Reviewerly/exHarmony huggingface dataset:
Intrinsic Graph Learning With Discrete Constrained Diffusion–Fusion

Graphs are essential to improve the performance of graph-based machine learning methods, such as spectral clustering. Various well-designed methods have been proposed to learn graphs that depict specific properties of real-world data. Joint learning of knowledge in different graphs is an effective means to uncover the intrinsic structure of samples. However, the existing methods fail to simultaneously mine the global and local information related to sample structure and distribution when multiple graphs are available, and further research is needed. Hence, we propose a novel intrinsic graph learning (IGL) with discrete constrained diffusion–fusion to solve the above problem in this article. In detail, given a set of the predefined graphs, IGL first obtains the graph encoding the global high-order manifold structure via the diffusion–fusion mechanism based on the tensor product graph. Then, two discrete operators are integrated to fine-prune the obtained graph. One of them limits the maximum number of neighbors connected to each sample, thereby removing redundant and erroneous edges. The other one forces the rank of the Laplacian matrix of the obtained graph to be equal to the number of sample clusters, which guarantees that samples from the same subgraph belong to the same cluster and vice versa. Moreover, a new strategy of weight learning is designed to accurately quantify the contribution of pairwise predefined graphs in the optimization process. Extensive experiments on six single-view and two multiview datasets have demonstrated that our proposed method outperforms the previous state-of-the-art methods on the clustering task.
Impact of Digital Heritage and Heritage Computing

Heritage Computing is a conception developed to preserve and nurture India’s rich heritage mirrored in various ancient literary works, scientific discoveries etc.writtenin various scripts. Through Digital medium using computers, Heritage Computing keeps this ancient works alive and available to all in most conducive manner. Heritage Computing is of great importance in country like India where multi-lingual people belonging to different religions live together with diversified cultures. India, to its credit has 22 scheduled languages, heritage &amp; classical languages along with eight hundred widely used dialects, each of these are imbibed with values. Hence preserving and passing on to future generation is a necessary.
Optimizing the Applications of Criminal Fines Against Electronic Technology Information Crime Based on the Principles of Let Punishment Fit the Crime

Currently technological developments have led to an increase in criminal acts in the field of the technology electronic information.One of them are a criminal act committed by person who manipulating data as if the transaction was authentic and has actually happened.The actor invites several other people to make fictitious transactions of buying and selling vouchers using fictitious accounts and fictitious addresses.The perpetrators used the address of a relative or a people who they known without the owner knowing it was being used for fictitious transactions, losses of up to billions of rupiah to the Tokopedia company.In the court decision of Malang city court, the perpetrator is only given imprisonment and light fines.It isn't comparable to the deeds and what is written in the laws of the technology electronic information the question arises how the application of criminal penalties that can be applied optimally and whether the criminal sanctions given are based on justice.The research of method is normative legal research and uses a statutory approach and a case approach, the research of data obtained through literature study.The conclusions results show that the use of fines in overcoming crimes in the information technology sector is not optimal.Giving punishment proportionally between action and punishment, it provides justice and provides learning for the perpetrators of other criminal acts.This study is to provide education to the public and particular to judges because they are wiser in making decisions against perpetrators of the technology electronic information.
Office of the Chief Information Officer (OoCIO) National Backup and Restore Policy

The Information Classification Policy outlines four classes of information generated by the HSE. While the Information Security Policy outlines that controls must be in place to preserve the confidentiality, availability and integrity of its information.http://hsenet.hse.ie/OoCIO/Service_Management/PoliciesProcedures/Policies/HSE_Information_Classification_Handling_Policy.pdfThe Business needs to classify the data as per policy and verify the backup option is appropriate. As the Backup and Recovery service itself is not aware of the information classification of the data been backed up, all backups are considered to be classified as Internal Information.
Procedures Experiments using Photogrammetric Method

Tangible objects are actual objects that can be touched and have a physical form. Therefore, the existence of tangible objects cannot be separated from the potential of damage and even disappearance. At the same time, tangible objects can be an essential source of research and can be a historical source that needs to be preserved. With the development of technology, objects can be recorded in digital forms, 2D Documentation, such as photos and videos, and increasingly sophisticated technology makes object recording developed in 3D Documentation. An easy method with good data quality results is photogrammetric. The implementation of the photogrammetric method has many advantages, some of which are straightforward procedures, portable equipment, and relatively low prices. This study uses a qualitative method based on photogrammetric experiments with various lighting settings and different needs. The results of this research are trying to breakdown of photogrammetric procedures that can applied according to field conditions.
Deep Universal Dependencies 2.8

Deep Universal Dependencies is a collection of treebanks derived semi-automatically from Universal Dependencies (http://hdl.handle.net/11234/1-3687). It contains additional deep-syntactic and semantic annotations. Version of Deep UD corresponds to the version of UD it is based on. Note however that some UD treebanks have been omitted from Deep UD.
Crime Prediction using Naïve Bayes Algorithm

This paper presents the detection of the crimes happening in India. The criminal offenses lead to certain punishment according to the Indian Penal Code (IPC). For particular crimes, particular sections are assigned to punish the criminal or convicts with jail terms and fines. On these pre-processed data sets, by applying the Naive Bayesian algorithm we create a predictive model which analyzes the data and helps to predict the crime type in a near future. We are using a dataset to apply the Naive Bayes algorithm to predict crimes in India.
Investigation On Information Technology's (It’s) Role In Indian Universities Academic Libraries

In India, Information technology (IT) has revolutionised organisational information activities in research and academic libraries.  India has the third largest university system, after the United States and China. Academic libraries and information centres serve as important sources of valuable records that aid in meeting society's information demands. In modern settings, these centres are frequently outfitted with cutting-edge IT tools to help in information acquisition, dissemination, and access to resources housed in remote archives that were previously unavailable. To this end, it is impossible to emphasise the role of IT in university libraries in India in serving their clients' scholarly needs. Space availability, technological know-how, skilled IT labour, finance, and maintenance culture are all factors to consider while establishing fully working IT compliant libraries. Following these considerations, the perception of IT resources and the availability of proper training for prospective users of these tools could offer substantial issues. Finally, this research paper discusses a number of issues that may have an impact on the full deployment of IT services in academic libraries. As a result, it is suggested that study be conducted to discover which of these characteristics play the most important roles in the transition from a paper-based system to a completely automated IT-driven academic library.
Pelatihan pembuatan media pembelajaran yang kreatif, efektif dan menarik pada guru sekolah dasar di SD Negeri 35 Pare-Pare

The importance of using media to support the learning process. Making learning media that is creative, effective and interesting is expected to be applied by teachers in primary schools. In the present time, the learning process is not enough if it is not accompanied by learning media. Making learning media does not have to be expensive because it is made using economical materials. Parepare 35 Public Elementary School is one of the Elementary Schools which is a partner of the UNare Parepare V campus. With the condition of the lack of knowledge of teachers at the school about the creation and use of learning media that are creative, effective and interesting. With the training in making learning media that is creative, effective and fun, it can provide knowledge and experience in making creative, effective and interesting learning media, so that the learning process can run smoothly and learning objectives can be achieved.
Capital One hacker allegedly hits other victims. Are you at risk

Paige Thompson, the accused Capital One hacker, stole data from more than 30 other companies, educational institutions and others, according to federal prosecutors.
Modelling the Language of Cyber Scammers: A Forensic Linguistics Analysis of Malaysian Illegal Investment Scheme

Over the last few years, there are growing concerns over the astronomical increase of reported cases of illegal internet investment schemes in Malaysia.Although the Central Bank of Malaysia (CBM) regulates and supervises financial institutions in order to combat illegal investment scheme through Financial Services Act 2013 (FSA 2013) and Islamic Financial Services Act 2013 (IFSA 2013), they do not protect the consumers should they choose to deal with the illegal financial service providers.The large financial losses have a negative impact fiscally on investors' socioeconomic.Hence, this study is proposed to analyse Malaysian illegal internet investment scammers' language properties to provide cyber defense for the public.Using Zhang and Wildermuth's (2009) content analysis process, this study intends to examine the linguistic strategies used by scammers in their websites to deceive their targets.This study will focus on several websites identified by CBM as the primary data source.Semi-structured interviews will be conducted with personnel from relevant government agencies.For triangulation purposes, individuals who have experienced investing and willing to share their experiences and data will be interviewed.All data will be coded and categorised, and emergent themes will be presented to answer research questions.With great hope, this study's results will help provide comprehensive public education about these scams' linguistics strategies as a strong defense against them.The results may also help the authorities develop better crime prevention methods and contribute to the criminal justice system in presenting more significant linguistic evidence in the court of law.
Convolutional and Variational Autoencoders

Autoencoders don’t typically work well with images unless they are very small. But convolutional and variational autoencoders work much better than feedforward dense ones with large color images.
New humanitarian practices for developing human potential: edutainment centers megacities of the World

The article presents a comparative analysis of the development of edutainment centers (towns of professions, science parks, museums-interactoriums) in the cities of the world. Edutainment centers, in fact, not being pedagogical centers, implement humanitarian practices for the development of children, focusing on the development of social competencies (soft-skills), self-determination competencies (self-skills), competencies of the 21st century (future-skills). In educational research from a scientific and pedagogical point of view, the educational potential of edutainment centers has not been studied. However, their importance in the development of human potential is quite large. Also, according to the indicator «innovative educational infrastructure» (including edutainment centers), the index of innovative cities in the world and the index of human development are calculated. That is, the phenomenon of edutainment centers and their educational potential is an important element of the social and educational policy of the countries of the world.
Improving Learning Outcomes Through Make and Match Learning Model for Class 1 SDN Kedunguter 02 Brebes

&lt;p&gt;&lt;em&gt;The purpose of this study is to improve the learning outcomes of students in first grade elementary school with the Make And Match learning model. The research was a two-cycle Class Action Research (PTK), with each cycle consisting of two meetings. The stages of each cycle are planning, implementation, observation and reflection. Each meeting is conducted pre test and Post test to know the development of students. In cycle I students completed after doing post test by 76%. In cycle II students who completed after carrying out the post test by 92%. These results show that the Make And Match learning model can improve the learning outcomes of students at SD Negeri Kedunguter 02 Brebes.&lt;/em&gt;&lt;/p&gt;
Word Recognition Test for Iraqi-Speaking Adults

Objective: to contribute in the development of speech audiometric test in Iraq by using Arabic-Iraqi dialectfor measuring word recognition score (WRS).Methods: sixty normal persons aged 40-65 years (30 males and 30 females) divided into six equal groups.After determining hearing thresholds (PTA) determine WRS , each list of 25 words to one group, monaurallyin the better ear at several intensities through speech audiometer by using monosyllable Alusi’s words liststhrough monitored live voice (MLV).Results: the normal speech audiometric curves of word recognition test in this study are similar to thenormal curves obtained with previous Arabic, European and American monosyllabic word lists in additionto no intelligibility differences between Alusi’s monosyllable word half-lists.Conclusion: this study suggests Alusi’s monosyllable word lists can be used in Iraqi Arabic-speaking adultsto determine WRS.
Covering Three-Tori with Cubes

Let $$\mu (\varepsilon )$$ be the minimum number of cubes of side $$\varepsilon $$ needed to cover the unit three-torus $$[\mathbb {R}/\mathbb {Z}]^3$$ . We prove new lower and upper bounds for $$\mu (\varepsilon )$$ and find the exact value for all $$\varepsilon \ge \frac{7}{15}$$ and all $$\varepsilon \in \left[ \frac{1}{r+1/(r^2+r+1)},\frac{r^2-1}{r^3-r-1}\right) $$ for any integer $$r\ge 3$$ .
A STRUCTURAL EQUATION MODELING OF FACTORS INFLUENCING EFFECTIVENESS OF ENGLISH PROGRAM SCHOOLS IN THE NORTHEAST THAILAND

The purposes of this research were 1) study the effectiveness level of the English Program schools in the northeast and the factors level influencing effectiveness of the English Program schools in the northeast 2) investigate in the relation between structural equation model of factors influencing the effectiveness of the English Program schools in the northeast and 3) study of direct and indirect and total effects factor of influencing the effectiveness of the English Program schools in the northeast. The samples were 544 directors and the head of English Program schools in the northeast, selected by simple random. The research instrument for data collection was a 5 level rating scales questionnaire about the effectiveness level of the English Program schools in the northeast and the factors level influencing the effectiveness of the English Program schools in the northeast. Validity was 0.957, the data were analyzed to obtain the mean, standard deviation, and Pearson’s product-moment correlation coefficient. LISREL applied for skewness, kurtosis, and confirmatory factors and examined the relationship between the hypothesis model and the empirical data.   The research findings were the effectiveness level of the English Program schools in the northeast and the factors level influencing effectiveness of the English Program schools in the northeast, the average is at the highest level and the model of the factors of the operational effectiveness of English Program schools in the northeast was valid and consistent with the empirical data.
Result tracking-on-cloud: a development of mobile result management system / Ng Set Foong, Foo Fong Yeng and Chong Peng Hwa

Assessment results are something private and confidential to most students. One may feel uncomfortable if his or her result is shown publicly. In most academic institutions, students’ results are displayed on a printed paper that contains the assessment of the whole class and the paper is usually posted on the notice board outside of the lecturer’s office. Students need to present personally at the lecturer’s office to check their results. Most of the time, students' names would be hidden on the paper but, students are still able to see each other’s results. Indirectly, the students’ results are not private though the lecturer does not intend to share them. In order to improve the privacy level of result management, a mobile application was programmed. This mobile application is an innovative tool that embedding the use of technology to assist students and educators in this era of Industrial Revolution 4.0. In this paper, the proposed mobile application/ app named as Result Tracking-on-Cloud (RTC) was presented. The users concluded that it is energy and time saving as they can check their results without present physically to the lecturer's office. At the same time, the privacy of students' result is secured.
Competencias socioemocionales en el contexto educativo: Una reflexión desde la pedagogía contemporánea

This essay aims to reflect on the changes and transformations generated by the educational model focused on student learning, that have impacted the teacher training. This professional training has been faced with the need to develop socio-emotional competences in teachers, as it is a relevant variable, according to different studies, which affects not only the academic performance of students, but also favors the climate in the classroom, school coexistence and citizenship training. At the present, it is possible to observe that contemporary pedagogy values the incidence that emotions have in the teaching and learning process, raising the need to generate teacher training programs in socio-emotional competences and the interest in researching four areas: The socio-emotional competences of teachers, the socio-emotional skills of students, civic and citizenship training, and skills for the development of the school climate and coexistence.
Modifying and Assessing Validity and Reliability of Motivation for Reading Questionnaire

This study aimed to describe the modification process and validity and reliability assessment of instruments regarding motivations for the reading questionnaire (MRQ) for measuring reading motivation of junior high school students in Jambi, Indonesia. Eighty-three students participated in this study, selected through the respondent who returned the questionnaires. The corrected items' total correlation of SPSS 23 was applied to examine the validity and reliability of MRQ. The corrected items' total correlation of SPSS statistical analyses showed that all of the 53 modification items of MRQ were valid and reliable. It indicated that all 53 items of MRQ were appropriate for measuring the reading motivation of junior high school students in Jambi, Indonesia. It can provide a future studies screening tool for measuring the students' reading motivation.
Study on Simulation Technology in Chemical Equilibrium Experimental Teaching

Chemical simulation technology is a new experimental method that utilizes computer programs and applications to simulate and calculate objective substances, chemical reaction processes and status. In this paper, chemical equilibrium simulation technology is applied to the experimental teaching of liquid phase reaction equilibrium in chemical basic experiments. Taking the chemical equilibrium experimental teaching of iron ions and thiocyanate ions as an example, the distribution coefficient diagram, ion activity diagram, component solubility diagram and component stable equilibrium phase diagram under double influence factors are simulated dynamically, which provides great help for students to further understand the chemical equilibrium visually. At the same time, it is helpful to determine the optimal experimental concentration of reactants and has certain practical guiding significance for the optimization of an experimental scheme in a teaching experiment.
PREDICT AND ANALYZE THE CYBER BULLED COMMUNICATION IN ONLINE SOCIAL NETWORKS

Now a day’s social media have attracted a lot of web user’s attention towards it for knowing the recent updates, share the new thoughts and exchange the latest updates throughout the world from one location to other location. As this is becoming more popular still it faces some common limitations in terms of controlling the abused or vulgar conversations from individual user account. In general cyber bullying is defined as the process of threatening a small kid or preteen by another child using the internet with some bad conversations and tries to make them feel nervous with these conversations. This is becoming a very severe problem in the current social media by afflicting the children, young adults with these rude messages. Hence we try to construct a machine learning approach for detecting the set of abused words in the conversations and try to block such conversations not to be spread to others. By using this proposed approach we can able to create a positive and safe communication in social media. Here we constructed a filter using Support Vector Machine (SVM) to filter out the abused words during communication.
Research on Data Security Audit in Cloud Computing for Big Data Environment

The modernization of industrial industry cannot be separated from the development of big data.In order to meet this challenge, cloud data integrity audit has been proposed in recent years and received extensive attention. Based on the in-depth study of the impact of different cloud storage data types on the audit scheme, this paper proposes an audit scheme based on Dynamic Hash table.Based on this, this paper explores a variety of cloud storage audit algorithms for different data types to deal with different security challenges.Facing a series of data security problems brought by cloud computing, this paper analyzes the concept, working principle and characteristics of cloud computing, and discusses the data security risks brought by cloud computing from four aspects. At the same time, this paper elaborates the data security strategy from five aspects: data transmission, data privacy, data isolation, data residue and data audit. In this paper, we propose to adopt end-to-end data encryption technology, build private cloud or hybrid cloud, share table architecture, destroy encrypted data related media, and introduce third-party certification authority for data audit.