Reviewerly/exHarmony huggingface dataset:
Scaling the Smileys: A Multicountry Investigation

Asking and answering questions are the core elements of survey research.Nevertheless, the field has long been characterized by a science of sampling on the one hand and an "art of asking questions" on the other hand.Aiming to turn that art into a science, psychologists and survey methodologists brought theories of language comprehension, communication, memory, and judgment to bear on the survey response process, resulting in an interdisciplinary research area that became known as CASM-cognitive aspects of survey measurement.This work illuminated the interplay between semantic and pragmatic aspects of asking and answering questions and showed that even apparently "clear" and "simple" questions can dramatically change in meaning depending on who asks whom and in which context.These complexities at the interface of semantics, pragmatics, and social context are compounded when researchers and respondents do not share the same cultural background, use different languages, or both.If the researcher is lucky, pretest respondents will complain about "bad" questions or provide answers that are sufficiently odd to indicate a problem.But such lucky discoveries of complications related to culture and language are not necessarily the norm.More likely, participants will construe a meaning that is subjectively plausible in their own cultural and language context and provide answers that do not raise any flags.Unfortunately, those answers may be answers to questions that the researchers did not intend to ask or did not intend to ask in that form.Failing to notice this, researchers are likely to interpret all answers as responses to the same substantive question and may interpret differences between groups as differences in opinion and behavior rather than differences in question interpretation.As cognitive research showed, all of these problems can arise in surveys within a single country, conducted in the same language.However, they are compounded in cross-national and cross-cultural research, where researchers may translate questions from another culture without full awareness of culture-specific connotations and differences in pragmatic meaning or complications arising Language Influences on SurveyResponses and Data Quality
Microwave absorbent properties of Fe<sub>3</sub>O<sub>4</sub> nanoparticle from iron sand prepared by high energy milling ellips-3 dimension

Abstract The development of nanoparticles magnetite in the world of research is now very rapid, The purpose of this research was to made Fe 3 O 4 nanoparticles as microwave absorbent material. The Fe 3 O 4 used in this study is magnetic oxide derived from nature in the form of iron sand. Tiram Beach one of the beaches in West Sumatera that contains iron sand exactly at Padang Pariaman District, Sumatera Barat. Nanoparticles Fe 3 O 4 were made using the Higt Energy Milling Ellips-3 Dimenssion (HEM-E3D) method, with variations in milling time for 5, 15, 20, 25 and 30 hours. Fe 3 O 4 nanoparticles are characterized using Vector Network Analyzer (VNA) to see the absorption properties of the microwaves. Analysis VNA result showed that the maximum value of reflection loss obtained in the samples milling 15 hours of -14.775 dB at a frequency of 11.700 GHz.
Improvement of Lightweight Integrity Verification Algorithm Using TDHA

Data integrity is the assurance that the data sent will remain unaltered when it reaches the receiver. It aims to prevent unintentional and unauthorized changes to sensitive and confidential data. In this paper, we present a research on the various lightweight data integrity algorithms such as lightweight integrity verification (LIVE), the Secure Hash Algorithms (SHA1, SHA2, SHA3), lightweight one-way cryptographic hash algorithm (LOCHA), timestamp defined hash algorithm (TDHA), the one-time signature algorithm and the leapfrog technique. The motive behind this research is, first, to provide an overview of these algorithms and second, to suggest changes that will further improve the performance of one of these lightweight algorithms, namely LIVE. We suggest an improvement to traditional token generation in LIVE using TDHA instead of SHA-1. A refinement of content signing and verification using the leapfrog technique is also proposed.
The Possibility Of Uniform Pseudo-Random Number Generation By A Group Of Humans

The ability of humans to generate numbers that are really random has always been a subject of debate. This paper investigated the possibility for a group of humans to serve as random number generators. A total of 2344 students, who were not pre-informed to avoid bias, from different faculties within the Federal University of Technology Akure were asked to choose a random number between 1 and 10. Using various statistical tests, we sought answers to the possibility of predictors like participant's test score, gender, age and school influencing their choice of random numbers. We discovered that the numbers generated are highly random and chaotic despite number 1 being the most selected number across all predictors that was considered. Our study found that gender, test score, age did not significantly influence the choice of number while faculty showed a significant relation.
Representation of Moral Values in The Reading Materials in Indonesian Contextual English textbooks for Senior High School

This research is aimed as describing: (1) moral values represented in words in the reading materials within the Contextual Englishtextbooks for Indonesian senior high school students; and (2) the students’ response of moral values in the reading materials in the ELT textbooks adequate to develop students’ critical thinking so that they can perceive of moral issues from their life situation, and then reflect and act on them.The type of this research is descriptive qualitative research which used purposive sampling technique. The source of data isa series of EFL textbooks entitled Contextual English for Senior High Schools X, XI, and XII published by PT. Tiga Serangkai Pustaka Mandiri while the data are text in the reading materials in those textbooks. The data were collected through in-depth interviewing and document review. The model being used to analyzed data is a flow model analysis through the components of data reduction, data presentation, and conclusion.The result of the analyzed data shows that there are 14 moral values in the words represented in the reading materials in the textual English textbook for grades X, XI, and XII. The fourteen words are religiosity, honesty, tolerance, discipline, hardworking, democratic, motivation to learn and love to read, patriotism, nationalism, friendliness and communicativeness, environmental awareness, social awareness, and responsibility. From these data there are several texts that contain not only one moral values word, but even two, three and even more. The author is quite successful in infusing moral values into reading materials. Meanwhile, The series of Contextual English grade X, XI, and XII textbooks are quite capable of making students have a positive response and want to do and practice the values contained in these moral values.This can be seen from the teachers’ perspectives, they teach them daily, through activities in class and outside the classroom under the guidance of these teachers.Keywords: moral values; students’ response of moral values; ideational meaning
Elastic SDAE: An Adaptive Noise Selection for Stacked Denoising Auto encoder

This paper proposes an Elastic Stacked Denoising Autoencoder model, an upgraded model of a stacked autoencoder algorithm. It works on the basis of reconstruction through learning from the input towards generating the same as the output. But, the selection of noise levels in the autoencoder is determined as fixed-parameter throughout the learning. The proposed model addresses this limitation based on the principle of annealing (ElasticSDAE), a novel method of adaptively obtaining the noise level. This is achieved by first computing the average noise level for each epoch using a linear average noise level function based on the principle of annealing; and second calculating the noise level for each input neuron based on the average noise level, and the contribution of the input neuron to the activation of hidden neurons (which depend on the input neuron's value and the weights). Thus, the network includes a combination of features at multiple scales. The experimental results show that our proposed ElasticSDAE performed better than SDAE and other unsupervised feature learning methods.
A Prototype System of Search: Finding Short Material for Science Education in Long and High-Definition Documentary Videos

High-definition (HD) video material for science education is always welcomed in elementary or secondary schools. It not only helps teachers to convey concepts but also impresses pupils. However, it is difficult for teachers to find customized HD video material besides the unified compact disks companied with teaching reference books. The teacher-customized HD video material has two requirements: (1) short (less than 3–5 min) and (2) fit to the current knowledge map. One potential pool of HD video material is HD documentaries. Nevertheless, a HD documentary is usually very long (around 45–90 min) and has its own agenda. In this chapter, a prototype system named SEARCH (Seeking Excerpted educAtional Resource in Collections of High-definition documentaries) was proposed to help teachers find short material for science education in long and high-definition documentary videos. SEARCH consists of three vital components: knowledge map extraction, documentary subtitle tagging, and hit re-ranking. The knowledge map extraction component is to extract knowledge map from teaching reference books, assigning different weights to concepts in different positions in a knowledge map. The documentary subtitle tagging component is to tag subtitles with concepts extracted in the former component, using a deep learning technique: long short-term memory. The hit re-ranking component is to re-rank multiple hits returned by scanning tags, according to different demands, such as relevance first or most viewed first. Preliminary results indicate that it can facilitate teachers to prepare their courses.
Colorizing Gray Level Images by using Wavelet Filters

This paper discusses a new algorithm to produce colored version of gray scale natural still images. This algorithm employs artificial neural network (ANN) to predict RGB channels using the Discrete Wavelet Transform (DWT). A group of natural color images are used to train three ANNs. The trained networks estimate low resolution RGB layers of the gray scale image which are the best match to the trained images. The colored version of the image is produced form the predicted RGB layers and information form grayscale image. The performances of the new algorithm are analyzed subjectively and objectively using the peak signal to noise and Structural Similarity, as well as it is compared to similar algorithm based on discrete cosine transform. Acceptable colorized images were obtained from different still images.
Digitizing the Intangible

Modelling and digitizing performing arts through motion capturing interfaces is an important aspect for the analysis, processing, and documentation of intangible cultural heritage assets. This chapter provides a holistic description regarding the dance preservation topic by describing the capture approaches, efficient preprocessing techniques, and specific approaches for knowledge generation. Presented methodologies take under consideration the existing modelling and interpretation approaches, which may involve huge amounts of information, making them difficult to process, store, and analyze.
CupNet – Pruning a Network for Geometric Data

Using data from a simulated cup drawing process, we demonstrate how the inherent geometrical structure of cup meshes can be used to effectively prune an artificial neural network in a straightforward way.
Tempo variance and micro-timig pattern on the beat level in the performance of banyeop ‘Nam ha yeo(남하여)’

반엽은 가곡 중 한 곡 내에서 한배와 선법이 다른 두 부분으로 구성된 악곡이다. 그래서 이 악곡은 한배의 변화에 따라 박의 미시적 타이밍이 어떤 양상으로 달라지는지를 관찰할 수 있는 곡이다. 본 연구에서는 반엽 중 여창이 부르는 ‘남하여’ 의 연주(창과 대금, 거문고, 장구반주)에서 이 과정을 관찰하고자 하였다. 박의 미시적 타이밍은 장구의 타점들 간의 간격(IOI)으로 측정하였으며 같은 연주자의 3번의 연주를 비교하여 시간적 강세의 위치가 어떻게 나타나는지를 관찰하였다. 연구의 결과, 첫째, 한배가 빠른 부분에서는 박이 비교적 균등하게 연주되고 느린 부분에서는 박 간 간격이 훨씬 유동적으로 연주되고 있음이 나타났다. 둘째, 3회의 연주 모두에서 IOI 값이 우위를 보이는 박들을 조사해보니 시간적 흐름 속에서 틀을 형성하고 있는 주요 박들이 박자 구조, 선율묶음의 구조(그루핑 구조), 사설의 음보 단위와 관계하여 나타나는 것을 발견할 수 있었는데, 한배의 변화는 이 차이에 큰 영향을 미치지 않았고, 기악연주 부분과 창이 포함된 부분 간의 차이가 발견되었다. 기악연주 부분에서는 1박과 12박을 중심으로 한 박자 구조가 연주의 시간적 흐름에서 중요한 기둥으로 나타났으나 가창이 포함된 부분에서는 선율묶음의 구조가 박자 구조보다 박의 타이밍 변화에 더 큰 영향을 미치고 있음이 발견되었다. 그로 인해 12박의 1박에 대한 우위성은 더 강조되었으며 3박이나 4박이 중요한 박으로 부각되었다. 결론에서 이 결과의 음악이론적 의미를 논의하였고 해외에서 수행된 다른 연구결과와의 비교를 덧붙였다.Banyeop ‘Nam ha yeo’ for female singer (accompanied by daegeum, geomungo, and janggu)is a piece composed of two parts, one of which is different from the other in terms of tempo and mode. Thus, It can be observed what different micro-timing pattern on the beat-level reveals in the temporal fluidity of the 16-beat jangdan according to the change of tempo. The micro-timing on the beat-level is measured by the interval of inter-onsets(IOI) of janggu, and the location of the temporal stresses is observed by comparing IOI values of three performances by the same player. In the high tempo section, the beat tends to be played relatively evenly, but in the slow section, the intervals between beats are much more fluid. Investigating the beats showing the higher IOI-value in all three performances, no change on the micro-timing pattern was found with the change of tempo, and a difference was found between the part of the instrumental music (prelude) and the part including the vocals. In the instrumental part, the metrical structure centered on the 1st beat and 12th beat appears, while grouping structure has a greater influence on shaping time of the performance than metrical structure in the vocal-including part. As a result, the advantage of 12th beat is emphasized, and 3rd or 4th beat became more important than 1st since vocals comes in. In conclusion, we discuss music-theoretical significance of this result, comparing with the results of other studies conducted abroad.
Design of Security Management and Control Platform for Business System

This paper designs a security management and control platform for business system, including unified account, unified audit, unified authorization, unified deployment, single sign on and unified monitoring. The platform aims at security management and control of business system, by taking comprehensive measures to control the running of business system to improve and optimize business system and provide foundations for centralized management and security management of business system.
Spectral Expansion Method for Cloud Reliability Analysis

Cloud Computing is a computing hypothesis, where a huge group of systems linked together in private, public or hybrid network, to offer dynamically amendable infrastructure for data storage, file storage and application. With this emerging technology, application hosting, delivery, content storage, and reduced computation cost, and it acts as an essential module for backbone of the Internet of Things (IOT). The efficiency of cloud Service providers (CSP) could be improved by considering significant factors such as availability, reliability, usability, security, responsiveness, and elasticity. Assessment of these factors leads to efficiency in designing scheduler for CSP. This metrics also improved the Quality of Service (QoS) in cloud. Many existing model and approaches evaluate this metrics. But these existing approaches doesn't offer efficient outcome. In this paper, a prominent performance model named as Spectral Expansion Method (SPM) evaluates cloud reliability. Spectral expansion Method (SPM) is a huge technique useful in reliability and performance modelling of computing system. This approach solves the Markov model of Cloud service Provider (CSP) to predict the reliability. The SPM is better compared to matrix geometric methods.
Analyzing Bilingual and "Taglish" Texts in E-barangay Mobile Application System

In this paper, the texts sent by bilingual users (i.e., Filipino and English languages) using the e-barangay mobile application system were analyzed. E-barangay is an e-government mobile-based system that empowers local community dwellers to send their complaints and suggestions (i.e., the texts) to the local government authorities. It is found that there were more complaint texts than suggestion texts. It is also revealed that the system is capable of analyzing the texts accurately but improvements in the system are still desirable. Future studies are also presented.
Comparison of Various Tracking Modes on Improvement of PV Power Generation System

This study mainly elaborates on six installation modes for PV power generation systems, namely, traditional fixed type, vertical single-axis tracking, north-south single-axis tracking, east-west single-axis tracking, dual-axis tracking, and fixed mode on the horizontal plane. Based on the above installation modes, a mathematical model is established for power generation of and solar radiation received by solar cell modules under the temperature of modules and attenuation of power generation. Furthermore, the ratio of energy output under different installation modes to energy output under horizontal installation is calculated by MATLAB. This paper concludes with the comparison of power generation capacity of six devices in Chenggong District of Kunming. It is showed that the utilization rate under dual-axis tracking is the highest and that under horizontal installation is the lowest. The study results can serve as a reference basis for the design of PV projects in low-latitude Class II Region of China (moderately abundant in solar energy resources), and provide data support for the implementation of different tracking modes.
Computer Forensic Methodology and Tools

The Computer Forensic has long played a vital role across the domains - Cyber Crimes Investigations, Incident Response, Cyber Threat Intelligence and Corporate Cybersecurity. In the past Digital Evidence lost their validity in the Courtrooms. Prior, similar to some other Physical Evidence, courts used to consider evidence procured from computer systems as genuine. In any case, as time passed, we figured out the fact that it is so natural to corrupt, destroy, or alter computer data, all three stages - storage, network and computation. In the least complex model, if an individual basically opens a computer file, it's absolutely impossible to demonstrate the last date that the document was refreshed aka updated. Computers are intended to record the time and date of an accessed file on its own by default features of an operating system. Examiners later understood that they have to build up the essential devices and procedures to separate the necessary data from computers without influencing the data all the while. With time, specialists concocted systems to securely recover data, preserve and analyze to derive the insights useful in Computer related Crimes. This part of forensic science is currently well known as Computer Forensics.
QCKer

The paper presents the implementation of the q-gram counting filter using x86-AVX/AVX2 SIMD instructions. There are three novel findings during the course of the research work. First, to eliminate inconsistency between the theoretical and experimental result, synthetic reads are generated using DNA character "T" only since generated synthetic reads create a random condition in which the number of seed instances is variable, and thus cannot be predicted. Second, the presence and absence of various SIMD parameters namely, prefetch, multithreading and AVX instruction sets are introduced to determine the speed factor. Result shows that there is a 2% speedup with the presence of prefetching, a 2.7% speedup with the presence of AVX instruction sets, a 100.41% speedup with the presence of multithreading, and a 112.25%) speedup if all parameters are used. This shows that multithreading has the biggest effect among the said parameters. Third, the x86-AVX is compared with Razers3, an existing read mapper using q-gram counting filter. In terms of filter only, the x86-AVX is 12x faster than the Razers3 for small seed size of 4. Though, Razers3 outperforms the x86-AVX implementation for longer seed (i.e., seed size of 12). This is attributed to Razers3 being optimized for q-gram of 12 or higher. From these findings, it is recommended that using real datasets is preferred over synthetic datasets. Also, implementation using multithreading approach is recommended. Though future work can be done to compare multithread with FPGA implementation.
Text-Independent Speaker Verification Based on Triplet Loss

An improved end-to-end text-independent speaker verification model is proposed in this paper. LSTM networks are employed to extract the speaker model embedding, and the triplet loss is used to optimize the training of the network which make the training of the speaker verification model more efficient while keep the computation complexity relatively low. With the triplet loss, the proposed model can achieve better EER performance.
Stock Price Prediction Using Grammatical Evolution

Grammatical evolution is an evolutionary method that is used for the automated generation of programs. Over the years, different studies have proven the relevance and efficiency of this method in a wide array of fields. This method can substitute various other machine learning algorithms and older architectures to provide good efficiency and performance for optimization of algorithms. The paper aims to apply GE to predict the price of various stock market indices. An open source implementation PonyGE2 that was developed by the Natural Computing and Applications group at UCD has been employed in this paper. With the help of an objective function and a search space defined by the grammar, the evolutionary computation of the optimum solution is achieved. The effect of tweaking the grammar rules to provide different production options helped visualize the difference in the fitness of the functions generated and the consequential effect on the output produced.
Research on Online Software Management System of Intelligent Substation Based on Two-layer Architecture of Regional Station Domain

For the problem that the secondary equipment configuration of intelligent substation has a large workload and the software version used does not have full process management, an online software management system is proposed. Firstly, the substation software management and control architecture of the two-layer architecture of the regional station domain is proposed. Then, the system functions, software management processes and application scenarios are elaborated and analyzed. This system can manage the life cycle of the software of the secondary equipment of the intelligent substation, ensure the accuracy of the whole process of the intelligent substation equipment software version, improve operation and maintenance efficiency, and realize the stable and reliable operation of the intelligent substation.