Reviewerly/exHarmony huggingface dataset:
Theory of Personality Education in 『The Great Learning』: Metapraxis for the Teaching Practicum of Pre-Teachers

본 연구는 수기치인(修己治人)을논하고 있는 **대학**을 통해서 역량 중심의 인성교육의 방향을 모색하고 실천 방안을 모색하고자 하였다. 본 연구의 목적은 ‘성의정심(誠意正心)’ 개념을 올바로 이해하고, 교육의 사태에서 실천되기 위한 이론적 토대를 마련하는 것이다. 이러한 목적에 대하여, 첫째, 수기(修己)의 과정에서‘성의정심(誠意正心)’의 의미는 무엇인가? 둘째, 삼강령과 성의정심의 관련에서 볼 때 **대학**이 인성교육에 주는 시사는 무엇인가? 하는 연구문제를 설정하고, 주희와 다산의 견해를 중심으로 논의하였다. 격물치지론이 팔조목에 대한 인식론적 수준에서의 해명이라면 성의정심론은 삼강령의 신민(新民)과의 관련에서 정(情)의 작용까지 포괄하여, 심(心)의 뜻을 보다 구체적이며 포괄적으로 설명하는 것으로 이해될 수 있다. 성의정심은 마음의 문제와 직접적인 관련을 맺고 있으며, ‘인성(人性)’은 경(敬)에 상응하는 성의와 정심의 교섭 작용을 통해서 이해될 때 비로소 교육적 의의를 가질 수 있다. 인성은 말과 행동으로 외부에 표현되기 이전의 ‘미발(未發)’의 성격을 지니고 있기 때문에 미발시 함양에서 인성의 교육적 측면이 부각된다. 이 글에서, 인성교육의 목적은 자아의 실현으로 설명될 수 있으며 수기(修己)하는 것과 다른 것이 아니라는 점, 그리고 경(敬)을 거점으로 지(知)와 행(行)이 병행될 때에 삶을 통해 만나게 되는 부단한 노력의 산물이라는 점을 시사하는 바이다.This study aims to suggest an orientation for a capacity-based personality education and approach on the basis of the thesis ‘self-cultivating and people-governing’ in The Great Learning. It also examines the concept of a “Sincerity·Upright Mind” and provides a theoretical foundation for its practice. Whereas the chapter ‘investigation of things’ is about the epistemological explanation of the Eight Categories, “Sincerity·Upright Mind” explains the meaning of “Mind” and its actions concerning the everyday matters of New People. “Sincerity·Upright Mind” is more directly related to the problem of mind, and the educational meaning of “personality” could be understood in terms of the interaction between the two processes of “Sincerity” and “Upright Mind” Since personality is relevant to something ‘unexpressed-yet’ either through words or actions, the educational aspect of personality is concerned with a state in which feeling and thinking have not been aroused sufficiently yet in order to be expressed.
JS-son - A Minimal JavaScript BDI Agent Library

There is a multitude of agent-oriented software engineering frame-works available, most of them produced by the academic multi-agent systemscommunity. However, these frameworks often impose program ...
Capacity Limits in Visual Mental Imagery

Previous visual working memory studies have shown that viewers can store the visual properties (typically, colors) of approximately 3-4 items at a time (Brady, Konkle, & Alvarez, 2011; Zhang & Luck, 2008). If viewers are asked to remember the locations of each color (by testing detection of color swaps instead of replacements), this capacity drops to 2-3 items (Alvarez & Thompson, 2009). If the items move, this capacity drops as low as a single stored color-location pairing (Horowitz, Klieger, Fencsik, Yang, Alvarez, & Wolfe, 2007; Saiki, 2003; Saiki & Miyatsuji, 2009). These previous tasks allowed the viewer access to an external display, in which the object and its features were readily available. But how would viewers fare when these objects need to be represented and manipulated endogenously with visual mental imagery? Would the same factors that limit capacity in visual working memory also limit visual mental imagery? To test the capacity limits of observers without online access to an object and its features, participants were asked to store colored circles (1-4 items), and imagine these circles translating or rotating (10, 60, 90, or 110 degrees). We then measured subjective task difficulty and objective change detection performance. Both measures suggest a capacity-limited system. Subjective responses indicated that updating color locations across transformations was more difficult with greater set sizes, for rotation transformations, and across greater distances, and objective performance worsened with an increase in set size. The capacity limiting factors found here in both the subjective difficulty ratings and objective change detection parallel those found in working memory, suggesting that visual working memory and visual mental imagery may share similar capacity constraints.
An investigation of trace metals and oil contamination in Southampton Water sediments: the distribution and influence on organisms

Abstract An investigation was conducted on 21 st April 2012 in Southampton Water sediment, with the aim of detecting the contaminants distribution and the influence on the living organisms. Among the sampling sites, station 3 and 4 are most close to Fawley oil refinery, where contaminants with respect to trace metals, Cu and Zn, and oil are observed with highest concentrations. Metals contained in the sediments are in forms of weakly bounded compounds, such as carbonates and oxides, or strongly bounded complex, including organic metals and sulphide. High values of organic matter concentration in sediment at station 3 agree with the oil release from Fawley. Chlorophyll a concentrations are lowest at station 4, corresponding to the high pollution around.
CreativeAI: Deep learning for graphics SIGGRAPH 2019

In computer graphics, many traditional problems are now better handled by deep-learning based data-driven methods. In applications that operate on regular 2D domains, like image processing and computational photography, deep networks are state-of-the-art, often beating dedicated hand-crafted methods by significant margins. More recently, other domains such as geometry processing, animation, video processing, and physical simulations have benefited from deep learning methods as well, often requiring application-specific learning architectures. The massive volume of research that has emerged in just a few years is often difficult to grasp for researchers new to this area. This course gives an organized overview of core theory, practice, and graphics-related applications of deep learning.
Developing android-based arabic-Clock Angle game for eighth-grade mathematics at MTs YMI Wonopringgo Pekalongan

Abstract The use of media in MTs YMI Wonoringgo Pekalongan is still not optimal, especially in a mathematic lesson. It causes student difficulty in understanding the concepts conveyed by the teacher and low motivation so that students are less able to solve problems in studying. Thus, it is hoped that through Arabic angle o’clock game media, students can more easily understand angle math concepts and mastering Arabic vocabulary of o’clock material. The purpose of this study is to produce an android-based Arabic angle o’clock game media in learning mathematics to eighth grade at MTs YMI Wonopringgo Pekalongan. The research method uses the waterfall model (Analysis, Design, Implementation, Testing, and Maintenance). The research subjects were students of eighth grade at MTs YMI Wonopringgo Pekalongan. The sampling technique uses cluster sampling. The result of this study are Arabic angle o’clock game media with the result of the media expert validation with a percentage of 89%, the results of the material expert validation of were 90%, and student responses 88,14% with very suitable/very feasible criteria. Thus, this product is appropriate to use as mathematics learning media in angle o’clock material and increase student to mastering Arabic vocabulary about o’clock in MTs YMI Wonopringgo Pekalongan.
Information about postponement of the 16<sup>th</sup> International Conference on Webometrics, Informetrics and Scientometrics (WIS) &amp; 21<sup>st</sup> COLLNET Meeting

"Information about postponement of the 16th International Conference on Webometrics, Informetrics and Scientometrics (WIS) & 21st COLLNET Meeting." COLLNET Journal of Scientometrics and Information Management, 14(1), pp. 1–2
Big Book dan Sustained Silent Reading untuk Meningkatkan Kemampuan Membaca Pemahaman

&lt;p&gt;&lt;strong&gt;Abstract:&lt;/strong&gt; This study aims to improve reading comprehension in class II MI Islamiyah Kediri City. This type of research is classroom action research. The study was conducted in two cycles. The results showed an increase in students' understanding of reading. The reading comprehension ability test is carried out in writing in the form of a description item. Minimum Mastery Criteria that has been set is 70. In the pre-cycle success percentage of 55.56%, increased to 72.22% in the first cycle, and increased again to 83.33% in the second cycle. he average class success target that researchers set was 80%. The success in the second cycle has reached 83.33%. This means that the average class success target has been achieved.&lt;/p&gt;&lt;strong&gt;Abstrak:&lt;/strong&gt; Penelitian ini bertujuan untuk meningkatkan membaca pemahaman kelas II MI Islamiyah Kota Kediri. Jenis penelitian yaitu penelitian tindakan kelas. Penelitian dilaksanakan dalam dua siklus. Hasil penelitian menunjukkan adanya peningkatan pemahaman siswa terhadap bacaan. Tes kemampuan membaca pemahaman dilaksanakan secara tertulis dengan bentuk soal uraian. Kriteria Ketuntasan Minimal yang telah ditetapkan yaitu 70. Pada prasiklus presentase keberhasilan sebesar 55,56%, meningkat menjadi 72,22% pada siklus I, dan meningkat lagi menjadi 83,33% pada siklus II. Target keberhasilan rata-rata kelas yang peneliti tetapkan yaitu 80%. Keberhasilan pada siklus II sudah mencapai 83,33%. Hal tersebut berarti target keberhasilan rata-rata kelas telah dicapai.
Hilbert Space Structure Induced by Quantum Probes

It is unrealistic to control all of the degrees of freedom of a high-dimensional quantum system. Here, we consider a scenario where our direct access is restricted to a small subsystem S that is constantly interacting with the rest of the system E. What we investigate is the fundamental structures of the Hilbert space and the algebra of hamiltonians that are caused solely by the restrictedness of the direct control. One key finding is that hamiltonians form a Jordan algebra, and this leads to a significant observation that there is a sharp distinction between the cases of dimHS &ge; 3 and dimHS = 2 in terms of the nature of possible operations in E. Since our analysis is totally free from specific properties of any physical systems, it would form a solid basis for obtaining deeper insights into quantum control related issues, such as controllability and observability.
Comparison analysis and efficient implementation of reconciliation-based RLWE key exchange protocol

Error reconciliation is an important technique for learning with error (LWE) and ring-LWE (RLWE)-based constructions. In this paper, we present a comparison analysis on two error reconciliation-based RLWE key exchange protocols: Ding et al. in 2012 (DING12) and Bos et al. in 2015 (BCNS15). We take them as examples to explain the core idea of error reconciliation, building key exchange over RLWE problem, implementation and real-world performance, and compare them comprehensively. We also analyse a LWE key exchange 'Frodo' that uses an improved error reconciliation mechanism in BCNS15. To the best of our knowledge, our work is the first to present at least 128-bit classic (80-bit quantum) and 256-bit classic (> 200-bit quantum) secure parameter choices for DING12 with efficient portable C/C++ implementations. Benchmark shows that our efficient implementation is 11× faster than BCNS15 and one key exchange execution only costs 0.07 ms on a four-year-old middle range CPU. Error reconciliation is 1.57× faster than BCNS15.
SFC OAM for path consistency

Service Function Chain (SFC) defines an ordered set of servicefunctions (SFs) to be applied to packets and/or frames and/or flowsselected as a result of classification. SFC Operation, Administrationand Maintenance can monitor the continuity of the SFC, i.e., that allelements of the SFC are reachable to each other in the downstreamdirection. But SFC OAM must support verification that the order oftraversing these SFs corresponds to the state defined by the SFCcontrol plane or orchestrator, the metric referred in this document asthe path consistency of the SFC. This document defines a new SFC OAMmethod to support SFC consistency check, i.e. verification that allelements of the given SFC are being traversed in the expected order.
A Recurrent Neural Network Model for solving CCR Model in Data Envelopment Analysis

In this paper, we present a recurrent neural network model for solving CCR Model in Data Envelopment Analysis (DEA). The proposed neural network model is derived from an unconstrained minimization problem. In the theoretical aspect, it is shown that the proposed neural network is stable in the sense of Lyapunov and globally convergent to the optimal solution of CCR model. The proposed model has a single-layer structure. A numerical example shows that the proposed model is effective to solve CCR model in DEA.
Towards an Automatic Mark-up of Rhetorical Structure in Student Essays

This paper presents and discusses a discourse relation annotation scheme for the MUCH corpus of academic writing, based on Rhetorical Structure Theory (RST). The set of proposed relational tags takes into regard both distinctiveness, pedagogical needs and implementability with automatic rules. We show how a pilot grammar with 180 rules can map discourse relations between existing syntactic nodes, exploiting lower-level grammatical/treebank markup and surface clues such as connectives (e.g. conjunctions and prepositions). In an evaluation of a live run on student essays from teacher training courses, the average false positive rate across the most frequent 21 categories was 26.7 % for tags and 17.1 % for relation links. Performance was best for categories with a high percentage of rules using surface connectives and, for in-sentence relations, their corresponding dependency links.
Exploiting Associations between Class Labels in Multi-label Classification

Multi-label classification has many applications in the text categorization, biology and medical diagnosis, in which multiple class labels can be assigned to each training instance simultaneously. As it is often the case that there are relationships between the labels, extracting the existing relationships between the labels and taking advantage of them during the training or prediction phases can bring about significant improvements. In this paper, we have introduced positive, negative and hybrid relationships between the class labels for the first time and we have proposed a method to extract these relations for a multi-label classification task and consequently, to use them in order to improve the predictions made by a multi-label classifier. We have conducted extensive experiments to assess the effectiveness of the proposed method. The obtained results advocate the merits of the proposed method in improving the multi-label classification results.
An Analysis of the Educational Value of PBL Design Workshops

The purpose of this study is to plan and operate design-workshops based on project-based learning (PBL), and examine their educational value for students. The PBL workshop encour- ages direct parti...
AGS: A Precise and Efficient AI Based Hybrid Software Effort Estimation Model

To predict the amount of effort to develop software is a tedious process for software companies. Hence, predicting the software development effort remains a complex issue drawing in extensive research consideration. The success of software development process considerably depends on proper estimation of effort required to develop that software. Effective software effort estimation techniques enable project managers to schedule software life cycle activities properly. The main objective of this paper is to propose a novel approach in which an artificial intelligence (AI)-based technique, called AGS algorithm, is used to determine the software effort estimation. AGS is hybrid method combining three techniques, namely: adaptive neuro fuzzy inference system (ANFIS), genetic algorithm and satin bower bird optimisation (SBO) algorithm. The performance of the proposed method is assessed using a well standard dataset with real-time benchmark with many attributes. The major metrics used in the performance evaluation are correlation coefficient (CC), kilo lines of code (KLoC) and complexity of the software. The experimental result shows that the prediction accuracy of the proposed model is better than the existing algorithmic models.
Robust Opponent Modeling in Real-Time Strategy Games using Bayesian Networks

Opponent modeling is a key challenge in Real-Time Strategy (RTS) games as the environment is adversarial in these games, and the player cannot predict the future actions of her opponent. Additionally, the environment is partially observable due to the fog of war. In this paper, we propose an opponent model which is robust to the observation noise existing due to the fog of war. In order to cope with the uncertainty existing in these games, we design a Bayesian network whose parameters are learned from an unlabeled game-logs dataset; so it does not require a human expert’s knowledge. We evaluate our model on StarCraft which is considered as a unified test-bed in this domain. The model is compared with that proposed by Synnaeve and Bessiere. Experimental results on recorded games of human players show that the proposed model can predict the opponent’s future decisions more effectively. Using this model, it is possible to create an adaptive game intelligence algorithm applicable to RTS games, where the concept of build order (the order of building construction) exists.
PCEP Extension for Stateful Inter-Domain Tunnels

This document proposes to combine a Backward Recursive or Hierarchicalmethod in Stateful PCE with PCInitiate message to setup independentpaths per domain, and combine these different paths together in orderto operate them as end-to-end inter-domain paths without the need ofsignaling session between AS border routers. A new Stitching Label isdefined, new Path Setup Types and a new Association Type areconsidered for that purpose.
Pembuatan Sosial Media Alumni Informatika Universitas Surabaya Berbasis Web

Universitas Surabaya (UBAYA) has many Informatics Engineering alumni from various cities in Indonesia. Informatics Engineering department currenty has no facilities to accomodate the alumni to maintain communication within each others. Moreover, alumni face problem in doing job search because it is difficult to find vacancies suitable to their field. It is also difficult to search freelance software or system development projects.Based on that current problems, the department needs a system as a medium to gather alumni in order to establish communication within each othersand provide features which can help alumni find jobs in accordance with their desired field. The system created is a special social media alumni of Informatics Engineering of Universitas Surabaya by providing job search feature and freelance projects.Features on this system is made based on requirements obtained from analysis of similar system. From the validation of this system, it is concluded that the system is able to meet the requirements of alumni in terms of expanding and strengthen alumni relation within each others, and also facilitates alumni to search jobs and freelance projects.
Semantic Constraint and QoS-Aware Large-Scale Web Service Composition

Service-oriented architecture facilitates the running time of interactions by using business integration on the networks. Currently, web services are considered as the best option to provide Internet services. Due to an increasing number of Web users and the complexity of users’ queries, simple and atomic services are not able to meet the needs of users; and to provide complex services, it requires service composition. Web service composition as an effective approach to the integration of business institutions’ plans has taken significant acceleration. Nowadays, web services are created and updated in a moment. Therefore, in the real world, there are many services which may not have composability according to the conditions and constraints of the user's preferred choice. In the proposed method for automatic service composition, the main requirements of users including available inputs, expected outputs, quality of service, and the priority are initially and explicitly specified by the user and service composition is done with this information. In the proposed approach, due to a large number of services with the same functionality, at first, the candidate services are reduced by the quality of service-based Skyline method, and moreover, by using an algorithm based on graph search, all possible solutions will be produced. Finally, the user’s semantic constraints are applied on service composition, and the best composition is offered according to user’s requests. The result of this study shows that the proposed method is more scalable and efficient, and it offers a better solution by considering the user’s semantic constraints.
Genuine Counterfactual Communication with a Nanophotonic Processor

In counterfactual communication particles and information can travel in opposite directions. With our high-fidelity programmable nanophotonic processor we implement the first trace-free counterfactual protocol without post-selection with a counterfactual violation as low as 2.4%. © 2019 The Author(s)
<i>Epistemic Ecology</i>: An Artwork of Gigapixel Imagery and Ideas

Gigapixel imaging provides a new perspective from which to explore the world from micro to macro. In this work, we created an aesthetically oriented gigapixel image named Epistemic Ecology. It combines ocean creatures with handicrafts and visualized abstract theories, showing a different way to see our world at the visceral level, the behavioral level and the reflective level. It provides a different perspective to extend possibilities of interacting, understanding and using big data.
PEMBUATAN APLIKASI PEMBANTU PEMANDU WISATA BERBASIS ANDROID

“Aplikasi Pembantu Pemandu Wisata” is an application that created to help the work of tour guides in explaining the travel guides. Refer to their difficulty of giving an explanation, especially in crowded conditions, is the main concept of this application. With voice broadcasting feature that is captured from a cell phone guides and sent to all mobile phone participants can relieve guide jobs. The sound will be sent through a wifi connection-direct connected with the guide. In addition to the voice broadcasting feature, also a feature to send notification that serves to remind the participants if the time has come to gather. User interface implemented on the concept of one-handed operation that allows the user to operate easily with one hand. After implementing and testing with survey and observation, the result showed that the tour guide helper application is made to facilitate the tour guides and tour participants.
Waveguide-mediated interaction of artificial atoms in the strong coupling regime, part 2

Waveguide quantum electrodynamics studies photon-mediated interactions of quantum emitters in a one-dimensional radiation channel. Although signatures of such interactions have been observed previously in a variety of physical systems, observation of coherent cooperative dynamics has been obscured by radiative decay of atoms into the waveguide. Employing transmon qubits as artificial atoms coupled to a microwave coplanar waveguide, here we observe dynamical oscillations in an open system where a designated probe qubit interacts with an entangled dark state of an array of qubits which effectively traps radiation as an atomic cavity. The qubit-cavity system is shown to achieve a large cooperativity of C=172 due to collective enhancement of photon-mediated interactions, entering the strong coupling regime. The quantum coherence of the dark state cavity is also explored through its nonlinear response at the single-excitation level. With realistic refinements, this system is suitable for studying the many-body dynamics of large (N>10) quantum spin chains, synthesizing highly non-classical radiation fields on demand, and implementing universal quantum logic operations with high fidelity on information encoded within decoherence-free subspaces.