Reviewerly/exHarmony huggingface dataset:
On guiding video object segmentation

This paper presents a novel approach for segmenting moving objects in unconstrained environments using guided convolutional neural networks. This guiding process relies on foreground masks from independent algorithms (i.e. state-of-the-art algorithms) to implement an attention mechanism that incorporates the spatial location of foreground and background to compute their separated representations. Our approach initially extracts two kinds of features for each frame using colour and optical flow information. Such features are combined following a multiplicative scheme to benefit from their complementarity. These unified colour and motion features are later processed to obtain the separated foreground and background representations. Then, both independent representations are concatenated and decoded to perform foreground segmentation. Experiments conducted on the challenging DAVIS 2016 dataset demonstrate that our guided representations not only outperform non-guided, but also recent and top-performing video object segmentation algorithms.
Development of Basic Analysis of Prose Coursebook Containing Critical Theories at a State University in Karawang

This research is motivated by the need of textbook used in the process of literature lecturing, especially prose. Critical theories discourse contained in literary work can be an interesting issue when textbooks used in Higher Education have not provided a mandate and a good and strong model to imitate. Given the importance of the role of textbooks in the process of knowledge transfer other than lecturers, it is necessary to develop literary coursebooks that subtly contain critical theories in order to produce better quality resources in changing attitudes and actions of readers.This research used a simplified Research and Development method that only covered three main stages: (1) preliminary study, (2) product formulation and development, and (3) product validation and dissemination. In addition, this study focused on coursebooks containing critical theories for English Education students of 6th Semester on Basic Analysis of Prose course at State University of Singaperbangsa Karawang.The coursebook as the development product for Basic Analysis of Prose in English Language Education Program at State University of Singaperbangsa Karawang has a total average analysis of validation results and small group testing above 80%, so it can be categorized as valid and feasible.
Multi-Projector Calibration Based on Virtual Viewing Space

In large-scale maritime maneuvering simulators, the multi-channel systems are usually used to tile multiple projectors on a cylindrical display to create a large virtual environment, which brings more realistic immersion to the users. In the non-planar multi-projector display system, to finish the work of geometric and photometric corrections, there exist the problems of difficult projector calibration, more manual intervention and poor adaptability. In order to solve these problems, a multi-projector calibration based on virtual viewing space is proposed in this paper. First, a virtual environment of multiple projectors is created, and by using the structured light and re-projection model on a cylindrical wall, the calibration of internal and external parameters of a projector are realized separately. Finally, the geometric correction is completed by the mapping relationship between the target images and the calibrated re-projected images. This method is free of limitation by the angle of view of a single camera and can calibrate any of the projectors in the multi-channel systems. The example results show that the projector’s parameters can be estimated more accurately, and the efficiency and accuracy of geometric correction can be improved. Good results are achieved when applying this method in the maritime maneuvering simulator system.
Investigation and Analysis of Vocational Training and Professional Identity of Biology Teachers in Southern Henan

In order to effectively investigate the current professional status of biology special post teachers in the southern of Henan Province (Southern Henan), this study used the method of interviews and questionnaires to investigate and analyze the current situation of biology special post teachers in Southern Henan from the aspects of vocational training and professional identity. The results showed that: (1) Satisfaction with vocational training is still acceptable, all of them can participate in certain training, but the training policy and system need to be improved, the level of training is limited, the training opportunities are not balanced, and the training time and content need to be optimized. (2) Career identity is generally satisfactory, proud, respected and enthusiastic in teaching. It can promote the growth and development of students, but the suggestions of special post teachers have not been adopted in time. In view of the above findings, this paper puts forward some countermeasures for the professional development of biology special post teachers in Southern Henan, in order to provide theoretical basis for the follow-up study on the professional aspects of biology special post teachers, and also provide important information for the professional development of rural special post teachers.
A Study of Determinants of Teenagers’ Privacy Protection Intentions on Social Networking Sites

Using protection motivation theory, this study aimed to understand factors that affect teenagers'privacy protection intention on a social network site, Wechat Moment.Perceived severity, perceived vulnerability, self-efficacy and response efficacy were predicted to be positively related to privacy protection intention, while perceived rewards and response costs were predicted to be negatively related to privacy protection intention.Results from a survey of 608 Chinese teenagers showed that perceived severity, perceived vulnerability, self-efficacy and response efficacy were positively related to teenagers'privacy protection intention on Wechat Moment, while response costs and perceived rewards were not related to teenagers'privacy protection intention on Wechat Moment.protection motivation theory, privacy protection intention,
An Eye-tracking Technique—Visual-World Paradigm

The visual-world Paradigm was first developed by Cooper in 1974.Then the paradigm was further developed by Tanenhaus in 1995 by putting it into the study of syntax disambiguation in spoken language understanding.Because the paradigm is easy to carry on and doesn ' t have special requirements on the participants, that is, illiterate people, young children, elderly people and even some kinds of patients can participate in the experiments, the paradigm has been used widely in the study of spoken language, as well as word recognition and syntax understanding.The paper introduces the development of visual-world paradigm and its application to word recognition and syntactic processing in spoken language understanding experiments, and then analyzes its advantages and challenges, aiming to explain the eye-tracking techniquevisual-world paradigm.
The Analysis of Verbless Sentences

This paper aims to discuss the analysis of verbless sentences in Modern Standard Arabic (MSA) within the Lexical Functional Grammar (LFG) framework. It discusses the previous analyses in transformational grammar and shows some problems in these analyses, arguing that LFG is more flexible and able to analyze this kind of sentences with fewer problems. This paper argues that verbless sentences in MSA should be divided into two types: the first is when the second part of a verbless sentence is an adjective, and in this type, we argue that the adjective should be analyzed as a predicate within the single-tier analysis. The second type is verbless sentences that contain a nonadjectival complement, and this type is analyzed as containing a null copula within the double-tier analysis.
Design of Accounting Reporting Information Systems of Chicken Farm

The development of farms in Indonesia based on 2018 Central Bureau of Statistics data always experiences an upward trend, of course this is inseparable from the increasing demand both at home and abroad.For financial data management, the farm"s business still uses systems such as using receipts and receipts from sales.Because the data processing is still using paper and handwriting media, so in preparing reports also often experience problems, both from the results of calculations per transaction and in terms of data writing.Without an automatic calculation process and the absence of data storage media, so that it will be more likely the frequent loss of data from these documents and errors in data processing.The Linda Laying Accounting Information System will greatly assist in processing information data faster, data from transactions can also be stored safely, so that the performance of companies or agencies becomes more efficient.
EDUCATION GAME IN ENGLISH LEARNING CENTER OF ENGLISH IS EASY

English is the most used international language in the world for communication. Thus, many private companies take part in teaching English. One of the institutions that facilitate English learning is English Learning Center EC (English is Easy). However, in teaching and learning process, it is necessary to have companion media that suitable with current condition, that is education game application with English materials in English Learning Center EC (English is Easy). Data collection used interview and observation methods. According to testing result, game has been suitable with the concept and plan. Game also gets positive feedback from the students who played it.
Tutor competence as a phenomenon of the theory and practice of professional training of future teachers for foreign languages

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HUBUNGAN PENGGUNAAN INSTAGRAM DENGAN KETERAMPILAN MENULIS IKLAN PADA SISWA KELAS VIII MTS YPPH AL-HIDAYAH CIAMPEA BOGOR

This study aims to determine the relationship between Instagram use and ad writing skills in class VIII students at MTs YPPH Al-Hidayah, Ciampea District, Bogor Regency. The method used  in this study is the product moment correlation method. The used s ampling technique in this research is random sampling. There are two variables namely variable (X) , use of social media Instagram , and variable (Y) , ad writing skills. The population in this study were all students of class VIII MTs YPPH Al-Hidayah, which are around 64 students. The sample of the study w as the students of class VIII MTs YPPH Al-Hidayah with a total of 33 students. Data collection techniques were done by using instruments in the form of questionnaires related to using social media Instagram and ad writing tests. The data were analyzed by using the product moment formula, so that the r count result (0.5049) is greater than rtable (0.344), which is 0.5049> 0.344, which means to HO and receive HI. In short, it can be concluded that there is a relationship between the use of Instagram with ad writing skills in MTs YPPH Al-Hidayah students, Ciampea District, Bogor Regency.
GAMBARAN PIO SWAMEDIKASI APOTEKER DALAM PENATALAKSANAAN FLU

&#x0D; Abstract&#x0D; &#x0D; Self-medication is a human effort to treat diseases or symptoms of minor ailments such as fever, cough, flu, pain and others without a doctor's prescription. In practice, limited knowledge of drugs and their use can be a source of medication errors (medication error). This research was conducted with a cross sectional descriptive research method. Data was collected through a validated questionnaire filling technique. A total of 300 respondents involved in this study were selected by consecutive sampling method from 3 pharmacies in the city of Purwokerto which were determined proportionally according to the population of each pharmacy. Data were analyzed by Chi-square test and Fisher's test used Statistical Product and Servicer Solution (SPSS) version 17. The results showed that the patient's knowledge level was 22.6% classified as poor, 48% classified as moderate, and 29.4% classified as good. The use of self-medication is 26.3% irrational and 73.7% rational. Based on the results of the study, it was found that the patient's level of knowledge was classified as moderate with a percentage of 48%. While self-administered rationality is classified as rational with a percentage of 73.7%.&#x0D; &#x0D; Keywords: Self-medication, Pharmacy, Knowledge, Rationality of drug use
FUNCTIONAL SPACE OF THE PEDAGOGICAL TERM (SEMANTIC ASPECT)

The article is an attempt to make a general analysis of the semantic and functional features of the term of the pedagogical industry, which is considered as the basic unit of professional speech and is characterized by semantic, notional and derivative specificity.The purpose of the article is to define the semantic and functional space of terms of pedagogy used in one of the dynamic spheres.The object of the study is the pedagogical term.The subject of the study is the semantic and functional features of the term of the pedagogical industry, in particular, semantic relations and their term-formative potential.The methods used in the study are theoretical analysis, synthesis, component and definitive method.It is stated that the pedagogical term is the result of the process of cognition of concepts, objects and phenomena of objective reality associated with the scientific and educational process (cognitive function), is included in the system of industry terminology, accurately and concisely fixing a certain professional content (nominative and significative functions). The named terminological functions are qualified as the main ones.Pedagogical terms reflect concepts which are interrelated and correspond to the scientific concept of the industry. The meaning of the term consists of components (semas), which are determined by comparison. The definition of the semantics of the term involves the definition of differential features. They distinguish the term from other lexical units or other meanings.It is proved that the condition for the functioning of the terminology of pedagogy is different types of semantic relations. They act as factors of systemicity and play a term-formative role (stylistic figures are the means of formation a polysemant), and the semantic way of formation of pedagogical terms is a priority.The prospects for studying the semantics of the terms of the pedagogical industry can be seen in the study of their conceptual potential.
Assessment of educational staff’s tolerance

Assessment of educational staff's tolerance.The paper analyzes the results of survey of educational staff regarding the levels and types of tolerance and psychological support of tolerance formation in educational institutions in conditions of social tension.The instrument used is the author's questionnaire 'Educational Staff's Tolerance'.We considered the educational organization employees' assessment of the general level of educational staff's tolerance, as well as the levels of tolerance to the internal and external migrants.The study analyses the work conditions and forms that according to employees could contribute to psychological support for tolerance development in educational institutions.
Augmenting Character Path Planning with Layered Social Influences

Creating behavior for believable characters is one of the main challenges within video games and is a key component in providing immersive experiences. As games become more complex, developers turn to AI techniques to generate believable character behaviors to enhance a player’s gameplay experience. Traditionally, path planning allows characters to navigate game worlds in a responsive way but has run-time efficiency and path distance as its primary goals. However, this tradition can be broken to make path planning another channel for generating believable characters. This paper describes a system of augmenting path planning with layered influences that can capture different social problems and nuances of character interactions within games. Additionally, we explore the social importance of characters moving through game worlds via a system that allows authors, game makers, and characters to use path planning as an expressive channel.
Segmentasi Citra Medis untuk Deteksi Objek FAM pada Payudara Menggunakan Metode Sobel

Fibroa Adenoma Mammae (FAM) or called a benign tumor is the most common tumor found in the breast, often this disease is considered as breast cancer by some laymen, but this disease is different from cancer because Fibroadenoma (FAM) can grow in all parts of the breast, In identifying FAM, doctors or radiologists usually have to analyze carefully the images of Magnetic Resonance stored in the format of Digital Imaging Communication In Medicine (DICOM). This process is certainly quite time consuming. Thus the author feels the need to create a digital image processing application to help doctors or radiologists identify FAM in the breast by utilizing the segmentation process in medical images of USG results using the Sobel method. This method performs the original image segmentation process by detecting the edges of the image then the segmentation results are converted into binary images so the system can determine the FAM area. Medical image segmentation using the Sobel method is good for determining the edges of FAM objects because the edges can be clearly seen but for some image images with less resolution as previously tested, edge detection will be difficult to determine the edges of smooth objects and only form lines rough edges.
E2-Train: Energy-Efficient Deep Network Training with Data-, Model-, and Algorithm-Level Saving.

Convolutional neural networks (CNNs) have been increasingly deployed to edge devices. Hence, many efforts have been made towards efficient CNN inference in resource-constrained platforms. This paper attempts to explore an orthogonal direction: how to conduct more energy-efficient training of CNNs, so as to enable on-device training. We strive to reduce the energy cost during training, by dropping unnecessary computations from three complementary levels: stochastic mini-batch dropping on the data level; selective layer update on the model level; and sign prediction for low-cost, low-precision back-propagation, on the algorithm level. Extensive simulations and ablation studies, with real energy measurements from an FPGA board, confirm the superiority of our proposed strategies and demonstrate remarkable energy savings for training. For example, when training ResNet-74 on CIFAR-10, we achieve aggressive energy savings of >90% and >60%, while incurring a top-1 accuracy loss of only about 2% and 1.2%, respectively. When training ResNet-110 on CIFAR-100, an over 84% training energy saving is achieved without degrading inference accuracy.
Certificateless and provably-secure digital signature scheme based on elliptic curve

With the internet today available at the user’s beck, and call data or Information Security plays a vital role. Confidentiality, Integrity, Availability, and Non-repudiation are the pillars of security on which every application on the web is based on. With these basic requirements the users also need the security in low resource constrained environments making it more challenging for the security experts to design secured cryptographic algorithms. Digital Signatures play a pivotal role in Authentication. They help in verifying the integrity of the data being exchanged. Elliptical curves are the strongest contenders in Digital Signatures, and much research is being done to enhance the method in many ways. The paper briefs a secured and improved ECDSA Elliptical Curve Digital Signature Algorithm which is an improved and secured version of the Digital Signature Algorithm.
Penalized Poisson Regression Model Using Elastic Net and Least Absolute Shrinkage and Selection Operator (Lasso) Penality

Variable selection in count data using Penalized Poisson regression is one of the challenges in applying Poisson regression model when the explanatory variables are correlated.To tackle both estimate the coefficients and perform variable selection simultaneously, Lasso penalty was successfully applied in Poisson regression.However, Lasso has two major limitations.In the p > n case, the lasso selects at most n variables before it saturates, because of the nature of the convex optimization problem.This seems to be a limiting feature for a variable selection method.Moreover, the lasso is not welldefined unless the bound on the L1-norm of the coefficients is smaller than a certain value.If there were a group of variables among which the pairwise correlations are very high, then the lasso tends to select only one variable from the group and does not care which one is selected.To address these issues, we propose the elastic net method between explanatory variables and to provide the consistency of the variable selection simultaneously.Real world data and a simulation study show that the elastic net often outperforms the lasso, while enjoying a similar sparsity of representation.In addition, the elastic net encourages a grouping effect, where strongly correlated predictors tend to be in the model together.
How to embed noncrossing trees in Universal Dependencies treebanks in a low-complexity regular language

A recently proposed balanced-bracket encoding (Yli-Jyrä and GómezRodríguez 2017) has given us a way to embed all noncrossing dependency graphs into the string space and to formulate their exact arcfactored inference problem (Kuhlmann and Johnsson 2015) as the best string problem in a dynamically constructed and weighted unambiguous context-free grammar. The current work improves the encoding and makes it shallower by omitting redundant brackets from it. The streamlined encoding gives rise to a bounded-depth subset approximation that is represented by a small finite-state automaton. When bounded to 7 levels of balanced brackets, the automaton has 762 states and represents a strict superset of more than 99.9999% of the noncrossing trees available in Universal Dependencies 2.4 (Nivre et al. 2019). In addition, it strictly contains all 15-vertex noncrossing digraphs. When bounded to 4 levels and 90 states, the automaton still captures 99.2% of all noncrossing trees in the reference dataset. The approach is flexible and extensible towards unrestricted graphs, and it suggests tight finite-state bounds for dependency parsing, and for the main existing parsing methods.
Anonymous certification for E-assessment opinion polls

Anonymous certification (AC) refers to cryptographic mechanisms in which users get certified from trusted issuers, with regard to some pre-defined user attributes, in order to produce presentation tokens. Such tokens satisfy service providers’ access policies, without revealing sensitive user information. AC systems are generally classified under two main different categories: (1) one-time show credentials that can be shown once for avoiding their originating user being traced from one transaction to another, and (2) multi-show credentials that can be used many times while avoiding their originating user to be traced. In this paper, we consider e-assessment opinion polls scenarios and propose an AC scheme where the one-time show property is relevant for making sure each user cannot hand in more than one poll in order to get significant results. To mitigate cheating, the scheme is provided with two extra procedures: attribute revocation and anonymity removal. The correctness of our scheme, as well as unforgeability, privacy and anonymity removal, are analyzed and demonstrated.