Reviewerly/exHarmony huggingface dataset:
Synthetic Waste Generator for Classification Training

As the population increases so does the waste that is generated. Manually recycling waste is expensive and slow. Computer Vision (CV) solutions aim to make this less expensive and faster. Lots of data of this waste (thousands of images) is needed to train these CV solutions. This project, called Synthetic Waste Generator (SWaG) can create synthetic waste data through the use of Blender and Python. Moreover, this project makes a contribution to the current state of research by having developed an automated synthetic data generation pipeline. This synthetic data can be used to train CV solutions to enable automated recycling procedures. With the help of adjustable parameters, the synthetic data can be customized, such that different unique images of waste can be created deterministically based on a seed. Furthermore, SWaG is fully portable as it has been containerized using Docker which makes it extremely easy to obtain even faster results by running SWaG on an NVIDIA GPU enabled system as a single local container, on the cloud as a farm or incorporate it in a container-orchestration system such as Kubernetes. SWaG also crushes 3D models, to mimic real waste using soft body dynamics. The pipeline has also been suited to automatically generate COCO datasets by using masking and image segmentation techniques. SWaG can also add textures and different colors to the waste objects in the synthetically created image. Furthermore, with SWaG different conveyor belt setups at recycling plants can be simulated with the help of variable camera heights, conveyor belts, backgrounds and lighting conditions. SWaG is currently deployable and is being used and built upon by our client. After conducting empirical research experiments with SWaG, it is noted that its performance speed is linear as the amount of objects that are in a given scene increases. In fact, with between roughly 40 and 80 objects SWaG performs sub-linearly. This is an important performance criteria as images of trash on the conveyor belt often have tonnes of objects pilled up on top of one another.
Migration recollections - memory lines at the border

Memory implies both continuity and change, the stable frame of location, but also the process of change and dislocation. Such transition is particularly relevant for approaches in migration memory - they require understanding of context and meaning for identity in bearing the distance between locations (origin and host societies) and in securing purpose of destination in order to achieve continuity, in two dimensions, identity of origin and identity of becoming (or new belonging) which need to be simultaneously accommodated and integrated. By agency of migrants and conditions and regulations of access into receiving societies, these dimensions are markedly connected at the border. Borders are found along the path of displacement, transition and orientation. Whether reception policies include cultural awareness or civic education approaches, strict vetting or a whole range inbetween, the transition needs to be documented and governed also from the perspective of the migrant. A memory which is uprooted from its initial location or migrating to a new environment needs aids to support coherence for identity. The way in which migration and its transition process are realized and managed leaves a defining imprint on the mode the migrants represent and commit the change to memory; both the image of the transition and the idea of a future destination (aspirations, ideals) are mapped into memory next to the embedded initial location. Society of origin and host society are both locations of memory; at the moment of transition, the former lies with self experience, the latter with a projected dimension of self. Borders are sites of memory, but of memories divided: polity memory and migrant memory. The role of any integration policy is to allow and make them meet purposefully, and not to widen the gap between them.
PENINGKATAN KETERAMPILAN BAHASA INGGRIS MELALUI APLIKASI KAMUS DIGITAL BERGAMBAR “ALTERNATIVE DICTIONARY” DI SD NEGERI 008 GALANG BATAM

English is a foreign language that is taught in schools, including in elementary schools. As a foreign language, teaching English in elementary schools is certainly not easy especially in schools that are far from the city center and have limited teachers, especially English teachers. It can be solved through the use of information technology that is the use of pictorial digital dictionary application. This application is designed to make the learning process more interesting and enjoyable. This application can be used via laptops and mobile phones. So, this application is not only intended for teachers but also students. Students can use it at home via their own mobile phones. This application is expected to be used as a solution in improving students’ English skill at SD Negeri 008 Galang. This application can motivate and increase students’ learning interest which will certainly have an impact on improving students’ language skill.
The Place of Feedback in the Pedagogical System of the Lesson

The article deals with the place of feedback in the pedagogical system of the lesson. We made analysis of the phenomenon of psychological feedback in the context of its use in the educational process, the place of feedback in the pedagogical system of the lesson, the main feedback function.Feedback, as the main component of the management process, was investigated in the relation to the processes occurring in educational systems - pedagogical and psychological. We focused on the analysis of the information model of individual memory proposed by Richard Atkinson. The emergence of information and communication technology tools in the educational process makes it possible to use the postulates developed in control theory in the man-machine systems and, at the same time, creates new psychological and pedagogical problems requiring the search for new solutions. Undoubtedly, feedback remains an important factor in the learning process. We made the conclusion that the multifunctional feedback, its interaction with such psychological phenomena as communication barriers, communicative influence, levels and directions of information transfer make it an essential element of the entire lesson communication system with the use of information and communication technology tools.
Customer experience: branding with emotional text mining

As the volume of electronic and online information increases day by day, quick and accurate access to important and popular sources is one of the concerns of using this very large information source. The presentation of tools that can be analyzed by examining the texts has led to the formation of this field in artificial intelligence, which is known as text mining. In this paper, the application of part for customer experience in branding is examined. A non-monitoring approach aimed at customer experience that is based on a bottom-up approach to classifying non-structured data to identify representations and emotions of social media users, we show a preview on Instagram that comments about a The brand of electronics are examined in terms of product priorities, representation, and emotions.
Integrating Geophysical Attributes with New Cuckoo Search Machine-Learning Algorithm to Estimate Silver Grade Values–Case Study: Zarshouran Gold Mine

The exploration methods are divided into the direct and indirect categories. Among these, the indirect geophysical methods are more time- and cost-effective compared with the direct methods. The target of the geophysical investigations is to obtain an accurate image from the underground features. The Induced polarization (IP) is one of the common methods used for metal sulfide ore detection. Since metal ores are scattered in the host rock in the Zarshouran mine area, IP is considered as a major exploration method. Parallel to IP, the resistivity data gathering and processing are done to get a more accurate interpretation. In this work, we try to integrate the IP/RS geophysical attributes with borehole grade analyses and geological information using the cuckoo search machine-learning algorithm in order to estimate the silver grade values. The results obtained show that it is possible to estimate the grade values from the geophysical data accurately, especially in the areas without drilling data. This reduces the costs and time of the exploration and ore reserves estimation. Comparing the results of the intelligent inversion with the numerical methods, as the major tools to invert the geophysical data to the ore model, demonstrate a superior correlation between the results.
국가 관련 연상이 수출 제품 실패에 미치는 효과: 이론적 모형을 중심으로

Although many products have been exporting to overseas markets, not all products are successfully marketed in export marketplaces. Thus, exporters should understand what factors affect product mortality in export marketplaces. The purpose of the current study is to build a theoretical model explicating how buyers’ country associations affect export product mortality.Building principally on literature regarding the country-of-origin effect, the present study conceptualized buyers’ affective country association and normative country association. In addition, based on Cox’s proportional hazard model, this study developed a theoretical model explaining and predicting how buyers’ affective and normative country associations affect export product mortality.First, buyers’ unfavorable affective country associations positively affected export-product mortality. Second, buyers’ unfavorably normative country associations positively moderated the relationship between buyers’ favorably affective country associations and export-product mortality.The results of the current study proposed that, considering buyers’ affective and normative country associations, exporters develop marketing strategies. In addition, understanding buyers’ affective and normative country associations is a profitable mechanism in export marketplaces.
Non-Destructive Zero-Knowledge Proofs on Quantum States, and Multi-Party Generation of Authorized Hidden GHZ States

Due to the special no-cloning principle, quantum states appear to be very useful in cryptography. But this very same property also has drawbacks: when receiving a quantum state, it is nearly impossible for the receiver to efficiently check non-trivial properties on that state without destroying it. In this work, we initiate the study of Non-Destructive Zero-Knowledge Proofs on Quantum States. Our method binds a quantum state to a classical encryption of that quantum state. That way, the receiver can obtain guarantees on the quantum state by asking to the sender to prove properties directly on the classical encryption. This method is therefore non-destructive, and it is possible to verify a very large class of properties. For instance, we can force the sender to send different categories of states depending on whether they know a classical password or not. Moreover, we can also provide guarantees to the sender: for example, we can ensure that the receiver will never learn whether the sender knows the password or not. We also extend this method to the multi-party setting. We show how it can prove useful to distribute a GHZ state between different parties, in such a way that only parties knowing a secret can be part of this GHZ. Moreover, the identity of the parties that are part of the GHZ remains hidden to any malicious party. A direct application would be to allow a server to create a secret sharing of a qubit between unknown parties, authorized for example by a third party Certification Authority. Finally, we provide simpler blind versions of the protocols that could prove useful in Anonymous Transmission or Quantum Onion Routing, and we explicit a cryptographic function required in our protocols based on the Learning With Errors hardness problem.
LibGuides: Reference Manager and Citation Generator: Home

This guide includes content adapted with permission from the University Library System, University of Pittsburgh.
Fragmentation in the Bitcoin Market: Evidence From Multiple Coexisting Order Books

We explore the consolidated order book of five major exchanges to investigate how fragmentation affects the Bitcoin market. Using intraday snapshots of the order book data, we find that the Bitcoin market is quite fragmented, wherein the exchange liquidity measure is significantly negative, even for small transactions. Our results suggest that consolidation tools, such as smart order routers, can be effective in reducing the cost of trading, and that further development of the Bitcoin market’s trading and regulation is needed.
Network in Disaggregated Datacenters.

Nowadays, datacenters lean on a computer-centric approach based on monolithic servers which include all necessary hardware resources (mainly CPU, RAM, network and disks) to run applications. Such an architecture comes with two main limitations: (1) difficulty to achieve full resource utilization and (2) coarse granularity for hardware maintenance. Recently, many works investigated a resource-centric approach called disaggregated architecture where the datacenter is composed of self-content resource boards interconnected using fast interconnection technologies, each resource board including instances of one resource type. The resource-centric architecture allows each resource to be managed (maintenance, allocation) independently. LegoOS is the first work which studied the implications of disaggregation on the operating system, proposing to disaggregate the operating system itself. They demonstrated the suitability of this approach, considering mainly CPU and RAM resources. However, they didn't study the implication of disaggregation on network resources. We reproduced a LegoOS infrastructure and extended it to support disaggregated networking. We show that networking can be disaggregated following the same principles, and that classical networking optimizations such as DMA, DDIO or loopback can be reproduced in such an environment. Our evaluations show the viability of the approach and the potential of future disaggregated infrastructures.
Prototype for Card-less Electronic Automated Teller Machine using Internet of Things

Automated Teller Machine (ATM’s) are devices used for the personal and business financial transactions or banking functions. It can be used without the help of the banking official. The ATM’s have become popular among the public for their availability and the user friendliness. Nowadays ATMs are available in many locations such as college, supermarket, gas station, banking center, airport, work location, hotels, and entertainment establishment, having a consistent high volume of user traffic. The existing ATM machine uses the ATM cards for the user access to authenticate their account in order to use the services of the ATM. There are several problems which includes card expiring, cost of maintenance, accessing customer account by others, waiting time before the issuance of the new card, card damaging, card cloning, shoulder surfing attack, skimming attack, eavesdropping attack, guessing attack. This paper presents the prototype for the card-less electronic Automated Teller Machine without the use of the card. The proposed system uses the face recognizer using the HAAR algorithm. Using the help IoT the unauthorized users could be tracked and if there is any mismatch with the authorized users the mail and SMS could be send to the registered users.
LEARNING TO WRITE TEXT OF PERSUATION USING THE CIRCUIT LEARNING METHOD IN VIII MIDDLE SCHOOL STUDENTS

Writing is an important activity for students to hone memory and perfect in learning activities and as a measurement tool for students who are creative in learning to write, especially persuasion texts. The purpose of this study 1). The activity of writing persuasive texts of the students before and after using the Circuit Learning method. 2) Knowing the student's performance when completing assignments to measure the ability to write persuasion texts. The author uses a population of class VIII junior high school students with a sample of 27 students. The research design used was a quasi-experimental method and the data technique used a pre-test and a final test. Tests in the form of tests of knowledge and skills test to write persuasion texts before and after using the Circuit Learning method. Based on the analysis and discussion, are results of 1) Asymp.Sig. (2-tailed) has a value of 0.000 <0.05, so it can be accepted that it is accepted, meaning that is a difference between the results of writing the persuasive text for the pretest and posttest so that it can state that there is an effect of using the Circuit Learning method on learning outcomes in writing persuasive texts. 2) an increase in student performance improvement on the results written persuasion text, evidenced by the difficulty aspect in the pretest, namely the content suitability aspect of 17.14% (difficult), the language principle aspect of 21.43% (difficult), and the proportion at posttest, namely content suitability aspects 75.71% (easy) and aspects of language principles 34.54% (moderate).
Planning for Proactive Assistance in Environments with Partial Observability.

This paper addresses the problem of synthesizing the behavior of an AI agent that provides proactive task assistance to a human in settings like factory floors where they may coexist in a common environment. Unlike in the case of requested assistance, the human may not be expecting proactive assistance and hence it is crucial for the agent to ensure that the human is aware of how the assistance affects her task. This becomes harder when there is a possibility that the human may neither have full knowledge of the AI agent's capabilities nor have full observability of its activities. Therefore, our \textit{proactive assistant} is guided by the following three principles: \textbf{(1)} its activity decreases the human's cost towards her goal; \textbf{(2)} the human is able to recognize the potential reduction in her cost; \textbf{(3)} its activity optimizes the human's overall cost (time/resources) of achieving her goal. Through empirical evaluation and user studies, we demonstrate the usefulness of our approach.
PENGARUH MODEL PEMBELAJARAN COOPERATIVE INTEGRATED READING AND COMPOSITION TERHADAP KETERAMPILAN MEMBACA PEMAHAMAN SISWA SEKOLAH DASAR

This study aims to determine the effect of the Cooperative Integrated Reading and Composition learning model on students' reading comprehension skills. This research uses a quantitative approach with the type of research Quasy Experiment Design. Experimental research is research that is intended to determine whether or not there is a result of something imposed on the subject under investigation. In other words, experimental research tries to examine whether there is a causal relationship. The trick is to compare one or more experimental groups that were treated with one or more control groups who did not receive treatment. The data collection instrument was in the form of test questions that were distributed to all research samples. While the research data analysis technique used descriptive analysis, the prerequisite test used the analysis of normality and homogeneity. Meanwhile, to answer the hypothesis results using the Two-Way ANOVA test. The results of the two-way ANOVA test analysis show that a significance value of 0.000 ˂ 0.05 is obtained, it can be concluded that learning using the Cooperative Integrated Reading and Composition model has a significant effect on students' reading comprehension skills.
CORRECTION: THE "SOURCE OF LAW" CATEGORY

At the end of the twentieth century and the beginning of the twenty-first century, processes of globalization led to significant changes in law and its sources. New sources of law - constitutions and international treaties, have an increasingly important role in law. The relative weight of the right created at the supranational level is growing. International law integrates into national legal systems and takes precedence over national law. At the same time, written law is cloned into the digital space, creating the ultimate accessibility from anywhere in the globe. It can be assumed that in the future the digitization of the sources of law will lead to a significant reduction of their national and cultural specificities and limitations. The original article was published on 31 August 2018.  http://ijasos.ocerintjournals.org/en/pub/issue/38943/455676
Hybrid quantum-classical optimization for financial index tracking

Tracking a financial index boils down to replicating its trajectory of returns for a well-defined time span by investing in a weighted subset of the securities included in the benchmark. Picking the optimal combination of assets becomes a challenging NP-hard problem even for moderately large indices consisting of dozens or hundreds of assets, thereby requiring heuristic methods to find approximate solutions. Hybrid quantum-classical optimization with variational gate-based quantum circuits arises as a plausible method to improve performance of current schemes. In this work we introduce a heuristic pruning algorithm to find weighted combinations of assets subject to cardinality constraints. We further consider different strategies to respect such constraints and compare the performance of relevant quantum ans\{a}tze and classical optimizers through numerical simulations.
I neologismi e l’inglese nell’Unione europea

This article points out some aspects of the fundamental role that neologisms play in the process of enrichement, updating and transformation of a language. Every word, like any human being, has its own life cycle (by borning, dying, uniting or dividing). It is the necessary condition enabling a language to go on living in a changing society. The European languages, because of their coexistence in an extensive territory, are the idioms that are being enriched the most. In particular the English language has influenced in the last few years the other European languages. Through the analysis of Italian-on-line dictionaries it appears that about the half of new words are of English origin. These new words remain unchanged, “raw”, and enter directly into the Italian vocabulary with no rule of spelling and pronunciation. Moreover this article also aims at opening a debate on the future of English within the framework of the European multilinguisme after the Brexit.
Penggunaan Pendekatan Komunikatif Dalam Meningkatkan Kemampuan Berbicara Bahasa Inggris Siswa Sekolah Menengah Kejuruan (SMK)

Speaking skills is skills that must be mastered by students but speaking learning always becomes a scary thing for students while the most important thing in the speaking class itself is creating an active and communicative classroom atmosphere.  One of approach that is able to create a communicative atmosphere and is able to stimulate students' courage to speak is Communicative Language Teaching or known as the Communicative Approach. This study aims to describe the planning, implementation, evaluation, obstacles, solutions and results of the use of communicative approaches. The research method uses a descriptive method with a qualitative approach. The data in this study were obtained through document studies, interviews and observations.. The results showed that (1) Planning for the use of a communicative approach was formulated in an integrated manner to the characteristics of the school, students, analyzing SK-KD, compiling lesson plans and determining competencies (2) Implementation, students conduct speaking activities at any time such as interviews, demonstrations, presentations, discussion (3) Evaluation of learning using authentic assessment that  focuses more on the activities of students during the learning process takes place (4) obstacles faced are limitations on the ability of students (5) the solution is the teacher advises students to keep practicing and watching films in English subtittle to increase vocabulary (6) the results achieved are students become fluent.