Reviewerly/exHarmony huggingface dataset:
Clustering k-means untuk menentukan zona pasar tanah pada penilaian KJPP Rija Husaeni dan Rekan

One of the jobs is Appraisal Service, whice is determined by this fee is fixed costs such as : land, buildings, vehicles, machinery, and other buildings. In this report, one of which requires information as information as management and producing reports, in KJPP Rija Husaeni and Partners, the published production reports are recapitulated by the admin as market information data, currently market data information is recapitulated by the admin division in the form of The data entered is based on published report numbers and has not been grouped based on the area’s land market zone to make it easier if there are employees of KJPP Rija Husaeni and Partners who need information about the area’s land market zone. On the basis of identifying the problems described above, a data processing process using a data mining technique is required. The data mining technique used in this research is clustering with the K-Means algorithm to determine the land market zone in the KJPP Rija Husaeni and Partners assessment.
Treemap Layout Based on Monte Carlo Tree Search

Treemaps are a commonly used method for hierarchical data visualization.The previous research shows that three treemap layout algorithms(SQR, STR, SPI) that meet the principle of gradually adding points on four common optimization indicators(average aspect ratio, stability, consistent data, readability) have their own advantages and disadvantages.Both Strip and Spiral algorithms result in relatively large aspect ratio of layouts, and the squarified treemap has some room for optimization in the aspect ratio.Based on Monte Carlo tree search, the corresponding search tree is constructed while laying out the treemap and the upper confidence bound formula is used as the selection criterion for the search path.For the three layout algorithms, the arithmetic average aspect ratio and the newly proposed weighted aspect ratio are improved within acceptable time for users.To show the effectiveness of the algorithm, the evaluation with the constructed single-layer dataset which with 3 different distributions and 7 different scales and multi-layer real dataset is conducted and then the results are compared with the original algorithm.The guidelines for users to select a suitable layout algorithm and set proper parameters are also provided.
Transformer with Syntactic Position Encoding for Machine Translation

It has been widely recognized that syntax information can help end-to-end neural machine translation (NMT) systems to achieve better translation.In order to integrate dependency information into Transformer based NMT, existing approaches either exploit words' local head-dependent relations, ignoring their non-local neighbors carrying important context; or approximate two words' syntactic relation by their relative distance on the dependency tree, sacrificing exactness.To address these issues, we propose global positional encoding for dependency tree, a new scheme that facilitates syntactic relation modeling between any two words with keeping exactness and without immediate neighbor constraint.Experiment results on NC11 German→English, English→German and WMT English→German datasets show that our approach is more effective than the above two strategies.In addition, our experiments quantitatively show that compared with higher layers, lower layers of the model are more proper places to incorporate syntax information in terms of each layer's preference to the syntactic pattern and the final performance.
Tuple Interpretations for Higher-Order Complexity

We develop a class of algebraic interpretations for many-sorted and higher-order term rewriting systems that takes type information into account. Specifically, base-type terms are mapped to tuples of natural numbers and higher-order terms to functions between those tuples. Tuples may carry information relevant to the type; for instance, a term of type nat may be associated to a pair ⟨ cost, size ⟩ representing its evaluation cost and size. This class of interpretations results in a more fine-grained notion of complexity than runtime or derivational complexity, which makes it particularly useful to obtain complexity bounds for higher-order rewriting systems.We show that rewriting systems compatible with tuple interpretations admit finite bounds on derivation height. Furthermore, we demonstrate how to mechanically construct tuple interpretations and how to orient β and η reductions within our technique. Finally, we relate our method to runtime complexity and prove that specific interpretation shapes imply certain runtime complexity bounds.
Basic norms of the scientific ethos

The article aims to formulate and differentiate the norms of classical science, modern fundamental science, and applied science as wel as determine the areas where they intersect. The four standards of scientific ethos (CUDOS) proposed by R. Merton are considered: 1) Communalism: belief in the common achievements of scientific knowledge; 2) Universalism: the truth of statements should be evaluated regardless of the age, gender, race, authority and titles of scientists; 3) Disinterestedness: the primary stimulus of a scientist’s activity is a disinterested search for truth; 4) Organized Skepticism: the scientist is responsible for evaluating the soundness what other colleagues have done as well as the reliability of their results. Using the golden rule of morality, 12 more norms are formulated (5–16 in the text). A tendency of abandoning of Merton’s norms has arisen with the development of applied science and its commercialization. As an example, standards of the PLACE system by J. Ziman are described (ownership, patent; solution of local problems determined by authoritarian management; work orders; implementation of work by a limited circle of experts). When rejecting Merton’s norms, the features of fundamental and applied science are not taken into account. The article shows that Merton norms and the norms provided in paragraphs 5–16 relate to classical science and modern fundamental science. Ziman’s norms as well as the norms in the paragraphs noutid are applicable to applied science. The norms (5–16) are common to fundamental and applied science. Violations of the norms of scientific ethics, such as falsification of empirical material, plagiarism, incorrect quotation, undeserved authorship, and sale of dissertations, are highlighted the article. Their objective and subjective reasons are revealed. Although the behavior of scientists does not fully coincide with the norms of scientific ethos, it produces an important regulatory influence on the scientific community as an ideal, orienting scientists to achieve maximum objectivity of knowledge and its use for the benefit of society.
Design of image super-resolution reconstruction algorithm based on sparse representation

In order to solve the problem of high complexity and poor reconstruction effect of traditional reconstruction methods and make the super-resolution reconstruction images have good clarity, a new super-resolution reconstruction algorithm based on learning is studied based on sparse representation principle. The super-resolution optimal solution is realized. By inputting a low-resolution image, the corresponding image feature block can be obtained by bicubic interpolation. A set of sparse representation coefficients can be obtained in the low resolution part of the dictionary (DL). According to the set of sparse representation coefficients, the high resolution image blocks are reconstructed by reverse projection on the high resolution dictionary (Dh), and the complete high resolution images are obtained by combining them together. The simulation results show that compared with the bicubic interpolation method, the reconstructed image of this algorithm has better quality.
Crustal contamination in the generation of Liuyuan basalts: Implication for Permian evolution of the southern Central Asian Orogenic Belt

Liuyuan basaltic belt located in the southern Beishan Orogenic Belt plays an important role to constrain the evolution of the southern Central Asian Orogenic Belt (CAOB).However, the genesis of the Liuyuan basaltic belt is ambiguous.Here bulk rock elements and Sr-Nd-Pb-Hf isotopes and zircon U-Pb ages and Lu-Hf isotopes were analyzed for the Liuyuan basalts and within gabbros, respectively.Two gabbro samples from the central Liuyuan basaltic belt yielded zircon 206 Pb/ 238 U ages of 288±1 Ma and 294±1 Ma, respectively, which represents the formation time of the Liuyuan basaltic belt in the early Permian.Liuyuan basalts show MORB-like rare earth element (REE) patterns andε Hf(t) values are as high as 15.4, which suggest Liuyuan basalts derived from a depleted mantle source.However, the presence of positive Pb anomalies, Nb-Ta depletions and high Th/Yb ratios and evolved Sr-Nd-Pb-Hf isotopic compositions (( 87 Sr/ 86 Sr) i = 0.703-0.705,ε Nd(t) = 4.6-9.2,( 206 Pb/ 204 Pb) i = 17.80-18.36,ε Hf(t) = +11.0 to +15.4) indicate the contribution of continental crustal materials in the generation of Liuyuan basalts.Combing with covariation of Pb anomalies (Pb*= 0.36-1.41)with Sr-Nd-Pb-Hf isotopic compositions, we conclude that Liuyuan basalts have been contaminated by a low proportion (<10%) of continental crustal materials rather than enriched mantle source, which is consistent with one gabbro sample shows obviously low bulk rock ε Hf(t) than within zircons (13 versus 14-17).Therefore, Liuyuan basaltic belt should be formed in a continental extension environment instead of an oceanic setting, which thus can not be considered as a Permian ophiolitic suture as previous suggestion to represent the early Permian closure of the Paleo-Asian Ocean in the southern CAOB.
Pengoptimalan Perpustakaan Sekolah SMP Batik Program Khusus Surakarta melalui Aplikasi SLiMS

The school library is one of the crucial supporting facilities in learning. This study aims to describe the optimization of school libraries through the SLiMS application. This research is a qualitative research with the type of descriptive research. The data source in this study is the SLiMS application while the data is the use of the SLiMS application at the Surakarta Special Program Batik Junior High School for optimizing the school library. Data collection techniques are content analysis, observation and note-taking techniques. The data analysis method in this study uses an interactive model of Milles and Hubberman. The results of the study show that the optimization of the school library can be done by using the SLiMS application. This application can be used by librarians to manage school libraries. The optimizations are (1) arranging library administration for the Surakarta Special Program Batik Middle School, (2) classifying the books in the library, and (3) cataloging and attaching labels to books. With this optimization, it is hoped that it will support student achievement and higher interest in library.
Sn (Cu) skarnoid-type mineralization in the Visean Trournaisian volcano-sedimentary series of the northeastern Massif Central, implications on the conceptual model.

The metallogenic model of Sn-W mineralization involves hydrothermal circulations in the vicinity of the roofs of granite bodies (eg: apex, undulations, dike systems, network of faults, etc.).In general, the models suggest a depth emplacement between 3 and 5 km and the structures inherited from surface volcanic systems are neglected because they are not observable.In variscan belt, the caldera of Teplice, within the Bohemian massif, is known to be earlier compared to the magmatic manifestation related to Sn-W mineralization (e.g.Casas-Garcia et al., 2019).In the Massif Central, the relationship between the volcanic edifices and mineralizations has not been studied.In the western part, the Sn-W deposits are related to granitic plutons emplaced from the Visean to the Permian times (Harlaux et al., 2018).However, in this area, there is no witness of volcanic activity.In the northeastern part, no age is known for the Sn-W mineralizations, while in this region the series of the 'Tufs Anthracifères" (Tournaisien -Visean 345-325 Ma) host igninbrites and could have formed a favorable calderic environnent for the Sn W mineralizations.In this study we propose to describe the mineralization of Châtelet in the north-east of the Massif Central near the aluminopotassic granite of Folin dated at 337 Ma +/-12 Ma, and hosted in Tournaisian sediments and Visean formation ignimbritic.The mineralogy of the Chaletet showing suggests the formation of a Sn (Cu) skarnoid.The relative chronology between granite, sediments, ignimbrites and mineralization will be discussed in order to propose a conceptual model that can account for the observations.
Peningkatan Hasil Belajar Materi Satuan Waktu Melalui Penerapan Metode Make a Match

This study aims to determine whether or not there is an increase in the learning outcomes of the Unit of Time material through the application of the make a match method to Class 3-A students of SD Negeri Kendangsari I/276 Surabaya and to find out how much the increase in the learning outcomes of the Unit of Time material through the application of the make a match method in Class 3-A students of SD Negeri Kendangsari I/276 Surabaya. The research was carried out with a two-cycle action implementation mechanism with two meetings in each cycle. The subjects of this study were students of class 3-A SD Negeri Kendangsari I/276 Surabaya, totaling 39 students. In the study, it was found that the percentage of student learning outcomes in the Time Unit material from before this learning model was applied which only had an average of 54.3 to 70.9 in the first cycle and 77.1 in the second cycle. Based on the results of data analysis and discussion, it can be concluded that there is an increase in the learning outcomes of the Time Unit material through the application of the make a match method to Class 3-A students of SD Negeri Kendangsari I/276 Surabaya. The increase in learning outcomes of the Time Unit material through the application of the make a match method in Class 3-A students of SD Negeri Kendangsari I/276 Surabaya is an average of 23%.
Online Shopping Decisions Enhancement with Fuzzy Expert System

Purpose Nowadays, due to the rapid development of the Internet and the rapid growth of web pages, many electronic websites are using product recommendation systems to guide users to the products that they need. Such systems usually provide a list of suggested items that the user may prefer. These systems are provided as a support tool to help users obtain information that best meets their needs. These systems can actually improve user decisions, resulting in increased sales and mutual customer satisfaction. The purpose of the paper is to improve user decisions in online shopping using fuzzy expert system. Methodology: The statistical population of this study consists of 30 experts in the field of e-commerce who were selected by combining two methods of deliberate sampling and snowball sampling. To analyze the status of improvement of users' decisions, a fuzzy expert system was created using input variables business reputation status, environmental factors status in e-commerce, online store features; product specifications; user/customer characteristics. Findings: The final results showed that there is no significant difference between the results of the created expert system and the mean of expert opinions. Originality/Value: In this paper, a conceptual Model to improve user decisions in online shopping using a fuzzy expert system is designed.
Python for Automating Machine Learning Tasks

Machine learning is used in a variety of computational tasks where designing and programming explicit algorithms with good performance is not easy. Applications include email filtering, recognition of network intruders or malicious insiders working towards a data breach. In this article we will focus on basics of machine learning, tasks and problems and various machine learning algorithms. The article discusses the Python programming language as the best language for automating machine learning tasks.
Development of software and algorithms of parallel learning of artificial neural networks using CUDA technologies

The object of research is to parallelize the learning process of artificial neural networks to automate the procedure of medical image analysis using the Python programming language, PyTorch framework and Compute Unified Device Architecture (CUDA) technology. The operation of this framework is based on the Define-by-Run model. The analysis of the available cloud technologies for realization of the task and the analysis of algorithms of learning of artificial neural networks is carried out. A modified U-Net architecture from the MedicalTorch library was used. The purpose of its application was the need for a network that can effectively learn with small data sets, as in the field of medicine one of the most problematic places is the availability of large datasets, due to the requirements for data confidentiality of this nature. The resulting information system is able to implement the tasks set before it, contains the most user-friendly interface and all the necessary tools to simplify and automate the process of visualization and analysis of data. The efficiency of neural network learning with the help of the central processor (CPU) and with the help of the graphic processor (GPU) with the use of CUDA technologies is compared. Cloud technology was used in the study. Google Colab and Microsoft Azure were considered among cloud services. Colab was first used to build a prototype. Therefore, the Azure service was used to effectively teach the finished architecture of the artificial neural network. Measurements were performed using cloud technologies in both services. The Adam optimizer was used to learn the model. CPU duration measurements were also measured to assess the acceleration of CUDA technology. An estimate of the acceleration obtained through the use of GPU computing and cloud technologies was implemented. CPU duration measurements were also measured to assess the acceleration of CUDA technology. The model developed during the research showed satisfactory results according to the metrics of Jaccard and Dyce in solving the problem. A key factor in the success of this study was cloud computing services.
ERROR ANALYSIS ON INDONESIAN YOUTUBE VIDEOS

This study aims to provide education to the wider community in general and to readers or for novice learners of English about errors that often occur or are commonly done by Indonesian YouTubers when speaking English where these YouTubers can be grouped into non-fluent speakers or beginner English learners. The result is that the errors made by these YouTubers can be categorized into four major groups, namely; discourse error, grammatical error, syntactic, and lexical error. The object of his research is limited to videos uploaded to YouTube.com by these YouTubers in a limited number. The methods and approaches used in this research are qualitative methods and objective approaches.
Tangible Interactions to Navigate Through Space and Time Inside a Virtual Environment

In order to present the results of their work to the general public, historians of science and technology represent technical systems, the activities associated to them and their temporal evolutions in Virtual Reality. The immersed user can then navigate spatially to observe the studied technical systems and temporally according to 2 time scales to observe the temporal evolution of these systems. The different concepts and scales of navigation make this task complex. We therefore propose a model for representing time in an activity model and a tangible user interface allowing a user to navigate spatially and temporally within a Virtual Environment.
JUEGO Y ROBÓTICA. PERSPECTIVAS ACTUALES DESDE LA DIDÁCTICA DE LENGUAS Y CULTURAS

Recently, the evolution of processes and means of production has given rise to the “fourth industrial revolution” (4IR), marked by the acceleration of technological innovation as well as by the preponderant role of artificial intelligence, robotics, 3D printing, the Internet of Things and Big Data. The 4IR forces us to reconsider the basic principles of education in general and foreign language teaching/learning in particular. In this paper, we will explore the current perspectives of robotics from the foreign language teaching and learning field, with a special emphasis on the theme of game and play. After underlining the relationship between 4RI and the so-called 21st century competencies, we will briefly examine the effects of 4IR in foreign language teaching and learning field and mention the potential educational roles assigned to the most recent information and communication technologies within the previously described context. We will then turn our attention to an as yet little studied area at the crossroads of foreign language teaching and learning field, robotics and game studies: we will present and discuss some of the existing developments and suggest some possible research directions.
Increasing Fairness in Predictions Using Bias Parity Score Based Loss Function Regularization

Increasing utilization of machine learning based decision support systems emphasizes the need for resulting predictions to be both accurate and fair to all stakeholders. In this work we present a novel approach to increase a Neural Network model's fairness during training. We introduce a family of fairness enhancing regularization components that we use in conjunction with the traditional binary-cross-entropy based accuracy loss. These loss functions are based on Bias Parity Score (BPS), a score that helps quantify bias in the models with a single number. In the current work we investigate the behavior and effect of these regularization components on bias. We deploy them in the context of a recidivism prediction task as well as on a census-based adult income dataset. The results demonstrate that with a good choice of fairness loss function we can reduce the trained model's bias without deteriorating accuracy even in unbalanced datasets.
Safe Polynomial Trajectory Generation for Quadrotor Flight in Dense Environments

A safe trajectory generation method for quadrotor flight in three-dimension dense environments is proposed in this letter. We propose a path search algorithm called Safe A* to search a safe, collision-free initial path in cluttered environments. Subsequently, a safe and smooth trajectory with minimum snap is obtained by solving a quadratic problem in closed form. Our method is tested in various simulations, results turn out that our method can significantly increase the success rate of trajectory generation, and generate a safer trajectory as compared to the standard A* algorithm.
Teachers' perspectives on digitalized education and deterrents to the use of digital products in educational processes

In a globalizing world, the development of the educational field is considered the most important part of international competitiveness and improvement projects. This article aimed to research the educators' views on the use of digital technology and products in their educational process. Questionnaire was used as a research technique, with 147 participant teachers at general secondary schools in Russia. The analysis of the data was through coding. The true nature of the ecosystem of digitalized education was fully covered by the authors in this study. According to educators, the main advantages of digital technology and digital technology products for the educational field are education continuity, accessibility, individualization, freedom of choice, social equality for students and quality of education. Authors of this article revealed that deterrents against using digital products and digital technology in education processes in teachers' opinion are lack of motivation, funds, knowledge and methodology.&#x0D; Keywords: students, schoolteachers, school educators, pedagogues, educational settings, educational environment, digital products, digital technology.