Reviewerly/exHarmony huggingface dataset:
English Competence of Generation Z: A Study at IAIN Kudus

Abstract. Industrial revolution 4.0 era which is also called as disruptive era gives many benefits for several aspects especially in education. It becomes easier for the teacher to use any kinds of media for teaching English and for the students to find English materials by themselves. The recent students of English Education Department IAIN Kudus belong to generation Z students. As generation Z students who live in 4.0 era, they are able to access many kinds of information or knowledge and improve their English competences from any resources easily. This paper aims to identify the way of the generation Z learn English, the difficulties encountered by them in learning English, and the solutions or suggestions to overcome the difficulties. This study employed mixed methods research. In conducting this research, the researchers used observation, open-ended questionnaire and documentation to collect the data. The participants were 39 students of English Education Department at IAIN Kudus. The results showed that 60% students use gadgets to study English, 15% use books, and 25% use both of them. Meanwhile, 50% students have difficulties in speaking, 10% in listening, 6% in reading, 17% in writing, and 17% in those four competences. Some solutions or suggestions were revealed to resolve the difficulties. The solutions were extended for each language competence.Keywords: English Competence, Generation Z, IAIN KudusAbstrak. Era revolusi industri 4.0, yang juga dikenal dengan era disruptif, memberikan banyak keuntungan dalam berbagai aspek khususnya dalam pendidikan. Hal ini akan memudahkan guru untuk menggunakan berbagai jenis media untuk mengajar Bahasa Inggris dan juga bagi mahasiswa untuk mencari materi Bahasa Inggris sendiri. Mahasiswa jurusan Bahasa Inggris IAIN Kudus juga termasuk mahasiswa generasi Z. Sebagai mahasiswa generasi Z yang tinggal di era 4.0, mereka mampu mengakses berbagai macam informasi atau pengetahuan untuk memperbaiki kompetensi mereka dari berbagai sumber dengan mudah. Paper ini bertujuan untuk mengidentifikasi cara bagaimana generasi Z belajar Bahasa Inggris, kesulitan-kesulitan yang dihadapi mereka, dan solusi atau saran untuk menghadapi kesulitan tersebut. Penelitian ini menggunakan metode campuran (mixed methods), dan dalam mengumpulkan data penulis menggunakan teknik observasi, kuesioner, dan dokumentasi. Peserta penelitian ini adalah 39 mahasiswa jurusan Bahasa Inggris IAIN Kudus. Hasil menunjukkan bahwa cara mereka belajar 60 % menggunakan gawai, 15 % menggunakan buku, dan 25 % menggunakan dua-duanya. 50 % mahasiswa mengalami kesulitan dalam berbicara Bahasa Inggris, 10 % mendengarkan, 6 % dalam membaca, 17 % dalam menulis, dan 17 % mengalami kesulitan dalam keempat-empatnya. Beberapa solusi ditawarkan untuk menghadapi masalah tersebut, terutama di masing-masing keahlian berbahasa.Kata kunci: kompetensi bahasa Inggris, generasi Z, IAIN Kudus
Approximating LCS in Linear Time: Beating the $\sqrt{n}$ Barrier

Longest common subsequence (LCS) is one of the most fundamental problems in combinatorial optimization. Apart from theoretical importance, LCS has enormous applications in bioinformatics, revision control systems, and data comparison programs. Although a simple dynamic program computes LCS in quadratic time, it has been recently proven that the problem admits a conditional lower bound and may not be solved in truly subquadratic time. In addition to this, LCS is notoriously hard with respect to approximation algorithms. Apart from a trivial sampling technique that obtains a $n^{x}$ approximation solution in time $O(n^{2-2x})$ nothing else is known for LCS. This is in sharp contrast to its dual problem edit distance for which several linear time solutions are obtained in the past two decades.
The importance of interpersonal relationships in pre-school children to promote learning using the NAO Robot

The present investigation forms part of the multiple options that can be worked with preschool children to favor their learning in each one of them, taking as a reference interpersonal relations and using the technology with the NAO Robot. In addition, it shows how to link teaching strategies, collaborative work, innovation and technology for the improvement of learning. To promote interpersonal relationships, a work plan was designed divided into three modules with certain planned activities, which were supported both by the teacher in charge of the group and the robot, it should be mentioned that the robot's programming was carried out by software engineering students from the Universidad Politécnica de Amozoc, Puebla. The general objective is to make a plan of activities using technology to promote interpersonal relationships in children and thus improve their learning. Interpersonal relationships are marked by an atmosphere of friendship, respect, understanding, listening and affection; aspects that undoubtedly increase the learning, self-esteem and sense of belonging of children.
THE IMPLEMENTATION OF ORAI APPLICATION IN TEACHING SPEAKING TO SENIOR HIGH SCHOOL STUDENTS

In this era, speaking is really important for us because English is international language. In Indonesia, most of students especially in senior high school are difficult to speak up because they are shy and they are not confident. In this era there are a lot of media for teaching, but sometimes people do not know how to use it. Many media can help teacher to teach speaking, like application in our phone. Orai is one of applications that can help teacher in teaching speaking and this application is easy to use. Therefore this study is aimed at finding out: (1) The implementation of Orai application in teaching speaking; (2) The obstacles of using Orai application in teaching speaking; and (3) Students’ response in implementing Orai application. This is a descriptive qualitative study. This study was conducted in a Senior High School in Cianjur, the participants were an English teacher and twenty eight students of the eleventh grade at social class 1 selected purposively. The instruments on this research cover classroom observation, guided interview, and open ended questionnaire. The data from those instruments were transcribed and categorized accordingly. The findings show that the teacher applied several main steps in using Orai application: introducing the application, explaining the purpose of Orai application in teaching speaking, downloading and installing the application, practicing speaking by using Orai application and getting feedbacks from the application. The application helps the teacher by giving instant feedbacks such as clarity, total filler words, pausing score, and energy score. In this case the students were enthusiastic when the teacher implemented the application. However, the students face some obstacles in speaking by using Orai application: the signal should be stable and good, students less confidence, students’ low mastery on operating Orai application and students confusion because the feedback was full in English. Even though there were some obstacles, the students gave a good response because the students more active and enthusiastic when the teacher implemented Orai application in teaching speaking. Keywords: Speaking skill, Orai application, Senior High School, qualitative, obstacles
Tractor-trailer Path Generation for Long Cargo Shipment through Inclined Ramp

Roll-on and roll-off (Ro-Ro) ship is the most economical transporting method for large freights such as train, helicopter, and aircraft body. To ship a large freight to a designated location on deck of Ro-Ro ship, tractor is used to pull a trailer with a connecting link of goose neck shape, on which the freight is secured. When the freight is long enough, the trajectory of trailer is not same as that of trailer and is a three dimensional path, which can cause any collision with ramp, gate, and obstacles in the deck. This research proposes a method of calculating possible trajectories to drive a tractor, along which does not cause any collision. Assuming reasonably low speed of a tractor, the proposed method generates possible tractor paths based on Bezier curve to calculate the trailer path considering tilt of tractor and trailer when they go up the inclined ramp. Finally, it calculates the best three paths without any collision in order of priority with minimum shipping time. The proposed method can be useful for the transport company to determine the shipping possibility as well as to generate driving order for a tractor driver.
Recent Perspectives on Quantum Annealers

We will review the principles and applications of recently developing quantum annealers represented by D-Wave machines, and discuss the applicability to material materials science.
DEPP - Differential Evolution Parallel Program

Optimization is a mathematical problem often found in science and engineering.Currently, however, there is no general method to face this problem.Solutions are generally addressed by two approaches, both iterative: (a) quasi-Newton methods (Griva, Nash, & Sofer, 2009) and (b) heuristic methods (Coley, 1999;Feoktistov, 2006).Each one has advantages depending on the problem to be optimized.Quasi-Newton methods, in general, converge faster then heuristic methods provided the function to be optimized (the objective function) is smooth.Heuristic methods, on the other hand, are more appropriate to deal with noisy objective functions, to handle failures in the calculation of the objective function and are less susceptible to be retained in local optimum than quasi-Newton methods.Among the heuristic methods, Differential Evolution (DE) (Price, Storn, & Lampinen, 2005; Storn & Price, 1997) had emerged as a simple and efficient method for finding the global maximum.This method is based on the principles of biological evolution.To combine the robustness of heuristic methods with the high convergence speed of quasi-Newton methods, Loris Vincenzi and Marco Savoia (Vincenzi & Savoia, 2015) proposed coupling Differential Evolution heuristic with Response Surfaces (Khuri & Cornell, 1996;Myers, Montgomery, & Anderson-Cook, 2009).Fitting Response Surfaces during optimization and finding their optima mimics quasi-Newton methods.The authors showed that this approach reduced significantly the effort to solve some problems within a given tolerance (in general, more than 50% compared to the original heuristic method).
Giving Commands to a Self-driving Car: A Multimodal Reasoner for Visual Grounding

We propose a new spatial memory module and a spatial reasoner for the Visual Grounding (VG) task. The goal of this task is to find a certain object in an image based on a given textual query. Our work focuses on integrating the regions of a Region Proposal Network (RPN) into a new multi-step reasoning model which we have named a Multimodal Spatial Region Reasoner (MSRR). The introduced model uses the object regions from an RPN as initialization of a 2D spatial memory and then implements a multi-step reasoning process scoring each region according to the query, hence why we call it a multimodal reasoner. We evaluate this new model on challenging datasets and our experiments show that our model that jointly reasons over the object regions of the image and words of the query largely improves accuracy compared to current state-of-the-art models.
A Comparative Analysis of the Use of Expressions of Gratitude between Seniors and Juniors among College Students in Korea and Japan

The aim of this study is to conduct a comparative analysis on the daily use of expressions of gratitude among college students in Korea and Japan and identify their differences or distinctive features in an effort to examine them from a psychological perspective.More specifically, this study focuses on the students with a senior-junior relationship, their interaction involving the expressions of gratitude, and what it reveals about their psychological state.For the purpose of obtaining data, two groups of 14 college students, in Korea and Japan respectively, were provided with a scenario where a junior student received assistance from a senior.The subjects were then surveyed using the Psychological Test and Discourse Completion Test.The findings of the survey are summarized as follows: First, a significantly higher percentage of Korean students (77.3%) answered they "felt grateful toward their seniors" than their Japanese counterparts, and the most commonly used expression in Korean was 'Thank you'.About 51.9% of Japanese students said they felt grateful, and 29.5% of them answered they felt sorry.With regard to the expressions, two of the most frequently used were 'Thank you' and 'I am sorry', respectively.Secondly, it turned out that the Korean students were using expressions of 'offering' something, such as meal or coffee, on a daily basis as a token of appreciation in the form of 'To buy (a meal or tea)'.On the contrary, none of the Japanese students said they were using 'To buy (a meal or tea)' or its equivalent to express their gratitude.Thirdly, only 1.7% of the Korean students agreed to the statement "I think I caused a trouble to my senior", whereas the number skyrocketed to 14% among the Japanese participants.
Publication Trends by Indonesia and Malaysia Affiliated Researchers About Public Policy, Technology, and Economics

This paper aims to investigate the number of research articles authored by Indonesia and Malaysia affiliated researchers about three issues, namely, public policy, technology, and economics. We focus on articles indexed by Scopus in the ten year period 2010-2019. We obtain that Indonesia affiliated researchers are less productive from the beginning of the period. At the end of the period, Indonesia affiliated researchers produce more number of articles published internationally for public policy, technology, and economics issues. Furthermore, in total for any topics at the end of the period, Indonesia affiliated researchers publishes more articles. However, if we observe the number of published research articles with respect to the number of population, Indonesia’s is still left behind Malaysia’s.
Towards Semantic Segmentation Using Ratio Unpooling

This paper presents the concept of Ratio Unpooling as a means of improving the performance of an Encoder-Decoder Convolutional Neural Network (CNN) when applied to Semantic Segmentation. Ratio Unpooling allows for 4 times the amount of positional information to be carried through the network resulting in more precise border definition and more resilient handling of unusual conditions such as heavy shadows when compared to Switch Unpooling. Applied here as a proof-of-concept to a simple implementation of SegNet which has been retrained on a cropped and resized version of the CityScapes Dataset, Ratio Unpooling increases the Mean Intersection over Union (IoU) performance by around 5–6% on both the KITTI and modified Cityscapes datasets, a greater gain than by applying Monte Carlo Dropout at a fraction of the cost.
LibGuides: Library Closure FAQ: Research Guides

This guide will help you navigate library services, answer frequently asked questions, and get help while the school is closed.
Android-based member card “DigiCard” storage application

Abstract The purpose of this research is to develop mobile application that can store cards to digital form base on Android, that being used by user which have member card as a media to getting rid from the card being damaged or stolen. In the making of this application, literature review and questionaire are being used as data colletion methodology and extreme programming is being used as research methodology. The goals in making this application is the application can store a physical card into digital form, scan barcode from member card, show realtime promo, online registration, and showing nearest retail location using Android Studio with Java programming language. The conclusion of this research is, this application can help the user as media to avoid careless user in using the card in physical form.
Multi-task Collaborative Network for Joint Referring Expression Comprehension and Segmentation

Referring expression comprehension (REC) and segmentation (RES) are two highly-related tasks, which both aim at identifying the referent according to a natural language expression. In this paper, we propose a novel Multi-task Collaborative Network (MCN) to achieve a joint learning of REC and RES for the first time. In MCN, RES can help REC to achieve better language-vision alignment, while REC can help RES to better locate the referent. In addition, we address a key challenge in this multi-task setup, i.e., the prediction conflict, with two innovative designs namely, Consistency Energy Maximization (CEM) and Adaptive Soft Non-Located Suppression (ASNLS). Specifically, CEM enables REC and RES to focus on similar visual regions by maximizing the consistency energy between two tasks. ASNLS supresses the response of unrelated regions in RES based on the prediction of REC. To validate our model, we conduct extensive experiments on three benchmark datasets of REC and RES, i.e., RefCOCO, RefCOCO+ and RefCOCOg. The experimental results report the significant performance gains of MCN over all existing methods, i.e., up to +7.13% for REC and +11.50% for RES over SOTA, which well confirm the validity of our model for joint REC and RES learning.
pyGOURGS - global optimization of n-ary tree representable problems using uniform random global search

Global optimization problems are ubiquitous to engineering and the sciences.Many such problems are not amenable to analytical techniques and examinations of some potential solutions for these problems often suggest that hill-climbing algorithms would be unable to navigate the jagged and confusing terrain.Despite this, genetic programming is often applied to these problems in the hopes that it will be able to identify high-quality solutions.We suspect that genetic programming would perform no better than random search, in agreement with the No Free Lunch Theorems (Wolpert, Macready, & others, 1997), and we devised this software to allow us to perform uniform random global search, also known as pure random search, on these problems.The challenge lies in creating a system that enumerates all possible solutions, such that we are then able to randomly select from this space of solutions, giving each solution the same probability of being selected.
Beyond the Guruswami-Sudan (and Parvaresh-Vardy) Radii: Folded Reed-Solomon, Multiplicity and Derivative Codes

The classical family of Reed-Solomon codes consist of evaluations of polynomials over the finite field $\mathbb{F}_q$ of degree less than $k$, at $n$ distinct field elements. These are arguably the most widely used and studied codes, as they have both erasure and error-correction capabilities, among many others nice properties. In this survey we study closely related codes, folded Reed-Solomon codes, which are the first constructive codes to achieve the list decoding capacity. We then study two more codes which also have this feature, \textit{multiplicity codes} and \textit{derivative codes}. Our focus for the most part are the list decoding algorithms of these codes, though we also look into the local decodability of multiplicity codes.
Micro Darknet For Inference: ESL reference for inference accelerator design

For neural network (NN) models applying to low-end edge devices, the memory management is a very important issue because of the limitation of hardware resources. However, current NN frameworks typically allocate a huge memory space for NN models in the initial stage. To reduce memory requirements, we propose a lite NN inference-only framework, MDFI (Micro Darknet for Inference) based on Darknet. We optimize the MDFI C code by a layer-wise memory management and layer-dependency resolving mechanism. According to the experimental results, the average memory consumption of MDFI has 76% reduction compared to Darknet, and the average execution time of MDFI has 8% reduction also.
A Form-Functional Approach to Binary Form Analysis

This chapter teaches students how to analyze movements in simple, balanced, and rounded binary form as well as small ternary themes. The analytical approach proposed here concentrates on the four formal functions featured in binary-form movements: initiation, continuation, digression, and conclusion. One of the main goals of this lesson plan is to make students more aware of the ubiquity of the binary form in different stylistic eras and to better prepare them for sonata-form analysis.
On the capability of a class of quantum sensors

Quantum sensors may provide extremely high sensitivity and precision to extract key information in a quantum or classical physical system. A fundamental question is whether a quantum sensor is capable of uniquely inferring unknown parameters in a system for a given structure of the quantum sensor and admissible measurement on the sensor. In this paper, we investigate the capability of a class of quantum sensors which consist of either a single qubit or two qubits. A quantum sensor is coupled to a spin chain system to extract information of unknown parameters in the system. With given initialisation and measurement schemes, we employ the similarity transformation approach and the Grobner basis method to prove that a single-qubit quantum sensor cannot effectively estimate the unknown parameters in the spin chain system while the two-qubit quantum sensor can. The work demonstrates that it is a feasible method to enhance the capability of quantum sensors by increasing the number of qubits in the quantum sensors for some practical applications.
Leveraging VoIP to Grow Your Business

VoIP isn’t what it was ten years ago. Rapid technological developments and improved internet speeds have allowed businesses to use VoIP to enhance ...
PENGARUH PENGGUNAAN MEDIA PEMBELAJARAN DAN GAYA BELAJAR TERHADAP KEMAMPUAN MENYIMAK BAHASA INGGRIS (Studi Pada Siswa SMK Swasta Jakarta Pusat)

This research aims to know how impact of using learning media and student learning style for the student English listening skill. This research was conducted by distributing questionnaires and term test directly of the Private Vocational School of Central Jakarta as using 50 students that choosing as simple random sampling technique. Data were analyzed by using descriptive statistic method, Parson oefficient, and regression analyze. Result of this research shows that using learning media and learning style for student significantly impact of capabilities of English listening skill student at vocational school in Central Jakarta
Exploring Jeju 4·3 Education through Moral Subject

In general, Jeju 4·3 education has been approached in terms of education on peace and human rights based on understanding and empathy of historical facts. In the future, however, the education needs to be reconstructed into a more systematic curriculum by finding the right history and various moral values and lessons implied by them. In this context, this article sought ways to contribute to Jeju 4·3 education through the moral subject. The history of Jeju 4·3 was divided into the process of occurrence, development, and healing. In each process, value norms or learning elements that could be composed of moral experience cases were identified and selected as educational contents. The values and learning elements found in Jeju 4·3 include nation, democracy, independence, unification(occurrence process), peace, human rights, community, ecology, Jeju identity(development process), reconciliation, coexistence, justice, right naming(healing process). These are each sanctions and themes of teaching and learning. It is necessary to select and organize educational goals and contents according to each sanction, and to produce supplementary high-quality teaching and learning materials. There is also a need for exploration and use of teaching and learning methods and techniques that can effectively teach the educational goals and content of sanctions. It is also necessary to teach the modern meaning of the correct history and moral lessons of Jeju 4·3.