Reviewerly/exHarmony huggingface dataset:
Teaching Robots to Interact with Humans in a Smart Environment

Robotics in healthcare has recently emerged, backed by the recent advances in the field of machine learning and robotics. Researchers are focusing on training robots for interacting with elderly adults. This research primarily focuses on engineering more efficient robots that can learn from their mistakes, thereby aiding in better human-robot interaction. In this work, we propose a method in which a robot learns to navigate itself to the individual in need. The robotic agents' learning algorithm will be capable of navigating in an unknown environment. The robot's primary objective is to locate human in a house, and upon finding the human, the goal is to interact with them while complementing their pose and gaze. We propose an end to end learning strategy, which uses a recurrent neural network architecture in combination with Q-learning to train an optimal policy. The idea can be a contribution to better human-robot interaction.
Learning Generalized Temporal Abstractions across Both Action and Perception

&#x0D; &#x0D; &#x0D; Learning temporal abstractions which are partial solutions to a task and could be reused for other similar or even more complicated tasks is intuitively an ingredient which can help agents to plan, learn and reason efficiently at multiple resolutions of perceptions and time. Just like humans acquire skills and build on top of already existing skills to solve more complicated tasks, AI agents should be able to learn and develop skills continually, hierarchically and incrementally over time. In my research, I aim to answer the following question: How should an agent efficiently represent, learn and use knowledge of the world in continual tasks? My work builds on the options framework, but provides novel extensions driven by this question. We introduce the notion of interest functions. Analogous to temporally extended actions, we propose learning temporally extended perception. The key idea is to learn temporal abstractions unifying both action and perception.&#x0D; &#x0D; &#x0D;
Digital attitude in university teachers and emerging factors: a case study in the colombian context for the implementation of MOOC courses type

The objective of this research article is to make a contrast between the results obtained through the application and adaptation of a previously validated instrument on Digital Technologies and the use they make of them. The sample is equal to the population of the institution, the inclusion criterion corresponds to the total of teachers who participated, that is, 63, and those who did not want to participate were excluded. The implications of two emerging factors are analyzed through the principal component analysis method. The results obtained from the instrument and its contrast with the data of use of Digital Technologies allow to determine that the attitudes of teachers towards them are ”Muy Favorables”, which is contradictory with the instrumental use they make of them. These findings are taken as a baseline to undertake a future training process that favors the mobilization of processes that focus Digital Technologies towards learning, empowerment and participation.
The Effectiveness of Comic Strip As Media to Improve the Students’ Reading Comprehension on Narrative Text of MTs Ar-Rahman Langkat

In this research, the writer would deal with reading skill based on the consideration&#x0D; that success in reading will be very important for students both for academic and&#x0D; vocational advancement. For mor than a quarter of a century language teachers have&#x0D; been dominated by the idea that speech is the primary from of languange, writing is&#x0D; secondary. So, it is logic that there is such a common sense that teaching languange&#x0D; is nothing more than a remedial stage of preparation to the more rigorous. Moreover,&#x0D; reding is regarded as somewhat dull because today’s generationg ets philosopy from&#x0D; thr movie. In fact, studying literature can assure intellectual stimulation even at the&#x0D; beginning stages of learning.&#x0D; According to the statement above, there is a challenge on the foreign language teacher&#x0D; to provide exposure to language and to provide opportunities for learning through&#x0D; classroom activities. In class, teacher have significant rule to bring out the fun class to&#x0D; the students. So, teacher should try to get students read and develop their skills that&#x0D; are aimed to improve their ability and will to read. Theey should be a good facilitator&#x0D; in creating nd building an effecctive reading class. One way to conduct the clss to be&#x0D; more interesting is by using a fresh and interesting material to be brought to clas. This&#x0D; case is also happend in MTs Ar-Rahman Langkat that only some of material in the book&#x0D; about reading comprehension and many students can not understand what the next&#x0D; talk about.&#x0D; In other words, comic is unification , work of art among fine literary works in which&#x0D; there are usual froms are the verbal explanation in fixedd sequence and has cartoon&#x0D; story as theme. Reading cimics is more than the material in hand, that it involves a&#x0D; certain immersion into the cultural of the comics that one readers to get the right&#x0D; visualization. Teacher should be sekective in choosing teaching media/ aids. In the&#x0D; writer’s opinion, teaching English on reading skill using comic strips was one of teacjing&#x0D; aid which student’s were given chance to learn English more fun.
Large universe multi-authority attribute-based PHR sharing with user revocation

In the patient-centric model of health information exchange, personal health record (PHR) is often outsourced to third parties, such as cloud service providers (CSPs). Attribute-based encryption (ABE) can be used to realise flexible access control on PHRs in cloud environment. Nevertheless, the issues of scalability in key management, user revocation and flexible attributes remain to be addressed. In this paper, we propose a large-universe multi-authority ciphertext-policy ABE system with user revocation. The proposed scheme achieves scalable and fine-grained access control on PHRs. In our scheme, there are a central authority (CA) and multiple attribute authorities (AAs). When a user is revoked, the system public key and the other users' secret keys need not be updated. Furthermore, because our scheme supports large attribute universe, the number of attributes is not polynomially bounded and the public parameter size does not linearly grow with the number of attributes. Our system is constructed on prime order groups and proven selectively secure in the standard model.
Advocacy Learning: Learning through Competition and Class-Conditional Representations

We introduce advocacy learning, a novel supervised training scheme for attention-based classification problems. Advocacy learning relies on a framework consisting of two connected networks: 1) N Advocates (one for each class), each of which outputs an argument in the form of an attention map over the input, and 2) a Judge, which predicts the class label based on these arguments. Each Advocate produces a class-conditional representation with the goal of convincing the Judge that the input example belongs to their class, even when the input belongs to a different class. Applied to several different classification tasks, we show that advocacy learning can lead to small improvements in classification accuracy over an identical supervised baseline. Though a series of follow-up experiments, we analyze when and how such class-conditional representations improve discriminative performance. Though somewhat counter-intuitive, a framework in which subnetworks are trained to competitively provide evidence in support of their class shows promise, in many cases performing on par with standard learning approaches. This provides a foundation for further exploration into competition and class-conditional representations in supervised learning.
Analysis of Software Deformity Prone Datasets with Use of AttributeSelectedClassifier

Software Deformity Prone datasets models are interesting research direction in the era of software world.In this research study, the interest class of software deformity prone is defective model datasets.There are different techniques to predict the deformity prone datasets model.Our proposed solution technique is AttributeSelectedClassifier with selected evaluators and searching method for reducing the dimensionality of training and testing data provided by defected models NASA datasets by attribute selection before being passed on classifiers.We have used three evaluators and search methods.These evaluators are CFSSubsetEval, GainRatio and Principal Component Analysis (PCA).The search methods are BestFirst and Ranker.We have used 12 different classifiers for analyzing the performance of these three evaluators with search methods.The experimental results and analysis are measured with True Positive (TP-Rate), Positive Accuracy, Area under Curve (ROC) and Correctly Classified Instances.The results showed that that CFSSubsetEval and GainRatio performance is better in almost classifiers.Hoeffding tree, Naive Bayes, Multiclass, IBK and Randomizable filtered class increased performance in Positive Accuracy in all techniques.Stacking has worst performance in positive accuracy and True Positive tp-rate in all over technique.
Intuitionistic fuzzy recursive enumerable languages and its closure properties

In this paper a new class of Fuzzy Turing Machine is introduced which is called Intuitionistic Fuzzy Turing Machine.This Intuitionistic Fuzzy Turing Machine uses tnorm for membership degree and its dual tconorm for non-membership degree.This paper studies the relation between Intuitionistic Fuzzy Turing Machine and Nondeterministic Turing Machine and the Closure properties of family of Intuitionistic Fuzzy Recursive Enumerable Languages under Concatenation and Reverse of a language.
On the Responsibility for Undecisiveness in Preferred and Stable Labellings in Abstract Argumentation (Extended Abstract)

Different semantics of abstract Argumentation Frameworks (AFs) provide different levels of decisiveness for reasoning about the acceptability of conflicting arguments.The stable semantics is useful for applications requiring a high level of decisiveness, as it assigns to each argument the label "accepted" or the label "rejected". Unfortunately, stable labellings are not guaranteed to exist, thus raising the question as to which parts of AFs are responsible for the non-existence. In this paper, we address this question by investigating a more general question concerning preferred labellings (which may be less decisive than stable labellings but are always guaranteed to exist), namely why a given preferred labelling may not be stable and thus undecided on some arguments. In particular, (1) we give various characterisations of parts of an AF, based on the given preferred labelling, and (2) we show that these parts are indeed responsible for the undecisiveness if the preferred labelling is not stable. We then use these characterisations to explain the non-existence of stable labellings.
The Effectiveness of Team Games Tournament with Edmodo on Students’ Learning Outcome and as an Attempt to Support the Pillar of Paperless Conservation

Model and learning media is the important component that can affect the result of learning outcomes. The appropriate model of learning can improve students learning activity. The result of interest questionnaire and interview with biology teachers in SMA N 1 Jatibarang showed that student activity interest at medium category and paper became the main option for all administration and documentation needs. Team Games Tournament with edmodo was rated as the most appropriate model that match the situations and conditions in SMA N 1 Jatibarang nowadays. This model has high efficacy level to solve the activity and learning outcome problem, meanwhile Edmodo is the proper rated class-based website as the solution for paperless attempt. This study aim is to evaluate the effectiveness of Team Games Tournament with edmodo toward student learning outcome and as an attempt to support the pillar of paperless conservation in SMA N 1 Jatibarang. A pre-experimental, One Group Pretest-Posttest Design was used. Samples was collected by purposive sampling methods. All XI MIPA students used as experiment class. Data collection method in this study is a test and questionnaire based methods. Data analysis result showed that classical mastery at 93.26% and N-gain score at 0.70 with high category. The student opinion towards TGT method with edmodo has a very good category. The conclusion is Team Games Tournament model with edmodo effective towards student learning outcome and as an attempt to support the pillar of paperless conservation.
The Training and Application of Chorus under Ecology Rehabilitation Training

In order to study the effect of ecological rehabilitation training on chorus training and application, 16 students were recruited from colleges and universities. The technique of ecological rehabilitation training was used to train and practice chorus, and relevant experimental data were recorded. The results showed that the main influencing factor of ecology group was the number of exercises. As the number of exercises increased, the average correct rate of subjects in the ecology group increased. Electroencephalogram (EEG) results show that ecological rehabilitation training can promote the training and application of chorus, and has a significant impact on brain area and regularity. The results of self-efficacy test showed that, with the support of ecological rehabilitation training, the self-efficacy of the subjects reached 3.44, and the self-efficacy was improved. In conclusion, the ecological rehabilitation training technology has a positive effect on the training and application of chorus.
Pengembangan Desain Perencanaan Sistem Informasi Geografis sebagai Alternatif Pembelajaran dalam Keperawatan Kesehatan Komunitas

Introduction: The learning process of nursing students faced complexity problems, particularly in community health nursing course. There is no latest information technology application that addresses are impacted to the educational problems of undergraduate and professional nursing program. An unclearly visualization of the data assessment of community nursing care provide distresses for lecturer and nursing student. Geographic Information Systems (GIS) provide a detail visualization that related to health problems in the community. This study aims to provide a visualization about the development of GIS that may become an alternative learning for nursing students.Methods: This article describes the part of action research process. Five nursing students and two lecturers of community health nursing were recruited. The data collection was conducted by interview and observation for data assessment in the first step of development of GIS application.Results: There were four steps of making of GIS application, which is divided into four steps, including need analyzing, application design planning, the diagram of data flow, and application description.Conclusion: The GIS has benefit for learning process, some policies are necessary to mediate the development and application of GIS for nursing students in community health nursing course.
Sistem Informasi Geografis Pemantauan Status Gizi Balita di Kabupaten Lombok Barat untuk Pemeringkatan Daerah Rawan Gizi dengan Menggunakan Metode Analytical Hierarchy Process

This research was triggered by the increasing number of malnutrition cases in West Lombok Regency that caused the mortality rate of children under five years old is also increasing. This research is aimed to provide the malnutrition status information and other related nutritional information, also to let the citizen send their feedbacks to the Public Health Office and Community Health Clinic. This system was built with waterfall model as its System Development Method and Analytical Hierarchy Process (AHP) method to determine the nutritional areas. This system was tested with blackbox, whitebox and MOS. Whitebox was used to test the Analytical Hierarchy Process and the result was corresponding to the manually done calculation. Meanwhile the testing using blackbox showed that the system has been running well. The testing using MOS showed that the average assessment of public respondents to the system stated strongly agree, agree and fair were 39.04%, 55.24%, and 5.72% respectively
Sistem Pembayaran UKT Online Bagi Mahasiswa Politeknik Negeri Sriwijaya Berbasis Android

The design of online UKT payment applications is based on the writer's desire to help Sriwijaya Polytechnic students in facilitating several daily support activities with an easier and more practical process, especially in this case related to online UKT payments. Thus the author intends to design an application online UKT payment system which in this study the author uses several programming languages such as Java, PHP, and My SQL then supported by the use of the waterfall method through the stages of design, modeling, construction, and submission of the system to users which ends with the stages of device usage in the final results The author uses this waterfall method hoping to minimize errors because as we know this method uses the one by one phase development process. The completion of this application is expected to be useful in the community, especially student students. i Sriwijaya State Polytechnic in making online UKT payments that can be used on their respective smartphones
Relation extraction based on semantic dependency graph

Distant supervision has a good effect in relation extraction tasks. Meanwhile, most methods use multi-instance learning to reduce the impact of training data been wrong labelled in distant supervision. However, the effect of multi-instance learning depends on the sentence feature vector extracted b y the neural network. At present, most methods for extracting sentence features only pay attention to the structural features of sentences, while ignoring semantic features. As a result, structural feature sentences and semantic feature sentences cannot occupy the same proportion in multi-instance learning, which further influences the precision of the model. To alleviate this issue, we propose a BiLSTM-CNN-Attention model (BLCANN) based on semantic dependency graph to extract sentence features. In this model, we extract the shortest dependency path between the two entities from the semantic dependency graph as the input to the model. The shortest path combines the structural and semantic features of the sentence, which contributes to distinguishing between positive and negative examples in multi-instance learning. Experimental results show that our model is adept in extracting structural features and semantic features. Our model has increased the precision of the relationship extraction on Top100 by 10 percent compared to the baseline [9].
Pemodelan Arsitektur Sistem Informasi untuk Mendukung Aktivitas Akademik di STIMIKOM Stella Maris Sumba

Information technology and information systems are a very fundamental requirement in supporting business functions in an organization or company, whether government or private. Amid the rapid development of information technology, universities are challenged to implement information technology and information systems that can facilitate and accelerate services, both to students, lecturers and the general public in terms of obtaining information. In developing information systems, there needs to be careful planning for the short, medium and long term so that the system that has been built can continue to be developed together with the construction of a new system. Enterprise Architecture Planning is a methodology that can be used to build a structured system architecture starting from planning to the implementation planning stage. In this journal, we will discuss the use of Enterprise Architecture Planning in creating information system architecture to support academic activities in the form of data architecture, applications and technology
Improvement of Language Understanding using Sentence Identification Methods in Mathematics Subject of Story Matter in 4th Grade MI

This aims of study is to improve the understanding of language by identifying the main sentence in mathematics subject especially in the story matter. The methods of this research is class room action reseach by doing two cycles proccess. The collecting data method was obtained by observation, test, and documentation. Data analysis proccess was done by using an interactive model consisting of four components of analysis including data colection, selection, presentation, and conclusion.Based on the results, sentences identification learning method can be increased language understanding to solve the problem of story matter in mathematic subject in 4th grade in MI. Thus, it could be concluded that in mathematics learning by using sentences identification methods can be used to increase MI student ability to solve the story of matter. By the methods, the students will be easy to understand the sentences, so thet can finish and solve the test, and also they can made their sentences on their mind.
Media Pembelajaran Berbantuan Komputer untuk Meningkatkan Prestasi Siswa Kelas XII SMA pada Materi Kaidah Pencacahan

&lt;div align="center"&gt;&lt;table class="KisiTabel1" width="645" border="1" cellspacing="0" cellpadding="0"&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td valign="top" width="439"&gt;&lt;p&gt;&lt;strong&gt;Abstract:&lt;/strong&gt; The purpose of developing this computer-assisted learning media is to improve student learning achievement in rules for high school class XII students. The research development model uses the Plomp model divided into five stages, namely (1) initial investigation, (2) design, (3) making, (4) trial and revision, and (5) application. This media is called Bel Kaca. The results of this study are computer-assisted learning media that are valid, effective, and practical for use in teaching and learning activities.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Abstrak:&lt;/strong&gt;&lt;em&gt; &lt;/em&gt;Tujuan dari pengembangan media pembelajaran berbantuan komputer ini adalah untuk meningkatkan prestasi belajar siswa pada materi kaidah pencacahan untuk siswa kelas XII SMA. Model pengembangan penelitian ini menggunakan model Plomp terbagi lima tahapan yaitu (1) penyelidikan awal, (2) rancangan, (3) pembuatan, (4) ujicoba dan revisi, dan (5) penerapan dan penyebaran. Media ini bernama Bel Kaca. Hasil dari penelitian ini adalah media pembelajaran berbantuan komputer ini valid, efektif, dan praktis untuk digunakan dalam kegiatan belajar mengajar.&lt;/p&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;