Reviewerly/exHarmony huggingface dataset:
Video denoising with adaptive temporal averaging

Recently the proliferation of digital videos has increased exponentially due to availability of consumer cameras . Despite the improvement in the sensor technologies, one of the fundamental problems is that of noise affecting the video scenes. Recently, adaptive, pixel-wise, temporal averaging methods can advocate in denoising videos. In this work, we adapt the edge maps of frames within temporal averaging to guide the denoising away from the edges. This allows the filtering to remove noise in intermediate flat regions while respecting boundaries of objects better. The experimental results indicate that we can obtain improved video denoising results in comparison to other filtering methods.
ltl.uni-due at SemEval-2019 Task 5: Simple but Effective Lexico-Semantic Features for Detecting Hate Speech in Twitter

In this paper, we present our contribution to SemEval 2019 Task 5 Multilingual Detection of Hate, specifically in the Subtask A (English and Spanish).We compare different configurations of shallow and deep learning approaches on the English data and use the system that performs best in both sub-tasks.The resulting SVM-based system with lexicosemantic features (n-grams and embeddings) is ranked 23rd out of 69 on the English data and beats the baseline system.On the Spanish data our system is ranked 25th out of 39.
A structural quality evaluation model for three-dimensional simulations

Abstract Purpose In recent years, computer simulations have become an innovative approach which enables research in the field of highly complicated physical phenomena and the study of the laws which govern the universe. The proper interpretation of the results of a visual simulation requires the highest quality of the generated image, as every distortion or mistake may have a significant influence on the readability, accuracy and even credibility of the presentation of the results. The aim of this presentation is to determine a model that enables precise quality evaluation of the three-dimensional visual simulations in the field of structural correctness. Design/methodology/approach The developed model is a solution that makes it possible to estimate the quality of stereoscopic image in the context of major three-dimensional structural dysfunctions, namely, vertical parallax, rotation mismatch and scale mismatch. Implementing the wrought theoretical model with the use of cost-effective mechanisms of image feature detection creates a robust method which enables the scalar grade of structural correctness of the studied three-dimensional simulation to be computed. Findings On the basis of the conducted research, in particular, taking into account three-dimensional simulations, it was stated that the formulated model with the developed method provides an efficient, structural quality estimation tool applicable for a wide variety of three-dimensional images. The obtained results indicate that the wrought method has huge potential in the application of high-resolution simulations by enabling a screening test of the structural quality of the stereoscopic view in quasi-real time. Practical implications The developed method may be used both in order to verify the quality of ready-to-use three-dimensional image and also at the stage of the calibration of input parameters of the simulation. Originality/value The paper takes into account the selection of the most significant distortions which occur in visual, three-dimensional simulations providing a cost-effective and versatile tool which allows for the detection and elimination of serious mistakes and dysfunctions as early as at the calibration stage.
Integrasi Variable-Centered Intelligent Rule System dengan Teori Dempster-Shafer pada Sistem Pakar Infeksi Saluran Pernafasan Akut

Acute Respiratory Infection (ARI) is a disease caused by infections of the respiratory tract, larynx, pharynx, sinuses and nose. ARI often causes death because the sufferer who comes for treatment is underestimated is already suffering from severe ARI. In 2013 to 2015 ARI was one of the ten most common illnesses in the city of Kupang, where ARI ranked first, followed by other diseases of the upper respiratory tract and grastitis. This study produced an expert system to diagnose ARI using the Variable Centered-Rule System method which functions to facilitate knowledge development and Dempster-Shafer Theory which serves to overcome uncertainty by entering the density of each symptom of ARI in the system. The VCIRS method is a method of building knowledge and inference strategies on expert systems. This method is rigid in accommodating changes in inference strategies except for changes in knowledge structures. This study aims to make the VCIRS method dynamic in an inference process where the sequence of variables in inference is determined by the occurrence and density of the variable. System accuracy by using medical record data of 95% with the triggering sequence of symptoms becoming dynamic every time a consultation session occurs.
A Spatio-Temporal Distribution and Dynamics of Major-, Minor- and Trace- Elements in Two Temperate Urban Lacustrine Ecosystems of Srinagar, Kashmir

Water bodies act as indicators of the extent of anthropogenic interference and pressure while evolving exhibitive fluxes in intrinsic homeostasis.The ecological assessment of standard biophysicochemical variables through space-time monitoring in the region of anthro-urban intensification identifies such ecosystem responses.Sampling, preservation, preparation and analysis follow typical procedures for all the representative testers.Statistical procedures for inference of results involve Mean, Standard Deviation, Range, Correlation, Regression, Analysis of Variance (ANOVA), Cluster Analysis and Principal Components Analysis (PCA).Temperature, pH, conductivity and ionic composition of the surface waters have p<0.01 and R 2 >0.5.Total P perimeter outdid critical eutrophic index (≤ 0.05 mgL -1 ) but nitrate N persisted underneath it (≤ 0.5 mgL -1 ) ordinarily.Elevated nutrient levels reflect multiple human origins and catchment interventions.Priority pollutants (As, Cd, Cr, Cu, Pb, Ni and Se) remained below chronic levels with exception of Fe and Zn exceeding maximum permissible limits for irrigation purpose of the water.Major elements in surface sediments are Si> Ca> Mg> K> Na> P> S> Cl besides the micro and trace ones follow as Fe> Al> Zn> Mn> Cu> Cr> Ni> Co> As> Sn> Pb> Cd.Sediments correspond to calcite catchment character to conform their sink-selves.The peak biomass values as gm -2 are 880.2 in case of Myriophyllum aquaticum, 678.4 in Nelumbo nucifera, 182.4 in Ceratophyllum demersum and 45 in Salvinia natans.The upgraded biomass configuration coincides with supplementary bioconcentration.C/N <10 implies low decomposition rates and autochthonous origin of organic matter.A semidrainage type of flushing hydrology ensures low basin holding time for self-reclaimed nutrient balance.Sediment dredging is beneficial for internal nutrient deloading only after external inputs are curtailed.Biological scavenging and biogenic calcification together lower the bioavailability of nutrients and toxics.Hence, the systemic insitu pliability can prevail till exsitu lacustrine management fortifies euoecism to evade detrimental dysoecism.
Communicate Read Engage (CRE): Towards Reading for Understanding

This action research determined the effectiveness of Communicate, Read, and Engage (CRE) strategy in improving the students' reading comprehension. Using the one-group pretest-posttest design, the teacher administered the reading inventory to the 31 first year college education students enrolled in developmental reading, implemented the strategy and conducted the post reading inventory. Results showed that CRE is effective in improving the reading comprehension level of struggling readers. CRE is recommended as an alternative teaching strategy for learners with comprehension difficulty.
Analisis Firewall Demilitarized Zone dan Switch Port Security pada Jaringan Universitas Putra Indonesia YPTK

The development of information technology so rapidly, greatly helped the works of man. On the one hand man to be very helpful, but on the other side of the system's security level to rise sharply so that in essence the sides of human life is in a threatened position. The techniques of network security systems and precautions against attacks on information systems continue to be developed so that the integrity, availability and confidentiality in an information system becomes more secure. One way is by building a network security system and attack prevention system. In this paper, the authors construct a computer network security systems using a firewall Demiliteralized Zone (DMZ) by using IPtables which is the standard of Linux systems and and Switch Port Security (SPS). Utilization by combining these two technologies to achieve maximum levels of security and is able to block the intruder will attempt an attack with a variety of attacks identified.
Meeting Highlight: Project Redefining Recognition Town Hall

Ask a faculty member to list of all their job-related activities and they would probably include research and maybe teaching. Many would likely also include broader impact activities like K-12 school outreach, public lectures, art installations, reports to local environmental agencies, and expert testimony to policy makers. Yet, faculty frequently report that their institutions rely heavily on accomplishments in research, like publishing and grant funding, to determine tenure and promotion (Schimanski and Alperin 2018). Aligning what faculty do with how they are evaluated is the main goal of Project Redefining Recognition. The project is led by Wiley Publishing with five societal partners, including ASLO. A town hall was held at the 2019 Aquatic Sciences Meeting to better understand the ways in which ASLO scientists share and apply their science, and the challenges they face in earning recognition for these broader impacts. The town hall at the 2019 Aquatic Sciences Meeting was just one of several happening at partner society meetings throughout the 2018–2019 conference season. Many informal conversations about tenure and promotion already happen in research labs and the hallways of institutions. Formal conversations like the town hall are critical to developing a shared vision for the promotion process and putting that vision into action. The organizers believe that Project Redefining Recognition is an initiative that is representative of how societies can work together to create change in the research system.
Investigation into a Link between Students’ English Reading Speed and Reading Comprehension Achievement: The Case of Indonesian EFL Student Teachers

The aims of the study were to look at the link between English as a foreign language (EFL) student teachers’ reading speed and reading comprehension achievement and whether it influenced their reading comprehension achievement or not. The population of the study was 583 active EFL student teachers in one English Education Study Program at an Indonesian state Islamic University. By using purposive sampling technique, there were 87 students involved as participants in this study. The data were gained by using two kinds of tests, reading speed test and reading comprehension test. Descriptive statistics, Pearson Product Moment Correlation was employed to analyze the data. From the data analyses, it was found that the correlation between EFL student teachers’ English reading speed attitude and their reading comprehension achievement did not exist. As the result, the second problem was eliminated. In short, reading speed did not have any relation to reading comprehension achievement.
PERBANDINGAN HASIL BELAJAR PESERTA DIDIK YANG MENGGUNAKAN MODEL PEMBELAJARAN INQUIRY DENGAN MODEL PEMBELAJARAN DISCOVERY PADA MATA PELAJARAN EKONOMI KELAS X DI SMA NEGERI 1 GELUMBANG

Abstract&#x0D; This research entitled "Comparison of Learning Results Students Between Using Inquiry Learning Model with Learning Models Discovery on Economics Class X class at SMA Negeri 1 Gelumbang". The problem formulation is “whether there are differences in learning outcomes of learners between using the model of learning inquiry with the model of learning discovery on the subjects of economy class X in SMA Negeri 1 Gelumbang”. This research is a comparative study, which uses a compeletely randomized design design, with a pretest posttest form. Population in this research is all class X in SMA Negeri 1 Gelumbang. The sample used cluster random sampling, so selected X class IPS 2 as experiment class 1 which amounted to 32 students and X IPS 3 as experiment class 2 amounted to 30 students. Data collection techniques used are tests and observations. Hypothesis using parametric statistic that is test-t and obtained tcount value bigger than table or 2,692 bigger than 1,671 hence hypothesis of Ho refused and Ha accepted. It can be concluded that there are differences in learning outcomes of learners between using the model of learning Inquiry with the model of learning Discovery on the subjects of economy class X in SMA Negeri 1 Gelumbang.&#x0D; &#x0D; Abstrak&#x0D; Penelitian ini berjudul “Perbandingan Hasil Belajar Peserta Didik Yang Menggunakan Model Pembelajaran Inquiry dengan Model Pembelajaran Discovery pada Mata Pelajaran Ekonomi kelas X di SMA Negeri 1 Gelumbang”. Adapun rumusan masalah yaitu “apakah ada perbedaan hasil belajar peserta didik yang menggunakan model pembelajaran Inquiry dengan model pembelajaran Discovery pada mata pelajaran ekonomi kelas X di SMA Negeri 1 Gelumbang”. Penelitian ini merupakan penelitian komparatif, yang menggunakan desain compeletely randomized design, dengan bentuk 2 kelas pretest posttest. Populasi dalam penelitian ini adalah seluruh kelas X di SMA Negeri 1 Gelumbang. Sampel penelitian menggunakan cluster random sampling, sehingga terpilih kelas X IPS 2 sebagai kelas eksperimen 1 yang berjumlah 32 peserta didik dan X IPS 3 sebagai kelas eksperimen 2 berjumlah 30 peserta didik. Teknik analisis data yang digunakan yaitu tes dan observasi. Hipotesis menggunakan statistik parametris yaitu uji t dan diperoleh nilai thitung lebih besar dari ttabel atau 2,692 lebih besar dari 1,671 maka hipotesis Ho ditolak dan Ha diterima. Dapat disimpulkan ada perbedaan hasil belajar peserta didik antara menggunakan model pembelajaran Inquiry dengan model pembelajaran Discovery pada mata pelajaran ekonomi kelas X di SMA Negeri 1 Gelumbang
Specific Character of Visual Forms of Identity in a Social Virtual Environment

The aim of this paper is to determine the specific character of design development and the use of visual forms of identity of users in a social virtual environment.Research methodology. Scientific positions of the research are argued at the level of a set of general scientific methods of cognition (analytical, source-historical, historical) and culturological approaches.Results. In a modern virtual environment, each user has the ability to choose an individual visual image from a large number of design developments, or to create their own, which in their opinion would more faithfully pass on the necessary personal identification in the information and communication networks. According to the specific nature of the private and public aspects of human self-awareness on the Internet, users reflect the appearance, attitude and emotional states in their own visual image, and their perception as a social object takes place in the process of social interaction.Novelty. The types and styles of visual implementation of users of social networks in the context of the specific character of self-identification are considered; it is determined that at the present stage of the creation of visual incarnation not only the use of a figurative approach is involved, but also interactive interaction is expanded with the user, taking into account the social response in the global network and the specifics of the development of websites; the expediency of increasing and diversifying design projects for visualization of users has been proved.The practical significance. The material in this article may be used in developing lectures by specialists in cultural studies.
Clustering Student Instagram accounts using Author-Topic Model Based

This study proposes topic model to cluster a group of high school teenager's Instagram account in Surabaya, Indonesia by using the author-topic models method. We collect valid 235 Instagram accounts (133 female, 102 male students). We gather a total of 3,346 captions of Instagram posts from 18 senior high schools. We find topics that define their Instagram's post or caption; these seven topics are namely: feeling, Surabaya events, photography, artists, vacation, religion and music. Through the process, the lowest perplexity come from 90 iterations, which suggests six groups of topics. The six topics are concluded based on the lowest perplexity value and labelled according to the words included in the topic. The topic of photography discussed by six schools. Photography, artists and vacation are discussed by three schools, while feeling and religion and music are being discussed by two and one school respectively.
Cellular automata representation of agents in models of digital society transformation

The article discusses the cellular automaton representation of the agent of social systems in the digital transformation phase, based on two interacting cellular automata.To display the emergent properties of mental processes and the conscious choice of alternatives, transition rules are used, which reinforce small errors in the representation of floating point numbers, as well as the phenomenon of self-organized criticality.It is noted that the traditional cellular automaton representation should be supplemented with matrices of connectivity graphs of interaction of individuals in social networks.In order to provide a more adequate mathematical representation of the irreversible and emergent properties of mental processes, the concept of temporal numbers and dynamic sets is introduced.As a fundamental dilemma of the modern phase of the evolution of digital society, the choice of goals and ways for further development is considered.Alternatives are conventionally designated as cosmic human and molecular human.Molecular human is a type of personality, focused on the replication of its own genes and existence in the most comfortable conditions.Molecular human is a generalized consumer and the main element of the consumer society.Cosmic human is a passionate personality type, focused on knowledge and on the synthesis of cultural values.The considered cellular automaton representation can serve as the basis, the unit cell for the construction of complex models of social systems in the phase of their digital transformation.
Silent Sound Technology

Silent sound technology SST has be introduced to put end to noise pollution and help the people that have lost their voice and cannot speak on mobile phone. This device is developed at Karlsruhe institute of technology and expected to be see in near feature. This device will notice the lip movement inform of electrical impulse and transfer it to sound speech that can be understood.It will be useful for people that want to make a silent call by just receiving the electrical impulse from lips movement and neglect all other surrounding noise and convert it to sound speech at the receiver ends.It can be used for languages like English, German and French but it cannot be used for language like Chinese because a different tone means different meaning.It will be useful for secrete calling because the caller don't need to utter a word loudly just the lips movement.Silent sound technology (taking without talking) work base on two methods which are electromyography (EMG) and image processing.
Machine-learning-based saliency detection and its video decoding application in wireless multimedia communications

Saliency detection has been widely studied to predict human fixations, with various applications in wireless multimedia communications. For saliency detection, we argue that the state-of-the-art high-efficiency video-coding (HEVC) standard can be used to generate the useful features in compressed domain. Therefore, this chapter proposes to learn the video-saliency model, with regard to HEVC features. First, we establish an eye-tracking database for video-saliency detection. Through the statistical analysis on our eye-tracking database, we find out that human fixations tend to fall into the regions with large-valued HEVC features on splitting depth, bit allocation, and motion vector (MV). In addition, three observations are obtained from the further analysis on our eyetracking database. Accordingly, several features in HEVC domain are proposed on the basis of splitting depth, bit allocation, and MV. Next, a support vector machine (SVM) is learned to integrate those HEVC features together, for video-saliency detection. Since almost all video data are stored in the compressed form, our method is able to avoid both the computational cost on decoding and the storage cost on raw data. More importantly, experimental results show that the proposed method is superior to other state-of-the-art saliency-detection methods, either in compressed or uncompressed domain.
Improving Comprehension of the ‘Jungle Book Graphic Novel’ Using Multimedia Package

It is expected that English literature component is able to assist pupils in having a greater exposure to English language and hence enhance their English proficiency level.This action research was aimed to determine the effectiveness of using the Multimedia Package to improve Year 4 pupil's comprehension of the Jungle Book graphic novel.The participants of this research comprised of 10 pupils from an urban school in Cheras, Malaysia.The research instruments consisted of tests, semi structured interviews and observations.The data of this study was collected by using Test 1 and Test 2. The results revealed that all the participants achieved significant improvements in Test 2 as compared to Test 1.The findings from the interview and observations also concluded that the participants were engaged during the teaching and learning process which incorporated the use of the Multimedia Package.
Petröz apisit tanılı iki olgunun manyetik rezonans görüntüleme bulguları

Petrous apex is located near the Meckel's cave and Dorello channel.The inflammation of the petrous apex can cause severe complications due to important anatomical structures in the immediate vicinity.Therefore, it is important to diagnose petrous apicitis cases in a timely manner.The cases in this study are presented with the opinion that knowing the magnetic resonance imaging findings may have positive influence in the diagnosis of petrous apicitis which is very rare.
ANALYSIS OF SHELLSORT ALGORITHMS

Shellsort is a comparison sort that uses insertion sort at each iteration to make a list of interleaved elements nearly sorted so that at the last iteration the list is almost sorted. The time complexity of Shellsort is dependent upon the method of interleaving (called increment sequence) giving variants of Shellsort. However, the problem of finding proper interleaving to achieve the minimum time complexity of O(n log n) is still open. In this paper, we have analyzed the performance of variants of Shellsort based on their time complexity. Our measure of time complexity is independent of the machine configuration and considers all the operations of a sorting process. We found that the interleaving method or increment sequence proposed by Sedgewick performs best among the analyzed variants.