bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of an automatic control and analysis system for the conditioning of high-power couplers at IHEP
Authors: Deng Z. , Zhang P. , Huang T. , Wang Q. , Lin H. , Dai J. , Ma Q. , Xiao L. , Pan W. 
Published: July 2021

Abstract
A new radio frequency (rf) conditioning system for power couplers has been developed for the High Energy Photon Source (HEPS) project. The system adopted a function-driven modular design, and the control software development was based on Experimental Physics and Industrial Control System (EPICS) platform to be compatible with the HEPS control system. Dedicated data acquisition system and in-house developed interlock system, as well as universal instruments and devices, constitute the main hardware infrastructure, while distributed EPICS input/output controllers, tailor-made operator interfaces, and data archiving comprise the control software pillars. Automatic control logics were developed to adjust the conditioning parameters according to vacuum pressure readings, thus largely spares human misoperations and considerably reduces the operator’s workload. Limited human supervision is required and the conditioning efficiency may be improved. Besides, data analysis and automatic report generation programs were developed and integrated into the conditioning system. Performances and behaviors of the couplers being conditioned can be easily obtained to help identify potential issues. The system has been used in the conditioning of power couplers and has also been customized to accommodate high-power tests of several other rf components thanks to its modular nature. The performance of both the hardware and the control software was excellent during the tests. The design, realization, and operation of the new rf conditioning system are presented.
Sending out an SOS: using start of rainy season indicators for market price forecasting to support famine early warning
Authors: Davenport Frank M , Shukla Shraddhanand , Turner William , Funk Chris , Krell Natasha , Harrison Laura , Husak Greg , Lee Donghoon , Peterson Seth 
Published: July 2021

Abstract
We examine relationships between the start of rainy season (SOS) and sub-national grain (white maize) market price movements in five African countries. Our work is motivated by three factors: (a) some regions are seeing increasing volatility SOS timing; (b) SOS represents the first observable occurrence in the agricultural season and starts a chain reaction of decisions that influence planting, labor allocation, and harvest—all of which can have direct impacts on local food prices and availability; and (c) pre- and post-harvest price movements provide key insights into supply-and-demand issues related to food insecurity. We start by exploring a number of different SOS definitions using varying reference periods to define whether an SOS is ‘on-time’ or ‘late’. We then compare how those different definitions perform in seasonal price forecasting models. Specifically, we examine if SOS indicators can predict price means over 6 and 9 month periods, or roughly the length of time from planting to market. We use different reference periods for defining ‘early’ versus ‘late’ seasonal starts based on the previous year’s start date, or median start dates over the past 3, 5, and 10 year periods. We then compare the out-of-sample forecast performance of univariate time-series models (autoregressive integrated moving average (ARIMA)) with time-series (ARIMAX) models that include various SOS definitions as exogenous predictors. We find that using some form of SOS indicator (either an SOS anomaly or 1st month’s rainfall anomaly) leads to increased predictive power when examining prices over a 6 months window. However, the results vary considerably by country. We find the strongest performance of SOS indicators in central Ethiopia, southern Kenya, and southern Somalia. We find less evidence in support of the use of SOS indicators for price forecasting in Malawi and Mozambique.
Does soybean production in indonesia still have competitiveness advantages? a policy analysis matrix approach
Authors: Dewi YA , Yulianti A 
Published: July 2021

AbstractThe soybean production in Indonesia still faces several challenges causing production depended on import supplies. This paper aims to assess the competitiveness advantages of soybean production. Policy Analysis Matrix (PAM) was used to examine its competitiveness using secondary data and deliberating results of previous studies. The results of the study in 2015 showed that domestic production still could afford private and social prices. Soybean nearly did not show competitiveness advantages reflected from the ratio of DRC and PCR that were almost one. The government interventions brought various impacts, for instance farmers paid cheaper inputs by 26.67% and there was inefficiency of government policy towards the output. The government policy to assure profit in the long term was also insufficient reflected from the EPC (1.03) and PC (0.06). From the SRP variable, it described that the government not all farmers received a benefit from the government policy. The sensitivity analysis resulted: (i) the combination of increasing soybean price + procurement price at 8,000 IDR/kg and (ii) the increasing import tariff by 5% + procurement price at 8,000 IDR/kg provided the most favorable impacts.
Climate, land area and fertilizer distribution policy supports to Lampung strategic food production
Authors: Hevrizen R , Meidaliyantisyah  
Published: July 2021

Abstract
Rainfall, land area, and subsidized fertilizer distribution system policies are predicted to affect the production of strategic crops in Lampung Province. This study aims to determine how much influence the rainfall, land area, and distribution system of subsidized fertilizers on the production of rice, corn and cassava in Lampung Province and determine the carrying capacity of climate, land and fertilizer distribution policies on the production of strategic food crops in Lampung. This study used a descriptive analysis method by taking data on rainfall, land area, subsidized fertilizer distribution system and time-series food crop production for 15 years (2002-2016). Data analysis used multiple linear regression with Eviews 9.0 software. Testing data using assumption tests (autocorrelation and multicollinearity), F test (overall), correlation coefficient (r), coefficient of determination (R). The results showed that each 1 mm/year increase in rainfall in Lampung Province from 2002-2016 would reduce rice production by 45.6 tons, corn by 87.97 tons and cassava by 733.6 tons. Meanwhile, every increase of 1 hectare of land in Lampung Province will increase rice production by 6.2 tons, corn 4.65 tons, and cassava 26.01 tons. In addition, the subsidized fertilizer distribution system variable which is also part of the production factor also plays a positive role in the production of rice, corn and cassava. The carrying capacity of rainfall, land area, and the distribution system of subsidized fertilizers on Lampung strategic food crop production are rice 96.1%, corn 86.9% and cassava 79.09%.
A Study on an Impact of Tower Surge Impedance Against Lightning Surge Phenomena
Authors: Satchathampitak Chakkri , Chatthaworn Rongrit , Suksri Amnart 
Published: July 2021

Abstract
Lightning strikes creates damages to the electrical power system utilization and equipment. To reduce the effect of lightning strikes in the tower transmission, the ground resistance of the tower must be kept to a low value of less than 5 Ω. This research is a study of tower surge impedance using additional conductor line connected by parallel two overhead ground wire at the top of the tower transmission line. The additional of ground wire which is connected from the top of the tower utilizes copper and aluminium alloy for the simulation. Calculation of tower surge impedance using finite element method by COMSOL in 3D simulation based on traditional electromagnetism equations. Surge impedance values were calculated, and it was found that the calculation results obtained with less than 0.5 % error when using finite element method compare with conventional numerical method. Aluminium alloy conductor was found to have an effect on reducing the overvoltage magnitude of lightning strikes at the tower transmission line when compare with copper conductor.
On the Path of Sustainability in Wastewater Treatment: The Golden Mean Applied to Regional Context
Authors: Santos E 
Published: July 2021

Abstract
An important part of the environmental degradation is caused by the discharge of untreated or mistreated wastewater. Since centralized treatment systems have proved to be inefficient, tackling the environmental issues requires a regional approach. Wastewater treatment plants (WWTPs) mitigate environmental impacts and contribute to financial savings of other firms. However, the literature evaluating WWTPs’ financial performance and economic sustainability does not abound. Thus, this paper analyses the economic sustainability of wastewater treatment companies in Portugal by NUTS II regions, in 2016-2019. Using firms’ financial reports from SABI, results show that, by and large, firms in the Centre region display higher financial performances when compared to other regions. These results can be used to investigate whether firms in the central region are implementing the best practices regarding management and technology. Results can also foster enhancements in the governance of regulated utilities.
Analysis of Armenia’s Green Building and Vision Proposal
Authors: Papoyan Atanes , Zhan Changhong 
Published: July 2021

Abstract
This research is intended to do an overview of green building and market trends, to determine the recent state and future industry prospects, to analyze the current state of green architecture in Armenia. The major fraction of this research work is based on scientific research and literature review. The information has been derived from legislative documents, evaluation guidelines, governmental reports, company databases and through an extensive analysis of the scientific articles as well. There had been arranged several interviews with key representatives of the construction and architecture field. Besides of the interviews done with the professionals, there were done a questionnaire survey for citizens of Armenia. Have been collected more than 200 answers.
Modelling the accidental oil spills at potentially hazardous facilities in the Arctic zone of Krasnoyarsk Krai
Authors: Grebnev Y , Moskalev A 
Published: July 2021

Abstract
Intensified human activity in exploiting the natural resources leads to increasing technogenic load on Arctic’s fragile ecosystem. The boost in industrial facilities is associated with a growing number of stationary fuel reservoirs poorly monitored due to their considerable remoteness and extreme weather conditions. The 2020 emergency in the Arctic zone of Krasnoyarsk Krai exposed the lack of adequate methods for risk assessment and behaviour in case of accidents at potentially hazardous facilities. The existing methodologies for assessing the area of spill following an accidental depressurisation present significant limitations. Most methodologies are based on analytical models not taking into account the physics of processes. This work uses modelling with neural networks of oil spill at the potentially hazardous object located in the Arctic territory of the Krasnoyarsk Krai. The software used was neural network simulator NeuroPro, developed in the Institute of Computational Modelling of Krasnoyarsk Scientific Centre of SB RAS. For training the neural network there were used daily operational data on fourteen main vectors affecting the propagation rate. The neural network modelling of the accidental oil spill during the depressurization of one of the fuel tanks at potentially hazardous facilities in the Arctic zone in 2020 correlated perfectly with the real data.
The Russian Arctic World as a “cultural circle” and an object of development
Authors: Sukhorukov V D , Gladkiy Yu N , Kulik S V 
Published: July 2021

Abstract
The geospatial image of the Russian Arctic in the cultural and civilizational context is considered, taking into account the current policy and development strategy of the Arctic zone of the Russian Federation for the period up to 2035. Russian Arctic world as a domestic phenomenon, which embodies the specifics of Russian civilization, national culture, history and geography, is in the center of attention. It is emphasized that the “space factor” played and continues to play a huge role in the formation of Russian civilization. It left a vivid imprint on all aspects of public life. Overcoming the space in Russia still remains one of the most urgent state tasks. First of all, this applies to the Arctic zone of the Russian Federation, the strategic importance of which is becoming more and more significant. It is pointed out that the implementation of the unique geospatial capabilities of the Russian Arctic lies not only in the implementation of the strategic tasks of socio-economic development and technological advancement, but also in the spiritual, moral, cultural and professional growth of people living and working there.
As the methodological basis of the study, the authors chose the concept of “spatial rotation”, which covers modern social theory and practice. Its main content boils down to the fact that space is recognized as an active participant in the interactions taking place on Earth. At the same time, the space is represented as a “characteristic” human work, saturated with the meanings of social dialectics and strategy. This statement was an argument to consider the fact of “spatialization” of the Russian Arctic into the category of a special life world. In this regard, the idea is expressed about the need for an intensive “humanization” of the Russian Arctic world.
Digital infrastructure as the factor of innovative development of Arctic regions in framework of Industry 4.0 concept
Authors: Kozlov A , Kankovskaya A , Teslya A 
Published: July 2021

Abstract
The purpose of the article is studying of the impact of the level of digital infrastructure development on formation of Industry 4.0 in Arctic regions of Russian Federation. The study objects are four arctic territories of Russian Federation, namely, Murmansk region, Yamalo Yamalo-Nenets Autonomous District, Chukotka Autonomous District and Nenets Autonomous District. The methodological basis for the study is assessment of the level of regional digital infrastructure through analysis of separate indicators and calculation of the integrated indicator. The data of the Russian Federal statistic agency and its branches for period of 2014-2019 were used for assessment and analysis. The results highlight the not very positive dynamics of integrated digital infrastructure development indicator since the level of it has a tendency or stagnate or grow slowly. The formation of Industry 4.0 that requires to combine internal enterprise’s computerized design and automated machinery with ecommerce and Internet of Things in one integrated ebusiness system, is looking problematic in current situation for analyzed regions. The authors formulated the limitations for the study and defined the directions of the future research.
Information and analytical support of the Arctic industrial-natural complexes safety
Authors: Yakovlev S Yu , Shemyakin A S , Oleinik A G 
Published: July 2021

Abstract
Recently, increased attention has been paid to issues of information and analytical support for the Russian Arctic security. However, risk management problems are especially acute for lower levels of management hierarchy. Therefore, it is relevant to consider issues of managing technogenic-ecological industrial-natural complexes safety of the Arctic. In this article, these features are considered on the example of a heat power plant. Accidents related to oil and oil products spills are considered as a typical example. In first part of the work, main goals and objectives of prevention, forecasting and elimination of accidents consequences are given, the features of operational management in event of an emergency are revealed. It is shown that Arctic industrial-natural complexes safety management is a complex interdisciplinary area of fundamental and applied research. The structure of information-analytical complex for risk management has been formed. The second section presents some research and developments in field of information-analytical support of industrial-natural safety. Directions for further research are outlined.
Using of summary calculations for assessment of air pollution in the urban habitat in the Arctic region
Authors: Trishina A , Shironina A , Vasileva Zh , Mokhorov D 
Published: July 2021

Abstract
This article discusses the possibility of using summary calculations as a standard for assessing the quality of the city air. Murmansk, like many industrialized Arctic cities, has its own specifics of development, which leads to an increase in the concentration of pollutants in the urban atmosphere, which negatively affects the health of the population and the urban environment quality. There is an air quality management system In Russia, but for many reasons it is imperfect. At the same time, along with it, there is a practice of applying summary calculations to assess air pollution by emissions from road transport and industrial facilities, which allows getting a more detailed picture of the atmospheric air quality. The authors of this article compared the results of assessing of pollutants distribution in the atmosphere of Murmansk city, obtained by using of summary calculations and actual indicators of hazardous components content in the air. The objectivity of summary calculations maps and the possibility of their use for predicting the distribution of air pollution in Murmansk are determined.
Tourism 4.0: Education, Pedagogy and Digital Learning Solutions for the Russian Arctic
Authors: Timoshenko D S 
Published: July 2021

Abstract
The study aims to identify the main problems associated with the provision of professional tourism training and the creation of a tourism talent pool for the Russian Arctic in the context of Industry 4.0. The article analyses the current socio-economic factors that determine the development of the Russian Arctic. The pedagogical environment’s crucial aspects are systematised to ensure an effective educational process in modern tourism pedagogy. The necessary conditions required for creating the high competitiveness of tourism specialist are determined. The factors and features of tourism personnel training for the Russian Arctic are systematised. An analysis of the organic tourism design concept is carried out. Based on the results obtained, methodological recommendations for the Tourism 4.0 educational process and the formation of a Russian Arctic tourism talent pool are proposed. The necessity of developing the latest competencies for competitive specialists and vocational guidance in the needs of Tourism 4.0 has been substantiated. A model of arctic tourism vocational guidance activities withing integration “education throughout life” into the full educational and life cycle is proposed. The need to increase the level of digital literacy and in-demand informational, tech skills, communication competencies and over-professional skills of the tourism talent pool for the Russian Arctic has been substantiated. The latest technologies that must be studied and applied in tourism pedagogy are listed.
NeuroPpred-Fuse: an interpretable stacking model for prediction of neuropeptides by fusing sequence information and feature selection methods
Authors: Jiang Mingming , Zhao Bowen , Luo Shenggan , Wang Qiankun , Chu Yanyi , Chen Tianhang , Mao Xueying , Liu Yatong , Wang Yanjing , Jiang Xue , Wei Dong-Qing , Xiong Yi 
Published: July 2021

AbstractNeuropeptides acting as signaling molecules in the nervous system of various animals play crucial roles in a wide range of physiological functions and hormone regulation behaviors. Neuropeptides offer many opportunities for the discovery of new drugs and targets for the treatment of neurological diseases. In recent years, there have been several data-driven computational predictors of various types of bioactive peptides, but the relevant work about neuropeptides is little at present. In this work, we developed an interpretable stacking model, named NeuroPpred-Fuse, for the prediction of neuropeptides through fusing a variety of sequence-derived features and feature selection methods. Specifically, we used six types of sequence-derived features to encode the peptide sequences and then combined them. In the first layer, we ensembled three base classifiers and four feature selection algorithms, which select non-redundant important features complementarily. In the second layer, the output of the first layer was merged and fed into logistic regression (LR) classifier to train the model. Moreover, we analyzed the selected features and explained the feasibility of the selected features. Experimental results show that our model achieved 90.6% accuracy and 95.8% AUC on the independent test set, outperforming the state-of-the-art models. In addition, we exhibited the distribution of selected features by these tree models and compared the results on the training set to that on the test set. These results fully showed that our model has a certain generalization ability. Therefore, we expect that our model would provide important advances in the discovery of neuropeptides as new drugs for the treatment of neurological diseases.
TDP-43 and FUS mislocalization in VCP mutant motor neurons is reversed by pharmacological inhibition of the VCP D2 ATPase domain
Authors: Harley Jasmine , Hagemann Cathleen , Serio Andrea , Patani Rickie 
Published: July 2021

AbstractRNA binding proteins have been shown to play a key role in the pathogenesis of amyotrophic lateral sclerosis (ALS). Mutations in valosin-containing protein (VCP/p97) cause ALS and exhibit the hallmark nuclear-to-cytoplasmic mislocalization of RNA binding proteins (RBPs). However, the mechanism by which mutations in VCP lead to this mislocalization of RBPs remains incompletely resolved. To address this, we used human-induced pluripotent stem cell-derived motor neurons carrying VCP mutations. We first demonstrate reduced nuclear-to-cytoplasmic ratios of transactive response DNA-binding protein 43 (TDP-43), fused in sarcoma/translocated in liposarcoma (FUS) and splicing factor proline and glutamine rich (SFPQ) in VCP mutant motor neurons. Upon closer analysis, we also find these RBPs are mislocalized to motor neuron neurites themselves. To address the hypothesis that altered function of the D2 ATPase domain of VCP causes RBP mislocalization, we used pharmacological inhibition of this domain in control motor neurons and found this does not recapitulate RBP mislocalization phenotypes. However, D2 domain inhibition in VCP mutant motor neurons was able to robustly reverse mislocalization of both TDP-43 and FUS, in addition to partially relocalizing SFPQ from the neurites. Together these results argue for a gain-of-function of D2 ATPase in VCP mutant human motor neurons driving the mislocalization of TDP-43 and FUS. Our data raise the intriguing possibility of harnessing VCP D2 ATPase inhibitors in the treatment of VCP-related ALS.