Reviewerly/exHarmony huggingface dataset:
Geochemical significance and Formation of Su&amp;#231;at&amp;#305; Pb-Zn Deposits &amp;#8211; Eastern Taurides

&amp;lt;p&amp;gt;&amp;lt;strong&amp;gt;Geochemical significance and Formation of&amp;amp;#160; Su&amp;amp;#231;at&amp;amp;#305; Pb-Zn Deposits &amp;amp;#8211; Eastern Taurides&amp;lt;/strong&amp;gt;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Hatice Nur Bayram&amp;lt;sup&amp;gt;(1)*&amp;lt;/sup&amp;gt;, Ali Erdem Bakkalba&amp;amp;#351;&amp;amp;#305; &amp;lt;sup&amp;gt;(1)*&amp;lt;/sup&amp;gt;, Mustafa Kumral&amp;lt;sup&amp;gt;(1)&amp;lt;/sup&amp;gt;, Ali Tu&amp;amp;#287;can &amp;amp;#220;nl&amp;amp;#252;er&amp;lt;sup&amp;gt;(1)&amp;lt;/sup&amp;gt;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;lt;sup&amp;gt;(1)&amp;lt;/sup&amp;gt;Istanbul Technical University, Department of Geological Engineering, Istanbul/Turkey&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;(*E-mail: hnnurbayram@gmail.com)&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The Middle Tauride Orogenic Belt is a productive enviroment in terms of Pb-Zn ore deposits, mostly associated with Permian aged dolomitized, shallow marine platform type carbonate rocks. There have been many studies on the origin of the ore deposits in the region, there are two important approaches that stand out for the formation of the ore deposits: the first theory is hydrothermal deposits with magmatic origin, and the other theory is Missisippi Valley-type (MVT) deposits related with the carbonate rocks commonly found in the region. Field studies at the Su&amp;amp;#231;at&amp;amp;#305; (Kayseri &amp;amp;#8211; Yahyal&amp;amp;#305;, Central Anatolia, Turkey, East of Alada&amp;amp;#287;lar extension of the Taurides) ore district in the Alada&amp;amp;#287; geologic unit indicate that the deposits in the region are associated with Paleo-Tethys limestones, fossiliferous limestones and dolomitic limestones. Mineralization is related to Lower Permian aged carbonate rocks include primary mineralization ore minerals as galena, sphalerite, smithsonite and goethite and as a product of hydrothermal activity, calcite mineral filled within fractures and cracks represents gangue minerals. As a result of geochemical analysis of the samples collected from the ore zones, PbO values range between 25.93% - 0.012%, ZnO values range between 51.01% - 0.042%, Fe&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;O&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt; values range between 42.81% - 10.21%. In conclusion hydrothermal activities closely related with compressional and extentional tectonic regimes took place in multiphase mineralization.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;lt;strong&amp;gt;Keywords:&amp;lt;/strong&amp;gt; Pb-Zn Deposits, MVT, Taurides, Yahyal&amp;amp;#305;&amp;lt;/p&amp;gt;
Development of Educational Mobile Soccer Platform Teaching Mechanical Design and Fabrication for Mechanical Engineering

Abstract The mobile platform is an attractive educational tool that has brought to myriad effective benefits for a variety of the application fields. Furthermore, application of the mobile platform to engineering education has greatly assisted the engineering students’ firsthand experiences in college. However, most of the robotics classes offered today are concentrating on mechatronics and software education. For the advancement, this paper develops the mobile platform for the effective curriculum in teaching design and fabrication of robots in the house. The design of the proposed mobile platform bases on the knowledge of the majors subject from mechanical engineering. Through the dynamic simulation, the possibility of an introduction of the developed platform to robotics education is verified. Dynamic simulation experiments with the maximum velocity and acceleration of this system are carried out to check the application for educational purposes. As a final step, components of the platform are fabricated and assembled.
Perangkat Lunak Pencarian Apotek Menggunakan Metode Item Based Collaborative Filltering Dan Algoritma Floyd Warshall

Pharmacy is a health service that is very important for the community, this means that this is very much related to public health. To facilitate the community in finding the right and fast pharmacy with the best recommendations and shortest routes and several alternatives to the location of the pharmacy. This study aims to create software that makes it easier for people to find pharmacies based on alternative routes and other information related to the pharmacy located in the city of Palembang. This software uses the Floyd Warshall Algorithm as the shortest path algorithm and the Item-based collaborative filtering method for selecting items based on the rating given by the user. The system development method used is the prototype method. This research produces pharmacy location search software with alternative routes along with general information related to the pharmacy
Reduction of Speech Data Posteriorgrams by Compressing Maximum-likelihood State Sequences in Query by Example

Spoken-term detection (STD) has recently attracted increased interest in speech-based retrieval research. STD is the task of finding sections in speech data matching a query consisting of one or more words. Query by example (QbE) using spoken queries is another important research topic in STD. Although the use of posteriorgrams (sequences of output probabilities generated by deep neural networks from speech data) is a promising approach for QbE, that method results in long retrieval times and excessive memory usage. We previously proposed a method that replaces posteriorgrams for spoken queries with sequences of state numbers for triphone hidden Markov models, omitting calculations of local distance. While that method greatly reduced retrieval times, it still required large amounts of memory to store speech data posteriorgrams. We therefore newly propose a method for reducing memory usage and retrieval times by compressing speech data posteriorgrams into sets of posterior probability vectors for each utterance, each speech document, or all speech data, rather than storing all posterior probability vectors for each frame of speech data. Evaluation experiments conducted using open test collections for the “SpokenDoc” tasks of the NTCIR-10 and NTCIR-12 workshops demonstrate memory usage reduction by the proposed method.
2020 Puts Cloud Computing in Government to the Test

State and local public-sector agencies have long been making a move toward cloud first and now cloud smart strategies. COVID-19 gave them the change to prove whether those investments paid off.
CoreTrustSeal Trustworthy Data Repositories Requirements 2020–2022 : CoreTrustSeal Standards and Certification Board

The CoreTrustSeal Trustworthy Data Repositories Requirements (formerly: Core Trustworthy Data Repositories Requirements) were developed by the DSA–WDS Partnership Working Group on Repository Audit and Certification, a Working Group (WG) of the Research Data Alliance. The goal of the effort was to create a set of harmonized common requirements for certification of repositories at the core level, drawing from criteria already put in place by the Data Seal of Approval (DSA) and the World Data System (WDS) of the International Science Council. An additional goal of the project was to develop common procedures to be implemented by both DSA and WDS. Ultimately, the DSA and WDS plan to collaborate on a global framework for repository certification that moves from the core to the extended (nestor-Seal DIN 31644), to the formal (ISO 16363) level. The CoreTrustSeal Requirements are reviewed and updated if necessary every three years. To prepare the release of the CoreTrustSeal Requirements 2020–2022, a review and revision process was undertaken in several distinct phases. Feedback was included from applicants during past reviews, other communication and outreach activities, as well as an open review period that ran from 1 March 2019 to 31 May 2019. A WG of the CoreTrustSeal Board met face-to-face on 23–25 July 2019 to review each item of feedback, and incorporate them into revisions of the Requirements, Extended Guidance, and Glossary as necessary. Given the feedback received and that past WDS and DSA repositories are continuing to transition to the CoreTrustSeal certification, the number, structure, and content of the Requirements remain fundamentally stable for 2020–2022. This stability enables the CoreTrustSeal Board to work to support a wider range of repository types and repository technical infrastructure providers in the future. It also provides an established baseline from which to consider other external demands on the CoreTrustSeal.
Finding the Sources for Marlowe’s Lucan: Alexicographical Proposal

Finding the Sources for Marlowe’s Lucan: Alexicographical Proposal Cristiano Ragni Cristiano Ragni University of GENOA (Italy) E-mail: cristiano.ragni@unito.it Search for other works by this author on: Oxford Academic Google Scholar Notes and Queries, Volume 68, Issue 1, March 2021, Pages 80–84, https://doi.org/10.1093/notesj/gjab008 Published: 21 February 2021
AN ANALYSIS OF PROBLEMS FACED BY ENGLISH TEACHERS IN WRITING LESSON PLAN

Abstract Name: Cut Afifah Nadia Zulfa Student No: 1506102020032 Study Program: English Education Department Title: An Analysis of Problems Faced by English Teachers in Writing Lesson Plan Keywords: Lesson plan, English teachers’ problems This research aimed at investigating the problems faced by English teachers in writing lesson plan. It also tried to find out how English teachers solved the problems in writing lesson plan based on the 2013 curriculum at SMA 5 Banda Aceh. A descriptive qualitative was undertaken by using semi-structured interview to obtain information from four English teachers in SMA Negeri 5 Banda Aceh. The result of the study showed that there were seven problems faced by English teachers in writing lesson plan based on the 2013 curriculum, namely ‘the student’s status’, ‘adjustment of curriculum changes’, ‘syntax of learning models’, ‘developing materials’, ‘determining teaching methods’, ‘determining indicators’, ‘making assessment’. Moreover, the solutions used to face the problems in writing lesson plan are asking other English teachers, attending MGMP, using internet and a guidebook. In conclusion, English teachers at SMA Negeri 5 Banda Aceh still need to overcome a number of problems to improve the knowledge regarding writing lesson plan based on the 2013 curriculum.
Human Action Recognition Using Recurrent Bag-of-Features Pooling

Bag-of-Features (BoF)-based models have been traditionally used for various computer vision tasks, due to their ability to provide compact semantic representations of complex objects, e.g., images, videos, etc. Indeed, BoF has been successfully combined with various feature extractions methods, ranging from handcrafted feature extractors to powerful deep learning models. However, BoF, along with most of the pooling approaches employed in deep learning, fails to capture the temporal dynamics of the input sequences. This leads to significant information loss, especially when the informative content of the data is sequentially distributed over the temporal dimension, e.g., videos. In this paper we propose a novel stateful recurrent quantization and aggregation approach in order to overcome the aforementioned limitation. The proposed method is inspired by the well-known Bag-of-Features (BoF) model, but employs a stateful trainable recurrent quantizer, instead of plain static quantization, allowing for effectively encoding the temporal dimension of the data. The effectiveness of the proposed approach is demonstrated using three video action recognition datasets.
Developing E-Learning Modules of Common-Rail Technology

The purpose of this research is to: (1) produce learning module in the form of Common-Rail technology learning modules in the subject of light vehicle engine maintenance in class XII; and (2) knowing the feasibility of the Common-Rail technology module produced in the light vehicle engine maintenance subject for class XII. The research and development used aims to develop a learning module, namely the Common-Rail technology module in class XII of light vehicle engineering. The method used from the Four-D by Thiagarajan, Semmel, and Semmel has been modified. The process used in the development of the learning module is to define, design, develop, and disseminate. Feasibility data collection media is using a questionnaire. This research involved material experts, media experts, subject teachers, and students as respondents for the feasibility of the module. Descriptive statistical data analysis techniques were used in this study. The feasibility results of the Common-Rail technology module carried out by material experts obtained a feasibility value of 94.56% in the very feasible category. One of the media experts obtained a feasibility score of 77% in the very feasible category. the feasibility level of the subject teacher got a feasibility score of 77.17% very feasible category. While the response from students obtained a value of 79.04% with the very feasible category. Therefore, the Common-Rail technology module is suitable to be used to help the learning process
Query-By-Example Spoken Term Detection Using Generative Adversarial Network

Several Neural Network (NN)-based representation techniques have already been proposed for Query-by-Example Spoken Term Detection (QbE-STD) task. The recent advancement in Generative Adversarial Network (GAN) for several speech technology applications, motivated us to explore the GAN in QbE-STD. In this work, we propose to exploit GAN with the regularized cross-entropy loss, and develop a framework featuring GAN, trained using Gaussian Mixture Model (GMM)-based posterior labels. The proposed GAN maps the speech-specific features to the unsupervised posterior labels. This mapping represents the speech through an unsupervised GAN posteriorgram (uGAN-PG), for matching the query (keyword) with the utterances in the document. The QbE-STD, using the proposed posteriorgram is performed on the TIMIT database. We compare the performance of the proposed uGAN-PG with the unsupervised Deep Neural Network (DNN) posteriorgram (uDNN-PG) and obtained the relative performance improvement of 10.32 % Mean Average Precision and 5.6 % Precision by considering top N queries (p@N) over uDNN-PG.
A Case Study of Primary School Chinese Reading Teaching Based on Core Literacy

As the essential and important means, reading has a more and more important position in learning, life and work with the development of science and cultur. Therefore, UNESCO (United Nations Educational; Scientific and Cultural Organization) wrote in a document: "The illiteracy of tomorrow will not be the person who cannot read, but the person who cannot read." Chinese course consists of five learning blocks: "literacy and writing", "reading", "writing", "oral communication" and "comprehensive learning", among theese blocks, the reading section have great significance in the primary and secondary school stage. Chinese teaching in primary schools is the foundation of basic education. It is committed to cultivating students' ability to use language and vocabulary, improving students' comprehensive quality, and laying a foundation for students to form a correct world outlook, outlook on life and values, as well as forming a good personality and sound personality. In a manner of speaking, in primary school Chinese teaching stage, the cultivation of reading ability has irreplaceable important value for the development of students' language ability, the improvement of students' thinking ability, and the comprehensive development of students' Chinese core literacy. Under such a background, this research studied the primary school Chinese reading teaching based on core literacy.
On the Landscape of Sparse Linear Networks

Network pruning, or sparse network has a long history and practical significance in modern applications. Although the loss functions of neural networks may yield bad landscape due to non-convexity, we focus on linear activation which already owes benign landscape. With no unrealistic assumption, we conclude the following statements for the squared loss objective of general sparse linear neural networks: 1) every local minimum is a global minimum for scalar output with any sparse structure, or non-intersected sparse first layer and dense other layers with orthogonal training data; 2) sparse linear networks have sub-optimal local-min for only sparse first layer due to low rank constraint, or output larger than three dimensions due to the global minimum of a sub-network. Overall, sparsity breaks the normal structure, cutting out the decreasing path in original fully-connected networks.
Comprehensive Process Drift Detection with Visual Analytics

Recent research has introduced ideas from concept drift into process mining to enable the analysis of changes in business processes over time. This stream of research, however, has not yet addressed the challenges of drift categorization, drilling-down, and quantification. In this paper, we propose a novel technique for managing process drifts, called Visual Drift Detection (VDD), which fulfills these requirements. The technique starts by clustering declarative process constraints discovered from recorded logs of executed business processes based on their similarity and then applies change point detection on the identified clusters to detect drifts. VDD complements these features with detailed visualizations and explanations of drifts. Our evaluation, both on synthetic and real-world logs, demonstrates all the aforementioned capabilities of the technique.
“Soul Buddyz Clubs are for Children, about Children and by Children”: Youth Empowerment through Edutainment

This article analyses a brochure of the Soul Buddyz club, which elaborates the core focus of the organisation, the duties of the Soul Buddyz clubs as well as success stories of actual club members and leaders. The literature review expands on health promotion through edutainment, social behavioural change communication theories, namely the Elaboration Likelihood Model (ELM) and the Theory of Reasoned Action (TRA)/Theory of Planned Behaviour (TPB), Empowerment Theory, and Social Cognitive Theory (SCT). A qualitative semiotic analysis was conducted of the brochure, Children Taking the Lead, to establish the meaning-making and use of edutainment via health promotion. The findings indicate how the brochure makes use of a variety of visuals to create meaning, as illustrated throughout the text. Health literacy is core when communicating health promotional messages to the youth. The Soul Buddyz clubs have established a welcoming, secure environment for the youth by creating opportunities such as learning about life skills and health aspects, among other social ills affecting children within rural and urban areas.&#x0D;
The Target and JPMorgan Chase Breaches of 2013 and 2014

In this chapter, we cover the 2013 Target breach when hackers exfiltrated over 40 million credit card numbers and the JPMorgan Chase (JPMC) breach of 2014 when attackers stole the names and email addresses of over 70 million customers. We cover these two mega-breaches together because, in part, both were caused by third-party compromises. An organization may have to work with many third parties, including developers (as Cambridge Analytica was to Facebook), acquisitions (Marriott acquiring Starwood Hotels), and customers (Dun & Bradstreet providing customers data on businesses). As business models evolve to support more open “platforms,” we can expect to see the reliance on third parties continue to increase, which makes the lessons from this chapter relevant and applicable. In the case of Target and JPMC, both were initially breached through a third-party supplier. The Target and JPMorgan Chase breaches were also significant because they were the first two mega-breaches, in which tens of millions of records were stolen in one shot, that took place starting in 2013 and 2014.
THE EVOLUTION OF THE BANK DEPOSITS MARKET IN THE OLTENIA SOUTH WEST REGION

The article presents the analysis of the evolution of deposits in lei and foreign currency from the South West Oltenia Region. The inhabitants of Oltenia have less money in their bank accounts in the form of deposits in lei and foreign currency. At a time when specialists are urging us to save, some residents of Oltenia have significantly diminished their savings at banks in the form of bank deposits.  The methods used by the authors of the paper consisted in collecting information from the NBR data sets, analysis, graphical representation and formulation of conclusions.  An aspect that emerges from the analysis is the fact that in Romania the standard of living is low on average, and the SV Oltenia Region can be considered among the poorest areas of the country, as a result also the level of saving is lower than in other regions.
Slovenian RoBERTa contextual embeddings model: SloBERTa 2.0

The monolingual Slovene RoBERTa (A Robustly Optimized Bidirectional Encoder Representations from Transformers) model is a state-of-the-art model representing words/tokens as contextually dependent word embeddings, used for various NLP tasks. Word embeddings can be extracted for every word occurrence and then used in training a model for an end task, but typically the whole RoBERTa model is fine-tuned end-to-end.SloBERTa model is closely related to French Camembert model https://camembert-model.fr/. The corpora used for training the model have 3.47 billion tokens in total. The subword vocabulary contains 32,000 tokens. The scripts and programs used for data preparation and training the model are available on https://github.com/clarinsi/Slovene-BERT-ToolCompared with the previous version (1.0), this version was trained for further 61 epochs (v1.0 37 epochs, v2.0 98 epochs), for a total of 200,000 iterations/updates.The released model here is a pytorch neural network model, intended for usage with the transformers library https://github.com/huggingface/transformers (sloberta.2.0.transformers.tar.gz) or fairseq library https://github.com/pytorch/fairseq (sloberta.2.0.fairseq.tar.gz)
Organizational and psychological conditions for the formation of professional motivation of university students

The article compares the views of scientists on the phenomenon of motivation; analyzes the psychological and pedagogical aspects of the process of formation motivation university students in the modern educational environment; disclosed the purpose, tasks of studyingthe motivation of students.
Cooperative Vector Processing of GPS Signals

This paper analyzes the potential to improve GPS receiver signal tracking through cooperation of vector processing receivers. Collaboration amongst vector tracking receivers is developed here with a third order Cooperative Vector Delay/Frequency Lock Loop (CVDFLL), where the receivers are assumed to share similar jerk dynamics. Analytical, simulation, and experimental results are given that show cooperation can provide large performance gains (+ 10 dB) to vector tracking when receivers share user dynamics, and small performance gains (+ 3 dB) to vector tracking when receiver dynamics are dissimilar. The results from the paper suggest dynamic modeling plays an important role in the enhancement provided by the CVDFLL.