Reviewerly/exHarmony huggingface dataset:
Using Tello EDU quadrocopters to study the section "Basics of algorithmization" of a school informatics course

The article discusses the possibilities of using Tello EDU quadrocopters when studying the section "The basics of algorithmization" of a school informatics course. The substantiation of the choice of quadrocopters as a means for teaching schoolchildren the basics of algorithmization is given. The topics of the lessons are listed, which it is advisable to highlight when studying the above-mentioned section of the informatics course using quadrocopters. The possible stages of the lesson on the topic "Algorithms and executors. A quadrocopter is an executor of algorithms" are described. The description of the stages of the lesson covers: the basic concepts of algorithmization, the structure of a quadrocopter, the features of the Tello application interface for controlling a quadrocopter from a smartphone, safety precautions for controlling a quadrocopter. A line-by-line recording of the test flight of the Tello EDU quadrocopter is presented. Examples of tasks that can be offered to students at each stage of the lesson are considered.
Efficient adaptive feature aggregation network for low-light image enhancement

Existing learning-based methods for low-light image enhancement contain a large number of redundant features, the enhanced images lack detail and have strong noises. Some methods try to combine the pyramid structure to learn features from coarse to fine, but the inconsistency of the pyramid structure leads to luminance, color and texture deviations in the enhanced images. In addition, these methods are usually computationally complex and require high computational resource requirements. In this paper, we propose an efficient adaptive feature aggregation network (EAANet) for low-light image enhancement. Our model adopts a pyramid structure and includes multiple multi-scale feature aggregation block (MFAB) and one adaptive feature aggregation block (AFAB). MFAB is proposed to be embedded into each layer of the pyramid structure to fully extract features and reduce redundant features, while the AFAB is proposed for overcome the inconsistency of the pyramid structure. EAANet is very lightweight, with low device requirements and a quick running time. We conducted an extensive comparison with some state-of-the-art methods in terms of PSNR, SSIM, parameters, computations and running time on LOL and MIT5K datasets, and the experiments show that the proposed method has significant advantages in terms of comprehensive performance. The proposed method reconstructs images with richer color and texture, and the noises is effectively suppressed.
Security and Privacy Issues in IoT Systems Using Blockchain

In the present scenario, IoT (Internet of Things)-driven devices are generating and transmitting huge amounts of data across connected devices or networks that engender the utilisation of Blockchain AU: This term is both capitalized and in lowercase. Please check for consistency. technology to maintain the security of the data that is being processed, managed, transmitted and computed by IoT. It is a well-known fact that IoT has expanded its use, and is nowadays deployed in smart homes, smart cities, and smart meters. Vehicular networks are highly contributing to the advancement of traffic management. However, IoT is being operated with limited resources in case of bandwidth, low storage capacity giving rise to vulnerabilities and brings IoT networks closer to attacks like device spoofing, unauthorised access or false authentication, compromising integrity of data. These attacks may affect data integrity, data privacy, access control, and scalability of the IoT network. Blockchain technology is thereby implemented to secure IoT networks, as in a blockchain network, communication in the network involves the use of public and private keys. The transactions are digitally signed by the user itself, thus protecting data privacy. These transactions are further verified and checked for integrity using hash value of parent blocks and are then confirmed as a legal transaction. Blockchain is a decentralised approach that provides a very strong structure for implementation with diminutive chances of compromisation, thus making it a suitable technology for maintaining security and privacy of IoT to improve the efficiency and reliability of the Smart. IoT devices and its applications in various sectors. In this chapter, the security and privacy concerns that exist in IoT networks and devices, the implementation of Blockchain technology to maaintain the scalability, security, and anonymity of these IoT networks along with various challenges during the adoption of Blockchain are discussed in detail.
ENGLISH LEXICAL BUNDLES IN THE GRADUATE THESES: THE FREQUENCY, STRUCTURE AND DISTRIBUTION

Lexical bundles are one of the important characteristics of academic discourse which tell readers to know whether the writer is professional or novice. Inevitably, studies on lexical bundles in scientific essays are important to do. This study identifies the most frequent, structural characteristics, and the functional categorization of lexical bundles in the Master Theses in Teaching English as a Foreign Language (TEFL), specifically in the Findings and Discussion section. There were 651.083 words from 74 different theses compiled to create the corpus by using Antconc 3.5.8. The results found 117 different lexical bundles and the sequences ‘the result of the’ and ‘on the other hand’ dominate the section. Noun phrase + of structure which covers one third of overall forms in the corpus were the most lexical bundles’ structural types in the findings and discussion section followed by other noun phrase structures (22% out of overall bundles). Functionally, research-oriented bundles (45% of overall bundles) were the most frequent ones followed by text-oriented (40%) and the least frequent bundles were participant-oriented. Reported findings are further discussed with related theories.
RESPONSIBLE LEADERSHIP AND KNOWLEDGE SHARING IN HIGH TECH FIRMS: ASSESSING THE ROLE OF HELPING INITIATIVE AND LEADER’S EMPATHY ON JOB PERFORMANCE

The current study is having the capacity to address the major ongoing issues of the IT sector of Pakistan, as the underlying sector is facing issues regarding the job performance of the employees. Responsible leadership is got importance due to its emergence in this sector. In order to check the impact of responsible leadership and knowledge sharing on job performance, this study has also incorporated the moderating factor of leader empathy and mediating role of helping initiatives at the workplace as well. For the completion of the study, a sample of 273 respondents was drawn out of the population in order to generalize the results to the whole population. These respondents were taken out from the IT sector of Pakistan, SPSS and AMOS were used to analyse the data. Through the help of the analysis, the researcher found out that there is no impact of responsible leadership on job performance and no impact has been observed while studying the knowledge sharing and helping initiatives as well. The rest of the study hypothesis are proved significant. This is also having its practical, theoretical, and policy-making contributions. This study is also significant by its nature as it took the leader empathy as a moderator to check the job performance of employees of the high technological sector of Pakistan.
Analisis Perancangan Dan Implementasi Sistem Informasi Stationary Berbasis Web Pada PT. Indako Trading Coy

PT. Indako Trading Coy is a company engaged in the automotive sector, which in carrying out business processes must use ATK. The company has problems in the procurement process and ATK requests where the process is still done manually and offline. Data collection in this research can be done by using interview techniques, literature study, observation, problem analysis and questionnaires to several users related to the system, then the author designs a Web-based stationary information system. From the results of the implementation of the information system, it can be proven that the procurement of ATK, ATK requests, calculation of ATK stock and forming a report becomes faster and more correct. and can be proven through data obtained from 12 questions conducted through a questionnaire that has 5 answer points to 10 users of the stationary information system. Based on the results of the questionnaire, it can be shown that the success of the system is 91.83% with an average point value of 91.83 points from user statements, it can be concluded that users strongly agree that this stationary information system can help the process of supplying stationery, requesting stationery, calculating stock of stationery and form reports quickly and correctly
End-To-End Neural Network Based Captcha Recognition

Completely Automated Public Turing test to tell Computers and Humans Apart (CAPTCHA) is widely used as a security measure against spam and bot attacks via the Internet. CAPTCHA works by the assumption that it takes human sensory and cognitive skills (that are not present in computers) to successfully identify objects or letters within a noisy graphical environment. In this work, we propose a way to teach machines to recognize CAPTCHAs with deep learning. Our deep learning model uses a Convolutional Neural Network (CNN) encoder to convert CAPTCHA images into vector representations, followed by a Recurrent Neural Network (RNN) decoder to convert vector representations into text. Our model is able to achieve a validation accuracy of 90% after about an hour of training. Code is available at https://github.com/wilbertharriman/tf2-attention-captcha-recognizer.
Examining Diverse Perspectives on edTPA Policy Implementation Across States: The Good, the Bad, and the Ugly

Since 2009, edTPA has been rapidly implemented as a policy tool for strengthening teacher professionalization across the United States.However, its national assimilation has become a target for both praise and critique amongst teacher educators.In this article, we examine such diverse perspectives.Highlighting the voices of administrators, faculty, staff, and teacher candidates (n = 68) across eight teacher preparation programs (TPPs) in two states, we evaluate how they have responded to varied edTPA policy designs and contexts.Results show both policy design and micro-organizational differences influence how these stakeholders have perceived and implemented edTPA--either as a framework for program redesign or compliance.In the process, we contend edTPA has many promises and pitfalls as a scalable policy tool for preparing and assessing future teachers.
Examining Students' Use of, Preferences for, and Learning With E-Textbooks

E-textbooks (e-texts) are becoming more available in higher education as they offer a cost advantage and features that are intended to enhance teaching and learning.Although previous studies speak to student experiences and preferences for e-texts, these studies are often limited in scope.The purpose of this study is to understand student experiences with e-texts and the factors that drive their preferences for textbook medium with a large-scale multi-institution data set.Findings indicate that etext use and preferences differ by a variety of student characteristics, most notably students' class level and major field.In general, students who more frequently used the interactive features of e-texts felt that their use of these tools contributed to their learning and interactions with others.
USE OF ROMAN SCRIPT FOR WRITING URDU LANGUAGE

The purpose of the paper is to highlight the need of evolving a standardized Romanization table, which is used for writing Urdu language on mobile phones, laptops or tabs etc. Use of Urdu language in Roman script is in vogue in our daily life. Internet and mobile users have conveniently adopted Roman script since long for writing Urdu. But it is being used in an irregular and disorganized way. Therefore, an organized and systematic Roman script is imperative to explore ample possibilities of its usage. The current study is qualitative in nature. The Urdu Romanization table is used as a tool in this regard. This tool has been framed by finding out equivalents of Urdu alphabets in the Roman letters so that the sounds and etymology of the traditional Pearsio Arabic script of Urdu from different languages (Sanskrit, Persian, Arabic, and Turkish) could be used and preserved in a proper way.
Model-Based Imitation Learning Using Entropy Regularization of Model and Policy

Approaches based on generative adversarial networks for imitation learning are promising because they are sample efficient in terms of expert demonstrations. However, training a generator requires many interactions with the actual environment because model-free reinforcement learning is adopted to update a policy. To improve the sample efficiency using model-based reinforcement learning, we propose model-based Entropy-Regularized Imitation Learning (MB-ERIL) under the entropy-regularized Markov decision process to reduce the number of interactions with the actual environment. MB-ERIL uses two discriminators. A policy discriminator distinguishes the actions generated by a robot from expert ones, and a model discriminator distinguishes the counterfactual state transitions generated by the model from the actual ones. We derive structured discriminators so that the learning of the policy and the model is efficient. Computer simulations and real robot experiments show that MB-ERIL achieves a competitive performance and significantly improves the sample efficiency compared to baseline methods.
Software Framework Architecture for Programmable Photonic Chips

We introduce a software framework for design and programming of large scale programmable photonic chips. The framework facilitates design, simulation, configuration and measurements of reconfigurable waveguide meshes, managing hundreds of actuators and translate high-level user requirements into driving strategies of the electronic channels.
Economic Analysis Based on Software Cost Estimation Model on the Development of Telemetry Equipment to Support the Irrigation Modernization

Irrigation is one of the main supporters in the application of modern agriculture to ensure the availability of water as an input to agricultural production.Nowadays, irrigation modernization in Indonesia is intended to realize a participatory irrigation management system that is oriented towards fulfilling the level of irrigation services in an effective, efficient and sustainable manner.Information management with the support of equipment based on sensor networks and online databases is absolutely necessary to support the implementation of irrigation modernization.Sensor-based supporting equipment includes the Automatic Water Level Monitoring System (AWLMS) for estimating the flow of open irrigation canals based on the water level in conventional measuring buildings.However, the other important factor is the development of the supporting software and hardware as well as the performance testing of the equipment needed to prepare for the overall implementation in the next five to ten years.The purpose of this research was to conduct a study for the development of telemetry equipment (AWLMS) to support the Implementation of Irrigation Modernization.The method used is Software Cost Model Estimation for the Research and Development (R&D), providing solutions for solving budget estimation problems, especially when developing AWLMS so that budget estimates for equipment are not only physical aspects (hardware and software) of the tool but also cover maintenance and operational costs within a certain period of time.The estimation tools used to estimate is the Function Point method, a function-oriented approach to measuring software functionality to estimate the size of the software and then used for cost estimation and effort estimation needed to develop the system.Retrieval of data used is by measuring the weight of the complexity of the software.Data analysis carried out includes Crude Function Point (CFP) value, Relative Complexity Adjustment Factor (RCAF), Function Point (FP) value, effort value, Kloc (Kilo Lines of Code) value, final effort value, effort value to activity, and distribution to the workforce.The results of the study using the Function Point method obtained that the factor are the complexity of the software, the value of the measured software size, the level of difficulty at the software implementation stage, the estimated time required for software development, and the activities carried out by the workforce for software development.
Review of Image Encryption using Different Techniques

&#x0D; &#x0D; &#x0D; &#x0D; Encryption is one of the measures that ensure the security of images used in various fields such as military understanding, secure clinical imaging offices, Internet and intranet media, electronic banking, and individual association images such as Facebook, WhatsApp, Twitter, etc. On this huge number of images that are sent in a free and open link either during selection or messaging; Then their security ends up being a central need in individual insurance organizations and the arrangement. This article audits and summarizes various image encryption systems to further develop advanced image encryption strategies that operate with expanded flexibility and security.&#x0D; &#x0D; &#x0D; &#x0D; &#x0D;
Time complexity in rejang language stemming

Stemming is the process of separating the root word from an affixed word in a sentence by separating the base word and affixes which can consist of prefixes (prefixes), insertions (infixes), and suffixes (suffixes). Between one language and another, there are differences in the algorithm, especially the stemming process, in morphology. The time complexity of the Rejang algorithm is determined based on the affix group. To find out the time complexity of the stemming algorithm in the Rejang language using the method of making a digital word dictionary of the Rejang language, studying and analyzing the morphology of the Rejang language, making the Rejang language stemming algorithm based on the results of the Rejang language morphology analysis, analyzing the algorithm's performance and calculating the time complexity of the stemming results. The result of this research is to produce an efficient and effective Rejang Language stemming algorithm, where efficiency is indicated by the algorithm's time complexity of O(log n), and the effectiveness is shown from the results of accuracy of 99% against the test of 9000 affixed words. This accuracy value indicates that the over stemming and under stemming processes are 1%. Test results on 15 text documents with an average stemming failure rate of 1%.
A perspective on the Development of Quantum Computers and the Security challenges

The amount of data produced and processed every day is increasing exponentially, and reaching unthinkable levels. This amount of data has to be stored and processed by something. While the conventional computers are reaching their limits in data storage and processing, and this dictates the need for a nano sized transistors.Quantum computers can provide genius solution for that issue. Quantum computing is an emerging interdisciplinary field in information technology. This technology acquired its name, because it is based on quantum physics. In this article we present a new perspectiveonthe progress in the research efforts on quantum computing technology and their likelihood to replace the conventional computers and change the way we manipulate data and information. Also we claim this might be the first article in the region tackling quantum technology.
Verb constructions in West and East Flemish dialects

The article deals with verb construction in West and East Flemish dialects in the 1960s and 1970s. The research was based on the unique dialect collection of the Ghent University Stemmen uit het Verleden (“Voices from the Past”). The main objective of the paper is to find verb constructions that are specific only for the Flemish dialects and to describe them. Based on a number of criteria, 21 recordings were examined. The article gives a detailed analysis of the use of such verb constructions as weten te + inf. (‘to know where something is located’) and durven te + inf. (‘to dare to do something’), gaan + inf. (‘going to’) and the infinitive constructions om/voor/van te + inf. In some cases, the results of the research correspond to the standard of Belgian Dutch, in other cases the constructions appear to be used in a specific way. We conclude that both weten + inf. and durven + inf. are used in the texts without the particle te. Auxiliary verb gaan can never occur as the only verb and is always doubled or even tripled. Besides, voor te + inf. turned out to be the most commonly used construction to express the aim of an action, although om te + inf. also frequently occurs in the function. Van te + inf., however, is used in other functions and never expresses purpose.
Hierarchical Capsule Prediction Network for Marketing Campaigns Effect

Marketing campaigns are a set of strategic activities that can promote a business's goal. The effect prediction for marketing campaigns in a real industrial scenario is very complex and challenging due to the fact that prior knowledge is often learned from observation data, without any intervention for the marketing campaign. Furthermore, each subject is always under the interference of several marketing campaigns simultaneously. Therefore, we cannot easily parse and evaluate the effect of a single marketing campaign. To the best of our knowledge, there are currently no effective methodologies to solve such a problem, i.e., modeling an individual-level prediction task based on a hierarchical structure with multiple intertwined events. In this paper, we provide an in-depth analysis of the underlying parse tree-like structure involved in the effect prediction task and we further establish a Hierarchical Capsule Prediction Network (HapNet) for predicting the effects of marketing campaigns. Extensive results based on both the synthetic data and real data demonstrate the superiority of our model over the state-of-the-art methods and show remarkable practicability in real industrial applications.
Brief history of Image Processing at SPIE Medical Imaging

Image processing has contributed greatly to the clinical applications of medical imaging. Many of the major developments have been stimulated by and reported at the Image Processing (IP) conference held annually as part of the SPIE Medical Imaging meeting. The evolution, focus, and impact of the IP conference is reviewed.
The Effect of Scaffolding Technique in Teaching Writing of Recount Text at SMK Pembangunan Bukittinggi

This research was aimed to know the effect of using scaffolding Technique in teaching writing of recount text at first of SMK Pembangunan. The method used in this research was a quantitative method. To attain the reliability of the test instrument, the researcher used rubric of scoring namely an analytic scoring which was adopted from John Anderson to score the students’ writing on the pre-test and the post-test. To analyze the data the researcher used t-test formula and consulted the result into t-table with the level of significance α = 0.05. The research findings showed that the result of the pre-test and post-test score of the experimental class tₒ (-7,578) was higher than t table (1.717). Hₒ was rejected and Hₐ was accepted. It means that there is a significant effect of using Scaffolding Technique in teaching writing of recount text. Then, the calculation of the post-test both classes: was experimental class and control class, it was obtained that the tₒ (8,307) was higher than the t table () with a degree of freedom (DF) = 22. So, the alternative hypothesis (Hₐ) were accepted, which means that there is a significant difference between using scaffolding technique and conventional. It can be concluded that the hypothesis is accepted. It is proved that using Scaffolding Technique can help the students in improving their ability in writing recount text.