Reviewerly/exHarmony huggingface dataset:
Closed Association Rules

In this paper we present a new basis for association rules called Closed Association Rules (ℛ).This basis contains all valid association rules that can be generated from frequent closed itemsets.ℛ is a lossless representation of all association rules.Regarding the number of rules, our basis is between all association rules (ℛ) and minimal non-redundant association rules (ℳ ℛ), filling a gap between them.The new basis provides a framework for some other bases and we show that ℳ ℛ is a subset of ℛ.Our experiments show that ℛ is a good alternative for all association rules.The number of generated rules can be much less, and beside frequent closed itemsets nothing else is required.
Estimation of the trabecular structure of alveolar bone before implant planning in orthodontic treated patients by using fractal analysis method

Background:The aim of this study was to assess the trabecular bone pattern changes of orthodontically treated patients before orthodontic treatment (T0), immediately after (T1) and 6 months after (T2) the treatment by using fractal dimension (FD) analysis in order to guide implant applications. Methods:Totally 32 orthodontic patients who had one missing tooth were included in the study. Patients were treated to align the teeth and to create a dimensionally appropriate space for implant placement. Panoramic radiographs were taken with standard protocols at the time periods of before (T0), immediately after (T1) and 6 months after (T2) treatment. FD analysis was performed using Image J 1.3 software with the box-counting method. Results:The highest FD value measured before treatment (T0=1.47±0.14). Mean FD values of T2 was found statistically significantly higher (1.32±0.14) than T1 (1.19±0.15) (p&amp;lt;0.001). Conclusions:It is suggested not to plan implant surgery immediately after the end of orthodontic treatment because trabecular bone gains more complex nature over time. FD analysis is a simple and cost-effective tool for examining bone structure in panoramic radiographs.
The Empirical Study on the Effect of Population Aging on Transmission of Monetary Policy

This paper did not only analyze theoretically the effect of population aging on transmission of monetary policy, but also used panel VAR empirical model to study and compare the effect of population aging on credit channel with the provincial data from year 2004 to year 2015.It concluded that from the national view, population aging had significant effect on credit channel, which was quite volatile and continuous. Whatâ€™s more, population aging has long term effect on GDP and CPI, negative, negative effect first and positive second respectively. From the partial view, eastern part turned to be positive and continuous in spite of negative temporarily and initially. However, central and western part was negative initially and becoming less and less. The effect on GDP was negative for all the parts, and the effect on CPI was positive first and negative second, but lasted for a long time only for eastern part.
Joint Extraction of Symptoms and Details in Chinese Medical Records Using the Overlapping Mechanism

The description of the patient's symptoms and details in the Chinese electronic medical record is an important basis for assisting clinicians to make diagnosis and treatment decisions in the clinical decision system. Therefore, it is greatly significant to extract symptoms and details. We propose an end-to-end overlapping joint extraction method to complete the entity identification and relationship extraction of symptoms and details in the medical record. By overlapping annotation mechanism, this method uses word vector features, word segmentation features and medical dictionary features in the embedding layer of BiLSTM-CRF to implement the overlapped relationship extraction between entity identification and entity of symptom and detail in one step. The experimental results show that our method achieves 80% in F1 score on the real outpatient medical record test set, which outperforms the existed state-of-the-art methods.
Minting Mechanisms for (PoS) Blockchains

Permissionless blockchain systems, such as Bitcoin, rely on users using their computational power to solve a puzzle in order to achieve a consensus. To incentivise users inmaintaining the system, newly minted coins are assigned to the user who solves this puzzle.A hardware race that has hence ensued among the users, has had a detrimental impact onthe environment, with enormous energy consumption and increased global carbon footprint.On the other hand, proof of stake systems incentivise coin hoarding as players maximisetheir utility by holding their stakes. As a result, existing cryptocurrencies do not mimic theday-to-day usability of a fiat currency, but are rather regarded as crypto-assets or investmentvectors.In this work we initiate the study of minting mechanisms in cryptocurrencies as a primitive on its own right, and as a solution to prevent coin hoarding we propose a novel mintingmechanism based on waiting-time first-price auctions. Our main technical tool is a protocol to run an auction over any blockchain. Moreover, our protocol is the first to securelyimplement an auction without requiring a semi-trusted party, i.e., where every miner in thenetwork is a potential bidder. Our approach is generically applicable and we show that itis incentive-compatible with the underlying blockchain, i.e., the best strategy for a player isto behave honestly. Our proof-of-concept implementation shows that our system is efficientand scales to tens of thousands of bidders.
4488 Neural Network of the Cognitive Model of Reading

OBJECTIVES/GOALS: A particularly debilitating consequence of stroke is alexia, an acquired impairment in reading. Cognitive models aim to characterize how information is processed based on behavioral data. If we can concurrently characterize how neural networks process that information, we can enhance the models to reflect the neuronal interactions that drive them. METHODS/STUDY POPULATION: There will be 10 unimpaired adult readers. Two functional localizer tasks, deigned to consistently activate robust language areas, identify the regions of interest that process the cognitive reading functions (orthography, phonology, semantics). Another task, designed for this experiment, analyses the reading-related functional-connectivity between these areas by presenting words classified along the attributes of frequency, concreteness, and regularity, which utilize specific cognitive routes, and a visual control. Connectivity is analyzed during word reading overall vs. a control condition to determine overall reading-related connectivity, and while reading words that have high vs. low attribute values, to determine if cognitive processing routes bias the neural reading network connectivity. RESULTS/ANTICIPATED RESULTS: The localizer analysis is expected to result in the activation of canonical reading areas. The degree of functional connectivity observed between these regions is expected to depend on the degree to which each cognitive route is utilized to read a given word. After orthographic, phonologic, and semantic areas have been identified, the connectivity analysis should show that there is high correlation between all three types of areas during reading compared to the control condition. Then the frequency, regularity, and concreteness of the words being read should alter the reliance on the pathways between these area types. This would support the hypothesized pattern of connectivity as predicted by the cognitive reading routes. Otherwise, it will show how the neural reading network differs from the cognitive model. DISCUSSION/SIGNIFICANCE OF IMPACT: The results will determine the relationship between the cognitive reading model and the neural reading network. Cognitive models show what processes occur in the brain, but neural networks show how these processes occur. By relating these components, we obtain a more complete view of reading in the brain, which can inform future alexia treatments.
Using Mindomo to Engage Students in Higher-Order Thinking

Mindomo (www.mindomo.com) is a web-based tool designed to aid in the creation of digital concept maps. This article provides an overview of concept mapping and Mindomo followed by reflections on implementing Mindomo in a digital technology course for pre-service teachers. A SWOT analysis of Mindomo is presented in concept map format, with the goals being to provide information helpful to anyone considering using Mindomo and to encourage instructors to consider how concept mapping might facilitate higher-order thinking in their classes.
ULTRASONOGRAPHIC AND CYTOLOGICAL EVALUATION OF 499 THYROID NODULES

OBJECTIVE:The goal of the study is to verify ultrasound and cytological findings in thyroid fine needle aspiration (FNA) punctures.METHODS: Retrospective cross-sectional study in which 499 thyroid nodules were evaluated by ultrasound and cytological examination in a period from October 2018 to August 2019.FNA was performed in patients of both sexes, in a private diagnostic center in São Paulo.RESULTS: Out of the 499 nodules punctured in 334 patients, 44 (8.8%) were male and 455 (91.2%) female.In considering the total amount of patients, 31 (9.3%) were men and 303 (90.7%) women, aged between 13 and 88.Three (0.6%) hemorrhagic samples were obtained; therefore punctures were performed again in such patients.The malignancy prevalence was 4.8% and the frequency of benign nodules in this was 92.4%.CONCLUSION: The analyses show that the ultrasound and cytological profile of the thyroid nodules are in accordance with the current literature, which can assist in the audit of the results in the diagnostic imaging centers.
Research on University Computer Teaching Model Based on MOOC+SPOC

With the further development of information technology, the traditional teaching model which is mainly characterized by face-to-face teaching in class, has brought out new demands in terms of new teaching technology, new teaching thinking and teaching result."MOOC + SPOC" is a new mode which integrated online and offline learning, the traditional classroom, organic combination of network class and interaction class, promote student-centered teaching and learning, and effectively reflect the teacher to student learning and the guidance of thinking, increasing the interaction between students and teachers, improving students' autonomous learning ability and learning initiative [1].
The Effect Of Using Small Group Discussion On The Second Grade Students’ Speaking Skill

Speaking is one of the main purposes of language learning in that it is an ability to transfer some ideas to other people clearly and correctly. In other words, he or she can communicate his or her ideas well to other people. As speaking dominates all activities in the English subject, the language components, namely pronunciation, fluency and vocabulary should also be learnt to support the language skills. Based on the English teacher interview result that small group discussion have never been used by the teachers, speaking skill on the eighth grade students of junior high school of SMP Darul Muhajirin, so it was necessary to conduct a research in this school. The research design was quasi experimental. It began from conducting homogeneity test, deciding the experimental class and the control class, giving activities to the control class using the common technique and material usually applied by the English teacher and treatments to the experimental class that was using small group discussion in teaching speaking, then giving the same post-test to both classes, and the last analyzing the results of the post-test by using t-test. The result of this research The analysis of the post test results showed that there was a significant effect of using small group discussion that of speaking skill the experimental class got higher mean score than the control class (65, 1&gt;57, 5) of the students’ speaking skill. Then, the result of data analysis using SPSS showed that the t-test value (2-tailed) 0.000, was less than 0.05.is expected to provide useful information for the English teacher to use interesting materials, that is, small group discussion in the English teaching learning process, especially in teaching speaking, since the small group discussion have never been used at SMPN Darul Muhajirin.
Unaccusativity and Perfect Auxiliary Selection in Romance: Theory and an Observational Study in Second Language Acquisition

The aim of this paper is to investigate the properties associated with unaccusativity and the selection of auxiliary verbs (AUX) in the perfect tenses of the modern Romance languages. The modern languages that have a split-AUX system (such as Italian and French) operate under a principle in which some intransitive verbs select the equivalent of to be as their AUX in the compound past tenses, and others select the equivalent of to have. In research I have conducted over the past decade in the Italian language classroom, Bentley and Eythórsson’s auxiliary selection hierarchy (ASH) is best suited to explain how L2 Italian learners acquire the ability to make the appropriate surface AUX selection.
Self-Driving Vehicle Sensors from One-Seated Experimental to Road-legal Vehicle

Our university is determined to research and educate self-driving and autonomous technology. These two field require different necessities and attitude. In his paper we would like to summarize the migration from a road-legal vehicle to a self-developed, one-seated vehicle. We will describe the challenges of the migration process and of course how to overcome these challenges. The current paper also proposes recommendations and use-cases regarding self-driving vehicle sensory system.
Analysis of Financing Problems of New Energy Industry in Liaoning Province

As a renewable resource, the development of new energy has an important role in protecting the environment and promoting economic development. The development of new energy industry in Liaoning Province has certain geographical and resource advantages. However, as an emerging industry, due to its large investment and high debt, its competitiveness is weak, which has caused many obstacles in industrial financing, which have restricted the smooth development of the new energy industry in Liaoning Province. Therefore, we need to analyze the financial support of the new energy industry in Liaoning Province, and apply the right medicine in order to make the new energy industry in Liaoning Province continue to grow and develop and become a new economic development engine in Liaoning Province in market competition.
Challenges Porting Blockchain Library to OpenCL

This article discusses the complexities of porting a performance blockchain library, encompassing core cryptographic operations, to the OpenCL framework. We present the solution we developed as a general guideline and we highlight the limitations of the OpenCL framework. Given the potential use case of multiple platforms and devices, the effective portability of the library for end users is presented. Finally, a comparison with a CUDA variant of the library is discussed, both in terms of code complexity, runtime and performance.
The Extremist Internet Discourse: Legal, Scientific and Practical Aspects of Forensic Linguistic Analysis

The paper presents a discussion of legal, scientific, and practical aspects of forensic linguistic analysis of the Internet extremist discourse as practiced at present and might be improved in the future. The author states that present experts’ practice in Russian legislation is based on limited knowledge of Internet linguistics properties and is conducted mostly as an empirical art in which the forensic linguist examiner acquires skill through extensive linguistic training and forensic experience. Courtroom cases in which forensic linguists have offered their written reports and testimony on extremist materials distributed on the Internet have got negative critical assessment in mass-media and scientific linguistic society. The judicial responses have varied with rulings, both admitting and rejecting extremist linguistic evidence. To some extent, the various legal viewpoints have reflected various linguistic methodical perspectives regarding the extremist diagnostic criteria to be expected in the examined Internet discourse represented under various forensic and communicative conditions. The necessity to use the unified linguistic criteria of resolving Internet text ambiguity is substantiated in the paper. The author concludes that methodological uncertainties concerning the contemporary expert practice of detecting linguistic signs of extremist statements are so significant as requiting that the forensic applications be approached with great caution.
Determination of Frame for Tsunami Capsule Passengers Based on the Results of Stress and Strain using Octahedral Discretization

The prototype research for the safety capsule began with the tsunami that struck Indonesia as an archipelago. Also, the United States, Japan, and China have made successful tsunami capsules in patent RIGHTS with the code US4297757 (America) spherical and in China, there are about 5 shapes that have been made CN102267549B (mushroom forms); CN203698627U (cup shape); CN204750532U (bunker form); CN204916125U (cylindrical capsule form); CN208198781U (ovoid shape). After examining existing patents and prototypes, the researchers made a prototype in the shape of a ball with a diameter of 2 meters. The material uses Stainless steel outer diameter of 25.4mm and an inner diameter of 23.9mm. The simulation uses octahedral discretion by mesh adjusting to the structure. The load uses pressure in the outer surface area, a person load of 4 with a weight of 60kg each, and for fixed constraints on the inside of spherical geometry. The purpose of the simulation is to predict the location of critical areas that experience the greatest stress and strain. The concept is applied based on the number of amplifiers given in the form of a square as a reference, the concept of 1 amplifier is given a vertical direction, the concept of 2 vertical and horizontal directions, the concept of 3 diagonal crosswise, the concept of 4 diagonal crosses and 1 amplifier of the vertical direction, the concept of 5 diagonal crosses and the direction horizontal vertical, the concept of 6 square in the middle with vertical and horizontal amplifiers, the concept of 7 square in the middle with the diagonal crossing amplifier, the concept of 8 triangles in the middle with the bottom diagonal in the middle and one horizontal direction, the concept of 9 triangles in the middle with crossed diagonals and added a directional line horizontally, the concept of 10 hexagons with the edges is given an amplifier up to the frame. The results of the simulation selection, concept 3, and Concept 6 have a strain of 0.00725mm, while Concept 6 has principal stress smaller than Concept 3 which is 3.05x106N / m with an estimated local error of 2.13 x 10-6 Joules. So that Concept 6 is set to be used as an amplifier of prototype tsunami safety capsules.
Pembentukan Graf Berdasarkan Benda Langit (Bintang) dengan Selisih Nilai MagnitudeTertentu di OIF UMSU

A graph is a representation of a state that can be defined as an ordered set consisting of vertices and arcs. A graph can be formed based on the representation of the relationship of objects by declaring objects as vertices and relationships between objects as arcs. If the celestial body is connected with certain rules, then the celestial body can be formed a graph.The relationship of celestial bodies to each other in this paper is determined by the difference in the level of light (Mv) read magnitude. Difference Mv this paper i.e: , , dan .The purpose of this research is to form a new graph based on luminous celestial bodies (stars).This type of research is field research (field research) with descriptive qualitative approach type, the object used in the study is a star.First determine the amount of light levels of celestial bodies conducted on observations on 9 and 11 July 2019 at OIF UMSU using certain tools along with IRIS software.After the observations are obtained, a connectedness analysis is performed based on the difference in certain magnitudes so that certain graphs based on celestial bodies are obtained.
POSTECH Submission on Duolingo Shared Task

This paper describes POSTECH's submission to the 2020 Duolingo Shared Task on Simultaneous Translation And Paraphrase for Langauge Education (STAPLE) for the English-Korean language pair.In this paper, we propose a transfer learning based simultaneous translation model by extending BART.We pretrained BART with Korean Wikipedia and a Korean news dataset, and fine-tuned it with an additional web-crawled parallel corpus and the 2020 Duolingo official training dataset.In our experiments on the 2020 Duolingo test dataset, our submission achieves 0.312 in weighted macro F1 score, and ranks second among the submitted En-Ko systems.
Metrics to Understand Future Maintenance Effort Required of a Complicated Source Code

An enduring engineering problem is the creation of a source code too complicated for humans to review and understand. A consequence of a complicated source code is that it requires more effort to be implemented and maintained. Exacerbating the problem is a lack of a proper understanding of exactly what the words “complicated” and “complex” mean, as the definitions of these words are often misconstrued. Some systems are indeed inherently complex, but this does not mean they must be complicated. In our research, several open- source projects were evaluated using software metrics to map the complicatedness of a source code with the ongoing effort to sustain the project. The results of our research show that a relationship exists between a complicated source code and the maintenance effort. It is clear that adhering to proper coding practices and avoiding a complicated code can result in a much more manageable future maintenance effort.
Improving the Performance of Pupils in Reading Using Word and Sentence Cards among Basic Four Pupils at Abuakwa R/C Primary, Eastern Region

ABSTRACT The purpose of the study was to determine the extent to which the pupils at the Abuakwa R/C Primary School can improve upon their reading ability. It was also to find out whether they developed the interest in studying of the English Language. The target sample of the study was made up of forty – nine (49) pupils that made up a whole class. Also, the target sample of the study was post – test, observation and interview as instruments to collect data. The pre-test was conducted before the intervention to reveal the problem while post-test was administered after the intervention to find out the effectiveness of the intervention. The data was collected following a weekly planned research activity. It was collected for the tabulated and converted into sample percentages. This was used for the analysis and discussions of the research question. In conclusion, the effectiveness of the intervention has really helped to improve upon pupils reading ability. Keywords: observation, interview, intervention, interest, improve
BLOWFISH ENCRYPTION FOR CLOUD COMPUTING A KEY DISTRIBUTION FRAMWORK

Nowadays, the Internet is growing rapidly towards three unique course, Size is matter, throughput or force and mainly programming difficultly. With the fast evolution of web, we have to ensure the security of data and its related information from unapproved usage. Cryptography is the key part of data security. Protection user privacy or their credit details is the main focus of the rapidly growing web world. Encryption of the data involves multiple key generation and transmission of values from client to server and vice versa. Blowfish converts keys into bits and divide into subkeys. Iteration of key generation is vast so breaking it will be complex for third party peoples. Thus results in data protection at extreme level. This paper mostly concentrates on symmetric encryption calculation using Blowfish algorithm.