Reviewerly/exHarmony huggingface dataset:
Design &amp; Analysis of Cost Estimation for New Mobile-COCOMO Tool for Mobile Application

Software cost estimation is a resource forecasting method, which is required by the software development process. However, estimating the workload, schedule and cost of a software project is a complex task because it involves predicting the future using historical project data and extrapolating to see future values. For cost estimates for software projects, several methods are used. Among the various software cost estimation methods available, the most commonly used technology is the COCOMO method. Similarly, to calculate software costs, there are several cost estimating tools available for software developers to use. But these released cost estimation tools can only provide parameters (i.e. cost, development time, average personnel) for large software with multiple lines of code. However, if a software developer wants to estimate the cost of a small project that is usually a mobile application, the available tools will not give the right results. Therefore, to calculate the cost of the mobile application, the available cost estimation method COCOMO II is improved to a new model called New Mobile COCOMO Tool. The New Mobile COCOMO tool developed specifically for mobile applications is a boon for software developers working in small software applications because it only includes important multipliers that play a vital role in estimating the cost of developing mobile applications. Therefore, the objective of this paper is to propose a cost estimation model with a special case of COCOMO II, especially for mobile applications, which calculates the person-month, the programmed time and the average personnel involved in the development of any mobile app.
PENGARUH GENDER TERHADAP GAYA BELAJAR SISWA DI SDN 35 GEDONG TATAAN KABUPATEN PESAWARAN TAHUN PELAJARAN 2017/2018

This research aims to know the influence of gender towards the students learning styles at SDN 35 Gedong Tataan Academic Year 2017/2018. This research also to know about the tendency of learning styles and a combination of learning styles. The method used in this research is quantitative descriptive. The selected samples were class III and V consist of 33 students, with purposive sampling technique. The data were collected by questionnaire and documentation. Data collection technique are using observation, interviews, and questionnaire of learning styles. Then, data were analyzed using chi-square test statistic. The results showed that there is influence of gender towards the students learning styles. Based on the results of chi-square test using SPSS 23 for windows program shows the effect of gender on students learning style with Chi-Square value = 6,912&gt;5,991 and significance value that is 0,032&lt;0,05
Generalized linear model (GLM) analysis: Multivariables of microcalcification specimens obtained via X-ray guided by stereotactic wire localization biopsy

OBJECTIVE:To retrospectively explore correlation of the resected specimen volume of breast microcalcification lesions and endogenous and exogenous factors of stereotactic needle localization biopsy (SNLB). MATERIALS AND METHODS:Totally 214 patients underwent SNLB for non-palpable breast lesion with microcalcification lesions. Of 211 patients, 198 patients underwent single needle localization and 13 patients underwent multi-needle localization (26 lesions). Lesion sizes, distribution characteristics, lesion localization accuracy and resected specimen volumes were recorded and analyzed using a generalized linear model (GLM). RESULTS:The average lesion diameter is 2.63±1.73 cm. The localization accuracy of 187 lesions were moderate, 26 were too deep and 11 were too superficial. The mean resected specimen volume (V) was 17.51±5.14 cm3. One-way ANOVA analysis showed that 3 factors, including lesion sizes, distribution characteristics and the localization accuracy were associated with resected specimen volume (F = 67.56–112.78, P < 0.001). GLM revealed that lesion sizes, single clustered distribution and accurate localization were significant factors for resected specimen volume (F = –4.82–11.36, P < 0.05). The ratio (%) of the resected specimen volume to the involved breast volume (V0) was defined as the degree of breast defect. The mean breast defect of 125 benign patients (V/V0) was 27.5% ranging from 10.1% to 42.3%. CONCLUSION:Average lesion diameter and localization accuracy are highly significant variables for the resected specimen volume. Localization accuracy as a subjective controllable variable is one of the important factors that determine the volume of lesion resection. Single clustered distribution was more susceptible localization accuracy than other characteristic distributions. Improving localization accuracy can reduce resected specimen volume, which can reduce breast defect to a certain extent.
Tripartite Entanglement for Qubits and Qudit in Double Photoionization of Xenon Atom

Quantum entanglement holds the key to an information processing revolution. In this article, we study the entanglement properties of tripartite states of two electronic qubits and ionic qudit,without observing spin orbit interaction (SOI), produced by single-step double photoionization from Xeon atom following the absorption of a single photon. The dimension of the Hilbert space of the qudit depends upon the electronic state of the residual photoion Xe2+. In absence of SOI, Russel-Salunders coupling (L-S coupling) is applicable. As the estimations of entanglement, we consider Peres-Horodecki condition and negativity. In case of L-S coupling, all the properties of a qubit-qudit system can be predicted merely with the knowledge of the spins of the target atom, the residual photoion, emitted electrons and state of polarization of the incident photons.
OPTIMIZATION OF REVERSE-AODV ON EMERGENCY BROADCAST SIMULATION.

In addition to the use of wire as a delivery media, currently there is an alternative delivery media in the form of wireless.This alternative delivery media is selected due to its easy installation and its costefficient infrastructure.MANET is a part of wireless network.It is used for many purposes including the needs for military, disaster recovery, and emergency response.Therefore, an appropriate and reliable routing protocol is required.Selection of a proper routing protocol in emergency broadcast simulation is needed, so that data transmission delivered to each node is well received.Moreover, AODV routing protocol is very suitable for the simulation.It is different from AODV; Reverse-AODV is the development of modified AODV.The use of RAODV routing protocol has been found to be unsatisfactory in emergency broadcast simulation.The number of packet loss is very high and the number of packet received by sample nodes used for research is very low.Optimization is required on this routing protocol, so that the performance of RAODV can be maximized in emergency broadcast simulation.
The Moderating Effect of Transformational Leadership on the Relationship between Organizational Culture and Organizational Effectiveness: An Empirical Study in Food Companies Listed at the Amman Stock Exchange-Jordan

The main aim of this study is to investigate the moderating effect of Transformational Leadership (Inspirational Motivation, Intellectual Stimulation, and Idealized Influence) on the relationship between Organizational Culture (Teamwork and Innovation) and Organizational Effectiveness in Food Companies listed at the Amman Stock Exchange -Jordan.&#x0D; &#x0D; The data was gathered through a questionnaire that was designed and distributed to convenient sample units that represented these Food Companies. A total of 236 respondents participated by answering the questionnaire, and they represented 10 percent of companies&amp;#39; employees.&#x0D; &#x0D; Descriptive analytical approaches were used to analyze the data for this study using Statistical Package for Social Sciences program V.21. &#x0D; &#x0D; The study results show that there was a significant statistical effect of Organizational Culture on Organizational Effectiveness, and there was a significant statistical moderating effect of Transformational Leadership on the relationship between Organizational Culture and Organizational Effectiveness in Food Companies listed at Amman Stock Exchange. &#x0D; &#x0D; The study recommended that these Companies need to adopt behavioral training programs for the current managers and supervisors to promote the transformational leadership style and create a climate of mutual trust and respect with employees and inspire and motivate them intellectually to increase the positive impact of transformational leadership on the relationship between organizational culture and organizational effectiveness.
A Secure Structure for Hiding Information in a Cryptosystem based on Machine-learning Techniques and Content-based Optimization using Portfolio Selection Data

Many systems including networks environment have higher complexity and ubiquitous connections than a normal system, hence design of a security system for hiding pertinent data a challenging task. This paper presents a secure structure that extends a protocol which is available for fast Diffe-Hellman protocol using Kummer surface. We show the extended version of the scheme by inclusion of an additional point, such that a more secure system can be constructed. The scheme has been build by employing machine-learning technique to select an appropriate class from multiple set of surfaces. A brief discussion on inclusion of multiple surfaces and making a selection of a specific surface using NSGA II algorithm is also provided. In this paper, we provide a brief overview of AES-128 (AES also known as Rijndael). In the starting, a short overview of the AES is given. This paper also has a description for altering the key generation module in AES based upon a newly designed content-based matrix which is built from portfolio selection data. The matrix is constructed using some predefined factors modifies the existing index which is computed based upon the context of the message. An optimization algorithm is employed for selecting specified entries from content matrix. These selected entries are used for altering the key generation algorithm in AES. The modified output obtained after altering the key generation scheme is provided in the paper. Lastly, a brief overview of LIM index, which is used as an index in cryptanalysis, is given. This paper has a description of the scheme to construct a more secure system that is capable of hiding the information with above-mentioned techniques.
HOW TO EVALUATE A PROGRAM WRITTEN BY CHILDREN: A PROGRAM EVALUATION SUPPORT TOOL FOR ELEMENTARY SCHOOL TEACHERS

Programming education will be an obligation at primary school in Japan starting in 2020. This leads elementary school teachers evaluate programs that are created by the students. However, a clear standard of evaluation which is necessary for teachers as an evaluation guidance has not been stipulated yet. The programming obligation will surely give a big burden to the them. Therefore, we are developing an application that support program evaluation, which can support teachers in evaluating programs created by children and enable to connect with the future guidance.A Program created by the children using Scratch will be read as an image and analyzed according to the evaluation item using template matching. By presenting materials to support evaluation using an application to the teachers, it can reduce their burden. In addition, by converting the results into data, it is easier to judge whether or not the children understand the content of the lesson, the teachers can respond to the children who cannot follow the class at an early stage.
Portable Camera-Based Assistive Textan product Label Reading from Hand-Held objects for Blind Persons

A camera-based assistive text reading framework to help blind persons to read the text labels and product packaging from hand-held objects in their day to day life. To separate the object from jumbled background or preceding neighbouring objects in the camera vision, we initially propose an efficient and effective motion based method to define a district of interest (ROI) in the video by ask the consumer to tremble the object. This scheme extracts moving object region by a mixture-of-Gaussians-based background subtraction technique. In the extract ROI, text localization and recognition are conduct to obtain text details. To mechanically spotlight the text regions from the object ROI, we suggest a novel text localization algorithm by knowledge grade description of stroke orientations and distributions of edge pixels in an Ad a boost model.
PENGEMBANGAN PERANGKAT ASESMEN KETERAMPILAN MENULIS TEKS EKSPLANASI DAN CERITA PENDEK SERTA IMPLEMETASI DALAM KURIKULUM 2013

Assessment is a process to obtain and collect student learning outcomes during learning. Based on the facts in the field it was found that the teacher was unable to compile assessment tools for writing explanatory text skills and short story texts. The purpose of this study was to develop assessment tools for explanatory text writing skills and short story texts consisting of teacher guides and student assignments. The research and development model used in this study is the R2D2 development model. The results showed that the assessment skills of explanatory text writing skills and short story texts developed were appropriate to be implemented in the 2013 curriculum. The teacher's guide to explanatory texts reached 91% and the teacher's guide to short story texts reached 86%. While the student assignment for the explanatory text reached 87% and the student assignment for the short story text reached 82%. Based on the results of the validity and reliability test, it shows that all the items of work that have been developed are valid and reliable.
Research on Location and Capacity Planning of Datacenters in Smart Grids with Renewable Sources

Considering the huge power consumption and controllable characteristic of datacenters, they can be potential loads integrated into smart grids with renewable sources so as to consume the generated energy which is usually intermittent and unstable, in order to keep the smart grid more stable. In this paper, we attempt to exploit the possible impact of datacenters in smart grids with renewable sources and focus on the location and capacity planning of the datacenter construction. Subject to voltage and branch power constraints, we formulated the problem to find the optimal datacenter location and capacity and proposed an algorithm to solve it based on genetic algorithm. Then, we analyzed the total power loss of the grid system under different conditions and the impact by the change of datacenter locations. Experimental results show that the approach proposed in this paper can find better solutions for location and capacity planning of several datacenters, so as to reduce the total loss of the power grid and maintain the stability of the power grid more effectively.
A Novel and Practical Scheme for Resolving the Quality of Samples in Background Modeling

In view of its important application value, background modeling is studied so widely that many techniques have emerged, which mainly concentrate on the selections of the basic model, the granularity of processing, the components in a framework, etc. However, the quality of samples (QoS) for training has long been ignored. There are two aspects regarding this issue, which are how many samples are suitable and which samples are reliable. To tackle the "how many" problem, in this paper, we propose a convergent method, coined Bi-Variance (BV), to decide an appropriate endpoint in the training sequence. In this way, samples in the range from the first frame to the endpoint can be used for model establishment, rather than using all the samples. With respect to the "which" problem, we construct a pixel histogram for each pixel and subtract one from each bin (called number of intensity values (NoIV-1)), which can efficiently get rid of outliers. Furthermore, our work is plug-and-play in nature, so that it could be applied to diverse sample-based background subtraction methods. In experiments, we integrate our scheme into several state-of-the-art methods, and the results show that the performance of these methods in three indicators, recall, precision, and F-measure, improved from 4.95% to 16.47%, from 5.39% to 26.54%, and from 12.46% to 20.46%, respectively.
A Method of Film Clips Retrieval Using Image Queries Based on User Interests

The emergence of entertainment industry motivates the explosive growth of automatically film trailer. Manually finding desired clips from these large amounts of films is time-consuming and tedious, which makes finding the moments of user major or special preference becomes an urgent problem. Moreover, the user subjectivity over a film makes no fixed trailer meets all user interests. This paper addresses these problems by posing a query-related film clip extraction framework which optimizes selected frames to both semantically query-related and visually representative of the entire film. The experimental results show that our query-related film clip retrieval method is particularly useful for film editing, e.g. showing the abstraction of the entire film while playing focus on the parts that matches the user queries.
A new scheme for improving the utilisation of nested-cloud resources

In recent years, cloud computing has played an important role in IT fields. It brings benefits such as high computing efficiency, cost saving, provisioning on-demand of computing resources and high utilisation of the hardware. However, with more fields and businesses involved in cloud computing, the inherent problems in its structure are restricting the further development of cloud computing. And the most serious problem is how to maximumly achieve the high-usage of the cloud resources. In this paper, we present a scheme based on multi-layer nested virtualisation technology. It can make full use of the allocations of a virtual machine (VM) provided by an infrastructure-as-a-service (IaaS) provider. Furthermore, we also propose a task scheduling approach for nested cloud environment correspondingly. The task scheduling algorithm considers both the computing efficiency and the monetary costs paid for the cloud service. In order to justify our proposal, we use KVM as unmodified multiple hypervisor to run multi-layer VMs on x86 platform. We also do simulations to test our task scheduling algorithm. And the result shows encouraging support for our proposal.
BILINGUAL MODULE INNOVATION WITH SAINTIFIC-BASED REGULATED LEARNING SELF STRATEGY

&lt;em&gt;This study aimed to (1) find out the feasibility of the SRLBS bilingual module, and (2) find out the difference between the final results of the bilingual SRLBS module learning with conventional learning. The research method consists of (1) research and information collection; (2) planning; (3) develop preliminary form of product; (4) preliminary field testing; (5) main product revision; (6) main field testing; (7) operational product revision; (8) operational field testing; (9) final product revision; and (10) dissemination and implementation. This study used data analysis techniques Djemari Mardapi for feasibility of product and t test for the determination of the hypothesis (paired sample t test &amp;amp; paired sample correlation). The results obtained in the form of (1) bilingual SRLBS module products have been categorized as feasible according to expert judgment, and (2) the module (SRLBS) has the potential to impact students in the form of improved metacognitive abilities, cognitive abilites, and foreign languages.&lt;/em&gt;
Image Geometrical Analogies

Geometric transform (G.T.) of images is a critical operation in commercial television, film producing and advertisement design. All geometric transformation operations are performed by moving pixel values from their original spatial coordinates to new coordinates in the destination image. The traditional algorithms for geometric transformation are time consuming and not accurate. With a very few exceptions, all geometric transformations result in some output pixel locations being missed because no input pixels were transformed there. This paper presents an easy-to- implement and very efficient algorithm for image geometric transform. The idea behind the proposed algorithm comes from the current work on transferring properties between images, where various types of properties (i.e. transformation filters) are to be learned from one source image – and applied to another target image. The results demonstrate the efficiency effectiveness of the proposed algorithm.
Correction to ‘Quantum stopwatch: how to store time in a quantum memory’

[This corrects the article DOI: 10.1098/rspa.2017.0773.][This corrects the article DOI: 10.1098/rspa.2017.0773.].
Peramalan Banyaknya Pengunjung Pantai Glagah Menggunakan Metode Autoregressive Integrated Moving Average Exogenous (ARIMAX) dengan Efek Variasi Kalender

&lt;pre&gt;Glagah Beach is one of the tourist destinations in Kulon Progo Regency, Yogyakarta which is the most visited by tourists. Glagah Beach visitors data show that in the month of Eid Al-Fitr there was a significant increase. This shows that there is an effect of the calendar variation of Eid al-Fitr. Therefore, it is needed a method that can be used to analyze time series data which contains effects of calendar variations, that is ARIMAX method. The aim of this study are to find the best ARIMAX model and to predict the number of visitors to Glagah Beach in the future. The result shows that the best ARIMAX model was ARIMAX([24],0,0). Forecasting from January to September 2016 are 37211, 21306, 26247, 24148, 28402, 29309, 81724, 26029, and 23688 visitors.&lt;/pre&gt;&lt;br /&gt; Keywords: Glagah Beach; variation of calendar; Eid al-Fitr; ARIMAX.
The Realization of Markedness in Grade XI Students’ Recount Texts in Binjai: Systemic Functional Perspective

This study is an attempt to report the findings of the realization of types and the dominant type of markedness in Grade XI students’ recount texts departing from textual function in systemic functional perspective. Qualitative content analysis was utilized as the research design in this study. Writing sheets were utilized as the instruments for collecting the data. The data were in the form of clauses taken from 25 recount texts written by grade XI senior high school student of SMA Negeri 1 Binjai. It was found that there were 1416 clauses appeared. Specifically, both marked theme (MT) and unmarked theme (UMT) were also discovered in the data with the occurrences of MT totaling to 210 (25.70%) and UMT had 607 occurrences (74.30%). It leads to the conclusion that there were 2 types of markedness namely marked theme (MT) and unmarked theme (UMT) found. Then, UMT was discoverd as the dominant type of markedness.
Perancangan Sistem Informasi Peralatan Kesehatan Dengan Metode Waterfall

The development of information technology is very rapid. Computers are tools that are created to facilitate human work for all fields. It cannot be separated from the business field, if it cannot compete by using technological advances, the company will be left behind. At present there are still companies selling medical devices where the sales system still uses manual systems. The manual system has problems such as errors in recording, inaccuracy of reports made and delays in finding the data needed. The design of a computerized information system is the best solution to solve the problems that exist in this company. The system is made using the waterfall method to be easy in the process, and with a computerized system can be achieved an activity that is effective and efficient and accurate. Because it's easier in data processing and faster in presenting the information.