Reviewerly/exHarmony huggingface dataset:
Assessing Social License to Operate from the Public Discourse on Social Media

Organisations are monitoring their Social License to Operate (SLO) with increasing regularity.SLO, the level of support organisations gain from the public, is typically assessed through surveys or focus groups, which require expensive manual efforts and yield quickly-outdated results.In this paper, we present SIRTA (Social Insight via Real-Time Text Analytics), a novel real-time text analytics system for assessing and monitoring organisations' SLO levels by analysing the public discourse from social posts.To assess SLO levels, our insight is to extract and transform peoples' stances towards an organisation into SLO levels.SIRTA achieves this by performing a chain of three text classification tasks, where it identifies task-relevant social posts, discovers key SLO risks discussed in the posts, and infers stances specific to the SLO risks.We leverage recent language understanding techniques (e.g., BERT) for building our classifiers.To monitor SLO levels over time, SIRTA employs quality control mechanisms to reliably identify SLO trends and variations of multiple organisations in a market.These are derived from the smoothed time series of their SLO levels based on exponentially-weighted moving average (EWMA) calculation.Our experimental results show that SIRTA is highly effective in distilling stances from social posts for SLO level assessment, and that the continuous monitoring of SLO levels afforded by SIRTA enables the early detection of critical SLO changes.
Presenting a Method for Improving Echo Hiding

In this article, one of the most important methods of steganography on VoIP called echo hiding is improved. This method has advantages in maintaining the statistical and perceptual characteristics of audio signals as well as security against the sensitivity of human audio system (HAS). However, it has lots of errors in detecting coded and hidden messages, which is detectable using existing steganalysis methods. The percentage of extracting messages in these improved methods of echo hiding is high, but they lower the security of the method. In this article, a method is presented to improve the method of extracting echo hiding, and enhance its security through a combined method based on spread spectrum. To improve the extraction, a wrong hypothesis is corrected and substituted. To improve security using a pseudo-random key generation algorithm, spread spectrum and echo hiding methods are used randomly. To evaluate the proposed extraction, numerous extraction tests are carried out in the normal state and in the event of attacks. A steganalyser has also been used to assess security improvements. The results gained through different experiments on the security of steganography indicate a 3-percent increase in steganalysis errors. The proposed extraction method was modified based on the main method and resulted in more than 10% improvement.
Universal Product Code (Barcode) and Retailing Performance of Supermarkets in Nigeria

This study examined the relationship between Universal Product Code and Retailing Performance of Supermarkets in Nigeria.The specific objectives of the study were to investigate the influence of bar code formatting and bar code encoding on retailing performance.The study adopted the cross sectional research study.The choice of this approach is because it will scientifically examine the situation on ground and empirically analyze it to get result that can be generalized on the accessible population.Based on the research questions, a research questionnaire was designed and one hundred (100) copies were distributed to the sample population which was determined by convenient sampling techniques.After data cleaning, a total of ninety two (92) copies of the distributed questionnaire were retrieved.These copies were analyzed and the hypotheses were tested using the Pearson's Product Moment Correlation Coefficient with the aid of SPSS Version 22.0.The result revealed that; there is a significant relationship between bar code formatting and sales volume, bar code formatting and profitability, bar code encoding and sales volume, bar code encoding and profitability.The study recommends that Supermarkets should endeavour to update regularly, their products barcode fields to ensure that their wide range of products are always captured and enlisted in the field to ease up the purchase and sales activities of the supermarkets; Regular training exercise should be organized to educate the staff of the supermarkets on how to manage the barcode fields and to efficiently handle issues relating to formatting and encoding of the barcode fields.
Research on path planning method of wheeled robot based on fuzzy decision

As an important part of robot technology, path planning technology of mobile robot has been widely applied with the rapid development of intelligent robot. The path planning and obstacle avoidance of mobile robots in unknown environment is a hot and difficult topic. The path planning method studied in this paper firstly uses six ultrasonic sensors to obtain the environment information around the mobile robot, then carries on the fuzzy control to the acceleration of the mobile robot, and proposes the obstacle avoidance strategy based on the improved fuzzy algorithm. and verify the feasibility of the algorithm through Matlab. The algorithm was applied in the robot Challenge Competition of 2019 China Education Robot Competition and achieved good results.
ENGLISH EDUCATION STUDENTS’ CLASSROOM MANAGEMENT PROBLEMS DURING THE SCHOOL PRACTICE PROGRAM

This research aims to answer two research problems, namely: What are the English Language Education Study Program (ELESP) practice teaching students’ classroom management problems during the School Practice Program? Second, what are the solutions to the ELESP practice teaching students’ classroom management problems during the School Practice Program? To answer the research problems above, the researcher used a quantitative method in the form of descriptive research. The instruments were a questionnaire and an interview. Based on the data gathered, most of the practice teaching students gave positive responses on the close-ended statements distributed to the students of the English Language Education Study Program of Sanata Dharma University, Yogyakarta. From the four classifications of classroom management components, the researcher found that management of discipline was the only classification received negative responses. Besides, the open-ended question generated other problems. As a result, a total of eight problems were found based on the questionnaire analysis and were categorized into teacher factors, student factors, and school factors. Furthermore, the major solutions to the problems were setting rules, designing interesting learning activities, approaching directly, and giving caution and rewards. Finally, the researcher also gave recommendations to ELESP lecturers, future practice teaching students, and future researchers.
Age and Culture Effects on the Ability to Decode Affect Bursts.

This paper investigates the ability of adolescents (aged 13–15 years) and young adults (aged 20–26 years) to decode affective bursts culturally situated in a different context (Francophone vs. South Italian). The effects of context show that Italian subjects perform poorly with respect to the Francophone ones revealing a significant native speaker advantage in decoding the selected affective bursts. In addition, adolescents perform better than young adults, particularly in the decoding and intensity ratings of affective bursts of happiness, pain, and pleasure suggesting an effect of age related to language expertise.
Update Query Time Trade-Off for Dynamic Suffix Arrays.

The Suffix Array SA(S) of a string S[1 ... n] is an array containing all the suffixes of S sorted by lexicographic order. The suffix array is one of the most well known indexing data structures, and it functions as a key tool in many string algorithms. In this paper, we present a data structure for maintaining the Suffix Array of a dynamic string. For every $0 \leq \varepsilon \leq 1$, our data structure reports SA[i] in $\tilde{O}(n^{\varepsilon})$ time and handles text modification in $\tilde{O}(n^{1-\varepsilon})$ time. Additionally, our data structure enables the same query time for reporting iSA[i], with iSA being the Inverse Suffix Array of S[1 ... n]. Our data structure can be used to construct sub-linear dynamic variants of static strings algorithms or data structures that are based on the Suffix Array and the Inverse Suffix Array.
Epigenetic and transcriptional changes in the CYP2D6 gene are related to severity of suicide attempt

An approach that extracts global attributes from outdoor images to facilitate geometric layout labeling is investigated in this work. The proposed Global-attributes Assisted Labeling (GAL) system exploits both local features and global attributes. First, by following a classical method, we use local features to provide initial labels for all super-pixels. Then, we develop a set of techniques to extract global attributes from 2D outdoor images. They include sky lines, ground lines, vanishing lines, etc. Finally, we propose the GAL system that integrates global attributes in the conditional random field (CRF) framework to improve initial labels so as to offer a more robust labeling result. The performance of the proposed GAL system is demonstrated and benchmarked with several state-of-the-art algorithms against a popular outdoor scene layout dataset.
A Comprehensive Study on Commercial Applications of Cloud Computing

In the world of information communication technology (ICT) the term Cloud Computing has been the buzz word. Cloud computing is changing its definition the way technocrats are using it according to the environment. Cloud computing as a definition remains very contentious. Definition is stated liable to a particular application with no unanimous definition, making it altogether elusive. In spite of this, it is this technology which is revolutionizing the traditional usage of computer hardware, software, data storage media, processing mechanism with more of benefits to the stake holders. In the past, the use of autonomous computers and the nodes that were interconnected forming the computer networks with shared software resources had minimized the cost on hardware and also on the software to certain extent. Thus evolutionary changes in computing technology over a few decades has brought in the platform and environment changes in machine architecture, operating system, network connectivity and application workload. This has made the commercial use of technology more predominant. Instead of centralized systems, parallel and distributed systems will be more preferred to solve computational problems in the business domain. These hardware are ideal to solve large-scale problems over internet. This computing model is data-intensive and networkcentric. Most of the organizations with ICT used to feel storing of huge data, maintaining, processing of the same and communication through internet for automating the entire process a challenge. In this paper we explore the growth of CC technology over several years. How high performance computing systems and high throughput computing systems enhance computational performance and also how cloud computing technology according to various experts, scientific community and also the service providers is going to be more cost effective through different dimensions of business aspects.
Pelatihan peningkatan kosakata Bahasa Inggris menggunakan YouTube

Youtube is one of the social media that is very developed at this time which has been generally discussed ranging from children to adults. Given the importance of equipping our children about the use of technology that has often been mistaken in its use. Vocabulary enhancement training using YouTube is one of the ways to reduce the negative impact of using social media, especially YouTube. The training was carried out by PGSD lecturers at Makassar State University and several students. This training activity is a training conducted to improve the English vocabulary of the students of the recitation of the mMasjid Babul Ilmi, Parepare Campus, Makassar University.
Digital currency of central banks and monetary policy

The purpose of the study is to determine the potential impact of the introduction of central bank digital currencies (CBDC) on monetary policy. In this paper , we would like to focus on two aspects: the need to save cash in circulation and the potential danger of private digital money for monetary policy. Central bank researchers and independent experts are paying much attention to the CBDC . The reasons are such preconditions as innovations in payment instruments, blockchains, cryptography, globalization in response to the growth of demand for transactions using digital currencies with expected increase in their impact on monetary stability. One of the potential threats to an effective monetary policy is the emergence of private digital money and the risk of failing to choose the right CBDC business model. The development of private digital currencies can significantly reduce income of central banks from seigniorage, weaken the influence of central banks on financial stability and sustainability of monetary policy. Cashless payments, unlike cash, store information about the sender and the recipient, size, date and destination. This information is already a commodity that sellers of financial products and suppliers of goods and services from the real sector are willing to pay for. Cash allows to make payments with greater benefits for the population, taking into account the reliability, comfort and confidentiality. In our opinion, ‘social distancing’ encourages contacts between people through the media channels, with dissemination of knowledge among the general public about digitalisation and convince indiviuals to agree on disclosure of personal data. Central banks are called upon to further develop the money supply management mechanism, to ensure the coexistence of non-cash and cash in their jurisdictions.
Computer-aided Diagnosis System for Abnormalities Classification in Gastric Endoscopy Images using Machine Learning

Gastric cancer is the most common cancer and has been the number one incidence since 1999 in Korea(as of 2016). Gastrointestinal symptoms and functional gastrointestinal disorders comprise a large proportion of primary care and gastroenterology practice. We propose a Computer-aided Diagnosis (CADx) system that analyzing the traditional gastroscope images and help the medical experts improve the accuracy of medical diagnosis. The data set we used consists of 400 normal images and 285 abnormal images from 103 volunteers. We also extracted four color features and two texture features from each image. The Least Square Support Vector Machine(LS-SVM) classifier was used for normal and abnormal classification. LS-SVM finds the solution by solving a set of linear equations instead of a convex quadratic programming problem for classical SVMs. The AUC value was 0.85, which is 0.02 higher than that of normal SVM.
Haze removal network using unified function for image dehazing

The atmospheric scattering model includes two crucial parameters for dehazing: global atmospheric light and the transmission map. Most previous dehazing methods need to obtain these two parameters separately, which makes dehazing a difficult and ill-posed problem. Here, a new unified function that includes both the crucial parameters for haze removal is proposed. Then the haze removal network, which now needs to learn only one function during training, is proposed. Image dehazing can be performed as a simple addition of the haze removal function with the input hazy image. Experimental results show that the proposed method gives better subjective results for indoor and outdoor synthesized images as well as natural images compared to previous state-of-the-art methods. Quantitative evaluation results show that the proposed haze removal network gives improved objective results compared with the same previous methods.
Effects of English learning by 3rd graders using EBSe broadcasting programs. Programs

This study aimed to investigate the effects of English learning by 3rd graders using EBSe Broadcasting Programs. The survey consisted of the following three questions: 1) How does English using EBSe broadcasting programs affect learner s vocabulary? 2) How does learning English using EBSe broadcasting programs affect the affective domain of learners?; 3) What is the learner’s perception of learning English using the EBSe broadcast programs. Data was collected through pre-questionnaires and pre-vocabulary tests to understand level of English and the affective domain such as interest, confidence and participation. In addition, a post-questionnaire and vocabulary test were conducted to investigate and learning effects of EBSe broadcasting programs. The analysis of the data collected resulted in the following conclusions: English learning using the EBSe broadcasting program was effective in improving the English proficiency of 3rd graders. Additionally, EBSe broadcasting programs can have a positive effect on the learner s affective domain but the degree depends on the learner s level. Furthermore, this study found that the preference for each EBSe broadcasting program was different according to the level of learners. Through this study, we found that English learning using EBSe broadcasting programs is effective in learning ability and affective domain.
What Is An Example Of A Keyword

When it comes to the idea of keywords, anything you can type can be a keyword (otherwise known as a search query), as long as there are lots of people ...
Suoidne-varra-bleahkka-mála-bihkka-senet-dielku ‘hay-blood-ink-paint-tar-mustard-stain’ – Should compounds be lexicalized in NLP?

Lexicalizing compounds, in addition to treating them dynamically, is a key element in giving us idiomatic translations and detecting compound errors. We present and evaluate an e-dictionary (NDS) and a grammar checker (GramDivvun) for North Sámi. We achieve a coverage of 98% for NDS-queries and of 96% for compound error detection in GramDivvun.
Web-based 3D HSV color data gathering and visualization for applied cinemetrics: A case study in Hayao Miyazaki’s animated motion pictures

The tasks of judgment and criticism in cinema have been based predominantly on interpretive methods to establish their disciplinary mechanisms. Nowadays, the web’s possibilities for supporting artificial intelligence, mathematics, and statistical computing techniques applied to the communication and humanities phenomena, such as the visual narrative arts, allows the development of new tools that aim at exploring the use of quantitative instrumentation for film analysis. Color grouping via K-Means Clustering and JavaScript based graphic visualization and data management, are procedures that web-based services can exploit for a quantitative film analysis. The methods discussed in this paper are examined under Miyazaki’s animated films and shows a measurable relationship between the director’s creative process and the perceptual dominant colors in the films. Furthermore, our proposed solution applies the combination and the exploration of such technologies for a web-based tool that helps researchers, scholars, filmmakers, and designers to gather color data from video media and to visualize them according to a 3D HSV/HSB graphical model.
Using Isotropic and Anisotropic Models to Determine Solar Module Tilt to Maximize Incident Energy and PV Electricity Output on the Alaska North Slope

Abstract The Alaska North Slope is a pristine and fragile arctic environment that needs protection. The present article illustrates the application of isotropic and anisotropic models for predicting solar radiation on photovoltaic (PV) modules (and, hence, potential electricity output) for different angles of inclination (or tilt) in Utqiagvik Alaska. The anisotropic model is shown to provide higher, albeit more accurate, predictions of solar radiation since it includes all of the measures used in the isotropic model, but provides a more comprehensive representation of the diffuse component. Specifically, the anisotropic model includes not only the isotropic part of diffuse radiation, but also the circumsolar and horizon brightening parts. A PV array angle of tilt of 55 degrees is shown to provide the greatest total amount of incident solar radiation for the entire year, based on both the isotropic and anisotropic models. However, both models also indicate that angles of tilt that are steeper than 55 degrees result in slightly greater amounts of incident solar radiation during the late-winter, early-spring, and mid-fall months; while angles of tilt that are flatter than 55 degrees result in slightly greater amounts of incident solar radiation during the summer and early-fall months. It is shown that a PV system with a moderately sized array, tilted at the fixed angle of 55 degrees, could provide more than 50 percent of the total annual electricity needs for homes in Utqiagvik Alaska.
The Transference Architecture for Automatic Post-Editing

In automatic post-editing (APE) it makes sense to condition post-editing (pe) decisions on both the source (src) and the machine translated text (mt) as input.This has led to multi-encoder based neural APE approaches.A research challenge now is the search for architectures that best support the capture, preparation and provision of src and mt information and its integration with pe decisions.In this paper we present an efficient multi-encoder based APE model, called transference.Unlike previous approaches, it (i) uses a transformer encoder block for src, (ii) followed by a decoder block, but without masking for self-attention on mt, which effectively acts as second encoder combining src → mt, and (iii) feeds this representation into a final decoder block generating pe.Our model outperforms the best performing systems by 1 BLEU point on the WMT 2016, 2017, and 2018 English-German APE shared tasks (PBSMT and NMT).Furthermore, the results of our model on the WMT 2019 APE task using NMT data shows performance at the level of the state-of-the-art.The inference time of our model is similar to the vanilla transformer-based NMT system although our model deals with two separate encoders.We further investigate the importance of our newly introduced second encoder and find that decreasing the number of layers hurts performance, while reducing the number of layers of the decoder does not matter much.
The Ceremonial Canopied Chariot of Tutankhamun (JE61990 and JE60705): A Tentative Virtual Reconstruction

The Japan International Cooperation Agency (JICA) and Egypt’s Ministry of Tourism and Antiquities have been collaborating on the Grand Egyptian Museum Joint Conservation Project (GEM-JC), and since 2016 this team carried out the scientific research of the ‘second state chariot’ (JE61990). In the course of the detailed  condition survey of the chariot, localized surface damage from where material had been anciently torn away from the corners and near the rear of the exterior sides of the chariot’s body was observed. Carter’s assistant Arthur Mace had noted this and assumed some metal elements had been wrenched off from these locations. Recently, the late Edwin C. Brock concluded that these remnants were fitting places of the four support poles of the canopy frame hitherto dubbed by Carter as Tutankhamun’s ‘travelling canopy’ (JE60705). Detailed measurements of both the chariot and canopy have now proved Brock’s hypothesis that the two items indeed made a canopied chariot. This paper also presents new discoveries and offers a tentative virtual reconstruction as support for the inclusion of virtual museum displays in galleries.