Reviewerly/exHarmony huggingface dataset:
RESEARCH ON PERSONALIZED RECOMMENDATION ALGORITHM FUSING TIME AND LOCATION

With development of recommendation systems, they are faced with more and more challenges. In order to relieve problems existing in commodity selection by users of different preferences from different regions, personalized recommendation based on location information has emerged. Nowadays most recommendation systems based on location information neglect the fact that users’ preference will change with time. To solve the above problem, geographic location and time factor of users are effectively combined in this paper, and a personalized recommendation algorithm TLPR combining time and location information is proposed. This algorithm determines the users’ geographic location according to postcode information of the users, uses pyramid quadtree model to distribute users into nodes at each layer in the pyramid, utilizes collaborative filtering algorithm for local recommendation in each node, introduces a time function to regulate time-dependent change of user interests when calculating user similarity at each node and finally realizes a comprehensive recommendation by distributing a weight for recommendation result at each layer in the pyramid quadtree. A comparative experience is carried out for recommendation performance of this algorithm on MovieLens dataset, and experimental results indicate that this algorithm is of better recommendation effect
Handwriting Analysis from Individual Profiling to Forensic Questioned Document Examination

Handwriting Analysis is a scientific study that interprets human behaviour and personality from particularities in a given handwritten sample. Graphology is the scientific name for handwriting study and thus graphologists who study it. It is often mind or brain writing reflected by an individual with different writing features or elements placed on piece of paper. The writing elements considered for analysis are motion, hand pressure, shapes of the different characters and their spatial relationship among them. It is also practised as standard forensic process for the identification of person and authenticity of signature from written documents termed as questioned documents. These questioned documents may involve criminal or civil cases with forgery, fraudulent cheques, indentation, alteration, obliteration and erasures. Grapholgy is a manual process and to avoid cost and fatigue, automated forensic tools have been developed for handwritten documents as well as printed or scanned questioned documents. These forensic tools rely on standard protocols based on scientific methods. The results obtained from forensic Handwriting analysis and questioned document expert testimony are admissible in the court of law.
CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic Masking of Cancer

Interval and large invasive breast cancers, which are associated with worse prognosis than other cancers, are usually detected at a late stage due to false negative assessments of screening mammograms. The missed screening-time detection is commonly caused by the tumor being obscured by its surrounding breast tissues, a phenomenon called masking. To study and benchmark mammographic masking of cancer, in this work we introduce CSAW-M, the largest public mammographic dataset, collected from over 10,000 individuals and annotated with potential masking. In contrast to the previous approaches which measure breast image density as a proxy, our dataset directly provides annotations of masking potential assessments from five specialists. We also trained deep learning models on CSAW-M to estimate the masking level and showed that the estimated masking is significantly more predictive of screening participants diagnosed with interval and large invasive cancers -- without being explicitly trained for these tasks -- than its breast density counterparts.
Autonomous Distributed Networks: The Unfulfilled Libertarian Dream of Breaking Free from Regulations

Decentralisation embodies the libertarian dream of breaking free from the regulatory influence of governments and of bypassing via trustless networks the need for a central authority for decision making. Techno-libertarian and crypto-anarchists maintain that the technology of decentralisation has the power to remove unnecessary (inefficient and parasitic) middle layers of centralised institutions, and realise a Utopian levelled and non-territorial blockchain governance.To evaluate the likelihood that Autonomous Distributed Networks (ADN) will succeed in finding such freedom, three areas relating to regulatory compliance will be considered: Legal personhood; Jurisdiction; and Ex-ante enforcement. Regulation needs to determine physicality and intentionality to exert its influence, and we assess that ADNs will not able to argue convincingly enough to regulators that their decentralised governance cannot be traced back to individuals with intentionality and physicality.Only the emergence of spontaneous networks (self-actualising systems akin to networks of intelligent smart contracts), may fulfill the libertarian dream and break free from the regulatory influence of governments.
H8.9. Western Han Dynasty, Emperor Xuan Di, 73 - 49 BC, AE 5 Zhu

Western Han Dynasty, Emperor Xuan Di, 73 - 49 BCAE Four Zhu, 27mm, 2.92 gramsObverse: WU ZHU, pellet at bottom of Wu, deficient outer rims, no inner rim
4차 산업혁명 디지털변혁의 플랫폼으로서 스마트도시 정책방향 연구 - 싱가포르 스마트국가 전략 심층 분석 -

The purpose of the study is to further analyze the framework of Singapore smart nation initiative and policy measures to prepare for the impact of the fourth industrial revolution. The Fourth Industrial Revolution features hyper-automation and hyper-connectivity, and will greatly expand the scope of works that can be automated. humans and humans, machines and machines, and humans and machines will interact at the same rate as real-time, creating big data. Singapore is responding to the disruptive changes in the fourth industrial revolution and urban problems by pursuing a smart nation initiative. The smart nation initiative is being pushed forward with a desire to create a country that connects everyone and everything anytime, anywhere. It is an attempt to find new economic opportunities by utilizing smart technologies from the fourth industrial revolution to improve the lives of citizens and lead the digital innovation economy. The smart nation initiative has meaning in three ways. First, data-based policy decisions can transform the practice of relying on expert opinion or experience of professional into a more scientific and evidence-based process. Next, open data and data integration facilitate public and private collaboration in policy making and social problem solving, and helps to better develop private creativity. Finally, there should be constant policy efforts to create an innovative ecosystem and develop this into a cultural phenomenon.
AI helping military, athletes prevent injuries via movement patterns

Sparta Science gathers movement patterns from different athletes and pair it with specific injuries to reduce the outcome.
THE EFFECT OF HIGHER ORDER THINKING SKILLS (HOTS) LEARNING MODELS ON THE ABILITY TO WRITE DESCRIPTION THROUGH INTERACTIVE MEDIA IN SD NEGERI 114361 BINANGA DUA LABUHANBATU SELATAN

This type of research is an experiment using pre test and post test control group design. The purpose of this study was to determine the effect of the ability to write descriptions on the Higher Order Thinking Skill (HOTS) Learning Model through interactive media in class VI SD Negeri 114361 Binanga Dua. This research was conducted at SD Negeri 114361 Binaga Dua. Which is located in Binaga Dua District, South Labuhanbatu Regency and its implementation is in the first semester of the 2019/2020 Academic Year. The population in this study were all grade VI students of SD Negeri 114361 Binaga Two academic year 2019/2020, which consisted of 2 classes with a total of 56 students. The sample in this study using purposive sampling. Of the 2 classes that have the same level of mastery, the total sample is selected, where the VIA class is the experimental class with 28 students and the VIB class is the control class with 28 students. Learning Indonesian using the Higher Order Thinking Skills (HOTS) learning model through interactive media can improve the students ability to write descriptions of SD Negeri 114361 Binanga Dua, South Labuhanbatu Regency. There is an average difference in the results of the ability to write descriptions of Indonesian using the HOTS learning model and compared to conventional learning models through interactive media in grade VI SD Negeri 114361 Binanga Dua, South Labuhanbatu Regency It can be concluded that there is an effect of HOTS learning on students' ability to write descriptions through interactive media at SD Negeri 114361 Binanga Dua Labuhanbatu Selatan.
Investigation on the Comparisons of Feature Locations Explain the Difficulty in Discriminating Mirror-Reflected Pairs of Geometrical Figures from Disoriented Identical Pairs

The present experiment investigates whether patterns of shifts of feature locations could affect the same/different decisions of simultaneously presented pairs of geometrical figures. A shift of locations was defined as the angular distance from the location of a feature in one figure to the location of the same feature in another figure. It was hypothesized that the difficulty in discriminating mirror-reflected (or axisymmetric) pairs from disoriented identical pairs was caused by complex shifting patterns inherent in axisymmetric pairs. According to the shifts of the locations of the four structural features, five pair types were prepared. They could be ordered from completely identical to completely different in their shifts: identical 0/4 pairs, non-identical 1/4 pairs, non-identical 2/4 pairs, axisymmetric 2/4 pairs and non-identical 4/4 pairs. The latencies for non-identical pairs decreased with the increase of difference in the shifts of feature locations, indicating that serial, self-terminating comparisons of the shifts were applied to the discrimination of non-identical pairs from identical pairs. However, the longer latencies in axisymmetric 2/4 pairs than in non-identical 2/4 pairs suggested that the difficulty for axisymmetric pairs was not caused by the complex shifting patterns, and the difficulty was not satisfactorily explained by the comparisons of feature locations. The latencies obtained for Nonid pairs decreased with the increase of the difference in the shifts of feature locations, indicating that serial, self-terminating comparisons of the shifts were applied to the discrimination of Nonid pairs from Id pairs.
OntoROPA Deliverable 2. Proposed Design Specification and Approach.

Este trabajo forma parte del proyecto de investigacion: NGI ONTOCHAIN. Grant Agreement No.: 957338. Call: H2020-ICT-2020-1. Topic: ICT-54-2020. Type of action: RIA.
Tax Policy for Stablecoins and DAOs: A Peek Into the Future

Blockchain technology, perhaps the most revolutionary invention of the 21st century, was popularized by introducing the world's first cryptocurrency 'Bitcoin.' However, despite many purported advantages offered by cryptocurrencies, they eluded mass adoption due to their extreme volatility. This flaw led to the ideation of an alternate cryptocurrency, 'stablecoin' which have seen their popularity surge almost 10x within a year. Further, the world has also witnessed the evolution of new business structures in decentralized autonomous organizations ('DAOs') where ownership and management intermingle with the help of smart contracts driven blockchain technology. The profoundness of these new-age concepts could see them become the inherent elements of the global economy soon. This development would also necessitate devising new tax policies to cater to the crypto and blockchain-driven world. So far, not much has been discussed or debated around the income-tax implications for these concepts. With this background, the authors have deep-dived into the concept of stablecoins, their mechanics and explored the possible income tax implications throughout the lifecycle of different stablecoins. The authors have also discussed the concept of DAO along with a real-world case study, examine conceivable income tax offshoots that could arise due to DAO's unique nature, and sign-off with a suggestion on the probable solution.
VIRTUAL ENVIRONMENT FOR THE DEVELOPMENT OF THE SKILLS OF THE STUDENTS IN THE GARMENT INDUSTRY

The objective of the research is to plan a virtual environment and determine how effective it is to develop the skills of female students in the garment industry by providing them with the knowledge and skills of the garment industry, as well as identifying the basic requirements for building virtual learning environments in higher education institutions. The research sample consisted of (15) female students of the Faculty of Home Economics at King Abdul-Aziz University. The research tools were: - A virtual learning environment for developing the skills of female students in the garment industry. - A questionnaire listing the actual needs for building a virtual learning environment. - Achievement test (Pre/ post) to measure the knowledge contained in the virtual environment. - Practical application test (pre/ post) to measure the skills involved in the virtual environment. - Note card to evaluate the results of the students to measure the skills contained in the virtual environment. The research reached the following result: - The virtual environment is successful in achieving its goals and already learning the basics it contains for knowledge and skills. - The research recommended the following: - The need to design alternative virtual learning environments for traditional education. - Planning virtual environments for other courses in the field of clothing and textile
IMPLEMENTASI VIRTUAL TOUR SEDERHANA DALAM PENGENALAN KAMPUS POLITEKNIK PARIWISATA BALI DI MASA PANDEMI COVID-19

The Bali Tourism Polytechnic has an annual agenda for campus introduction activities called the Tour De Campus in a series of Basic Professional Attitude Development activities, but in 2020 these activities cannot be carried out directly on campus. With limited resources and considered important, a Virtual Tour was created to replace these activities. The method used in writing this article is descriptive method from the results of designing activities that are carried out and directly observed. The stages of this descriptive research method are Problem Analysis, Activity Design and Design, and Implementation. Most of the results of the evaluation of the virtual tour activities were satisfied with the activities carried out. This activity can be carried out again in the future by increasing the use of technology to make it more attractive and can be duplicated by schools / campuses / other institutions that have technological limitations.
Trump can't block Twitter users over political disagreements, court rules

The appeals court upheld a May 2018 ruling by a lower court judge who determined that the president’s action violated the First Amendment.
Transformer-IC: The Solution to Information Loss

With the development of information technology, machine translation technologies play a crucial role in cross-language communication. However, there is a problem of information loss in machine translation. In view of the common problem, this paper proposes three Transform-Information Combination (Transformer-IC) models based on information combination method. The models are based on the Transformer and select different middle-layer information to compensate the output through arithmetic mean combination method, linear transformation method and multi-layer information combination method respectively. Experimental results based on Linguistic Data Consortium (LDC) Chinese-to-English corpus and International Workshop on Spoken Language Translation (IWSLT) English-to-German corpus show that the BLEU values of all kinds of Transformer-IC model are higher than that of the reference model, in particular the arithmetic mean combination method improves the BLEU value by 1.9. Compared with the Bert model, the results show that even though the Bert model has a good performance, the Transformer-IC models are better than the Bert model. Transformer-IC models can make full use of the middle-layer information and effectively avoid the problem of information loss.
Reading Narrative Text of the Students’ MAN Nagasaribu

The research goal is to analyze students’ reading narrative text of X MIA-1 at grade X MAN Nagasaribu on Academic Year 2019/2020. This research was mixing method. The qualitative method is in the form of expression sentence while the quantitative method is in the form of table. The data were gained from the informant and students test outcome. Analysis process are in 3 ways; data reduction, data presentation and conclusion. Based on the result of the research, it was known that the students’ ability in reading comprehension of narrative text of MIA-1 at grade X MAN Nagasaribu was categorized into good category with 63 score; it was gotten from the result of students’ means score in doing the test by analysis reading comprehension of narrative text. Then, the hypothesis is “students’ability in reading comprehension on narrative text of MIA-1 at grade X MAN Nagasaribu is good category”. Then  from the result of the hypothesis testing, the researcher found that the hypothesis is rejected. It can be proved from Z count = -6.22Z table 0.3264.
The Solution to the Problem of Curse of Dimensionality in Fuzzy Modelling

As for the solid fuzzy modeling, well-understanding interpretability, highly accuracy of the approximation, less effort, and resources saving are extremely significant features to design a high-performance fuzzy inference model in the coming future.Though the current novel learning algorithms can effectively optimize the system performance, it still can't entirely break the problem of curse of dimensionality (COD).Basically, it is easy to cause the problem of curse of dimensionality as processing high-dimensional data by sophisticated fuzzy learning algorithms, so it is necessary to consider the problem of curse of dimensionality as designing solid fuzzy learning algorithms.
기초학력 진단을 위한 듣기·말하기 영역의 성취기준 개발

This study aims to analyze the validity of achievement standards for developing basic academic ability evaluation items for listening and speaking. First, concepts and definitions related to basic academic ability were explored, basic academic ability related to listening and speaking was determined, and theoretical research for the evaluation direction was conducted. From the theoretical search, beyond reading and writing, it was necessary to include the oral communication skills mainly discussed in the research on basic academic ability. To evaluate spoken communication skills, the nature of listening and speaking skills must be evaluated, and questions that can evaluate mutual communication and empathy skills are required. Based on these theoretical discussions, the 2009, 2011, and 2015 revised South Korean language curricula were analyzed and indicated that the content structure and drafts of the achievement criteria for evaluating basic academic ability in the listening and speaking areas were composed of 1~4 levels. To analyze the validity of the achievement standards, four Delphi surveys and consultations were conducted with a 15-expert panel made up of five elementary school teachers, five secondary teachers, and five professors majoring in Korean language education. Accordingly, achievement standards were constructed. In the future, it is necessary to expand the discussion on the development of achievement standards to analyze student responses through evaluation items that implement achievement standards. To evaluate listening and speaking areas in context, it is necessary to develop computer-based and web-based evaluations.
Topical issues of digitalization in corporate law

The purpose of the study is to analyze the provisions of the novelties of the Russian legislation on digital financial assets and digital currency. The methodological basis was the method of comparative legal analysis, using which the authors identify general patterns and features of the legal status of Russian digital joint-stock companies and decentralized autonomous organizations widely discussed in foreign literature. The results of the study were conclusions about the significant differences between the above organizations. A company issuing digital shares, under Russian law, differs from an ordinary non-public joint stock company by limiting the circulation of digital shares within the framework of a digital platform. Unlike the decentralized autonomous organization, it has legal entity and governing bodies. It was also concluded that there is a significantly greater variety of rights of holders of foreign token-shares in comparison with the rights of shareholders of Russian digital joint stock companies. The novelty of the research is contained in the results of the analysis and doctrinal interpretation of the norms of Russian federal laws concerning digital shares. So, in particular, it was established that such are recognized at the same time as securities and digital rights. Such a legal structure appears to be unnecessarily complex. According to Russian law, digital shares differ from ordinary shares in the form of certification of shareholders “rights, while no differences have been revealed in the scope of shareholders” rights.
Modus Operandi of Sv: Three Generic Rules to Tense and Aspects

As the traditional division of English sentence into Subject(S) and Predicate (VOCA) confuses the global learners, the paper focuses attention on the modus operandi of ultimate nature of Subject Verb (SV) conjugation which is not only singular or plural but also present or past: The paper introduces three Exceptions to modus operandi of SV conjugation: EMO 1. 'I am / I was' (indicative mood) is absolute singular whereas 'You are/You were' (indicative mood) is absolute Plural.EMO 2. The naked 'I' or 'You' in spite of being 1 st and 2 nd person singular exceptionally takes plural form of verb (V1).EMO 3. The absolute 'I am/I was' including Singular Subject behaves differently in subjunctive mood: I wish I were in Germany.It is better He prepare (V1) his speech.Three Generic Rules to finite means of modus operandi of SV are: MO I: All the '-s' ending forms of Finite Verb -Has, is was, does of auxiliary or action verb V-s take singular subject to form Tense and Aspects.MO II: The base form of verb (V1) -have, be, do including action verb such as put, cut, sing etc. -takes plural subject including I and You.MO III.A: The forms of 'Do' reduce the immediate verb to base form (V1) after the nature of Subject.The MO III.B: The present and past forms of modal verb reduce the immediate verb to base form (V1) irrespective of the nature of Subject whether singular or plural.
Why Elon Musk, other CEOs are moving to Texas

As billionaires like Elon Musk move their businesses from states like California and New York to Texas, Ross Perot Jr. touted his state as the place for economic freedom.
Method of Adjacent Distance Array Outperforms Conventional Huffman Codes to Decode Bengali Transliterated Text Swiftly

This research works on high symbolic Bengali text and transforms it into corresponding less symbolic English complying with the transliteration method.The Huffman-based approaches serve to compress retaining the original quality of the data.On the other hand, faster encoding and decoding is the most sophisticated sphere in data compression.We propose an adjacent distance array, a novel data structure based on the Huffman principle for encoding and decoding the character of transliterated text.The encoding and decoding algorithms have been explained for the introduced modus operandi and juxtaposed with conventional Huffman-based algorithms.Our research is outdoing than any regular Huffman-based algorithms, concentrating on the speed of the encoding and decoding manner discovered after estimating all decisions.