Reviewerly/exHarmony huggingface dataset:
Visual Relationship Learning for Cross-Modal Retrieval

With the rapid development of deep neural networks, multimedia data has been greatly enriched during the past few years. Searching among multimedia data with a variety of modalities (i.e., cross-modal retrieval) has become a central research topic due to its ability to better express semantics compared to simple uni-modal search. These methods give amazing results in many areas, but it is difficult to deal with many objects and relationships faithfully reproducing complex sentences. In this paper, we propose a novel approach for image-sentence retrieval to overcome this limitation. Our approach leverages the semantic expressiveness of the scene graph and incorporates it into a deep neural network model for more efficient retrieval. We demonstrate the effectiveness of this approach in real-world and simulated computer vision tasks. Extensive experiments show that our method can significantly improve the accuracy of the image-sentence retrieval task.
ASSESSMENT OF IMPACTS OF E4.0 ON HIGHER EDUCATION AND BREAKTHROUGH SOLUTIONS TO IMPROVE THE QUALITY OF HIGHER EDUCATION IN VIETNAM TODAY

The article presents the nature, role, and limitations of Vietnam’s higher education in accessing I4.0. At the same time, based on analyzing general perceptions of quality, the article gives arguments for breakthrough solutions, especially deeply analyze practical factors that suggest further breakthroughs, thereby drawing breakthrough lessons to improve the quality of higher education in Vietnam today.
Development of automatic inspection device for pipe inner surface

Abstract Aiming at the problem of 3D measurement of the inner surface of pipe, this paper develops a new structure of pipe inspection device inside the pipe based on the principle of laser triangulation. The device is composed of motion mechanism and image acquisition system. The three-dimensional shape of the inner surface is reconstructed the image pixel offset. The detection device driven by the motion mechanism can realize the automatic detection of different positions. The experiment shows the steps of the three-dimensional measurement of the inner surface of the pipe, verifies the feasibility of this method.
Adopting Continuous Integration, Continuous Delivery, Continuous Deployment, and Continuous Testing in DevOps

Nowadays, Software companies are required to deliver features and products frequently, faster, and seamlessly. To accomplish these, the software delivery pipeline should be agile and must diverge from traditional waterfall practices. This needed shift from traditional software development practices to a presumably better approach birthed a new practice called DevOps. DevOps is a set of practices breaching the gap between development (Dev) and IT operations (Ops). Derived from agile practices, DevOps looks to shorten the software development life cycle providing continuous delivery and testing and ultimately, ensure higher software quality.
Self-Supervised Neural Topic Modeling

Topic models are useful tools for analyzing and interpreting the main underlying themes of large corpora of text. Most topic models rely on word co-occurrence for computing a topic, i.e., a weighted set of words that together represent a high-level semantic concept. In this paper, we propose a new light-weight Self-Supervised Neural Topic Model (SNTM) that learns a rich context by learning a topic representation jointly from three co-occurring words and a document that the triple originates from. Our experimental results indicate that our proposed neural topic model, SNTM, outperforms previously existing topic models in coherence metrics as well as document clustering accuracy. Moreover, apart from the topic coherence and clustering performance, the proposed neural topic model has a number of advantages, namely, being computationally efficient and easy to train.
Clustering Monolingual Vocabularies to Improve Cross-Lingual Generalization

Multilingual language models exhibit better performance for some languages than for others (Singh et al., 2019), and many languages do not seem to benefit from multilingual sharing at all, presumably as a result of poor multilingual segmentation (Pyysalo et al., 2020).This work explores the idea of learning multilingual language models based on clustering of monolingual segments.We show significant improvements over standard multilingual segmentation across nine languages on a question answering task, both in a small model regime and for a model of the size of BERT-base.
FULL-DAY SCHOOL ACTIVITIES AND ENGLISH LEARNING MOTIVATION: ITS EFFECCT

Some experts say that full-day school is a good program to increase learning motivation of students because the students have more time in school, so they also have more time involved in school activities, especially in classes that lead to high productivity. The purpose of this study is to determine the significant effect of full-day school activities on English learning motivation in the eleventh-grade students of SMAN 1 Jenangan. It employed quantitative research used ex-post facto design. The population were 70 taken from the eleventh-grade students of SMAN 1 Jenangan. Data collection techniques are questionnaires, observation and research documentation. Data were analyzed using a simple linear regression formula using SPSS 23 windows. The result showed that R squared was 0,068. The value of Ftest was higher than the level of Ftable.Ftest4.997>Ftable3.93 and the equation regression model is Y = 23,434B + 0,217X. In addition, regression model equation is significant because it has already fulfilled the criteria of linearity. Finally, the equation regression model is Y = 23,434B + 0,217X. It means that Ha was accepted and H0 was rejected. Thus, it can be concluded that there is a significant effect of full-day school activities on English learning motivation at the eleventh graders of SMAN 1 Jenangan. It implies that full-day school activities have a good effect on increasing students learning motivation in English.
On the Equivalence between Neural Network and Support Vector Machine

Recent research shows that the dynamics of an infinitely wide neural network (NN) trained by gradient descent can be characterized by Neural Tangent Kernel (NTK) \citep{jacot2018neural}. Under the squared loss, the infinite-width NN trained by gradient descent with an infinitely small learning rate is equivalent to kernel regression with NTK \citep{arora2019exact}. However, the equivalence is only known for ridge regression currently \citep{arora2019harnessing}, while the equivalence between NN and other kernel machines (KMs), e.g. support vector machine (SVM), remains unknown. Therefore, in this work, we propose to establish the equivalence between NN and SVM, and specifically, the infinitely wide NN trained by soft margin loss and the standard soft margin SVM with NTK trained by subgradient descent. Our main theoretical results include establishing the equivalence between NN and a broad family of $\ell_2$ regularized KMs with finite-width bounds, which cannot be handled by prior work, and showing that every finite-width NN trained by such regularized loss functions is approximately a KM. Furthermore, we demonstrate our theory can enable three practical applications, including (i) \textit{non-vacuous} generalization bound of NN via the corresponding KM; (ii) \textit{non-trivial} robustness certificate for the infinite-width NN (while existing robustness verification methods would provide vacuous bounds); (iii) intrinsically more robust infinite-width NNs than those from previous kernel regression. Our code for the experiments are available at \url{https://github.com/leslie-CH/equiv-nn-svm}.
Perceptual and technical aspects of live coding music performance using statistical learning

Live coding is the creative act of interactive code evaluations and multimodal assessments during the execution of a running program. In the context of music-making, the composer-programmer employs auditory percepts by means of appreciation and planning of present and future code evaluations. Thus, a weave of musical imagery and music listening facilitates the interplay between novel code evaluations and rigidly structured computations. Machine listening has been shown to be a prominent approach to control live coding and is typically correlated with perceptual assessments. Such developments have enabled the advent of statistical analysis of sequential dependencies between acoustical features during performance. Here, we will present a demo of a live coding session based on an OSC protocol binding between SuperCollider and Python libraries for statistical learning. The system presented can perform window-based feature transformation of the extracted acoustical features, which consequently modify numerical parameters of the composition. A typical window size may be hundreds of milliseconds long, so that is multiple times the window size of feature extraction. This is done by storing the numerical values of the extracted features in plain text files. The approach used here aims to facilitate the understanding of the user and promote a human-centric approach to AI. Possible applications may be used for educational purposes and live music performances.
An Analysis of Announcement Text Elements Affecting Students’ Reading Ability at Second Grade Natural Science Of SMA N 1 Bonjol.

Reading is a process to get knowledge, information, and the ideas. According to Stephenson & Harold (2009), reading is a part of the way we use language in daily life to gather information, communicate with others, and also for enjoyment. In senior high school, there are some of texts that should be studied. One of them is functional text. According to Dewisudjia (2011), short functional text is a short text that contains of command, instruction, something that should be done or should not be done in the form of prohibition, invitation, greeting card, short message, shopping list, notice, announcement, and many others. Relating to this, the researcher conducted this study on purpose of describing announcement text elements affecting students’ reading ability.The population of this research was the second grade natural science of SMA N 1 Bonjol. The number of sample was 92 students selected by using cluster random sampling technique. The data of this research were gathered by reading test in the form of multiple choice items. Before the researcher gave the real test, she tried it out since the instrument was categorized as non standardized test. The result of the try out test was used to know the reliability of the test. It was found that the reliability of the test was high (0.70).The result of this research shown that in general, the students’ reading ability in announcement text elements was low. It was indicated by the fact that 54 students (58.7%) had low ability in comprehending the text. Specifically, the students’ ability in comprehending the opening of announcement text was low. It was indicated by the fact that 47 students (51.1 %) had low ability. The students’ ability in understanding the content of announcement text was low. It was indicated by the fact that 69 students (75 %) had low ability. The students’ ability in understanding the closing of announcement text was high. It was indicated by the fact that 57 students (62 %) had high ability. It means that, the students have not understood yet in opening and content of announcement text elements.From the finding of this study as discussed above, it can be concluded that the students will get high ability, if they have knowledge to get the information about the text. Dealing with such conclusion, it suggested to the English teachers to explain more and give exercises in reading comprehension of text.Key words: Announcement Text, Text Elements, Reading Ability
DEVELOPING SUSTAINABLE FOREIGN LABOUR ENTRY REQUIREMENT POLICY IN MALAYSIA

Most countries in the world have accepted and implemented public policies aiming to promote sustainable development.The 2017 Malaysia Voluntary National Review report to the United Nations (UN) has stated that the country's quest for sustainable development can be traced back to the 1970s.Since then, numerous fiveyear-long development plans have sought to promote sustainable economic growth and equitable distribution of the resulting benefits for social transformation.However, over the decades, this has resulted in an ever-increasing dependence on both legal and illegal foreign labour.This problem has been investigated by evaluating the concept of sustainable policy in terms of its influence in Malaysia's foreign labour entry requirement, which resulted in changes for sustainable development.A qualitative research approach was used and key stakeholders were identified through purposeful sampling.Face-to-face in-depth interviews were undertaken to understand the concept of sustainable policy in Malaysia's foreign labour entry requirement and its challenges.All data obtained were analysed and interpreted through a constant comparative approach.Sustainable policymaking theory and past experience in planning suggested that various participants, commitment and knowledge are needed to formulate a sustainable policy while promoting sustainable development in foreign labour's entry requirement.
Transformer based Neural Joke Generator

Humor is a complex and intrinsic part of human conversation, which involves a deep understanding of grammatical structure and knowledge of the world.Building computational models that can identify and generate humor remains a challenging field.This work presents a neural network based joke generator that employs a transformer-based architecture.To improve the generator's performance, the model was further trained with Proximal Policy Optimization (PPO), a reinforcement learning algorithm.The model's performance was evaluated by human ratings by conductingqualitative analysis.
Capacity building with Nanotechnology: Advanced trends under Make in India

Its known fact that science is progressing at a very fast pace in current scenario.  Everyone is looking eagerly for answers to manmade situations that are probably preventable or can be reversed to help environment, advance medicine, space applications et al. Research engineers in general and Mechanical engineers across the globe are engaged in finding answers that would resolve these global pressing problems. Nanotechnology is an emerging inter-discipline science with revolutionary potential for producing new materials (stronger and higher strength composites), improving energy efficiency, and creating new diagnostic tools and therapies for medical applications. Nano fibers, Solar cells, usage of light materials help immensely in space applications. Corrosion and prevention of such corrosion are other areas non-tech applications are being worked out that help Environment impact.  We are using plasmas to produce nano-scale coatings with improved hardness and wear resistance. We are exploring applications of highly uniform semiconductor nanocrystals, as building blocks for more efficient lighting, solar cells, and thermo-electric devices and, we are working on new nano particle-based medical imaging techniques and cancer therapies. Concerns have been raised about possible unanticipated health effects associated with exposure to such nanomaterials.  Researchers in the Mechanical Engineering Departments globally are working in all these areas.  Our paper tries to illustrate emerging possibilities and thrust that can be provided in India under the current Make in India context.  It tries to extend the conceptual application boundary that TERII (The Energy Research Institute of India) framework for emerging nano-technology development in India.How to cite this article:Sreekanth DV, Patra PSK. Capacity building with Nanotechnology: Advanced trends under Make in India. J Adv Res Embed Sys 2021; 8(1&2): 8-13.
Four-dimensional and multidimensional images

In this paper I critically address the indexical qualities of archaeological reproductions in order to question the ontological stability of ancient imagery. To do this I employ Karen Barad’s diffractive methodology (Barad 2007; 2014) to consider images in a series of differing ways. I begin by considering the interpretative or semiotic character of images in archaeological analysis; the image in motion presented by anthropological approaches; the digital image as produced in Reflectance Transformation Imaging (RTI). These series of diffractive moments will then be used to describe images from the Neolithic period of Britain and Ireland, and in turn consider the ontological character of digital images produced by RTI.
The Impact of Using Digital Publishing in Enhancing Scholarly Production in Bahrain: DOI: 10.46988/IJMMC.03.01.2021.01

This study, effect of researchers in the Kingdom of Bahrain's use of digital publishing in enhancing the level of scientific production, comes to highlight the role of electronic publishing via the Internet in enriching and increasing the scientific output of academics in Bahraini private universities. The study aims to monitor the size, obstacles, and motives of academics' use of electronic publishing on the Internet and ways to employ them to benefit from studies and scientific references to enrich scientific output, given that the Internet has become one of the most important diverse and fast sources and contains a huge amount of information that is easily accessed without complications or administrative or financial instruments.The study used a questionnaire form as a tool to collect study data, and the analysis was applied to a sample of 252 faculty members working in Bahraini private universities.The study followed the descriptive approach that is appropriate to the nature of this study, which is concerned with investigating opinions about motives and uses.The study found a set of results, the most important of which is the validity of the hypothesis that there is a positive statistically significant correlation between the use of academics in Bahraini private universities for electronic publishing on the Internet and their scientific production. The more academics in Bahraini private universities use electronic publishing on the Internet, the higher their level of scientific output. The study also revealed a statistically significant correlation between the use of academics in Bahraini private universities to publish online on the Internet and years of experience. The study showed that 81% of the elderly use the Internet continuously and the same, and 74.2% have high skills in using research techniques. The study also demonstrated the interest of Bahraini private universities in spreading the culture of electronic publishing among the teaching staff. Finally, the study confirmed that one of the most important problems facing academics in using electronic publishing on the Internet is the lack of free access to some scientific sites—poor English language proficiency.
Implementasi Sistem Informasi Akuntansi Berbasis Website pada Sekolah Insan Teladan Pekanbaru

Pekanbaru Teladan Insan School is an educational institution engaged in the service sector. In managing and recording the school finances, the treasurer makes use of spreadsheets and books in recording transactions that are classified as simple. The results of interviews with the school treasurer, financial records are still made manually and in finding the required transaction history data, the treasurer needs to look for the financial reports that have been archived, as a result the financial reports to be submitted to the head of the Foundation need to be corrected because there are errors in the calculations and the time for submitting financial statements takes 1-3 working days. The solution to the existing problems is to build an accounting information system that replaces the manual process. The “Website-Based Accounting Information System” for the Pekanbaru School of Exemplary People is designed to assist the school treasurer in handling the recording of routine transactions which include income, school expenses, and others. The results of transactions carried out by the treasurer will be directly evaluated by the head of the Foundation through the system. Based on the tests that have been done using the Test Case from Black Box Testing, the results are 100% by testing 44 items. The results of the test of accounting experts, namely PCR lecturer Fifitri Ali, S.S.T., M.Sc, that the system has met accounting standards in the service sector
DEVELOPMENT OF CREATIVE ABILITIES OF STUDENTS IN ART CLASSES

The article reveals the peculiarities of the development of creative abilities of students in classes of fine arts. The scientific works on the problem have been analyzed. The actuality of this problem has been proved.
МЕДІЙНІ МАНІПУЛЯЦІЇ ДОВІРОЮ ЦІЛЬОВОЇ АУДИТОРІЇ

&lt;p&gt;&lt;strong&gt;&lt;em&gt;The purpose of the article.&lt;/em&gt;&lt;/strong&gt;&lt;em&gt; Unscrupulous media use manipulative influence to shape public opinion, in some cases it can be considered effective. The purpose of the study is to investigate the peculiarities of the perception of the target audience for which the content is created and the potential trust of this audience to the published.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Research methodology.&lt;/em&gt;&lt;/strong&gt;&lt;em&gt; The article uses a general scientific method of analyzing the literature on the subject, namely – the question of trust of the target audience and methods of manipulation of media recipients. During the study, empirical methods were used to observe the object of study and compare the results of the survey, also complex methods of analysis and synthesis were used to interpret the results obtained during the research.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Results.&lt;/em&gt;&lt;/strong&gt;&lt;em&gt; Researcher O. Fedorov argued that manipulation can be destroyed by three ways of critical analysis, which depends on the levels of perception of information by the audience: naive-primitive/fable (emotional), plot-motivational (sensory), creative/complex identification (mental). This statement was taken as a basis in a survey of 212 people to find out how recipients react to what is published and what exactly can affect them. Three questions were asked regarding the levels of perception of information. The first question was whether the recipients would agree with what was said if the journalists would express themselves emotionally during the TV show, the second question – about the story in general and the rationale for the information presented in it, the third question is about the importance of arguments and facts.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Novelty.&lt;/em&gt;&lt;/strong&gt;&lt;em&gt; The survey found that it is most effective to manipulate the audience with: emotional presentation of information; forgery of evidence, ie manipulation of information, violating journalistic standards; spectacular the method of presenting information; slow and consistent impact through published materials; using subtexts in seemingly reasoned logical materials.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Practical significance.&lt;/em&gt;&lt;/strong&gt;&lt;em&gt; The most effective manipulations of the target audience that can be carried out by mass media are defined, also ways of detection of influence of dishonest media are offered.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Key words:&lt;/em&gt;&lt;/strong&gt;&lt;em&gt; mass media, manipulations, trust.&lt;/em&gt;&lt;/p&gt;