bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on the Application of Computer Cloud Computing Technology in Laboratory Management Based on Docker Platform
Authors: Yang Suiming , Jia Hanshuang , Bai Yun 
Published: September 2021

Abstract
The balance of experimental resources needs the help of distributed resource scheduling algorithm to integrate the discrete resources logically, and plan the scheduling and application uniformly, so as to ameliorate the utilization efficiency of resources, which provides a broad space for the application of Docker tech. Based on this, this paper first analyses the concept and connotation of Docker container platform, then studies the construction of laboratory cloud platform based on Docker platform, and finally gives the utilization effect of laboratory management cloud platform based on Docker tech.
Research on Algorithms in Platform Parametric Design Based on GC Building Design
Authors: Yuan Jupu , Ye Feng 
Published: September 2021

Abstract
Nowadays, digital technology has been applied in various fields. As far as the architectural design industry is concerned, computer-aided design and artificial intelligence simulation design have greatly improved the design technology of the architectural industry. This paper mainly elaborates the new possibilities brought by the parameterized software GC to the construction industry.
On-line Fault Diagnosis Technology and Application Based on Deep Learning of Fault Characteristic of Power Grid
Authors: Teng Shuyu , Li Jun , He Shiqi , Fan Binglong , Hu Shaofei 
Published: September 2021

Abstract
In order to solve the problem of low accuracy of devices fault diagnosis in intelligent grid dispatching control system, this paper proposes a fault diagnosis method based on deep learning theory. First, building deep learning diagnosis models for various devices by extracting the characteristics of historical fault samples and training them. Then, when the dispatching control system of smart grid detects the risk and the online diagnosis function will integrate real-time fault signals for calling the diagnosis model. Finally, the probability value of this faulty device tripping will be obtained. In this paper, an online diagnosis system based on deep learning is built and its effectiveness in improving the accuracy of trip fault identification.
Cloud Computing Resource Scheduling Based on Improved Particle Swarm Optimization Algorithm
Authors: Sun Shiyun 
Published: September 2021

Abstract
With the limited resources of Cloud computing (hereinafter referred to as CC), we must improve the quality of scheduling and cost optimization. Therefore, we must organically integrate the resource pool of servers and computers, which will distribute resources dynamically according to the needs of users. Through CC Resource scheduling (hereinafter referred to as RS), we can improve resource utilization, which will greatly reduce the use cost. Through the CC sharing architecture model, we can implement QoS according to different needs of users, which can achieve flexible resource allocation. Therefore, we need to reasonably design the CC RS and allocation model, which will improve the resource utilization. At the same time, this algorithm can share information among individuals. However, the general PSO (hereinafter referred to as PSO) algorithm has the problem of discretization. This paper proposes an Improved PSO (hereinafter referred to as FPSO) algorithm, which can better solve the RS problem. Firstly, the goal of task scheduling is proposed. Then, an FPSO algorithm is proposed. Finally, some suggestions are put forward.
Analysis of Application of Numerical Control Technology in Mechanical Manufacturing
Authors: Zhao Yong 
Published: September 2021

Abstract
The continuous development of modern information technology has made numerical control technology widely used in mechanical manufacturing. The degree of mechanization of human society has also begun to gradually increase, and mechanical equipment can be seen in almost all social production activities. Numerical control technology is an effective technology in the machining process. Judging from the actual development of China’s machinery manufacturing industry, the application of numerical control technology has greatly improved the integration and automation of machining. Starting from the current development of CNC machining technology in our country, this paper specifically analyzes the application of Numerical control technology in the machinery manufacturing industry, and prospects the future development trend of CNC machine tools in this technology.
Research on Ultrasonic Phased Array Detection Technology for Internal Defects of Automobile Ductile Iron Components Based on Computer Technology
Authors: Wang Zhe , Li Xiahui 
Published: September 2021

Abstract
With the rapid development of automobile industry, ductile iron component has become one of the most important components, which is the core components in many aspects, such as engine crankshaft, wheel hub, etc., which will be subject to extremely complex loads. Therefore, the crankshaft R region is particularly prone to fatigue cracks, which requires us to continuously strengthen the internal defect detection technology. With the development of detection technology, conventional ultrasonic technology has been unable to meet the needs of society. Through electronic scanning and acoustic beam deflection focusing, we gradually improve the Ultrasonic phased array detection technology (hereinafter referred to as UPADT), which can better realize the detection of automobile ductile iron components. UPADT is a kind of ordered excitation to the beam element, which can realize the deflection and focusing of the sound beam [1]. By combining sector scanning, electron scanning and DDF, we can achieve more beam incident modes, which will have faster detection speed and more accurate sensitivity.
Application Analysis of Image Rrecognition Technology in Artificial Intelligence
Authors: Fu Yu 
Published: September 2021

Abstract
In the process of the information age, the image recognition technology in artificial intelligence has been used in various fields as a mature technology, infiltrating into our daily life, providing convenience for various work. In the field of information processing, it can process all kinds of information more quickly by using computer instead of human to identify information. Now in our interactive life with information, there is no lack of contact between image recognition technology and us. This paper will start from the meaning and principle of image recognition technology in artificial intelligence, and analyze its development status.
Research on Key Technologies of Automatic Acceptance of OCS Four Telemetry Signals
Authors: Wang Jin , Liu Qiangxing , Geng Changzuo 
Published: September 2021

Abstract
Generally speaking, the so-called power system dispatching automation, in fact, refers to the use of computer remote communication technology and remote control technology to monitor and coordinate the operation of the power system, and then process the problems and faults in the process of operation, and ultimately achieve the automated management and operation of the power system. In view of the development of smart grid, this paper introduces a fully automatic combined wave generator based on OCS system and human-machine interface. The power dispatching automation system needs the development of automation, intelligence and self-healing, and puts forward the importance of ensuring the normalization of the dispatching automation four remote signals. And the method of efficient point-to-point debugging starting from the master control unit or the remote engine node under the condition that the device is completely unpowered, and the functional requirements of the point-to-point debugging software using the method are elaborated in detail. Through the signal transmission, the monitoring main station analyzes and processes the information centrally, and finally realizes the unattended and remote monitoring of the substation.
Realization Research of Single Chip Microcomputer and Computer Remote Communication
Authors: Zhang Chengfa , Feng Weiyan 
Published: September 2021

Abstract
In recent years, with the development of computer technology, the integration of computer remote communication technology with single-chip microcomputer is the main research direction.This research will greatly promote the development of related fields.This paper mainly focuses on the construction principle of remote communication between single-chip microcomputer and computer,at the same time, it also summarizes the realization of remote communication between single-chip microcomputer and computer.
Research on the Application of Multi-scale & Multi-sensor Fusion Algorithm in MEMS Gyroscope Data Processing
Authors: Zhu Hongjie 
Published: September 2021

Abstract
The application of multi-scale and multi-sensor data fusion algorithm in sensor data processing, especially the data fusion of MEMS gyroscope, can greatly improve the accuracy after fusion. Based on this, this paper first analyzes the concept of multi-scale multi-sensor data fusion, then studies the application status of multi-scale multi-sensor data fusion, and finally gives the application of multi-scale multi-sensor data fusion algorithm in MEMS gyroscope data processing.
Study on Photovoltaic Absorption Capacity Evaluation of Distribution Network Based on Improved FPA Computer Algorithm
Authors: Xin Angbei , Xiao Chi , Hong Fu 
Published: September 2021

Abstract
FPA algorithm is a new metaheuristic swarm intelligent optimization algorithm for solving optimization problems.In order to promote the further development of China's solar power industry, the National Energy Administration has issued a document to promote distributed photovoltaic power generation system, encouraging photovoltaic power generation to be combined with the needs of users, in cities, villages and buildings and public facilities to promote the system.When calculating the maximum surplus ratio of photovoltaic power generation, it is necessary to select a certain power supply area, clarify its power supply mode, power transmission capacity and path, and calculate the value by fitting the photovoltaic power generation and load characteristic curve.In this paper, based on the characteristics of photovoltaic power generation and the typical load, by studying the create a new index of photovoltaic power generation given abilities distribution network, in the process of dynamic change periodically given capacity of photovoltaic research evaluation, set up photovoltaic maximum surplus "than" index, according to the calculation analysis of factors affecting given distributed photovoltaic power generation capacity and its influence on construction of distribution network transformation, and puts forward Suggestions on construction of photovoltaic power generation demonstration area.
Research on the Simulation Training System of Substation Primary Equipment Inspection Based on Computer VR Technology
Authors: Dong Yinghua , Yang Xin , Yang Lu , Liu Xi , Zhang Renhui 
Published: September 2021

Abstract
At present, most of the substation primary equipment inspection simulation training system still has many shortcomings, such as the high cost of the simulation system, the simulation effect is not intuitive enough, the simulation scene is not realistic enough and so on. Based on this, this paper first analyses the concept and function of computer VR simulation tech, then studies the characteristics of substation patrol simulation training system under VR tech, and finally gives the construction strategy and process of substation primary equipment patrol simulation training system based on computer VR tech.
Research on the Function of Substation Training Simulation Patrol Function Based on Computer VR Technology
Authors: Dong Yinghua , Liu Xi , Yang Lu , Gun Mingzhen , Wang Xiujing 
Published: September 2021

Abstract
With the development of computer VR technology, our country has applied VR virtual technology to the scale of power grids.This allows the system to achieve self-intelligent inspection when no one is on duty,and the detection data will be displayed efficiently.This paper mainly studies the intelligent inspection scenarios and system processes of substations.
The bohmion method in nonadiabatic quantum hydrodynamics
Authors: Holm Darryl D , Rawlinson Jonathan I , Tronci Cesare 
Published: September 2021

Abstract
Starting with the exact factorization of the molecular wavefunction, this paper presents the results from the numerical implementation in nonadiabatic molecular dynamics of the recently proposed bohmion method. Within the context of quantum hydrodynamics, we introduce a regularized nuclear Bohm potential admitting solutions comprising a train of δ-functions which provide a finite-dimensional sampling of the hydrodynamic flow paths. The bohmion method inherits all the basic conservation laws from its underlying variational structure and captures electronic decoherence. After reviewing the general theory, the method is applied to the well-known Tully models, which are used here as benchmark problems. In the present case of study, we show that the new method accurately reproduces both electronic decoherence and nuclear population dynamics.
Influence of nano particles on the performance parameters of lube oil – a review
Authors: Singh Anoop Pratap , Dwivedi Ravi Kumar , Suhane Amit 
Published: September 2021

Abstract
This review focuses on the effect of nanoparticles in lubricating oil performance. The impact of chemical composition, particle size, and nanoparticle shape is evaluated on lubricants’ lubricating capabilities. The effects of base oils and surfactants, and dispensers are also covered. This review demonstrates a comparative study of nanoparticles based on the maximum reduction in friction and wears values and the obtained minimum coefficient of friction (COF). The above three performance parameters collectively provide a better understanding of the role of nanoparticles in lubricating oil performance.
Novel monkey mAbs induced by a therapeutic vaccine targeting the hepatitis B surface antigen effectively suppress hepatitis B virus in mice
Authors: Chen Yuanzhi , Xiang Xinchu , Qi Ruoyao , Wang Yiwen , Huang Yang , You Min , Xian Yangfei , Wu Yangtao , Fu Rao , Kang Ciming , Tang Jixian , Yu Hai , Zhang Tianying , Yuan Quan , Luo Wenxin , Xia Ningshao 
Published: September 2021

ABSTRACT

Background
We have previously obtained a mouse anti-hepatitis B surface antigen (HBsAg) antibody E6F6 with long-lasting serum HBsAg clearance effects. The E6F6 epitope-based protein CR-T3-SEQ13 (HBsAg aa 113-135) vaccination therapy in cynomolgus monkeys induced long-term polyclonal antibodies-mediated clearance of HBsAg in the HBV transgenic (HBV-Tg) mice.

Methods
We isolated monoclonal antibodies from CR-T3-SEQ13 vaccinated cynomolgus monkeys, compared their therapeutic effects with E6F6, identified their epitopes on HBsAg, determined the pharmacokinetics and studied their physical property.

Results
A panel of anti-HBsAg mAbs was generated through memory B cell stimulatory culture. Two lead monkey-human chimeric antibodies, C1-23 and C3-23, effectively suppressed HBsAg and HBV DNA in HBV-Tg mice. The humanized antibodies and humanized-mouse reverse chimeric antibodies of two antibodies exhibited comparable HBsAg clearance and viral suppression efficacy as those versions of E6F6 in HBV-Tg mice. Humanized antibody hu1-23 exhibited more efficacy HBsAg-suppressing effects than huE6F6-1 and hu3-23 in HBV-Tg mice at dose levels of 10 and 20 mg/kg. Evaluation of the binding sites indicates that the epitope recognized by hu1-23 is located in HBsAg aa 118-125 and 121-125 for hu3-23. Physical property study revealed that hu1-23 and hu3-23 are stable enough for further development as a drug candidate.

Conclusions
Our data suggest that the CR-T3-SEQ13 protein is a promising HBV therapeutic vaccine candidate, and hu1-23 and hu3-23 are therapeutic candidates for the treatment of chronic hepatitis b. Moreover, the generation of antibodies from the epitope-based vaccinated subjects may be an alternative approach for novel antibody drug discovery.
Explaining Ethnic Differentials in COVID-19 Mortality: A Cohort Study
Authors: Batty G David , Gaye Bamba , Gale Catharine R , Hamer Mark , Lassale Camille 
Published: September 2021

Abstract
Ethnic inequalities in coronavirus disease 2019 (COVID-19) hospitalizations and mortality have been widely reported, but there is scant understanding of how they are embodied. The UK Biobank prospective cohort study comprises approximately half a million people who were aged 40–69 years at study induction, between 2006 and 2010, when information on ethnic background and potential explanatory factors was captured. Study members were prospectively linked to a national mortality registry. In an analytical sample of 448,664 individuals (248,820 women), 705 deaths were ascribed to COVID-19 between March 5, 2020, and January 24, 2021. In age- and sex-adjusted analyses, relative to White participants, Black study members experienced approximately 5 times the risk of COVID-19 mortality (odds ratio (OR) = 4.81, 95% confidence interval (CI): 3.28, 7.05), while there was a doubling in the South Asian group (OR = 2.05, 95% CI: 1.30, 3.25). Controlling for baseline comorbidities, social factors (including socioeconomic circumstances), and lifestyle indices attenuated this risk differential by 34% in Black study members (OR = 2.84, 95% CI: 1.91, 4.23) and 37% in South Asian individuals (OR = 1.57, 95% CI: 0.97, 2.55). The residual risk of COVID-19 deaths in ethnic minority groups may be ascribed to a range of unmeasured characteristics and requires further exploration.
Identification of Mep1a as a susceptibility gene for atherosclerosis in mice
Authors: Grainger Andrew T. , Pilar Nathanael , Li Jun , Chen Mei-Hua , Abramson Ashley M. , Becker-Pauly Christoph , Shi Weibin 
Published: September 2021

Abstract
Atherosclerosis is the underlying cause of heart attack, ischemic stroke and peripheral arterial disease, and genetic factors involved remain mostly unidentified. We previously identified a significant locus on mouse chromosome 17 for atherosclerosis, Ath49, in an intercross between BALB/c and SM strains. Ath49 partially overlaps in the confidence interval with Ath22 mapped in an AKR × DBA/2 intercross. Bioinformatics analysis prioritized Mep1a, encoding meprin 1α metalloendopeptidase, as a likely candidate gene for Ath49. To prove causality, Mep1a−/−Apoe−/− mice were generated and compared with Mep1a+/+Apoe−/− mice for atherosclerosis development. Mep1a was found abundantly expressed in atherosclerotic lesions but not in healthy aorta and liver of mice. Mep1a−/− Apoe−/− mice exhibited significant reductions in both early and advanced lesion sizes. Loss of Mep1a led to decreased necrosis but increased macrophage and neutrophil contents in advanced lesions, reduced plasma levels of CXCL5 and an oxidative stress biomarker. In addition, Mep1a−/− mice had significantly reduced triglyceride levels on a chow diet. Thus, Mep1a is a susceptibility gene for atherosclerosis and aggravates atherosclerosis partially through action on oxidative stress and inflammation.
Sporadic occurrence of recent selective sweeps from standing variation in humans as revealed by an approximate Bayesian computation approach
Authors: Laval Guillaume , Patin Etienne , Boutillier Pierre , Quintana-Murci Lluis 
Published: September 2021

AbstractDuring their dispersals over the last 100,000 years, modern humans have been exposed to a large variety of environments, resulting in genetic adaptation. While genome-wide scans for the footprints of positive Darwinian selection have increased knowledge of genes and functions potentially involved in human local adaptation, they have globally produced evidence of a limited contribution of selective sweeps in humans. Conversely, studies based on machine learning algorithms suggest that recent sweeps from standing variation are widespread in humans, an observation that has been recently questioned. Here, we sought to formally quantify the number of recent selective sweeps in humans, by leveraging approximate Bayesian computation and whole-genome sequence data. Our computer simulations revealed suitable ABC estimations, regardless of the frequency of the selected alleles at the onset of selection and the completion of sweeps. Under a model of recent selection from standing variation, we inferred that an average of 68 (from 56 to 79) and 140 (from 94 to 198) sweeps occurred over the last 100,000 years of human history, in African and Eurasian populations, respectively. The former estimation is compatible with human adaptation rates estimated since divergence with chimps, and reveals numbers of sweeps per generation per site in the range of values estimated in Drosophila. Our results confirm the rarity of selective sweeps in humans and show a low contribution of sweeps from standing variation to recent human adaptation.
A SIMPLE AND NOVEL APPROACH TO STUDY KINETICS AND ESTIMATE RADIATION DOSES FROM INTERNALLY ADMINISTERED RADIOPHARMACEUTICALS USING AN EXTERNAL DOSE MEASUREMENT SYSTEM
Authors: Nautiyal Amit , Mondal Tanmoy , Mitra Deepanjan , Goel Alpana , Dey Subrata Kumar , Kaushik Aruna 
Published: September 2021

AbstractVarious methods have been reported to study radiotracer kinetics and make internal dosimetry feasible in the routine clinical nuclear medicine practice. The aim of the present study was to quantify cumulative activity and organ doses using an indigenously designed and fabricated external dose measurement system. The measurement was demonstrated on patients undergoing whole-body (WB) 18F-FDG (Fluorine-18-fluorodeoxyglucose) direct positron emission tomography/computed tomography investigations. An external dose measurement system comprising of an ionisation chamber-survey meter and the movable focussing collimator was used to quantify the uptake of 18F-FDG in liver and brain. Cumulative activity and normalised cumulative activity in these organs were calculated. The results were validated by performing measurements on a phantom uniformly filled with known activity of 18F-FDG.The difference in the absorbed dose estimated with and without collimator was statistically significant (p &lt; 0.05). The external dose measurement technique is relatively novel, convenient and reliable for the assessment of internal absorbed dose of organs.