Reviewerly/exHarmony huggingface dataset:
Implementasi Teknologi Informasi untuk Meningkatan Mutu Layanan Perpustakaan

Library services in this case the library services include circulation services, reference services, journal / magazine services, multimedia services, internet services and computer stations. These services must follow technological developments in providing information in accordance with the needs of users. IT in libraries is often a benchmark of progress and modernization of a library. The goal of information technology in improving service quality is easy, fast and accurate access through telecommunications networks (LAN, WAN , and internet). This article tries to explain what and how the implementation of information technology to improve the quality of library services. The conclusion is the implementation of information technology in improving the quality of library services is the application of technology used in conveying and processing information to improve quality or standards that must be achieved in the main activities in each library. services such as application to circulation services, reference services, periodical journal or magazine services, multimedia or audio-visual services, internet and computer station services, security services and procurement services.
Metaheurísticas paralelas verdes: Diseño, implementación y evaluación

Green parallel metaheuristics (GPM) is a new concept we want to introduce in this thesis. Itis an idea inspired by two facts: (i) parallel metaheuristics could help as unique tools to solve optimization problems in energy savings applications and sustainability, and (ii) these algorithms themselves run on multiprocessors, clusters, and grids of computers and then consume energy, so they need an energy analysis study for their different implementations over multiprocessors. The context for this thesis is to make a modern and competitive effort to extend the capability of present intelligent search optimization techniques. Analyzing the different sequential and parallel metaheuristics considering its energy consumption requires a deep investigation of the numerical performance, the execution time for efficient future designing to these algorithms. We present a study of the speed-up of the different parallel implementations over a different number of computing units. Moreover, we analyze and compare the energy consumption and numerical performance of the sequential/parallel algorithms and their components: a jump in the efficiency of the algorithms that would probably have a wide impact on the domains involved.
Content analysis of English textbooks for tenth grade of senior high school

The objectives of this study are to (1) discover whether or not the English textbooks for tenth grade fulfilled the criteria of a good textbook by Alan Cunningsworth, and (2) find out the strengths and weaknesses of the three textbooks used by tenth-grade students Senior High School. This research was conducted using content analysis because the data were collected from the content of textbooks. The object of this research was three textbooks. They are Talk Active, Pathway to English, and Bahasa Inggris for the tenth-grade senior high school. The research adapted Cunningsworthâ€™s theory of a good textbook to evaluate these textbooks. The data were taken from document analysis and interview. The steps of the research were data collection, data reduction, data display, and giving a conclusion. The results of this research were (1) Talk Active fulfils four criteria of a good textbook by Cunningsworth; they are aims and approaches, topic, methodology, and political consideration. Pathway to English meets six criteria by Cunningsworth; aims and approaches, design and organization, topic, methodology, teachersâ€™ book, and political consideration. Bahasa Inggris meets five criteria by Cunningsworth; aims and approaches, design and organization, topic, teachersâ€™ book, and political consideration. (2) The strengths of Talk Active are in terms of appearance, activities, and materials. Pathway to English has strengths in terms of topics, activities, social and cultural context, and media. Bahasa Inggris has strengths in terms of activities, appearance, and communicative competence. On the other hand, Talk Active contains some weaknesses in terms of authentic language and content. Pathway to English present unattractive colouring, limited vocabulary, an expensive price, then Bahasa Inggris has weaknesses in terms of complete materials, less social and cultural context. It does not cover four basic skills in English.
FASG: Feature Aggregation Self-training GCN for Semi-supervised Node Classification

Recently, Graph Convolutioal Networks (GCNs) have achieved significant success in many graph-based learning tasks, especially for node classification, due to its excellent ability in representation learning. Nevertheless, it remains challenging for GCN models to obtain satisfying prediction on graphs where few nodes are with known labels. In this paper, we propose a novel self-training algorithm based on GCN to boost semi-supervised node classification on graphs with little supervised information. Inspired by self-supervision strategy, the proposed method introduces an ingenious checking part to add new nodes as supervision after each training epoch to enhance node prediction. In particular, the embedded checking part is designed based on aggregated features, which is more accurate than previous methods and boosts node classification significantly. The proposed algorithm is validated on three public benchmarks in comparison with several state-of-the-art baseline algorithms, and the results illustrate its excellent performance.
YouTube Keyword Search Engine Using Speech Recognition

Visual media is a better way to deliver the information than the old way of "reading". For that reason with the wide propagation of multimedia websites, there are large video library’s archives, which came to be a main resource for humans. This research puts its eyes on the existing development in applying classical phrase search methods to a linked vocal transcript and after that it retrieves the video, this an easier way to search any visual media. This system has been implemented using JSP and Java language for searching the speech in the videos
PENGARUH MODEL PEMBELAJARAN QUESTION STUDENT HAVE DALAM MENINGKATKAN HASIL BELAJAR MATEMATIKA SISWA KELAS V SD AL HIJRAH KOTA MAKASSAR

Abstract: The Effect of Question Student Have Learning Model in Improving Mathematics Learning Outcomes of Students in the Grade V of SD Al Hijrah Makassar . The purpose of this study were: 1) To find out the description of mathematics learning outcomes in fifth grade students of SD Al Hijrah Makassar before applying the Question Student Have learning model. 2) To find out the description of mathematics learning outcomes in fifth grade students of SD Al Hijrah Makassar after applying the Question Student Have learning model. 3) To find out the effectiveness of the application of the Question Student Have learning model in fifth grade students of SD Al Hijrah Makassar. The type of research applied by the author was the Pre-Experimental Design Research; this type did not include the true-experimental Design research. The form of research used was the One-Group Pretest- Posttest Design. The technique used by the author was saturated sampling, so the sample in this study was all fifth grade students of SD Al Hijrah Elementary Makassar, with total 31 students. Based on the results of descriptive analysis of data, it was found that the average acquisition of students 'cognitive scores before the application of the Question Student Have learning model was 39.87 and 61% of students from 31 students' mastery level of material were in the low category. While the average cognitive value of students after applying the Question Student Have learning model was 75.61 and 68% of students from 31 students mastering the material were in the high category. This showed an increased in the acquisition of the average value of students namely from 39.87 to 75.61. This meant that the Question Student Have learning model had effect very in improving student learning outcomes. Keywords : Question Student Have learning model, mathematics learning outcome.
Improving the Accuracy of Nearest-Neighbor Classification Using Principled Construction and Stochastic Sampling of Training-Set Centroids

A conceptually simple way to classify images is to directly compare test-set data and training-set data. The accuracy of this approach is limited by the method of comparison used, and by the extent to which the training-set data cover configuration space. Here we show that this coverage can be substantially increased using coarse-graining (replacing groups of images by their centroids) and stochastic sampling (using distinct sets of centroids in combination). We use the MNIST and Fashion-MNIST data sets to show that a principled coarse-graining algorithm can convert training images into fewer image centroids without loss of accuracy of classification of test-set images by nearest-neighbor classification. Distinct batches of centroids can be used in combination as a means of stochastically sampling configuration space, and can classify test-set data more accurately than can the unaltered training set. On the MNIST and Fashion-MNIST data sets this approach converts nearest-neighbor classification from a mid-ranking- to an upper-ranking member of the set of classical machine-learning techniques.
PENINGKATAN SUMBER DAYA MANUSIA GURU DI SMPI BRAWIJAYA PUNGGING MELALUI BUDAYA LITERASI DIGITAL

The development of information technology in the digital era is rapidly increasing causing more abundant digital information resources. The condition of students at school now has a high dependence on information search on the internet. In addition, there are many demands for teachers to fulfill the tasks of digital education administration. Therefore, teachers as educators or instructors in schools must have sufficient digital literacy skills to be able to carry out their duties as educators and educators well. The purpose of this study is to explain and reinforce the importance of improving teacher human resources through digital literacy culture. This research uses a descriptive quantitative approach. Data collection in this study using the questionnaire method was supported by direct interviews. The sampling technique uses multistage random sampling technique. The results of the study show that the level of digital literacy competence of teachers in SMPI Brawijaya based on several aspects of digital literacy competency is relatively highKeywords: Human Resources, Teacher, Digital Literacy.
Content and Distribution of Organic And Inorganic Carbon in the Urban Soils of Rostov Agglomeration

The content and distribution of organic and inorganic carbon along the profile in the soils of the Rostov agglomeration are considered. The results obtained on a TOC-L CPN Shimadzu carbon analyzer are evaluated using Student&amp;#x27;s t-test. The groups of some horizons of native soils AU rz, AU, BCA, C, as well as their buried analogues [AU], [BCA], [C] were compared. The analysis of the urbic horizons was carried out taking into account their particle size distribution, previously dividing into horizons clusters - heavy URh and light URl. In the [AU] horizon of soils buried under the anthropogenic stratum, a statistically significant decrease in the organic carbon content is observed, compared to the AU horizon of natural analogues. The middle part of the profile - the BCA and [BCA] horizons - is characterized by the greatest similarity in carbon content, both organic and inorganic, which suggests the lowest anthropogenic impact on these horizons. Significant differences in the inorganic carbon content in the comparison pair - horizons C and [C] are shown, and its content is higher in natural analogues (horizons C). The data analysis of the urbic diagnostic horizons did not reveal any significant regularities because of the high degree of variation of this indicator due to the genesis peculiarities of the anthropogenically transformed stratum.
PENERAPAN INTERNET DALAM EFEKTIVITAS PROSES BISNIS DALAM MY GALLERY

Abstract:Business process is a series of interrelated jobs to overcome a particular problem, it can also be to create a product or service to achieve specific goals. The internet is a collection of computer network sequences that unites one computer network with other computer networks worldwide. The method applied for this research is to make observations. And the results obtained are there by implementing the internet to improve the effectiveness of business processes at MY Gallery.
On the Importance of Sampling in Training GCNs: Convergence Analysis and Variance Reduction

Graph Convolutional Networks (GCNs) have achieved impressive empirical advancement across a wide variety of graph-related applications. Despite their great success, training GCNs on large graphs suffers from computational and memory issues. A potential path to circumvent these obstacles is sampling-based methods, where at each layer a subset of nodes is sampled. Although recent studies have empirically demonstrated the effectiveness of sampling-based methods, these works lack theoretical convergence guarantees under realistic settings and cannot fully leverage the information of evolving parameters during optimization. In this paper, we describe and analyze a general \textbf{\textit{doubly variance reduction}} schema that can accelerate any sampling method under the memory budget. The motivating impetus for the proposed schema is a careful analysis for the variance of sampling methods where it is shown that the induced variance can be decomposed into node embedding approximation variance (\emph{zeroth-order variance}) during forward propagation and layerwise-gradient variance (\emph{first-order variance}) during backward propagation. We theoretically analyze the convergence of the proposed schema and show that it enjoys an O(1/T) convergence rate. We complement our theoretical results by integrating the proposed schema in different sampling methods and applying them to different large real-world graphs.
Reusing Preprocessing Data as Auxiliary Supervision in Conversational Analysis

Conversational analysis systems are trained using noisy human labels and often require heavy preprocessing during multi-modal feature extraction. Using noisy labels in single-task learning increases the risk of over-fitting. However, auxiliary tasks could improve the performance of the primary task learning. This approach is known as Primary Multi-Task Learning (MTL). A challenge of MTL is the selection of beneficial auxiliary tasks that avoid negative transfer. In this paper, we explore how the preprocessed data used for feature engineering can be re-used as auxiliary tasks in Primary MTL, thereby promoting the productive use of data in the form of auxiliary supervision learning. Our main contributions are: (1) the identification of sixteen beneficially auxiliary tasks, (2) the method of distributing learning capacity between the primary and auxiliary tasks, and (3) the relative supervision hierarchy between the primary and auxiliary tasks. Extensive experiments on IEMOCAP and SEMAINE data validate the improvements over single-task approaches, and suggest that it may generalize across multiple primary tasks.
Machine learning methods on Swedish geological data

We apply neural networks and random forest to study geological data. In part one of the thesis, a ground water level prediction task is performed with recurrent neural networks, random forest and vector autoregression. The input data consists of weather data and other ground water level time series. The MAE and R-squared is evaluated and the variation in performance of the neural networks is discussed, as is the sensitivity of the performance to the input data. In part two, contamination of the ground water is predicted with artificial neural networks and random forest models. The input data consists of measurements of other substances and properties of the ground water as well as geochemical data from the soil and bedrock. The performance of the models are evaluated on MAE and R-squared for a regression setting and with F1-score and accuracy for a classification setting. We also perform a feature importance study to understand which features are most useful for making good predictions. (Less)
Infographics: Types and Prospects of Development

The article is devoted to the infographics as one of the perspective source of mass media. The article reveals five types of infographics as well as the prospects of its development.
La riformulazione in inglese del discorso legale italiano come processo di ‘ELFentextualization’

This paper introduces a new model defined ELFentextualization , devised for the English reformulation of the Italian legal discourse in the field of Migration. It is meant as a pedagogical and practical tool that can help intercultural linguistic mediators increase their competence at the time of analysing and reproducing source texts for an audience of non-native English speakers. In particular, our model is adopted here for the retextualization into English as a ‘lingua franca’ (ELF) of a number of extracts from the ‘Bossi-Fini’ law and ‘Testo unico sull’immigrazione’, which indicate the actions that migrants have to follow to request residence document. After illustrating the theoretical grounds of the ELFentextualization process, this paper will examine the selected corpus of English retextualizations of Italian legal discourse. The comparison between the original and ‘ELFentextualized’ versions will exemplify that the latter are elaborated after an initial phase of ‘text analysis’, which is meant to infer the gist of the message. The essential pieces of information are then reconstructed by resorting to lexical and syntactic simplification, as well as to the macrorules for text summarization. Finally, this paper enquires into the initial phases of a reception study of the examined reformulations, which will help discuss the lingua-franca connotation of the English uses in the texts under examination.
Providing a comprehensive model for improving employee productivity indicators in Agricultural Jihad Organization of Ilam province

&#x0D; The current study aims to design and explain a comprehensive model for employee productivity improvement indicators. This research is objectively a fundamental-practical study, naturally a survey research, and paradigmatically an exploratory blended research. The statistical population consists of human resource experts and organizational behavior in the qualitative section. The targeted sampling and snowball were used to identify the experts. Twenty experts were employed due to the data adequacy. To test the model, 245 employees of Agriculture Jihad Organization of Ilam province were used. The analysis method included the grounded theory and the structural equation approach. Data were collected through deep interviews along with a 69 item questionnaire. The grounded results indicate the fact that the supportive atmosphere and attention to the learning organization were identified in causal conditions. The main phenomenon of individual characteristics was identified in relation to the intervention conditions, the internal and external factors of the organization. The governing body of organizational culture and laws and regulations and merit-based leaders and human resources skills have been identified in relation to the main strategy of human resource management (HRM) practices. The main consequence of this model is also the productivity of human resources, and the results of the partial least squares model were approved and its relationships were correctly designed.
Designing Performance Based Budgeting Model by combine Cognitive Map, Hierarchical Analysis and TOPSIS in Social Security Organization

Subject and Purpose of the Article: The Social Security Organization, like any other for-profit and non-profit organization, is always faced with the issue of budget allocation. This article aims to design a performance-based budgeting model with an emphasis on the model used in performance based budgeting (input, process, output and outcome continuum) in the Social Security Organization. Research Method: The elements of this model are identified using cognitive mapping technique, organizational experts' opinions and semi-structured interviews, identification, based on hierarchical analytical technique of leveling, using pairwise comparisons to determine the coefficient of importance and using TOPSIS technique at each priority level. Were classified. Research Findings: The research findings show that the organization for its survival should pay special attention to the sustainability of economic activities in the country and on the other hand to perform optimal organizational affairs, reduce unnecessary traffic… Virtual social security should be expanded and developed. Conclusion, Originality and its Contribution to the Knowledge: In order to get rid of the current recession, the organization should refrain from relying solely on receiving premiums as the main source and spend most of its funds on major matters such as developing national organizational, operational and evaluation plans.
Selected papers from IEEE/CIC ICCC 2018

IEEE/CIC International Conference on Communication in China (ICCC) is one of the flagship conferences in Asian-Pacific region held by IEEE Communication Society (ComSoc) and China Institute of Communication (CIC). IEEE/CIC ICCC 2018 was held in Beijing, China, on August 16–18, 2018. The key theme is Ubiquitous Network, Intelligence and Society, which broadly covers the theoretical and practical innovations in the area of communications. The technical program of IEEE/CIC ICCC 2018 features 6 world-class keynote speeches which are presented by Wei-hua Zhuang (Fellow of IEEE, Royal Society of Canada, Canadian Academy of Engineering, and Engineering Institute of Canada), Abbas Jamalipour (Fellow of IEEE, IEICE, and Institution of Engineers Australia), Tao Zhang, Ying-Chang Liang (IEEE Fellow), James Kimery, and Sumei Sun (IEEE Fellow). The invited speakers of IEEE/CIC ICCC 2018 included Yue Gao, Zhi Ding (IEEE Fellow), Tony Q.S. Quek (IEEE Fellow), Kwang-Cheng Chen (IEEE Fellow), Jian-wei Huang (IEEE Fellow), Zhu Han (IEEE Fellow), Klaus Moessner, Tommy Svensson and Qinyu Zhang.
LibGuides: LibGuides Website Tips: Home

This guide accompanies PALNI's Website Style Guide and focuses on assisting you to create a custom website in LibGuides
THE TRANSLATION OF CHINESE IDIOMS IN CHINESE TELEVISION SERIES “ROMANCE OF THE CONDOR HEROES”

Translation is one kind of ability that need to be master by foreign language learners in order to become a good translator. However, translation is not an easy task. Beside needs to have a certain foreign language ability, translators also need to understand the culture between the two countries. Chinese-Indonesian translation is no exception. It is necessary for translators to understand Chinese and Indonesian cultures before they can translate the meaning that the other party wants to express. For translators, the most difficult to translate is idioms, because Chinese people like to use idioms to express their thoughts in their daily life, but the use of idioms in Indonesian is not very frequent, so idioms become a difficult point for translators. In order to understand the translation of Chinese idioms more deeply and obtain more reliable information, we carefully analyzes, compare and categorize the Chinese idiom translation on the The Condor Heroes TV series (1-26 episodes, broadcast on INDOSIAR TV). According to the analysis of 198 Chinese idioms translation, we found 70.71% correct translation and 29.29% error translation, among them 25 translations (12.63%) are consistent with the Chinese idiom meaning, 115 translations (58.08%) are translate based on context, 32 translations (16.16%) are errors translation, and 26 idioms (13.13%) that were not translated.