Reviewerly/exHarmony huggingface dataset:
Predictive Programmatic Classification Model to Improve Ad-Campaign Click Through Rate

Programmatic advertising is a component of digital advertising where software is used to buy digital ad space in real time connecting advertiser to a specific consumer. Gaining more clicks and improving Click Through Rate (CTR) is considered as a goal for many of the programmatic advertising campaigns. The average CTR across the internet hovers around 0.2% but generally fluctuates somewhere between 0.1%–0.3% making clicks a rare event. Improving the CTR helps to manage the campaign budget efficiently. So, it’s very important to get high CTR values for the campaign to be effective. In this paper we present a classification model that will predict whether the user will click an impression or not. Most of the state-of-the-art works in this area are focused on learning the feature interactions and capturing the user interest evolving process. As majority of the features in ad-techspace are categorical type and with high cardinality, it’s very important to encode the features to best relate it with the class label and reduce the dimensionality. Less attention is being paid to the encoding part by most of the state-of-the-art works. The proposed method uses a custom feature encoding which is underpinned on class label distribution. A hybrid approach comprising class weight, stratified cross validation and probability thresholding is used for dealing with class imbalance. f1-score is set as the model evaluation metric and proposed encoding scheme showed a 68.55% test f1-score whereas the classical one hot encoding showed just 60.92% f1-score.
Dynamic Time Slice Task Scheduling in Cloud Computing

Task scheduling is an integral part of cloud computing. The dynamic nature of cloud systems imposes great difficulty in scheduling tasks. There exists a wide variety of scheduling algorithms and parameters to be optimized. It is hard to find an optimal solution because of the conflicting property of the metrices. In this work, we propose a dynamic time-slicing of round robin. This strategy is compared with First Come First Served and Round Robin. By this method average waiting time and number of context switches are reduced.
ANALISIS KOMUNIKASI DAN KOMPUTERISASI TERHADAP KUALITAS AKSES DATA PADA KANTOR DINAS KEPENDUDUKAN DAN PENCATATAN SIPIL DI KOTA MAKASSAR

The research aimed to find out and analysis the effect communication and computerization toward quality of data access, and to know and analysis the dominant variable which effect toward quality of data access on Department of Population and Civil Registration at Makassar City. This research was conducted in Department of Population and Civil Registration at Makassar City, with population and sample as amount 155 respondent. Data were analyzed descriptively to explain the research data, while to analyzed of quantitative data used of multiple regression analysis. The result of research to found that the communication have positive and significant toward quality of data access on Department of Population and Civil Registration at Makassar City. Through the message exchange in activity have applied with communication in vertically, horizontal and diagonal to fluent the quality of data access in administration population and civil registration services. The computerization have positive and signfiicant toward quality of data access on Department of Population and Civil Registration at Makassar City. The applied of management system which computerization basically through the activity input, process, output and feedback toward quality of data access. Then the computerization have dominant effect toward quality of data access on Department of Population and Civil Registration at Makassar City. These mean that the quality of data access have to interpretation, to confirm, verification and maintenance as the assurance on result of service population and civil registration which applied by employee.
Studentsʼ Views on the Use of Information and Communication Technology and Experiential Learning in Science Lessons

In science classes, experiential work with concrete material is very important. Lessons may be enriched by integrating information and communication technology (ICT) which contributes to increased motivation, as well as better knowledge and satisfaction of students. The aim of the study was to find whether students in these times prefer science lessons in the classroom with practical activities or by using the computer, and to find possible differences in opinions of children from rural versus urban environment. The research included 125 Slovenian primary school students (90 years old), who answered a questionnaire. The results showed that students still prefer experiential learning, performing experiments, science days and operating with real objects in comparison to using the computers (film, games, etc.). An important finding is that students prefer learning in the classroom with their classmates rather than distance learning with the help of a computer.
The Blockchain Does not Decrease, AtoX Seizes the Opportunity to Develop

For the practitioners of the blockchain industry, nowadays it is both the moment of collapse of faith and the timing of renewed faith. On the surface, it is a dark-shrouded age, but it is also an era of glory. The blockchain in 2018 can be said to be in deep trouble. This year, the currency circle and blockchain circle seem to have become calm and quiet after undergoing repeated shuffles, but this does not mean that the “blockchain” will disappear afterward.2018, in addition to the forward-looking projects such as AtoX, which led the blockchain technology to the stage of 4.0, which attracted people's attention. Recently, an announcement issued by the internationally renowned scientific journal “Nature” was published in its official website, also caused a stir in the industry.In the past year, the top three hottest words among scientists from all over the world were “cancer”, “blockchain” and “big data”. The “blockchain” jumped from No.19 in 2017 to the second place, that is to say, although today's blockchain is in deep waters, there are still a large number of believers who insist and support it, and it also indicates that a large number of researchers may wish to apply the blockchain to their work.The chain circle has been a paradise for those who fantasize about being rich overnight. And it is also a profit-seeking field for those who seeking wealth, but these are not the true meaning of the existence of the blockchain. As a underlying technology, blockchain is not what most people called a speculative carrier, but a gospel of a truly reliable and truly solid team.That's the case with the AtoX team, whose R&D members are among the best, and they bring blockchain technology to a new level in the AXC lab in Silicon Valley, USA. Technology and application, both hands must be grasped, both hands must be hard! These dedicated teams are probably the main reason why the “blockchain” can be one of the most searched keywords in the world in 2018.Although the blockchain in 2018 is basically in the stage of bear market, people in the coin circle cried from hunger and cold all year round. Some people lose their faith and gradually retreat. Some people can't stand the baptism of the bear market, after being cut in half and ran away, but there are still people who are paying attention and sticking to their beliefs.In 2019, the AtoX project team will, as always, do practical things, work hard to develop, and promote the development of the industry with advanced technology, bringing users a better experience and service.
On stochastic accelerated gradient with non-strongly convexity

&lt;abstract&gt;&lt;p&gt;In this paper, we consider stochastic approximation algorithms for least-square and logistic regression with no strong-convexity assumption on the convex loss functions. We develop two algorithms with varied step-size motivated by the accelerated gradient algorithm which is initiated for convex stochastic programming. We analyse the developed algorithms that achieve a rate of $ O(1/n^{2}) $ where $ n $ is the number of samples, which is tighter than the best convergence rate $ O(1/n) $ achieved so far on non-strongly-convex stochastic approximation with constant-step-size, for classic supervised learning problems. Our analysis is based on a non-asymptotic analysis of the empirical risk (in expectation) with less assumptions that existing analysis results. It does not require the finite-dimensionality assumption and the Lipschitz condition. We carry out controlled experiments on synthetic and some standard machine learning data sets. Empirical results justify our theoretical analysis and show a faster convergence rate than existing other methods.&lt;/p&gt;&lt;/abstract&gt;
IS Risks Governance for Cloud Computing Service

Gamal, Mohamed Helal, Iman M. A. Mazen, Sherif A. Elhennawy, SherifCloud computing services have become important to IS/IT recently. Cloud service providers (CSPs) support different types of cloud computing services (Infrastructure as a Service, Platform as a Service, and Software as a Service). There are many challenges and concerns in using cloud computing services that may cause many risks. These risks need addressing while using cloud computing. CSPs provide procedures in order to control risk areas while providing their services. There are many studies that assess risks in cloud computing services. They provide evaluation tools and/or frameworks to manage the risk in cloud computing services. Moreover, IS/IT governance is one of the most powerful ways to achieve IS/IT business alignment. The main goals of IS/IT governance are to ensure that the investments in IS/IT generate business values and to mitigate the risks associated with IS/IT. Even though there are various risks in cloud computing services, there is no comprehensive framework to support risk assessment according to user’s needs. In this paper, we aim to provide a conceptual framework for governance in cloud computing services. This framework will focus on cloud client (CC) requirements to achieve the governance.
Chapter 3: Case Studies and Thought Starters

In chapter 3 of Library Technology Reports (vol. 55, no. 8), “Blockchain in Libraries,” eight case studies are presented. These case studies are brief thought starters to introduce possible applications of blockchain in libraries. Any of the concepts can be extended to special collections, archives, museums, or other memory institutions. Interested readers may want to employ these to educate themselves or perhaps to explore the feasibility of these ideas.
Internet of Things - A Technological Revolution

The term Internet of things coined in the technological era seems to be much more efficient than traditional approaches providing excellent service and ease in life. By introducing IoT, there can be an advancement on a magnanimous scale automating almost everything. IoT is based on real-time data and scenarios that can also be incorporated with the methods of AI and its subcomponents for further improvement. In doing so, the effectiveness of machines along with ease of control increase assisting humans in the everyday schedules of life.
Chapter 4: Barriers and Challenges to Blockchain Implementation in Libraries

Chapter 4 of Library Technology Reports (vol. 55, no. 8), “Blockchain in Libraries,” looks at the barriers and challenges of implementing blockchain in libraries.
RANCANG BANGUN APLIKASI REVIEW PENGUNJUNG TERHADAP PELAYANAN HOTEL PADA THE HILLS HOTEL BATAM

The services provided by the hotel support the mission of The Hills Hotel at Batam City. The critique and suggestion form provided by the hotel has a function to accommodate complaints from visitors against the waiters that the hotel has provided. The use of this criticism and suggestion form has often been ignored by visitors because it is still conventional. The purpose of developing this application is to replace the function of criticism and suggestion forms that still use paper into digital form in the form of ratings in the hope of increasing the interest of hotel visitors in providing visitor responses to hotel services. The development of this application uses the method of observation, literature study and needs analysis and the design of this application system uses the prototyping methodology. This application development uses Android Studio software and uses MySQL as a database. The design of this application uses Unified Modelling Language to describe the actions that occur in this application. Application of Visitor Response to Hotel Services as a substitute for criticism and suggestion forms serves to collect data on hotel visitor responses and the collected data will be used as material for hotel reviews in improving the quality of their servants.
Parity alternating permutations starting with an odd integer

A parity alternating permutation of the set [n] = {1, 2, . . ., n} is a permutation with even and odd entries alternatively.We deal with parity alternating permutations having an odd entry in the first position, PAPs.We study the numbers that count the PAPs with even as well as odd parity.We also study a subclass of PAPs being derangements as well, parity alternating derangements (PADs).Moreover, by considering the parity of these PADs we look into their statistical property of excedance.
Trustless Technology within Trust Based Systems; A Comparative Study of the Big Four’s Approach to Blockchain Adoption and its Future Prospects

Technological developments and industrial adaptations are leading to a fundamental change in how industries and strategy function in the world today. Disruptive technologies are forcing us to reconsider the way we make decisions, and the models that were previously in place for delivering products and services. Block-chain in particular has demonstrated its ability to completely upend industry as we know it. Its main strengths lie in the fact that it is decentralized, unchangeable, anonymous and audit-able. In this paper, we present a comparative study on the Big Four accounting firms’ approach to Block-chain development and adoption. We first give an overview of the block-chain technology and key characteristics of the block-chain and its applications. Furthermore, we discuss some existing approaches for block-chain development and application in the Big Four accounting firms and highlight the opportunities and future prospects of block-chain technology that can be utilized by the four professional services conglomerates.
Library Portal: The Gateway of Information

Abstract: This paper emphasizes the significance, elements and functionality of library portals, the role of librarian as selector and organizer of information on the web .It is imports the functions of librarian in the traditional setting into the web setting. It also highlights the concept of library portals and information gateway
Desenvolvimento de um aplicativo multiplataforma para compras mensais de supermercado.

This work aims to develop a mobile application that assists purchases made in supermarkets, especially larger purchases, those that have a larger volume and are usually made once a month. In the application, the user chooses the products, makes the payment and receives the products at home. This system was developed using tools that allow it to run on Android and iOS systems. For this, we used the technologies offered by FireBase and Ionic Creator. During the development of the project, specific features of Software Engineering, Mobile Systems and Database were used.
Kombinovani pristupi u nastavi jezika pomorske struke

Over the last few decades the teachers of English for specific purposes have been facing growing challenges in designing curricula and teaching materials and in applying contemporary teaching methods aiming to satisfy the communicative needs of the learners. Adding the actual requirements and constraints imposed by the Covid-19 pandemic, the concept of blended learning based on the use of modern technologies in the teaching process comes to the forefront. The aim of this paper is to show the possibilities of applying some of the latest approaches to language teaching, as well as some of the up-to-date electronic applications for distance learning. The paper rests on the examples taken from teaching Maritime English at the Faculty of Maritime Studies in Kotor. In particular, we demonstrate experience and recommendations for a specific form of team or collaborative teaching called “twinning” and the use of “Spiral” application tested in teaching ESP for the students of Marine Engineering and Nautical Studies and Maritime Transport.
Data Vault using Data Science

Application security and data security is a major concern in the current application development environments. This work is mainly about deploying website that secures data on the application using the best state of the art cryptographic algorithms. The basic cryptographic algorithms used in this work are two, one is the AES algorithm and the other algorithm is DES algorithm. A combination of these two algorithms are used here for best security outcomes. In short, the work came out with an idea of double encryption by first encrypting the plain text through AES algorithm and again encrypting the cipher text using DES algorithm now this same process is done in reverse while decrypting this cipher text. In future a study will be done on RSA algorithm according to the need for the security. The kind of data the web application stores are certificates and documents of public which they might need in various occasions and to access them from anywhere they want to. Another kind of data are the peoples i.e. civilians their documents, bonds, certificates which might be needed in government activities, mainly focusing on people in remote places. Besides protecting the data, this website also gives the accessibility to the data from anywhere as a virtual copy, which can be accessed by the individuals through their individual login ids that would be provided by the website. In work also made a capacity reasoning and protecting the endorsements and properties with the assistance of the chained calculation. Any place the information is needed, the same can undoubtedly returned from the website and cab be download. In future, the work will be studied with dynamic RSA key calculation dependent on the individuals' requirements and as a result through the work it will be providing a much safer place for the people to store their documents and gives accessibility to the users from where ever and whenever they want to.
PENGARUH PEMBELAJARAN DARING TERHADAP MINAT BELAJAR FISIKA PESERTA DIDIK

The purpose of the research was to determine whether there was an effect of online learning on the increase or decrease in students' interest in learning. The method used is a quantitative research method. The population in this research all students of class X at SMK Muhammadiyah Bungoro for the academic year 2021/2022. The sample in this research was determined by random sampling technique. In this random technique, class randomization will be used with the assumption that all populations are homogeneous. The sample in this research amounted to 30 people. In this research, the independent variable is online learning and the dependent variable is interest in learning. The instrument used in this research is a learning interest questionnaire. In the data analysis technique, this research uses the product moment correlation technique and simple linear regression with SPSS 16 for Window. Based on the results of the study, it can be concluded that there is an effect of online learning on interest in learning by showing significant results of 66.2%.
Classify and generate: Using classification latent space representations for image generations

Utilization of classification latent space information for downstream reconstruction and generation is an intriguing and a relatively unexplored area. In general, discriminative representations are rich in class-specific features but are too sparse for reconstruction, whereas, in autoencoders the representations are dense but have limited indistinguishable class-specific features, making them less suitable for classification. In this work, we propose a discriminative modeling framework that employs manipulated supervised latent representations to reconstruct and generate new samples belonging to a given class. Unlike generative modeling approaches such as GANs and VAEs that aim to model the data manifold distribution, Representation based Generations (ReGene) directly represent the given data manifold in the classification space. Such supervised representations, under certain constraints, allow for reconstructions and controlled generations using an appropriate decoder without enforcing any prior distribution. Theoretically, given a class, we show that these representations when smartly manipulated using convex combinations retain the same class label. Furthermore, they also lead to the novel generation of visually realistic images. Extensive experiments on datasets of varying resolutions demonstrate that ReGene has higher classification accuracy than existing conditional generative models while being competitive in terms of FID.
Adaptive neuro-fuzzy approach for prediction of global solar radiation for 25 cities falling under seven Köppen climatic zones

Estimation of solar energy is essential for the identification of suitable locations for solar-based energy systems and their optimal sizing. In this work, capability of adaptive neuro-fuzzy infere...
Where to Encode: A Performance Analysis of x86 and Arm-based Amazon EC2 Instances.

Video streaming became an undivided part of the Internet. To efficiently utilise the limited network bandwidth it is essential to encode the video content. However, encoding is a computationally intensive task, involving high-performance resources provided by private infrastructures or public clouds. Public clouds, such as Amazon EC2, provide a large portfolio of services and instances optimized for specific purposes and budgets. The majority of Amazon’s instances use x86 processors, such as Intel Xeon or AMD EPYC. However, following the recent trends in computer architecture, Amazon introduced Arm-based instances that promise up to 40% better cost performance ratio than comparable x86 instances for specific workloads. We evaluate in this paper the video encoding performance of x86 and Arm instances of four instance families using the latest FFmpeg version and two video codecs. We examine the impact of the encoding parameters, such as different presets and bitrates, on the time and cost for encoding. Our experiments reveal that Arm instances show high time and cost saving potential of up to 33.63% for specific bitrates and presets, especially for the x264 codec. However, the x86 instances are more general and achieve low encoding times, regardless of the codec.
The Powtoon-based Animated Learning Materials to Keep Students Learning from Home Amidst Covid-19 Pandemic

The fast development of science and technology has brought about changes in human life. This applies to all aspects of life including education. In the field of education, teachers are demanded to adjust to the development that they can no longer be dependent just on their textbooks or course books, if they want their teaching to be motivating and successful. They need to be updated with the current development of technology and be creative and innovative in their teaching, hence, need to be technology-literate. Learning interactions no longer take place only in the real, but also in virtual classroom, especially due to Covid-19 pandemic. This paper justifies that Powtoon is a good choice for a teacher because it is not only an application to be used to video-animate teaching materials, but also as a teaching media by which materials can be interestingly presented to keep students learning from home during the pandemic of Covid-19. Moreover, it is also a Learning Management System which a teacher can use to create a virtual classroom. Keywords:Powtoon; Learning Material; Learning from Home; Covid 19 Pandemic