Reviewerly/exHarmony huggingface dataset:
Robust Steganographic Algorithm based on Wavelet Transform

This paper proposes a new robust algorithm for hiding information in the visual information of images. Our robust version (RV) supports hiding data in 40×40 pixel black and white image and even after resizing and jpeg transform, around 80% of the original watermark can be recovered. Our dimension version (DV) increases the amount of data that may be hidden, up to 75% of LSB steganography but offers a high level of imperceptibility by hiding data inside the wavelet coefficients.
Comparative study of Sentiment Analysis on Amazon Product Reviews using Recurrent Neural Network (RNN)

The problem of sentiment analysis on Amazon products is addressed in this research. In reality, because opinions are at the center of practically all human activity, sentiment analysis tools are used in almost every economic and social arena. They are also major influencers of our actions. The recurrent neural network (RNN) model is used to classify the product reviews of Amazon in this paper. Furthermore, using this family of models, which is particularly well-suited to the processing of sequential data, we were able to construct comprehensible text from an initial sequence on a character- by-character basis. As a result, we used three Amazon review datasets to estimate the authors' attitudes. As a result, we achieve results of 85% accuracy, and which are comparable to the greatest state-of-the-art models in this area.
A Social Recommendation Method Based on Double-Layer Weak Relation Network

In recent years, social recommendation become a popular research direction. Most social recommendation algorithms use solid relations for the recommendation, which causes a severe problem of accumulation of homogenized information in the recommendation list. Therefore, the paper proposes a social recommendation method based on a double-layer weak relation network. It can transmit heterogeneous information through a double-layer weak relation network. Firstly, the social recommendation method on weak relations reconstructs the knowledge graph and obtains the double-layer weak relations network. The first layered network uses SSLPA to establish a social trust network structure, the total weight of the network is quantified by the trust gate mechanism, and the migration confrontation technology determines the instance weight; The second layer is a weak relation social attribute network established by using the attribute information of nodes, and the social attribute network is constructed according to the bipartite graph technology. Secondly, the random walk model switches the double-layer weak relation network. After the random walk model reaches a stable distribution, the node heterogeneity recommendation list is obtained. Finally, building an experimental platform, and the experimental results show that the algorithm proposed in the paper has better heterogeneity propagation ability to ensure high accuracy.
KETERAMPILAN GURU ABAD 21 DALAM MENGURANGI LEARNING LOSS PADA PESERTA DIDIK (KAJIAN FENOMENALOGIS DI SMA KABUPATEN SUMBAWA)

The importance of 21st century teacher skills that must be possessed to minimize learning loss in certain situations (learning loss) becomes a foothold that must be studied, reviewed by all practitioners, lecturers, teachers, and educational institutions. This learning loss phenomenon has become a serious problem for students in the midst of Covid-19 and coupled with the limited internet access in the mountainous region of the southern part of Sumbawa. In addition, the skills of 21st century teachers are the main capital in utilizing information and communication technology. Based on qualitative research with a phenomenological approach that uses Interpretative Phenomenological Analysis (IPA) analysis shows that (1) 21st century communication skills possessed by educators and students show that understanding the role of multimedia in accessing, managing materials, videos, assignments, attendance, and simulating using various platforms (google meet, google classroom, whatsapps, and email) in blended learning is quite good, (2) the ability to create information in various forms and media; create communication (oral, written and in the form of multimedia); and transfer learning from one domain to another; sharing and communicating digital information is a major detail of information and media literacy skills; communication skills; and self-direction skills possessed by 21st century educators.
Security Access Control of Docker Process Based on Trust

Container technology has become a widely recognized server resource sharing method, which can provide system administrators with great flexibility in the process of building operating system instances on demand. Nowadays, container technology, especially Docker technology, is widely used in power systems, but the container manages resources through the kernel C-groups, use namespace to limit the resource visibility of the application in the container, making isolation not as high as traditional virtual machines, this will make the container less secure. And the namespace is currently not perfect, there are still many problems in the deployment configuration of the container. These are also important factors that threaten the security of containers. This paper combines MNT file name/directory randomization technology, access control based on user trust, and CP-ABE algorithm with trusted timestamp verification, dynamically assigning access keys to users to restrict users’ access to resources.
Estimating word co-occurrence probabilities from pretrained static embeddings using a log-bilinear model

I investigate how to use pretrained static word embeddings to deliver improved estimates of bilexical co-occurrence probabilities: conditional probabilities of one word given a single other word in a specific relationship.Such probabilities play important roles in psycholinguistics, corpus linguistics, and usage-based cognitive modeling of language more generally.I propose a log-bilinear model taking pretrained vector representations of the two words as input, enabling generalization based on the distributional information contained in both vectors.I show that this model outperforms baselines in estimating probabilities of adjectives given nouns that they attributively modify, and probabilities of nominal direct objects given their head verbs, given limited training data in Arabic, English, Korean, and Spanish.
Research on Investment Decisions of Open-ended Funds Based on Decision Tree, RF and LGBM during COVID-19

Since the onset of COVID-19, global economic development has not been as good as it used to be, so more and more people are looking to earn more money by investing besides working.The open-ended fund has a broad market.In addition, open-ended funds have many options.It is appropriate for all types of people with varying levels of risk tolerance and investment ability.During the pandemic, the risk resistance of investment products is always one of the most important factors for people to consider whether to invest.Therefore, this paper aims to screen open-ended funds with good risk resistance during the epidemic through machine learning.In this paper, the anti-risk ability of funds is determined according to the annual return rate of each fund since the epidemic.Ten indicators such as Sharpe ratio and Treynor performance measure are used to measure the anti-risk ability of funds during the epidemic from two dimensions including funds and fund managers.Then decision tree, random forest, random forest optimization model, LGBM model are established.It uses these models to predict the fund's anti-risk ability.Finally, the author finds the best model according to the accuracy.The LGBM model has the highest prediction accuracy, 93.5% of the fund's risk resistance ability types, and the model's prediction accuracy rate of excellent funds is 71.43%.
Bibliometric analysis of terminology in the domain of E-librarianship

The key findings of bibliometric analysis of document flow in the domain of e-librarianship in the science citation databases Web of Science Core Collection (WoS CC), Scopus, Google Scholar and RSCI are presented, i.e. keywords identification, output data analysis, summarizing and conclusions. These indicators enable to assess quantitatively the document flow in the domain. The general conclusions are made: Scopus leads in the distribution by years; in WoS and Scopus, for publication types, «Article» leads, followed by «Proceedings paper»/«Conference Paper». The authors conclude, based on Scopus and WoS CC, that the document flow in the domain of e-library science tends to grow constantly, while the articles are making the core of this flow. The article is prepared within the framework of the State Order No. 075-00642-21-00 «Development opf the new fundamental scholarly discipline—e-librarinship» for the years 2020–2022.
Rhythms in Stone: Revealing and Augmenting the Human Presence in Mesolithic Rock Art

The prehistoric art is the result of a complex phenomenon that includes in addition to the artistic gesture a number of other characteristics. One of them is the rhythm of realization, for which a very eloquent example is the cave art from the caves of the Fontainebleau Forest in France. In order to reveal to the public the rhythmic and ritual performance of these incisions, an augmented reality (AR) application for mobile devices was designed, which allowed the user a fractal presentation of information, starting with the presentation of the geographical context, followed by the interior of the caves and then the action of the performer’s ritual. Such information augmentation about prehistoric art has a high educational potential. The “Fontainebleau CaveARt” application implemented during this research combines location-based with image recognition AR techniques and was developed with the Wikitude AR framework for JavaScript.
Learning and Evaluating Character Representations in Novels

We address the problem of learning fixedlength vector representations of characters in novels.Recent advances in word embeddings have proven successful in learning entity representations from short texts, but fall short on longer documents because they do not capture full book-level information.To overcome the weakness of such text-based embeddings, we propose two novel methods for representing characters: (i) graph neural network-based embeddings from a full corpus-based character network; and (ii) low-dimensional embeddings constructed from the occurrence pattern of characters in each novel.We test the quality of these character embeddings using a new benchmark suite to evaluate character representations, encompassing 12 different tasks.We show that our representation techniques combined with text-based embeddings lead to the best character representations, outperforming text-based embeddings in four tasks.Our dataset is made publicly available to stimulate additional work in this area.
FORMATION OF GONOSTIC LESSONS IN THE PROFESSIONAL DEVELOPMENT OF YOUNG PEDAGOGES

The article is devoted to the actual problem of professional adaptation of young teachers in the conditions of pedagogical activity in the institution of general secondary education. The purpose of the article: to define and characterize the environment of social and pedagogical adaptation of the young teacher for acquiring and further reproduction of social experience in pedagogical activity. During the research, the problem-target and system-structural methods of analysis of scientific sources were applied. That method of diagnosis (observation, questioning, questioning, interviewing, conversation) - to determine and evaluate the level of social adaptation of young teachers. The results of the study are structuring the work of the «School of a Young Teacher» at the institution of general secondary education. The main stages of formation of gnostic skills of young teachers in «School» are outlined. The basic aspects of the activity of this form of work are formulated. The possibilities and directions of «Schools» in the structure of methodical work with young teachers are determined. The influence of the «School of a Young Teacher» on the socio-pedagogical adaptation of graduates of pedagogical universities in their professional activities. In addition to psychological and pedagogical methods of the development of voluntary self-regulation, the formation of volitional qualities was carried out in the School through role-based trainings, since a person fulfills a set of social roles, which is the main means of realizing his social activity. The development of the personality of a young teacher in the sense of his volitional expression goes through the expansion of the role repertoire in the process of liberation from role-fixation. The prospect of our study lies precisely in the design of practical recommendations for the development of the four aspects of personality: physical, emotional, psychological, social and spiritual, which are defined in the normative documents of education and in human society; disclosure, understanding and perception of their essence will contribute to the formation of a successful and harmoniously developed personality.
Review on: “Android Application for Faculties of Higher and Technical Education”

Though this is an era of Information Technology, teachers have to do lots of paper work, always keeping number of copies of documents in both hard copies as well as soft copies.Though when the need arises there is always new searching and preparation of documents.Though teachers are bound to deal with academic diaries or course files filling application for leave, examination related duty, going through the time table etc.Now day's android applications are widely used in every field.The organizations that have websites, desktop applications are also prefer to easiness in functioning of various business activities.With Android applications, teachers can do various functions; vizleave management, workload adjustments, and store and view results, keep FDP/workshop records, will also have smooth functioning of daily work, store important documents, communicate within staff and also follows organizational work structure.This paper focuses on the use of Android Application for teaches in order to fulfill the expectations of institutions like UGC, NAAC etc., about making use of ICT in teaching-learning process, making academic details available in electronic form.
Features of the Development of the Effective and Reflective Component of Students’ Civic Engagement at the University

The article deals with the features of the development of the effective and reflective component of civic engagement of university students after leadership training.The characteristics of the levels (insufficient, initial, sufficient and creative) of the effective and reflexive component of the inquired quality are presented.During the search phase of the pedagogical experiment, we determined the pedagogical conditions that should positively affect the efficiency of the formation of civic activity of university students.These conditions include: reliance on the internal needs of the student, the use of modern ICT, the content and methodological support of the work of student supervisors, the organization and conduct of leadership training.The dynamics of the levels of the effective and reflexive component of student civic engagement before and after the formative experiment are clearly illustrated.The content and characteristics of the levels of civic engagement (insufficient, initial, sufficient and creative) are defined.
PATHFINDER MEMBANTU PENELITI MEMPEROLEH INFORMASI SECARA CEPAT

Pathfinder atau panduan pustaka adalah salah satu alat bantu bagi pemustaka untuk memperoleh informasi secara cepat, mandiri, dan dirancang untuk membimbing pemustaka pada tahap awal penelusuran. Tujuan pathfinder membantu pemustaka yang akan mencariinformasi mengenai masalah khusus tetapi belum memahami dan mengenal sumber informasidi perpustakaan. Pathfinder memuatsumber-sumber bibliografi yang berhubungan dengansubjek tertentu yang berasal dari buku, makalah, terbitan berkala, sumber referensi, website,audio visual, dan sebagainya. Informasi yang dimuat pada pathfinder: judulpathfinder, ruang lingkup, jenis sumber informasi, judul sumber informasi, deskripsi fisik, nomor panggil, anotasi,dan lokasiPathfinder or library guide is one of the tools for users to get information quickly and independently.Pathfinder is designed to guide users in the early stages of search. Pathfinder objectives helpusers who do not understand and know the source of information in the library when to findinformation about specific problems. Pathfinder contains bibliographic sources related to certainsubjects that come from books, papers, periodicals, reference sources, websites, audio visuals,and so on. Information that contained in the pathfinder are pathfinder title, scope, type of informationsource, source title information, physical description, call number, annotation, and location.
ENHANCING STUDENTS PROFICIENCY in WRITING EXPOSITION PARAGRAPH THROUGH COLLABORATION

This study aims at enhancing students’ writing exposition paragraph through collaboration by utilizing Google Docs and peer-review technique. Based on the findings in preliminary research, students got difficulties in writing. The subject of this research is the fourth semester students of English Study Program of Widya Dharma University Klaten. Data showed from the pre-test, the students’ skills in each writing aspects are still low, namely organization (62%), content (65%), syntax/grammar (61%), mechanics (57%), and vocabulary (66%). The techniques of collecting the data in this study are observation, interview, questionnaire, and test. The technique of analyzing the data is using interactive model analysis from Miles &amp; Huberman for qualitative data and descriptive statistic for quantitative data. The results of the study show that there are significant improvement of students’ writing exposition paragraph viewed from mean scores of pre-test (63, 1), cycle I (68, 35), cycle II (73, 2), and cycle III (81, 55). The findings also present that teaching writing through collaboration by using peer review technique using Google Docs can improve the students’ analytical and critical thinking, self-confidence, and social relation; make students to be more active; and create meaningful learning of the class situation. &#x0D;
PENGELOMPOKAN TINGKAT KRIMINALITAS DENGAN METODE AGGLOMERATIVE DAN K-MEANS SERTA PEUBAH PENCIRINYA

The purpose of this research is it define the classification of crime rate based on the type of crime and its characterization variable. The data used in this research are secondary data in form of data on the number of crime rates based on the type of crime in 32 regional police in the province with 12 variables. This research is used Agglomerative and K-Means method along with Biplot Analysis. The result shows that there are three classification based upon Single Linkage as the best method which each characteristic of every classification is the crime of family abuse, crime of minor mistreatment and crime of corruption.
Level-Up: Learning to Improve Proficiency Level of Essays

We introduce a method for generating suggestions on a given sentence for improving the proficiency level.In our approach, the sentence is transformed into a sequence of grammatical elements aimed at providing suggestions of more advanced grammar elements based on originals.The method involves parsing the sentence, identifying grammatical elements, and ranking related elements to recommend a higher level of grammatical element.We present a prototype coaching system, Level-Up, that applies the method to English learners' essays in order to assist them in writing and reading.Evaluation on a set of essays shows that our method does assist user in writing.
A WEIGHTED ENSEMBLE OF AUTOMATIC ALGORITHMS FOR VIRTUAL MACHINE PERFORMANCE PREDICTION IN CLOUD

In cloud computing virtual machines are hosted on a shared computing platform, which compete for resources such as CPU, I/O and Network Storage.Predicting resources usage in cloud environment is a challenging problem due to varying characteristics of workloads running on cloud.Each virtual machine resource usage can be characterized as steady, trend, seasonal, cyclic or bursty pattern.Manually it is not feasible to fit the Predicting models for each of thousands of VMs running on cloud.Further different Predicting models are suitable for different type of workload.Manual selection of best model is will take too much time and complicated.In this manuscript we propose, implement and evaluate an automated technique of combining the Predictions from multiple non-overlapping time series Predicting methods.The objective is to improve accuracy and robustness of the predicting algorithm.The results show that proposed technique is successful in Predicting with better accuracy, irrespective of workload type and without any manual intervention.
Regarding the influence of the method of the action on the intonations of the actor's scenic speech

Purpose of Research. The purposes of the article are to analyse the problems of the verbal action of the actor on the stage and to research the way to overcome the recitation and falsehoods, using the author's stage experience, based on the system of P. M. Yershov views. Methodology. The methodology of the papers consists in the application of analytical, art history, functional, systemic methods to study the ways of verbal action in the process of the actor’s stage motions. Scientific Novelty. The scientific novelty of the article is to use the author’s personal experience of the playing at the various Ukrainian theatrical scenes to determine the efficiency of the various techniques and methods of acting stage speech. Conclusions. The way of the action always affects the intonation, because words, phrases are pronounced aloud and for a certain purpose. Its influence is greater and more active if the one who speaks, seeks to achieve his/her goals. It can remain unnoticed only in cases of sluggish, indefinite pronunciation. For example, an uninterested reading aloud to someone else's text means the lack of the vision of the text. Therefore the intonations will be determined by the logical modeling of the phrase. However, it is unlikely to be relief in this case. Consequently, the development of «intonation skills» includes the training of the imagination – the ability to see figuratively what you are talking about; the development of the diction words and phrases, and the skills to use the methods of the verbal action. They are three levels or three interacting parts of the entire working structure. Their defect leads to the defect of the verbal action skills, which inevitably spoil the intonation colors of the actor’s speech on the stage.
Morphological and biochemical profile of anaemia- Does it help a step further in under diagnose cases in a hospital based study

Introduction: Anaemia is one of the preventable disease burden worldwide, especially in developing nations like India. There are varied aetiologies for anaemia; Iron deficiency being the most common cause. Age, sex, geographical and comorbid factors play important role in the morphological patterns of anaemia. Anaemia, if undetected can cause morbidity and mortality which can be prevented. Aims and objectives: To identify morphological patterns and severity of anaemia in patients of all age groups andcorrelate the findings of automatic hemoanalyser, peripheral smear and biochemical parameters like iron studies, vitamin B 12 and folic acid; to correlate these findings with age, sex, morphological type and to find out the commonest pattern. Materials and Methods: This cross sectional study comprised of 300 anaemic patients over a period from December 2015 to July 2017 in Mahatma Gandhi Medical College and Research Institute, Pondicherry. Results: In our study of 300 cases, microcytic hypochromic anaemia was the commonest anaemia in all age groups (66%), followed by dimorphic anaemia (23%). Also, prevalence of microcytic hypochromic anaemia was highest in our study (p value