Reviewerly/exHarmony huggingface dataset:
On the Influence of Non-Linear Phenomena on Perceived Interactionsin Percussive Instruments

In this paper, we investigate the hypothesis that perceived impact strength is strongly influenced by the non-linear behavior produced by large deformations in percussive instruments. A sound corpus is first generated from a physical model that simulates non-linear vibrations of a thin plate. The e↵ect of non-linear phenomena on the perceived strength is further quantified through a listening test. The aim of this study is to improve the expressive potential of synthesizers of percussive sounds through the development of signal transformation models. Future work will focus on the modeling of sound morphologies that correspond to non-linear behavior and the development of a transparent control strategy.
Migrating to Snowflake

Throughout the book you have learned about key concepts of Snowflake, including its architecture and its security capabilities. You have also met some unique Snowflake features. Moreover, you saw how Snowflake can be integrated with third-party tools for ELT/ETL and BI purposes as well as big data and advanced analytics use cases with Spark.
Application Design of the Medicines Usage Prediction Based on Backpropagation Neural Network Method and PHP

The development of information technology makes many organizations utilizing it in their business process. For example, hospitals use certain information systems in medicine management. We observe that most medicines applications do not provide the drug usage prediction feature so that this situation causes the hospital staff being difficult in providing enough medicines. Therefore, in this experimental research, we developed an application in the form of a simple design for helping the hospitals in predicting daily medicine usage. This application also provides medicines stock management and doctor diagnosis features. The Brainy library is used to facilitate implementing the backpropagation neural network method in PHP programming language. We choose PHP because this server script is widely used in information system development. We demonstrated that the mock-up as the result of this development is able to work properly. For further study, we suggest expanding this mock-up become a full hospital information system that covers many functions in medical centers.
Avaliação da adesão à dupla antiagregação plaquetária após angioplastia coronariana

Background: The adherence to DAPT after PCI with drug-eluting stent implantation in Brazil is still unknown.Objectives: Access adherence to DAPT in the first 30 days after PCI with drug-eluting stent implantation in patients from public health system in a hospital from south of Santa Catarina. Identify association between the adherence’s rate and the clinical and sociodemographic profiles of patients.Methods: A prospective cohort observational study was designed. 156 patients submitted to Percutaneus Coronary Intervention (PCI) were included. At the PCI hospitalization sociodemographic characteristics, comorbidities, antecedents and technical data of the procedure were collected. Thirty days after the procedure the DAPT’s rate of adherence was evaluated through the Morisky Therapeutic Adherence Scale (MMAS-8).Results: High adherence to DAPT was seen in 99 (64%) patients, moderate adherence to DAPT was seen in 35 (22.4%) patients and low adherence to DAPT was seen in 22 (14.1%) patients. It was observed that patients with at least 8 years of school education had a 40% higher prevalence of high adherence to DAPT (PR 1.39; 95% CI 1.04-1.88; p = 0.026 ). Patients with STEMI had a 50% higher prevalence of high adherence than patients with stable angina (PR = 1.54; 95% CI: 1.01-2.35; p = 0.032).Conclusions: In this study, most of patients had a high adherence to DAPT 30 days after PCI. Nevertheless, the prevalence of patients with moderate or low adherence was high, especially on the low educational level and stable coronary disease subgroups.
The Transformation of Communicative Practices in the Development of Organizational and Methodological Support for Contemporary Arts Education

The twenty-first century has seen the strengthening of the requirements of higher education and highlighted the contradictions in the globalization of all aspects of the economic and sociocultural life of society. As a resultof these processes, the view of what constitutes a person and how they are formed and develop is changing.The modern education system is still centered on remembering as much information as possible, rather than on the conscious assimilation of the essential links and relationships relevant to a field of study.The result is a failure of vision and thought, which generates unpredictable effects associated with the uncontrolled power of modern electronic media. Thishas contributed to the emergence of a new paradigm of education, which,from our point of view, requires the overcoming of the absolutization of the competence-based approach and a transition to interdisciplinarypositions that provide for the holistic development of an individual who is capable of fully realizing their spiritual and creative potential, not only inthe field of social interaction, but also in the transformation of their social environment.
Corruption Galore and The Development Initiatives In Nigeria

It is the aspiration of every independent nation to attain some degree of development over a certain period of time but of course to achieve such, planning through deliberate formulationand diligent implementation of development policies is the wheel to success, since development cannot occur naturally or by accident. This study examined the Nigerian development initiatives from the first to the fourth National Development Plan and subsequent developmental agendas of each regime but more importantly, how corrupt practices had stolen, killed and destroyed the primary aims of each plan. A review of corruption cases in Nigeria political sphere revealed the extent at which corruption had made development becomes a mirage in Nigeria. Glaringly, the study unveils that Nigeria remains an underdeveloped country mainly as a result of unabated corrupt practices in all sphere of governance and non-governmental establishment in the country and thereby it proffer workable solutions to combat this wicked menace.
CHANNEL EQUALIZATION BASED ON SFLA AND DSO TRAINED ARTIFICIAL NEURAL NETWORK

This paper presents a novel method for optimizing the weights of a neural network applied to channel equalization. Although several algorithms are found in the literature to update the weights of the neural networks, each one has their merits and drawbacks. Therefore, a learning algorithm is often modified, or even hybridized with another one in order to enhance their performances. In this context, the authors present a new approach based on two algorithms which are: Shuffled Frog-Leaping Algorithm (SFLA) and Directed Search Optimization (DSO). The updating strategy in the local search of the standard SFLA is substituted with the updating strategy of the DSO algorithm. For the global search, the authors kept the strategy of the SFLA algorithm. The proposed method is compared with the standard Particle Swarm Optimization (PSO), the Modified Shuffled Frog-Leaping (MSFLA) and the DSO algorithms to evaluate their performances for nonlinear channel equalization. The experiments reveal that the proposed method presents the best results and outperforms the other algorithms.
STUDYING THAT SUPPORTS WORKING IN THE CONTEXT OF HIGHER EDUCATION

Appears in: ICERI2019 Proceedings Publication year: 2019Pages: 10814-10824ISBN: 978-84-09-14755-7ISSN: 2340-1095doi: 10.21125/iceri.2019.2660Conference name: 12th annual International Conference of Education, Research and InnovationDates: 11-13 November, 2019Location: Seville, Spain
Improving and Enriching Data Quality

In Chapter 4, we looked at an overview of Lightning Experience and studied the dynamic record page. Last, we discussed use cases for custom buttons, links, and actions using real-life examples.
EFEKTIFITAS PEMBERKASAN DOKUMEN DIGITAL MELALUI METODE TEMPLATE MATCHING CORRELATION

Scanning printed documents in the form of digital documents has become a necessity for many institutions and companies, as well as in LP3I Polytechnic Jakarta. One document that is often on over the media, i.e. diplomas and transcripts. With an average number of graduates reaching 1,900 per year, certainly many documents must be transferred to provide and be filed well, but there is no application that can manage documents over media that have already been given file names and unstructured filing, so the files are it will be difficult to search again. Generally, official documents include a unique number as an identity with a certain code structure, such as NIM, diploma number and transcript number. The purpose of this research is to determine the effectiveness of document scanning results by utilizing optical character recognition techniques known as OCR (Optical Character Recognition) on the unique number. The method used in this optical character recognition process is to use template matching correlation, which is a technique to get the highest value in the comparison of characters in input images, which have been segmented into letters and processed in binary image formats, and characters in template images. The results of this study are in the form of a prototype application using Matlab that can detect unique numbers in documents as a reference in filing files in the form of naming new files and placing them in the desired folder. Key words: documents, digital, template matching correlation
The shape of cyclic number fields

Abstract Let $m&gt;1$ and $\mathfrak {d} \neq 0$ be integers such that $v_{p}(\mathfrak {d}) \neq m$ for any prime p . We construct a matrix $A(\mathfrak {d})$ of size $(m-1) \times (m-1)$ depending on only of $\mathfrak {d}$ with the following property: For any tame $ \mathbb {Z}/m \mathbb {Z}$ -number field K of discriminant $\mathfrak {d}$ , the matrix $A(\mathfrak {d})$ represents the Gram matrix of the integral trace-zero form of K . In particular, we have that the integral trace-zero form of tame cyclic number fields is determined by the degree and discriminant of the field. Furthermore, if in addition to the above hypotheses, we consider real number fields, then the shape is also determined by the degree and the discriminant.
La «verace ystoria». Avviamento allo studio del volgarizzamento troiano di Mazzeo Bellebuoni

The essay focuses on Mazzeo Bellebuoni, a Pistojese notary who lived between the 13th and 14th centuries, and his written production. First of all, some information is shared about his life and his professional activity (§1); then, the paper discusses his ≪auto-translation≫ from Latin of the Statuto dell’Opera di San Jacopo, related today by the ms. Pistoia, Archivio di Stato, Opera di San Jacopo, 237 (§2). Mazzeo Bellebuoni, however, is especially known for his 1333 translation into Pistojese of Guido delle Colonne’s Historia destructionis Troiae, a text originally written in Latin that came to be considered a historical source during the Middle Ages: §§3.1-3.2 are dedicated to placing Mazzeo Bellebuoni in the context of the other vernacular translations developing the Trojan legend in Italy. This unreleased ≪volgarizzamento≫, only reported by two manuscripts stored in the Biblioteca Riccardiana of Florence (1095 and 2268), is useful for extracting the mid-14th century literary grammar of a Tuscan dialect which influences the Florentine variety. My research is an introduction to the first critical edition - which I am preparing - of this ancient Bellebuoni’s text: it includes a survey of the manuscript witnesses (§4.1), a review of previous incomplete editions (§4.3) and, above all, the first analytical description of the codex Riccardiano 2268 (signed R2; §4.1.1), which I selected as the textual base for the future edition of what I named Troiano Riccardiano (§4.2).
Structural architecture of the Western and Central Transverse Ranges, California, USA

Author(s): Levy, Yuval | Advisor(s): Rockwell, Thomas K | Abstract: The Transverse Ranges of California is an active fold-and-thrust belt and has produced some of the most destructive earthquakes in Southern California. Understanding the subsurface structure has both scientific and societal importance, in particular for earthquake hazard assessments. The diverse set of conflicting structural models, specifically in the Western Transverse Ranges, highlights the lack in understanding of the fault architecture in the subsurface. This Thesis presents a new structural model for the Western Transverse Ranges, a test of the model predictions against GPS measurements, and an advancement of the understating of the subsurface structure, evolution and slip rates in the Central Transverse Ranges. After the full range of available observations was compiled we applied structural forward modeling using Trishear to match the observed structure and the interpreted evolution. The first chapter describes modeling of the Western Transverse Ranges since the Pliocene as a southward propagating imbricate thrust system. The second chapter presents a refinement of the model in chapter one, which was accomplished by comparing of a series of kinematic model predictions against GPS measurements in order to narrow the estimated range of dips for the deep part of the fault system. This is also the first time a structural model for the entire Western Transverse Ranges incorporates the full range of geological and geophysical data and observations. The third chapter presents the structural evolution of the Sylmar basin in the highly populated area of San Fernando Valley, northern Los Angeles county. The chapter presents an argument for lowering the estimated slip rate of the Santa Susana fault and distributing it to the faults that are located farther south. The structural understanding as developed by this thesis can help to improve the earthquake risk assessments in the Transverse Ranges.
BENCHMARK TESTING OF A SECURE EXECUTION AUTOMATED SYSTEM

A brief description of the state of the market of domestic OS, which can be certified as part of the AU are given. In addition, the description of what includes certification tests of the object of Informatization, the program of certification tests, methods of certification tests and the Protocol of certification tests is made.
Theoretical Foundations of Cryptography in the Wild

Author(s): Stepanovs, Igors | Advisor(s): Bellare, Mihir | Abstract: iMessage is an instant messaging service that uses end-to-end encryption. It is estimated to have 1.3 billion active users. iMessage uses a non-standard encryption protocol, and Apple has not made public any justification or security analysis of this protocol. The protocol involves symmetric encryption of a message under a key that is derived from the message itself. This motivates us to formalize a primitive we call Encryption under Message-Derived Keys (EMDK). We define a signcryption scheme that models the design of iMessage, containing an EMDK scheme at its core. We provide a proof-based analysis of the signcryption scheme. Our results are quantitative, and we discuss the practical implications for iMessage.Program obfuscation is a technique that could lead to strong privacy-enhancing applications, and is desired by industry and academia alike. But thus far the exact design of the program obfuscation technique has eluded everyone. We study the theoretical achievability of various security notions for program obfuscation, and show negative results for some of them. For the simpler notion of point-function obfuscation that was affected by our results, we recover it by suggesting new constructions of such obfuscator.
Pengaruh Efikasi Diri dan Dukungan Sosial Teman Sebaya terhadap Prestasi Belajar

Learning achievement is influenced by several factors such as internal factors or external factors. The purpose of this study is to determine the effect of self-efficacy and social support of peers on learning achievement simultaneously or together. The sampling technique uses simple random sampling in one of the existing SMA N in Woha District, Bima Regency, West Nusa Tenggara. The subjects in this study were 150 high school students in class X. The method of data collection in this study uses a scale of self-efficacy and social support of peers and reporr cards. The results of the multiple regression test analysis showed that self-efficacy and social support of peers simultaneously or simultaneously affect the learning achievement with an influence contribution of 25,0%.
RobotMe: A drone platform for control education

In this paper, RobotMe, a new educational robotic platform is presented. It is dedicated to drone position control using various control designs. Different material and software elements employed in the platform are detailed. Some improvement guidelines are also proposed.
Le attività di IFLA-FAIFE negli ultimi anni: contributo al rafforzamento del ruolo delle biblioteche per la libertà di informazione e di espressione

Within the debate on intellectual freedom, this article informs about activities of IFLA-FAIFE Committee, the body that deals with freedom of access to information and freedom of expression within IFLA. In the last two years the Committee has examined, within framework of intellectual freedom and human rights, different is- sues of the relations between the world of libraries and the freedoms of access to information and expression, producing documents and working tools that could help librarians, libraries and their users.
Hubungan Antara Dukungan Sosial Keluarga dan Efikasi Diri dengan Motivasi Belajar pada Siswa SMP

This research aims to determine the relationship between family social support and self-efficacy with the motivation to learn in junior high school students. The proposed hypothesis is that there is a positive relationship between family social support and self-efficacy with the motivation to learn in junior high school students. The method used in this research is quantitative correlational. Data collection uses a learning motivation scale that has a validity that moves from 0.6 to 0.9 and has a reliability of 0.824 and uses a family social support scale that has a validity that moves from 0.6 to 0.9 and has a reliability of 0.873 as well as the self-efficacy scale that has a validity that moves from 0.6 to 0.9 and has a reliability of 0.852. The research subject is a grade VIII student of SMP A as much as 56 students. Samples were taken using the random sampling cluster technique. Data analysis is conducted using multiple regression analyses and the results gained are F calculate of 33,863 with p = 0.000 (p < 0.05), meaning there is a positive and significant relationship between family social support and self-efficacy with motivation study in junior high school students. The amount of effective contribution of family social support and self-efficacy to the motivation of learning is 56.1% so there are 43.9% other factors that affect the learning motivation of students.
A Study of Perceptions on Incident Response Exercises, Information Sharing, Situational Awareness, and Incident Response Planning in Power Grid Utilities

The power grid is facing increasing risks from a cybersecurity attack. Attacks that shut off electricity in Ukraine have already occurred, and successful compromises of the power grid that did not shut off electricity to customers have been privately disclosed in North America. The objective of this study is to identify how perceptions of various factors emphasized in the electric sector affect incident response planning. Methods used include a survey of 229 power grid personnel and the use of partial least squares structural equation modeling to identify causal relationships. This study reveals the relationships between perceptions by personnel responsible for cybersecurity, regarding incident response exercises, information sharing, and situational awareness, and incident response planning. The results confirm that the efforts by the industry on these topics have advanced planning for a potential attack.
Leveraging Auxiliary Text for Deep Recognition of Unseen Visual Relationships.

One of the most difficult tasks in scene understanding is recognizing interactions between objects in an image. This task is often called visual relationship detection (VRD). We consider the question of whether, given auxiliary textual data in addition to the standard visual data used for training VRD models, VRD performance can be improved. We present a new deep model that can leverage additional textual data. Our model relies on a shared text--image representation of subject-verb-object relationships appearing in the text, and object interactions in images. Our method is the first to enable recognition of visual relationships missing in the visual training data and appearing only in the auxiliary text. We test our approach on two different text sources: text originating in images and text originating in books. We test and validate our approach using two large-scale recognition tasks: VRD and Scene Graph Generation. We show a surprising result: Our approach works better with text originating in books, and outperforms the text originating in images on the task of unseen relationship recognition. It is comparable to the model which utilizes text originating in images on the task of seen relationship recognition.
Development of Unified Morphological Models for the Research of Different Physical Processes in Electronic Systems

The paper proposes morphological models for the analysis of complex electronic systems quality criterion. The reason for resorting to morphological models is the need to increase attention to improving the quality and reliability of electronic systems in the early design stages. At the same time, many difficulties of mathematical modeling of the investigated heterogeneous physical processes occurring in electronic systems are solved. In this paper, the unification of the notation and the image of components based on analogies of mathematical descriptions. In linear synthesis morphological models in the form of connection of multipolar systems are offered. But they allow you to explore the electrical, mechanical and thermal processes only in linear approximation. In contrast to this representation, the paper also proposes unified view of morphological models in the form of a hypergraph, which will cover nonlinear cases.
On the &lt;inline-formula&gt;&lt;tex-math id="M1"&gt;\begin{document}$ k $\end{document}&lt;/tex-math&gt;&lt;/inline-formula&gt;-error linear complexity for &lt;inline-formula&gt;&lt;tex-math id="M2"&gt;\begin{document}$ p^n $\end{document}&lt;/tex-math&gt;&lt;/inline-formula&gt;-periodic binary sequences via hypercube theory

The linear complexity and the $ k $-error linear complexity of a binary sequence are important security measures for the security of the key stream. By studying binary sequences with the minimum Hamming weight, a new tool, named as the hypercube theory, is developed for $ p^n $-periodic binary sequences. In fact, the hypercube theory is based on a typical sequence decomposition and it is a very important tool for investigating the critical error linear complexity spectrum proposed by Etzion et al. To demonstrate the importance of hypercube theory, we first give a standard hypercube decomposition based on a well-known algorithm for computing linear complexity and show that the linear complexity of the first hypercube in the decomposition is equal to the linear complexity of the original sequence. Second, based on such decomposition, we give a complete characterization for the first decrease of the linear complexity for a $ p^n $-periodic binary sequence. This significantly improves the current existing results in literature. As to the importance of the hypercube, we finally derive a counting formula for the $ m $-hypercubes with the same linear complexity.