Reviewerly/exHarmony huggingface dataset:
The Implementation of Blended Learning Using Google Application in Mathematics Learning in the Pandemic Period

&lt;em&gt;&lt;span lang="EN-GB"&gt;This study was aimed to enhance the learning innovation during pandemic so that it could still increse the activeness of learning mathematic even though the teacher and the student rarely face to face. The design of this study was classroom action research with four stages, as follows: planning, acting, observing, and reflecting. These stages was done in two cycles since the percentage of students’ activeness in the second cycle has achieved the predetermined succes indicator which was &amp;gt;80%. Each cycle focused on the rule of sine and cosine materials. This study was done in Al Azhar Syifa Budi Solo Senior High School. In this study, the researcher acted as the subject of the class action, while the students of X MIPA Tahfidz as the subject of the class action recipient. The data analysis was done in descriptive way. Based on the observation before the action done, the percentage of students’ activeness was 45,8%. In the first cycle, the percentage improved 17% which was 62,8%. In the second cycle, the percentage improve again to 83,34% (has achieved the succes indicators). According to the result of this study, it can be concluded the implementation of blended learning by using google application can improve the students’ activeness in mathematic learning during pandemic &lt;/span&gt;&lt;/em&gt;
Transmission Mechanism of Globalization and Its Impact on Human Welfare Development in Sub-Saharan African Countries

The increased intensity of globalization across borders integrated the sub-Saharan African (SSA) countries into the world economy as shown by the increasing degree of trade openness (from 55.4% in 1980–1984 to 65.6% in 2000–2015) and foreign direct investment as a percentage of GDP (from 0.3% in 1980–1984 to 2.85% in 2000–2015). The quality of life of the people in the region improved marginally regarding access to basic needs. However, the effects of globalization on access to basic needs such as water, sanitation, healthcare services have received little attention. Thus, this study investigates the impact of globalization on human welfare in sixteen SSA countries over the period 1980-2015. Using a panel fixed effect approach, the findings revealed that globalization through its various channels (trade openness, capital and financial flows and labour mobility and information technology), improves human welfare indicators in sub-Saharan Africa. However, the low level of good governance in the region deteriorates the development of human wellbeing. Thus, there is a need to improve the quality of overnance to enhance the welfare of the people through global interactions.
Knowledge Sharing for Enhanced Performance in the HEIs Using a Conceptual Framework

Knowledge sharing is an essential management practice that provides a sustainable competitive advantage in a vibrant and dynamic economy (Kaur, 2019). To achieve an enhanced performance in the Higher Education Institutions (HEIs), it is essential to make sure that the teaching and learning system is determined by knowledge sharing approach (Nair and Munusami, 2019). The Higher Education Institutions are required to consider how they could better share knowledge from experts who have it to learners who need to get the best of such expertise (Darling-Hammond et al., 2019). This study examines the knowledge sharing behaviour among academics and leaners in the HEIs by providing a better understanding for their enhanced performance. This is aimed to comprehend the individual acts of knowledge creation and the collective efforts of knowledge sharing adapted in the HEIs towards continuous improvement. A literature review is carried out to propose a conceptual framework of knowledge sharing for enhanced performance in the HEIs.
Library E-Learning

This paper analyzes the state of learning spaces as they impact library education. Specifically, it reviews the literature about current trends in designing learning environments that facilitate e-learning. The report also lists cited examples of good practice in contemporary school library e-learning spaces.
Fun Cooking to Increase Early Childhood Learning Motivation During Covid-19 Pandemic

This research is considered important to describe learning motivation in Early Childhood from home during the outbreak of the Coronavirus.Fun cooking activity is one of the activities that are useful for early childhood in reducing canned food produced abroad by cooking healthy food at home with family.This learning method is also interesting to increase learning motivation in early childhood.As an education and curriculum consultant in implementing Merdeka Belajar (Freedom of Learning) in the face of disasters that require adherence to health regulations by studying at home, maintaining distance, a healthy lifestyle, washing hands, and checking body temperature during the Covid-19 pandemic.It can be concluded that children's motivation can be built by expressing themselves starting with a sense of being at home, communicating more closely, and appreciating the use of various learning media at home while playing Fun Cooking.
SISTEM INFORMASI PENGELOLAAN MASJID ONLINE MENGGUNAKAN METODE WATERFALL

The current management of mosque management is very much needed, especially for large mosques that have many activities as centers of worship and propaganda.Many large mosques in service to pilgrims still use manual methods, especially recitation information, pilgrimage discussions, donations and alms, Friday activities, Eid al-Fitr or Eid al-Adha and so on.Not only that but the documentation of financial statements also still uses ordinary notebooks.This is ineffective because it can result in poorly organized records that result in a lot of data being lost when the data is to be searched so it is difficult to make an accurate report.The solution to the problem must be supported by fast, accurate, and up-to-date information, so a web-based mosque information system needs to be prepared that can be accessed by worshipers and mosque administrators everywhere.The method used in this study uses the waterfall method through several stages of activities including data collection, observation, and interviews with the caretakers and worshipers of the mosque.The results obtained by the online-based mosque include information on the profile of the mosque, various mosque activities, mosque construction or renovation funds, a list of mosque administrators and a list of donors, both permanent and non-permanent.The web-based online mosque management information system enables the DKM to be more effective and efficient in terms of managing financial reports, delivering information to pilgrims, and can even be used as a means of receiving online donations.
Automatic Thai Finger Spelling Transcription

This article explores a transcription of a video recording Thai Finger Spelling (TFS)—a specific signing mode used in Thai sign language—to a corresponding Thai word. TFS copes with 42 Thai alphabets and 20 vowels using multiple and complex schemes. This leads to many technical challenges uncommon in spelling schemes of other sign languages. Our proposed system, Automatic Thai Finger Spelling Transcription (ATFS), processes a signing video in 3 stages: ALS marking video frames to easily remove any non-signing frame as well as conveniently group frames associating to the same alphabet, SR classifying a signing image frame to a sign label (or its equivalence), and SSR transcribing a series of signs into alphabets. ALS utilizes the TFS practice of signing different alphabets at different locations. SR and SSC employ well-adopted spatial and sequential models. Our ATFS has been found to achieve Alphabet Error Rate (AER) 0.256 (c.f. 0.63 of the baseline method). In addition to ATFS, our findings have disclosed a benefit of coupling image classification and sequence modeling stages by using a feature or penultimate vector for label representation rather than a definitive label or one-hot coding. Our results also assert the necessity of a smoothening mechanism in ALS and reveal a benefit of our proposed WFS, which could lead to over 15.88 % improvement. For TFS transcription, our work emphasizes the utilization of signing location in the identification of different alphabets. This is contrary to a common belief of exploiting signing time duration, which are shown to be ineffective by our data. HIGHLIGHTS Prototype of Thai finger spelling transcription (transcribing a signing video to alphabets) Utilization of signing location as cue for identification of different alphabets Disclosure of a benefit of coupling image classification and sequence modeling in signing transcription Examination of various frame smoothing techniques and their contributions to the overall transcription performance GRAPHICAL ABSTRACT
Emojis Are Everywhere. How Emojis Conquer New Contexts

This article first presents facts and figures about emoji use, which, as is pointed out, is by no means restricted to private everyday communication (Section 1). Next, two studies are discussed, shedding light on the following questions: on the one hand, whether emojis are indeed preferred by younger people and, on the other, which impression the use of specific emojis with positive or negative connotations leaves with the addressee of text messages (Section 2). The heart of this essay follows in Section 3—it focuses on emoji use during the COVID-19 crisis (which, at the time of writing, is still ongoing). Here, observations concerning new forms of emoji use on Facebook and in types of video chat (such as Zoom and Skype) are collected.
School Libraries in Spain

The paper will present the results of a field study accomplished during the course 2004- 2005 at Spanish school libraries (2005), where the search main purpose was to gather and analyze data on seven dimensions: its role in the school; installations: equipment and technologies; collection; staff; management and operation; uses and users; evaluations. The study concludes that, since the last report, school libraries have improved in equipments and collection but this improvement does not match with a bigger and better employ. Another aspect to point out is the scarce use of non-printed material and, specially, Internet.
Pemamfaatan Aplikasi Googleform Dalam Pembelajaran Bagi Guru Pada Masa Pandemi

The Google meet application and Google form are being studied and used by many teachers and students during the current pandemic. At this time all countries in the world are experiencing a crisis along with the entry of the Corona / Covit'19 virus which has killed many victims, even though many are still being treated with special handling in hospitals. The whole world is struggling to eradicate the virus that is currently developing. With this virus, countries around the world apply to stay at home to avoid crowds so that they can suppress this virus from developing. Many countries have locked down the place in order to suppress the development of this virus. Indonesia is one of the countries that also implements LockDown but in other terms, namely, PSBB means Large-Scale Social Restrictions. Where the Government recommends that all activities be carried out at home, one of which is in the field of education, namely school, where students can only receive learning from home and teachers also from home. This is where the use of information and communication technology is needed in carrying out teaching and learning activities. Currently, all teachers in schools must be able to take advantage of advanced information and communication technology to teach their students. The purpose of this study is to obtain an overview of the extent to which teachers in schools use or utilize information and communication technology that is currently developing using the internet in teaching and learning activities. In this study, research focuses on understanding social phenomena that occur in society.
Using Digital Technologies is Securing Private and Public Interests in Gene Research

The article is devoted to the definition of the specifics of the formation of intellectual property rights in the implementation of genomic research using technologies for the mining of big data, including in the field of circadian genetics, while respecting private and public interests.The author analyzes the regulation of the transfer and processing of personal data, including in the field of circadian genetics, the creation of new results of intellectual activity, taking into account the different approaches of scientists in the relevant fields, and law enforcement.It is proposed to legislatively provide for the power to regulate data placement, use of virtual computers and data management in the cloud, as well as fix the corresponding minimum requirements at the level of international regulation.It is concluded that, in terms of cross-border data transfer, it is advisable to use a comprehensive model of "adequate protection", "safe harbor" and "accountability" in the exchange of information between research institutes, universities and companies.It is indicated that at present, judicial practice is being formed to consider disputes related to research and certain manipulations with genetic material precisely from the position of a balance between public interests (morality) and private non-property interests (respect for private and family life), regardless of the assessment of any property interests in relation to the relevant objects.It is noted that, in the framework of further discussion, it is advisable to consider the development of a comprehensive legal regime for non-property rights to genes (including circadian genes) of a person in combination with a sui generis regime of intellectual rights.The article is of practical value not only for lawyers, but also for specialists in other fields (biology, medicine, etc.) in terms of their use of genomic information.The conclusions made by the authors are also applicable in the process of implementing legislative activity.
Towards Secure Software Engineering

Software plays a major role in the present context.Therefore more and more software solutions are developed.These software solutions are hacked due to vulnerabilities available in the software.Most of these vulnerabilities are security-related.One of the key reasons behind this is the lack of security-related knowledge among the developers.Therefore it is important to assist them during the implementation stage.There are static analysis tools to assist them but these tools have a high concern on code quality and the architecture while having less attention for code security.Due to all these, it cost a lot during the maintenance phase to overcome the security-related issues.The suggested solution is a combination of three modules.Module one will rank the threats identified by the Microsoft Threat Modeling Tool in the design phase.Module two is an IntelliJ plugin which will assist the Java developers to maintain software security with respect to fifteen selected CERT guidelines.Module three will compare the design and the implementation while considering the inputs from the other two modules.
Grouped Secret Sharing Schemes Based on Lagrange Interpolation Polynomials and Chinese Remainder Theorem

In a <math xmlns="http://www.w3.org/1998/Math/MathML" id="M1"> <mfenced open="(" close=")" separators="|"> <mrow> <mi>t</mi> <mo>,</mo> <mi>n</mi> </mrow> </mfenced> </math> threshold secret sharing (SS) scheme, whether or not a shareholder set is an authorized set totally depends on the number of shareholders in the set. When the access structure is not threshold, (t,n) threshold SS is not suitable. This paper proposes a new kind of SS named grouped secret sharing (GSS), which is specific multipartite SS. Moreover, in order to implement GSS, we utilize both Lagrange interpolation polynomials and Chinese remainder theorem to design two GSS schemes, respectively. Detailed analysis shows that both GSS schemes are correct and perfect, which means any authorized set can recover the secret while an unauthorized set cannot get any information about the secret.
Features Selection for Entity Resolution in Prostitution on Twitter

Entity resolution is the process of determining whether two references to real-world objects refer to the same or different purposes. This study applies entity resolution on Twitter prostitution dataset based on features with the Regularized Logistic Regression training and determination of Active Learning on Dedupe and based on graphs using Neo4j and Node2Vec. This study found that maximum similarity is 1 when the number of features (personal, location and bio specifications) is complete. The minimum similarity is 0.025662627 when the amount of harmful training data. The most influencing similarity feature is the cellphone number with the lowest starting range from 0.997678459 to 0.999993523. The parameter - length of walk per source has the effect of achieving the best similarity accuracy reaching 71.4% (prediction 14 and yield 10).
Extended of TEA: A 256 bits block cipher algorithm for image encryption

&lt;p&gt;This paper introduces an effective image encryption approach that merges a chaotic map and polynomial with a block cipher. According to this scheme, there are three levels of encryption. In the first level, pixel positions of the image are scuffled into blocks randomly based on a chaotic map. In the second level, the polynomials are constructed by taking N unused pixels from the permuted blocks as polynomial coefficients. Finally, the third level a proposed secret-key block cipher called extended of tiny encryption algorithm (ETEA) is used. The proposed ETEA algorithm increased the block size from 64-bit to 256-bit by using F-function in type three Feistel network design. The key schedule generation is very straightforward through admixture the entire major subjects in the identical manner for every round. The proposed ETEA algorithm is word-oriented, where wholly internal operations are executed on words of 32 bits. So, it is possible to efficiently implement the proposed algorithm on smart cards. The results of the experimental demonstration that the proposed encryption algorithm for all methods are efficient and have high security features through statistical analysis using histograms, correlation, entropy, randomness tests, and the avalanche effect.&lt;/p&gt;
The Effect of the Number of Key-Frames on the Facial Emotion Recognition Accuracy

Facial expressions Fuzzy C-Means algorithm Graph-based Substructure Pattern (gSpan) algorithm Key-frame selection
Sistem Pakar dalam Mendiagnosis Penyakit Mata dengan Menggunakan Metode Forward Chaining

The eye is one of the organs in the body that has an important role in human life, because the eye is one of the organs that has a function as vision in carrying out every activity. Eye health really needs to be maintained by diligently consulting or having your eyes checked by a doctor so that vision remains clear and there are no eye problems when looking at objects around us. However, eye health is often neglected, so that many various diseases can attack the eye. If not handled properly, diseases that attack the eye can cause visual disturbances and lead to blindness. Therefore, the eye must be kept healthy and kept clean because it is a very important organ of the human body. The purpose of building this expert system is to assist the public in diagnosing eye diseases from the symptoms that are being felt. This expert system will be a way out of eye problems that are suffered by the community, In this way people no longer have trouble going to the doctor. All data and facts to be processed are obtained from an expert, the method used in diagnosing this eye disease is the forward chaining method to apply the rules of the 28 symptoms and 8 diseases described by the expert. The results of the diagnosis using the Forward Chaining method is a very good level of accuracy in determining the type of eye disease that is suffered by the community and can provide early prevention for users who use this expert system.
Estrategias metodológicas para mejorar el trabajo cooperativo en estudiantes de educación secundaria, Cajamarca 2020

1
The Impact of Marketing Innovation on Customer Satisfaction in Aqaba Special Economic Zone Authority

The aim of this study was to explore the effect of marketing innovation on customer satisfaction in Aqaba Special Economic Zone Authority.Also, the study involved the effect of each one of the elements of marketing innovation (innovation in marketing, innovation in performance, innovation in culture and innovation in product) on the customer satisfaction level.A special questioner was developed to collect the data from (110) person, valid questioner was (102), which considered to be (92.7%) of the participants.The result of analysis of the data by using SPSS 21 program; indicated that there was a statically significance strong positive relationship between customer satisfaction and marketing innovation, so (41 %) of the customer satisfaction might be explained by marketing innovation.And the strongest significance relationship in relation to the elements of marketing innovation was the relationship between innovation in performance and the customer satisfaction, while the innovation of marketing was in the second degree.The current study recommend to the Aqaba Special Economic Zone Authority to enhance the innovation of culture in between the employees to improve their customer satisfaction levels.
Upaya peningkatan hasil belajar siswa dalam pembelajaran daring melalui penerapan model problem based learning siswa kelas IV SD Negeri Sambeng tahun 2020/2021. Jurnal Kualita Pendidikan

The purpose of this study was to improve student learning outcomes through the Problem Based Learning learning model for fourth-grade students of SD Negeri Sambeng. The type of research used is PTK. The research subjects were grade IV students. Data collection techniques using tests and observation results. The data analysis technique used is in the form of qualitative data and quantitative data. Pre-action learning outcomes of students who passed were only 5 students with a percentage of 33.33% then in cycle I increased to 7 students with a percentage of 46.67% and in cycle II increased to 12 students with a percentage of 80%. Thus, the application of the Problem Based Learning learning model can improve the learning outcomes of fourth-grade students of SDN Sambeng.