Reviewerly/exHarmony huggingface dataset:
How to Exploit Through Cross-Site Scripting (XSS)

Resisting Cross-site Scripting (XSS) is one of the most daunting tasks; web applications usually have many types of vulnerabilities that trigger XSS attacks. It is one of the most common attacks, and it is always featured in the top ten IT security risks.
Making (Implicit) Security Requirements Explicit for Cyber-Physical Systems: A Maritime Use Case Security Analysis.

The increased connectivity of critical maritime infrastructure (CMI) systems to digital networks have raised concerns of their vulnerability to cyber attacks. As less emphasis has been placed, to-date, on ensuring security of cyber-physical maritime systems, mitigating these cyber attacks will require the design and engineering of secure maritime infrastructure systems. Systems theory has been shown to provide the foundation for a disciplined approach to engineering secure cyber-physical systems. In this paper, we use systems theory, and concepts adapted from safety analysis, to develop a systematic mechanism for analysing the security functionalities of assets’ interactions in the maritime domain. We use the theory to guide us to discern the system’s requirement, likely system losses, potential threats, and to construct system constraints needed to inhibit or mitigate these threats. Our analyses can be used as springboards to a set of principles to help enunciate the assumptions and system-level security requirements useful as the bases for systems’ security validation and verification.
OPTIMASI RUTE PANDUAN INFORMASI LOKASI WISATA MENGGUNAKAN ANT COLONY SYSTEM PADA KOTA BATAM

The number of tourists visiting the city of Batam both domestic and foreign tourists to spend their vacation time because the cost of living and goods are cheaper than other areas because batam is an FTZ area (free tax Zone). So that the city of Batam has become a shopping paradise for the people around Batam or outside Batam. Batam itself has several shopping destinations and places to visit for tourists. With the abundance of tourist destinations in the city of Batam, both shopping and nature tourism, it is not uncommon for tourists to experience various problems in visiting the country, one of the simple problems experienced is the problem of time and cost efficiency in conducting tours to the city of Batam. The problem that we can solve in this research is to help tourists or tourists not experience difficulties when visiting tourist attractions in Batam by using the ant colony algorithm in efficient path selection. The Waterfall Model in SDLC is a process that will be used in this study to get the best results.
A Digital Edition between Stylometry and OCR:

&#x0D; &#x0D; &#x0D; This article presents the digital edition of Robert Musil’s work (Klagenfurter Ausgabe) and its role in a digital humanities project aimed at reconstructing Musil’s activity in the WWI journal Tiroler Soldaten-Zeitung. First, the article reviews the ways in which the compu- tational methods of stylometry are applied to attribute the anonymous texts published in the Klagenfurter Ausgabe. Second, it explores how optical character recognition (OCR) soft- ware is employed to expand the corpus. At the core of this methodology two machine learn- ing algorithms are trained and revised using the transcriptions of the Klagenfurter Ausgabe, to reach an accuracy of about 99.9% in the digitization of the Tiroler Soldaten-Zeitung texts. The work of this project offers not only the possibility of expanding stylometric analysis to the whole journal, but also of improving the transcriptions of the Klagenfurter Ausgabe.&#x0D; &#x0D; &#x0D;
Imbalance Rectification in Deep Logistic Regression for Multi-Label Image Classification Using Random Noise Samples

Logistic regression (LR) is the most commonly used loss function in multi-label image classification. However, it suffers from class imbalance problem caused by the huge difference in quantity between positive and negative samples as well as between different classes. First, we find that feeding randomly generated noise samples into an LR classifier is an effective way to detect class imbalances, and further define an informative imbalance metric named inference tendency based on noise sample analysis. Second, we design an efficient moving average based method for calculating inference tendency, which can be easily done during training with negligible overhead. Third, two novel rectification methods called extremum shift (ES) and tendency constraint (TC) are designed to offset or constrain inference tendency in the loss function, and mitigate class imbalances significantly. Finally, comparative experiments with Resnet on Microsoft COCO, NUS-WIDE and DeepFashion demonstrate the effectiveness of inference tendency and the superiority of our approach over the baseline LR and several state-of-the-art alternatives.
Estimation of clock errors in underwater acoustic instruments

All underwater acoustic sensors require accurate on-board clocks for subsequent data analysis and interpretation. Unfortunately, most clock oscillators change their frequency over time, which occurs due to environmental changes, aging, and other factors. Typically, clock errors are accounted for by referencing the instrument clock to a known accurate clock (such as GPS) before and after the deployment and applying a correction during data post-processing. This method, however, does not accurately estimate clock errors during a specific experimental event. A method to estimate clock performance during the specific event of interest has been developed. It is shown that advanced signal processing techniques can be used to accurately reconstruct the motion of the acoustic source, which, in turn, can improve the accuracy of the acoustic receivers deployed on the seafloor in the deep ocean. A small subset of data collected on the last day of the Ocean Bottom Seismometer Augmentation in the North Pacific (OBSANP) Experiment in June–July 2013 is analyzed for the demonstration of these techniques. [Work supported by the MITRE Corporation’s R&amp;D Program.]
STRATEGIES TO FOSTER READING INTEREST THROUGH EMERGENT LITERACY AT TAMAN PENGEMBANGAN ANAK MAKARA

This research discusses the strategies to foster reading interest for children at early age at Taman Pengembangan Anak Makara, Universitas Indonesia that is compatible with emergent literacy implemented by effective early childhood teachers. The purpose of this study is to improve the strategy of basic literacy in order to increase reading interest in early childhood in day care centers. This research uses qualitative approach with case study method. The informants were vice coordinators of TPAM, facilitators and co-facilitators, and parents of students. The result shows that the efforts are infusing literacy introduction to children's language development, using interesting media when telling stories, reading books to children before bedtime, teaching children to love books, delivering books creatively and effectively, and providing training to the facilitators in TPAM. It was concluded that emergent literacy in TPAM emphasizes a child-oriented pattern. In essence, children can maximize their potential to have better literacy. The recommendation is that TPAM needs to give more training for the facilitators, add more varied books, and improve books related activities.
CULTURAL ARTIFACTS IN STUDENTS’ LITERACY NARRATIVE

Literacy narrative is students’ writing. The students write their experiences in pass about how they learn reading, writing, speaking or listening in English. Students’ literacy narrative tells their effort to change identity from positional identity to figurative identity by using cultural artifacts. This study presents to identify the cultural artifacts to improve the students’ figurative identity through students’ literacy narrative. The objectives of study are to identify the cultural artifacts that use to change their identity by using literacy narrative. Qualitative research used to identify the cultural artifacts through students’ literacy narratives assignment and interview. The samples of the study are 20 students of senior high school. The finding result showed cultural artifacts are as tools to change their identity as a poor writer to be a good identity. Based on the students’ literacy narrative almost all of the students change their identity by cultural artifacts as books and English program (extracurricular). But some others, they joined English course beyond the school’s program. Considering the findings, this research highlights the need several times to identify the kinds of students’ identity by using ethnography.
Enhancing the Discovery of Internet of Things-Based Data Services in Real-time Linked Dataspaces

A dataspace is an emerging data management approach used to tackle heterogeneous data integration in an incremental manner. Data sources that are participants in a dataspace can be of various types such as online services, open datasets, sensors, and smart devices. Given the dynamicity of dataspaces and the diversity of their data sources and user requirements, finding appropriate sources of data can be challenging for users. Thus, it is important to describe and organise data sources in the dataspace efficiently. In this chapter, we present an approach for organising and indexing data services based on their semantic descriptions and using a feature-oriented model. We apply Formal Concept Analysis for organising and indexing the descriptions of sensor-based data services. We have experimented and validated the approach in a real-world smart environment which has been retrofitted with Internet of Things-based sensors observing energy, temperature, motion, and light.
TruRec: An Improved Trust-Based Recommendation in Cross-Domain

In Social Network, the research of recommendation system and trust relation can improve the accuracy of recommendation. The research of traditional recommendation algorithm based on trust relation is usually based on a single domain of interest without cross-domain research. In the real world, there are often multiple areas of interest between users. Based on this reality, this paper proposes a multi-interest domain recommendation framework based on trust relationship, and obtains better recommendation effect by solving the trust relationship. The experimental results show that the proposed method is superior to the traditional methods.
THE INFLUENCE OF SPELLING BEE GAMES TO IMPROVE STUDENTS’VOCABULARY MASTERY IN USING ICD-10 CHAPTER XVIII and XXI AT APIKES IRIS PADANG

Vocabulary has become the key aspect in learning language and it should be introduced through an interesting way. One way to mastery it is through Spelling Bee game. In line with that Lewis and Hill (“1998) stated that student will not achieve success in learning unless they enjoy the process will influence their achievement. This study entitles The Influence Of Spelling Bee Games To Improve Students'Vocabulary Mastery In Using ICD-10 Chapter Chapter XVIII and XXI At Apikes Iris Padang discovers the effectiveness of the use of Spelling Bee in teaching vocabulary. The sample is given Spelling Bee treatment that was adopted from Stone (2010).The data of this study are obtained through a post test.the post- test is given in the form of spelling test. The data from the post test are analyzed statistically using SPSS 20 for windows. The result shows that the lowest score on the post test is 30.00 Meanwhile, the highest score is 95.00. The range of scores was 65.00. Dealing with central tendency, the averange score is 69.9231 and the midpoint fell on 75.0000. Then, the table also presents standart deviation which indicates the average variability of the scores from mean is 1.58482E. From the post –test result it can be seen student really influence by the spelling be game.
Peningkatan Prestasi Belajar Siswa Materi Perbandingan Dengan Model Pembelajaran Example Non Example (PTK pada Siswa Kelas VII A SMP N 02 Gondangrejo Karanganyar Tahun Pelajaran 2018/2019)

This study aims to determine the increase in student learning achievement in Comparative material with Example non example learning models. This type of research is Classroom Action Research. The subjects of the study were the sixth grade students of Gondangrejo Karanganyar 2 nd Middle School, totaling 32 students and a mathematics teacher in the VIIA class. Data collection techniques are carried out through interviews, tests, field notes and documentation. Data analysis technique begins with data reduction then data presentation and final conclusion. The results of this study indicate an increase in student learning achievement material comparison with the Example non Example learning model. This can be seen from the achievement indicators, namely students get scores above KKM (> 70) before the action as many as 9 students (28.125%), in the first cycle as many as 13 students (40.625%), in the second cycle as many as 26 students (86.25%) .
Design and prototype of a control for virtual environment in CHD examination

The study represents a preliminary step for the complete development of a virtual reality glasses control. This command will have applications for the simulation of the practice of the ultrasound examination in the diagnostic test of Congenital Heart Disease. This will help in the formation of new doctors during their practical class.
The specifics of the elementary mathematical representations formation among preschool children in the context of inclusive groups

И. Г. Калинина, Н. М
Knowledge and Attitude of Corporate Social Responsibility by Selected Small Businesses in Ado-Ekiti, Nigeria

Corporate Social Responsibility over the years is keenly observed as germane to business long term survival. The impact of CSR reflect both in the business performance and societal impact. In Nigeria, it is observed that CSR is mostly practiced by large businesses when compared to small businesses. This study objectives includes accessing the knowledge of small businesses of CSR, know the attitude of small businesses towards CSR and contributing factors to the attitude of small businesses. The researchers used descriptive analysis methods to analyse responses from respondents. Result from the study revealed that majority of respondents were of the view that CSR was strictly for large firms, so small businesses has no business engaging in CSR activities. Most small business considered CSR as waste of scarce resources and irrelevant to business growth. The result also showed that lack of knowledge, less funds, lack of exposure towards CSR and government policy are responsible for poor attitude towards CSR activities. The study recommends that government, pressure groups and other stakeholders should regularly organise programmes through various channels on the need for small businesses to change their perception about CSR. Also association, and government agencies should sanitize small businesses on the importance of CSR to their business and society.
Monetary Policy Transparency in Ghana: Recent Evidence

Monetary policy involves a dual role as central banks must not only be a heedful observer of outcomes but must also be able to shape the outcomes. In view of this, greater policy transparency has been endorsed to boost credibility, effectiveness and flexibility of monetary policy. With more than a decade of practicing of fully-fledged IT regime, it is of paramount interest to ascertain the pace of policy transparency in Ghana. Consequently, this paper determines the extent of policy transparency in Bank of Ghana, utilizing both methodologies of Dincer and Eichengreen (2008) and Al-Mashat and others (2018). The application of the two transparency measures reveals that policy transparency environment of Bank of Ghana (BOG) has indeed improved since 2009. Our score suggests that monetary policy in Ghana is 41% -57% transparent as at end 2018. The relatively moderate score for BOG emanated largely from low level of transparency about its policy framework (FPAS model) and the procedural policy processes. To further boost transparency, BOG is required to increase transparency in the documentation and publication of the Bank’s core quarterly projection model, as well as evaluating and publishing how each decision on policy instrument or target are attained. Publication of other core variables (aside inflation) in the baseline forecasts and regular external evaluation of the policy framework along with public disclosure of the findings are necessary to boost policy transparency.
Mapping quantum algorithms in a crossbar architecture

In recent years, Quantum Computing has gone from theory to a promising reality, leading to quantum chips that in a near future might be able to exceed the computational power of any current supercomputer. For this to happen, there are some problems that must be overcome. For example, in a quantum processor qubits are usually arranged in a 2D architecture with limited connectivity between them and in which only nearest-neighbour interactions are allowed. This restricts the execution of two-qubit gates and requires qubit to be moved to adjacent positions. Quantum algorithms, which are described as quantum circuits, neglect the quantum chip constraints and therefore cannot be directly executed. This is known as the mapping problem. This thesis focuses on the problem of mapping quantum algorithms into a quantum chip based on spin qubits, called the crossbar architecture. In this project we have developed the required compiler support (mapping) for making quantum circuits executable on the crossbar architecture based on the tools provided by OpenQL. Using this compiler, we have analyzed the mapping overhead of the crossbar architecture and studied how it relates to the characteristics of quantum algorithms. In addition, we have developed a verification program that checks the output of the compiler and provides a visualisation tool for debugging.
Processamento Inicial de dados Magnetotelúricos na região da bacia sedimentar Tucano central_ Análise Preliminar

In the present work we show the preliminary results from magnetotelluric (MT) data processing and the preliminary analysis of a linear profile deployed perpendicularly to the tectonic structures along the states of Bahia and Pernambuco, Brazil.To obtain an uniform distribution of the electrical conductivity of the crust and upper mantle in the SW portion of the Province Borborema, MT data were collected at 14 stations along a 240 km profile in the E-O direction.The data was processed using robust techniques, which generated MT transfer functions.For the preliminary qualitative analysis of these responses, pseudo-sections were constructed with the interpolation of the phase and resistivity data into the two orthogonal directions of measurements (XY and YX).Preliminary analysis suggests that the lithosphere under the São Francisco Craton (O portion of the profile) and the Tucano basin (E portion) are geoelectrically different.
Study of Quality Process Control in Distance Education with Dual-Mode Teaching

In this paper, the quality process control measures in distance education with dual-mode teaching were studied.The design of this kind distance education system could be developed by using the unity 3D and VR/AR device, and it contains both teaching mode of both synchronous and asynchronous.The process control measures could be taken from the teachers, learners and the developers of the platform to guarantee the teaching quality.If the teacher got better professional development and the learner got better study ability and strategies and the platform have good interactions interpersonal and human machine, and the instructional design were proper, the teaching effect will be good enough and more learner could hope to adopt this teaching method.
Correction: The Equivalence of Information-Theoretic and Likelihood-Based Methods for Neural Dimensionality Reduction

[This corrects the article DOI: 10.1371/journal.pcbi.1004141.].
New model for local fractional integral of Chebyshev polynomials for image denoising

The use of local fractional calculus has increased in different applications of image processing. This study proposes a new algorithm for image denoising to remove Gaussian noise in digital images. The proposed algorithm is based on local fractional integral of Chebyshev polynomials. The proposed structures of the local fractional windows are obtained by four masks created for x and y directions. On four directions, a convolution product of the input image pixels with the local fractional mask window has been performed. The visual perception and peak signal-to-noise ratio (PSNR) with the structural similarity index (SSIM) are used as image quality measurements. The experiments proved that the accomplished filtering results are better than the Gaussian filter. Keywords: local fractional; Chebyshev polynomials; Image denoising
Jaringan Syaraf Tiruan dalam Memprediksi Penjualan Air Minum dalam Kemasan dengan Metode Backpropogation

This study predicts the sale of bottled water by applying Artificial Neural Networks. The application uses the Backpropogation Algorithm where the data entered is the number of sales, then Artificial Neural Networks are formed by determining the number of each layer. After the network is formed training is carried out from the data that has been grouped. Experiments are carried out with a network architecture consisting of input units, hidden units, output units and network architecture. Testing is done with Matlab software. Predictions with the best accuracy use 3-10-1 architecture with an accuracy rate of 75% and the lowest level of accuracy using architecture 3-40-1 with an accuracy rate of 33%.
PENGAMANAN AUTENTIKASI SISTEM INFORMASI AKADEMIK ENGGUNAKAN KRIPTOGRAFI ONE TIME PAD

Academic information system is built to provide convenience to the students in their educational administration activities online. Each academic information system must have its own security system, but in its security must have a weakness. One of the problems encountered in the security of academic information systems is how the system can ensure that users who access data or information on the system are truly authorized users. This research is done to add security to academic information system that is with cryptography one time pad this process log in will in first authentication by sending a key to account owner SIAKAD so owner will pass 2 stages in login to academic information system
Enhance Target Features in Real-Time Arbitrary Style Transfer

Style transfer aims to transfer arbitrary visual styles to content images, and real-time arbitrary style transfer is a hot research topic, it aims real-time and arbitrary style transfer. Two current representative real-time arbitrary style transfer methods, AdaIN method and WCT method, have their own advantages and disadvantages. In this paper, the theory of the two methods were outlined, the advantages and disadvantages of the two methods were analyzed, and the influence of WCT module on the style transfer of each-level features was analyzed. Considering the combination of the two methods to overcome their shortcomings, the WCT module is added in the AdaIN method, the result feature obtained by AdaIN module is further processed by WCT module to obtain the target feature, and the content image is preprocessed by gray processing to remove some of its style features while retain content, the experimental results show that the method is feasible and effective.
LibGuides: Orientation: Module 2

This tutorial and online quiz is created by the Thurgood Marshall Library to orient new students to the library's services and resources.