Reviewerly/exHarmony huggingface dataset:
Chapter 4: Dealing with Time-Series Outliers

The primary distinguishing characteristic of time-series data is that serial correlation plays an essential role. This crucial data characteristic has several important consequences for the problems of defining and dealing with time-series outliers. Three specific differences between time-series outliers and the univariate outliers discussed in Chapter 2 are as follows:1.Univariate outliers are global in nature, while time-series outliers are local: a time-series outlier need only be extreme relative to its neighbors, even if its value falls well within the overall range of the data.2.The sequential structure—i.e., the order and grouping—of time-series outliers matters: outliers spread randomly throughout a time-series data sequence can have very different consequences than the same outliers appearing in localized clusters.3.As a consequence, time-series outlier detection and data cleaning strategies must explicitly address their local character and sequential structure.
Improving Situational Awareness During Early Earthquake Response Using Existing Seismic Risk Models to Rapidly Estimate Damage

In the first several hours following an earthquake, municipalities are often forced to rely upon reports from first responders, reconnaissance along disrupted roadways by emergency personnel, or wait for aerial surveillance and remote sensing. The latter is expected to take at least 12 hours, a crucial period following a major earthquake in which situational awareness can be greatly improved using existing seismic risk modelling tools. This work presents a new initiative to develop a rapid disaster modelling protocol for earthquakes in British Columbia (BC). We explore best practices and the feasibility of using immediately available seismic data in the existing OpenQuake Canada framework to model the impacts to people, the built environment, and the economy from an earthquake in near real-time. The current prototype integrates observed ground motion data from regional strong motion seismometers, like the BC Smart Infrastructure Monitoring System, with physical exposure data from Natural Resources Canada’s Human Settlement Layer to report on key metrics for early response: collapsed buildings, entrapment injuries, hospital demand surge, roadway debris which may block response, and immediate mass care needs like shelter requirements. These indicators will be ported to the British Columbia Common Operating Picture Portal, the online situational awareness and mapping platform for authoritative, collaborative and coordinated distribution of emergency management information in the province. These outputs could be made available within tens of minutes of the earthquake occurring, potentially affording emergency managers the opportunity to best direct resources to save lives and reduce suffering.
Integrating UIKit

In the previous chapter, we learned about Previews and how we can view our UI while we are still developing the SwiftUI code. This allows us to view the layout, and if we are in debugging mode, we can also interact with our UI. So far, we have kept our SwiftUI separate and not used any UIKit either. It is almost as if this were a separate technology or language.
Music and Mathematics

This chapter explores connections between music and mathematics. It includes rationales for integrating music and math, common links between the two disciplines, and a discussion of the Common Core State Standards for Mathematics and the National Core Arts Standards. Tables clearly show the standards that are incorporated throughout the lessons and examples. The chapter contains four detailed, full-length lessons that integrate music and mathematics. These include lessons exploring part/whole relationships in music and math; analyzing structure and pattern, using the song “Wide Open Spaces” as a model; studying the Fibonacci sequence in math and music; and creating an amusement park ride with a theme song. The chapter ends with an inventory of ideas detailing fourteen additional lesson topics, specific teaching strategies, and recommended activities.
Research Output for the Hybrid-AutoML System

In this chapter, the authors use a set of use cases to evaluate how the hybrid autoML system is used to achieve the goals set out in the aims and objectives of this research. The authors map each use case to their aims and contributions as outlined in Section 1.3 of this research. A performance comparison is also made between autoWeka and the hybrid autoML system on 33 datasets. The comparison is carried out based on three main evaluation metrics such as the percentage accuracy (or correlation coefficient where applicable), the mean absolute error (MAE), and the time (in seconds) spent building the model on training data. It is observed that the hybrid autoML system fully outperforms autoWeka with regards to the time spent on building models or finding the best algorithms in the first instance.
Adaptability and applicability of need hierarchy theory in assessing employee satisfaction with special reference to EPC company of UAE

Any research on studying employee satisfaction always looks afresh and same is the case with the research work made by Abraham Maslow in assessing and analysing the needs of human beings. It is a popular theory in the field of motivation and pioneer for other research works to explore further in assessing the satisfaction levels of employees. In today's millennium HR environment a large number tools and tests are available to assess and measure the satisfaction level of an employee yet employers are interested to go through the gross root level of finding the reasons, what makes an employee more satisfied. The current research study is made basically to cater to the needs of employers, analysts, academicians, researchers, practitioners, HR managers and critics, etc., to visualise the application of need hierarchy theory of motivation in assessing employee satisfaction using ethnography method.
The Wheel

Other| August 01 2020 The Wheel Stephen Thomas Stephen Thomas Search for other works by this author on: This Site Google Common Knowledge (2020) 26 (3): 552–557. https://doi.org/10.1215/0961754X-8521657 Cite Icon Cite Share Icon Share Facebook Twitter LinkedIn MailTo Permissions Search Site Citation Stephen Thomas; The Wheel. Common Knowledge 1 August 2020; 26 (3): 552–557. doi: https://doi.org/10.1215/0961754X-8521657 Download citation file: Zotero Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search Books & JournalsAll JournalsCommon Knowledge Search Advanced Search The text of this article is only available as a PDF. Copyright © 2020 Duke University Press2020 Article PDF first page preview Close Modal Issue Section: POETRY You do not currently have access to this content.
Introduction

With the sharing of audio signals over an Internet or communication channel, the security of these signals is required against unauthorized access of it. Therefore, the copyright protection of audio signals plays an important role in the effective sharing of the signal over an open-access medium. The watermarking is one of the techniques which provide copyright protection of audio signals. This chapter presents an overview of digital watermarking, classification of the watermarking, and basic requirement of it.
Installing Scala

Before you can use Scala to write exciting programs and make your way to excellence in Apache Spark, you need to install Scala in your system. Even if Scala isn’t installed on your system, you can open Notepad or any text editor of your choice and write Scala code/expressions and then save the contents of that file with a.scala extension. However, that won’t help you in achieving your desired goal, which is to compile the program that you wrote, run your Scala program, or package it (mostly in the form of JAR files). Not to mention that you won’t be using the facilities that come with the Scala shell (more on that later). These and many other characteristics are enabled if you have Scala installed on your system.
The dataframe concept.

<title>Abstract</title> R objects come in a variety of types: dataframes, matrices, vectors, and arrays for example. Dataframes are an important concept in R, allowing vectors of different types to be combined column-wise into a single object. This chapter discusses combining sets of tables for data collected on different dates and converting factors in a dataframe to numeric or character.
An Overview of Cloud-Based Secure Services for Enterprise Drug–Drug Interaction Systems

Cloud computing has brought a new paradigm shift to the technology industry and has become increasingly popular. Cloud communication is an emerging technology that can be combined with traditional healthcare management used to provide better healthcare services. Today, the adoption rate of cloud computing by small and medium enterprises (SMEs) is much higher than that of large companies. This triggered a debate about whether this cloud computing technology will penetrate the entire IT industry. Small and midsize enterprises are using cloud computing to deploy general IT infrastructure and software systems at low-cost, while large enterprises rely on their own infrastructure to ensure data security, privacy, and flexibility. One of the most demanded healthcare services that needs the cloud privileges is Drug-Drug Interaction – DDI. In this article, we have investigated different traditional systems compared to cloud-based systems, and as a privilege of providing system solutions to the public, what features the cloud brings to improve health management software.
Interactive Gestures

So far, we have learned how to use the various UI elements and create interesting UIs. However, these were more or less all simply visual, and in some cases, we added some simple code to start the animation or trigger some event. In this chapter, we shall look at adding interactivity and allowing the code to respond to the user’s interactions.
Shared Memory

Shared memory is a highly efficient way of sharing data between running processes or programs. It allows two or more unrelated processes to access the logical memory segment. Sharing a common piece of the memory segment is the fastest way that IPC can be achieved. This chapter covers the following topics, which include code samples.
Sarana dan prasarana

administration of educational facilities and infrastructure are all components that directly or indirectly to achieve educational goals. The role of the teacher in the administration of school infrastructure facilities: involved in planning the procurement of teaching aids, involved in the use and maintenance of teaching aids used by teachers, supervision in the use of practical tools by students. Administrative activities in the field of educational facilities and infrastructure include; planning, procurement, inventory, distribution, utilization and maintenance, deletion, and supervision of educational facilities and infrastructure.
Expert System for Chili Plants Disease Detection using Certainty Factor Method

This paper describes the creation of an expert system that is used to diagnose diseases in chili plants using a web-based certainty factor method. This expert system is made based on the weight of symptoms by experts so that users can find out the disease suffered by chili plants based on symptoms that arise. The symptom weight was calculated using the certainty factor method. This method is used to accommodate uncertainties that are often expressed by experts when detecting a disease. The design and manufacture of this expert system are done using the PHP programming language, MySQL database, CSS and the CodeIgniter framework. The results of the analysis between expert and expert systems have 87.09% compatibility level, and based on the calculation of the feasibility of the system with the Delone and McLean model shows that 77.58% of respondents agree Pakarcabaiku.com is a successful system for detecting chili disease.
A TWO FACTOR AUTHENTICATION SYSTEM BASED ON FACIAL RECOGNITION FOR STUDENT IDENTITY VALIDATION

Student identity validation is the most important part of the examination process. When the right student sits for the right examination, the integrity and validity of that examination is upheld. Impersonation in an examination occurs when a student sits in an examination for another student and pretends to be the real student. The student unique identity number is mainly used to determine the validity of a student. However, this method alone does not stop impersonation. This paper therefore develops a biometric system (facial recognition) as a second factor authenticator for student identity validation. The first factor is the unique student identity number and the second factor is the face recognition system. This was achieved by developing a face recognition service model using the python language, OpenCV library and the PyTorch framework. The convolutional Neural Network was adopted and the postgreSQl database was used for the development of the service model. The aim is to mitigate examination impersonation by capturing a live video of every intending student with a HDD camera stationed at the entrance of the examination hall and sending the video captured to a live computer which communicates with the web server to determine whether the student is eligible to sit for that examination. The result of this research effort is a face recognition system which validates students and makes sure that the right student sits for the right examination.
SD Case Study: Graphical-Based User Interface

Options for a graphical-based user interface are discussed for both the Address Book Application (ABA) and Personal Finances case studies. These user interface designs are evaluated using the HCI criteria described in Chap. 17 .
Effectively Optimizing the Patterns with Dynamic Behaviors of the Transactions by using Data Mining Tool

Basic management and understanding the conducted of the client has turned out to be indispensable and testing issue for associations to continue their situation in the focused markets. Mechanical advancements have cleared leap forward in quicker handling of questions and sub-second reaction time. Information mining devices have turned out to be surest weapon for breaking down colossal measure of information and leap forward in settling on right choices. The target of this paper is to break down the colossal measure of information subsequently abusing the buyer conduct and settle on the right choice prompting aggressive edge over adversaries. Test investigation has been done utilizing affiliation principles utilizing Market Basket examination toward demonstrate its value more the regular systems.
administrasi ketatausahaan

In writing this article the researcher aims to discuss issues related to administrative administration. Where researchers use the literature study method in finding reference materials sourced from journals, books and so on. In running an institution or organization, it is necessary to have personnel who have the ability in the field of administration which has administrative duties related to managing correspondence. In the administration of school administration, management of letters that can be carried out by the administration is related to students and teachers. Administration can also be interpreted as an activity related to collecting, managing, recording, sending, copying and storing all information and information relating to students and teachers at school
Solving dynamic parameter estimation problems using generalized oppositional BLPSO algorithm

Dynamic parameter estimation (DPE) problems are often encountered in chemical engineering systems. Due to the nonlinearity and multimodality of the DPE models, it is quite difficult to estimate the parameter values accurately. In this paper, an improved BLPSO algorithm called generalized oppositional biogeography-based learning particle swarm optimization (GOBLPSO) is proposed to address the DPE problems. In GOBLPSO, the generalized oppositional learning strategy is introduced to improve the quality of learning exemplars, and thus enhances the search performance. The GOBLPSO algorithm is applied to solve three chemical DPE problems, and experimental results indicate that GOBLPSO exhibits superior performance compared with the original BLPSO and five other meta-heuristic algorithms.
A Matter of Taste

The standard Horn Scale analysis of scalar implicatures (Horn 1972) has faced several challenges (Krifka 1999, Chierchia 2004), including cases with comparatives (e.g., Paul read more than three books does not implicate Paul didn’t read more than four books) and disjunctions (e.g., Paul read The New York Times or some of the books does not implicate Paul did not read The New York Times). This paper proposes an analysis that avoids these problems by scoping an exhaustive operator below the existential closure assumed in the Alternative Semantics system of Kratzer and Shimoyama (2002). This effectively analyzes the cases above as meaning There’s a group of more than three books such that Paul only read those books and Either Paul only read The New York Times, or there’s a subset of the books such that Paul only read those books.
Assessing Reading

Assessing reading involves assessing to encourage learning, assessing to monitor progress and provide feedback, assessing to diagnose problems, and assessing to measure proficiency. Good assessment must meet the conditions of reliability, validity, and practicality. It also should have a positive washback effect. Chapter 6 looks at ways in which teachers can make their tests reliable, valid, and practical, and describes a wide range of monitoring and assessment measures. These include speed-reading graphs, reading logs, various question types, and information transfer diagrams. The chapter contains many examples of assessment tools and special attention is given to cloze tests and comprehension questions.
Intake

OpflowVolume 47, Issue 7 p. 2-2 Departments Intake First published: 03 September 2021 https://doi.org/10.1002/opfl.1567Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume47, Issue7September 2021Pages 2-2 RelatedInformation
«Sul cavoge» / «sui cavegi». Nota sul pronome enclitico in italiano antico

In an old northern Italian text, the Passione veronese, a textual misunderstanding was due to the non-recognition of an enclitic pronoun after a prepositional adverb. It is an uncommon sequence which was clearly described by Carlo Salvioni in 1903.
News on patent, trade mark and design databases on the internet

• UK trade mark image recognition search now available. • WIPO introduces international legal decision database. • More full-text historical material available from Spain.
Yoti age-checker helps ‘Tinder for teens’ website weed out under 13s

Yoti's face recognition technology has enabled controversial children's social site Yubo to remove thousands of profiles of users who are under the qualifying age of 13.
Detecting Spam Emails/SMS Using Naive Bayes, Support Vector Machine and Random Forest

SMS spams are dramatically increasing year by year because of the expansion of movable users around the world. Recent reports have clearly indicated an equivalent. Mobile or SMS spam may be a physical and thriving drawback because of the actual fact that bulk pre-pay SMS packages are handily obtainable and SMS is taken into account as a private and trustable service. SMS spam filtering may be a relatively recent trip to deal such a haul. The amount of information traffic moving over the network is increasing exponentially and therefore the connected devices are considerably vulnerable. Here network security plays a vital role in this context. In this paper, a SMS spams dataset is taken from UCI Machine Learning repository, and after pre-processing, different machine learning techniques such as random forest (RF), Naive Bayes (NB), Support Vector Machine (SVM) are applied to the dataset inorder to compute the performance of these algorithms.
Conducting Serials Surveys: Common Mistakes and Recommended Approaches

In the changing world of serials, there is a continuing interest in knowing how other libraries are managing their e-journal collections and how these journals have affected the organizational structure and workflow of their institutions. Specifically, has the workload increased when dealing with the ordering, processing, licensing negotiations, serial maintenance, and perpetual access issues of electronic journals? As part of her graduate library studies, Susan Gardner developed a simple seventeen-question Web-based serial survey that addressed some of these issues. She used a “mixture of multiple-choice nominal and ordinal queries supplemented by one open-ended question that allowed the respondent the opportunity for a free response.” Her objective was “to identify developing standards or common practices used by libraries to handle e-journals.” Gardner submitted her survey to 110 164ARL serial librarians and received thirty-four responses. Her presentation detailed how she constructed this viable survey, how she compiled the data, and some of the results. However, the main focus of Gardner’s workshop was her insightful commentary on the design flaws she discovered within the survey that may have skewed her results and how these mistakes could be avoided in future surveys. [Article copies available for a fee from The Haworth Document Delivery Service: 1-800-HAWORTH. E-mail address: &lt;docdelivery@haworthpress.com&gt; Website: &lt;http://www.HaworthPress.com&gt;]
Free Speech Even If It Hurts

This essay was originally published as an Opinion Editorial in the <italic>Los Angeles Times</italic> as “Free Speech, Even if it Hurts” on February 22, 2006. It was in response to the news that Holocaust denier David Irving, whom I wrote about in my co-authored 2000 book (with Alex Grobman) <italic>Denying History</italic> (2nd edition 2009), had been sentenced to three years’ imprisonment in Austria for violating one of their “hate crime” laws, a misguided, impractical and, in my opinion, immoral attempt to combat hate speech with censorship (and punishment) rather than with free speech. Unbidden and unbeknownst to him, before Irving’s sentencing, I wrote a letter to the judge along the lines of what I argue here, asking not just for leniency in his sentencing but for Irving’s freedom. I have no idea if the judge ever read my letter, and unfortunately I no longer seem to have a copy of it in my archives. That Irving was arrested at the airport in Austria well before he was scheduled to deliver his speech means that this was worse than an assault on free speech; it was an assault on free thought – literally a thought crime. How Orwellian.