Reviewerly/exHarmony huggingface dataset:
A sample and data management system for µCT-based X-ray histology

While setting up a facility for X-ray histology (XRH) [1] in Southampton the challenge arose of how to manage samples, data and associated metadata. This is challenging as the same sample can be analysed multiple times in different states and different modalities including micro-computed tomography (μCT), conventional (2D) thin section-based histology/whole-slide imaging or immunohistochemistry. A fresh piece of tissue may be imaged, frozen, imaged, embedded in paraffin wax, imaged, and sectioned and processed using histological techniques, all of which needs to be included attached in the sample record. Moreover, sample and data management system needed to be user-friendly. These requirements have led to the development of XRHMS, a management system to keep track of all samples within the facility, their data and their metadata, as summarised in Figure 1. Metadata of interest about the sample includes details about the tissue type and origin, preparation, storage requirements and current location. Figure 1 Information included in XRHMS The combination of storing raw / processed image data and metadata requires careful architectural decisions, and is built on previous work in this area [2] and uses a database for the metadata and file system for the µCT data. The system can store data from multiple different acquisition systems and digitised histological slides, and is designed to be easily extensible. The XRHMS provides full tracking and accounting of all samples/data/processes and enables cross-linking between related datasets. The XRHMS also forms the basis for automation of data processing, with preview images and slices generated automatically, as well as performing basic pre-processing, with additional features planned. The system can generate summary reports about the samples containing information about the scans performed and related images. These provide a useful overview of the scan and data interpretation guidance for people not familiar with the technique or viewing 3D datasets.
Academic Students Attendance System: A Case Study of Alexa Skill Development

‘Alexa’ which is developed by Amazon Lab 126 is an intelligent virtual assistant used to improve the user’s comfort. Its expanded technology and modern range of facilities empowers the users to connect the different things wirelessly. Due to its compatibility with Android and iOS platform and ever growing applications, peoples are using Alexa as a house assistant. It is able to respond numbers of voice commands like maintaining to-do-list, alarm setting, controlling electrical appliances, providing world information. It can also be used as a gateway device which accepts the voice commands coming from different IoT enabled devices. Generally, upon requesting, the task performed by Alexa is called ‘Alexa Skills’ which is essentially a voice-driven Alexa app. In this work, the basics of Alexa skill development is discussed by building a simple custom skill called ‘Academic Students Attendance System’ which can be implemented in any educational institution where the number of students present in the class can be obtained from the voice command.
Violent Crime, Hate Speech or Terrorism? How Canada Views and Prosecutes Far-right Extremism (2001–2019)

Fifty-six individuals were charged with terrorism between December 2001 when Canada first enacted its antiterrorism criminal offences and December 2019. Not a single such individual was associated with a far-right group or espoused a far-right ideology. Over the same period of time, Canada saw a rise in far-right violence and crime, including several deadly attacks that raised the spectre of terrorism. This article seeks to identify why terrorism has not been associated with the activities of those on the far right, how Canada has prosecuted far-right violence if not for terrorism and what the implications are for Canada’s criminal prosecutions going forward. It finds that since December 2001 all publicly reported hate speech cases and cases where an individual’s sentence was aggravated for hate have involved individuals espousing far-right rhetoric; likewise, all but one case where the media raised the spectre of terrorism but no such charge ensued can be described as being motivated by far-right ideation. In the result, Canadian law punishes more seriously Al-Qaida (AQ)-inspired extremism than far-right extremism, while stigmatizing the former more than the latter. The time has thus come to tackle head-on the concept of ideology in Canadian criminal law, and how the law treats various ideologies.
Hubungan Keterampilan Memparafrasakan Puisi dengan Keterampilan Menulis Naskah Drama pada Siswa Kelas XI SMAN 9 Kota Bogor

This study aims to determine the correlation between poetry paraphrasing skills and drama script writing skills in class XI students of SMAN 9 Bogor City. The method for this study is a quantitative with correlation techniques. The population in this study were all students of class XI of SMAN 9 Bogor with a total of 310 students. Writing drama scripts by collecting data through poetry paraphrasing skilltests is the technique of the sample which 36 students from class XI IPS 3 as the object of this study. The research hypothesis has a positive relationship between poetry paraphrasing skills and drama script writing skills. After the data was collected, the researcher calculates it by the product moment formula. Based on the theoretical (r) coefficient or r table in the product moment correlation table, it can be seen that the significant level of 5% and 1% of (N = 36) respectivelyare 0.329 and 0.424. The results show rabel (5% = 0.329) less than rxy (0.331) less thanrabel (1% = 0.424) which means that it relates to a positive relationship between the skills of paraphrasing variable (X) with drama script function variable (Y) by weak level. Thus poetry parenting skills contributed 33% to drama script writing skills. While the other 67% is influenced by other variables not examined in this study.
Know How to talk to Sun Country ...

Know How to talk to Sun Country Live Person, and get help related to your booking queries. Contact Sun Country Phone Number live person on
How to Download YouTube Videos on Android Phone or Tablet

Downloading YouTube videos on your Android device is a pretty useful and cool thing to do. YouTube is among one the Most Useful Websites 2018. People ...
LibGuides: Media and Photography: Academic Study Skills

Everything you need to know about using the libraries and resources Resources and activities to support research skills
IMPLEMENTASI NAÏVE BAYES CLASSIFIER UNTUK MENENTUKAN JENIS SKRIPSI BERDASARKAN BIDANG KEILMUAN DI TEKNIK INFORMATIKA STT-PLN

The college student hard to search the thesis reference based on scientific field because in informatics engineering STT-PLN there is no thesis category, so the list of exist thesis has not been categorized and not ordered. This study discusses the classification of thesis based on scientific fields using the Naive Bayes Classifier (NBC) method. The used data in this study is the thesis abstract of Informatics Engineering students in STT-PLN Jakarta. Which is to determine abstract documents belong to certain categories using K-means clustering. The function of clustering here is to group documents that are similar to each other. The application of Naive Bayes Classifier method with text mining as an initial data processing from the thesis type classification app based on scientific field, could be conclude that this study produce the accuration from probability value 90 % and proved that Naive bayes method could be used for helping classify thesis type based on scientific field.
Research Guides: Introduction to Systematic Reviews: Data Extraction and Screening

The purpose of this guide is to facilitate collaboration between Stanford students, faculty and staff, and Lane Librarians on knowledge synthesis projects, such as systematic reviews; provide guidance documents for conducting knowledge synthesis; and high
Reconceptualizing Video Games for Community Spaces

This chapter is a call to action for more video games in community spaces. Experiencing art in a community context changes the character of the experience in terms of presence, discovery, and enchantment. Video games, an interactive media art, are perhaps the most dominant form of art happening today; yet, compared to other art forms, video game experiences in community spaces are few and far between. Technical challenges and stifling economic forces commanding the game industry and game culture provide explanations for this scenario. These forces have shaped a limited conception of video games that widely dictates the types of games that are developed as well as how and where players consume them. However, while modern mainstream commercial games have largely evolved into a form unsuitable for community spaces, there exists historical and current design paradigms for video games intended for such spaces. In particular, the burgeoning medium of augmented reality (AR) fits naturally within community spaces, as demonstrated by mainstream examples such as Snapchat ART and Pokémon GO. Design patterns and formal elements that are better suited for community spaces emerge through an examination of the properties of access and attraction in the home video game, arcade cabinet, bar trivia, and AR experience formats. By uncovering the possibilities of video games in community spaces, the chapter raises awareness of a broader conception of video games and urges game developers toward applying their craft through AR in more community spaces.
Godwin’s Citations, 1783–2005: Highest Renown at the Pinnacle of Disfavour

Citation analysis makes it possible to be more precise about the intensity, timing, and quality of an author’s reception and impact. We examine William Godwin’s citations using two sources, one from the outset of his career to 1966, the other starting in 1900. The earlier source allows investigation of the content of the citations: we divide them crudely into critical and others. Godwin’s peak of citation renown occurs later than might have been expected, in 1801, and is mostly negative at that point. When in deep disfavour, he was highly visible. Godwin’s reputation fell into several different periods, not just one. Overall, it was U-shaped, at its lowest in the 1870s. His flame never went out entirely, and has surged again in recent decades
The Influence of Multimedia on Student Learning Outcomes at SMKN 1 Sinjai

Abstract. The problems in this study stem from the effect of the use of multimedia-based presentation media on vocational learning outcomes, the condition of multimedia equipment available in schools and the ability of teachers to use multimedia equipment. The purpose of this study was to determine the effect of the use of multimedia presentation media on vocational learning outcomes, to determine the condition of the multimedia equipment available in schools, and to determine the level of teacher ability in using multimedia applications. The theories related to this research are presentation media, learning outcomes, and learning media. The type of research used in this research is quantitative research methods that can identify a population, prove hypotheses and research models. This research instrument is a questionnaire used to measure students' perceptions about the subject. The data analysis technique used in this study is the validity test which is measured to determine the feasibility of the items in a questionnaire, the reliability test if the instrument is reliable enough to be used as a data collection tool because the instrument is good, the classical assumption test consists of a normality test that tests whether in a regression model, the dependent and independent variables have a normal distribution or not, then the linearity test aims to find out whether two variables have a linear relationship or not, and uses simple linear regression which is used to determine how much influence the subject has on student learning interest in SMK . The results of this study indicate that there is an effect of the use of multimedia on student learning outcomes of SMKN 1 Sinjai. The implementation of this multimedia learning can be carried out well because the facilities and infrastructure that support it, such as the availability of electricity, laptops, screens, LCDs, cables and terminals, and multimedia laboratories are in good condition. Keywords : Media, Learning, Multimedia
The Efficacy of Context Clue Strategy Instruction on Middle Grades Students' Vocabulary Development.

AbstractThis study compares the effectiveness of context clue strategy instruction to wide reading practices in terms of their impact on the vocabulary knowledge of students who read at frustration...
The Microeconomics of Cryptocurrencies

Since its launch in 2009 much has been written about Bitcoin, cryptocurrencies and blockchains. While the discussions initially took place mostly on blogs and other popular media, we now are witnessing the emergence of a growing body of rigorous academic research on these topics. By the nature of the phenomenon analyzed, this research spans many academic disciplines including macroeconomics, law and economics and computer science. This survey focuses on the microeconomics of cryptocurrencies themselves. What drives their supply, demand, trading price and competition amongst them. This literature has been emerging over the past decade and the purpose of this paper is to summarize its main findings so as to establish a base upon which future research can be conducted.Institutional subscribers to the NBER working paper series, and residents of developing countries may download this paper without additional charge at www.nber.org.
File_Org - An Automated File Organization System

One of the simplest and most overlooked aspects of being organized is getting your computer files arranged appropriately. Every time you have to dig around for a document you can’t find or have to do unnecessary clicks to access a file or a folder. Due to this, you are not as productive as you could be. Since this is a digital mess and not a physical one, often you don’t realize you have a problem until you have one. You don’t feel the pain of a disorganized system until you can’t find a document you need. Sometimes, to skip searching the required file from a large set of files in the folder we download that file again and as a result, the folders gets even more cluttered. For this problem, we have come up with an innovative solution ‘SortIt’ to design a program which will help the user to organize the jumbled files into appropriate folders. It will take a few seconds to file something away in the appropriate folder. The goal is to automate the file organization in computer systems and stay clutter free without an effort. SortIt will have two main approaches to arrange and sort files into folders- extension driven and content- driven. The program will be intelligent enough to identify a file by reading its content and matching it with the given dataset. There is one more add-on feature in this program - User Based Sorting, wherein the users just need to mention the type/name of file for which it is looking for, for e.g. - files belonging to study material or accounts or a computer program etc., and the program will automatically create a folder related to similar items.
The processes of organizing teaching students’ algorithms and models

Updating the system of student assessment in improving the quality of education, that is the development of personal consciousness, the problem was solved on the basis of non-rigorous mathematical methods when creating a system of assessment management in a subject, expanding the imagination, enriching thinking and leading to learning.
Implementation and Use of Virtual Reference Services in Academic Libraries during and post COVID-19 Pandemic: A Necessity for Developing Countries

Virtual reference services (VRS) is increasingly being implemented and used to muster increase real time interaction between library users and the libraries While the implementation and the use of the VRS in academic libraries is growing rapidly in todays world, particularly in the developed countries, in the developing countries, the development has recorded a medium of success This study presents an extensive synthesis of literature on VRS from different electronic databases, including EbscoHost, Elsevier, Emerald, Google Scholar, JSTOR, Science Direct and Taylor & Francis Online Consequently, four commonly used VRS communication technologies that can help ease the impact of COVID-19 pandemic in meeting library users information needs are presented The paper also look at the plethora of challenges of VRS implementation and use in developing countries and makes recommendations for a way forward As a contribution to this area of research, the study argues that there may be a space for the extension of social media tools such as Facebook Express Wi-Fi, Facebook Free Basic Model and Twitter in the academic libraries VRS This is unarguably because of its immense occupation of the real time information space in COVID-19 pandemic era, whose second wave return explicitly spells out that its end is far from sight
A Novel Integrated Machine &amp; Business Intelligence Framework for Sensor Data Analysis

Increased smart devices in various industries are creating numerous sensors in each of the equipment prompting the need for methods and models for sensor data. Current research proposes a systematic approach to analyze th... | Find, read and cite all the research you need on Tech Science Press
Capturing Covertly Toxic Speech via Crowdsourcing

We study the task of labeling covert or veiled toxicity in online conversations. Prior research has highlighted the difficulty in creating language models that recognize nuanced toxicity such as microaggressions. Our investigations further underscore the difficulty in parsing such labels reliably from raters via crowdsourcing. We introduce an initial dataset, COVERTTOXICITY, which aims to identify and categorize such comments from a refined rater template. Finally, we fine-tune a comment-domain BERT model to classify covertly offensive comments and compare against existing baselines.
Secure Authentication Mechanism for Users using Virtual Reality

Authentication plays a major role nowadays with the increase in digital technology and the mechanisms to break the technology. Entire world is moving towards the digital world where the data security has to be maintained. On this basis authentication system that exists now which are 2D based can be easily decoded or hacked. Hence a new mechanism using 3D concept has its scope for better authentication. Virtual Reality can be used for authenticating the user entry. This 3D based authentication provides user with utmost opportunity to increase usability by making the user to immerse in the virtual world. The user has to create a virtual password by wearing the HMD initially. The user alone will be able to identify the VR password after wearing the HMD and by providing the 3D password which was created earlier. Instead of using a password which consists of not creating a graphical pattern or typing in the password, a new Secure Authentication Mechanism (SAM) was introduced for effective and easy creation of passwords for authenticating the user using the VR technique.
LibGuides: Humanities and Arts Management: Introduction

Useful links, resources and research assistance for all Humanities and Arts Management programmes at IADT
Log-Polar Facial Recognition Using Minimum Feature Band

There is an increasing demand for biometric security systems in several fields. This study presents a highly accurate facial recognition method that uses high-speed transformation and facial morphing using region-limited log-polar transformation based on a center point calculated from the coordinates of both eyes and corners of the mouth. Log-polar transformation is limited to the region, so that the region including the feature can be suppressed to the minimum range, thereby facilitating high-speed transformation. Additionally, after facial morphing, the shapes of the eyes and mouth are altered based on the outline of the face, enabling high-precision facial recognition. The efficacy of the proposed method is verified experimentally. Therefore, we can confirm that 91.72% of images using the color FERET database and 96% of images using the FEI face database can be recognized using our method.
Automating malaria diagnosis: a machine learning approach: Erythrocyte segmentation and parasite identification in thin blood smear microscopy images using convolutional neural networks

Reliable malaria diagnosis techniques that are suitable for point-of-care testing in high burden areas, are vital for effective treatment and monitoring of the disease. Identification of malaria parasites in Giemsa stained blood slides is currently the most widely accepted technique, but its availability is limited by the need for highly trained experts to interpret the data. In this work, a two stage automated image classification strategy is proposed, to eliminate this dependency on human expertise. Blood slides that were photographed at 20 X magnification were used in our experiments, allowing for a larger Field of View than regular thin film microscopy at 100 X. Erythrocytes are first localised and segmented by a Convolutional Neural Network, the architecture of which is based on U-Net, with some adaptations and improvements made for our purposes. The sensitivity and positive predictive value of the localisation were both 0.998, resulting in accurate cell counts. A transfer learning strategy, in which the existing VGG-16 network is used as a feature extractor and combined with a new fully connected layer to predict correct activations for our classification, is then used to classify the segmented erythrocytes as either infected with Plasmodium Falciparum parasite or healthy. Sensitivity and specificity of the predicted classification were 0.795 and 0.915 respectively. It is concluded that, although this method may not fully eliminate the need for trained experts, the algorithms proposed can be of great assistance in aiding the diagnostic decision making process.
A ben vedere: forme del sacro, orme del vero. Segni, informatori, rienunciazioni nel discorso sindonologico

The paper proposes some brief notes regarding the – problematic, ambiguous – semiotic nature of the Shroud of Turin, focussing on its status of sign, the role of the rhetoric of scientific discourse in the debate about it, its remediation.