Reviewerly/exHarmony huggingface dataset:
Fake News Detection Using ML

Fake news is depicted as a story that is made up with an aim to mislead or to swindle the peruser. We have introduced a reaction for the undertaking of phony news disclosure by utilizing Deep Learning structures. Because of various number of instances of phony news the outcome has been an augmentation in the in the spread of phony news. Due to the wide impacts of the immense onsets of phony news, people are conflicting if not by huge helpless finders of phony news. The most liked of such exercises consolidate "boycotts" of sources and producers that are not trustworthy. While these instruments are used to make an inexorably unique complete beginning to end plan, we need to address continuously inconvenient situations where logically strong sources and makers discharge fake news. As, the objective of this endeavor was to make a mechanical assembly for perceiving the language designs that portray phony and confirmed news using AI, AI and customary language getting ready techniques. The consequences of this undertaking exhibit the breaking point with respect to AI and AI to be huge. We have developed a model that gets numerous no of normal indications of veritable and phony news and additionally an application that aides in the portrayal of the order decision.
PROFESSORS OF LIFE SCIENCES DEPARTMENTS OF THE UNIVERSITIES OF RUSSIAN EMPIRE IN THE 1850S – 1860S AND THE “SECOND IMPORTATION” OF SCIENCE

Purpose. The purpose of this article is systematizing data on the internships ofprofessors of natural sciences and the introduction of the laboratory method in teaching related to the “second import” of science to Russia.&#x0D; Methodology. The main methods are the methods of analyze and synthesis, the comparative and historical genetic methods.&#x0D; Results. The importance of voluminous internships for professorial fellows at the turn of the 1850s-60s for preparing professors after the critical situation in universities after the “gloomy seven years” and the simultaneous aging of the professors’ corporation, which was caused by the reforms of S.S. Uvarov, is well known. However, it should be noted that in the field of natural sciences, the role of internships is even more significant since they should be associated with the the “second importation” of science to Russia. The fact that such an import took place was written by K.A. Timiryazev at the end of the 19th century. Althoughhe called it "the awakening of natural science". Even him, who was an adherent of leftist views criticizing the government, he could not help but admit that in the case of the turn of the 1850-60s science developed with the assistance of the state. And it was precisely this assistance that provided such a significant number of professors who completed internships in the most famous scientific centers in Europe. That was significant for the widespread dissemination of the laboratory teaching method and the adaptation of the German idea of Wissenschaft in Russia.&#x0D; Conclusions. Changes in the teaching of natural sciences at universities in the 1860s were a direct consequence of the voluminous internships of professorial fellows, most of whom were practicing in Paris and Heidelberg. And as we can associate with Paris the very principle of working in a laboratory for specialists with a certain experience and level of knowledge, then it is Heidelberg and other university cities in Germany that were in charge for transferring of the laboratory method of teaching students included those ones who just started their education.
Learning Media Development: FireDroid Application Base on the Android System and Distance Learning

The purpose of this research is to design and develop an Android-based learning media application for the Fire Fighting Equipment course at the Diploma Three PPKP Study Program, Palembang Aviation Polytechnic. The research method used is Research and Development (R&amp;D). This stage of research is 1) Potential and problems; 2) Data collection, 3) Product design, 4) Design validation; 5) Design revisions; 6) Product trials; 7) Design revisions; 8). Usage trials; 9) Revision of the final design; 10) Mass products. User satisfaction questionnaires are used in product success analysis to determine user replies. Responders responded strongly to the response interval of 71-80 people (82.6% - 93%) of the 86 answers, a scale of 4 with the category Very Good (A). The expected benefit is that this learning media can be one of the tools in the lecture process at Palembang Aviation Polytechnic. This research is in the form of a Research Results Report and Intellectual Property Copyright.
NLI-GSC: A Natural Language Interface for Generating SourceCode

There are many different programming languages and each programming language has its own structure or way of writing the code, it becomes difficult to learn and frequently switch between different programming languages.Due to this reason, a person working with multiple programming languages needs to look at documentations frequently which costs time and effort.In the past few years, there have been significant increase in the amount of papers published on this topic, each providing a unique solution to this problem.Many of these papers are based on applying NLP concepts in unique configuration to get the desired results.Some have used AI along with NLP to train the system to generate source-code in specific language, and some have trained the AI directly without pre-processing the dataset with NLP.All of these papers face two problems: a lack of proper dataset for this particular application and each paper can convent natural language into only one specified programming language source-code.This proposed system shows that a language independent solution is a feasible alternate for writing source-code without having full knowledge about a programming language.The proposed system uses Natural Language Processing to convert Natural Language into programming language-independent pseudo code using custom Named Entity Recognition and save it in XML (eXtensible Markup Language) format which is an intermediate step.Then, using traditional programming, this system converts the generated pseudo code into programming language-dependent source-code.In this paper, another novel method has been proposed to create dataset from scratch using predefined structure that is filled with predefined keywords creating unique combination of training dataset.
Prediction Of Graduation Time For Students Faculty Of Computer Science Amikom University Yogyakarta Using Naïve Bayes Method

The graduation rate on time in college cannot be taken lightly. In many cases, it is found that there is an imbalance in the number of students who enter and who have completed their studies so that there is a high accumulation of the number of students in each batch. It is necessary to know the factors that cause students not to graduate on time. Data classification techniques can be used to predict the timeliness of student graduation. The algorithm used is the Naïve Bayes algorithm with data from 122 students from the Informatics Engineering and Information Systems study program at the Faculty of Computer Science, AMIKOM University, Yogyakarta. Based on the results that have been carried out, it can be concluded that the Naïve Bayes algorithm is applied accurately to predict the timeliness of students' graduation. The results of testing the level of prediction accuracy resulting from the trial reached 90.16%.
Geometric Transformation Invariant Improved Block-Based Copy-Move Forgery Detection

To overcome the limitations of the systems implemented in Chaps. 3 and 4 , in this chapter, an enhancement of block-based copy-move forgery detection using hybrid local features extraction is proposed [1]. In this system, the image is divided into non-overlapping blocks and SURF features are computed from each block. SURF features are matched using 2NN procedure and large blocks are formed by considering the eight neighboring blocks of each SURF features match block. Maximally stable extremal regions are detected from each large region and the extracted SURF descriptors from these regions are compared for matching. Finally, the affine transform is applied to remove the outliers. The proposed system is experimented using MICC-F220, MICC-F2000 and MICC-F600 benchmark datasets and it yields better performance in comparison with state-of-the-art techniques.
Distance education today: character and challenges

The author in the article discusses the character and types of distance education, outlines the main problems that this form of study is experiencing nowadays. The author introduces the definition of distance learning; defines and characterizes its main types that are used to organize the educational process in pandemic situation (video conferencing, synchronous learning, asynchronous learning, online courses with an open schedule, online courses with a fixed schedule, computer distance learning, hybrid learning). The Moodle platform, one of the widely used by higher educational institutions, is also characterized. Its advantages include communicative nature, transparency of learning outcomes, an intuitive interface, reliability, adaptation to different devices with different operating systems. The main contradictions that exist between the strict requirements of reality to distance learning organization and the willingness of higher education institutions to organize and implement training in digital form using various information technologies are analyzed. Among the problems of organizing distance learning in higher educational institutions, the author underlines the difficulties connected with the development of an electronic educational environment; with the readiness of the teaching staff to use information educational technologies in the educational process on-line; with the development of electronic educational materials that meet a high-quality educational process organization. There are also difficulties caused by the lack of a sufficient amount of modern and reliable communication facilities and high-speed Internet communication channels for students. It is concluded that the transition to effective online learning requires time and various resources (financial, informational, human and others), support from organizations and officials interested in the development of high-quality online education.
NoDeeLe: A Novel Deep Learning Schema for Evaluating Neural Machine Translation Systems

Due to the wide-spread development of Machine Translation (MT) systems-especially Neural Machine Translation (NMT) systems-MT evaluation, both automatic and human, has become more and more important as it helps us establish how MT systems perform.Yet, automatic evaluation metrics have lagged behind, as the most popular choices (e.g., BLEU, METEOR and ROUGE) may correlate poorly with human judgments.This paper seeks to put to the test an evaluation model based on a novel deep learning schema (NoDeeLe) used to compare two NMT systems on four different text genres, i.e. medical, legal, marketing and literary in the English-Greek language pair.The model utilizes information from the source segments, the MT outputs and the reference translation, as well as the automatic metrics BLEU, METEOR and WER.The proposed schema achieves a strong correlation with human judgment (78% average accuracy for the four texts with the highest accuracy, i.e. 85%, observed in the case of the marketing text), while it outperforms classic machine learning algorithms and automatic metrics.
Physical activity of individuals with Parkinson’s in social isolation before and during the pandemic COVID-19

The world has been hit by a pandemic caused by the new coronavirus (COVID 19), which has resulted in government recommendations and measures including social isolation to reduce the spread of the disease. In view of these recommendations, there were drastic changes in lifestyle, impacting the physical and mental health of men and women. Thus, this study aimed to investigate the practice of physical activity, according to sex, in individuals with Parkinson’s disease in social isolation before and during the COVID-19 pandemic. Cross-sectional observational study, based on an online questionnaire validated for individuals with Parkinson’s disease PAFPA/COVID19, in which 156 individuals of both sexes and degrees of the disease (I to V) were allocated, with a mean age of 63.70 ± 11.00 years and from different Brazilian regions. Chi-square, Fisher’s exact and binary logistic regression tests were used. It is observed that 92% of the participants were in social isolation, which caused negative effects on the level of physical activity of the participants, even though most of them doing physical activity online. In addition, it was found that those who participated in specific exercise programs for Parkinson’s disease, are less likely to be insufficiently active, as well as individuals who receive online guidance. Although social isolation is a necessary measure to combat COVID-19, the results show a negative effect of this social isolation on the parameters of physical activity in this population in different regions of Brazil. This suggests that better strategies for health promotion in order to increase levels of physical activity at home are necessary to reduce the physical inactivity lifestyle during the pandemic, in order to prevent diseases associated with social isolation and physical inactivity.
Research on The living Intelligent Communication of Chinese Traditional Handmade Paper

With the development of intelligent media technology, the inheritance, protection and dissemination of intangible cultural heritage will inevitably be given a new paradigm in terms of the subject, information forms, and media environment.The research collects and combines the technique, process flow, inheritors, historical evolution and communication status of Chinese intangible cultural heritage traditional handmade paper to outline the development of synchronized culture of Chinese Traditional Handmade Paper(CTHP ) in the north and south of China by using online cyberspace research, fieldwork, big data visualization technology, etc.At the same time, the research explores the modern digital inheritance method, extract and establish reusable digital material library to try to improve internal power deficiency for contemporary "regeneration" of CTHP, the "fragmentation" and "rigidity" of modern inheritance and development, and the limitations of mass communication.At the same time, the research explores the modern digital inheritance method, extract and establish reusable digital material library to activated intangible cultural heritage for the problems of CTHP in terms of the internal power deficiency for contemporary "regeneration", the "fragmentation" and "rigidity" of modern inheritance and development, and the limitations of mass communication, through developing intelligent living experience of human-computer interaction, intelligent adaptation of algorithm models, intelligent regeneration methods base on deep learning, and optimizing and designing the path of inheritance and communication of CTHP in contemporary life to inherit, innovate and effectively disseminate the CTHP.
Textual Entailment for Modern Standard Arabic

This paper summarizes the Doctoral Thesis that examines various techniques to recognizing Arabic textual entailment, deciding whether one fragment of text entails another, where there is an exceptional level of structural and lexical ambiguities.As far as we know, the current work is the first study to apply this task for Arabic.For this purpose, we firstly describe a semi-automatic method for constructing a first Arabic textual entailment dataset.Then, we have investigated various system combination techniques for improving tagging and parsing depending on having accurate linguistic analyses.Finally, we have improved the standard tree edit distance (TED) algorithm.This extended version of TED, ETED, calculates the distance between two trees by applying operations on subtrees and single nodes.The current work also uses the artificial bee colony (ABC) algorithm to automatically guess the edit operations cost for both subtrees and single nodes and to decide thresholds.The current findings were encouraging for Arabic and English RTE-2 test sets.It should be noted most of the methodologies presented here could be utilized in research projects on poorly resources languages.
Improving Breast Cancer Classification using (SMOTE) Technique and Pectoral Muscle Removal in Mammographic Images

Computer-aided diagnosis methods are being developed to assist radiologists to improve the interpretation of mammograms for the detection and diagnose of breast cancer, reduce the errors and mistakes made by human beings. In addition, it provides a more accurate and reliable classification of benign and malignant abnormalities. In the mammogram diagnosis, the pectoral muscle appears in Mediolateral oblique views (MLO) of the right and left of the breast. Considering that, the pectoral muscle has the same density as the small suspicious masses in the image and can affect/bias the results of image processing methods. This paper presents a diagnosis method to detect an abnormality in mammograms automatically. Before abnormality identification, image-processing techniques are used to correctly segment the suspicious region-of-interest (ROI). The background of the mammograms has been darkened to distinguish the breast area from any blemishes or writings that will be removed. Then the breast area has been extracted after ignoring the empty regions around the breast in mammogram images. After that, the mammogram image is inverted and the inverted image is then subtracted from the initial image. For pectoral muscle removal, a region growing method using the K-means clustering method is used. Afterward, suspicious ROI is segmented utilizing the K-means with thresholding technique. To detect abnormalities in mammograms, shape-based features, moment invariants, and also fractal dimensions are extracted from the segmented ROI. The Mini-MIAS dataset is used to evaluate the proposed method and is predominately composed of benign samples with only a tiny percent of malignant samples. To accomplish far better classifier efficiency, the SMOTE algorithm is used to present new samples from the minority classes to get a balanced dataset. Random forest classifier utilized to classify the segmented region as benign and malignant. The experimental results obtained an accuracy of 97.1%, the sensitivity of 95.1%, and the achieved specificity is 98.5%.
Formation and tectonic evolution of structural slices in eastern Kargı Massif

The closure of Tethys Ocean has led to shaping the Central Pontides together with different types of rocks.In the east of Kargı (Gökçedoğan), which is located in the Central Pontides, allochthonous rocks of Late Palaeozoic-Early Cenozoic age and autochthonous units exist together, and allochthonous rocks present various tectono-stratigraphical sequences.Distinctive tectonic slices developed in the area as a consequence of the thrusting of the Permian carbonates from the north towards the south over the Middle Jurassic accretionary Complex (Kunduz Metamorphites) that form the basement of the area, and also because of the thrusting of the units of the Kirazbaşı Complex (ophiolitic melange) and Mesozoic carbonate rocks over this basement from the south towards the north because of the closure of Tethys Ocean.This paper presents whole-rock geochemical data, which suggest that the metabasites and the ophiolitic basalts are tholeiitic.The Jurassic metabasites from the Kunduz Unit and basalts from ophiolitic melange are characterized by the mid-ocean ridge basalt (MORB) and within plate tholeiites.This paper highlights the occurrence of the tectonic slices in the area is closely related to the tectonic evolution of the Tethys Ocean.
Mineralogical Variation of the Banks of Shatt Al-Arab and Shatt Al-Basrah River Sediments in Southern Iraq

The sediments on the banks of Shatt al-Arab and Shatt Al-Basrah have been studied to find out their mineralogical variation. Twenty-two samples were collected from depths of 20 cm of recent sediments Shatt Al-Arab and Shatt Al-Basrah Rivers banks, with approximately equal distances between them, the grain size analysis was conducted, and selected samples were prepared for X-ray diffraction, heavy and light minerals analysis. The result of grain size analysis showed that silt loam texture is dominated in Shatt Al-Arab River while silty clay loam texture in Shatt Al-Basrah River. quartz, calcite, dolomite, feldspar, and halite represent the light minerals in the silt fraction in the study area sediments, while the clay minerals are represented by kaolinite, palygorskite, illite, and montmorillonite-chlorite in Shatt Al-Arab River and the same clay minerals with small amount of montmorillonite in Shatt Al-Basrah River. The petrographic analysis showed that the light mineral contents in the sand fraction are composed primarily of quartz, feldspar, and rock fragment. The main rock fragments consist of carbonate, chert igneous and metamorphic rocks, mudstone, and evaporates (Gypsum). The heavy minerals contents are opaque minerals, pyroxene, hornblende, chlorite, biotite muscovite, epidote, staurolite, kyanite, garnet, tourmaline, rutile, and zircon.
Assessing the Quality of Educational Websites in Sudan using Quality Model Criteria through an Electronic Tool

The application of internet has grown in recent years.Due to this, there is an increase in the number of websites which creates diversity in the services.This leads the researchers to do more research in the quality of websites in order to set standards and models to maintain its quality.The main objective of these standards is to support the trust and speed which is the cornerstone which are the basis for using websites.Various statistics reports show that the sites of institutions and companies which applied the quality standards have achieved high rates in terms of the user satisfaction and the number of visitors.This study has incorporates the concept of website and electronic gates, its objectives, advantages, types and in addition to its quality and standards of e-websites.It also touched on previous studies conducted on website in the world, the Arab world and African peninsula and also in the Sudan in support of the development of Sudanese websites.The proposed models consist of important metrics to evaluate the application, quality of content, aesthetic aspects, multimedia, reputation and security etc.This paper also proposed an application for evaluating the quality of websites based.This model is applied on Sudanese websites such as governmental, educational, and commercial etc.The authors used the object oriented programing approach to build the proposed model using the PHP language with the combination of CSS and Java script.