bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of Film Production Mobile Learning Application for Android Platform
Authors: Vijayan Kuhaneshwaran , Ismail Mohd Norasri , Suparjoh Suriawati 
Published: April 2021

Abstract
Over the years, the film has changed as well as the pattern of how audiences watch movies. Youngsters nowadays are very fond of shooting videos and uploading them online. However, mobile learning applications for filmmaking are limited. Therefore, this paper presents the development of a mobile learning application named Film Geek for the Android platform. The objective of this project is to design and develop three main learning modules for filmmaking which are screenwriting, cinematography and directing. The methodology of this project consists of three phases which are requirement identification, system design and development and testing and evaluation which is adapted from the prototyping model. This mobile learning application has been developed using Microsoft Xamarin, a native cross-platform mobile application development framework. Furthermore, Firebase Real-Time cloud database was chosen for storing the application and user’s data. Functional and usability testing has been performed to evaluate the developed mobile learning application. The result of the testing shows that the functionality of the mobile learning application completely works (100%) as expected. Also, the usability test result of this application using SUS instrument achieved 86.3% which is within the acceptability ranges.
New Topp Leone-G Family with Mathematical Properties and Applications
Authors: Hassan A S , El-Sherpieny E A , El-Taweel S A 
Published: April 2021

Abstract
In the last few years, the Topp-Leone-G family has been regarded with various statistical applications. In this paper, efforts have been made to introduce a new family of distribution as an alternative to Topp-Leone-G distribution through a useful transformation with flexible hazard rate and greater reliability which we call new Topp-Leone-G (NTL-G) distribution. Some new special models and some statistical properties such as, expansions, probability weighted moments, moments and Rényi entropy are provided. The maximum likelihood method is used for estimating the model parameters. For the applied side, new models can be created in view of fitting data set. This last point is illustrated by consideration of the exponential distribution as baseline. A real data set is employed which represent the observations of ordered failure of some components. The obtained results show that, the NTL-G family is very competitive in comparison to other well implanted general families.
Augmented reality and virtual reality revolutionize rusiness transformation in digital marketing tech industry analysts and visionaries during Coronavirus (COVID 19)
Authors: Ekmeil F A R , Abumandil M S S , Alkhawaja M I , Siam I M , Alaklouk S A A 
Published: April 2021

Abstract
Virtual Reality (VR) and Augmented Reality (AR) are among the new innovations that provide digital marketing platforms with immersive services for Companies.. While several VR/AR applications have been built to reveal details on digital marketing pages, they still lack of comprehensive models which taking into consideration the elements of informal marketing experience in the development of such applications. This study contributes a conceptual model to serve as guidelines for developing a augmented reality that considers an foundations informal learning component in business. This paper provides a thorough overview of new augmented reality (Ar) and virtual reality (VR) technology in ten critical areas where the application of augmented reality and virtual reality is growing at present. The aim of this research is to highlight how the consumer experience in digital marketing is changed and enriched by augmented reality and virtual reality. The authors present the subject of augmented reality and virtual reality briefly. They further describe the technological and hardware technology needed to incorporate a framework of augmented reality and virtual reality and the various types of displays needed to enhance the user interface. Also briefly mentioned is the rise of AR in markets. The implementations of AR are discussed in the three parts of the article. The use of augmented reality and virtual reality as a component of television and gaming is illustrated in multiplayer gaming, electronic games, broadcasting, and immersive films. Manufacturing, beauty industry, healthcare, planning to business, transformation marketing and fight against COVID-19 crisis. This study contributes a conceptual model to serve as guidelines for developing a augmented reality that considers an foundations informal learning component in business.
Asset tagging for library system - does QR relevant?
Authors: Din Marina Md , Anwar Rina Md. , Fazal Fazla Ahmad 
Published: April 2021

Abstract
This research paper is to review the techniques available in asset tagging or labelling such as barcode, RFID, and QR Code. It is known that QR codes are mostly used for marketing and promotion, information dissemination, and localization. By taking advantage of the increasing use of smartphones and their ability to read QR codes, the researchers attempted to implement QR codes on the existing system for improvement where it could facilitate users in borrowing or reserving library materials. The current web-based system allows users to borrow books however book reservation is only possible for physical materials available in the library repository. With the implementation of the QR code, this flaw can be solved.
Integration of Web-Based and Mobile Application with QR Code implementation for the library management system
Authors: Din Marina Md , Fazal Fazla Ahmad 
Published: April 2021

Abstract
In recent years, the various institution has adopted the use of two-dimensional bar codes which are also known as Quick Response (QR) Code for information dissemination which can be decoded using smartphones, digital tablets, and other electronic devices. One of the institutions’ benefits from QR usage is the libraries to promote their services as well as in asset tagging. This paper proposed the use of QR codes on the existing library system in one of the private higher learning institutions in Malaysia for fast data retrieval at a minimal cost. Random functional acceptance tests (FAT) were conducted and improvements were made accordingly. In this proposed work, the physical location of the library assets can be found easily, fast retrieval of information, and hence the unnecessary wastage of time is avoided.
Automatic Generation of Web Applications for Information Systems
Authors: Atencio Yalmar Ponce , Ibarra Manuel J. , Marin Julio Huanca , Holguin Edgar Holguin 
Published: April 2021

Abstract
The use of automation tools for software development or so-called Computer Aided for Automatic Software Construction tools is a sign of a high level of maturity for the software development process, and is especially necessary when is needed to build information systems, where many parts or modules of a bigger projects have similar features and functionalities. Among others, Automatic Software Construction tools often include code generation software based on templates. Template-based code generation involves the automatic creation of source code or some code output corresponding to a predefined format called a template. In this article, a software architecture for automatic software construction is presented. The tool allows prototyping software modules, projects and functional code to different needs and purposes. The basis of this technical solution is the creation of a general template representation format, which includes many common source code, configuration data files, and a function library that allows you to interpret the input model and use the template for creating objects from different types based on the input data. The generation algorithm and the automatic integration method use a database model in order to define the main behavior of the generated software. The achieved results shown the creation of complete functional web applications, and since the complete source code is generated, is possible customize for improve or add different or specific functionalities.
Adoption of Data Warehouse in University Management: Wasit University Case Study
Authors: Neamah A F 
Published: April 2021

Abstract
Presently, the utilization of traditional data instrument and technologies are incapable of managing the load and analytic process of data that can be translated into significant information for top management. It is observed prevalently that Information Technology is becoming an important source for the dissemination of knowledge by the Education in order to retain competitiveness in education systems and for adaptation purposes alongside the dynamic setting of the business. The study of the growth of higher education indicates that the Iraqi higher education has entered a rapid phase of progress. Thus, the optimization of universities is imperative under the circumstances. The main goal of the implementation of a data warehouse is in the conversion of the abundance of data into information that can be used in the improvement of admission, examination, examination results and other processes. In this paper, we highlighted the need of data warehousing for higher education and provided an approach to build the warehouse suitable to Waist University and may be to similar universities in Iraq.
The influence of the light spectrum on the growth and development of greenhouse plants on the example of cucumber culture (Cucumissativus L., Cucurbitaceae family)
Authors: Khomyakov A , Neznamova E , Tereshchenko N , Tuev V 
Published: April 2021

Abstract
The aim of the work is to develop the lighting mode for the cucumber photoculture. The developed lighting mode should intensify production process by optimizing spectral characteristics of the light sources used at different stages of the life cycle of the plant. The authors conducted experiments on the cultivation of cucumber culture under conditions of ecosystems of small volume with artificial illumination. As the lighting sources, LED elements with phyto-oriented spectra were used. Based on dynamics of phenological and morphometric parameters and productivity of plants, the authors concludes that pre-sowing irradiation provided positive effect on seed germination. Artificial lighting sources with additional red LEDs (625nm in the ratio 9:2) accelerated the development of the vegetative and generative systems. Illumination by white spectrum LEDs (Ra80, CCT 3000 K) contributed to improving the efficiency of photosynthesis processes extended the period of active life of the plants. The authors proposed variants of artificial lighting with the use of light sources composed of LEDs of different spectra for the effective cultivation of cucumber according to different stages of plant life cycle.
Application of the Prony method for biometric data analysis
Authors: Elenets M V , Nemirovich-Danchenko M M 
Published: April 2021

Abstract
The paper deals with the processing of numerical series using the spectral estimation methodology. The methodology is based on the Prony transformation. The conversion lets you represent the original number series as a new series. The new series is a linear combination of exponential functions. The article presents the basic concepts and relations of the Prony transformation, and also analyzes the behavior of individual components of the transformation for typical cases. The features of the Prony method are analyzed. Shown are the individual stages of the algorithm, the problems of a specific implementation. The Prony method was used to process the recordings of the electroencephalograms of the operators in their mental representation of movements. This allows us to assume the possibility of using the described methodology in identifying EEG correlates of motor imagination in the space of the roots of polynomials
Formation of emission plasma by a constricted arc discharge in a pulsed forevacuum plasma-cathode electron source
Authors: Kazakov A V , Oks E M , Panchenko N A 
Published: April 2021

Abstract
The research of generation of emission plasma by a constricted arc discharge in the discharge system of a pulsed forevacuum plasma-cathode electron source is presented. Formation of emission plasma by the constricted arc discharge in the forevacuum electron source has provided elimination of penetration of the cathode material into the hollow anode, i.e. into region of emission plasma formation. As compared to plasma-cathode electron sources generating electron beams in pressure range 10−3–10−1 Pa, for the forevacuum plasma-cathode source higher operation pressure in the hollow anode (7–21 Pa) has caused strong dependence of emission plasma density on gas pressure. In particular, an increase of the gas pressure has led to a decrease of the plasma density at distance from the constricting channel.
Software tool for modelling active vision areas of tomographic systems
Authors: Chaldina E , Movchan A , Kapustin V , Kuryachiy M 
Published: April 2021

Abstract
An algorithm for calculating the shape of the active vision area of active-pulse television measuring system is proposed and implemented in the MATLAB software. Methods for determining the range of such systems, implemented in this software environment, are described. The software environment corresponds to the operation of an active-pulse system with settings for illumination pulses duration from 1 ns to 250 ns and settings for strobe pulses duration from 1 ns to 500 ns, and the maximum observation depth of the vision area is 80 m.
Adaptive segmentation of multiconductor transmission lines in quasi-static analysis by the method of moments
Authors: Maksimov A , Kuksenko S 
Published: April 2021

Abstract
The paper proposes a new algorithm for constructing an adaptive mesh for quasi-static analysis of multiconductor transmission lines by the method of moments. Its versatility in analyzing transmission lines with complex geometry is shown in comparison with well-known algorithms. The algorithm showed high accuracy of calculations, memory savings are at least 1.6 times, and calculation time savings are at least 1.7 times compared to a tight uniform mesh.
Visualization of neural network activity in the human brain based on fractal analysis
Authors: Marusina M Ya , Kalinkina M E 
Published: April 2021

Abstract
Methods for the quantitative assessment of signals based on functional magnetic resonance imaging data when studying the activity of neural networks in the human brain are presented. The algorithm of computational and analytical methods is implemented in the MATLAB environment, fractal analysis methods are selected as methods. Based on the developed algorithm, the FracLab software complex was created, with the help of which the signals received during the recognition of stimuli by 13 subjects were processed.
Sources of methodical errors in the approximation of the amplitude radiation pattern by a double Kotelnikov series in rectangle grid
Authors: Anikin A S , Ochirtarov A V 
Published: April 2021

Abstract
With regard to the amplitude bearing problem, quantitative estimates of methodical error are given when approximating the spatial amplitude chart of an antenna using a double Kotelnikov series. The area of approximation of the amplitude radiation pattern is limited by the main lobe. The methodical error of the approximation of the amplitude radiation is determined provided that the coefficients of the Kotelnikov series are calculated without error. In this approach, the methodical error takes into account two sources of error: the first source of error reflects the influence of finiteness of the series members, and the second source of error is the limited angle sector in the approximation area.
Error in the calibration of the receive paths due to nonlinear distortion of the transmitter at a multi-frequency control signal
Authors: Anikin A S , Ochirtarov A V 
Published: April 2021

Abstract
Errors of amplitude calibration of the receive paths due to nonlinearities of the transmitter by simulation are considered. Calibration shall be carried out using a multi-frequency signal with elongated orthogonal subcarrier corresponding to the reference frequencies. Calibration is performed by evaluating the complex frequency response of the receiving path at control frequencies by dividing the samples of the output signal spectrum of the path by the corresponding samples of the input signal spectrum. To describe the terminal amplifier of a non-inertial transmitter, a polynomial model is used that takes into account the distortion of the amplitudes of the output signals.
Mapping tree diversity in the tropical forest region of Chocó-Colombia
Authors: Fagua J Camilo , Jantz Patrick , Burns Patrick , Massey Richard , Buitrago Jeiner Y , Saatchi Sassan , Hakkenberg Christopher , Goetz Scott J 
Published: April 2021

AbstractUnderstanding spatial patterns of diversity in tropical forests is indispensable for their sustainable use and conservation. Recent studies have reported relationships between forest structure andα-diversity. While treeα-diversity is difficult to map via remote sensing, large-scale forest structure models are becoming more common, which would facilitate mapping the relationship between treeα-diversity and forest structure, contributing to our understanding of biogeographic patterns in the tropics. We developed a methodology to map treeα-diversity in tropical forest regions at 50 m spatial resolution usingα-diversity estimates from forest inventories as response variables and forest structural metrics and environmental variables as predictors. To include forest structural metrics in our modelling, we first developed a method to map seven of these metrics integrating discrete light detection and ranging (LiDAR), multispectral, and synthetic aperture radar imagery (SAR). We evaluated this methodology in the Chocó region of Colombia, a tropical forest with high tree diversity and complex forest structure. The relative errors (REs) of the random forest models used to map the seven forest structural variables ranged from low (6%) to moderate (35%). Theα-diversity maps had moderate RE; the maps of Simpson and Shannon diversity indices had the lowest RE (9% and 13%), followed by richness (17%), while Shannon and Simpson effective number of species indices had the highest RE, 27% and 47%, respectively. The highest concentrations of treeα-diversity are located along the Pacific Coast from the centre to the northwest of the Chocó Region and in non-flooded forest along the boundary between the Chocó region and the Andes. Our results reveal strong relationships between canopy structure and treeα-diversity, providing support for ecological theories that link structure to diversity via niche partitioning and environmental conditions. With modification, our methods could be applied to assess treeα-diversity of any tropical forest where treeα-diversity field observations coincident with LiDAR data.
Effects of maternal exposure to fine particulate matter on birth weight in 16 counties across China: a quantile regression analysis
Authors: Wu Kaipu , Hu Huanqing , Ren Zhoupeng , Benmarhnia Tarik , Ren Meng , He Simin , Knibbs Luke D , Meng Xia , Di Jiangli , Huang Cunrui , Wang Qiong 
Published: April 2021

Abstract
The adverse effects of air pollution during pregnancy have been studied intensively, but mainly utilizing linear and logistic models, which generally yield little information about how air pollution may change the distribution of birth weight in populations. We aimed to examine the effects of fine particulate matter (PM2.5) on quantiles of birth weight, and if effects were heterogeneous in different populations and regions. We used a prospective cohort study of 196 283 singleton term live births from 16 counties across China during 2014–2018. PM2.5 exposure for full gestation, each trimester and last gestational month were assessed by Inverse Distance Weighting interpolation. Linear and quantile regression were conducted to estimate associations between PM2.5 exposure and mean birth weight, as well as birth weight distribution, with birthweight z-score as the main outcome. Stratified analyses and Cochran Q tests were conducted by maternal and geographical characteristics. Each 10 µg m−3 increase in average PM2.5 over the entire pregnancy was associated with reduced birthweight z-score (−0.010, 95% CI: −0.015, −0.005) and birth weight (−3.21 g, 95% CI: −5.27, −1.15). In quantile regression, more pronounced effects were observed in lower and intermediate quantiles, with a decrease of 0.021 (95% CI: 0.033, 0.009) and 0.009 (95% CI: 0.015, 0.002) in the 5th and 50th quantiles of birthweight z-score, respectively. Additionally, we observed stronger associations among well-educated, migrant and primiparous mothers as well as in coastal areas. Maternal exposure to PM2.5 was associated with reduction in birth weight, especially for those with very low birth weight. Well-educated, migrant and primiparous mothers, as well as births in coastal areas may be more sensitive to PM2.5 in our study population. The results may be relevant to targeted public health interventions to reduce maternal exposure to air pollution.
The effect of murashige and skoog (MS) modified medium and several types of auxins on the growth of stevia (Stevia rebaudiana bertoni) in vitro
Authors: Asmono S L , Rahmawati  , Sjamsijah N 
Published: April 2021

Abstract
The aims of this research is to testing the use of several types of auxins with the same concentration (0.2 ppm IAA; 0.2 ppm NAA; 0.2 ppm IBA) and modification of MS media (1/4 MS; 1 / 2MS; MS full ). Parameters observed included roots number, roots length, plantlets length and velocity of root emergence. The result shown that roots appeared influenced by the modification of MS media, the fastest root appearance was in the treatment using full MS and 1/2 MS on 14 and 15 DAS (day after showing). The several types of auxin and the modification of MS media were very significant. The number of roots parameter also resulted from the interaction between the auxin type and the modification of MS media which had a very significant effect. At the end of the observation (30 DAS) highest number of roots with an average of 4.23 was found in the using NAA treatment, with 1/2 MS. The modification of MS media is more optimal increasing roots length is at 1/2 MS. The modification of MS media which is more optimal in increasing length of plantlets at full media and was not significantly different with 1/2 MS.
Selection and evaluation of agronomic character of high temperature tolerant mutant gogo rice (Oryza sativa L) in nursery phase
Authors: Rahmawati D , Dewi AK , Endah Prasetya AW 
Published: April 2021

Abstract
Increasing global temperatures due to climate change have a negative impact on crops. The aim of this research is to study the selection and evaluation of agronomic characters between mutant lines and comparison varieties against high temperature stress in the nursery phase. This research was conducted from September to December 2019 in the PAIR-BATAN (Isotope and Radiation Application Center-National Nuclear Technology Agency) greenhouse. This study used a qualitative descriptive method with a high temperature stress score according to the International Rice Testing Program (IRTP). The genetic material used was 64 numbers of the third generation Situgintung mutant lines tested and the comparison varieties were the N22 (high temperature tolerant) and IR52 (high temperature susceptible) variety and the original Situgintung variety. The results showed that of the 64 lines of the third generation of upland rice Situgintung, 15 lines were selected that had high temperature stress tolerance, namely 1 vulnerable line and 14 highly susceptible lines. The recovery score showed that there were 15 lines that were able to regrow after high temperature stress and had no different characters of agronomic diversity. Furthermore, to obtain homogeneous varieties of situgintung, purification and observation of the selected lines can be carried out.