Reviewerly/exHarmony huggingface dataset:
An Improved Fake News Detection System using optimized TF-IDF Features with Multi Level Voting Rule

Fake news detection and their analysis is a rapidly growing field of research due to the explosive growth in social media and internet. In artificial intelligence-based modern world, the detection of news reliability is one of the essential tools to extract textual information from massive news data. To the best of our knowledge, the exiting fake news detection system not able to detect the reliability of news with maximum accuracy and need a big improvement. So, in this research article, we designed an Improved Fake News Detection (I-FND) system using the concept of optimized Term Frequency-Inverted Document Frequency (TF-IDF) features with Multi-Level Voting Rule as machine learning technique. To select the best feature set from the extracted TF-IDF features, the concept of Swarm-based Grasshopper Optimization (SGO) technique is used as an optimization algorithm with a novel fitness function. The proposed I-FND system used four steps named as the pre-processing for data normalization, feature extraction using TF-IDF extractor, feature optimization or selection using SGO and classification with multi-level voting as concept of machine learning. The proposed I-FND system outperformed compare to the existing works and to validate the performance of the proposed work parameters such as accuracy, error, precision, recall, f-measure and execution time are computed. Based on the comparison, we founded that the proposed model work effectively in terms of performance parameters and we achieved noteworthy increase in accuracy, precision, recall and f-measure of proposed I-FND system
Service-Learning Through Immersive Technologies in Ecuador

Service-learning, as a form of experiential learning, allows universities to work hand-in-hand with local communities, addressing their needs and expectations and putting into practice professional skills acquired by the students. This article reports on two service-learning experiences of communication students and faculty of Ecuador and Ohio working together with local communities in the countryside of the coastal province of Manabi and in the Andean paramo of Chugchilan. These activities were further enhanced via cutting-edge immersive technologies and production experience using these technologies. This article aims to answer the questions of whether and how international stakeholders and immersive technologies play a role in the community outreach roadmap. The outcomes suggest that immersive technologies in service-learning international partnerships present four types of challenges: ontological, technological, narrative, and professional. The introduction of immersive technologies in service-learning projects is an interesting possibility for further development of joint narratives.
Combining Machine Learning & Reasoning for Biodiversity Data Intelligence

The current crisis in global natural resource management makes it imperative that we better leverage the vast data sources associated with taxonomic entities (such as recognized species of plants and animals), which are known collectively as biodiversity data. However, these data pose considerable challenges for artificial intelligence: while growing rapidly in volume, they remain highly incomplete for many taxonomic groups, often show conflicting signals from different sources, and are multi-modal and therefore constantly changing in structure. In this paper, we motivate, describe, and present a novel workflow combining machine learning and automated reasoning, to discover patterns of taxonomic identity and change - i.e. “taxonomic intelligence” - leading to scalable and broadly impactful AI solutions within the bio-data realm.
Realization of quantum SWAP gate and preparation for entangled coherent state based on optical microcavity

Based on the cavity quantum electrodynamics (CQED), we propose two schemes for realization of basic quantum information processing tasks, i.e., constructing a quantum SWAP gate directly and preparation for entangled coherent states. In the present paper, we show that the quantum swap gates of photonic qubits can be implemented only by one step with a three-level Λ-type atom trapped in a bimodal optical cavity. The purpose for the direct construction of swap gates is to save a great many quantum resources in practical quantum information processing and reduce the number of required unitary operation. For the latter, we obtain the entangled coherent states via the large detuning interaction, in the process of the unitary evolution of dressed states. This scheme provides a suitable cavity QED to prepare quantum entanglement for researchers, and provides a wider horizon for the generation of quantum entanglement based on cavity QED, which, to some extent, possesses reference value and guiding effect in the experiment, and the quantum entanglement can be used for the potential application in the quantum information and quantum communication in the future.
The Role of customer engagement in improving human sigma: Applied study on Egyptian banking sector

This research aims to discover the importance of customer engagement implementation in applying the concept of human sigma in the Egyptian banking sector. To do so a research model was formed based on the previous studies and the literature review and four main hypotheses and ten sub hypotheses were developed. After making the hypotheses two different questionnaires were developed based on the previous studies and the literature review, after designing the questionnaire the researcher distribute the questionnaire to two different sample units one was distributed to the different three managerial levels (Topline- Middle line- First line) to the managers of public banking sector represented by manager of ElAhly National Bank in Egypt (NBE) and to the managers in the different managerial levels of banking sector private sector represented by managers of Commercial international bank (CIB) and the other questionnaire was distributed to different customer of both public and private sector. The researcher has distributed 291 questionnaires and received valid responses about 145 surveys. After collecting the survey both from managers from private or public sector and from public and private banks customers’ hypotheses has been tested from managers’ side regarding the financial and non-financial returns, management support and career growth to determine the extent of employee engagement. And for public and private banks customers in terms of loyalty, confidence and pride to determine the extent of customer engagement. Also testing hypotheses regarding the organizational efficiency in terms of Employee perspective of quality improvements, employee satisfaction and for customers’ perspective of quality improvements and customer satisfaction. Then the researcher reached to certain recommendations to apply the human sigma concept in the Egyptian banking sector to improve the organizational efficiency through Training and orientation for employees, improve the whole organization with a clear vision supported by the top management. Recruiting talented employees to help in applying the strategy, managing through results to give subordinates some sort of freedom in their jobs. The researcher then ended up this thesis with certain recommendation for human sigma implementations and recommendations for future researches.
Conducting Teacher Stage Coaching Using SAC Media during pandemic Through Techniques

Coaching techniques can be done by the principal to conduct mentoring, mentoring and training on teachers and tendik whose performance is still not in accordance with the standards set. Especially online learning (online) or online learning during the covid-19 pandemic, has a variety of ineffective opportunities. In addition, the problem of utilization of technology and learning media used in the implementation of learning is not maximal. The media used does not support the implementation of the teacher-selected learning model. Improving the competence and skills of teachers in using the media during the pandemic also needs to get the attention of the principal. In the Project to Improve the competence ofprospective principals, the author conducts activities to improve the competence of teachers in the implementation of the learning process, especially the use of media through coaching techniques. Based on the results of the study obtained can be concluded that the use of android-based media, one of which is Smart Aplication Creator (SAC), is able to increase the activities of students in following learning from home, which is implemented during the covid-19 pandemic. This can be seen in five aspects, namely based on observation of the implementation of learning, the effectiveness of media use, the results of activities, student achievements and student wellbeing
Breast Cancer Detection using MATLAB Functions

Breast cancer is the most common type of cancer in women and the second leading cause of cancer death in women after the lung cancer. The development of breast cancer involves several types of genetic code in order to promote the cancer. The subsequent steps in gene alterations with respect to tumor development are not clear, and the process is far less understood. Nowadays there are many techniques used for identification of breast cancer. This paper presents the image processing technique by using the MATLAB for identification of breast cancer using mammography images. It gives details about steps carried out while identifying the breast cancer and also provides the information about the various MATLAB functions used in those steps. This method helps the physician in breast cancer diagnosis and monitor the treatment process.
A Spoken Language Dataset of Descriptions for Speech-Based Grounded Language Learning

35th Conference on Neural Information Processing Systems (NeurIPS 2021) Track on Datasetsand Benchmarks
Модульный подход в высшем образовании: два вектора развития

The article discusses the current aspects of modular design of educational programs. Two vectors of a modular approach in the educational process in higher education are distinguished: intra-subject modularization and meta-subject and integral design of new generation curricula and standards on a modular basis. The attention is focused on the problem of convergence of these processes.
Aorta Detection with Fetal Echocardiography Images Using Faster Regional Convolutional Neural Network (R-CNNs)

The fetal heart structure has an important role in analyzing the location of abnormalities in the heart. The aorta is one of the fetal heart structures, which has an essential part in exploring how the fetal heart is structured. To see the fetal heart structure can be seen with the help of an echocardiography tool in the form of ultrasound to see ultrasound images of the fetal heart. In ultrasound image data, detection is challenging because of its low image features, shadows, and contrast levels. So that is the first to do it yourself in one of the points of the culture in the culture in the aorta. The approach in this study uses deep learning in cases using Faster Regional Convolutional Neural Network (R-CNNs) with the R-CNNs mask method. The proposed approach has been applied to 151 ultrasound images of the fetal heart for the aortic region. The evaluation results were tested by evaluating metrics on the detection object with an mAP value of 83.71%.
Kepatuhan Functional Requrements Hak Akses pada Electronic Records Management System Arteri.

This Research discusses the compliance of the Electronic Records Management System (ERMS) on the Principles and Functional Requirements for Records in Electronic office environments (ICA-REQ) Module Two related to access control functions in one of the main categories is maintain. One of the ERMS management records, namely Arsip Elektronik Terintegrasi (Arteri ) is based on open-source. Arteri is the ERMS for managing web-based electronic records to facilitate records management. Therefore, this research aims to determine whether the arteries meet the ERMS standard on the ICA-REQ regarding access control. So, the results of the analysis can be used as input for developers and users to conduct further evaluation and improvement. This research used a qualitative approach with literature study and made observations on Arteri as the object. On analysis it was found that Arteri only fulfilled 12 of the 17 mandatory access control function requirements .
Rhetorical culture as an integral component of pedagogical masterpiece

The article deals with structural compounds of lecturer's rhetorical culture, its role in forming of professionaly oriented person. Lecturer's cultural and language literacy forms a style of pedagogical communication, a culture of his speaking behavior, and that exerts influence on learning process, on forming students' skills, on their personalities.&#x0D; The theoretical bases of diagnostics and determination of the results of the formation of professional competencies of language training lecturer`s for foreign citizens as the actual pedagogical problem in universities of technical profile were investigated and substantiated. In the conditions of socio-economic changes in Ukraine, the improvement of higher professional education system, in the process of introducing new requirements and standards of education, there are significant transformations in the system "lecturer-to-student". Changes in the first place concern perception of lecturer, the system of role expectations regarding the leading qualities of the lecturer changes.&#x0D; Strengthening the attention to the issues of diagnosing the level of proficiency of language training lecturers of professional competences, as a modern trend requires not only scientifically based tools for continuous measurement, analysis and improvement of evaluation of educational results of students' professional training, but also a new look at the system of pedagogical diagnostics. System diagnostics based on a competent approach should become a key and crosscutting component of monitoring the quality of vocational training of language training specialists in universities of technical profile.
Where next for Russian teacher education?

The system of teacher education is called upon, on the one hand, to meet the tasks of the personal and professional development of a teacher who is able to educate the younger generation in the context of enduring values and meanings of life. On the other hand, to meet the challenges of the modern stage of the science and society development, to take into account the leading trends in the dynamics of professional training of a teacher, be aimed at the prospects for its further improvement. From this point of view, the development of the teaching profession and preparation for it proceeds according to objective laws. These laws need to be investigated for forecasting, identifying general trends in the future of teacher education. In this chapter, firstly the features of the pedagogical corps of Russia are revealed in the context of the Teaching and Learning International Survey – TALIS-2018. Then some of the challenges and problems in Russian teacher education are examined. The third part covers possible scenarios for the future development of the teacher education system in Russia.
MENINGKATKAN HASIL BELAJAR MATEMATIKA MELALUI PENERAPAN METODE DISKUSI KELOMPOK

The Group Discussion Method is a way of presenting a lesson in that students are faced with a problem - a problematic statement to be discussed and solved together. The distinctive feature of this learning method is that learning that takes place is carried out in the form of study groups. The objectives of this study are: 1) to describe the learning process by applying the Group Discussion Method to the subject matter of the animal life cycle in Mathematics in class V SDN 078489 Orahua. 2) to describe the increase in student learning outcomes by applying the Group Discussion Method to Mathematics in SDN 078489 Orahua. This research was conducted at SDN 078489 Orahua with the research subjects of the fifth grade students of the 2018/2019 academic year, total 27 students. The research method used is classroom action research (CAR). The research instrument used was (1) observation sheets for students who were not active in the learning process (2) observation sheets for students who were active in the learning process (3) observation sheets in the learning process of teacher respondents. (4) Test of learning outcomes, (5) Photo documentation. Based on the data analysis, it was found that: (1) The learning process by applying the Group Discussion Method in class V SDN 078489 Orahua in Mathematics subject was improved where the average result of reflection at the end of the cycle reached 84% (2) Student learning outcomes improved with the application of the Group Discussion Method in class V SDN 078489 Orahua in Mathematics subject, where at the end of the cycle the average student learning outcomes reached 80 with a percentage of 81% completeness.
Pengembangan Pelayanan Konsumen Berbasis Web Pada Iron Gym Timika

The rapid development of Information Technology that is happening nowadays, especially in our country, Indonesia, technology is no longer a strange item, it is even indispensable to support the performance of an organization. For now without the support of information technology, a company may be impossible to develop. Iron gym is a sporting business located in Timika, Papua. In this business, there are still many problems in the admin system. For example, such as monthly transaction income, recording member monthly fees, new member registration, supplement ordering and fitness scheduling, all are still recorded manually, sometimes the admin is also an LPA to record income and there are also errors in calculating input because it is still done manually. With the above problems, it is necessary to create a web-based application with the title Designing Administrative Information Systems to Improve Web-Based Consumer Service at Iron Gym Timika in order to make it easier for admins to record member data, monthly fees, buying and selling transactions, scheduling and reducing the risk of errors in calculating income. in addition, so that customers get administrative service satisfaction & accurate information..
AUTOREGRESSIVE FRACTIONAL INTEGRATED MOVING AVERAGE (ARFIMA) MODEL TO PREDICT COVID-19 PANDEMIC CASES IN INDONESIA

Currently the emergence of the novel coronavirus (Sars-Cov-2), which causes the COVID-19 pandemic and has become a serious health problem because of the high risk causes of death. Therefore, fast and appropriate action is needed to reduce the spread of the COVID-19 pandemic. One of the way is to build a prediction model so that it can be a reference in taking steps to overcome them. Because of the nature of transmission of this disease which is so fast and massive cause extreme data fluctuations and between objects whose observational distances are far enough correlated with each other (long memory). The result of this determination is the best ARFIMA model obtained to predict additional of recovering cases of COVID-19 is (1,0,489.0) with an SMAPE value of 12,44%, while the case of death is (1.0.429.0) with SMAPE value of 13,52%. This shows that the ARFIMA model can accommodate well the long memory effect, resulting in a small bias. Also in estimating model parameters, it is also simpler. For cases of recovery and death, the number is increasing even though the case of death is still very high compared to cases of recovery.
EFEKTIFITAS PEMBELAJARAN DARING DALAM PENINGKATAN PEMAHAMAN MATERI MAHASISWA EKONOMI PROGRAM STUDI KHUSUS AKUNTANSI STIE NUSA MEGARKENCANA YOGYAKARTA

AbstractThe 2019 corona virus disease pandemic (Covid-19) is a challenge for universities to find effective solutions so as not to have a negative effect on student learning outcomes. The form of lectures that can be used as a solution during the Covid-19 pandemic is online learning both virtual and learning management system (LMS). This online learning requires students to be more independent in understanding the material provided by the lecturer. This will be an obstacle for courses that are not only understanding theory but require a logical understanding in solving each case, one of which is the Accounting course. In addition to theory, accounting study program requires practice and computational logic. Therefore, researchers want to conduct research to find out how the application of online learning is, the level of student understanding of the material provided and the effectiveness of student online learning in the special STIE Nusa Megarkencana accounting study program which is the impact of the Covid-19 pandemic with the online learning process.The data of this research were taken from students of the special accounting study program STIE Nusa Megarkencana in 2019 - 2020 as the object of research. In collecting data, researchers used a questionnaire using Google From and other documents, books and articles. In this regard, the research used is quantitative research because it uses two variables, for data analysis using Product Moment correlation.Based on the results of the study using the percentage formula and Product Moment, it can be concluded that: (1) the effectiveness of online learning and the level of understanding of the material. Students of the STIE Nusa Megarkencana accounting study program are categorized sufficiently with intervals of 29.54 and 24.31. (2) The effectiveness of online learning in increasing the understanding of student material in the special accounting study program STIE Nusa Megarkencana is stated to have a positive relationship. With rxy = 0.57 and r table = 0.263, which means rxy> from r table so that Ho is rejected and Ha is accepted.Keywords : Online Learning and Comprehension
Beyond Metadata: What Paper Authors Say About Corpora They Use

The growing ecosystem of data sharing in science has put dataset search into the focus.To make data sharing and reuse more feasible, new retrieval tools and services are being developed.Currently, dataset retrieval relies almost exclusively on metadata provided by the publishers.To extend this knowledge source our work studies the task of "dataset review mining" in scientific publications.For the field of Natural Language Processing we collect metadata about datasets from established resources such as the ELRA and LDC catalogs, and then extract review statements about the datasets from ACL Anthology Corpus publications, compiling the Webis-Dataset-Reviews-21 corpus.By analyzing the reviews we identify different categories of what paper authors write about data.To the best of our knowledge, this is the first analysis of this kind in the field of Natural Language Processing, albeit similar analyses have been carried out in the social and medical sciences.Our corpus and the underlying code are shared alongside this paper. 1,2,3
Representing and Interpreting Affective Data

Affective health and well-being is a growing area of research within HCI. My research explores interactions with physiological signals capturing human affect. In particular, I develop alternative representations of affective data leveraging material properties of smart materials and actuators to create awareness and regulation of affect in daily lives.