Reviewerly/exHarmony huggingface dataset:
An Enhanced Concept based Approach for User Centered Health Information Retrieval to Address Presentation Issues

The diversity of health information seekers signifies the enormous variety of information needs by numerous users.The existing health information retrieval systems failed to address the information needs of both medical expert and laymen patients.This study focused on designing an enhanced information retrieval approach using the concept based approach that would address the information needs of both medical experts and laymen patients.We evaluated and compared the performance of the proposed enhanced concept based approach with the existing approaches namely: concept based approach (CBA), query likelihood model (QLM) and latent semantic indexing (LSI) approach using Diagnosia 7, Medical Subject Heading (MeSH), Khresmoi Project 6 and Genetic Home Reference datasets.The experimental results obtained shows that the proposed enhanced concept based approach manage to score similarity scores of 1.0 (100%) in respect to maxSim values for all the runs in all the four datasets and idf weighting values of between 3.82 -3.86 for all the runs in all the four datasets.While the existing approaches (CBA, QLM, LSI) scored the maxSim scores of 0.5 (50%) for all their runs in all the four dataset and idf weighting values of between 1.40 -1.47 for all the four dataset, as a result of their inability to generate and display medical search results in both medical experts and layman's forms.These results shows that the proposed enhanced concept based approach is the best approach suited to be used in addressing presentation issues.
Cervical Cell Classification using Learning Vector Quantization (LVQ) Based on Shape and Statistical Features

This research was conducted to design a system that is able to classify cervical cells into two classes, namely normal cells or abnormal cells. We use digital images of single cervical as research materials and Learning Vector Quantization (LVQ) as classification method. Prior to classification, the nucleus areas of single cervical cell images were segmented and features were extracted. The features used in this study are 7 kinds of which consist of 2 types of feature, namely shape features and statistical features. The shape features used are area, perimeter, shape factor, and roundness of the nucleus, while the statistical features of the grayscale image histogram used are mean, standard deviation, and entropy. LVQ optimal parameter values based on the highest accuracy of training data, are learning rate 0.1 and learning rate reduction 0.5. The highest accuracy of system obtained from 45 testing data is 93.33%.
The Benefits of Integrating the Learn English Grammar Application into the Saudi EFL Pre-Intermediate Preparatory Year Classroom

This study examines the benefits of using the mobile application Learn English Grammar for English as a Foreign Language (EFL) with students attending King Abdul Aziz University in Saudi Arabia. The participants consisted of fifty-two female pre-intermediate level students in the foundation year program, with twenty-seven assigned to the experimental group and twenty-five forming the control. Both groups undertook a pre-test to ensure an equal level of skill and a post-test to establish any statistically significant differences in their grammatical attainment. The findings revealed a significant difference at p=0.006 in favor of the experimental group. The students completed a questionnaire, which revealed a positive attitude towards the application, while the teacher’s reflective notes indicated that it created an exciting and motivating learning environment. This study contributes to the area of mobile learning in EFL classrooms by highlighting the importance of mobile applications for both improving the classroom environment and facilitating students’ language acquisition.
Context aware reliable sensor selection in IoT

Internet of things (IoT) is a computing concept where physical objects with embedded sensors connect to the internet and can identify themselves to other devices. Today, the number of devices connected to the internet is increasing rapidly and they want to communicate each other for different purposes. The future internet will comprise of billions of intelligent communicating objects having capabilities for sensing, actuating and data processing. Each object in this cyber physical systems (CPS) will have one or more embedded sensors that will capture huge amount of data. Managing these data in cloud and obtaining the relevant data from appropriate sensors are important concerns. For information retrieval context awareness is important. Usually users need information from these sensors depending upon several factors such as location, accuracy level, etc. The proposed method senses reliable data from a sensor environment that satisfies user contexts. It also contains different functionalities such as user addition, location sensing, context specification, user context counting and selection of current best results.
A Multi-Layer Arabic Text Steganographic Method Based on Letter Shaping

Text documents are widely used, however, the text steganography is more difficult than other media because of a little redundant information.This paper presents a text steganography methodology appropriate for Arabic Unicode texts that do not use a normal sequential inserting process to overcome the security issues of the current approaches that are sensitive to steg-analysis.The Arabic Unicode text is kept within main unshaped letters, and the proposed method is used text file as cover text to hide a bit in each letter by reshaping the letters according to its position (beginning, middle, end of the word, or standalone), this hiding process is accomplished through multi-embedding layer where each layer contains all words with the same Tag detected using the POS tagger, and the embedding layers are selected randomly using the stego key to improve the security issues.The experimental result shows that the purposed method satisfied the hiding capacity requirements, improve security, and imperceptibility is better than currently developed approaches.
Bioremediation of Petroleum Sludge Impacted Soils Using Agro-Waste from Moringa Seed

The feasibility of using agricultural waste from drumstick (Moringa Oleifera Lam.) seed as organic fertilizer to remediate petroleum sludge impacted soils within an 8.5 km radius from Warri Refinery and Petrochemical Company (WRPC) in Delta State, Nigeria was studied using standard methods.The experimental set-up was monitored for 90 days at 30 days interval.The total petroleum hydrocarbon (TPH) and polycyclic aromatic hydrocarbon (PAH) contents across the 5 sampling sites(A to E) for day 1 were (293846.00,4255.87),(123874.00,2942.04),(97291.00,1818.38),(87561.23,928.22), (48063.61,189.93) (mg/kg) as against the control (651.18,68.06) (mg/kg) respectively.After treatment with the agro-waste from Moringa seed for 90 days, the TPH and PAH contents from sites A to E degraded to (652.58, 5.66), (520.67,3.09), (254.32,4.81), (68.80, 0.48) and (61.29, 1.66) (mg/kg) while the control site exhibited (50.62, 0.46) (mg/kg) respectively as detected via gas chromatography-mass spectrometry (GC-MS) and gas chromatography-flame ionization detector (GC-FID).From the Soil Quality Standards (SQSs) conducted after day 30, only the control site was free from the traces of contamination recorded at day 1.SQSs after 60 days indicated that sites D and E were no more contaminated.SQSs conducted after 90 days revealed that all the sites were free from petroleum hydrocarbon contamination.This result indicated that Moringa Oleifera seed cake (MOSC) is a suitable biostimulant for remediation of petroleum sludge impacted soils.
Special Issue on Selected Papers from e-Health Pervasive Wireless Applications and Services 2017

Providing adapted e-health services, applications, and platforms responds to a growing need for medical institutions like hospitals or even homes [...]
Designing a Small Language Laboratory for the 1980's

When Rockford College needed a new language laboratory, it was necessary firstto decide how the lab was to be used and then how it was to operate. These decisionsdetermined the choice of equipment.
PENGEMBANGAN BAHAN AJAR GAMIFIKASI MATEMATIKA SISWA MTs

This research aims to gain quality learning materials gamifikasi of mathematics seen in terms of feasibility, attractiveness, as well as to obtain responses to learners and educators in learning materials that have been developed. The subject developed was set. One of the basic necessities in the process of teaching and learning are the presence of materials of interest. The research method used i.e. research and development (Research and Development) consisting of: (1) model development, (2) development of procedures, and (3) product trials that are components in research development (developmental Research). Based on the analysis of data obtained from some experts that is media experts, linguists, and the material can be stated that the learning materials gamifikasi of mathematics worthy of use, and the results of the analysis of data obtained from educators and learners is expressed that the materials developed are very interesting. So that shows that learning materials gamifikasi mathematics developed can be used as a learning resource for learners and educators Mts/junior high school class VII. Keywords: Gamifikasi Learning Materials for Mathematics
Proses Adopsi Inovasi Pupuk Cair Organik Mikro Organisme Lokal (Mol) di Kelurahan Gebang Kecamatan Patrang Kabupaten Jember

The micro-organism local liquid organic fertilizer (MOL) is a fertilizer made from basic ingredients of animal manure (animal urine), the squeezing rotten fruit juice, young coconut water, and palm sugar.This adoption of the innovation of the micro-organism local liquid organic fertilizer (MOL) is an effort to actualize the agricultural development by increasing production on farming in Gebang, Patrang, Jember.This study aimed to describe the stages of the adoption of the micro-organism local liquid organic fertilizer (MOL), which included the stages of knowledge, attitudes, decisions, implementation, and confirmation.The purposive method was used to determine the research area.This study was conducted in Gebang, Patrang, Jember.The research method used was descriptive qualitative with a case study approach.Observation, interview, and document collection were used as the data collection method.The data was analyzed by using the method of Miles and Huberman's model of qualitative data analysis, namely with four stages including data collection, data condensation, data display, and conclusion drawing.The results of the study showed that farmers' knowledge was influenced by individual variables, interactions, and socio economic circumstance, the farmers apply the innovation of micro-organism local liquid organic fertilizer (MOL), the farmers accepted and applied the innovation continuously.
GreenWarps: A Two-Stage Warping Model for Stitching Images Using Diffeomorphic Meshes and Green Coordinates

Image Stitching is a hard task to solve in the presence of large parallax in the images. Specifically, for a sequence of frames from unconstrained videos which are considerably shaky, recent works fail to align such a sequence of images accurately. The proposed method "GreenWarps" aims to accurately align frames/images with large parallax. The method consists of two novel stages, namely, Prewarping and Diffeomorphic Mesh warping. The first stage warps unaligned image to the reference image using Green Coordinates. The second stage of the model refines the alignment by using a demon-based diffeomorphic warping method for mesh deformation termed "DiffeoMeshes". The warping is performed using Green Coordinates in both the stages without the assumption of any motion model. The combination of the two stages provide accurate alignment of the images. Experiments were performed on two standard image stitching datasets and one dataset consisting of images created from unconstrained videos. The results show superior performance of our method compared to the state-of-the-art methods.
Low-cost Miniaturization of Gel Document System Using Blue LED

In this paper, we propose an inexpensive and compact gel document system in an Internet-of-Things (IoT) form employing recent open platforms.The proposed system adopts a smartphone camera developed for an open platform and uses blue LEDs as the lighting device with a recently commercialized light diffuser.The camera is controlled with the open IoT platform to implement the system in the IoT form.Employing open platforms greatly reduces the cost and size of the gel document system.The light diffusers are experimentally compared and the diffuser that made the proposed system more compact is selected.The proposed system has good characteristics of the IoT system such as low price, small installation space, and Internet controllability.
MENINGKATKAN HASIL BELAJAR MATEMATIKA SISWA DENGAN MENGGUNAKAN MODEL PEMBELAJARAN KOOPERATIF TIPE THINK-PAIR-SHARE (TPS) PADA SISWA KELAS VB SD MUHAMMADIYAH I SORONG

Abstract This research aims to describe the Cooperative Learning Model Type Think-Pair-Share (TPS) that can improve students' mathematics learning outcomes. The research was conducted in sorong. The subject of this research was fifth grade class B at SD Muhammadiyah I Sorong in academic year 2010/2011. The students consist of 14 males and 24 females. The research was Classroom Action Research (PTK). The procedure and Implementation at the study site was divided into two cycles. In the first cycle performed four times of implementation by using Cooperative Learning Model Type Think-Pair-Share (TPS). The second cycle took four times with the same model. The observations took with the observation sheet has been prepared, and then reflected by writer and teacher to evaluate the research that has been run on each cycle and to improve the implementation of the next cycle. The technique of data collection was done by using observation and tests. The data were performed with qualitative and quantitative analysis. The results of this study indicate that students' mathematics learning outcomes at SD Muhammadiyah I fifth grade class B increases. At the beginning of test the average was 5,40 and at the end of the first cycle mean score was 5.84. Being at the end of second cycle the average was of 8,09. The action did to stimulate the students' attention by giving preliminary description of matter at the beginning of the meeting, the student group discussions and presentations, providing competition, growing students’ curiosity by implementing the Cooperative Learning Model Type Think-Pair-Share (TPS). Giving the relevance of study based on students' experience and providing them the example that is relevant to students. To increase the students self confidence was done by giving them the opportunity to answer questions and write them down in front, giving verbal praise who are successful, providing the opportunity to the group to present the result of discussion, and provide feedback. To increase student satisfaction with verbal praise who are successful, notify the student test results obtained, and giving appropriate rewards and not excessive.
PENGARUH MODEL PEMBELAJARAN DISCOVERY LEARNING TERHADAP KETERAMPILAN MENULIS TEKS EKSPLANASI SISWA KELAS VII MTsN DURIAN TARUNG PADANG

This study aims to explain the differences in the results of learning to write explanatory text, namely: (1) between students taught using learning discovery learning model with students taught using conventional learning model, (2) interaction between learning model of explanatory writing skill. This type of research is quasi experiment and the design used is 2x2 factorial. Sampling is done by purposive sampling. Analysis and discussion of data is done descriptively. The result of data analysis can be concluded. First, writing explanatory texts that are taught using discovery learning learning model is better than students taught by conventional learning model. Second, there is no interaction between the learning model in influencing the ability to write explanatory text of students. Thus, it can be concluded that the learning model discovery learning can influence the skills of writing text eksplanasi MTsN students Durian Tarung Padang.
THE EFFECT OF USING HOT POTATOES APPLICATION IN TEACHING DESCRIPTIVE TEXT

Hot Potatoes application is one of educational software that contains exercises. The teacher can make the exercise by his own. It consists of JCloze, JQuiz, JCross, JMatch, JMix, and The Masher. Each of them has their own features. The researcher had two statements of the problem. First, he focused on how to create the teaching material using hot potatoes application. Second, he focused on how to apply the hot potatoes application in teaching descriptive text. Next, the subject of this research was the seventh grade students in one of private schools in Surabaya. The research design was descriptive qualitative. The research was conducted in three meetings. Every meeting, the students got different descriptive text
An Improved Model for Spam User Identification

Aiming at the problem of spam user identification in microblog, this paper proposes an improved model based on representation learning and C4.5 decision tree. The spam user identification rule has been decided at first. Then, the ten-fold cross-validation and training set are combined to train the model. The experimental results show that the improved model proposed in this paper is superior to the traditional model not only in accuracy but also universality. Results of this paper may provide a guidance to the improvement of framework of a certain social network platform.
Visual-Assisted UAV Auto-Landing System

Autolanding system in the unmanned aircraft system (UAS) is an important function to assist operators with more precise flight manipulation. Accompanying with GPS waypoint navigation, an ILS-like (Instrument Landing System) approach to landing is proposed based on visual-aid runway recognition and autopilot flight control. Simple mature and reliable detection algorithm is formulated to implement into Paparazzi autopilot system. In addition to the conventional RGB detection, the Hue-Saturation-Value (HSV) color space is introduced to give more precise result. The Line Segment Detector (LSD) is added to search for runway edge during approach to touch down at Waypoint 0. An approach procedure close to runway is established for UAV homing guidance and merged to a holding point before heading to runway. Similar to ILS glide slope, markers are created for UAV with a specific glide slope process to touchdown.
High-Order Neural Networks are Equivalent to Ordinary Neural Networks

Equivalence of computational systems can assist in obtaining abstract systems, and thus enable better understanding of issues related their design and performance. For more than four decades, artificial neural networks have been used in many scientific applications to solve classification problems as well as other problems. Since the time of their introduction, multilayer feedforward neural network referred as Ordinary Neural Network (ONN), that contains only summation activation (Sigma) neurons, and multilayer feedforward High-order Neural Network (HONN), that contains Sigma neurons, and product activation (Pi) neurons, have been treated in the literature as different entities. In this work, we studied whether HONNs are mathematically equivalent to ONNs. We have proved that every HONN could be converted to some equivalent ONN. In most cases, one just needs to modify the neuronal transfer function of the Pi neuron to convert it to a Sigma neuron. The theorems that we have derived clearly show that the original HONN and its corresponding equivalent ONN would give exactly the same output, which means; they can both be used to perform exactly the same functionality. We also derived equivalence theorems for several other non-standard neural networks, for example, recurrent HONNs and HONNs with translated multiplicative neurons. This work rejects the hypothesis that HONNs and ONNs are different entities, a conclusion that might initiate a new research frontier in artificial neural network research.
Using Dictogloss Technique to Enhance Student's Skill in Writing Narrative Text

This research aimed to identify the process of improving students' skill in writing a paragraph orientation of narrative text for the Year 6 students of Sekolah Kebangsaan Nanga Jagau through Dictogloss technique.The researcher carried out an Action Research in two cycles.Participant observations, field notes and teacher's reflections were the instruments to gather the data.Statistical description is used to analyse the data obtained from pretest and post-test.Purposive sampling technique is applied and 12 students from class X C became the sample of this research.The results of this research showed that there was an improvement of the students' ability in writing a paragraph orientation of narrative text.50.67 was the mean score for writing test 1.As a result of applied Dictogloss technique, cycle 1 gained 59.33 as the mean score and improved 8.66%.Next, the result of the cycle 2 showed that their mean score was 69.50 and attained improvement of 18.83%.Diverse educational contexts through the process of teaching and learning looked presentable than it was before.Furthermore, the implementation of the technique received positive feedbacks from the English teacher and students.To conclude, Dictogloss technique can enhance students' ability in writing a paragraph orientation of narrative text.
Investigating Technologies in Decision based Internet of Things, Internet of Everythings and Cloud Computing for Smart City

The idea of a Smart City features the need to upgrade quality, interconnection and execution of different urban administrations with the utilization of data and correspondence advances (ICT).Smart City advances cloudbased and Internet of Things (IoT) based administrations in which certifiable user interface utilize PDAs, sensors and RFIDs.Distributed computing and IoT are by and by two most essential ICT models that are forming the up and coming age of registering.Cloud computing speaks to the new technique for conveying equipment and programming assets to the clients, Internet of Things (IoT) is at present a standout amongst the most well-known ICT ideal models.In the meantime, the IoT idea imagines another age of gadgets (sensors, both virtual and physical) that are associated with the Internet and give diverse administrations to esteem included applications.Focus of this study attention on the integration of Cloud, IoT and IoE technologies for smart city services as well as a review has been made so that we can develop a better smart city that will utilize IoT, IoE in order to provide a better platform for smart city.This paper tends to the joined area of cloud computing, IoT and IoE for any smart city application organization.