bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of the first overtone bands of isotopologues of CO and SiO in stellar spectra
Authors: Pavlenko Yakiv V. , Yurchenko Sergei N. , Tennyson Jonathan 
Published: January 2020

Context.This study is based on models of the first overtone (Δv= 2) bands of the monosubstituted isotopologues of CO at 2.3μm in the spectrum of Arcturus (K2 III) and of the monosubstituted isotopologues of SiO at 4μm in the spectrum of the red giant HD 196610 (M6 III).Aims.We aim to investigate problems involving the computation of the first overtone bands of isotopologues of CO and SiO in the spectra of late-type stars and to determine isotopic abundances.Methods.We used fits of theoretical synthetic spectra to the observed stellar molecular bands of CO and SiO for determining the abundances for isotopes of C, O, and Si.Results.Fits of synthetic spectra of the12C16O first overtone bands at 2.3μm computed with three available line lists to the observed spectrum of Arcturus provide the same carbon abundance [C] = − 0.6 and isotopic ratio of carbon12C/13C = 10 ± 2. However, the quality of fits to the observed spectrum differ for three line lists used. Furthermore, the derived oxygen isotopic ratio16O/18O = 2000 ± 500 is larger than that known in the solar system, where16O/18O = 500. The silicon isotopic ratio in the atmosphere of the red giant HD 196610 has been revised. Using the ExoMol SiO line list with appropriate statistical weights for the SiO isotopologues, the “non-solar” ratio28Si:29Si:30Si = 0.86 ± 0.03:0.12 ± 0.02:0.02 ± 0.01 is obtained.Conclusions.We find that: (a) the computed isotopic carbon and silicon ratios determined by the fits to the observed spectrum depend on the adopted abundance of C and Si, respectively; and (b) Correct treatment of the nuclear spin degeneracies parameter is of crucial importance for today’s application of HITRAN and ExoMol line lists in the astrophysical computations.
A cognitive framework for understanding genre
Authors: Vergaro Carla 
Published: January 2020

AbstractThe purpose of this paper is to apply theEntrenchment-and-Conventionalization Model(EC-Model hereafter; seeSchmid 2014,2015,2016,2017,2018;Schmid & Mantlik 2015) of language knowledge to genre, with the aim of showing how a unified theory of the relation between usage and linguistic knowledge and convention can shed light on the way genre knowledge becomes entrenched in the individual and shared conventional behavior in communities. The EC-Model is a usage-based and emergentist model of language knowledge and convention rooted in cognitive linguistics and usage-based approaches. It sees knowledge as emerging from language usage, and explains the processes underlying the intertwining of social practice and cognition. However, so far, no suggestion has been advanced on how to extend the model to account for entrenchment and conventionalization at the supra-sentential level. In the area of genre studies various attempts have been made by scholars to develop or apply theories belonging to different scientific domains to understand the nature of genre. However, so far, there has been no research that applies a unified model in the attempt to link entrenchment of genres in individuals to their conventionalization at the societal level. I largely focus on the long tradition of rhetorical studies of genre, one among the different approaches that, over time, have regarded genre as their main topic of investigation. I concentrate on this tradition as it opens up the entire field of enquiry that defines contemporary genre research. To these I add by showing how the explanations provided so far can be cognitively clarified and unified under the EC-Model. The paper, then, argues that the EC-Model is theoretically apt to address questions about the nature of genre, capturing in an elegant way the interplay between cognition and social interaction in genre emergence, evolution, stabilization and variation.
Massive MIMO Detection Algorithms Based on MMSE-SIC, ZF-MIC, Neumann Series Expansion, Gauss-Seidel, and Jacobi Method
Authors: Wang Zixuan 
Published: January 2020

Abstract
The massive multiple-input multiple-output (MIMO) systems is an important technology in the fifth generation of mobile communication. To get the result of a MIMO system require some algorithm to approximate the precise result as the computation complexity is too large. There are several methods that have been advanced in the fitting, like zero forcing (ZF) method or minimum mean-square error (MMSE) method. However, in massive MIMO system, these methods require further simplify because of the increasing complexity of matrix inversion. In the papers, many methods were presented to get the approximation matrix: like MMSE-SIC, ZF-MIC, Gauss-Seidel, Jacobi and Neumann series expansion. The Jacobi’s iterative method and Newton’s iterative method both use iteration to approach the MMSE estimation. Their BER performance can outperform current methods and require less computational complexity. Almost every method can get a nearly ideal fit when the number of users or antennas is large enough. But when the number is small, the approximation will not be very accurate.
New Secret Key Agreement Scheme over Relay Communication Channel
Authors: Xing Li-Juan , Pan Feng , Jiang Xue-Qin , Peng Kaizhi , Wen Miaowen 
Published: January 2020

Abstract
The novel advantage distillation (AD) scheme for secret key agreement (SKA) scheme over relay communication system for the wiretap channel model is proposed. For the case where there are noiseless both the main channel and the eavesdropper’s channel, the SKA scheme for the noiseless relay communication (SKA-NRC) system is proposed. In this scheme, random sequences
qA

and
qB

are used as artificial interference to prevent eavesdropping. Simulation results show that with the proposed SKA schemes, the bit error ratio (BER) of eavesdropper Eve maintains stably at 0.5, while legitimate users Alice and Bob are able to get much lower BERs.
Image Encryption Using Fractional Order Linear-Nonlinear Chaos
Authors: Feng Gao 
Published: January 2020

Abstract
A fractional order chaos system is first designed. It is a linear-nonlinear hybrid using fractional order logistic map. The fractional order chaos system is closer to the real nature phenomena and has better cryptography features than the integer order chaotic systems in dynamics, such as larger range of key space and almost no periodic windows in bifurcation diagrams. Then, we propose an image encryption scheme employing the superior chaotic features of the fractional order chaos system. Which chaotic sequences generated are used for permutation and addition/subtraction operation of encryption depends on the plaintext image. Security analysis and test results indicate that our encryption scheme has a high efficiency and superior security.
Optimization of Lucy-Richardson Algorithm Using Modified Tikhonov Regularization for Image Deblurring
Authors: Khetkeeree Suphongsa 
Published: January 2020

Abstract
In this paper, we propose the method to optimize the iteration number of the Lucy-Richardson algorithm for image deblurring. This technique based on the modified Tikhonov regularization which composed of 2 parts which are designed for measuring the image similarity and noise enhancement due to the deblurring process. The regularization parameter will be used to control the desired deblurred image. Several sizes of the Gaussian blur kernel are applied for generating the degraded image in the simulation experiment. The Peak Signal to Noise Ratio (PSNR) metric is used to measure the deblurring performance. The results show that this method can be used to estimate the optimal iteration number and it also gives the PSNR value higher than the default Lucy-Richardson method and regularized filter all sizes of the experimental blur kernel. Moreover, it also tolerance to the deviated blur kernel especially it smaller than exact blur kernel.
Research on Course Planning for Multi-AEW Cooperative Detection based on Real-time Detection Area
Authors: Wanyong Cai , Liangfa Hua , Pei Zhu , Saiqiang Xia , Zhengxin Liu 
Published: January 2020

Abstract
This paper presents a concept of stable coverage degree and its quantitative formula, and two kind of cooperative detection modes was put forward, which was defined as Mode A and Mode B. On the basis of estimation models including the model for real-time detection area, the model for cross coverage area, and the model for course planning, the decision-making model for multi-AEW optimal deployment was given. Finally, the contrastive analysis on two models was provided by simulation computing, its results showed the Mode B surpass Mode A, and various internal and external factors were considered into estimation models, which can offers the applied basis for multi-AEW course planning.
The Machine Learning Solution based on Period and Deep Construction of Mobile Data for Predicting User Habit
Authors: Du Juan 
Published: January 2020

Abstract
Information analysis on user habit is becoming hotter as its value for many potential and profitable areas. However, how to excavate hard-core data and obtain the most effective information associated with research target, and how to obtain more precise prediction of user habit timely and fast on mobile terminals, are still big challenges. Most of the traditional methods use static data, which can no longer meet the requirements of the movable era, such as learning daily travel route and predicting the next most possible applications. Additionally, though algorithms based on Artificial Intelligence (AI) have boomed, many researches only based on direct data and pay insufficient attention to the deeper interrelation of data. This paper introduces two relevant AI models improving the phone memories; then, the main solution is recommended in detail. It mines some closely correlated parameters by specific mechanism named Linked Trigger (LT) and filtering policies for positioning, digging their underlying relations for better learning user habit by special construction ‘Directed Location Pair Application (DLPA)’. Based theseanalysis on the deep-seated connection between the collected data, the conditional probability referring Bayesian network is used to learn and predict the location habit and application habit.
Maximum Entropy Method without False Peaks with Exact Numerical Equation
Authors: Ishiyama Fumihiko 
Published: January 2020

Abstract
The standard numerical maximum entropy method (MEM) still uses the Yule-Walker equation which contains rough approximation by Walker. The commonly used numerical equation contains additional modifications to reduce calculation cost. Nowadays, we have powerful computers and there is no reason to use the modified equation. We show that the drawbacks of MEM such as false peaks and peak splittings are from the modifications. They do not appear when using the exact numerical equation, even a given time series is fractional.
Application of guided inquiry learning model based on inter-intrapersonal intelligence in chemistry classroom
Authors: Amrina H U , Sutrisno H 
Published: January 2020

Abstract
This study aims to determine the differences in the inter-intrapersonal intelligence of students who are taught with guided inquiry learning models based on inter-intrapersonal intelligence with students who are taught with direct instruction models on electrolyte and non-electrolyte solution materials. This research is a quasi-experimental study using a post-test only research design. This study used one experimental group and one control group. Students in the experimental group (N = 34) was taught using the guided inquiry learning model based on inter-intrapersonal intelligence in learning activities, while the control group (N = 34) was taught using the direct instruction model. The instrument used in this study is an inter-intrapersonal intelligence questionnaire. The data analysis technique of the research results used in this study is the independent t-test technique with a significance level of 0.05 and was found 0.038. The mean scores of inter-intrapersonal intelligence questionnaire in the experimental class was 62.35 while in the control class was 58.96. This means that there is a significant difference in inter-intrapersonal intelligence between students taught in learning with guided inquiry learning models based on inter-intrapersonal intelligence and students who take learning using direct instruction learning models on electrolyte and non-electrolyte solution materials.
An analysis of representation level and cognitive level in curriculum-2013 chemistry textbook
Authors: Setyowati P A , Sutrisno H 
Published: January 2020

Abstract
This paper aims to describe 10th-grade chemical textbook, representation level from the materials and tasks in chemical bonding chapter, cognitive level based on Bloom’s taxonomy in chemical bonding chapter, and use of representation level in questions and textbook. Some problems arise related to the achievement of the curriculum from the implementation of the use of textbooks. Textbooks can be used as students’ reference in finding knowledge. Data collection was conducted by analyzing three 2013 Curriculum chemistry textbooks related to the suitability of textbooks, the representation level, and cognitive tasks of chemical bonding materials. Suitability of textbooks identified by three of Indonesia’s Regulation of the Ministry of Education and Culture. The representation level was identified by chemical bonding chapter from the textbook. The problems were identified based on the cognitive level and the representation level. The results show that three chemistry textbooks consisted of the display, content, activity load, curriculum basic framework, level of education, and material scope. The materials and tasks include macroscopic, sub-microscopic, symbolic, and mathematics. The cognitive level based on Bloom’s taxonomy is at the level of remembering, understanding, applying, and analyzing. The representation level used is assisted by technology for images, videos, and slides.
The development of acid-base e-chemistry magazine as interactive teaching materials
Authors: Tarawi O , Noer A M , Linda R 
Published: January 2020

Abstract
E-Chemistry Magazine that has been developed is a teaching materials that utilizes the development of technology to improve the quality of a learning process. The objective of this research is to develop an interactive e-chemistry magazine for the acid-base course unit. The method used in this research is the Plomp model research and development (R&D) design. This research consists of three phases, (a) preliminary research phase, (b) prototype or development phase, and (c) assessment phase. The result of this research indicates that acid and base e-chemistry magazine is considered to be strongly valid by the content and media experts. The responses from teachers and students regarding the acid and base e-chemistry magazine are very good and very interesting. This suggests that the production of acid and base e-chemistry magazine meets the decent criteria to be used as interactive teaching materials in the learning of chemistry for the acid-base course unit.
Improving problem-solving ability in physics through android-based mobile learning application
Authors: Gebze D A , Jumadi  , Perwati S 
Published: January 2020

AbstractThe purpose of this study is to know the improvement of problem-solving ability in physics material (light reflection on concave and convex mirrors) before and after being taught by using Android-based learning media. The subjects of this study were the students of class XI MIPA 2 at MAN 2 Yogyakarta which consisted of 27 students. The design of this study is one group pretest-posttest and includes a Pre-Experiment study. Data collection techniques using problem-solving tests and technical data analysis using inferential and descriptive analysis. The inferential analysis shows that pretest and posttest come from homogeneous and normally distributed populations. The results of the study obtained that the improvement of students’ problem-solving abilities is in the category of low and medium N-gain.
The development of android-based physics comic on optical devices for high school students
Authors: Maghfiroh A , Kuswanto H , Susetyo B 
Published: January 2020

Abstract
This research aims to (1) produce an android-based physics comic learning media on optical devices about eye and camera (2) examine the value of feasibility of android-based physics comic learning media on optical devices about eye and camera. This research uses ADDIE model. The model consists of five steps; (1) Analysis, this stage aims to analysis the problem, (2) Design start to design product that will be developed according to the results of the needs in learning analysis, (3) Development, the process of creating and developing product according to design, (4) Implementation, the stage to use the developed product (5) Evaluation, to improve the product based on criticism and suggestions from the questionnaire responses done by respondents after using the developed product. Validity of the instrument is counted by the percentage agreement through the validation eye and camera of media expert, material expert, and questionnaire responses of respondents. The results of these research and development are (1) produce an android-based physics comic learning media on optical devices about eye and camera (2) the developed media own a high score of feasibility with a very good predicate. This shows that the developed learning media is feasible to use in learning.
Interactive conceptual instruction model assisted by PhET simulations on the improvement of physics multiple representations
Authors: Vegisari  , Wilujeng I , Hardiyanti S 
Published: January 2020

Abstract
This study aims to determine the effect of Interactive Conceptual Instruction (ICI) models aided by PhET Simulations on improving the ability of multiple representations of student’s physics. The research method used was Pre-Experimental Design with One Group Pretest-Posttest design. Fifteen multiple-choice assessment instruments in the pre-test and post-test were given to 31 students of class 10th in SMA Negeri 1 Banguntapan. The results of the analysis state that there is an influence of interactive conceptual instruction models aided by PhET Simulations on improving the ability of multiple representations of student’s physics. The improvement is shown by the Wilcoxon Sign Rank Test results. The results show that the significant value is smaller than the significant level (α), which is 0.000 <0.05. The mean value of the post-test is higher than the mean value of the pre-test shown in the descriptive analysis, and there is a shift in the range of values from 46-80 to 66-91. This research shows that interactive conceptual instruction models assisted by PhET Simulations can improve the ability of multiple representations of students physics.
The use of android-assisted comics to enhance students’ critical thinking skill
Authors: Damayanti A E , Kuswanto H 
Published: January 2020

AbstractThis study aims to determine improvements in students’ critical thinking skills through android-based physics comics. This type of research is quantitative research using a one-group pretest-posttest design with a pre-experimental approach. The research sample was determined by purposive sampling as many as 44 students. This research was conducted in two classes experiments: experiment A and experiment B. The media used is an android-based comic about impulse-momentum material. Critical thinking skills of students analyzed by the results of the pretest and posttest. The results of the two classes tested showed an increase in posttest scores. N-gain for the experiment A and the experiment B shows the increase in the value of the pretest and posttest is in the medium category. Thus it was concluded that the Android-based physics comic that was developed could improve students’ critical thinking skills.
Application of STEM learning approach through simple technology to increase data literacy
Authors: Rahmawati L. , Wilujeng I. , Satriana A. 
Published: January 2020

Abstract
This study aims to investigate the STEM approach’s effect on data literacy through simple technology on the theory of spring vibration. The research method used a quasi-experimental design with one group pretest posttest design. The study was conducted in class X MIA 2 MAN 1 Yogyakarta with 26 students. Data collection used pretest and posttest scores as measurement of data literacy. Based on data analysis results, this study obtained an enhancement in data literacy abilities. It can be seen in the N-gain test result. The results showed that 54% of students had data literacy in the high category, 42% in the medium category, and 4% in a low category. This study shows that there is an increase in student data literacy abilities after they are learning with the STEM approach through simple technology.
Development of e-handout assisted by PhET simulation with problem based learning (PBL) model about momentum conservation law and collision to train students’ conceptual understanding
Authors: Rahmawati E N , Jumadi  , Astuti D P 
Published: January 2020

Abstract
The research produce an e-handout assisted by PhET simulation with problem based learning (PBL) model about momentum conservation law and collision to train students’ conceptual understanding. The e-handout was developed which use to train the conceptual understanding of students, which was previously conducted a feasibility test on e-handouts. The research uses the ADDIE development model. The subjects of the research were students of SMA N 1 Sleman class X MIA. The instrument used in data collection in the form of validation sheets by experts, students’ questionnaire responses, and conceptual understanding test instrument. The data obtained and it analyzed quantitatively. The result showed that e-handout development was carried out in accordance with product development procedures, validation of expert show that e-handouts have very high criteria, the results of the questionnaire responses of students showed that the e-handout was appropriate to be used as a medium for learning physics with a good category, the result of understanding the concept have improved significantly. Based on the result above, the research shows that the development of e-handouts is feasible to be used as teaching material and it is known that students’ understanding of concepts in learning physics can be improved.
STEM application through simple technology to improve technology literacy
Authors: Utami V B , Wilujeng I 
Published: January 2020

Abstract
This study aims to examine the effect of applying the STEM (Science, Technology, Engineering and Mathematics) approach through simple technology on the technology literacy of students in a simple harmonic motion content. This research method is one group pretest-postest design. There are two classes involved, namely the modeling and implementation class. Both classes use the STEM approach through simple technology. The research subjects were grade X students at MAN 1 Yogyakarta. The research sample consisted of 26 students in the STEM modeling class and 24 students in the STEM implementation class, which were determined by random sampling. The research instrument used a technology literacy description test. Data were analyzed quantitatively using the SPSS 21.0 program. The analysis shows that there is an increase in the results of the pretest-posttest technology literacy ability of students in both classes. Technology literacy of students in both classes shows the same N-Gain which is 0.46 (in the moderate category). These results indicate that the STEM approach through simple technology on simple harmonic motion content can influence students’ technology literacy enhancement.