Reviewerly/exHarmony huggingface dataset:
Petrographic Characteristics of Host and Associated Rocks in the Pb-Zn Deposit of Rampura-Agucha Area, Bhilwara Belt (Rajasthan) India

The present study is to confine the Rampura-Agucha area, Bhilwara district, Rajasthan, which occurs in Bhilwara Super group at the contact with Banded Gneissic Complex.The Bhilwara belt is a thick pile of metasedimentary rocks in the eastern part of Aravalli-Delhi belt that consists dominant litho-units viz: graphite-sillimanite-garnet schist, garnet-biotite-sillimanite gneisses with garnet-bearing leucosomes as well as amphibolites, pegmatites and some scattered calc-silicates while the Pb-Zn ore deposit mainly occurs within graphite-biotite-sillimanite schist.The mineralogical assemblages of host rocks explain that they are formed under the high grade of metamorphism, primarily upper amphibolite to granulite facies condition.These Pb-Zn bearing ore are intimately associated with schist.The inclusions of quartz are common in garnets, while ore minerals also contain the inclusion of quartz and feldspar.The highly fractured grains of garnet, hornblende and pyroxene due to deformation, and pressure are observed in these host rocks while the contact between the quartz grains is of suture type in the calc-silicate rock.
‘WE LOVE READING, BUT…’: NIGERIAN CHILDREN ON FACTORS THAT AFFECT THEIR READING HABITS

In recent decades, Nigeria has repeatedly had low pass rates in examinations taken at the end of secondary school.There are claims that the low student achievements are largely because Nigerian children do not read for pleasure, even though these claims lack the backing of empirical research.This qualitative study therefore explores reading for pleasure done by a group of 9-12 year olds in a book club in Nigeria.It aims to shed light on the extent to which the children read, how, what, when and why they read, and the factors that affect their engagement with reading for pleasure.A study of children's reading habits is important as some research suggests that reading for pleasure may offer many benefits including reading proficiency, increased general knowledge, and improved vocabulary.Through an interpretivist theoretical perspective, the study gathered data using the methods of collage making, observation, questionnaire, and interviews.Findings indicate that the participants read for pleasure, though their level of engagement with reading for pleasure differs.All the participants read printed books, and a few participants also read digitally.Popular reading materials include fiction, comics, factual books, crime and detective books, and adventure books.The children have different motivations for reading, but many state that reading is fun and interesting.Some research done in the United States and the United Kingdom indicates that factors such as availability of books, choice of texts, pedagogies of reading and an enabling adult affect children's engagement with reading for pleasure.This study examined the relevance of these factors to the participants' reading habits and found that the reading engagement of all the participants may have been, in varying degrees, influenced by them.Other factors that possibly affected the participants' reading habits were the reading environment, reading aloud, and the availability of social networks and affordances that support leisure reading.The findings could provide guidance on practices that strengthen children's engagement in reading for pleasure and thereby help in the improvement of student achievement in Nigeria.
북한군의 기습에 대한 위기대응 연구

The North military has continuously carried out provocations against the South since the Korean War. However, South Korea is usually hit by North Korean military’s surprise attacks. An analysis of the actual nature of surprise to find out the reason, the surprise contains attributes such as speed, deception, information and counterintelligence, changes in operational methods, operation of new combat forces, use of unfavorable terrain and weather conditions, and psychological warfare.The cause of repeated surprise attacks by North Korean soldiers was studied through South Korea’s crisis management. South Korea has shown vulnerability in the inefficient operation of crisis management organizations and losing the timing of responses or responding in an expedient manner. In the end, the North’s provocations have been repeated as it ended its response without dissipating its surprise capabilities or intentions.In order to prevent North Korean military attacks, South Korea needs additional efforts to destroy its surprise intentions. The countermeasure tactics to be applied should be employed taking into account the nature of the technology.
How to Fix Unfortunately Android Keyboard Has Stopped Error

A few days back I started getting the unfortunately android keyboard has stopped message on my phone. If you see a similar error, then read this post ...
ANALISIS GAYA BAHASA KUMPULAN PUISI MENUJU BAIK ITU BAIK KARYA PANJI RAMDANA DAN IMPLEMENTASINYA SEBAGAI PERANGKAT PEMBELAJARAN BAHASA INDONESIA UNTUK KELAS VIII MENENGAH PERTAMA

Language style is used to enhance effects by promoting and comparing certain objects or not. study of in literary works. One form of literary work is poetry. Poetry is words in the most beautiful arrangement that can never be separated from the use of language style. The style of language included in poetry usually consists of stylistic style. This research discusses the stylistic style used in a collection of poems by Panji Ramdana. This study aims to describe the conflicting language style and explain the Indonesian language learning tools in the form of RPP using a collection of poetry Towards Good is Good. This research is a qualitative descriptive study. The data source of this research is the text of a collection of poems Menuju Baik PanjiRamdana. Data collection techniques used in this study were reading, collecting, and note taking techniques. While the analysis technique uses content analysis (content). Furthermore, the instruments in this study were researchers and the supporting instruments were tables. The results of this study are the use of opposing language styles in this poem are all who rhyme, using a gentle rhythm because the average contains about the sad story and sadness about a mate. While the tone and atmosphere that is awakened is an average which causes a sad or sad atmosphere for the reader. Then the language styles that are widely used are the oxymoron, paradoxical, antifrasis, hyperbole, litotes, irony, cynicism, sarcasm, paronomasia, paralipsis, zeugma and silipsis, innuendo, climax, apostrophe, anastrophe or inverse, apophasis, historon, hypalase. who works for beauty. Then after analysis, compiled learning tools about the analysis of the poems. The learning tool compiled is a lesson plan that helps students and teachers in the learning process.
A Study of Customer Satisfaction in Administration Procedure at Food Testing Laboratory by SERVQUAL Method

Food Testing Laboratory is the agency that provides services of testing samples of the Original farm.The measurement of customer satisfaction in this instance has not been detected according to the value of the interests of the customer.This study aims to learn the level of customer satisfaction according to the views of customers and find what things need to be evaluated for quality improvement.The research on the methods of dimension 5 uses their Service Quality, i.e. reliability, Responsiveness, Assurance, empathy and also physical evidence.Customer satisfaction measurement is done with the dissemination of a questionnaire on 64 respondents.The results have been analyzed using SERVQUAL method and Diagram of Importance-Performance Analysis (IPA) that is processed using Microsoft Excel and SPSS Software obtained that 19% of customers have been feeling very satisfied with the services provided while 81% were satisfied.Quality improvement priority also needs to be done for 2-dimensional variable guarantee with priority improvements to the 9th variable.
HASIL BELAJAR BAHASA INDONESIA SISWA SMK MAITREYAWIRA TANJUNGPINANG TAHUN AJARAN 2019/2020

This study aims to determine the Indonesian language learning outcomes of SMK Maitreyawira Tanjungpinang students in the 2019/2020 school year. The object of the research was SMK Maitreyawira Tanjungpinang students. This type of research uses a quantitative approach using descriptive methods. Data collection techniques used were documentation of the acquisition of Indonesian students' learning outcomes. The research instrument in this study is learning outcomes. data analysis conducted by the researcher is the researcher calculating the results of learning Indonesian students in SMK Maitreyawira Tanjungpinang 2019/2020 school year with the help of Microsoft Excel.
KELAYAKAN MODUL PEMBELAJARAN MATEMATIKA BERNUANSA BUDAYA KEPULAUAN RIAU KELAS VII MATERI SEGITIGA

The purpose of this study is to determine the feasibility of the module based on expert judgment. The method used in this research is quantitative descriptive. The technique of data collection is done by questionnaire. Data analysis uses descriptive statistical data analysis. The research results obtained are cultural learning modules nuanced Riau Islands received an assessment of 3.91 from the material experts. 3.83 from media experts and 3.85 from linguists. Thus the results of expert judgment obtained an average overall value of 3.86 with the criteria valid and concluded that the module was said to be feasible to use.
Enhance the Quality of Collaborative Filtering Using Tagging

Background: Due to enormous data on web sites, recommending users for every item is impossible. For this problem, Recommender Systems (RS) are introduced. RS is categorized into Content-Based (CB), Collaborative Filtering (CF) and Hybrid RS. Based on these techniques, recommendations are made to the user. In this, CF is the recent technique used in RS in which tagging features also provided. Objective: Three main issues occur in RS are scalability problem which occurs when there is a huge data, sparsity problem occurs when rating data is missing and cols start user or item problem occurs when new user or new item enters in the system. To avoid these issues, here we have proposed Tag and Time weight model with GA in Collaborative Tagging. Methods: Here we have proposed a method Collaborative Tagging (CT) with Tag and Time weight model with real value genetic algorithm which enhances the recommendation quality by removing the issues of sparsity and cold start user problems with the help of missing value prediction. Here in this system, the sparsity problem can be removed using missing value prediction and cold start problems are removed using tag and time weight model using GA. Results: In this study, we have compared the results of Collaborative Filtering with Cosine Similarity (CF-CS), Collaborative Filtering with Diffusion Similarity (CF-DS), Tag and Time Weight Model with Diffusion Similarity (TAW-TIW-DS) and Tag and Time Weight Model Using Diffusion Similarity and Genetic Algorithm (TAW-TIW-DS-GA). Conclusion: Here we have compared the proposed approach with the baseline approaches and the metrics are used MAE, prediction percentage, Hit-rate and Hit-rank. Based on these metrics for every split, TAW-TIW-DS-GA showed best results as compared to the existing approach.
How to Properly Update Google Chrome (Fix Update Problem) ( %%currentyear%% )

Most of the internet depends on Google Chrome as it is used by 62.57% of desktop/laptop internet users. You should always use the latest version of ...
Towards Better Compressed Representations

We introduce the problem of computing a parsing where each phrase is of length at most m and which minimizes the zeroth order entropy of parsing. Based on the recent theoretical results we devise a heuristic for this problem. The solution has straightforward application in succinct text representations and gives practical improvements. Moreover the proposed heuristic yields structure whose size can be bounded both by |S|H_(m-1)(S) and by |S|/m(H_0(S) + ... + H_(m-1)(S)), where H_k(S) is the k-th order empirical entropy of S. We also consider a similar problem in which the first-order entropy is minimized.
Semi-Supervised Learning Using Procreative Modelling Techniques

Semi-supervised learning could be a learning strategy that investigates how to obtain knowledge before each identified and unlabeled data, like humans, machines and natural systems. Semi-supervised learning-based methods are best appreciated in contrast to controlled due to the improved performance. Labels are terribly disturbing to obtain and unlabeled information is free, but a smart predictor could be semi-supervised leaning to reduce human labor and maximize accuracy.
GSU Library Research Guides: Web Savvy -- General Guide: Is It Credible?

A multi-page tutorial on evaluating web sites, for beginners and those who think they know. How to check if an article or image is credible enough to share or use in a paper.
TIC en la educación: nuevos ambientes de aprendizaje en la enseñanza de las Ciencias Sociales

The present investigation arises from the context of the Unidad Educativa Santa Marianita de Borrero. The main purpose is to establish a learning environment mediated by ICT for the teaching of Social Sciences in the eighth year of Basic General Education. The methodology of this project is qualitative-quantitative, as techniques were used such as: participant observation during the academic days, semi-structured surveys to teachers and students, the documentary analysis of school files and a guide to classroom observation. The results obtained from the techniques used confirm the need to incorporate technological and virtual resources in the teaching-learning processes of the Social Sciences area.
Transform selection for video coding

- In video coding algorithm, a transform is one of the most important video compression tools. Transform converts residual signals into frequency domain data to get decorrelated signals. Decorrelated data using transforms is used for coding efficiency improvement in video compression. In this paper, an efficient transform selection method in term of video compression is described by using transform block size and intra coding mode on the top of the HEVC standard.
한국교회사학회의 성장과 발전: 1966년부터 1999년까지

This article examines the history of the Church History Society in Korea, which began in 1966, until 1999 in terms of growth and development. In general, following the format of the report according to the principles of 5 Ws and 1 H. it organizes chronologically the figures of the founding period and the activities of the Society. In addition, for Professor Kyung-Bae Min's comment, the Society worked for research presentations, publications, and journal publications. Finally, it examines how the funding of the Society was collected and spent. In addition, this article contains several tables that have been restructured into a discussion framework raised during the research process. This study points out that the early growth and development of the Church History Society in Korea was conducted by the scholars who study and teach church history in Korea. The foundation was established through the dedication of the first president, Professor Nak-Joon Paik, and the pillars and appearance by the juniors and disciples. Members, officers, and finances have steadily increased, and this has led to a clear framework and scale for projects such as research presentations, publications, and journal publications. Above all, in order to study the development of the Society in more detail and depth, it is necessary to collect and supplement the data that members keep personally. The Society, as an ecumenical group that goes beyond denominational theological intolerance, attempted to express academic interest in the issues of democratization, peace and unification of Korea. Finally, the fellowship between the members was centered on the academic interests and researches of each member.
Teaching Vocabulary Acquisition through Derivational Suffixes of SMP Santo Petrus Medan in the Academic Year 2017/2018

This study is aimed to improve the students’ vocabulary acquisition through derivational suffixes strategy. The subject of this study is the students of Class IX-1 of SMP Santo Petrus Medan in the academic year of 2017/2018. This study is conducted by applying Classroom Action Research (CAR), which have been conducted in two cycles (cycle 1 and cycle 2) and each cycle consisted of four meetings. The results of vocabulary test shows that the progressing mean score of the pretest is 34.66, post test in cycle 1 is 93.46, and post test in cycle 2 is 97.33. In cycle 1, the comparison percentage of nominal is 88.83%, verbal is 77.46%, adjectival is 40.74%, and adverbial is 84.14%. In cycle 2, the comparison percentage of nominal is 100%, verbal is 95.45%, adjectival is 65.84%, and adverbial is 94.91%. The percentage of the students who pass Minimal Criterion Mastery in each cycle is 100%, with the improvement 169.64% in cycle 1 to 180.81% in cycle 2. These indicate that there is a significant improvement of the students’ vocabulary mastery through affixation strategy of Class IX-1 of SMP Santo Petrus Medan in the academic year of 2017/2018.
Phenomenology Approach Applicability in Information Systems and Technology Field

Phenomenology is a research approach that is uniquely positioned to help scholars learn from the experience of others.Even though it is a powerful research approach, the nature of phenomenology is qualitatively requiring a more subjective, interpretive stance which makes it incompatible with ICT research which is based on logical, objective and quantifiable procedures.This incompatibility has made ICT scholars shy away from applying it in their research work.However, phenomenology can still be used to explore challenging problems in the field of ICT, by understanding its nature of studies and working to ensure proper alignment between the specific research question and researchers' underlying philosophy.An important finding from the different studies that have applied phenomenology is that empiricism and phenomenology do not oppose each other, rather while empiricism helps understand what happens in ICT use, phenomenology helps to uncover the root cause behind the empirical observation.Therefore, it is important to know areas in ICT research where phenomenology is most suitable.This article examines the applicability of phenomenology approach in the field of ICT by defining phenomenology, explaining the nature of studies that apply it, highlighting the benefits of applying phenomenology approach in the field of ICT, Discussing suitable areas in the field of ICT where phenomenology approach is applied and Revealing areas where phenomenology approach has been applied in the field of ICT.
INNOVATIVE MANAGEMENT OF A UNIVERSITY

The transformation of universities from the classic model to the entrepreneurial university and later to the innovative university is the stimulator for the creation of a knowledge society providing the foundation for an economy based on knowledge.This process is the effect of internal disputes running between traditionalists and pragmatists at universities.Among the traditionalists there is a conviction that knowledge is of a theoretical dimension that comes down to the value of discovery, retention and conveyance of knowledge in its own right.The aim of the herein paper is to conduct an analysis of the process of innovative management of a university, while also to define the innovative features of a university and the principles of management of a university of the third generation.The effect of the pilot research conducted is the proposal of the model of the university of the third generation, whose development is generated by constant innovation, cooperation with the economy, while also social partners and civic society.
On Feature Selection Stability and Privacy Preserving Data Mining: A Data Perspective

The data relating to data mining has turned out to be profoundly multi-dimensional in the recent past.It is also to be noted that such dimensionality has rapidly expanded over time.Moreover, in light of the positive assessment norms for enhanced data mining concerts, feature selection opts for a petite subset of the significant features from the original dataset.The stability of the feature selection is a key criterion in feature selection algorithms.Moreover, the most important aspect is its sturdiness in reducing the disturbances in the training data or in the expansion of the most recent samples.Lately, it has been demonstrated that the stability of the feature selection usually centers on data, and that it is not entirely unbiased in terms of algorithm.The privacypreserving data mining changes a portion of the sensitive and quasi-identifying attributes in order to keep the conceivable re-identification of an individual's tuple through intrusive or malignant data miner and brings a choppy privacy conserved dataset.Since the stability of the feature selection relies primarily upon data, the stability of the feature selection lessens with such privacy-preserved choppy datasets.Besides, the privacy preserving ruffling associates stresses the stability of the selection of features and data utility.Picking proper privacy-preserving data mining technique with significant privacy-preserving ruffling to enhance feature selection stability alongside the greater privacypreservation and data utility is consequently a challenging issue in the field of research.Hence, the present paper intends to highlight the issue with reference to the three algorithms for privacy-preserving data mining and their relative analysis.
Efficient bin allocation for chroma intra mode coding

The Versatile Video Coding (VVC) is a new state-of-the art video compression technology that is being under standardization. It targets for about two times higher coding efficiency against the existing HEVC, supporting HD/UHD/8K video and high dynamic range (HDR) video. It also targets for versatilities such as screen content coding, adaptive resolution change, and independent sub-pictures. To develop an effective coding method for chroma intra prediction mode, in this paper, we investigate its binarization process in CABAC (context adaptive binary arithmetic coding) and test a method which assigns shorter bins to more frequent chroma intra modes and longer bins to the less frequent ones based on the chroma mode statistics.
Pose Evaluation Method Based on Part-based Hierarchical Bidirectional Recurrent Neural Network

Human body posture evaluation can be applied to many important real-world fields such as sports referee assistance. One of the key challenges is to capture the dynamic changes of human bone key points from the video. In this paper, we propose a new network structure based on part-based hierarchical RNN (PHRNN) [6] to analyze the time series information on key points of bones, which can effectively to extract the temporal features of human pose from continuous video frames. We conduct experiments on our own volleyball data set. The experimental results show that the proposed method is effective against attitude evaluation.