Reviewerly/exHarmony huggingface dataset:
Temporal changes in the distinct scattered wave packets and their origin associated with triggered earthquake swarm beneath the Moriyoshi-zan volcano, northeastern Japan

&amp;lt;p&amp;gt;We investigated temporal changes in the waveform of wave packets in S-coda associated with a swarm-like earthquake sequence, and estimated the original location of the wave packets via an array analysis. The earthquakes are located around the Moriyoshi-zan volcano in northeastern Japan, and were triggered by the 2011 off the Pacific coast of Tohoku earthquake, forming the largest cluster to the north of the volcano. A notable feature of seismograms from the triggered earthquakes is the appearance of the distinct scattered wave-packets (DSW) that are S-to-S scattered waves from the localized strong heterogeneity in the mid-crust. The DSW appear about 2&amp;amp;#8211;3 s after the onset of S-wave with a dominant frequency of 8&amp;amp;#8211;24 Hz and with a duration of around 1 s. Furthermore, the DSW show the variation in their shapes even in the roughly near events.&amp;amp;#160;&amp;lt;br&amp;gt;To investigated the variation of DSW in detail, we first grouped events in the largest cluster with short inter-event distances and high cross-correlation coefficients (CC) in the time window of direct waves. Then we focused on the DSW part. Even in the same group, DSW showed temporal changes in their amplitudes and shapes. The change occurred gradually in some cases, but temporal variation were much more complicated in many cases. For example, the shapes of DSW changed from unclear peak to clear double peaks and suddenly back to the unclear. We also found that the shape of DSW changed in a very short time interval, for example, within ~ 12 h.&amp;amp;#160;&amp;lt;br&amp;gt;Next, we estimated the location of DSW origin by applying the semblance analysis to the data of the temporary small-aperture array deployed to the north of the largest cluster. The DSW origin is located between the largest cluster within which hypocentral migration had occurred and the low-velocity zone depicted by a previous tomographic study. These observations imply the existence of crustal fluid and the DSW origin was composed of crustal fluid accumulated midway in the upward fluid pathway from the low-velocity zone to the earthquake cluster.&amp;amp;#160;&amp;lt;br&amp;gt;Though we could not entirely exclude the possibility of the effect of the event location and focal mechanisms, the remarkable temporal changes in DSW waveforms possibly reflect the temporal changes in and/or near the origin. The short term change in DSW implies that fast movement of crustal fluid can occur at the depth of the mid-crust.&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;amp;#160;&amp;lt;/p&amp;gt;
Image Watermarking Based on the Watershed Segmentation

Image watermarking is a technology that enables copyright protection of images, but causes a deterioration of host image. The purpose of this paper is to suppress the quality degradation of the cover image. Our methods divides the image into similar nonoverlaped blocks for each pixel using the watershed segmentation, and embeds a watermark of spread sequence. This division narrows the range of pixel values in the block, so that a smaller watermark can be embedded. The embedding approach in the proposed method uses the smear transform. As a result, a watermarked image can be generated while suppressing the image quality deterioration.
Kemas Ulang Informasi Randai bagi Siswa di SMA 1 Koto Timur Kabupaten Padang Pariaman

AbstractThis paper discusses the need for randai information and the process of making Randai Information Repackage for Students at SMAN 1 V Koto Timur. This study aims to determine the need for randai information and how to re-make randai information for students in SMA N 1 V Koto Timur. This study uses a descriptive method that is conducting direct interviews with a number of students at SMAN N 1 V Koto Timur, Padang Pariaman Regency. First, the need for randai information in SMAN 1 V Koto Timur, there are still some students who want to meet the general information needs both from other information such as reading materials in the library such as books and randai activities themselves. Secondly, there are several stages in making information back: (1) Identifying user needs by collecting and examining what will be contained in the information package; (2) Finding the needed sources, searching for information by collecting selected books and articles/ journals from the internet; (3) The collection of information that has been obtained from several books and articles/ journals from the internet is then stored in a computer file or flashdisk; (4) Packaging information by selecting data from various sources of books and articles/ internet journals and packaged in printed form; (5) Determine the form of information packaging to be made, namely printed; (6) Editing, checking deficiencies and forming packaging to make it more attractive and easily read by information users; (7) Printing of packaging is in the form of print publication. Third, in making information repackaging there are some obstacles. First, Constraints: (1) Data search and information gathering; (2) Lack of expertise in making packaging; (3) Determination of information to be contained in the package. Second, the efforts made: (1) Gathering as much data as possible from books, journals and other official articles; (2) Asking for help from experts to help the process of making packaging; (3) Finding information from several journals and book.Keywords: information, randai, and repackage
Impact of strategic agility on creating competitive advantage: evidence from Jordanian insurance companies

This research was conducted to examine the impact of strategic agility on creating a competitive advantage by offering evidence from the insurance companies in Jordan. The population of the study consists of managers at the higher levels working in the insurance companies of Jordan. A questionnaire was developed for collecting the required data. The population was of 288 respondents who were selected for the research in which the sample was 167, with all questionnaires valid for statistical analysis. Structural equation modelling (SEM) was used to test the hypotheses of the research. The results of the study show that strategic agility has an impact on competitive advantage. Based on the study results, managers and decision-makers of insurance companies in Jordan have to improve their ability to create values to clients, and work with chain partners in order to involve them of their decisions and outcomes using their capabilities to provide insurance services, which they provide at prices lower than competitors, or provide better products according to specifications required by their customers.
The Higher-Order Prover Leo-III.

The automated theorem prover Leo-III for classical higher-order logic with Henkin semantics and choice is presented. Leo-III is based on extensional higher-order paramodulation and accepts every common TPTP dialect (FOF, TFF, THF), including their recent extensions to rank-1 polymorphism (TF1, TH1). In addition, the prover natively supports almost every normal higher-order modal logic. Leo-III cooperates with first-order reasoning tools using translations to (polymorphic) many-sorted first-order logic and produces verifiable proof certificates. The prover is evaluated on heterogeneous benchmark sets.
Virtual Operated Robot Arm (VORA)

More and more robots are being used in our world today to carry task and help us humansbecause of the jobs that are boring, dirty or dangerous. These robots could be programmed to performcomplex task for humans. However, accidents are prone to happen when the user controls the robot and therobot goes out of control, or when the use is to maintain the robot, and the robot is not properly isolated thenaccident happens. With the VR technology, the user can be trained to work with the robots without theactual robot where the risk is.
Accomplishment of Multimedia Ontology for the Tunisian Archaeology Field

Interoperability is a key concept in what is known today as “data web” because it is by releasing the data from the application constraints that it is possible to easily navigate and react to additional information that complements the initial resource. However, while being released from the web applications, the information loses its contextualization and it will then be essential to document it by the addition of metadata. To cover the semantic richness of an object and the diversity of the information attached to it, there are computer ontologies designed to provide more meaning to the beacons and contextualize more information about a domain. Nevertheless, until now, we have not found any ontology for the Tunisian archaeological field. In fact, we aim to develop a multimedia ontology for the Tunisian archaeology domain, in order to structure the diversified knowledge involved in this field. The development of ontology will be realized in six steps which are described in this paper.
The Hawkes Edge Partition Model for Continuous-time Event-based Temporal Networks.

We propose a novel probabilistic framework to model continuously generated interaction events data. Our goal is to infer the implicit community structure underlying the temporalinteractions among entities, and also to exploit how the latent structure influence their interaction dynamics. To this end, we model the reciprocating interactions between individualsusing mutually-exciting Hawkes processes. The base rate of the Hawkes process for each pair of individuals is built upon the latent representations inferred using the hierarchical gamma process edge partition model (HGaP-EPM). In particular, our model allows the interaction dynamics between each pair of individuals to be modulated by their respective affiliated communities. Moreover, our model can flexibly incorporate the auxiliary individuals’ attributes, or covariates associated with interaction events. Efficient Gibbs sampling and Expectation-Maximization algorithms are developed to perform inference via P´olya-Gamma data augmentation strategy. Experimental results on real-world datasets demonstrate that our model not only achieves competitive performance compared with state-of-theartmethods, but also discovers interpretable latent structure behind the observed temporal interactions.
Image based Steganography in Cryptography implementing different Encryption-Decryption Algorithm

Steganography is data hidden within data. Steganography is an encryption technique that can be used along with cryptography as an extra-secure method in which to protect data. Steganography techniques can be applied to images, a video file or an audio file. Steganography is the practice of concealing a file, message, image, or video within another file, message, image, or video. The first recorded use of the term was in 1499 by Johannes Trithemius in his Steganographia, a treatise on cryptography and steganography, disguised as a book on magic. The advantage of steganography over cryptography alone is that the intended secret message does not attract attention to itself as an object of scrutiny. Plainly visible encrypted messages, no matter how unbreakable they are, arouse interest and may in themselves be incriminating in countries in which encryption is illegal. Whereas cryptography is the practice of protecting the contents of a message alone, steganography is concerned both with concealing the fact that a secret message is being sent and its contents. Steganography includes the concealment of information within computer files. In digital steganography, electronic communications may include steganographic coding inside of a transport layer, such as a document file, image file, program or protocol.
Eye tracking for interaction: adapting multimedia interfaces

This chapter describes how eye tracking can be used for interaction. The term eye tracking refers to the process of tracking the movement of eyes in relation to the head, to estimate the direction of eye gaze. The eye gaze direction can be related to the absolute head position and the geometry of the scene, such that a point -of -regard (POR) may be estimated. We call the sequential estimations of the POR gaze signals in the following, and a single estimation gaze sample. In Section 5.1, we provide basic description of the eye anatomy, which is required to understand the technologies behind eye tracking and the limitations of the same. Moreover, we discuss popular technologies to perform eye tracking and explain how to process the gaze signals for real-time interaction. In Section 5.2, we describe the unique challenges of eye tracking for interaction, as we use the eyes primarily for perception and potentially overload them with interaction. In Section 5.3, we survey graphical interfaces for multimedia access that have been adapted to work effectively with eye-controlled interaction. After discussing the state-of-the-art in eye-controlled multimedia interfaces, we outline in Section 5.4 how the contextualized integration of gaze signals might proceed in order to provide richer interaction with eye tracking.
LibGuides: News Sources for Higher Education: YouTube News Channels

Easy access to news and issues that impact higher education Reputable higher ed YouTube sites
A Hierarchical Graph Model for Disease Identification Based on Basic Symptoms

Medical data analysis is an important area of research in computational science. Many methods are proposed to carry out the analysis. In a country like India medical facility is not available in many rural areas due to the lack of doctors or hospital facilities. Therefore the people don't get the proper medication rather the fake doctors (quarks) gave them wrong medications. This is a big problem for the rural areas of many countries including India. However due to the rapid growth of internet and mobile phones, people in rural areas are accessing the internet regularly and habituated to the use of it. Therefore if an interactive medical system is given to them in the form of apps they can use it easily. In this research work a graph model based system is proposed where the people can give simple symptoms to diagnose their diseases. A hierarchical graph named as “Hierarchy Graph for Disease Identification” (HGDI) is proposed for this purpose. This could be implemented in apps /software for real life usage.
ERROR ANALYSIS OF THE WRITTEN PRODUCTION OF THE UNDERGRADUATES OF ENGLISH LITERATURE: A STUDY AT THE PRIVATE UNIVERSITIES IN BANGLADESH

n the tertiary level English literature classes learners have to attend written exams. The learners need to incorporate the critical and analytical discussions of particular literary texts in English. The teacher has to assess the English literature exam papers from both language (Form) and literature (Content) points of view. It is essential for the tertiary level English literature learners to have knowledge of possible errors in writing English. The aim of the paper is to develop awareness of both teachers and learners about the Error Analysis to ensure error-free writing of English literature study that will help the undergraduates not only in having standard grades in the exams but also the nation will get competent undergraduates of English literature classes. The qualitative research methodology has been followed to collect data adequately by supplying questionnaire and checking written scripts of the undergraduates in this study.
Exploration Analysis in Finite-Horizon Turn-based Stochastic Games.

Exploration and exploitation trade-off is one of the key concerns in reinforcement learning. Previous work on one-player Markov Decision Processes has reached near-optimal results for both PAC and high probability regret guarantees. However, such an analysis is lacking for the more complex stochastic games with multi-players, where all players aim to find an approximate Nash Equilibrium. In this work, we address the exploration issue for the N>N N -player finite-horizon turn-based stochastic games (FTSG). We propose a framework, \textit{Upper Bounding the Values for Players} (UBVP), to guide exploration in FTSGs. UBVP leverages the key insight that players choose the optimal policy conditioning on the policies of the others simultaneously; thus players can explore \textit{in the face of uncertainty} and get close to the Nash Equilibrium. Based on UBVP, we present two provable algorithms. One is \textit{Uniform}-PAC with a sample complexity of O~(1/ϵ2)>O~(1/ϵ2) O~(1/ϵ2)  to get an ϵ>ϵ ϵ -Nash Equilibrium for arbitrary ϵ>0>ϵ>0 ϵ>0 , and the other has a cumulative exploitability of O~(T)>O~(T−−√) O~(T)  with high probability.
Learner-Generated Noticing Through Task Repetition and Transcription

Task repetition provides opportunities for learners to attend to language form, but findings on its effects are inconsistent. Thus, this study investigates the effects of task repetition on learner performance and further examines whether adding a transcription activity to task repetition directs their attention to form, thus improving learners’ performance. Twenty-four EFL students performed two picture narration tasks, each of which is repeated, but one of the tasks additionally adopted transcription. The participants had a self- and peer evaluation of task performance with the transcription. Later, the participants’ experiences on repetition and transcription were asked through a questionnaire. Learner performance was assessed in terms of accuracy and fluency. A repeated measures MANOVA indicated the significant effects of task repetition only on the length of production. A comparison of accuracy and fluency in the learners’ production in the two tasks found no difference, indicating that the additional transcription activity failed to improve learner performance. Despite no significant effects of transcription, the results of a questionnaire suggest that the transcription activity helped the learners notice and work on their own problems.
Deep Reinforcement Learning Approach for Building of Autonomous Robots Formations

Controlling the formation of mobile robots is an important task for autonomous robots. Especially when moving autonomously without human oversight, controlling movement, and forming a group of agents is a critical and challenging task. The feasibility and effectiveness of this control approach is tested in simulation.
Entanglement preservation based on classical correlations

Entanglement suffers from noise in quantum channels. Noise originating from bit-flip and phase-flip errors has intrinsically different classical correlations. We find that these can be effectively explored when recovering entanglement by procrustean filtering.
MUSE2020 challenge report.

This paper is a brief report for MUSE2020 challenge. We present our solution for Muse-Wild sub challenge. The aim of this challenge is to investigate sentiment analysis method in real-world situation. Our solutions achieve the best CCC performance of 0.4670, 0.3571 for arousal, and valence respectively on the challenge validation set, which outperforms the baseline system with corresponding CCC of 0.3078 and 1506.
Teaching Strategy for Improvement of Socialization Skill of Student withAutism

This study explores the scenario of teaching strategy and its effectiveness on students with Autism. The study finds that teaching strategy is not effective. Teaching strategy depends on teacher’s education background, knowledge about special children, teacher’s interest and willpower. But maximum teachers have inadequate knowledge about special education. In our country this section was disregarded but there has been some structural development over the years. However, still there is no good quality education, training system and sufficient budget. The senior teachers have more experience, so they are only good at this sector. As our social environment and transport are not suitable for them. So children and family members are victims of bulling. For this reason many parents don’t come regularly to school. As a result distance is created between teacher and student. So, teachers should give motivation and mental support. Parents’ consciousness, teaching performance, proper guideline & social skill therapy can develop their socialization skill. Developing the socialization skill depends on the level of Autism. The children with Mild Autism can develop very quickly. Early intervention plays a great role for developing socialization skill of Autism. Regular class, social skill therapy, making friends, parents’ support and proper direction are needed to improve socialization skill for these children with Autism.
Accelerated Density-Based Clustering using Bayesian Sequential Partitioning

This paper presents our work on improving an existing density-based clustering algorithm. By using Bayesian sequential partitioning (BSP) in the density estimation part of the algorithm, we were able to significantly reduce the computational complexity of the clustering algorithm. Simulation results showed 15 to 40% reduction in computation time, depending on the dimensions of the data, while retaining the clustering accuracy of the original algorithm.
Cloud Shell and Cloud SDK

While most of the exercises in this book can be completed with the user interfaces available in Google Cloud Platform, they can also be completed via the command line or with the Google Cloud API. Google also offers SDKs in multiple languages for programmatic access. Google Cloud Shell is a fully functional Linux virtual machine running on Google Compute Engine, which you can use to interact with BigQuery and other Google Cloud Platform services. This appendix covers installation and basic BigQuery operations using the Cloud Shell and SDK.
Persepsi Siswa Sekolah Menengah Atas (SMA) terhadap Perpustakaan Proklamator Bung Hatta Bukittinggi

Abstract The purpose of this research are (1) find out how the perceptions of high school students towards the librarians of the Bung Hatta Proclamator Library. (2) find out how the perceptions of senior high school students to the collection of Bung Hatta Proclamator Library. (3) knowing how perceptions of senior high school students to the services of Bung Hatta's Proclamator Library. (4) knowing the perceptions of high school students on Bung Hatta Proklamator Library facilities.Keywords: Perceptions, Students, Bung Hatta's Proclamator Library
MASSIVE: Tractable and Robust Bayesian Learning of Many-Dimensional Instrumental Variable Models

The recent availability of huge, many-dimensional data sets, like those arising from genome-wide association studies (GWAS), provides many opportunities for strengthening causal inference. One popular approach is to utilize these many-dimensional measurements as instrumental variables (instruments) for improving the causal effect estimate between other pairs of variables. Unfortunately, searching for proper instruments in a many-dimensional set of candidates is a daunting task due to the intractable model space and the fact that we cannot directly test which of these candidates are valid, so most existing search methods either rely on overly stringent modeling assumptions or fail to capture the inherent model uncertainty in the selection process. We show that, as long as at least some of the candidates are (close to) valid, without knowing a priori which ones, they collectively still pose enough restrictions on the target interaction to obtain a reliable causal effect estimate. We propose a general and efficient causal inference algorithm that accounts for model uncertainty by performing Bayesian model averaging over the most promising many-dimensional instrumental variable models, while at the same time employing weaker assumptions regarding the data generating process. We showcase the efficiency, robustness and predictive performance of our algorithm through experimental results on both simulated and real-world data.