Reviewerly/exHarmony huggingface dataset:
Why, Who, What, When and How about Explainability in Human-Agent Systems

This paper presents a survey of issues relating to explainability in Human-Agent Systems. We consider fundamental questions about the Why, Who, What, When and How of explainability. First, we define explainability and its relationship to the related terms of interpretability, transparency, explicitness, and faithfulness. These definitions allow us to answer why explainability is needed in the system, whom it is geared to and what explanations can be generated to meet this need. We then consider when the user should be presented with this information. Last, we consider how objective and subjective measures can be used to evaluate the entire system. This last question is the most encompassing as it needs to evaluate all other issues regarding explainability.
Text Document Classification using Convolutional Neural Networks

Documents are one of the most common methods for maintaining data and records. Everyday a lot of documents/files are generated with lot of data for future research purposes or for business analytics. These files/documents must should be stored effectively so that it can be retrieved whenever needed. Organizing large documents can be a tedious task as the internal content of the files are not known. Manually organizing each and every file is not practically possible as it may take hours to categorize a file based on its contents and also the accuracy of classification cannot be guaranteed. In the fields like Library Science a huge amount of files are required to be maintained, which can be helpful in future for business decisions or for research purpose. To make this task easier Text Document Classifier can be used. Text Document Classifier can classify a given document based on the contents inside the document and label the document from the pre-defined classes. Unlike traditional classification Techniques in Machine Learning like Support Vector Machine, term frequency-identification and Naive Bayes Classifier, Neural Networks has better analytical results. Traditional Classification Methods has limitations in terms of effective feature extraction and the dimensionality problem, these limitations can be solved by Convolutional Neural Networks.
The Cost Estimation Model of Real Estate Development in Small-medium Cities in Coastal Province

Zhu, L., 2020. The cost estimation model of real estate development in small-medium cities in coastal province. In: Yang, Y.; Mi, C.; Zhao, L., and Lam, S. (eds.), Global Topics and New Trends in Coastal Research: Port, Coastal and Ocean Engineering. Journal of Coastal Research, Special Issue No. 103, pp. 15–18. Coconut Creek (Florida), ISSN 0749-0208.In this work, an estimation model of real estate development cost for small-medium cities in coastal provinces is proposed. The paper analyzes the problems in the cost management of development project positioning, planning and design, completion settlement. Taking the establishment process of target cost of a real estate enterprise B as an example, this paper investigates the weak links in the implementation process of target cost management. Through the systematic analysis of the basic theory and outstanding problems of the target cost management, this paper provides a reference for the target cost management of the real estate development project.
PENGEMBANGAN KEMAMPUAN MEMBACA PERMULAAN ANAK MELALUI MEDIA MEMBACA CANTOL ROUDHOH USIA 5-6 TAHUN

The purpose of this study was to determine 1) the reading ability of children aged 5-6 years at TKIT Gugus Bintang 165 Tangerang. 2) the learning process uses cantol roudhoh picture card media to develop reading skills of children aged 5-6 years at TKIT Gugus Bintang 165 Tangerang. 3) the process of evaluating the ability to read children aged 5-6 years through the media card cantol roudhoh at TKIT Gugus Bintang 165 Tangerang. This research was conducted in May 2016. With the research location in TKIT Gugus Bintang 165 Tangerang Banten. The subjects of this study were children aged 5-6 years, totaling 15 children. The method used in this study is a qualitative research method. Data collection techniques through observation, field notes, interviews and documentation. Data analysis using data reduction, data presentation and conclusions. Data validation is done by extending the observation, increasing research persistence, triangulation, checking members. Based on data analysis, it states that the development of reading skills of children aged 5-6 years at TKIT Gugus Bintang 165 Tangerang Banten develops well. This can be observed from 8 indicators that researchers use as a reference. Can also be observed in the learning process at school, the development of children's reading skills including: there are children who are able to read their own names completely and correctly, children are able to distinguish vowels and consonants, children are able to connect images with writing, and children able to group images that have the same prefix sound.
Multilingual Word Embeddings Based on Cross-Lingual Annotations

Multilingual word embeddings are the elements of a vector space that represents the meanings of words across different languages. The applications of the multilingual word embeddings are effective ...
Building Cities from Slime Mould, Agents and Quantum Field Theory

Managing the unprecedented growth of cities whilst ensuring that they are sustainable, healthy and equitable places to live, presents significant challenges. Our current thinking conceptualise cities as being driven by processes from the bottom-up, with an emphasis on the role that individual decisions and behaviour play. Multi-agent systems, and agent-based modelling in particular, are ideal frameworks for the analysis of such systems. However, identifying the important drivers within an urban system, translating key behaviours from data into rules, quantifying uncertainty and running models in real time all present significant challenges. We discuss how innovations in a diverse range of fields are influencing empirical agent-based models, and how models designed for the simplest biological systems might transform the ways that we understand and manage real cities.
Designing an Ecological Alexa

A two-day workshop and public symposium with Feminist Internet exploring the possibility of an ecological framework for designing smart objects. A workshop with students from HKU was followed by a public symposium with guest lecturers where the outcomes were shared.
Joint Inference on Bilingual Parse Trees for PP-attachment Disambiguation.

Prepositional Phrase (PP) attachment is a classical problem in NLP for languages like English, which suffer from structural ambiguity. In this work, we solve this problem with the help of another language free from such ambiguities, using the parse tree of the parallel sentence in the other language, and word alignments. We formulate an optimization framework that encourages agreement between the parse trees for two languages, and solve it using a novel Dual Decomposition (DD) based algorithm. Experiments on the English-Hindi language pair show promising improvements over the baseline.
Formulating monitoring strategy based on multiple SLA parameters for multi-tenant service-based systems

The widely used service-based systems (SBSs) are composed of individual services and delivered to multiple tenants. When runtime anomalies occurred, the violation rate of service level agreement (SLA) can increase remarkably. Therefore, service monitoring is crucial for meeting the tenant's quality of service (QoS) requirements. However, monitoring each service constantly wastes resources. In this paper, we propose a monitoring strategy based on multiple SLA parameters for multi-tenant SBSs (MMTS). The criticality of a service is evaluated to the importance of each service in a SBS based on QoS and tenants, tenants are ranked by multiple SLA parameters. Afterwards, monitoring benefit, resource cost, and system overload are weighed to formulate a cost-effective monitoring strategy. Finally, MMTS is evaluated with comprehensive experiments under multiple QoS dimensions and the results have shown that MMTS can outperform other six algorithms in the SLA violation rate and the cost-effectiveness of service monitoring.
Task Coordination in Multiagent Systems

We present an overview of the Task Coordination (TC) problem in multiagent systems and discuss the specific elements that are required to develop a solution to this problem. Task coordination refers to a twofold problem where an exogenously imposed state of affairs should be satisfied by a multiagent system (MAS): (1) the agents need to be assigned tasks to fulfill the given state of affairs (task allocation) and (2) the behavior of agents needs to be monitored to evaluate whether their tasks are fulfilled so that responsibility for dismissed tasks can be determined (task responsibility). This becomes especially challenging when agents are autonomous and may have imperfect information about their environment. Then, the allocation of tasks and responsibilities should regard agents' strategic ability under imperfect information. To date, existing work on the application of strategic reasoning for task allocation assumes perfect information for agents (dismissing imperfect information settings) and allocates tasks to individual agents (dismissing the potential for allocating tasks to agent groups). This calls for TC frameworks able to model task allocation in imperfect information settings and by allowing the allocation of tasks to agent groups. Such a framework should also be able to determine the responsibility of agents for dismissed tasks via a task responsibility mechanism that complements the task allocation procedure. This work discusses various aspects of the TC problem, sets forward a conceptual analysis on expected properties of potential solution concepts, and presents the overview of a suggested approach for developing a TC framework using techniques from formal strategic reasoning.
On Modelling Multi-Agent Path Finding as a Classical Planning Problem.

Multi-Agent Path Finding (MAPF) deals with finding collision-free paths for a set of agents. It is a special case of a planning problem with only two actions – move and wait – and with one major constraint of no collision between the agents. The paper addresses the question of how to model MAPF as a classical sequential planning problem. Several models in the PDDL language are proposed and empirically compared.
MENINGKATAN HASIL BELAJAR SISWA MENULIS LEPAS DENGAN MENGGUNAKAN MEDIA BUKU TULIS HALUS PADA KELAS I SDN 04 PADANG GANTING

Freelance writing is a skill found in four aspects of Indonesian language learning by combining letters by letters, so as to form words and sentences. Freelance writing requires patience and perseverance when doing it. This type of research is (Classrom Action Research). The subjects of this study were students of grade I SDN 04 Padang Ganting, accompanied by one of the senior teachers as peers or supervisor / observer. From the results of preliminary observations, it shows that almost all grade 1 students at SDN 04 Padang Ganting have not been able to write off properly. But after applying the use of examples and media of fine writing as well as providing motivation per cycle, shows that student learning activities which were originally 56.5% in cycle 1 increased to 86.96% in cycle 2. This means that through the use of examples and media of fine writing skills freelance writing for SDN 04 Padang Ganting students experienced a significant increase in the 2018/2019 school year .
Influencia del uso del aula virtual en los procesos pedagógicos de los estudiantes de Zegel Ipae

In order to determine the influence that the use of the virtual classroom has on the pedagogical processes of the students, a quasi-experimental design was applied with a sample of 64 students; which was divided into two groups: 32 for the control group and 32 for the experimental group (those who used a virtual classroom). A posttest (questionnaire) was applied in which the following four pedagogical processes were evaluated: problematization, purpose-organization, motivation-previous knowledge and management-accompaniment; using the Mann-Whitney "U" for results. In order to evaluate the fifth dimension: evaluation; a pre and post knowledge test was applied, using the Student's T test. Reaching the conclusion that the use of virtual classrooms significantly improved the pedagogical processes in the students of the experimental group since they achieved superior results compared to those of the control group that worked with the traditional methodology. Keywords: Virtual classroom; pedagogical processes; motivation; evaluation; learning.
Formation of the psychological readiness of climbers for responsible competitions

This paper looks into the problem of bringing top athletes to the peak of mental readiness for important competitions. The technique of preparation of athletes-climbers for responsible competitions is presented that would facilitate the formation of coping strategies. Among the respondents were members of the national team of Russia in climbing when preparing and competing in European and world championships and cups. The technique presented here allowed us to gradually bring top athletes to optimal mental readiness for important competitions, which ensured their consistent and successful performance in championships and cups of Russia, Europe and the whole of the world.
Awareness of Things

Daily objects can capture rich information about who we are, our choices and what we value through our interactions with them. By taking these daily objects as inspirational material for design, this work introduces a new IoT design concept, the 'Awareness of Things (AoT)'. AoT is about the design of novel inter-object capabilities to construct knowledge of a situation or facts collectively. To position and further develop this concept, this paper presents four on-going projects to explore strategies for IoT designers to capture, identify, and design hidden, implicit or transient data streams from connected daily objects. By presenting these projects in relation, I aim to initiate new discussions on the design of AoT, and what new perspectives can be brought into the design community through a better understanding of data in design.
Investigation Of Source Parameters Of Earthquakes In Northern Sweden

By studying the frequency domain of seismic signals generated by earthquakes, the source parameters can be recovered, i.e., the seismic moment (M0) and the stress drop (Δσ). This method is an advan ...
Effective Author Ranking Using Average of Different h-Index Variants

In the last few years, it has been noticed that h-index and their variants perceived a lot of attention in scientific world due to some valuable properties (easy to compute, relation between quantity of publications and their significance, and so on). Many other metrics have been proposed in order to enhance and conquer the flaw of the original Hirsch proposal. This paper presents a comprehensive analysis of the h-index and their variants. The initial h-index proposal is studied in detail with its advantages and disadvantages. A brief discussion of many of the h-related indices is discussed along with their mathematical workings and primary characteristics. Some of the major works that analyze and compare them are also presented. The logic of h-index and its variant has been implemented and reviewed to find the author ranking. The results obtained from h-index and its variant are compared using different citation databases (DBLP and ACM library databases). The effect of all the indicators and the variation in the result are analyzed. To find the better and fair result for author ranking, we calculate the average of all the indicators. The results show that averaging h-index variants gives a fair author ranking to compare the works of different authors.
An Analysis of High School Teachers’ perception on the Improvement of the Fairness of the Comprehensive School Card Admission System

The purpose of this study is to analyzes how the plans for enhancing the fairness on the comprehensive school card admission system in ‘2022 revised plans of the university admission policies’ have an effect on the strengthening the reliability of the evaluation of the comprehensive school card admission system. In order to answer these research questions, 203 high school teachers in Busan and Gyeongsangnam-do Province were selected as the research subjects. The data were processed by descriptive statistics and analysis of differences between groups. The conclusions of the study are as follows. It was found that the revised plans were a generally suitable measure to enhance fairness in the overall admission system. It was confirmed that the revised plans of high school student record, the methods of improving the transparency of the selection of the university, and the support plans to solve the gap in information between the universities were adequately presented.
Automatic Approval of Online Comments with Multiple-Encoder Networks

In modern online publishing, user comments are an integral part of any media platform. Between the high volume of generated comments and the need for moderation of inappropriate content, human approval becomes a serious bottleneck with negative consequences for both operating cost and user experience. To alleviate this problem we present a text classification model for automatic approval of user comments on text articles. With multiple textual input from both the comment in question and the host article, the model uses a neural network with multiple encoders. Different choices for encoder networks and combination methods for encoder outputs are investigated. The system is evaluated on news articles from a leading Vietnamese online media provider, and is currently on a test run with said newspaper.
Exploring the Islamic model of legitimacy and law compliance as a tool against digital piracy

Digital piracy, concerning the law, is viewed as illegal, though this is not the case, according to the social contexts. A large part of scientific research addressed this issue by studying the human behaviour to explore the motives and determinants of the act of piracy to grapple with through appropriate legal means. The other part of research focused on the reasons that hold people back from observing the law and, hence, fail to comply with its principles.The main premise of these literature is that the legal orientations or domains of legal socialization, such as legitimacy and legal cynicism, influence compliance with the law and criminal offending. Moreover, prior findings indicated that Muslim societies manifest a high level of religious loyalty compared to other world religious groups which is reflexively expressed into their adherence to Shariah rules (Islamic Law).Thereby, can be used as an informal mechanism to fight digital piracy. Nevertheless, there is a dearth of in depth examination of that phenomenon and how it affects positively Muslims legal orientation. This paper addresses these issues from a psychological jurisprudence perspective to elucidate the underlying factors and their through interactions. The results show that the practice of Islam as a life style whereby beliefs, rituals, along with all aspects of real life are enveloped in wholeness as devotions, dynamically fuel the process of loyalty and positively impacts Muslims legal orientation.As such, this paper presents an inclusive religious loyalty-based model of legal socialization, law compliance and self-abiding society for Muslim countries. The model integrates procedural justice theory with the Islamic view of faith (Iman) and loyalty (Al-Walaa) as deduced from Al-Quran and Sunnah to describe all the motivations influencing the Muslims decisions to comply or not with a given law.
Modelling peripheral vision in dynamic situations

Metamers of the ventral stream is a model which tries to describe what information we gather from our visual field. It have previously only been tested on static images. This thesis have continued ...
Research on Variation Law and Prediction Model of Working Viscosity of Salt Resistant Polymer

Abstract Using seepage experiments and theoretical methods, the effects of injection fluid viscosity and injection speed on the change of working viscosity of salt-resistant polymers in porous media with different permeability are studied. And developed a working viscosity prediction model. The results show that as the permeability and viscosity of the injection fluid increase, the working viscosity of the salt-resistant polymer in the porous medium increases; as the injection speed increases, the polymer exhibits viscoelasticity, and the working viscosity decreases first and then increases; under the same conditions, the working viscosity of the salt-resistant polymer is higher than that of the ordinary polymer; in the gray correlation analysis, the correlation coefficient of the injection fluid viscosity and working viscosity is 0.958, the permeability is 0.954, and the injection speed is 0.709; a multivariate statistical regression method is used to give a prediction model for the working viscosity of salt-resistant polymers. The average deviation between the predicted value and the actual calculated value is only 4.40%.
Japanese Predicate Argument Structure Analysis with Pointer Networks

Recently, neural network models with sequence labeling were adopted for Japanese predicate argument structure analysis (PASA). However, the sequence labeling approach can assign the same argument to multiple arguments. Thus, we propose a novel neural PASA method using pointer networks to alleviate the problem of multiple assignments. Experimental results show that our single model can achieve state-of-the-art performance on the NAIST Text Corpus without using syntactic features.
The Awakening of Insects

The Awakening of Insects is the third of the twenty-four solar terms in the traditional Chinese calendars. In China, people believe that during this solar term, thunderstorms will wake up the hibernating insects, indicating warmer weather is coming and chilly winter will soon pass. In 2020, human society faces challenges caused by the COVID-19 virus. I apply the third solar term as the title of my piece because I wish people all around the world could overcome difficulties and challenges together, just like what this title implies.This piece was built around seven chords. I inputted them into Open Music and generated an interpolation patch. Thus, extra interpolated chords with microtones could be calculated among seven initial chords, causing a smoother harmonic progression throughout the entire piece. There are two major motives in the music. Motive A, appearing first in the clarinet part, is a contour-based motive. While specific pitch content was not my primary concern, the ascending motion created by Motive A was what I desired. Motive B, on the other hand, decreases its melodic function. Occurring firstly in string sections, it contains a repeating rhythm. Structurally, this piece is divided into three sections. The first two sections are dominated by different motives, and the last one is a quiet coda where all major musical motions reappear. The first section, following the thunder of an orchestral tutti at the beginning, focuses on melodic motives. Although Motive B occurs in strings, it serves as a background to support the pitch-based motive. By contrast, the second part of the music focuses on a rhythmic motive, which firstly appear on bassoons. Motive A, by reversing its direction and applying with micro-counterpoint, is slowly introduced as a textural background.