Reviewerly/exHarmony huggingface dataset:
Projeto de Trocadores de Calor Casco e Tubo usando o Algoritmo de Polinização de Flores e Modelos Caóticos

In the last decades, numerous strategies to update dynamically the heuristic algorithms parameters have been proposed.These approaches aim to increase the exploration capacity of the algorithm and, consequently, avoid convergence to local optima and to minimize the influence of input parameters that are traditionally considered constant during the evolutionary process.In this context, this work aims to use chaotic search models in order to update one of parameters of Flower Pollination Algorithm.The proposed methodology was used in design of shell-and-tube heat exchanger in which it is desired to determine geometric variables to minimize the total cost.The results obtained with the application of such methodology in two case studies allow the conclusion that the insertion of a chaotic search model increased the exploration capacity of the canonical algorithm, as well as the reduction of number of objective function evaluations.
Design Of Multiple Intelligences Based Learning Environment In Early Childhood As A Learning Model Of The Millennium Century

The study uses development research and quasi-experimental methods to test multiple intelligence instruments as supporting learning design models. The study was conducted on 29 kindergarten students in Bandung, West Java, Indonesia. With the Wilcoxon Signed Ranks Test, a score of 4,508 with a sig value is obtained 0,000
MARGINAL NOTES - A NEW APPROACH TO SECONDARY SOURCES IN DIGITAL ENVIRONMENT

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 2074-2079ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.0582Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain
From Local to Global Subspace Clustering for Image Data

The subspace clustering problem arises in many applications that involve processing high-dimensional data, i.e. images and videos. In many of these applications, high dimensional data is often well approximated by union of low-dimensional subspaces. This motivated the development of various algorithms to cluster high dimensional data based on the underlying intrinsic low-dimensional subspaces. However, the existing approaches are based on global representation of data whereas this representation can be easily affected by errors, occlusions and severe illumination conditions. Here, we propose a multi-scale approach based on extracting local patches from different scales and then merging the shared information using a weighted scheme based on Grassmann manifolds. This approach not only benefits from the discriminative information from global representation of data but also makes the clustering task more robust using the information from local representations. Numerical results show that the proposed approach significantly outperforms existing subspace clustering algorithms.
THE IMPORTANCE OF BUSINESS SIMULATION COURSES IN PORTUGUESE HIGHER EDUCATION INSTITUTIONS

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 4676-4681ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.1157Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain
PENERAPAN TEKNIK SEO (SEARCH ENGINE OPTIMISATION) DENGAN METODE ONPAGE DAN OFFPAGE PADA WEBSITE CARGORIAU.COM

This study aims to determine the application of SEO (Search Engine Optimization) techniques on the cargoriau.com website. This research focuses on the application of marketing by utilizing SEO with onpage and offpage methods in the development and improvement of freight forwarding services, cargo and expeditions in the regency and city areas in Riau Province. The website www.cargoriau.com is one of the websites supporting Zataka Express Group's freight forwarders and cargo promotions. Data collection techniques in this study are by interview, observation and documentation. The data analysis techniques used in this study include transcripts of interviews, data reduction, analysis, and interpretation of data. The results of data analysis can then be concluded. The results of SEO (Search Engine Optimization) conducted by researchers on the website www.cargoriau.com yielded results in the increasing number of service users, Cargo and Expeditions to various districts and cities in Riau Province. This is because more traffic from website visitors www.cargoriau.com and the website is indexed on the first page of Google
Motivation and MOBILE Devices’ Usage at School: Pupils’ Opinions

This study investigated junior high school pupils’ opinions on motivation and mobile devices’ usage at school. The sample consisted of 179 pupils aged 13-15 years old, in a state experimental school in Greece. The majority of pupils believe that mobile devices (e.g., mobile phones, tablets) are an incentive for learning, mainly because these help in searching for information, they are interesting, they help pupils in understanding the concepts and in completing the school assignments. The school subjects for which many pupils would be more interested, in case mobile devices were used in the classroom, were physics, mathematics and history. The examples of learning activities (or functions) with mobile devices in the classroom, as stated by pupils, were mainly those pupils are familiar with (searching the internet, using the calculator, the stopwatch and the dictionary). Implications for school practices are discussed.
3D 프린터를 활용한 식물의 구조 프랙털 제작 STEAM 수업이 과학 탐구 능력, 창의적 문제해결력 및 과학적 흥미도에 미치는 효과

This study aims to develop a STEAM program to create plant fractals using 3D printer under the theme of plant fractals with repeated figures and to explore its effects. To do this, we developed a STEAM program for the 10th classes and applied it to the 6th grade elementary school students. We found the improved effects in tests of scientific process skills, creative problem-solving ability, and scientific interest. That is, the results showed significant differences in the areas of inference and expectation, which are the areas of scientific process skills, and also showed significant effects in all areas of creative problemsolving ability and scientific interests. In this program, although the nonsubject contents were mainly treated, but background knowledge in order to understand the contents of the study theme by convergent activities of subjects of science, mathematics and arts led to significant effects. Therefore, topic-focused new STEAM programs using 3D printer like this study should be continuously developed and distributed.
Integrating New Knowledge into a Neural Network without Catastrophic Interference: Computational and Theoretical Investigations in a Hierarchically Structured Environment

Presented on April 15, 2019 at 11:15 a.m. in the Krone Engineered Biosystems Building, Room 1005.
PEMANFAATAN ITERATED FUNCTION SYSTEM (IFS) UNTUK MEMBANGKITKAN MOTIF ANYAMAN UKURAN n x n

Woven is one of art thats very close to life. Woven has a pattern consisting of two-dimensional (2D) and has a basic pattern. Along with the development times, technology is also growing including computer technology. Computer can be used for mathematical calculation process, one of them is fractal. Fractal Sierpinski carpet is formed from a square that use Iterated Function System (IFS) method. This method is exact self-similar resulting in the same fractal with the original constituent object. The writer want to get woven pattern using computer technology, that is GUI application in Matlab that utilizes the IFS method on fractal. Woven patterns formed from woven that have a grid size of n x n and are given a few iterations. So, that it can make it easier for craftsmen to make woven pattern that are interesting and varied.
PENERAPAN APLIKASI KAMUS EKONOMI SYARI’AH BERBASIS ANDROID STUDI KASUS DI FAKULTAS EKONOMI DAN BISNIS ISLAM UIN AR-RANIRY BANDA ACEH

Dictionary is what is needed to find a term with the right translation. Current technological developments make things very easy and inexpensive. The use of smartphone technology is now very suitable to replace the printed dictionary into a digital dictionary. This study aims to provide convenience for users who want to find the meaning of the term syari'ah especially for students of the Islamic Economics Study Program of the Faculty of Economics and Islamic Business, Ar-Raniry State Islamic University, Banda Aceh. This research uses Research and Development (R&amp;D) method and is supported by the waterfall method for system development. Based on the question number 10 in this study, the conclusion of the respondents is only 2% which states neutral from all respondents, it can be said that almost all respondents said the application of Islamic Economics Dictionary makes it easier in the search for shari'a economic terms rather than dictionary shaped print.
Has your wifi left you wide open to cybercrime?

Picture your own home. You've spent significant budget ensuring your property is physically secure, only to discover that criminals have been silently robbing you, without so much as setting foot on your front porch. You believed you'd created a fortress but didn't notice the hole in the wall that left you vulnerable to criminals. It's every single homeowner's worst nightmare. However, it's also a very real metaphor for many businesses in the UK who, despite becoming more vulnerable, have left the door to cybercrime unknowingly ajar. IT security is now a corporate priority and businesses are investing significant funds into sophisticated firewalls that enable their systems to become effectively inaccessible. But many of those businesses fail to notice the growing hole in their IT defences that leaves both the business and its workers exposed – their wifi network. Defective wifi practice, along with an insufficient understanding of the obvious signs of cyberthreats, can unwittingly provide cyber criminals with surreptitious access to sensitive information, explains Greig Schofield of Netmetix.
Process analysis of data flow priority management in software systems

An analysis of service disciplines with fixed and dynamic priorities is carried out.The object of study is an intermediate node of a multi-service network, where five data streams with different intensities and router service time arrive.Queuing system with a heterogeneous flow of applications is used as a model of such intermediate node.Studies of the heterogeneous queuing system with priorities are conducted by a statistical method in GPSS World simulation environment under the assumption of different laws for the distribution of time intervals between the queues arrivals and their processing time.Time dependences of the queue time on data stream number for different combinations of distribution laws with fixed and dynamic priorities are derived.
Blockchain and the Law: The Rule of Code. By Primavera De Filippi and Aaron Wright. [Cambridge, MA: Harvard University Press, 2018. 300 pp. Hardback £25.95. ISBN 978-06-74976-42-9.]

Blockchain and the Law: The Rule of Code. By Primavera De Filippi and Aaron Wright. [Cambridge, MA: Harvard University Press, 2018. 300 pp. Hardback £25.95. ISBN 978-06-74976-42-9.] - Volume 78 Issue 1
A Study on the Material Characteristics of Stone Tools Excavated from the Remain Point of Paleolithic Age in Osong Site, Cheongju

This study analyzes the material characteristics of stone tools of the Paleolithic period excavated from the Osong site, located at the project site for the creation of the Osong 2nd Life Science Complex, and estimates the provenance of the stone materials. Because the stones had been buried for a long time, their surfaces had become heavily weathered yellow or yellowish-brown, and the magnetic susceptibility values varied from 0 to 15(Ã10-3 SI). The excavated stone tools were rocks with various magnetic susceptibility values that could not be specified. Five stone tools subjected to destructive analysis were divided into two groups, one with a value of 1-3(Ã10-3 SI) and the other with a value of 5â9(Ã10-3 SI), both based on visible characteristics. The results of the thin-section analysis showed that most of the stone tools were basaltic rocks comprising plagioclase, quartz, and pyroxene, and some had iron content as high as 20 wt.%. These findings and the present geological map suggest that the stone tools were not made from the surrounding rocks because there are no areas containing basaltic rocks surrounding Bongsan-ri in Osong-eup. Andesite and tuff are distributed along with basaltic rocks in the Doan-myeon area in Jeongpyeong-gun, Chungcheongbuk-do Province, but the distance from the excavation site is too far. To determine whether this region is actually related to the provenance of the raw rock, it is necessary to conduct additional field surveys and comprehensive and precise analyses. Key words: Stone tools, Osong site, Paleolithic age, Basaltic rock, Provenance
A Methodical Review of Diagnosis and Classification of Leukemia using Blood Microscopic Images

Leukemia creates abnormal and immature cells in the bone marrow which cannot fight infection effectively. To reduce the death and severe suffering, effective early diagnosis and screening are needed. Leukemia is diagnosed with complete blood count and bone marrow examination. The manual diagnosing of leukemia needs special training and it is not accurate when done by non-experts. Hence an automated system is necessary for diagnosing and classifying the subtypes of leukemiaearlier for proper treatment using blood microscopic images. This automated system will increase the accuracy of all subtypes and it is useful in the rural areas where hematologist's experts are less. Many researchers have proposed different methods for diagnosing the leukemia. This paper gives the review of various methods with improved accuracy and their results are compared.
Query Translation Between openEHR and i2b2.

Secondary use of electronic health records using data warehouses (DW) has become an attractive approach to support clinical research. In order to increase the volume of underlying patient data DWs at different institutions can be connected to research networks. Two obstacles to connect a DW to such a network are the syntactical differences between the involved DW technologies and differences in the data models of the connected DWs. The current work presents an approach to tackle both problems by translating queries from the DW system openEHR into queries from the DW system i2b2 and vice versa. For the subset of queries expressible in the query languages of both systems, the presented approach is well feasible.
Chinese-Catalan

This article innovatively addresses machine translation from Chinese to Catalan using neural pivot strategies trained without any direct parallel data. The Catalan language is very similar to Spanish from a linguistic point of view, which motivates the use of Spanish as pivot language. Regarding neural architecture, we are using the latest state-of-the-art, which is the Transformer model, only based on attention mechanisms. Additionally, this work provides new resources to the community, which consists of a human-developed gold standard of 4,000 sentences between Catalan and Chinese and all the others United Nations official languages (Arabic, English, French, Russian, and Spanish). Results show that the standard pseudo-corpus or synthetic pivot approach performs better than cascade.
The Effect of Primary School Teachers’ Experiences on the Signification of Their Pedagogical Work as a Result of the Consequences of the Economic Crisis in Their Everyday Reality

This developmental study was conducted to design, fabricate, and evaluate the new features of the Multi-Angle Welding Jig (MAWJ) so that can easily set, securely and automatically clamp and releases workpieces allowing high degree freedom of movement, fast and accurate welding procedure.Specifically, this study focused on the clamping performance of the device in holding different sizes and shapes of the pipes and bars driven by 15 psi pneumatic pressure connected to a compressor.Then, the study also focused on the adjustable clamps and jaws that adjusted could be adjusted in multiple angles of 30°, 45°, 60°, 90°, and 180°.Moreover, the data recorded concerning time showed that the device was quick in clamping and releasing and when the user applied to weld or tacking it can finish the whole process in seconds.
Semi-Supervised Target-Dependent Sentiment Classification for Micro-Blogs

The wealth of opinions available in the social media motivated researchers to develop automatic opinion detection tools. Many such tools are currently available online for opinion mining in short text, known as micro-blogs, but their efficacies are still limited. Current tools focus on detecting sentiment polarity expressed in a micro-blog regardless of the topic (target) discussed. Little improved approaches have been proposed to detect sentiment towards a specific target, referred to as target-dependent sentiment classification. Our literature review has shown that all these target-dependent approaches use supervised learning techniques. Such techniques need a huge amount of labeled data for increasing classification accuracy. However, preparing labeled data from social media needs a lot of efforts. In this work, we address this issue by employing semisupervised learning techniques that have not been used before with target-dependent sentiment classification. To the best of our knowledge, our work is the first research that employs semisupervised learning techniques in this direction. Semi-supervised learning techniques have been known in the literature to improve classification accuracy in comparison with supervised learning techniques; however, they use same number of labeled samples plus many unlabelled ones. In this work, we propose a new semi-supervised learning technique that uses less number of labeled microblogs than that used with supervised learning techniques. Experiment results have shown that the proposed technique provides competitive accuracy.
Detection of Acute Lymphocytic Leukemia using Statistical Features

Accurate diagnosis of Leukemia is an important issue in the medical field in order to provide effective treatment to the patient.Leukemia is caused due to the abnormalities in the lymphatic (immune) system in our body.The chance of getting affected by leukemia is more common in children than adults. Cell types that involved in leukemia are white blood cells which are potent infection fighters. When leukemia causes abnormal production of WBCs which do not function properly is known as Acute Lymphocytic Leukemia (ALL) whereas, in other type of leukemia called Chronic Lymphocytic Leukemia (CLL), immature WBCs are capable of performing their functions normally. When compared to Chronic Leukemias, Acute Leukemias are more hazardous. In this paper Acute Lymphocytic Leukemia (ALL) is focused. In this work, from the given dataset that consisting of both benign (healthy) & malignant cells, Leukemic cells are detected & classified based on blast cells' morphology.There are various image processing techniques to detect leukemia and its types.Linear, SVM and classifiers are analyzed.SVM-R produced accuracy, sensitivity and specificity of 86.67%, 85%, and 90% respectively for noisy data.
A survey on sentimental cluster based opinion summarization in question answering community

Sentiment analysis is the art of presenting a short, exact, and coherent summary of an extensive text document.The sentiment analysis has emerged due to the increase in on-line publication, large internet users and the rapid growth of the electronic government (e-government).Also, the web has provided large packages of text in various topics.Basically, the text summarization is also classified into two type's namely extractive and abstractive text summarizations [1].Extractive text summarization is selecting the words from an original text document.Abstractive text summarization (ATS) expresses to rephrase and generate the similar word, but that's not found in the original document [2].It is improved for machine translation to summarization and also using the convolutional neural networks (CNN) and long short-term memory (LSTM) to develop the performance of text summarization [3][4][5][6].The querybased text summarization is of great importance to analyze the various methods that are useful and provide a short summary.Two key points in querybased text summary: i.e. 1) How to choose essential content from a document that requires the question.2) How to specify of the selected contents [7][8][9][10][11][12][13].
AN ANALYSIS OF TEACHER STRATEGIES IN TEACHING READING AT THE FIRST YEARS STUDENTS OF SMK 2 GERUNG IN ACADEMIC YEAR 2016/2017

This study is aimed to find out teachers strategies in teaching reading at SMK 2 Gerung West Lombok. It was conducted to get detailed information about the strategies used by teachers in teaching reading comprehension. This study employed a qualitative research design which is included as a case study using two data collection techniques; observation and interview. The object of this study was the teacher for the first year. Interviews were used to support the data gathered from classroom observation. All of the data were analyzed by using three major phases of analyses: data reduction, data display, and conclusion drawing and verification. This study revealed that the teachers used three strategies in teaching reading at SMK 2 Gerung West Lombok, the first is Memorizing strategy where the students must memorize five vocabularies every meeting. Secondly is Question Answer Relationship. This strategy used by the teacher to know the students understand or not. The third strategy is Game this strategy used by the teacher to motivate students in teaching reading process.