Reviewerly/exHarmony huggingface dataset:
Improve the Performance of Advice Systems Based on Cooperative Liquidation Using Trust Relationships

Recommender systems are one of the recent inventions to deal with information overload problem and provide users with personalized recommendations that may be of their interests. Collaborative filtering is the most popular and widely used technique to build recommender systems and has been successfully employed in many applications. However, collaborative filtering suffers from several inherent issues that affect the recommendation accuracy such as: data sparsity and cold start problems caused by the lack of user ratings, so the recommendation results are often unsatisfactory. To address these problems, we propose a recommendation method called “MFGLT” that enhance the recommendation accuracy of collaborative filtering method using trust-based social networks by leveraging different user's situations (as a trustor and as a trustee) in these networks to model user preferences. Specifically, we propose model-based method that uses matrix factorization technique and exploit both local social context represented by modeling explicit user interactions and implicit user interactions with other users, and also the global social context represented by the user reputation in the whole social network for making recommendations. Experimental results based on real-world dataset demonstrate that our approach gives better performance than the other trust-aware recommendation approaches, in terms of prediction accuracy.
Financial globalisation and economic transformation in Africa: Evidence from Nigeria

This study examines the effects of financial globalisation on the Nigerian economy using data from the Central Bank of Nigeria statistical bulletin and the Nigeria Bureau of Statistics reports from 1992 to 2017.Using both descriptive and inferential statistical analyses, the study reveals that financial globalisation has helped to mobilise foreign direct investment into the economy and the significant positive effect of personal remittances on per capita income of Nigerians.Therefore it recommends that favourable policies to attract and retain FDI and personal remittances from developed nations should be encouraged and African governments and economic actors should consider all stakeholders' interests, and ensure that an international financial and trade system is "fair and reciprocal" to eliminate the persisting trends in abject poverty, predatory trade policies and the escalation of economic inequalities in Africa.
Survey on generative adversarial networks

GAN stands for Generative Adversarial Networks.GANs are the most interesting topics in Deep Learning. The concept of GAN is introduced by Ian Good Fellow and his colleagues at the University of Montreal. The main architecture of GAN contains two parts: one is a Generator and the other is Discriminator. The name Adversarial stands for conflict and here the conflict is present between Generator and Discriminator. And hence the name adversarial comes to this concept. In this paper, the author has investigated different ways GAN’s are used in real time applications and what are the different types of GAN’s present.GAN’s are mainly important for generating new data from existing ones. As a machine learning model cannot work properly if the size of the dataset is small GAN’s are here to help to increase the size by creating new fake things from original ones.GAN’s are also used in creating images from the given words that are text-to-image conversion.GANs are also applied in image resolution, image translation and in many other scenarios. From this survey on GAN author aim to know what are the different applications of GAN that are present and their scope. The author has also aimed at knowing the different types of GAN’s available at present. The author has also aimed at knowing the different applications of GAN and different proposed systems by various authors.
An approach to building energy clusters using particle swarm optimization algorithm for allocating the tasks in computational grid

&lt;span&gt;The proper mapping in case of allocation of available tasks among particles is a challenging job to accomplish. It requires proper procedural approach and effectual algorithm or strategy. The deterministic polynomial time for task allocation problem is relative. The existence of proper and exact approach for allocation problem is void. However, for the survival of the grid and executing the assigned tasks, the reserved tasks need to be allocated equally among the particles of the grid space. At the same time, the applied model for task allocation must not consume unnecessary time and memory. We applied Particle Swarm Optimization (PSO) for allocating the task. Additionally, the particles will be divided into three clusters based on their energy level. Each cluster will have its own cluster header. Cluster headers will be used to search the task into space. In a single cluster, particles member will be of same energy level status such as full energy, half energy, and no energy level. As a result, the system will use the limited time for searching task for the remaining tasks in it if a particular task requires allocating half task to a particle.&lt;/span&gt;
Nolong.in: an android based incident notification application with push notification technology

&lt;span lang="EN-GB"&gt;In driving, the most important thing to be considered is safety. The incident problem can happen anytime and anywhere without anyone knowing it before, especially in Cikarang where the level of incident is quite high. It is very important for the public community to act and respond quickly at the time on and around the occurring incident. Nolong.in application is an exact solution because it can send real time notifications to its users. This response is meant to assist individuals who have been using Nolong.in to help other users who need urgent help when the time of incident in order to prevent unwanted situations. In this research, push notification method has been implemented by using Firebase Cloud Messaging (FCM). The result of the research is the notification click ratio is 90.91% and the click time is 1 minute and 27 seconds. Based on the questionnaires’ results given to the community conclude that Nolong.in application is very beneficial for Gojek Cikarang community's safety.&lt;/span&gt;
RELATIONSHIP BETWEEN RED CELL DISTRIBUTION WIDTH AND CLINICAL STROKE SCORING SYSTEMS IN ACUTE ISCHEMIC STROKE.

Red cell distribution width (RDW) is a hematological parameter routinely obtained as a part of Complete blood count.Recently RDW has emerged as a potential independent predictor of clinical outcome in patients with established cardiovascular disease.However, little is known about the role of RDW as a predictor of severity among persons with ischemic stroke . 1 Hence elevated RDW may be a useful parameter to follow the development of atherosclerosis and hence stroke.Methods: The present study was conducted in the department of Medicine, KIMS Hospital , Bangalore, on 100 patients diagnosed to have acute ischemic stroke during the period of Novenber 2015 to September 2017.Data was collected by relevant history, clinical examination, investigations.Results: In the analysis, RDW was found to be significantly elevated in patients with moderate to severe strokes and it was also found that RDW was significantly elevated in stroke patients who suffered mortality during the hospital stay. Conclusion:The present study showed that RDW potentially is an important parameter for predicting the severity and outcome of acute ischemic stroke.Copy Right, IJAR, 2019,.
A secure image steganography based on burrows wheeler transform and dynamic bit embedding

In modern public communication networks, digital data is massively transmitted through the internet with a high risk of data piracy. Steganography is a technique used to transmit data without arousing suspicion of secret data existence. In this paper, a color image steganography technique is proposed in spatial domain. The cover image is segmented into non-overlapping blocks which are scattered among image size window using Burrows Wheeler transform before embedding. Secret data is embedded in each block according to its sequence in the Burrows Wheeler transform output. The hiding method is an operation of an exclusive-or between a virtual bit which is generated from the most significant bit and the least significant bits of the cover pixel. Results of the algorithm are analyzed according to its degradation of the output image and embedding capacity. The results are also compared with other existing methods.
Cloud based secured framework for implementation of online voting system

&lt;p&gt;Accessing and Utilization of data and information from remote location is one of the major requirements of present world. Due to the increase in the requirement of the data access from remote locations, challenges in the enhancement of technology based systems also have increased proportionately. Technology based solution for accessibility of remote data with available infrastructure is the need of the hour. Implementation of technology based solutions for the challenges may be expensive due to the current technical limitations. In this paper, we have attempted to design a secured cloud based framework for Online Voting System and analyzed its performance based on the three cryptographic algorithms namely Blowfish, AES and RSA.&lt;/p&gt;
Penerapan K-Means Clustering Dalam Pengelompokan Lipstik Matte Lip Cream Berdasarkan Warna RGB

Lipstick is the most widely used type of cosmetics and very familiar in the community, almost all make-up brands produce this type of cosmetics. Lipstick colors can generally be grouped into the following: nude, pink, and red. The lipstick used as the object of the study were 10 (ten) samples obtained from NYX Matte Lip Cream Lipstick, from each sample sampled 1 time. From the diversity of colors, lipstick can be grouped into 3 (three), 4 (four) and 5 (five) groups. Based on this, the lipstick will be grouped using the K-Means Clustering method, but before grouping the characteristics obtained with the Euclidean Distance and Coefficient Correlation methods and the combination of various attribute formation are needed. The grouping results using the K-Means Clustering method produces 3 clusters, 4 clusters and 5 clusters where the formation of attributes by Summing up and searching for Average Values is the formation of attributes that produce the same clustering in clustering processes 3 and 4 clusters. The formation of centroid values also affects the results of grouping. The results of the grouping comparison are: grouping 3 clusters produces group A consisting of 8 members, group B and C have 1 different member. And grouping 4 clusters results in a division of groups A and D having 4 different members and groups B and C having each cluster 1 member.
An Iterative Method Based on the Marginalized Particle Filter for Nonlinear B-Spline Data Approximation and Trajectory Optimization

The B-spline function representation is commonly used for data approximation and trajectory definition, but filter-based methods for NWLS approximation are restricted to a bounded definition range. We present an algorithm termed NRBA for an iterative NWLS approximation of an unbounded set of data points by a B-spline function. NRBA is based on a MPF, in which a KF solves the linear subproblem optimally while a PF deals with nonlinear approximation goals. NRBA can adjust the bounded definition range of the approximating B-spline function during run-time such that, regardless of the initially chosen definition range, all data points can be processed. In numerical experiments, NRBA achieves approximation results close to those of the Levenberg–Marquardt algorithm. An NWLS approximation problem is a nonlinear optimization problem. The direct trajectory optimization approach also leads to a nonlinear problem. The computational effort of most solution methods grows exponentially with the trajectory length. We demonstrate how NRBA can be applied for a multiobjective trajectory optimization for a BEV in order to determine an energy-efficient velocity trajectory. With NRBA, the effort increases only linearly with the processed data points and the trajectory length.
KORELASI KETERAMPILAN MEMBACA PEMAHAMAN DAN KETERAMPILAN MENULIS TEKS LAPORAN HASIL OBSERVASI SISWA KELAS VII SMP NEGERI 4 PARIAMAN

ABSTRACT This research focus on the describing skill correlation of reading understanding and skill text writing report observation results of the seventh grade students of SMP Negeri 4 Pariaman. This type of research is quantitative research with correlational methods. The sample of this research is students of SMP Negeri 4 Pariaman amounted 42 students. The data of this research are the score of the reading comprehension skill test results and the score of the test results in the writing skills of the report text of the seventh grade students of SMP Negeri 4 Pariaman. Based on the research, it can be concluded that there is a significant relationship between reading skills understanding of the report writing skills in the text of the observation results of seventh grade students of SMP Negeri 4 Pariaman. Based on analysis data and discussion, there are several conclusion obtained. First, the skill of Report Writing Text Results of Observation of seventh grade Students of SMP Negeri 4 Pariaman is in good qualification (80.95). Second, the skill of reading Comprehension of seventh grade Students of SMP Negeri 4 Pariaman is in good qualification (80.36). Kata kunci: Korelasi, Membaca Pemahaman, Menulis, Teks Laporan Hasil Observasi
Integrating Technology for Teaching English Writing as A Foreign Language in Indonesian Context

English writing is considered as one of difficult skills in language learning.Therefore, senior high school student have difficulties in figuring out the ideas and ways to write effectively.The aim of this study is find out the effect of integrating technology to the students' writing skills.This present study used a classroom action research in three cycles in twelve meetings with 35 first grade students as the participant at SMA Kartika XIX Bandung, Indonesia.The procedure of the research consisted of planning, action, observing, and reflection.The data collecting instruments were test, observation, and interview.The result of the study shows that there is a significant improvement in students' writing skill.It can be inferred that most of students understood and felt more confident in writing descriptive.The results also indicated that they were enthusiastic and motivated during the lesson by integrating technology in language learning.
Using Machine Learning to Predict Stealthy Watermarks in Files During Cyber Crime Investigations

Digital evidence continues to be an integral component in cybercrime investigative and judicial processes. However, increasing volume digital content and files makes it challenging for forensic examiners to process evidence in a timely way. In this paper, we use machine learning to predict stealthy watermarks in various file types. We use a black box approach which is different from current steganographic and cryptographic methods to find patterns of candidate file locations for hidden data. The results in this paper demonstrate that it is possible to use machine learning to build singleton models of the same file type as well as hybrid models to predict stealthy watermarks in files. In our experiments, the DOCX singleton models predicted stealthy watermarks with predictive accuracies ranging from 40% to 100%. The PPTX singleton model predicted stealthy watermarks with predictive accuracies ranging from 32.5% to 100%. Similarly, the JPEG singleton model predicted stealthy watermarks with predictive accuracies ranging from 37.5% to 65%. We also generated four types of hybrid models: both HYBID3 and JPEG_PPTX models predicted stealthy watermarks with predictive accuracies ranging from 47.5% to 92.5% while HYBRID_OOXML model predicted stealthy watermarks with predictive accuracies ranging from 32.5% to 100%. In addition, JPEG_DOCX model predicted stealthy watermarks in files with predictive accuracies ranging from 47.5% to 90%.
Studying National Culture – Modality To Develop Intercultural Competences In Higher Education

The students must to be prepared for their integration in a multi-ethnic reality, to work in an inhomogeneous cultural space, which presupposes accepting, relating and collaborating with different people. In this respect, the students have to communicate and work with people who proved by the different cultural spaces. Our study starts from the premise that knowing national culture the students are prepared to understand the other culture and to interact with different people. In this respect, we are presenting some problems liked by the intercultural competences of the students and showing that knowing own culture the students are prepared to understand the other culture and to interact with people from different geographical regions. Additional, the paper underlines the contribution of teaching-learning strategies in development of the behaviour, attitudes, gestures and values of students. All of examples mentioned in the paper can be used by the students and teachers in the training and teaching activities in the university. The methodological aspects propose in this paper encourage the study of national culture in Higher educational system
Gerakan dan pendidikan literasi media kritis di indonesia (studi terhadap yayasan pengembangan media anak)

This paper aims to present about media literacy movements and education carried out by the Children's Media Development Foundation (YPMA) with a perspective on media political economy studies. YPMA was chosen as the object of research because it is widely known as an institution that concentrates and is consistent in the development of child literacy in Indonesia. This paper focuses on the strategy of movement and media literacy education carried out by YPMA during the period 2006 to 2016. The method used is qualitative with descriptive research type. It is known that YPMA has a target in every program implementation is at the age of children and adolescents. Therefore, YPMA devised several strategies such as socialization and campaigns through schools and other educational institutions, held training for teachers, and emphasized the involvement of parents as a significant other in media literacy education. Keyword: Media Literacy, YPMA, Political Economy,
Identification information sensors of robot systems

&lt;span lang="IN"&gt;At the present time, the complexity of identification is to find such a description, in which the image (information) of each class would have identified similar properties. The task is to make the transformed description includes the whole set of input images, united by the similarity class by the given ratio.&lt;/span&gt;&lt;span lang="IN"&gt;Using the ordinates of an autocorrelation function is an inseparable shift in the center of gravity of an image, which leads to a change of such description.&lt;/span&gt;&lt;span lang="IN"&gt;Nicest, the concept of an invariant description of information arises, this is an autocorrelation function, which is invariant to the description of any displacements of the image in the vertical and horizontal directions.&lt;/span&gt;&lt;span lang="IN"&gt;The problem of finding an optimal decision rule arises, which, in a number of cases, can be constructed on the basis of a method, based on the definition of the maximum incomplete coefficient of similarity.&lt;/span&gt;&lt;span lang="IN"&gt;Using this method, the solutions, that are almost unintelligible to the errors that arise due to the effects of interference, are found. Therefore, in increments&lt;/span&gt;&lt;span lang="EN-US"&gt; k&lt;/span&gt;&lt;span lang="IN"&gt;, this rule passes into the Bayes’ rule.&lt;/span&gt;
Unethical practices among physics education teachers in post primary schools and tertiary institutions

The physics teachers as well as the physics students are always cautioned against engaging in practices that are against the university's code of conduct.Despite this, some physics teachers in Anambra State still find means of cutting corners by engaging in acts that are unethical to the secondary schools.Indiscipline among physics students in post primary institutions in Anambra state can be encouraged by unethical practices among physics teachers.Physics education goals as spelled in the National Policy of Education can hardly be achieved without firm obedience to set down rules essential for the general welfare of the society and on this ground this paper critically x-rayed the effect of some unethical practices, such as absenteeism from scheduled lesson/ lecture period, taking undue advantages of physics students, facilitating, aiding, abetting or assessor to examination malpractice and money for marks racketing among physics teachers as the causes of indiscipline in post primary and tertiary Institutions in Anambra State.The paper is of the view that there is need for a holistic reorientation, re-engineering and rebranding of physics education teachers on their professional code of conduct, especially during physics education teachers training and recruitments, if effective quality of physics education is to be achieved in Anambra State.The paper highlights recommendations geared at promoting ethical behaviours in the post-primary and tertiary institutions in Anambra State.
Samplers and Extractors for Unbounded Functions.

Blasiok (SODA'18) recently introduced the notion of a subgaussian sampler, defined as an averaging sampler for approximating the mean of functions $f:\{0,1\}^m \to \mathbb{R}$ such that $f(U_m)$ has subgaussian tails, and asked for explicit constructions. In this work, we give the first explicit constructions of subgaussian samplers (and in fact averaging samplers for the broader class of subexponential functions) that match the best-known constructions of averaging samplers for $[0,1]$-bounded functions in the regime of parameters where the approximation error $\varepsilon$ and failure probability $\delta$ are subconstant. Our constructions are established via an extension of the standard notion of randomness extractor (Nisan and Zuckerman, JCSS'96) where the error is measured by an arbitrary divergence rather than total variation distance, and a generalization of Zuckerman's equivalence (Random Struct. Alg.'97) between extractors and samplers. We believe that the framework we develop, and specifically the notion of an extractor for the Kullback-Leibler (KL) divergence, are of independent interest. In particular, KL-extractors are stronger than both standard extractors and subgaussian samplers, but we show that they exist with essentially the same parameters (constructively and non-constructively) as standard extractors.
Financial development and economic growth nexus: A more revisionist approach

Abstract I provide extensions to Nyasha and Odhiambo regarding models of the finance—growth nexus. These models allow for heterogeneity, as well as mediation versus moderation effects of financial development. The conclusion is that useful models can be very different compared to what has been done in the literature.