Reviewerly/exHarmony huggingface dataset:
AnnaBellaDB

The cloud-native paradigm has become a widely applied approach to ensure elasticity and reliability of applications running in the cloud. One recurrent motif is the stateless design of applications, which aims to decouple the life-cycle of application states from the life-cycle of individual application instances. Application data is written to and read from cloud databases, deployed close to the application code to ensure low latency bounds on state access. When applying a stateless design, the performance of the cloud service is often limited by the cloud database. In order not to become a bottleneck, database instances are distributed on multiple hosts, and strive to ensure data locality for all application instances. However, the shared nature of certain states, and the inevitable dynamics of the application workload necessarily lead to inter-host data access within the data center or even across data centers and edge servers, if the service is geographically distributed. To minimize the service performance loss due to the stateless design of applications, we propose a latency and access pattern aware state storage design and adapt it to Anna, a key-value store from academia to showcase a proof-of-concept that is ideal to store network function states. To foster further research in this area, we make our solution open-source.
DEEPFAKE DETECTION USING COMPUTER VISION

These days, a problem of AI-generated face swapping videos are rising rapidly, also known as the DeepFakes. These kinds of videos create threats to privacy of a specific person, peace and security of a country. On occasion perfect DeepFake clips authenticity could be hard to confirm with bare eyes. So scholars need to develop few algorithms to check the authenticity of videos. Here, we present overview of parameters that can tell us about the authenticity of videos. Main motive of this research is to develop a solution or methodology that can decide whether the face in the video was replace using DeepFake technology or not with some probability.
Professionally Important Qualities of the Specialists in Design, Technology, and Service in the Postmodern Society

The purpose of the research is to identify professionally important qualities of the specialists in design, technology, and service, in particular cutters in the postmodern society. At the first stage, a preliminary list of 39 professionally important qualities of the skilled workers in the fashion industry has been formulated by means of theoretical analysis. The list considers the specifics of the cutter`s work at the intersection of three industries – design, technology, and service. At the second stage, a priori ranking of factors has been conducted by interviewing 5 experts. The list, reduced after a priori ranking, has become a basis for surveying 246 respondents from different groups of stakeholders (teachers, students, graduates of vocational schools, employers` representatives) at the third stage. As a result, the lists of input parameters of the model of specialist, which are professionally important qualities of the skilled cutters, are obtained. The lists contain 28 professionally important personal qualities, which are grouped into the following groups: executive and motor manifestations, cognitive processes, memory and thinking, emotions, business qualities, creative features, specific requirements. The obtained results make it possible to develop optimal prognostic models of training the skilled workers in the fashion industry, as well as to conduct a scientifically grounded selection of personnel and career counseling.
The Role of Parents in Increasing Economic Learning Motivation during Pandemic Period for Senior High School Students

This research was conducted based on the results of researchers' observations about the role of parents in increasing children's economic learning motivation during the pandemic for senior high school level students in Bajulan Village, Loceret District, Nganjuk Regency. The purpose of this study was to determine the role of parents in increasing motivation to learn economics during the pandemic for senior high school education level students. The researcher used a qualitative approach with field research methods, especially descriptive types with the research subjects were parents and high school students who took economics subjects. The research was carried out using observation, interview and documentation techniques. The results showed that the role of parents in increasing children's learning motivation were 1) parents as children's facilitators, the form of facilities provided by parents to students were providing Wi-Fi, cellphones, study tables and money allocated for internet quotas, 2) parents as motivators for students, the form of motivation given by parents to students in the form of advice and warnings, and 3) parents as guide, the form of guidance given by parents to students was role model. Based on data analysis, it can be concluded that the role of parents in increasing motivation to learn economics is quite good. It can be seen from observations and interviews that the role of parents has been well realized by parents. Keywords: The Role of Parents, Motivation, Learning Economics, Pandemic Period.
The use of Usability Tests in Website-Based Student Report Value Processing Information Systems

Abstract - The information system for processing studentreport cards based on the website is a system that providesinformation on student activity reports online in the form of grade reports and related student information based on theweb, thus helping speed and quality in delivering information.Problems that occur in processing report cards at SMPN 2 Telagasari are currently still using report cards and inputtingstudent scores is still manual. This study aims to build a valueinformation system that makes it easier to check, record, and report computerized student grade data. In addition, by being web-based, data information can be accessed at any time. This website uses XAMPP as a web server for system design and MySQL as a database. The design of the login menu consisting of admins, teachers, and students has separate access when opening the application so that the security of the program is maintained. Testing this website using black-box testing and Likert scale usability testing to make it easier forauthors to assess whether this online report card processing information system website can facilitate users.
Pengembangan Model Sistem Informasi Manajemen Dokumen Mutu STKIP PGRI Lubuklinggau

This study aims to manage quality document data based on information technology. The stages of this research method include; 1) requirements analysis, 2) design, 3) implementation and unit testing. 4) integration and system test. The approach in this study uses a systems approach with the waterfall model. The steps for developing a software model with a waterfall model are divided into 4 cycles, namely; 1) requirements analysis, 2) design, 3) implementation and unit testing. 4) integration and system test. The results of the study, 1) menu components and SOP submenus are feasible for use, 2) Standard Quality menu and submenu components are feasible for use, 3) quality manual menu and submenu components are feasible for use, 4) menu components and formuruclear submenus are suitable for use. In conclusion, the Quality Document SIM is feasible to use. The Quality Document Database Management Information System can assist LP3MP in managing data online, so that the LP3MP operator team can (input, process and output data) quickly, precisely and accurately.&#x0D; Keywords: SIM, Database, Quality Documents
Pengujian Aplikasi Sistem Informasi Laboratorium Kesehatan Daerah DKI Jakarta Secara Black Box

The use of information technology in supporting work has increased, but it is not uncommon for employees to find problems in their daily work. Problems faced include loss of documents, reporting of results that are not well documented, reporting that is still not up-to-date. The use of software in the Regional Health Laboratory of DKI Jakarta Province also has the possibility of errors. To provide a guarantee that the software used is free from errors, it is necessary to do testing. With testing, it is hoped that the software used will not cause problems and can provide convenience in daily work, can provide speed and stability in completing work, can provide good documentation results and provide the latest data and complete customer data. The test results show that the software used is error-free because the errors found have been corrected.
Analyzing Agricultural Crop Production and their Uncertainty Using Linear Regression and Fuzzy Logic

Our nation India is an agrarian country and its economy based upon agricultural crops production.The share of agriculture in GDP increased to 19.9 percent in 2020-21 and almost fifty percent of total manpower utilized their efforts in this sector.The uncertain whether, climate changes and water storage with traditional farming trends and improper irrigation facilities are directly affect the crop productivity.All such parameters make the environment of uncertainty regarding crops production.On the other hand, accurate and timely predictions of crop production are backbone of the policy maker regarding import-export, demand-supply, marketing, pricing and distributions to balance the socioeconomic frame.The uncertainty and its prediction tend to be complex phenomena.The primary resources of uncertainty are randomness and fuzziness.The randomness deals with general uncertainties while fuzzy logic suitable for the complex phenomena.The statistical regression methodology is used traditionally for such complex predictions.In series of smart notations, the smart forming is necessity of day.Hence there is a requirement to develop qualitative and statistically sound prediction of crop yields with machine learning handling large amount of data.The present works focus on investigation of various used machine learning algorithms for their suitability in crop yields perdition and finally proposed an approach based on linear regression and fuzzy logic in big data computing paradigm for accurate and timely predictions of crop production.
Loan Service Application

In the past few years, much activity has been carried out in developing the Web-Service based, bank Application system. The important work performed by this system is the optimization and enhancement of the existing system. The bank uses a different technology for maintaining the loan of the customer; it uses the MySQL database for storing the data and other specific software for the loan service process. The security of the client’s information during the transaction is of prime importance. The credit risk is analyzed by the system before approval of the loan, apart from these different factors influence the asset structure of the bank. Spring boot is used to develop the loan service application. Postman is used to get the response. The loan servicing application provides the Customer with complete information about the process of loan and its management as mentioned in this paper.
»En mexicansk blondine der sparker røv«

AbstractIn recent decades, the selling and purchasing of illicit drugs has been increasingly mediated by use of communication technologies such as mobile phones and social media apps. While the risk of police intervention has traditionally restricted dealers’ use of advertisements to attract customers, the increasing technologization of retail-level drug markets has opened up new avenues for dealers’ use of proactive marketing. This article contributes to the understanding of current transformations of the retail-level drug market by providing insight into how drug dealers compete for and try to attract customers by use of strategic and targeted advertising. Based on an in-depth analysis of the textual and visual content of 99 illicit »drug commercials« circulated through SMS-based (Short Message Service) drug lines, we demonstrate how drug dealers draw on a number of psychological and cognitive techniques such as repetition, association, humour, hooks, slogans and storytelling, all of which are also found in legal marketing. We conclude by arguing that there is a need for more studies on how »drug commercials« affect drug users’ purchasing practices, including their choice of dealer.
Special Issue on Quantum Computing

The articles in this special section focus on quantum computing. Quantum computers show great potential for enabling efficient solutions to a variety of important problems, where classical computers suffer from excessive time and/or space complexity. This rich set of problems spanning cryptography and optimization, to name a few, goes far beyond efficient simulation of quantum mechanics, which gave rise to this exciting computing discipline originally. Rigorous efforts from industry and academia to pave the way for practical quantum computers at scale have recently rendered proof-of-concept demonstrations featuring tens of qbits. However, significantly larger quantum systems are required to unlock the quantum advantage over classical computers.
Early-Paleozoic geodynamics of the Altai orogen: Constraints from geochemical and zircon U-Pb-Hf isotopic study of paragneissic rocks from the southern Chinese Altai

&amp;lt;p&amp;gt;The high-grade metamorphic complexes in the Chinese Altai were previously regarded as the Precambrian basement and thus important for unravelling tectonic evolution of the Altai orogen. This study reports detailed filed investigation, zircon U-Pb-Hf isotopic and whole-rock geochemical data for the paragneissic rocks from Northern Fuyun Complex (NFC), southern Chinese Altai. Detrital zircons from the paragneisses have a predominant early Paleozoic age population (ca. 535-435 Ma), with minor Neoproterozoic and sparse Mesoproterozoic to Archean ages. The geochemical analyses together with the euhedral shape of the detrital zircons suggest that their sedimentary protoliths mainly came from felsic-intermediate igneous rocks with low maturity. In combination with the cumulative distribution curves of zircon age spectra, the variable zircon &amp;amp;#949;Hf(t) values (-25 to +13), as well as the immature geochemical compositions, we infer that the protoliths were most likely deposited on an active continental margin in the early Paleozoic and sourced mainly from proximal igneous rocks, which are comparable to the Habahe Group. Similar detrital zircon age spectra of early Paleozoic sequences from the Chinese Altai, Mongolia Altai and Khovd Zone support the existence of a giant accretionary wedge developed along the western margin of the Ikh-Mongol Arc system, resulting from continuous northeast-dipping oceanic subduction. This research was financially supported by the National Key R&amp;amp;D Program of China (2017YFC0601205), Hong Kong RGC GRF (17302317 and 17303415) and NSFC Projects (41730213 and 41190075).&amp;lt;/p&amp;gt;
Arduino Based Turkey Egg Incubator With Molen Rotation Method

Today's modern world of hatching many turkey eggs uses various incubators. Arduino-based turkey egg incubator with the molen rotation method uses an Arduino microcontroller that is connected to a DHT11 sensor for turkey egg incubator using the molen rotation method. Temperature and humidity are the main factors to determine the success at hatching of eggs, but also the need for the fertilization process in the eggs to be hatched because fertilization also determines the success rate at hatching eggs. Testing of the incubator is carried out directly from the turkey egg incubator at the temperature in the room and rotates it with the automatic spinning method with an angle of 360 ° every 4 hours. DHT11 can detect temperature and humidity in the incubator room, the optimal temperature for hatching turkey eggs is 37 ° -38 ° C and the optimal humidity is 55-60% RH, and the servo motor is able to move to move the egg rack according to the time specified. The measurement results of the DHT11 sensor readings are as desired with a minimum temperature reading of 37⁰C and a maximum temperature of 39⁰C with humidity that has been set at 55-60% and the molen rotation method runs according to the desired time every 6 hours for 4 times with 360 ⁰ rotation, at days 1-26 turkey eggs hatch with a result of 3: 2 in the sense that 3 successfully hatched and 2 failed to hatch.
Saliency Detection in Weak Light Images via Optimal Feature Selection-Guided Seed Propagation

Salient object detection has a wide range of applications in computer vision tasks. Although tremendous progress has been made in recent decades, the weak light image still poses formidable challenges to current saliency models due to its low illumination and low signal-to-noise ratio properties. Traditional hand-crafted features inevitably encounter great difficulties in handling images with weak light backgrounds, while most of the high-level features are unfavorable to highlight visually salient objects in weak light images. In allusion to these problems, an optimal feature selection-guided saliency seed propagation model is proposed for salient object detection in weak light images. The main idea of this paper is to hierarchically refine the saliency map by learning the optimal saliency seeds in weak light images recursively. Particularly, multiscale superpixel segmentation and entropy-based optimal feature selection are first introduced to suppress the background interference. The initial saliency map is then obtained by the calculation of global contrast and spatial relationship. Moreover, local fitness and global fitness are used to optimize the prediction saliency map. Extensive experiments on six datasets show that our saliency model outperforms 20 state-of-the-art models in terms of popular evaluation criteria.
Using visual-interactive properties to support data quality visual assessment on abstract and timeless data

Visualization systems belong to supervised tools that can make noticeable the intrinsic structures of defects on data. However, despite the significant number of these systems that assist Data Quality Assessment, few provide resources to examine these structures deeply. This situation prevents data quality appraisers from using their contextual knowledge to confirm or refute any data defect. This article explores a visualisation system’s additional features and design characteristics (named V is4DD) that uses visual-interactive properties to support data quality visual assessment on abstract and timeless data (e.g., Customer, Billing). Additionally, we conduct a full review and outline the state-of-art visualization systems related to data quality assessment and fit Vis4DD into this scenario.
Youth’ Educational Problems During Distance Learning

The article is based on the distance learning experience in the second half of the 2019/2020 school year. The author focuses on the students’ perspective and points out that the youth’ educational dilemmas compared to traditional education have not so much changed, but have become acute. In order to understand different student attitudes during distance learning, it is necessary to understand their reasons, therefore, the author analyzes the learning conditions, students’ time management skills and the impact of technology on the health and social development of their students.
Language and Technology: Nigeria’s Digital Discourse Analysis

This paper scrutinizes the language of digital discourse in Nigeria.Digital discourse analysis is concerned with how multimodal, multisemiotic resources are employed to enact identities, activities and ideologies in the digital world, as part of a larger social world.Data for this study comprised of 130 online posts collected from This Day Newspaper and Daily Trust NewspaperFacebook pages.Data was collected between August and September 2020 to extract the political comments of forum members before and after the gubernational election in Edo state.The data were analysed using the sociolinguistic and discourse methods alongside Fairclough's Critical Discourse Analysis (CDA) and Halliday's Systemic Functional Grammar (SFG) as the theoretical models.Findings reveal that digital discourse in Nigeria is distinguished by attributes of two English variants: Nigerian English and internet English.Loan words and culture-specific speech habits are recognized to be in the enclave of Nigerian English whilst shortening devices and instances of verbal language are within the sphere of internet English.
ADAPTIVE SEQUENTIAL SAMPLING FOR POLYNOMIAL CHAOS EXPANSION

The paper presents a sampling strategy created specifically for surrogate modeling via polynomial chaos expansion.The proposed method combines adaptivity of surrogate model and sequential sampling enabling one-by-one extension of an experimental design.The iteration process of sequential sampling selects from a large pool of candidate points by trying to cover the design domain proportionally to their local variance contribution.The criterion for the sample selection balances between exploitation of the surrogate model and exploration of the design domain.The obtained numerical results confirm its superiority over standard non-sequential approaches in terms of surrogate model accuracy and estimation of the output variance.
Implementasi Pisanc Chiper Untuk Autentikasi Voice Chat

In securing voice messages, information sent through the internet network must be authenticated for its authenticity, data content, delivery time, and so on. To prevent data manipulation by irresponsible parties, the creation of a data leak that has a negative impact. The occurrence of data leaks that most users are still not aware of. This can happen due to the lack of security of the message itself which results in problems that arise and also losses by certain authoritarian parties. The solution in securing voice messages using modern cryptographic techniques that have been combined with NRZI encoding and the Feistel network by Pisanc Cipher, is a way to maintain the authenticity and accuracy of data or authentication in voice messages. It is useful to look for the characteristics of good encryption, namely confusion and diffusion. This results in a higher level of security. By using the Pisanc Cipher method to secure voice messages, it can generate security and authenticate data to prevent data leakage. In addition, another benefit of using the Pisanc Cipher method is to maintain the authenticity of voice messages.
THE EFFECT OF COMIC STRIPS ON STUDENTS’ WRITING SKILL IN NARRATIVE TEXT

The objective of this study was to find out the effect of Comic Strips on Students’ Writing Skill in Narrative Text. The writer used experimental research. The population of this study was all the eleventh grade students of SMKS Sinar Husni 1 BM. The sample was two classes, namely XI-AP.1 and XI-AP.2. The researcher used pre-test and post-test as the research instrument. The technique used in collecting the data was quantitative data t-test. The result of the study showed that the application of comic strips had effect in teaching writing of narrative text. The experimental class got a mean post-test score of 72.97. Meanwhile, the control class got a mean post-test score of 68.74. Furthermore, based on the statistical calculation with the significance level of 5% and 1%, it showed that t obs was higher than t table that was 2.00 &lt; 4.07 &gt; 2.66. To conclude, it proved that the alternative hypothesis (H a ) was accepted, which stated that there was a significant effect of Comic Strips on Students’ Writing Skill in Narrative Text at the eleventh grade students of SMKS Sinar Husni 1 BM.