bluuebunny/crossref_metadata_2025_split huggingface dataset:
Data‐driven transient frequency stability assessment: A deep learning method with combined estimation‐correction framework
Authors: Wen Yunfeng , Zhao Rongzhen , Huang Mingzeng , Guo Chuangxin 
Published: December 2020

AbstractTransient frequency stability assessment (TFSA) is important for operators to understand dynamic power system frequency characteristics. However, because of the problem of combinatorial explosion, exacerbated by uncertain renewable generation and various contingencies, applying traditional time‐domain simulation methods is very time‐consuming for TFSA of a low‐inertia power system. To address this, this study evaluates a fast and online TFSA using a data‐driven tool, based on deep learning. A novel combined estimation–correction learning framework is proposed. In the estimation step, a deep neural network is used to obtain the network parameters based on actual input–output feature data, which effectively realize automatic dimension reduction and feature extraction. In the subsequent correction step, the multidimensional frequency metrics produced by the deep neural network‐based estimator are input to a stacked extreme learning machine‐based corrector to further reduce the prediction error. A case study on a modified IEEE RTS‐79 system demonstrates that the proposed approach has extremely high computation speed, compared to the time‐domain simulation method, and achieves higher prediction accuracy and superior generalisation performance in comparison with other state‐of‐the‐art algorithms.
Deterministic proxies for stochastic unit commitment during hurricanes
Authors: Mohammadi Farshad , Jafarishiadeh Fatemehalsadat , Xue Jiayue , Sahraei‐Ardakani Mostafa , Ou Ge 
Published: December 2020

AbstractSevere weather threatens the reliability of the power supply by damaging the network. In the case of hurricanes, tens of elements may fail, which would lead to power outages. Under such circumstances, preventive unit commitment methods can model the probabilistic failure forecasts and minimise the power outages. Preventive stochastic unit commitment is an effective method to consider failure forecasts to reduce the power outage. Although stochastic unit commitment produces high‐quality solutions, it is computationally burdensome. Thus, this paper evaluates proxy deterministic methods with lighter computational compared with stochastic unit commitment on both the solution time and quality. Adjusted spinning reserve requirements, engineering judgment‐based rules, and robust preventive operation are among the evaluated methods. Numerical results are obtained for the synthetic grid on the footprint of Texas with 2000 buses. The results suggest that while some proxy methods, such as standard spinning‐reserve and adjusted spinning‐reserve with 6% to 30% of the spinning capacity, may not be as effective as the stochastic method, others, such as robust optimisation, deliver the majority of the stochastic benefits with substantially less (85%) computational time. Monte Carlo simulations are used to evaluate the quality of solutions in reducing the expected unserved load and over‐generation.
Selective focus saliency model driven by object class‐awareness
Authors: Zhao Danpei , Yuan Bo , Shi Zhenwei , Jiang Zhiguo 
Published: December 2020

AbstractCurrent many salient object detection (SOD) models only focus on highlighting visual conspicuous region but fail to make saliency detection for specific targets. In this paper, a selective focus saliency model driven by object class‐awareness (SF‐OCA) to run saliency detection is proposed. The framework consists of a visual saliency detection flow, a segmentation‐classification flow, and a class‐awareness selection module. It combines bottom‐up visual perception with a top‐down task‐driven manner, which is capable of detecting specific category salient targets and eliminating the interference from other saliency areas, providing a new idea for saliency detection. Experimental results show that the method achieves comparable performance with state‐of‐the‐art models on four public saliency datasets. In addition, a new dataset was also built to test the proposed framework for the selective focus saliency detection. Compared with other SOD methods, the method not only highlights visual saliency regions but can choose more important or more noteworthy targets in a class‐awareness manner. The method also shows better robustness under a variety of conditions including multi‐targets, small targets and complex background.
An eight‐switch five‐level inverter with zero leakage current
Authors: Kumari Sangeeta , Verma Arun Kumar , N Sandeep , Yaragatti Udaykumar R. , Pota Hemanshu Roy 
Published: December 2020

AbstractThis paper examines a multilevel transformer‐less grid‐tied inverter topology is proposed for PV applications. Nowadays, transformer‐less inverters are more desirous due to their small filter size, cheaper and higher efficiency. However, the removal of transformer results in the existence of leakage current due to absence of galvanic isolation. The flow of leakage current is the cause of personal safety and deteriorating power quality. A transformer‐less inverter topology is proposed which is able to solve the leakage current issue. Besides, it has the ability to generate the boosted voltage without the need of magnetic component or boosting circuit. It works on the principle of flying/switched capacitor which are able to naturally balance the voltage. Hence, it does not have the limitation of modulation index and no need of complex control scheme to balance or regulate the voltage across an auxiliary capacitor. The performance of the proposed topology is verified by implementing a laboratory prototype which validates the operation and performance of the proposed topology. Results depicting the output voltage, load current and voltage across the auxiliary capacitor are presented for various operating conditions. Moreover, a comprehensive comparison is done, in terms of component count, level and boosting ability of output voltage with leakage current condition.
Is Appropriate Administration of Antenatal Corticosteroids Associated with Maternal Race?
Authors: Ondusko Devlynne S. , Garg Bharti , Caughey Aaron B. , Pilliod Rachel A. , Carter Emily H. 
Published: December 2020

Objective Antenatal corticosteroids (ACSs) improve outcomes for premature infants; however, not all pregnant women at risk for preterm delivery receive ACS. Racial minorities are less likely to receive adequate prenatal care and more likely to deliver preterm. The objective of this study was to determine if maternal race is associated with a lower rate of ACS administration in Washington for women at risk of preterm labor (between 23 and 34 weeks).
Study Design This was a population-based retrospective cohort study of singleton, nonanomalous, premature deliveries in Washington state between 2007 and 2014. Descriptive data included maternal sociodemographics, pregnancy complications, facility of birth, and neonatal characteristics. The primary outcome was maternal receipt of ACS and the independent variable was maternal race/ethnicity. The secondary outcomes included neonatal need for assisted ventilation, both initially and for more than 6 hours, and administration of surfactant. Data were analyzed using chi-square tests and logistic regression models.
Results A total of 8,530 nonanomalous, singleton neonates were born between 23 and 34 weeks' gestation. Of those, 55.8% of mothers were self-identified as white, 7.5% as black, 21.4% as Hispanic, 10.9% as Asian, and 4.3% as Native American. After adjusting for confounders, black woman–neonate dyads had significantly lower odds of receiving ACS, (adjusted odds ratio [aOR] = 0.62; 95% confidence interval [CI]: 0.51–0.76), assisted ventilation immediately following delivery (aOR = 0.76; 95% CI: 0.61–0.94) and for more than 6 hours (aOR = 0.64; 95% CI: 0.49–0.84) and surfactant therapy (aOR = 0.62; 95% CI: 0.42–0.92) as compared with whites.
Conclusion These findings contribute to the current body of literature by describing racial disparities in ACS administration for pregnant women at risk for preterm delivery. To better understand the association between black race and administration of ACS, future studies should focus on differences within and between hospitals (including quality, location, resources), patient health literacy, social determinants of health, and exposure to systemic racism and discrimination.
Key Points
Altered Cl
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homeostasis hinders forebrain GABAergic interneuron migration in a mouse model of intellectual disability
Authors: Maset Andrea , Galla Luisa , Francia Simona , Cozzolino Olga , Capasso Paola , Goisis Rosa Chiara , Losi Gabriele , Lombardo Angelo , Ratto Gian Michele , Lodovichi Claudia 
Published: December 2020

Significance
Intellectual disability associated with Oligophrenin 1 (OPHN1) mutation is a neurodevelopmental disorder characterized by a wide range of cognitive and social dysfunction. Here, we dissected the impact of OPHN1 mutation on the postnatal migration of inhibitory interneurons, a process that is thought to play a key role in postnatal developmental plasticity. We found that loss of function of OPHN1 led to an early maturation of the morphofunctional properties of the neuronal precursors that impaired their migration and resulted in a dramatically lower number of cells reaching their target area. We identified pharmacological treatments able to rescue the abnormal development of neuronal precursors and their migration.
Selective Aster inhibitors distinguish vesicular and nonvesicular sterol transport mechanisms
Authors: Xiao Xu , Kim Youngjae , Romartinez-Alonso Beatriz , Sirvydis Kristupas , Ory Daniel S. , Schwabe John W. R. , Jung Michael E. , Tontonoz Peter 
Published: December 2020

Significance
The Aster proteins are transporters that move cholesterol between the plasma membrane and the ER. Here, we develop and characterize small molecules that selectively inhibit one or more Aster proteins. Importantly, we identify compounds that block Aster-mediated cholesterol transport without interfering with other sterol regulatory proteins, including NPC1 and SREBP2. Cell studies reveal that inhibition of Aster function by small molecules blocks the movement of LDL-derived cholesterol from the plasma membrane to the ER, thus positioning the nonvesicular Aster pathway downstream of the NPC1 vesicular pathway in the movement of LDL-derived cholesterol.
The Duhumbi perspective on Proto-Western Kho-Bwa onsets
Authors: Bodt Timotheus Adrianus 
Published: December 2020

Abstract
The eight Western Kho-Bwa varieties are spoken in western Arunachal Pradesh in Northeast India and form a small, coherent
sub-group of the Tibeto-Burman (Trans-Himalayan / Sino-Tibetan) language family.
This paper presents 96 sound correspondences, mainly between the two Western Kho-Bwa varieties Duhumbi and Khoitam, with
additional evidence from other Western Kho-Bwa varieties and other Tibeto-Burman languages whenever deemed illustrative. On basis of these
sound correspondences, I propose 282 Western Kho-Bwa proto-forms including a total of 92 onsets. The less common reconstructed Western
Kho-Bwa onsets are the uvular onsets and the voiceless nasal and approximant onsets.
A unique innovation of the Western Kho-Bwa languages, and indeed the Kho-Bwa languages in general, is the correspondence
of initial *s- in other Tibeto-Burman languages to a vocal onset in Proto-Western Kho-Bwa and its descendent varieties. Another relatively
unique innovation is the correspondence between Western Kho-Bwa obstruent onsets *b- and *g- ~ *kʰ- ~ *k- and other Tibeto-Burman nasal
onsets *m- and *ŋ-, respectively.
Methodology for building the optimal test bench of software and hardware complexes of control systems
Authors: Zhuravlev A V , Aksyonov K A , Knyazev R O 
Published: December 2020

Abstract
The paper considers the issue of creating unified approaches to building test stands for software and hardware control systems. A universal architecture of the test bench is proposed and the author’s method of constructing optimal test stands, obtained as a result of research in the field of complex automation of the test process, is described. The algorithm of directed search for the best test stand configuration is considered by example and the results of the implementation of the proposed method are demonstrated.
Analysis of the methods for accounting the renewable and non-renewable resources in scheduling
Authors: Antonova A S , Aksyonov K A 
Published: December 2020

Abstract
The paper discusses a scheduling problem taking into account the constraints on the renewable and non-renewable resources and availability of the works due dates. For the problem, an overview of the scheduling methods is given. The considered scheduling methods include approximate optimization algorithms and hybrid algorithms based on the genetic algorithm. It is concluded that it is necessary to use heuristic methods to find a solution. A new hybrid scheduling method based on multi-agent simulation is proposed. Application of agent-based simulation allows one to take into account the life cycle of the non-renewable resources and to distribute the renewable resources during scheduling. The genetic algorithm ensures search for the effective schedule with aim at the minimum cost of attracting the additional renewable resources in order to maintain the works deadlines.
Software Development Life Cycle early phases and quality metrics: A Systematic Literature Review
Authors: Ergasheva Shokhista , Kruglov Artem 
Published: December 2020

Abstract
Most of the currently used software development metrics are concentrated on the latter stages like development and testing. However, early revealing of errors during the SDLC(Software Development Life Cycle) tremendously affects the efficiency of the team work by spending more time on prevention and less on correction in later stages.
Furthermore, reworking in later stages increase the cost of quality, lead to extra waste of time of the development team. The objective of this review is to examine the classification of the existing SDLC(Software Development Life Cycle) early phases and define the set of software process quality metrics. Based on the SRL research protocol, we selected the most relevant studies from overall 200 publications by the use of search keywords and inclusion/exclusion criteria for quality assessment of primary studies. This systematic literature review yields the correlation of cost, time and software product quality with the SDLC stages.
Development of cluster models for municipal educational institutions of Tomsk region
Authors: Kvasnikova I K , Lepustin A V , Katsman Yu Ya , Lepustina E V 
Published: December 2020

Abstract
This paper describes the cluster models construction for schools in the Tomsk region. K-means method is used to distribute objects between clusters using the multidimensional vector of variables (socio-economic status of students, qualification and age of teaching staff, students’ participation in academic competitions, students in difficult living conditions, etc.). The cluster models were constructed for urban schools (regional center), country and ungraded schools. The computer simulation using STATISTICA system was performed due to large amount of source data and complexity of the developed models. The analysis showed the relationship between the values of cluster variables and the results of Unified State Exams (USE).
Application of multi-agent approach in the electric power control systems within the active energy complex
Authors: Zhavoronkov A E , Aksyonova O P 
Published: December 2020

Abstract
This paper provides an analytical overview of artificial intelligence technologies used in the tasks of technological management of the electric power industry. The relevance of using multi-agent systems is proved for solving energy problems. The concept of an intelligent energy system is considered with an active adaptive network (IES AAN). A block diagram of the electric power system management system is given within the IES AAN. It is shown that the developed centralized management principles are not fully applicable for small distribution networks – microgrid, with the use of storage devices and renewable sources. The article describes the active energy complex in Russia in the context of an analog of the Microgrid concept. The required functionality of a intelligent controllable connection (ICC) is studied, the main algorithm of the ICC operation is given, and the proposed structure is described for building a distributed system of intelligent multi-agent control of the AEC that implements the required functions.
Single-phase ion trap with cylindrical zero-potential surface
Authors: Kosternoi I. , Kokorina O. , Romanova A. , Rydyi S. 
Published: December 2020

Abstract
In the present article, we discuss an electrostatic field around four-bar trap, where in-phase AC voltage is applied to all electrodes. We consider shielding effect on trap’s field distribution. The ideal octupole field is obtained using a cylindrical grounded surface. Single-phase trap gives an opportunity to form an n-order multipole field within n + 1 number of electrodes. This approach reduces the number of electrodes in comparison with the classical case.
Oriented nanonetworks and submicron fibres of nickel as a conducting coating
Authors: Nizameev I R , Morozov M V , Nizameeva G R , Spiridonov S V , Kadirov M K 
Published: December 2020

Abstract
Within the framework of the work, a methodology was developed for applying oriented nickel nanonetworks to glass, combined into a single system with an oriented network of submicron nickel fibres. The applying technique is original and has not been previously reported in the literature. The basis of the technique is precipitation from the liquid phase by chemical reduction of the nickel salt. The created coating could be interesting for the application in the transparent electrodes field.
Influence of Fe2+ doping concentration on the structure and spectroscopic properties of transparent glass-ceramics based on Fe2+:ZnAl2O4 nanocrystals
Authors: Eremeev K , Dymshits O , Khubetsov A , Alekseeva I , Zapalova S , Tsenter M , Zhilin A. , Basyrova L , Loiko P , Popkov V 
Published: December 2020

Abstract
Zinc aluminosilicate glasses nucleated by titanium dioxide, both undoped and doped with 0.6 and 1.0 wt% FeO were prepared by conventional melt-quenching technique and subsequently converted to glass-ceramics by controlled nucleation and crystallization in the temperature range of 720 – 1200 °C. The glasses and glass-ceramics were characterized by X-ray diffraction, Raman and optical spectroscopy. The addition of FeO speeds up the liquid phase separation of the initial glasses and gahnite (ZnAl2O4), rutile (TiO2) and cristobalite (SiO2) crystallization. Ferrous ions enter the gahnite crystals leading to a variation of the absorption spectra of glass-ceramics as compared to those of glasses. The glass-ceramics exhibit a broadband (1.5-2.5 μm) absorption due to the 5E → 5T2 (5D) transition of Fe2+ ions in tetrahedral sites in gahnite nanocrystals. They are promising as materials for gain media and saturable absorbers of mid-infrared lasers.
Investigation of the mechanical properties of epitaxial gallium nitride for applications in MEMS
Authors: Enns Y , Kazakin A , Mizerov A , Shubina K , Morozov I , Mokhov D , Bouravleuv A 
Published: December 2020

Abstract
This article presents the results of the experimental determination of the mechanical parameters of a GaN films grown by molecular beam epitaxy on silicon substrates. The values of Young’s modulus and internal stresses for GaN films with different growth parameters have been determined. The study was carried out by contact and optical methods on the formed cantilever and beam microstructures. The measured values can be used to develop the design and evaluate the characteristics of MEMS based on gallium nitride films.
Formation of metal catalytic centers from atomic flows of matter for the growth of carbon nanostructures using PECVD method
Authors: Klimin V S , Rezvan A A , Morozova J V , Ageev O A 
Published: December 2020

Abstract
Consider formation of nickel catalytic centers from atomic flows obtained by the method of vacuum resistive evaporation. A model of formation kinetics of catalytic centers of nickel from atomic flows has been constructed. A complete model of theoretical studies of the formation of catalytic centers of nickel on a silicon surface is shown. A dependence of cluster concentration on normalized formation time is obtained. According to the results of theoretical studies, it was learned that flux of nickel atoms to substrate is F = 1.296 * 1018, residence time of nickel atom on substrate in adsorbed state is tg = 5.135 * 10−7, and concentration of adsorbed atoms as a function of time is N = 6.657 * 1011.
Luminescent vertically oriented nanosheets MoS2 by low temperature MOCVD
Authors: Khattab Y , Alexandrov S E , Mukhin I 
Published: December 2020

Abstract
Controlled growth orientation of MoS2 thin films is the key requirement to realize their vast number of applications, as material has strong anisotropic properties, in addition chemically active edge sites over inert in-plane MoS2 flakes is very important for catalytic activities. Here, we demonstrate growth dense and edge-enriched vertically oriented MoS2 (V-MoS2) using MOCVD technique with deposition temperature as low as 250°C. SEM results demonstrated the vertically oriented growth and high density of edge terminated MoS2 sheets. While Raman and XPS confirm MoS2 composition of sheets with good quality. At Room temperature, there is strong photoluminescence emission from sheets due few layer structures.
Electrical properties of InGaN nanostructures with branched morphology synthesized via MBE on p-type Si(111)
Authors: Gridchin V O , Kotlyar K P , Reznik R R , Borodin B R , Kudryashov D A , Alekseev P A , Cirlin G E 
Published: December 2020

Abstract
The work is devoted to the study of electrical properties of InGaN nanostructures with branched morphology (NSs) on p-type Si substrates. It was found that the IV curves between InGaN NSs and p-Si are close to linear, which could indicate a tunneling conductivity. Such unique structures as InGaN NSs on p-Si can be used as building blocks for water splitting devices and tandem solar cells.
The influence of the morphology of oxidized copper nanoparticles on the electrical properties of microstructures obtained by dry aerosol printing
Authors: Kornyushin D V , Efimov A A , Khabarov K M , Ivanov V V 
Published: December 2020

Abstract
The influence of the morphology of oxidized copper nanoparticles on the deposition efficiency, packing density, and resistivity of microstructures obtained by dry aerosol printing was studied. It has been established that the thermal treatment of aerosol nanoparticles allows to vary their morphology from branched submicron agglomerates to compact spherical nanoparticles with a size of 20-50 nm. It is shown that the use of spherical nanoparticles in comparison with agglomerates allows one to obtain densely packed nanoparticles on substrate. Moreover, obtaining of semiconductor microstructures from oxidized copper nanoparticles on a plastic substrate with a resistivity of 0.01 Ohm • m was demonstrated.
Ordering mechanism of silver nanoparticles synthesized in a ZnO:Al polycrystalline film by sol gel method
Authors: Sokura L A , Snezhnaia Zh G , Nevedomskiy V N , Shirshneva-Vaschenko E V , Romanov A E 
Published: December 2020

Abstract
The optical absorption spectra and structural properties of ZnO:Al films with an intermediate layer of silver nanoparticles with a different number of inserted layers of silver nitrate solution are studied. The study of optical properties showed that with an increase in the number of layers, the intensity of the plasmon absorption peak of nanoparticles increases. Consequently, with an increase in the number of layers, their density increases, it was confirmed by studies of the obtained samples structural properties by transmission electron microscopy.