Reviewerly/exHarmony huggingface dataset:
THE METHOD OF GUESSING GAME THROUGH PICTURES AS THE ALTERNATIVE TO MOTIVATE THE STUDENTS TO IMPROVE THEIR SPEAKING SKILL

Abstract. In teaching language, a teacher needs to apply a certain approach, method, and technique or strategy in order to get the good result in teaching. This study is aimed to know how the Guessing Games through Pictures can motivate students to improve their speaking skill in class XI-IPS.1 and XI-IPS.2 in odd semester at 2019/2020. The Methodology of the study is a classroom action research. The method is chosen because the writer is quite sad and concerned to find the fact that the students’ speaking skill is really poor. The data involved four aspects for their speaking skill. They are fluency, pronunciation, vocabulary and grammar. While students communicative competence also covered four aspects. They are the student ability in raising question, ability in giving responses, ability in giving explanation and ability in giving description. Rubric of the students speaking score and the form of the students’ demonstrated competence were used to record their both speaking skill and demonstrated competence. While the student active participation and motivation was scored by using the form of checklist. The score or the data was analyzed from cycle to cycle to make sure whether there was progress or not. The result of the study showed that based on the finding of the data from two cycles there was an increase in almost all aspects in students speaking skill and the students’ activeness in joining the process of learning in class. The data obtained show very significant progress although the result of first stage with 2 cycles is that the students did not achieve the criteria of success because their average score was only 61.32. But the score is much better than the result before implementing the method that is only 41.36. Then the result of stage 2 with 2 cycles has proved that most of the students have achieved the criteria of success for the average score gained by the students was 76.55. Pronunciation was the most difficult aspect in students speaking skill. This was quite logic since aspect of pronunciation in the students speaking skill and aspect of describing in students demonstrated competence were the most difficult and complicated problem faced during the speaking classroom activities.
ORGANIZATION ANALYSIS OF 1000PROJECTS IT TECHNOLOGIES INDIA PVT LTD

The internship is a program that improves the patience of the candidate and where the practical results in an institution address the basic topics of the student for the work experience. The profession is designed for undergraduate students to allow them to interact with real-world applications of the knowledge and skills acquired in theory and practice courses at universities. Because the outside world competes for everyone after graduation, the world's middle tools work to offer students valuable opportunities and welcome freedom in the world of work. The study period is at least three months. Internal students are controlled by members of the special faculty in the profession. However, this project follows the diagnostic guidelines. The student reported the employment report.
Ingarden and the Quandary of Musical Ontology

The papers collected in this volume vividly reflect the strikingly wide range of interests characterizing current research in phenomenology inspired by Roman Ingarden. One of Husserl’s closest and most devoted students, and at the same time one of his earliest and sharpest critics, Ingarden himself explored numerous fields of philosophy in considerable depth. While he remains best known for his groundbreaking work in aesthetics, ontology, and metaphysics, he also dealt extensively in ethics, epistemology, philosophical anthropology, and cognitive science, and his work was characterized throughout by a deep and abiding interest in the sciences and an unwavering respect for painstakingly thorough logical investigation. Issues from all of these areas of study provide the topics dealt with by the authors contributing to this volume. Several authors focus explicitly on historical matters, often casting surprising new light on the development of early phenomenology in general and of Ingarden’s own ‘realist’ phenomenology in particular. Other authors have concentrated instead on specific areas or particular topics of long-standing interest, such as the aesthetic experience, the philosophy of music, and artistic creation, while others have explored the relevance of Ingarden’s ontological and anthropological analyses to current research into everything from the interpretation of texts to the study of technological posthumanization. With contributions from both established experts and young scholars, this collection brings together three generations of researchers who share the same basic philosophical goals and methodology, yet exhibit noticeably distinct styles, making this collection not only accessible and topical but also unusually lively.
Bond Recommendation Based on Heterogeneous Network Embedding

Bond financing has become the main way of external financing. However, few studies have addressed recommendations for financial products to financial institutions. In the case of bonds, financial institutions often need multiple types of data to back up their marketing of bonds to companies. However, it is difficult to collect data and has a large amount of analysis. Therefore, this article based on issuance of historical data, simplifying the model data needed, rely on the company recommended study on the relationship between the issuance of bonds. Bonds contain a variety of heterogeneous characteristics, which contain a wealth of information. Therefore, this paper adopts the recommendation method based on HIN. This paper improves from three aspects. First, a meaningful meta-path is designed and a constraint condition is added to the random walk strategy to make it conform to the application scenario in the financial field. Secondly, the generation strategy is designed to generate isomorphic sequence of node of target type. Thirdly, based on the same industry bond recommendation, this method solves the cold start problem of the company. This paper conducts experiments on real data sets, and experimental results show the effectiveness of this method, which will assist account managers to find business opportunities.
Fluid mechanics of plastic debris clogging the hydraulic structures in Indonesia

&amp;lt;p&amp;gt;The frequent urban floods in Jakarta and Bandung, Indonesia affect the lives and livelihoods of millions of people. Floods cause damage and casualties, while climate change, unchecked development and land subsidence are worsening the problem. One factor contributing to these floods is floating debris clogging the city's drainage structures. A major proportion of floating debris consists of macro plastics which are extremely persistent in the environment. Trash racks that are clogged due to continuous accumulation of plastics in front of them can block the water flow in the river, leading to an increase in upstream water level and causing floods.&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The understanding of transport and accumulation of the macro plastics in the river systems is limited as the field surveys are difficult to perform and the variety of properties of plastic debris is enormous. However, understanding of the origin, fate and pathway of plastic waste is required in order to come up with an optimal solution for plastic collection and prevention of harmful accumulation in front of the hydraulic structures. With this urge in mind field observations will be conducted on the selected river sections in Bandung and Jakarta during the monsoon season in 2020. Field observations will include the measurements of bathymetry, velocity profiles, concentrations and the characterization of floating debris, as well as identifying the accumulation hot spots of floating debris. Furthermore, experimental and numerical modelling will be performed based on the data collected during the field campaign in order to couple different debris classes to a range of riverine situations and understand the differences in their driving mechanisms.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Using a combination of field measurements, experimental modelling and empirical relations we aim to investigate the driving mechanisms of riverine plastic transport and changes in hydraulic properties due to local disturbances of the current. We will therefore link the type of hydraulic structures and the extend of obstructions due to accumulation of plastic debris to the changes in the upstream water level. This will lead to a better understanding of plastic transport in the river systems in Bandung and Jakarta, to formulate design criteria for structures in trash-laden streams and devise ways to pass trash during floods.&amp;lt;/p&amp;gt;
Review on software defect prediction with role of Machine Learning and Feature Selection

Machine Learning approaches are helpful & have well-tried to be helpful in resolution issues & technical problems that lack data. In most cases, the package domain issues may be characterized as a method of learning that depends on the assorted circumstances and changes of the technical issue being addressed in keeping with the principles of machine learning, a prophetic model is made by exploitation machine learning approaches and classified into defective and non-defective modules. Machine learning techniques facilitate developers to retrieve helpful data when the classification of kinds of technical problems being addressed in an exceedingly specific field. This successively permits them to analyze knowledge from totally different views, which may be used because of the formation base of constructive concepts & varied techniques to handle the technical problems. Machine learning techniques are well-tried to be helpful within the detection of package bugs
Code Clone Detection Using Machine Learning Techniques

Code clone refers to code snippets that are copied and pasted with or without modifications. In recent years, traditional approaches for clone detection combine with other domains for better detection of a clone. This paper discusses the systematic literature review of machine learning techniques used in code clone detection. This study provides insights into various tools and techniques developed for clone detection by implementing machine learning approaches and how effectively those tools and techniques to identify clones. The authors perform a systematic literature review on studies selected from popular computer science-related digital online databases from January 2004 to January 2020. The software system and datasets used for analyzing tools and techniques are mentioned. A neural network machine learning technique is primarily used for the identification of the clone. Clone detection based on a program dependency graph must be explored in the future because it carries semantic information of code fragments.
A Study on the Factors Influencing Continuance Intention to Use of Internet Primary Bank Services in China -Focused on the Post Acceptance Model-

Recently as the number of using internet primary banking service has rapidly increased in China, there is the need for a systematic study for it. In this context, this study purports to analyze the structural relationships through post acceptance model among six exogenous factors influencing continuance intention to use of internet primary bank and expectation confirmation, perceived usefulness, satisfaction and continuance intention to use. For this study, a survey is carried out the Chinese consumers who are using internet primary banking service, and total 260 data were collected and analyze the data through AMOS 20.0. The results obtained by actual analysis are as follow. First, self-efficacy, personal innovativeness, convenience and price value all have a positive effect on perceived usefulness, but subjective norm has not a positive effect on perceived usefulness. Second, perceived risk has a negative effect on perceived usefulness, but has not a negative effect on continuance intention to use. Finally, relationships among expectation confirmation, perceived usefulness, satisfaction and continuance intention to use are coincided with the results of post acceptance model. The results of this study are expected to provide a few implications for securing and maintaining the users of internet primary banking providers in China.
Research on Classroom Attendance System Based on Face Recognition

Abstract Deep learning face recognition technology has become one of the most popular technologies. The explosive growth in the use of face recognition has brought a variety of practical needs. Face recognition can be applied to identity authentication, bank security, forensic investigation, face scanning payment, access control system and so on. Existing face recognition methods have achieved remarkable results. With the continuous development of deep learning technology, many depth methods show better accuracy than human recognition. Based on the in-depth study and discussion of the deep learning method, this paper applies the theory to practice, and designs and develops a set of face recognition system for classroom attendance.
Novel Approach using user based Similarity for Recommendation Systems

Recommendations Systems (RS) are widely used by E-commerce and other web sites to recommend items to its users. Collaborating Filtering (CF) is very successful technique used in many web sites for recommendation. Many hybrid techniques with collaborative filtering are proposed in recent years for increasing the performance of recommendation system. In this paper a new user similarity based algorithm is proposed for recommendation system. The algorithm is based upon similarity between the users. The proposed algorithm is applied on a sample data set and its performance is calculated. The value of Mean Absolute Error (MAE) for the proposed algorithm is very reasonable.
Governance of digital data sharing in a cross-organisational railway maintenance context

The purpose of this paper is to study and explore the essential aspects of data governance in eMaintenance that need to be considered such as data sharing and data ownership in a cross-organisation ...
FEATURES OF USE OF ELECTRONIC MEANS OF COMMUNICATION TRAINED BY HIGHER EDUCATION INSTITUTIONS

The relevance and purpose of this study, which consisted in studying the features of using electronic means of communication, the day regime of students of higher educational institutions of Vladivostok, is determined. The preferences of modern young people in the use of various electronic means of communication, the frequency and duration of their operation are studied, the types of activities when working with electronic gadgets, the well-being of respondents are analyzed.
Kombinasi Algoritma Cipher Block Chaining (CBC) dan Mars Pada Penyandian File PDF

In today's competitive environment allows humans to communicate and can exchange data information or files remotely. Therefore it is necessary to protect information. One way that can be done is to exchange information in the form of Portable Document Format (PDF) files. The development of science that is very fast now causes information to be very valuable, therefore protection of information is needed. In this study combining two algorithms between algorithms namely Cipher Block Chaining (CBC) and Mars algorithms. To build this computerized application using Visual Basic 2008 as its supporting application. This application is made for the implementation of encryption and description of text files as secure communication.
On the Application of RFID in ETC of Transportation Industry

RFID; ETC; Transportation; Informatization
Átropos: towards a risk prediction model for software project management

Deep changes have been taking place in business, brought about by increasing technological advancement and a constant digital transformation. Risk event management has become strategic in project management, where uncertainties are inevitable. In this sense, the use of concepts of ubiquitous computing, such as contexts, context histories, and mobile computing can assist in proactive project management. This paper proposes a computational model to the reduction of the probability of project failure through the prediction of risks. The aim of the study is showing a model to assist teams to identify and monitor risks at different points in the life cycle of projects. This research was conducting a case study containing five projects in execution to evaluate the risk recommendations. For history, a database with 153 projects was used for a financial company. The recommendations were evaluated by a project team composed of 9 professionals, obtaining a result of 72% acceptance.
Aplikasi Pembelajaaran Budaya Kota Medan

Cultural knowledge perservation is an important aspect for every nation, the developing internet technology and globalization effect bringing modern culture merging with content that consumed by public, this issue causing ignorance about our nation cultural knowledge. With no real effort to lessen the effect of this ignorance, especially for kids that need new fresh method for delivering the knowledge can be impactful to the culture itself. The conventional direct method for delivering this cultural knowledge is limited and maybe not enough to give them concern to learn. E-learning is a new way of delivering information that can be build to fulfill our need. Fresh way to deliver the information, always updating, specific, and easy access it’s the solution we need to provide. Web Based Cultural Learning Application in Medan can provide a different approach that differ from the way conventional or school teaching, this system also provide a reward in certificates or funds as appreciation to certain participants. FAST (Framework for the Application of System Thinking) methodoloy is used to implement this system while BlackBox method functionality testing resulting a 96% fulfilled rate
Mina: SeMantic vIrtual Assistant for Domain oNtology Based Question-Answering

Aim of this article is to present the methodological nucleus of a custom Question-Answering system named Mina: a software solution with the ability to perform automated search over an ontological representation of localized knowledge domains, in order to extract fine-grained information so as to respond to user queries expressed as natural language questions. First the pipeline adopted by Mina will be presented, focusing on the multi-agent nature of the system Mina exists within, consisting of a distributed and dynamic environment on which several autonomous software (the so called agents) coexist and cooperate to perform specific tasks. Second we will focus on the strategies Mina exploits for the extraction of the correct answer which needs to be provided, starting with the introduction of the NC_Common_Lang library, a collection of linguistic analysis tools, adopted for the extraction of intents and entities contained within user queries; following up we’ll show the ontological representation of a specific knowledge sphere - the telecommunication domain in our case - describing the structured scheme of concepts and relationships according to which the answer retrieval operation is performed, querying the ontology through Description Logic inferences. As a final instance, three different test scenarios are presented with the intent to provide solid evidence about the correct functioning of Mina.
The 2016 Mw 7.8 Kaikoura earthquake and its relationship to tremors.

&amp;lt;p&amp;gt;The relationship between slow earthquake and regular earthquake is fundamental question in seismology. It was already shown that some slow slip event may have led to some megathrust event. In return, passing surface wave from earthquake may also trigger tremors and slow slip event. Documenting these possible triggering effects between slow and fast events is of primary importance to understand them.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;In this study we will focus more particularly on Marlborough region, in a region that was subject to the Mw 7.8 2016 Kaikoura earthquake. Two years before Kaikoura earthquake, we observed a Northeast to Southwest migration of tremors, getting closer to the hypocenter of Kaikoura earthquake. Despite being speculative, this may indicate that a slow slip event is happening shortly before Kaikoura earthquake, which is also supported by a small signal in two GPS stations nearby. After the earthquake, the rate of tremors increased in the region. Studying the relationship between tremors and the Kaikoura earthquake may provide some information on the role of the subduction in the region, as well as provide a new documented interaction of slow earthquakes with a crustal earthquake.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;To detect and locate tremors, we use broadband and shortband velocity traces from the GeoNet network. The traces are bandpass filtered between 2-8Hz, and transform into envelope. Then we apply a classic cross-correlation technic to detect and locate the events. To remove unexpected events (i.e.: earthquakes), we used a criteria base on seismic energy and duration. Finally, we manually check each velocity traces and spectrograms.&amp;lt;/p&amp;gt;
Wordless Syntax and Holarchic Flux in Terrain

Author(s): Smith, Andrew | Advisor(s): Polansky, Larry | Abstract: Central to the comparison between language and music is what Theodor Adorno termed a “wordless syntax,” such that the elements of a work of art might be held in relation to one another, rather than fixed relative to a static hierarchical form. In music, this syntax creates a tension between the expressive, voice-like aspects of melody, and the abstract, syntactical structures of harmony. The use of linguistic material further complicates the musical syntax, as there are multiple competing hierarchical structures at play. As an alternative to the word “hierarchy” in relation to musical form, the composer James Tenney offered “holarchy” as a replacement which sets elements in relation to one another, rather than to a fixed structure. The friction and instability created by multiple syntactical systems and the material nature of the music generates what I call in this dissertation holarchic flux.In addition to a theoretical overview of holarchic flux and its relation to language and music, this essay outlines a novel algorithm for interval and chord rationalization, using Tenney’s metric of harmonic distance. This essay also describes a number of compositions of mine, including a solo voice work How to Get There From Here and ensemble compositions We remember not the word, but the sound of the word, and Terrain, with regard to the concepts of holarchic flux and musical syntax.
Relevance Theory—Basics

After showing how relevance theory is rooted in Grice’s “communicative principles,” the chapter explains the most important dimensions of “classic,” spoken language-oriented relevance theory and introduces the terminology used to label these dimensions, defining them for an audience of non-experts. Examples are used throughout to facilitate readers’ comprehension. The terms and concepts discussed are the Cognitive Principle of Relevance (generally referred to as the First, Cognitive Principle of Relevance) and the Communicative Principle of Relevance (generally referred to as the Second, Communicative Principle of Relevance); the communicative and the informative intention; recognizing and fulfilling intentions; positive cognitive effects/rewards and mental effort; decoding and inferring; the logical form; reference assignment, disambiguation, and enrichment; explicatures and implicatures; strong and weak communication; relevance to an individual; descriptive and interpretive utterances; symptomatic communication; loose talk; babbling and lying; optimal stimuli; relevance and trust; relevance and altruism; and the falsifiability of relevance theory. The chapter ends with a paragraph in which relevance theory’s fundamental tenets are summarized in non-technical terms.