: Ji Dingwei , Liu Changhai , Yao Yanhua , Luo Linlin , Wang Wenchang , Chen Zhidong
Published: May 2021

We proposed a facile fabrication of Ce-doped LaCoO3 perovskite oxide for highly efficient application in both HER and OER.
Synthesis and properties of helically-folded poly(arylenediethynylene)s
Authors: Toya Michihisa , Ito Hideto , Itami Kenichiro
Published: May 2021

Three arylenediethnylene-based helical foldamers having pyridine, naphthaleneimide and pyrene cores show unique conformational changes and photophysical properties in various organic solvents.
Pillar[5]arene-based ion-pair recognition for constructing a [2]pseudorotaxane with supramolecular interaction induced LCST behavior
Authors: Li Ming , Hua Bin , Huang Feihe
Published: May 2021

Here, we report a novel [2]pseudorotaxane based on perbromoethylated pillar[5]arene/imidazolium iodide ionic liquid ion-pair recognition and this pseudorotaxane shows supramolecular interaction induced LCST behavior in solution.
Photoluminescence nonlinearity and picosecond transient absorption in an LYSO:Ce scintillator excited by a 266 nm ultraviolet laser
Authors: Wei Kun , Hei Dongwei , Xu Qing , Liu Jun , Guo Quan , Weng Xiufeng , Tan Xinjian , Sheng Liang
Published: May 2021

PL nonlinearity of LYSO:Ce studied by a UV laser at high excitation density, and the pump–probe absorption experiment used to look into the possible reasons for the nonlinearity effects occurring at high fluxes.
Single point mutations can potentially enhance infectivity of SARS-CoV-2 revealed by in silico affinity maturation and SPR assay
Authors: Xue Ting , Wu Weikun , Guo Ning , Wu Chengyong , Huang Jian , Lai Lipeng , Liu Hong , Li Yalun , Wang Tianyuan , Wang Yuxi
Published: May 2021

The RBD (receptor binding domain) of the SARS-CoV-2 virus S (spike) protein mediates viral cell attachment and serves as a promising target for therapeutics development.
Modelling drug adsorption in metal–organic frameworks: the role of solvent
Authors: Sose Abhishek T. , Cornell Hannah D. , Gibbons Bradley J. , Burris Ashley A. , Morris Amanda J. , Deshmukh Sanket A.
Published: May 2021

Solvent plays a key role in drug loading in metal–organic frameworks.
Sensitivity of PS/CoPd Janus particles to an external magnetic field
Authors: Eichler-Volf Anna , Alsaadawi Yara , Luna Fernando Vazquez , Khan Qaiser Ali , Stierle Simon , Xu Chi , Heigl Michael , Fekri Zahra , Zhou Shengqiang , Zahn Peter , Albrecht Manfred , Steinhart Martin , Erbe Artur
Published: May 2021

PS/CoPd Janus particles respond very sensitively to application of low external magnetic fields. Owing to the magnetic properties, the PS/CoPd particles may be used, for example, to sense the presence of weak magnetic fields as micro-magnetometers.
A dynamic evolution model of coal permeability during enhanced coalbed methane recovery by N2 injection: experimental observations and numerical simulation
Authors: Li Bo , Zhang Junxiang , Ding Zhiben , Wang Bo , Li Peng
Published: May 2021

A dynamic evolution model of coal permeability during CH4 displacement by N2 injection was proposed, considering the combined effects of matrix swelling/shrinkage and effective stress, for providing a reference on N2-ECBM.
Polymer films doped with fluorescent sensor for moisture and water droplet based on photo-induced electron transfer
Authors: Fumoto Takuma , Miho Saori , Mise Yuta , Imato Keiichi , Ooyama Yousuke
Published: May 2021

Polymer films doped with a photo-induced electron transfer (PET)-type fluorescent sensor exhibit green excimer emission in the PET active state, but blue monomer emission in the PET inactive state upon exposure to moisture.
Transfer learning of memory kernels for transferable coarse-graining of polymer dynamics
Authors: Ma Zhan , Wang Shu , Kim Minhee , Liu Kaibo , Chen Chun-Long , Pan Wenxiao
Published: May 2021

The present work concerns the transferability of coarse-grained (CG) modeling in reproducing the dynamic properties of the reference atomistic systems across a range of parameters.
Block-copolymer-like self-assembly behavior of mobile-ligand grafted ultra-small nanoparticles
Authors: Xu Feng-Rui , Shi Rui , Jia Xiang-Meng , Chai Sheng-Chao , Li Hao-Long , Qian Hu-Jun , Lu Zhong-Yuan
Published: May 2021

We use coarse-grained molecular dynamics simulations to study the self-assembly behavior of polyoxometalate (POM) nanoparticles (NPs) decorated with mobile polymer ligands under melt conditions.
Which of the nickel-rich NCM and NCA is structurally superior as a cathode material for lithium-ion batteries?
Authors: Wang Bo , Zhang Fei-long , Zhou Xin-an , Wang Peng , Wang Jie , Ding Hao , Dong Hong , Liang Wen-biao , Zhang Ning-shuang , Li Shi-you
Published: May 2021

As two typical layered nickel-rich ternary cathode materials, NCA and NCM are expected to be commercialized in lithium-ion batteries. However, NCA is more stable than NCM, because the structural stability of Al doped in the nickel-rich layered oxide is stronger than Mn.
Bimetallic oxyhydroxidein situderived from an Fe2Co-MOF for efficient electrocatalytic oxygen evolution
Authors: Ling Xintong , Du Feng , Zhang Yintong , Shen Yan , Gao Wa , Zhou Bo , Wang Zhiyuan , Li Guoling , Li Tao , Shen Qing , Xiong Yujie , Wang Xiaoyong , Zhou Yong , Zou Zhigang
Published: May 2021

Schematic illustration of the synthesis of Fe2Co MOF/NF prepared through a one-pot method growth process and it has excellent OER performance. Color codes: Co (green), Fe (blue), O (red), and C (gray).
Ru single atoms and nanoclusters on highly porous N-doped carbon as a hydrogen evolution catalyst in alkaline solutions with ultrahigh mass activity and turnover frequency
Authors: Li Yijun , Liu Huijing , Li Bing , Yang Zhenzhen , Guo Zhenguo , He Jian-Bo , Xie Jianhui , Lau Tai-Chu
Published: May 2021

Ruthenium single atoms and ruthenium nanoclusters dispersed in hierarchically porous N-doped carbon significantly increase the Ru atom efficiency towards excellent electrocatalytic HER activity in alkaline media.
Bioadhesive metal–phenolic nanoparticles for enhanced NIR imaging-guided locoregional photothermal/antiangiogenic therapy
Authors: Wang Xiuxia , Li Hongyu , Meng Fanling , Luo Liang
Published: May 2021

An adhesive nanoparticle-based drug delivery system incorporating tannic acid and Fe ions has been developed, which enables efficient NIR imaging-guided locoregional combined photothermal and antiangiogenic cancer therapy.
Triazatruxene based star-shaped thermally activated delayed fluorescence emitters: modulating the performance of solution-processed non-doped OLEDs via side-group engineering
Authors: Pathak Suraj Kumar , Liu He , Zhou Changjiang , Xie Guohua , Yang Chuluo
Published: May 2021

Construction of Triazatruxene-based star-shaped TADF emitters with aggregation induced emission: demonstrating the effectiveness of the flexible alkyl tail design strategy.
CN-substituted ortho-terphenyl core based high triplet energy bipolar host materials for stable and efficient blue TADF devices
Authors: Lee Hyuna , Park Jun Hyuk , Yang Ki Joon , Hwang Soon Jae , Braveenth Ramanaskanda , Ha Tae Hoon , Han Min I , Lee Chil Won , Kwon Jang Hyuk
Published: May 2021

Two novel, CN-substituted ortho-terphenyl (OTP) core based bipolar type host materials were designed and synthesized for application in blue thermally activated delayed fluorescence (TADF) devices.
Highly efficient and stable blue organic light-emitting diodes through the selective quenching of long-living triplet exciton of a thermally activated delayed fluorescence emitter
Authors: Chung Won Jae , Lee Jun Yeob
Published: May 2021

High efficiency and long lifetime were achieved in the thermally activated delayed fluorescent organic light-emitting diodes by selective quenching of long-living triplet excitons.
Cryogenic magnetocaloric effect in distorted double-perovskite Gd2ZnTiO6
Authors: Yang Ziyu , Ge Jun-Yi , Ruan Shuangchen , Cui Hongzhi , Zeng Yu-Jia
Published: May 2021

A distorted double-perovskite, Gd2ZnTiO6, was proposed as a potential cryogenic refrigerant for magnetic liquefaction of He.
The other sexual revolution: hormonal control of family planning in plants
Authors: Bennett Tom
Published: May 2021

The development of hormonal contraceptives stands out as a key contribution of biochemistry to the 20th century, part of the wider ‘sexual revolution’ that dramatically changed society in many Western countries. But unbeknown to them, the pioneers of the contraceptive pill had been beaten to the idea by a few hundred million years, by a rather unlikely group of organisms that have been using hormones as contraceptives since their own sexual revolutions back in the swinging Palaeozoic. Since their successful conquest of land in the Ordovician, land plants had been restricted in the genetic mixing and expansion of populations by their relative immobility. A series of key innovations in the seed plant group, and in particular in flowering plants, enabled plants to mate and to disperse their offspring over much longer distances, by harnessing the wind or animals to provide mobility. However, all this ‘outsourcing’ created new challenges; coordinating and optimizing reproductive effort is not straightforward when it depends on a third party. Here, I discuss some of the key signalling molecules – sex hormones, as it were – that plants use to plan their families and manage their fertility, and why this matters to us, now more than ever.
From flowers to seeds: how the metabolism of flowers frames plant reproduction
Authors: Borghi Monica , Fernie Alisdair R.
Published: May 2021

Flowers are characterized by a plenitude of primary and secondary metabolites and flower-specific biosynthetic pathways that all concur to promote plant reproduction and the initial stages of embryo development. The floral secondary metabolites of flowers contribute to scent and colour, which are used by flowers to attract pollinators. Besides, many metabolites responsible for the conferral of colour also serve as photo-protectants towards the damaging effects of UV solar radiation. The whole metabolism of flowers is sustained by a network of primary metabolites that provide metabolic precursors for the biosynthesis of secondary metabolites and support flower development. Moreover, many primary metabolites are channelled into nectar, the food of pollinators. However, this complex metabolic network is susceptible to environmental constraints such as heat and drought, which can hamper plant reproduction by destabilizing the whole metabolism of flowers. Here, we provide a short overview of the different metabolic pathways of flowers and how they support pollination and fertilization.
Advancements in macromolecular crystallography: from past to present
Authors: Rathore Ishan , Mishra Vandana , Bhaumik Prasenjit
Published: May 2021

Protein Crystallography or Macromolecular Crystallography (MX) started as a new discipline of science with the pioneering work on the determination of the protein crystal structures by John Kendrew in 1958 and Max Perutz in 1960. The incredible achievements in MX are attributed to the development of advanced tools, methodologies, and automation in every aspect of the structure determination process, which have reduced the time required for solving protein structures from years to a few days, as evident from the tens of thousands of crystal structures of macromolecules available in PDB. The advent of brilliant synchrotron sources, fast detectors, and novel sample delivery methods has shifted the paradigm from static structures to understanding the dynamic picture of macromolecules; further propelled by X-ray Free Electron Lasers (XFELs) that explore the femtosecond regime. The revival of the Laue diffraction has also enabled the understanding of macromolecules through time-resolved crystallography. In this review, we present some of the astonishing method-related and technological advancements that have contributed to the progress of MX. Even with the rapid evolution of several methods for structure determination, the developments in MX will keep this technique relevant and it will continue to play a pivotal role in gaining unprecedented atomic-level details as well as revealing the dynamics of biological macromolecules. With many exciting developments awaiting in the upcoming years, MX has the potential to contribute significantly to the growth of modern biology by unraveling the mechanisms of complex biological processes as well as impacting the area of drug designing.
Impact of dust diffusion on the rim shape of protoplanetary disks
Authors: Schobert B. N. , Peeters A. G.
Published: May 2021

Context. Multiple mechanisms are known to give rise to turbulence in protoplanetary disks, which facilitates the accretion onto the central star. Small dust particles that are well coupled to the gas undergo diffusion due to this turbulent motion.

Aims. This paper investigates the influence of turbulence-induced dust diffusion on the equilibrium of protoplanetary disks.

Methods. The model accounts for dust sublimation, radiative transfer with the flux-limited diffusion approximation, and dust diffusion. It predicts the density and temperature profiles as well as the dust-to-gas ratio of the disk.

Results. It is shown that dust diffusion can have a large impact: Assuming the dust survives for 104 s or longer before it can be evaporated, this leads the dust diffusion to widen the inner disk considerably. This effect is generated through a feedback mechanism as the diffusion length is much shorter than the disk width. With increasing dust diffusion, the inclination of the inner rim toward the stellar radiation becomes steeper until it is almost vertical. The temperature range of evaporation and condensation, which is linked to the dust composition, has no influence on this effect.

Conclusions. For realistic parameters, dust diffusion cannot be neglected when determining the equilibrium of the disk. Stronger turbulence inside the disk induces more dust diffusion. Therefore, the dust density grows more gradually over a greater distance and less radiation reaches the disk surface. The new equilibrium shape of the disk is more inclined toward the star. This effect is universal and independent of the specific dust composition.
Encoding large-scale cosmological structure with generative adversarial networks
Authors: Ullmo Marion , Decelle Aurélien , Aghanim Nabila
Published: May 2021

Recently, a type of neural networks called generative adversarial networks (GANs) has been proposed as a solution for the fast generation of simulation-like datasets in an attempt to avoid intensive computations and running cosmological simulations that are expensive in terms of time and computing power. We built and trained a GAN to determine the strengths and limitations of such an approach in more detail. We then show how we made use of the trained GAN to construct an autoencoder (AE) that can conserve the statistical properties of the data. The GAN and AE were trained on images and cubes issued from two types of N-body simulations, namely 2D and 3D simulations. We find that the GAN successfully generates new images and cubes that are statistically consistent with the data on which it was trained. We then show that the AE can efficiently extract information from simulation data and satisfactorily infers the latent encoding of the GAN to generate data with similar large-scale structures.
Quadratic Constrained Quadratic Estimation for Distribution Network with Limited Measurements
Authors: Long Cheng , Zhang Hua , Dong Lilan , Zhang Yadi , Guo Ruipeng
Published: May 2021

Practical and efficient state estimation is essential for the safe and stable operation of future smart grid. In rectangular coordinates, distribution system state estimation (DSSE) problem can be described as a sparse quadratic constraint quadratic estimation (QCQE) model, which enhances efficiency of the program implementation for DSSE. However, the scarcity of measurements in distribution network brings a formidable challenge to provide reasonably meaningful estimation of the distribution system state. This paper is concerned about application of QCQE in under-determined distribution network. Observability analysis technique is proposed by considering the characteristics of actual distribution network. The observable islands are recognized accordingly, and then unobservable areas can be accurately defined. Pseudo-measurements are adopted to meet the observability requirement. Simulation on IEEE 33-bus shows effectiveness of the proposed method.
Wireless Infrared Temperature Measuring System Design for Cable in Comprehensive Pipe Corridor
Authors: Wang Shuo , Xuan Yingying , Wu Peng , Zhang Shuai , Yuan Bo , Hu Yuan
Published: May 2021

The comprehensive pipe corridor could realize the unified planning and construction of electricity, gas and communication, save urban land resources and beautify urban landscape. However, due to the narrow space and numerous pipelines in the pipe corridor, once the power cable fired, it would cause serious losses. This paper presented a wireless infrared temperature measuring system for power cable in the comprehensive pipe corridor based on infrared temperature measuring and radio frequency communication technology. This system used STM32 as the development platform, used AM2301 infrared temperature sensor to collect cable temperature, transmitted data of each temperature measuring node to the data management center through ESP8266 wireless module, and finally transferred the data of the management center to the server through RS485 bus, realizing the functions of multi-node temperature collection and wireless data transmission. It was verified by experiments that the measurement error of the temperature monitoring system was within 0.5°C, which could monitor the node temperature in real time, and provide guarantee for the safe operation and fire prevention of power cables in the comprehensive pipe corridor.
Fault Prediction using a Grey-Markov Model from the Dissolved Gases Contents in Transformer Oils
Authors: Liu Yang , Du Yu , Wang Zhiwu , Feng Guangming , Rao Shaowei , Zou Guoping , Yang Shiyou
Published: May 2021

A novel method to predict transformer fault by forecasting the variation trend of the dissolved gases content is proposed. After the content of each feature gas, such as hydrogen and methane, is obtained by the proposed forecasting model, the fault type can be diagnosed by the dissolved gas analysis (DGA) technologies. Firstly, the GM (1,1) grey model with unequal time interval is introduced to generate a general forecasting model for each feature gas. The introduced grey model with unequal time interval will enforce no constrain on the historical measurement data. Consequently, the time intervals of the two adjacent measuring points can be either constant or variant. To address the deficiency that the existing grey model is unable to describe the fluctuation of the predicted object in time domain, the Markov chain is introduced to improve the accuracy of the grey forecasting model. An adaptive method to automatically divide the state space based on the number of states and the relative error of the grey model is presented by using Fibonacci sequences. Practical measurements are used to verify the accuracy of the proposed forecasting model. The numerical results show that there is high probability (86%) that the proposed grey-Markov model acquires a smaller prediction residual as compared to the original GM(1,1) grey model.
Research on optimal allocation strategy of multi-energy storage in regional integrated energy system considering the quantification of low-carbon economic benefits
Authors: Wu Kecheng , Chen Quan , Huan Jiajia , Huang Xin , Zhao Mintong , Wang Yijun
Published: May 2021

The dual pressure of energy crisis and environmental pollution has prompted the world’s energy sector to change in the direction of clean, efficient, sustainable and pollution-free, and RIES (Regional Integrated Energy System) has emerged. The deployment of energy storage devices in the RIES can deepen the connection of each energy system, release the spatial and temporal constraints of multiple energy sources, and thus improve the energy utilization and economy of the integrated energy system. Based on the infrastructure and model of the RIES, this paper studied the synergistic optimal configuration of electricity storage, power-to-gas (P2G) technology, cooling storage and heating storage in the case of multi-energy complementation operation of combined cooling, heating and power supply (CCHP) unit and other equipment. Firstly, an optimal configuration model of multiple energy storage in the RIES based on the optimal operational economy was proposed. Then, the economics and feasibility of configuring different energy storage combinations in the system were analyzed. Finally, the benefits of energy storage devices in the regional integrated energy system were quantified and analyzed by the economic indicators and low carbon emissions reduction indicators. By employing an industrial district RIES in northern China as the study case, the operation scheduling scheme and energy storage allocation scheme were solved by the optimization model proposed in this paper. The results show that the RIES containing multiple types of energy storage can consume more distributed new energy, improve economic efficiency and reduce carbon emissions. And this model has a good application prospect.
Research on the impact of R&D investment on the international competitiveness of communication and electronic equipment industry in Hubei Province
Authors: Wang Yiwei , Yu Zipeng
Published: May 2021

R&D investment has always been one of the most active factors in the economic development of China’s manufacturing industry. Therefore, this paper analyzes the communication and electronic equipment industry in Hubei Province from all aspects of R&D investment, explores the competitive advantages in the development process of the industry, and looks for the future development direction of the industry in Hubei Province, so as to better complete the transformation and upgrading of the industry. Based on the current international competitiveness evaluation index system, the research on the development status of the communication and electronic equipment industry can be analyzed from the perspective of industrial international competitiveness. The industrial R&D investment is divided into three parts: personnel, capital and efficiency. R&D personnel investment and R&D capital investment have a positive impact on the international competitiveness of the industry, and R&D input-output efficiency has a positive impact on the international competitiveness of the industry There is a slight negative effect. It is pointed out that the future development direction of Hubei electronic technology industry in R&D investment should focus on personnel investment and capital investment.
Optimization of NOx emission control based on high sulfur coal combustion
Authors: Guo Shuai , Zhao Mingliang , Li Tingting , Song Zhiyu , han Jiting
Published: May 2021

Combined with the operation of an 800MW supercritical boiler burning high sulfur coal, in order to control the emission of nitrogen oxides, the optimization adjustment of ammonia injection and NOx emission reduction based on combustion adjustment is proposed. According to the test of the inlet and outlet of denitration system under 800 MW condition, the parameters of NOx, O2, NH3, wind speed and so on at the inlet and outlet of denitration system are tested, and the ammonia injection manual valve is adjusted according to the test results. After adjustment, the NOx distribution at the outlet of denitration system is uniform, and the ammonia injection quantity is reduced. After adjustment, the flow field under 800 MW and 500 MW conditions is tested, and the flow field distribution under the two conditions is uniform. The adjustment test has achieved the expected effect.
A Novel Two-step Distance Protection for Flexible HVDC Transmission Lines
Authors: Fang Zeya , Wen Minghao , Zheng Junchao , Wen Minghao
Published: May 2021

DC line fault is one of the key problems that must be solved in a flexible HVDC system. During quite a long time between the existing main protection and backup protection of the HVDC line, there is no line protection method to detect the fault, which may lead the protection at the AC side to act before the backup protection of the DC line. To solve the problem, a novel two-step distance protection for flexible HVDC lines is proposed in this manuscript. Firstly, based on the uniform distributed parameter model, the equivalent lumped parameter model of the HVDC transmission line at low frequency is analyzed. Secondly, according to the time domain differential equation and the least squares algorithm, novel distance protection based on the iterative calculation of fault distance is proposed, which can eliminate the influence of distributed capacitive current and improve the precision of calculation. To improve the rapidity and reliability of the distance protection, low pass filters with two different cut-off frequencies are used to process the electrical quantities. Finally, simulation results show that the proposed distance protection can respond to metallic poleto-ground faults and pole-to-pole faults rapidly and reliably.
Optimal Dispatch of Regional Integrated Heating and Power System Based on Differential Thermal Inertia Model
Authors: Ni Shiyuan , Lin Yi , Yao Defei , Wu Guilian , Wang Zehao , Huang Yan
Published: May 2021

As the physical carrier of Energy Internet, regional integrated energy system (RIES) has become an important role for improving comprehensive energy utilization efficiency. First, a subtle thermodynamic model of buildings and water-heating network was constructed based on differential thermal inertia model. Different from the traditional single-layer wall thermal inertial model, this paper constructed multi-layer wall thermal model. Then, an optimization scheme combining electricity and heat was established. The optimization results show that, compared with the traditional single-layer wall thermal inertia model, the proposed multi-layer wall thermal inertia model has better performance. The proposed comprehensive energy optimization scheme can reduce the cost of electricity while maintaining indoor comfort, and can provide a reference for the system operation status for distribution network dispatching.
Closed-loop Simulation of Buck Converter Based on PSIM
Authors: Quan Sun , Yuan Sun
Published: May 2021

This paper introduces the working principle of Buck converter under voltage control, and studies the modeling method of Buck converter under special power electronics simulation software. Finally, the simulation of the converter is carried out under the condition of the mutation of input voltage and load. The simulation results show that the voltage control strategy has good transient response and anti-jamming ability, which has a good guiding significance for practical application.
A comprehensive energy system optimization method considering variable operating condition characteristics of equipment
Authors: Wang Yongli , Yao Suhang , Tao Siyi , Ma Yuze , Lu Yanchao
Published: May 2021

The economy of the Regional Integrated Energy System (RIES) scheduling scheme is affected by the parameter accuracy of different energy conversion equipment models. The traditional static energy hub (EH) model regards the equipment efficiency as a constant and ignores the variable condition characteristics of the equipment efficiency changing with the load rate. This paper presents an optimal scheduling method of RIES considering the characteristics of equipment under variable operating conditions. Firstly, the architecture of the integrated energy system is analyzed. Secondly, based on the DEH model, an optimal scheduling method of RIES was proposed considering the characteristics of equipment under variable operating conditions. Finally, an optimal scheduling analysis is performed for a typical RIs. The results show that the proposed method can improve the accuracy of the equipment model and reduce the cost prediction error by considering the variable operating conditions of the equipment, thus providing a more economical scheduling scheme for Ries.
Improved Coal Feeding Control System of Thermal Power Plant Based on PLC
Authors: Zhou Chi , Si Ruicai , Wang Songhan
Published: May 2021

Based on PLC, the improved coal feeding system of thermal power plant is developed, which solves the problems of poor timeliness and inaccurate quantity of coal feeder. In the process of belt transportation, a dynamic coal feeding rate is established. By controlling the coal feeding rate and then controlling the running speed of the belt, a certain amount of coal is supplied to the thermal power plant, so as to provide more accurate coal, improve the corresponding timeliness, and have better economic benefits.
Stability Assessment Approach Based on Trajectory Section Eigenvalue
Authors: Ruan Jiacheng , Zhang Hengxu , Cao Yongji
Published: May 2021

Eigenvalue Method can analyze the operating features of the system. The trajectory section eigenvalue method combines the model and trajectory, and extends the equilibrium point eigenvalue to the unbalanced point of the cross section at any time on the disturbed trajectory, which well solves the non-linearity and the time-varying issues of the system. Based on the theoretical basis of clarifying the trajectory section eigenvalue (TSE) method, the paper establishes a stability evaluation framework based on the time-varying second-order resonant circuit, which extrates the damping feature and frequency feature information in the eigenvalue sequence of the trajectory section, then compares it with the results of signal processing. The influence mechanism of time-varying factors on system stability is clarified, and the advantages of the trajectory section eigenvalue method in stability evaluation are demonstrated.
Alterstraumatologische Netzwerke
Authors: Neuerburg Carl , Fleischhacker Evi , Keppler Alexander M. , Knobe Matthias , Liener Ulrich C. , Kammerlander Christian , Böcker Wolfgang
Published: May 2021

Interdisziplinäre (alterstraumatologische) Behandlungsansätze finden eine wachsende Akzeptanz zur Therapie älterer unfallchirurgischer Patienten und haben zum Ziel, peri-/postoperative Komplikationen zu reduzieren und das Patientenergebnis zu verbessern. Zur Sicherung der Qualität und des bestmöglichen Behandlungsergebnisses von alterstraumatologischen Patienten haben sich national wie international einige interdisziplinäre Netzwerke etabliert, in denen Behandlungstandards in der Versorgung älterer Frakturpatienten diskutiert und fixiert werden. In dem vorliegenden Beitrag werden zunächst die wesentlichen Hintergründe sowie die sozioökonomische Bedeutung alterstraumatologischer Frakturen erläutert. Anschließend werden die bisher etablierten Netzwerke, Arbeitsgruppen/Fachgesellschaften mit alterstraumatologischem Fokus präsentiert und international geltende Vorgehensweisen anhand festgelegter Richtlinien demonstiert. Von besonderer gesundheitsökonomischer Bedeutung ist dabei die seit dem 1.1.2021 in Deutschland geltende GBA-Richtlinie Hüftfrakturen, welche für alle Krankenhäuser bindend ist. Somit soll die interdisziplinäre Versorgung älterer Hüftfrakturpatienten in Deutschland zukünftig in besonderem Maße nach aktuellem wissenschaftlichen Kenntnisstand in die klinische Praxis implementiert werden.
Copper/Di-tert-butyl Peroxide-Catalyzed Regioselective Hydroxyphosphorylation of 1,3-Enynes
Authors: Zhu Shaoqun , Wang Jiawei , Zhou Bing , Hou Hong
Published: May 2021

The copper/di-tert-butyl peroxide-catalyzed regioselective hydroxyphosphorylation of 1,3-enynes is described. The advantages of the reported radical reactions are excellent functional group tolerance, the use of a catalytic amount of copper and di-tert-butyl peroxide (
t
BuOO
t
Bu) as a radical initiator, and mild reaction conditions. The desired products are obtained in moderate to excellent yields after purification.
Vascularized Occipital Bone Grafting: Indications, Techniques, Clinical Outcomes, and Alternatives
Authors: Winocour Sebastian J. , Xue Erica Y. , Bohl Michael A. , Farrokhi Farrokh , Davis Matthew J. , Abu-Ghname Amjed , Ropper Alexander E. , Reece Edward M.
Published: May 2021

Successful arthrodesis at the craniocervical junction and atlantoaxial joint can be more challenging than in other segments of the cervical spine. Different techniques for spinal fixation in this region have been well described, along with auxiliary methods to improve fusion rates. The occipital vascularized bone graft is a novel technique that can be used to augment bony arthrodesis in the supra-axial cervical spine. It provides the benefits of a vascularized autologous graft, such as accelerated healing, earlier fusion, and increased strength. This technique can be learned with relative ease and may be particularly helpful in cases with high risk of nonunion or pseudoarthrosis in the upper cervical spine.
Vascularized Posterior Iliac Crest Bone Grafting: Indications, Techniques, Clinical Outcomes, and Alternatives
Authors: Winocour Sebastian J. , Schultz Kelly P. , Davis Matthew J. , Abu-Ghname Amjed , Bohl Michael , Ropper Alexander E. , Maricevich Marco , Reece Edward M.
Published: May 2021

Pseudarthrosis is a feared complication of spinal fusion procedures. Currently, the gold standard in prevention or treatment of pseudarthrosis is placement of nonvascularized iliac crest bone autograft. While rates of fusion are significantly higher in patients with use of nonvascularized bone autografts than with allografts, patients who have previously failed lumbar arthrodesis or those at a high risk for pseudarthrosis may benefit from a more robust, vascularized bone graft with enhanced osteogenicity. In this article, we discuss the use of iliac crest vascularized bone grafts as an adjunct for high-risk patients undergoing lumbosacral spine arthrodesis.
Studies on fast neutron multiplicity measurement based on neural network
Authors: Li Kaile , Li Sufen , Zhang Quanhu , Cai Xingfu , Yang Jianqing
Published: May 2021

In the measurement of fast neutron multiplicity, the multiplicity counting rates of neutrons, including singles, doubles, and triplets, are often substituted into the measurement equation to solve quality problems. To simplify the solution process and directly obtain the sample quality through S, D, and T, a neural network and multivariate nonlinear fitting are used for analysis. First, multiple sets of data are measured through a detection system built with Geant4. After the training of the back propagation neural network, the corresponding relationship between S, D, T, and m is established. It is verified that there are different degrees of discrepancy between the predicted values of the neural network and the simulated and theoretical values. To improve the accuracy of predictions, genetic algorithm optimization and M coefficient correction are introduced. To analyze the stability of the neural network model, a 10% error perturbation is introduced for S, D, and T. The double rate has the greatest influence on the deviation of the predicted value, indicating that the double rate is the key parameter in the analysis of neutron multiplicity. On this basis, a functional relationship is obtained through multivariate nonlinear fitting, and the validation of the fitting equation is verified by simplifying the fast neutron multiplicity measurement technology equation.
Brain-inspired computing via memory device physics
Authors: Ielmini D. , Wang Z. , Liu Y.
Published: May 2021

In our brain, information is exchanged among neurons in the form of spikes where both the space (which neuron fires) and time (when the neuron fires) contain relevant information. Every neuron is connected to other neurons by synapses, which are continuously created, updated, and stimulated to enable information processing and learning. Realizing the brain-like neuron/synapse network in silicon would enable artificial autonomous agents capable of learning, adaptation, and interaction with the environment. Toward this aim, the conventional microelectronic technology, which is based on complementary metal–oxide–semiconductor transistors and the von Neumann computing architecture, does not provide the desired energy efficiency and scaling potential. A generation of emerging memory devices, including resistive switching random access memory (RRAM) also known as the memristor, can offer a wealth of physics-enabled processing capabilities, including multiplication, integration, potentiation, depression, and time-decaying stimulation, which are suitable to recreate some of the fundamental phenomena of the human brain in silico. This work provides an overview about the status and the most recent updates on brain-inspired neuromorphic computing devices. After introducing the RRAM device technologies, we discuss the main computing functionalities of the human brain, including neuron integration and fire, dendritic filtering, and short- and long-term synaptic plasticity. For each of these processing functions, we discuss their proposed implementation in terms of materials, device structure, and brain-like characteristics. The rich device physics, the nano-scale integration, the tolerance to stochastic variations, and the ability to process information in situ make the emerging memory devices a promising technology for future brain-like hardware intelligence.
A design method of broadband metalens using time-domain topology optimization
Authors: Yasuda H. , Nishiwaki S.
Published: May 2021

Flat metalenses have attracted attention due to an increasing demand for compact electromagnetic devices. For such applications, broadband metalenses are highly desirable; however, conventional metalenses show relatively narrow band operation. Here, we propose a design method of free-form metalenses using topology optimization to operate with enhanced bandwidths. In contrast with preceding reports of topology optimization methods for metalenses, we developed a topology optimization method based on the time domain formulation to deal with broadband frequencies simultaneously. For this purpose, a group delay of optical pulses in the time domain, which is equivalent to the broadband phase matching condition in the frequency domain, is employed in the objective function. A level set based topology optimization method is applied to obtain a clear optimal configuration. To demonstrate the effectiveness of the proposed method, we provide design examples of metalens unit cells at millimeter frequency. We confirm that optimized unit cells of metalenses show superior performance compared to the conventional unit cells for both transmittance efficiency and phase error in broadband wavelength.
Taxonomic revision of a radiation of South-east Asian freshwater mussels (Unionidae : Gonideinae : Contradentini+Rectidentini)
Authors: Pfeiffer John M. , Graf Daniel L. , Cummings Kevin S. , Page Lawrence M.
Published: May 2021

The tribes Contradentini and Rectidentini (Unionidae) comprise a diverse clade of freshwater mussels endemic to South-east Asia. Our understanding of the diversity and phylogeny of this radiation has improved dramatically in recent years, but this systematic transformation has not yet benefited from comprehensive museum sampling or phylogenomic methods. A synthetic taxonomic revision of the Contradentini+Rectidentini that leverages these useful and accessible methods is needed. We set out to (1) generate a phylogenomic reconstruction of the supraspecific relationships of the Contradentini+Rectidentini using anchored hybrid enrichment, (2) revise the taxonomy and geographic boundaries of the generic and species-level diversity of the radiation, and (3) identify patterns of freshwater mussel diversity and distribution in this clade and discuss the processes that may have precipitated them. Our phylogenomic reconstruction using over 1600 loci, with a total alignment length of over a half a million nucleotides, recovers a well supported phylogeny of the clade that resolves four independent multispecies radiations endemic to the Mekong drainage. We examined, digitised, and imaged 1837 records from 15 natural history museums that provided the necessary data to document the morphological variation and geographic distributions of the focal taxa. We also analysed 860 COI sequences, 519 of which were generated in this study, to better understand the species boundaries and geographic distributions of the recovered clades. We recognise 54 valid species in the tribes Contradentini and Rectidentini, including 9 described herein as new to science. Out of this revision emerged several interesting biogeographic patterns that appear to have resulted from recent stream capture, historical confluence, and intradrainage barriers to dispersal. We hypothesise that these phenomena shaped the diversity and distribution of the Contradentini+Rectidentini, contributing to the formation of several characteristic freshwater mussel provinces in South-east Asia.
Construction of virtual simulation teaching platform for elevator control
Authors: Chang Wanfeng , Zhang Qingyong , Xia Huiwen , Yang Yang
Published: May 2021

Aiming at the deficiencies of the PLC teaching and training platforms in various colleges and universities, in order to meet the needs of students to debug PLC programs in various application places, taking elevator control as an example, this paper uses virtual reality technology, visualization technology, and computer programming technology to design a virtual simulation teaching platform based on PLC elevator control. Students can run the virtual simulation platform on the web page, learn the relevant basic knowledge, understand the operating principle of the elevator, and use the ladder diagram language to program in order to achieve the purpose of learning PLC. The results show that students can write and verify PLC programs anytime and anywhere, which greatly reduces the cost of purchasing training equipment and improves learning efficiency.
An efficient use of electric power controller from MPPT solar charge
Authors: Mairizwan  , Anshari Rio , Dewi Wahyuni Satria
Published: May 2021

The use of the MPPT algorithm in harvesting solar cell energy has been developed by various methods and has been used in the market. The use of this system has high efficiency and is stable in harvesting and storing electrical energy. However, the use of solar cell energy has the problem of controlling excessive energy consumption by electrical equipment, causing problems in the system and shortening the life of the system. For this reason, a study was conducted to control the optimization of the MPPT system and the use of energy from solar energy storage. The method used is optimization of the MPPT system using microcontroller control and integrated with current limiting control for the output load. From the results of these studies, it is found that the power harvested from solar cells is at the maximum point and a balance between the stored power from absorption from solar cells with power consumption by electronic equipment. These results can increase the efficiency and effectiveness of the absorption and use of solar energy based on solar cells. With this balance, it will reduce the factors that cause system failure and ensure a long battery life
Preliminary investigation of boron nitride nanotubes as an active material of sunblock
Authors: Jonuarti Riri , Haryanto Freddy , Suprijadi
Published: May 2021

Boron nitride nanotubes (BNNTs) are investigated as an active material of sunblock. Both the optical calculations and the experimental measurements are performed in this present study. Optical calculation such as the dielectric function of BNNTs are calculated using the random phase approximation (RPA). While, the experimental measurements started with the preparation of sunblock gel samples containing BNNTs with a basic formula consisting of a mixture of carbopol 940 and triethanolamine (TEA). Then, the sunblock gel samples are examined using the UV absorption spectroscopy and the diffuse reflectance spectroscopy. Both the results of the optical calculations and the experimental measurements, show that BNNTs have good absorption in the ultraviolet region and good transparency in the visible light region. This preliminary investigation indicates that BNNTs has the opportunity to be further developed as an active sunblock material.
Seismic data interpretation for mapping the subsurface structure thickness of top and base parigi formation, Konro field, northern West Java basin
Authors: Rafiandi R , Indriani R F , Mariyanto M
Published: May 2021

The Northern West Java Basin is one of the basins which has been proven to have oil content. In the exploration stage, we need an effective method in providing a description of seismic cross section model of the subsurface conditions of a study area. This study aims to map the thickness of the subsurface structure of the Parigi formation and understand the interpretation of seismic data in the time and depth domain. Seismic cross section has interpreted to determine the location of the alleged potential for hydrocarbon accumulation. In this study we focus on the top and base Parigi formation and obtain subsurface structure map in the time and depth domain. We use time to depth conversion (velocity interval method) to map the subsurface structure thickness. The results of the study show that there is anomaly built up which has potential as a gathering place for hydrocarbon on Parigi formation. The difference in thickness between the top and base Parigi is indicated by the differences in appearance of the structure map. The depth range shown on this map is around 1850ft-2135ft. So that the thickness of the Parigi formation in the study area is 285ft.