Reviewerly/exHarmony huggingface dataset:
Web-Navigation Skill Assessment Through Eye-Tracking Data

Eye-tracking data provide many new options in domain of user modeling. In our work we focus on the automatic detection of web-navigation skill from eye-tracking data. We strive to gain a comprehensive view on the impact of navigation skills on addressing specific user studies and overall interaction on the Web. We proposed an approach for estimating the web navigation skill, with support of self-evaluation questionnaire. We have conducted eye-tracking study with 123 participants. Dataset from this study serves as a base for exploration analysis. We pair different web-navigation behavior metrics with result score from our questionnaire in order to find differences between participant groups. The results of the classification show that some stimuli are more appropriate than others.
Copula-like variational inference

This paper considers a new family of variational distributions motivated by Sklar's theorem. This family is based on new copula-like densities on the hypercube with non-uniform marginals which can be sampled efficiently, i.e. with a complexity linear in the dimension d of the state space. Then, the proposed variational densities that we suggest can be seen as arising from these copula-like densities used as base distributions on the hypercube with Gaussian quantile functions and sparse rotation matrices as normalizing flows. The latter correspond to a rotation of the marginals with complexity O(d log d). We provide some empirical evidence that such a variational family can also approximate non-Gaussian posteriors and can be beneficial compared to Gaussian approximations. Our method performs largely comparably to state-of-the-art variational approximations on standard regression and classification benchmarks for Bayesian Neural Networks.
Composing Noun Phrase Vector Representations

Vector representations of words have seen an increasing success over the past years in a variety of NLP tasks.While there seems to be a consensus about the usefulness of word embeddings and how to learn them, it is still unclear which representations can capture the meaning of phrases or even whole sentences.Recent work has shown that simple operations outperform more complex deep architectures.In this work, we propose two novel constraints for computing noun phrase vector representations.First, we propose that the semantic and not the syntactic contribution of each component of a noun phrase should be considered, so that the resulting composed vectors express more of the phrase meaning.Second, the composition process of the two phrase vectors should apply suitable dimensions' selection in a way that specific semantic features captured by the phrase's meaning become more salient.Our proposed methods are compared to 11 other approaches, including popular baselines and a neural net architecture, and are evaluated across 6 tasks and 2 datasets.Our results show that these constraints lead to more expressive phrase representations and can be applied to other state-of-the-art methods to improve their performance.
Textual Syntactic Complexity and Its Role In Second Language Reading Outcomes In Indonesia

This paper examines the role of syntactic complexity in L2 reading outcomes across different EFL proficiency levels in an Indonesian university. Indonesian university students (N = 148) at Intermediate and Advanced levels of proficiency read four English passages differing in syntactic complexity. The latter was measured by several widely used text modelling tools. Participants read two low and two high complexity texts and completed a post-test comprehension test. Syntactic complexity had a statistically significant but low magnitude effect size, accounting for 2%-5% of the variance of reading performance between the L2 English proficiency levels. There were also noticeable differences in text analysis measures across the different complexity tools. The usefulness of syntactic complexity as an isolated dimension of text complexity is evaluated. The contribution of this study to the field both in theory and practice is presented.
Tensors all around us

Advanced artificial intelligence (AI) technologies have become so integrated in our daily lives that they no longer fascinate us.Online database search engines, image search engines with embedded recognition systems, device management by voice, have all become normal and common.However, every time I use Shazam, I am amazed at its speed in identifying music, its version and author.
Mobile Based SMS Scheduler for Educators using Preemptive Priority Based Scheduling

Nowadays in Sabah and Sarawak (East of Malaysia Regions), the assignment of tasks or reports of some events that include meetings among the teachers in schools were communicated through writing letters, memos or by face to face. Although there are some major communications mediums in the education business such as WhatsApp, Telegram or Facebook, the information can be disseminated really quickly; it connects people and could also build a stronger relationship. However, it can be used only if they are online or the Internet connection is available in order to open these applications. As in Sabah and Sarawak, the dissemination of information between the teachers still not promising and could lead to a miscommunication. This is a problem for teachers who lived in the rural areas to use the social medias to interact and to communicate due to the inconsistent Internet connection speed. The text messaging communication medium that uses the Short Messaging Services (SMS) is a preferable and also a good alternative to communicate efficiently among the teachers. In this application, a list of five messages can queue before being submitted. The SMS is scheduled based on the constraints that have been identified. The application will give a reminder of the scheduled messages before sending it according to the level of the messages’ urgency and the reminder priority. The teachers and staffs in the rural areas of Sabah and Sarawak may use the application since it is the most suggested solution to their problems when communicating with low or none Internet speed available.
Integrating High-Density Microwave Signalling and Packaging With Superconducting Qubits

One of the challenges for building a quantum computer with superconducting qubits is being able to integrate a sufficient density of microwave lines in a cryogenic environment. Traditionally this has been limited by the pitch of SMA cables. When trying to go beyond this approach there are two problems to address. The first is outfitting a dilution refrigerator with enough lines to run from room temperature to the base temperature stage. The second is building a package for a quantum integrated circuit that houses enough microwave lines itself. We propose a solution to both of these problems by using RF flexible circuits to increase signal density in the dilution refrigerator and package while maintaining signal integrity. We also discuss the thermal, mechanical and RF considerations that go into designing such a system. Finally we show a proof-of-concept integration of the entire system including measurements with superconducting qubits.
Simplifying Automated Pattern Selection for Planning with Symbolic Pattern Databases

Pattern databases (PDBs) are memory-based abstraction heuristics that are constructed prior to the planning process which, if expressed symbolically, yield a very efficient representation. Recent work in the automatic generation of symbolic PDBs has established it as one of the most successful approaches for cost-optimal domain-independent planning. In this paper, we contribute two planners, both using bin-packing for its pattern selection. In the second one, we introduce a greedy selection algorithm called Partial-Gamer, which complements the heuristic given by bin-packing. We tested our approaches on the benchmarks of the last three International Planning Competitions, optimal track, getting very competitive results, with this simple and deterministic algorithm.
A Comparative Study of TOPSIS Method via Different Distance Measure

One of the techniques used to support strong decision making in domains where selection of best alternative is highly complex is the Fuzzy TOPSIS method.In TOPSIS procedure different distance measures are used to calculate the distance of each fuzzy number from both Fuzzy Positive Ideal Solution (FPIS) and Fuzzy negative Ideal Solution (FNIS).In this paper, six well known distance measures have been taken into account which are available in literature and applied to TOPSIS procedure to perform a comparative study throughout numerical problems.The main purpose is to compare the stability and reliability of TOPSIS method in decision science through different distance measures.Fuzzy triangular number is used in our entire case study.
PENINGKATAN KUALITAS PUBLIKASI ILMIAH DAN PENELITIAN BAGI GURU SMA MELALUI PELATIHAN PEMANFAATAN SOFTWARE ZOTERO

This social responsibility (PKM) activity aims to carry out technical training in the preparation of scientific paper and reference management using the Zotero application in writing scientific paper. This activity is applied to the association of Chemistry teachers in Blitar District. The training and mentoring activities consisted of theory and practice with a composition of 30% for theory and 70% for practice, while the m echanism of the workshop activities included preparation, the seminar, and the training phases. Based on the activities carried out, the results show that the implementation of this social responsibilituy activity went well and smoothly, judging from the fact that most participants were quite able to apply Zotero in making excerpts of scientific paper and enthusiastic participants showed high enthusiasm.
Collaboration of RSA Algorithm Using EM2B Key with Word Auto Key Encryption Cryptography Method in Encryption of SQL Plaintext Database

RSA algorithm is a modern cryptographic algorithm and is often used for data security, and until now no one has been able to solve it. This algorithm uses two keys, public key and private key, the degree of difficulty of this algorithm lies in the factorization of large prime numbers. EM2B key algorithm function is to change the primary key become a new key into ASCII characters. This algorithm has the increament key algorithm function to change the length of the key characters are same as the plaintext. The Wake method is a stream cipher algorithm uses a 128 bit key and a 256 X 32 bit table. The strength of the RSA algorithm is the bit length used, and the strength of the WAKE method also lies in the bit length used and many rotation that occur. While the strength of the EM2B key algorithm lies in the increament key. After testing, the combination of three alogritmas consists of the RSA algorithm using the EM2B key and WAKE method and a combination of two algorithms with WAKE method using the EM2B key, the encryption results are better and safer than using only one WAKE algorithm.
Scaling Causal Inference in Additive Noise Models

The discovery of causal relationships from observations is a fundamental and difficult problem. We address it in the context of Additive Noise Models, and show, through both consistency analysis and experiments, that the state-of-art causal inference procedure on such models can be made simpler and faster, without loss of performance. Indeed, the method we propose uses one regressor instead of two in the bivariate case and 2(d − 1) regressors instead of (d 2 − 1) in the multivariate case with d random variables. In addition, we show how one can, from the regressors we use, accelerate the computation of the Hilbert-Schmidt Independence Criterion, a standard independence measure used in several causal inference procedures.
Fault Pattern Mining Based on Fault Information Event Model

Faced with a large number of fault management data, whether there are some important and interesting but unknown patterns in the event data has always attracted the attention of fault management engineer. Based on the analysis of fault management process and daily fault management data of engineering machinery and equipment, a fault management information event model is put forward, which includes six elements: description elements, object elements, time elements, space elements, modification elements and condition elements. Based on information event model we propose a fault pattern mining method, and we also tested the proposed approach on the practical production data of a construction machinery data service provider, the experimental results show that our approach is correct and effective.
Applying Augmented Reality to Improve the Outcomes of Procedural Knowledge Acquisition

The acquisition of procedural knowledge is vital to learning content that emphasizes steps and sequences. However, such learning is difficult for learners in conventional teaching settings. Although research has confirmed that augmented reality (AR) is effective in enhancing learning-related memory, no studies have verified whether AR can effectively enhance memory of procedural knowledge. In this study, an AR mobile application was used to assist in the teaching of Microsoft Excel by guiding students through steps for performing Excel operations and thereby establishing their procedural knowledge of eight Excel formulas. The objective was to verify whether AR could effectively help students retain memory of procedural knowledge. This empirical study on 68 student participants revealed that students using the AR system retained adequate memory of procedural operations 2 weeks after completing the Excel classes.
ARKEOLOGI DAN PENGENALAN PRASEJARAH PERAHU NUSANTARA

The data which we found on maritime archaeology resulted several information The benefit of the result of maritime archaeology and the history sources would be done by identifying the prehistory of archipelago boat. It was regarding the benefit of: a. tied-up technique b. the combination of tied-up and peg technique, c. peg technique and other techniques which is used in boat production as a water transportation. In addition to the grouping of the technology of boat production, it could be known an chronological aspect.
LANGKAH PENGEMBANGAN MEDIA PEMBELAJARAN MACROMEDIA FLASH UNTUK PEMBELAJARAN MEMBUAT POLA DASAR BADAN SISTEM SOEN

The purpose of study was to find out the step to develop macromedia flash for learning or making the basic pattern of the soen’s system. This research is a type of development research. The development step uses the Puslijaknov Team theory which includes 5 stage:product analysis to be developed, the initial product development, expert validation and revision, small-scale and revisions, large-scale and final products. The research instrument uses observation sheets to reveal the use media in learning. Data analiasis technique uses descriptive analysis. Results showed the development of macromedia flash media through product analysis namely syllabus analysis and media needs analysis, developing the initial product namely the process making macromedia flash, expert validation to find out feasibility of media, small-scale of learning using macromedia flash which was observed 2 observers with good results, large-scale of implementation of learning using macromedia flash which was observed 2 observers with very good results.
Integrating Knowledge Graphs for Comparing the Scientific Output of Academia and Industry

Analysing the relationship between academia and industry allows us to understand how the knowledge produced by the universities is being adopted and enriched by the industrial sector, and ultimately affects society through the release of relevant products and services. In this paper, we present a preliminary approach to assess and compare the research outputs of academia and industry. This solution integrates data from several knowledge graphs describing scientific articles (Microsoft Academics Graph), research topics (Computer Science Ontology), organizations (Global Research Identifier Database), and types of industry (DBpedia). We focus on the Semantic Web as exemplary field and report several insights regarding the different behaviours of academia and industry, and the types of industries most active in this field.
Data Processing and Wearable Systems for Effective Human Monitoring

The last few decades have seen an unrestrained diffusion of smart-integrated technologies that are extremely pervasive and customized based on humans’ environments and habits [...]
A Brief Review on Image Contrast Enhancement Techniques

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.
PERAN DAN UPAYA PENGEMBANGAN LITERASI INFORMASI PERPUSTAKAAN SEKOLAH PADA ERA DISRUPSI1

PERAN DAN UPAYA PENGEMBANGAN LITERASI INFORMASIPERPUSTAKAAN SEKOLAH PADA ERA DISRUPSI1OlehDr. I Nyoman Yasa, S.Pd., M.A.Email: inyomanyasa.sastraundiksha@gmail.comABSTRACTThe still existing traditional libraries should develop in keeping with the development of theera. The era development: digital disruption, however, has created ( given birth to) itsgeneration: Gen-Y (Millennial) and Gen-Z. These generations cannot be forced to follow theold pattern, since they were indeed born from the modern/postmodern generation: internet;social media. To improve information literacy of this generation, school libraries have a rolethat is not the same as in the previous era. Librarians/ schools who manage the schoollibraries should provide a broader and easy access facilities. This is very urgent in order thestudents no longer find the libraries in their schools only full with old books. Hence, theschool library plays an innovative role in today’s era.Keywords: role, development, literacy, library, disruptionKeywords: The Role, Library, Information, Literacy ,Disruption
The 11th workshop on active internet measurements (AIMS-11) workshop report

On 16-17 April 2018, CAIDA hosted its eleventh Workshop on Active Internet Measurements (AIMS-11). This workshop series provides a forum for stakeholders in Internet active measurement projects to communicate their interests and concerns, and explore cooperative approaches to maximizing the collective benefit of deployed infrastructure and gathered data. An overarching theme this year was scaling the storage, indexing, annotation, and usage of Internet measurements. We discussed tradeoffs in use of commercial cloud services to to make measurement results more accessible and informative to researchers in various disciplines. Other agenda topics included status updates on recent measurement infrastructures and community feedback; measurement of poorly configured infrastructure; and recent successes and approaches to evolving challenges in geolocation, topology, route hijacking, and performance measurement. We review highlights of discussions of the talks. This report does not cover each topic discussed; for more details examine workshop presentations linked from the workshop web page: http://www.caida.org/workshops/aims/1904/.
Examining Robustness of Google Vision API Based on the Performance on Noisy Images

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.
O conhecimento de idosos portadores de doenças crônicas não transmissíveis acerca de seu tratamento polimedicamentoso

OBJECTIVE: To evaluate the knowledge of elderly patients with chronic noncommunicable diseases about their treatment. METHODOLOGY: A descriptive exploratory study with a qualitative approach. The study sample was intentional, composed of 14 elderly patients, of both sexes, linked to the Diabetic Adult Nursing (EAD) agenda of the ambulatory of the Clinical Hospital of Porto Alegre. Data collection was carried out between September and December 2017.Results: The analysis resulted in two categories: Knowledge about the disease and pharmacological treatment and Use of medicinal plants. The results showed that: all had three or more noncommunicable diseases, with prevalence for Diabetes Mellitus and Systemic Arterial Hypertension; more than half used eight or more concomitant medications; all used medicinal plants concomitant with drug treatment. CONCLUSIONS: Patients have shown a lay understanding of their illnesses and a poor understanding of drug treatment, which may result in the risk of non-adherence to treatment and increased chances of adverse drug reactions.
Texture based Ranking of Categories in a Natural Image

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.
Course Development in the Cybersecurity Curriculum

The paper offers a discussion of fundamental concepts of cybersecurity, aimed at use in technical education at the college level.After outlining some of the existing approaches to curriculum design, as presented in guidelines developed by professional organizations, the authors address the issue of teaching basic concepts and principles of cybersecurity, with examples from their own courses in the undergraduate software engineering program at Florida Gulf Coast University.