Reviewerly/exHarmony huggingface dataset:
Karachay-Balkarian Novel: Distant Reading Practice

The article for the first time tests some methods of distant reading on the material of KarachayBalkarian novels. The object of the study is the texts of 55 fiction works in the Karachay-Balkar language (mainly novels). Based on the analyzed texts, as well as some related meta-information, conclusions are drawn about the dynamics of publication activity in relation to Karachay-Balkarian novels - in particular, an unprecedented decrease in such activity since 2011 is indicated (only two published novels were found during this period). For the first time, the method Delta for calculation of intertextual distances (together with tree-like clusterization) was applied to the samples of Karachay-Balkarian literature, once again confirming its high efficiency. In addition to the unmistakable attribution of the analyzed texts, the generated tree structure is characterized by the presence of two branches (Karachay and Balkarian), as well as two sub-branches within the Balkarian branch. At the same time, intraBalkarian dialects are not revealed on the tree. The chronological principle has been found: the work located the furthest on the tree from the other works of the same author is always published either earlier than all the others, or later than all the others.
Search Space Reduction in Farsi Machine-printed Sub-words Recognition by using Biometric Minutia Features

Search Space Reduction in Farsi Machine-printed Sub-words Recognition by using Biometric Minutia Features
AES algorithm to find privacy-preserved item on cloud storage data

Frequent itemset mining, which is the essential operation in association rule mining, is one of the most widelyused data mining techniques on massive datasets nowadays. With the dramatic increase on the scale of datasetscollected and stored with cloud services in recent years, it is promising to carry this computation-intensivemining process in the cloud. Amount of work also transferred the approximate mining computation into theexact computation, where such methods not only improve the accuracy also aim to enhance the efficiency.However, while mining data stored on public clouds, it inevitably introduces privacy concerns on sensitivedatasets.
Requirements for event-driven architectures in open BIM collaboration

Current practice of BIM-based collaboration relies on the exchange of entire domain models, which are managed and shared using Common Data Environments. Such platforms are well standardized in terms of states, roles, and participants. However, the coordination of changes by exchanging entire models requires manual identification of any added, modified, or deleted information from one shared version to another. This paper proposes the application of an eventdriven system architecture, which is in widespread use in modern communication systems. Combining the publish-subscribe design pattern, patch-based update mechanisms for BIM models, and the established concept of asynchronous, decentralized collaboration in BIM projects can significantly ease the process of understanding design changes and reduce the overall overhead of information already shared in previous versions among project members.
End-to-end multiple modals deep learning system for hand posture recognition

Multi-modal or multi-view dataset that was captured from various resources (e.g. RGB and Depth) of a subject at the same time. Combination between different cues has still faced to many challenges as unique data and complementary in-formation. In adition, the proposed method for multiple modalities recognition consists of discrete blocks, such as: extract features for separative data flows, combine of features, and classify gestures. To address the challenges, we pro-posed two novel end-to-end hand posture recognition frameworks, which are integrated all steps into a convolution neuronal network (CNN) system from capturing various types of cues (RGB and Depth images) to classify hand ges-ture labels. Both frameworks use the Resnet50 backbone that was pretrained by ImageNet dataset. We proposed a novel end-to-end multi-modal frameworks, which are named attention convolution module (ACM) and gated concatenation module (GCM). Both of them are deployed, evaluated and compared on vari-ous multi-modalities hand posture datasets. Experimental results show that our proposed method outperforms with others state-of-the-art techniques (SOTA) methods.
Toward Mapping an NGSI-LD Context Model on RDF Graph Approaches: A Comparison Study

A considerable number of Internet of Things deployments are isolated from specific solutions, from devices to data platforms. Standardized data models were proposed to overcome the interoperability gap between these deployments. Next generation service interfaces-linked data (NGSI-LD) is one of the proposed platforms that exploits linked data and proposes an information model and an application programming interface (API) for easy use and standard management of context information. The NGSI-LD information model is based on JSON for Linked Data (JSON-LD) as a serialization format for context information. This efficiently exploits the potential of semantics and linked open data. However, the NGSI-LD graph API and query language are still theoretically defined and limited to some preliminary works. Consequently, current NGSI-LD implementations are mainly based on traditional databases, where the JSON-LD serialization is supported but not exploited owing to the difficulties in defining and implementing new NGSI-LD based Graph APIs. One of the basic solutions is the use of an RDF store for NGSI-LD payloads because these types of databases are well defined and maintained and will not need any added effort for JSON-LD based payloads. However, the main complication at this level is the use of reification to annotate relationships. This study focused on both aspects of exploiting the semantics of NGSI-LD by proposing standardized mapping mechanisms to RDF graphs without reifying JSON-LD payloads and with respect to the NGSI-LD context model and API. Our main proposals highlight that exploiting the RDF store for processing NGSI-LD data semantically is feasible and uncomplicated. We illustrated the proposed mapping approaches with real use-case examples and a possible exploitation of semantic approaches.
SOSIALISASI PENTINGNYA MANAJEMEN KEUANGAN PERSONAL TENAGA PENDIDIK SD NEGERI No. 104274

This activity aims to help teachers at SD Negeri No. 104274 Pematang Kasih, Pantai Cermin District, Serdang Regency understands the importance of personal financial planning as well as practical things and basic principles that can be carried out in the context of these activities. Activities carried out in the form of lectures or seminars attended by 20 teachers at the school. Through this activity, it is hoped that it can provide benefits where teachers have a new understanding of the importance of financial planning process, understanding financial goals at every phase of life, financial planning life cycle, personal finance principles in planning
Золотое оруденение Нижне-Мякитского рудно-россыпного узла (Северо-Восток России)

A comprehensive study of native gold and ore mineral parageneses of the Berental intrusive-dome structure in the southeastern part of the Yano-Kolyma gold-bearing belt has been carried out. The zonality of mineralization is shown: from the central part (in the Berental stock endocontacts) with the Au-Bi-Te mineralization "style" to - As-Au (in the exocontacts of the stock) and, further, to Ag-Pb-Zn on the periphery. In the same direction changes the fineness of native gold in ores, from high and medium to low fineness. Antimony mineralization was noted at the final stage of ore formation. Vertical zoning is expressed in the silver-polysulfide type of mineralization changing with depth to sulfide-sulfoarsenide and, lower, bismuth-sulfotelluride. A rare mineral, maldonite (Au2Bi), is relatively widespread. The end-to-end ore minerals are pyrrhotite, native bismuth, and its tellurides. The obtained facts permitted to attribute the hydrothermal system of the Berental stock to the RIRGD type, i. e. to gold deposits associated with restored intrusives, which can contribute to the improvement of the methodology for prospecting and evaluation works at deposits of this type and to the discovery of large occurrences in terms of reserves.
PRIVACY PRESERVATION SCHEME OF CLOUD DATA STORAGE USING TIME-STAMPS

n this paper, we enhance the existing IM- DSSE protocol with a more secured time stamp protocol to have asecure data sharing protocol in Cloud and reduce the privacy risks involved in the system. This systemproposes a dynamic key that an adversary/attacker cannot able to predict/crack it. The dynamic Secret key isgenerated using the Time Stamp protocol. Only the approved party has the authority on having an encryptedsecret key which is generated using our proposed time stamp protocol of the client for cloud storage andupdates under the encrypted state in each time duration. An adversary cannot forge any authenticate in anyperiod even if it gets the decryption secret key by attacking the client
The Effect of Solar Activity on Stratospheric Temperature Over Iraq for Period 1948-2014

Stratospheric temperature changes are very important for climate systems through atmospheric circulation and stratosphere-troposphere coupling. The relationship between solar modulation potential SMP as a measure of solar activity and variation of temperature in upper, middle and lower stratosphere over Iraq for the period 1948-2014 (for about five solar cycles) has been presented in this study. For upper, middle and lower stratosphere we found that stratospheric temperatures decreased, this descending trend is offset by obviously descending trend in solar activity for the same period. The correlation coefficients between annual solar modulation potential SMP and stratospheric temperature have been examined at pressure levels (10,20,30,50,70 mb) that represent the upper, middle and lower stratosphere over 67 years (1948 to 2014). All levels have positive correlation. The correlation coefficient (R) in upper stratosphere at level 10 mb has been 0.4, in middle stratosphere at level (20, 30 mb) the correlation coefficient (R) has been 5.3 and 0.6 respectively. For lower stratosphere at level (50, 70 mb) R has been 0.57 and 0.68 respectively.
Using and Comparing Machine Learning Techniques for Automatic Detection of Spam Website URLs

With the developing technology, the issue of cyber security has become one of the most common and current issues in recent years. Spam URLs are one of the most common and dangerous issues for cybersecurity. Spam URLs are one of the most widely used attacks to defraud users. These attacks cause users to suffer monetary losses, steal private information, and install malicious software on their devices. It is very important to detect such threats promptly and to take precautions against these threats. Detection of malicious URLs is mostly done by using blacklists. However, these lists are insufficient to detect newly created URLs. In recent years, machine learning techniques have been developed to overcome this deficiency. In this study, URL classification was made using different machine learning techniques. In the study, 9 different classifiers were preferred for URL classification. The performances of the classifiers were compared in the URL classification process. In addition, similar studies in the literature have been comprehensively examined and these studies have been discussed. In addition, since the preparation of data sets in the natural language processing process has a great effect on the training of models, these steps are discussed in detail.
"A Study on Employee’s Perception of Organizational HR Practices and its Culture"

An organization or association's Human Resources (HR) division is generally answerable for making, placing into impact, and managing arrangements overseeing laborers and the relationship of the association with its employees.Association working society is going to characterize the worker discernment about the association and HR Practices. In the present circumstance, numerous associations are centering to establish representative well-disposed climate and working conditions. Because of the awful Culture, hostile HR practices, and Covid - 19 circumstances numerous representatives are finding employment elsewhere or they are changing their workplace from one association to another association and it's additionally someplace turning into the pattern of the representatives in the association. The company needs to understand the needs and wants of the employee so that once the employee has the job satisfaction that they require through monitory aspects or growth aspects then they can fully devote themselves towards the growth of the company. HR Department plays a major in this particular segment as they can help the employees in many ways. HR can help the employee’s growth through various training and development programs as well as giving them a creative workplace. HR needs to do all the tasks along with a touch of sympathy or empathy.There are a lot of areas that the HR department as well as the organization as a whole can look into and improve. The study conducted which such a small sample size was very helpful to understand the perception of the employee in a more elaborate manner.
Role of Electronic Components in Computing

Electronics and computer engineering is a scientific and technical field in which electronic and computer systems are studied and their use. They are related to the technical professions within which electronic devices, systems, and computer programs are realized. The past half-century has been greatly marked by the development of electronics, computing, and their application in communications, medicine, and industry. This field has become the fundamental technical infrastructure of modern society. Today, there is almost no electronic device that does not use an electronic computer, and there is also not a single computer that is almost exclusively made of electronic components. This article explores the need for electronic components in digital computing.
Analysis of Digital Literacy Ability of Students of the KPI IAIN Pekalongan Department in Facing the COVID-19 Infodemic

Covid 19 has become a global epidemic, including in Indonesia. The changing era, which is now wholly digitalized, makes it easier for humans to receive, access and disseminate information about the pandemic. The amount of data spread does not rule out the possibility of circulating news containing hoaxes, and it is even more dangerous if the report includes elements of provocation. Therefore, digital literacy skills are needed for the community, especially for students majoring in KPI IAIN Pekalongan. As KPI students, we must be wise in processing information. For this reason, the authors researched the digital literacy skills of students majoring in KPI IAIN Pekalongan regarding the COVID -19 infodemic with a qualitative method using phenomenological theory. After conducting observations and interviews, from the results of the author's analysis, it was stated that KPI IAIN Pekalongan students were familiar with digital literacy regarding news about Covid 19. However, some still wanted to share new news without the source's credibility. This is due to the lack of digital literacy, especially in disseminating information related to the issues of the Covid 19 pandemic.
Meningkatkan Manajemen Lifeskill dan Produktivitas pada Siswa SMA Muhammadiyah 8 Ciputat

A large population is an asset for a nation in improving its quality of life. However, the rate of population growth that is not matched by increases in other fields, such as the economy and other fields, results in the narrowing of employment opportunities which in turn will increase the number of unemployed. In connection with the narrowness of employment opportunities and the large number of unemployed, one of the solutions offered is to provide materials, motivation and skills to high school students. The young generation since school was given lessons, skills about entrepreneurship so that when they graduate from school, they will not only think about applying for jobs or working for other people or companies, but also thinking about how to create jobs. The method used in this Community Service is to provide knowledge, share experiences and provide motivation about entrepreneurship. To increase the life skills of SMA Muhammadiyah 8 Ciputat students, during this PKM activity, the practice of making food that is easy, tastes good and is liked by many people is also carried out. In addition, they are also taught how to properly package food, in order to increase the selling value of the food. This activity is carried out in accordance with health protocols. The results of this Community Service activity showed increased knowledge, insight, motivation experience of SMA Muhammadiyah 8 Ciputat students. In addition, it was seen that was enthusiasm from SMA Muhammadiyah 8 Ciputat students to practice making food that had been taught.
GAN Based State-of-Art Image Colorization

Abstract: This project helps you to colorize the black and white pictures and it’s done by using GANs(Generative Adversarial Networks) .GANs generally consists of a generator and a discriminator or critic which are competitive with each other. Force of GAN brings tones-generator applies tones to the perceived objects trained on, and discriminator attempts to scrutinize the color choice. They can reduce and replace the loss function with the help of the network and solves the problem of realistic colorization .It is further improvised and utilizes another sort of GAN training technique called NoGAN which is created to solve fundamental issues that seemed while trained using normal Generative Adversarial Networks composed of discriminator and a generator. The dataset used is ImageNet and the model depends on fast.ai library and also the series of evolution of improving GANs utilisation is explained.
BIMBINGAN KELOMPOK BERBASIS ONLINE DENGAN TEKNIK DISKUSI UNTUK SISWA SMP NEGERI 2 SOREANG YANG MEMILIKI MINAT BELAJAR BAHASA INGGRIS RENDAH

This study aims to obtain results from the implementation of online-based group guidance with discussion techniques for students of SMP Negeri 2 Soreang who have low interest in learning English, student responses after being given online-based group guidance for students of SMP Negeri 2 Soreang who have low interest in learning English. , as well as the problems faced by BK teachers and students when implementing online-based group guidance services for studentsof SMP Negeri 2 Soreang who have low interest in learning English. This research is a descriptive study with a qualitative approach where observations, interviews and documentation are used for data collection. In this study, the research population was taken from class VIII-H of SMP Negeri 2 Soreang, totaling 38 students, by taking a sample of 6 students. Where before the service was given, students seemed not enthusiastic about participating in learning, less active and always late in collecting assignments. The online-based group guidance was carried out in four meetings. The discussion at the first meeting discussed broad interests, the second meeting discussed interest in learning, the third meeting discussed the problems faced by students and their solutions, and at the fourth meeting evaluation and follow-up were carried out. The results showed a good impact where students were eager to learn, active in learning and discussion and able to be on time in submitting assignments.Keywords: Group Guidance, group discussion technique, student interest in english learning
The Effect Of The Role Of Parents On Learning Motivation In Based Learning Online Students In Pannara State Elementary Makassar City

This study aims to determine the influence of the role of parents on learning motivation in online-based learning for Pannara Elementary School students, Makassar City. This research is classified as Ex post facto using a quantitative approach. This research was conducted at SD Negeri Pannara Makassar City using a questionnaire instrument. The sample in this study were all students of class VA and VB SD Negeri Pannara Makassar City which consisted of 66 students with simple random sampling technique. The results of the study using descriptive statistical analysis, the average value of the role of parents is 90.83 in the very role category and the average value of learning motivation is 90.03 in the highly motivated category. Inferential statistical analysis, normality test results 0.537 &gt; 0.05 (normally distributed), homogeneity test results 0.079 &gt; 0.05 (homogeneous), linearity results 0.597 &gt; 0.05 (linear), hypothesis testing shows a sig value of 0.000, with Sig criteria (0.000) &lt; (0.05). The conclusion in this study is that there is an influence of the role of parents on learning motivation in online Pannara Elementary School students, Makassar City.
Development and Validation of Scale for Assessment of Followership among School Teachers

The teaching profession in the researcher's context is becoming a machine-like job because teachers' followership i.e. competence, commitment, courage, and selfmanagement, is least prioritized, and more focus is given only on their regularity and punctuality.Effective followership is desired among the teachers for the achievement of educational goals but ignored and resultantly, there is no scale on teachers' followership.Moreover, the followership measures particularly for teachers in the research literature are rare and the available measures lack recommended psychometric evidence.Therefore, the effort to develop a followership scale for teachers (FST) has been made.Through literature review, 55 items were constructed.Five items were discarded from the item pool having poor Content Validity Ratio i.e. below 0.42 that is estimated through the judgment of 14 experts.The items were administered using google form in the what's app groups of teachers and 346 school teachers working in high schools have responded.Exploratory factor analysis using varimax rotation and confirmatory factor analysis on AMOS-21 was performed for construct validation of the scale.The scale was finalized containing 16 items with no item representing less than 0.40 load.Subscales of followership indicate moderate correlation and the overall Cronbach alpha of the scale was estimated at 0.88.Finally, FST includes four subscales i.e.(a) Competence, (b) Commitment, (c) Courage, and (d) Self-management.The scale containing recommended psychometric properties is available for use.
Recognizing User Portraits for Fraudulent Identification on Online Social Networks

Online social networks (OSNs) are increasingly influencing the way people communicate with each other. Well known sites such as Facebook, LinkedIn, Twitter, and Google+ have millions of users across the globe. With the wide popularity there are lot of security and privacy threats to the users of online social networks (OSN) such as breach of privacy, viral marketing, structural attacks, malware attacks, and profile cloning. Social networks have permitted people to have their own virtual identities which they use to interact with other online users. It is also completely possible and not uncommon for a user to have more than one online profile or even a completely different anonymous online identity. Entity resolution (ER) is the task of matching two different online profiles potentially from social networks. Solving ER has an identification of fake profiles. The solution compares profiles based on similar attributes. The system was tasked with matching two profiles that were in a pool of extremely similar profiles.