Reviewerly/exHarmony huggingface dataset:
Data Exchange Algorithm Based on Homomorphic Encryption and Fog Computing

In traditional cloud computing, the computing of encrypted data is usually implemented on the cloud server using the fully homomorphic encryption algorithm, which is too dependent on the trust of the cloud server and the computing burden of users. In order to solve this problem, the fog computing node is introduced between the cloud server and users, and the cipher-text is calculated in the fog computing node based on the fully homomorphic encryption algorithm, Then it is stored in the ECS and sent to the authorized receiver. The authorized receiver uses his private key to decrypt and obtain plaintext to achieve a secure data exchange process. The advantage of this method is that it can ensure that the data is untrusted to both cloud server and fog computing nodes during transmission to the receiver. Even if the malicious user intercepts or cracks the re encrypted cipher-text through illegal means, the private key of the unauthorized receiver cannot decrypt any information in plaintext, which effectively improves the privacy, transparency and efficiency of data exchange. Finally, the security analysis and performance analysis show that the algorithm is feasible and effective.
The Modern Problem of Inner Personal Resource Provision for Professional Development of Future Psychologists: Motivational Aspect

The article presents a theoretical analysis of the problems of resource provision for professional development of future psychologists with an emphasis on one of its main components, namely the motivational aspect. Latter is considered from the standpoint of the phenomenological approach and the presence of existential meanings in the structure of personal professional motivation. In particular, we have specified the concept of resource provision in professional development and outlined the study relevance in the modern transformational conditions. Modern transformational society creates new conditions for professional development for specialists of socionomic professions. In particular, the requirements for the professional competencies of psychologists and their professional training are increasing. Additional complications in the professional development process are created by today’s online format of learning. This specific creates a problem of professional development motivational provision at its early stages.
Predicting Tree Structures

With a machine learning approach and less focus on linguistic details, this gentle introduction to natural language processing develops fundamental mathematical and deep learning models for NLP under a unified framework. NLP problems are systematically organised by their machine learning nature, including classification, sequence labelling, and sequence-to-sequence problems. Topics covered include statistical machine learning and deep learning models, text classification and structured prediction models, generative and discriminative models, supervised and unsupervised learning with latent variables, neural networks, and transition-based methods. Rich connections are drawn between concepts throughout the book, equipping students with the tools needed to establish a deep understanding of NLP solutions, adapt existing models, and confidently develop innovative models of their own. Featuring a host of examples, intuition, and end of chapter exercises, plus sample code available as an online resource, this textbook is an invaluable tool for the upper undergraduate and graduate student.
SISTEM INFORMASI ASET (SIMaset) BARANG DAN DOKUMEN BERBASIS WEB

Web-based asset management needs to be developed to facilitate data collection of goods and documents in higher education because it is related to data security. It is necessary to develop an online information system that is accurate and easy. This research is in the form of software development research which aims to develop a web-based SIMAset application and test the quality of the application based on the ISO25010 quality standard which consists of aspects of Functionality, Reliability, Portability and Usability. The method used is R &amp; D. The development model used in this research is Prototype. Based on the results of the research, a web-based application is produced that can be used in online college inventory management. The results of the validation test from the expert team showed that the SIMaset developed was very suitable to be used as an information system for managing goods and inventory documents. For further research, this system will develop certain menus that are tailored to the needs of asset and document archiving.
An Effective Method of Hybrid Encryption on IoT

In the real world scenario, people are using various electronics devices according to their use. These devices are connected to each other in direct and indirect manner. This connection provides communication and sharing of information and data to one and another. This overall communication system uses various technologies i.e. Internet of Things, Cloud Computing, Fog Computing and other. The communication in IoT is based on Layered Structure. This layered structure helps to transfer data in safe and secure manner. For safe and secure transmission of data over IoT, user uses encryption method, but on encryption algorithm can be easily recognized by attacker so here user uses a hybrid approach. This hybrid approach is based on AES and Transpositional Reverse Algorithm. Here Transpositional Reverse Algorithm helps the users to secure the AES encryption scheme and helps to create an efficient Hybrid scheme.
ACWFace: efficient and lightweight face detector based on RetinaFace

Lightweight face detection algorithms that typically utilize convolutional neural network to find out all faces from the entire vision range. However, compared with more accurate and heavy algorithms, the performance of existing lightweight networks is still left far behind. Toward this end, we propose a lightweight and efficient single-stage face detector, named ACWFace, which explores the effects of attention, context module, and weighted feature fusion based on RetinaFace. First, efficient dual attention module is designed to further explore the potential of channel attention and spatial attention by introducing adaptive convolution kernel. Second, extended context module and shuffled context module are proposed to enlarge the receptive field and increase the information intersection between branches. Finally, weighted-fusion feature pyramid network is utilized to solve the features fusion of different scales equally by introducing the feature fusion module. Experiments on the easy, medium, and hard datasets of WIDER FACE validation partition show that our ACWFace outperforms RetinaFace average precision by 1.0%, 1.1%, and 1.8% while it achieves a great growth of 0.6%, 6.5%, and 3.0% on annotated faces in the wild, PASCAL face, and face detection data set and benchmark datasets, respectively.
Essential Academic Journals Tend to Be of Universal Importance, While Many Journals Available on For-Profit Platforms Appear to Be Ancillary

A Review of: Mongeon, P., Siler, K., Archambault, A., Sugimoto, C. R., &amp; Larivière, V. (2021). Collection development in the era of big deals. College &amp; Research Libraries, 82(2), 219–236. https://doi.org/10.5860/crl.82.2.219 Abstract Objective – (1) Present a method of journal appraisal that combines reference list, article download, and survey data. (2) Gauge journal usage patterns across selected universities. Design – Analysis of reference lists, article downloads, and survey data. Setting – 28 Canadian universities. Subjects – 47,012 distinct academic journal titles. Methods – Download data for the 2011-2015 period was sourced from standard Journal Report 1 (JR1) usage reports as supplied by the vendors. Download figures were summed for journals that were available through multiple platforms. Reference list data (i.e., the number of times documents published in each journal were cited by authors affiliated with a participating institution) was sourced from Clarivate Analytics’ Web of Science, limiting for the years 2011-2015. An unknown number of researchers at 23 of the 28 participating universities were invited by email to complete a survey. The survey asked respondents to list the scholarly journals they considered essential for their research and teaching (up to 10 journals for each purpose). The three datasets (download, reference list, and survey data) were then merged. Duplicates and non-academic journals were removed. Journals were then grouped into broad discipline areas. A list of “core journals” (p. 228) was created for each institution. These journals produce 80% of downloads, 80% of citations, or 80% of survey mentions at each institution. A journal only had to reach the threshold in one category (i.e., in either downloads, citations, or mentions) to make it onto the core journals list. A “low” (p. 228) survey response rate meant “one mention [was] generally enough" (p. 228) for a journal to be classified as core. Main results – Fewer than 500 titles (n=484, ~1%) made it to the core journals list at all 28 universities. Two thirds (66%, n unknown) of journals did not make it onto the core list of any university. Of the journals deemed to be core, most (60%, n unknown) were shared across all institutions. On average, platforms from not-for-profit organizations and scientific societies contain a higher proportion of core journals than for-profit platforms. Notably, 63.6% of Springer journals, 58.9% of Taylor &amp; Francis journals, and 45.8% of Elsevier’s journals do not appear on the core journal list of any university. Conclusion – Libraries should consider ways to share resources and work more cooperatively in their negotiations with publishers. Further, libraries may be able to cancel entire journal bundles without this having a “sizable” (p. 233) impact on resource access.
MENINGKATKAN KETERAMPILAN TATA BUSANA MEMBUAT POLA ROK MELALUI SELF REGULATED LEARNING BAGI ANAK TUNARUNGU

The research was conducted based on problems that found in class IX of SLB Negeri 1 Ranah Pesisir, and the students GA and GE as background who felt troble about making the A Line skirt pattern . The research purposes of this action are to: 1. Determine the process of improving dressmaking skills in making skirt patterns for deaf children in class IX at SLB Negeri 1 Ranah Pesisir . 2. Improve teacher skills in developing and varying learning methods . 3. Make students to be able to make skirt patterns. This study uses self-regulated learning with a type of classroom action research conducted form of collaboration with friends. The research subjects were class IX deaf children. In this study the data obtained through observation and practical research were analyzed qualitative and quantitative. The research activity was carried out in two cycles, each cycle consisting of two meetings. The activity begins with planning, implementing of the actions, observing and reflecting. The results of the research before being given the action showed the initial ability of deaf children to make dress patterns in skirt patterns, GA got a value of 37.14%, while GE got 32.85%. In the first cycle there was an increase, GA got a value of 81.43% and GE got a value of 81.43%. In the end of second cycle, the students value be drastically increased GA scored 100% and GE also scored 100%. Based on the increase in the value in each cycle, it can be concluded that the application of self-regulated learning in children's learning of dressmaking skills can improve student’s abilities in making skirt patterns for deaf children class IX at SLB Negeri 1 Ranah Pesisir.
Attitude of men and women towards use of mobile phone

Information and Communication Technology (ICT) is a tool which benefits all spectrums of people in the world and reach millions of people every day. Recent developments in the fields of information and communication technology are undeniably revolutionary in nature. Information has become the principal determinant of the progress of nations, communities and individual. There is a potential for ICTs to purge gender discrimination and to empower women in society. But with science, technological innovations and socio-economic changes, women, even rural women, are progressively starting to utilize various kinds of technological instruments. ICTs perform as an agent to empower women, allowing them into the main torrent of society. Amongst the various kinds of ICTs the cell/ mobile phone has reached a significant place. This technology provides knowledge, social security, social networks and self confidence to rural people, An attempt has been made in this paper to explore the attitude of farmers and farm women towards the use of ICTs. This study was conducted in Sulla village of Dharwad district with a sample of 100 farmers and 100 farm women. Pre tested interview schedule was used for data collection and suitable statistical tools like frequency, percentage, means, standard deviation and t-test were used for analysis of the data. The study revealed that, more number of respondents belonged to young age, educated up to middle school, they were married, from joint families and farming was the main occupation of the respondents. The Z test revealed that there was a highly significant difference between the attitude of men and women towards use of ICTs. The analysis further revealed that, almost equal per cent of men (45.00%) and women (46.00%) belonged to low category of attitude followed by high category in men (29.00%) and medium category in women (32%).
Remote data acquisition model for abnormal operation of power equipment based on .NET technology

In order to solve the problem that the traditional remote data acquisition model can not achieve high-precision data reconstruction, which leads to low success rate of data acquisition, a remote data acquisition model for abnormal operation of power equipment is constructed based on .NET technology. According to the prediction residual results of multiple state parameters, the monitoring indexes of power equipment operation state are extracted, and the operation data of power equipment is accessed by using .NET technology, and the abnormal operation data is identified. According to the recognition results of abnormal data, the remote data acquisition model is constructed from two aspects of sparse compression sampling and reconstruction of abnormal data to ensure high-precision data reconstruction and the reliability of the acquisition results. The experimental results show that the collection success rate of the remote abnormal data collection model is 8.28% and 10.62% higher than that of the traditional collection model, which has good remote collection performance.
The Utilizing of E-learning Moodle for Learning Process of Intensive Reading at College Students in Riau, Indonesia

Utilizing e-learning with Moodle application has affected the learning process of higher education.To find out whether Moodle application is effective for Intensive Reading Course and to know the contention of students who go into Intensive Reading with Moodle.It is the great significance to know facts that influence the learning process of Intensive Reading with Moodle.The sixty-first semester students of FKIP-UIR English Language education were selected as a sample.This study mixed of qualitative and quantitative methods.Furthermore, this research used two kinds of instruments; questionnaire and interview.The result revealed that the average score of the pre-test is 4.6, while the post-test is 8.9.It shows a serious distinction the score of students' pre-test and post-test of learning by elearning Moodle.Thus, it can be said that the learning process with the Moodle application is very effective.Further, the responses of students are also strengthened positively by the interview, almost all of the students were interested, motivated, and also agreed to use e-learning Moodle in learning Intensive Reading.It is implicated that e-Learning Moodle could be used to improve students reading comprehension.Therefore the researcher ensured e-Learning Moodle could be used in the learning and teaching process in the Intensive Reading Course.
Pattern Recognition in Games

In this paper, we discuss how pattern recognition plays a vital role in games [3]. Pattern recognition is used to gather necessary details related to the gaming world and that will provide us input to the decision-making system, which produces actions for the game world [1]. Before pattern recognition how the decision is making and implementing it. We also define emotion-based recognition in affect-aware games [11]. Then we discuss the usefulness of pattern recognition in games, how and where it can be implemented and what is expected from it and how it can affect relations between the human player and synthetic player [1].
Open and Autonomous. The Basis for Trust in Science

Thank you for attending APE 2021! The content for APE will become available over the next few days after post-conference processing for audio and visual quality has been completed. Please check back next week. The First Publishing Event in the New Year! Full Unlimited Online Coverage! Was that the real beginning of the new 21st Century? Global challenges changing lives on a scale never seen before – a global pandemic, ferocious evidence of climate change and biodiversity loss, and cyber warfare influencing global leadership against a backdrop where evidence and experts are increasingly discounted in place of tribes with their own truths. Research is increasingly having to step up to meet global challenges and we need robust responses to reclaim trust in both scholarly publishing and the expertise of researchers as we map the path to the future. Covid-19 stress-tested scholarly communication and there’s room for improvement but also inspiration for change. A changing world has led to new solutions and new players – but are they robust and tested for long-term trust? Pre-prints proved a rapid way to communicate potentially crucial findings in a crisis but is the world ready to understand the implications of reading un-tested research? Peer review, the bastion of trusted science, is under scrutiny from those within and outside research and with calls for transparency and openness in science, where next for dissemination of research findings? 2021 is the start of a very new and very different period in history and we come together with purpose and a collaborative spirit. [View the Full Program](https://www.ape2021.eu/full-program/program)
KATALOGISASI KOLEKSI PERPUSTAKAAN KECIL DAERAH SINDANGLAYA

Library services are an illustration of the fulfillment of library functions. One of the services that must be provided in the library is a catalog service. A service that makes it easier for users to find the collection they need in addition to asking a reference service. The catalog has three objects as mentioned by Cutter, namely the find function, the collect function, and the select function. In addition, the existence of a catalog can facilitate librarians in the collection development process. Therefore, a catalog should be in every library. The purpose of writing is to find out whether the use of catalogs in the intended library has been effective? Has the library implemented a catalog service? Is the SLiMS application in the Library effective to use? The author uses qualitative research methods so that the results obtained can be in accordance with the facts that appear and are seen when researchers observe the state of the object, namely the Sindanglaya Small Library. With the results of the study that the Sindanglaya Regional Small Library has not applied catalog services properly, only relying on the arrangement on the bookshelves so that researchers work with managers to use online catalogs by inputting data collections from the library using the SLiMS application.&#x0D; , ,
DEVELOPING ENGLISH VOCABULARY APPLICATION FOR THE MENTALLY-RETARDED STUDENTS AT SLB ARYA SATYA HATI

The aim of this study was to develop the application of English Vocabulary Application based on the desktop version to assist the mentally-retarded students in learning English vocabulary. This research used Research and Development (R&amp;D) with ADDIE models. This research involved 5 seventh-grader of mentally-retarded students and 3 teachers who teach mentally-retarded students from SLB Arya Satya Hati. The researcher used three instruments for this research: (1) Interview,&#x0D; (2) Questionnaire, and (3) Documentation. The data were analyzed by using Arikunto’s theory (2010) and percentage index (%). The researcher carried out the dissemination by uploading the video on how to operate the English Vocabulary Application on Youtube due to the COVID-19 pandemic. From the validation results, it showed that English Vocabulary Application was feasible to be used as a learning media in assisting the mentally-retarded students with 100% materials validation results and 95% programming validation results. Based on the application try-out, 4 MR students could guess more than 10 words of 20 words and 1 MR student guessed 8 words of 20 words. Based on this research, the English Vocabulary Application could be used in teaching- learning vocabulary for mentally-retarded students through ICT. This application could be used as one ICT learning media and the other researcher could develop this application with the newest features.&#x0D; &#x0D; Keywords: English Vocabulary Application, Mentally-Retarded students, teaching vocabulary
Understanding the operating mechanism of the Modaraba scam: Victims’ perspective on a ponzi scheme

This study aims to explore the operating mechanism of the Modaraba Scam that emerged as a viable investment opportunity in Pakistan and ultimately unraveled as a mega Ponzi scheme.Thematic analysis of the findings reveal that the scam emerged with the conception of a sharia-compliant business and gained validity by the intermediation of religious clerics.Initially the scam operators paid out substantial profits to attract maximum investment.However, soon after, the profit was discontinued and the agents escaped.This research adds to the literature on fraudulent investment traps and can help in the identification of similar Ponzi schemes in the future.
Designing the Bodily Metaverse of Lisbon

This chapter describes the experimental project Bodily Metaverse of Lisbon, presented on the NEOS VR social virtual reality (VR) platform. The main goal of this project is to design a 3D virtual space representing an artistic interpretation of Lisbon city centre, experienced in an immersive virtual world. The project develops further cross-disciplinary collaboration with programmers to implement the proposed navigation and functionality. VR environments enable non-constructible and non-gravitational elements of architecture to be designed as floating floors, transposable elements, and teleportation features. Authors describe the design process, the outcome of the Bodily Metaverse of Lisbon, as well as the new opportunities that social VR brings to architecture design.