bluuebunny/crossref_metadata_2025 huggingface dataset:
Radiomic prediction of radiation pneumonitis on pretreatment planning computed tomography images prior to lung cancer stereotactic body radiation therapy
Authors: Hirose Taka-aki , Arimura Hidetaka , Ninomiya Kenta , Yoshitake Tadamasa , Fukunaga Jun-ichi , Shioyama Yoshiyuki
Published: November 2020

This study developed a radiomics-based predictive model for radiation-induced pneumonitis (RP) after lung cancer stereotactic body radiation therapy (SBRT) on pretreatment planning computed tomography (CT) images. For the RP prediction models, 275 non-small-cell lung cancer patients consisted of 245 training (22 with grade ≥ 2 RP) and 30 test cases (8 with grade ≥ 2 RP) were selected. A total of 486 radiomic features were calculated to quantify the RP texture patterns reflecting radiation-induced tissue reaction within lung volumes irradiated with more than x Gy, which were defined as LVx. Ten subsets consisting of all 22 RP cases and 22 or 23 randomly selected non-RP cases were created from the imbalanced dataset of 245 training patients. For each subset, signatures were constructed, and predictive models were built using the least absolute shrinkage and selection operator logistic regression. An ensemble averaging model was built by averaging the RP probabilities of the 10 models. The best model areas under the receiver operating characteristic curves (AUCs) calculated on the training and test cohort for LV5 were 0.871 and 0.756, respectively. The radiomic features calculated on pretreatment planning CT images could be predictive imaging biomarkers for RP after lung cancer SBRT.
Vascular endothelial growth factor promotes atrial arrhythmias by inducing acute intercalated disk remodeling
Authors: Mezache Louisa , Struckman Heather L. , Greer-Short Amara , Baine Stephen , Györke Sándor , Radwański Przemysław B. , Hund Thomas J. , Veeraraghavan Rengasayee
Published: November 2020

Atrial fibrillation (AF) is the most common arrhythmia and is associated with inflammation. AF patients have elevated levels of inflammatory cytokines known to promote vascular leak, such as vascular endothelial growth factor A (VEGF). However, the contribution of vascular leak and consequent cardiac edema to the genesis of atrial arrhythmias remains unknown. Previous work suggests that interstitial edema in the heart can acutely promote ventricular arrhythmias by disrupting ventricular myocyte intercalated disk (ID) nanodomains rich in cardiac sodium channels (NaV1.5) and slowing cardiac conduction. Interestingly, similar disruption of ID nanodomains has been identified in atrial samples from AF patients. Therefore, we tested the hypothesis that VEGF-induced vascular leak can acutely increase atrial arrhythmia susceptibility by disrupting ID nanodomains and slowing atrial conduction. Treatment of murine hearts with VEGF (30–60 min, at clinically relevant levels) prolonged the electrocardiographic P wave and increased susceptibility to burst pacing-induced atrial arrhythmias. Optical voltage mapping revealed slower atrial conduction following VEGF treatment (10 ± 0.4 cm/s vs. 21 ± 1 cm/s at baseline, p < 0.05). Transmission electron microscopy revealed increased intermembrane spacing at ID sites adjacent to gap junctions (GJs; 64 ± 9 nm versus 17 ± 1 nm in controls, p < 0.05), as well as sites next to mechanical junctions (MJs; 63 ± 4 nm versus 27 ± 2 nm in controls, p < 0.05) in VEGF–treated hearts relative to controls. Importantly, super-resolution microscopy and quantitative image analysis revealed reorganization of NaV1.5 away from dense clusters localized near GJs and MJs to a more diffuse distribution throughout the ID. Taken together, these data suggest that VEGF can acutely predispose otherwise normal hearts to atrial arrhythmias by dynamically disrupting NaV1.5-rich ID nanodomains and slowing atrial conduction. These data highlight inflammation-induced vascular leak as a potential factor in the development and progression of AF.
Mapping wind erosion hazard with regression-based machine learning algorithms
Authors: Gholami Hamid , Mohammadifar Aliakbar , Bui Dieu Tien , Collins Adrian L.
Published: November 2020

Land susceptibility to wind erosion hazard in Isfahan province, Iran, was mapped by testing 16 advanced regression-based machine learning methods: Robust linear regression (RLR), Cforest, Non-convex penalized quantile regression (NCPQR), Neural network with feature extraction (NNFE), Monotone multi-layer perception neural network (MMLPNN), Ridge regression (RR), Boosting generalized linear model (BGLM), Negative binomial generalized linear model (NBGLM), Boosting generalized additive model (BGAM), Spline generalized additive model (SGAM), Spike and slab regression (SSR), Stochastic gradient boosting (SGB), support vector machine (SVM), Relevance vector machine (RVM) and the Cubist and Adaptive network-based fuzzy inference system (ANFIS). Thirteen factors controlling wind erosion were mapped, and multicollinearity among these factors was quantified using the tolerance coefficient (TC) and variance inflation factor (VIF). Model performance was assessed by RMSE, MAE, MBE, and a Taylor diagram using both training and validation datasets. The result showed that five models (MMLPNN, SGAM, Cforest, BGAM and SGB) are capable of delivering a high prediction accuracy for land susceptibility to wind erosion hazard. DEM, precipitation, and vegetation (NDVI) are the most critical factors controlling wind erosion in the study area. Overall, regression-based machine learning models are efficient techniques for mapping land susceptibility to wind erosion hazards.
Revisiting gene delivery to the brain: silencing and editing
Authors: Conniot João , Talebian Sepehr , Simões Susana , Ferreira Lino , Conde João
Published: November 2020

Neurodegenerative disorders, ischemic brain diseases, and brain tumors are debilitating diseases that severely impact a person's life and could possibly lead to their demise if left untreated.
Organobase modulated synthesis of high-quality β-ketoenamine-linked covalent organic frameworks
Authors: Wang Rong , Kong Weifu , Zhou Ting , Wang Changchun , Guo Jia
Published: November 2020

A series of high-quality β-ketoenamine-linked covalent organic frameworks are synthesized by using organobases as modulators under solvothermal conditions.
Cu2+-binding to S100B triggers polymerization of disulfide cross-linked tetramers with enhanced chaperone activity against amyloid-β aggregation
Authors: Cristóvão Joana S. , Moreira Guilherme G. , Rodrigues Filipe E. P. , Carapeto Ana P. , Rodrigues Mário S. , Cardoso Isabel , Ferreira António E. N. , Machuqueiro Miguel , Fritz Guenter , Gomes Cláudio M.
Published: November 2020

A mechanism of chemical regulation of the S100B chaperone via Cu2+ induced assembly of S100B cross-linked oligomers with enhanced anti-amyloid aggregation activity.
Polymeric dimethylytterbium and the terminal methyl complex (TptBu,Me)Yb(CH3)(thf)
Authors: Katzenmayer Markus M. , Wolf Benjamin M. , Mortis Alexandros , Maichle-Mössmer Cäcilia , Anwander Reiner
Published: November 2020

Pyrophoric redox-sensitive [YbMe2]nis obtained from [Yb{N(SiMe3)2}2]2and methyllithium and its existence proven by171Yb CP/MAS NMR spectroscopy and distinct methane elimination reactions.
Palladium-catalyzed C–P cross-coupling of allenic alcohols with H-phosphonates leading to 2-phosphinoyl-1,3-butadienes
Authors: Hu Shanshan , Sun Wenyu , Chen Junhong , Li Sipei , Zhao Runmin , Xu Pengxiang , Gao Yuxing , Zhao Yufen
Published: November 2020

The first regioselective palladium-catalyzed C–P cross-coupling of unprotected allenic alcohols with H-phosphonates for the one-pot synthesis of structurally diverse multisubstituted 2-phosphinoyl-1,3-butadienes was developed.
Palladium catalyzed annulation of 2-iodobiphenyl with a non-terminal alkene enabled by neighboring group assistance
Authors: Tang Bo-Cheng , He Cai , Chen Xiang-Long , Ma Jin-Tian , Wang Miao , Wu Yan-Dong , Wu An-Xin
Published: November 2020

Neighboring group assisted annulation of non-terminal alkene with 2-iodobiphenyl.
Efficient photocatalytic degradation of methyl violet using two new 3D MOFs directed by different carboxylate spacers
Authors: Wang Jun , Rao Congying , Lu Lu , Zhang Shile , Muddassir Mohd , Liu Jianqiang
Published: November 2020

Both the MOFs proved to be good candidates for the photocatalytic degradation of methyl violet. The mechanism of these photocatalytic degradations is discussed.
Influence of the N atom and its position on electron photodetachment of deprotonated indole and azaindole
Authors: Noble Jennifer A. , Marceca Ernesto , Dedonder Claude , Jouvet Christophe
Published: November 2020

Dipole bound state and its vibrational structure observed in deprotonated 7-azaindole by recording the signal of 7-azaindolyl stable neutral radical.
The electronic and magnetic properties of h-BN/MoS2 heterostructures intercalated with 3d transition metal atoms
Authors: Liu Fei , Liao Yujie , Wu Yanbing , Huang Zongyu , Liu Huating , He Chaoyu , Qi Xiang , Zhong Jianxin
Published: November 2020

We performed density functional theory calculations to investigate the electronic and magnetic properties of h-BN/MoS2 heterostructures intercalated with 3d transition-metal (TM) atoms, including V, Cr, Mn, Fe, Co, and Ni atoms.
Investigation of the thermal removal steps of capping agents in the synthesis of bimetallic iridium-based catalysts for the ethanol oxidation reaction
Authors: Prössl Carolin , Kübler Markus , Nowroozi Mohammad Ali , Paul Stephen , Clemens Oliver , Kramm Ulrike I.
Published: November 2020

Two iridium-based catalysts (namely IrSn and IrNi) are synthesised via a polyol route involving capping agents.
Proton transfer at subkelvin temperatures
Authors: Tiefenthaler Lukas , Kollotzek Siegfried , Ellis Andrew M. , Scheier Paul , Echt Olof
Published: November 2020

Doping cationic helium nanodroplets with H2produces proton donors. Subsequent doping with proton acceptors initiates gentle proton transfer at 0.37 K.
Theoretical study on the photochemistry of furoylazides: Curtius rearrangement and subsequent reactions
Authors: Li Jian , Liu Meng-Kai , Li Quan-Song , Li Ze-Sheng
Published: November 2020

Theoretical calculations obtained new insights into the photochemistry of furoylazides and nitrenes.
Thiol-initiated photocatalytic oxidative cleavage of the CC bond in olefins and its extension to direct production of acetals from olefins
Authors: Wang Xinglin , Li Yuanyuan , Li Zhaohui
Published: November 2020

Oxidative cleavage of a broad scope of olefins is realized over ZnIn2S4 under visible light, using air as oxidant and thiol as initiator. Coupled with the condensation between aldehydes/ketones and alcohols, this strategy can be used to yield acetals directly from olefins.
A molecular electron density theory study for [3+2] cycloaddition reactions of N-benzylcyclohexylnitrone with methyl-3-butenoate
Authors: Mohammad-Salim Haydar A. , Basheer Huda Ahmed , Abdallah Hassan H. , Zeroual Abdellah , Jamil Lazgin Abdi
Published: November 2020

The [3+2] cycloaddition (32CA) reactions of N-benzylcyclohexylnitrone 1 with methyl-3-butenoate 2 have been studied within molecular electron density theory (MEDT) at the B3LYP/6-311++G(d,p) level of theory.
Four structural diversity MOF-photocatalysts readily prepared for the degradation of the methyl violet dye under UV-visible light
Authors: Lu Lu , Wang Jun , Shi Chuncheng , Sun Yanchun , Wu Weiping , Pan Ying , Muddassir Mohd.
Published: November 2020

The photocatalytic results demonstrated that all of them displayed efficient photocatalytic performances towards the degradation of methyl violet. The mechanism has been proposed.
Chalcogen bonding interactions in chelating, chiral bis(selenocyanates)
Authors: Huynh Huu-Tri , Jeannin Olivier , Aubert Emmanuel , Espinosa Enrique , Fourmigué Marc
Published: November 2020

Both anti (racemic mixture) and syn (meso) forms of a chiral, chelating chalcogen bond (ChB) donor interact with halides through short Se⋯X− directional interactions.
Adeno-associated virus characterization for cargo discrimination through nanopore responsiveness
Authors: Karawdeniya Buddini Iroshika , Bandara Y. M. Nuwan D. Y. , Khan Aminul Islam , Chen Wei Tong , Vu Hoang-Anh , Morshed Adnan , Suh Junghae , Dutta Prashanta , Kim Min Jun
Published: November 2020

Solid-state nanopore based electro-deformation coupled with deep learning to distinguish AAV particles based on their cargo content.
Electrochemical tandem trifluoromethylation of allylamines/formal (3 + 2)-cycloaddition for the rapid access to CF3-containing imidazolines and oxazolidines
Authors: Claraz Aurélie , Djian Aurélie , Masson Géraldine
Published: November 2020

A straightforward and environmentally friendly synthesis of CF3-containing imidazolines and oxazolidines has been developed through an electrochemical three-component reaction among allylamines, the Langlois reagent, and nitrile or carbonyl compounds.
The stability of disperse red/reactive-red dye inks
Authors: Chu Runshan , Zhang Yue , Xing Tieling , Chen Guoqing
Published: November 2020

CI disperse red 896 was used as a representative disperse red dye to investigate the stability of inkjet printing colour paste.
Synthesis of SrTiO3 submicron cubes with simultaneous and competitive photocatalytic activity for H2O splitting and CO2 reduction
Authors: Wei Haoshan , Cai Jingyi , Zhang Yong , Zhang Xueru , Baranova Elena A. , Cui Jiewu , Wang Yan , Shu Xia , Qin Yongqiang , Liu Jiaqin , Wu Yucheng
Published: November 2020

There is a clear competitive relationship between water splitting and photocatalytic reduction of carbon dioxide in the whole process of photocatalytic reduction of carbon dioxide with the prepared cubic SrTiO3 as a photocatalyst.
Design of internal dynamics based MMC controller for HVDC transmission
Authors: Yadav Ankit , Singh Sri Niwas , Das Shyama Prasad
Published: November 2020

Currently, the modular multilevel converter (MMC) is the most advanced voltage source converter topology. Because the MMC is a converter topology, the most common approach for controller design is considering the conventional converter model to design the controller accordingly. Though this approach ignores the internal dynamics of the MMC, the modular structure enables distribution of the capacitors in six arms of the MMC. However, this distribution leads to a complex internal dynamic that affects the controller operation and cannot be disregarded. In this study, a detailed fundamental and circulating current model of the MMC is developed while considering its internal dynamics. The detailed modelling reveals cross‐ and inter‐couplings. On the basis of the detailed model and analysis of the couplings, three controllers have been proposed. Moreover, the performances of the proposed and conventional controllers have been analysed and compared under steady‐state and active and reactive power changes. The proposed controllers are observed to achieve improved decoupling compared to that achieved by the conventional controller.
Moving shadow detection via binocular vision and colour clustering
Authors: Lu Lei , Xu Ming , Smith Jeremy S. , Yan Yuyao
Published: November 2020

A pedestrian segmentation algorithm in the presence of cast shadows is presented in this study. The novelty of this algorithm lies in the fusion of multi‐view and multi‐plane homographic projections of foregrounds and the use of the fused data to guide colour clustering. This brings about an advantage over the existing binocular algorithms in that it can remove cast shadows while keeping pedestrians’ body parts, which occlude shadows. Phantom detection, which is inherent with the binocular method, is also investigated. Experimental results with real‐world videos have demonstrated the efficiency of this algorithm.
Diversified Fisher kernel: encoding discrimination in Fisher features to compete deep neural models for visual classification task
Authors: Ahmed Sarah , Azim Tayyaba
Published: November 2020

Fisher kernels derived from stochastic probabilistic models such as restricted and deep Boltzmann machines have shown competitive visual classification results in comparison to widely popular deep discriminative models. This genre of Fisher kernels bridges the gap between shallow and deep learning paradigm by inducing the characteristics of deep architecture into Fisher kernel, further deployed for classification in discriminative classifiers. Despite their success, the memory and computational costs of Fisher vectors do not make them amenable for large‐scale visual retrieval and classification tasks. This study introduces a novel feature selection technique inspired from the functional characteristics of neural architectures for learning discriminative feature representations to boost the performance of Fisher kernels against deep discriminative models. The proposed technique condenses the large dimensional Fisher features for kernel learning and shows improvement in its classification performance and storage cost on leading benchmark data sets. A comparison of the proposed method with other state‐of‐the‐art feature selection techniques is made to demonstrate its performance supremacy as well as time complexity required to learn in reduced Fisher space.
Optimal minimum variance‐entropy control of tumour growth processes based on the Fokker–Planck equation
Authors: Sargolzaei Maliheh , Latif‐Shabgahi Gholamreza , Afshar Mahdi
Published: November 2020

The authors demonstrated an optimal stochastic control algorithm to obtain desirable cancer treatment based on the Gompertz model. Two external forces as two time‐dependent functions are presented to manipulate the growth and death rates in the drift term of the Gompertz model. These input signals represent the effect of external treatment agents to decrease tumour growth rate and increase tumour death rate, respectively. Entropy and variance of cancerous cells are simultaneously controlled based on the Gompertz model. They have introduced a constrained optimisation problem whose cost function is the variance of a cancerous cells population. The defined entropy is based on the probability density function of affected cells was used as a constraint for the cost function. Analysing growth and death rates of cancerous cells, it is found that the logarithmic control signal reduces the growth rate, while the hyperbolic tangent–like control function increases the death rate of tumour growth. The two optimal control signals were calculated by converting the constrained optimisation problem into an unconstrained optimisation problem and by using the real–coded genetic algorithm. Mathematical justifications are implemented to elucidate the existence and uniqueness of the solution for the optimal control problem.
A Virgo Environmental Survey Tracing Ionised Gas Emission (VESTIGE)
Authors: Vollmer B. , Fossati M. , Boselli A. , Soida M. , Gwyn S. , Cuillandre J. C. , Amram Ph. , Boissier S. , Boquien M. , Hensler G.
Published: November 2020

NGC 4330 is one of the Virgo galaxies whose UV emission distributions show a tail structure. An associated tail structure is also observed in the HI and Hα emission distributions. Previous dynamical modeling has shown that the galaxy is approaching the cluster center and is therefore undergoing increasing ram pressure stripping. Recent stellar population fitting of deep optical spectra together with multiband photometry led to the determination of the time when star formation was quenched in the galactic disk. We introduce a new version of the dynamical model that includes not only the dense neutral gas, but also the diffuse ionized gas, and we aim to reproduce the HI, Hα, and UV distributions together with the star formation histories of the outer gas-free parts of the galactic disk. We present the results of 50 simulations with five different Lorentzian temporal ram pressure profiles and five different delays between the simulation onset and peak ram pressure. The delays were introduced to study the influence of galactic structure on the outcome of the simulations. The inclusion of diffuse gas stripping significantly changes the HI, UV, and Hα emission distributions. The simulations with diffuse gas stripping naturally led to vertical low surface density filaments in the downwind region of the galactic disk. These filaments occur less frequently in the simulations without diffuse gas stripping. The simulations with diffuse gas stripping led to better joint fits to the spectral energy distributions (SEDs) and optical spectra. The HI, near-UV, and Hα morphologies of the model snapshots that best reproduce the SEDs and optical spectra are sufficiently different to permit a selection of best-fit models. We conclude that the inclusion of diffuse gas stripping significantly improves the resemb+lance between the model and observations. Our preferred model yields a time to peak ram pressure of 140 Myr in the future. The spatial coincidence of the radio continuum and diffuse Hα tails suggests that both gas phases are stripped together. We suggest that the star formation in the outer tail is sporadic and low level, and this explains the absence of a significant amount of cosmic ray electrons there. Furthermore, we suggest that the mixed interstellar medium is ionized by collisions with the thermal electrons of the ambient intracluster medium, which confines the filaments.
BAT99 126: A multiple Wolf-Rayet system in the Large Magellanic Cloud with a massive near-contact binary
Authors: Janssens S. , Shenar T. , Mahy L. , Marchant P. , Sana H. , Bodensteiner J.
Published: November 2020

Context. BAT99 126 is a multiple system in the Large Magellanic Cloud containing a Wolf-Rayet (WR) star, which has a reported spectroscopic (orbital) period of 25.5 days and a photometric (orbital) period of 1.55 days, and hence is potentially one of the shortest WR binaries known to date. Such short-period binary systems that contain a WR star in low-metallicity environments are prime candidate progenitors of black-hole (BH) mergers.

Aims. By thoroughly analysing the spectroscopic and photometric data, we aim to establish the true multiplicity of BAT99 126, to characterise the orbit(s) of the system, to measure the physical properties of its individual components, and to determine the overall evolutionary status of the system.

Methods. Using newly acquired high resolution spectra taken with the Ultra-violet and Visual Echelle Spectrograph mounted on the Very Large Telescope, we measured radial velocities via cross-correlation and line-profile fitting, and performed a spectral analysis of the individual components using model atmosphere codes. We estimated the age of the system and derived an evolutionary scenario for the 1.55-day system.

Results. BAT99 126 comprises at least four components. The 1.55-day photometric signal originates in an eclipsing binary that consists of two O-type stars of spectral types O4 V and O6.5 V, which are both rapid rotators (300 km s−1 and 230 km s−1, respectively). From the broad emission lines of the WR star, we derived a spectral type WN2.5-3. We further reject the previously reported 25.5-d period for the WR star and find that there is no detectable orbital motion within our uncertainties. The presence of additional narrow Si III and O II lines in the composite spectrum corresponds to a fourth component, a B1 V star. There is clear evidence that the B-type star shows a radial velocity variation; however, the data do not allow for a determination of the orbital parameters. The configurations of the B-type star, the WR star, and possible additional undetected components remain unknown. We derived masses for the O-type components of 36  ±  5 M⊙ and 15  ±  2 M⊙, respectively, and estimated the age of the system to be 4.2 Myr. We find evidence of previous or ongoing mass-transfer between the two O-type components and infer initial masses of 23 M⊙ for the O4 V star and 29 M⊙ for the O6.5 V star. The O+O binary likely went through a phase of conservative mass transfer and is currently a near-contact system.

Conclusion. We show that BAT99 126 is a multiple – quadruple or higher-order – system with a total initial mass of at least 160 M⊙. The 1.55-day O+O binary most likely will not evolve towards a BH+BH merger, but instead will merge before the collapse of the components to BHs.
Whey centralized processing of as an environmental aspect of regional development
Authors: Zhang Na , Lazarev Vladimir , Shestakova Tatyana
Published: November 2020

The article presents the practicability of developing the environmental aspect of dairy industry enterprises on the example of Sverdlovsk region. The volume of milk and cottage cheese production at the enterprises of the Sverdlovsk region is presented. The article describes the negative impact of milk processing enterprises on the environment. Statistical data on the percentage of enterprises that process secondary dairy raw materials are provided. The article presents the costs of installing local wastewater treatment plants and the rationality of creating a specialized enterprise for complex processing of whey on the basis of OJSC “Irbit Dairy Plant”. The article describes the value of secondary dairy raw materials that cause the greatest harm to the environment in case of unfair whey utilization, as a raw material for the production of competitive products. The technology for processing whey at a specialized enterprise using membrane methods is presented: nanofiltration — ultrafiltration — reverse osmosis followed by vacuum evaporation and spray drying. The expediency of introducing an ultrafiltration unit with the use ofceramic ultrafiltration element (CUFE) (0.01) ceramic membranes into the line for processing whey at theOJSCIrbit dairy plant is described. The content of the main components of curd whey at all stages of production, as well as the final products, is presented. The parameters of the described processes of whey processing are given.
Natural and technogenic geodynamic processes in the south ural
Authors: Nesterenko Maksim , Tsviak Aleksey , Belov Vladimir
Published: November 2020

In this paper is presented hydro-geodynamics and geodynamics in the South Urals. Seismicity and geodynamics induced by hydrocarbon production by summarizing the published case studies are considered. Changes in hydro-and gas dynamics affect changes in the geodynamics of the crust. Natural and technogenic changes in bowels of the Earth are usually entail tectonic movements and deformations of earth’s surface, which is one of the important factors determining environmental changes and requiring mandatory consideration in engineering-geological surveys and exploitation of deposits. The approach is based on identified changes in hydrogeodinamics, stress-deformation state and seismic activity in areas of mineral resources of oil and gas fields. Negative geodynamic processes occurring on the territory of the Eastern Orenburg Region are identified. The analysis of the geodynamic state of the subsurface of the Eastern Orenburg Region is carried out. Based on the analysis, conclusions are made about possible causes of the geodynamic processes. An effective method for observing geodynamic processes using a seismological network is proposed and justified. A method of organizing a geodynamic polygon on a mineral field under development using a network of seismic stations has been developed.
Renewable energy sustainability in terms of systems analysis
Authors: Kovalev Vladimir , Arkhipova Olga , Paramzin Alexander
Published: November 2020

The article deals with the application of the principles of systems analysis in the study of sets of isolated power supply systems within the tasks of sustainable development. For such aggregates, in terms of systems analysis, the concept of a regionally isolated electrotechnical complex is introduced. The analyzed electrotechnical complex is proved to be a complex production and technological system. With regard to a complex production and technological system - a regionally isolated electrotechnical complex, the authors provide a meaningful interpretation of the following principles of the theory of systems analysis: consistency, connectivity, hierarchy, emergence, optimality, and equifinality.
Creation of the corporate information system based on knowledge economy
Authors: Vinogradova Ekaterina , Nikoliuk Olena , Galimova Anna
Published: November 2020

Nowadays it is impossible to remain competitive by operating on the same template for a long period of time. In order to gain an advantage in the market, companies should adapt to changes in the world as soon as possible and find new competitive mechanisms. Innovation is also needed in order to be able to offer consumers products that will differ from available in the market in rising competitive conditions. The task of the authors in this study is to find and investigate an effective way to plan and conduct production and economic activities through changing value guidelines: a transition from an orientation to material and technical factors to information resources, a part of the knowledge economy. The authors defined the main stages of the formation of a corporate information system based on a sustainable economy.
Sustainability of micro-entrepreneurs’ business: the role of their behavior model on Internet-platforms in the context of sharing economy challenges
Authors: Glukhikh Pavel
Published: November 2020

New entrepreneurs’ behavior models with controversial consequences are forming on Internet-platforms of sharing economy. The aim of the article is to reveal theoretical and methodological approaches to behavior model of micro-entrepreneurs in the market of Internet-platforms and evaluate the consequences for sustainability of micro-entrepreneurs and economy. The dialectical method, cause-and-effect analysis, deduction and induction, analysis and synthesis were used. The research of sharing economy is being in active progress, however, the consequences for micro-entrepreneurs have not been estimated properly yet. A separate complex research is needed to assess the contribution of micro-entrepreneurs into achievement of development goals for national business.
Creating entrepreneurial ecosystems for the reindustrialization of the Russian economy: the crisis impulse of 2020
Authors: Yurchenko Konstantin
Published: November 2020

The global economy, which has been successfully developing for a long time under the influence of the globalization trend, experienced a serious external shock in 2020. The sharp halt in growth and the fall in GDP in most countries have led to the need to develop mechanisms for restoring growth, which are based on consumer and business activity. Russia has been hit by a double whammy of the crisis, as in addition to the decline in business activity, the impact of a decrease in demand for export commodities, while at the same time falling prices for them, affects. The article, based on fundamental and empirical works devoted to the study of business ecosystems and behaviors of a resource-dependent economies, the author, using techniques of statistical analysis substantiates opened for countries to undertake in the medium term reindustrialization of the economy, forming with the updated effective entrepreneurial ecosystem.
Cross-functional team as a high-performance practice for sustainable development of Russian companies
Authors: Kalabina Elena , Belyak Olga
Published: November 2020

The article considers cross-functional teams of employees as a highly productive work practice to ensure the sustainable development of companies. Dissemination of the best high-performance work practices and social work with personnel, including designing cross - functional teams, is one of the areas that ensure the sustainable development of companies. However, the design of cross-functional teams within organizations faces various difficulties and, mainly, with fragmentation and mismatch of ideas about this type of group work and methods of managing it. Rationale of expediency of applying the practice of forming cross-functional teams of employees is given. A contextual analysis of the reasons for creating cross-functional teams of employees is carried out, their polyphonic nature is revealed. The study examines the signs of the exclusivity of cross-functional teams of employees as an organizational unit, project team, organizational knowledge generator, cross-cultural phenomenon and presents the results of a pilot study of organizational and managerial factors of the impact of knowledge exchange between participants of cross-functional teams to ensure the sustainable development of companies.
Implementation of lean manufacturing technologies as a resource for sustainable development of a commercial bank
Authors: Kolchurina Irina , Prihodko Olga , Volkova Tatyana , Ponomareva Kira
Published: November 2020

The tough regulatory requirements of the Central Bank of Russia, competition with transnational banks and a reduction in the volume of issued loans made it necessary to develop measures aimed to increase the efficiency of a regional commercial bank. In this regard, search for new management methods, implementation of analysis tools and improvement of a financial organization activity are relevant. The article proposes to optimize business the processes of the management system of the regional commercial bank by using lean manufacturing tools. The advantages and usefulness of a value stream map for business processes analysis and optimization are considered and substantiated. The tool was implemented in relation to the business process of the commercial bank «Lending to individuals». The time of operations and interoperation intervals was determined, risk analysis was made, and measures were proposed to improve the process. The economic efficiency of corrective measures was calculated.
Business sustainability management in the current scientific and technical climate
Authors: Ilyin S.Yu. , Krasnyanskaya O.V. , Shatskaya I.V. , Beketova O.N.
Published: November 2020

The article presents the indicators of managing modern business sustainability, based on the relevant innovative factor of its conduct at the current stage of management evolution. The choice of indicators is based on the postulates of the school of management science, which are most significantly manifested in the system of economic relations, including the commercial sector of the economy, and, accordingly, such resulting and factor indicators as changes in income and expenses, direct (direct) and indirect - a given (indirect) ratio of income and profit to process costs for the development, implementation, and application of innovations by entrepreneurs for the implementation of commercial projects. These relationships between changes in income and expenses were plotted through a combination of their various types (additive, multiplicative, multiple), which help to identify the degree of influence of each factor indicator (element of process costs) on the resulting indicators and take measures to maximize the result and minimize such costs using the computational-constructive method in its interaction with individual elements of mathematical analysis. The material is useful for entrepreneurs regardless of their commercial interests and organizational mechanism of economic management, for educational and scientific institutions and their students in economic and management programs, specialties, and profiles.
Creation of Digital Ecosystem in the Context of Region Sustainable Industrialization
Authors: Bozhko Larissa , Sapanova Ramilya , Shtykova Irina , Wijayanti Febry
Published: November 2020

This paper presents features, approaches and institutional conditions, implications of digital technologies focused on the sustainable industrial development of the regional economy. The objective of the study is to analyse possibilities of the practical implementation of measures on digital ecosystem creation of separate region, Kostanay Region of the Republic of Kazakhstan, the industrial region of country having a certain innovation potential. This paper uses scientific methods of enquiry, statistical data and mathematical modelling in economics. In the result of study digital technology development priorities at the national level were established and the digitalization impact on the regional development was emphasised. The empirical analysis basis served the results of studies conducted within R&D “Developing the Government Regulation Policy on Accelerated Clustering of Industrial Regions” conducted under the grant financing of Ministry of Education and Science of the Republic of Kazakhstan.
Financial mechanisms of international relations in the era of global transformations and the digital revolution
Authors: Razletovskaia Viktoriya
Published: November 2020

Globalization, scientific and technological progress, and the digital revolution lead not only to a change in international relations, but also to the transformation of the financial component of their implementation. New challenges, such as neurotechnology, creating a new community of automated subjects, artificial intelligence, threatening mass unemployment, information in volumes impossible to perceive and process by human brain, consolidation of stratification and inequality, radical changes in human values and uniqueness, cyber threats to both individuals and society as a whole pose challenges that will require unprecedented international cooperation, supported by the development of financial mechanisms and instruments. Otherwise, there is a risk of a “digital divide” with serious consequences for stable growth around the world. The urgency and complexity of the problem is supported by the fact that the past world historical experience knows no such cooperation, as there were no appropriate conditions (changed not only the environment and factors, but also the range of threats that have not been so global). The article presents an analysis of the convergence of the development of international relations and financial instruments and technologies for their implementation based on the level of scientific and technological progress on the example of the stages of historical processes of globalization and the digital revolution. Given the identified trends in the development of financial instruments and technologies of international processes, the article shows that an important challenge for Russia is to establish its own foreign policy priorities and determine its place and role in the financial component of world politics. A new range of emerging financial instruments is shown, the application of which will be a key factor in the development of future public policies.
Global networked economy as a factor for sustainable development
Authors: Salamova Ayna
Published: November 2020

Towards the end of the twentieth century, certain features of economic development were clearly defined that will become the dominant features of the economy of the next century. Modern advances in the development of global information and communication technologies have led to the formation of a global electronic environment for economic activity, which has opened up new opportunities for organizational and institutional design in business and other areas of human socio-economic activity.The article discusses the prospects for the development of the world global economy.
Private consumption as a factor to engage human capacity in terms of sustainable development
Authors: Rozhdestvenskaia Elena
Published: November 2020

Investigated private consumption as a substantial factor to accumulate human potential. Author has revealed the function of private consumption as a tool to reproduce human capital. To restruct of private consumption towards a shift towards the prevalence of disposable income towards the consumption of “knowledge-intensive” goods and services is a factor for sustainable development of the Russian economy. A hypothesis put forward that creative consumption determines the sustainability of the development of society.
The effect of the state of the banking system on national economic resilience
Authors: Tashtamirov Magomed
Published: November 2020

Economic resilience is directly related to the level of development of the banking system within a single economic space. This article identifies the degree of influence of the main indicators of the state of the banking system on the values of the resilience of the national economy of Russia. A review of the main research results in this area is carried out and the similarity of the positions of various authors on the issue of direct influence between the dynamics of banks’ development and economic growth trends is revealed. The dynamic and structural analysis reflecting the degree of integration of the banking system and the Russian economy is carried out. The main determinants of the banking system, which have a direct impact on the dynamics of the national economy, are identified and systematized. An econometric analysis is carried out in the form of a regression model describing the degree of connection and influence of the main banking indicators on the stability of the Russian economy in terms of GDP per capita. The results obtained reflect a high degree of connection between the dynamics of indicators of the state of the banking system and the level the national economic resilience.
Quantitative and qualitative indicators of safe (pseudo-safe) state of territory’s economy
Authors: Samoilova Liudmila
Published: November 2020

Human capital is the foundation of economic development at the territories, which indicates that its complex judgment is of priority. However, parameters that distort socio-economic reality will give a wrong idea of whether the territory’s economy is protected against threats; therefore, finding criteria to distinguish safe, conditionally safe, pseudo-safe and danger states of the economy take on special significance. In view of this, development of the system of indicators to estimate human capital has become vital, which has predetermined the purpose of the study implemented using the following methods: statistical analysis and qualitative assessment of systems. The set of the coefficients focuses on better objectivity of the study of human capital in terms of the influence it has on safety of the economy of the territory, since it considers the rate of changes in basic quantitative and qualitative indicators disclosing, on the one hand, availability of labor resources, on the other hand, satisfaction of the households’ needs.
Ensuring sustainable growth based on the artificial intelligence analysis and forecast of in-demand skills
Authors: Vankevich Alena , Kalinouskaya Iryna
Published: November 2020

Sustainable economic growth requires a system for forecasting the in-demand skills and competencies. The existing methods of analysis and forecasting of the labor market use truncated databases based on surveys of employers or registered vacancies on the state portal, which do provide reliable forecasts of the required competencies for the education system to ensure their timely formation. It is also impossible to analyze the need in terms of competencies, and not the number of employees. Therefore, a more reliable source of data is the analysis of vacancies and resumes collected by scraping from online job portals, which allows you to analyze vacancies and resumes in the context of the described competencies, and develop a forecast of their dynamics. The article presents an algorithm for using artificial intelligence in the analysis and forecasting of skills and competencies in demand, the advantages of which lie not only in the volume and speed of the processed information, but also in ensuring the quality and comparability of data.
Russian Province in a Power Deficit (Regional Stories)
Authors: Vladimirovich Skiperskikh Aleksandr
Published: November 2020

This article discusses how a power deficit can be felt in the Russian province. The uneven economic development of the territory of Russia, large gaps between the center and the province give rise to the practice of a rapid centralization and exodus from the peripheral territories. This practice means the emergence of a deficit of infrastructure, which, in turn, causes a deficit of the power itself, which must serve this infrastructure. At the same time, the weakening of the bureaucratic pressure can also have its advantages for the inhabitants of the Russian provinces, whose economic freedom can be constructed in rather anarchic discourses. The lack of power means the emancipation of a person, his greater independence and variability in life forms.The article is based on the author’s observations and impressions, suggesting the field studies of various cases of perception of the power deficit in the Russian province.
Spatial regional infrastructural systems sustainable development: priorities and measures
Authors: Shishkina Elena , Surnina Nadezhda
Published: November 2020

The article dwells on formation features of the priorities and parameters for assessing the sustainable development of spatial infrastructure systems in the region. The priorities of the stability of spatial infrastructural systems have been established - the ability of stable functioning in conditions of external influences, adaptability to them. The strategic development goals correspondence study of spatial infrastructure systems to the goals and objectives of sustainable development was carried out. The absence of consistency and complexity in the formation of the foundations of sustainable development in strategies, programs and projects for the development of spatial infrastructure systems of the Russian Federation was revealed. The indicators of sustainable development reflecting various strategic planning of spatial infrastructure systems were analyzed. It has been determined that the parameters for achieving the Sustainable Development Goals in the context of the constituent entities of the Russian Federation are currently not being developed, and indicators of the availability and availability of infrastructure are used as target parameters, which can reflect the degree of satisfaction need for it to solve the problems of socio-economic development of the territories.
Media Flows Analysis for Sustainable Development of Urban Environment
Authors: Evstigneev Vladislav , Voronin Dmitry , Kuznetsov Pavel
Published: November 2020

An objective analysis of multidimensional media flows in the implementation of the concept of sustainable development of the urban environment is based on methods of statistical data processing, the sample of which is subject to certain constraints to improve the reliability statistical conclusions. In particular, the presence of serial correlation in the series of a random variable reduces the reliability of statistical estimates. This paper proposes a method for assessing the intensity of information flows generated by a separate media source against the background of two different dominant informational agendas: before and after the outbreak of coronavirus infection. The technique makes it possible to assess the probability of the media generating messages of a given discourse taking into account the autocorrelation of the series. The developed and implemented algorithm for assessing the likelihood of information messages on a given topic can be used in the future to study the stability of information “intrusions” into the target media space, as well as to simulate the consequences of the implementation of measures for the digital transformation of the urban environment within the concept of its sustainable development.