Reviewerly/exHarmony huggingface dataset:
A Classification Algorithm Based on Complex Number Feature

In this study, a classification algorithm based on complex number feature is proposed. Specifically, the SVM framework is reformulated, so each example would be classified in the unitary space. The cost function is redefined by considering the maximum margin of real and imaginary units of the complex number feature at the same time. The cost function is based on the expectation of the hinge loss, and its derivatives can be calculated in closed forms. Using a stochastic gradient descent (SGD) algorithm, this method allows for efficient implementation. For complex number feature, the example uncertainty is modeled by a sample preprocessing method based on within-class Euclidean distance Gaussian distribution sample (DGS). In addition, a complex number feature selection method based on improved hybrid discrimination analysis (HDA) is proposed by considering the correlation between real and imaginary units of complex number feature. The proposed classification algorithm is tested on synthetic data and three publicly available and popular datasets, namely, MNIST, WDBC, and Voc2012. Experimental results verify the effectiveness of the proposed method. The codes are available: <uri xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">https://github.com/luckysomebody/paper-code</uri>
The Impact of Foreign Investment on Balance of Payments Based on the Supply chain management: An Econometrics Study for the Period of 2005-2017 in Iraq

This examination explores the effect of foreign direct investment on the supply chain management and balance of payment in Iraq market. The study is conducted in Iraqi circumstances focusing on the time period of 2005-2017 by considering the supply chain management. Johansen-Juselius co integration technique has been employed to measure the association among variables of interest which is FDI, CAB and GDP. In this context of particular importance are management concepts such as supply chain and chain quality management concepts. Therefore, our aim is to analyze the influence of Foreign Direct Investment (FDI) on the Iraq business. Furthermore, VECM estimation is carried out to determine a long and short run influence of FDI on current account balance. The results revealed that foreign investment is co-integrated with balance of payment. Furthermore, a positive impact of FDI has been recorded on CAB (current account balance). The results infer export led policy can positively affects the balance of payment with the foreign inflows. Therefore, as a policy implication, FDI should be taken into account when policy makers are making policies regarding economic development.
Tripartite Cooperation in Assigning ETDs with DOIs - A Practical Experience of National Taiwan Normal University Library

National Taiwan Normal University (NTNU) Library was trying to engage two different vendors to cooperate and set up the Digital Object Identifier (DOI) to improve international visibilities of students’ ETDs. This Practical Experience aims to share a valuable lesson through tripartite cooperation, and firmly believe other institutions can benefit from our experience to save time and effort spent on the launch of such cooperation.
SETH-hardness of Coding Problems.

We show that assuming the strong exponential-time hypothesis (SETH), there are no non-trivial algorithms for the nearest codeword problem (NCP), the minimum distance problem (MDP), or the nearest codeword problem with preprocessing (NCPP) on linear codes over any finite field. More precisely, we show that there are no NCP, MDP, or NCPP algorithms running in time q^ (1-e)n for any constant e>0 for codes with q^n codewords. (In the case of NCPP, we assume non-uniform SETH.) We also show that there are no sub-exponential time algorithms for γ-approximate versions of these problems for some constant γ > 1, under different versions of the exponential-time hypothesis.
Study on the Practice of Interactive Teaching Mode in College English Teaching

Cultural exchanges between China and other countries have increased since the reform and opening up, as one of the common languages in the world, English prompts the society to put forward higher requirements for English talents.Influenced by the new curriculum reform, college English education focuses on training all-round English talents.In order to change the limitations brought by traditional teaching methods, the application of multidimensional interactive teaching mode can not only provide students with a good language environment, but also carry out practical teaching activities, and it can cultivate students' language expression ability.By analyzing the problems in college English teaching, this paper further proposes a strategy combining multidimensional interactive teaching mode with English teaching.
Analysis of Teaching Materials in Learning Evaluation for Performance Assessment Based on National Standard University

The implementation of the Indonesian National Qualification Framework (KKNI) in higher education curriculum will strengthen the accountability of the implementation of education while ensuring the quality of graduates.The quality of graduates can be seen from the results of learning outcomes that have been obtained by students.Teaching material is one of the learning tools that is influential in the process of obtaining learning outcomes so as to improve the quality of learning in higher education.The evaluation and assessment of learning outcomes course is a course taught at universitas at the bachelor degree level of the education study program.This course includes material on understanding philosophies, concepts, principles and procedures in educational assessment and evaluation.This research was conducted to analyze the existing textbooks so that they get considerations to produce textbooks that are in accordance with the university national standards.This study is also part of the study on development of multimedia based innovative performance assessment teaching materials to improve student learning outcomes of chemistry education study program in Universitas Negeri Medan.
Referenceless Full Reference Image Quality Metric Estimation For Embedded Codec

The quality scalability feature of embedded codecs allows the decoding of image of different qualities from same fully encoded embedded bitstream. In this paper, this feature is exploited to estimate the full reference image quality assessment (FR-IQA) metrics of decoded images without reference image for SPIHT coded images. Any FR-IQA metric either measures similarity or dissimilarity comparison of the distorted/decoded image with respect to the reference image. The proposed work is based on the fact that if the similarity between the reference image and a lower quality image is known, the similarity of images of quality in between can be estimated without having full embedded bitstream or reference image. The proposed method utilizes machine learning regression algorithm for training and testing purposes. The estimated FR-IQA metrics are remarkably accurate. Moreover, each of these metrics require computation of only one corresponding FR-IQA metric as a feature, therefore it is suitable to estimate the FR-IQA metrics of reconstructed images from an embedded codec at the expense of same time complexity as of FR-IQA metrics of the choice. The FR-IQA metrics are usually accurate and fast and therefore, proposed algorithm can be used in real time applications.
A Pilot Study on the Standardization of Machine Learning Dataset Construction Process

In this study, the processes required to build machine-learning dataset(ML dataset) were standardized or generalized. The target of the standardization process is to include all types of data used for machine learning, covering text, voice, images and video data. To this end, existing literature reviews and case studies on ML dataset construction have been carried out. In addition, various projects on domestic and international ML dataset construction were reviewed to derive a standardized construction process for each type of data. It also presented a summary table of the types of annotations that take up most of the time and cost in the ML dataset construction process and the cost for each task.BR Results presented in this study may be useful to assist in a more comprehensive understanding, compared to studies such as construction process studies centered on specific types of data previously performed or case studies on specific industries. In addition, the survey results comparing different types of annunciations by data type are assessed to be more likely to be used compared to previous studies. From a practical point of view, the results of this study could provide useful guidance for organizations interested in deploying ML datasets to plan and schedule at the time of their business initiatives.
A finer record of biodiversity

PaleontologyWe have pressing, human-generated reasons to explore the influence of environmental change on biodiversity. Looking into the past can not only inform our understanding of this relationship but also help us to understand current change. Paleontological records depend on fossil availability and predictive modeling, however, and thus tend to give us a picture with large temporal jumps, millions of years wide. Such a scale makes it difficult to truly understand the action of environmental forces on ecological processes. Enabled by a supercomputer, Fan et al. used machine learning to analyze a large marine Paleozoic dataset, creating a record with time intervals of only ∼26,000 years (see the Perspective by Wagner). This fine-scale resolution revealed new events and important details of previously described patterns.Science , this issue p. [272][1]; see also p. [249][2] [1]: /lookup/doi/10.1126/science.aax4953 [2]: /lookup/doi/10.1126/science.aba4348
PENINGKATAN KETERAMPILAN BERBICARA PADA MAHASISWA MELALUI PROGRAM SAMA SAVI (SATU MAHASISWA SATU VIDEO)

Student speaking skills are not all adequate and according to linguistic and non-linguistic  rules. To speak correctly, well, and beautifully, recorded and uploaded on Youtube, students experience obstacles, such as being unfamiliar, afraid, insecure, and do not know linguistic aspects and non-linguistic aspects to speak right, good, and beautiful. In linguistic aspects consist of correctness of speech, placement of pressure, tone, joint, and relevant duration, diction / choice of words and accuracy of target speech. Whereas the non-linguistic aspects consist of calm, honest, and not rigid attitudes, views directed at followers, willingness to respect the opinions of others, proper gestures and gestures, sound loudness, fluency, relevance / reasoning, and mastery of topics. One Student, One Video (SAMA SAVI) program has been proven to improve the speaking skills of students of the Islamic Education (PAI) Study Program of STAINU Temanggung. Before the action, speaking skills in the aspects of linguistic and non-linguistic aspects of students were inadequate. After the actions of cycle I and cycle II, there was a significant increase in students’ speaking skills, both from linguistic and non-linguistic aspects. In the process of implementing this program, researchers experienced seven obstacles as well as seven opportunities to improve speaking skills for students
Two-layer all-optical deep neural network with photonic integrated weighted addition

Deep neural network architectures have shown their superior performance in visual classification, audio recognition, signal recovery, astronomy information processing, etc. Their intrinsic parallel computation scheme can boost computation speed and reduce power consumption. Electronic neuromorphic computing has already been developed to reduce processor power consumption. However, the computing speed is limited by the interconnection electronic bandwidth. We propose to use photonic computation as an alternative to pushing computing speed further while exploiting brain-inspired architectures. We employ an Indium Phosphide (InP) based photonic neural network to demonstrate an all-optical two-layer feed-forward neural network. A non-linear semiconductor optical amplifier (SOA) is used to generate the optical nonlinear activation function: it is possible to change the shape of the nonlinear function by tuning the driven current and the power ratio of the CW control laser to the optical input signal. The combination of the on-chip photonic cross-connect for weighted addition implementation and the off-chip optical nonlinear function allows to process 10Gbit/s data sequences with a normalized root mean square error of 0.21 at the very final output, which is comparable to using an E/O conversion approach after each layer. This result paves the way to implement a reconfigurable all-optical deep neural network with photonic integrated circuits with co-integrated optical amplifiers.
A New Huffman Code for Accelerating GPU Decompression (preliminary version)

A Huffman code is a variable-length entropy code used in data compression. The compression operation of a Huffman code can be done very efficiently on the GPU. However, the decompression is very hard to parallelize, because the compressed data have no separator to identify each variable-length codeword. We present a Huffman Code with Gap Array (GHCA), which accelerates the GPU decompression. The experimental results using Geforce RTX2080Ti GPU shows that, the GHCA may have at most 1 . 5% size overhead, but the decompression is 1.536-4713 times faster than the previously published GPU decoding for Huffman codes.
Predicative Position for Several A-words and Adverbs

Distinctions are sometimes made, at a more detailed level, in syntax, discriminating between predicative and non-predicative positions and functions of words.The present paper attempts to analyse how some a-words and adverbs behave in predicative position, as they can assume the specified place in several instances, even though only few of them can be freely used attributively.What is especially monitored in the present paper is the behaviour exhibited by adverbs, as they are notorious for avoiding such positions.
디지털 인문학 기반의 한국어 교육과정 설계 연구―디지털 텍스트 마이닝을 중심으로

The fourth industrial revolution, centered on Big Data and artificial intelligence technology, is making a big difference in all aspects of human life including society, economy, industry, education, and medical care. However, foreign language education in universities remains mostly at traditional education levels centered on language education. In accordance with the changes of science and technology, foreign language education, which is a field of humanities, needs to realize a higher level of education beyond current education level.In this paper, we try to explore the possibility of the convergence of ‘Digital Humanities’ and Korean language education as an effective educational method for the above goals. We will consider how to integrate ‘Digital Humanities’ in traditional Korean language education centered on language education and how to design curriculum based on digital text mining through concrete examples.Korean language education, which will be improved in the future, it is aimed not only for linguistic and humanistic thinking ability for new digital generation, but also for ‘Digital Thinking’ ability which is suitable for the fourth industrial revolution.
Research Guides: Engineering 101: Handbooks & Encyclopaedias

This guide was created to assist Engineering 101 students in using the WVU Libraries resources.
Tillit i en ny e-handelskontext : Hur aspekter av informationsarkitektur påverkar användarnas tillit

This bachelor thesis aims to examine how users’ trust is affected on a single product e-commerce website. With a focus on aspects of information architecture that have been identified as critical t ...
THE EFFECT OF VISUALIZATION, AUDITORY AND KINESTHETIC (VAK) MODEL TOWARD THE STUDENTS’ ABILITY IN WRITING PROCEDURE TEXT AT GRADE IX MTsN 1 REGENCY OF INDRAGIRI HULU

Abstract :The purpose of this research were to find out is there any significant effect of Visualization, Auditory and Kinesthetic (VAK) Model toward Writing Skill of Procedure Text at Great IX Mtsn 1 Regency of Indragiri Hulu. This is an Experimental research. The research was carried out in MTsN 1 Indragiri Hulu from September 20th 2018 at grade IX MTsN 1 Regency of Indragiri Hulu. The data collection techniques in this research are observation, test, and documentation. Technique sampling in this research is simple random sample technique. The samples of this research were class IX.4 (Experimental Class) and IX.6 (Control Class) of School at MTsN 1 Regency of Indragiri Hulu. Every class consisted of 30 students. The instrument used to collect the data is test (Pretest and Post test). The data analysis in this research is used t-test. Based on the calculating of t-test that the out put independent samples Test shows Equal Variances Assumed which can be seen from the number of the t test result of 20,754 with df = 59, the mean difference = 0.000 is the difference of Standard Error =1,94819. The difference in the use of Visualization, Auditory and Kinesthetic (VAK) Model is lowest = 44,33306 and the highest is 36,52036. If tobservation (t observation) = 20,754 compared to ttable is obtained the price of criticism t at a significant level of 5% = 2.04. It can be seen the price of tobservation> ttable which means. Ha is accepted and Ho is rejected. It means that there is a significant effect ont the students’ writing skill procedure text at grade IX MTsN 1 Regency of Indragiri Hulu was succesfull. Key words: Writing skill, Procedure text, VAK
A Performance-Aware Selection Strategy for Cloud-based Video Services with Micro-Service Architecture

The cloud micro-service architecture provides loosely coupling services and efficient virtual resources, which becomes a promising solution for large-scale video services. It is difficult to efficiently select the optimal services under micro-service architecture, because the large number of micro-services leads to an exponential increase in the number of service selection candidate solutions. In addition, the time sensitivity of video services increases the complexity of service selection, and the video data can affects the service selection results. However, the current video service selection strategies are insufficient under micro-service architecture, because they do not take into account the resource fluctuation of the service instances and the features of the video service comprehensively. In this paper, we focus on the video service selection strategy under micro-service architecture. Firstly, we propose a QoS Prediction (QP) method using explicit factor analysis and linear regression. The QP can accurately predict the QoS values based on the features of video data and service instances. Secondly, we propose a Performance-Aware Video Service Selection (PVSS) method. We prune the candidate services to reduce computational complexity and then efficiently select the optimal solution based on Fruit Fly Optimization (FFO) algorithm. Finally, we conduct extensive experiments to evaluate our strategy, and the results demonstrate the effectiveness of our strategy.
Error analysis of a 3-Layer SOA-based photonic deep neural network for image classification

We demonstrate Iris flower classification with a trained 3-layer photonic deep neural network, which is implemented by a monolithically integrated SOA-based InP cross-connect chip, achieving a final accuracy of 85.8%. An in-depth analysis of the error evolution in the system suggests that the E/O conversions from layer to layer contribute to the majority of the error.
COMMUNICATIVE COMPETENCE AS A CONDITION AND CONSEQUENCE OF SPIRITUAL-CREATIVE DEVELOPMENT OF FUTURE EDUCATORS

A subject-matter of the study is the communicative competence of future teachers in its close relationship with the spiritualcreative development of the personality of a student specializing in preschool education.Theoretical analysis of the philosophical and psychological-pedagogical literature was carried out, the curricula of students of qualification "Preschool education" were analyzed, systematic observation of the communicative competence of students during the training sessions and creative competitions, cultural and educational events was accomplished.The purpose of the study is to substantiate theoretically a phenomenon of communicative competence as a structural element of professional culture of a future teacher and to uncover the relationship of communicative competence with the spiritual-creative development of future preschool educators.It is proved that professional culture of a future teacher consists of spiritual wealth (high moral values), a distinct creative personality, ready and able to innovations and transformations; special personal qualities (humanism, unconditional love for children, themselves and other people, pedagogical optimism, tolerance, tact, etc.); knowledge, skills and pedagogical practices in the field of preschool education; external aesthetic appeal.The components of professional culture of future preschool educators are identified, the communicative competence being one of them.We have come up with
PROBLEMS OF FORMATION AND DIAGNOSTICS SCIENTIFIC WORLDWIDE OF FUTURE PHYSICS TEACHERS

The article is devoted to the theoretical and methodological aspects of solving the actual, complex and multifaceted problem of the creating of the scientific world view of pre service teachers of physics as a leading quality of personality, the basis of their professional competence. The author analyses the degree of the development of the problem of research in the philosophical, psychological and pedagogical literature, theory and practice of teaching physics; clarifies the essence and basic characteristics of the basic concepts: "worldview", "scientific worldview" of the individual. It is established that the core of the scientific worldview is the scientific picture of the world, which is the result of the integration of generalized images of the surrounding world of the individual sciences and forms the basis of thinking, conscious behaviour and human activity. In this context, the creating of ideological beliefs and beliefs does not automatically occur with the assimilation of subject knowledge within a certain discipline, but requires a separate purposeful and systematic approach of the whole pedagogical staff of the educational institution. The author defines the basic components, didactic conditions, criteria and indicators of the levels of creating of the natural-scientific world view of pre-service teachers of physics, as well as forms and means of diagnostics, which are based primarily on students’ study of general and theoretical physics. Educational and methodological complex, which includes a modular program of generalization of students' knowledge in the course of theoretical physics; a textbook for the study of theoretical material, problem solving, a collection of tests (which contain, among others, the issues of methodological and ideological nature) on the example of the course of "Thermodynamics and statistical physics" were developed and implemented in the educational process. The study of general and theoretical physics by pre-service teachers should take into account the principle of continuity on the basis of the creation of the most complete and holistic ideas about the modern world picture and its evolution; awareness of the content and structure of fundamental physical theories, their unity, multifunctionality and hierarchy according to certain spatial intervals and interactions. Key words: personality worldview, scientific worldview, professional competence of physics teacher, physical picture of the world.