bluuebunny/crossref_metadata_2025 huggingface dataset:
Magnetic and electronic properties of transition metal doped aluminium nitride: Haldane’s approach combined with ab initio results
Authors: Harikumar Parvathy , Jaya S. Mathi , Chandra Sharat
Published: March 2021

The electronic and magnetic properties of transition metal (Mn and Cr) doped Aluminium Nitride (AlN) in the wurtzite structure is studied using the single impurity Anderson model (SIAM) extended to semiconductors by Haldane. An equation of motion method based on Green’s function was used to obtain the effective spin decomposed impurity levels. The calculated electronic density of states of Mn and Cr valence orbitals exhibit half metallic properties when the impurity is strongly coupled to the host. The effect of the Coulomb correlation and orbital hybridization on the formation of a localized moment in such systems is investigated. Magnetic impurities are often responsible for the inelastic scattering of conduction electrons. For a configuration averaged random ensemble of impurities, initially non-polarized host band develops a small moment presumably due to the potential scattering.
‘No-Frills Prils’: GPs’ views on drug costs and therapeutic interchange of angiotensin-converting enzyme inhibitors: a qualitative study
Authors: Lim Hok , Sanci Lena , Webster Susan , Wilson Alyce N. , Lau Phyllis
Published: March 2021

Medications form a significant portion of spending in primary health care. Angiotensin-converting enzyme inhibitors (ACE-Is) are among the most prescribed blood pressure medications in general practice. Medications within this class are considered therapeutically equivalent, but the cost of each ACE-I varies. Our aim was to explore cost and other factors that influence general practitioners (GPs) to prescribe a specific ACE-I and understand their views on therapeutic interchange within this drug class. We conducted a qualitative study of Australian GPs using thematic analysis. We found that GPs were aware of therapeutic equivalency within the ACE-I class, but unaware of the cost differences. Although GPs tended to adopt a prescribing preference, they were open to fewer prescribing options if there was a decreased cost to patients and the PBS, or potential to minimise prescribing error. Our findings have immediate relevance for national prescribing policies and the Pharmaceutical Benefits Scheme (PBS). The wide selection of ACE-Is that are available results in diverse prescribing patterns and may not be cost-effective for patients or the PBS. Restricting the number of drug options within the ACE-I class in primary care appears to be an acceptable drug cost-containment strategy according to our sample of GPs.
Structured yet simple approaches to primary care data quality improvements can indeed strike gold
Authors: Ghosh Abhijeet , Halcomb Elizabeth , McCarthy Sandra , Ashley Christine
Published: March 2021

General practice data provide important opportunities for both population health and within-practice initiatives to improve health. Despite its promise, a lack of accuracy affects the use of such data. The Sentinel Practices Data Sourcing (SPDS) project is a structured chronic disease surveillance and data quality improvement strategy in general practice. A mixed-methods approach was used to evaluate data quality improvement in 99 participating practices over 12 months. Quantitative data were obtained by measuring performance against 10 defined indicators, whereas 48 semi-structured interviews provided qualitative data. Aggregated scores demonstrated improvements in all indicators, ranging from minor to substantially significant improvements. Participants reported positively on levels of support provided, and acquisition of new knowledge and skills relating to data entry and cleansing. This evaluation provides evidence of the effectiveness of a structured approach to improve the quality of primary care data. Investing in this targeted intervention has the potential to create sustained improvements in data quality, which can drive clinical practice improvement.
The mosquito protein AEG12 displays both cytolytic and antiviral properties via a common lipid transfer mechanism
Authors: Foo Alexander C. Y. , Thompson Peter M. , Chen Shih-Heng , Jadi Ramesh , Lupo Brianna , DeRose Eugene F. , Arora Simrat , Placentra Victoria C. , Premkumar Lakshmanane , Perera Lalith , Pedersen Lars C. , Martin Negin , Mueller Geoffrey A.
Published: March 2021

Significance

Lipid-enveloped viruses such as flaviviruses and coronaviruses underlie numerous human illnesses. Strategies which target this shared membrane feature may be useful as broad-spectrum antiviral agents. The mosquito protein AEG12 disrupts lipid membranes via delivery of a fatty acid in exchange for diacylphospholipids. This mechanism allows the mosquito to digest red blood cells after a meal and disrupts lipid coat viruses as part of the mosquito immune response to infection. It may be possible to engineer this strategy for human therapeutics.
The diversity and evolution of microbial dissimilatory phosphite oxidation
Authors: Ewens Sophia D. , Gomberg Alexa F. S. , Barnum Tyler P. , Borton Mikayla A. , Carlson Hans K. , Wrighton Kelly C. , Coates John D.
Published: March 2021

Significance

Geochemical models of the phosphorus (P) cycle uniquely ignore microbial redox transformations. Yet phosphite is a reduced P source that has been detected in several environments at concentrations that suggest a contemporary P redox cycle. Microbial dissimilatory phosphite oxidation (DPO) converts soluble phosphite into phosphate, and a false notion of rarity has limited our understanding of its diversity and environmental distribution. Here we demonstrate that DPO is an ancient energy metabolism hosted by taxonomically diverse, autotrophic bacteria that exist globally throughout anoxic environments. DPO microorganisms are therefore likely to have provided bioavailable phosphate and fixed carbon to anoxic ecosystems throughout Earth’s history and continue to do so in contemporary environments.
Mesoscale networks and corresponding transitions from self-assembly of block copolymers
Authors: Chang Cheng-Yen , Manesi Gkreti-Maria , Yang Chih-Ying , Hung Yu-Chueh , Yang Kai-Chieh , Chiu Po-Ting , Avgeropoulos Apostolos , Ho Rong-Ming
Published: March 2021

Significance

Mesoscale networks from the self-assembly of block copolymers (BCPs) demonstrate appealing potentials in a variety of applications such as optical, mechanical, and quantum metamaterials. Herein, three intriguing network phases (double gyroid, double diamond, and double primitive) could be obtained via controlled self-assembly of a simple lamellae-forming polystyrene-block-polydimethylsiloxane diblock copolymer. Kinetically controlled solution-casting and thermal annealing procedures are able to acquire these three metastable phases; in line with the self-consistent field theory, phase transitions start from primitive to diamond, and then to gyroid. Further examinations through small-angle X-ray scattering and electron tomography reveal the phase transitions with epitaxial relationships of the networks and adjustments on curvatures at the high interaction parameter (χ) BCP interface.
Another turn of the screw on the history of the reaction object construction
Authors: Bouso Tamara , Ruano San Segundo Pablo
Published: March 2021

This article deals with the Reaction Object Construction (ROC), as inShe smiled disbelief, where an intransitive verb (smile), by adding an emotional object (disbelief), acquires the extended sense “express X by V−ing” (i.e. “She expressed disbelief by smiling”). Earlier research has suggested a diachronic connection between the ROC and Direct Discourse Constructions (DDCs) of the typeShe smiled, “I don’t believe you”(Visser 1963–1973). More recently,Bouso (2018)has shown that the ROC is primarily a feature of 19th century narrative fiction. This paper aims to bring together these insights. On the basis of a self-compiled corpus and De Smet’sCorpus of English Novels, it investigates the productivity of the ROC in 19th and 20th century fiction, and the role of DDCs in its development. The results reveal a peak in the productivity of the ROC that coincides with the development of the sentimental novel, and a correlation between the development of the ROC on the one hand and of those DDCs that have been mistakenly hypothesised to be its single source constructions on the other. Extravagance is proposed as a triggering factor for the use of the ROC in the 19th century as an alternative to DDCs.
From dynamic modal to conditional protasis connective
Authors: Kuo Yueh Hsin
Published: March 2021

The grammaticalization literature has not demonstrated convincingly how, if at all, dynamic modals may develop into conditional protasis connectives. Drawing on qualitative and quantitative evidence from Chinese, this paper hypothesizes that such a directionality may arise through univerbation between dynamic modals and protasis connectives (e.g.ruò‘if’ +néng‘be able to’ >ruònéng‘if’). Furthermore, this paper suggests that functional compatibility in terms of performativity may explain why dynamic modals tend to grammaticalize into connectives in pre-established conditional protases, while deontic and epistemic modals do so in main clauses.
Exploring the Case: Autour du Louvre-Lens: An Ambitious Tourism Engineering Project
Authors: Ward-Perkins David
Published: March 2021

Introduction

In France, culture is seen as an economic driver and central government plays a role in driving ambitious cultural initiatives, even at a regional level. This case describes how regional tourism authorities are overcoming the potential clash of perception between a newly established branch of the Louvre Museum in the town of Lens, in Nord-Pas-de-Calais, a region with a strong industrial and working-class culture.

Researchers and students should note that a number of the sources are in French only. However, of the websites of the local authorities, some propose English-language versions; others are presented very visually and the messages will largely be understandable, even to non-French speakers.
Assessment of Gabapentin Misuse using Prescription Drug Monitoring Program Data
Authors: Zhang Yifan , Castracane Alexandria R. , Winstanley Erin L.
Published: March 2021

Background

Gabapentin is an anticonvulsant medication with potential misuse reported in case reports and population studies, highlighting the need to reexamine its abuse liability. The purpose of this study was to describe gabapentin dispensing patterns and assess potential misuse.

Methods

We used data from Ohio's Prescription Drug Monitoring Program (PDMP) from December 1, 2016 to March 31, 2017 and restricted the population to adults who filled at least one gabapentin prescription ( N = 379,372). Gabapentin dispensing patterns are described and multiple strategies were used to assess potential misuse, including Lorenz-1 curve analysis. Supratherapeutic dosing, number of prescribers and number of pharmacies used were compared for individuals who were co-dispensed medications for opioid use disorder (MOUD) and those who were not.

Results

More than one million gabapentin prescriptions were dispensed during the 4-month period, with a mean dose of 1103.8 mg. While few individuals received supratherapeutic dosing, exceptionally high doses were observed. Half of the individuals (50.9%) were co-dispensed gabapentin and opioids. The Lorenz-1 value for gabapentin (5.5%) did not exceed the threshold for misuse potential. Individuals co-dispensed MOUD were more likely to have supratherapeutic dosing; however, they had a lower Lorenz-1 value compared to individuals not co-dispensed MOUD.

Conclusions

Among Ohio residents dispensed gabapentin, there was no evidence of misuse using PDMP data based on the Lorenz-1 value, yet supratherapeutic dosing of gabapentin was observed and was associated with OUD. New strategies may be needed to identify the non-medical use of gabapentin.
Discrete symmetry approach to exact bound-state solutions for a regular hexagon Dirac billiard
Authors: Gaddah Wajdi A
Published: March 2021

We consider solving the stationary Dirac equation for a spin-1/2 fermion confined in a two-dimensional quantum billiard with a regular hexagon boundary, using symmetry transformations of the point group C
6v
. Closed-form bound-state solutions for this problem are obtained and the non-relativistic limit of our results are clearly discussed. Due to an adequate choice of confining boundary conditions the upper components of the planar Dirac-spinor eigenfunctions are shown to satisfy the corresponding hexagonal Schrödinger billiard, and the Dirac positive energy eigenvalues are proven to reduce directly to their Schrödinger counterparts in the non-relativistic limit. An illustrative application of our group theoretic method to the well-known square billiard problem has been explicitly provided. The success of our approach in solving equilateral-triangle, square and regular hexagon quantum billiards may well imply a possible applicability to other regular polygonal billiards. A quick look on nodal domains of the Schrödinger eigenfunctions for the hexagon billiard is also considered. Moreover, we have determined a number of distinct non-congruent polygonal billiards that have the same eigenvalue spectrum as that of the regular hexagon.
Characterization of optogenetically-induced cortical spreading depression in awake mice using graphene micro-transistor arrays
Authors: Masvidal-Codina Eduard , Smith Trevor M , Rathore Daman , Gao Yunan , Illa Xavi , Prats-Alfonso Elisabet , Corro Elena Del , Calia Andrea Bonaccini , Rius Gemma , Martin-Fernandez Iñigo , Guger Christoph , Reitner Patrick , Villa Rosa , Garrido Jose A , Guimerà-Brunet Anton , Wykes Rob C
Published: March 2021

Objective. The development of experimental methodology utilizing graphene micro-transistor arrays to facilitate and advance translational research into cortical spreading depression (CSD) in the awake brain. Approach. CSDs were reliably induced in awake nontransgenic mice using optogenetic methods. High-fidelity DC-coupled electrophysiological mapping of propagating CSDs was obtained using flexible arrays of graphene soultion-gated field-effect transistors (gSGFETs). Main results. Viral vectors targetted channelrhopsin expression in neurons of the motor cortex resulting in a transduction volume ⩾1 mm3. 5–10 s of continous blue light stimulation induced CSD that propagated across the cortex at a velocity of 3.0 ± 0.1 mm min−1. Graphene micro-transistor arrays enabled high-density mapping of infraslow activity correlated with neuronal activity suppression across multiple frequency bands during both CSD initiation and propagation. Localized differences in the CSD waveform could be detected and categorized into distinct clusters demonstrating the spatial resolution advantages of DC-coupled recordings. We exploited the reliable and repeatable induction of CSDs using this preparation to perform proof-of-principle pharmacological interrogation studies using NMDA antagonists. MK801 (3 mg kg−1) suppressed CSD induction and propagation, an effect mirrored, albeit transiently, by ketamine (15 mg kg−1), thus demonstrating this models’ applicability as a preclinical drug screening platform. Finally, we report that CSDs could be detected through the skull using graphene micro-transistors, highlighting additional advantages and future applications of this technology. Significance. CSD is thought to contribute to the pathophysiology of several neurological diseases. CSD research will benefit from technological advances that permit high density electrophysiological mapping of the CSD waveform and propagation across the cortex. We report an in vivo assay that permits minimally invasive optogenetic induction, combined with multichannel DC-coupled recordings enabled by gSGFETs in the awake brain. Adoption of this technological approach could facilitate and transform preclinical investigations of CSD in disease relevant models.
Modeling of Friction Stress in Twin Roll Modules
Authors: Khurramov Sh R
Published: March 2021

The study is devoted to the analysis of the laws of the distribution of tangential friction stresses in twin roll modules. A two-roll module is considered, in which the rolls are positioned relative to the vertical by a slope to the right, have unequal diameters and elastic coatings from materials with different stiffness and friction coefficients, the material layer is sloped downward relative to the center line. Formulas are defined for calculating neutral angles in the considered two-roll module. Dependencies between the forces acting in the rolls and the stresses distributed under the influence of these forces are established. It was revealed that these dependences do not change with a change in the angle of supply of the material layer to the line of centers and the angle of inclination of the upper roll relative to the vertical.
FPGA Based Tsunami Wave Propagation Calculator
Authors: Lavrentiev M M , Lysakov K F , Marchuk An G , Oblaukhov K K , Yu Shadrin M
Published: March 2021

The authors continue to use hardware acceleration to calculate tsunami wave propagation in a few seconds at modern PC. The goal of this work is to develop original implementation the FPGA-based algorithm for nested-grids computations of tsunami wave propagation. The FPGA-based Calculator, for regular grid has been proposed and numerically tested earlier. Use of the nested grid approach makes it possible to calculate wave propagation almost until the shore line. Numerical tests are based on the real digital bathymetry at southern part of Japan. Mesh step variation of the gird is from 180 m to just 7 m. Realistic shape of the initial sea surface displacement at tsunami source was used. The detailed distribution of wave height maxima around and inside the Onahama port have been issued as a result of tsunami generated by a model source located along the Japan deep-water trench. The superfast FPGA calculator provides an opportunity to obtain the calculated wave parameters inside ports and harbours even before arrival of tsunami wave.
Impact of performance expectancy on continuance intention to use e-campus: An empirical study from Malaysia
Authors: Abdul Razak Fahmi Zaidi , Dom Maszita Mohd. , Baharudin Muhammad Hisyamudin
Published: March 2021

The use of information technology is widespread across various sectors. However, technology usage is sometime declining among certain individuals, and it is a drawback because the technology is not completely utilized. This study proposed that performance expectancy will have a relationship with user continuance intention. We use validated instrument obtained from previous study. Data was collected from 315 undergraduate and post graduate students from Malaysian private higher learning institution. The software SPSS 22 was adopted to analyse the proposed model. Statistical results demonstrated that performance expectancy is a strong predictor of user continuance intention. Implications for practitioners based on the results were discussed.
Measurement model for e-campus acceptance: A study in semi-private higher institutions in Malaysia
Authors: Halim Nor Fatiha binti Abdul , Anuar Nik Nur Nabihan Nik , Razak Fahmi Zaidi Abdul
Published: March 2021

Previous efforts to validate instruments to measure constructs related to technology acceptance have been very successful. However, little is known of its validity in private higher learning institution especially in religious based institution. We present an established and validated instrument to be revalidated in religious based higher learning institution. The scale involved in this validation study is technical proficiency, computer anxiety, satisfaction and innovativeness. Findings indicates that all subscale demonstrated adequate reliability and validity. Implications for future research are discussed.
Analytical Hierarchical Process (AHP): statistical index and factors that influence the housing price in Kuala Lumpur
Authors: Yee Gan Fui , Sufahani Suliadi Firdaus , Wahab Mohd Helmy Abd , Idrus Syed Zulkarnain Syed
Published: March 2021

The housing affordability issue has seriously occurred in Kuala Lumpur recently as the property price increased significantly from time to time. Several factors may influence the decision making of the buyers. The factors were the interesting topic for this study which can assist the consumers to purchase a suitable residence in Kuala Lumpur. The Analytical Hierarchical Process (AHP) was used to determine the best alternative for the housing selection. The priority weight for seven factors were determined and the AHP structure simultaneously. As the result showed, the best alternative is the medium property price where the consumer should purchase a residential property with medium property price. This research may limit to the opinions of the consumers, the recommendation for further researchers was to gather more thoughts from the policymaker or the developer to understand the overall situation for this issue.
Development of Water Pipelines Energy Harvesting System
Authors: Liew H F , Rosemizi Abd R , Romli M I Fahmi , Nuraidah M. T.
Published: March 2021

Previously, the threats of negative effects caused from burning process of the fossil fuels is somewhat alarming which it may lead to acid rain, increasing greenhouse emissions and global warming. Based on the highlighted issue, this study aims to develop a system where the input power came from water pipes energy harvesting system. Water pipes harvesting system will be designed using polyvinyl chloride pipes and water turbines, to transform kinetic energy of a water flow into electrical energy and the energy performance will be monitored in a web-server using Arduino and ESP8266 Wi-Fi module as its processing centre. This research studies the feasibility of harvesting some energy from pipeline vibrations, and it is also observed that harvestable energy varies with harvesting location across a pipeline network as well as the pipe flow rate in the water-air and kinetic energy in the water pressure fluctuation. The water pipelines energy harvesting systems are modelled and then analyzed by using simulated data and real data using Arduino. Turbine generator are mounted on the pipeline surface at different locations to simultaneously collect vibrations-induced energy data from water pumping. The water flow rate energy harvester system and the water pressure fluctuation introduced in this research may be able to generate up to 6.8 mW’s power. The output produced from the energy harvesting system is expected to be enough to light up a 3.8 V direct current light emitting diode bulb.
The Impact of Integrating ICT in Malay Foreign Language Teaching and Learning
Authors: Ahmad Mazlina , Rashid Roswati Abdul , Mansor Noor Rohana , Ahmad Maryani , Sung Cho Min , Hussain Eizah Mat , Chua Abdullah Nurul Ain
Published: March 2021

COVID-19 affects 213 countries and territories around the world. This pandemic prompts substantial negative repercussions on social, health, economic, education, and tourism domains. New norms of life activities are designed as a solution so that life can be continued as before. This situation includes the education field, whereby various methods are created so that the progression of learning and teaching can be carried out even in limited circumstances. An imperative solution was chosen to integrate ICT into this field. Thus, the ICT applications in teaching and learning were the researchers’ focus of attention. This research centred predominantly on Malay foreign language teaching and learning that must adapt and renew itself to be compatible with the ICT. The goal of this study was to examine the impact of ICT and highlight the positive effects of it in order to keep up with the prevailing situation of the coronavirus COVID-19 pandemic. The writing of this paper was based on research focusing on Malay foreign language teaching and learning using ICT. Studies revealed that the application of ICT in language learning begins to get recognition from educators. Although there are some strengths in integrating the ICT on the other, it still holds considerable vulnerability which requires improvements to be made in order to meet teaching and learning requirements. Therefore, this study further illustrated the level of impact of integrating ICT in the education as a source of reference to the educator and education apps developer who created more sophisticate apps and fulfilled the demand of education. This analysis too would become a reference to literature review in extemporising the quality of teaching and learning in Malay foreign language.
Research on Autofrettage Mechanism in Ultra-High Pressure Thick-walled Vessel
Authors: Li Guiqin , Deng Xuechao , Song Haoju , Zhang Baoqing
Published: March 2021

The stress distribution of the Ultra-High Pressure (UHP) vessel is uneven, the inner layer stress value is the maximum and the outer layer stress value is the minimum, resulting in insufficient utilization of the outer layer material and reduced fatigue strength. In order to obtain the pressure when the UHP vessel bursts into failure, this paper proposes a new formula for calculating the burst pressure and uses 30 experimental sample data to verify the accuracy. The error of the calculation result is about 5% lower than the error of the traditional Faupel burst pressure formula by 15%, and is not affected by the tensile strength.The UHP vessel improves the stress distribution and improves the fatigue life using autofrettage technology, reverse yielding does not occur when the best autofrettage pressure is unloaded, and the yield strength is calculated using the burst failure criterion method. Simultaneously, the Shigley method is used to predict the fatigue life of the autofrettaged UHP vessel to prove that its fatigue life has been significantly improved.
Research on test method and correlation of low temperature performance of hydraulic oil
Authors: An Haizhen , Sun Yuanyuan , Zhu Weiwei
Published: March 2021

At present, the low temperature test methods of hydraulic oil are characterized by low temperature kinematic viscosity, low temperature dynamic viscosity, low temperature pumping viscosity, low temperature brinell viscosity and pour point. In order to meet the different requirements of low temperature performance indexes of hydraulic oil products at home and abroad, the testing principles of various testing methods are introduced and analyzed, the flow performance of different testing methods under different working conditions is presented and the correlation between the methods is analyzed briefly.
Research on quality warning of PZT sintering process based on SPC
Authors: Wang Can , Wang Zeyu , He Fei
Published: March 2021

In the small-batch production mode of multiple varieties of piezoelectric ceramics, according to the special requirements of batch sintering of the same batch of products in the sintering process, as well as the lack of quality sample data, quality status monitoring and inaccurate early warning, a combined process quality monitoring method of general control chart and CUSUM control chart was proposed. The method can effectively identify the slight deviation of quality and realize the early warning of process quality. The feasibility of this method is verified in this paper.
Research Status and Prospects of Materials for Aero-engines in China
Authors: Yang Pengxi
Published: March 2021

Aero-engine, a highly complex and precise thermal machinery, is the engine that provides the aircraft with the necessary power for flight. As the heart of aircraft, it directly affects the performance, reliability, and economy of the aircraft, and it is also an essential embodiment of a country’s scientific, technological, industrial, and national defense strength. Thus, this paper compares the material, structure, and process characteristics of China’s aero- engines and the development process and research status of high-temperature alloys in the field of aero-engines. Finally, some prospects are put forward for the development of aero-engine materials.
RETRACTED: Design and research of automatic fishing machine based on acoustic adjustment
Authors: Liu Yixuan , Hou Zhongshi , Cui Jianhua , You Kui
Published: March 2021

In this paper, an automatic fishing machine based on acoustic conditioning was developed and tested in a reservoir. The floating catcher is remotely and automatically controlled to operate underwater speakers, feeders and underwater cameras that monitor fish behavior in real time. The open net fence installed underneath the system can be automatically closed to catch captured fish. And in this paper, we monitor and discuss the dynamics of fish populations in the net box. With classic conditional reflexes, fish can associate sound signals with food. Also, in order to strengthen the conditioned behavior of fish swimming freely in the reservoir, we employ regular training. With the utility of an audible signal which is to attract fish around the catcher, the catcher can catch fish and automatically close the net fence around them: fish catches in this particular event are 2.5 times as much as ones in a controlled event. In controlled events, the net fence is automatically closed without summoning fish.
Research on Current Loop Bandwidth under Limits of Delay Time and Overshoot
Authors: Wang Chaoran
Published: March 2021

The delay of the forward channel and the feedback channel is one of the main factors that affect the current loop control effect. However, a large amount of literature currently only pays attention to the forward channel delay, which has a great impact on the system, and ignores the influence of the feedback channel delay on the system. Based on the actual current loop model, the bandwidth and dynamic response of the servo control system when the forward channel delay and the feedback channel delay exist simultaneously are analyzed. Provide theoretical reference for engineering practice.
Infrared Polarization Image Fusion and Detection System for Ship Target
Authors: Tuo Haonan , Shi Guochuan , Luo Xiaolin
Published: March 2021

In order to realize the fusion and detection of ship targets, infrared polarization image fusion and detection technology is adopted in this paper, and a design scheme of infrared polarization image fusion and detection system based on ship targets is proposed, which solves the key technologies such as processing system and fusion and detection algorithm, and the image detection rate is high. The proposed system can be used as a laboratory standby system.
Analysis of Fault Characteristics of AC Line Interconnected with MMC
Authors: Li Dongsheng , Yang Bingyuan , Xu Shuo
Published: March 2021

Affected by the control strategy of suppressing the negative sequence current and limiting the amplitude of the positive sequence current after the MMC fault, the fault characteristics of the converter side of the AC line interconnected with the MMC show that the negative sequence current is very small and the positive sequence current amplitude is different from the rated value Compared with the fault characteristics of the traditional power supply, there are obvious differences between the minor characteristics and the fault characteristics of the traditional power supply. And it has been simulated and verified on the RTDS simulation platform.
RETRACTED: Research on Physical Education in Colleges and Universities Based on Multimedia Big Data Environment
Authors: Wei Xie
Published: March 2021

With the advancement of modern society, information exchange is convenient and fast, and the increase in data volume makes data more convincing. Therefore, in the context of big data, the evaluation of college physical education quality is more scientific and objective. In the context of the development of the era of big data, college physical education teaching models mainly involve three micro-classes, MOOCs, and flipped courses. Some colleges and universities use the Internet to innovate physical education teaching methods or introduce innovative teaching software to effectively improve college physical education. The individualized level of class teaching makes it more in line with the physical learning needs of students in the era of big data. Based on this, starting from the big data era and the development of college physical education, combined with specific teaching cases, several college physical education teaching models are introduced, in order to provide help for college physical education teachers to carry out class teaching.
Design and Application of Building Intelligent Integrated Wiring System
Authors: He Xiaodan
Published: March 2021

Generic cabling is an important basic work for enterprises to realize networking, automation, digitization, and intelligence. This article introduces the structured integrated wiring system of the network, especially the 6 modules included in the structured wiring system, and the network wiring engineering circuit in a more detailed discussion, and combined with engineering application examples, analyses the structured wiring system Composition and engineering design process.
Research on Advanced Power System Analysis and Control Based on Big Data Technology
Authors: Ma Aoxiang
Published: March 2021

The continuous development of big data technology has brought many new ideas and challenges to power system analysis and control. With the development of distributed power sources, energy storage, monitoring, and protection devices, the traditional distribution network has gradually evolved into much Active distribution networks with control ability. At present, the power quality of the power system is a hot issue in power system research. There are many types of power quality disturbances, mainly including single type and compound type disturbances. The thesis first uses Matlab to model and simulate the power quality disturbance signal and then obtains a complex number matrix through S transform, then calculates its modulus, and extracts the corresponding characteristic parameters to form the characteristic vector. Secondly, the thesis uses a simple and efficient decision tree to correctly classify and identify power quality disturbance signals. Finally, the thesis’s simulation analysis results show that this research method combining S transform and decision tree has high recognition accuracy and strong anti-noise ability, which is a very suitable method.
Personalized Recommendation Algorithm for Mobile Based on Federated Matrix Factorization
Authors: Jia Junjie , Lei Zhipeng
Published: March 2021

There is a problem that the amount of users’ preference data on the mobile is small, and users are unwilling to disclose the preference data for the recommendation system about mobile users, so the server can’t centrally train a large amount of users’ preference data for a personalized recommendation. This paper proposes a personalized federated matrix factorization algorithm by introducing a federated matrix factorization model. The algorithm introduces users’ and items’ biases to modify the predictive rating model on each mobile; At the same time, conformity is introduced to give different weights to the preference data. In the case that the preference data does not leave the mobile, but the user preference data of the multiparty mobiles is shared, the multi-party mobiles and the server jointly train personalized matrix factorization model. The experimental results show that the algorithm in this paper still has high recommendation accuracy under the premise of correct updating in the federated matrix factorization model that uses bias and conformity.
Research on the design of multi-source heterogeneous data application framework for deep sea based on XML
Authors: Zhang Liting , Yu Wensheng , Ren Feng , Sun Jiawei , Liu Xiangyu , Zhang Nenghui , Zhang Ying
Published: March 2021

In view of the various instruments, equipment, survey methods and current problems involved in the deep sea survey, based on the analysis of the characteristics of the deep sea survey data, this paper puts forward a design method for the application framework of multi-source heterogeneous data in the deep sea survey. This method uses XML language to analyze, extract and fuse the multi-source heterogeneous data generated by marine survey equipment, so as to meet the practical application requirements of data. The practice shows that this method is feasible and easy to use as an application method of multi-source heterogeneous data in deep and deep sea survey.
Application Research of BP Neural Network Optimization Based on Firefly Algorithm
Authors: Wang Kun , Li Shixin , Zhang Hai
Published: March 2021

Aiming at the problems of low prediction accuracy and premature convergence of traditional BP network prediction models, firefly algorithm FA is introduced into BP neural network model to optimize the optimization process of neural network weights and thresholds. This paper presents a BP neural network prediction model based on firefly algorithm. Taking Fujian port throughput data as an example, the application verification and comparative analysis of the improved prediction algorithm are carried out. The experimental results show that the improved FA-BP prediction algorithm has better performance in prediction accuracy and stability.
Design of a Stereo Monitoring System Based on Wireless Sensor Networks
Authors: Jian Bijian , Ling Yongfa , Liu Xiaoyu , Xie Yicheng
Published: March 2021

Recently, Wireless sensor network is regarded as a new information acquisition platform, its relevant technologies have been widely used as the basis of the Internet of Things. In order to realize the campus information construction, a campus stereo monitoring system based on wireless sensor network is designed in this paper. Such technologies as the intelligent information processing technology of wireless sensor network, the remote WIFI wireless data communication technology, the cloud services technology and the management query technology for monitoring points based on the internet display platform are adopted in this system synthetically, realize on line real time monitoring and location, which can not only reduce the human cost, but also has important significance in maintaining campus safety and campus management.
A Survey of Cost Optimization in Serverless Cloud Computing
Authors: Li Zhe , Tan Yusong , Li Bao , Zhang Jianfeng , Wang Xiaochuan
Published: March 2021

Recently serverless cloud computing which was proposed by Amazon in 2015 is getting more favored by developers because of its charging model of pay-by-usage, applicability for fine-grained services and transparency of the servers to developers. Although a lot of study has proved that the performance and cost of serverless platform is more ideal than the traditional cloud computing service, the new metering model of serverless which depends on execution time, usage count and memory footprint is still unfamiliar to most developers and researchers. In this paper, we firstly make an introduction to the new metering model and the advantages of serverless over traditional cloud services. Then according to the cost affecting factors, we make a comprehensive survey of some constraints that mainly impact the cost of serverless and related methods to reduce cost in three levels—function level, container level and cloud platform level. Based on the analysis, we also propose some directions worthy of in-depth study in the future.
Research on optimal allocation of multi level resources in large power grid enterprises
Authors: Song Haiyun , Zhang Xiaofeng , Li Rui
Published: March 2021

China’s large power grid enterprises often need to achieve optimal allocation of resources between different levels. This paper establishes a multi-level resource allocation model of large-scale power grid enterprises based on the difference of hierarchical demand, and puts forward the allocation strategy of multi-level resource optimal allocation, and thinks that it is necessary to establish and improve the cross level power market to promote the optimal allocation of resources at different levels of power grid enterprises.
Comparative study on control effect of permanent magnet synchronous motor based on Fuzzy PID control and BP neural network PID control
Authors: Ding Yawen
Published: March 2021

Aiming at the problems of low control precision, poor anti-interference ability and poor stability of traditional PID controller, the improvement effect of fuzzy control and BP neural network in closed-loop control of PMSM is compared. In the case of variable speed and variable load, the stability, real-time, anti disturbance and robustness of PMSM system with traditional PID controller, fuzzy self-tuning PID controller and BP neural network PID controller as speed regulator are simulated and analyzed. The simulation results show that the fuzzy self-tuning PID controller has more advantages in the response speed of the system, and can make the system quickly recover to the initial state in case of sudden change. The BP neural network PID controller can ensure the relative stability of the system is better, and can restrain the sudden fluctuation.
A Two-layer Sequential State Estimation Method for electricity and heat Networks
Authors: Yang Xiaonan , Lang Yansheng , Zhang Heng , Lv Yan , Zhu Chengzhi , Liu Ye
Published: March 2021

As one of the main application forms of energy coupling utilization, the electric gas integrated energy system has been widely concerned. State estimation plays an important role in the operation monitoring and optimal scheduling of the electric gas integrated energy system. The state estimation is the basis of energy management of the electro-pneumatic coupling network, which can provide a high-precision global consistent solution for the subsequent optimal scheduling and safety evaluation of the electro-pneumatic coupling network. The steady state estimation model of gas network is established for grid connected operation or island mode, and the state estimation of complex gas network is realized. On this basis, the coupled state estimation model of electricity and gas is further established, and its performance in state estimation accuracy and bad data identification is tested.
On Influence of Computer Multimedia Technology in Language Learning
Authors: Wang Zhen , He Jianbo
Published: March 2021

In the 21st century, with the development of information technology, the popularization of multimedia technology and application of network technology, teaching methods and education technology have undergone great changes. How to fully understand the characteristics of multimedia technology, how to correctly use it to assist language teaching, thus effectively improve the efficiency of foreign language learning, is worth exploring. On the basis of defining the meaning of multimedia teaching, this paper analyzes in detail the advantages of applying multimedia technology in language teaching, thus creating good conditions for improving the efficiency of language classroom learning.
Research on Lung Medical Image based on Convolution Neural Network Algorithm
Authors: Xu Yipeng , Zhu Yiming , Chen Zhongrun
Published: March 2021

In the field of medical image processing, the convolution neural network (CNN) algorithm in depth learning solves many problems in machine vision.Aiming at the problems of low resolution of medical images and easy misjudgment of artificial recognition, in order to help medical workers to better identify the lesion area, this paper discusses the structure optimization, training and prediction ability of CNN, and trains the convolution neural network to judge the lesion area in the image.and get more accurate discriminant results on lung images, further verify the high efficiency, accuracy and reliability of convolutional neural network algorithm in medical image field.
Analysis and Comparison of Three Classical Color Image Interpolation Algorithms
Authors: Lu Jiahao
Published: March 2021

With the development of society, the progress of science and technology, the level of computer has been improved. Digital imaging technology has also achieved unprecedented development. The most commonly used digital cameras are Charge-coupled device (CCD) and Complementary Metal Oxide Semiconductor (CMOS) image sensors. Bayer filters are often used to help sensors capture color information. However, only one component can be achieved per pixel. Full-color images must be obtained by color interpolation. Therefore, the color interpolation algorithm has attracted the attention of the academic community. In this paper, three classical color interpolation algorithms- Bilinear interpolation algorithm, COK Algorithm, Gradient Interpolation Algorithm- are compared and studied. The Optimal Algorithm is selected by comparing false color, noise and color moire fringe. After comparison, it is found that the three basic algorithms will have color moire fringes appear. But the gradient interpolation algorithm has the least moire fringe and noise. COK Algorithm, second of all. But the COK Algorithm has color overflows.
Research on Detection Algorithm of Wheel Position based on CenterNet
Authors: Liu Yanyang , Yan Jun
Published: March 2021

In order to accurately determine the stopping state of a vehicle, a wheel location detection method combining enhanced images with CenterNet network was proposed.Image enhancement network was used to process the detected images to improve the contrast and sharpness of images. Then, CenterNet network was used to detect the wheel position in the enhanced image.The algorithm proposed in this paper can efficiently and accurately detect the vehicle wheel location, thus determining a variety of vehicle stopping states, so as to avoid the scene complexity limit, camera Angle and other factors that lead to the wrong judgment of stopping states, and greatly improve the efficiency of roadside parking management.
Optimal Design and Application of AGC Performance Index Measurement Standards for Generating Units Adapted To the China Southern Regional Frequency Regulation Auxiliary Service Market
Authors: Xu Du , Kuo Xin , Nan Lou , Yaping Hu , Zhe Zhai , Qixing Liu
Published: March 2021

With the advancement of the construction of the China southern regional frequency regulation auxiliary service market, the calculation method of the AGC performance index of the generator set needs to be further optimized. To this end, an optimization scheme for calculating the AGC performance index of generator sets that is suitable for the China southern regional frequency regulation auxiliary service market is proposed. First, the demand for AGC unit participation in the frequency regulation market is analyzed, and a model for AGC unit participation in the frequency regulation market is established. Through theoretical analysis and data comparison, it is shown that the traditional calculation method of AGC frequency modulation performance index is not suitable for the calculation of AGC performance of FM market units. Aiming at the key content of the frequency modulation market for the AGC performance requirements of the unit, a suitable calculation method is proposed. Finally, the actual case that illustrates the applicability of the index calculation method in this paper is analyzed.
Energy Efficiency Measurement Method of Operating Ship Based on Data Mining
Authors: Li Fangxuan
Published: March 2021

Energy conservation in ship operation has become an important measure to reduce global greenhouse gas emissions. Therefore, it is necessary to carry out effective measurement of the energy efficiency of operating ships, so as to lay a foundation for their energy consumption. Based on this, this study designed a measurement method of energy efficiency of operating ships based on data mining. On the basis of analyzing the energy efficiency characteristics of operating ships, the paper analyzes the vessel resistance and the transfer of energy demand. Based on this, the energy efficiency measurement algorithm of operating ships is designed. By standardizing the energy consumption value of ships during navigation, the energy efficiency conversion of operating ships can be suppressed and utilized to avoid excessive energy consumption of ships during navigation and effectively control the Greenhouse gas emissions during navigation.