Reviewerly/exHarmony huggingface dataset:
On the proof complexity of MCSAT.

Satisfiability Modulo Theories (SMT) and SAT solvers are critical components in many formal software tools, primarily due to the fact that they are able to easily solve logical problem instances with millions of variables and clauses. This efficiency of solvers is in surprising contrast to the traditional complexity theory position that the problems that these solvers address are believed to be hard in the worst case. In an attempt to resolve this apparent discrepancy between theory and practice, theorists have proposed the study of these solvers as proof systems that would enable establishing appropriate lower and upper bounds on their complexity. For example, in recent years it has been shown that (idealized models of) SAT solvers are polynomially equivalent to the general resolution proof system for propositional logic, and SMT solvers that use the CDCL(T) architecture are polynomially equivalent to the Res*(T) proof system. In this paper, we extend this program to the MCSAT approach for SMT solving by showing that the MCSAT architecture is polynomially equivalent to the Res*(T) proof system. Thus, we establish an equivalence between CDCL(T) and MCSAT from a proof-complexity theoretic point of view. This is a first and essential step towards a richer theory that may help (parametrically) characterize the kinds of formulas for which MCSAT-based SMT solvers can perform well.
IMPLEMENTASI RAPID APPLICATION DEVELOPMENT UNTUK MENDIAGNOSIS PENYAKIT DIARE DAN DISENTRI PADA ANAK

The diagnosis of diarrhea and dysentery diseases, is felt to be almost the same and there is no difference. Diarrhea is a disease that is still common in childhood and even becomes one of the many diseases that cause death in children. Dysentery is a digestive system disorder that occurs due to inflammation of the large intestine which is characterized by abdominal pain and defecation repeatedly and causes the sufferer to lose a lot of fluids. The initial symptoms before consultation with a doctor can be overcome by an expert system that can make conclusions and drug solutions that must be consumed to alleviate them so as to prevent death as well as a fatal result of diarrhea and dysentery. Data collection was carried out with observations from several previous journals relating to the expert system regarding diarrhea and dysentery. While the development method uses RAD (Rapid Application Development). The data analysis method uses forward chaining, which is continuous sequence (asking for symptoms and then concluding). The design uses several UML diagrams including use case and sequence diagrams and use ERD (Entity Relationship Diagram) too. This research is expected to provide appropriate early treatment for children affected by dysentery or diarrhea. For further research, it is hoped that the process of adding a history of diarrhea and dysentery to all patients.
Accounting Information Quality Optimization of the Listed Company Based on Blockchain

Focusing on accounting information quality optimization of the listed company, this paper proposes a blockchain-based accounting process to optimize accounting information quality. It will effectively reduce the accounting fraud behavior and seriously affected the process of value discovery, which will enhance securities market effectiveness. The blockchain-based accounting process involves four parts: (a) confirmation of accounting information; (b) measurement of accounting information; (c) recording of accounting information; (d) reporting of accounting information. The blockchain-based accounting process makes it possible to automate all the transaction by smart contracts. The cryptographic algorithms guarantee the security of the transaction data.  The new accounting method attempts to record the accounting information of the listed company by distributed ledger technology. Consensus mechanism verifies the validity of accounting process. Finally, this paper uses EVA to evaluate the performance of the listed company after adopting blockchain-based accounting process. Hence, the blockchain-based accounting process can avoid accounting fraud, which will protect investors from financial fraud and ensure the effectiveness of the security markets.
Three Etudes for Symmetrical Cuboctahedral Speaker Array: An Exploration of Aural Space-Time Symmetry

Author(s): Diaz, Christopher | Advisor(s): Labor, Tim; Dicke, Ian | Abstract: Strategies of musical symmetry can partition an aural space in a manner similar to the way that scales partition an octave. In an exploration of a 12-channel diffusion system, I will compose three musical pieces expressing various methods of designing symmetrical based aural spatial premises with the goal of creating an experienceable spatial harmony. To achieve this, I will first design a cuboctahedral speaker array capable of representing multiple spatial harmonies. Second, I will develop a notation system that symmetrically visually represents the spatial harmonies for compositional intentionality. Finally, I will program a Max MSP software patch capable of integrating the array and notation for playback experiences and compositional interpretations. After these processes are outlined and described, I will then compose three etudes to demonstrate diverse methods of compositional strategies; they are dedicated to, and inspired by the works of Terrence McKenna, Nicola Tesla, and Carl Sagan.
Quantum mechanics textbook teaches through examples

Basic Quantum Mechanics, Kyriakos Tamvakis, Springer, 2019, $74.99 (paper) Buy at Amazon
Anonymized searches and their tracing

Tor protects against a common form of Internet monitoring known as analysis. Traffic analysis can be used to find out who is being talked to on a public network. Knowing the source and destination of your Internet traffic allows others to track your behavior and interests. This can affect your check book, for example, an e-commerce site uses price discrimination based on your country or origin. It even reveals who and where you are. For example, if you are traveling abroad and you connect to your[1] employer's computer to check or send mails, you inadvertently send your national origin and professional affiliation to someone observing the network Can appear, even if the connection is encrypted. This paper will discuss how network traffic will be clear and transparent. People using tools such as ToR can now be easily tracked and therefore the organization can easily filter malicious content from the entire stack of networks. Using specific algorithms and its associated code, the tool will also simplify filtering traffic based on certain categories and, after operating some pre-defined algorithms, traffic will also be analyzed.
Klasifikasi Berbagai Jenis Jamur Layak Konsumsi dengan Metode Backpropagation

Mushrooms are a potential source of vegetable food around us. But there are difficulties in recognizing different types of mushrooms worthy of consumption because they have similarities when viewed visually. This study aims to determine the accuracy of the backpropagation method in classifying various types of mushrooms suitable for consumption automatically. The steps taken begin with data capture, initial processing, feature extraction and classification. The data used are images of six types of mushrooms worthy of consumption including button mushrooms, ears, straws, portabella, shitake, and ash oysters. Total data used 222 mushroom data, each type consists of 37 image data. The data sharing is 216 data as training data and testing data, and 6 data are used for single data test. The initial processing stages are grayscalling, adjustment, binaryization, noise reduction and resizing. Feature extraction is done to obtain color characteristics (RGB and HSI) and texture characteristics (texture statistics and gray level co-occurrence matrices). The test results obtained an accuracy of 97%.
Identifying Abnormal Behavior of Users in Recommender Systems

Abstract— Nowadays, we deal with a large volume of information that we may have wrong choices without appropriate guidance. To this end, recommender systems are proposed which are a type of information filtering system that acts as a filter and displays information that is useful and close to the user's interests. They reduce the volume of the retrieved information and help users to select relevant products from millions of choices available on the internet. However, since these systems use explicitly and implicitly collected information about the user's interests for different items to predict the user's favorite items, the adversaries due to their openness nature might attack them. Therefore, identifying them is essential to improve the quality of the recommendations. For this purpose, in this paper, a method based on two criteria of a maximum number of users with the equal length and the degree of novelty of their profiles is presented and finally, the DBSCAN clustering algorithm is used to distinguish genuine users from fake users. In order to improve the DBSCAN algorithm, we proposed a new method to determine the values of Eps and MinPts automatically.The results of the proposed method are compared with a new comparative study on shilling detection methods for trustworthy recommendations, which shows that the proposed method independent of the type of attack can identify fake users in most cases with accuracy close to 1.
ESIP Lab Geoweaver Project

This presentation introduces the latest progress of ESIPLab GeoWeaver, the newly added features and the new use cases before 1/6/2020. This presentation was given at the Earth Science Information Partners (ESIP) Winter Meeting held in Bethesda, MD in January 2020.
Geoenvironmental Characterisation of the King River Delta: A Combined Geophysical, Geochemical and Mineralogical Approach

The Mount Lyell Mining and Railway company discharged nearly 95 Mt of tailings and 1.4 Mt of slag from its copper, gold and silver production into the Queen River from 1916 to 1994. Approximately 87.4 Mt of tailings has accumulated at the King River Delta. This research presents a geoenvironmental characterisation of the King River Delta that combines geophysical, geochemical and mineralogical data. Apparent resistivity and shear wave (Vs) profiles suggest the baseline of the tailings at 3-5 m depth. Low resistivity values (i.e. < 2 Ω·m) characterise the salt water intrusion, while resistivity values between roughly 5 to 12 Ω·m. below 15 m depth, suggests bedrock boundaries. Scanning electron microscope (SEM) analysis of sediments identifies pyrite, chalcopyrite. muscovite, quartz. chlorite. barite. and iron oxides in the tailings. Additionally, chemical analysis indicates high content of S and heavy metals (e.g., Fe, Cu, Co, Ni and Zn), which contribute to rapid acid formation and risk of metal leaching into the surrounded environment, confirmed by geochemical static tests.
Adoption of Mobile Technologies in Teaching

Mobile learning technologies are wide spreading and raising inspiration of students in getting their online courses everywhere and at anytime. Development of internet technology and new mobile phones offers interesting opportunities to complete their bachelors, MSc, and PhD studies and saving time and money, especially for limited income students. This book will encourage our students and teachers to develop their online courses by using mobile learning technology. Institutions will offer online study and online university will be the Multi Media University MMU. Organization and Designing the LMS learning Management System on the Moodle platform will offer forums, discussion panels, video conferences with group sharing. The UNESCO Pedagogical model is the basic standard for the online course. All teachers are invited to create their online courses with formative and summative assessments. All students have the possibility to apply for their quiz assessment and the grades for each sequence and each session is automatically estimated and evaluated. Quality assurance and quality control for the course material is examined and tested before publishing in order to reach the QUAS.
Readability of Twitter Tweets for Second Language Learners

Optimal language acquisition via reading requires the learners to read slightly above their current language skill level. Identifying mate-rial at the right level is the essential role of automatic readability measurement. Short message platforms such as Twitter offer the opportunity for language practice while reading about current topics and engaging in conversation in small doses, and can be filtered according to linguistic criteria to suit the learner. In this research, we explore how readable tweets are for English language learners and which factors contribute to their readability. With participants from six language groups, we collected 14,659 data points, each representing a tweet from a pool of 4100 tweets, and a judgement of perceived readability.Traditional readability measures and features failed on the data-set, but demographic data showed that judgements were largely genuine and reflected reported language skill, which is consistent with other recent studies. We report on the properties of the data set and implications for future research.
Atelier: printer host para impressão 3D embarcado

3D printing gives us excellent prototyping opportunities, but in the field of availablesoftwares the area has flaws that can be improved. In this work, we will explore the issueof software that is into printers servers, get to know them and explore some of their flaws,correcting them in the development of a new application, called Atelier, that aims to solvesome of these flaws. At the end of this reading, the reader should understand basic conceptsof 3D printing, know some of the softwares that is used in the area, and understand howthe Atelier was structured and developed.
Information and Communication Technology, Bank Verification Number and Fraud Prevention in Nigerian Banking Industry

Fraud was cited as Nigeria's biggest problem both in the public and private sector.It is worrisome to note that bank staffs connive with outsiders to perpetrate fraud, even the emergence of ICT recently makes it easy to perpetrate fraud and it was also established that fraud contributed immensely to failure of most banks.Fraud is not peculiar either in magnitude or sophistication to Nigeria, the crash in the multinational companies in the wake of fraud and accounting scandals attests to this fact.Banks nonetheless played a dubious role in the collapse of these corporations.Structured questionnaire was prepared to get the opinions of both workers and bank customers using all the banking industry in Nigeria.This paper endeavors to examine Information Communication Technology, Bank Verification Number and Fraud Prevention in the Banking industry in Nigeria, their responses were critically analyzed and the study concluded that the introduction of Bank Verification Number with the aid of Information communication technology (ICT) is an effective tool that will reduce the incidence of fraud to the barest minimum in Nigeria, the use of ICT should also be encouraged but with strict security and thus the financial institutions and their business partner must continue to seek and develop new solutions to the issue of customer authentication and transaction validation.
On a measure of dependence and its application to ICA

In this article we study a copula-based measure of‎ ‎dependence constructed based on the concept of average quadrant‎ ‎dependence‎. ‎The rank-based estimator of this index and its ‎asymptotic normality is investigated‎. ‎An algorithm for independent ‎component analysis is developed whose contrast function is the‎ ‎proposed dependence coefficient.
Model Analysis of Political Message Processing of Prabowo-Hatta and Jokowi-JK in the Indonesian Presidential Election 2014 in West Jakarta

This research analyzed the political message processing of the voters of Prabowo-Hatta and Jokowi-JK in the Presidential Election 2014 in West Jakarta.The aim was to determine the influence of systematic and heuristic political message processing in the decision of beginner voters.Also, it targeted the political message processing model in the Presidential Election 2014.Quantitative research was used by conducting a survey and heuristic-systematic model was picked as the theory.It was derived into three variables, namely heuristic process variable, systematic process variable, and decision to choose president variable,.The result showed that the decision to vote Prabowo-Hatta was influenced more by systematic than heuristic political messages.On the other hand, the decision to elect Jokowi-JK was influenced more by heuristic than systematic political messages.If Prabowo-Hatta wished to improve their voters, they could strengthen the heuristic political message (emotional message), while for Jokowi / JK, they could strengthen the systematic political message (rational message).
THE IMPLEMENTATION AND DELIVERY OF ENGLISH MATERIALS IN PRIVATE MTS OF ITTAQALLAH AMBON

AbstractThe duty of teachers is how to manage the English teaching and learning process effectively, efficiently, and positively. They really need a good way in implementing and delivering English materials to prove the learning success. The teacher should give more focus on that, so there will be a joyful teaching and learning process. Related to the phenomenon above, the researcher would like to conduct a research about the implementation and delivery of English Material in Private MTs of Ittaqallah Ambon. This research used a qualitative design. One of the type is descriptive data. Moreover, the instrument used here were observation, interview, and documentation. The result of this research showed that in implementing and delivering English materials, teacher used some kinds of teaching technique like using song to attract students’ motivation, using question and answer to stimulate student in speaking, and so on. The teacher often used conversation in every meeting. Therefore, teacher were able to create a successful teaching and learning process. Key terms: Implementation, Delivery, English Material AbstrakTugas guru adalah bagaimana mengelola proses belajar mengajar bahasa Inggris secara efektif, efisien, dan positif. Mereka benar-benar membutuhkan cara yang baik untuk menerapkan dan menyampaikan materi bahasa Inggris sebagai bukti atas keberhasilan belajar. Guru harus lebih fokus pada hal itu, sehingga dapat terciptanya proses belajar mengajar yang menyenangkan. Terkait dengan fenomena di atas, peneliti ingin melakukan penelitian tentang implementasi dan penyampaian Materi Bahasa Inggris di MTs Swasta Ittaqallah Ambon. Penelitian ini menggunakan desain kualitatif. Salah satu jenisnya adalah data deskriptif. Selain itu, instrumen yang digunakan di sini adalah observasi, wawancara, dan dokumentasi. Hasil penelitian ini menunjukkan bahwa dalam mengimplementasikan dan menyampaikan materi bahasa Inggris, guru menggunakan beberapa jenis teknik mengajar seperti menggunakan lagu untuk menarik motivasi siswa, menggunakan pertanyaan dan jawaban untuk merangsang siswa dalam berbicara, dan sebagainya. Guru sering menggunakan percakapan di setiap pertemuan. Oleh karena itu, para guru dapat menciptakan proses belajar mengajar yang sukses.Kata kunci: Implementasi, Penyampaian, Materi Bahasa Inggris
Analysis of Image Featuers for Efficient Classification of Thyroid Diseases

In current scenario thyroid disorders has become common among the general public/ population. The thyroid gland is positioned in the anterior part of the neck region between the vertebrae T1 and C5 and the lobes of this gland are held together by Isthmus. Computer based system a technique is used for intelligent categorization of these diseases and it is very useful in diseases and diagnostics management. The purpose of the study was to classify the various thyroid types by quantifying the histological image features of Ultrasound images. Six image features were characterized in thyroid tissues, which includes, entropy, mean, brightness, hue, energy and standard deviation oh brightness. To analysis the features statistical stepwise selection and multiple discriminate analyses were used. A new approach which classifies these thyroid diseases is done on the basis of segmentation method. To sort these kinds of diseases some of the techniques used are image enhancement processing to avoid noise and gray level compensation for segmentation.
Update Frequency and Background Corpus Selection in Dynamic TF-IDF Models for First Story Detection

First Story Detection (FSD) requires a system to detect the very first story that mentions an event from a stream of stories. Nearest neighbour-based models, using the traditional term vector document representations like TF-IDF, currently achieve the state of the art in FSD. Because of its online nature, a dynamic term vector model that is incrementally updated during the detection process is usually adopted for FSD instead of a static model. However, very little research has investigated the selection of hyper-parameters and the background corpora for a dynamic model. In this paper, we analyse how a dynamic term vector model works for FSD, and investigate the impact of different update frequencies and background corpora on FSD performance. Our results show that dynamic models with high update frequencies outperform static model and dynamic models with low update frequencies; and that the FSD performance of dynamic models does not always increase with higher update frequencies, but instead reaches steady state after some update frequency threshold is reached. In addition, we demonstrate that different background corpora have very limited influence on the dynamic models with high update frequencies in terms of FSD performance.
Advocacy por bibliotecas escolares: a experiência de Jardinópolis/SP

With the enactment of Law No. 12,244/2010, which universalizes libraries in educational institutions, society longed for every school to have, finally, a library: however, with a deadline for implementation expiring in 2020, the public authorities have not complied with the legislation and, unfortunately, more than half of the schools in Brazil still do not have a library so that, among numerous advantages, students become more aware citizens through reading and research. In Jardinopolis, a city in the interior of the state of Sao Paulo, Brazil, since 2017 a group has worked a lot to comply with this legislation: with the legislative and municipal executive branch was formed the Jardinopolis Libraries Commission that acts in advocacy for school libraries. This experience report presents the challenges for the implementation of the legislation, describing the performance of the Commission in this short period (2017-2019) to achieve significant results: participation in a public hearing in the Education Commission of the House of Representatives; holding a conference with a specialist; checking the locations for libraries in schools; renovation and adaptation of libraries; acquisition of furniture, equipment, books and program for library management; inclusion of the position of librarian in public competitions; and hiring a librarian to organize libraries. By 2020 it is expected that the other libraries will be structured (built and/or renovated, with furniture, equipment and collection) and with librarians - so that they are living, active and fundamental libraries in the training of readers, researchers and citizens - and that the Municipal Plan for Books, Reading, Literature and Libraries will be prepared for approval by the City Council and continuity of execution in other administrations. This report hopes to show that, in fact, advocacy is to act planned and strategically to achieve results.