Reviewerly/exHarmony huggingface dataset:
AffectON: Incorporating Affect Into Dialog Generation

Due to its expressivity, natural language is paramount for explicit and implicit affective state communication among humans. The same linguistic inquiry (e.g., How are you?) might induce responses with different affects depending on the affective state of the conversational partner(s) and the context of the conversation. Yet, most dialog systems do not consider affect as constitutive aspect of response generation. In this paper, we introduce AffectON, an approach for generating affective responses during inference. For generating language in a targeted affect, our approach leverages a probabilistic language model and an affective space. AffectON is language model agnostic, since it can work with probabilities generated by any language model (e.g., sequence-to-sequence models, neural language models, n-grams). Hence, it can be employed for both affective dialog and affective language generation. We experimented with affective dialog generation and evaluated the generated text objectively and subjectively. For the subjective part of the evaluation, we designed a custom user interface for rating and provided recommendations for the design of such interfaces. The results, both subjective and objective demonstrate that our approach is successful in pulling the generated language toward the targeted affect, with little sacrifice in syntactic coherence.
Quantum Computing and the AEC Industry: Trends, Challenges, Near Term Practical Opportunities and Future Outlook

&lt;p&gt;ABSTRACT&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;Digital computing and allied communication tools have been phenomenal, but they are fast reaching their technical limits and also their capacity to solve certain extant complex problems. Quantum computing has now emerged with a touted potential to deal with aspects of the latter complex problems and also significantly transform extant computing and communication methods. Yet, little studies exist in the AEC industry related literature on quantum computing to boost awareness and also explore its prospective impact on the AEC industry. &lt;/p&gt; &lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;This paper discusses the underpinning basic concepts, technologies and trends in the quantum computing domain to build awareness to boost Architecture, Engineering and Construction (AEC) industry capacity on the topic. The paper dissects the challenges in this novel area. And also examines the near term practical opportunities and potential impact of quantum computing on the AEC industry. The paper concludes with suggestions for practice and future research.&lt;/p&gt;&lt;br&gt;&lt;p&gt;&lt;/p&gt;
Differential Equations E-course in Nomotex DLS

The electronic course “Differential Equations” in the Digital Learning System (DLS) NOMOTEX is developed and used for the mathematical training of future engineers. The artcle presents the content and features of the development of the module, as well as the methodology for conducting classroom studies in a digital educational environment. In the Nomotex DLS, the e-course is presented as a neural network structure of knowledge a tree. The content of the e-course is divided into chapters and paragraphs. Within a paragraph, the content is presented in the form of units of knowledge called quanta. The structure of quanta is described in detail, examples are given. The peculiarity of the described methodology is the preservation of traditional forms of education lectures and seminars with the use of a digital educational environment together. At the same time, in the learning process using the NOMOTEX DLS, traditional classroom lessons change significantly. The features of conducting lectures and seminars, measures for monitoring students’ knowledge are described. The Digital Learning System NOMOTEX allows you to implement various courses, forming the content of lectures and seminars from the existing knowledge bank. E-course, usually a part of the course “Integrals and Differential Equations”, read to future engineers in the spring semester of the first year at the Bauman Moscow State Technical University.
Ising formulations of routing optimization problems

We formulate binary optimization functions for single-vehicle routing, travelling salesperson and collision-free multi-vehicle routing with significant improvements in the number of variables over existing formulations. The provided functions are readily implemented on gate-based quantum computers using variational algorithms and on adiabatic quantum hardware.
Mobile Technologies, Digital Financing and Access to Solar Energy in Uganda

This study sought to examine the factors that contribute to solar energy access in Uganda. The study examined the relationships between Mobile Technologies, Digital Financing, and access to solar energy in Uganda. The researchers used a cross-sectional quantitative survey design to analyse the relationships between the variables. The study was undertaken in Mbale District; owing to the fact that it has the highest population in Eastern Uganda, and one of the highest up take of mobile phone-enabled micro-solar systems (2-20W and less). A population of 50,000 respondents, comprising of active subscribers of MTN Mobile Money and Airtel Money micro-solar systems was studied.  A sample size of 384 respondents was selected using the Krejcie and Morgan (1970) table. A structured questionnaire was administered to respondents who included subscribers of micro-solar systems in the area of study. 270 usable questionnaires were collected from the field giving a response rate of .703 (70%). Data was analysed using Microsoft Excel and SPSS. The coefficients of correlation, regression, and exploratory factor analysis were used to analyse the findings. Data from the study indicated strong positive relationships between Mobile ICTs, Digital Financing, and Access to Solar Energy. Other factors that were found to be significant in accessing solar energy in Mbale- Uganda included occupation, gender, age, and the respondents’ highest level of education. The researchers recommend stronger partnerships between Mobile Network Operators (MNOs), and micro-solar service providers like ReadyPay Solar and M-Kopa, to ensure higher levels of uptake of solar services in the country.
The Efficacy of Using Pair Work Technique in Teaching Conditional Sentences to Indonesian English as Foreign Language (EFL) Students

This research aims at finding out the efficacy of using the pair work technique in teaching grammar especially the conditional sentences to Indonesian English as Foreign Language (EFL) students. The main question of this research: Is the use of the pair work technique effective in teaching conditional sentences to Indonesian EFL students?. The research can be an addition to the persisting teaching grammar of English particularly the conditional sentences through the use of the pair-work technique. This research was conducted at the tenth-grade students at SMA Kristen Mercusuar Kupang, an Indonesian High School. The total number of samples was 25 students. The research used a pre-experimental method with a pre-test and post-test design. The pre-test was given to find out the basic ability of the students in mastering conditional sentences and the post-test given to find out the students’ improvement in mastering conditional sentences after giving the treatment by using of pair work technique. The findings show that using the pair work technique is effective in teaching conditional sentences to Indonesian EFL students. It is supported by the result of the significance test through SPSS 20 program that the P was 0.00. Therefore, it is recommended to use the pair work technique in developing students’ competence in mastering conditional sentences l of Indonesian EFL students.
Organizing thematic search in open archive system

Problems of search organization in open archive system are specified and analyzed. The experience of thematic search in digital resources is generalized. The approaches to organizing open archive search interface oriented toward untrained and trained users are characterized. The pros and cons of single search window are discussed. Vectors to improve search instruments and performance are defined. The rubricator version to support thematic search adaptation is proposed. The choice of UDC as the rubricator foundation is substantiated provided that its correspondence with the State Rubricator of Scitech information and Library Bibliographic Classification is set up. The fragment of the suggested rubricator is given as an example. The main purpose of the analysis is to summarize on the problems related to thematic search and to propose approaches to design optimum close-knit rubricator, and to identify its application possibilities.
Fake face creation using generative adversarial network

Presently Nowadays numerous organizations are putting their cash for ads primarily in type of boards. For announcements numerous organizations are putting cash in models. To limit we can make the phony face utilizing Artificial Intelligence. The Generative Adversarial Network (GAN) yields bleeding edge achieves data driven certifiable generative picture illustrating. GANs can be utilized to create a photograph practical picture from a low measurement arbitrary noise. We reveal and examine its brand name antiquated rarities, propose some switches in both model planning and preparing procedures to address them. Specifically, we update the generator standardization, and regularize generator to connect with unfathomable adornment in the orchestrating from slow codes to pictures. This makes it conceivable to dependably ascribe a made picture to a specific affiliation. We other than envision how well the generator uses its yield objective, and recognize a breaking point issue, prodding us to plan greater models for additional quality improvements. When all is said in done, our improved model renames the top tier in unequivocal picture showing, both with respect to existing course quality estimations similarly as observed picture quality.
A Register-Based Perspective to Suprasegmentals in ELT

The current paper is a systematization of EFL experiences around the teaching of suprasegmentals courses from a register-based perspective. Simply put, the proposal is based on the notion that prosodic elements must be taught from a communicative perspective, where speech acts are adjusted to specific communicative situations considering the formality level required (casual, informal, formal, or fixed). To a large degree, the approach derives from the authors’ empirical evidence gained while teaching suprasegmentals at Universidad Nacional, Costa Rica (UNA) and Universidad de Costa Rica (UCR) over the course of four years.
Estimation of Solar Radiation on Tilted Surface by Using Regression Analysis at Different Locations in India

This study is to find the regression model for estimation of monthly meanhourly global solar radiation on tilted surface at different locations of India.This study is quite precious due to lack of solar radiation data availability onthe tilted surface. Firstly, we have selected some locations having differentclimatic conditions such as New Delhi, Mumbai, Kolkata, Lucknow andJaipur to find the solar radiation on tilted surface using Liu and Jordan model,HDKR model and Perez model. The mean values of these models are plottedalong with the daytime. Based on regression techniques, four empiricalmodels are developed which are tested to compute the solar radiation ontilted surface for three new stations Ahmadabad, Bangalore and Chennai.The estimated solar radiation by these four developed models are comparedwith the estimated values using existing models Lie &amp; Jordan, HDKR andPerez based on mean bias error (MBE) and root mean square error (RMSE).It has been found that developed Model-3 has minimum error and the valuesestimated this model is comparable to existing models. The maximum values of RMSE in Model-3 in tested stations are 2.01% with Liu and Jordan, 2.63%with HDKR and 2.10% with Perez. Similarly, maximum values of MBE are−1.79% with Liu and Jordan, −2.27% with HDKR and −1.89% with Perez.Now the Model-3 finally selected to determine the solar radiation on Bhopal,Bhubneshwar, Dehradun, Guwahati and Trivendrum (Thiruvananthapuram).
Pengembangan Sistem Informasi Monitoring Program Kerja Berbasis Android pada Fakultas Teknik Universitas Nurul Jadid

UNUJA has a faculty where each faculty has a work program. Until now, the Faculties and Work Units still have difficulties in monitoring the report benchmarks in achieving targets when doing work. So that the leadership or the Dean has difficulty in monitoring the results of the completion of the work program. From the existing problems, the researcher took a theme about "Monitoring Information System of Faculty Work Program at Nurul Jadid University, Case Study of the Faculty of Engineering based on Android". The method used by the researcher is the waterfall method. In the process, the steps taken are completed one by one first then proceed to the next stage. The purpose of this study is to produce an android-based work program monitoring application to facilitate the monitoring of work program targets and can be accessed online.
A Semantic Network Analysis of Airline Industry-related Studies Appeared in the Tourism KCI Journal : A Review of Papers Published in 2009-2020 Period

This study analyzed academic theses published from 2009 to 2020 that use the word ‘Airline industry’ as a keyword to observe research trends of the Airline Industry field and it conducted language network analysis among analysis methods utilizing big data to observe implications for future research direction. For data, 1,053 Korean academic essays were analyzed using the database of National Research Foundation of Korea. Through analysis results, the following results were deduced. First, frequency analysis of major keywords and degree centrality with regard to Airline industry related studies theses conducted in 6 year units to look into annual flows of research trends showed that, customer-related studies were mainly conducted in the period 2009 to 2014, and the study of cabin crew was mainly conducted in the period 2014 to 2020, and recently, research on Airline Industry that are changing along with the Fourth Industrial Revolution has mainly being conducted. Second, analysis of networks of all major keywords of Airline industry related theses showed that Airline industry related Korean academic theses were mainly being written on basic elements of Airline Industry(cabin crew, customers, service). Lastly, analysis of the major keyword of “CONCOR” showed that studies of airline marketing, customer service, cabin crew and airline employee, human resource management.
Spatial Language Understanding for Object Search in Partially Observed City-scale Environments

Humans use spatial language to naturally describe object locations and their relations. Interpreting spatial language not only adds a perceptual modality for robots, but also reduces the barrier of interfacing with humans. Previous work primarily considers spatial language as goal specification for instruction following tasks in fully observable domains, often paired with reference paths for reward-based learning. However, spatial language is inherently subjective and potentially ambiguous or misleading. Hence, in this paper, we consider spatial language as a form of stochastic observation. We propose SLOOP (Spatial Language Object-Oriented POMDP), a new framework for partially observable decision making with a probabilistic observation model for spatial language. We apply SLOOP to object search in city-scale environments. To interpret ambiguous, context-dependent prepositions (e.g. front), we design a simple convolutional neural network that predicts the language provider's latent frame of reference (FoR) given the environment context. Search strategies are computed via an online POMDP planner based on Monte Carlo Tree Search. Evaluation based on crowdsourced language data, collected over areas of five cities in OpenStreetMap, shows that our approach achieves faster search and higher success rate compared to baselines, with a wider margin as the spatial language becomes more complex. Finally, we demonstrate the proposed method in AirSim, a realistic simulator where a drone is tasked to find cars in a neighborhood environment.
Writing Polishment with Simile: Task, Dataset and A Neural Approach

A simile is a figure of speech that directly makes a comparison, showing similarities between two different things, e.g. "Reading papers can be dull sometimes,like watching grass grow". Human writers often interpolate appropriate similes into proper locations of the plain text to vivify their writings. However, none of existing work has explored neural simile interpolation, including both locating and generation. In this paper, we propose a new task of Writing Polishment with Simile (WPS) to investigate whether machines are able to polish texts with similes as we human do. Accordingly, we design a two-staged Locate&Gen model based on transformer architecture. Our model firstly locates where the simile interpolation should happen, and then generates a location-specific simile. We also release a large-scale Chinese Simile (CS) dataset containing 5 million similes with context. The experimental results demonstrate the feasibility of WPS task and shed light on the future research directions towards better automatic text polishment.
PENGARUH MODEL INKUIRI TERHADAP HASIL BELAJAR SISWA PADA TEMA BENDA-BENDA DI SEKITAKU DI KELAS V SDN 076713 ZUZUNDRAO

This study aimed to determine the effect of inquiry model on students’ learning outcomes on the theme “Benda-Benda Disekitarku” at grade V SDN 076713 Zuzundrao in the Academic Year 2019/2020. This study used inquiry model with a quantitative research type. The population was all fifth grade students of SDN 076713 Zuzundrao consisting of 3 classes. Then, the sample chosen was class V-A, which consisted of 30 students. The data were collected thorugh a test containing 30 essay questions which were declared valid and reliable. The result of correlation obtained that r count = 0.672 ≥ r table = 0.361. This implied that there was a significant influence between inquiry model and learning outcomes. Furthermore, it was found that the average score of the students’ learning outcomes was 173.7. Then, the result of t test revealed that t count = 4.786 while t table = 1.701. Since t count &gt; t table ,, Ho was rejected. It proved that there was a significant influence of inquiry model on the students’ learning outcomes on the theme of “Benda-Benda Disekitarku” at grade V SDN 076713 Zuzundrao in the Academic Year 2019/2020.
Form variation of pronominal it-clefts in written English

Abstract Clefts are well-studied as a construction which induces emphasis on its clefted referent. However, little is known about the distribution of different stylistic forms of it-cleft variants. We report on a corpus study mining data from Twitter, targeting sentences clefting a pronoun in English. We examine the following features: case and syntactic role of the clefted pronoun, contraction of the copula, choice of complementiser and use of emphasis markers. The results show systematic associations between these features. A further comparison between the Twitter dataset and data from iWeb, a corpus of general-use web language, shows significant differences in levels of emphasis and formality, positioning Twitter language in the middle of the conceptual orality spectrum.
A Study on The Perception and Acceptance of UiTM’s Undergraduates Towards Open and Distance Learning Method in Mandarin Language Teaching and Learning During COVID-19 Movement Control Order Period

The unexpected transformation from traditional face-to-face classes to Open and Distance Learning (ODL) mode, due to the implementation of Movement Control Order (MCO) caused by COVID-19 pandemic, has deeply affect the basic Mandarin learners in higher education institutes. After studying Mandarin level 1 through face-to-face classes for only three weeks, students were forced to adjust and adapt to ODL mode within a short amount of time. This situation would inevitably affect their learning quality and progress during the MCO period. Hence, a study on the students’ perception and acceptance towards ODL under this circumstance is crucial as a pilot test, to establish a better understanding on the possibility of ODL’s sustainability as a necessary component in learning Mandarin henceforward. Such study will also help to apprehend and further satisfy students’ requirement on studying Mandarin through ODL, so that it will become an ideal complement, or even a more preferred main option compared to the conventional teaching activities.
GREY BOX MODELING STRATEGY APPLIED TO A WATER TANK HEAT SYSTEM (WTHS)

This paper presents a Water Tank Heating System (WTHS) with the phenomenal modeling along with a system identification procedure in order to demonstrate a typical methodology of how to estimate the unknown parameters (grey box modeling).Simulations were run in a reservoir with 11 liters of fresh water using a 110V, 1300 W set of resistance, temperature sensor and a fan to create a forced heat convection transference.A set of PRBS was applied and the system response recorded using a PLC.Using MATLAB identification tool box an ARX model with up to 58% fitness was obtained.Non-linear and approached linear models were simulated fitting with 87% for the last compared with the first.The mathematical model developed can be used as a virtual sensor replacing a physical assembly bringing cost reductions and advantages such as time invariance, no maintenance, nor failures, nor electromagnetic interference.
Shaping the Video Conferences of Tomorrow With AI

Before the COVID-19 pandemic, video was already one of the main media used on the internet. During the pandemic, video conferencing services became even more important, coming to be one of the main instruments to enable most social and professional human activities. Given the social distancing policies, people are spending more time using these online services for working, learning, and also for leisure activities. Videoconferencing software became the standard communication for home-office and remote learning. Nevertheless, there are still a lot of issues to be addressed on these platforms, and many different aspects to be reexamined or investigated, such as ethical and user-experience issues, just to name a few. We argue that many of the current state-of-the-art techniques of Artificial Intelligence (AI) may help on enhancing video collabo- ration services, particularly the methods based on Deep Learning such as face and sentiment analyses, and video classification. In this paper, we present a future vision about how AI techniques may contribute to this upcoming videoconferencing-age.