bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dynamic Analysis of the influence of the Rotor Centroid Offset of Gyrowheel
Authors: Liu Xiaokun , Yang Guanglie , Mo Chaoming , Tan Minglang , Gu Dongqing , Song Bin , Wu Shufan 
Published: February 2022

Abstract
Gyrowheel is a new electromechanical servo device which can realize the integration of spacecraft attitude control and attitude measurement. Due to the existence of machining and assembly errors, there must be a deviation between the rotor centroid of the gyrowheel and the support center, that is, the centroid offset. Firstly, to solve this problem, the dynamic modeling of rotor center of mass offset is carried out from the perspective of vector mechanics by using D'Alembert principle. Secondly, the established dynamic model is simplified, and the influence of rotor center of mass offset on the micro vibration of gyrowheel is analyzed. Finally, the correctness of this method is verified by simulation.
Improvement and Research of Collaborative Filtering Algorithm Based on Penalty Factor
Authors: Li Panying , Han Yuxuan , Wen Xiumei , Meng Fanxing 
Published: February 2022

Abstract
The rapid development of the Internet has pushed society into the era of information explosion, and people are faced with more and more information screening and choices. A recommendation system is an effective way to process massive amounts of information, and it is also a tool that can make recommendations based on user behavior. Traditional collaborative filtering algorithms generally use the cosine similarity formula to calculate the similarity between users or items to make recommendations. Due to the popularity of the Internet, more and more popular items have appeared. The appearance of popular items not only affects the recommendation results, but also fails to reflect the real needs of users. This paper proposes an improved formula for cosine similarity with a penalty factor, which can restrain the influence of popular items on the recommendation result. Finally, the Movie Lens data set is used to verify that the recommended performance indicators have been improved to a certain extent.
Overview of Energy Consumption Optimization in Mobile Edge Computing
Authors: Hu Bingyi , Gao Jixun , Hu Yanxin , Wang Huaichen , Liu Jialei 
Published: February 2022

Abstract
The energy consumption of traditional mobile network is mainly reflected by task calculation and data transmission. The edge server in mobile edge computing is placed at the edge of the network closer to the mobile terminal device. When the computing resources of the mobile terminal device are insufficient, the task can be offloaded to the edge server for processing. This paper discusses the energy consumption optimization in the Mobile Edge Computing (MEC) system, which is composed of the edge server and mobile devices at the edge of the network. Firstly, the system model of MEC is elaborated. Secondly, the energy consumption optimization for mobile devices and base stations is studied. Which oriented to the mobile device energy consumption optimization is divided into multiple users - single MEC server scenarios of energy consumption optimization and multiple users - the energy optimization of MEC server scenario, and enumerate the oriented to the base station and a new method for the optimization of energy consumption for mobile equipment energy consumption optimization method, in addition to the insufficiencies of these methods and the prospect of the future are also explained.
The Improved Quantum Secret Sharing Protocol Based on Grover Algorithm
Authors: Yu Zhuo 
Published: February 2022

Abstract
Quantum secret sharing(QSS) is a cryptographic protocol based on the uncertainty principle and quantum no-cloning theorem and is an essential aspect in quantum computing. This paper describes the Grover search algorithm and how to improve QSS protocol by Grover Algorithm. The QSS based on the Grover algorithm is more secure and easier to operate compared to old QSS protocols. Some scientists improved the security of the first QSS protocol based on QSA by changing the check mode. After that, a protocol with quite different procedures was proposed. The improved one enhances the feasibility of the protocol and it could also make sure that the communication is secure from the attacks.
Ecological resilience: what to measure and how
Authors: Dakos Vasilis , Kéfi Sonia 
Published: February 2022

Abstract
The question of what and how to measure ecological resilience has been troubling ecologists since Holling 1973s seminal paper in which he defined resilience as the ability of a system to withstand perturbations without shifting to a different state. This definition moved the focus from studying the local stability of a single attractor to which a system always converges, to the idea that a system may converge to different states when perturbed. These two concepts have later on led to the definitions of engineering (local stability) vs ecological (non-local stability) resilience metrics. While engineering resilience is associated to clear metrics, measuring ecological resilience has remained elusive. As a result, the two notions have been studied largely independently from one another and although several attempts have been devoted to mapping them together in some kind of a coherent framework, the extent to which they overlap or complement each other in quantifying the resilience of a system is not yet fully understood. In this perspective, we focus on metrics that quantify resilience following Holling’s definition based on the concept of the stability landscape. We explore the relationships between different engineering and ecological resilience metrics derived from bistable systems and show that, for low dimensional ecological models, the correlation between engineering and ecological resilience can be high. We also review current approaches for measuring resilience from models and data, and we outline challenges which, if answered, could help us make progress toward a more reliable quantification of resilience in practice.
The two-point correlation function in the six-vertex model
Authors: Belov Pavel , Reshetikhin Nicolai 
Published: February 2022

Abstract
We study numerically the two-point correlation functions of height functions in the six-vertex model with domain wall boundary conditions. The correlation functions and the height functions are computed by the Markov chain Monte-Carlo algorithm. Particular attention is paid to the free fermionic point (Δ = 0), for which the correlation functions are obtained analytically in the thermodynamic limit. A good agreement of the exact and numerical results for the free fermionic point allows us to extend calculations to the disordered (|Δ| < 1) phase and to monitor the logarithm-like behavior of correlation functions there. For the antiferroelectric (Δ < −1) phase, the exponential decrease of correlation functions is observed.
Derivation of Liouville-like equations for the n-state probability density of an open system with thermalized particle reservoirs and its link to molecular simulation
Authors: Klein Rupert , Delle Site Luigi 
Published: February 2022

Abstract
A physico-mathematical model of open systems proposed in a previous paper (Delle Site and Klein 2020 J. Math. Phys. 61 083102) can represent a guiding reference in designing an accurate simulation scheme for an open molecular system embedded in a reservoir of energy and particles. The derived equations and the corresponding boundary conditions are obtained without assuming the action of an external source of heat that assures thermodynamic consistency of the open system with respect to a state of reference. However, in numerical schemes the temperature in the reservoir must be controlled by an external heat bath otherwise thermodynamic consistency cannot be achieved. In this perspective, the question to address is whether the explicit addition of an external heat bath in the theoretical model modifies the equations of the open system and its boundary conditions. In this work we consider this aspect and explicitly describe the evolution of the reservoir employing the Bergmann–Lebowitz statistical model of thermostat. It is shown that the resulting equations for the open system itself are not affected by this change and an example of numerical application is reviewed where the current result shows its conceptual relevance. Finally, a list of pending mathematical and modelling problems is discussed the solution of which would strengthen the mathematical rigour of the model and offer new perspectives for the further development of a new multiscale simulation scheme.
Spatial Distribution of Groundwater Quality Parameters in Al-Najaf City Using GIS and Geostatistics Techniques
Authors: Saleh Hadeel A Al , Saify Samir , Othman Nariman Y 
Published: February 2022

Abstract
The scarcity of water resources in arid areas, as well as the impact of agricultural and human activities on groundwater quantity and quality, need a greater emphasis on these resource quality evaluations. In this study, the groundwater quality in the governorate of Al-Najaf was investigated using geostatistical methods based on the kriging interpolation approach to interpolate values in regions where real data was not available, also groundwater samples were evaluated based on a variety of qualitative parameters. Linear Gaussian, exponential, stable, and quadratic were the semivariogram models the study examined, and archGIS software was extensively utilized to map the investigated data. The study concluded that the groundwater in this area is unsuitable neither for drinking purposes nor in most of the industries according to the Iraqi specifications. Wilcox and United States Salinity Laboratory (USSL) diagrams were used to analyse the accessible water wells in the area. The diagrams depicted that 95.8 percent of the available well water in the research region is unsuitable for irrigation due to the extremely high salinity and continued application of such water may result in the development of salt soils. Spatial examination of groundwater revealed serious problems with almost all groundwater parameters in terms of water appropriateness for drinking, irrigation, and other purposes.
Bioadsorption by Coffee Leaves in Poluted River Mantaro Water at Central Peru
Authors: Vitor-Ramos Y.K. , Ochoa-Escobar E.J. , Moggiano-Aburto N. 
Published: February 2022

Abstract
The biosorption of heavy metals is the property of some types of biomass, a process that captures or accumulates metal ions, allowing their removal or immobilization. The present study was carried out in the Mantaro river, following the recommendations of the ANA (National Water Authority), the experimental process was carried out in the laboratories of the Universidad Continental and the Volcan Mining Company, for this purpose the drying of the coffee leaves of the species (Caturra-arabic coffea) and its subsequent grinding, then it was added in 4 different proportions for samples of 250 ml of water. The first results showed that the water contains lead (0.1 mg/l), copper (4.12 mg/l), iron (0.01 mg/l) and zinc (0.42 mg/l) with a pH (7.53) and electrical conductivity (67μS).which are not recommended according to the Environmental Quality Standards, after adding the coffee leaf allowing it to act in a period of 48 hours, the best result was with the second sample adsorbing lead (0%), copper (95.15%), iron (0%) and zinc (52.38%) with a pH of 7.05 and electrical conductivity (664μS). Coffee leaves were more effective in reducing copper by up to 95.15%.
Blockchain Technology and Green Supply Chain Management (GSCM) – Improving Environmental and Energy Performance in Multi-echelon Supply Chains
Authors: Asif Muhammad Salman , Gill Harsimran 
Published: February 2022

Abstract
In this competitive and technology driven world, businesses are striving to gain benefits of environmental sustainability and energy conservation by implementing the latest technologies in their supply chains. A promising way of evaluating the environmental performance of a product or a process is Life Cycle Assessment (LCA) modelling, but the reliability of LCA results is mostly compromised due to the lack of real data from upstream and downstream supply chains. Our research aim is to drive LCA modelling through Blockchain Technology (BCT) and internet-of-things which have the capability to record reliable, transparent, and secure data from across the supply chain. The modified LCA model will provide various industries with the quantified benefits of BCT in terms of industrial emissions reduction. This conference paper reflects the 1st stage of research where we carried out a detailed literature review on potential use of blockchain technology in green supply chain management and based on the findings, we developed an integrative framework architecture for the supply chain of a supermarket product. In the next phase, the integration of BCT and LCA will be studied in food supply chains using a supermarket case study of Walmart-IBM developed blockchain consortium.
Sustainable Slow-Pyrolysis Simulation of 12 Lignocellulosic Bio-wastes: CO2 Emission, Energy, and Water Consumption
Authors: Zalazar-Garcia D , Fernandez A , Rodriguez-Ortiz L , Rodriguez R , Mazza G 
Published: February 2022

Abstract
The development and increase of the agro-industrial activity generate bio-waste that represents significant quantities and causes environmental impacts, as residual effluents and solid wastes. These bio-wastes can be converted into different products through the pyrolysis processes (biochar, bio-oil, and gas). In this work, the pyrolysis at 673, 773, and 873 K of 12 types of bio-waste characterized by their elemental composition was assessed through the simulation process. Cape Open to Cape Open Simulator (COCO) free software was used in simulations. Thus, the biochar, bio-oil, and gas yields were predicted. Also, the energy, water consumption, and CO2 emission were calculated for each type of bio-waste. The marc and the stalk of white grape presented the highest biochar and bio-oil yields (30.7 and 53.1 %wt) at 673 K. The pistachio green shell presented the highest gas yield, 53.7 %wt at 873 K. The maximum energy consumption and CO2 emissions founded were 13.72 kWh and 3.72 kg/h for the stalk of white grape at 873 K respectively, while the lowest energy consumption and CO2 emission were 9.22 kWh and 2.31 kg/h for plum pits at 773 K respectively. The highest water consumption was 25.86 kg/h for the stalk of red grape at 773 K, while the lowest value was 14.30 kg/h for plum pits at 773 K.
Analysing an Energy Sectoral Specialisation Pattern in Southern European Union Countries
Authors: Borozan Dj , Borozan B 
Published: February 2022

Abstract
Exploring the sectoral energy structure of Southern European Union (EU) countries of the Mediterranean region, the paper investigates the changes that have occurred in the distribution of the major energy end-use sectors in comparison to the EU average. To that end, the indices of sectoral specialisation were calculated, and then the behavioural pattern of energy users was analysed. The results indicate a relatively low sectoral heterogeneity of final energy consumption in the sample of interest, meaning that the structure of energy end-use sectors seems to show a rather comparable development trend and is quit homogeneous compared to the EU average. The degree of economic specialisation has become gradually lower over time. The stability of this trend is confirmed by using regression in Galton’s sense. The marginal values of the sectoral specialisation index suggest that the existing homogeneity in the sectoral structure is mainly related to the level of development, geographical proximity and spill-over effect as well as the size of an economy. Indeed, countries such as Malta and Cyprus were found to have a higher degree of specialisation than Italy or France.
The Influence of the Air Temperature on the CO2 Emissions by Occupants Indoors
Authors: Angelova R A , Velichkova R , Markov D , Stankov P 
Published: February 2022

Abstract
Data in human physiology have shown that the generation of metabolic CO2 in the temperature interval 18-28 °C could vary only because of the temperature of the environment. Our study investigated the influence of two air temperatures (23 °C and 27 °C) on the CO2 concentration in the classroom. Sixteen volunteers participated in the field study. It was found that the change in the room air temperature from 27 °C to 23 °C provoked a statistically proven change in the CO2 concentration. The air relative humidity also shifts: it increased with the decrement of the room temperature.
Project Management System of Exploration Program in the Light of Prioritizing of Reservoir Engineering Stages According to the Criterion of Prospects
Authors: Dadykn V S , Dadykina O V , Elyakova I D 
Published: February 2022

Abstract
A model of the project portfolio management system of a geological exploration enterprise has been developed, taking into account the stages of work. The model includes a control object, a decision-making subsystem, which includes a control device represented by the decision support software system “Balance of Groundwater Availability” (BGA) and an executive device represented by a decision-maker, making decisions at a geological exploration enterprise. The stimulus to the target asset arises on the one hand in connection with the implementation of sectorial and federal programs within the area for the development of the geological industry and the reproduction of mineral resources, on the other hand, it is the need to maintain a certain balance of the availability of raw materials in the region, in particular, underground water. Hence, it is necessary for the underground water exploration company to take into account the specifics of the programs in view of the interconnection of the sites within one large field of regional scale. In this case, the project portfolio needs to be managed, taking into account the network nature of their interaction, i.e. mutual influence on the remaining sections of the field. On the other hand, when forming a portfolio of projects of a geological exploration enterprise, it is necessary to take into account staging and phasing of geological exploration, their seasonal nature allows viewing the model of the management system in the context of discrete time. The work was carried out with the financial support of the grant of the President of the Russian Federation No. MD-2409.2020.5.
Sustainable Natural Resources Use: Financial and Tax Issues
Authors: Bashkirova N N , Lessovaia S N 
Published: February 2022

Abstract
The ecological stability and environmental security are becoming relevant issues being the elements of the national security. The development and the improvement of the financial (including tax), legal, educational, social and cultural components of the environmental regulation system is now a worldwide trend. The publication aims to analyze the financial and fiscal aspects of sustainable use of natural resources. Based on the consideration of advantages and disadvantages of the current system of ecological taxation in Russia, the critical analyses of implementing the “polluters pay” principle was provided and the key disadvantages of the energy and transport tax system were disclosed. The main challenges that arise from the implementation of the traditional objectives of ecological taxes and charges were examined in the paper. As a result of the summarized data the recommendations are suggested to improve the ecological taxation system. The alternative to the fiscal regulation, which aims to develop the mechanisms to solve the problem of sustainable natural resources use was justified in the paper. One of such mechanisms is creation of joint infrastructure that involves both state and business institutions, and enables companies to pursue environmental protection activities.
Application of Environmentally Safe Bioelectrical Parameterization for the Assessment of Potential Multiple Pregnancy of Sheep and Offspring Growing Capacity
Authors: Samusenko L D , Mamaev A V 
Published: February 2022

Abstract
Functional state of the reproductive system of ewes, which determines their multiple pregnancy, is closely related to homeostatic processes, which can be assessed by the level of bioelectric potential of superficially localized biologically active centers (LBP of SLBACs). The purpose of the work is to develop a method for early diagnostics of multiple pregnancies in ewes, by studying the LBP of the SLBACs of ewes and their reproduction rate - multiple pregnancies, as well as studying the growing capacity of offsprings of young animals obtained from experienced ewes. The object of the study was ewes of the Romanov breed.
As a result of the research and analysis of the data obtained, a straight-line relationship between the LBP of the SLBACs of ewes and their multiple pregnancies was established.
The results of the control young sheep breeding of the Romanov breed obtained from the ewes with different LBP of SLBACs showed that the lambs obtained from the ewes with a low LBP of the SLBACs had the highest growing capacity. However, the ewes with a high biopotential level produce significantly more offspring, which allows increasing the level of mutton production and the profitability of the industry.
On the basis of the data obtained, a method for early diagnosis of multiple pregnancies in sheep according to the LBP of the SLBACs of ewes before the mating campaign was developed.
Reclamation of Disturbed Land in Russia: State of the Art
Authors: Tsoraeva E N , Zaitseva Y V 
Published: February 2022

Abstract
Reclamation of disturbed land is a relevant issue, as each year, more and more land becomes unsuitable for economic use due to human activity, which alters the terrain and creates anthropogenic landscape, ultimately disturbing a variety of lands. Not only is disturbed land no longer suitable for economic use, but also is subject to intensive water and wind erosion, the products of which pollute the environment. The area susceptible to the negative effects of mining is about ten times the size of disturbed area. Reclamation of disturbed land is of special relevance in Russia, as the country is a leading producer and exporter of hydrocarbons, resulting in a worrisome lead in terms of pollution with oil and petroleum products, pesticides and heavy metals, as well as in the scale of soil-disrupting activities such as construction, amelioration, logging, surveying, testing, exploration, and operation of various facilities. This paper discusses the current state of the art of disturbed land reclamation in Russia. The authors analyzed statistics from Rosreestr, Rosselkhoznadzor, and Rosprirodnadzor.