Reviewerly/exHarmony huggingface dataset:
Analisis pemanfaatan jurnal elektronik oleh mahasiswa menggunakan Technology Acceptance Model (TAM)

Penelitian ini bertujuan untuk mendeskripsikan pemanfaatan jurnal elektronik yang terdapat pada program studi PPKn, program studi Pendidikan Sejarah dan program studi Pendidikan Ekonomi di Universtas Sriwijaya menggunakan technology acceptance model (TAM). Sampel penelitian yaitu mahasiswa semester 3, 5, dan 7 pada jurusan Pendidikan Ilmu Pengetahuan Sosial (PIPS). Metodologi penelitian menggunakan metode kuantitatif dengan menggunakan kuesioner sebagai alat pengumpul data, kemudian data di analisis secara deskriptif dan analisis statistik inferensial. Hasil uji hipotesis menunjukan tidak ada pengaruh positif dan signifikan instrument perceived easy to use terhadap attitude toward using pada Jurnal Bhineka Tunggal Ika serta Jurnal Criksetra. Selanjutnya hasil uji hipotesis juga menunjukan ada pengaruh positif dan signifikan perceived usefulness terhadap attitude toward using pada Jurnal Bhineka Tunggal Ika serta Jurnal Criksetra. Untuk Jurnal Profit pada program studi Pendidikan Ekonomi tidak memenuhi kriteria untuk dilanjutkan penelitian karena hanya lima mahasiswa yang mengetahui tentang jurnal tersebut. AbstractThis study aims to describe the utilization of electronic journals contained in the civic education study program, historical education study programs and economic education study programs using technology acceptance models (TAM). The sample of the study is the semester 3, 5, and 7 students in the Educational of Social Science department. The research methodology uses quantitative methods with a questionnaire as a data collection tool, then the data is analyzed descriptively and inferential statistical analysis. The results of the hypothesis test show that there is no positive effect and that the instrument is perceived to be easy to use towards the attitude toward using the Journal of Unity in Diversity and the Criksetra Journal. Furthermore, the results of the hypothesis test also showed that there was a positive and significant perceived usefulness effect on the attitude toward using the Journal of Unity in Diversity and the Criksetra Journal. For the Profit Journal in the Economic Education study program does not meet the criteria for continued research because only five students know about the journal.
CFGWC-PSO in Analyzing Factors Affecting the Spread of Dengue Fever in East Java Province

Fuzzy Geographically Weighted Clustering-Particle Swarm Optimization using Context Based Clustering (CFGWC-PSO) has been developed to clustering in factors influencing the spread of dengue fever in East Java Province. CFGWC-PSO method can overcome slow computing time problems in terms of iterations, and produce accurate data partition with stable. In this research, CFGWC-PSO applied to 11 variables from data on the causes of the spread of dengue fever in East Java Province in 2017. CFGWC-PSO using the FCM method to determine the context variable. Processing used the results of clustering with 2 clusters until 5 clusters. From the three validation index that used to find out the right number of clustering, two clusters gave better clustering results. CFGWC-PSO shows that all districts/cities in cluster 2 become dengue fever endemic areas that need to be considered by the East Java Provincial Government.Keywords: Context-Based Clustering, dengue hemorrhagic fever, Fuzzy Geographically Weighted Clustering-Particle Swarm Optimization.
We ...with Anna: Inclusory coordination in Finnish and Fenno-Swedish

Finnish and Fenno-Swedish both have a construction where a plural pronoun combined with a comitative adposition and a DP, as in 'we… with Anna', is interpreted as 'Anna and I'.The construction is found in several other languages east of the Baltic Sea but not in Scandinavia or, as far as we know, generally West Europe.In this paper, the main syntactic properties of the construction will be described.A related construction is found in Icelandic, where 'we Anna' means 'Anna and I'.This construction has recently been subject to a detailed examination in Sigurðsson & Wood (2019).The Finnish and Fenno-Swedish construction will be compared with the Icelandic one.The fact that 'we…with Anna' unlike Icelandic 'we Anna' can be discontinuous means that it has more complex syntax.A generalization is proposed characterising the syntactic conditions on 'we…with Anna' in Finnish and Fenno-Swedish.A syntactic analysis will be proposed, in part following Sigurðsson & Wood (2019) on the Icelandic counterpart.
Implementasi Metode Backpropagation untuk Memprediksi Tingkat Kelulusan Uji Kopetensi Siswa

Vocational High School (SMK) 2 Pekanbaru is a Vocational School in Industrial Technology. At present there are 2400 students with 14 majors. In students the level of will in students is still low. Resulting in a low graduation rate for students. This happened because of the difficulty in predicting the level of competency examination passing at SMK Negeri 2 Pekanbaru. The purpose of this study is to assist in predicting the passing level of competency exams so as to produce predictions of student graduation. The method used is the Backpropagation method. With this method data processing can be done using input values and targets that you want to produce. So that it can predict the graduation of students in the expertise competency test. Furthermore, the data to be managed is a recapitulation of the average vocational values majoring in computer network engineering from semester 1 to semester 5 with aspects of knowledge on the target students of 2017 Academic Year and 2018 Academic Year obtained from the sum of all subjects in each semester. The results of calculations using the Backpropagation method with the Matlab application will be predictive in producing grades for students' graduation rates in the future. So that the accuracy value will be obtained in the prediction. With the results of testing the accuracy of prediction student competency tests with patterns 5-4-1 reaching 85%, with patterns 5-6-1 reaching 95%, patterns 5-8-1 reaching 70%, patterns 5-10-1 reaching 85% % and with 5-12-1 patterns it reaches 85%. Of the five patterns, the best accuracy rate of 5-6-1 is 95%. The prediction results using the Bacpropagation method can become knowledge in the next year. So that the system parameters used in testing can be recognized properly.
A Social Recommendation Algorithm with Trust and Distrust Considering Domain Relevance

Although most of the existing social recommendation algorithms can alleviate data sparsity or cold-start problems, they only measure the influence of trust relationship on recommendation precision. To accurately measure the influence of the social relationship, we propose a social recommendation algorithm based on domain relevance and integrated into the trust and distrust relationship information. The algorithm is based on the Funk-SVD algorithm in which domain relevance of users is calculated by using cluster algorithm to find the groups, the trust and distrust relationship information of user are added, and the effect of user distrust on global influence is considered. Finally, Experiments based on the well-known Epinions show that the algorithm has obvious effects in improving the recommendation quality and alleviating the cold start problem.
IMPLEMENTING EMPOWERING SOCIETY THROUGH SOUVENIR WORKSHOP WITH PEKALONGAN’S BATIK AS LOCAL INSPIRATION (STUDY CASE : KRAPYAK DISTRICT PEKALONGAN - CENTRAL JAVA)

Empowering society is the main spirit of community service programs carried out by Bina Nusantara University. This provides benefits and enrichment for both parties, lecturers as educators as well as the fostered community. Pekalongan as a creative city needs to always develop its potential. Therefore the aim of the workshop is to enhance the insight in applying the local inspiration of Pekalongan’s batik in various way such as souvenirs. The main idea of this workshop is to utilize batik waste into unique souvenirs design. As zero waste has become a worldwide culture, it is good for Indonesian people to participate in this environmentally friendly program. The workshop given from the lecturers PKK member in Krapyak district, Pekalongan. It is not only in terms of technical production but also an understanding of design principles. This research applied practice based research through workshop project for PKK member in Krapyak District, Pekalongan. This workshop is an experimental project for the participants that can encourage them to explore more about batik waste and itsapplication and implement their knowledge in design element through their idea of souvenir’s design. Hopefully the outcomes of this research can improve the applicaton of local inspiration in souvenir so as to actively contribute in preserving batik and introducing it to the younger generation of Indonesia.
Pedagogical management of the quality of training for a physical culture specialist in higher school: An expectation approach to the problem

The paper is devoted to the problem of pedagogical management of the quality of training for physical education specialists in higher education: the authors have determined theoretical and methodological foundations of the problem, a conceptual model and pedagogical conditions for its implementation have been presented.The authors of the paper have proved that professional expectations are a construct that anticipates actions aimed at building professional competence, but at the same time it is a product of the processes of mastering the education content.The expectation approach suggests considering the pedagogical management of the quality of training for specialists in physical education at a pedagogical university as a process of changing and shaping professional expectations of the subject of the educational process.In our study, the expectation approach is based on the conceptual ideas of the axiological, competence, and integrative constituent elements.The identified axiological, competence, and integrative constituent elements of the expectation approach determine the multilevel and hierarchical nature of the theoretical and methodological fundamentals of pedagogical management of the quality of training for physical education specialists including the general scientific, concrete scientific, methodological and technological levels of the methodology.
Multi-path based Quasi-real-time Quantum Key Distribution in Software Defined Quantum Key Distribution Networks (SD-QKDN)

We propose a multi-path based quasi-real-time quantum key distribution scheme in software defined quantum key distribution networks (SD-QKDN). Simulation results show the proposed scheme performs well in terms of service successful probability and secret-key utilization.
A Content-Adaptive Method for Image Denoising

In this paper, we firstly analyze the statistical distribution of simultaneous sparse coding errors (SSCE), which reflects the local correlation and non-local correlation characteristics of natural images. Based on the observation, we establish the optimal denoising problem which uses L <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sub> norm to constrain the image prior. According to the close-form solution of the proposed problem, we find that the denoising limit is only determined by the patch number, patch size and the variances of different bands in SSCE. Then we exploit the relationships between the patch complexity, patch size, patch number and the denoising limit. The study shows that a content-adaptive strategy may be useful to obtain better denoising performance. We then design a content-adaptive method for image denoising in which the groups are adaptively determined according to the structural complexities of reference patches. Experimental results show that the proposed scheme achieves competitive performance with several state-of-the-art methods in both subjective and objective aspects.
Neural Outlier Rejection for Self-Supervised Keypoint Learning

Generating reliable illumination and viewpoint invariant keypoints is critical for tasks such as feature-based SLAM and SfM. Recently, many learned keypoint methods have demonstrated improved performance on challenging benchmarks. However, it is extremely difficult to create consistent training samples for interest points in natural images, since they are hard to define clearly and consistently for a human annotator. In this work, we propose a novel end-to-end self-supervised learning scheme that can effectively exploit unlabeled data to provide more reliable keypoints under various scene conditions. Our key contributions are (i) a novel way of regressing keypoints, which avoids discretization errors introduced by related methods; (ii) a novel way of extracting associated descriptors by means of an upsampling step, which allows regressing the descriptors with a more fine-grained detail for the per-pixel level metric learning and (iii) a novel way of training the descriptor by using a proxy task, i.e. neural outlier rejection. By using this proxy task we can derive a fully self-supervised training loss for the descriptor, thus avoiding the need for manual annotation. We show that these three contributions greatly improve the quality of feature matching and homography estimation on challenging benchmarks over the state-of-the-art.
Bistable Texts: On Cognitive Mechanisms of Maintaining of Unresolved Ambiguity

The article introduces the concept of bistable texts in literature, that reflects a notion of bistable images in cognitive psychology. Bistable texts are the texts that can be read in two different and not intersected semantic plans. They are characterized not by uncertainty but the certainty of two equally plausible interpretations, each one of which is independent and sovereign when it occupies the conscious stage. The main features of the bistable text are exclusivity, inevitability and randomness. As an example of bistable text one of the poems written by Russian poet Vladimir Strochkov is analyzed.
Closed-loop detection and repositioning method based on bag of word

In order to solve the problems of increasing computational complexity and real-time system degradation caused by the continuous extension of application scenarios, this paper proposes a closed-loop detection method based on the Bag of Word model when constructing the SLAM backend optimization algorithm. The feature point set of the image set is extracted by the ORB feature extraction algorithm, and a visual dictionary tree for image similarity detection is generated. And in the closed-loop detection, the similarity detection of the image is accurately performed using the weight assignment method of the visual word. After the validation of the public data set, the improved algorithm solves the problem of scale drift of the system, improves the real-time performance of the system, and completes the relocation function of the system.
Pengaruh Penggunaan Metode Permainan Kartu Bilangan Terhadap Motivasi Dan Hasil Belajar Siswa Materi Pecahan

This study aims to determine the effect of the use of the number card playing method on student motivation and learning outcomes in fraction material in class IV SD NU 03 Nurul Huda Wuluhan Jember. The research method used was a quasi-experimental study with a total of 20 experimental and control class students. Data collection techniques are using pretest and posttest. Analysis of the data used was the T test. The results of the data analysis with the T test at the 95% confidence level showed that the learning outcomes of the experimental class students who used the number card playing method were better than students in the control class who did not use the number card playing method. From the results of the above analysis the researcher draws the conclusion that the learning outcomes of students who use the number card game method program are higher than students who do not use the number card game method. So the number card game method can be used as an alternative learning media that can increase student motivation and learning outcomes.Keywords: Game Method, Number Cards, Learning Outcomes
View synthesis based on spatio-temporal continuity

Abstract Free viewpoint video is generated on the basis of a video plus depth (V+D) virtual point rendering framework. Because of the limited bandwidth of video transmission, depth-image-based rendering (DIBR) has become a common method. Most DIBR methods not only have holes and ghost artifacts but also have problems with time continuity, leading to frequent flickers. In this paper, we make full use of time domain information in video sequences and adjacent frames to extract the static background image of the whole scene. Furthermore, we propose a weighted-fusion hole-filling method based on static background to fill holes and maintain time continuity. Experimental results show that the proposed method can improve the quality of virtual view images and strengthen spatio-temporal continuity.
Crowdsourcing Complex Associations among Words by Means of A Game

This paper discusses a new approach to creating semantic resources consisting of complex associations among words that can be used for evaluating the content of word embeddings as well as in various language-learning scenarios.We briefly introduce Codenamesan existing party board gameand the way of recording word associations suggested by human players.Advanced word embedding models are then compared on the collected data and it is demonstrated that they often fail in the cases of complex word associations that go beyond simple contextual interchangeability.We conclude with an initial evaluation of the automatic guessing of associated words based on clues provided by human players and a discussion on further extensions of the system towards a wide language coverage and explanations of word associations in the language learning context.
Dependently-Typed Montague Semantics in the Proof Assistant Agda-flat

We apply the Agda-flat proof assistant (Vezzosi, 2019) to computational semantics.Computational semantics in Agda-flat is distinguished from the approach based on Coq (Chatzikyriakidis and Luo, 2014) in that it allows an implementation of the classical, intensional semantic analyses of Montague (1973).That is, it synthesizes the modern dependent type theory and Montague intensional logic traditions in the computational semantics setting.To demonstrate this, we show how to replicate Montague's analyses in the type theory of Zwanziger ( 2018), which closely corresponds to the Agda-flat system.Accompanying code type-checks these analyses in Agdaflat.
ESN-NER

Chinese named entity recognition (NER) is more difficult than it in English because of the lack of nature delimiters. First, Chinese NER requires word segmentation, but word-based segmentation will generate errors due to the different granularity of the word segmentation tools. Second, most NER models heavily rely on local linguistic features, but the scope of influence provided by local linguistic features is limited, so sometimes the model will give different results to the same entity in different sentences. To address the above problems, we propose the Entity Storage Network Model called ESN Model for Chinese NER, which is a character-based model to avoid word segmentation errors. Specifically, we design an entity storage layer in this model to extract and store the entity information as a local linguistic feature, and design a position feature which is generated by four flags to enhance the learning of boundary. Then we incorporate the attention mechanism to extend the scope of the local linguistic features. The experimental results on two real-world datasets demonstrate that our model outperforms the state-of-the-art models in Chinese NER task.
CULTURAL VALUES OF POLITENESS IN EFL CLASSROOM: A STUDY OF ETNOGRAPHY OF COMMUNICATION

One of the purposes of learning English as a foreign language (EFL) is to be able to communicate. The Students must have communicative competence that does not only consist of linguistic competencies, but also socio-cultural ones. This paper aims to analyse the cultural themes of politeness strategies in EFL Classroom. The research in this paper focused on directive and expressive speech acts in EFL classroom. The participants of this study are three lecturers and the students of three English classes. The data are gathered by video audio by recording the lecturers’ utterances and students’ compliances to the lecturer, in order to find the politeness strategies and the cultural values in EFL classroom. The results show that; 1) There are seven kinds of cultural values of politeness strategies in EFL classroom, such as glorifying God, agreement, apologising, questioning, delivering praise, delivering thank you, and praying for others, 2) The lecturers and students dominantly use agreement and questioning in EFL Classroom. Thereby, this issue is relevant to EFL classes focusing on the improvement of both lecturers and students’ language and cultural skill. The analytical tool refers to the theories of Brown and Levinson’s positive and negative politeness, and the ethnography of communication method. The findings of this study will probably give insights into the pragmatic and conversational rules of EFL. The last part of this paper aims at summarizing that the implications that this paper are relevant to the strategies of teaching English as a Foreign Language.
Exploring the Limitations of Quantum Networking through Butterfly‐Based Networks

Abstract The classical and quantum networking regimes of the butterfly network and a group of larger networks constructed with butterfly network blocks are investigated. By considering simultaneous multicasts from a set of senders to a set of receivers, the corresponding rates for transmitting classical and quantum information through the networks are analyzed. More precisely, achievable rates (i.e., lower bounds) for classical communication are compared with upper bounds for quantum communication, quantifying the performance gap between the rates for networks connected by identity, depolarizing, and erasure channels. For each network considered, a range is observed over which the classical rate non‐trivially exceeds the quantum capacity. It is found that, by adding butterfly blocks in parallel, the difference between transmitted bits and qubits can be increased up to one extra bit per receiver in the case of perfect transmission (identity channels). The aim is to provide a quantitative analysis of those network configurations which are particularly disadvantageous for quantum networking, when compared to classical communication. By clarifying the performance of these “negative cases,” some guidance on how quantum networks should be built is also provided.
Employee Compliance to Information Security in Retail Stores

Recent breaches in retail industry indicate that even though retailers have security tools to protect consumers' information, it does not always work.For example, data breach from Point of Sale (POS) systems at Buckle stores indicate