bluuebunny/crossref_metadata_2025_split huggingface dataset:
Machine learning autonomous identification of magnetic alloys beyond the Slater-Pauling limit
Authors: Iwasaki Yuma , Sawada Ryohto , Saitoh Eiji , Ishida Masahiko 
Published: March 2021

AbstractDiscovery of new magnets with high magnetization has always been important in human history because it has given birth to powerful motors and memory devices. Currently, the binary alloy Fe3Co1 exhibits the largest magnetization of any stable alloys explained by the Slater-Pauling rule. A multi-element system is expected to include alloys with magnetization beyond that of Fe3Co1, but it has been difficult to identify appropriate elements and compositions because of combinatorial explosion. In this work, we identified an alloy with magnetization beyond that of Fe3Co1 by using an autonomous materials search system combining machine learning and ab-initio calculation. After an autonomous and automated exploration in the large material space of multi-element alloys for six weeks, the system unexpectedly indicated that Ir and Pt impurities would enhance the magnetization of FeCo alloys, despite both impurity elements having small magnetic moments. To confirm this experimentally, we synthesized FexCoyIr1-x-y and FexCoyPt1-x-y alloys and found that some of them have magnetization beyond that of Fe3Co1.
Dipole patterns in tropical precipitation were pervasive across landmasses throughout Marine Isotope Stage 5
Authors: Nilsson-Kerr Katrina , Anand Pallavi , Holden Philip B. , Clemens Steven C. , Leng Melanie J. 
Published: March 2021

AbstractMost of Earth’s rain falls in the tropics, often in highly seasonal monsoon rains, which are thought to be coupled to the inter-hemispheric migrations of the Inter-Tropical Convergence Zone in response to the seasonal cycle of insolation. Yet characterization of tropical rainfall behaviour in the geologic past is poor. Here we combine new and existing hydroclimate records from six large-scale tropical regions with fully independent model-based rainfall reconstructions across the last interval of sustained warmth and ensuing climate cooling between 130 to 70 thousand years ago (Marine Isotope Stage 5). Our data-model approach reveals large-scale heterogeneous rainfall patterns in response to changes in climate. We note pervasive dipole-like tropical precipitation patterns, as well as different loci of precipitation throughout Marine Isotope Stage 5 than recorded in the Holocene. These rainfall patterns cannot be solely attributed to meridional shifts in the Inter-Tropical Convergence Zone.
Behavioral Treatment for Benign Vocal Fold Lesions in Children: A Systematic Review
Authors: Feinstein Hagar , Abbott Katherine Verdolini 
Published: March 2021

Purpose
This systematic review aims to identify, classify, and evaluate existing information regarding treatment for benign vocal fold lesions in children and to identify gaps and limitations that may limit effective pediatric voice treatment.

Method
A literature search was performed using electronic databases (PubMed and Google Scholar) as well as reference lists from previous reviews, studies, and books. Included in the present review are studies that described behavioral treatment for children with benign vocal fold lesions presumed to be phonotraumatic (vocal fold nodules and edema).

Results
Twenty-one studies were eligible for inclusion in the review. Eight different research designs were used, and three intervention types were identified: direct voice intervention (voice training), indirect treatment (vocal hygiene or counseling), and comparative studies that contrasted different treatment methods. The most commonly used treatment method was eclectic direct intervention, which focused on vocal exercises or voicing patterns. Postintervention improvement was reported in all studies. In general, findings suggested an advantage of direct over indirect intervention and of longer treatment duration over short-term approaches.

Conclusions
The findings suggest that behavioral voice therapy may be generally effective in treating children with vocal fold nodules. Several limitations emerged in the corpus of studies reviewed including heterogeneity of research methods, missing information about outcome measures, and inappropriate statistical analyses. Thus, a need exists for further well-designed controlled studies to enhance the body of knowledge about developmental factors affecting vocal treatment outcomes, in particular, vocal fold structure as well as cognitive and linguistic development.
RETRACTED: Design and implementation of construction prediction and management platform based on building information modelling and three‐dimensional simulation technology in Industry 4.0
Authors: Sun Hailing , Fan Miao , Sharma Ashutosh 
Published: March 2021

AbstractIn competitive growth and Industry 4.0, construction prediction and management have a key role. To find a way to provide a simulation method for the damage assessment of buildings and Industry 4.0, building information modelling technology is the most suitable choice. This work presents and analyses the building material from design modelling to model information extraction, virtual construction, and an imported virtual simulation engine. A simulation system has been built to understand the force and material collision detection of buildings, and a three‐dimensional (3D) simulation platform is developed based on the Unity3D engine. A 3D display of building model and simulation data is realized in this work based on the simulation software platform. The results show that the building 3D simulation images constructed by the designed system are high definition, take little time, and have excellent performance. The outcomes are realized in terms of the engineering cost ratio and have energy consumption and efficiency values of 20% and 40%, respectively, which are much better than the traditional method. Efficiency has also improved to 76% from the traditional method using the proposed method, which makes it a robust platform for construction prediction and management in industries. The virtual simulation technology is applied to solve problems of building design and damage assessment. The influence of this technology on the overall design of the building is discussed, followed by future development directions for industrial automation.
The shape synthesis of 3D electrically‐small conducting surface antennas
Authors: Alakhras A. , McNamara D.A. 
Published: March 2021

AbstractThe application of a shape synthesis process for electrically‐small three‐dimensional (3D) conducting surface antennas is described. A script (shaping manager) links a computational electromagnetics engine and genetic optimisation algorithm, and implements a prescribed process that shapes the antenna from any specified starting shape until a self‐resonant structure is produced whose performance satisfies requirements incorporated into an objective function defined in the shaping manager. Examples of successfully shape synthesized 3D antennas are discussed.
Frequency support control of two‐stage photovoltaic grid‐connected system based on virtual governor
Authors: Li Hui , Tan Hongtao , Bao Guangqing , Xie Xiangjie , Chai ZhaoSen , Yang Tian , Ding Kun 
Published: March 2021

AbstractGiven the urgent need for photovoltaic (PV) energy to participate in grid frequency regulation, a control strategy of the DC/DC converter of a two‐stage PV system based on the virtual governor (PV‐VG) is proposed in this paper. First, a one‐step PV maximum power point estimation (MPPE) method is proposed, which can obtain the reference voltage corresponding to the maximum power point and the power deload point, and some complex iterative calculations and sampling processes are circumvented. Then, based on the constant DC bus voltage of the two‐stage PV system, the coupling mathematical model of boost circuit duty cycle (D) and PV output power is established. According to the power setting and frequency deviation, the D is taken as the direct control target to reflect the direct coupling characteristics of D and grid frequency (f‐D) so that the PV system can adjust the output power reference independently according to the grid frequency deviation. Finally, a simulation model is built in Matlab/Simulink and RT‐LAB, and the results show that the accuracy of the proposed one‐step MPPE method is over 99.8%, and the correctness and efficiency of the PV‐VG control strategy are verified in some case study.
Bi‐level equilibrium of energy retailer–smart energy hub game in integrated energy market
Authors: Sheikhi Aras , Khazeni Sepideh , Rayati Mohamad , Ashourizadeh Alireza 
Published: March 2021

AbstractAn integrated view of energy markets has led to the introduction of new market participants named energy retailers (ERs). Competition among ERs in an integrated market greatly improves market performance in areas such as sustainability, supply security, and environmental awareness. ER performance is evaluated in an integrated market with emission penalty reduction in the objective function. Bi‐level programming is used to model an ER game, and the equilibria of different configurations are compared. In the game's first level, ERs offer various energy carrier selling prices to optimise profits. In the second level, consumers respond by switching from the retail market to minimise their energy bills. This complex problem is simplified utilising a discretisation method based on Nash theory. The configuration scenarios include different structures, components, and ER–user transactions. The effectiveness of the proposed configuration scenarios is validated by their implementation in an illustrative case study. Energy retailers purchase energy from various sources including bilateral contracts with energy suppliers, wholesale market participation, and self‐generation. Electricity retailers explicitly represent the difficulties of energy procurement and bidding strategies. Simulation results for the proposed energy system model indicate better performance than that of the base case and a noticeable increment in retailer profit.
Detecting and locating cyber and physical stresses in smart grids using the k‐nearest neighbour analysis of instantaneous correlation of states
Authors: Hasnat Md Abul , Rahnamay‐Naeini Mahshid 
Published: March 2021

AbstractMonitoring the state of smart grids and detecting abnormalities are challenging tasks due to their large size, distributed nature, and complex and stochastic dynamics. Large deployment of sensors and monitoring devices, such as Phasor Measurement Units, provides a large volume of data about the state of the system, which presents both new opportunities and challenges in monitoring these systems. Different types of cyber‐attacks have targeted the important function of monitoring smart grids and the integrity of the collected data. The multivariate time series of the state of components are analysed through their instantaneous correlation. The effects of multiple cyber‐attacks and single line failures in the system on the instantaneous correlations are discussed. Moreover, a machine learning method is proposed to use the features selected from instantaneous correlations in a k‐Nearest Neighbour classification for real‐time detection and locating of stresses. The presented method shows a promising performance, which has been evaluated under a large number of simulated scenarios.
Evaluation of Neonatal Acute Metabolic Crisis in Maple Syrup Urine Disease with MR Diffusion and MR Spectroscopy: Case Series and Review of the Literature
Authors: Chavan Rajendra , Kadam Sandeep , Bhalke Amit , Choudhary Sohan Lal , Patil Pushpak 
Published: March 2021

AbstractMagnetic resonance imaging (MRI) findings of acute metabolic crisis in maple syrup urine disease (MSUD) in neonates were reviewed. This case cohort study included six MSUD neonates imaged during acute metabolic decompensation. Specific diffusion imaging and proton spectroscopic findings were reviewed. All patients revealed extensive intramyelinic cytotoxic edema typically involving myelinated white matter structures. Brainstem, cerebellar white matter and peduncles, midbrain, posterior limbs of internal capsules, central portions of periventricular, and perirolandic white matter regions showed typical MSUD edema. Gray matter structures such as dentate nucleus and thalamus were involved in all patients. Involvement of other deep nuclei was also noted in a few patients. None of the patients showed involvement of the superficial cortex. Reduction in N-acetyl aspartate, a prominent lactate peak, and a peak representing methyl groups of amino acids were characteristic findings seen on intermediate short echo time MR spectroscopy. Our case series outlines the importance of diffusion and spectroscopy MR techniques in the diagnosis of acute neonatal MSUD metabolic crisis.
Vertical patterns of leaf physiology and biofilm characteristics for submerged macrophytes in a shallow subtropical lake
Authors: Wang Yiping , Jiang Wei , Cheng Yi , Li Dujun , Zhang Zhuolun , Zhang Xinhou , Wang Guoxiang 
Published: March 2021

Little is known about vertical patterns of leaf characteristics for submerged macrophytes in freshwater ecosystems. Here, after sampling Ceratophyllum demersum and Hydrilla verticillata in deep (3.8 m) and shallow areas (1.0 m) in a shallow subtropical lake, we cut the individuals into segments along the vertical direction, and measured leaf biofilm and physiology characteristics. In the deep area, leaf pigment concentrations showed declining trends with an increasing water depth, but the enzymatic specific activity of peroxidase (POD-ESA) was precisely the opposite. Moreover, the amount of attached biofilm matter and epiphyte biomass were greatest on leaves of upper middle segments, and lowest on bottom segments. In the shallow area, bottom leaves of C. demersum had more attached biofilm matter and epiphyte biomass, but the opposite was true for H. verticillata. Additionally, leaf chlorophyll-a concentration was higher on the bottom segments for H. verticillata, and C. demersum had a higher POD-ESA in bottom leaves. Our analysis found that vertical pattern of leaf physiology was closely related to light intensity, and biofilms played an auxiliary role. Our study highlighted vertical patterns of leaf biofilm and physiology for submerged macrophytes, and suggested that such patterns are generally species-specific, especially in shallow areas.
Covid-19 The Earliest for Digital Learning in Mathematics: an Overview from Technology Literacy
Authors: Ratnaningsih N , Ni’mah K , Hidayat E 
Published: March 2021

Abstract
The Covid-19 Pandemic has caused the learning system in Indonesia to change from conventional learning to digital learning. Various efforts have been made by policy makers and educators. Some of the efforts that have been made include the provision of Free Internet Quota from the Government to educators and students; as well as providing virtual conference facilities used in learning. The purpose of this study was to describe the technological literacy of students during Covid-19 period. The type of research used is qualitative research with a narrative approach. The data collection technique used a questionnaire. The target of this study were students junior high school and senior high school in the East Priangan region Indonesia who were asked to fill out a questionnaire about technological literacy in online learning as a result of this Covid-19. The data on technological literacy capabilities contains four indicators according to the Ministry of Education and Culture’s Guidelines for “School Literacy movement”, namely indicators of content, process, context, and ethics. The four indicators contain 19 questions. The results show that students need to improve their technological literacy skills by adopting technology in line with global trends and realities that arise in learning in schools.
Antioxidant Activity Test of Chayote (Sechium edule (Jacq.) Swartz) Ethanol Extract using DPPH Method
Authors: Daulay A S , Ridwanto  , Syahputra R A , Nafitri A 
Published: March 2021

Abstract
The chayote (Sechium edule (Jacq.) Swartz) is thought to have excellent antioxidant activity. Fresh chayote has been used empirically by the public as an antihypertensive and to reduce cholesterol levels. This is because chayote contains several vitamins including vitamin A, B, C, and several secondary metabolites. The antioxidant activity found in chayote can prevent the oxidation of a molecule thus stopping the free radical chain reaction and maintaining the working system in the body. This study aims to determine what secondary metabolites are contained in the ethanol extract of chayote and to determine their antioxidant activity. The chayote used is young and old. The research stages were extraction by maceration method, phytochemical screening, determination of functional groups using the FT-IR method, and testing for antioxidant activity using the DPPH method (1,1-diphenyl-2-picrylhydrazyl). The results of the phytochemical screening of the chayote’s ethanol extract contained chemical compounds of the alkaloids, flavonoids, saponins, tannins, and glycosides. The FT-IR results of the chayote extract showed the presence of functional groups O-H, C-H, C-N, C = C, C≡C, and C-O. The results of the examination of antioxidant activity using the DPPH method for the ethanol extract of young and old chayote fruit obtained IC50 values of 1281.1 and 847.5 µg/ml.
Comparison of Cm ACS-7 Gene Expression in Melon (Cucumis melo L.) Flowers
Authors: Daryono B S , Prasetya E 
Published: March 2021

Abstract
Melon (Cucumis melo L.) is a member of the Cucurbitaceae family spread throughout the world. Melons have very varied sexual types, which can be important information in genetic analysis and breeding. Sex type jumps from genetic factors, environmental factors, and environmental conditions. The aim of this study was the expression of CmACS-7 gene expression in melon flowers in various sexual types. This study used melons with andromonoecious sexual types (Melodi Gama 1 and Melodi Gama 3 cultivars) and monoecious (PI 371795 and Bartek). This study uses quantitative PCR analysis using real-time PCR with relative quantitative methods. RNA was isolated and then synthesized into cDNA, then amplified using specific primers. The number of cDNA specific genes was analyzed using Real-time PCR to calculate the level of gene expression. The results showed that the CmACS-7 gene was expressed more in female and hermaphrodite flowers than in male flowers. In male flowers with andromonoecious sexual type, the CmACS-7 gene is expressed more than in male flowers with monoecious sexual type. This research is expected to be important information in breeding melon plants.
Analysis of Pakcoy Mustard (Brassica rapa ) Growth using Hydroponic System with AB Mix Nutrition
Authors: Hermanto B , Habibie Dian , Lubis A F , Syahputra R A 
Published: March 2021

Abstract
This study aimed to determine the growth of leaves and roots in the pakcoymustard (Brassica rapa) using hydroponic system with the AB Mix nutrition fertilizer. The data analysis used was to measure the number of leaves (Jd), leaf width (Ld), leaf length (Pd), number of roots (Ba), root length (Pa), and plant weight (Bt). Plant tools and media used were pipes, net pots, panel cloth, rockwool, TDS/EC, and water. The results of the analysis showed that the treatment of AB Mix nutrition gave a significant effect on the meter observing the number of leaves, leaf width, leaf length, number of roots, and root length. At the age of one week the number of leaves consists of three, leaf width: 0.5 cm, leaf length: 1.5 cm, there are 3 roots with the root length: 1 cm. At the age of two weeks, the number of leaves consists of 6, wide: 2 cm, long: 5 cm, there are 5 roots with the long: 3.5 cm. At the age of three weeks the number of leaves consists of 9 leaves, wide: 4 cm, long: 8 cm, there are 9 roots with the long root: 7.5 cm. At the age of four weeks the number of leaves consists of 11 leaves, leaf width: 8 cm, leaf length: 12 cm, there are 13 roots with the root length is 12 cm and a weight plant is 100 gram/plants to use AB Mix nutrients. It is showed that the growth and development of mustard pakcoy ( Brassica rapa ) hydroponic system with AB Mix nutrition has a significant effect on the growth of leaf number (Jd), leaf width (Ld), leaf length (Pd), number of roots (Ba), root length (Pa) and plant weight (Bt).
Reactive Power Optimization of Distribution Network with Distributed Generators by Improved Evolutionary Programming Algorithm
Authors: Hao W B , Yan Q Y 
Published: March 2021

Abstract
In the distribution network containing distributed generators (DG), both DG and capacitors can be adjusted for reactive power, and there is a strong complementarity between the two. If the reactive power compensation ability of each grid-connected DG can be fully utilized, it will effectively reduce the voltage fluctuation and the number of equipment actions, which will help to improve the operation level of the distribution network. In this paper reactive power optimization of distribution networks containing distributed power sources has studies. An improved evolutionary programming (EP) method is proposed to solve the optimization goal, using a variable step-size evolution method and optimization strategy with small population and high convergence accuracy. The algorithm improves the random dynamic step method. In different stages of optimization, different step sizes are used to improve the optimization effect. At the same time, considering that some wind farms are equipped with AVC and some wind farms are equipped with capacitor banks, the evolutionary operator is improved. The operator evolves directly on the integer, so it is easier to find the global optimal solution. This paper has used IEEE33 bus system to verification. Results show that the DG can reduce active power loss in distribution network and ameliorate the voltage level. Meanwhile, the improved evolutionary programming method has good optimization effect, fast convergence speed and high search efficiency.
Telemetry data integrity monitoring system
Authors: Berkholts V V , Vulfin A M , Frid A I 
Published: March 2021

Abstract
The article presents a way to improve the system for monitoring the integrity of telemetric information received from a mobile object. The method is based on comparing telemetry information received from a mobile object and information generated by a model. The comparison is carried out on the basis of proximity metrics of technological time series using deep learning neural networks
Problems with the use of forensic techniques in the judicial investigation of the authenticity of an electronic digital signature.
Authors: Gordienko V V , Kryzhevich L S , Glagolev R V 
Published: March 2021

Abstract
This article aims to study the tactical foundations of conducting a forensic study of the authenticity of an electronic digital signature and documents that raise doubts about their reliability. The methodological foundations of identification, classification and search studies of “electronic traces” and signatures of the transformation made on the basis of algorithms with imitation and use of the latest methods are given. To identify “electronic traces” the functions of using hardware and technical means for counterfeiting an electronic signature are specified and methods of establishing to determine the kind and type of a particular device on which the documented information was manipulated. There are considered sets of features that allow identifying parts and details of documents subjected to an unsanctioned modification, as well as a specific list of correctly formulated questions, which should be put to the expert in the decision on the appointment of an examination to determine signs of forgery.