Reviewerly/exHarmony huggingface dataset:
Penerapan Algoritme Genetik Untuk Seleksi Peubah Regresi Logistik

In a study, interaction factors are the potential to have important effects on the response variable. But research involving interaction factors often encounters two problems, namely the excessive number of variables and the difficulty of implementing the heredity principle. The alternative solution is to do variable selection using a metaheuristic optimization method, In this study, the logistic regression variable selection was done using a genetic algorithm. The genetic algorithm is modified so that every independent variable has a different probability to be included in the model. That probability is based on the absolute value of the correlation of the independent variable with the response variable. These modifications have a positive effect on the results of variable selection. To choose significant independent variables, 30 repetitions of the genetic algorithm can be performed using the objective function AIC. Of the 30 repetitions, if a variable appears in all formed models, then the variable is an independent variable that has a significant effect on the response variable. The application of this method to Myopia data can show significant variables well.
ETHICAL CONSIDERATION OF SUICIDE AND ITS IMPLICATIONS TO CHILDHOOD EDUCATION

There is an underlying element in the myriads of activities that humans perform on daily basis; namely, the quest to sustain life. Human life is one precious gift from God around which all other gifts revolve. To justify that life is central to all human pursuits, people often say: ‘where there is life, there is hope.’ Classically, the natural tendency in man to seek happiness and to avoid pain, to refrain from danger and to seek peace, to seek comfort and to avoid discomfort, and above all, to fear death and to embrace life, suggests that life, by all standards of consideration, is enrobed in a garment of expediency. Unfortunately, some humans tend to wilfully take away their lives on their own authority in a manner that tends to suggest that that is the best solution to the vicissitudes of life. This is known as suicide. Proponents and opponents of this action hold on to their varied views about life and how an individual can handle life independent of any external influence. Meanwhile, suicide, as such, has many implications to childhood education, the seriousness of which this paper tries to expose. The study adopted a qualitative design. The methods used were historical, descriptive and critical. In these methods, related literatures on suicide were sourced, the meaning of suicide exposed, and the concept of suicide evaluated respectively. This study tried to establish that suicide in itself is ethically wrong and perhaps has many implications to childhood education. The work therefore recommends that in their homes, among their peer groups, and in the schools, children should undergo an orientation about the importance of life beyond any other value in life. This will unnerve the practice of suicide as seen in the present day society.
Intensional Datatype Refinement

The pattern-match safety problem is to verify that a given functional program will never crash due to non-exhaustive patterns in its function definitions. We present a refinement type system that can be used to solve this problem. The system extends ML-style type systems with algebraic datatypes by a limited form of structural subtyping and environment-level intersection. We describe a fully automatic, sound and complete type inference procedure for this system which, under reasonable assumptions, is worst-case linear-time in the program size. Compositionality is essential to obtaining this complexity guarantee. A prototype implementation for Haskell is able to analyse a selection of packages from the Hackage database in a few hundred milliseconds.
Data Mining by Evolving Agents for Clusters Discovery and Metric Learning.

In this paper we propose a novel evolutive agent-based clustering algorithm where agents act as individuals of an evolving population, each one performing a random walk on a different subset of patterns drawn from the entire dataset. Such agents are orchestrated by means of a customised genetic algorithm and are able to perform simultaneously clustering and feature selection. Conversely to standard clustering algorithms, each agent is in charge of discovering well-formed (compact and populated) clusters and, at the same time, a suitable subset of features corresponding to the subspace where such clusters lie, following a local metric learning approach, where each cluster is characterised by its own subset of relevant features. This not only might lead to a deeper knowledge of the dataset at hand, revealing clusters that are not evident when using the whole set of features, but can also be suitable for large datasets, as each agent processes a small subset of patterns. We show the effectiveness of our algorithm on synthetic datasets, remarking some interesting future work scenarios and extensions.
Business Intelligent Implementation of National Park Visitors in West Java and Central Java

Business Intelligence is currently a solution or method in solving problems related to data, especially databases. Business Intelligence is able to read very large and large data into several group variables required by its users. BI is also able to make data very dynamic and informative, so that the data displayed can make it easier for its users according to the data needs in the field. In this study, the data taken is the National Park visitor data with the subject of the visitors. The presence of this Business Intelligence is expected to be a solution in solving the data problems of visitors who are increasing and piling up every day. The algorithm used in this case is the clustering algorithm or the k-means algorithm, then the steps in the research phase carried out are to carry out field analysis and data from various basecamp points according to the needs of field data, both transportation facilities to geographic location. The system built in processing this data is a web analysis by combining the programming language PHP, JQuery, CSS, HTML, Bootstrap 4, JavaScript, with the MySQL database and the Codeighniter 3 framework. The results show that Business Intelligence can be a solution in mapping movements mass of visitors to the national park from various regions so that it can facilitate various parties in dealing with and overcoming events that occur in the National Park area
Utilizing learner language to craft well–targeted endorsements in English language teaching practices

Learning a foreign language for those who have their first and second language often puts learners in imperfection mastery such as irrelevant lexical choice, and source cultural bounds language utterances. Knowing the concepts merely cannot guarantee the process of avoiding mistakes or errors that learners have. There has been an amount of research on learner language which focuses on language corpus but little on highlighting the research specific language components grammatically contributing to language learnersâ€™ competence. Therefore, to fill the void, this study aimed at scrutinizing and yielding information on the practical way of phenomena in Indonesiansâ€™ interference by knowing the studentsâ€™ feature descriptions of language competence. In this research, a guided interview was used to sub-ethnic of Banjarese which covered several Banjar Kuala and Banjar Hulu pre-service English teachers in getting the data of this study.Â  The findings reveal language problems in lexical aspect, semantic confusion, incorrect use of word-formation pattern, prepositional misuse, and problems in language syntax and discourse.Â  The implication of this study calls for recommendations to adopt techniques in mitigating suggested learner language in the area of subject-verb concord, tenses, and lexical problems in a process of language development
LibGuides: Library Support for Online Instruction: Home

This guide provides information on how Idaho State University libraries supports faculty who teach online courses.
Sparse representation based intraframe and semi‐intraframe video coding schemes for low bitrates

This paper proposes some extensions of the successful sparse coding of still images to intraframe and semi-intraframe video coding. The presented frameworks apply the efficient K-singular value decomposition and recursive least squares dictionary learning methods for sparse representation of videos to study their coding performances. In the proposed semi-intraframe schemes, namely, SISC1 and SISC2, only frame-blocks with more than a threshold deviation from the blocks of the previous frame are transmitted/coded. This reduces the required bitrate and prevents the sparse coding of similar blocks, leading to more efficient video coding methods. The results show that the dictionary learning-based intraframe coding improves the rate-distortion performance of the conventional Motion-JPEG and Motion-JPEG2000 at low bitrates for more than about 3 and 0.5 dB of PSNR on average (for 0.2–1 bpp compression), respectively. The proposed methods outperform the basic dictionary learning-based coding, especially for slower changing videos, generally, with more than 3 dB superiority on average over the tested bitrates. These schemes even present superior performance than the HEVC in the intramode for the complex textured or cluttered scenes. The proposed SISC2 method also saves up to about 50% of the sparse coding computational cost by preventing the coding of more similar frame-blocks.
Multiply, Divide, and Conquer – Making Fully Decentralised Access Control a Reality

This paper tackles the issue of access control in fully decentralised systems. Previously, access control always fell back to some degree of centralisation. Our work approaches this problem by outsourcing access policy evaluation to the millions of trusted computing bases already deployed in the form of current Android devices. This assures correct policy evaluation to both data owners and those seeking data access. In essence, our solution encrypts to-be-shared data, splits and wraps the encryption key, and cryptographically binds it to an access policy. Policies are evaluated by freely selectable evaluators, that do not need to be enrolled beforehand. Evaluators then interface with attribute providers during policy evaluation. Each evaluator independently reaches a conclusion about whether or not to grant access, leading to a decision by majority vote. We designed this system with practicality and real-world applicability in mind, meaning that it can be deployed and used today. We achieve this by relying on efficient primitives and foregoing expensive cryptographic constructions, making it possible to define even highly complex access policies. Overall, this presents a clear advantage over previous concepts.
The phonology and noun morphology of Yi Kitʊlɛ, an Adamawa language of East-Central Nigeria

The paper describes the phonology and nominal morphology of KItʊlε, an Adamawa language of the Tula-Waja group, spoken in East-Central Nigeria. KItʊlε has a restricted consonant inventory, marked by a loss of voicing contrast in most consonants. It has a system of ATR vowel harmony, which has begun to erode in many lexical items. There are three level tones plus rising and falling glides. The underlying system of nominal number marking is suffix alternation as with the other languages in the group, but this has undergone numerous alterations, in part due to the addition of prefix alterations, and fossilised suffixes which have been incorporated into the stem. Some of these then appear as infixes, although this is not the underlying system. A note on demonstratives is appended, which shows that these are not directly concordial, but which have a broad semantic logic.
텍스트 장르에 따른 양보관계 접속표현의 한중 번역 연구 -접속어미 ‘-아도’를 중심으로-

For high-quality translations, the key is to achieve textual equivalence between source language and target language. To achieve this, it is important to address the linguistic differences between languages. However, more factors should be taken into consideration. This paper proposes that language characteristics based on genre are important factors in the process of translation. With this in mind, this paper analyzes the translation patterns of the Korean concessional conjunctive endings ‘-ado’, comparatively with regards to genres, in fiction and biography, specifically. In doing so, the similarities and differences in choosing translation methods according to genres will be demonstrated. According to the existing analysis of text corpus, literal translation using Chinese conjunctive expressions is most often found in both fictions and biographies. However, fictional texts tend to be more literal than biographies. of the free translation methods can be observed in target texts of the two genres. Nevertheless, text types and styles generate significant differences: In fictions, the strategy of employing conjunctive expressions with other semantic relationships and the strategy of restructuring have more diverse patterns; whilst in biographies, the strategy of using Chinese sentence components is more flexible.
Applying Circle Game to Enhance Students’ Speaking Skill

This Collaborative Classroom Action Research aimed at enhancing students’ speaking skill through the application of Circle Game. It was conducted in one cycle consisting of two meetings. The subject was the seventh of C class of SMPN 2 Alas Barat consisting of 22 students. The types of data were qualitative (acquiring observation during the learning process) and quantitative (speaking tests). The results qualitatively showed that the implementation of Circle Game enhanced the students’ speaking skills. Such improvement could be seen from their enthusiasm, their interesting feeling in various materials presented by the teacher, their active involvement. In the quantitative findings, the result also showed a higher value of the mean score of the post-test (77.34) rather than the pre-test (75.75). In conclusion, the use of Circle Game can improve students’ speaking skill.
Application of online presence and recommendations of students that have a low value using the multi-objective optimization method on the base of ratio analysis

Abstract As the age of a person makes it easily infected with a disease such as diabetes. In this case, food from a person with a disease must eat food that corresponds to the nutrients needed to reduce the sufferer’s blood sugar levels. Based on the problem, there is a combination of food system to help diabetics in arranging meals according to the sufferers criteria. This system requires criteria for the manufacture of food combinations and using the genetic algorithm method to produce the best alternative of food combinations for diabetics. The result of a combination of food is taken based on chromosome efficiency of genetic algorithm. Accuracy calculation method of genetic algorithm reaches 100% by comparison with manual calculations of the 5 test cases that have been made. From these results can be concluded that the application of the genetic algorithm method is sufficient to help diabetics in the manufacture of food combinations that match the criteria of the sufferer.
Neural RST-based Evaluation of Discourse Coherence.

This paper evaluates the utility of Rhetorical Structure Theory (RST) trees and relations in discourse coherence evaluation. We show that incorporating silver-standard RST features can increase accuracy when classifying coherence. We demonstrate this through our tree-recursive neural model, namely RST-Recursive, which takes advantage of the text’s RST features produced by a state of the art RST parser. We evaluate our approach on the Grammarly Corpus for Discourse Coherence (GCDC) and show that when ensembled with the current state of the art, we can achieve the new state of the art accuracy on this benchmark. Furthermore, when deployed alone, RST-Recursive achieves competitive accuracy while having 62% fewer parameters.
Distributed Content Communication Architecture for the Development of Aerocity Area

The content distribution and retrieval efficiency are needed to have a business process flow. Several conditions are often a problem in a communication network, so an effort is required to provide architectural models that meet the required needed, especially in the Aerocity area. Therefore, content distribution and retrieval architecture are needed through communication networks that match the characteristics of the Aerocity area, which are generally divided into clusters, ranging from airport clusters, housing, commercial businesses, and others. Research that deals explicitly with this field is still not widely available. This paper aims to discuss the distribution and retrieval model of content that can be developed using a distributed system approach. Besides, this paper will provide a review of previous studies and propose architectural models.
Tonewoods: at the crossroads between wood physics and craftsmanship knowledge

“Tonewoods” could be primarily defined by their historical processes of selection – and current processes of choice – by instrument makers. Yet, understanding the causes underlying these selection processes, as well as some consequences resulting from these choices, calls for a wide span of disciplines. In this talk, I will present a possible methodology to bridge the craftsmanship uses and knowledge of tonewood, together with wood science (in the wide sense of the term) and some insights from social sciences and humanities. The proposed methodology is organised in 5 steps that form a “loop”: (1) Surveys with artisans to collect wood knowledge and encountered issues; (2) Identification of underlying physical-mechanical phenomena; (3) Exploration of the diversity and variability of wood species and properties; (4) Physical-mechanical consequences of processes and treatments used in craftsmanship; (5) Analysis of the sensory perception of wood variability and properties by its expert users. After an introduction to the basics of wood physics, the different steps of this transdisciplinary methodological approach will be illustrated by an array of research, grounded upon analytical review of literature of the past decades, and continued by research we recently conducted on wood uses by musical instrument makers, with a focus on luthiers of string instruments, and occasional illustration from other organological families.
Festschrift Honoring Academian Mihai Drăgănescu: Discourse on the Physical Basis for “the Philosophical Tension and the Cosmic Feeling”

Wouldn’t it be nice if this auspicious occasion were of a 76th; instead of a 75th, then it might be pertinent to enjoy Meredith Willson’s well known march from The Music Man - “Seventy-six Trombones Led The Big Parade”. Intellectually I try to hold the reigns firm, but my heart will not help and the spirit is set free to soar at the circumstance of this wondrous occasion; because you see this is a cosmic feeling that I have and I do not wish to control it! So for a brief moment at least liberty is taken from the sensibilities of conservative protocol to enjoy the refrain: Seventy-six trombones led the big parade, With a hundred and ten cornets close at hand. They were followed by rows and rows, Of the finest virtuosos, The cream of every famous band. Seventy-six trombones caught the morning sun, With a hundred and ten cornets right behind. There were over a thousand reeds, Springing up like weeds, There were horns of every shape and size. There were copper bottom timpani in horse platoons, Thundering, thundering, all along the way. Double bell euphoniums and big bassoons, Each bassoon having its big fat say. There were fifty mounted canons in the battery, Thundering, thundering, louder than before. Clarinets of every size, And trumpets who'd improvise A full octave higher than the score! Seventy-six trombones hit the counterpoint, While a hundred and ten cornets blazed away. To the rhythm of Harch! Harch! Harch! All the kids began to march, And they're marching still right today! Seventy-six trombones led the big parade, when the order to march rang out loud and clear. Starting off with a big bang bong on a Chinese gong, by a big bang bonger at the rear. Seventy-six trombones hit the counter point, while a hundred and ten cornets played the air. Then I modestly took my place as the one and only bass, and I oompahed up and down the square.
BASIC PRINCIPLES IN SPATIAL DEVELOPMENT OF MAIN FACILITIES FOR NEXT-GENERATION RESEARCH AND EDUCATION COMPLEXES

The main functions of an educational complex and their localization in urban context are reviewed. Along with principles underlying the development of research and education centers, the article formulates principles employed in creating media information centers, innovative technology centers and other typological objects to be found in research and education clusters.&#x0D; Public space is investigated in terms of social comfort. The main principles underlying the formal compositional structure of research and education complexes are classified based on the geometry of the latter. Several types of formal composition modeling of objects within such complexes are identified.
L’algoritmo tra volontà e rappresentazione

The present article deals with some theoretical issues concerning human and A.I. bias. Algorithm is supposed to be a means to prevent biased/not objective decisions. Nevertheless, we experience on the daily basis that human interaction (and even “irrationality”) must always occur in determining a judicial decision. This “irrationality” sometimes avoids and sometimes provides justice.Keywords: Algorithm; Trial; Bias; Discrimination.
FACTORS AFFECTING STUDENTS IN LEARNING ENGLISH LANGUAGE

This final project was conducted to investigate the problems faced by student in learning English language. This study was conducted to the tenth graders of SMA Islam Sultan Agung 1 Semarang, which is located in Jl. Mataram No.657 Semarang, Central Java, Indonesia. The objectives study were to find the factors hindering the students in learning English language. Design of this project belong to descriptive study. The data were collected through the observations and interviews. Result in the study showed there are several factors to hinder students in term of developing their language skills;Motivation, prior knowledge and skills of the target language, facilities, and class environment. The study revealed that the factors have potentially decreased the quality of learning and so progress of learning was considered slow. In order to improve the recent process of learning, the study encourages the involment of both teachers and school officials in fixing the problems. Improvement can start from, yet not limitted to revisiting the course design and supervising the process of learning as well as updating pedagogical and professional competences of English teacher.  Keywords: F actors Affecting Students in Learning English, Senior High School Students, Descriptive Study
Bayesian Linear Regression on Deep Representations

A simple approach to obtaining uncertainty-aware neural networks for regression is to do Bayesian linear regression (BLR) on the representation from the last hidden layer. Recent work [Riquelme et al., 2018, Azizzadenesheli et al., 2018] indicates that the method is promising, though it has been limited to homoscedastic noise. In this paper, we propose a novel variation that enables the method to flexibly model heteroscedastic noise. The method is benchmarked against two prominent alternative methods on a set of standard datasets, and finally evaluated as an uncertainty-aware model in model-based reinforcement learning. Our experiments indicate that the method is competitive with standard ensembling, and ensembles of BLR outperforms the methods we compared to.
Subject Guides: Kanopy: For Faculty: Requesting Titles and Sharing Videos

This guide is used to assist City Tech users on accessing and requesting videos through the library's subscription to Kanopy.