Reviewerly/exHarmony huggingface dataset:
Blockchain: Social Innovation in Finance & Accounting

At present times, there has been a surge in cryptopians community. Since wealth maximization is the aim of many, the virtual currency has become one of the important investment avenues. Virtual currency like bitcoins have become grill for the gossip mill. Consumer enjoys sovereignty. The present paper provides insight of the behind the scene technology in order to attain better understanding of the securitization prospects pertaining to the same. Mining allures cryptopians to solve proof of work because then only an increment in rewarded in blockchain. Without a doubt as per statistics, the currency has seen an upsurge but vital determinants which may pose a threat needs to be taken care of.
The effect of animated folk-tale video on the students’ ability in writing narrative text

Writing is one of the English skills that is considered difficult for senior high school students, especially SMAN 1 Bangkalan. The researcher tried to find out the significant increase between folklore animation videos and the conventional method from pre-test to post-test using independent t-test. In this quasi-experimental research, the researcher tried to find out how far the effect of animated folklore videos on the ability to write narrative texts of class XI students of SMAN 1 Bangkalan. In conducting the research, the writer used a quasi-experimental study by collecting data through pre-test, double treatment, and post-test. The research topic consisted of 148 students for the population and was divided into XI E (16 males and 13 females) and XI B (16 males and 14 females). The data were statistically calculated using an independent t-test to find differences in performance between students taught using animated folklore videos and students taught using conventional methods. Then it was found that the significance level was 0.01 or 1% and the observed t value was higher than the critical t value (3.1 > 2.756), which means H_1 is accepted and H_0 is rejected. In conclusion, the use of Animated Folklore Video in teaching narrative writing is appropriate, and the researcher suggests that this media be applied in real-world classroom teaching.
PENGARUH KUALITAS LAYANAN, KUALITAS INFORMASI DAN KUALITAS SISTEM APLIKASI GOJEK TERHADAP KEPUASAN KONSUMEN

One of the developments in information system technology that is often used by surrounding communities, especially students, is online services gojek. Although gojek is familiar among the people, especially in the city of Bandung, but services in the field of transportation must still pay attention to the comfort, safety and customer satisfaction. If consumers are satisfied with the services provided by the gojek, the customer will use the gojek service repeatedly (repeat buying) which can then become a loyal customer (loyal customer). A company must pay attention to customer satisfaction with the application services it uses to increase consumer loyalty to the company. To find out the level of customer satisfaction conducted this research using data collection methods is to use a questionnaire and data analysis methods used in this study are Multiple Regression. The variable used in this study is Service quality (X1). Information quality (X2). Quality System (X3). And the dependent variable is User Satisfaction (Y). From the results of data processing, the linear regression equation Y = 8.174 + 0.064X1 + 0.095X2 + 0.218X3. This shows that service quality (X1), information quality (X2), and system quality (X3) affect consumer satisfaction of gojek application users
What confuses BERT? Linguistic Evaluation of Sentiment Analysis on Telecom Customer Opinion

Ever-expanding evaluative texts on online forums have become an important source of sentiment analysis. This paper proposes an aspect-based annotated dataset consisting of telecom reviews on social media. We introduce a category, implicit evaluative texts, impevals for short, to investigate how the deep learning model works on these implicit reviews. We first compare two models, BertSimple and BertImpvl, and find that while both models are competent to learn simple evaluative texts, they are confused when classifying impevals. To investigate the factors underlying the correctness of the model’s predictions, we conduct a series of analyses, including qualitative error analysis and quantitative analysis of linguistic features with logistic regressions. The results show that local features that affect the overall sentential sentiment confuse the model: multiple target entities, transitional words, sarcasm, and rhetorical questions. Crucially, these linguistic features are independent of the model’s confidence measured by the classifier’s softmax probabilities. Interestingly, the sentence complexity indicated by syntax-tree depth is not correlated with the model’s correctness. In sum, this paper sheds light on the characteristics of the modern deep learning model and when it might need more supervision through linguistic evaluations.
Economic Performance and Human Development: A Critical Examination on SAARC Region

The impact of economic performance on human development has become a topic of debate in the recent times. For the past few years the member nations of SAARC region reported to have an unprecedented economic growth. But the human development in this region seems to be abysmal. This paper is aiming to assess the impact of economic performance of SAARC nations on its human development. The study extensively covers the macro economic data and the human development index (HDI) of the SAARC nations from 1990 to 2015. The Random effects (RE) model of panel regression analysis confirmed that GDP and GDP per capita can influence human development of these nations whereas the economic growth do not have any significant impact on human development at 1% and 5% levels of significance. The study is also intended to suggest numerous policy measures for enhancing the human development of this region.
Urgensi Kecerdasan Sosial (Social Intelligent) Bagi Anak Usia Dini

Intelligence must be taught to children as early as possible including social intelligence. The importance of social intelligence teaches the children to provide better opportunities for them in order to exploit the potential that they have. Not a little bright child academically failing in social life and others. That is, there are other factors beyond the intellect that support children's success in life. Intellectual and non-intellectual intelligence equally important role in supporting the success of individuals, non-intellectual ability is crucial for predicting an individual's ability to achieve success in life. Intellectual and non-intellectual ability equally important and mutually supportive, although both have different ways of working. That is expected is not the ability of one of them but the balance between the two. One non-intellectual ability to be trained from an early age is the social intelligence.
IMPROVING BUSINESS PROCESSES BY USING LARAVEL ON THE NEW STUDENT REGISTRATION SYSTEM OF SD MARSUDIRINI GEDANGAN SEMARANG

During the COVID-19 pandemic, the delta variant was pretty crazy with high deaths, high transmission and increasing cases, so the government pulled the emergency brake in the form of emergency PPKM. Emergency PPKM up to PPKM level 1-4 where education is still 100% working from home. So that new student registration activities should be carried out using internet media and web-based applications. For prospective students who will enroll in the school, it can make it easier for them to register online, the registration menu is still in the form of uploading files. One of the PHP frameworks often recommended by PHP programming forums is the Laravel framework. So that the process of developing the registration information system of Marsudirini Elementary School uses the Laravel Framework. Considering the development of the web-based programming world with the emergence of the PHP Framework, the system development method also adapts to the concept of the PHP Framework, where the basis of the PHP Framework is Object Oriented Programming (OOP) PHP. Then the application development for SD Marsudirini Gedangan Semarang school registration system uses the Scrum method. The need for a registration information system consists of 2 business processes, namely the registration process and the admission process for new students, where the entire process will be a reporting to stakeholders. With the use of the Laravel framework, there is an improvement in the process of registering and uploading files, as well as verifying files by the registration administration.
Stimuli-Based Control of Negative Emotions in a Digital Learning Environment

The proposed system for coping negative emotions arising during the learning process is considered as an embedded part of the complex intelligent learning system realized in a digital environment. By applying data-driven procedures on the current and retrospective data the main didactic-based stimuli provoking emotion generation are identified. They are examined as dominant negative emotions in the context of learning. Due to the presence of strong internal and output interconnections between teaching and emotional states, an intelligent decoupling multidimensional control scheme is accepted to overcome the lack of sample effective independent control actions that separately affect the states of learning and emotions. To avoid existing drawbacks in emotion-focused partial control, an approach with integrating emotions with a low-dimensional representation is accepted. Two-stage procedure is proposed to compensate the negative impact of emotions on the learning process.
On the Semantic Dependency of Video Quality Assessment Methods

Blind assessment of video quality is a widely covered topic in computer vision.In this work, we perform an analysis of how much the effectiveness of some of the current No-Reference VQA (NR-VQA) methods varies with respect to specific types of scenes.To this end, we automatically annotated the videos from two video quality datasets with user-generated videos whose content is unknown and then estimated the correlation for the different categories of scenes.The results of the analysis highlight that the prediction errors are not equally distributed among the different categories of scenes and indirectly suggest what next generation NR-VQA methods should take into account and model.
LibGuides: Question Authority: Learning Module

What makes someone an authority on a topic? How do you know when to trust what someone has said or written? In this lesson, students will learn to identify authoritative voices and discover that authority is both constructed and contextual.
More than the sum of its parts: Acquiring semantically complex quantifiers

Author(s): Torma, Cindy; Brody, Gabor; Aravind, Athulya | Abstract: How does the acquisition of semantically complex expressions track the acquisition of their constituent meanings? We investigate this question using the English quantifiers both and either. These quantifiers, while morphologically simplex, are semantically complex, comprising of two pieces: (i) universal/existential quantification and (ii) a size restriction on the quantificational domain to 2. Across two experiments, we compared the acquisition of these quantifiers with expressions mapping conceptual pieces that contribute to their make-up (two, all, any). Our results suggest that having all of the parts is not enough to put together the whole, a finding that could have implications for quantifier learning more broadly.
Meta-learning with an Adaptive Task Scheduler

To benefit the learning of a new task, meta-learning has been proposed to transfer a well-generalized meta-model learned from various meta-training tasks. Existing meta-learning algorithms randomly sample meta-training tasks with a uniform probability, under the assumption that tasks are of equal importance. However, it is likely that tasks are detrimental with noise or imbalanced given a limited number of meta-training tasks. To prevent the meta-model from being corrupted by such detrimental tasks or dominated by tasks in the majority, in this paper, we propose an adaptive task scheduler (ATS) for the meta-training process. In ATS, for the first time, we design a neural scheduler to decide which meta-training tasks to use next by predicting the probability being sampled for each candidate task, and train the scheduler to optimize the generalization capacity of the meta-model to unseen tasks. We identify two meta-model-related factors as the input of the neural scheduler, which characterize the difficulty of a candidate task to the meta-model. Theoretically, we show that a scheduler taking the two factors into account improves the meta-training loss and also the optimization landscape. Under the setting of meta-learning with noise and limited budgets, ATS improves the performance on both miniImageNet and a real-world drug discovery benchmark by up to 13% and 18%, respectively, compared to state-of-the-art task schedulers.
On the Adoption of Empirical Methods and Systematic Reviews in the Brazilian Symposium on Human Factors in Computing Systems

Context: Empirical studies (ES) and systematic reviews (SR) play an essential role in the Human-Computer Interaction (HCI) field as its focus is on evaluating the end-user and usability of software solutions and synthesizing the evidence found by the HCI community. Even though the adoption of empirical evaluation techniques and SR has gained popularity in recent years, the consistent use of a methodology is still maturing. Goal: This study aims to provide a qualitative and quantitative assessment of the current status of ES and SR presented in the research papers published at the proceedings of the Brazilian Symposium on Human Factors in Computing Systems (IHC Symposium). Method: We conduct an empirical study on the papers over the 18 editions in the IHC Symposium to answer four research questions. Our study proposes a protocol to identify and assess ES and SR reported in the papers published at the IHC Symposium. Results: From the sample of 259 studies, we find 131 ES and SR (~51%). We have characterized and categorized the ES into case studies, experiments, and surveys. Further, we found evidence that these studies' quantity and quality have been increased over the IHC Symposium editions, and almost half of these studies give detailed information making possible their replication. Conclusion: We hope that each study's characterization can support the conduction of new ES and SR by the HCI Brazilian community, producing more reliable results and reducing or eliminating biases.
The importance of Discipline in Language Teaching

Like every other classroom, a language classroom must promote moral values and rules to the students. A teacher has to play a very important role in making sure that the students are promoting values and following the rules. By doing so, the teacher can follow various techniques, methods, and ideas to assist them. The keyword used to make sure that values and rules are being followed successfully is “Discipline”. Discipline is the training that makes people more willing to obey or more able to control themselves, often in the form of rules, and punishments if these are broken.
Dual-scan architecture for 2D discrete wavelet transform using modified lifting algorithm

An efficient architecture of discrete wavelet transform (DWT) in two-dimension (2D) is presented in this paper. The proposed structure has a higher hardware efficiency and better performance than t...
Experience Control Analysis of English Reading Software Based on Wireless Binocular Line-of-Sight Sensing

This paper proposes a segmented combined English text measurement method based on two sets of orthogonal linear image sensors and one area image sensor. This method fully combines the advantages of the linear image sensor and the area image sensor in long-distance and short-distance English text measurement and can continuously perform high-precision English text tracking within a large range of viewing distance. Based on this method, a set of segmented English text measurement system is designed and constructed. This paper presents a method for extracting English word boundaries based on semantic segmentation to solve the problem of global positioning and horizontal initialization of English reading text. The semantic segmentation method based on fully convolutional networks (FCN) is analyzed, and the target classification is defined. We used the classic FCN framework and model, fine-tuned with manually annotated data, and achieved good segmentation results. For the definition and extraction of English word boundaries in English text, a piecewise linear model is used to measure the projection confidence of each English word boundary point, and the overall observation of the English word boundary is measured. When the observation confidence is high enough, combined with the English word boundaries marked in the high-precision image, the horizontal positioning is obtained by matching the weights. This paper concludes that English reading software can help learners in English learning to a certain extent, which proves that the English reading software is an effective supplement based on blended learning classrooms. Through the analysis of learners and teaching content, an English teaching model based on English reading software blended learning is designed. Experimental studies have proved that English reading software can help learners learn English, which not only expands their vocabulary but also broadens their horizons.
Extraction of hidden manganese ore information with combined mining of associated and secondary mineral of remote sensing data in northeast Guizhou

The northeast Guizhou manganese ore area is taken as a study area in the paper. The associated pyrite, chlorite and the secondary manganese oxide were as extraction marks of manganese ore by analyzing the characteristics of the manganese-bearing strata, the ore deposits and the ore bodies. Furthermore, the manganese mineralization information of ASTER image is extracted by using the combined data mining method based on principal component analysis, support vector machine and ant colony algorithm, and then the abnormal region of remote sensing image is delineated. Compared with the abnormal region and the proved deposits, there is a better consistency in spatial distribution. The results show that the combined mining method system for hidden manganese ore based on the remote sensing data of associated and secondary minerals proposed in this paper is feasible and practical for delineating the favorable metallogenic area of Datangpo type manganese ore.
Least Square Calibration for Peer Review

Peer review systems such as conference paper review often suffer from the issue of miscalibration. Previous works on peer review calibration usually only use the ordinal information or assume simplistic reviewer scoring functions such as linear functions. In practice, applications like academic conferences often rely on manual methods, such as open discussions, to mitigate miscalibration. It remains an important question to develop algorithms that can handle different types of miscalibrations based on available prior knowledge. In this paper, we propose a flexible framework, namely least square calibration (LSC), for selecting top candidates from peer ratings. Our framework provably performs perfect calibration from noiseless linear scoring functions under mild assumptions, yet also provides competitive calibration results when the scoring function is from broader classes beyond linear functions and with arbitrary noise. On our synthetic dataset, we empirically demonstrate that our algorithm consistently outperforms the baseline which select top papers based on the highest average ratings.
SPEAKING PROBLEMS FACED BY THE SECOND SEMESTER STUDENTS OF ENGLISH EDUCATION STUDY PROGRAM AT UNIVERSITAS MARITIM RAJA ALI HAJI

Purpose the research was to know what are the speaking problems faced by the second-semester of English education study program at Universitas Maritim Raja Ali Haji Tanjungpinang. The researcher used qualitative method to analyze the data with total 22 students as populations. To get the data for this research, the researcher used video of documentations as instrument. The result in this research showed that there some problems in speaking faced by the second-semester student of English education study program at Universitas Maritim Raja Ali Haji, the problems found by the researcher are anxiety, lack of confidence, shyness and afraid to makes mistake. Most dominant problems that the researcher found are anxiety and lack of confidence, many students are feels anxious, nervous and lost their confidence, when they performed speaking in front their friends and lectures.
educational role of ethnodesign graphic function in practical out-of-classroom activities in art institutions of higher education

In the research, the effectiveness of using ethnodesign as an element of educational work in art institutions of higher education is considered. The pedagogical component of graphic ethnodesign is an important component of many teaching methods, both traditional for university education and innovative. The research aims to establish the effectiveness and assessment of the educational role of graphic function of ethnodesign, as well as to determine the feasibility of using didactics outside the classroom practices in art education. The methodology of the study is based on a qualitative approach designed to analyze the results of the research experiment, which provides for comprehensiveness in the study. The method of experiment in the work is basic, also applied methods of interviewing and observation. The hypothesis is that in the development of art specialties curricula should be used extracurricular practical classes, where the educational components of the graphic function of ethnodesign, as they form creative and educated professionals, actualize educational aspects.
APLIKASI SISTEM AKUNTANSI PERSEDIAAN BARANG DAGANG MENGGUNAKAN METODE RATA-RATA BERGERAK ( STUDI KASUS : TOKO INTI MAS MEUBEUL CIREBON )

AbstractToko Inti Mas Meubel Cirebon is a store that sells furniture such as couch, bupet, and others. Toko Inti Mas Meubel Cirebon, the management of transaction data on accounting activity and report making such as reports of sales, purchases, and inventory of merchandise are still manual. Therefore it is necessary to create an application in the form of a special program that can manage well the data purchase, sales, and inventory.The research method used in this study is a descriptive case study method, the steps being taken are observation and interview. Input data required for further analysis and system design using flowchart tools, context diagram, Data Flow Diagrams (DFD) and Entity Relationship Diagram (ERD). The programming language used is Microsoft Visual Basic 6.0, while using Microsoft Access database 2010.The result of this research is a special program application in the form of Accounting Information System which consists of functions to handle the procedures that are procedure of buying, selling and inventory of merchandise. From the results of implementation and testing can be concluded that the application has been made can be applied to Toko Inti Mas Meubel Cirebon.Keywords : Accounting, Inventory, HPP, Moving Average