Reviewerly/exHarmony huggingface dataset:
DESIGNING ALVO GAME FOR ELEMENTARY SCHOOL STUDENTS

In learning English, there are several skills that should be learned by students such as listening, speaking, reading and writing. The students are expected to be able to master all language skills of English to communicate. In order to communicate there are components that the students must be able to acquire. Vocabulary is important to learn by students. One of ways to learn vocabulary is through a game. An Alvo Game was adapted from Game Guess Image and Scrabble game. The purpose of this study is to make Alvo Game to for elementary school students. The result of this study was a set of Alvo Game consists of plywood in which that there are twenty-nine double of alphabet and thirty pictures. The evaluation showed that it was suitable for elementary school students. By using this game, the students can learn vocabulary in a more interesting and attractive way.
Forecasting Method Could Improve Tsunami Warning

Researchers at Stanford University in California have developed a new method to analyze water pressure at the ocean floor, potentially offering better accuracy in forecasting tsunami wave heights.
LibGuides: Emerging Information Sources for Information Technology Professionals: Google Search Tips

This guide lists sources of emerging information for IT professionals aimed at specific communities and technologies. Suggest a resource by contacting me at email in profile below.
Rationalization Study of Rainfall Station in Singkil Basin

EXTENDED ABSTRACT Singkil Basin, located in Aceh and North sumatera Provinces ( 97°52'12 E and 3°8'24N), is the biggest basin of Alas Singkil Water Basin. The total area of the basin was around 12304,1678 km2. The Basin area is a potential source of water to meet domestic need, raw water and agriculture. Therefore, it is necessary to manage and develop water resources so that the availability of water can always be maintained. Development of water resources requires hydrological data such as rainfall data, discharge data and climate data. The basic of hydrological data is very important as an input in calculating hydrological information that will be used for a development, research and management of water resources. Errors in monitoring basic hydrological data in a Basin will produce incorrect data resulting in inefficient and ineffective results of water resources management. The question is whether the number of rainfall stations has been enough to cover the area, or whether the distribution of rainfall stations meets the minimum requirements. One of the efforts that can be carried out is to conduct a study of the rain station network razionalitation in the Basin Area. Based on the background that has been delivered before, author conclude a goal of the riset namely : Plotting the number of rainfall stations which can cover the entire Singkil Basin Area with a small error rate. The criteria for placing a rainfall station is approached by Kagan Method. The result shown that the minimum number of rainfall station (N) is 16, where minimum relative mean error (z1) =4,77% (z1<5%) and distance of each rainfall station (L) = 30,65 km. Table 1. The value of N , Z1 Z3 L and EN Based on the table above, author select N=40 , Z1= 2,43% and L=18,77 km to be plotted in Kagan’s Triangle as shown in the following image : Figure 1. Kagan Triangle of Singkil Basin After analyzing Kagan triangle of the Singkil Basin, only one station can be sustained , namely Sianjo-Anjo Climatology Station. The other stations ( Gelombang Rainfall Station and Gempang Ranifall Station) should be moved and 38 remaining station should be established in the Singkil Basin, in order to meet good distributon and density of rainfall station. The recommended rainfall station in Singkil Basin is shown in the following table : Table 2. Recommendation of Rainfall Station
CCEHC-Plus: Reemphasis on Soft Clauses in WPMS Problem based on CCEHC

The Weighted MAX-SAT problem (WMS) and Non-weighted Partial MAX-SAT problem (PMS) are two important branches of Maximum Satisfiable Problem (MAX-SAT). The Weighted Partial MAX-SAT (WPMS) problem is a combination of WMS and PMS, which has more important significance in practical applications. In recent years, with the significant breakthroughs of the research on the Configuration Checking (CC) strategy of WMS and PMS problems by Shaowei Cai and others, some advanced solving algorithms such as CCLS [1] and Dist [2] have emerged. On this basis, the CCEHC [3] solving algorithm with the hard clause weighting scheme and biased random walk strategy that specially designed for WPMS instances have achieved more efficient performance. However, the CCEHC solving strategy overly considers the effect of the hard clauses in the solution process. Although the strategies make the solution result closer to the feasible solution, it is difficult to guarantee the optimality of the solution, i.e., minimize total unsatisfied soft clause weight. So, this paper presents an improved CCEHC-Plus solving algorithm based on CCEHC [3]. CCEHC-Plus reconsiders the effect of soft clauses in the solution process and optimizes the original selection strategy in CCEHC. Secondly, during the search steps, the algorithm adjusts the weight of some high-weighted soft clauses which are hard to be satisfied reversibly and optimizes the original weighting scheme. CCEHC-Plus is also optimized for the random walk strategy. A large number of experimental tests show that compared with the CCEHC algorithm, the CCEHC-Plus algorithm can conspicuously improve the quality of the solution in solving industrial and crafted WPMS instances.
Efficient Self-Learning of Photonic Neural Network through Neuroevolution

We propose a novel learning strategy to train the optical neural networks based on neuroevolution. The accuracy of modulation formats recognition reach to 93%, indicating that the proposed method is competitive with other learning algorithms.
Analisis Model Simulasi Berbasis Algoritma Dalam Peningkatan Kompetensi Manajemen Kesiagaan Bencana Perawat Komunitas Kota Surakarta

Background: The Republic of Indonesia is a country that is vulnerable to disasters. Disaster preparedness is an important component in disaster management in order to reduce mortality or morbidity. One component of the community component that plays a role in disaster preparedness is health workers including nurses. The role and competence of disaster management must be considered and enhanced for community nurses to ensure the safety of the community in dealing with disasters starting from the prevention phase, the mitigation phase, the preparedness phase, the emergency response phase and the recovery phase. Algorhythms is an effective method in increasing understanding in a training or simulation.This study was conducted to analyze the effectiveness of the algorithm based algorithm can increase competency of disaster preparedness management in community nurses in the city of Surakarta. Methods: This type of research is a comparative experimental study with a pretest-post test with control group design. The population in this study were all community nurses in the city of Surakarta as many as 110 people. The sampling technique was a total sampling of 97 people (88%). Data is tested by Difference Test. Results: There was an increase in the value of roles and competencies in all groups. Difference in value improvement in the treatment group is (role = 2.56 and competence = 2.76). While the increase in value in the control group is (role = 2.05 and competence = 1.88). Value of P = 0.00. Conclusion: There are significant differences in the value of roles and competencies between the treatment and control groups. Increasing the value of the role and competence of the simulation group with algorithm learning is higher than the control group.
An Analysis of Tendency on New HSK &lt;WritingⅠ&gt; Section (Level 3 to 5): Focusing on the Previous Exam Papers of HSK in 2014 and 2018

This thesis aims to find how amended and changed test syllabus are reflected on the new HSK 〈Writing 1〉 section by levels through comparative analysis of HSK Test Syllabus of Version 2009 and 2015, a known standard for New HSK’s evaluation items, as a means to evaluating the tendency and shift of direction in test questions. The following is the summary of contents revealed so far.BR First, pre-study considered the results of study in Korea and China since 2010 by division into ‘test syllabus,’ ‘test and test instruction,‘ and writing.BR Second, this thesis looked at the makeup and change of parts of speech, sentence elements and system of its patterns by level through comparative analysis of test syllabus between 2009 and 2015 versions.BR Third, this thesis analyzed the question items of 〈Writing Ⅰ〉 section (level 3 to 5) in the previous exam papers of HSK for 2014 and 2018. Specifically, it looked into the current status of substantive and expletive, orthography, sentence pattern, special sentence pattern and complements and then analyzed by comparison the trend of questions and commons and differences between 2014 and 2018 exam papers.BR This thesis also investigated how the changed syllabus items between 2009 and 2015 versions applied to the previous exam papers of 2014 and 2018 with what relevance.BR Lastly, as to the reflection of sentence pattern on test syllabus, noun predicative sentence appeared in remarkably lower distribution, compared to other predicative sentences. Besides, the changed test syllabuses were not properly reflected in ‘corrective,’ comparative, clutching, presence, BA, passive and combining constructions, so this thesis referred to the need for systematic appearance of the aforesaid sentence patterns in the making of test to come. This thesis also suggested a need for reorganizing the complements of degree, direction, consequence and others in the syllabus and test questions due to the unbalanced and biased appearance of complements.
Time-Inconsistent Planning: Simple Motivation Is Hard to Find

People sometimes act differently when making decisions affecting the present moment versus decisions affecting the future only. This is referred to as time-inconsistent behaviour, and can be modeled as agents exhibiting present bias. A resulting phenomenon is abandonment, which is when an agent initially pursues a task, but ultimately gives up before reaping the rewards. With the introduction of the graph-theoretic time-inconsistent planning model due to Kleinberg and Oren, it has been possible to investigate the computational complexity of how a task designer best can support a present-biased agent in completing the task. In this paper, we study the complexity of finding a choice reduction for the agent; that is, how to remove edges and vertices from the task graph such that a present-biased agent will remain motivated to reach his target even for a limited reward. While this problem is NP-complete in general, this is not necessarily true for instances which occur in practice, or for solutions which are of interest to task designers. For instance, a task designer may desire to find the best task graph which is not too complicated. We therefore investigate the problem of finding simple motivating subgraphs. These are structures where the agent will modify his plan at most k times along the way. We quantify this simplicity in the time-inconsistency model as a structural parameter: The number of branching vertices (vertices with out-degree at least 2) in a minimal motivating subgraph. Our results are as follows: We give a linear algorithm for finding an optimal motivating path, i. e. when k = 0. On the negative side, we show that finding a simple motivating subgraph is NP-complete even if we allow only a single branching vertex — revealing that simple motivating subgraphs are indeed hard to find. However, we give a pseudo-polynomial algorithm for the case when k is fixed and edge weights are rationals, which might be a reasonable assumption in practice.
Discrete antiderivatives for functions over Fpn

In the design of cryptographic functions, the properties of their discrete derivatives have to be carefully considered, as many cryptographic attacks exploit these properties. One can therefore attempt to first construct derivatives with the desired properties and then recover the function itself. Recently Suder developed an algorithm for reconstructing a function (also called antiderivative) over the finite field F2n given its discrete derivatives in up to n linearly independent directions. Pasalic et al. also presented an algorithm for determining a function over Fpn given one of its derivatives. Both algorithms involve solving a pn× pn system of linear equations; the functions are represented as univariate polynomials over Fpn. We show that this apparently high computational complexity is not intrinsic to the problem, but rather a consequence of the representation used. We describe a simpler algorithm, with quasilinear complexity, provided we work with a different representation of the functions. Namely they are polynomials in n variables over Fp in algebraic normal form (for p> 2 , additionally, we need to use the falling factorial polynomial basis) and the directions of the derivatives are the canonical basis of Fpn. Algorithms for other representations (the directions of the derivatives not being the canonical basis vectors or the univariate polynomials over Fpn mentioned above) can be obtained by combining our algorithm with converting between representations. However, the complexity of these conversions is, in the worst case, exponential. As an application, we develop a method for constructing new quadratic PN (Perfect Nonlinear) functions. We use an approach similar to the one of Suder, who used antiderivatives to give an alternative formulation of the methods of Weng et al. and Yu et al. for searching for new quadratic APN (Almost Perfect Nonlinear) functions.
El aula invertida como mètodo social de enseñanza en los institutos tecnológicos de la Provincia de Bolivar

The research is focused on the inverted classroom as a method of social education whose objective is to improve the academic performance of the students of the Higher Technological Institutes of the Province of Bolivar, the method is based on the constructivist model in order to innovate in the way to teach, with the purpose of facilitating the teaching-learning processes, having as main ally the multimedia technologies tools as the means that allow the transfer, consolidation and application of knowledge. In addition, the flipped Classroom as its substantial element has the team-collaborative work, whose social purpose is the training of students, responsible, committed, with the capacity for critical thinking that contribute their knowledge to social problems, that is, to be an entity Useful to society. In this context, the inverted classroom is affirmed as a method of social teaching, motivates collaborative, participatory work, encouraging teacher-student interaction. The methodology used in the research is of an exploratory field and bibliographic type, the instruments used to collect the information is the survey.
From ”learning to read” to ”reading to learn”: An analysis of the reading mistakes made by students

Reading literacy is a complex competence that consists of a series of functionally applicable knowledge, skills, attitudes and strategies that the individual gains and uses through formal and informal education and through everyday life. In addition to the skills, which allow the reader to understand individual words and sentences, the backbone of the development of reading literacy is the development of skills and processes that allow them to construct the meaning of the entirety of the text. Mastering these skills paves the way for children to transition from the learning- to-read phase to the reading-to-learn phase, which should take place towards the end of the first cycle of compulsory education. This is why the aim of this study was to explore in detail the difficulties that pupils face at the end of the 4th grade, regarding reading comprehension. The study included 170 pupils from Belgrade. The study was conducted in groups and lasted for one school period. The study used 50 tasks that previous research had shown reliably tested different levels of reading comprehension at the given age. The tasks were divided into six blocks (6 to 9 tasks per block), and each child did two blocks of tasks (incomplete study design). All the incorrect answers were analysed in detail against the type of requirement that the specific task had, and they were classified according to the type of mistake that the child made. The results showed that at the end of the 4th grade a significant number of students had not developed skills that comprise the backbone for reading comprehension, based on which we concluded that their capacity to use reading as a tool of learning and development was somewhat limited.
Design and Fabrication of Economic Motorized Wheelchair

Wheelchair is the device which is mainly used for physically challenged people. In the earlier day’s wheelchair were existed manually and dependent on other person for the mobility. In case a patient who has challenge in using their hands for mobility, then he/she needs another person help for mobility. In the world of Engineering, the Engineers play a vital role in the development of the society and provide comfort in their lifestyle. With this as primary objective our project had evolved the wheelchair with automatic control.
ANALYZING STUDENT’S TEXT WITHIN CRITICAL THINKING, CRITICAL LITERACY, AND APPRAISAL THEORY FRAMEWORKS “DANGERS OF TEXTING WHILE DRIVING”

This paper is entitled "Analyzing Students’ Text within Critical Thinking, Critical Literacy, and Appraisal Frameworks: Dangers of Texting while Driving ", where in this paper analyze from a text that has to think critically (critical thinking) and a critical framework (Critical Literacy Framework). Analysis is the process done carefully by dividing the problem with through the technical application of analysis and the application of appropriate knowledge. In Critical thinking is a process that involves mental operations such as induction, deduction, classification, and reasoning. In the process of thinking takes place the events analyzed, criticized, and reached conclusions based on careful inference or consideration (Ibrahim and Nur, 2000). This critical activates the ability to do analysis, as well as identify questions that can be text.Keywords: analysis, critical thinking, critical literacy, appraisal, frameworks
The concepts information and communication: perspectives from the academic communities of information, communication and computer engineering sciences

Abstract We present an exploratory research that took place between 2013 - 2015, focusing on the perceptions regarding Information and Communication of fourteen PhD investigators, in two interdisciplinary centers in Brazil and Spain. This research is part of a new line of investigation initiated in 2014 by the Research Group: The concepts ‘Information’ and ‘Communication’ from the perspectives of several disciplines (Communication, Information Science and Computer Engineering) - CIC, in the Faculty of Information and Communication (FIC) of the University of the Republic, Uruguay. The dimensions of analysis defined to study the perceptions of the academicians are: academic formation, approaches to the Information and Communication concepts; similarities and differences between such concepts and theoretical references. The research strategy is based upon qualitative methods focused on in-depth interviews with qualified informants. Interviews were recorded in Spanish and Portuguese and transcribed into Spanish. A qualitative analysis was conducted by means of systematic techniques including content analysis of the discourse as well as reading and interpretation of the content which was presented in the corpus of the interviews. The perceptions of the academicians were categorized according to the disciplinary fields to which they belonged. General and specific conclusions about tendencies are presented, both supporting the need to promote reflection and debate in the interdisciplinary scientific community, focusing on the concepts of Information and Communication.
UPAYA MENINGKATKAN PRESTASI BELAJAR READING DENGAN MODEL PEMBELAJARAN KUANTUMPADA SISWA KELAS XII IPA 7 SEMESTER 2 SMA NEGERI 2 DENPASAR TAHUN AJARAN 2017/2018

This research was carried out in Denpasar Public High School 2 in Class XII IPA 7, where students' learning achievement for reading material was quite low. The purpose of writing this class action research is to find out whether the Quantum Learning Model can improve student learning achievement. The data collection method is a learning achievement test. The data analysis method is descriptive. The results obtained from this study are Quantum learning models can improve student learning achievement. This is evident from the results of the learning completeness percentage obtained initially at 26.19%, in the first cycle it became 76.19% and in the second cycle it became 90.48%. The conclusion obtained from this study is that Quantum learning models can improve learning achievement.
A new reconfiguration mechanism of bio-inspired self-repairing hardware based on variable neighborhood search algorithm

The bio-inspired self-repairing hardware greatly enhances the reliability of the circuit by endowing the circuit with the self-repairing property similar to that of the biological tissue, so it has broad application prospects. In order to overcome the shortcomings of current bionic self-repair hardware, such as not flexible enough, low utilization of spare cells, and insufficient consideration of wiring resource overhead and self-repairing time. This paper proposes a reconfiguration mechanism based on variable neighborhood search algorithm, which can restore the array function to normal only by changing the faulty electronic arrays in a small scale. At the same time, it can make full use of the spare cells in the array, and maintain a better wiring resource overhead and self-repairing time within a certain number of faulty cells.
ScaDO Net

Segmentation of neuroanatomy based on fully convolutional networks (FCNs) has been proven to be powerful in numerous medical applications with excellent performance. However, the lack of annotated data and the inconsistency between different datasets make it difficult in training a deep network model for brain segmentation. In this paper, we propose a 3D patch-wise based model to learn the brain segmentation, namely ScaDO net (Scaffold-Dense-Octave net). This scaffold-like net is designed by Scaffold blocks to perform the 3D patch-wise brain segmentation task. Even with more than one hundred convolution layers, the number of parameters and FLOPs (Float Point Operations) are strictly controlled by a set of well-defined hyperparameters. Furthermore, the octave convolution is incorporated into the ScaDO net to reduce the FLOPs and keep the number of parameters. To give reasonable suggestions in practical applications, we have conducted ablation studies about FLOPs-DICE trade-off, which showed that setting appropriate hyperparameters would achieve a high DICE value with relatively small FLOPs. Compared with the state-of-the-art methods, the experimental results on different heterogeneous brain datasets have demonstrated that the proposed ScaDO net can achieve an accurate brain segmentation, even for small and delicate subcortical structures. With over one hundred convolution layers, the proposed method has as shorter than 40s for per MRI volume.
Design conditions for the land mobile robot to climb a step

We studied conditions for land mobile robot to climb a step. Climbing a step depends on whether the center of gravity of the robot can pass through the step boundary surface. The condition of the climbing a step and the condition on the step were described.