Reviewerly/exHarmony huggingface dataset:
Nuove ricerche sull’<i>Attila Flagellum Dei</i> di Nicolò da Càsola

Abstract My article focuses on the Franco-Italian poem Attila Flagellum Dei , composed by Nicolò da Càsola, an Italian notary, in the second half of the XIV century for the Estensi in Ferrara, in order to celebrate the heroic origins of the family: actually, it is the first encomiastic poem dedicated to them, before the major works by Boiardo and Ariosto. The poem is witnessed by a single manuscript (divided into two tomes), supposedly in the hand of the author himself. My study provides a new biographic profile of Nicolò and his family, also through an overview of some archival documents from the Archivio di Stato in Bologna. The article also presents a brief summary of the narration, and outlines the principal characters, the positive ones ( Forest and Gilius in particular) as well as the negative ones (Attila), seen as prototypes alluding to other fictional or historical figures ( Forest = Hector of Troy; Attila = the entire Visconti’s family). At last, my paper offers a sample (the proem) of the critical and commented edition I am working at. The text is preceded by an analysis that illustrates its peculiar linguistic features, with a particular regard on the rhymes: indeed, far from being representative of the generic class of Franco-italian works composed by Italo-Romance authors, the poem Attila Flagellum Dei shows a combination of hypercharacterized French and Italo-Romance dialects of Northern Italy.
Brain Image Synthesis with Unsupervised Multivariate Canonical CSC$\ell_4$Net

Recent advances in neuroscience have highlighted the effectiveness of multi-modal medical data for investigating certain pathologies and understanding human cognition. However, obtaining full sets of different modalities is limited by various factors, such as long acquisition times, high examination costs and artifact suppression. In addition, the complexity, high dimensionality and heterogeneity of neuroimaging data remains another key challenge in leveraging existing randomized scans effectively, as data of the same modality is often measured differently by different machines. There is a clear need to go beyond the traditional imaging-dependent process and synthesize anatomically specific target-modality data from a source input. In this paper, we propose to learn dedicated features that cross both intre- and intra-modal variations using a novel CSC$\ell_4$Net. Through an initial unification of intra-modal data in the feature maps and multivariate canonical adaptation, CSC$\ell_4$Net facilitates feature-level mutual transformation. The positive definite Riemannian manifold-penalized data fidelity term further enables CSC$\ell_4$Net to reconstruct missing measurements according to transformed features. Finally, the maximization $\ell_4$-norm boils down to a computationally efficient optimization problem. Extensive experiments validate the ability and robustness of our CSC$\ell_4$Net compared to the state-of-the-art methods on multiple datasets.
학령기 이중언어 아동의 두 언어 능숙도와 부모의 L1/L2 사용률 간의 관계

The first language or mother tongue (L1) paves the way for acquiring a second language (L2) as well as developing self-identity in culturally and linguistically diverse children (CLD). This study examines the interrelated issues of language environment and CLD children’s L1 and L2 abilities. In particular, this study focused on the parental use of L1 and L2 and how it affects to CLD’s L1 and L2 in a various situation. Fifteen parents of CLD children using a variety of L1 backgrounds and English as L2 participated in the study. They all went to international schools in Korea. Using the parent’s language environment report (PLEQ; Hong, 2018), L1 and L2 usage were measured by daily activity and communication type. Parents also evaluated their children’s L1 and L2 skills in four areas: speaking, listening, reading, and writing. Based on the reports of the children’s L1 and L2 skills in the parent’s PLEQ, children were classified into the native-like-L1 group, the nonnative-like-L1 group, the native-like-L2 group, and the nonnative-like-L2 group. The results showed that parents of the native-like-L1 group used more L1 than parents of a nonnative-like-L1 group in affectionate communication. Parents in the native-like-L2 group also used more L1 than parents of the nonnative-like-L2 group in academic communication. The study results implicated that the use of L1 in affectionate communication and academic communication may positively affect their perception of children’s L1 and L2 skills. (Ewha Womans’ University)
Learning curriculum vocabulary through mobile learning: impact on vocabulary gains and automaticity

In recent years there has been a great deal of attention on mobile-assisted language learning. However, studies integrated with the curriculum are still lacking. This study adopts a quasi-experimental design to investigate the effect of mobile learning on curriculum vocabulary. 59 students participated in a mobile-assisted vocabulary learning project which lasted for a semester, and 60 students in another intact class used the traditional learning approach. Data were collected from the vocabulary pretest and posttest, as well as response times in the pre and posttest. Students' grades from the final exam were also collected for analysis. Results show mobile-assisted vocabulary learning can improve the students' vocabulary gains, automaticity and overall academic performance.
It's Time for Laptop Returns!

During Columbus State University's COVID-19 closure, CSU Libraries lent out over 100 laptops to students who needed them to complete course work. This poster advertises the times when students could return their laptops after the university opened again in May, 2020.
Current State of Materials Used for Structural Parts in Cranes

The structural standards that are the basis for the design and manufacture of cranes specify the materials that can be used for structural parts. The material must be a steel material that conforms to JIS, or a steel material of equal or higher quality. The newly applied material can be used if it is approved, and Japan Crane Association is involved in deciding on the adoption of the material. As a recent trend, the number of inquiries about overseas standard materials, thin high-strength steel, and aluminum materials used in imported cranes is increasing. In some cases, a clear view cannot be given due to the lack of standards that show the basis of judgment and the difference between JIS and overseas standards (eg, test method, chemical composition, etc.). In this paper, regarding the materials used for the structural parts such in cranes, we will show the related standards and problems in judging the acceptance, and introduce the efforts of Japan Crane Association.
RA-BNN: Constructing Robust &amp; Accurate Binary Neural Network to Simultaneously Defend Adversarial Bit-Flip Attack and Improve Accuracy

Recently developed adversarial weight attack, a.k.a. bit-flip attack (BFA), has shown enormous success in compromising Deep Neural Network (DNN) performance with an extremely small amount of model parameter perturbation. To defend against this threat, we propose RA-BNN that adopts a complete binary (i.e., for both weights and activation) neural network (BNN) to significantly improve DNN model robustness (defined as the number of bit-flips required to degrade the accuracy to as low as a random guess). However, such an aggressive low bit-width model suffers from poor clean (i.e., no attack) inference accuracy. To counter this, we propose a novel and efficient two-stage network growing method, named Early-Growth. It selectively grows the channel size of each BNN layer based on channel-wise binary masks training with Gumbel-Sigmoid function. Apart from recovering the inference accuracy, our RA-BNN after growing also shows significantly higher resistance to BFA. Our evaluation of the CIFAR-10 dataset shows that the proposed RA-BNN can improve the clean model accuracy by ~2-8 %, compared with a baseline BNN, while simultaneously improving the resistance to BFA by more than 125 x. Moreover, on ImageNet, with a sufficiently large (e.g., 5,000) amount of bit-flips, the baseline BNN accuracy drops to 4.3 % from 51.9 %, while our RA-BNN accuracy only drops to 37.1 % from 60.9 % (9 % clean accuracy improvement).
Research activities starting from the «school wall» to promote the development of cognitive abilities and independence of students

This article discusses the methodology that was introduced into school during the period of scientific pedagogical practice, as one of the types of cooperation between the school and the higher educational institution. The idea is substantiated that through research work it is possible to form students’ natural-science thinking and increase cultural and spiritual values. In particular, the authors argue and disclose the process of implementing the methodology, conduct a complete analysis of the results and determine the development trend of students. The work was done at Kazakh National University. al-Farabi highly qualified specialists with extensive experience in both teaching and research activities. Under the guidance of mentors, students in grades 9-10 of the Prestige Schools in Almaty were able to carry out scientific and practical projects, as well as present them at conferences at both regional and international levels. The presented works by schoolchildren were protected at a high level, which indicates the effectiveness of the entire work process. The authors conclude that research is one of the most effective ways of developing students’ natural science thinking and enhancing cultural and spiritual values. The article has an interdisciplinary character, is useful to specialists of various faculties practicing in school educational institutions, as well as to teachers of secondary schools.
An algorithm for computing the t-signature of two-state networks

Due to the importance of the signature vector in studying the reliability of networks, some methods have been proposed by researchers to obtain the signature. The notion of signature is used when at most one link may fail at each time instant. It is more realistic to consider the case where none of the components, one component, or more than one component of the network may be destroyed at each time. Motivated by this, the concept of t-signature has been recently defined to get the reliability of such a network. The t-signature is a probability vector and depends only on the network structure. In this article, we propose an algorithm to compute the t-signature. The performance of the proposed algorithm is evaluated for some networks.
RESEARCHING ATTITUDES TOWARDS READING – A CASE STUDY OF STUDENTS OF THE FACULTY OF MINING, GEOLOGY AND PETROLEUM ENGINEERING, UNIVERSITY OF ZAGREB

Information about the paper titled "RESEARCHING ATTITUDES TOWARDS READING – A CASE STUDY OF STUDENTS OF THE FACULTY OF MINING, GEOLOGY AND PETROLEUM ENGINEERING, UNIVERSITY OF ZAGREB" at IATED Digital Library
Expert System to Diagnose Kidney Failure with Web-Based Naïve Bayes Method: Expert System to Diagnose Kidney Failure with Web-Based Naïve Bayes Method

Expert system is a development of AI that is designed to meet and facilitate decision making. Although the expert system is artificial intelligence, the expert system has only one domain in problem solving, such as medicine, engineering, and business. The method used in this study is the naive bayes method. Naive Bayes is a calculation method with probabilities and statistics in calculations. This research was made by combining information technology knowledge with health science which is intended to facilitate the use of computers in anticipating kidney failure. Kidney failure is a disease that is often experienced by people, especially in Indonesia. Because kidney failure is a deadly disease even though it is often underestimated by the community, especially Indonesia. The purpose of this paper is to assist the public in anticipating kidney failure that is still lacking knowledge and sensitivity to the disease. The application of the expert system is made with the naive bayes method which has the function to calculate the percentage of presentations due to kidney failure and can help the role of doctors in making decisions in determine the type of kidney failure. In this application, an expert system for diagnosing kidney failure has an accuracy value of 81.67% from 60 test data.
An Error Analysis of Students’ English Vowel Pronunciation at The Sixth Semester of Islamic Studies of International Class Program of State Islamic Institute (IAIN) of Samarinda

Pronunciation is very important to avoid misunderstanding when people are communication. If it pronunciation is wrong, the meaning of the word changes. It can make someone not understand what we are saying. Many students still have error pronunciation. In IAIN Samarinda, Non-English studies are given English lessons like TOEFL, Public Speaking and language intensive. The lesson is not far from pronunciation, grammar, speaking, reading and listening. They are the students of International Class Program (KKI). The objective of research is to know is the students’ English vowel pronunciation error at the sixth semester of Islamic Studies of International Class Program of state Islamic institute (IAIN) of Samarinda. The research used descriptive qualitative. The main instrument is test. This research is carried out on the sixth semester students of International Class Program (KKI) of State Islamic Institute of Samarinda in the year 2019/2020. There are 15 students as participants. The result was found that there was an error in pronouncing English vowel. From the most common mistakes, to those that do not occur, are as follow: vowel /ʊə/ had 17 errors in both words, /ʌ/ occurred 15 errors, /ɒ/ occurred 12 errors, /ɑː/ occurred 8 errors, /ə/ occurred 7 errors, /ɪə/ occurred 6 errors, /ɔː/ occurred 4 errors, /eɪ/ occurred 4 errors, /ɔɪ/ occurred 4 errors, /ɛə/ occurred 4 errors, /aɪ/occurred 3 errors, /aʊ/ occurred 3 errors, /uː/ occurred 2 errors, /ɜː/ occurred 2 errors, /æ/ occurred 2 errors, /ɪ/ occurred 2 errors, /iː/ occurred 1 errors, /ʊ/ occurred 0 errors, /e/ occurred 0 errors, and /əʊ/ occurred 0 errors. The results showed that the participants were more dominant making mistakes in vowels /ʊə/, /ʌ/, and vowel /ɒ/.
A hardware-oriented algorithm of GMM-MRCoHOG for high-performance human detection by an FPGA

In this study, we propose a hardware-oriented Gaussian mixture model – multiresolution co-occurrence histograms of oriented gradients (GMM–MRCoHOG) algorithm for efficient human detection by a field-programmable gate array (FPGA). GMM–MRCoHOG is a HOG-based human detection method in which the computation of angles is quantized to 36 directions and 2D Gaussian distribution computation causes a decrease in processing speed and an increase in hardware resource usage. We propose a hardware-oriented algorithm to solve these problems. First, we propose a rough angle computation method of comparison with a tangent table. Second, we propose a bit-shifting-based Gaussian distribution computation method. Experimental results show that the proposed hardware-oriented algorithm does not significantly reduce the detection accuracy of GMM–MRCoHOG. High-level synthesis results of the FPGA implementation show that fast, low-resource processing is possible.
LibGuides: E-Reserves in the Library: Info for Faculty

Information about the library's electronic reserve services in conjunction with Moodle, guidelines for book chapter scanning requests, etc. how to make requests for ebooks, chapter scans, etc. for placement on E-Reserve
RANCANG BANGUN SISTEM INFORMASI AKADEMIK PADAPONDOK PESANTREN NURUL IMAN AL-BARKAH

At the Nurul Iman Al-Barkah Islamic Boarding School the data processing system is still manual by recording using bookkeeping, Microsoft Excel and not yet integrated with the database, so the Islamic boarding school needs a more developed academic information system in order to manage santri data such as biodata, value data and santri violation point data. This research is to build an academic information system that can be used as a facility in managing the presentation of information, reporting information to facilitate the trustees of students in monitoring or seeing the acquisition of student development based on existing data. To manage the violation points of students use the Fuzzy Resistant Method which will determine what type of violation category is obtained. Categories are divided into 3 namely mild, moderate and severe, each category will bring up a message addressed to the guardians of students. By testing the Black Box to find out whether the function of each button is appropriate and testing ISO/IEC 9126-1 to measure and test the quality of the academic information system and get results of 85.73% classified into the very good category.
Maximising protection in an era of remote working

Businesses have thrown themselves into working from home to keep the wheels turning during the current global health crisis. As IT-dependent organisations have logged on remotely to ensure their survival, cyber security has become a paramount issue.
Object tracking for tangible projection mapping by using multiple contours

In this study, we propose a projection mapping method using contours viewed from multiple viewpoints to achieve highprecision tracking of objects that can be grasped and moved freely by hand. Recently, dynamic projection mapping, which changes the appearance of a moving object, has been actively studied. In particular, tracking a grasped object is difficult because the object is shielded. We have proposed a method for achieving high-precision object tracking using only ordinary infrared cameras. Nonetheless, there were still challenges that made it difficult to keep track. In this study, we propose a more robust and accurate object tracking by adding contours obtained from different viewpoints by increasing the number of cameras, which is more robust to shielding and accurate.
Teaching Design of Vocal Music Course Group in Normal University Based on Intelligent Technology of Virtual Simulation Experiment

Virtual simulation technology has been widely used in many fields, including in the teaching process of many subjects in colleges and universities. However, little has been carried out in practical teaching of courses such as arts and physical education. This paper puts forward a course group teaching design of vocal music education in musicology. It demonstrates many aspects such as design ideas of experiment teaching, composition of virtual simulation experiment teaching simulator equipment, students' interactive operations, examination content of the experiment and evaluation system, and also discusses the embedded application of virtual simulation experiment teaching in vocal music related courses.
"BOLDNESS AND BEAUTY" FOR THE DESIGN AND DEVELOPMENT OF EFFECTIVE LIGHTWEIGHT DEPARTMENTAL WEBSITES

G. Moisiadis1, E. Papaioannou2 1University of Patras (GREECE) 2University of Patras & CTI Diophantus (GREECE)
NEW TRENDS AND CHALLENGES IN SECURITY RESEARCH

Security research is an integral part of security education, which is taught at selected universities in Slovakia and abroad. Given the common past, it can be said that the Czech Republic is close to security research in the Slovak Republic. The aim of the article is to confirm or refute this idea by analyzing the research activities of individual entities engaged in security research in both countries. The identification will determine the numbers and funding of security research projects as well as the identification of grant opportunities in each country.Through identification, it should be possible to point out the direction of security research in individual countries and their readiness to respond to current national as well as international challenges posed by digitization. Digitization brings with it possibilities how to transform object security to a higher, more modern level. Part of the article will be the identification of the readiness of individual subjects in terms of material and spatial equipment for possible new challenges in security research in the next decade.
Estimation Curve Semiparametric Regression with the Spline Linear Approach to Poverty Data in Bali Province

In semiparametric regression, nonparametric components can be approached by spline. Splines are pieces of polynomial that are segmented and continuous. The one advantages of spline is the presence of knot points that indicate changes in the pattern of data behavior. This research purposetoobtain semiparametric regression curve estimation with linear spline approach. The method of optimization approach used by ordinary least square (OLS). Based on this research, there are two variables that have a significant effect on the percentage of poor people in Bali Province, namely the Open Unemployment the rate of economic growth. The total variance of response that can be explained by predictor in this model is 67.97% with MSE of 9.7854.
IMPLEMENTASI MODEL FORENSIC AWARE ECOSYTEM FOR IOT (FAIOT) PADA PURWARUPA RUMAH PINTAR BERBASIS INTERNET OF THINGS (IOT)

The internet network that connects many computers in the world has now reached almost all regions in Indonesia. IoT is a technology concept consisting of objects that are connected to each other via an internet network that has a special address and can communicate with each other which gives birth to various types of smart systems such as smart homes, smart farms, smart cities, smart building, smart health, smart transport, and smart environments. other. This study designs a smart home application model that is designed in such a way as to be equipped with the FAIoT model . This research has a specific objective, namely to apply the FAIoT model to a smart home application prototype, then run a case simulation on a smart home application and analyze the resulting digital artifacts as a consideration in proving a case. Based on the results of the analysis and observations of the forensic IoT devices in the form of two smart houses that were targeted by the attackers, it shows that system activity is stored properly on the FAIoT platform. The results of the analysis prove that the attack on IoT devices in the form of two smart houses can reveal the facts of the case based on findings that are used as digital evidence. In addition to the fact findings from the cases that occurred in this study, the Internet of Things (IoT) environment with the FAIoT Model has been successfully developed in this study, which can be used as research objects. Keywords: Smarthome, Internet of Things, IoT forensic, IoT Security
Utilization of Visual Materials, Experience Materials, and Confirmation Quizzes in Dynamics Subjects

This paper introduces mechanics education using visual materials, experience materials, and confirmation quizzes. At the "beginning" of the lecture, students are guided from a physical or concrete existence to abstract concept. In engineering mechanics, we have created teaching materials to experience mass 1kg, force-deformation relationship, forcemotion relationship, support reaction force, stability of equilibrium, the center of gravity, and moment of inertia. Moreover, we have created teaching materials to experience free vibration and natural frequency of a one-degree-of-freedom vibration system, forced vibration and resonance, and whirling of a rotating shaft in mechanical mechanics, and PID control of positioning in control engineering. Using these teaching materials, demonstration experiments are conducted by teachers, and experience experiments by students themselves. At the “end” of the lecture, the points of the lesson are summarized in simple illustrations and short sentences to create a “mental model” that can be remembered for a long time. Moreover, in order to strengthen and establish the mental model that we created, we introduce confirmation quizzes that select the correct one from among sentences and diagrams that contain mistakes.