Reviewerly/exHarmony huggingface dataset:
Scientific and pedagogical activity of G.S. Merkin’s

The study aims at identifying the main issues that determine the direction of scientific and pedagogical activity of the honored teacher of the Russian Federation, Doctor of Education, Professor, author of books on literary reading for grades 1–4 and literature for grades 5–9, Gennady Samuylovich Merkin. While gaining this goal, we have carried out the theoretical analysis of G.S. Merkin’s works on the issue of co-creation within the in-class and extracurricular activities on literature, the methodological apparatus of textbooks on literary reading and literature, and have come to the following conclusions. The key issue of G.S. Merkin’s scientific and pedagogical activity is the co-creation as one of the shortest ways to achieve the goal of developing and improving the intellectual abilities of students and as a complex systemic phenomenon in which the interaction of the writer and the reader-pupil is carried out. Realization of the ideas of co-creation in the process of developing the concept of a modern textbook on literature con- tributes to the implementation of an active, cultural, practice-oriented and personality-oriented approach to the study of literature, implying not the assimilation of a certain amount of knowledge by students, but the development of their personality, communication and creative abilities. The innovative approach to teaching literature in the co-creation mode provides for the set- ting of non-traditional tasks and the choice of a non-standard philological and methodological solution, which involves establishing links where they are not obvious. Professionalism of the literature teacher is the most important condition for the successful implementation of the ideas of co-creation within the in-class and extracurricular activities.
The nature of kimberlite melts, rocks and magmas

The primary compositions of kimberlite melts and magmas are elusive due to contamination by xenolithic material, strong alteration, notably by serpentisation, and, in the case of pyroclastic rocks, chemical differentiation due to sorting by eruptive processes.We show that textures and mineralogical attributes of kimberlite dykes and sills indicate that igneous calcite is replaced by serpentine, producing an increase in Si and Mg and decrease in Ca and CO 2 .Reconstructed kimberlite magma compositions, taking into account alteration, are shifted towards silica-poor compositions transitional to carbonatite, indicating overestimation of Si and Mg contents in previous assessments.Experimental data at near-surface pressures with excess CO 2 and H 2 O show that Si and Mg-rich compositions have high liquidus temperatures inconsistent with estimated kimberlite magma temperatures (1030-1170°C).Experiments with more carbonate-rich and silica-poor reconstructed compositions have much lower liquidus temperatures, as long as water is present.We suggest that initial kimberlite melts from the asthenosphere are hydrous and carbonate-rich; compositions that are consistent with other suggestions about the nature of deep asthenospheric melts.They may have their silica content increased by orthopyroxene and olivine assimilation, exsolve some CO 2 during ascent and carry a significant amount of water.Olivine crystallization, as a consequence of decompression, degassing and cooling during ascent decreases the silica content of the melt phase.The rapid loss of this water as magmas approach the surface can cause extensive crystallization and explosive volcanism.Subtle changes in magma composition across the carbonate-silicate transition can have profound effects on the liquidus temperature, which is exaggerated during near surface degassing.For the same initial volatile content, small changes in silica content can determine the fate of a magma, between non-explosive intrusions of volatile rich dykes and sills or a catastrophic explosive eruption as magma freezes and there is runaway degassing.Many kimberlites, including some that have previously been interpreted as hypabyssal, have a pyroclastic origin.Significant changes in mineral proportions and chemical composition can arise by fluidisation in volcanic vents with concentration of olivine and selective removal of groundmass (melt) components.Finally almost all kimberlites have their bulk silica and magnesia contents increased by post-emplacement serpentinization.
A Hierarchical Attention Model for Social Contextual Image Recommendation

Picture based easy going affiliations are among the most obvious individual to singular correspondence benefits beginning late. With monster pictures moved each day, understanding clients' inclinations on client made pictures and causing suggestions to have progressed toward transforming into an essential need. Indeed, different half and half models have been proposed to join different sorts of side data (e.g., picture visual delineation, social affiliation) and client thing chronicled lead for improving suggestion execution. Regardless, as a result of the astonishing qualities of the client conveyed pictures in social picture composes, the past assessments neglect to get the astounding perspectives that impact clients' propensities in a bound together structure. Additionally, by a long shot the majority of these half breed models depended upon predefined stacks in combining various sorts of data, which guideline talking acknowledged flawed proposition execution. To this end, in this paper, we build up a powerful idea model for social critical picture proposition. In spite of essential torpid client enthusiasm appearing in the standard framework factorization based proposition, we see three key focuses (i.e., move history, social impact, in addition, proprietor venerate) that effect every client's dormant inclinations, where each perspective outlines a canny factor from the eccentric relationship among clients and pictures. Beginning there forward, we plan a powerful idea coordinate that ordinarily reflects the diverse levelled relationship (fragments in each point level, and the viewpoint measurement) of clients' lethargic central focuses with the perceived key perspectives. In particular, by taking installing's from forefront huge learning models that are only fitted for every sort of information, the dynamic idea structure could comprehend how to go to distinctively to essentially substance. At long last, extensive starter results on genuine world datasets surely show the intensity of our proposed model.
The Correlation among Gender, Language Learning Strategies, and English Achievement of English Department Students of Tarbiyah Faculty at UIN Alauddin Makassar

This was a correlational research with two predictors and one criterion. 103 students (both successful and unsuccessful male and female students) were involved in this research. The data obtained through SILL by Oxford (1990) and students’ English achievement based on gender were analyzed by using descriptive statistics and inferential statistics through SPSS program version 20.0. The findings, first of all showed that there was a significant correlation between gender and English achievement where r = 0.924 and p = 0.000 = 0.05. Second, there was not any significant correlation between LLSs and English achievement where r = 0.202 and p = 0.083 &amp;lt; = 0.05. Third, there was not any significant correlation between successful gender and their LLSs where r = 0.222 and p = 0.056 &amp;gt; = 0.05 but there was a significant correlation between unsuccessful gender and their LLSs where r = - 0.376 and p = 0.049 &amp;lt; = 0.05. Fourth, There was a significant correlation between gender and LLSs used simultaneously with English achievement where r = 0.264 and p = 0.04 &amp;lt; = 0.05.
Sociolinguistic Relations and Return Migration: Italian in the Republic of Moldova

AbstractThe Republic of Moldova has a very high emigration rate, with Italy being the second preferred destination country for circular and permanent migration, after the Russian Federation. As a consequence, Italian has become part of the ‘linguistic relations’ on a national scale in the Republic of Moldova. Contact phenomena involving Italian are today subject to normative and purist discourses on language use in Moldova. Moreover, Italian has become accessible even to immobile speakers who have never lived in Italy. This chapter offers an overview of the different roles of Italian in Moldova as the language of a historical minority, as a foreign language learned at school and the university, as a language of migration, and as an important resource on the labor market. It also presents an overview of lexical, syntactic and prosodic examples of language contact and “translanguaging” in the capital Chişinău. On a more general and theoretical level, the practice of Italian in Moldova points to a pressing but under-researched topic in the sociolinguistics of migration: linguistic relations in spaces of emigration and return migration are sociolinguistically affected by mobility.
Exploiting the Redundancy in ICESat-2 Geolocated Photon Data (ATL03), a Multiscale Data Reduction Approach

Earth and Space Science Open Archive PosterOpen AccessYou are viewing the latest version by default [v1]Exploiting the Redundancy in ICESat-2 Geolocated Photon Data (ATL03), a Multiscale Data Reduction ApproachAuthorsPrashantShekhariDBeataCsathoiDToniSchenkAbaniPatraSee all authors Prashant ShekhariDCorresponding Author• Submitting AuthorTufts UniversityiDhttps://orcid.org/0000-0003-2353-6740view email addressThe email was not providedcopy email addressBeata CsathoiDUniversity at BuffaloiDhttps://orcid.org/0000-0001-7768-4998view email addressThe email was not providedcopy email addressToni SchenkUniversity at Buffaloview email addressThe email was not providedcopy email addressAbani PatraTufts Universityview email addressThe email was not providedcopy email address
IPTEKS PENGHITUNGAN HARGA TRANSFER DAN HARGA JUAL PADA RUMAH MAKAN KHOPINOS

Determination of transfer prices and selling prices is not only a matter of large companies. This problem can occur in a type of Small and medium enterprise. But sometimes managers from small and medium businesses do not realize that in their business there is a transfer price transaction that can affect the selling price of the product to external consumers and subsequently affect operating profit. In order to overcome this problem, you can use the transfer pricing method and selling price so that you get the right transfer price and selling price for a business. The results of the transfer price calculation using the cost method and the selling price using the full cost method, the results of the transfer of semi-finished products from the preparation business unit are Rp. 4,900 / unit, while the selling price of the settlement division to external consumers is Rp. 11,020 / unit .Keywords : transfer price, selling price, cost based transfer price, market based transfer price, negotiated transfer price.
Managing Transactions

In Chapter 5, you were introduced, or possibly reintroduced, to the basic concepts of transactions and their significance within relational database solutions. Most importantly, you gained an understanding of the transactional feature support that the R2DBC specification provides.
Temporal imaging system based on four-wave mixing interaction which does not require synchronization to a pump wave

Temporal imaging system have enabled imaging of ultrafast phenomena with high temporal resolution different ultrafast phenomena. Specifically, time-lenses which are based on nonlinear interaction of four-wave mixing have a wide field of view together with high F-number. These offers temporal imaging system with large magnifications in the time-domain. However, when considering a time-lens based on four-wave mixing interaction, the input signal must be synchronized to the pump wave which makes it challenging for measuring any ultrafast phenomena with unknown time-of-arrival. Therefore, we developed a temporal imaging system which does not require this synchronization between a signal and a pump wave. This is done by generating time-lenses with high repetition-rate. Therefore, any input signal will interact with one of the time-lenses and it will be imaged in time with high probability. In this proceeding, we demonstrate how our temporal scheme is able to measure with high temporal resolution the start-up dynamics of pulsation in a fiber laser.
Multiple Processor Scheduling with Optimum Execution Time and Processor Utilization Based on the SOSA

The multiple processor scheduling problem characterizes that different processor comprises of an arrangement of jobs or tasks designate proficient utilizing a limited number of processors. Herein development a multi-objective algorithm utilizing Symbiotic Organisms Search algorithm (SOSA) for scheduling an arrangement of reliant on tasks on obtainable resources in a multiple processor environment which minimizes the execution time and maximize the processor utilization. SOSA is a nature-inspired meta-heuristic algorithm utilized to compare with other meta-heuristic algorithms such as Water cycle algorithm (WCA), Genetic algorithm based Bacteria foraging optimization (GBF), Bacteria Foraging Optimization (BFO) and Genetic Algorithm (GA). SOSA reproduces the advantageous association methodologies received by life forms to survive and engender in the biological-community (ecosystem). Based on experimental results, we find the execution time as well as processor utilization using SOSA technique and then compare with the other mentioned algorithms. Acquired outcomes affirm the incredible execution of the SOSA in solving the multiple processor scheduling problems.
Improvement of Information Technology Career Path by using Apriori and Ontology on Mobile Application

In Thailand, the joblessness rate is continually expanding for new graduates. But information technology careers are nevertheless popular in business in this digital age. Finding a way to support students to know the career direction that is suitable for them and is ready before going out for a job is therefore very valuable. However, most students do not know which occupation is best for them and are concern about the need to educate themselves and build up information that is suitable for their current career. This paper presents the Thai mobile application for predicting a student's career based on subject results and guidance of training courses for information technology career path using the Apriori algorithm and ontology technique with the longest matching approach in the process of Thai word segmentation. The developed mobile application was tested in black box by experts and evaluated the satisfaction by users. The result shows that the developed mobile application was the highest effective with the high consensus for the evaluation of user satisfaction.
But Isn't It All Available for Free on the Web?

SUMMARY. The University of Massachusetts Amherst has experienced a period of significant growth in its electronic resources during a period of financial and staffing cuts. Leslie Horner Button described how the library has managed during this difficult time. She compared the costs of providing electronic access to those of providing print materials including cost of content and cost of staff support. Button also examined the similarities and differences in the workflow for providing access to print and electronic journals. [Article copies available for a fee from The Haworth Document Delivery Service: 1-800-HAWORTH. E-mail address: &lt;docdelivery@haworthpress.com&gt; Website: &lt;https://www.HaworthPress.com&gt;]
Recommender System for Topic Articles Based on Forum Trending using Multilayer Perceptron

SehatQ is a portal and application that helps manage personal and family health. One of SehatQ's services is providing information and directories in the form of articles. To improve relations with web visitors, SehatQ also provides services in the form of discussion forums. The forum actually contains a variety of topics and changes very quickly over time, so to identify a topic from a collection of forums is very difficult and time-consuming if done manually by humans. But unfortunately the SehatQ editorial team has limited time and human resources in sorting out information sourced from the SehatQ forum to draw conclusions as a topic in the article. This research will offer a solution in analyzing Topic modeling using text mining with the Multilayer perceptron algorithm to provide trending information on the topics most frequently discussed at the forum at a certain time.
Cover Information

Color Research & ApplicationVolume 44, Issue 3 p. i-i COVER INFORMATIONFree Access Cover Information First published: 01 April 2019 https://doi.org/10.1002/col.22377AboutPDF 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 onFacebookTwitterLinkedInRedditWechat Graphical Abstract The cover image is based on the Research Article Assessing color performance of whole–slide imaging scanners for digital pathology by Wei–Chung Cheng et al., https://doi.org/10.1002/col.22365. Volume44, Issue3June 2019Pages i-i RelatedInformation
Improving Processing Speed of Real Time Stereo Matching u sing Heterogenous CPU GPU Model

This paper presents an improvement of the processing speed of the stereo matching problem. The time required for stereo matching represents a problem for many real time applications such as robot navigation , self-driving vehicles and object tracking. In this work, a real-time stereo matching system is proposed that utilizes the parallelism of Graphics Processing Unit (GPU). An area based stereo matching system is used to generate the disparity map. Four different sequential and parallel computational models are used to analyze the time consumed by the stereo matching. The models are: 1) Sequential CPU, 2) Parallel multi-core CPU, 3) Parallel GPU and 4) Parallel heterogenous CPU/GPU. The dense disparity image is calculated, and the time is highly reduced using the heterogenous CPU/GPU model, while maintaining the same accuracy of other models. A static partitioning of CPU and GPU workload is properly designed based on time analysis. Different cost functions are used to measure the correspondence and to generate the disparity map. A sliding window is used to calculate the cost functions efficiently. A speed of more than 100 frames per second(f/s) is achieved using parallel heterogenous CPU/GPU for 640 x 480 image resolution and a disparity range equals 50.
Introduction

Networks can be used to abstract most real world applications because of which network analysis has become an interesting field of research. But networks are high-dimensional raw data structures and therefore can challenge the analysis tools in terms of both computational and performance metrics. This prompted recent growth in network embedding tools and techniques to present the underlying data in a simpler form for analysis. In this chapter the notion of embeddingEmbedding is introduced. Also how an embedding helps in overcoming some of the problems associated with the analysis of large high-dimensional networks.
The Hypergeometric Series

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OAuth 2.0 Profiles

OAuth 2.0 is a framework for delegated authorization. It doesn’t address all specific enterprise API security use cases. The OAuth 2.0 profiles built on top of the core framework work to build a security ecosystem to make OAuth 2.0 ready for enterprise grade deployments. OAuth 2.0 introduced two extension points via grant types and token types. The profiles for OAuth 2.0 are built on top of this extensibility. This chapter talks about four key OAuth 2.0 profiles for token introspection, chained API invocation, dynamic client registration, and token revocation.
LIBYA: PM Sworn In

Africa Research Bulletin: Political, Social and Cultural SeriesVolume 58, Issue 3 p. 23075A-23077C Full Issue LIBYA: PM Sworn In First published: 16 April 2021 https://doi.org/10.1111/j.1467-825X.2021.09899.xRead 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 onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume58, Issue3April 2021Pages 23075A-23077C RelatedInformation
A Smoothed LASSO Based DNN Sparsification Technique

&lt;div&gt;Deep Neural Networks (DNNs) are increasingly being used in a variety of applications. However, DNNs have huge computational and memory requirements. One way to reduce these requirements is to sparsify DNNs by using smoothed LASSO (Least Absolute Shrinkage and Selection Operator) functions. In this paper, we show that for the same maximum error with respect to the LASSO function, the sparsity values obtained using various smoothed LASSO functions are similar. We also propose a layer-wise DNN pruning algorithm, where the layers are pruned based on their individual allocated accuracy loss budget determined by estimates of the reduction in number of multiply-accumulate operations (in convolutional layers) and weights (in fully connected layers). Further, the structured LASSO variants in both convolutional and fully connected layers are explored within the smoothed LASSO framework and the tradeoffs involved are discussed. The efficacy of proposed algorithm in enhancing the sparsity within the allowed degradation in DNN accuracy and results obtained on structured LASSO variants are shown on MNIST, SVHN, CIFAR-10, and Imagenette datasets.&lt;/div&gt;
Learning Swift and Xcode

For the most part, all programming languages perform the typical tasks any computer needs to do—store information, compare information, make decisions about that information, and perform some action based on those decisions. The Swift language makes these tasks easier to understand and accomplish. The real trick with Swift (actually, the trick with most programming languages) is to understand the symbols and keywords used to accomplish those tasks. This chapter continues the examination of Swift and Xcode so you can become even more familiar with them.
Why Join a Team?

We present experiments exploring why high ability workers join teams with less able co-workers when there are no short-term financial benefits. We distinguish between two explanations: pro-social preferences and expected long-term financial gains from teaching future teammates. Participants perform a real-effort task and decide whether to work independently or join a two-person team. Treatments vary the payment scheme (piece rate or revenue sharing), whether teammates can communicate, and the role of teaching. High ability workers are more willing to join teams in the absence of revenue sharing and less willing to join teams when they cannot communicate. When communication is possible, the choice of high ability workers to join teams is driven by expected future financial gains from teaching rather than some variety of pro-social preferences. This result has important implications for the role of adverse selection in determining the productivity of teams.