Reviewerly/exHarmony huggingface dataset:
Construction of sustainable development professional cluster in private universities based on data mining model

Abstract Professional cluster construction is the change of professional development mode in the context of current social development, and it is the innovation of internal construction and intensive management of private colleges and universities. This paper analyzes the advantages and disadvantages of the maximum expectation algorithm in big data mining, proposes to optimize the parameter estimation iteration by using the Monte Carlo method for the problem that the stable point of the EM algorithm does not necessarily reach the global optimum, uses the sample mean instead of the overall mean, and further proposes MCEM acceleration algorithm to improve the convergence speed of the parameter estimation iteration. The evaluation score of the audit professional group construction in internal business process management of school A is 3.21, that of the software technology professional group construction in the learning and growth dimension of school B is 3.45, that of the Chinese medicine professional group construction in developing core competitiveness dimension of school C is 2.87. The comprehensive evaluation score of the construction of the industrial robotics professional group in school D is 3.33. The mining evaluation of professional cluster construction based on big data can precisely locate the key factors of professional cluster construction in private colleges and universities, which is of reference significance for the sustainable development of professional cluster construction in colleges and universities.
Estimating Anthropometric Soft Biometrics: An Empirical Method

Following the success of soft biometrics over traditional biometrics, anthropometric soft biometrics are emerging as candidate features for recognition or retrieval using an image/video. Anthropometric soft biometrics uses a quantitative mode of annotation which is a relatively better method for annotation than qualitative annotations adopted by traditional biometrics. However, one of the most challenging tasks is to achieve a higher level of accuracy while estimating anthropometric soft biometrics using an image or video. The level of accuracy is usually affected by several contextual factors such as overlapping body components, an angle from the camera, and ambient conditions. Exploring and developing such a collection of anthropometric soft biometrics that are less sensitive to contextual factors and are relatively easy to estimate using an image or video is a potential research domain and it has a lot of value for improved recognition or retrieval. For this purpose, anthropometric soft biometrics, which are originally geometric measurements of the human body, can be computed with ease and higher accuracy using landmarks information from the human body. To this end, several key contributions are made in this paper; i) summarizing a range of human body pose estimation tools used to localize dozens of different multi-modality landmarks from the human body, ii) a critical evaluation of the usefulness of anthropometric soft biometrics in recognition or retrieval tasks using state of the art in the field, iii) an investigation on several benchmark human body anthropometric datasets and their usefulness for the evaluation of any anthropometric soft biometric system, and iv) finally, a novel bag of anthropometric soft biometrics containing a list of anthropometrics is presented those are practically possible to measure from an image or video. To the best of our knowledge, anthropometric soft biometrics are potential features for improved seamless recognition or retrieval in both constrained and unconstrained scenarios and they also minimize the approximation level of feature value estimation than traditional biometrics. In our opinion, anthropometric soft biometrics constitutes a practical approach for recognition using closed-circuit television (CCTV) or retrieval from the image dataset, while the bag of anthropometric soft biometrics presented contains a potential collection of biometric features which are less sensitive to contextual factors.
Deep Learning Model for Big Data Classification in Apache Spark Environment

Big data analytics is a popular research topic due to its applicability in various real time applications. The recent advent of machine learning and deep learning models can be applied to analyze big data with better performance. Since big data involves numerous features and necessitates high computational time, feature selection methodologies using metaheuristic optimization algorithms can be adopted to choose optimum set of features and thereby improves the overall classification performance. This study proposes a new sigmoid butterfly optimization method with an optimum gated recurrent unit (SBOA-OGRU) model for big data classification in Apache Spark. The SBOA-OGRU technique involves the design of SBOA based feature selection technique to choose an optimum subset of features. In addition, OGRU based classification model is employed to classify the big data into appropriate classes. Besides, the hyperparameter tuning of the GRU model takes place using Adam optimizer. Furthermore, the Apache Spark platform is applied for processing big data in an effective way. In order to ensure the betterment of the SBOA-OGRU technique, a wide range of experiments were performed and the experimental results highlighted the supremacy of the SBOA-OGRU technique.
Learning Microeconometrics with R

Journal Article Learning Microeconometrics with R Get access Learning Microeconometrics with R by Christopher P. Adams, CRC Press, Chapman & Hall. 2021. xxx + 368pp. ISBN: 9780367255381, £77.99 (hbk) Morteza Aalabaf-Sabaghi Morteza Aalabaf-Sabaghi Economic Cooperation Organization, College of Insurance, and Allameh Tabataba’i University, Tehran, Iran aalabaf@atu.ac.ir https://orcid.org/0000-0002-3530-1482 Search for other works by this author on: Oxford Academic Google Scholar Journal of the Royal Statistical Society Series A: Statistics in Society, qnad117, https://doi.org/10.1093/jrsssa/qnad117 Published: 07 September 2023
The Role Of Technology In Indonesian Education At Present

Technology has become increasingly important in education, including in Indonesia. The implementation of technology in education is expected to improve the quality of education and help reduce the gap in education access across regions. However, several factors have hindered the implementation of technology in education in Indonesia, such as limited infrastructure, inadequate training and development for teachers and lecturers, and digital divides between regions. Despite these challenges, the use of technology in education has several benefits, including improving the quality of learning and motivation of students and increasing the efficiency of administrative tasks for teachers and lecturers. To improve the implementation of technology in education in Indonesia, efforts are needed to develop supporting infrastructure, provide training and development for educators, and establish clear policies and regulations. Collaboration between the government, educational institutions, and the private sector is also necessary. This article discusses the role of technology in education in Indonesia and the factors that influence its implementation, drawing on various studies and research.
Design and Deploy Security for Infrastructure, Data, and Applications

Cybersecurity is essential in protecting systems from malicious attacks and unauthorized access. It also helps to ensure that data is kept safe and secure and that applications remain available and reliable. Without proper cybersecurity measures in place, organizations can be exposed to costly data breaches and other security incidents. Cybersecurity should be a top priority for any organization, and companies should invest in measures to detect and prevent security threats and vulnerabilities, as well as to respond quickly and effectively when incidents occur.
Penggunaan Metode Control to Free untuk Meningkatkan Kemampuan Menulis Teks Deskripsi bagi Siswa Kelas VII-C SMP Islam Khadijah Bagek Nyaka

This study was conducted based on the fact that writing is the most difficult skill for students to master. Students face difficulties in learning writing. They are not sure of how to compose a setence, arrange sentences into good paragraphs, how to develope their ideas, they have lack of vocabulary and tend to use only certain words they have known in writing. They also apply incorrect grammar in their writing. Teacher considers that teaching writing is a difficult task. This action research is about teaching writing descriptive text by using control to free method to the seven graders students of SMP Islam Khadijah Bagek Nyaka in the academic year of 2022-2023. The aim of this study is to find out how control to free method can be implemented to improve students‟ skill in writing descriptive text. In order to achieve the objectives, an action research was designed and carried out in this study. The participants of this study were 28 students of class VII C of SMP Islam Khadijah Bagek Nyaka in the academic year of 2022-2023. Questionnaire, observation sheet, and writing tests were used as the instruments for collecting data. The results of the study showed significant improvement of the students’ achievement in writing descriptive text. It is proven by the average results in every test; pre test (47,89), the first cycle test (58,92), and post test (71.30). The students’ writing skill (organization, content, grammar, punctuation, and style and quality of expression) in each test increased, too. Moreover, the result of the observation sheet showed that control to free method changed the students’ learning behavior being better than before. Their enthusiasm during the learning process increased in each cycle. The analysis result of questionnaire showed that control to free technique was useful to most of students to improve their learning interest in writing descriptive text. Their perception changed positively after having the treatment. It meant that the use of control to free technique could ease their problem in writing English especially descriptive text. Based on the results of those research instruments, it can be concluded that using control to free method as a learning method gives significant improvement to students’ skill in writing descriptive text.
AVX Programming – Packed Integers

The focus of this chapter is AVX integer programming using 128-bit wide SIMD operands. The first section examines several concise source code examples that illustrate packed integer arithmetic including addition, subtraction, and multiplication. This section also explains AVX bitwise logical operations and shifts. The second section contains two source code examples that demonstrate elementary SIMD calculations using integer arrays. Integer arrays are frequently utilized to maintain the pixels of a digital image. As you’ll soon see, AVX is ideally suited for many types of image processing algorithms.
The effects of virtual and augmented reality on attitudes towards science in Mexican primary school students

The present study was carried out with elementary school students in Mexico divided into two groups (control and experimental), and aimed to answer the question: what attitudinal effect will elementary school students have towards science if they experience the learning of scientific content through virtual and augmented reality? The intervention contemplated emerging technology because, in general terms, current students speak a digital language in a natural way, in addition, they are characterized by thinking and processing information in a different way than their predecessors. It was identified with a pretest and posttest that the educational intervention in the experimental group was an important tool to ensure that students develop favorable attitudes towards science, such as liking and enjoyment (p &lt; 0.05), in addition to influencing the possibility of studying a career related to the scientific field.
Deep Learning Berbasis CNN Untuk Pengenalan Pola Partial Discharge Isolasi Silicone Rubber

Partial discharge (PD) activity measurements have been carried out by selecting noise signals (de-noising) using Support Vector Machine (SVM)and then recognized using Convolutional Neural Network (CNN). CNN testing was carried out using various models such as activation methods: Sigmoid, Softmax, Relu, Tanh, Swish. Number of layers used is 1, 2, 3, 4 with filter sizes of 32, 64, 128, 256 and kernel sizes 3x3, 2x2, 1x1, 1x2, 1x3 in the MaxPooling and AveragePooling pooling methods. The results obtained, On sigmoid method the MaxPooling and AveragePooling with 1 layers having a low accuracy around 14.40% but the other layers configurations gets a high accuracy around 98.99% both has been done with or without de-noising. In Softmax activation method, MaxPooling pooling method has an accuracy around 84.94% and has de-noising 90.66%. The AveragePooling pooling method has an accuracy 65.25% and around 75.29% with de-noised. The result shows that SVM de-noising increases the accuracy around 11.12% in the Softmax activation method. In the Tanh, Relu, and Swish activation methods, a low level of accuracy is obtained with an average of 14.40%, and SVM de-noising doesn’t increase the accuracy, so CNN-based deep learning with SVM de-noising is more suitable using the Sigmoid and Softmax.
KEEFEKTIFAN METODE PEMODELAN PADA PEMBELAJARAN BERUPA MENULIS SURAT DINAS SISWA KELAS VII MTS NEGERI 1 PALEMBANG

Based on the results of research and analysis of the average value it can be seen, the test for making official letters for students in the experimental group that applied the modeling method was 83.5, the average score for writing official letters for students in the control group was 70.42 (83.5 &gt; 70,42). The modeling method is more effective when used in delivering official letter writing subject matter. This is shown after testing the mean of the two groups (experimental class and control class) with the price t0 (t count) &gt; t table, namely 1.671 &lt;17.02, the null hypothesis (Ho) is rejected and the alternative hypothesis (Ha) is accepted with evidence of use the modeling method is more effective than conventional methods in learning to write one of the official letters of class VIII MTs students. Country 1 Palembang.&#x0D; Keywords: Modeling method, writing and official letter
PENGARUH MODEL CONCEPT SENTENCE TERHADAP KEMAMPUAN SISWA KELAS V SD NEGERI 187 PALEMBANG MENENTUKAN ISI CERITA RAKYAT ASAL MULA TERJADINYA POHON ENAU KARYA SALIM

This study identified and described the effect of the concept sentence model on the ability of fifth grade students at SD Negeri 187 Palembang to determine the content of the folk tale The Origin of the Palm Tree by Salim. The population of this study only consisted of fifth grade students at SD Negeri 187 Palembang, namely a maximum of 60 with a sample population of 60. The method used in this study was a quasi-experimental method using a group experimental design and a control group. Research data were obtained through test techniques, questionnaires and interviews and were analyzed using test data analysis techniques, questionnaire data analysis and interview data analysis techniques. contents of the folklore The Origin of the Palm Tree by Salim because it proved to be greater than "ttable" at a significant level of 5%. Based on the results of student tests, after comparing the results of the control class tests with the results of the experimental class tests, it was found that "t0" &gt; "ttable" at a significance level of 5%, namely 12.35 &gt; 2.00 . With a database of 58. Therefore, the hypothesis put forward by the author is, "There is an influence of the concept sentence model on the ability of fifth grade students at SD Negeri 187 Palembang to determine the content of the folk tale The Origin of the Enau Tree by Salim" is proven to be true.
『正法眼蔵』における引用漢籍の分析――出典漢籍との構文比較を通じて――

In previous scholarship, I have used syntactic analysis as a fresh perspective from which to analyze the syntax （kōbun 構文） of five representative volumes of Dōgen’s 道元 （1200-1253） main work, the Shōbōgenzō 正法眼蔵, as well as other Japanese Buddhist texts written in the Kamakura period 鎌倉期 （1185-1133）, and have confirmed that complex sentences are frequently used. Now, I would like to further clarify the characteristics of the Shōbōgenzō’s syntax by analyzing the Chinese classics （kanseki 漢籍） quoted therein. First, I conducted a syntactical analysis of its quotations of the Six Patriarchs （such as Rújìng/Nyojyō 如浄, Zhàozhōu/ Jyōshū 趙州, etc.）, whom the Shōbōgenzō quotes more than 10 times, according to Genryū Kagamishima’s 鏡島元隆 Dōgen in’yō goroku no kenkyū 道元引用語録の研究 （Studies of Dōgen’s Quotations from Zen Texts）. I found that complex sentences made up only 61% of the quotations, compared to 76% elsewhere in the Shōbōgenzō. Moreover, given that more than half of the quotations are written in affirmative complex sentences （fukubun 複文）, and many others are written in simple sentences, we can see that simple sentence constructions are predominant. In addition, the characteristic sentence complexity of paraphrases （iikae 言い換え） in the Shōbōgenzō, as well as its tendency to conceptualize via paraphrasing, are absent in the quotations.
PENGARUH METODE PEMBELAJARAN COMPLETE CENTENCE DALAM PEMBELAJARAN MENULIS TEKS ULASAN SISWA

The purpose of this study was to investigate whether the complete sentence learning method affects students' ability to write reviews. The research method used was the pretest-posttest control group design experimental method. The population consists of students in Class VIII of SMP Negeri 16 Palembang, which consists of two classes. The data collection method is the test method: pre-test and post-test. A computational investigation of the t-test yielded tcount = 29.95 and ttable = 1.67 for a table with a significance level of 0.05±n, so tcount &gt; ttable and the alternative hypothesis or Ha is accepted.&#x0D; Keywords: complete centence, ability to write review text
PSYCHOLOGY OF CHARACTERS IN ASMA NADIA’S NOVEL CINTA 2 KODI (SIGMUND FREUDS THEORY)

The problem in this study is how is the literary psychology of the character in the novel cinta 2 KODI by Asma Nadia. The purpose of this study is to find out and analyze the literary psychology in the novel Cinta 2 KODI by Asma Nadia. The method used in this study is descriptive qualitative method. Data collection techniques use documentation tecniques.
Reading characteristics by subgroup of children with reading difficulties through gaze tracking

본 연구는 시선 추적 변인을 이용하여 읽기 부진 하위 집단을 분류함으로써 세부 집단에 따른 읽기 지원 요구를 파악하는 데 목적이 있다. 이를 위해 먼저, 읽기 부진 아동으로 선정된 S시 소재 3~5학년 초등학생 70명을 대상으로 읽기 능력 측정 결과에 따라 잠재집단을 분류하였다. 이후 읽기유창성 검사 과정에서는 시선 추적 지표를 통해 집단별 차이를 탐색하였고, 읽기이해 검사 과정에서는 시선 경로 분석을 통해 특징을 살펴보았다. 그 결과 읽기 변인 점수에 따라 ‘유창성 지원 요구 집단’, ‘기능적 읽기 지원 요구 집단’, ‘어휘 지원 요구 집단’으로 분류되었다. 읽기유창성 검사에서 평균 고정 시간, 평균 회귀 시간, 첫 고정까지 걸린 시간이 유의한 예측 지표인 것으로 나타났으며 읽기이해 검사에서는 ‘어휘 지원 요구 집단’이 ‘기능적 읽기 지원 요구 집단’에 비해 적극적으로 읽기에 참여하고 있는 것으로 나타났다. 이러한 결과를 토대로 교육적 시사점 및 후속 연구를 위한 제언에 대해 논의하였다.The purpose of this study is to explore the possibility of using gaze tracking tests as a way to identify the needs of screening and reading support for children with reading difficulties by classifying into detailed groups and examining the characteristics of gaze tracking by groups. To solve the research question, 70 children with reading difficulties, corresponding to the 3rd to 5th grades in S city, were selected as the objects of this study. Afterwards, the differences between groups were explored through the gaze tracking variables in the process of reading aloud flency test and the characteristics were identified through gaze path analysis in the process of the reading comprehension test. As a result, they were classified as three groups with significant differences according to reading-related variables. The groups were named ‘Fluency Support Required Group’, ‘Functional Reading Support Required Group’, and ‘Vocabulary Support Required Group’. In the reading fluency test, average fixation time, mean regression time, and time until the first fixation were found to be significant predictive indicators. And in the reading comprehension test, the ‘vocabulary support request group’ showed more actively participaing in reading than the ‘functional reading support request group’. Based on these results, educational implications and suggestions for follow-up studies were discussed.
Revisiting the Corruption and Sustainable Development Nexus in Africa

This chapter quantifies, outlines, and analyzes the nexus between corruption and sustainable development in Africa. It employs the relevant disaggregated data and also complements that with the results of reliable empirical studies to further cross-reference and demonstrate the corruption and sustainable development nexus. The chapter shows that corruption in Africa continues to be negatively associated with development objectives and that, in turn, will continue to affect the continent’s progress in achieving sustainable development. Policy implications are also considered and analyzed. Undoubtedly, corruption is very damaging to economies across all nations and regions. However, in Africa, this impact on development has been particularly severe and ongoing.
The Effect of Design Thinking(3I)-based Artificial Intelligence Convergence Making Activity Program on Elementary School Students’ Creative Convergence Mindset

이 연구는 2015 개정 실과 교육과정 성취기준에 근거하여 초등학교 학생의 발달 단계를 고려하여 설계한 디자인 씽킹(3I) 기반 인공지능 융합 메이킹 프로그램을 초등학생에게 적용하여 그 효과성을 검증하는 데 그 목적이 있다. 디자인 씽킹(3I) 기반 인공지능 융합 메이킹 프로그램을 적용하는 실험집단으로 초등학교 5학년 18명 1개 학급을 대상으로 진행하였다. 실험 처치를 하지 않은 비교집단으로는 같은 초등학교 5학년 38명 2개 학급을 선정하였다. 실험집단에는 개발된 인공지능 융합 메이킹 프로그램을 7주(매주 2차시씩 총 14차시 운영)에 걸쳐 적용하였고, 창의 융합 마인드 셋의 향상 정도를 알아보기 위하여 두 집단의 사전․사후 창의 융합 마인드 셋 검사를 실시하였다. 두 집단 간 사전․사후 검사 결과를 토대로 프로그램의 효과성을 분석하였다. 실험처치 전 실험․비교집단 간의 창의 융합 마인드 셋에 대한 독립 표본 t-검정, 실험처치 전후 실험․비교 집단의 창의 융합 마인드 셋 변화에 대한 대응 표본 t-검정, 실험처치 후 실험․비교 집단 간의 독립 표본 t-검정 결과를 종합해 볼 때 프로그램에 참여한 학생들의 창의 융합 마인드 셋에 유의미한 변화를 확인하며, 프로그램 효과성을 검증하였다. 따라서, 초등학생 디자인 씽킹(3I) 기반 인공지능 융합 메이킹 활동 프로그램이 미래 사회에 필요한 마인드 셋을 지닌 창의 융합형 인재 양성에 기여할 것으로 기대한다.The purpose of this study is to apply the artificial intelligence convergence making program fused with making activities to elementary school students in consideration of the developmental stage of elementary school students based on the 2015 revised curriculum achievement standards and verify its effectiveness. As an experimental group, one class of 18 students in the 5th grade of elementary school was conducted. Two classes of 38 fifth graders from the same elementary school were selected as a comparison group. To the experimental group, the developed artificial intelligence convergence making program was applied over 7 weeks, and the pre- and post-creation convergence mind set tests of the two groups were conducted to find out the degree of improvement in the creative convergence mind set. The effectiveness of the program was analyzed based on the results of pre- and post-tests between the two groups. Between the experimental and comparison groups after the experimental treatment in summarizing the results of the t-test, a significant change was confirmed in the creative convergence mind-set of the students who participated in the program, and the effectiveness of the program was verified.