Reviewerly/exHarmony huggingface dataset:
Question Answering and Sentiment Analysis for Bots using Language Models

There are no simple strategies for speedy planning duringtests that offer individuals accurate responses inside asolitary snap. People fall out of good preparation mostlydue to lack of resources such as books (not easily affordableby the underprivileged), even googling doesn't help much asyou don't always get exact answers but a list of differentlinks that MIGHT contain the answer. Both the abovemethods require time and a lot of patience. These learningstrategies do not help aspirants much while preparing forsuch high-level competency exams. This could cause end-moment tension as well as uncertainty right beforeexamination periods! Existing chatbots are for the most partrule-based which limits them to think past what they havebeen prepared with and the generative chatbotsconstructed utilizing neural organizations are notproficiently accomplished utilizing Language Models as theiressential undertaking is to comprehend and decipherhuman dialects which will make our chatbot powerful.
A Survey On The Use of Blockchain For The Internet Of Things

In the age of the next-generation computer, the role of the cloud, the internet, and smart devices will become stronger. These days we all know the word smart well. This word is often used in our daily lives. The Internet of Things (IoT) will generate a variety of information from a variety of resources. It can store big data in the cloud. Fog computing acts as a signal between the cloud and IoT. Fog extensions in this framework apply to the material under IoT. IoT devices are called Fog nodes, which can be accessed anywhere within the network range. A blockchain is a novel way of recording in a secure sequence. Creating a new framework in the development of the Internet ofThings is one of the critical problems of wireless communication. Solving such a problem can leadto continued growth in the use and popularity of IoT. Proposed research creates a framework forproviding a framework for middleware on the internet of smart devices network for using blockchains technology. Our great offering connects new research that integrates blockchains into the Internet of Things and provides a secure Internet connection for smart devices. Blockchain (BC) Internet of Things (IoT) is a new technology that works with low-level, distributed, public, and real-time leaders to maintain transactions between IoT sites. A blockchain is a series of blocks. Each block is linked to its previous blocks. All blocks have cryptographic hash code, previous block hash, and its data. Transactions in BC are the basic components used to transfer data between IoT nodes. IoT nodes are a variety of portable but smart devices with embedded sensors, actuators, systems, and the ability to communicate with other IoT nodes. The role of BC in IoT is to provide a process for processing secure data records using IoT nodes. BC is a protected technology that can be used publicly and openly. IoT requires this type of technology to allow secure communication between IoT nodes in different environments. Events in BC can be tracked and monitored by anyone who is certified to communicate within IoT.
A course on adaptive and autonomous aerospace systems

In this paper we present the one-semester course “Adaptive and Autonomous aerospace Systems” to be taught to master students in aerospace engineering at Politecnico di Milano starting fall 2021. The paper discusses the course motivation and objectives, how it fits within the current study program in aerospace engineering, the course syllabus and organization and the learning assessment and outcomes. While being a fundamental course in character, covering the main theoretical aspects of adaptive and autonomous control, laboratory activities will complement the students learning by showing realistic implementations of the algorithms taught in class.
Forecasting Foreign Tourist Visits to West Nusa Tenggara Using ARIMA Method

West Nusa Tenggara (NTB) is one of the provinces in Indonesia that has its own charm in the world of tourism and is known as a pioneer of halal tourism. In addition to domestic tourists, NTB tourism always has an attraction for foreign tourists. This is evidenced by the increasing number of foreign tourists visiting NTB from year to year before the Covid-19 pandemic. This condition certainly has a positive impact on increasing NTB’s economic growth in the tourism sector and indirectly on the optimization of existing infrastructure. The purpose of the study is to predict the number of foreign tourist visits to NTB so that it can assist the government in making decisions in preparing adequate facilities and infrastructure in the event of a surge in tourist visits. The method used in this study is the Box-Jenkins-ARIMA model. The ARIMA method is based on 3 models that are formed from the results of plot data. The data used in this study is secondary data sourced from the Central Statistics Agency (BPS) of West Nusa Tenggara (NTB), from January 2010 to June 2019. The results show that the ARIMA (4,1,1) model is the most widely used model. This model is suitable for predicting the number of foreign tourists visiting NTB because this model produces the lowest SSE and MSE values compared to other models.
A Foresight Study on Smart Healthcare in Hospitals in Klang, Selangor

Smart healthcare is when the patients are treated with digital medical equipments filled with Internet of Medical Things (IoMT). Recently, worsening trends like slowing rates of improvement can be linked to significant gaps in screening and treatment for NCDs (non-communicable diseases) such as hypertension and diabetes mellitus and the rising rates of key risk factors that can be expected to lead to future increases in NCDs in Malaysia. The research objectives are to identify the influencing factors and the impact and uncertainty by implementing smart healthcare in hospitals in Klang, Selangor for the next 10-15 years. Quantitative method and STEEPV analysis are used to conduct the study. Result shows that technology has the highest number of key drivers. Questionnaires and statistical analysis were used to identify the two top drivers which are quality of health services and government’s responsibility.
Improved Ability To Identify Ideas Of Persuasive Speech Text By Using Media Of Ideas Card In Class Ix Junior High School 2 One Roof Ulu Moro’o School

This study aims to determine the increase in the ability to identify ideas of persuasive speech text of class IX students of SMP Negeri 2 Satu Atap Ulu Moro'o in the 2020/2021 academic year using the Idea Card Learning Media. The subjects of this study were students of class IX SMP Negeri 2 Satu Atap Ulu Moro'o, totaling 20 students. This research was conducted in the odd semester of the 2020/2021 learning year. The method used in this research is a classroom action research design. The action is carried out in 2 cycles, namely Cycle I and Cycle II. Each cycle consists of four stages, namely planning, implementing the action, observing, and reflecting. Data analysis was performed using quantitative and qualitative data analysis techniques. The results of this study indicate an increase in learning outcomes in pre-cycle, Cycle I, and Cycle II. The students' ability in identifying persuasive speech text ideas increased from pre-cycle to cycle I and from cycle I to cycle II. The average value in the pre-cycle was 65.5 then increased to 73 in Cycle I. While the increase in Cycle II, from Cycle I 73 to 87. The completeness achieved from pre-cycle was 55% to 70% in Cycle I. Then from Cycle I with completeness of 70% to 95% in Cycle II. These results strengthen the evidence that the learning outcomes of grade IX students on the material of identifying persuasive speech text ideas can be improved with the use of Idea Card Learning Media. The average value in the pre-cycle was 65.5 then increased to 73 in Cycle I. While the increase in Cycle II, from Cycle I 73 to 87. The completeness achieved from pre-cycle was 55% to 70% in Cycle I. Then from Cycle I with completeness of 70% to 95% in Cycle II. These results strengthen the evidence that the learning outcomes of grade IX students on the material of identifying persuasive speech text ideas can be improved with the use of Idea Card Learning Media. The average value in the pre-cycle was 65.5 then increased to 73 in Cycle I. While the increase in Cycle II, from Cycle I 73 to 87. The completeness achieved from pre-cycle was 55% to 70% in Cycle I. Then from Cycle I with completeness of 70% to 95% in Cycle II. These results strengthen the evidence that the learning outcomes of grade IX students on the material of identifying persuasive speech text ideas can be improved with the use of Idea Card Learning Media.
Face Detection System using Machine Learning

Face detection and picture or video recognition is a popular subject of research on biometricsFace recognition in a real-time setting has an exciting area and a rapidly growing challengeFramework for the use of face recognition application authentication Face is one of the mostimportant biometric features of a human A human can recognize different faces withoutdifficultyFace detection is the process of automatically locating human faces in visual media (digitalimages or video) A face that is detected is reported at a position with an associated size andorientation Once a face is detected, it can be searched for landmarks such as the eyes and noseetc.
INDUSTRY 4.0 AND THE IMPORTANCE OF COMPETENCIES: THE PORTUGUESE CASE

M. Amorim1, M. Ferreira Dias1, M. Santos1, M. Almeida1, C. Pan1, M. Rodrigues1, G. Neto2 1Universidade de Aveiro (PORTUGAL) 2UNINOVE (BRAZIL)
SERVER STATISTIKA JUMLAH JEMAAT GBKP KLASIS MENARA (MEDAN-NAMORAMBE) BERBASIS WEB

The internet can be used to facilitate all work effectively and efficiently. GBKP has data on the number of congregations who worship each week. This data can only be seen through congregational newspapers provided by the church. However, it is not yet possible to see the number of congregants that attend each Runggun in 1 classic. By utilizing the internet, viewing congregation's data will be easier and can be accessed anytime and anywhere. In this research, a server was created to view statistical data regarding the number of class-level congregations. The research purposes were to find out the number of congregants who attend Sunday services.This research, has a proposed design system including dfd, erd, flowchart and database (database). The statistical server design for the GBKP Klasis Menara congregation is expected to facilitate the process of inputting the number of congregations.
Artistic architectonics of human behavioral models in boundary situations and conditions

The article is devoted to one aspect of the problem of reproduction of boundaries and states in a literary text, in particular the study of artistic architecture of human behavioral models in boundary situations and states. On the basis of philosophical and psychological works, the structural elements of such a model were identified. In invariant form, it consists of three main constructs, which are topos of limited rationality, compensatory satisfaction, awareness of potential meaning. Variant forms of architectonics of behavioral models in boundary situations and states may lose their individual components or differ in certain artistic and semantic nuances. The artistic architecture of the behavioral models of the characters in the article is studied on the material of the novels Dan Brown «Angels and Demons» and M. Kidruk «Where there is no God». There are similar approaches of the authors to the structuring of images-characters who are in borderline situations, and in both works revealed both invariant and variant forms of these structures. The invariant behavioral models of the characters in D. Brown's novel «Angels and Demons» are mostly represented by images of lonely, individual figures (Carlo Ventresca, Pope Francis and Maximilian Kohler)
문화다양성 담론의 무용교육에 관한 연구 동향 분석

The purpose of the study was to offer data that could be helpful for classification of research areas and to suggest a direction of researches in the future based on the analysis on trends of studies on cultural diversity in the dance education field. Therefore, the study collected data after selecting ‘Research in Dance Education’, ‘Journal of Dance Education’ as the objects of the analysis. The results of the study were as follows. First, the flow of cultural policies and changes of cultural ecosystem that had a target of cultural diversity should be accompanied with active involvement and a sensitive approach in the dance education. Second, cultural diversity required an approach expanded from education of cultural diversity leaned towards multi-cultural dance education in the practical aspect. Third, it was required to have an initiative of researches on dance studies diffusing dynamic culture mixing of mutual interaction and a viewpoint of interculturalism from an interdisciplinary perspective such as culture, education, management and policies.
Channel Pruning and Quantization-Based Learning for Object Detection with Computing Source Limited Application

Zhao, Fei Liu, Huanyu Hu, Moufa Deng, YingjieWith the rise of convolutional neural network (CNN) in the field of computer vision, more and more practical applications need to deploy CNN on mobile devices. However, due to the large amount of CNN computing operations and the large number of parameters, it is difficult to deploy on ordinary edge devices. The neural network model compression method has become a popular technology to reduce the computational cost and has attracted more and more attention. We specifically design a small target detection network for hardware platforms with limited computing resources, use pruning and quantization methods to compress, and demonstrate in VOC dataset and RSOD dataset on the actual hardware platform. Experiments show that the proposed method can maintain a fairly accurate rate while greatly speeding up the inference speed. The proposed model designed in this paper achieves 76.74% mAP on the VOC dataset, which is 4.76 times faster than the original model.
Urban traffic control systems: architecture, methods and development

With the development of edge computing, internet of things, connected vehicles and big traffic data, future urban traffic signal control will be improved in several aspects. Future urban traffic signal control systems will be a cooperative and network system, which contains abilities of detection data sharing, real-time optimization, synchronized control, comprehensive -monitoring, fault -tolerant and coordination evaluation. With these new features and functions, urban signal control systems will be intelligent and efficient.
Challenges of Adversarial Image Augmentations

Image augmentations applied during training are crucial for the generalization performance of image classifiers. Therefore, a large body of research has focused on finding the optimal augmentation policy for a given task. Yet, RandAugment [2], a simple random augmentation policy, has recently been shown to outperform existing sophisticated policies. Only Adversarial AutoAugment (AdvAA) [11], an approach based on the idea of adversarial training, has shown to be better than RandAugment. In this paper, we show that random augmentations are still competitive compared to an optimal adversarial approach, as well as to simple curricula, and conjecture that the success of AdvAA is due to the stochasticity of the policy controller network, which introduces a mild form of curriculum.
Bi-ISCA: Bidirectional Inter-Sentence Contextual Attention Mechanism for Detecting Sarcasm in User Generated Noisy Short Text.

Many online comments on social media platforms are hateful, humorous, or sarcastic. The sarcastic nature of these comments (especially the short ones) alters their actual implied sentiments, which leads to misinterpretations by the existing sentiment analysis models. A lot of research has already been done to detect sarcasm in the text using user-based, topical, and conversational information but not much work has been done to use inter-sentence contextual information for detecting the same. This paper proposes a new state-of-the-art deep learning architecture that uses a novel Bidirectional Inter-Sentence Contextual Attention mechanism (Bi-ISCA) to capture inter-sentence dependencies for detecting sarcasm in the user-generated short text using only the conversational context. The proposed deep learning model demonstrates the capability to capture explicit, implicit, and contextual incongruous words & phrases responsible for invoking sarcasm. Bi-ISCA generates state-of-the-art results on two widely used benchmark datasets for the sarcasm detection task (Reddit and Twitter). To the best of our knowledge, none of the existing state-of-the-art models use an inter-sentence contextual attention mechanism to detect sarcasm in the user-generated short text using only conversational context.
Automatic Director of Live Sport Based on Motion State

This paper introduces automatic director method of live sport based on motion state. The method is to combine the video frames of multi-channel cameras and use larger and more complete panoramic video for video content analysis and semantic event detection. Then, through the state analysis of the sport, it is determined whether the match at that moment is in Play or Break state. If the match is in Play state, it is adopted to place the motion target in the center of the guide screen. If the game is in the Break state, the sliding window method is adopted to build a HCRF model to mine the potential feature relationship between multimodal semantic clues and semantic events, so as to realize the detection of specific semantic events in sports videos, and to smoothly track the guide screen for extraction. We have done experiments on football match videos, and the results show that our method can generate coherent edited videos in line with audience psychology and achieve good visual effects, which also lays a foundation for the application of artificial intelligence to the automatic director of sports events.
Quantum Qubit Information Conspiracy

In this article I will show quantum qubit information transmission is as elusive as Schrodinger 's cat.Since there are two types of information transmission; namely Wiener and Shannon, I will start from mutual information to show that quantum qubit information-transmission is virtual as mathematics is, which is not existed within our temporal (t > 0) universe.Since quantum information transmission depends on Schrödinger's principle of superposition, which was derived based Schrödinger's equation.From which we see that Schrödinger's equation is a time independent formula only exists within an empty timeless (t = 0) space.From this I will show quantum qubit information is a noiseless channel which does not exist within our universe.Since quantum information is relied on Schrödinger's timeless fundamental principle, I shall show that qubit information is timeless (t = 0) and fictious.In order to further illustrate what empty space paradigm has done to superposition, I will demonstrate what empty space can do to qubit information.Since physically realizable science depends on nature of our temporal (t > 0) universe, from which I will show where Schrödinger's quantum machine and his fundamental principle is situated.Since qubit information has emerged as a worldwide quantum conspiracy, it is hard to predict when this conspiracy will end.Since I am a scientist, I
Foreign Direct Investment, Financial Development and Growth Convergence in ECOWAS

This study examined the tendency of low-income economies in ECOWAS to converge with their high-income neighbors. It extends the frontier of knowledge by ascertaining how quickly financial development (FD) and foreign direct investment (FDI) would stimulate growth, causing low-income ECOWAS member states to catch up. Also, the required threshold for FD and FDI required to facilitate convergence were computed. To achieve the above, fifteen ECOWAS member states were examined within the period 1990 to 2017 using panel data obtained from the World Development Indicators (WDI) 2018 database. The Fully Modified Ordinary Least Square (FMOLS) technique of analysis was utilized and the study found an absence of conditional convergence among ECOWAS member countries. More so, the FD-FDI threshold level required to aid conditional convergence is 22.8% and 3.77% respectively. Therefore, to ensure convergence, the study recommends that low income member states must thrive to attract FDI and seamless credit to the private sector
Application Research of electronic authorized steganographic seal management and control platform based on invisible watermark

From the generation, circulation, writing to filing, identification, utilization and destruction of electronic authorized steganographic seal, there are unsafe factors such as information out of control and information interference in every link. How to implement safe and effective management and control of the whole life cycle of electronic authorized steganographic seal brings new challenges to document management. Therefore, the application method of electronic authorized steganographic seal management and control platform based on invisible watermark is proposed. Through the use of electronic information centralized management and control platform, the problems of electronic authorized steganographic seal multi-point storage, version confusion, filing lag, output recycling management out of control are completely solved, and the accurate management of the whole life cycle of electronic authorized steganographic seal is realized.
Exploring semantic annotations to measure post-editing quality

This chapter analyses whether the quality of a post-edited text can be explained by its conceptual text complexity as well as additional factors such as the semantic category, quality of the corresponding machine-translation output and post-editing effort. It provides a background to the motivation. The chapter discusses and interprets the output of the interpretable model by indicating significant variables and how each variable impacts post-editing quality. It summarizes the work and main findings, followed by the suggestions to further expand it. The source texts, the automatic and post-edited translations and the findings of the analysis are publicly available in the repository. Post-editing is largely acknowledged as a task meant to fix up the output of a machine-translation system, be that carried out by a human or automatically. When human post-editing is used, the whole operation is also referred to as computer-aided human translation as opposed to automatic machine translation.
JUWELS Booster - A Supercomputer for Large-Scale AI Research.

In this article, we present JUWELS Booster, a recently commissioned high-performance computing system at the Julich Supercomputing Center. With its system architecture, most importantly its large number of powerful Graphics Processing Units (GPUs) and its fast interconnect via InfiniBand, it is an ideal machine for large-scale Artificial Intelligence (AI) research and applications. We detail its system architecture, parallel, distributed model training, and benchmarks indicating its outstanding performance. We exemplify its potential for research application by presenting large-scale AI research highlights from various scientific fields that require such a facility.