Reviewerly/exHarmony huggingface dataset:
Dataset for classification of computer graphic images and photographic images

&lt;span lang="EN-US"&gt;The recent advancements in computer graphics (CG) image rendering techniques have made it easy for the content creators to produce high quality computer graphics similar to photographic images (PG) confounding the most naïve users. Such images used with negative intent, cause serious problems to the society. In such cases, proving the authenticity of an image is a big challenge in digital image forensics due to high photo-realism of CG images. Existing datasets used to assess the performance of classification models are lacking with: (i) larger dataset size, (ii) diversified image contents, and (iii) images generated with the recent digital image rendering techniques. To fill this gap, we created two new datasets, namely, ‘JSSSTU CG and PG image dataset’ and ‘JSSSTU PRCG image dataset’. Further, the complexity of the new datasets and benchmark datasets are evaluated using handcrafted texture feature descriptors such as gray level co-occurrence matrix, local binary pattern and VGG variants (VGG16 and VGG19) which are pre-trained convolutional neural network (CNN) models. Experimental results showed that the CNN-based pre-trained techniques outperformed the conventional support vector machine (SVM)-based classifier in terms of classification accuracy. Proposed datasets have attained a low f-score when compared to existing datasets indicating they are very challenging.&lt;/span&gt;
THE METAPHYSICAL CONTEXT OF THE CONCEPT OF SCIENTIFIC RATIONALITY: CLASSICS AND NON-CLASSICS

The article analyzes the relationship of the phenomena of rationality, metaphysics, ontology, classics and non-classics in modern research literature. The author comes to the conclusion that despite the steady division of scientific knowledge into natural and humanities, the question inevitably arises of the need to construct ontology of unified scientific knowledge.
Ideas of a prosocial approach to develop education

The emergence of new methodological approaches to the organization of activities is due to socio-cultural, economic transformations in the life of society. With regard to the education system and pedagogical activity, the prosocial approach is strengthening its position, aimed at promoting the well-being of the individual, as a metaprinciple that is not yet sufficiently substantiated in modern scientific knowledge. The purpose of the article is to identify and substantiate the main ideas of the prosocial approach to the development of education and pedagogical activity. Research methods are a theoretical analysis, synthesis, generalization, abstraction, concretization of data, publicationsand materials presented on official websites, in open access databases. As a result, the main ideas were identified that consider the prosocial orientation of education and pedagogical activity: 1) as an orientation towards the values of the good and benefit to a person and society (education, professional pedagogical activity are considered in the context of the idea of a teacher's activity for the good, benefit of society, communities, individuals); 2) as a response to the challenges of our time (pedagogical activity, meeting the criterion of social responsibility, is aimed at the future, relies on and takes into account current needs, approved at a specific time and for the future by the state, society, and the world community); 3) as a specific behavior, a way of helping activities (pedagogical actions based on a helping attitude towards the student and aimed at initiating self-help, helping in the adaptation and development of his personality); 4) as a «safe» vector of pedagogical communication, humanization of the environment (dominance of benevolence, friendliness, trust, tolerance, compromise and cooperation). Their characteristics are given. The prospects for the development of the methodology of the prosocial approach as the formation of fairly new scientific constructs – pro-social education and pro-social pedagogy – have been determined. The study has been carried out within the framework of the State Assignment of the National Research University «BelSU» № 0624-2020-0012 «Justification of the integrative methodology of higher professional education: the dominants of the formation of universal competencies, prosocial attitudes and polysubjectivity of a future teacher» for the period 2020-2022
Implementation of Public Sector Accounting to Handle Fraud in the Public Sector in the Digital Era

To prevent fraud in the digital era, this study will try to develop capital for applying public sector accounting to find and describe the characteristics of fraud in the public sector in the digital era. This research will use secondary data from various studies and reports on the problems discussed through a descriptive qualitative approach. This study provides results in fraud in public sector accounting in the digital era in the form of utilizing human error, taking advantage of the lack of knowledge about digital technology, to take advantage of the misconceptions that occur in public sector accounting in the digital era. Through consideration of preventive strategies, a two-paradigm approach, carrying out technical strategies to performance accountability, the problem of fraud in the digital age can be prevented through the implementation of public sector accounting.
Research Skills Development of Future Computer Science Teachers Using Problem Solving of Modeling Physical Processes

The article is devoted to the issues of developing the skills of research activities of future computer science teachers who are able to independently develop and implement various methods, tools, technological processes, etc. in their professional activities. This approach to learning will allow students to be prepared for innovative solutions to research problems, which is the basis for the development of key competencies of a future computer science teacher. Modeling in the field of solving applied problems is actively used in the Lipetsk State Pedagogical University named after P. P. Semenov-Tyan-Shansky when teaching students. Due to the growing demands placed on solving problems of natural science disciplines and specific technological tasks, there is a need for complex mathematical calculations that can be performed only with the use of computer technology. Similar tasks have appeared in such fields of knowledge as physics, chemistry, biology, ecology, mechanical engineering. The article provides an example of constructing a physical model when studying the effect of temperature on the change in molar heat capacity by Debye. The considered process of solving the problem allows you to develop the skills of research activity through the successive following stages: problem statement, description of the mathematical model of solving the problem, translation of this model into a computer model using a high-level programming language.
Military Sexual Assault

The purpose of this research is to analyze the impact of the Department of Defense Directive 6495.01 that dictates how sexual assault response and prevention is handled within the military, using the Army SHARP program under HQDA EXORD 161-13, HQDA EXORD 221-12 & AR 600-20 as specific examples. This research will identify how this policy has impacted military service members who have been victims of sexual assault or harassment. We will also explore the effectiveness and ineffectiveness of these policies. In addition, we will examine what the experience of military service members who have experienced Military Sexual Trauma (MST) is like and how they are affected both in and out of service. The goal of this policy analysis is to research the effectiveness of the military’s sexual assault, response, and prevention programs
Pelatihan Teknik Membaca Scanning dan Skimming untuk Teknisi Pelayanan Darah

In carrying out their daily tasks, bloodbank technicians deal with various kinds of English texts, ranging from labels and manuals for using tools to the latest scientific journal articles related to blood service cases. As a result, training in scanning and skimming reading techniques was provided in a short webinar format, which was attended by bloodbank technicians from all over Indonesia. The event was attended by 123 blood service personnel who work in hospital bloodbanks and the Indonesian Red Cross. The activity was carried out by giving a short lecture followed by a discussion on the topic "Useful Reading Techniques for Blood Bank Technicians: Skimming and Scanning," followed by a discussion session. From the observations, participants have an interest in the use of reading techniques that are appropriate to their field. The interactive discussion took place in two sessions, namely during the presentation and after one topic was finished. The second discussion took place during the question-and-answer session.
XCFrameworks

Emily gathered her team to discuss with them about a new feature they were supposed to work on.
Pemanfaatan Packages Pada R Programming Untuk Crawling Data Pada Social Media

Social media is one of the many sources of data that can be extracted to obtain various information. In R Programming, there are thousands of packages that can be used to crawl social media data, both the default packages and the developer versions. Difficulty in extracting data will result in less than optimal research, so there is a need for adequate tools to support research. R Programming is able to become a bridge for researchers to explore existing tools, both by utilizing packages and building simple algorithms in R programming. Twitter data crawling is done through an API connection on Twitter with R Programming, so that we can get data by entering keywords according to the desired search both in realtime and at certain times as needed. With these packages it makes it easy to research in crawling social media data such as Twitter and other social media
Sistemas de anotación semántica para corpus de español

In this chapter, a general description of some computational semantic systems is presented, and specifically those focused on the semantic analysis of Spanish texts. The chapter covers the semantic analysis at three levels: lexical, sentence and textual. For each level I will present the linguistic model that support the analysis and then specific tools. First of all, in section 2, systems devoted to lexical analysis are presented. They will cover two main approaches to lexical semantics: first a paradigmatic approach based on the use of dictionaries as resource 420for semantic representation of word senses, and second a syntagmatic approach based on vector space models of distributional semantics (word embeddings). In the next section (3), as well as a specific distributional semantics system, the semantic analysis of sentences based on semantic roles will be presented. Finally, section 4 will cover the semantic analysis at textual level. It will be focused on the extraction and analysis of recurrent topics from large corpus applying LDA-Topic Modeling. The chapter includes both general purpose tools (as Gensim) and specific tools (as FreeLing or MALLET). In section 5 I will present current computational semantic models that have not been adapted to Spanish texts yet.
Building information visualization of e-learning data with Vis2Learning guidelines

Information Visualization provides techniques to make better charts that enhance human perception about patterns in data and consequently support the user interpretation. In the educational area, visualizations help professionals to analyze a great amount of data to inform decisions to improve the learning­teaching process. The literature has shown that there is a gap in the development of educational data visualizations that fulfill end­user needs. This paper presents Vis2Learning: a scenario­based set of guidelines for the development of visualizations in the e­learning context. Vis2Learning provides a set of scenarios from which educational data visualizations can be developed, for each scenario, we provide the recommended chart, its aim, characteristics and examples of its application in the e­learning context. Besides, we provide a set of guidelines to improve users’ interaction with each chart. We applied an online questionnaire with 34 end­users (Brazilian teachers), evaluating visualizations that were created by using the Vis2Learning. The results reveal: (1) the visualizations, based on Vis2Learning, were more suitable to be applied in the e­learning context; (2) some non­traditional visualization formats are difficult to interpret by users who did not have previous experience with visualizations in the e­learning context; and (3) experience in teaching is not strictly related to knowledge of charts about educational data.
Research on the Self-Perception of Adolescents as Readers

The aim of the study is to study teenagers' self-perception as readers, from grades 8, 9 and 10. There were 184 students in the sample (91 males and 93 females). Henk, Melnick and Marinak have established the self-perception as readers utilizing Reader Self-perception Scale 2 (2013). Data analysis was based on descriptive statistics, independent sample t tests, and one-way ANOVA. This study demonstrated that the self-perception of young students as readers was successful. The findings of the t test show that the self-perception of women in reading was much higher than that of men in p &lt; 05. ANOVA showed that the self-perception of students in 10th grade as readers in the special group was greatest in 8th grade, 9th grade and 10th grade students in p &lt; 0.01.
P665 Towards FAIR longitudinal IBD registries: preliminary results of an iterative design process of a reusable and interoperable IBD database model

Abstract Background The Real World Data [RWD] of the Dutch longitudinal IBD registries (population based IBD South Limburg cohort, Parelsnoer IBD, Initiative on Crohn and Colitis drug-registry) have proven to answer knowledge gaps regarding epidemiology, patient stratification, positioning and effectiveness and safety of new drugs. Life-long data-capture in registries for large cohorts is extremely labor intensive and expensive. Therefore, based on the database models of existing registries, we aim to develop a reusable and interoperable Real World IBD database model that will contribute re-use of every-day care data form hospital information systems and remote monitoring platforms. This project contributes to generation of high quality, multi-dimensional data for (inter)national IBD registries such as the United Registries for Clinical Assessment and Research [UR-CARE] registry and aforementioned registries. Methods The design process was iterative and involved the potential end-users of the registries. For the first iteration the database models of established Dutch IBD cohorts were taken as input, in combination with repeated discussions on the content with three principal IBD investigators. The second iteration was multifaceted including; 1) Five discussion sessions with 7 IBD researchers (MD medicine of which the majority practiced IBD care and were experienced with the hospital information system) discussing the content, and 2) four discussion sessions with researchers experienced in re-using hospital care data for research that evaluated the model on practical use and difficulties in data interpretation using the output of the first iteration. No data was analyzed, only codebooks describing variables and their values. Results The first iteration of the design phase resulted in a database model called IBD common data model [IBDCDM] v1 consisting out of 395 variables, and based on existing codebooks of Dutch IBD registries (figure 1). The database model, called IBD common data model [IBDCDM] v1 consists out of 27 independent modules on different themes important for the IBD disease course allowing for repeated data recordings (figure 2). The second iteration of the design phase resulted in pruning the modules’ content, removal of one module, merging and adding of modules. Conclusion An iterative design process involving end-users will result in higher data quality by optimizing practical usability and interpretability of the database model. Next step is to encode the model using medical standardized vocabularies (e.g. SNOMED, LOINC), for interoperability. The database model contributes towards producing reusable IBD datasets that use study hospital care data as a primary source to study the IBD disease course over several decades.
Object Detection in Edge Environment: A Comparative Study of Algorithms and Use Cases

Computer vision technology has made significant advances in recent years and is principally used to build a communication device capable of digesting, evaluating, and making decisions in the same way that people do. It also includes various traditional methods used for the same and innovations in artificial intelligence as well as advancements in deep learning and neural networks. Deep learning is a very successful technique to computer vision that is faster and easier to develop and apply. However, because of the vast amount of data and processing capacity, training the model takes longer. Cloud computing solves this problem. The calculations are done in the cloud to decrease the time and hardware necessary to assess a model. However, the reaction time for a cloud-based system is high. EdgeAI is employed in the computer vision to prevent this issue. This chapter gives an overview of object detection in EdgeAI and in the computer vision.
Effect of packaging materials on the quality of oyster mushrooms (Pleurotus saijo caju) during storage

The study aims to investigate the optimal packaging material to maximise the restriction of physiological and biochemical changes which reduce oyster mushroom (Pleurotus saijo caju) quality during the storage after harvesting. There are six packaging techniques tested, including PET box, PET box with kraft paper, PET box with kraft covered by GreenMAP bag, soft tray covered GreenMAP bag, soft tray with kraft paper in GreenMAP bag, and kraft paper. The result shows that the PET box with kraft paper in the GreenMAP bag is the most suitable for the storage of oyster mushrooms. After 10 days under 4oC, the lowest weight reduction can be seen with only 5.78%, soluble protein declines 65.49%, and decrease of vitamin C with 27.87 mg/100 g. In addition, the fruit body can maintain the colour, structure, and taste better than those packed with other materials
Pemanfaatan OpenSID sebagai Media Sistem Informasi Desa Cemara Jaya Halmahera Timur

Service to the community by utilizing technology is an obligation that must be carried out by every village government, including the Cemara Jaya village government in Wasile, East Halmahera, public services using manual methods can cause several problems such as loss of documents and undocumented letters issued by Cemara Jaya village government in a structured manner. This service is carried out in an effort to assist the village government and its community in using the Cemara Jaya Village Information System (SID). The training and mentoring methods that have been carried out show that the service system carried out by the Cemara Jaya Village government is more efficient, saves time and data management that was previously manual-based to digital-based in the form of a village information system.
Penerima Manfaat Bantuan Non Tunai Kartu Keluarga Sejahtera Menggunakan Metode NAÏVE BAYES dan KNN

The Prosperous Family Card is one of the government's programs in accelerating poverty which functions as a marker for the underprivileged. The implementation of the PSC policy is still not optimal due to factors, namely the lack of socialization and information from village and sub-district officials to the community regarding programs issued by the government. This research to classify the beneficiaries of the Prosperous Family Card, because there are still many other disadvantaged families who have not had the opportunity to receive this assistance program. The method used in this research is the Naive Bayes method and the K-NN method. The results of this study are the classification of beneficiaries from 6,491 KKS recipients with the K-NN Algorithm method yielding an accuracy value of 66.46% with a distribution in 5 villages, including pred Argasunya class precision 64.90% pred Harjamukti class precision 65.18% pred Kalijaga class precision 66.64% pred Kecapi class precision 68.44% pred Prohibition class precision 68.34% while the Naïve Bayes algorithm is classified with true in each kelurahan with true Argasunya distribution of 1,196 KKS class precision 100%, true Harjamukti 1,339 KKS class precision 100%, true Kalijaga 2,067 KKS class precision 100%, true Kecapi 1,137 KKS class precision 100%, true Prohibition 744 KKS(1 KKS true Argasunya, 1 KKS true Harjamukti, 3 KKS true Kalijaga, 3 KKS true Kecapi) class precision 98.64%. the accurasy value of the Naïve Bayes algorithm model is 99.88%.
Pengaruh Digitalisasi Dalam Efektifitas Pengelolaan Kearsipan Dokumen Kepesertaan BPJS Ketenagakerjaan Cabang Meulaboh

This study aims to determine the effect of digitalization on the effectiveness of archive management of BPJS Ketenagakerjaan membership documents in the Meulaboh Branch. This research method is descriptive qualitative. The results of this study indicate that the BPJS office in managing archives uses three systems, namely the manual system, the digitization system and the latest system. Archival storage is very important for the smooth running of organizational activities that are useful as a source of information and a memory center. Unfortunately, the appreciation of archives is still very low so it is not managed properly. Digitization is closely related to archive preservation. The process of digitizing archives at the BPJS Meulaboh branch office has problems in digitizing archives, such as limited human resources, namely the number of staff who digitize archives is still lacking. scanner tool malfunction that must be repaired immediately, and make improvements to web maintenance that often occurs, which affects its work process.
ThreatSCOPE: Addressing software vulnerability in embedded systems

mbedded systems controlling complex systems, including medical devices, avionics, automotive and the Internet of Things (IoT), are becoming increasingly sophisticated.The software supporting these systems is growing more and more complex.As this complexity increases, so does the challenge in identifying vulnerabilities within the software, thus exacerbating the likelihood of cyber threats.These embedded systems rely on external data, such as user input and external sensors, and may be connected to public networks.Attackers can exploit the unique interactions that take place between systems and between users and systems in order to find weaknesses that enable them to leak information or take over control of the system.Moreover, it is impossible to test for these complex, data driven interactions.This makes the evaluation of a system's cyber-security attack surface a challenging problem.
Supplemental Material: Flood basalts, rhyolites, and subsequent volcanism of the Columbia River magmatic province in eastern Oregon, USA

Appendix A: Sample Whole Rock (X-ray Fluorescence Spectrometry and Inductively Coupled Plasma–Mass Spectrometry) and Location Data
Tap into texting to better engage with students

SMS — or short message service — is the more technical term for text messaging. As a marketing channel, it's gaining ground in industries of all kinds. From generating and qualifying leads to sending application reminders and status updates, text messaging can be an efficient and cost‐effective channel.