Reviewerly/exHarmony huggingface dataset:
A Universal Fusion Strategy for Image Super-Resolution Jointly from External and Internal Examples

The validity of learning-based image super-resolution is largely limited by supporting dataset. Neither external-based nor internal-based super-resolution methods can perform well in real applications such as medical endoscopic images. This paper studies the strategy of joint learning of two kinds of methods. We first build sub-dictionaries and study the corresponding mapping matrices on the respective samples. Due to the consistency of learning strategies, we establish joint mapping matrices based on the distance between the input low-resolution image patches and the dictionary atoms in the reconstruction phase. We adopt the nearest neighbor strategy and the weighted joint strategy to obtain the new mapping matrix. The high-resolution image is reconstructed by the new mapping model. The experiments prove the effectiveness of our strategy.
Zero-offset internal multiple modeling in the image domain

In this work, we show an internal-multiple-modeling scheme acting on the postack-migrated domain.This scheme applies when prestack data is not available yet and when internal multiples are present, posing challenges to seismic interpretation.The method is computationally inexpensive, since it uses the Exploding Reflector Model and oneway propagation.We describe the theory with details of the method, and show 3D results on real data.
THE EFFECT OF USING SENSORY IMAGES AND QUESTIONING STRATEGIES ON THE STUDENTS’ ABILITY IN READING COMPREHENSION

Abstract Sensory images strategy talks about experience, experience is significant aspect for background knowledge. So, sensory images strategy guides the students to represent of their experience in their memories. The Questioning Strategy is a way of forming questions as you read in order to deepen understanding and enjoyment of the text. The Questions have many deals with clarifying the meaning or a phrase or passage, exploring important themes, considering the author’s technique, or learning more about something you find that interesting. The second part of the Questioning Strategy is finding an answer, either on your own or with the help of a teacher or friend. The Aims of Study were to know Students’ Understanding to the text when taught with Sensory Images strategy and Students’ Understanding to the text when taught with Questioning strategy. To know differences the students’ ability in reading comprehension when taught with Sensory Images and Questioning strategies.
Features of students ’ vision of teachers

The article is devoted to the analysis of an important aspect of pedagogical interaction between teachers and students as the idea/vision of each other, in particular the image of the teacher through the eyes of the student. The vision of a communication partner is the basis for the formation of an attitude towards him and the activities performed by him. A positive attitude to the teacher motivates cognitive activity of students, stimulates interest in the future profession, i.e. is a factor of productive interaction in the educational process. The study is based on the use of projective techniques, which revealed the differences in students ’ ideas about the ideal and the real teacher. Assessing the overall results of the study, we can say that there is a clear difference in the assessments of teachers in comparison with the student’s ideas about the ideal teachers. Students negatively characterize the real pedagogical interaction and want more softness, joy, positive emotions from interesting teachers. Taking into account the data obtained will help to improve the efficiency of the pedagogical process.
OPTIMASI PERSEDIAAN MATERIAL TRANSFORMATOR MENGGUNAKAN METODE JARINGAN SYARAF TIRUAN DAN ANT COLONY OPTIMIZATION DI PT. PLN (PERSERO) AREA JEMBER

&#x0D; &#x0D; &#x0D; Optimization comes from basic words optimal which mean the best, highest, most beneficial, make the best, and do optimizing (make the best, highest, etc.). Forecasting is an attempt to predict the future. Prediction can be done by studying the pattern of historical data to find a model that can show future data. This methoed is called time series data forecasting. One of many algorithm that can builds model from historical data is Artificial Neural Networks (ANN). The algoritm mimics the human neuron system so that is can solve non-linear problems, such as the forecasting of transformator demand.&#x0D; In the process of modeling, ANN will always update the connection weights to find the optimum weights. In this final project ANN will be trained by Ant Colony Optimization (ACO). Based on the results can be seen that ANN with ACO as learning methods can predict transformator demand with good result.&#x0D; &#x0D; &#x0D;
Pembelajaran Bahasa Kedua yang Menyenangkan Menggunakan Metode Bermain Peran pada Siswa

This research aims to describe the learning of the second language that is pleasing physically and nonphysically after using the role-playing method in class II A MI NU Miftahul Huda 02 Karangmalang. The research method used in this study is descriptive, this form of research is a survey, the nature of this research is qualitative and this type of research is the Research Action Class (PTK) which in its implementation collaborate With class teachers. The subjects in this study were 1-grade teacher and 18 grade II students A. Pleasant Second Language learning using a role-playing method in class II A MI NU Miftahul Huda 02 Karangmalang increased from baseline by 19.59% to The II cycle became 76.95% increased by 57.36% with the "high enough".
PENGARUH MEDIA PEMBELAJARAN MACROMEDIA FLASH 8.0 TERHADAP HASIL BELAJAR BIOLOGI PADA MATERI SISTEM PEREDARAN DARAH MANUSIA

The purpose of this study was to determine whether there was influence of macromedia flash distribution media on learning outcomes in biology in circulatory system material in humans. The research method used is qualitative with the type of experimental research used, namely True experimental with the Control Group's pre-post test Design research design. In this study using two research samples, which were divided into control classes and experimental classes with a sample of 47 students. The results of the research show that there is an influence of macromedia flash learning media on student learning outcomes with the average value in the experimental class is the value of pretest 63.5 while the posttest value is 84.3.
RELATIONSHIP BETWEEN SOCIAL NETWORKS AND DIGITAL MEDIA ENGAGEMENT AND STUDENTS´ MOTIVATION TO LEARN ENGLISH

The paper deals with the relationship between social networks and digital media engagement and students' motivation to learn English. The research included 353 engineering students at XXX, who answered the questionnaire which was divided into two parts considering social networks and digital media engagement, and motivation to learn English. An exploratory factor analysis has yielded three distinct factors of social networks and digital media engagement and one factor of motivation to learn English. The research provided empirical confirmation of the existence of the mentioned factors. This four-factor solution was found to be statistically reliable, and it has been shown that factors are positively associated. Moreover, the research findings proved that students' motivation to learn English is more fostered with the need to read, learn and chat than to craft, produce and develop digital and social media content. Students have integral motivation for learning English through social networks and digital media.
Improving Students’ Writing Coherence Through Graphic Organizers

&lt;p&gt;This research is aimed at finding out: 1) To what extent graphic organizers can improve students’ writing coherence; 2) How graphic organizers can be implemented effectively in improving students’ writing coherence. The research method used in this study is classroom action research. The subject of the research was the students of class VIIIB of a state Junior High School, Kebumen which consist of 32 students. In this research, the collected data were analyzed using a qualitative and quantitative technique. The result of the study shows that the students’ mean score of writing coherence on pre-test is 56.35, then it improves in post-test 1 to ­­­­­­­­70.45 and 79.4 in post-test 2. Moreover, the result of the study also shows that graphic organizers can be implemented effectively if the teacher: (1) gives clear explanation and examples of graphic organizers; (2) guides and monitors the students during the process of writing; (3) provides exercise of grammar; and (4) keeps the students motivated in writing. Considering the result of the study, the researcher suggests that an English teacher had better implement graphic organizers in teaching writing in order to help the students improving their writing coherence. &lt;strong&gt;&lt;em&gt;&lt;/em&gt;&lt;/strong&gt;&lt;/p&gt;
MFM Net: modify feature map for object detection

Object detection, the important task in computer vision, is widely used in face recognition and unmanned drive. Based on VGG16<sup>1</sup> , a fast and simple backbone comparing to deeper network, this paper proposes a new block, named Modify Feature Map (MFM) Block, to improve feature maps, leading from two facts: different channel in the feature map represents different feature in an image; every position in a feature map belong to the object or background. We establish MFM Net to predict location and classification. Some experiments on Pascal VOC 2007 and MS COCO show that MFM Net can achieve high performance with real-time speed.
Comparative Assessment of Pulsar Families using GMM and DPGMM

Mixture models are frequently employed in astronomical studies to model observed data and interpret results. Gaussian mixture model (GMM) is probably the most widely used one due to its simplicity. To illustrate, GMM had been applied to the pulsar data set in a previous study and discovered six clusters. On the other hand, there are more sophisticated mixture models e.g. Dirichlet process Gaussian mixture model (DPGMM). It is a Bayesian non-parametric model such that it includes prior distributions for model parameters and automatically explores the optimum number of clusters in a data set, in contrast to GMM. In this study, we repeated the application of GMM, and also tested DPGMM as a first time on a larger pulsar data set. It is revealed that there are six clusters in the data set as presented in the former study, according to both GMM and DPGMM. However, the estimated parameters of both models differ from each other. We, then, compared the clustering performance of models with respect to silhouette coefficients. Accordingly, it is observed that DPGMM exhibits better clustering performance. As a further analysis, we compared the classification performance of models. Apparently, DPGMM performs, once again, better than GMM in discriminating selected pulsar families.
Vietnamese Noun Phrase Chunking Based on BiLSTM-CRF Model and Constraint Rules

In natural language processing, the use of chunk analysis instead of parsing can greatly reduce the complexity of parsing. Noun phrase chunks, as one of the chunks, exist in a large number of sentences and play important syntactic roles such as subject and object. Therefore, it is very important to achieve high-performance recognition of noun phrase chunks for syntactic analysis. This paper presents a Vietnamese noun phrase block recognition method based on BiLSTM-CRF model and constraint rules. This method first carries out part-of-speech tagging, and integrates the marked part-of-speech features into the input vector of the model in the form of splicing. Secondly, the constraints rules are obtained by analyzing the Vietnamese noun phrase blocks. Finally, the constraints rules are integrated into the output layer of the model to realize the further optimization of the model. The experimental results show that the accuracy, recall and F-value of the method are 88.08%, 88.73% and 88.40% respectively.
Study of Robusticity Index of Femur in Gujarat Region

Robusticity index of femur is obtained by dividing sum of midshaft AP diameter & transverse diameter with the physiological length of femur. It provides relation between midshaft femoral diameters with the femoral length. Present study was aimed to ascertain values of robusticity index in Gujarat region and to evaluate its possible efficacy as a racial characteristic. Study sample consisted of 242 dry, human, adult femora [176male (87 right, 89 left) and 66 female (32 right, 34 left)] from skeletal collections of Anatomy departments of M. P. Shah Medical College, Jamnagar, Gujarat & P. D. U.
Graphic preparation of university students as a holistic system

Graphic training of students of technical universities is considered as an integral system in the relationship of the components.The stages of the University period of training of students in graphics are presented, and also the knowledge, abilities, skills formed in the process of studying graphic disciplines are allocated.
Virtual Machine Placement Optimization in Cloud Environment: A Survey

Energy conservation in data centers has been an active research area in cloud computing in recent times. Effective energy conservation can be achieved using server consolidation, which aims at utilizing server resources efficiently and minimizing the number of active Physical Machines (APMs) running in a data center. Effective placement of virtual machines is necessary to optimize server consolidation. Virtual machine placement techniques provide a suitable mapping of hosts to VMs to reduce energy consumption and minimize SLA violation in data centers. This paper presents a comprehensive survey of different Virtual Machine placement techniques utilized in cloud computing, revealing the advantages and limitations of the algorithms.
A Mahalanobis Distance-Based Fitness Approximation Method for Estimation of Distribution Algorithms in Solving Expensive Optimization Problems

Fitness approximation methods have been widely employed in evolutionary algorithms to reduce the number of fitness evaluations in solving expensive optimization problems. As a simple and efficient approximation approach, k-nearest neighbors (kNN) estimates the fitness value of an unknown solution by combining the fitness values of its nearest neighbors according to a similarity measure. kNN generally adopts the Euclidean distance as the similarity measure, which may limit its performance as the solution distribution information is underutilized in the approximation process. Aiming at this issue, this study proposes a Mahalanobis distance-based k-nearest neighbors (MkNN) to improve the approximation accuracy by utilizing the distribution information. Compared to the Euclidean distance-based kNN (EkNN), MkNN adopts the Mahalanobis distance to measure the similarity between solutions, which is capable of capturing the distribution information of solutions and thus can improve the approximation efficiency. Furthermore, considering that the main idea of estimation of distribution algorithms (EDAs) is also to learn the distribution information of solutions, the proposed MkNN as well as EkNN are combined with an EDA and two new algorithms named EDA-MkNN and EDA-EkNN, respectively, are developed for expensive optimization. The performances of EDA-MkNN and EDA-EkNN were comprehensively tested on a set of 28 benchmark functions and compared with that of a typical EDA. Experimental results demonstrate that MkNN and EkNN could effectively improve the performance of EDA in solving different kinds of expensive optimization problems and MkNN can have an edge over EkNN on condition that the distribution information is well captured.
Design of Genre Based Learning Model Integrated in Literacy Activities and Character Strengthening for Middle School Students

Government policies regarding education continue to experience innovation to improve education.The policies are like curriculum changes, school literacy movements, and strengthening student character.However, integrating this into the learning process is not easy.Therefore, learning innovations are needed to overcome this.One of them is the development of learning models.The purpose of this study was to develop a genre based learning model design that integrated literacy activities and character strengthening for middle school students.This type of research is research and development.The learning model development process is carried out following the Plomp model (preminary research, prototyping phase, and assessment phase).The results of this study produce a prototype of a learning model consisting of build context, explore genres, building field knowledge, report reading, analyzing genre, constructing individual texts/groups, evaluation, presentation and reflection.The learning model that is designed in the category is very valid and can then be tested.
Fuzzy methods in university management problems

The article is devoted to the issues of using the apparatus of fuzzy sets in university management problems.The relevance and feasibility of a fuzzy approach in the processing of corporate data of the university is shown, the implementation of fuzzy queries to an integrated relational database is presented according to two criteria using a web interface.
ULSAna: Universal Language Semantic Analyzer

We present a live cross-lingual system capable of producing shallow semantic annotations of natural language sentences for 51 languages at this time.The domain of the input sentences is in principle unconstrained.The system uses single training data (in English) for all the languages.The resulting semantic annotations are therefore consistent across different languages.We use CoNLL Semantic Role Labeling training data and Universal dependencies as the basis for the system.The system is publicly available and supports processing data in batches; therefore, it can be easily used by the community for research tasks.
ARIA 3.0: A Modern Approach to Web-based Music Festival Registration Systems

Administration, Registration, and Information Assistant (ARIA) 3.0 is a full-stack web- application developed to assist the Northern Nevada Music Teachers Association (NNMTA) with numerous music festivals and competitions occurring annually. ARIA’s primary func- tionalities are the following: event creation, event scheduling, event management, user management, document processing, and payment processing. Prior to the creation of ARIA, these functionalities were performed using-paper methods. This approach was tedious, inefficient, and prone to errors. The previous versions of ARIA (1.0/2.0) were developed to address these issues using the WordPress platform and WordPress plugins. While successful, new business requirements proposed by NNMTA have demonstrated that WordPress may not be a feasible software platform for all of NNMTA’s needs going for- ward. To ensure that ARIA can advance with NNMTA, ARIA 3.0 was developed using an “as-is” and “to-be” design approach. We built a microservice application which supports the implementation of features that NNMTA would like to maintain from previous versions while simultaneously providing a platform suitable for future software requirements. Additionally, new portals built for customers, students, teachers, and administrators aim to improve the user experience (UX) and user interface (UI) by increasing engagement with ARIA through new functionalities, greater access, and greater control over information.
Tradurre l'aspetto: questioni sulla resa in italiano di perifrasi verbali portoghesi

Since European Portuguese and Italian belong to the same Romance family, there are many transparencies that ease mutual comprehension, especially with regard to reading skills. In addition to numerous affinities, however, there are elements of linguistic contrast that affect comprehension and translation. This paper will focus in particular on the rendering of the aspect expressed by some Portuguese verbal periphrasis and on the use of various linguistic resources and strategies in the translation into Italian.
Hubungan Minat Membaca Buku-Buku IPS dengan Prestasi Belajar Siswa dalam Mata Pelajaran IPS di SDN 38/IX Jambi Kecil

This research is motivated by the symptoms of students' unwillingness to answer questions about the lessons given, it is caused by the unwillingness of students to memorize the subject matter and visit the library to read. Through this research will be revealed the relationship of interest in reading to student achievement in social studies subjects and at what level the relationship of the most dominant reading interest felt by students towards their learning achievement in social studies subjects. The relationship of reading interest that is intended in this study is limited to the influence, contribution and benefits of reading fondness towards learning achievement in social studies subjects felt by students in school, reading interest is a motivating force that encourages students to focus their attention on reading activities is very large towards learning achievement, in social studies subjects. So it is assumed students will have a great interest in reading as well. The research was conducted at 38 Negeri IX Jambi Kecil Elementary School on 52 class IV, V and VI students selected as a research sample, namely 50% of 104 population students. Data collection techniques used in this study were using a questionnaire consisting of 39 items given directly to 52 respondents as research samples. Questionnaire test results are administered as a group and analyzed using percentage techniques. Based on the results of the study revealed that: Classification of interest in reading social studies books students is an average of 72.15%. From this data it can be concluded that the classification of the most dominant reading interests is at a high level. 1) Classification of student achievement is in social studies subjects are at an average of 7.19 from this data it can be concluded that the classification of student achievement is the most dominant is at a high level. 2) The relationship of interest in reading social studies books on student achievement in social studies subjects is moderate, namely 0.638. This means that the correlation is adequate. The conclusions from the results of the study indicate that there is an adequate relationship between interest in reading social studies books and student achievement in social studies subjects at SD Negeri No. 38 / IX Small Jambi. So to all parties responsible for increasing interest in reading students, especially elementary school students No. 38 / IX Jambi Minor should motivate students to increase their interest in reading. Because the relationship of reading interest felt by students towards learning achievement in social studies subjects will be more meaningful if followed by real activities.