Reviewerly/exHarmony huggingface dataset:
Online Block Layer Decomposition schemes for training Deep Neural Networks

Deep Feedforward Neural Networks' (DFNNs) weights estimation relies on the solution of a very large nonconvex optimization problem that may have many local (no global) minimizers, saddle points and large plateaus. Furthermore, the time needed to find good solutions to the training problem heavily depends on both the number of samples and the number of weights (variables). In this work, we show how Block Coordinate Descent (BCD) methods can be applied to improve the performance of state-of-the-art algorithms by avoiding bad stationary points and flat regions. We first describe a batch BCD method able to effectively tackle difficulties due to the network's depth; then we further extend the algorithm proposing an online BCD scheme able to scale with respect to both the number of variables and the number of samples. We perform extensive numerical results on standard datasets using different deep networks, and we showed how the application of (online) BCD methods to the training phase of DFNNs permits to outperform standard batch/online algorithms leading to an improvement on both the training phase and the generalization performance of the networks.
THE USE OF TRUE AND FALSE ESSAY GAMES TO ENHANCE STUDENTS’ WRITING ACHIEVEMENT AND CLASSROOM INTERACTION

This study was aimed at investigating the students’ writing performance and classroom interaction through the use of true and false essay game strategy. This study was collaborative action research consisted of two cycles. The steps were planning, action, observation, and reflection. This research involved the 19 students of class 11th grade students of SMKN 3 Pujut. The data were qualitative in nature and supported by those of quantitative. The data were obtained from the observation sheet, questionnaire, and writing test. Meanwhile, the quantitative data were obtained by conducting writing post-test at the end of the actions. The research finding showed that use “True and False Essay Games” was proved to be significant to improve the students’ writing skills and classroom interaction. The strategy of True and False Essay Games makes an enthusiasm, empowering and challenging series of activities that vary the classroom interaction and activities during the teaching-learning process. Moreover, this strategy helped the students to build a positive relationship among them. Quantitatively, the mean of the students‟ writing scores in the pre-test is 50. Meanwhile, the students’ score of the post-test was 55. The improvement was 5 in the first cycle. In cycle 2, the students’ score of the post-test was 80.32. In the presentations between cycle 1 and cycle 2 was 30.4 It can be concluded that the True and False Essay Games was able to enhance students’ writing skill and classroom interaction viewed from organization, content, grammar, vocabulary, and mechanics.
LibGuides: Computer Studies: Websites

This guide is devoted to helping students and faculty find the best computer studies resources using Coulter Library's research tools and librarian selected websites. Please use the tabs at the top of the page for more information.
Security mechanism building for big data based on Trusted Computing

Abstract In view of the security risks faced by large data in the process of collection, storage, transmission and use, the security threats faced by large data in these processes are analyzed. The characteristics of trusted computing and its advantages in information security protection are analyzed. On this basis, a secure storage, transmission and authentication mechanism of large data based on trusted computing is proposed to achieve active network defense and ensure that large data can be controlled, trusted and manageable in the process of storage, transmission and authentication.
Enhancing Dark Images Captured On Camera

Abstract In recent years, dark image enhancement technology has emerged as a popular subject of research, and has played an important role in security monitoring, traffic management, military reconnaissance, and film production. To solve the problems posed by images captured in poor lighting such that the target is not visible or is difficult to read, we propose a method to process such images to identify the targets in them. An algorithm is developed that uses the dynamic threshold method to determine the white reference point in the image as well as the brightest ten percent of pixels according to size. It then adjusts the white point and balances the area to obtain the final result. Using this, the gamma transform is used to adjust the brightness of the image. The results of experiments show that the proposed method can enhance image brightness without loss of color in the image to preserve its naturalness and improve object recognition in natural scenes.
L’inquietante primum italiano del macrotoponimo America

The macrotoponym ‘America’ is found in the very first European copies of a codex containing the Esposizione del Pater noster by Antonio De Ferrariis Galateo (1448-1517), a foremost figure among sixteenth-century humanists. The Esposizione is written in a Southern version of the vernacular. Behind an apparently religious title, the Esposizione presents a compelling depiction the crisis afflicting Naples under the Aragon rule, as well as those of early sixteenth-century Italy.
THE EFFECTIVENESS OF USING PREVIEW, QUESTION, READ, REFLECT, RECITE AND REVIEW (PQ4R) TOWARD STUDENTS’ CRITICAL THINKING ABILITY ON READING COMPREHENSION

This research was aimed at knowing the effectiveness of using Preview, Question, Read, Reflect, Recite and Review or PQ4R toward Students’ Critical Thinking Ability on Reading Comprehension at Second Grade Students at SMAN 1 Batulayar in Academic Year 2017/2018. This research was an experimental research and the design was quasi-experimental nonequivalent design pre-test post-test design. The sample all of students at Second Grade and the total number was 24 students in which consisted of two classes. Where II-A consisted of 12 students and II-B consisted of 12 students. The class divided into two groups, namely experimental group and Control group. The data was collected by using pre-test and pos-test. The instrument of this research used was reading test inform of multiple choice test. The technique that used to analysis the data was t-test formula. From the data analysis, it found that the result of t-test (1.41) was lower than t-table (1.714). The mean score of experimental group in post-test was (19.16) and the mean score of pre-test was (7.08). Based on the result of the research, it can be concluded that the used of PQ4R has not effective toward Students’ Critical Thinking Ability on Reading Comprehension at Second Grade Students of SMAN 1 Batu Layar in Academic Year 2018/2019.
Security Through Stochasticity - Toward Adversarial Defense using Energy-based Models

Author(s): Mitchell, Jonathan Craig | Advisor(s): Zhu, Song-Chun | Abstract: This paper serves as an investigation in the use of energy-based models for adversarial defense via purification and training. Convergent and non-convergent energy-based models are tasked to remove white-box adversarial signals embedded into images from the CIFAR-10 dataset so that they may be classified correctly. This work presents an analysis behind the stochastic behavior of MCMC sampling for adversarial noise reduction in meta-stable energy basins and the benefits and challenges associated with different regimes of energy-based learning for this task.
PEMBELAJARAN MENULIS TEKS NEGOSIASI DENGAN MENGGUNAKAN METODE THINK PAIR SHARE DI KELAS X

This research is backed by the curiosity of researchers about the influence of the TPS learning method in the text of negotiation in class X. The focus of this research is finding out if there are differences in the learning outcomes of text. Negotiations before and after treatment. This research aims to determine the influence of use of TPS methods against negotiating text skills using experimental methods. Based on the results of the research in class X before using the TPS method The value of students has an average is 54 whereas after using the method has an average of 67 which means posttest is better than pretest. Learning to write negotiation text using the TPS method runs effectively as evidenced by the increase between the value before and after the application of the method. Wilxocon test Results sig value 0,000 < 0.05. Then there is a noticeable difference in the negotiation text seen from the pretests and posttest data. Thus, the TPS method is effective if used in learning to write negotiation text.
Fusion Analysis of Modern Music and Classical Opera Considering Fourier Algorithm Analysis

Art forms such as literature, music and fine arts are expressions of film and television works. The expression of music in film and television works is highly unique, which often combines vision and imagery. In the late 20th century, the forms of music were diversified, when modern music and classical opera began to be used in film and television works. This paper focuses on the film "Phantom of the Opera". Based on the Fourier algorithm, its modern music elements and classical opera elements are thoroughly analyzed. These elements are what make films so powerful and visually striking.
Health Care Protection and Empowerment of Internet of Things (IoT) through Big Data

Large organizations that deal with massive BigData has become a challenging task to process with advanced technologies. Many IoT industries manifest the interrelationship among large organizations mostly with healthcare sectors which advances in the well-being of trendy society based systems, functions, and modern manufacturing tendencies. IoT placed its importance in remote medical organizations scrutinizing format that generates unceasing data on the web information regarding the physiological situations of a patient. This paper uses are fined collective network model to drop protection risks and examine how phenomenal wearable gadgets are prodigious in science and intelligent technology. Insurance policies from various IoT and eHealth regulations discover the perspectives of economics and society needs regarding endless prosperity and yields expected out come in research step in Big Data concerning physical disorders and threats which are more beneficial in healthcare contexts. This research paper provides a system to maintain enormous data in unfolding data preparation, evaluation, and security using Big  Data in IoT, and also interpret design applications of Healthcare IoT. This directed to the smart healthcare realm and locates the result of data fusion in the framework of IoT networks and communication units, resides in edge tools, and cloud platforms. The comprehensive work and acknowledging the time of society healthcare utility services by improving the maintenance of the IoT technologies in Healthcare. Keywords: Internet of Things (IoT), BigData, eHealth, Cloud Computing, Technology, network model
STAGES IN EDITING OF EKA SABARAâ€™S DAENG NACHODA MANUSCRIPT

Documentation of important historical figures and events in manuscript for publication involves editing, both for the content and language. This article reports a study of editing of Eka Sabaraâ€™s manuscript of Daeng Nachoda, an important figure in the founding and development of the Buginese-Makassar moslem community in Loloan, Jembrana Regency, Bali, Indonesia. Following Blanchard and Rootâ€™s (1997) points on editing written text, this study aims at analyzing the manuscriptâ€™s editing process. The problems are: the characteristics of the manuscripts and necessary editing stages for its preparation for publication. Adopting a qualitative descriptive research design, the study focuses on the content analysis of the manuscript. The result of the study shows that the manuscript shows two major characteristics: information and language structure. The study also shows that the manuscript editing processes includes addition, reduction and re-arrangement of information and structure. This study contributes to more insights of pre-printing manuscript processing.
Geology and Geochemistry of Schlieren cum Nebulites from Bauchi, Northeastern Nigeria

Bauchi is part of sheet 149NE which falls within the Northern Basement Complex of Nigeria. In this study, the area was mapped on a scale of 1:25,000. Samples were collected at the flanks of the outcrops, railway cuts, road cuts as well as blasting sites within the area. At each sampling point, two or more samples were collected based on morphological variations. The first and second order morphological classifications of migmatites as being metatexite or diatexite; banded orthogneiss, stromatic, schlieren or nebulite were used as the guiding principle. This technique was repeated for the rest of the sampling points in the area covering about fifteen (15) different locations. A total of 10 representative samples were studied geochemically. Together with the field relationship and morphological features, it was observed that the area has five (5) different lithologic units as metasediment (quartzite), melanocratic diatexite (schlieren), nebulites (Bauchite, quartz-diorite and granulitic granite) in a sequence of prograde metamorphism. The SiO2 content for the samples is between 64.2 and 77.8 wt %. Save for CaO, K2O and Sr, all the major oxides and minor elements show negative correlation with the silica. Zr and Hf show no clear correlation with the SiO2. Negative Nb, Ta, Ce and Y anomalies are characteristics of volcanic and plutonic rocks formed above subduction zones. It further signifies the contribution of mantle materials to the melt. All the samples are ferroan, which probably reflects derivation from reduced basaltic rock either by fractional crystallization or partial melting; and peraluminous which implies high development of K-Feldspar that is necessary for the formation of the nebulites. The rise in alumina and a corresponding decline in silica indicate fractionation which is yet against normal granitization process (magmatism).
Research on Image Segmentation Algorithm Based on Information Theory

Abstract With the development of science and technology, the requirements of images processing have been greatly improved. When processing complicated images, segmentation can be firstly applied, which makes the characteristics of the image more distinct, and divides the image into multiple regions with homogeneous properties for subsequent processing. And the image segmentation algorithm based on information theory is one significant technology, which can identify, compress, and encode images, with relatively high accuracy. This paper introduces the principles of information theory and image segmentation, and research on image segmentation algorithm based on information theory, hoping to promote the better development of image processing.
Enseñar a pensar: estrategias en el aula

Developing thinking skills requires a thorough look at class processes, which continue to marginalize the progress of this cognitive process.The objective of this work was to systematize some theoretical considerations about the development of thinking skills. A literature review of several theoretical references was carried out. Different updated conceptions about the factors that intervene inthe development of cognitive abilities are offered. It is concluded that the development of thinking skills must be present in all institutions of higher education. Continuous improvement in university processes is an imperative for the new university anda permanent goal to achieve excellence in higher education.
Correlation among QoE/QoS and Network Degradations for Automatic Performance Recovery in a Wide Area Network Test Bed

We report an experimental investigation carried out in a wide area network test bed about the correlation among Quality of Experience and Quality of Services indicators and some network parameters. The correlation has been analyzed by means of simple learning algorithms and the results have allowed us to design some impairment maps that have been used to manage network reconfigurations.
THE EFFECTIVENESS OF APPLYING ESA METHOD TOWARDS STUDENTS’ ENGLISH VOCABULARY MASTERY

Inspired by difficulties of grade 8 students of SMPN 4 Praya, Central Lombok in increasing their vocabulary mastery, the current study applied ESA (Engage Study Active) method to overcome the situation. The fundamental contribution of vocabulary in learning a foreign language encouraged the researcher to find a way to improve students’ vocabulary mastery. In an attempt to find the solution, the study was designed as a quasi-experimental study at SMPN (public junior high school) 4 Praya. To conduct the study, the researcher had conducted a preliminary study to collect information from the class to identify problems occurred in the school during vocabulary learning. By applying mixed method, this study was aimed to find the effectiveness of ESA method using the quantitative method and to see the improvement on the students’ mastery qualitatively by conducting classroom observation to see the quality of interaction in the class using English as the target language. Throughout the study, quantitative data showed increase in students’ vocabulary mastery after being treated using ESA method, in which the mean score of the pre-test of 53 increased in the post-test of 75. The result was found using descriptive statistic analysis towards students’ pretest and posttest results. Qualitatively, the observers’ notes also indicated increase in terms of students’ vocabulary mastery by viewing students’ engagements during classroom interactions. It can be concluded that ESA method may increase students’ English vocabulary mastery in writing class.
Features of Social Action that Mobilize Response when Professionals Interact with Young Beginner Users of Eye-gaze Accessed Speech Generating devices

Features of Social Action that Mobilize Response when Professionals Interact with Young Beginner Users of Eye-gaze Accessed Speech Generating devices
Legal technology: Spam to scam: The growth of email fraud

We can all recall that moment - we receive an email stating that a relative we have no recollection of has serendipitously passed away, bestowing upon us untold riches in exchange for a fee to be sent to an unknown 'good Samaritan'.
Combat Decision-Making Modeling Method Based on Genetic Neural Network

Combat decision-making is a complex thinking process, and the decision-making model needs to consider multi-level and diversified factors. It is difficult to solve the problem of combat decision-making using the available mathematical model; our paper proposes a modeling method based on genetic neural network. Firstly, we analyze the nonlinear characteristics of the combat decision-making and expound the basic principles of neural network and genetic algorithm modeling; then put forward the decision-making method combining neural network and genetic algorithm. Followed by a description of the running process of the genetic neural network. Finally, we perform an experiment of the decision-making model. The feasibility of our proposed algorithm is proven by simulation data analysis.
Risk Assessment Model of College Students' New Ventures Based on Big Data Analysis and Fuzzy Evaluation

In recent decades, the number of newly-employed people in China has continued to grow. At the same time, with the expansion of universities, the number of university graduates has also grown linearly. Based on the employment pressures of society and college graduates, the state clearly puts forward the slogan of promoting employment through entrepreneurship, and college students have become the focal point for responding to this slogan. This paper proposes a fuzzy comprehensive evaluation model and method for college students' online entrepreneurship risk. The research status of college students' entrepreneurship risk assessment at home and abroad is analyzed, and the reasons for the high error rate of College Students' entrepreneurship risk assessment are found. Then the model of risk assessment is established based on the support vector machine of large data analysis method. Finally, the effectiveness and superiority of the algorithm are tested through specific simulation and comparison experiments, which provided a scientific basis for the college students' online venture risk aversion strategies.
A Study on the Research and Operation Trends of Learner Centered Teaching Methods : Focusing on Flipped Learning

The purpose of this study is to analyze the research and operational trends of flipped learning in the last five years. For this purpose, we analyzed 441 academic papers provided by DBPIA, e-Article, KISS, and Scholar. In the last five years, the study was categorized by year of publication, academic field, research area, research target, and subject area. Since 2015, flipped learning related research has been on the rise, especially in the field of education in 251 (56.9%), effectiveness studies in 161 (36.5%) and undergraduate / graduate students 347 (78.7%). The number of subjects related to major education was 246 (55.8%) and 130 (29.5%). As the results of the study show, quantitative expansion of studies related to flipped learning is occurring in university education, but efforts are made to expand performance by preparing policy support strategies in order to ensure the quality of flipped learning operation in universities. The results of this study are expected to be used as basic data for improving the teaching-learning environment of educational institutions.
LibGuides: UL Library Systems, Applications and Online Services: Home

A guide on how to access and utilise UL Library Systems, Applications and electronic resources
The OAuth 2.1 Authorization Framework

The OAuth 2.1 authorization framework enables a third-partyapplication to obtain limited access to an HTTP service, either onbehalf of a resource owner by orchestrating an approval interactionbetween the resource owner and the HTTP service, or by allowing thethird-party application to obtain access on its own behalf. Thisspecification replaces and obsoletes the OAuth 2.0 AuthorizationFramework described in RFC 6749.
Penggunaan Extreme Programming Untuk Rancang Bangun Aplikasi Sekretariat Paroki (Studi Kasus Pada Gereja Katolik Santo Petrus Palembang)

As part of the Catholic Church organization, the Parish Secretariat has an important role in recording information relating to parishioners. The work of the Parish Secretariat staff is very helpful in supporting the Parish Priest's task in managing the administration of the Church. In its implementation in the Parish Catholic Church of St. Peter Palembang, the secretariat staff faced several problems because the application was only able to process one activity, namely documenting Baptist data. While other data processing is still done manually. The purpose of this study is to build applications that complement the shortcomings of existing applications. To produce applications that can run well and in accordance with needs, the method in the design process is needed. Extreme Programming method is the choice in this design because it is suitable for use in designing small scale applications. Index Term— Parish Secretariat Application, Catholic Church, Extreme Programming
THE CORRELATION BETWEEN STUDENTS’ MOTIVATION AND LEARNING GRAMMAR

This correlation research aimed to find out whether there is correlation between students’ motivation and learning grammar. The population of this research was the students at the second grade students of MTs Al-Muslimun NW Tegal, which consisted of 104 students. The sample of this research used one class which consisted of 26 students. The sampling technique used simple random sampling. The instruments of this research used grammar test and questionnaire. The result of the analyzed showed that the value of r-test (0.880) was higher than r-table (0.388), in 0.05 of significant level. Based on the result of the study, it could be concluded that there was correlation between students’ motivation and learning grammar. In other words, alternative hypothesis (Ha) was accepted and null hypothesis (Ho) was rejected.