Reviewerly/exHarmony huggingface dataset:
Exceptional Model Mining: a logistic regression model on cancer registry data.

Finding interesting patterns in a cancer registry data can provide oncologists and medical experts with a new perspective to improve healthcare for cancer patients. In this paper, we apply a supervised local pattern mining called Exceptional Model Mining. Its aim is to find subgroups in the data that somehow behave differently from the norm. This behaviour is captured by a model and the interestingness of a subgroup is assessed according to a quality measure. In particular, we develop a logistic regression model and propose a few different quality measures based on statistical tests and probability distributions. Additionally, we provide a statistical test, the permutation test, to assess the interestingness of a subgroup from a statistical point of view. The results of the experiments show that the proposed model can retrieve some subgroups that may be of interest for doctors. Moreover, the results of the permutation test show that the most interesting subgroups are also statistically significant.
Future of Three-Dimensional Internet Technology for Cognitive Information Communication

The internet that we see today has progressed from read only web to the read write web to the recited write implement web which has taken the Global Web to a new dimension that we know as3-Dimensional internet. It is developing to become the virtual environment or cyber space facilitating communication, entertainment, and business on a global level. In this paper we are willing to implement 3-Dimension internet against the 2D technology and the present 3-Dimension methodologies. Our goal in this paper is getting a glance of the next generation internet and its overwhelming power. We will be discussing the intervening steps that lead to the evolution of this new virtual world, architecture, evolving technologies from it that have taken interactivity to an advanced levelled step. This paper presents new research directing the future of both for 3-Dimension internet and cognitive information communication. It reviews definitions and basic concepts and gives some “existent” view that helps to understand current projects and international trends.
How can the open-world environments produced by Tag of Joy for museum applications be optimized to maximize their efficiency on low-end devices?

This research paper is about optimizing open-world museum applications and maximizing their efficiency on low-end devices. The paper is commissioned by a gaming company Tag of Joy, to streamline the onboarding of junior artists by creating a game optimization guide that contains information about the essential optimization methods and the tools that should be used when optimizing. This paper dives into the theoretical part of optimization by gathering information about the methods used within the industry and then testing those methods to gather information about their viability on low-end devices. It also dives into possibilities of optimization by using free or inexpensive tools. The results demonstrate that level of detail has the highest effect on reducing triangle count, while the GPU instancing and light baking show the most significant reduction in draw calls. The findings also indicate that the highest negative impact on the game 's performance is caused by having unoptimized high-poly poly models. When optimizing the game, all the methods mentioned in this research paper should be used in unison, with the exception of Occlusion Culling. Occlusion Culling is situational and generally shouldn 't be used when optimizing open-world games.
Statistical Learning of Non-word Sequences among Typical Adults

Language is one of the many abilities that are unique to humankind. The link between language and cognition has been studied upon extensively through theories, models and experimental investigations. The interplay between the components of language and cognition has a vital role in processes such as language acquisition, word learning, sentence processing, etc. The implicit process involved in extracting the sequential patterns from input is known as statistical learning. Studies have explored statistical learning from developmental and modality perspectives. The current study aimed to investigate the statistical learning of non-word sequences among 30 (15 males and 15 females) typical adults with the mean age of 21.64 years. The stimuli consisted of 40 non-words formed through syllable transposition and syllable substitution with different syllable lengths. The study was carried out in two phases, namely the training and testing phases. Results revealed a significant effect of training and varying syllable lengths in task performance.  Keywords : Cognition; language, learning, non-words, statistical learning Cite this Article: Priyadharshini, Abhishek B.P . Statistical Learning of Non-word Sequences Among Typical Adults. International Journal of Biomedical Engineering . 2019; 5(2): 19–29p.
BBS-Net: RGB-D Salient Object Detection with a Bifurcated Backbone Strategy Network

Multi-level feature fusion is a fundamental topic in computer vision for detecting, segmenting, and classifying objects at various scales. When multi-level features meet multi-modal cues, the optimal fusion problem becomes a hot potato. In this paper, we make the first attempt to leverage the inherent multi-modal and multi-level nature of RGB-D salient object detection to develop a novel cascaded refinement network. In particular, we 1) propose a bifurcated backbone strategy (BBS) to split the multi-level features into teacher and student features, and 2) utilize a depth-enhanced module (DEM) to excavate informative parts of depth cues from the channel and spatial views. This fuses RGB and depth modalities in a complementary way. Our simple yet efficient architecture, dubbed Bifurcated Backbone Strategy Network (BBS-Net), is backbone independent, runs in real-time (48 fps), and significantly outperforms 18 SOTAs on seven challenging datasets using four metrics.
ODK-X: From A Classic Process To A Smart Data Collection Process

Data collection is one of the first and main phases of the data life cycle. It enables improvements to be made across all phases of the data lifecycle. In this sense, we have proposed a data collection process qualified as Smart. For our smart data collection process, we have adopted the principles of the smart data approach allowing less data to be transmitted to the analysis and storage processes, while maintaining better data quality. In addition, we also used Edge computing since it provides services with faster response and better quality, compared to cloud computing. To experiment this process on mobile data, we propose to extend a mobile data collection software solution and adopt one of the key data collection methods. In this paper, we tested our smart data collection process via the ODK-X software suite and were able to identify the added value of our process compared to the one used by default during collection.
Impact of 4G Mobile Service Quality on Customer Satisfaction in Dhaka City: An Application of SERVQUAL Model

The aim of this study is to investigate how the different dimensions of 4G service quality affect customer satisfaction level of 4G mobile service users in Dhaka city. This descriptive study is based on empirical research approach that is done through collecting primary data from 365 respondents. The well known SERVQUAL model is used for examining impacts of tangibility, reliability, responsiveness, assurance and empathy on customer satisfaction. SmartPLS 3.0 and SPSS were used for data analysis. Based on previous studies, a model was developed and five hypotheses were proposed. SmartPLS booststrap was run to test the model validity and the hypotheses. Moreover, to find out the deviations between the expected and realized opinions towards all the dimensions of service quality gap analysis was done. The results shown that reliability, responsiveness and empathy positively influence customers’ satisfaction; where tangibility and assurance do not. The explanatory power of the model is 36.7% based on realized views about all the dimensions of service quality of 4G services.
Efficient Per-Example Gradient Computations in Convolutional Neural Networks

Deep learning frameworks leverage GPUs to perform massively-parallel computations over batches of many training examples efficiently. However, for certain tasks, one may be interested in performing per-example computations, for instance using per-example gradients to evaluate a quantity of interest unique to each example. One notable application comes from the field of differential privacy, where per-example gradients must be norm-bounded in order to limit the impact of each example on the aggregated batch gradient. In this work, we discuss how per-example gradients can be efficiently computed in convolutional neural networks (CNNs). We compare existing strategies by performing a few steps of differentially-private training on CNNs of varying sizes. We also introduce a new strategy for per-example gradient calculation, which is shown to be advantageous depending on the model architecture and how the model is trained. This is a first step in making differentially-private training of CNNs practical.
Efektifitas Game Edukasi Mengenal Benda Di Lingkungan Sekitar Sebagai Upaya Penanaman Kemandirian Belajar Untuk Siswa Tunagrahita Berbasis Android

The introduction of objects in the environment for mentally retarded is important to instill learning independence. However, in reality the process of recognizing objects in the environment is still limited and only done in manual form. It is against teachers in introducing objects in the environment around students who discuss the material presented. This study has three objectives namely to describe the development of educational games to recognize objects in the surrounding environment as an effort to improve the self-learning development of with special needs: Android-based mental retardation students, describe the feasibility and describe the game effectiveness, find out, find out what is being sought, looking for mentally disabled. The research subjects carried out this time were SLB teachers and mentally retarded students, while the object of this study was the material recognition of objects in the environment around mentally retarded students. The research method used in this study is the RnD method with the ADDIE development model. The research results obtained from this study are the development of an in-game program using the Construct 2.0 game engine software. The feasibility level of the Objects in the Neighborhood educational game gets results that are very feasible by media experts and  appropriate  by material experts. Meanwhile, the effectiveness of this educational game is seen from the approval of the average score of the four students, namely 70, and it can be agreed that it is effective. Based on the improvement in five aspects, namely time, concentration, motivation, student interaction and learning / evaluation outcomes in using this educational game, the educational game Knowing Around Objects for mentally retarded children can be said to be effective.
E-LIBRARY PADA PERPUSTAKAAN SMK PRASASTI KARANG BERAHI KOTA JAMBI:

From the background of the problems found in SMK Prasasti Karang Berahi Kota Jambi is in the application of data processing books are still relatively simple, only data processing books while data collection of borrowing and returning books are still writing / note on the agenda book for it is still many shortcomings in the application previous. To help these activities need to be created or designed a program or application that can be used together and able to handle all the activities of the library online or programmed with a good system. This E-library application is built using web technology using PHP scripting language, MySQL database, and Framework. The inputs used are library data books, member data, order data, lending and return data. Then generate output in the form of information data books, member data, data on borrowing transactions and returns in the library. With the implementation of this Web-based E-Library System at SMK Prasasti Karang Berahi so that it has an effect on the school, etc. and assist library staff in delivering library data book offline and online because of the data presented quickly.
Virtual project as a tool for leadership skills development

The paper is dedicated to the investigation of international online project influence on students’ leadership skills development. The sample included 141 students who participated in the online X-culture project as a part of their professional discipline course. The research was carried out in the years 2019-2020. The students were surveyed every week during a 2-month length project. For the analysis, we used the answers of the first and the last surveys to determine the impact of the project. The results showed significant improvements in all indicators of Leadership skills that confirmed the positive influence of the X-culture project. Moreover, we conducted inter-views with ten random students to reveal the influencing factors of the project and define whether the project changes students’ behavior toward professional discipline learning. Students confirmed the positive influence of working in a virtual team on their communication skills and general motivation to study the professional discipline. Thus, we confirmed the importance of implementing project activity into the courses of professional discipline due to substantial influence on leadership skills development and higher engagement in the learning process.
DeepKLM - 통사 실험을 위한 전산 언어모델 라이브러리 -

This paper introduces DeepKLM, a deep learning library for syntactic experiments. The library enables researchers to use the state-of-the-art deep computational language model, based on BERT (Bidirectional Encoder Representations from Transformers). The library, written in Python, works to fill the masked part of a sentence with a specific token, similar to the Cloze task in the traditional language experiments. The output value of surprisal is related to human language processing in terms of speed and complexity. The library additionally provides two visualization tools of the heatmap and the attention head visualization. This article also provides two case studies of NPIs and reflexives employing the library. The library has room for improvement in that the BERT-based components are not entirely on par with those in human language sentences. Despite such limits, the case studies imply that the library enables us to assess human and deep learning machines’ language ability.
Determinants of Entrepreneurial Intention of Local and International University Students: A Case From Jordan

The main purpose of this empirical study is to understand the factors that may affect student’s Entrepreneurial Intention (EI) by using EIs self-administered Questionnaire (EIQ) to a convenient sample, 245 local and international undergraduate students at the first ranked private university in Jordan and the tenth Arab by the number of international students according to the QS (2020) report. The other purpose is to detect if there are differences in student’s EI from different colleges, considering that most previous research studies emphasized the EI for business students, supported with lack of empirical evidence on the variables that may influence the individual’s decision to start a venture, in addition to the traditional question, aspiring entrepreneurs do really have different demographic characteristics from those non-entrepreneurs. The findings show that entrepreneurial competencies, perceived behavioral control, personal intention and self-efficiency have significant statistical effect on EI. However, no significant statistical impact of entrepreneurial government support; social support and surprisingly entrepreneurial education on EI. According to Independent sample (t) test, there were statistically significant differences between Jordanian and non-Jordanian in EI in favor of Jordanian students, also, according to One-way Anova, the results indicate that there are statistically significant differences in some demographic variables in favor of business students and age group (22-24) years. All these results were by means of using SPSS version 25 and Smart PLS 3 to conduct Structural Equation Modeling (SEM). The author calls on both the Jordanian government and universities to educate and train students the basics to think and act as entrepreneurs so that upon graduation they can start up their own business, and to adapt non-standardized curriculum and special teaching strategies for entrepreneurship courses to different students in different colleges.
LibGuides: Appy Hour: Browser Plugins and Mobile Applications : For Writing

Learn about new app solutions designed to effectively research information, maximize productivity, promote self-learning, and enhance communication.
Symbolic Manipulation for Optimization of Boolean Functions for Control of Pneumatic and Electropneumatic Circuits

This article describes a program developed in PROLOG, which performs a symbolic computational manipulation of Karnaugh Maps (MK), to obtain the set of optimized logical equations that enable the control of pneumatic or electropneumatic circuits. The symbolic manipulation of a MK is governed by a set of generic rules that allow the minimization / optimization of logic equations for control of the circuit. This complexity comes from the combinatorial explosion that results from the increase in the number of cylinders that make up the cycle to be automated. The symbolic learning approaches were implemented by searching the MK symbolic patterns space. This search allows, with the use of rules, to reduce the universe of search in the space of symbolic patterns and to obtain the ideal solution to control the pneumatic or electro-pneumatic circuit desired.
DESIGN OF WEB-BASED INFROMATION SYSTEM FOR THE BUNG HATTA UNIVERSITY PROFESSIONAL CERTIFICATION INSTITUTE

Professional certification is an effort to recognize a person's competence by the required work competency standards. Bung Hatta University Professional Certification Institute (LSP) is an agency implementing competency certification activities that have received a license from the National Professional Certification Agency (BNSP) to certify students from various fields of science and professions at Bung Hatta University. Bung Hatta University LSP has the status of the first party LSP educational institutions. The registration process for certification at the Bung Hatta University LSP is still done manually by filling in several paper forms. This is considered ineffective considering the current technological advances. By developing a website-based information system, this can be overcome. The purpose of designing a website-based information system is to produce an information system that can assist the certification process and can be accessed by any relevant user anytime and anywhere. This information system was developed using the waterfall method. This method has several stages, namely the needs analysis, design, implementation, and testing stage. The design of this information system used Unified Modeling Language (UML) and implemented using the Yii2 framework as a PHP framework and MySQL as a Database Management System (DBMS). The design of this information system resulted in a web-based Information System for Bung Hatta University LSP, which focused on the initial administrative process.
LibGuides: How To Get Your True-Crime Fix Digitally: Getting Involved with the True-Crime Community

Are you an amateur crime detective? Do you find yourself on Google late in the night searching for details about the latest true crime story? The search is over: here is the ultimate guide to getting your true-crime fix, whether through podcasts, videos, Whether it is conventions, festivals, or meet and greets, here are some of the best places to get involved with your local true-crime community.
IOT BUILDINGS SECURITY BASED ON LIGHTWEIGHT HYBRID ENCRYPTION ALGORITHM WITH SHA3

Modern application based on IoT sensors/devices is growing in several fields. In several cases, the sensing data needs to be secure in transmission to the control administrator side. This paper proposed a secure Internet of Things data sensing by using lightweight encryption with key generation. The system used three types of sensors (key-flame, Light, door sensors) that connected to Raspberry-Pi which represent the server-side. It connected to the camera responsible for monitoring a specific place. The IoT technique capture image in periodic time as the normal case, while it capturing more depend on three sensors if there are any abnormal event. The captured image encrypted and authenticated using SHA3 message digest. The two results transferring to the client-side. On the receiver side, the decryption algorithm is applied and the hashing applied on the decrypted image and matched with the received one for authentication.  The method provides a high level of security for any sensitive information that may be generated from sensors that may be installed in an important location to protect buildings and offices
A Tentative Study of English Teaching Strategies in Senior Middle Schools under the Internet

In 2012, China put forward the concept of “Internet +” and provided new ideas for development in many fields. Front-line educators were also inspired to combine the Internet with teaching practice to explore. “Internet +” education is the use of information technology in the field of education to realize the sharing of educational resources. The education model is often new and education is informatized. The emergence of this model has provided reference for many front-line educators, promoted the continuous improvement of the traditional education model, and is conducive to the continuous improvement of the quality of education. This article will elaborate on the impact of “Internet +” on high school English teaching strategies from the perspective of the Internet background, and provide guidance for other English educators.
Pelatihan Membaca Puisi Sesuai dengan Kaidah Bahasa Indonesia bagi Siswa Madrasah

Reading poetry is one of the language skills, the skills are reading poetry in public with correct pronunciation, beautiful intonation, and correct expression. However, especially students at MI Nurul Huda Sungai Binjai, Keritang District did not read poetry by applying the conditions or rules for reading poetry. For instance: not reading poetry with the correct pronunciation, not using beautiful intonation, also not expressing the poetry properly. Thus, the training was given to students to read poetry properly. The method used in this service is the training method. The result of this training indicated that students able to read poetry with correct pronunciation, beautiful intonation, and they can read poetry with correct expressions.
LibGuides: Lima Primary Library: Student Resources

Information about Lima Primary Library resources, databases, useful websites, and educational games. Links to databases, useful websites, and educational games
CommonKADS and Ontology Reasoner: Bulky-Baggage Case Study

This paper presents the development of an agent based on an ontology reasoner based on the CommonKADS methodology. An ontology is built for the representation of the shoplifting trick “bulky-baggage” in the Protégé tool and in Java source code on the Jena library. And to build the agent, the Pellet reasoner is used both for Protégé and for its implementation in Java. As a result, the products that were stolen from the supermarket are taken by inference.