bluuebunny/crossref_metadata_2025_split huggingface dataset:
Spin excitations in the Kitaev-Heisenberg model: Popov-Fedotov fermionization
Authors: Nga Pham Thi Thanh , Hinh Nguyen Van , Thang Nguyen Toan 
Published: June 2021

Abstract
We study a Kitaev-Heisenberg model of spin 1/2 using the Popov-Fedotov fermionization proccedure. We derive the free energy of the quantum spin system on a Bravais lattice within one-loop approximation with exact on-site constraint. We discuss the obtained magnetic excitation spectrum for a particular case of square lattice in relation to the data derived by the equation of motion method and with the result of the linear spin wave theory in Holstein - Primakoff representation.
Application of vibro-acoustic methods in failure diagnostics
Authors: Kriston B J , Jálics K 
Published: June 2021

Abstract
The present study is concerned with the presentation of diagnostic strategies and methods based on vibro-acoustic signals that are able to check the operation of mechanical structures (e.g. internal combustion engines) or to detect faults on test bench during operation. The main goal of this study is to summarize and review the state-of-the art monitoring procedures and diagnostic methods based on vibrational and acoustical signals by the help of literature sources. A further goal is to familiarize the reader with the theoretical background of these procedures and concepts adjusted to the topic. The paper seeks to illustrate the application of each methods through practical examples, so it may be useful for those who wish to understand what kind of fault can be detected by using vibro-acoustic diagnostic systems. Last, but not least, the arose difficulties and limitations associated with use of this methods are mentioned. This paper is focusing principally on some of signal - based methods in time - and frequency domain, such as Fast Fourier Transformation, Short Time Fourier Transformation, orbit portraits, symmetrized dot pattern method and time synchronous average.
GPU based parallel optimization of members of a truck floor
Authors: Nagy Sz. , Jármai K. 
Published: June 2021

Abstract
Grillage - formally lattice - structures are made of longitudinal beams and cross members. Grillages can model vehicle frames, bus floor frames or an entire vehicle. The optimization of the cross members of this structure is shown in this article. The optimization method is a nature-inspired metaheuristic evolutionary method, the flower pollination algorithm. The target function is the total weight and cost of the optimized cross-member. Unknowns are typical cross-sectional dimensions of the cross-member. The design constraints considered are local buckling of web plate and flanges, and fatigue. The calculation was performed assuming the usage of aluminium alloys. In this paper, we propose a possible parallelization method, for computation of base algorithm and one group of fitness functions. The results show, that parallel computations can lead to significant reduction in computational time, if the population size is large and the number of variables are also large.
Probabilistic Uncertainty Analysis of Reliability of Systems with Complex Interconnections
Authors: Pokorádi L. 
Published: June 2021

Abstract
In the present age, modern technical systems, such as vehicles, should have reliability requirements. The sensors and their networks used in modern technical systems can be modelled as a System with Complex Interconnections (SwCI). Most of the real SwCI in the automotive industry are sensory, as Bridge Structure System (BSS). The BSS is widely used as an example in the field of system reliability analysis. The aims of this paper are to apply the True Table Method (TTM) and the Linear Sensitivity Model of System Reliability (LSMoSR), to investigate uncertainties of reliability of BSS in different cases.
The Importance of Virtual Immersion in the Rapid Prototyping of Industrial Products
Authors: Ghinea M. , Deac G.C. , Deac C.N. , Nita F.A. 
Published: June 2021

Abstract
The prototype has played a major role in the design of industrial products since the beginning. The series production was never launched until the designers validated the new product by studying in detail a prototype made identical to the ones that would have come out on the tape. Rapid prototyping, especially through 3D Printing, for small and medium-sized products, managed to improve this design phase by the quality of the prototype obtained and by the short times of its realisation. Recently, virtual immersion tends to replace 3D Printing technology (or work together), the prototype made by this technology offering the designer many more features of the designed product. As a concept, Virtual Reality Aided Design (VRAD) significantly reduces production times, costs and especially allows the rapid modification of the prototype, which is impossible to achieve in 3D Printing. Our article presents the study of a Compressed Air Vehicle (CAV) prototype participating in the international academic competition PNEUMOBILE; it is a study carried out by the UPBAIR team of UPB through virtual immersion. We believe that the study can be extended to the prototyping of any industrial product, adding that our CAV prototype is quite simplistic and quite far from the complexity of a series car.
Design of a measuring system for the testing of pneumatic powertrains
Authors: Szántó Attila , Veszelszki K , Szántó András , Juhász Gy. , Sziki G Á 
Published: June 2021

Abstract
This publication presents a new generation measuring system, designed and constructed for the testing of pneumatic powertrains, at the Faculty of Engineering of the University of Debrecen, as well as its design and assembly process. It also describes test measurements applying the measuring system together with their results. During the test measurements, the pressure in the cylinder and in other parts of the system were measured, as well as the kinematic functions of the piston, during the operation of the powertrain under loaded conditions. Finally, conclusions are drawn, and further development directions are set.
A dynamic model of a pneumobile vehicle
Authors: Szakács Tamás 
Published: June 2021

Abstract
Vehicle dynamics modelling is a tool in the hands of design engineers, that saves time and cost during the development phase. By using the model for simulation, a real vehicle and the measurements made on it can be generated; optimizations can be done with automated algorithms, sensors and measurements can be replaced, and the development process is simplified. However, for this to be feasible, it is necessary to develop a suitable model, that describes reality, with sufficient accuracy. The paper presents a model, suitable for running dynamic simulations of a pneumatically driven vehicle [1], and [2].
Skilful decadal predictions of subpolar North Atlantic SSTs using CMIP model-analogues
Authors: Menary Matthew B , Mignot Juliette , Robson Jon 
Published: June 2021

Abstract
Predicting regional climate variability is a key goal of initialised decadal predictions and the North Atlantic has been a major focus due to its high level of predictability and potential impact on European climate. These predictions often focus on decadal variability in sea surface temperatures (SSTs) in the North Atlantic subpolar gyre (NA SPG). In order to understand the value of initialisation, and justify the high costs of such systems, predictions are routinely measured against technologically simpler benchmarks. Here, we present a new model-analogue benchmark that aims to leverage the latent information in uninitialised climate model simulations to make decadal predictions of NA SPG SSTs. This system searches through more than one hundred thousand simulated years in Coupled Model Intercomparison Project archives and yields skilful predictions in its target region comparable to initialised systems. Analysis of the underlying behaviour of the system suggests the origins of this skill are physically plausible. Such a system can provide a useful benchmark for initialised systems within the NA SPG and also suggests that the limits in initialised decadal prediction skill in this region have not yet been reached.
Establishing sustainable sediment budgets is critical for climate-resilient mega-deltas
Authors: Vasilopoulos G , Quan Q L , Parsons D R , Darby S E , Tri V P D , Hung N N , Haigh I D , Voepel H E , Nicholas A P , Aalto R 
Published: June 2021

Abstract
Many of the world’s major river deltas face a sustainability crisis, as they come under threat of increases in salinity and the extent of tidal zones forced by combinations of sea-level rise, changes in river discharge and channel geometry. The relative contribution of these factors to future increases in tidal extent remains unconstrained, with most prior work emphasising the role of climate-driven sea-level rise. Here we use new field data from the Mekong delta to measure variations of river discharge and changes of channel geometry, and project them into the future. We combine these with projections of future sea-level rise into a 2D hydrodynamic numerical model and quantify the influence of the different driving factors on future tidal extension into the delta. We show that within the next two decades, tidal extension into the Mekong delta will increase by up to 56 km due to channel deepening (92%), dominantly driven by anthropogenic sediment starvation. Furthermore, even under strong mitigation scenarios, sediment starvation still drives a long-term commitment to future tidal extension. Specifically, by 2098 eustatically rising sea-levels are predicted to contribute only modestly to the projected extension. These findings demonstrate the urgent need for policy makers to adopt evidence-based measures to reverse negative sediment budgets that drive tidal extension into sediment starved deltas.
Classification, inference and segmentation of anomalous diffusion with recurrent neural networks
Authors: Argun Aykut , Volpe Giovanni , Bo Stefano 
Published: June 2021

Abstract
Countless systems in biology, physics, and finance undergo diffusive dynamics. Many of these systems, including biomolecules inside cells, active matter systems and foraging animals, exhibit anomalous dynamics where the growth of the mean squared displacement with time follows a power law with an exponent that deviates from 1. When studying time series recording the evolution of these systems, it is crucial to precisely measure the anomalous exponent and confidently identify the mechanisms responsible for anomalous diffusion. These tasks can be overwhelmingly difficult when only few short trajectories are available, a situation that is common in the study of non-equilibrium and living systems. Here, we present a data-driven method to analyze single anomalous diffusion trajectories employing recurrent neural networks, which we name RANDI. We show that our method can successfully infer the anomalous exponent, identify the type of anomalous diffusion process, and segment the trajectories of systems switching between different behaviors. We benchmark our performance against the state-of-the art techniques for the study of single short trajectories that participated in the Anomalous Diffusion (AnDi) challenge. Our method proved to be the most versatile method, being the only one to consistently rank in the top 3 for all tasks proposed in the AnDi challenge.
Research on the Digital Twin Model of Fuchunjiang Hydropower Plant Based on 3D Laser Scanning Technology
Authors: Yu Hongqun , Hou Jinjiao , Xu Hepeng 
Published: June 2021

Abstract
With the development and application of 3D laser scanning technology, the efficiency and accuracy of 3D reverse modeling have been greatly improved. In this paper, 3D laser scanning technology is used to establish the 3D model of the hydropower house and main equipments of Fuchunjiang Hydropower Plant, which can truly restore the internal structure and equipments layout of the power station, and solve the difficulties in realizing the digital power station construction due to incomplete or missing drawings of the old power station. The 3D model of the hydropower house and main equipments of Fuchunjiang Hydropower Plant established in this paper not only forms the valuable virtual assets of the power station, but also lays the foundation for flood control emergency plan simulation and 3D maintenance training of the power station, which has a wide field of application with good prospects.
Microbiorhodopsin a powerful candidate for a photosensitizer of the TiO2-based pollutant degradation system
Authors: Melissa  , Bayaritu  , Yang Yuxia , Liu Kai , Meng Chaoluo 
Published: June 2021

Abstract
Bacteriorhodopsin (BR) is a light driven proton pump firstly found in the membrane of Halobacterium salinarum. Because of its high quantum efficiency, high stability under harsh conditions and many interesting photochemical properties, BR was shown to be able to enhance the performance of TiO2 materials in TiO2-based solar cell, photocatalytic water splitting and photocatalytic degradation of pollutants. However, high cost of the preparation of the BR restricts its industrial application. Although numerous attempts have been made, E. coli-expression system of the BR, which is most economic and fast way to prepare proteins, has not been developed yet. In the present work, we successfully expressed BR homolog, Archaerhodopsin (AR) found in a Halorubrum species by E. coli-expression system. The E. coli expressed AR retained its photoactivity and showed similar photoreaction properties as that of BR. The E. coli expressed AR might be an excellent candidate for a photosensitizer of the TiO2-based solar energy conversion system.
Carbon storage technologies applied to rethinking building construction and carbon emissions
Authors: Chicaiza Cristhian , Bouzerma Myriam , Diéguez-Santana Karel , Chicaiza Ángel , Navarrete Vanessa , Romero José 
Published: June 2021

Abstract
This study has been conducted to offer an insight into the prospect of the building industry decarbonization. The paper aims to analyze the carbon impact of material production, transportation, and construction phases from the construction site perspective in the first section. The focus was on modern alternatives that would allow engineers to include Carbon Capture and Storage (CCS) technologies that could meet the expectations and eventually be a reliable alternative to sustainable economic development. One of the main reasons for climate change is the increasing concentrations of Greenhouse Gases (GHG). There are two ways to reduce the GHG emissions in the atmosphere: first, reducing directly and voluntarily the emissions by stopping polluting activities, second, by capturing and storing the emissions. Among the findings, the first proposed solution was decreasing the reliance on fossil carbon; the second proposed alternative, CCS, is more related to reduce CO2 emissions from energy and other energy-intensive sectors. The formulas and calculations of the Life Cycle Assessment (LCA) were applied in a case study. Technical solutions should be accompanied by legal regulations and policies, socio-cultural considerations. This paper expects to raise the awareness of the readers of the construction sectors related to their GHG emissions participation.
The Effect Analysis Based on Least Square Method on Meteorological Factors to Residential Electricity Consumption in Fujian Province
Authors: Xiaolan Wu , Meina Tang 
Published: June 2021

Abstract
For the purpose of the effect analysis on meteorological factors to residential electricity consumption in Fujian Province, this article used the lowest, highest, and average temperatures and other meteorological factors from January 2019 to June 2019 to process the analysis, building the multiple nonlinear regression. And it also identified the abnormal data from the residual analysis on regression equation coefficients resulting from least square method. Data repair based on the identification was at last applied to testing regression results.
Effects of Light on Callus Multiplication of Actinidia Arguta
Authors: Sui Liyun , Peng Mingchao , Kong Lingling , Que Wenjie , Yuan Hui , Zhang Yong 
Published: June 2021

Abstract
In order to screen out the best culture conditions for the growth of callus of Actinidia arguta, leaf callus and stem callus were used to explore the effect of different light intensity on callus multiplication. The results showed that, light could promote the synthesis of anthocyanins in callus, and low light intensity could keep the callus to maintain a healthy and physiological state with green color and compact structure. In addition, there was a negative correlation between light intensity and callus multiplication, and the stronger the light intensity, the more severe the callus browning. The optimal culture condition for leaf callus multiplication was dark environment, the optimal culture condition for stem callus multiplication was dark environment or 720 Lx light intensity.
Research and Application of Segmentation Unblocking Technology for Horizontal Well Screen
Authors: Shao Yanfeng , Liu Jianfeng , Zhao Zhi , Zhang Zufeng , Zhu Huojun , Dong Yanan 
Published: June 2021

Abstract
Horizontal well screen completion process has its own advantages, but there are also some problems, in which the screen blockage seriously affects its efficacy. However, due to various factors (such as heavy components in crude oil plugging the sand filter), the implementation of conventional pickling and sand washing operations is not ideal. In response to this problem, this paper proposes a new unblocking technology - segmentation unblocking technology for horizontal well screen. Firstly, on the basis of studying principle of the technology, optimization of water jet method and hydraulic sanding nozzle, nitrogen foam water jet experiment and water jet construction displacement experiment are carried out for horizontal well screen, which laying the foundation for application of segmentation unblocking technology. Further, horizontal well screen segmentation unblocking experiment and oilfield application are carried out. Optimization results of water jet method show that, For large displacement construction with still wellhead, whole section construction selects type of inlet liquid through annulus between oil pipe and casing pipe and outlet liquid through oil pipe. For small displacement construction with frequent dynamic wellhead, segmentation construction selects type of inlet liquid through oil pipe and outlet liquid through annulus between oil pipe and casing pipe. Optimization results of hydraulic sanding nozzle show that Streamlined nozzle is better than nozzle with iso variable. Experiment results of horizontal well screen segmentation unblocking show that, segmentation unblocking technology can effectively improve productivity of horizontal well and oilfield application achieved good results. Five wells were shut-in, periodic shut-in or low production before segmentation unblocking. After segmentation unblocking, daily oil increment can reach 23.57 t, and interval cumulative oil increment can reach 4756 t.
Analysis of floating effect of groundwater on built underground structure
Authors: He Luhao , He Zhifeng 
Published: June 2021

Abstract
With the continuous transformation of cities in China, urban land resources are becoming increasingly tense and traffic is becoming increasingly crowded. By building underground buildings such as subways, underground passages and underground shopping malls, we can not only make up for the shortage of existing space, but also rationally plan the urban layout. Therefore, it has become the first choice of urban construction in China. With the diversification of layout forms, the underground structure is increasingly developed in the depth direction, which highlights the anti-floating problem of underground structure. At present, the anti-floating design and construction of underground structures are not clearly defined by regulations in China, only the description of water buoyancy and requirements. In the actual underground structure engineering, the floating problem of underground structure is not uncommon. Therefore, how to design anti-floating measures is studied to ensure the reasonable application of anti-floating measures in the construction process.
Changes in the footprint of grey water from 2005 to 2017 in Fuzhou City
Authors: Cai Xiaohe , Wu Yonghong , Jin Shaofei 
Published: June 2021

Abstract
Based on the concept of grey water footprint, this study quantified the pollutants generated by agricultural, industrial and tertiary industries in Fuzhou City from 2005 to 2017 using the diluted water demands. The results showed: 1) the mean agricultural grey water footprint of Fuzhou City was 15.88×108 m3/a at the study period, which is about 16.69% of the water consumption; 2) among three sectors, grey water footprint in the living sectorsis the largest, and agricultural grey water footprint is the smallest; 3) the grey water footprint of Fuzhou City shows a declining trend from 2005 to 2017, with the agricultural, industrial and living sectors decreasing by 24.92%, 60.78% and 17.11%, respectively; 4) the footprint of Fuzhou City’s grey water showed a downward trend, while the water quality in urban areas also showed a downward trend. The footprint of grey water is greater than the amount of water resources, implying the limited water resources in Fuzhou City can not fully dilute the pollutants for the environmental water quality standards.
Capacity Optimal Configuration of Wind-Hydrogen Low Carbon Energy System
Authors: Cao Jilei , Yuan Tiejiang , Teng Yue 
Published: June 2021

Abstract
Wind power is the most promising renewable energy source, and hydrogen energy is a clean energy carrier. The combination of the two will provide a feasible solution for achieving carbon neutrality. We combine natural gas and carbon capture systems with typical wind-hydrogen coupling systems to improve system economy, and hydrogen power generation is not considered. Oxygen-enriched combustion technology uses the oxygen obtained from hydrogen production to realize the coupling of natural gas and wind energy hydrogen production systems, which improves the efficiency of gas turbines and reduces Energy consumption of carbon capture. Then, with the goal of minimizing the annualized cost including the cost of investment, maintenance, operation and wind curtailment penalty, and taking wind curtailment, carbon capture, gas storage, and power balance as constraints, construct a wind-hydrogen low carbon energy system optimal configuration model. Finally, based on CPLEX to simulate the energy supply system in a certain area, the optimal configuration plan of the system’s wind power, gas storage capacity, electrolytic cell.
Research on assessments of Water-Energy-Food security
Authors: Li Chenxin 
Published: June 2021

Abstract
This article which is based on the analysis of the W-E-F coupling relationship constructs W-E-F security assessment index system and adopts coupling method of entropy method and analytic hierarchy process to define the weights of each index. On the basis of the index system, the article makes an assessment on the security of W-E-F system. Finally, the article takes Inner Mongolia as an example to carry out empirical research on W-E-F system security assessment. This research can provide reference for water resources, energy and food management decision-making.