Reviewerly/exHarmony huggingface dataset:
A STUDY ON THE USEFULNESS OF MOBILE LEARNING IN THE HIGHER EDUCATION SYSTEM IN THE PRESENT SCENARIO IN WEST BENGAL

The subject of our research is to explore the usefulness of mobile learning in the higher education system in the present scenario in west Bengal. The four purposes for which we have studied are - to know the usefulness of mobile learning in the higher education system in the present scenario, to find out the relationship between mobile learning and success rate in higher education at the present scenario, to find out students' attitudes towards mobile learning in higher education to identify factors that influence Mobile learning improvement at the higher education level. A survey research method was used for this study. A total of 145 students participated in the study using a structured online questionnaire containing 31 questions along with 5 point Likert scale. This study reveals that there are many benefits of mobile learning in the higher education system. While students benefit from mobile learning through the use of various educational apps, most of the students are satisfied with the usefulness of mobile learning. This study exhibit that most of the students think that mobile learning has a positive relationship with the success of higher education and mobile learning has a tremendous role in the success of higher education. This study reveals that all students have a positive attitude towards mobile learning in higher education and various factors such as cost-effectiveness, time flexibility, develop plans in the learning process, improves communication process, easy to time management, remote access to the information, creates a good environment for group study etc insure the improvement of mobile learning in higher education.
Staging human-computer dialogs

We demonstrate an application of the Futamura Projections to human-computer interaction, and particularly to staging human-computer dialogs. Specifically, by providing staging analogs to the classi...
Attention-based neural re-ranking approach for next city in trip recommendations.

This paper describes an approach to solving the next destination city recommendation problem for a travel reservation system. We propose a two stages approach: a heuristic approach for candidates selection and an attention neural network model for candidates re-ranking. Our method was inspired by listwise learning-to-rank methods and recent developments in natural language processing and the transformer architecture in particular. We used this approach to solve the this http URL recommendations challenge Our team achieved 5th place on the challenge using this method, with 0.555 accuracy@4 value on the closed part of the dataset.
PENGUATAN PENDIDIKAN KARAKTER DI SEKOLAH DASAR KABUPATEN TABANAN BALI INDONESIA

Quantitatively, this research is conducted at elementary schools in Tabanan Regency and aims to analyze the direct positive influence of: (a) local wisdom on the implementation of KDP (b) literacy on the implementation of KDP, (c) local wisdom and literacy simultaneously on the implementation of KDP. Qualitatively aims to: (a) describe an overview of KDP implementation, (b) formulate a strategy that is appropriate for KDP implementation. The survey research used the Mixed Methods Research method with the triangulation design model. The total population was 319 in 11 sub-districts of Tabanan Regency and a sample of 32 SD. Quantitative data used Multiple Regression Analysis assisted by SPSS 23.0 program, while qualitative data were analyzed descriptively qualitatively using the model of Miles and Huberman (1992). The results of quantitative data analysis: (a) local wisdom has a direct positive effect on the implementation of KDP (b) literacy has a direct positive effect on the implementation of KDP in, (c) local wisdom and literacy simultaneously have a direct positive effect on the implementation of KDP. Qualitative results, that (a) the implementation of KDP in SD in Tabanan Regency is not optimal due to various obstacles, including: lack of guidance by related agencies, schools do not yet have KDP Implementation Operational Guidelines, involvement of community leaders in KDP coaching in schools has not been carried out by most schools, there is no legal umbrella to empower local wisdom in the implementation of KDP; (b) school literacy activities have not been optimally implemented according to the provisions, this is due to the lack of library sarpras, schools do not have school literacy manuals, lack of guidance related to school literacy activities, and the use of information technology in school literacy activities is still lacking. Recommendations: (a) there needs to be a legal umbrella for empowering local wisdom in the implementation of KDP, (b) it is necessary to prepare an Operational Guidebook for KDP Implementation, (c) school literacy activities must be supported through empowerment and optimization of school library facilities, and (d) the seriousness of all parties to participate in the implementation of KDP in SD in Tabanan Regency.
Dynamic Competitive Capabilities and Financial Reporting Quality

Purpose: As competition in the financial markets expands, companies in the field are more successful in enhancing their dynamic capabilities through the creation of unmatched values and resources, allowing them to gain greater market share. Developing these capabilities, while having potential future returns from a competitive perspective, can also improve the level of interaction of the company with stakeholders and enhance the company's competitive performance. Therefore, focusing on the analysis and evaluation of research and development costs can, as a measurable basis, help to better understand the development capacity of companies and disclose it as an information base in the form of financial reporting.The Purpose of this research is the effect of the dynamic competitive capabilities on financial reporting quality.  Method: In terms of purpose, the present study is an applied research and in terms of data collection method, it is a quasi-experimental post-event research in the field of positive accounting research. Eviews software tested the research hypothesis.In this study, 71 companies in Tehran Stock Exchange during the period 2014 to 2018 were studied. In this study, technological capability based on Data Envelopment Analysis (DEA) was used to measure dynamic competitiveness, and the quality of accruals and voluntary accruals was used to measure the quality of financial reporting.  Result: Based on the combined data, the F-Limer test was used to determine the significance or tabularity of the data at the significant level of the model. According to the obtained results, the significance level of F-Limer statistic for all models is less than 0.05, so the null hypothesis of the test is rejected and indicates that the panel data method should be used to estimate the research models. According to the results of this test and its significance level, it was determined that the models should be estimated by the method of fixed effects. According to the results of this test and its significance level, it was determined that the models should be estimated by the method of fixed effects. The results of statistical analysis and testing of research hypothesis showed that technology based on source-based approach has a positive and significant effect on the quality of corporate financial reporting.  Conclusion: This result suggests that with the development of dynamic competitiveness, the company will be more capable of creating more sustainable resources at a competitive market level, which can lead to improved quality of corporate financial reporting. Companies with technological capabilities based on investment in research and development seek to create value and maintain the necessary dynamism in a competitive environment and will strive to timely disclose financial functions and investment in research and development to news stakeholders. Communicate to the company to increase the level of trust and confidence in the company to achieve greater returns.
Reviewing Sentiment Analysis at the Microblog End

The social media space has evolved into a large labyrinth of information exchange platform and due to the growth in the adoption of different social media platforms; there has been an increasing wave of interests in sentiment analysis as a paradigm for the mining and analysis of users' opinions and sentiments based on their posts. In this paper, we present a review of contextual sentiment analysis on social media entries with a specific focus on Twitter. The sentimental analysis consists of two broad approaches which are machine learning which uses classification techniques to classify text, and is further categorized into supervised learning and unsupervised learning; and the lexicon-based approach which uses a dictionary without using any test or training data set, unlike the machine learning approach. The paper explores generic application areas including product/services analysis and security/terrorism investigations.
Aplikasi Inventaris dan Pengadaan Bahan Baku dan Suku Cadang dengan Metode Fuzzy Tsukamoto

PT. Central Texindo is a textile company. This company uses manual system to process all data, therefore the process taking much time, need a lot of papers, and need a lot of space. The manual system requires accuracy from the employees in data processing, because manual systems can cause many human errors. The company need to build a system to manage their data and store the data into a database that can simplify the management of inventory, which previously could not be done manually, and design an inventory procurement planning features that can give advice to the company for next procurement of goods. For the inventory procurement planning feature, fuzzy tsukamoto logic will be applied, fuzzy tsukamoto logic is chosen because this logic calculation is suitable for supporting inventory procurement planning.
Social capital as the basis of intersectoral social partnership

This article considers social capital as the basis for intersectoral social partnership based on the interpretation of the essence of social capital, indentifyning its main features: non-monetary nature, trust, ability to self-growth with increasing frequency of use, allowing successful solving of social problems. Particular attention is paid to trust as the foundation of the organization of social interaction and an indicator of the size of social capital. As a result of comparing the concepts of social capital and intersectoral social partnership, the author identifies a key feature characterizing social capital and intersectoral social partnership – interaction with the goal of development, which in turn allows us to consider social capital and intersectoral social partnership as intercomplementary processes. Based on the consideration of the main features of social capital, its structure and essence as a process, the author concludes that social capital is the basis of intersectoral social partnership, its integral part and necessary basis for the development of civil society and the formation of a social state.
Efficient inter-image relation graph neural network hashing for scalable image retrieval.

Unsupervised deep hashing is a promising technique for large-scale image retrieval, as it equips powerful deep neural networks and has advantage on label independence. However, the unsupervised deep hashing process needs to train a large amount of deep neural network parameters, which is hard to optimize when no labeled training samples are provided. How to maintain the well scalability of unsupervised hashing while exploiting the advantage of deep neural network is an interesting but challenging problem to investigate. With the motivation, in this paper, we propose a simple but effective Inter-image Relation Graph Neural Network Hashing (IRGNNH) method. Different from all existing complex models, we discover the latent inter-image semantic relations without any manual labels and exploit them further to assist the unsupervised deep hashing process. Specifically, we first parse the images to extract latent involved semantics. Then, relation graph convolutional network is constructed to model the inter-image semantic relations and visual similarity, which generates representation vectors for image relations and contents. Finally, adversarial learning is performed to seamlessly embed the constructed relations into the image hash learning process, and improve the discriminative capability of the hash codes. Experiments demonstrate that our method significantly outperforms the state-of-the-art unsupervised deep hashing methods on both retrieval accuracy and efficiency.
Balinese Speech System Towards Speaker Social Behavior

Purpose of the study: The current study was intended to know the Balinese language had a unique speech system levels referred to anggah-ungguh basa, unlike the Indonesian language and the ethical-moral values of the Balinese speech system that positively impacts the social behaviour toward their speakers. Methodology: The present study was a qualitative study that was applied to the structuralism theory. The data were obtained through library research using the note-taking technique. The data collected were analyzed using the analytical descriptive method. Main Findings: There were unique Balinese speech system consists of the fifteen ethical-moral values: (1) religious, (2) honest, (3) tolerant, (4) discipline, (5) creative, (6) democratic, (7) wondering, (8) homeland loving, (9) friendship/communicative, (10) peace-loving, (11) awareness, and (12) responsible. Applications of this study: This study can be useful to the social behavior regarded the way of speaking based on the speech level. Novelty: The uniqueness was due to the respectful attitude of their speakers to one another.
LibGuides: Middle School Digital Learning: Platform Resources

This guide is to provide resources and support for middle school teachers who may be teaching digitally for the first time. Teacher resources for platforms used by Bedford County, TN Schools.
SMART MATERNAL AND FETAL HEALTH MONITORING SYSTEM USING CNN CLASSIFIER

In the modern world, IOT supports the development of fast modernizing medical world. Now days Women’s are facing lot of problems during the pregnancy period who are in the age of under 19 or above 35. To face this issue, Maternal and fetal should have the continuous monitoring during the delivery time. This proposed system continuously monitoring the maternal and fetal signals through the IOT module and provides the solution to the clinical staff during the emergency condition. Blood pressure, temperature, oxygen level, heart rate are monitored for the maternal and fetal and recorded the monitored data for the person who hospitalized under high risk condition. The monitored data are stored in cloud and analyze were done using defined threshold level by the clinical staff. Convolutional Neural Network (CNN) with one dimensional method is proposed for the prediction systems and also provides the health status of fetal and maternal. The Simulation results shows that CNN with one dimensional provides the high accuracy for the prediction of the fetal and maternal health status when compares with the SVM, RF, KNN algorithm
Meaning of Emoticon in Communication User of Social Media Whatsapp

This research discussed about meaning of emoticons in social media WhatsAppgroup. The research aimed at know the meaning of emoticons on the WhatsApp group.This research focused on analyzed the meaning of emoticon interpreted by the sendersin WhatsApp group of 2014 English and Literature Department? and how are themeaning of emoticon interpreted the WhatsApp group who respond to the senders? andthe objective of the research is to know meaning of emoticons interpreted by thesenders in WhatsApp group of 2014 English and Literature Department and and toknow meaning of emoticon interpreted the WhatsApp group members who respond tothe senders using Roland Barthes Theory. Then, the data were analyzed usingdescriptive qualitative method to explain it. The researcher used interview as theinstrument to find out the valid data. This research conducted in order to know themeaning of emoticon, especially in the use of Roland’s semiotic theory, to analyzingthe meaning of emoticon. The finding showed that connotative dominant other thanDenotative meaning. The researcher concluded that emoticons that are inserted in themessage text send not only to represent feelings of pleasure, difficulty, sadness, andhappiness, but the use of emoticons can also be used to strengthen or reinforce themessage text sent.
La didáctica de ELE en el contexto escolar de Senegal: análisis de la construcción de la competencia comunicativa a través de las actividades de aula

espanolAl concluir el ciclo secundario, los alumnos senegaleses de ELE tienen dificultades para comunicarse correctamente y hasta ahora no se ha diagnosticado con exactitud las causas profundas del problema. Asi, con vistas a indicar las razones que ocasionaron tal fenomeno, este articulo se propone analizar la adecuacion entre el discurso aportado y la consecucion de la competencia comunicativa de los discentes. Dicho de otro modo, se busca saber si la ensenanza impartida en las aulas favorece la comunicacion de los alumnos. Para ello, habra que hacer un breve recorrido del diseno curricular, pasar revista a las diferentes actividades propuestas y analizar su pertinencia para la construccion de la aptitud a comunicar. EnglishIn ending the secondary cycle, Senegalese students whose option is Spanish as a foreign language encounter serious difficulties in speaking correctly this language and the true causes of this phenomenon have not been, so far, briefly clarified yet. Thus, in order to point out the founding reasons of such a phenomenon, this paper aims at analyzing the adequacy between the carried out discourse and the achievement of the learners’ communicative competence. In other words, it seeks to find out if the classroom-based teaching boosts learners’ communication. In this case, it is doomed necessary to explore thoroughly the curriculum, explore the different proposed activities and analyze their relevance related to the construction of this skill to put across.
A Dashboard for Cyber Situational Awareness and Decision Support in Network Security Management

This demo paper presents a dashboard for network security management, a web application that visualizes data gathered by various sensors in the network and allows the user to achieve cyber situational awareness and provides decision support in the incident handling process. The dashboard and its underlying database use modern graph-based approaches to data modelling, storing, and querying. The dashboard speeds up routine tasks in incident handling, such as getting a context of a situation and quickly assessing the spread and impact of vulnerabilities. The implementation uses modern graph-based approaches to data storage and visualization.
On the Hardness of the Asymmetric Learning With Errors Problem

Due to the advantages such as the worst-case hardness assumption, lattice-based cryptography is believed to the most promising research direction in post-quantum cryptography. As one of the two main hard problems commonly used in lattice-based cryptography, Learning With Errors (LWE) problem is widely used in constructing numerous cryptosystems. In order to improve the efficiency of lattice-based cryptosystems, Zhang et al. (2019) introduced the Asymmetric LWE (ALWE) problem. In this paper, the relation between the ALWE problem and the standard LWE problem is studied, and it shows that for certain error distributions the two problems are polynomially equivent, which paves the way for constructing secure lattice-based cryptosystems from the ALWE problem.
Resilience of early childhood education teachers in handind new technologies in virtual education due to the COVID-19 pandemic

catalaEn aquest estudi descrivim les estrategies de resiliencia adoptades pel professorat d’educacio infantil en una institucio d’educacio estatal a la ciutat de La Paz, Bolivia, a l’hora de gestionar les noves tecnologies, i tambe informem de les limitacions d’acces a les tecnologies per a l’educacio virtual que han patit els infants i les seves families. A partir de les percepcions del professorat, a les quals hem tingut acces gracies a entrevistes exhaustives i a questionaris en linia sobre la pandemia de la COVID-19, hem constatat que el proces d’adaptacio als requisits en diferents arees ―tenint en compte la vulnerabilitat provocada per la pandemia i els nous reptes que comporta, com l’enregistrament de les classes, l’us de plataformes virtuals, l’adaptacio dels materials didactics i el nou mitja de comunicacio entre professorat, alumnat i families― ha donat resultats que han fet possible l’eficiencia i el reforc de nous vincles que enriqueixen l’educacio dels alumnes i han permes que tots s’adaptin de manera optima i desenvolupin estrategies de resiliencia. EnglishIn this research we set out the resilient strategies adopted by early childhood education teachers at a State education facility in the city of La Paz, Bolivia in handling new technologies and report on the limited access children and their families have to technologies for virtual education. Thanks to insight into the experiences of teachers through in-depth interviews and online questionnaires about the Covid-19 pandemic, it has been found that adaptation to requirements in different areas ʹ taking into account the vulnerability brought about by the pandemic and the new challenges this entails; namely, recording of classes, use of virtual platforms, adaptation of teaching materials and the new medium of connection between teachers, students and parents ʹ led to outcomes that made efficiency possible whereby new bonds were strengthened which foster the education of students, enabling them to adapt optimally, and allowing all of them to develop resilient strategies.
Advanced Machine Translation Techniques Using Deep Learning: A Survey

Machine Translation utilizing Deep Learning (Neural Machine Translation) is a recently proposed way to deal with machine translation. The term Machine Translation is used in the feeling of translation of one language to another, with no human improvement. It can likewise be alluded to as computerized translation. In contrast to the customary factual machine translation, the neural machine translation targets constructing a solitary neural network that can be mutually tuned to amplify the translation execution. This overview uncovers the data about Deep Neural Network (DNN) and deep learning in normal language handling, such as machine translation. It is smarter to utilize Recurrent Neural Network(RNN) in Machine Translation. This paper contemplates different methods used to prepare RNN for other language corpora. RNN structure is confounded, and scheduling a huge corpus is likewise a tedious assignment. Henceforth, ground-breaking equipment upholds (Graphics Processing Unit) is required. GPU improves the framework execution by diminishing preparing timespan.
LibGuides: AUNY - Literacy: Interlibrary Loan

This library guide will help you find resources to support your studies in your pursuit of your Master's of Science in Education in Literacy through AUNY.
ANTITESIS HERO’S JOURNEY DALAM NOVEL SENOPATI AWANG LONG KARYA HERMAN SALAM

This study examines Herman Salam’s Senopati Awang Long Novel. This study focuses on Awang Long’s character as a General in Kutai Kertanegara Kingdom, Eastern of Kalimantan, Indonesia. The theory and approach used to analyze in this study are Hero’s Journey by Joseph Campbell. The method of this study is the qualitative research method. The data collection of this research uses literary research and interview. The result of this research concludes that Senopati Awang Long's novel is an antithesis towards Hero’s Journey theory by Joseph Campbell. There are significant differences between the East Hero (Malay) and the West Hero.