Reviewerly/exHarmony huggingface dataset:
A Clothing Retrieval Model Based on DenseNet and Multi-Similarity Loss

Abstract With the rapid development of deep learning in recent years, Deep Neural Network structure has been applied to all aspects of image algorithm, including image classification and recognition, target detection, image retrieval. Image retrieval is suffering from some challenges, such as crease, cover, background. Based on these challenges, using the local information of the image to replace the image is proposed which learns embedding vectors by local information to reduce noise interference. Inspired by the above discussion, a new deep learning model named IAPM (Integrated and Partial Model) is proposed in this paper. According to global information and local information, Joint training is carried out. For feature extraction, DenseNet is used to extract the feature vector. And the idea of transfer learning is applied to transform classification problems to retrieval problems. Meanwhile, the multi-task model is adopted to construct a framework, and Multi-Similarity Loss is used to pull the position of the embedded vector in feature space. Experimental results show its effectiveness.
Intelligent Tutoring Systems for Generation Z’s Addiction

As generation Z's big data is flooding the Internet through social nets, neural network based data processing is turning an important cornerstone, showing significant potential for fast extraction of data patterns. Online course delivery and associated tutoring are transforming into customizable, on-demand services driven by the learner. Besides automated grading, strong potential exists for the development and deployment of next generation intelligent tutoring software agents. Self-adaptive, online tutoring agents exhibiting intelligent-like behavior, being capable learn from the learner, will become the next educational superstars. Over the past decade, computer-based tutoring agents were deployed in a variety of extended reality environments, from patient rehabilitation to psychological trauma healing. Most of these agents are driven by a set of conditional control statements and a large answers/questions pairs dataset. This article provides a brief introduction on Generation Z's addiction to digital information, highlights important efforts for the development of intelligent dialogue systems, and explains the main components and important design decisions for Intelligent Tutoring System.
Using K-means algorithm for regression curve in big data system for business environment

Predictive analysis quickly becomes a decisive advantage for desired range of Business activities. It involves methods and technologies for organizations to identify models or patterns for data. Big data bring enormous benefits to the business process. Big data properties such as volume, velocity, variety, variation and veracity, render the existing techniques of data analysis not sufficient. Big data analysis requires the fusion of regression techniques for data mining with those of machine learning. Big data regression is an important field for many researchers, several aspects, methods, and techniques proposed. In this context, we suggest regression curve models for big data system. Our proposition is based on cooperative MapReduce architecture. We offer Map and Reduce algorithms for curve regression, in the Map phase; data transform in the linear model, in the reduce phase we propose a k-means algorithm for clustering the results of Map phase. K-means algorithm is one of the most popular partition clustering algorithms; it is simple, statistical and considerably scalable. Also, it has linear asymptotic running time concerning any variable of the problem. This approach combines the advantage of regression and clustering methods in big data. The regression method extract mathematic models, and in clustering, k-means algorithm select the best mathematic model as clusters.
A new technique for data compression

Abstract Data compression has become more important than ever, due to the increasing demand for internet use and the exchange of a huge amount of images, videos, audio and documents as well as the growing demand for electronic archiving by government departments that produce thousands of documents per day. In this paper, the proposed technique for document compression will be presented.The proposed technique is a lossless and completed technique it is consists of two parts the compression part and decompression part. The compression part contains of some basic stages such as: pre-processing, blocks processing, run length encoding(RLE), replace maximum values by unused values, minimize levels, delta encoding, compression of ones values, encryption. After the encryption process is complete, the outputs are stored in two separate binary files with the extension of bmp;one of them is the header file and is considered a key for the second file which contains the compressed data. This technique applied on twenty documents and compared with other methods compression such as RLE, jpeg, tiff and png. The experimental results showed that the proposed technique gives a higher compression ratio than the rest of the methods.
Selección objetiva de secuencias de resonancia magnética relevantes para el diagnóstico de cáncer de mama utilizando MKL y SWM

Breast cancer is these cond most common among all cancer types and isalso the most diagnosed in women, both in developed and in developing countries. In Colombia, the number of new cases increases substantially very year,and inmany,it only can be detected in advanced stag of development. Due to the great importance that the study of breast cancer has acquired, different medical image-based screening methods that allow to detect and study this disease have been developed, being the magnetic resonance imaging (MRI) one of the most promising tools in terms of the useful information that provide to make sensible and reliable diagnoses. However, the massive use of MRI is restricted because it is more expensive than other methods, mainly due to the large number of images grouped by sequences that must be acquired and interpreted. Atrecent years,some work shave been developed seeking to reduce the number of MRI sequences that must be implemented for the diagnosis of breast cancer. However,these work shave limitations, because the sequence selection is completely subjective, and therefore they are linked to the appreciation and criteria of the radiologists and the medical centers where they have been performed.On the other hand,the use of computer systems to support diagnostic processes has proven to be very useful in the medical ﬁeld; In addition, the machine learning area has highlighted the method of multiple kernel learning (MKL) because it allows to integrate multiple information sources in a single task,showing Good performance and easy to interpret results. In this project, a method based on the use of MKL and support vector machines (SVM) is proposed to objectively and automatically select the most relevant MRI sequences for the diagnosis of breast cancer, through the penalty of the weights associated with each one of the kernel matrices that represent the MRI sequences. Initially, perceptual and radiological features are generated from each MRI sequence,then the kernels are calculated and tuned using three different algorithms based on the locals caling technique. Finally,the information of the kernels feedsan SVM,obtainin gas ﬁnal out put the train edweights, which are used as measures of relevance ofthe information sources,and the predicted labels for the processed examples. The obtained results show that the proposed method is stable in terms of the sources that are selected as relevant, they also indicate that the information sources corresponding to the sequences of Phases 2, 3, 4 and 5 are clearly relevant for the classiﬁcation task, when differ positive lesions from negatives in breast MRI studies. When comparing the performance of the proposed method with two classical feature selection methods of the state of the art, taking into account that the feature selection is the closest analogy to the souce selection, it can be identiﬁed that the proposed method outperform the evaluated methods of the state of the art regarding the objective and effective selection of relevant information sources
Paraphrasing Technique To Develop Skill for English Writing Among Indonesian College Students of English

This research aims at examining three important things, i.e. students’ technique in paraphrasing, paraphrasing acceptability and obstacles in paraphrasing. A qualitative approach was used to carry out this study by purposively selecting 26 Indonesian college students of English as respondents. The data were collected by giving a paraphrasing task (consisted of 5 paragraphs) to the students and interviewed them to find out in-depth information on paraphrasing acceptably and obstacles. The research revealed that synonym technique was the most frequent technique sued by the respondents due to the easiness of using this technique. On the other hand, the technique of changing positive into negative (vice versa), changing structure of idea, combining two sentences, and changing clause into phrase (vice versa) were found to be the less frequent techniques used for paraphrasing. The research also found that all students are not able to produce good paraphrasing sentences due to their incompetence to satisfy the criteria of good paraphrasing such as not giving citation sources, the tendency for doing plagiarism (changing words with their synonyms and keep the sentence structures still the same as the original. Regarding the respondents’ obstacles in paraphrasing, this study found some obstacles: (1) difficult to find out the appropriate synonyms to change words on original text, (2) difficult to understand unfamiliar terms (3) unable to restructure sentences in new ones, and (4) no idea on how to paraphrase texts effectively. All the obstacles occur due to some causal factors, i.e. (1) lack of vocabulary, (2) lack of paraphrasing practice, (3) ineffective class when learning, (4) teaching technique of lecturers, and (5) limited knowledge of paraphrasing techniques.
Sulphur and lead isotope characteristics of Hakkari Zn-Pb province, SE Turkey: implications for ore genesis

Hakkari Zn-Pb province is a newly discovered metallogenic province of the Neotethyan belt. The deposits of this province occur within Middle-Upper Triassic-Jurassic carbonates. Important deposits are Meskantepe, Karakaya and Uzumcu. More than one ore zone is observed parallel to each other along the province. The thickness of each ore zone varies from a cm scale to a few m (0.1 to 6 m). The primary ore was mostly in-situ oxidized and “non-sulphide” zinc deposits was developed. However, primary sulphidic ore lenses have been observed within non-sulphide ore zones. Non-sulphide ore zones consist of smithsonite, hemimorphite, zincite/hydrozincite, goethite, hematite, lepidocrocite, cerussite and anglesite. Primary ore include pyrite, marcasite, sphalerite and galena. This study details the sulphur and lead isotope characteristics of the province. The average δ34SCDTvalue of sphalerite, pyrite and galena (total 39 samples) of Hakkari province is 1.74‰ (from-3.43‰ to 8.78‰) indicating a large and relatively homogeneous sulphur source. Sulphur isotope data indicate that the source of sulphur most probably was marine sulphates and that TSR was effective in sulphur reduction processes. The lead isotope ratios of galena (206Pb/204Pb between 18.325 and 18.756;207Pb/204Pb between 15.579 and 15.700; and208Pb/204Pb between 38.421 and 39.034) of the Hakkari Zn-Pb province are slightly heterogeneous, relatively radiogenic and fall close to upper crustal growth curves, like SEDEX deposits globally rather than MVT deposits.
Aplicación móvil Alejandro: ideario del pensamiento de Fidel Castro Ruz

The mobile application is the result of the research actions carried out at the University of Holguin, with the aim of forming a political culture in the new generations, based on the revolutionary work of the historical leader of the Cuban Revolution. The content of the application is the result of the analysis of 962 documents published from 1983 to 2016, including letters, appearances, speeches, statements, interviews, interventions, messages, notes, responses, conferences, editorials, words, conclusions, reports and reflections. From these, 2073 terms, 12027 thoughts and 804 contextualized terms were derived, accompanied by 683 images. The application is composed of a dictionary of terms arranged alphabetically, a section of favorite terms, a glossary and a photo gallery. As a part of the results obtained, the tools used and the editor developed for the processing of the application information are presented. Similarly, an index of the contents of the application by subject is presented an intended to be used in guidance situations, according to the educational space. Fidel Castro Ruz's Ideology of Thought constitutes a practical solution, from the context of the university community, to the integral formation of children, youth, adolescents and in-training professionals.
EXPLORING THE USE OF A MOBILE APPLICATION DESIGNED FOR CAPSTONE PROJECTS FOR HONG KONG TERTIARY STUDENTS

The capstone project is an important piece of writing for final year undergraduate students. It is where they showcase the skills and knowledge they have learned throughout their undergraduate program. Capstone projects and the skills they have developed equip and prepare students as they transition to a professional life or further their academic pursuit; one of these skills is the student’s ability to effectively and appropriately use English in their discipline and for communication. This is challenging in the context of Hong Kong’s tertiary education for two major reasons. Almost all universities mandate that capstone projects be written completely in English although English is not the mother tongue for the majority of students. On top of this, there is a lack of curriculum space in the final year of the undergraduate program to offer specific English language courses to help students face the daunting task of completing their long and demanding capstone project. As campuses lock down under the pandemic, the situation is further exacerbated when the supervisor and supervisee cannot meet in person to discuss the writing and progress of the capstone.To address this, a project, involving five universities, decided to address the challenges and gaps by developing an in-house mobile app that offers discipline-specific support to final year undergraduate students in the English they need to deliver their capstone project. A mobile application is considered as a most suitable learning support tool for this purpose because today’s students are reliant on their mobile phones. A mobile application can reach students anywhere, anytime, and provides flexibility in learning. The bite-size and micro-learning approach of mobile learning works well in the self-paced and independent work mode associated with capstone projects.This presentation aims to show how students have used the three major functions of the app: the learning tool as the main function provides discipline-specific English language learning tips, as well as two other functions that were added later to provide opportunities for students to self-manage their project and communicate more efficiently with their supervisors respectively. The app’s main features are designed as a “one-stop” shop to support students in the whole capstone project process, making it easier and more convenient for them to work on capstone project-related matters. We will present findings from a small exploratory case study with data collected from students in two departments, examine students’ perceptions in using the app, and explore some impact on students’ learning process, especially in remote learning situations during the pandemic crisis.
Cultural Issue of Frances Hodgson Burnett Novel The Secret Garden

Abstract: Reading activity is a fascinating activity. It would trigger and enhance the readers’ critical thinking. Reading activity could be for academic or non-academic purpose. In literature reading, the readers may use any textbook or fictions book. Literature and culture has their connectivity between them. This study aimed to determine the cultural issue of ‘The Secret Garden’ novel by Frances Hodgson Burnett. In analysing the data, the writer used qualitative method. After doing the novel analysis, the researcher could conclude the cultural issues in this novel. The research results of the cultural issues were bullying and racism. Bullying and racism appeared and happened since a long time. Both of them would give any bad impacts to the victim. Doing sarcasm, hatred, revenge, bullying, and racism are disgraceful behaviour. Abstrak: Kegiatan membaca adalah sesuatu hal yang menyenangkan. Kegiatan ini dapat memacu dan meningkatkan cara berpikir kritis pembaca. Para pembaca literatur bisa menggunakan buku pelajaran atau buku fiksi. Literatur dan budaya memiliki hubungan satu sama lain. Penelitian ini bertujuan untuk menentukan isu budaya yang terdapat pada novel ‘The Secret Garden’ yang ditulis oleh Frances Hodgson Burnett. Penulis menggunakan metode kualitatif untuk menganalisis data. Setelah melakukan analisis, penulis mengambil kesimpulan bahwa isu budaya yang terdapat dalam novel ini adalah intimidasi dan rasis. Intimidasi dan rasis telah muncul dan berlangsung sejak lama. Kedua hal ini dapat memberikan efek negatif kepada korban. Melakukan sarkasme, kebencian, balas dendam, intimidasi dan rasis adalah perbuatan tercela.
ON THE EFFECTIVENESS OF UNIVERSITY FINAL EXAMS ON DIGITAL PLATFORMS DURING EMERGENCY LIFE SITUATIONS

COVID-19 – the global pandemic virus – which suddenly and disruptively broke into the life of modern human civilization, revolutionized people's habits, lifestyle, professional challenges and all levels of education. The COVID-19 pandemic has affected educational systems worldwide, leading to the near-total closures of schools, universities and colleges [1]. Most governments around the world have temporarily closed educational institutions in an attempt to contain the spread of COVID-19 [2]. Some experts suggest that the global COVID-19 lockdown has forever changed the system of education, and these changes are for the better. "This pandemic could profoundly change education for the better. Technology turns a laptop screen into a classroom, where students and teachers see each other and can question each other in truly collaborative online learning" [3]. This unexpected new online academic system has also replaced a more traditional model of credits and examinations, especially in higher education. For example, Russian university students faced almost 100% digital testing during their final examination period in the spring semester of 2020. Therefore, taking into account the above mentioned academic facts and current pandemic circumstances, the purpose of this research is to estimate how effective the system of university students' final examination on digital educational platforms may be. In the course of the research work, an experiment was carried out, including the development and implementation of a series of examination tests on the digital platform Moodle for junior and senior students studying at Moscow State Pedagogical University (MPGU) and Peoples' Friendship University of Russia (RUDN University). At the end of the research, we interviewed students on the success or failure of the offered digital examination system. The respondents' answers were carefully analyzed. Thus, the students' marks and their feedback on online testing made it possible to identify the advantages and disadvantages of the newly created digital examination system. Finally, this study introduced recommendations on more practical examination sessions with university students, based on academic digital platforms, whether it is an emergency or a breakthrough stage in the life of modern society. References:[1] Education: From disruption to recovery, UNESCO, Accessed 29 July, 2020. Retrieved from https://en.unesco.org/covid19/educationresponse.[2] COVID-19 Educational Disruption and Response, UNESCO, Accessed 29 July, 2020. Retrieved from https://en.unesco.org/covid19/educationresponse.[3] K. Baker, Financial Times, Covid-19 is changing education for the better, 2020. Retrieved from https://www.ft.com/content/51496fde-98e7-11ea-871b-edeb99a20c6e.
Effectively Using Multispectral Remote Sensing and GIS Techniques for Precision Radioactive Mineral Exploration in Um Ara â Um Shilman Area, South Eastern Desert of Egypt

Um Ara-Um Shilman younger granites are one of the most promising uranium and thorium mineralization in the south Eastern Desert of Egypt. These granites are classified into monzogranite and alkalifeldspar granite. The using of remote sensing image processing techniques and Geographic Information Systems (GIS), considered an effective, powerful tool in the field of lithologic mapping and mineral exploration lately. Landsat 8 Operational Land Imager OLI showed a great capability in geologic exploration, especially for the remote and high terrain areas, reducing time and efforts at Um Ara – Um Shilman area. The results showed a distinctive differentiation between the different lithologies rocks unites especially fine to medium-grained alkali feldspar fertile granite and coarse-grained monzogranite. The northern location has gained more attention regarding its radioactive anomaly recorded in the medium to fine grained granitic variety that range in composition from alibied to the k-feldspar-rich granite. Radioelements measurements (equivalent uranium (eU) ppm, equivalent thorium (eTh) ppm, potassium percent (K%) and total count (Tc)) have been acquired from sixteen trenches covered the northern locality of the study area. These trenches can be classified into two groups; the first one is high in uranium and the second is high in thorium, and the uranium migrated from the eastern part to the western part of the study area. GIS methods are successful and has a great advantage to apply in a ground radioelements measurement for a local investigation area. The results of the study indicated a significant value for further future radioactive exploration in the area.
A MULTIDISCIPLINARY EDUCATIONAL PROGRAMME BASED ON THE COOPERATION BETWEEN UNIVERSITY AND INDUSTRIAL PARTNERS

M. Stoica1, G.F. Stoica1, I.C. Andrei2, N. Crișan1, D.A. Prisecaru1 1University Politehnica of Bucharest (ROMANIA) 2National Institute for Aerospace Research "Elie Carafoli" (ROMANIA)
Blockchain-Based Decentralized Cloud Storage

A prototype is developed for the multiuser model to control the access to the data set stored in a malicious cloud environment. Alike cloud storage, other platforms have the capability to share the information in a secure manner. The proposal is to enable access control over the data stored in a cloud by the absence of provider involvement. A vital tool of the access control system is a ciphertext policy attribute-based encryption scheme with dynamic attributes and enhanced encryption methodologies. By the usage of decentralized ledger, the proposed system provides an immutable log of all required security events which includes generation of keys, access policy assignments, changes/revocations, and access requests. We have implemented a set of rules to make sure the privacy of operations that demands secret or private keys, but hash codes are sent through the ledger. A proposed prototype of the model was applied using smart contracts and tested on the platform.
Guides: Subject Guide: Engineering: Our Collections

A guide to getting the most out of the Library and Collections resources for Engineering Databases for your subject