Reviewerly/exHarmony huggingface dataset:
Text-based visual question answering with knowledge base.

Text-based Visual Question Answering(VQA) usually needs to analyze and understand the text in a picture to give a correct answer for the given question. In this paper, a generic Text-based VQA with Knowledge Base (KB) is proposed, which performs text-based search on text information obtained by optical character recognition (OCR) in images, constructs task-oriented knowledge information and integrates it into the existing models. Due to the complexity of the image scene, the accuracy of OCR is not very high, and there are often cases where the words have individual character that is incorrect, resulting in inaccurate text information; here, some correct words can be found with help of KB, and the correct image text information can be added. Moreover, the knowledge information constructed with KB can better explain the image information, allowing the model to fully understand the image and find the appropriate text answer. The experimental results on the TextVQA dataset show that our method improves the accuracy, and the maximum increment is 39.2%.
Logic for exact real arithmetic.

Continuing earlier work of the first author with U. Berger, K. Miyamoto and H. Tsuiki, it is shown how a division algorithm for real numbers given as a stream of signed digits can be extracted from an appropriate formal proof. The property of being a real number represented as a stream is formulated by means of coinductively defined predicates, and formal proofs involve coinduction. The proof assistant Minlog is used to generate the formal proofs and extract their computational content as terms of the underlying theory, a form of type theory for finite or infinite data. Some experiments with running the extracted term are described, after its translation to Haskell.
Transfer non-stationary texture with complex appearance.

Texture transfer has been successfully applied in computer vision and computer graphics. Since non-stationary textures are usually complex and anisotropic, it is challenging to transfer these textures by simple supervised method. In this paper, we propose a general solution for non-stationary texture transfer, which can preserve the local structure and visual richness of textures. The inputs of our framework are source texture and semantic annotation pair. We record different semantics as different regions and obtain the color and distribution information from different regions, which is used to guide the the low-level texture transfer algorithm. Specifically, we exploit these local distributions to regularize the texture transfer objective function, which is minimized by iterative search and voting steps. In the search step, we search the nearest neighbor fields of source image to target image through Generalized PatchMatch (GPM) algorithm. In the voting step, we calculate histogram weights and coherence weights for different semantic regions to ensure color accuracy and texture continuity, and to further transfer the textures from the source to the target. By comparing with state-of-the-art algorithms, we demonstrate the effectiveness and superiority of our technique in various non-stationary textures.
Large-Scale Legal Reasoning with Rules and Databases

Traditionally, computational knowledge representation and reasoning focused its attention on rich domains such as the law. The main underlying assumption of traditional legal knowledge representation and reasoning is that knowledge and data are both available in main memory. However, in the era of big data, where large amounts of data are generated daily, an increasing range of scientific disciplines, as well as business and human activities, are becoming data-driven. This chapter summarises existing research on legal representation and reasoning in order to uncover technical challenges associated both with the integration of rules and databases and with the main concepts of the big data landscape. We expect these challenges lead naturally to future research directions towards achieving large scale legal reasoning with rules and databases.
Internet and higher education: prospects, challenges, problems

espanolEl proposito de este articulo es desarrollar un modelo para optimizar el concepto moderno de informacion de educacion superior basado en las vulnerabilidades clave que determinan su estado actual, problemas y perspectivas de desarrollo. El metodo de investigacion consiste en analisis, razonamiento inductivo y deductivo; un enfoque sistematico, analisis comparativo, generalizacion de la experiencia pedagogica relacionada con la evaluacion del conocimiento y tambien la organizacion del proceso educativo. Los resultados demuestran que el analisis del estado actual, los problemas y las perspectivas de la aplicacion de las tecnologias de Internet en la educacion superior se realizo dentro del marco de investigacion. EnglishThe purpose of this article is to develop a model for optimizing the modern concept of higher education information based on the key vulnerabilities determining its current state, problems and development prospects. The research method consists of analyzing, inductive and deductive reasoning; a systematic approach, comparative analysis, generalization of pedagogical experience related to knowledge assessment and also the educational process organization. Results demonstrate that the analysis of the current state, problems and prospects of the application of the Internet technologies in higher education was conducted within the research framework.
ANALYSIS ON MOVIE RATINGS USING SUPERVISED LEARNING

Movie ratings and reviews at sites such as IMDb are commonly used by moviegoers to decide which movie to watch or buy next. Currently, viewers base their decisions as to which movie to watch by looking at the ratings of movies and also reading some of the reviews at IMDb. Moviegoers can then make a choice on which movie to observe next by selecting those movies having emotion maps with certain emotion map patterns desirable for them. Data science has the art of producing and marketing entertainment at levels never before seen. The field of knowledge science also pops up as meaty material during a sort of films that use predictive analysis, machine learning, and AI as central plot themes. Data science is involved in practically every step of the process, and in this project the analysis on ratings under various emotion contents were examined on the basis of audience acceptance towards the movie.
The Effectiveness of Internet and Mobile Applications in English Language Learning for Health Sciences’ Students in a University in the United Arab Emirates

This study investigates the impact of internet and mobile applications on enhancing students’ language skills. It examines the students’ opinion regarding English online learning using the different internet or mobile applications. The participants were approximately 80 students from RAK Medical and Health Sciences University located in Ras Al Khaimah in The United Arab Emirates. A closed-ended questionnaire was used to collect data from the participants. The results revealed that internet applications have a positive impact on learning English as a foreign language. Students’ attitudes towards using internet applications for learning English scored very high in certain areas, while the impact was lower in some other areas that is related to speaking, listening or to group discussions. Based on these results, the researcher suggests that internet applications can be activated at all stages of English language learning and teaching. The implementation of mobile and internet applications is recommended together with the face-to-face learning as a sort of blended learning. It can be budget friendly for universities and at the same time effortless for the students as long as it gives the same impact as face-to-face learning. Therefore, the significance of the study is to try to utilize the best online technological method for teaching and learning English Language that is useful to instructors, institutions as well as students.
LibGuides: Resources for Excellence Across the Curriculum: Sophonie Desroches

This guide contains resources for students participating in the Annual Student Interdisciplinary Symposium.
Patch assembly for real-time instance segmentation.

The paradigm of sliding window is proven effective for the task of visual instance segmentation in many popular research works. However, it still suffers from the bottleneck of inference time. To accelerate existing instance segmentation approaches which are dense sliding window based, this work introduces a novel approach, called patch assembly, which can be integrated into bounding box detectors for segmentation without extra up-sampling computations. A well-designed detector named PAMask is proposed to verify the effectiveness of the proposed approach. Benefitting from the simple structure as well as a fusion of multiple representations, PAMask has the ability to run in real time while achieving competitive performances. Besides, another effective technique called Center-NMS is designed to reduce the number of boxes for intersection of union calculation, which can be fully parallelized on device and contributes 0.6% mAP improvement both in detection and segmentation for free.
Implementation of C4.5 Algorithm for Analysis of Service Quality in Companies of PT. XYZ

Currently the world's automotive companies are increasing and the development of these companies is very fast, various car companies compete in releasing their products. Resulting in competition in the automotive business world. One of the automotive companies examined in this study was PT. XYZ In the company PT. The XYZ strategy used to attract customers is to consider the quality of their services. If the quality of PT. XYZ is good, so customers will be interested in buying Suzuki products and are loyal to the services provided by Suzuki. Because the customer is an assessor of service quality, in this study researchers used the C4.5 algorithm to measure the quality of services at PT. XYZ The method of collecting datasets is to use surveys. Then the data will be processed using the C.45 algorithm, the company can find out what attributes can determine the quality of good or bad service. The dataset is 500 records, in which researchers use a percentage of 60% for training data and 40% for testing data. From the trial results there is obtained an accuracy of 90%, Precision of 94%, Recall of 95%, and F-Measure of 94%. From the results of the study using the C4.5 algorithm in the existing dataset obtained 10 rules consisting of 3 rules with good service quality conclusions and 7 rules with poor service quality conclusions. This rule will be used to analyze the company's service quality to customers, which are the attributes that influence and the most dominant determines the quality of service.
Pengaruh Video Tutorial Teknik Fotografi Manuel Budijono Di Youtube Terhadap Tingkat Pengetahuan Fotografi Pelajar

Current technology has experienced very rapid progress. One that is influenced by current technological development is digital media, one of them is through video, we can communicate, exchange information, even learn. There are vide facilities on social networks on the internet, such a YouTube we will see that it keeps repeating like our attachment to technology. This study choose a photography technique tutorial on YouTube because there lessons are basic for vocational high school students who just want to choose a multimedia major, students indirectly understand the initial stages on the camera before continuing the next stage of learning. The research aims to find out how much influence the video tutorial on photography techniques of Manuel Budijono on YouTube to the level of photography knowledge of students of Bina Informatika vocational high school majoring in multimedia. This research uses a Quantitative approach with an associative explanatory type survey method and uses Media Ecology Theory. Variable X uses the element concept video success in YouTube according to source of Jefferly Helianthusonfri (2017), and Variable Y uses the concept of knowledge level according to source of Notoatmojo (2012). Data collection was obtained through distributing questionnairs to the subject of research namely student of Bina Informatika Vocational High School Majoring in Multimedia with a total sa,ple 120 respondents. The result of this study based on correlation test of 0,719, showing a strong relationship between X Variable and Y Variable because it is between the correlation number 0,60 – 0,799. Beside this the value of R Square or the coefficient of determination is 0,516 which when presented become 51,6%. It can be concluded that the variable influences the video tutorial of Manuel Budijono Photography techniques on YouTube to the level of photography knowledge of students of Bina Informatika vocational high school majoring in multimedia by 51,6% and the remaining 48,4% is another variable not examined in this study. After doing research, it can be proven that Ha is accepted and Ho is rejected, it can be seen from the Sig. (2-tailed) 0,000 < 0,05, it means that there is and influence on the video tutorial of photography techniques of Manuel Budijono on YouTube to the level of photography knowledge of students of Bina Informtika vocational high school majoring in multimedia.
REVIEW ON DIGITAL IMAGE SEGMENTATION TECHNIQUES

Virtual photography in the aspect of human life plays a very significant function in the modern scenario. Segmenting images is among the most important components of image processing. Image segmentation is the method in which division and partitioning of an image is done and those parts are known as segments. It is an important step to collect data and analyze the image. The aim of segmentation is to reduce the interpretation of a picture into something more meaningful and simpler to interpret. It is used in various fields such as: medical, artificial intelligence, pattern recognition, remote sensing, image-sharpening, colour and video processing, machine learning, robotics, research, etc. It is a field that is broadly researched due to its various applications and extensive usage. This paper provides a brief review of different image segmentation techniques which are commonly used in image processing like, Edge detection, Thresholding, Region Growing.
Creative Writing from Theory to Practice: Multi-Tasks for Developing Majmaah University Students' Creative Writing Competence

This research investigates the efficiency of applying creative writing multi-tasks in developing level 4 female English major students’ creative writing competence. The study conducted for 12 weeks in 2018- 2019 academic year, in Zulfi College of Education, Majmaah University, Kingdom of Saudi Arabia (KSA). The sample consists of 64 female students divided equally into two groups: experimental and control groups. The experimental group studied an advanced college writing course supported by the creative writing multitasks designed by the researcher. A group of pre and posttest design was applied in the study. When the pre and posttest’s scores of the experimental group were analyzed and compared, it was detected that there was a statistically considerable difference in the pre- and posttest scores, in favor of posttest’s score. Also, it shows that there was a significant difference in the mean scores of the experimental and control group posttest’s scores, favoring the experimental group posttest’s score. These results prove the main research hypothesis: Creative writing multi-tasks have a significant impact on developing the experimental group’s creative writing competence, compared to the control group. The findings indicate that using creative writing multitasks has a positive effect on developing the students’ creative writing competence in both fiction and nonfiction essays. It is recommended for English language teachers to adopt similar creative writing multitasks when teaching writing skill.
"Mobile" device

This work invites viewers to see the world through a machine's perspective. People are accustomed to seeing the world through an anthropocentric viewpoint and create things accordingly. What will it be like if machines are creating things through their perspective? Created by the Mechanical Creator, what are the challenges this group of mechanical life forms is facing for survival? How do they live within and adapt to the environment? We know that hermit crabs are using human trash as their shells. What would the mechanical life forms do when they are interacting with their living environment?
Data Mining for Automated Personality Classification

Personality classification is the classification of individuals based on their psychological traits. This project determines the personalities of users based on Myers-Briggs Type Indicator which divides personalities into sixteen different types. We aim to automate the entire procedure by having the individual type a small paragraph about themselves. Various classification algorithms have been compared to find the most accurate algorithm out of all and Logistic Regression was chosen. The multiclassification was done by making groups of two traits and applying logistic regression algorithm binomially to all the groups individually.
Sentiment Analysis on Coffee Consumer Perceptions on Social Media Twitter Using Multinomial Naïve Bayes

Coffee is an Indonesian plantation product that has high competitiveness in the international market. The demand for coffee is influenced by people's perceptions of coffee in Indonesia. People easily provide opinions and opinions through social media. The most popular social media application in all circles is Twitter. The types of coffee that are trending topics on Twitter today are civet coffee, black coffee, sick coffee and bitter coffee. The purpose of this study is to provide an overview of the positive and negative public sentiments towards coffee in Indonesia. In this research, sentiment analysis using Naive Bayes Multinomial has been applied to determine the perception of good or bad in society. The results showed good accuracy such as accuracy, precision, recall of 94%, 99%, 88%. The results of this study prove that the proposed model can be used to analyze sentiments on Twitter texts very well.
Land Subsidence Detection in Jakarta Province Using Sentinel-1A Satellite Imagery

&amp;lt;p&amp;gt;The land surface in DKI Jakarta Province is thought to have experienced relatively continuous subsidence because of natural processes and man-made activities. This research was carried out to evaluate the rate of land subsidence in Jakarta Province. The data used in this study are two pairs of Sentinel-1A level 1 Single Looking Complex (SLC) images which were acquired in 2019 and 2020. The data was processed using the DInSAR method to examine the rate of land subsidence.&amp;amp;#160; The results show that the land subsidence rate in Jakarta Province during the 2019-2020 period varies from 1.8 cm to -10.7 cm/year. From 2019 to 2020, the average land subsidence in the City of North Jakarta is around &amp;amp;#8211;4.9 cm/year, East Jakarta is around &amp;amp;#8211;2.5 cm/year, West Jakarta is around &amp;amp;#8211;4.8 cm/year, Central Jakarta is around &amp;amp;#8211;3.1 cm/year, and South Jakarta about &amp;amp;#8211;2.8 cm/year. Land subsidence occurs mostly in coastal areas and near estuaries caused by the nature of alluvial deposition materials. It has caused damages to road infrastructure in several regions of Jakarta Province, such as Mutiara Beach, West Cengkareng, and Pademangan.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Keywords: coastal areas, DInSAR, land subsidence, satellite imagery, Sentinel-1A&amp;lt;/p&amp;gt;
Help ID robbery suspect Seattle Police detectives say pulled knife on grocery store workers

Tense moments for some grocery store workers in Seattle after witnesses say a man accused of shoplifting pulled out a knife after a worker tried to ask for their merchandise back.
АPPLICATION OF ІCТ IN THE PROCESS OF PROFESSIONAL DEVELOPMENT OF TEACHERS IN HIGHER AND POSTGRADUATE PEDAGOGICAL EDUCATION INSTITUTIONS

The article is based on the analysis of scientific and pedagogical literature determines that the main properties of educational innovations are manifested in systematic changes associated with the transition from the lower quality to higher quality in the organization, monitoring, quality management systems of the educational and scientific process, as well as specific features of mental activity, which is the result of new socio-economic, psychological social processes in the activities and thinking of all its participants. It is noted that the preparation of future teachers for innovation is a long step-by-step process of formation of his personality. It is stated that each institution, as a component of the education system, during the organization and direct implementation of the educational and scientific cognitive process should use the capabilities and capacities of ICT at a sufficient level to solve educational problems – to carry out e-learning, which in turn requires the creation and constant development of informatization of the methodical system of institutions of higher and postgraduate pedagogical education. It is established that the modern system of higher and postgraduate pedagogical education has significant experience in the use of ICT in the process of professional development of teachers. Among them, the most recognized and convenient are hypertext technology, the Internet (e-mail, TV-video conferencing, chat, etc.), «virtual reality» and multimedia technology. It is noted that the use of modern information telecommunication networks has significantly changed the communicative environment, opened new ways to search for information, expanded the range of Internet use in various spheres of life. It has been determined that in recent years in different countries special attention has been paid to the possibilities of using computer telecommunication technologies in the organization of education. They provide effective feedback, which involves both the organization of the study material and communication with the teacher when the need arises. Such learning is called distance learning. The most important for the educational process services provided by the Internet technology are described: e-mail, TV, and video conferencing, «virtual reality». Keywords: professional development of teachers, postgraduate pedagogical education, continuing education.
SATISFACTION WITH THE QUALITY OF DIGITAL EDUCATIONAL PLATFORMS IN 4TH AND 5TH YEAR STUDENTS OF THE FACULTY OF MEDICINE AND SURGERY, URSE

Within the framework of the quality conditions that make it possible to compete in the international market, together with the precarious development of training in virtual environments in Mexico and specifically in Oaxaca, it forced us to be cautious when proposing the minimum guidelines that training courses in order to be considered training programs in virtual environments, virtual environments in the context of education  must be met to be considered as those spaces generated to create and recreate the training, teaching and learning processes; spaces that exhibit as a particular characteristic the appropriation of information and communication technologies to classroom components (ICT´s); In other words, virtual environments have the essential purpose of contributing to the provision of the teaching service, in terms of facilitating didactic communication.