Reviewerly/exHarmony huggingface dataset:
An Efficient and Secure Auditing System of Cloud Storage Based on BLS Signature

Cloud computing users can use the cloud storage service remotely by enjoying various applications and services upon request from a group of cloud computing resources, all without the burden of storing data as well as maintaining it.However, cloud users can no longer possess data and this makes data integrity an important issue.Also, users should use cloud storage as if it is locally, without thinking about verifying the integrity of cloud data.To solve the problems and to provide auditing of cloud storage securely and effectively without additional burden on users, this paper proposes an efficient and secure auditing system of cloud storage that supports auditing and maintains users' privacy based on Boneh-Lynn-Shacham (BLS) signature.Besides, the proposed system worked with dynamic data integrity verification mechanisms as well.The safety and performance analysis of the system has proven the effectiveness and safety of the proposed system.
Dynamic Facet Selection by Maximizing Graded Relevance

Dynamic faceted search (DFS), an interactive query refinement technique, is a form of Human-computer information retrieval (HCIR) approach.It allows users to narrow down search results through facets, where the facetsdocuments mapping is determined at runtime based on the context of user query instead of pre-indexing the facets statically.In this paper, we propose a new unsupervised approach for dynamic facet generation, namely optimistic facets, which attempts to generate the best possible subset of facets, hence maximizing expected Discounted Cumulative Gain (DCG), a measure of ranking quality that uses a graded relevance scale.We also release code to generate a new evaluation dataset.Through empirical results on two datasets, we show that the proposed DFS approach considerably improves the document ranking in the search results.
THE INFLUENCE OF SOCIAL MEDIA TECHNOLOGY WITH REFERENCE TO FACEBOOK ON WORK PERFORMANCE: ORGANISATIONAL FRAMEWORK AS MEDIATOR

&lt;p&gt;Social media such as Facebook has become an essential strategic tool for organisations. Facebook is a platform where a large pool of consumers would use to make purchase decisions. Organisations are designing and maintaining their Facebook account to expand their social networks and build relationships with the public. This research explains current situations regarding the influence of online social media technology with reference to Facebook on employees' work performance in Malaysia. The problem statement focuses on both the public and private sectors in Malaysia. Additionally, various literature was reviewed, indicating the relationship between social media (usage at work, sociability, and trust) and work performance. The mediating role of the organisational framework on the relationship between online social media technology (Facebook) and work performance was also scrutinised to formulate the research hypothesis. The findings of this research established a significant relationship between online social media (Facebook) and organisational framework and work performance. Conclusively, the hypothesis depicted that the organisational framework fully mediates the relationship between online social media technology (Facebook) and employees' work performance in public and private sectors in Malaysia. This study also verifies that both the public and private sector organisations that incorporate Facebook can enhance networking and information sharing, influencing employees' work performance, creating a stable organisational framework, generating value for customers, and improving employee relationships with all stakeholders. In conclusion, work performance can be heightened by a well planned and structured organisational framework. Additionally, through a well planned and implemented online social media technology such as Facebook, an organisation would have a smooth operating organisational framework and a workforce with enhanced performance.&lt;/p&gt;&lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt; Article visualizations:&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;img src="/-counters-/edu_01/0854/a.php" alt="Hit counter" /&gt;&lt;/p&gt;
Geographic Information System of Informatics Alumni Distribution Using Fuzzy Method (case Study: UPN "Veteran" Jawa Timur)

The alumni association is an important organization in a higher education institution. Apart from being a forum for communication between graduates, alumni associations also play a major role in providing information related to career opportunities, as a medium for exchanging training information and knowledge. Informatics Study Program at UPN "Veteran" Jawa Timur already has an alumni association called IKATIFA (Ikatan Alumni Teknik Informatika). Although there is already an IKATIFA information system, the website does not have a specific system regarding alumni information in the world of work. By utilizing Geographic Information System (GIS) can present data specifically by using a map as an interface. In this research, alumni clustering was carried out using a fuzzy algorithm. There are 3 clusters, cluster 1 mean alumni work fields existing is according to study program competency, cluster 2 mean alumni work fields existing is almost according to study program competency, cluster 3 mean alumni work fields existing is not in accordance with study program competency. The test results on the testing data show that as many as 62% alumni work fields existing is according to study program competency, as many as 18% alumni work fields existing is almost according to study program competency, and as many as 20% alumni work fields existing is not in accordance with study program competency.
Report on the EUVIP 2021 Panel Session : Visual Information Processing and Machine Learning at the Crossroads

Over the last few years, we have witnessed a significant interest in developing powerful tools able to answer the ever-growing demands from traditional consumers to advanced technological companies, spanning applications from multimedia to medicine, and from geosciences to space exploration, to mention a few. In all these applications, the human perception of the environment has been a key factor. Within this panel session hosted at EUVIP 2021, we have discussed the synergies between recent machine learning advances and visual perception required to help the development of powerful visual information processing techniques. This session was designed around some key questions that were addressed by three panelists of different and complementary scientific and technical culture and experience. The main objective was to share the experience of these experts, coming from different backgrounds, with the audience on topical issues that concern the evolution of the themes of the EUVIP workshop directly related to the analysis, processing and coding of visual information and applications and how to associate and integrate new approaches and technologies coming from machine learning. At the end of this session, the aim was also to highlight a number of converging points of view, which would give a more or less realistic idea of the promising avenues for future research.
Improvement of Learning Outcomes Theme Healthy Is Important Materials For The Human Blood Circulation System Through Project Based Learning (PJBL) Method In Class Va SDN Rejosari 03 Semarang City In 2020

&lt;p&gt;&lt;em&gt;This study aims to improve the learning outcomes of the theme of healthy is important material for human blood circulation through the pjbl method in class VA students at SDN Rejosari 03 Semarang. The approach used in this research is classroom action research. The population in this study were students of class VA SD Negeri Rejosari 03 Semarang, totaling 27 students 11 boys and 16 girls. Data was collected by means of tests and observations. Tests are given to determine student learning outcomes, while observation aims to determine the difficulties experienced by students when solving problems given by the teacher. The conclusion of this study is that the learning outcomes of the healthy theme are important in the material of the human circulatory system through the pjbl method in class VA of SD Negeri Rejosari 03 Semarang, obtained in cycle 1 students who reached the KKM only found 15 from 27 students or 55.5% while cycle 2 students which reached the KKM as many as 25 from 27 students or 92.5%.&lt;/em&gt;&lt;/p&gt;
Semi-Automatic Construction of Text-to-SQL Data for Domain Transfer

Strong and affordable in-domain data is a desirable asset when transferring trained semantic parsers to novel domains.As previous methods for semi-automatically constructing such data cannot handle the complexity of realistic SQL queries, we propose to construct SQL queries via context-dependent sampling, and introduce the concept of topic.Along with our SQL query construction method, we propose a novel pipeline of semi-automatic Textto-SQL dataset construction that covers the broad space of SQL queries.We show that the created dataset is comparable with expert annotation along multiple dimensions, and is capable of improving domain transfer performance for SOTA semantic parsers.
ANALISIS KEBIJAKAN AKUNTANSI KOLEKSI BAHAN PUSTAKA SEBAGAI BARANG MILIK NEGARA DI INDONESIA

ABSTRACT&#x0D; The research aims to analyze the conditions of practice and accounting policies for library material collection transactions within Government Accounting Standards/Bultek based on IPSAS and BMN regulations and to provide objective input forms required for specific accounting policies related to library collections as BMN in National Library within Guidance Notes No. 2 Accounting for Library based on IPSAS. This case study qualitative research uses instruments resulting from in-depth interviews, document studies and focus group discussions with National Library, Ministry of Finance and KSAP. The results show that current accounting policies cause technical problems in the recognition and measurement of collections of library materials as assets, resulting in inaccurate data collections of library materials as assets and collections, besides media transfer transactions and digitalization innovations that have not been accommodated in policies, other matters are processes. The library business is not yet in sync with accounting policies including existing information systems. It requires specific accounting policies related to library material collections with objective input in the form of: classification and judgment arrangements, recognition, measurement, media transfer transactions and digitization, including information systems that refer to Guidance Notes and will need to be adjusted to the existing conditions in the National Library. &#x0D;
Instagram Interactive Face Filter To Motivate Speaking Skill Among Year 5 ESL Learners in Rural Sabah: Pupils' Perception

Recently, many students globally have embraced social media to facilitate learning.This study investigates the perception of students in using Instagram interactive face filters to enhance their speaking skills.The study is significant in identifying main areas in online learning and helps to understand the importance of using technology in learning.By researching how pupils perceive the use of interactive face filters in online learning, the study indicates that there are improved learning outcomes.Teachers, students, and institutions can use the present study to incorporate interactive online learning.The research uses a systematic method to gather, interpret, and draw conclusions of the research data; a quantitative survey method to collect data.The participants comprised 30 of the year five pupils of mixed levels from a Chinese school in rural Sabah.Data was collected online using Google Form, which comprised the questionnaire that participants filled.Regarding perception of students on using Instagram 100% of the respondents agreed that the application helps them in language learning and the necessity of it in learning speaking skills.Also, 80% of the respondents strongly agree that using Instagram is more enjoyable than regular speaking activity and the other 20% agree with the statement.These findings supported the TAM model, which suggested that pupils will be more attracted to incorporate new technology in their learning.The result also found that pupils are having fun and are more relaxed in speaking the English language while trying out the filters, thus motivating them to speak English more confidently.Education stakeholders should perform broader research on the topic to ensure more reliable findings.Since the current research was drawn from only 30 participants, there is a need to acquire data that can be used in a larger spectrum.
Federated Learning for Spanish Ports as an Aid to Digitization

Abstract The Spanish Port System is immersed in the process of digital transformation towards the concept of Ports 4.0. This entails new regulatory and connectivity requirements, making it necessary to implement the new technologies offered by the market towards digitalization. The digitalization of the individual processes in a first step helps the exchange of digital information between the members of the port community. The next step will mean that the information flow between the participants of a port community is done in a reliable, efficient, paperless way, and thanks to technologies. However, for the Spanish port sector, data exchange has a competitive disadvantage. That is why Federated Learning is proposed. This approach allows several organizations in the port sector to collaborate in the development of models, but without the need to directly share sensitive port data among themselves. Instead of gathering data on a single server, the data remains locked on your server, and the algorithms and predictive models travel between them. The goal of this approach is to benefit from a large set of data, which contributes to increased Machine Learning performance while respecting data ownership and privacy. Through an Inter-institution or “Cross-silo FL” model, different institutions contribute to the training with their local datasets in which different companies collaborate in training a learning machine for the discovery of patterns in private datasets of high sensitivity and high content. This environment is characterized by a smaller number of participants than the mobile case, with typically better bandwidth and less intermittency.
STUDENTS’ PROBLEMS IN ANSWERING LISTENING SECTION OF TOEFL AT NON ENGLISH STUDY PROGRAM OF UPN VETERAN JAKARTA

This research aimed to find the problems that students did in answering TOEFL especially in listening section. The research used descriptive qualitative approach. For the data collection, it used the instrument is interview. The subjects of the research were non english department students in seventh grade of FIKES Universitas Pembangunan Nasional Veteran Jakarta. To analyze the data, it was through the techniques: data collection, data display, data reduction, and conclusion drawing. 25 seventh semester students of Nursing Study Program participated in this study selected by using random sampling techniques. Descriptive qualitative method was used in this research. The results of this research indicate that the difficulties experienced by students based on the the interview are difficultiy in their concentration while listening, difficulty regarding vocabulary meaning, difficulty in catching meaning in long and speed conversation, and difficulty in recognizing unfamiliar topic.
Siamese Progressive Attention-Guided Fusion Network for Object Tracking

For the most of object tracking algorithms using siamese networks, the semantic feature derived from the last layer of the backbone network is used to calculate the similarity.However, the use of single deep feature space often leads to partial loss of effective information.To address this issue, the siamese progressive attention-guided fusion network is proposed.First, the deep and shallow feature information is simultaneously extracted using the backbone network.Second, a top-down strategy is adopted to gradually encode and fuse deep semantic information, as well as shallow spatial structure information is obtained from the progressive feature aggregation module.We then use attention module to reduce feature redundancy that generated by fusion.Last, the optimal solution of object tracking is formed by calculating the similarity between the target and search area.By means of attention module, the tracker can selectively integrate multi-level features information to enhance the performance of the applications.As compared with SiamDW and other traditional methods, experimental results conducted on the five common tracking benchmarks including OTB2013, OTB50, OTB2015, VOT2016 and VOT2017, demonstrate that the effectiveness of the proposed algorithm in terms of tracking accuracy and success rate.
The impact of periodic change of the external auditor on the credibility of financial reports in Sudanese banks

This study aims to measure the impact of periodic change of the external auditor on the credibility of financial reports in Sudanese banks. The target population of the study were the employees in Sudanese banks in Khartoum State. The study used descriptive analytical approach where the questionnaire is used as a tool for data collection. 200 questionnaires were administered to the targeted sample, and 172 were completed and returned with a recovery rate of 86%. However, by using linear regression for analysis, the result found that there is a significant effect of the periodic change of the external auditor on the credibility of financial reports of the Sudanese banks, the results revealed that there is a need for moral obligations, integrity, and honesty in issuing high-quality of financial reports to gain trust among users.
Multivariate Statistical Evaluation of Geochemical Data from Quartz Vein-Associated Gold Mineralisation at the Badukrom Prospect within the Tarkwaian Base

The Kawere conglomerate at the base of the Tarkwaian Group in the Iduapriem Mine appears to show good prospect for hydrothermal gold mineralisation evidenced by major structures mapped from magnetic and Airborne Electromagnetic (AEM) geophysical data. Detailed geological mapping and sampling at Badukrom target which lies within the Kawere rocks confirm the presence of multiple structures as well as quartz veins indicative of potential hydrothermal gold mineralisation. Follow up soil sampling conducted within the area revealed a strong anomalous trend from the southern portion. Two diamond drilled (DD) holes pushed to delineate the extent of the anomalous zones returned narrow veins of significant gold intersections. Twenty-five (25) samples of the Badukrom hydrothermal Au mineralisation intersects were sent for analysis to ascertain the optimum pathfinder element suite for the hydrothermal targets within the Iduapriem concession. A total of fifty-nine elements were analysed via ICP-MS and ICP-OES. Multivariate statistical evaluation was carried out on the results to understand the geochemical associations of Au and the other elements to aid future exploration programmes planned for the hydrothermal targets. Multivariate analysis of the geochemical data using Pearson product-moment of correlation suggests a stronger positive correlation of gold with Iron, Antimony, Sulphur, Chromium, Vanadium respectively. However, the Spearman Rank correlation data indicates that, the optimum pathfinder elements for hydrothermal Au are: As, Sb and Te.&#x0D; &#x0D; Keywords: Tarkwaian Base, Statistical Evaluation, Hydrothermal Mineralisation, Geochemical Data
THE IWSLT 2021 BUT SPEECH TRANSLATION SYSTEMS

The paper describes BUT's English to German offline speech translation (ST) systems developed for IWSLT2021.They are based on jointly trained Automatic Speech Recognition-Machine Translation models.Their performances is evaluated on MustC-Common test set.In this work, we study their efficiency from the perspective of having a large amount of separate ASR training data and MT training data, and a smaller amount of speechtranslation training data.Large amounts of ASR and MT training data are utilized for pretraining the ASR and MT models.Speechtranslation data is used to jointly optimize ASR-MT models by defining an end-to-end differentiable path from speech to translations.For this purpose, we use the internal continuous representations from the ASR-decoder as the input to MT module.We show that speech translation can be further improved by training the ASR-decoder jointly with the MT-module using large amount of text-only MT training data.We also show significant improvements by training an ASR module capable of generating punctuated text, rather than leaving the punctuation task to the MT module.
STUDENTS’ ATTITUDE TOWARD THE USE OF INTERNET IN ENGLISH CLASSROOM

Related literature indicates that the internet has an important role and great potential in language learning. It is also obvious that the attitudes of students affect the learning process significantly. This research aimed to find out the students’ attitude toward the use of the internet in English classrooms. The design of this research was survey research in which the sample was collected from 37 students at SMK Pembangunan Bukittinggi which used simple random sampling as the technique sampling of the research. Additionally, the analysis of the data was done by identifying the respondent’s responses, analyzing the data, and making a conclusion. The result showed that the mean score of students’ attitudes toward the use of the internet in the cognitive aspect was 3.7. It means that the students had a positive attitude in the cognitive aspect. Besides, the mean score of students’ attitudes toward the use of the internet in terms of the affective was 3.3. It means the students had a positive attitude toward the use of the internet in terms of affective. In addition, the mean of the conative attitude statement was 3.4. It means the students had a positive attitude in the conative aspect related to the use of the internet.
Arguments extraction for e-health services based on text mining tools

The task of recognizing arguments and their components in text is known as argument extraction.Most arguments might be broken down into a petition and at least one premise that support it.A method to extract arguments is suggested in this work.The major words which are of high importance in arguments extraction were included in the suggested method on the basis of Arabic lexicon.The lexicon tool was used to apply classic text mining stages.The dataset, which includes over 3000 petitions, was collected from the Citizen Affairs Department in the Ministry of Health-Iraq.In addition, the experimental results exhibit that the suggested method extracts arguments from collected dataset with a 93.5% accuracy ratio.