Reviewerly/exHarmony huggingface dataset:
Multi-interest sequence recommendation algorithm based on BERT

Many studies use a fixed vector to represent the user ' s various interest preferences, and this embedding vector does not have enough ability to effectively capture the user ' s different interests, resulting in a lot of user interest representation missing. Therefore, A model based on BERT multi-interest sequence recommendation (BMISREC) is proposed. The model uses BERT for pre-training, and then divides the users historical interaction sequence into t time windows according to the timestamp. By fusing the cavity convolution and forward attention, the local preference within each time window and the global preference between time windows are obtained. Fusion local and global preferences for each window. Multiple different interest embeddings are generated for each user. In the target item preference module, multiple interests learned can adaptively perceive the correlation between different target items through the attention mechanism, and the target item preference changes with the different target items. Then, the deep neural network is used to recommend the fusion of user and target item preferences in a nonlinear manner. Finally, the effectiveness of the model is verified on two real datasets.
Bitcoin and the Blockchain

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<i>AWWA Water Science</i> 2021 Reviewer Recognition

Journal AWWAVolume 113, Issue 10 p. 16-16 Departments AWWA Water Science 2021 Reviewer Recognition First published: 06 December 2021 https://doi.org/10.1002/awwa.1822Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume113, Issue10December 2021Pages 16-16 RelatedInformation
Extending Client-Server API Support for Memory Safe Programming Languages

Google web applications have become an integral component in the day to day life of both organizations and individuals alike. These may be accessed through the graphical user interface (GUI) or through the application programming interface (API). The latter is primarily used by programmers to integrate such services into their applications.Most of the languages used to implement such applications are designed with performance in mind, often neglecting security. However, security has become a major concern for such systems thus increasing demand for memory safe languages. Unfortunately, languages such as D and Rust, known to be memory safe, are lacking support for Google services.To that end, we develop a methodology of integrating Google services with safe programming languages. We show that the D programming language can easily and successfully integrate such services bringing a boost in security and productivity.
Full Penetration—Practical Research on Using Class Music Cloud Drive to Promote Music Appreciation Teaching Activities in Senior High School

Under the background of advocating the combination of modern educational technology and educational teaching. This research takes artistic accomplishment as the guidance, creates a class wide music cloud platform. Integrates modern information technology into multiple dimensions of music teaching and strives to create a high-quality modern music appreciation course. This paper illustrates the summarization of the application of modern educational technology into the class wide music cloud platform from threeperspectives before, during and after class, combining with teaching practice, and puts forward a scheme to make it normalized.
Vocabularies for Publishing Research Data

Research data are essential for the development of science, and one of the issues to be addressed is its organization and representation. Based on these basic concepts of Information Science, we seek to explore the Data Catalog Vocabulary (DCAT) and the vocabularies used by it in the context of research data publication. We assert that the use of metadata vocabularies to represent research data is necessary to improve access, findability, interoperability, and the retrieval of datasets. We verify that DCAT enables the standardization of catalogs and datasets through specific terms for this purpose, presenting itself as an adequate vocabulary to represent the research data.
Systematic Literature Review of the Role of Fuzzy Logic in the Development of Cryptographic and Steganographic Techniques

The rapid technological revolution had an impact on a variety of information security techniques. This will be important because information can be confidential to some entities that communicate with each other. Internet in intelligent technology will be a loophole for cryptanalysts to look for information vulnerabilities. Cryptography is a method of securing data and information which is currently still supported by the development of the method. However, the data and information that are secured will still have vulnerabilities in their delivery. The combination of fuzzy logic techniques with cryptographic techniques has been applied to support the improvement of information security. This study applies a systematic literature review method, to find articles that combine the two fields. The purpose of this study is to see the development of information security techniques with a fuzzy logic approach. As a result, it is found that the development of cryptographic and steganographic techniques that utilize fuzzy logic to help improve information security. In addition, the use of fuzzy logic is also not limited to increasing security. Fuzzy logic also plays a role in selecting the best key and password and issuing random numbers from a Pseudo-Random Number Generator (PRNG).
Forecasting the Cloud Cover for Agronomical function Based on Real Time Valuation

There's an assortment of advancement which has been made with respect to computerized picture preparing and ML calculations which likewise incorporate its different applications. Presently we are living in a period where the issue with respect to agribusiness is a significant issue these days. The serious issue in crop development is we need to deal with the soundness of the plants and yields In this venture we fundamentally centered around characterization of different leafs as various sorts of illnesses. For this we use HSI shading model and bunching calculation. We likewise utilize MATLAB for our task. Less yield, greater expense of creation because of work shortage and compost cost are the significant difficulties prior the farmers. In current situations it's difficult to supply water to the farmlands manually and is consuming more time and manual power. For that We also included an automatic irrigation system to water the plants automatically. Real time monitoring of thedata is there using the cloud platform.
Pockets of Effectiveness (POEs) in Africa

Recently, research on state capacity seeks to understand instances of institutional performances and policy effectiveness in the contexts of a weak state or largely underperforming public sectors like those in Africa, hence the term Pockets of Effectiveness (POEs). This chapter presents an overview of the literature on POEs. It outlines how the research on POEs arose and how POEs are defined and measured. It establishes a lack of knowledge about political incentives to create and sustain POEs and argue for a need to analyse sector-specific incentives and how such incentives could differ in different policy areas according to whether the political costs of creating POEs in a sector would be higher than the benefits. For example, incentives to build effective agencies to regulate and tax multinational companies may be stronger in the extractive natural resource than, e.g., incentives to support a strong agriculture ministry, since the promise of revenues is stronger in the former.
Design-based research as a framework for developing and deploying augmented reality applications and scenarios for intercultural exchange

This paper delves into the underlying phases involved in designing, developing, and deploying Augmented Reality (AR) applications and game-based scenarios that will be implemented during intercultural exchanges among students in two different academic institutions in Sweden and Cyprus. Building on principles of design-based research (Barab &amp; Squire, 2004; Klopfer &amp; Squire, 2008), the aim is to expand the learning ecology by leveraging instructional tools and developing novel scenarios to broaden the trajectories of collaboration, intercultural understanding and communication, and cultural knowledge. The AR applications and scenarios are in the process of being developed as part of the Digital Methods Platform for Arts and Humanities (DiMPAH) project, where game-based activities will foster intercultural collaboration, exploration of cultural heritage sites, intercultural understanding, knowledge, and interaction. Adopting a bottom-up approach, instructors collaborate with a software developer and an extended research team to design pedagogically and culturally potent scenarios embedded in novel technologies that bring the virtual into the physical world.
Player and Game State Classes Part 2

In this chapter, we’ll continue our review of the game’s state classes by looking into the game’s brain, the GameState class. We wrap up our detailed code review with a fairly complete overview of the GameState class. This chapter will take us further into the code, how's it centralized, how it works with the BaseScript class and default initialization methods. You'll gain a solid foundation of experience working with the central point of a complex game.
IMPLEMENTASI PAKET SHINY PADA PEMODELAN MULTISCALE AUTOREGRESSIVE UNTUK DATA HARGA SAHAM BBRI

Stocks are an investment that attract people because they can earn large profits by having claim rights to the company's income and assets so investors have to observe stock price movements in the future to achieve investment goals. One of the statistical methods for time series data modeling is ARIMA. However, modeling assumptions must be fulfilled to use that method so an alternative model is proposed, namely nonparametric regression model, which has no modeling assumptions requirement. In this study, the nonparametric regression multiscale autoregressive (MAR) with two different filter and decomposition level J are compared to choose the best model and forecast it. The data are closing stock price, high stock price and low stock price of BBRI’s stocks that divided into 2 parts, namely in sample data from March 19, 2020 to February 4, 2021 to form a model and out sample data from February 5, 2021 to March 23, 2021 used for evaluation of model performance based on MAPE values. The chosen best model for each stock price are the MAR model with wavelet haar filter and decomposition level 5 for the closing stock price which produces a MAPE value of 1.194%, the MAR model with wavelet haar filter and decomposition level 5 for the high stock price which produces a MAPE value of 1.283%, and the MAR model with a wavelet haar filter and decomposition level 5 for the low stock price which produces a MAPE value of 1.141%, indicating that the models have excellent forecasting capability. In this study, Graphical User Interface (GUI) using R software with the help of shiny package is also built, making data analyzing easier and generating more interactive display output.
A random code generation method based on syntax tree layering model

Aiming at the problem that automatic code generation technology requires a lot of human intervention and cannot produce a lot of source code, a random code generation method based on syntax tree hierarchical model was proposed. In this technique, the syntax elements in the code abstract syntax tree are divided into five layers according to different degrees of refinement by constructing a hierarchical syntax tree model, and the element composition expression is proposed to formally describe the structure of the code at the text level. Based on this approach, an automatic code generation framework is proposed. Supported by a corpus, the framework can generate multiple nested element formation expressions which are finally converted into usable source code by translators. Experiments from the three dimensions of code complexity, control flow and semantic similarity prove that this method can generate a large number of source code randomly, and the generated code has low similarity in control flow diagram and semantics.
Search Engine Strategy Report Case Study University of Dundee

It is normal for any organization to have an online attendance on the Internet. With the continued rise of the internet and the growing importance of websites, it has become increasingly difficult for websites trying to reach potential customers/visitors to achieve visibility. Around 4 million new websites appear online every month in Google search engine platform. As a result of this astonishing rise, it has become more difficult for websites to remain visible among the competing sites without using the optimal available search engine tools.&#x0D; &#x0D; In this study, there is one case study from the United Kingdom that was selected to explore this subject. The research considered how University of Dundee could implement Search Engine Optimization (SEO) and paid listings such as Pay Per Click (PPC) to their website.&#x0D; &#x0D; The recommendations of this research can be used to guide the marketers how to improve the visibility of their website to the related target audience. In turn allowing marketers to more accurately determine their choice of an optimal search engine marketing strategy.
Webometrics Ranking And Regional Universities: Analysing Results Of Bunin Yelets State University

This study analyses the results of Bunin Yelets State University (BYSU) in the Webometrics Ranking of World Universities.The university is among three leading educational institutions in the Lipetsk region but ranks number 3. So, taking into account these results, the research question can be formulated as follows: what can BYSU do to improve positions in Webometrics ranking both on regional and national levels?Many institutions of higher education in different countries acknowledge the important role that various world rankings play nowadays.Webometrics ranking is studied in this work as it ranks not only top universities but also gives a chance to regional and local institutions to present themselves to the world.It analyses more than 30 000 higher educational institutions from different countries.In this work we give recommendations on what can be exactly done in each of key indicator (Visibility, Transparency and Excellence) to rank higher.The results of the study are significant not only for Bunin Yelets State University but also for any regional institution as if implemented, they will help to improve ranking positions and this way the university will become more attractive to potential entrants.As this ranking is carried out twice a year and it is very dynamic, it is necessary to monitor the results on a regular basis and adjust taken steps.
The organization model of socio-cultural practices of youth enrichment programs (as exemplified by a student ball)

The article presents the results of the theoretical analysis of such phenomena as “socio-cultural practices”, “enrichment program”. The research determines their role in students’ personal development. The contemporary social position of a student calls for a new pedagogical approach, and therefore requires innovative or retro-innovative approaches. The author develops a socio-cultural practice of the youth enrichment program merging the ball and the role-play. Thus, the research aim is to develop an organization model of socio-cultural practices of youth enrichment programs (as exemplified by a ball) in order to enable students’ personal development. The study reveals characteristic pedagogical features of the socio-cultural practices of youth enrichment programs. Using the example of a student ball, the article shows how through the study of the history of dance and etiquette, students immerse themselves in the cultural environment, which will contribute to the development of patriotism, diligence and curiosity. Team work on concert acts contributes to the formation and strengthening of student partnership. Discussions about the nature of politeness promote kindness, empathy, honesty, and courtesy in student relationships. Students also develop non-standard thinking. Working together in the youth enrichment program, students learn to be hard-working and creative. Part of the enriching experience of this socio-cultural practice is secured in the non-standard situation that goes beyond students’ usual everyday life. The practical application of the research results makes it possible to use the proposed model to develop socio-cultural practices of youth enrichment programs aimed at students’ personal development.
Analysis Of Accounting Information System In Merchantability Inventory With Fifo And Average Method At Pt. Main Dennis

The author chose PT Dennis Utama as the object of research. PT Dennis Utama is a company that distributes food ingredients, namely rice. Researchers obtained primary data from interviews by the sales department of PT Dennis Utama and secondary data from literature studies using flowchart and descriptive analysis techniques. The analysis used is the FIFO and AVERAGE methods. The aim is to find out the results of the analysis of the merchandise inventory accounting information system at PT Dennis Utama with the FIFO and AVERAGE methods. The results of this study are in the form of flowcharts and descriptive results. Based on the results of the research that PT Dennis Utama uses the FIFO and AVERAGE methods which are quite good, there are only a few shortcomings, namely sometimes there is still a little buildup of goods so that merchandise is damaged and also the company has not implemented a computerized system in its company activities.
Welcome to Upstream: the new space for scholarly community discussion on all things open

Today we are announcing &lt;strong&gt; Upstream &lt;/strong&gt; . And if you’re reading this, you’re already a part of it! Upstream is a community blogging platform designed for Open enthusiasts to discuss… you guessed it: all things Open. It’s a space for the whole community to voice opinions, discuss open approaches to scholarly communication, and showcase research.
CREATIVE WAY AND SCIENTIFIC SCHOOL OF HISTORIAN

Rec. on the book: Clio's sundial. Bachynska Olena Anatoliivna: materials for biobibliogr. Studies in honor of science. Head (on the occasion of the 30th anniversary of scientific activity and the anniversary of his birth.) / ONU named after II Mechnikov, Faculty of History and Philosophy, Dept. history of Ukraine; order .: OS Murashko, TS Kara, VM Poltorak; resp. ed. MO Podrezova; Science. ed .: TG Goncharuk, NM Dianova. - Odessa: Bondarenko MO, 2021. - 255 pp., 1 sheet. portrait, 4 sheets. il. - (Biobibliography of university scientists; issue: Historians).
Verathon GlideScope Go Monitors

Biomedical Safety & Standards: October 15, 2021 - Volume 51 - Issue 18 - p 142 doi: 10.1097/01.BMSAS.0000794692.21551.65
Azure Arc Servers: Using at Scale

When you use Azure Arc for management of your on-premises servers that may not exist in a cloud, you are effectively extending cloud service management essential characteristics to noncloud resources. That means all your servers can share the economy of scale benefits enjoyed by cloud consumers from perspectives of business support, provisioning/configuration, and portability/interoperability. This chapter will help you realize the maximum benefits from these perspectives using Azure Arc in production.
Making HIS More Agile, Relevant and Public Health Friendly: Lessons from Covid-19 in India

Anthony Giddens, the noted sociologist, describes the COVID-19 pandemic as a ‘digidemic,’ emphasizing the inextricable linkages between the pandemic and the digital. As the pandemic has spread globally, countries have adopted different strategies to leverage digital technologies, in their design, development, implementation, and governance to address the pandemic. Some of these strategies have worked well and others have not so. We submitted this paper at the time when India was fighting the first COVID-19 wave and are submitting this revised version as India fights a much tougher second wave. And between these two waves, we have witnessed some flattening of the COVID-19 curve and the onset of a rigorous vaccination drive. This paper aims to try to analyse some experiences of how countries leveraged digital technologies in their information systems response, such as from Sri Lanka, South Korea and anchored in a historical understanding of public Health Information Systems (HIS) in India, build key learnings for strengthening HIS in India, both for pandemic situations and also routine health management. These include i) improving agility, reflecting the ability of the HIS to provide timely information for supporting local action; ii) improving relevance, implying providing required information for supporting the desired action for different stakeholders; and, iii) public friendliness, implying the HIS should help support population health at large in an equitable manner. We argue that these learnings are not only relevant for strengthening the HIS response to pandemic management but also more broadly for strengthening Indian public HIS covering routine systems. These learnings are particularly pertinent in the current ‘digital’ context in India, where large-scale interventions related to the National Digital Health Mission are currently being planned and implemented. For good or bad, the ‘digital’ is inevitable in public health systems globally, and it becomes important for researchers and practitioners to engage with this process of understanding the digital interventions and contribute to strengthening the health systems.
The development and verification of a similar crimes search system in Korean

In this paper, NLP based technique to search past crimes according to crime similarity is introduced. In the case of crimes, criminal method similarity is more important than text similarity. Therefore, we intend to analyze the criminal method similarity by extracting the words from document describing the crime, recognizing the named entity and tagging relational information of the words. Especially, by setting weights on each information, we search for similar crimes that fit a user's intentions. When a new case is received, similar past cases are searched for by analyzing the similarity with words, relational information and their weights. In particular, the search results are evaluated based on NDCG to measure the performance.