Reviewerly/exHarmony huggingface dataset:
Ex-libris in the book culture of the Tambov governorate of the second half of the 19th – early 20th century

We analyze ex-libris of Tambov owners of the second half of the 19th – early 20th centuries. The relevance of the research is due to the need to fill the historiographic gap in the study of private libraries of the pre-revolutionary Tambov region. The main source for the work is the collection of civil press books, stored in the Tambov Regional Universal Scientific Library named after A.S. Pushkin. The significance of this collection is determined by the personality of bibliophiles – outstanding statesmen and public figures of the Russian Empire. On their estates, they were able to accumulate huge collections, in terms of the variety of repertoire not inferior to the libraries of Feofan Prokopovich, D.M. Golitsyn, M.V. Lomonosov. The collections contain many ex-libris, reflecting the ownership of a particular edition. The study of the identified collections and their book signs formed the basis of the substantial conclusions of the publication. We analyze the main characteristics of the most common types of ex-libris, showing the transition from a heraldic sign to a plot-shaped one. Consideration of the graphic material of the region’s largest libraries (collections of S.D. Sheremetyev, L.A. Voeikov, A.K. Kugushev, A.N. Nortsov) allows us to talk about the rich book culture of the owners of manor libraries of the second half of the 19th – early 20th century, a variety of plots and artistic performance of the created ex-libris.
LibGuides: Research Data Management: Moodle Modules

A guide to managing outputs of research projects and handling issues such as copyright and data protection laws
Book Genre Categorization Using Machine Learning Algorithms (K-Nearest Neighbor, Support Vector Machine and Logistic Regression) using Customized Dataset

Text classification is playing a vital role in current era. Its requirement is increasing day by day because of increase of text data as number of digital users are increasing rapidly. As a result, machine learning algorithms are used to classify certain text data, resulting in better predictions and accuracy. By constructing a data set with proper structure and data, the genre is predicted by the title and abstract of the book. The dataset will consist books which are translated to English from Guajarati or Hindi originate books. In this paper, some weaknesses in text classification techniques are analysed and worked on to improve the accuracy of structured data. The main focus here was to classify a book by genre using machine learning algorithms.ms.
Activity at caldera near Naples linked to underground gas pressure

Seismic events at Campi Flegrei caldera resemble what happens at fracking sites, and are not directly due to magma, scientists say. Seismic events at Campi Flegrei caldera resemble what happens at fracking sites, and are not directly due to magma, scientists say.
On Calibration of Mixup Training for Deep Neural Networks

Deep Neural Networks (DNN) represent the state of the art in many tasks. However, due to their overparameterization, their generalization capabilities are in doubt and still a field under study. Consequently, DNN can overfit and assign overconfident predictions – effects that have been shown to affect the calibration of the confidences assigned to unseen data. Data Augmentation (DA) strategies have been proposed to regularize these models, being Mixup one of the most popular due to its ability to improve the accuracy, the uncertainty quantification and the calibration of DNN. In this work however we argue and provide empirical evidence that, due to its fundamentals, Mixup does not necessarily improve calibration. Based on our observations we propose a new loss function that improves the calibration, and also sometimes the accuracy, of DNN trained with this DA technique. Our loss is inspired by Bayes decision theory and introduces a new training framework for designing losses for probabilistic modelling. We provide state-of-the-art accuracy with consistent improvements in calibration performance. (Appendix and code are provided here: GitHub link)
PENERAPAN TIGA KOMPONEN LITERASI GAYA CREATIVE EDUCATION INDONESIA FOUNDATION (CREDO) UNTUK MENINGKATKAN KETERAMPILAN MEMBACA DI SD NEGERI PEGADINGAN 2

This study tries to explain the process and results of applying the three components of literacy (phonology, phonics, alphabet knowledge) to the Credo style to elementary school students who have exceeded the initial reading learning period but still have difficulty in reading so that students experience difficulties when following other lessons. This study took respondents who sat between class three to class six. This research uses a qualitative method with a case study approach. However, in collecting data, researchers encountered obstacles due to Covid-19 which led to the implementation of Social and Physical Distancing, so that in the presentation of results and discussion researchers used primary data in the form of Pretest and interview results, then researchers used secondary data from source books as well as journals. relevant and prioritizing literature studies to confirm the results of this study. The conclusion drawn from this study is that all students assessed were not familiar with phonological concepts and skills in phonology. Students who are able to read sentences in general can read words, but students who are able to read words may not be able to read sentences. The ability to read words is not biased to determine the ability to write words. From the results obtained there were 54 students who had difficulty reading given treatment in the form of teaching the three structured and systematic literacy components that made it easier for students to read. As well as finding some interesting things such as: students who have high reading comprehension were not children who can read; students who are able to read (words / sentences) do not necessarily understand reading; students who are able to understand reading, some are able to read, some are not yet able to read.
Intervening and Letting Go: Understanding Dynamic Causal Models

Causal representations are distinguished from non-causal ones by their abilityto predict the results of interventions. This widely-accepted view suggests the following adequacy condition for causal models: a causal model is adequate only if it does not contain variables regarding which it makes systematically false predictions about the results of interventions. Here I argue that this condition should be rejected. For a class of equilibrium systems, there will be two incompatible causal models depending on whether one intervenes upon a certain variable to fix its value, or `lets go' of the variable and allows it to vary. The latter model will fail to predict the result of interventions on the let-go-ofvariable. I argue that there is no basis for preferring one of these models to the other, and thus that models failing to predict interventions on particular variables can be just as adequate as those making no such false predictions. This undermines a key argument (Dash, 2003) against relying upon causal models inferred from equilibrium data.
Cyber Crimes in Online Social Networking Services

Cyber crimes are now a global problem that affects lots of spheres of human life. The police all over the world must study how to deal withthis type of crimes, the safety lessons for kids prepare them for the hazards of digital world… Of course, the big companies that have all the reasons to keep their data secret and intact invest incredible amounts of money to increase the digital security all over the world. Every newgadget and software product becomes the target for cyber criminals sooner or later, so their manufacturers do everything that is possibleto be one step ahead. Almost everything we see in our daily life may need some of a cyber security. Even when we are totally offline walkingin the park, there are cameras around us and lots of digital devices that could be turned on us if not the security specialists who protectthem from intervention and enhance this protection every day. The vulnerabilities of the digital world shouldn’t cause paranoia, but stillthe basics of digital security are worth learning for everyone who uses the benefits of modern civilization.
BB84 with several intercepts and resend attacks using partially non-orthogonal basis states through a depolarising channel

The paper presents the partially non-orthogonal basis states effect in presence of several intercept and resend attacks through a depolarising channel. The quantum error and the mutual information are computed for arbitrary angles of the non-orthogonal basis states and the depolarising channel parameter. It is found that the information security depends strongly on the non-orthogonal basis states angle, the depolarising channel parameter, the intercepts and resend attack probability and the eavesdropper number. Besides, it is found that for any eavesdropper's number and basis states angle, the protocol is more secure if the depolarisation parameter is lower than a threshold value and the maximum value of the quantum error decreases by increasing the depolarising parameter and/or the eavesdropper's number. While for the depolarisation parameter above the threshold value the protocol is not secured independently of any values of the non-orthogonal basis states angle and/or the eavesdroppers' number.
Detection of Tumour in MRI Images of Brain Using Spearman Algorithm

This project investigates the problem of image classification with limited or no annotations, but abundant unlabeled data. The setting exists in many tasks such as semi-supervised image classification, image clustering, and image retrieval. Unlike previous methods, which develop or learn sophisticated regularizes for classifiers, our method learns a new image representation by exploiting the distribution patterns of all available data. Particularly, a rich set of visual prototypes are sampled from all available data, and are taken as surrogate classes to train discriminative classifiers; images are projected via the classifiers; the projected values, similarities to the prototypes, are stacked to build the new feature vector. The training set is noisy. Hence, in the spirit of ensemble learning, we create a set of such training sets which are all diverse, leading to diverse classifiers i.e. Deep learning neural network and RBFNN classifier. It is conceptually simple and computationally efficient, yet effective and flexible. This project is implemented using the Matlab simulation.
Multi Language Text Editor

The text editors that are available only enable the users to write in a single language for example in English language. Therefore, the Malaysian users who consist of 3 major ethnics such Malay, Chinese and Indian people are unable to write in their own language known as Bahasa Melayu for Malay people, Chinese for Chinese language and Tamil for Indian people. As to resolve this matter, the system provides a feature whereby the users may write text in the three languages mentioned above. Next, the text editors are text- based thus, it doesn’t allow users to have image input in the content, which is why the system produce a new feature to allow users to upload image. Furthermore, users are unable to check the number of words written in the text content, instead they have to count it manually. As a solution, the system consist a feature that display the number of words written. Moreover, text editors doesn’t have a feature to change the color of specific words so the system allows the user to set color for the text content rather than letting it being in a default color (black). Finally, whenever user would like to save the text content in other file formats, they are unable to do so in the existing text editors. Hence, the system comes up with a new feature that allows the user to save in plain text, word document and rich-text format.
Design and Building of Android Based Room Facility Lending Application

Android is a platform that is currently used by many users, so that almost every application created uses the Android platform because it is easy to use and also effective. The Faculty of Computer Science UPN Veteran East Java has 2 buildings and lots of rooms and other facilities such as laboratories, seminar rooms, and there are loans for equipment that can help the course of events whether in lectures or non- academics. Until now, the process of borrowing rooms and facilities at the Faculty of Computer Science is still done manually, such as using letters and several other processes. This also causes waste of paper and time because it is not necessarily the space or equipment that will be borrowed first by someone else. The purpose of designing and building a room facility loan application is to improve or optimize TU (Administration) services to room borrowers. The research methodology was carried out by collecting data such as interviews, literature study, observation and system design using the waterfall model. The results of this study are to facilitate services, be comfortable and safe in borrowing space.
LibGuides: Identifying Sources in Works Cited Lists and Bibliographies: Locating Periodcial Articles in Citations

Works cited lists are very effective ways to find relevant sources for your research. In order to be able to make use of the information in works cited lists, you must be able to identify the kind of source it is: is it a book, a chapter in a book, a jour
LibGuides: Diversity in STEM Education: Home

This Library Guide contains resources for students interested in Diversity in STEM education (Science, Technology, Engineering, and Mathematics)
CODE-MIXING IN THE LEARNING OF TAISIRUL KHOLAQ AT SALAFIYAH SYAFI’IYAH NURUL HUDA ISLAMIC BOARDING SCHOOL (SSNHIBS) MERGOSONO MALANG

The purposes of this study were to describe the code-mixing forms and factors that cause code-mixing in the Taisirul Kholaq study at SSNHIBS. The method used in this research was a qualitative method. The data of this study were the speech of the teacher and the dialogue between the teacher and the students. Data collection techniques using listening techniques, record techniques, and note-taking techniques. The results showed that there were forms of code-mixing in the learning of Taisirul Kholaq at SSNHIBS, namely: 1) code-mixing in the form of words, 2) code-mixing in the form of phrases, 3) code-mixing in the form of word repetitions, and 4) code-mixing in the form of clauses. The factors that cause code-mixing were 1) a role factor, 2) a variety of factors, and 3) a willingness factor to explain and interpret.
The Humanitarian Imperative for Minimally-Just AI in Weapons

For the use of force to be lawful and morally just, future autonomous systems must not commit humanitarian errors or acts of fratricide. To achieve this, we distinguish a novel preventative form of minimally-just autonomy using artificial intelligence (MinAI) to avert attacks on protected symbols, protected sites, and signals of surrender. MinAI compares favorably with respect to maximally-just forms proposed to date. We examine how fears of speculative artificial general intelligence has distracted resources from making current weapons more compliant with international humanitarian law, particularly Additional Protocol 1 of the Geneva Convention and its Article 36. Critics of our approach may argue that machine learning can be fooled, that combatants can commit perfidy to protect themselves, and so on. We confront this issue, including recent research on the subversion of AI, and conclude that the moral imperative for MinAI in weapons remains undiminished.
Professional training of software technicians: the challenges of society digitalization

The problem of professional training of software technicians in colleges on the basis of the analysis of works of foreign and domestic scientists is investigated. Factors influencing the quality of their training are considered, the main requirements and quality characteristics are highlighted. The opinion of students on the most demanded in the labor market personal and professional qualities of technicians-programmers is studied and their rating is carried out. Based on the analysis of the curriculum, educational and professional program and comparing them with the modern requirements of the labor market to a competitive specialist (junior specialist), a number of problems are formulated, the solution of which requires cooperation of scientists, teachers and employers.
THE ENGLISH NATIVE SPEAKERS’ THOUGHTS IN YOUTUBE ABOUT HOW TO LEARN ENGLISH

The aims of this study are to investigate English native speakers’ thoughts in learning a language. In this study, a qualitative case study in the form of descriptive approach is applied. The results show that learning English must be started from very beginning like a baby learning a language, learning simple vocabularies or phrases, listening to the correct pronounciation and using them in the real conversation. When learning a language, follow your curiosity and learn it in fun and happy way.
zoNNscan: A Boundary-Entropy Index for Zone Inspection of Neural Models

The training of deep neural network classifiers results in decision boundaries whose geometry is still not well understood. This is in direct relation with classification problems such as so called corner case inputs. We introduce zoNNscan, an index that is intended to inform on the boundary uncertainty (in terms of the presence of other classes) around one given input datapoint. It is based on confidence entropy, and is implemented through Monte Carlo sampling in the multidimensional ball surrounding that input. We detail the zoNNscan index, give an algorithm for approximating it, and finally illustrate its benefits on three applications.
PENINGKATAN LITERASI TEKNOLOGI GURU SEKOLAH DASAR DI KECAMATAN CIJERUK KABUPATEN BOGOR

Pedagogy competency is teacher's ability to understanding of learners and learning management, from planning, implementing to evaluating. Pedagogical competencies to be improved in this activity is utilizing ICT for learning purposes. Technology-based learning media develops and enhances teachers' capabilities to fulfill their various roles and responsibilities related to becoming an educator. These technology-based learning media should provide teachers with wiggle room in the digital age to plan and provide interactive learning when participating in community or teacher work groups and practice in general with fellow educators. The target that has been achieved in community service activities in collaboration with Gugus Kecamatan Cijeruk in general is the increasing pedagogy of teachers in utilizing ICT for learning purposes. Specific targets that have been achieved in this activity include: (1) increasing teacher knowledge related to technology-based learning media, (2) increasing teacher technology literacy, (3) increasing the ability of teachers in making technology-based learning media. The method in this PkM, first establishing the target area and applying the appropriate permits for carrying out the activity to authorized institutions. Second, coordinating with Leader of Gugus Kecamatan Cijeruk and preparing training materials. The materials that have been provided, i.e. (1) introduction of technology literacy, (2) introduction and practice of basic ICT, dan (3) create learning media using ms. power point. In the training, methods the team uses are methods of lectures, demonstrations, discussions, and tasks.
Effectiveness of smart phone application use as continuing medical education method in pediatric oral health care: a randomized trial

Continuing education aims at assisting physicians to maintain competency and expose them to emerging issues in their field. Over the last decade, approaches to the delivery of educational content have changed dramatically as medical education at all levels is now benefitting from the use of web-based content and applications for mobile devices. The aim of the present study is to investigate through a randomized trial the effectiveness of a smart phone application to increase public health service physicians’ (PHS physicians) knowledge regarding pediatric oral health care. Five of all seven DHCs (District Health Center) in Tehran, which were under the supervision of Tehran University of Medical Sciences and Iran University of Medical Sciences, were selected for our study. Physicians of one DHC had participated in a pilot study. All PHS physicians in the other four centers were invited to the current study on a voluntary basis (n = 107). They completed a self-administered questionnaire regarding their knowledge, attitudes, practice in pediatric dentistry, and background. PHS physicians were assigned randomly to intervention and control groups; those in the intervention group, received a newly designed evidence-based smartphone application, and those in the control group received a booklet, a CME seminar, and a pamphlet. A post-intervention survey was administered 4 months later and t-test and repeated measures ANCOVA (Analysis of Covariance) were performed to measure the difference in the PHS physicians’ knowledge, attitude and practice. In both groups, the mean knowledge scores were significantly higher (p-Value < 0.001) in post-intervention data compared to those at baseline. Similar results existed in attitude and practice scores. Although the scores in knowledge in the intervention group indicating potentially greater improvement when compared to those of the control group, the differences between the two groups were not statistically significant (dif: 0.84, 95% CI − 0.35 to 2.02). In the light of the limitations of the present study, smart phone applications could improve knowledge, attitude and practice in physicians although this method was not superior to the conventional method of CME. Our clinical trial had been registered in Iranian Registry of Clinical Trials (registration code: IRCT2016091029765N1).
A SUMMARIZATION TOOL FOR HOTEL REVIEWS

Abstract there's ample quantity of knowledge offered on the web. Necessary info will be gained by outlining the offered info. The manual creation of an outline is a troublesome task. Thence analysis community is developing new approaches for automatic text report that outlines mechanically. The outline is a shorter text that covers the necessary info from the original text. This paper discusses the basics of automatic text reports. To gauge automatic summaries are a difficult task. The challenges in evaluating summaries are represented. Strategies for analysis of summary each intrinsic and accidental are represented thoroughly. The paper concludes with some suggestions for future directions for outline analysis.
SISTEM INFORMASI KOMODITAS HASIL BUMI PADA GAMPONG BLANG DALAM GEUNTENG BERBASIS ANDROID

Today's technology has developed rapidly and has an enormous influence on the world of information technology. The emergence of various types of applications that can provide convenience and benefits in the activities of human life. Agricultural information is one of the important factors in the production process of farming. Agricultural empowerment so far has generally not yet significantly empowered farmers. So far, farmers have not gotten the information well. This research aims to design and create an Android-based commodity information system application. This application is expected to be useful for farmers as a medium of information and communication to increase agricultural productivity, thus the welfare of the farmers' community will be better.Keywords: android, agriculture, information technology