Reviewerly/exHarmony huggingface dataset:
Blockchain and Intellectual Property

Undeniably one of the most anticipated and potentially revolutionary technologies since the invention of the internet, blockchain promises to usher in a new era of how we do business and handle information. Although a cryptographically secured chain of digital files was described in work* dated as early as 1991, the invention of blockchain in its current, most popular form, as a distributed ledger for transactions on a network, is credited to the pseudonymous Satoshi Nakamoto, the inventor(s) of Bitcoin, in 2008. Cryptography has been around for centuries, but the cryptocurrency & blockchain community as a whole largely considers Satoshi Nakamoto’s Bitcoin as the first blockchain. Although initially intended as the supporting technology behind a digital form of money, blockchain is beginning to show it’s potential to expand to numerous applications with real world use-cases in preexisting industries.
Effects of Using Online Approach on Speaking Skills Among Malaysian University Students

The role of the university has gone far from just producing students with excellent academic achievements to producing students with tremendous communication skills such as speaking in English to enable them to compete in the global market. However, many university students in Malaysia are still struggling to acquire the English language comprehensively that matches the employers’ expectations. Hence, the importance of spoken English should be emphasized more by creating more interesting platforms and using online approaches such as vlogs to enable the students to use the language more profoundly. Thus, a pilot study was conducted to identify the effect of the vlog approach on the speaking skills of 50 students from a Malaysian Technical University. This study employed a quantitative method. A survey was conducted using a self-developed questionnaire which was distributed through Google Form. The questionnaire comprised 3 sections: student demography, speaking ability, and vlog effects. The data were analyzed using the mean score, standard deviation, Linear regression, and ANOVA. The results revealed that the use of online vlog activities had significantly helped the respondents to improve their speaking skills. Meanwhile, there was no significant difference in the use of vlog activities among the male and female respondents with regard to improving speaking skills in English. Therefore, it was concluded that using online vlog activities was a useful platform to practice and improve speaking skills in English among university students and more of these types of online approaches could be employed to help the university students to enhance confidence to speak in English.
Buffer-based rate adaptation scheme for HTTP video streaming with consistent quality

Recently, HyperText Transfer Protocol (HTTP) based adaptive streaming (HAS) has been proposed as a solution for efficient use of network resources. HAS performs rate adaptation that adjusts the video quality according to the network conditions. The conventional approaches for rate adaptation involve accurately estimating the available bandwidth or exploiting the playback buffer in HAS clients rather than estimating the network bandwidth. In this paper, we present a playback buffer model for rate adaptation and propose a new buffer-based rate adaptation scheme. First, we model the playback buffer as a queueing system that stores video segments. The proposed scheme selects the next video bitrate that minimizes the difference between the current buffer occupancy and the expected value from the playback buffer model. The evaluation results indicated that the proposed scheme achieves higher video quality than conventional algorithms and can cope with various environments without the tuning of the configuration parameters.
Identity-based Searchable Encryption Scheme for Encrypted Email System

In encrypted email system, the public key searchable encryption technology can effectively solve the problem of searching for encrypted emails without decryption. In view of the complex key management problem of public key searchable encryption, an identity-based cryptosystem is introduced in the encrypted mail system. For the offline keyword guessing attack problem of searchable encryption, the method of encrypting keywords and generating trapdoors are adopted at the same time, and the server is designated to search for encrypted emails. At the same time, under the random oracle model, based on the decisional bilinear Diffie-Hellman assumption, the scheme is proved to satisfy the trapdoor and ciphertext indistinguishable security. The numerical experiments show that the scheme has higher computational efficiency than the existing schemes in the keyword trapdoor generation and keyword ciphertext test phase.
A Top_kws Algorithm for Synthetics and Real Datasets

Recommendation Systems (RS) is the most commonly used Information technology in the last decade. RS’s processing behavior can be found on different approaches, such as Decision Making (DM) support and preferences query processing. These systems have been used in many Internet activities, mainly to overcome information overload and for many other purposes. Some of these include e-commerce sites, web page searching, elearning, and Cloud Computing Services. Also, research has been conducted on the use of RS in some sport management Systems. This paper presents a performance evaluation of the Topkws recommendation algorithm, applying on a new RS called Generic Research and Selection System (GRSS) based on the Skyline and the Topk query processing. The conceived algorithm, which used an adapted Multi-criteria Decision Aiding (MCDA) method, was applied to different research eras in this paper, namely the Cloud Computing Services and Sport management System. The algorithm shows to be more and more efficient. Extensive experiments based on correlation study toward both real and synthetic datasets demonstrate the efficiency and scalability of this algorithm compared with other best-known algorithms in this field.
Problems and Countermeasures of Chinese Language and Literature Teaching in Higher Vocational Education

Higher vocational education is an important training ground for talents. The Chinese Language and Literature in higher vocational education is highly concerned by people from all walks of life because of its strong practicality and wide coverage, and the characteristics of its closeness to daily life. However, in fact, there are some urgent problems in the teaching of Chinese Language and Literature in higher vocational education. This article analyzes the problems in the teaching of Chinese Language and Literature in higher vocational education, and proposes solutions with the purpose of providing reference value for the teaching of Chinese Language and Literature in higher vocational education.
THE INFLUENCE OF USING THINK PAIR SHARE TECHNIQUE ON THE STUDENTS IN WRITING RECOUNT TEXTAT SMP TUNAS PELITA BINJAI

This final project is entitled The Effect of Using Think Pair Share Technique on  Students’ Writing Recount Text. It was held in SMP Tunas Pelita Binjai. The objective of the study was to find Think-Pair-Share techniques effect on teaching students'. The population of this study was the eighth-grade students of SMP Tunas Pelita Binjai. The subject of the study was 36 students. There are two classes and each class consist of 18 students.  There were six meetings in the research. One meeting was for the pre-test for each class, four meetings for teaching technique and another one meeting for the post-test for each class. The post-test was held in the last meeting. In the pre-test, the students were asked to write a recount text. The average of the students’ scores by Think-Pair-Share was 63.2, and the post-test was 77,2. The average of the students’ scores by Conventional Class was 62.6 and the post-test was 67,7. The result is 7.36 >5.1 > 2.92. It means that the Think-Pair-Share technique effect on teaching students, writing recount text. The more significant technique for this case is Think-Pair-Share is more significant than the Conventional Method. The study demonstrates that teaching and learning by following the Think-Pair-Share techniques can use in writing recount text. I hope this result is able be used by other teachers to enable students to write recount texts.
Large-Scale Zero-Shot Image Classification from Rich and Diverse Textual Descriptions

We study the impact of using rich and diverse textual descriptions of classes for zero-shot learning (ZSL) on ImageNet. We create a new dataset ImageNet-Wiki that matches each ImageNet class to its corresponding Wikipedia article. We show that merely employing these Wikipedia articles as class descriptions yields much higher ZSL performance than prior works. Even a simple model using this type of auxiliary data outperforms state-of-the-art models that rely on standard features of word embedding encodings of class names. These results highlight the usefulness and importance of textual descriptions for ZSL, as well as the relative importance of auxiliary data type compared to the algorithmic progress. Our experimental results also show that standard zero-shot learning approaches generalize poorly across categories of classes.
Optimalisasi Budaya Literasi Melalui Perpustakaan Sekolah Di Masa Pandemi

This research is the extent to which efforts to optimize literacy culture through school libraries during the Covid-19 pandemic carried out by SD N 1 Pageraji Korwilcam Dindik Cilongok, Banyumas district. Data collection methods used in this study include: interviews, observation, and documentation. The data analysis technique is reduction, data presentation, and drawing conclusions. Programs in an effort to cultivate a literacy culture are compiled periodically, the daily program that has been implemented is by holding non-lesson book reading activities before learning begins, by sharing literacy corners throughout the school environment. The weekly program includes posting pictures / stories of activities on social media and making scheduled visits to the school library. Monthly program by making observation forms to assess students' progress in literacy. Semester program implemented by giving awards to teachers and students. These programs are implemented with a pattern of cooperation from all elements, namely the principal, teachers, education personnel, which will make the school library utilization program implemented properly.
Organizational Security: Implementing a Risk-Reduction-Based Incentivization Model for MFA Adoption

Multi-factor authentication (MFA) is a useful measure for strengthening authentication. Despite its security effectiveness, the adoption of MFA tools remains low. To create more human-centric authentication solutions, we designed and evaluated the efficacy of a risk-reduction-based incentivization model. We examined the real-life use of MFA and developed text-based and video-based risk communication strategies. We implemented our proposed model in a large-scale organization with more than 92; 025 employees, and we collected survey data from 287 participants and interviewed 41 participants. Our goal was to under- stand how MFA can protect corporate servers, employee accounts, and MFA user perceptions. We observed negative perceptions and degraded understandings of MFA technology due to the absence of proper risk and bene t communication in the control group. Meanwhile, the experimental group employees showed positive perceptions of MFA use for their work and personal accounts. Our analysis and implementation strategy are critical for reducing users' risks, creating positive security tool usage experiences, and motivating users to enhance their security practices.
Hybrid Classical-Quantum Computing: Applications to Statistical Mechanics of Neocortical Interactions

Hybrid Classical-Quantum computing has already arrived at several commercial quantum computers, offered to researchers and businesses. Here, application is made to a classical-quantum model of human neocortex, Statistical Mechanics of Neocortical Interactions (SMNI), which has had its applications published in many papers since 1981. However, this project only uses Classical (super-)computers.Since 2015, a path-integral algorithm, PATHINT, used previously to accurately describe several systems in several disciplines, has been generalized from 1 dimension to N dimensions, and from classical to quantum systems, qPATHINT. Published papers have described the use of qPATHINT to neocortical interactions and financial options.The classical space described by SMNI applies nonlinear nonequilibrium multivariate statistical mechanics to synaptic neuronal interactions, while the quantum space described by qPATHINT applies synaptic contributions from Ca2+ waves generated by astrocytes at tripartite neuron-astrocyte-neuron sites.Previous SMNI publications since 2013 have calculated the astrocyte Ca2+ wave synaptic interactions from a closed-form (analytic) expression derived by the author. However, more realistic random shocks to the Ca2+ waves from ions entering and leaving these wave packets should be included using qPATHINT between electroencephalographic (EEG) measurements which decohere the quantum wave packets.This current project extends calculations to multiple scales of interaction between classical events and expectations over the Ca2+ quantum processes to include these random shocks in previous codes used to fit EEG data to the SMNI model, that included the analytic forms for the quantum processes but now replaced by qPATHINT. The author's Adaptive Simulated Annealing (ASA) importance-sampling optimization code is used for fitting the combined classical-quantum system. Gaussian Quadratures is used for numerical calculation of momenta expectations of the astrocyte processes that contribute to SMNI synaptic interactions.This project thereby demonstrates how some hybrid classical-quantum systems may be calculated quite well using only classical (super-)computers.
Библиотека аль-Фараби — современный информационно-культурный центр вуза

The article is devoted to the scientific library of one of the oldest and leading universities in Kazakhstan — the Library of the Al-Farabi Kazakh National University. The article gives a brief insight into the history of creation and development of scientific library and considers its current state with the description of reading-rooms; lending; collections; etc. The author also addresses the issues of automation of library processes and user services; project activities and methodical work of the library
Culturological approach as a conceptual basis for renewing modern higher pedagogical education

The article substantiates the prospects and productivity of the culturological approach, in the context of which culture is considered to be a source of content of higher pedagogical education and as a method of its research and design.Theoretical deduction of the concept of "culture" allows us to focus on the definitions that expand understanding of the essence of culture.The relationship between education and culture, a person and culture is revealed.The application of culturological approach in modern pedagogy is asserted, which provides a view of pedagogical phenomena and processes as cultural phenomena, requires certain ways of their cultural description, interpretation and construction, and focuses on a broad approach to culture and education in the context of general philosophical understanding.Probable changes in the content of pedagogical education in the context of the culturological approach, which cause adjustment of educational technologies, are outlined.At the normative level, it is manifested in the requirements to the content-related component as "containing culture" and "creating culture", of the procedural side, which differs in the integrity, integrative unity of all the components; management of educational and pedagogical activities on the principles of dialogue and mutual respect; educational space as a culturally appropriate, multicultural environment; learning technologies as human-dimensional, innovative, value-oriented.
Algoritma Backpropagation Dalam Melakukan Estimasi Penjualan Beras Pada CV Hariara Pematangsiantar

The need for rice is an important factor in Indonesia where people make rice as a staple food source. Pematangsiantar city has a rice mill and rice sale, one of which is CV Hariara Pematangsiantar. Every year the amount of rice in CV Hariara Pematangsiantar changes. Therefore a prediction is needed to determine the amount of rice sales that will come and this prediction will be useful for the company to increase rice sales in the future. The data to be predicted is data on the amount of rice sales in CV Hariara Pematangsiantar in 2014-2017. The algorithm used to make predictions is a backpropagation neural network. There are five architectural models used in this prediction namely, 2-25-1 has an accuracy rate of 60%, 2-32-1=40%, 2-47-1=80%, 2-50-1=80%, and 2-52-1=60%. The best architecture of the five models is 2-47-1 with an accuracy of 80% and MSE of 7,46434101. So this architectural model is good enough to predict the amount of rice sales in CV Hariara
Feature Analysis of Measurement Information from Passive Sonar Array Used for Bearing Fusion

As input to the multi-base sonar detection system, the measurement information obtained by the passive array detection is affected by the underwater acoustic environment and the characteristics of the platform. This paper analyzes the characteristics of measurement information acquired by passive sonar array from the perspective of bearing fusion, so that the analysis provides a technical basis for analyzing the performance of fusion system for target positioning.
L’Urbano. Origine e fortuna di una novella pseudo-boccaccesca

The paper pursues an investigation on an apocryphal text still underinvestigated by scholars: the Urbano, falsely attributed to Boccaccio. The first part focuses on its fortune in the Boccaccio’s canon, from the first edition of the Vocabolario della Crusca to the Boccaccio’s complete works edited in the Ottocento; furthermore, are pointed out its connections with the Libellus de Constantino Magno eiusque matre Helena, the main source of the plot, and with other genealogical medieval tales, such as the Libro imperiale and the Manfredo. The second part focuses on the manuscript tradition of the text, in order to demonstrate as its circulation in Quattrocento’s miscellaneous manuscripts of rhetorical texts in the vernacular, containing several texts by Boccaccio, has probably influenced the spurious attribution.
Pembangunan Sistem Customer Relationship Management (CRM) Guna Meningkatkan Customer Equity (CE) Pada PT. AJAS

T. AJAS (Alif Jaya Abadi Sarana) is a service company engaged in the field of land transportation that provides a wide range of tourism buses of the highest quality. Transportation or transportation is a very important field of activity in the life of the Indonesian people. At present most of the activities in the company are still using the old system, the company cannot make a continuous relationship to customers. This raises problems because customers cannot help marketing the company's products, customer loyalty is not managed by the company and finally there is a decline in income from the company due to intense competition with the emergence of similar companies that have recently been established with good quality and customer relations the good one. Customer Relationship Management (CRM) is a strategy used by an organization or company to be able to create and maintain a good and sustainable relationship with customers and reduce the possibility of customers moving to other companies. This research aims to build a Customer Relationship Management (CRM) website based on PT. Alif Jaya Abadi Sarana in order to establish relationships and improve services to customers and produce Customer Equity (CE). The development of this research system uses the waterfall model. This research will produce a website-based Customer Relationship Management (CRM) system which will then produce Customer Equity (CE), with the development of Customer Relationship Management (CRM) expected by PT. Alif Jaya Abadi Sarana can establish an ongoing relationship, gain customer loyalty, can improve its services to customers and is no less competitive with other tourism transport providers.
Sistem Informasi Adminstrasi Perpustakaan Berbasis Web Di SMA Negeri 2 Wonogiri

Library administration system in an educational institution is a very important thing to support the completeness of reporting to superiors in this casethe principal, while in library administration here requires accuracy so that no data is lost or recording errors. The creation of an online-based administration in educational institutionsin this case is SMA Negeri 2 Wonogiri. Online libbrary administration records using barcodes built for SMA Negeri 2 Wonogiri can only be accessedby librarians and registered library members. Web-Based Library Administration Information System In SMA Negeri 2 Wonogiri is useful to improve the library service process. This system uses the PHP 7 programming language by referring to the concept of CRUD and HTML, CSS, Javascript and various plugins such as MySQLi, JQuery, Sublime Text Editorand Web Browser. Where everything was combined using the prototyping method. In terms of security, programming algorithms are also very concerned with validating or checking using black box testing and questionnaire testinng. In this black box test states that all systems are declared valid, while the results of testing the system questionnaire has been able to meet the needs of users, which is shown on the results of the average percentage of questionnaires which is 76,56%.
Metadata enabled contextual sensor fusion for unmanned aerial system-based explosive hazard detection

Numerous real-world applications require the intelligent combining of disparate information streams from sensors to create a more complete and enhanced observation in support of underlying tasks like classification, regression, or decision making. An often overlooked and underappreciated part of fusion is context. Herein, we focus on two contextual fusion challenges, incomplete (limited knowledge) models and metadata. Examples of metadata available to unmanned aerial systems (UAS) include time of day, platform/sensor position, etc., all of which have a potentially drastic impact on sensor measurements and subsequently our decisions derived from them. Additionally, incomplete models limit machine learning, specifically under-sampling of training data. To address these challenges, we investigate contextually adaptive online Choquet integration. First, we cluster and partition the training metadata. Second, a single machine learning model is trained per partition. Third, a Choquet integral is learned for the combination of these models per partition. Fourth, at test/run time we compute the degree of typicality of a new sample to our known contexts. Fifth, our trained integrals are decomposed into a bag of underlying aggregation operators and a new contextually relevant operator is imputed using a combination of the metadata clustering and observation statistics of the integral variables. This process enables machine learning model selection, ensemble fusion, and metadata outlier detection, with subsequent mitigation strategy identification or decision suppression. The above ideas are demonstrated on explosive hazard detection using surrogate data simulated by the Unreal Engine. In particular, the Unreal Engine is used because it provides us with flexibility to explore the proposed ideas across a range of diverse and controlled experiments. Our preliminary results show improved performance for fusion in different contexts and a sensitivity analysis is performed with respect to metadata degradation.