Reviewerly/exHarmony huggingface dataset:
A Hybrid Framework HWF-PR in Software Engineering: MySpot-PR an Application

In software engineering there are many models to develop a completely functional application.Many of them have been sufficiently reported in the current literature, which include traditional, agile methodologies and some hybrids. The main objective of this work is to implement the Hybrid Work Framework HWF-PR in a specific case study, with the participation of two development groups, one control group using the extreme programming XP and, another experimental group using HWF-PR, in order to establish differences that allow to determine the benefits of the framework. The groups are composed of students of the computer engineering program of the UAGM of Puerto Rico. The foundation of this method is to apply the Shewhart principle, agile methods, agile practices and usability. Developing software through this methodology would represent a saving of time and effort. The flexibility to make corrections at any time can represent the improvement of ideas and the development of a better product.
Smart Heart Consulting System

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Building Intelligent Service Desk Systems using AI

Service desk system helps the users of the organization to raise the problem tickets by selecting the appropriate problem category and to obtain the solution to user problems. Manual selection of ticket category may result in dispatching the tickets to incorrect resolution group. Incorrect assignment of service desk tickets in turn results in reassignment of tickets, resolution time delay and greatly affects the business. The current service desk system does not handle the user’s unstructured ticket data efficiently. So artificial intelligence concepts like machine learning and natural language processing can be applied to automate the existing service desk systems. In this research paper, we developed an automated service desk ticket classifier model that automatically categorizes the incoming ticket by analyzing the unstructured natural language ticket description entered by the end user. Supervised machine learning techniques like Decision trees and Naive Bayes models are used to build the service desk ticket classifier system. Ensemble models are also used to analyze the performance of ticket classifier. Ensemble of decision trees, naive bayes and Random Forest classifiers are used as a part of ensemble classifier techniques. The performance of service desk ticket classifier models is evaluated on a real world IT infrastructure ticket dataset and compared using various performance metrics. Ensemble based Random Forest classifier performed well when compared to all other considered models. The proposed model for the auto categorization service desk tickets results in simplified user interface, faster ticket resolution, efficient resource utilization and improved growth in business.
Pengaruh Kondisi Penyimpanan Terhadap Setting Time Bahan Cetak Alginat

Background: The normal setting of alginate impression materials will reach setting time in about 2 to 4½ minutes.The setting time will affect the length of treatment in dental treatment. The aims of this study is to identify the influence of storage condition such as temperature and air humidity on the setting time of alginate impression materials. Materials and Methods: This study was an experimental laboratory. Nine testing groups of alginate impression materials were repacked into plastic with sealed closed containers and plastic without sealed open containers stored in refrigerator (temperature 7o C) and room (temperature 28o C) for 3 and 5 weeks. The setting time was measured for each group using penetrometer Results: The results of one-way ANOVA statistical analysis (p&lt;0.05) and post hoc LSD (p&lt;0.05) data showed significant differences in setting time for each storage condition. Setting time of alginate impression materials without sealed in temperature 28oC for 5 weeks was faster than other storage condition. Conclusion: Contamination of air humidity and changes in temperature affect the setting time of alginate impressions tested in this study.
Lack of multimedia tools in intervention support for running systems

Engrafting support staff into dialogues between users and customer support systems can compensate for system design flaws. Further, such dialogues can give grounds for system development. This article surveys the levels of interactivity of user support systems, where overt or covert support agents take an active part in the communication between a customer and a system. The main purpose is to demonstrate the prevailing lack of multimedia outputs in the tools supporting human intervention in systems with a graphical user interface (GUI). This is followed by an account of experimentation with human support engrafted in a web system that has a fuller range of GUI expression. The experiment explores the possibility of using multimedia in intervention in human-computer interaction and how such intervention can be built when it is not yet part of the augmented system.
IPOs versus ICOs: a new challenge for Real Estate industry?

In the last few years there has been an increasing interest in the blockchain as well as the application of this technology within the global financial markets, also involving the Real Estate industry. In a greatly innovative way, the blockchain could represent a tool to gather financial resources targeted to the Real Estate industry through the issuance of tokens following an Initial Coin Offering (ICO). Therefore, this paper aims at comparing the IPOs and the ICOs concluded in the Real Estate industry in order to highlight similarities and differences as well as the potential developments of this innovative technology. In this perspective, we aim at investigating the destiny of the NAV discount and which new relations could be explored.
Translation Operator in Joint Time-Vertex Domain: A Generalized Approach

The notion of translation (shift) is straightforward in classical signalprocessing, however, it is challenging on an irregular graph structure. In thiswork, we present an approach to characterize the translation operator invarious signal domains. By a natural generalization from classical domains, onecan characterize an abstract representation for the graph translation operator.Then we propose an isometric translation operator in joint time-vertex domainconsistent with the abstract form of translation operators in other domains. Wealso demonstrate the connection between this notion and the Schr\{o}dingerequation on a dynamic system which intriguingly describes the idea behindtranslation on graph.
The spatiotemporal dynamic of attention in normal reading

Past decades have seen multiplicate many studies examining the cognitive and neurobiological aspects of reading. However, the strategy underlying expert word identification and the way visuospatial attention is deployed across time and space is still unknown. The study from Blais and al. (2009) represent a significant advance in the knowledge of these process. This article pursues their investigation by using a protocol able to precise how visual words information extraction process across time on neurotypicals readers. 16 students were tested using « Bubble » technique. They read five letters french words sampled in space-time within a 200 ms windows on a computer’s screen. First, a signal/noise ratio modulation phase of 150 words was executed to maintain 51% of accuracy. Then, 4 blocs of 150 words each were completed followed by another 75 words modulation bloc. Finally, a block of 150 words was proposed. Data analyses examine how the temporally varying signal/noise ratio determine the response accuracy of participants. Classification images in the temporal domain were constructed for average and each individual by subtracting the weighted sum of the temporal profiles of signal/noise ratios of incorrect trials from those associated with the correct answer. We also constructed classification images in the time-frequency domain which indicate the magnitude of particular frequencies as a function of time. All these classification images were transformed into Z scores to put the images of all participants on the same scale. Statistical significance was determined by the application of the Pixel test. Results tend to reveal a serial processing of letter extraction information in which the order of letter is a function of the diagnostic value of that letter for word identification. These observations are opposed to the parallel processing that is generally accepted as an interpretation of the invariance of latency in expert word reading.
An Algorithm for Counteracting Coherent Two-Point Source Jamming Based on RFS

Cross-eye jamming is a kind of coherent two-point source jamming in the true sense, and it has a very good interference performance for inducing large angle measurement error of monopulse radar. Conventional detection and tracking processing cannot obtain real target information. In this paper, the modeling and analysis of the typical coherent two-point source jamming processing was established based on RFS, and the interrelation of the measurement and state parameter between the true target and the artificial apparent target inducing by jamming was extracted. Analogous to the multipath effect, target observation and jamming observation were considered to be multiple detection of a target generation, and the multiple-detection Bernoulli filter was introduced to detect the presence of target and jamming as well as estimate the state of true target under the powerful jamming condition. Simulation results indicate the effectiveness of the proposed method for counteracting coherent two-point source jamming.
Application Of Devops For E-Commerce Website

In recent years, a big requirement for software developers has been the ability to deploy new application features fast, frequently and in short release cycle time.This requirement, however, is most relevant to an e-commerce.An e-commerce website refers to a web application that focuses on selling products or services over the internet, and as a part of the internet it has to be updated and improved in a manner which does not hinder its functioning and is achievable in an efficient and timely manner.The DevOps approach ensures this.DevOps (Development Operations) is a 3rd generation Software Development philosophy which creates a collaboration between IT Operations and Software Development.This results in a decrease in the amount of time required to develop and deploy any application as it employs the feature of continuous development.It uses the agile methodology as its basis.AGILE methodology is a practice that promotes continuous iteration of development and testing throughout the software development lifecycle of the project.Both development and testing activities are concurrent unlike the Waterfall model.Thus, DevOps is emerging as a new age technology crucial for a faster and more efficient website development.This paper focuses on the need of DevOps for the development of e-commerce website, its requirements and the benefits of using the DevOps in e-commerce website development.
LibGuides: CSUL 2019: September 2019

Meeting information, agenda and meeting materials for the Council of State University Libraries.
Extralinguistic context roles in determining meanings of Javanese phatic expression ‘Mboten’: a sociopragmatic perspective

The indirect expression of intention in the Javanese culture-based speech community requires the speaker and the hearer to understand the importance of contexts in communication. Failure to understand the context of interaction will definitely impede communication and interaction, or even worse it may cause misunderstanding in the communication and interaction process. In the Javanese speech community, people may say ‘ mboten ’ or ‘no’ without intending to negate or to express falsity. On the contrary, people may say ‘ inggih ’ or ‘yes’ which does not necessarily mean to affirm or to express an assertion. Therefore, it is clear that in the Javanese speech community, the extralinguistic contexts in the communication is very important and defines the purpose of utterances. Based on the research background, the research on extralinguistic contexts to determine the meaning of ‘ mboten ’ was carried out. The objective of the research was to elaborate the extralinguistic contexts which determine the meaning of ‘ mboten .’ The data consists of excerpts containing Javanese phatic ‘ mboten ’. The technique of collecting data was recording and note-taking. Besides, interview or speaking method was employed to gather the data. The data analysis was done using the distributional and content analysis methods. This research results in five functions of extralinguistic contexts to determine the meaning of the utterance. The five functions are: (1) the extralinguistic contexts to affirm the intention of negation; (2) the extralinguistic context as the background of negation; (3) the extralinguistic contexts to confirm the meaning of negation; (4) the extralinguistic contexts to affirm the intention of negation; (5) the extralinguistic contexts to affirm the phatic function. The result of the research is very important and contributes significantly to the development of linguistics, especially the development of pragmatics embedded in culture-specific concepts. DOI : 10.24071/ijhs.2019.030103
An Analysis of English Interesting Teaching in Junior High School

English is an important subject in junior high school, English requires an innate capacity and external conditions. Learning motivation in English learning can improve the effectiveness of English learning. English interesting teaching has played a vital role in teaching system. teacher should enlarge their range of knowledge to meet different studentsâ€™ needs and find suitable teaching method.
Person Authentication Based on the Difference of Deep Features Extracted from the Ocular and Face Regions

This paper presents a new method for person authentication that relies on the fusion of two biometric authentication methods based, respectively, on ocular deep features and facial deep features. In our work, the deep features are extracted from the regions of interest by using a very deep CNN (Convolutional Neural Network). Another interesting aspect of our work is that, instead of using directly the deep features as input for the authentication methods, we use the difference between the probe and gallery deep features. So, our method adopts a pairwise strategy. Support Vector Machine classiﬁers are trained separately for each approach. The fusion of the ocular and the facial based methods are carried out in the score level. The proposed method was assessed with a facial database taken under uncontrolled environment and reached good results. Besides, the fusion strategy proposed in this work showed better results than the results obtained by each individual method.
An Applied Divided Difference Interpolation Method for Recover Arbitrarily Missing values in Data Mining

Data cleansing is a significant step for data research. The values misplaced in the database are an ordinary difficulty faced by data analysts. A value which is misplaced in data mining is repetitive difficulty that can produce errors in data analysis. Arbitrarily missing elements in the dataset create data analysis complex and also influenced to related result. It affects the correctness of the result and intermediary queries. By using numerical techniques, one can improve the absent data and reduce the suspiciousness in the database. The existing paper provides an applied divided difference Interpolation techniques to recuperate the misplaced/missing values.
Hierarchical Deep Feature for Visual Tracking via Discriminative Correlation Filter

Visual tracking is an important research topic in the field of computer vision. It plays a vital role in camera focus tracking, drone target recognition, pedestrian tracking, vehicle tracking, etc. Due to various challenging attributes in the real-world scenario, the accuracy and robustness of most existing tracking algorithms cannot be considered at the same time. The main reason is to use the hand-crafted features to present the target appearance model. Hand-crafted features are typical underlying information used to present the target. The high resolution of the underlying feature information is conducive to accurate target location, but lacks high-level semantic information and cannot handle serious appearance changes, that is, poor robustness. In this work, we use the VGGNet19 model to extract the underlying and high-level features of the target. In order to predict the state of the target while considering the accuracy and robustness, the underlying and high-level feature response maps obtained by discriminative correlation filter (DCF), which can estimate the mapped positions of different layers of the target, and then adaptively fuse the mapped positions of different layers, and finally estimate the new state of the target. Extensive experiments show that the proposed algorithm outperforms the state-of-the-art tracking algorithms in terms of quantitative and qualitative evaluation.
ON THE ISSUE OF CORRESPONDENCE’S METAPOETICS: K. CHUKOVSKY’S LETTERS TO V. BRUSOV (1904-1923)

According to the paper, K. Chukovsky’s letters to V. Brusov cast light on their relationship, as well as reveal the way K. Chukovsky mastered his skills as a writer and a reviewer. In his letters to V. Brusov K. Chukovsky emphasizes the latter’s in-depth knowledge and selfless devotion to his métier. Significantly, V. Brusov was K. Chukovsky’s tutor, and «Vesy» (The Balance) magazine founded by V. Brusov was the first periodical where K. Chukovsky’s works were issued. The correspondence indicates that K. Chukovsky planned to initiate a specialized children’s book publishing house as early as in the early XX century.
Gaze attraction toward higher-order image features generated by deep convolutional neural network

Humans acquire visual information of the external environment while moving their eyes sequentially from one location to another. Previous studies showed that salient locations attract human gaze frequently (Itti, Koch, 1998), but more recent evidence suggests that higher-order image features might have higher predictability of gaze frequency (Kümmerer et al., 2016) and temporal characteristics (Kümmerer et al., 2017; Akamatsu, Miyawaki, 2018) than the classical saliency theory. However, it remains unclear whether higher-order image features per se serve as strong gaze attractors because previous experiments used natural scene images and the results could be influenced by semantic information from object categories and scene contexts. To resolve this issue, we designed a new experiment using “feature images” that can contain a pre-specified order of image features while suppressing object-categorical and scene-contextual information. The feature images were artificially generated so that they selectively maximized the response of a specific layer of a pre-trained deep convolutional neural network (DCNN), using gradient ascent optimization of image pixel values. Subject’s eye movement was recorded while they were observing a pair of feature images, each of which corresponded to a different layer of DCNN. Results showed that feature images corresponding to a higher layer of DCNN (higher-layer feature images) attracted the gaze more frequently than the simultaneously-presented lower-layer feature images, and the gaze frequency progressively increased as the DCNN layer tied to feature images. Control analyses confirmed that higher-layer feature images did not possess higher saliency and thus classical saliency theory is unlikely to explain the observed gaze frequency bias. These results suggest that higher-order image features serve as a significant gaze attractor independently of semantic information embedded in natural scenes.
Locus of negation in syntactic structure

The literature on the locus of negation in syntactic structure focuses primarily on the position of negation relative to the spine of the clause, the Inflectional Phrase (IP/TP), and whether the negative phrase (NegP) follows or precedes TP. Of particular debate is whether or not the locus of NegP is a parametric choice whereby the Individual/Internal Language (I-Language) of the speaker has the locus of NegP set to one of the two options available in Universal Grammar (UG). The alternative view is that NegP can project below or above TP and can have multiple positions within the structure, each with different syntactic and semantic effects. This chapter discusses both views and proposes a multi-locus analysis for negation in Arabic. After a discussion of these two views, I discuss key issues in the syntax of subjects, verb movement, and tense and aspect in Arabic. These topics are intimately related to the syntax of negation and the analyses presented in this and the subsequent chapters of this monograph. I then present the multi-locus analysis advancing empirical and theoretical arguments from key word order generalizations involving adverbs, subjects, complementizers, and the verbal copula.
Examining the Utility of Negative Search Cues with Real-World Object Categories

Decades of research has demonstrated that increased target knowledge improves search performance. However, most work has used pictorial or text cues that reference target features (i.e., positive target cues). More recently, work has examined the role of negative cues (Beck, Hollingsworth, & Luck, 2018), in which the distractor features you should avoid are cued, but the target can be determined from the given information. Previous work on negative cues have used simple stimuli and pictorial cues or specific text cues. We build on that work by comparing positive and negative cues (cue type) for pictorial cues and categorical text cues (cue specificity), using real-world objects. We predict that pictorial negative cues will prime the visual system and result in a cost to search performance relative to negative categorical cues or positive cue conditions. Search displays contained a target, a lure from the target category (which was cued on negative trials and uncued on positive trials), and four categorically unrelated distractors. Consistent with prior literature, we found two main effects indicating positive cues relative to negative cues, and pictorial cues relative to categorical cues, produce superior search performance across multiple eye movement and manual response measures (% trials target or lure is fixated first; target verification time; reaction time; and accuracy; all p< .001). We also observed an interaction of cue type and cue specificity (all measures p< .001), in which the benefit of pictorial cues was present, but greatly reduced on negative cue trials. Contrary to our hypothesis, we observed a pictorial benefit even on negative cue trials. This suggests that the target matching details of a pictorial negative cue are better at overcoming the capture of attention by a lure than a categorical negative cue.