Reviewerly/exHarmony huggingface dataset:
Variations in Line Quality of Handwritten Strokes Due to the Photocopying Process- A Preliminary Study

An examination of the line quality of handwritten strokes plays an important role in the detection of forgery. This paper deals with the study of morphological variations in line quality of multi-generation photocopied handwriting (up-to the fifth generation of reproduction) produced by thirty-four different writing instruments. The purpose of the study is to find out the extent to which such line quality features are dependent on the nature of the writing instrument used to prepare the original, as well as the possibility of their survival (or distortion) and, consequently, their detection in the multi-generation photocopies. The overall effect of writing instrument on morphology is seen and felt in varying degrees in photocopier reproductions of all the five generations. Pen characteristics, such as striations, ink gooping, pen skips, ink bleeding/ feathering, nib marks and lead particle deposition have caused a significant difference in the morphology of stroke’s line in photocopy. The effect is much more pronounced in some of the features in photocopies beyond the second generation. There are other features, such as ink feathering and pen skips which could not be reproduced with sufficient clarity in any photocopy generation.
Evaluation Performance of ELK Reasoner for Semantic Ontology Based Heterogeneous Data Framework in E-Learning Environment

Distributed systems on learning environment are becoming greater complicated in terms of heterogeneity data problem, Heterogeneity on learning environment occurs when every individual learning application or system represent the same data and information but in very different data formats.This leads to increased data integration problem on learning environment.Semantic ontologies are a key concept that helps to solve heterogeneity data problem on learning environment.The aim of this research is to evaluate the performance of ELK reasoner based on OWL 2EL that using the consequences algorithm on heterogeneity data of e-learning environment.The results of experiments prove the ability of ELK-reasoner to solve the problem of semantics heterogeneity when integrating several independent databases into E-Learning environment where data was retrieved effectively and integrated.
Blockchain-based electronic time stamps and the eIDAS regulation: The best of both worlds

Blockchain technology, introduced in the Bitcoin blockchain in 2009, can be used to ensure the integrity of data using a distributed consensus algorithm, executed by a potentially large number of participants.A variety of blockchain applications have been proposed in recent years.The distributed nature of blockchains is advantageous in many respects, but can be challenging from a legal and regulatory perspective.The European eIDAS regulation, for example, regulates trust services-but it assumes these services to be provided by individual trusted entities instead of multiple collaborating parties.We show how a particular eIDAS service, (qualified) electronic time stamps, can be seen as competing with blockchain technology.Both concepts can be used to provide proof of the existence of specific data at a certain point in time.On this basis, we explain to which extent a combination of both concepts is possible and useful in practice.This is founded on both technical and legal arguments.If the combination gains practical relevance, it may endanger a business model of trust service providers, possibly necessitating action by the state.
Formation of social intelligence of future tactical officers

The article focuses on changing the social requirements for the system of military training of officers. It is proved that the training of highly qualified military specialists depends not only on their intellectual abilities, but also on the ability to establish and maintain contacts with people, correctly understand the emotions and information they transmit, which makes it especially important to form social intelligence. A thorough analysis of theoretical and practical scientific research of the concept of "social intelligence". In order to determine the level of social intelligence of future officers of the tactical level, a study of the initial level of social intelligence and clarified a number of conditions that in higher education institutions with specific learning conditions do not contribute to the harmonious development of social intelligence of future officers. It is proved that the methods of active training and education in the conditions of innovative approach to the organization of educational activity in a higher educational institution help to increase the efficiency of formation of social intelligence of future officers.
The game technology use for the various fields’ specialists training

The article considers game learning technologies that can be used in higher education institutions. The expedient methods for training different specialists, like managers, teachers, lawyers are analyzed. There is paid attention to the training of critical infrastructure specialists who will apply their knowledge in rescuing people.
Potential of Social Science Outdoor Learning Laboratory in Singgahan District, Tuban

The purpose of this study is to (1) identify the strengths and weaknesses of the locations that become "Karst Geoparks" as IPS outdoor learning laboratories (2) identify opportunities and obstacles from locations that become "Karst Geoparks" as IPS outdoor learning laboratories.This research is descriptive quantitative through direct field observations, Forum Group Discussion (FGD) activities, questionnaires, and documentation.The research was conducted in the "Geopark Karst" area of Singgaha-Tuban District as an area for the Social Sciences outdoor learning laboratory.The research subjects were 40 teachers who were members of the Social Sciences MGMP in Bojonegoro and Tuban Regencies.A total of 40 social sciences teachers have visited locations that become social sciences outdoor learning laboratories.The data analysis technique in this study is to examine all data from various sources, both from the results of questionnaires, field observations, personal documents, and official documents.The data is processed through data grouping, classification according to the order of problems, and classification of internal and external factors as well as analyzing supporting and inhibiting factors.After that do the strategy preparation using SWOT analysis.The potential for developing outdoor learning in Singgahan-Tuban District based on SWOT analysis is in quadrant I, the potential recommendations are given are progressive.The most supportive internal factors are outdoor learning locations close to each other in one sub-district and the many variations of population adaptation to the phenomenon of karst topography.The most hindering external threat at the moment is the ongoing COVID-19 pandemic which can stop all outdoor learning activities.
A Novel Attendance System based on face recognition using Haar-cascade and SVM

Automated Face Recognition technology (AFR) has led to numerous advancements in the ever-changing world. Smart Attendance utilizes real-time Face Recognition as an actual-world solution that is integrated with everyday activities that help manage students' attendance. For this Automatic attendance system. LBPH and Haar-cascade are used to recognize and detect the image with low-rate error accuracy and for fast calculation of the image recognition. In this process the images were captured from the surveillance and recognized with low error rate.
The Difference of Effectiveness Between Online and Offline Class

Due to the advanced technology, online classes provide students with the flexibility of studying in any place with wifi and enable students to connect with teachers far away.The convenience that online classes bring leads to the prediction that online classes would replace the traditional form of study, which is studying in a physical classroom.During the eruption of the pandemic COVID in 2020, schools in many parts of the world temporarily transferred from physical classes as the main way of teaching to online classes as the only way of teaching.Students' feedback towards the efficiency of online classes and physical classes would help improve the educational system.In this study, online questionnaires are distributed to students who both have the experience for physical courses and online lessons experience during COVID in 2020.Feedbacks are collected to compare the efficiency between online learning and offline teaching; factors that influence the efficiency difference are analyzed; suggestions are given for having better studying experience.
Segmented Actor-Critic-Advantage Architecture for Reinforcement Learning Tasks

The article focuses on experiments with a multi module neural networks type of architecture for neuron-like machine used in reinforcing learning. This type of architecture can be used to solve complex robotic or policy optimization tasks and allows segmented storage of trained memory. Such technique speeds up the training process compared to existing actor-critical algorithms.
Development of E-Learning with Whiteboard Animation Media Using Reading, Questioning Model and Answering (RQA) to Improve Learning Results and Student Motivation in the Department of Tadris Biology in IAIN Batusangkar

Based on preliminary investigation data by interviewing animal structure lecturers and students from IAIN Batusangkar, it is known that there are obstacles in animal structure lectures, one of which is related to the learning media used, so students have difficulty understanding lecture material. The difficulty felt by students was that almost every animal structure material was difficult to understand, especially the reproductive system material so students had difficulty illustrating images on the reproductive system material. This study aims to produce whiteboard animation learning media using the RQA model on valid, practical, and effective reproductive system materials. This type of research is development research using the plomp model which consists of three phases, namely the preliminary research phase, the design and prototyping phase, and the assessment phase. The research data were obtained from validity, practicality, and effectiveness tests. The results obtained in this study, namely the results of validation by the validator showed a value of 87.85% with very valid criteria. The results of the practicality assessment by the lecturers showed a value of 93.50% with very practical criteria and the results of the practicality assessment by students getting a score of 89.58% with very practical criteria. The results of the effectiveness test showed a significant increase in the learning outcomes of the knowledge aspect and could increase students’ learning motivation. Based on the values ​​obtained, it can be concluded that the whiteboard animation media using the RQA model on the reproductive system material is very valid, very practical, and very effective to use in the learning process.
Application of PLS SEM in Evaluations of Mathematics Statistics II Course Online Learning

The impact of the COVID-19 pandemic on the education sector includes the learning system that cannot be conducted directly (offline). With the change in the learning system, it is necessary to evaluate whether the implemented online learning system can run well and provide results as expected. The level of student satisfaction is one of the factors that can be used to evaluate online learning. This study analyzed the student satisfaction level with online learning for the Mathematics Statistics II course at the Mathematics Department of Andalas University, related to service quality by lecture and the level of student understanding. Data analysis was conducted using causal modeling, namely Partial Least Square Structural Equations Modeling (PLS-SEM). By using The PLS-SEM, it is known that there is a significant and positive effect of service quality on student satisfaction in the Mathematics Statistics II course. In addition, the service quality also affects the understanding level significantly and positively. However, the level of student understanding has no significant effect on the level of student satisfaction. The coefficient of determination (R2) from the structural model of student satisfaction toward the Mathematics Statistics II course online learning is 0.774. This value indicates that the resulting model is good because it has relatively high accuracy.
KLASTERISASI MENGGUNAKAN ALGORITMA K-MEANS CLUSTERING DENGAN MENGGUNAKAN INDIKATOR TOTAL DEBT TO TOTAL EQUITY RATIO, CURRENT RATIO DAN RETURN ON ASSETS UNTUK MENGETAHUI DAMPAK COVID-19 PADA 10 INDUSTRI DI BURSA EFEK INDONESIA

Clustering data is a data grouping method. This is a part of Data Mining, which is pattern extraction that interested of the big data. Clustering usually use in business intelligence, image pattern recognition, web search, field of biological sciences, and for security. Clustering is a process grouping data into clusters so that data in one cluster have the same maximum. Object in one cluster have the same characteristic between each others and different with other cluster. This research using K-means Clustering to grouping company in some industries based on available data in yahoo finance. Grouping aim to know about which good company to invest in during this pandemic. Data source financial statement in 2020 that available in yahoo finance. Analysis method using K-means clustering with software SPSS version 20. The result is 3 clusters, which is cluster 1 severely affected by covid, cluster 2 mildly affected by covid and cluster 3 moderately affected by covid. Result of analysis there is 7 companies in cluster 1, 1 companies in cluster 2, and 2 companies in cluster 3. Based on analysis result using K-means Clustering then suggested to invest on company that include in cluster 2 is Unilever Indonesia Tbk.
COMPUTER USAGE IN HIGHER EDUCATION: PSYCHOLOGICAL ASPECTS

The paper analyzes the problems of introducing the computer techno- logies into the educational process. The opportunities and weaknesses of the implementation of computer programs and ways of overcoming them are discussed. During the Covid pandemic, the usage of computer and on- line recourses in educational process has increased. Computer models have numerous opportunities and allow speeding up or slowing down the time, narrowing or expanding the distance, in the real world holding the imitations of dangerous or impossible actions, which make them indispen- sable tools for the educational process. The results of the survey of the computer usage, their forms and features in the educational process are provided. In this article we also tried to identify the actions which, in stu- dents’ opinion, could increase the role and importance of computer- mediated education.
SMART WARDROBE-MOBILE APP

Mobile application-on mobile phones, designed to work on tablets and other mobile devices software. Mobile applications operating mobile phone system can be installed in advance or at the request of the user. Mobile applications to the operating system installed on the mobile phone related App Store, Google Market, BlackBerry App World, Windows Phone Store, 1Mobile Market is downloaded directly to your phone from online stores. In on the most popular and applied mobile platforms of 2018 judging by the rating indicator-iOS, Android and Tizen. Each mobile application installed according to the phone's operating system must be written in a programming language. For example, Apple has its Swift has released a programming language so that users can edit in the operating system. Accordingly, the Android operating system of mobile devices based on the Android Studio mobile system is attached.
Geological, geochemical and fluid inclusion investigations on the Duna Pb-Ba-(Ag) deposit, Central Alborz, North Central Iran

The Duna Pb-Ba-(Ag) mine is located ca. 155 km north of Tehran in the central Alborz structural zone, northern Iran. The ore mineralization occurs as stratabound, epigenetic, E-W and WSWENE trending veins and veinlets in fracture-controlled as well as massive and open-space filling textures within a Permian dolomitic limestone host rock. Field observations as well as mineralogical and petrographic studies show dolomitization, silicification and possibly haematisation in the host rock. In the mineralization zone, galena and barite are the main minerals, followed by pyrite, quartz, chalcopyrite, tetrahedrite, sphalerite, calcite and supergene minerals such as covellite, malachite, azurite, cerussite, anglesite, and Fe-oxides. The chemical analyses of the highgrade ore samples show an average grade of 18.66 wt. % for Pb, 19.99 wt. % for Ba, and 120 ppm for Ag together with substantial quantities of Zn (0.15 wt. %), As (690 ppm), Cu (0.86 wt. %), Sb (0.25 wt. %), and Sr (0.56 wt. %). The amount of silver in some samples from the tunnel and discordant layers is up to 7030 ppm. The positive Eu/Eu⃰ ratio and the weak negative Ce/Ce⃰ anomaly in the ore samples were most likely inherited from magmatic water. The presence of minerals such as pyrite and chalcopyrite together with the co-precipitation of sphalerite and chalcopyrite suggest a high-temperature for mineralizing fluids. The homogenization temperatures of fluid inclusions from barite in concordant layers span between 135 and 165 ºC with salinities between 18.54 and 23.65 wt. % NaCl equivalent, while the homogenization temperatures of fluid inclusions from barite of discordant layers span between 113 and 285 ºC with salinities between 7.34 and 23.65 wt. % NaCl equivalent. The structural, geological, geochemical, and mineralogical studies together with the paragenesis of the ore minerals and fluid inclusion data allow consideration of the Duna Pb-Ba-(Ag) mine as a two stage mineralization scenario; 1st stage /older/MVT-type (Early Cimmerian tectonic phase), and the second stage/younger/Irish-type (Laramide orogenic movements). The structural data, high temperature of the fluid inclusions, positive Eu/Eu⃰ ratio and high silver content, especially in the discordant layers, indicate the involvement of a magmatic water mixed with meteoric and connate fluids comparable to the Irishtype mineralization in the second stage, which formed along brecciated zones of the thrust faults. The second stage of mineralization was most likely influenced by the Akapol granitoid intrusive mass, which overprinted the 1st stage/older/MVT-type.
[Redacted]: This Article Categorised [Harmful] by the Government

In April 2019, the UK Government's DCMS released its White Paper for 'Online Harms', which would establish in law a new duty of care towards users by platforms to be overseen by an independent regulator.Our earlier research outlines how we got to this point, sets out what the White Paper proposes, and criticises its key aspects.Our objections and criticism remain applicable to the UK Government's Online Safety Bill.The Parliament is now scrutinising the Bill.The House of Lords Report sparked some optimism that the scrutiny could address critical concerns around free speech in particular.The Draft Online Safety Bill Joint Committee Report, however, suggest otherwise.This paper returns to key arguments as to why risk-based regulation and duty of care are not appropriate for policing content and expression online.We focus on the human rights implications of the Bill, in particular, the provider duties to 'handle' legal but harmful content.Here, we reemphasise the vague conceptualisation and nature of this harm, as well as the inadequate duties attached to it.We argue that the independence of OFCOM cannot be guaranteed.
Gradient Boosting Machine, Random Forest dan Light GBM untuk Klasifikasi Kacang Kering

Bean seed classification is critical in determining the quality of beans. Previously, the same dataset was tested using the MLP, SVM, KNN, and DT algorithms, with SVM producing the best results. The purpose of this study is to determine the most effective model through the use of the BoxCox transformation selection feature and the random forest (RF) algorithm, as well as the gradient boosting machine (GBM), light GBM, and repeated k-folds evaluation model. The bean dataset is available on the UCI Repository website. The BoxCox transformation and repeated k-folds improved the classification prediction's accuracy. The model is used in the optimal training phase for a random forest with decision tree parameters 50 and depth 10, a gradient boosting machine model with a learning rate of 1, and a light gradient boosting machine model with a learning rate of 0.5 and estimator of 500. The best training accuracy results are obtained with light GBM. which is 99 percent accurate, but only 91 percent accurate in terms of validation. According research, the Barbunya, Bombay, Cali, Dermason, Horoz, Seker, and Sira beans classes provided accuracy values of 91 percent, 100 percent, 92 percent, 92 percent, 95 percent, 94 percent, and 84 percent, respectively.
A Study on Problems and Solutions in Elementary English Online Class

The outbreak of corona virus pandemic posed serious problems not only to health and economics, but also to education systems all over the world.Amid COVID-19, both teachers and students were forced to undergo a radical shift as the use of online technology has no longer become optional to them.Under this circumstance, language teachers may find that their professional identity has been confronted and challenged.This paper aims to examine the problems and solutions of the primary English online class brought about by Covid-19 pandemic.First, the most frequently mentioned reason for the ineffectiveness of primary English online classes is that teachers cannot immediately understand their students' situations and provide the necessary guidance.If appropriate technology is in place, individualized learning can produce effective and the efficient English learning and communicate in various ways.Second, while presenting the need to build an integrated platform as a remote class improvement task, there is a need to ensure diversity and scalability of the content and methods of teaching-learning activities.Third, teachers are expected to continue to offer positive opinions on the continued use of online classes after Covid-19 pandemic, expanding the form of class models that utilize self-directed software using artificial intelligence(AI) or link online and offline.
Google Drive sebagai Alternatif Penyimpanan Arsip Digital Dokumen Akreditasi Perpustakaan (Best Practice Pada Perpustakaan IAIN Salatiga)

Google Drive is used as an alternative for storing digital archives for library accreditation forms at State Institute of Islamic Study (IAIN) Salatiga Library. This study uses a qualitative descriptive approach with the methods of observation, interviews and documentation. The informants in this study were the head of the library and librarian at IAIN Salatiga. The purpose of this research is to find out how to manage digital archives accredited by IAIN Salatiga library using Google Drive. The results of this study indicate that the management of digital archives for the accreditation of IAIN Salatiga library using Google Drive is by adjusting the template for the accreditation form for the college library. The library website is a link to show digital physical evidence of accreditation forms located on Google Drive. Meanwhile, the obstacles faced in managing the archives of IAIN Salatiga library accreditation forms are technical and non-technical obstacles encountered by librarians in the implementation of the preparation of digital physical evidence of library accreditation forms.