Reviewerly/exHarmony huggingface dataset:
Correction to “large sets of orthogonal sequences suitable for applications in cdma systems” [jun 16 3757-3767]

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RELASI MAKNA DALAM RUBRIK “AH… TENANE” KORAN SOLOPOS DAN RELEVANSINYA DENGAN PEMBELAJARAN BAHASA INDONESIA DI SEKOLAH MENENGAH ATAS

&lt;em&gt;This research aims to describe: (1) the relation of meaning used in the rubric “Ah Tenane” newspaper SOLOPOS Edition April 2017; and (2) the relevance of the rubric “Ah Tenane” newspaper SOLOPOS 2017 Edition in Indonesian Language learning in high school. This research used a qualitative description of the approach. This type of research is the analysis of the contents. Sampling techniques using a purposive sampling method. Data collection using the technique of the analysis of the documents and interviews with informants. The validity of the data using triangulation theory and triangulation of sources. Data analysis using interactive analysis. Results of the study include: (1) the relation of meaning used in the rubric "Ah ... Tenane "newspaper SOLOPOS Edition April 2017 is synonymous with the time factor, the factor of place or region, keformalan factors, social factors, activities factors, and shades of meaning. Ofarim with absolute factor, the relative factors of relational factors, factor, hierarkial. There is also which, homonimi, and hiponimi; (2) the rubric "Ah ... Tenane "newspaper SOLOPOS Edition April 2017 relevant if implemented in Indonesia language learning in high school. Based on informants, the rubric "Ah ... Tenane "newspaper SOLOPOS April 2017 Edition has the information and entertainment that can be read by students.&lt;/em&gt;
ASPEK DIKSI SERTA NILAI-NILAI PENDIDIKAN KARAKTER DALAM NOVEL AYAH KARYA ANDREA HIRATA

&lt;em&gt;This study aimed to describe and explain: (1) the aspects of diction used in the novel Ayah by Andrea Hirata; (2) the values of character education in the novel Ayah by Andrea Hirata; and (3) the relevance of Andrea Hirata’s novel Ayah as a teaching material of language and literature in Vocational High School. This study is a qualitative research that analyzes the data in the form of documents with the object of study of novel Ayah by Andrea Hirata. The results of this study are as follows. (1) The diction aspect contained in Andrea Hirata's father's novel includes five types of diction, (2) Novels contain sixteen points of character education values, (3) Novel Ayah is relevant to the learning of Indonesian language and literature in SMK because the aspect of diction and the value of character education in accordance with the learning objectives that have been designed using the Learning Implementation Plan based on the Core Competence and Basic Competence which includes the competencies that the learners must achieve in language and literature learning. Dad's novel can increase students' vocabulary mastery according to language ability, student psychology, and cultural background.&lt;/em&gt;
Empirical evaluation of contextual policy search with a comparison-based surrogate model and active covariance matrix adaptation

Contextual policy search (CPS) is a class of multi-task reinforcement learning algorithms that is particularly useful for robotic applications. A recent state-of-the-art method is Contextual Covariance Matrix Adaptation Evolution Strategies (C-CMA-ES). It is based on the standard black-box optimization algorithm CMA-ES. There are two useful extensions of CMA-ES that we will transfer to C-CMA-ES and evaluate empirically: ACM-ES, which uses a comparison-based surrogate model, and aCMA-ES, which uses an active update of the covariance matrix. We will show that improvements with these methods can be impressive in terms of sample-efficiency, although this is not relevant any more for the robotic domain.
PELAKSANAAN PEMBELAJARAN MENULIS CERITA PENDEK (STUDI KASUS DI KELAS XI SMK NEGERI 5 SURAKARTA)

&lt;em&gt;The purposes of the research are to describe and to explain the learning&lt;strong&gt; &lt;/strong&gt;process of short-story writing based on Curriculum 2013 which includes teachers’ comprehension about Curriculum 2013, planning, implementation, and assessment based on the Curriculum 2013 and the constraints and efforts made to overcome the obstacles. The research used descriptive qualitative with a case study approach. The data resources in this research was obtained through observation, in-depth interviews, and documents analysis. Based on the results of the study, it was concluded that learning to write short stories needs to be evaluatedin order to increase the quality of learning process both from planning, implementation, and the assesment because there are still some obstacles in the implementation. This the Curriculum 2013 can be implemented in accordance with the concepts and rules have been made by the government and achieve the goal of education have been formulated.&lt;/em&gt;
Objective Assessment in Continual Medical Education (CME) Medical Objective Assessment in System Control

Existing examinations in postgraduate education and continuing medical education (CME) are not perfect. Modern assessment does not reflect disadvantages of older responders, for whom more time for reply is needed. Specialists with wide clinical experience may choose more than one correct answer in alternative questions. Reduced ability to remember in older people restricts examination without additional sources of information.We offer an individualised system for testing doctors. It provides personalised choice of examination questions using multiple choice questions with weight characteristics and absence of distractors, interactive cooperation in case of negative answers and the final decision of an expert in relation to the person tested. A special algorithm is proposed for typical questions that combines the advantages of known approaches to testing. The questioning system is complex for the creators of tests, but is more convenient and objective than existing ones for medical doctors.
Non-empty bins with simple tabulation hashing

We consider the hashing of a set X ⊆ U with |X| = m using a simple tabulation hash function h : U → [n] = {0,. . . , n - 1} and analyse the number of non-empty bins, that is, the size of h(X). We show that the expected size of h(X) matches that with fully random hashing to within low-order terms. We also provide concentration bounds. The number of non-empty bins is a fundamental measure in the balls and bins paradigm, and it is critical in applications such as Bloom filters and Filter hashing. For example, normally Bloom filters are proportioned for a desired low false-positive probability assuming fully random hashing. Our results imply that if we implement the hashing with simple tabulation, we obtain the same low false-positive probability for any possible input.
A Practical Graphical Approach for Drawing Shear Force and Bending Moment Diagrams

in the field of mechanical engineering from
Network database design for conflict and post-conflict Land Tenure Information Systems (LTIS)

The paper presents the Talking Titler Network (TTN) database design for land records in complex situations.In conflict and post-conflict situations, conventional land record database models are limited in how they can handle the complex constellations of interests in particular land units.One solution is a network database model that can capture multiple, overlapping and layered tenure relationships in a changing environment which can be augmented by data mining and social network analysis to overcome the limitations of the relational data model in handling complex, competing evidence.The Triple Store graph database development system and its ontology languages were used to design and develop the TTN prototype.The authors' observations from the Gaza Strip, an ongoing conflict situation, and Somaliland, a post-conflict situation, were used as illustrative contexts.The test results show that graph database flexibly captured, described, and automatically revealed tenure patterns.TTN simplified the complexity of tenure relationships among objects by organizing them into sets of connected triples, revealing tenure relationships, and visualizing tenure information as a graph network, and as a table .The initial design shows promise in capturing and revealing relationships in complex, contested tenure scenarios.
The mechanism of information transmission in living organisms

Background: According to modern ideas, in all organisms there is a single integrated system consisting of separate interrelated supramolecular structures localized both in the intercellular and intracellular spaces [1].Extracellularly localized structures such as extracellular matrix, various adhesive sites; the main intracellular supramolecular structure is the cytoskeleton system that affects the work of many subcellular structures, including the nucleus and the genetic apparatus of the cell.In this aspect, the plasma membrane (PM) of the cell is a separate supramolecular structure; on the one hand it distinguishes, and on the other hand combines all these supramolecular structures into a single integrated system of bioregulation (ISB).It is important to note that in the PM there are numerous systems that determine the vital activity of not only individual cells, but also their cooperative interaction with each other.As an example, we can cite ion channels, ligand-receptor complexes, enzyme-substrate systems, etc.It is assumed that the work of the ISB can be regulated mechanically as well, due to the forces of tension, pressure, contaction, and so forth arising in separate supramolecular structures.What is the source of these forces?Any living organism is a dissipative non-equilibrium system that constantly experiences the influence of various fields and substances from the outside world, adapting at the same time and adjusting to constantly changing conditions.Aims: In our view, the main structure that performs the function of a matrix that perceives such signals from the environment is the water of biological fluids.
Improved Cuckoo Search algorithm for numerical function optimization

<p style='text-indent:20px;'>Cuckoo Search (CS) is a recently proposed metaheuristic algorithm to solve optimization problems. For improving its performance both on the efficiency of searching and the speed of convergence, we proposed an improved Cuckoo Search algorithm based on the teaching-learning strategy (TLCS). For a better balance between intensification and diversification, both a dynamic weight factor and an out-of-bound project strategies are also introduced into TLCS. The results of numerical experiment demonstrate that our improved TLCS performs better than the basic CS and other two improved CS methods appearing in literatures.
PENGUJIAN MULTIMEDIA PEMBELAJARAN MATERI PERKEMBANGBIAKAN HEWAN DAN TUMBUHAN UNTUK SEKOLAH DASAR

Multimedia learning can be used as a teacher teaching aids, especially to visualize teaching materials. In order to maximum its learning tools, then the implementation of multimedia learning must go through the testing process first. The purpose of this study is to test the functionality of the application and to measure the perceptions of teachers and students on the multimedia learning of animal and plant breeding. Testing is done by Beta testing method consists of two stages: 1) application functionality testing, 2) user perception testing (teacher and student). Tests carried out by the perception of a Likert scale, and processed by taking the mean of the answers. 100% of the applications can be run in accordance with functionality. Variables: interface, interactions and material on learning multimedia of animal and plant breeding can be accepted by teachers and students. The challenge remains on infrastructure such as a computer student who has not been adequate or even students have not had a computer / tablet at home, so that the self-learning process can not be maximized.&#x0D; .
Expressive Avatars in Psychological Intervention and Therapy

A wide range of applications for virtual humans can be envisaged for the needs of both research and intervention in Psychology. This chapter describes the development and preliminary testing of an interactive virtual reality application “Virtual Spectators” – whereby virtual humans with expressive behaviour modelled on the basis of field research in human facial expression in real emotion contexts can be configured to interact with people in an interview or jury. We discuss the possibilities of this application in cognitive behavioural therapy using virtual reality and in nonverbal behaviour.
TEACHING HORTATORY EXPOSITION TEXT THROUGH CLUSTERING TECHNIQUE

Having writing problems was faced by students. This research purposed to describe the teaching process how Clustering Technique improves the students' writing skill of hortatory exposition text, and what influenced factors of their writing improvement. This is a Classroom Action Research. The participants of the research were the students of grade XI AB-3 of MA Darul Hikmah Pekanbaru. The data were collected in each cycle from observation checklists, field notes, interviews, and writing tests. Then the researcher found that Clustering Technique enables to improve better the students' writing skill of hortatory exposition text through the process of socializing, reviewing, controlling, monitoring, assisting, motivating, and practicing. Consequently, the students could improve their writing skill which involved the mean score improvement of writing indicators; grammar, vocabulary, mechanics, fluency, and organization. It could be seen from the improvement of the base score mean score (56.32), post-test I (64.23), and posttest II (73.85). Furthermore, the factors that influenced the improvement of their writing skill involved creative thinking, students' motivation, amount of writing practices, students' prior knowledge, and the teacher's role. To sum up, the implementation of Clustering Technique in teaching writing of hortatory exposition text could provide positive results on their writing skill.
Control of a robotic arm for transporting objects based on neuro-fuzzy learning visual information

New applications related to robotic manipulation or transportation tasks, with or without physical grasping are being developed.To perform these activities different kind of perceptions are need.One of the key perceptions in robotics is vision.However, camera-based systems have inherent errors which affect the quality of the information obtained.Image distortion slows down information processing and defers data availability to last processing stages, decreasing performance.In this paper, a new approach to correct diverse sources of visual distortions on images in early stages of the data processing is proposed.The goal of the proposed system/algorithm is the computation of the tilt angle of an object transported by a robot.After capturing the image, the computing system extracts the angle using a Fuzzy filter that corrects all distortions at only one processing step.This filter has been developed by means of Neuro-Fuzzy learning techniques, using data obtained from real experiments.In this way, computing time can be decreased and the performance of the robotic application can be increased.The resulting algorithm has been tried out experimentally in robot transportation tasks in the humanoid robot TEO (Task Environment Operator).
Design and development of an algorithm for mining rare item sets

&lt;p&gt;Frequent item set mining emphases on excavating item sets which follow frequently in a transactional database. These item sets are advantageous in professional decision making. Investigators have projected numerous processes to mine rare item sets, however it is still stimulating. In current studies, to catch rare item sets, customer demarcated single threshold value ought be fixed small adequate which outcomes in generation of enormous quantity of duplicate item sets. The rare item sets may not initiate if a high threshold value is fixed. In this study, an exertion is generated to analyse the rare items for discovery of all probable rare item sets from the transaction database. To mine rare item sets effectually, a method has been anticipated that would permit customer to identify many lowest support that imitates the items and their diverse occurrences in list.&lt;strong&gt; &lt;/strong&gt;Investigational results shows that novel methodology is more righteous and vigorous than the present systems.&lt;/p&gt;
Penerapan Metode Total Physical Response (TPR) untuk Meningkatkan Keterampilan Kosakata Bahasa Inggris bagi Siswa Tunagrahita

This study aims to understand the use of Total Physical Response or TPR method to improve English vocabulary skill of students with mental retardation. Students with mental retardation are students who have an IQ score less than 70 on a psychological test of intelligence; therefore, they have difficulty in learning including learning English. TPR is a fun method to teach students with mental retardation. The subject of this study was eight students with mental retardation of the 11th grade in SLB N Kota Magelang. To investigate the TPR method, the researchers did direct teaching to the students. Pre-test was given before TPR method was employed then post-test was done afterwards. By comparing the pre-test and post-test score, the result shows that the students’ average score increases after the TPR method was implemented. The highest score in pre-test is 90 and the lowest score is 60. Meanwhile, the highest score in post-test is 100 and the lowest score is 70. The average score in pre-test is 71,25 and the average score in post-test is 87,50. It can be concluded that Total Physical Response method was successfully implemented in increasing the students’ English vocabulary skill.
Combining recursive projection and dynamic programming technique in multi UAVs formation anomaly detection

To deal with the problem of anomaly detection in multi UAVs formation, and simplify the complexity of hypothesis testing or probability inequalities, the anomaly detection problem can be transformed to identify some unknown parameters process. To avoid a statistical description of measurement noise, a worthwhile alternative is the bounded noise characterisation. In the presence of bounded noise, the projection algorithm with dead zone and its modified form are proposed to identify the unknown parameters, such that the robustness of projection algorithm can be enhanced by increasing a dead zone. Furthermore, dynamic programming technique is introduced to balance the desire for lower present cost with the undesirability of high future cost in determining the anomaly detector, then the cost of collecting new observations and the higher probability of accepting the wrong hypothesis can be compensated. A numerical example illustrates the characteristics of the anomaly detection problem.
Android-based Mobile Application for Door-to-Door Product Delivery

Many companies, such as Aramex, FedEx, and SMSA, offer product delivery services. However, the delivery process through these companies is costly and/or requires the customer’s physical attendance at the company to get the sent shipments. There is a persistent need to improve the delivery process in Saudi Arabia to reduce the effort, cost, and time that the customer spends to get the shipped products. This paper presents a new delivery approach in Saudi Arabia by developing an Android-based MobApp that allows the customers to use their mobile devices to send and receive shipped products at their doorstep by submitting online requests through the developed MobApp. The proposed MobApp, named as Door-to-Door (D2D) product delivery MobApp, guarantees fast and costless service among its competitors. The MobApp will provide its customers a reliable delivery process. It aims to provide a domestic delivery chain with whomever to wherever within Saudi Arabia. In addition, the proposed delivery MobApp allows the customers to create, update and track the delivery orders. Moreover, the proposed D2D delivery MobApp is easy to install and use, it provides a friendly GUI and has a powerful steady performance.
Knowledge management system SOP using semantic networks connected with personnel information system: case study Universitas Singaperbangsa Karawang

Document Standard Operating Procedures (SOP) can manage business processes and employee performance in an organization. This study aims to develop a system that can publish SOP documents automatically distributed to employees. In this study, an analysis of the relationship between SOP documents and employees is carried out so that it can be directly allocated to employees according to the position. Knowledge analysis of the relationship between SOP documents and employees is done using semantic network analysis. Semantic networks are used to analyze components of knowledge and the relationship between SOP documents and employees. The results of the report of the elements of knowledge and the relationship between SOP documents found 25 SOP documents were consisting of 6 types of central nodes with 156 child nodes and had 7 types of relations containing 207 relations. SOP knowledge management system is connected to the personnel information system (SIPEG) so that it makes it easier for users to find, accommodate, and manage the knowledge contained in SOP documents. System implementation is done using PHP programming language with CodeIgniter framework, Rest API, and MySQL database.
Persepsi Mahasiswa PBI terhadap Penerapan Pembelajaran Aktif Menggunakan Model Pembelajaran Kooperatif pada Mata Kuliah Drama, Prose, Poetry

Literary subjects are usually presented through lecturing the students in the classroom, leading them into a stage of boredom. In fact, the learning method has shifted from teacher-centered to student-centered. This way, active learning becomes necessary. The study aims to know the students’ perception on the use of active learning, especially cooperative learning, in Drama Prose Poetry subject. The research belongs to descriptive qualitative study, using closed and open questionnaires to obtain qualitative and quantitative data. The participants are 83 students taking Drama Prose Poetry subjects in the department of English Education. The results show that more than half of the participants (58 in number) agree to be more active in the classroom.
A novel verifiable and unconditionally secure (m, t, n)-threshold multi-secret sharing scheme using overdetermined systems of linear equations over finite Galois fields

Threshold multi-secrets sharing schemes allow sharing a set of m secrets among n participants, while secrets can be revealed only if t or more participants collude. Although many multi-secret sharing schemes have been proposed, several improvements remain essential in order to cope with actual effectiveness and security requirements, including computational performances and compliance for large-scale data. In this paper, we present a novel multi-secrets (m, t, n)-threshold scheme using overdetermined systems of linear equations defined over finite Galois fields. The scheme provides unconditional security, linear sharing/reconstructing complexities and holds secure verifiability and t-consistence. By considering both secrets and shares as elements over finite Galois fields GF(2r), optimal and space-efficient representation is ensured compared to recent sharing schemes. In addition, the scheme provides dynamic secrets sharing, forgery/cheating detection and robustness against common attacks, while lower computational overhead is required.