Reviewerly/exHarmony huggingface dataset:
HOW INSTITUTIONS AFFECT OUR ECONOMIC BEHAVIOR?

Over the last decades, the contribution of entrepreneurship to economic growth has been widely recognized by many economic researchers (Wong et al., 2005; Desai, 2011;Acs et al., 2014;Urbano et al., 2019).Entrepreneurial literature reflects the fact that entrepreneurship creates new job places, drives innovation, and leads to more equal distribution of income (Baumol, 1990; Acs, 2006).Due to the fact that institutions may shape conditions for the development of entrepreneurship or destroy it, I (institution) is included as a third variable in the relationship between E (entrepreneurship) and EG (economic growth).The purpose of this discussion paper is to show the relationship between institutional framework and economic agents' behavior.It provides the actual definition of institutions, general understanding of its classification (formal and informal institutions), and then depicts the impact of institutions on economic behavior in the context of entrepreneurship through different case study analyses.Since the topic "Institutions-Entrepreneurship-Economic Growth" is very trendy nowadays and located at the intersection of independent research areas, and due to the complexity and rapid dynamics of it, this paper a empts to provide readers with some basic aspects of this subject.
Natiolectal Variation in Dutch Morphosyntax: A Large-Scale, Data-Driven Perspective

Abstract In this article, we report a large-scale corpus study aimed at tackling the (controversial) question to what extent the European national varieties of Dutch, that is, Belgian and Netherlandic Dutch, exhibit morpho-syntactic differences. Instead of relying on a manual selection of cases of morphosyntactic variation, we first marshal large bilingual parallel corpora and machine translation software to identify semiautomatically, in an extensively data-driven fashion, loci of variation from various “corners” of Dutch grammar. We then gauge the distribution of con-structional alternatives in a nationally as well as stylistically stratified corpus for a representative selection of twenty alternation patterns. We find that natiolectal variation in the grammar of Dutch is far more prevalent than often assumed, especially in less edited text types, and that it shows up in inflection phenomena, lexically conditioned syntactic variation, and pure word order permutations. Another key finding is that many cases of synchronic probabilistic asymmetries reflect a diachronic difference between the two varieties: Netherlandic Dutch often tends to be ahead in cases of ongoing grammatical change, with Belgian Dutch holding on somewhat longer to obsolescent features of the grammar.*
Communication-Affinity Aware Colocation and Merging of Containers

Microservice architecture relies on message passing between services. Inter-service communication introduces an overhead to the applications’ overall performance. This overhead depends on the runtime placement of the services bundled in containers and it can be reduced by intelligently deploying the containers by considering the communication affinities between services. Researchers have attempted to colocate microservices and merge containers based on affinities. However, container merging has not been considered up to now. This study shows that the problem of service placement in a microservice application considering communication affinities, constrained by computational resources, can be mapped to an instance of the Binary Knapsack Problem. We propose a container colocation and merging mechanism based on a heuristic solution to the Binary Knapsack Problem. The proposed approach reduced the communication overhead of a benchmark application by 58.5% and as a result, execution time was reduced by approximately 13.4% as well.
Aplikasi Pengelolaan Data Tools Menggunakan Delphi XE2 di PT. Torishima Guna Engineering Kab Sukabumi

Information Systems data processing storage of goods / tools is one part in a company that is urgent, goods / work tools is a very important element that can not be separated because it can help facilitate the workers in doing the job properly and correctly. The use of a large number of tools and users of the tool also allows many of the occurrence of data collection errors and result in loss of equipment and goods PT. Torishima Guna Engineering Sukabumi district is a company located inSukabumi. The data management of the goods / work aids has not used a good and accurate system, still using a manual system, where every item / equipment borrowed, returned, lost or damaged is still manually recorded every day. This resulted in the late reporting of data goods / tools (work tools) that exist in the company. The author tries to do research and build a system using Delphi XE2 program to handle the problem
The Effect of Problem Based Learning Model on Students Writing Observation Texts Ability at Grade VII-1 of SMP Negeri 15 Ambon, Indonesia

This study aims to improve the observation texts writing ability of grade VII-1 students at SMP Negeri 15 Ambon using the problem-based learning model. The research data form observation texts writing ability test results in each cycle. The research subjects were students of seven grade students at SMP Negeri 14 Negeri 15 Ambon totaling 20 students. The final score of each student is obtained from the acquisition score divided by the total score then multiplied by the ideal score (100). The final score is then converted according to the specified criteria. The results showed that there was an increase in observation texts writing ability of grade VII-1 students at SMP Negeri 15 Ambon using the PBLlearning model. This can be seen from the number of students who achieved the minimum completeness criteria (in Indonesia = KKM) in the first cycle namely 7 students (35%) to 15 students (75%) in the second cycle.
The Potential of Using Mobile-Based Interactive Multimedia to Improve Scientific Literacy

The level of scientific literacy among students in Indonesia is still low. Teachers have attempted to improve it through the use of different teaching models, a variety of resources and technology, and incorporating a scientific approach in the learning process. Mobile-based interactive multimedia can be used as an alternative learning resource to improve students’ scientific literacy. This study aims to explore about about the potential of using mobile-based multimedia interactive to improve scientific literacy. This study employs a qualitative research with the survey as the data collection method. The population in this study were all high school students in Special Region of Yogyakarta Province, Indonesia. Meanwhile, the research sample are 10th grade students of SMA 1 Pengasih with a total number of 108 students who were selected randomly. The questionnaires distribution process was conducted online with using Google Forms after the researcher demonstrate various types of media that can be used for learning activities. The results of this study showed that the use of mobile-based interactive multimedia in learning has a great opportunity to be able to increase students' scientific literacy because in addition to high student interest, there are also many benefits that will be obtained by students, especially to make it easier for students to understand learning material.
Development of Character-Based Intensive Reading of Indonesian Texts for Improving Class IV Learning Outcomes of State Elementary Schools of Boarding Schools in Cirebon

The purpose of this study was to develop character-based intensive reading materials for Indonesian language texts. The development of this product uses an adaptation of the research and development model (Research &amp; Development) based on the Borg &amp; Gall model. The research stage procedures are Define, Design, Development, and Disseminate. The results showed that the results of the teaching material expert validator got a percentage of 95%, language validator experts with a percentage of 95%. Intensive text reading teaching materials are effectively used in increasing student learning outcomes from the results of hypothesis testing at a sig.(2-tailed) value of 0.026 &lt;0.05 means that Ho is rejected, meaning that there is a difference in increasing learning outcomes between the experimental and control classes. Keywords: Teaching materials, Indonesian, character-based, learning outcomes
MENINGKATAN KEMAMPUAN LITERASI MELALUI STRATEGI LICALIDO (LIHAT BACA TULIS DONGENG) DI SDN JATIRAHAYU VIII

This best practice aims to provide an overview of the activities for implementing literacy skills through the LICALIDO strategy (See Read Write Tales), and describe the achievements after improving literacy skills through this LICALIDO strategy at SD Negeri Jatirahayu VIII. The result of this best practice is a significant increase in literacy skills in terms of reading comprehension, writing short stories or essays, and telling stories about the essays they have made. So, in the end the students can achieve achievements in the field of literacy.
Constructing bounded degree graphs with prescribed degree and neighbor degree sequences

Let $D = d_1, d_2, \ldots, d_n$ and $F = f_1, f_2,\ldots, f_n$ be two sequences of positive integers. We consider the following decision problems: is there a $i)$ multigraph, $ii)$ loopless multigraph, $iii)$ simple graph, $iv)$ connected simple graph, $v)$ tree, $vi)$ caterpillar $G = (V,E)$ such that for all $k$, $d(v_k) = d_k$ and $\sum_{w\in \mathcal{N}(v_k)} d(w) = f_k$ ($d(v)$ is the degree of $v$ and $\mathcal{N}(v)$ is the set of neighbors of $v$). Here we show that all these decision problems can be solved in polynomial time if $\max_{k} d_k$ is bounded. The problem is motivated by NMR spectroscopy of hydrocarbons.
Perencanaan Kerangka Kerja Menggunakan The Open Group Architecture Framework-Architecture Development Method (TOGAF-ADM) pada Puskesmas Sukatani

Problems occurred at the Sukatani Health Center is that they do not have their own information system; they still use applications provided by the Health Office; furthermore, they have not fully utilized technology, only partially in processing reports. In accordance with the existing fact that the utilization of information systems is beneficial in business process activities. Hence, it is necessary to plan or design Information System architecture at the Sukatani Health Center to facilitate activities in carrying out business processes, especially in medical services and medical support in order to be more effective and efficient. Based on the research, information system architecture planning at the Sukatani Public Health Center is divided into two architectures: data architecture and application architecture. The data architecture resulted in a classification of 47 classes’ data from all business processes. The application architecture resulted in the classification of 21 application candidates in 6 information system areas; namely the patient admissions information system area consisted of 4 application candidates, the medical service information system area consisted of 6 application candidates, the medical support information system area consisted of 2 application candidates, the pharmacy installation information system area consisted of 3 application candidates, the nutrition installation information system area consisted of 2 application candidates, and the payment information system area consisted of 4 application candidates.
Block Chain for IOT Security Using Consensus Algorithms

The first distributed recordkeeping system with a built-in trust structure is the block chain. It creates a dependable architecture for decentralized control through information redundancy across multiple nodes. Based on this, this study suggests a minimal block chain-based IoT information exchange security framework. The framework uses a double-chain approach that combines the data block chain and the transaction block chain. Distributed storage and tamper-proof data are implemented in the data block chain, and the consensus process is improved using the improved practical Byzantine fault-tolerant (PBFT) mechanism. Data registration efficiency, resource and data transfers, and privacy protection are all enhanced by better partial blind signature-based algorithms in the transaction block chain. This article focuses on how well the consensus algorithms employed in a block chain system for the Internet of Things perform (IoT). Such systems' time requirements to accomplish. Consensus ought to be minimal. The three most popular consensus algorithms—modified proof of work, realistic byzantine fault tolerance, and binary consensus—are assessed under various conditions, including mote type, number of participating nodes, and radio propagation model. To enable an IoT node to switch between different consensus algorithms, a comprehensive solution is put forward. The Contiki IoT operating system simulations display strong performance (time to achieve consensus less than seconds)
Rancang Bangun Sistem Informasi Monitoring Marketing Penerimaan Mahasiswa Baru

Industry 4.0 requires various parties to follow the changes. Effective and efficient makes the main focus on industry 4.0, although LP3I Tasikmalaya already has a system, but it still does not meet the demands of user needs and industry 4.0 competition. Telleselling, MCV, and WA-Blast, are the activities of the presenters of LP3I Tasikmalaya which should have been facilitated by the system but in the field they use Googgle Sheets because the system is considered not to meet the needs and makes it difficult. The aim of the research is to designing and building an information system for Monitoring Marketing in LP3I Tasikmalaya, so that it can address potential data storage problems, update potential data, thereby providing fast and accurate information in the Marketing Division. The collection method uses observation and interviews while the development of the system used is the waterfall model, which consists of stages: analysis, design, coding, and testing, as well as tools in designing the system are DFD (Data Flow diagram). The implementation uses software, namely Android Studio and MySQL Servers. The result of this research is a Digital Marketing Information System that can simplify the process of information on the Marketing Division of LP3i Tasikmalaya in real time.
Mitigation of Database Security Threats in Transaction Processing System

The main function of the transaction processing system (TPS) in the business world is to handle data transactions. Hence, it is crucial to secure the database, we discuss the problem of database threats in a transaction processing system in this article. A transaction process system (TPS) refers to an information processing system for business transactions that collects, modifies, and retrieves all transaction data. Database security denotes the safeguarding of database management systems using a variety of strategies against malicious cyberattacks, unlicensed access, and illegitimate use. The elements that need to be protected by database security systems include the data that has to be stored, the database where it is stored, and the database management system used to administer the data. It involves safeguarding the system from harm, infiltration, and exploitation. Additionally, it safeguards any database-related applications. The aim of this study is to explore possible database security threats in a TPS, along with some security challenges, and mitigation techniques to these threats.
Predicting the Assessment Course Performance of Criminology Students Using Data Mining

Living in this changing era where things constantly change overtime, transitioning means not a big thing. Obviously, nowadays even learning often takes place outside of traditional educational settings. This study aims to determine the performance of criminology students in the assessment course. The research covers the analysis of the performance of Criminology students of Legacy College of Compostela in the Assessment Course with six (6) subject areas. The data were taken from the College of Criminal Justice Education (CCJE) students’ evaluation, Multiple Linear Regression was employed to predict the students’ performance in the assessment course. The data mining study results were acquired using IBM SPSS as the Modeler to transform the data and extract relevant information, which was then used for the conclusion. Based on the results, it can be concluded that the subjects of Crime Detection and Investigation and Law Enforcement Administration significantly influence the outcome of the students' assessments. Therefore, to concentrate on reviewing other areas with students, such as correlational administration, criminalistics, criminal law and procedure, and criminal sociology, might be useful in improving students' performance
Design, Optimization and Simulation of a New Decoder for Reed Solomon and BCH Codes using the New Syndromes Block

In this paper, a new syndrome block for Reed Solomon RS and BCH codes used respectively in digital Video broadcasting DVB-S and DVB-S2 has been presented in order to reduce the number of iterations compared to the existed block, which can be found in the literature, the new method is based on a factorization of the equation corresponds to the syndrome block, which allows us to conceive another circuit.However, this reduction can approximately attain 40%.First, we developed and concepted the design of the proposed algorithm.Second, we transformed the circuits on hardware description language VHDL and finally we generated and simulated the basic and proposed algorithms using Quartus software tools.
PROBLEMS FACED BY EFL STUDENTS IN CARRYING OUT ONLINE PRESENTATION

This study aims at finding out the problems and the factors causing the problems faced by the students of English Education Department in carrying out online presentations. The subject of this research were 6 students of English Education Department of UIN Alauddin Makassar who enrolled in Speaking for Academic Purpose course. The samples were selected purposively. This study uses qualitative descriptive and the data were taken from observations through the Google Meet application and interview. The findings showed that the students had linguistic and non-linguistic problems. The linguistic problems faced are lack of vocabulary, lack of grammar and poor pronunciation; while, the non-linguistic problems are fear of making mistakes, feelings of shame, lack of self-confidence, network problems and disturbances that occur around students' homes.
AN ANALYSIS OF STUDENTS' PROBLEMS IN LISTENING SECTION OF TOEFL IN ENGLISH EDUCATION DEPARTMENT OF UIN ALAUDDIN MAKASSAR

This study aimed to analyze the students' problems in the listening section of TOEFL in English Education Department of UIN Alauddin Makassar. This study was qualitative research. The Research subjects were 12 students who had undertaken TOEFL test from English Education Department of UIN Alauddin Makassar. The instrument was an interview guideline. The data were analyzed using Miles and Huberman analysis. This research indicated that the students encountered three problems in the listening section of TOEFL. The first problem was listening to material such as unfamiliar words, grammar structure, vocabulary, pronunciation, speech speed, and long-spoken text. The second was the listener's personal problems, such as feeling worried, losing concentration, unclear pronunciation, and encountering an unknown word. The third was the environmental situation, such as the noise around and the low quality of the recording.
Learner’s Perception in Using Social Media for Foreign Languages Acquisition

Social media use is a crucial component of modern education. The overuse of social media has completely captivated learners' attention. This study conducted to examine the perception of foreigner language learners toward utilization of social media. This descriptive study's data was gathered using a qualitative approach with a custom-made questionnaire. 60 students participated in this study. The study's findings demonstrated that learners' regular use of social media had a substantial impact on their performance. It has also showed that, and learners had positive attitude toward using social media in order to acquisition of foreigner language. Therefore, one of the educational tools that learners can use to improve their foreign language skills is social media. This study offers insights into how important of technology to support learner the integration and utilization of social media platforms as instructional tools in the context of acquisition foreign languages.
The emergence of grammatical structure from inter-predictability

Recent research has shown that words or morphemes that are closer to each other in linear order tend to have higher statistical inter-predictability, measured as mutual information. We offer an explanation for this in terms of holistic chunking of inter-predictable symbols, which provides an efficiency gain in the retrieval of stored symbols to encode a message. Inter-predictable chunking then interacts with structural priming to produce the schematic linear structures that are characteristic of both syntax and morphology. We thus argue that predictability and efficiency play a key role in the emergence of grammatical structure, going beyond previous information-theoretic analyses of natural language. In this paper we articulate some fundamental principles of chunking and linearisation, and use a simple computational implementation to show that these are sufficient to produce natural-language-like structures, using NP-internal ordering as a case study.
Digital quantum simulation of quantum gravitational entanglement with IBM quantum computers

Abstract We report the digital quantum simulation of a hamiltonian involved in the generation of quantum entanglement by gravitational means. In particular, we focus on a pair of quantum harmonic oscillators, whose interaction via a quantum gravitational field generates single-mode squeezing in both modes at the same time, a non-standard process in quantum optics. We perform a boson-qubit mapping and a digital gate decomposition specific for IBM quantum devices. We use error mitigation and post-selection to achieve high-fidelity, accessing a parameter regime out of direct experimental reach.
Combining graph convolutional networks and Chebyshev polynomial approximation of spectral filter to improve spectral clustering

Abstract Spectral clustering(SC) is a widely used method of unsupervised learning, which is effective in dealing with many real-world applications. However, existing SC simply drops in three deficiencies. Firstly, the traditional SC cannot learn an effective representation among non-Euclidean data. Secondly, for the present algorithms based on spectral clustering, it is necessary to carry out eigendecomposition of the Laplace matrix, that is very time consuming when processing large-scale data. Thirdly, in large-scale data, the application of the k-means algorithm for spectral clustering will also waste time. To solve these issues, we combine Graph Convolutional Network and Chebyshev polynomial approximation of spectral filter to improve spectral clustering (CGCSC). Specifically, the proposed CGCSC algorithm first uses Graph Convolutional Networks (GCN) to express and analyze non-Euclidean data, and then builds the Laplace matrix. Meanwhile,we use Chebyshev polynomial approximation of spectral filter technology to avoid the eigendecomposition of the Laplace matrix, which is completely different from traditional ways. Additionally, this paper adopts a uniform distribution sampling technique, which can do a random sample of graph signals, further reduce the data scale and improve the k-means’speed in SC. The performance of CGCSC is tested on artificial and natural datasets. Compared with several advanced clustering algorithms, the experiment shows that CGCSC can considerably improve the clustering speed, and at the same time ensuring the clustering accuracy.