Reviewerly/exHarmony huggingface dataset:
Farmed Cervid CWD Management and Response Activities (USDA)

Federal Grants & ContractsVolume 45, Issue 11 p. 6-6 Grant Alerts Farmed Cervid CWD Management and Response Activities (USDA) First published: 05 May 2021 https://doi.org/10.1002/fgc.31714Read 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 onEmailFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume45, Issue116 May 2021Pages 6-6 RelatedInformation
PLeveraging Django and Redis using Web Scraping

Web scraping is also known as data scraping and it is used for extracting data from sites. The software used for this may directly access the World Wide Web by using the Hypertext Transfer Protocol or by using a web browser. Over the years, due to advancements in web development and its technology, various frameworks have come in use and almost all of websites are dynamic with their content being served from CMS. This makes it tough to extract data since there is no common template for extracting data. Hence, we use RSS. Rich Site Summary is a kind of timeline allowing users and also applications to gain access to the updates on websites in a standardized, computer-readable format. This project combines the use of RSS to extract data from websites and serve users in a robust and easy way. The differentiation is that this project uses server side caching to serve users almost instantaneously without the need to perform data extraction from the requested site all over again. This is done using Redis and Django.
Targeting of Alteration for Prospecting of Polymetal Mineralization Using Remote Sensing in Qarah Gol Area, Meshgin Shahr, Ardabil Province

The Qarah Gol area is located in Ahar-Arasbaran zone, 50km of Meshgin Shahr, Iran.Geologically most of the area is covered by Eocene rocks, consisting of andesite to basalt, which form a major part of the rock outcrops of the area as lava with pyroclastic rocks including agglomerate, breccia and tuff with andesitic composition.The main image analysis techniques involved in this study were false color composite (FCC) and band ratios.Different RGB color combinations were examined and the 7-5-1, 5-3-1 and 7-4-2 Landsat ETM + images proved to be the best for visual interpretation.Color composite ratio images are produced by combining three ratio images in blue, green, and red.Fig. 1 shows ratios 5/7, 4/3, 3/1 in red, green, and blue, respectively.In this image the argillic alteration zone is seen as pink color and iron oxides is seen as blue color (this leads to a better discrimination between hydrothermally altered and unaltered rocks in the present area).Hydrothermal alteration involving chlorite, sericite, epidote, carbonate, silica and clay minerals are common.However phyllic, argillic and oxide iron alteration is more common in the area and is suitable for prospecting of polymetal mineralization.Fig. 6.Landsat ETM+ ratio image (bands 5/7, 4/3, 3/1 in RGB).
An exploratory study of the information security awareness of business school students in UAE

The objective of this paper is to understand the status of information security awareness among business school students in the Middle East. Based on the literature review, the authors developed a questionnaire to understand the attitude of business college students about information security. Universities and companies, especially in the Middle East, can identify the awareness level of students. This is an ongoing work and needs a better understanding of how future-leaders of business look at this serious issue. Besides universities, firms must, therefore, manage these concerns and opportunities promptly. Overall, the empirical results show that the impact of technology and awareness coefficients is insignificant while students are comfortable answering technology and fraud related issues.
K-means clustering based tone-mapping operator for high dynamic range video

The field of high dynamic range (HDR) imaging deals with capturing the luminance of a natural scene, usually varying between 10−3 to 105 cd/m2 and displaying it on digital devices with much lower dynamic range. Here, we present a novel tone mapping algorithm that is based on K-means clustering. Our algorithm takes into account the color information within a frame and using k-means clustering algorithm it builds clusters on the intensities within an image and shifts the values within each cluster to a displayable dynamic range. We also implement a scene change detection to reduce the running time of our algorithm by using the cluster information from the previous frame for frames within the same scene. To reduce the flicker effect, we proposed a new method that multiplies a leaky integer to the centroid values of our clustering results. Our algorithm runs in O( N logK + K logK ) for an image with N input luminance levels and K output levels. We also show how to extend the method to handle video input. We display that our algorithm gives comparable results to state-of-the- art tone mapping algorithms. We test our algorithm on a number of standard high dynamic range images and video sequences and provide qualitative and quantitative comparisons to a number of state-of-the-art tone mapping algorithms for videos.
A new quantitative method for simplifying complex fuzzy cognitive maps

Fuzzy cognitive map (FCM) is a qualitative soft computing approach addresses uncertain human perceptions of diverse real-world problems. The map depicts the problem in the form of problem nodes and cause-effect relationships among them. Complex problems often produce complex maps that may be difficult to understand or predict, and therefore, maps need to be simplified. Previous studies used subjectively simplification/condensation processes by grouping similar variables into one variable in a qualitative manner. This paper proposes a quantitative method for simplifying FCM. It uses the spectral clustering quantitative technique to classify/group related variables into new clusters without human intervention. Initially, improvements were added to this clustering technique to properly handle FCM matrix data. Then, the proposed method was examined by an application dataset to validate its appropriateness in FCM simplification. The results showed that the method successfully classified the dataset into meaningful clusters.
Human Action Recognition using Rule based Fuzzy Motion Feature Templates

This paper proposes a technique for human activity recognition in a video stream. To achieve high accuracy in activity recognition results, the method in its initial step deploys temporal template matching to recognize activities. As temporal templates are susceptible to get affected by speed, style and performance pattern of activity, so it becomes difficult to accurately differentiate among closely similar activities (e.g walking, running and jogging). The confusion in recognizing activities is reconciled by subsequent rule based activity distinction. The proposed method recognizes the human activities in video on various bench-marked data sets including KTH Dataset and Weizmann Dataset. Experimental results demonstrate the novelty of method with a wide spectrum of varied conditions. The average accuracy of the method is 97.20% under standard conditions.
THE FOCUS OF SKILLS IN EDUCATION AND THE DESIGN INDUSTRY

With constant technological, social and cultural changes in the design industry it is important for educational courses to teach the most relevant skills.Students are faced with the choice of specialisation in order to ensure a successful career after graduation.Which skills do students, professionals and faculty perceive to have the highest value?This study aims to help faculty and student to make informed choices.Opinions of the value of different skills are examined through personal reflection, interview and a survey of product design students, faculty and alumni working in the industry.Social skills were found to be the most valued, followed by theory and technical skills.The main divergences were that tutors, and design professionals valued presentation skills and data analysis more than students, whilst students valued 2D digital software skills and communication skills more.Digital skills were more valued than physical skills.For an academic career, or to become known in the industry, specialisation is key.For career flexibility, proficiency within a range of skills opens up a variety of choices.The increasing rarity of physical workshop skills could increase their worth with time but working digitally allows for greater freedom and the shift towards theory and methodology based service and sustainable design could lead to better thought out products and services.It is also relevant to look at the impact that a design career can have on the world and plan to have the best possible impact.
A Survey Paper on Data Transfer via Multimedia With Steganography Methodologies 

Many types of multimedia can be used to conduct pervasive communication like advertisements, posters, videos on TVs, audios, images etc. In this paper basically focuses on the security system based on the Digital Image processing techniques. We can detect and categorize an image feature using the Image Preprocessing Techniques. This paper explains a way to process a Message can be embedded in such images and extracted by a display-and-imaging fashion using smart phones. After applying basic image preprocessing techniques, the image will be again processed with algorithm for Signal-rich-art-image to extract certain kinds of secret information from the target image and infer the contents of an image. The extracted features data then compared with target data and that features are stored in standard database and can be classified. A message synchronization mechanism is also proposed to guarantee correct message extraction is also proposed.
Fellows Escap-ED: A Novel Amalgam of Gamification and Simulation

ATS AbstractRationale:Gamification in medical education is not an alien concept, there are quiz-formats such as medical jeopardy.Additionally, medical training programs utilize various simulation-based learning modules to engage trainees in real-life patient scenarios.We sought to combine simulation-based learning and concept of gamification to assess medical knowledge and cooperative learning among our first year pulmonary and critical care medicine fellows.Methods:We tested four domains: clinical knowledge, procedural skills, research/statistic, and miscellaneous practical skills pertinent to first year of pulmonary and critical care fellowship training.A clinical case-based scenario with high yield questions was developed over eight weeks.A two-hour trial run with senior fellows was performed two weeks in advance to time the organization of escape room and identify any potential equipment or design flaws.Three first-year fellows were provided educational material to review prior to the activity including briefing on the patient scenario.Participants were to gather clues in the escape room that would assist them in reaching the diagnosis and escape in 60 minutes.The simulated patient was a high-fidelity mannequin.The simulation center staff operated the mannequin and displayed time and clues on the monitors inside the escape room.Our simulated patient had drug-induced diffuse alveolar hemorrhage complicated by acute respiratory distress syndrome.Some of the tasks which either served as clues or led the team to a clue included: Identifying communication barrier (Noise),Asking for additional support (Code Blue),Identifying/filing a safety event report (Bed rails down),Determining severity of illness (Calculate P/F ratio),Managing ventilator maneuver/measurement (Static compliance), Assessing the literature (calculate Number Needed to Treat),Identifying the cause of acute respiratory deterioration (Cuff leak),Activating procedure specific management algorithm (Airway checklist),Performing an endotracheal tube exchange (Dexterity),Assembling a bronchoscope (Dexterity),Identifying anatomical structures (Fill out tracheobronchial tree diagram),Confirming the cause of the respiratory failure (Data synthesis) Results: All fellows found the activity an excellent tool to improve team building skills.Data analysis showed that fellows identified promotive interaction and group processing as areas needing most improvement on a 4-point Likert scale.(Graph 1) Conclusion:An escape room themed simulation is a novel concept in medical education and has an advantage that it can be customized to varying levels of difficulty based on the year of clinical training.We aim to replicate this activity with the fellows at the beginning of their second academic year to assess progression of team building skills.
Fűszegélynyíró rezgésvizsgálata

This paper explores the possible sources of vibration in a strimmer. Within this, the linear vibrational finite element equations of a strimmer line as a taut string are discussed in detail. The vortex detachments of the high-speed strimmer line are examined using the Strouhal number and the vibrational formula. The other vibration sources of the device are analysed by measurements. An optical method is used to determine the revolution per minute. The displacement-time curve is measured with a laser triangulation device, which is analysed by Fast Fourier Transform.
Introduction to Python

I welcome you all to the exciting journey of learning data visualization with Python 3. This chapter provides details to get you started with the Python programming language, including its history, features, and applications. This chapter is focused on general information about Python 3 and its installation on various popular operating system (OS) platforms, such as Microsoft Windows, Ubuntu, and Raspberry Pi Raspbian. We will be writing a few basic Python programs and learn how to execute them on various platforms. Here is the list of topics that we will cover in this chapter.
PENGELOLAAN ADMINISTRASI SEKOLAH DI RA AR-RAFIF TIRTOMARTANI SLEMAN

This study discusses how to manage an administrative school in RA Arrafif Tirtomartani Kalasan Sleman, the next method used in this study is a qualitative study describing how to manage an administration school in RA Arrafif Tirtomartani Kalasan Sleman. Data collection techniques used in this study are observation, interviews and documentation, then data analysis in this study uses miles and huberman data analysis using data reduction, data presentation and drawing conclusions. Based on data collection and analysis conducted on research findings on school administration management in RA Arrafif Tirtomartani Kalasan Sleman, while the results of this study include seven school administrations that manage well such as 1) school administration, 2) class administration, 3) student administration, 4) financial administration, 5) headmaster administration, 6) staffing administration, 7) administration of inventory, but there are some things that still lack.
Handwritten Digit Recognition by using Pattern Recognition &amp; Consensus Clustering

In Big Data, Pattern Recognition and Consensus Clustering procedures have developing significance to the scholastic and expert networks. Today there is an extraordinary worry for ordering the information, as information in wrong classification implies incorrect data, which thus results wastage of resources and hurting the association. Example acknowledgment (PR) helps in maintaining a strategic distance from poor order of information by recognizing the right structure of information in dataset. Perceiving an example is the computerized procedure of finding the specific match and regularities of information, which is firmly identified with Artificial Intelligence and Machine Learning. PR goes about as an essential advance to give bunching since it examinations the structure and vector estimation of every character in dataset. Accord Clustering (CC) additionally called as bunching gatherings, assumes a critical job in arranging and keep up in any sort of information. This is a strategy that joins different bunching answers forget steady, precise and novel outcomes. Right now, actualize PR and CC strategies; we use MNIST dataset which is an enormous database of transcribed digits that is regularly utilized for preparing different frameworks in the field of Machine Learning.
Exploring Relationships Between Two Variables

Using numerous examples with real data, this textbook closely integrates the learning of statistics with the learning of R. It is suitable for introductory-level learners, allows for curriculum flexibility, and includes, as an online resource, R-code script files for all examples and figures included in each chapter, for students to learn from and adapt and use in their future data analytic work. Other unique features created specifically for this textbook include an online R tutorial that introduces readers to data frames and other basic elements of the R architecture, and a CRAN library of datasets and functions that is used throughout the book. Essential topics often overlooked in other introductory texts, such as data management, are covered. The textbook includes online solutions to all end-of-chapter exercises and PowerPoint slides for all chapters as additional resources, and is suitable for those who do not have a strong background in mathematics.
Prediksi Tingkat Penerimaan Lulusan Siswa Kejuruan dalam Dunia Usaha dan Industri Menggunakan Metode Monte Carlo

Vocational High School (SMK) Negeri 4 Kota Jambi is one of the favorite vocational schools in Jambi City which is also the only pure tourism vocational school in Jambi Province. SMK Negeri 4 Kota Jambi has several vocational majors, namely culinary, beauty, fashion and hospitality. In general, students who choose to attend vocational schools have the hope of being able to work immediately after graduating from school, they do not need to continue to study to be able to work. In this study, researchers will predict the level of acceptance of students from SMK Negeri 4 Kota Jambi in the business and industrial world using the Monte Carlo method. Monte Carlo is a method that can find values ​​that are close to the actual value of events that will occur based on the distribution of sampling data. The technique of this method is to select random numbers from the probability distribution to perform the simulation. The data used in this study is the data of students from SMK Negeri 4 Kota Jambi who worked from the 2015/2016 Academic Year to the 2018/2019 Academic Year. Furthermore, the data will be processed using the Monte Carlo method. The simulation will be implemented using PHP programming. The result of this research is the level of prediction accuracy of students of SMK Negeri 4 Kota Jambi who are accepted in the business and industrial world using the Monte Carlo method is 84%.
Upaya Peningkatan Kemampuan Pemahaman Konsep Mahasiswa pada Mata Kuliah Sistem Digital

The purpose of this study is to examine and examine whether the use of modules in digital systems courses can improve students' understanding of concept skills. The population in this study was R2X class students who took digital systems courses in the even semester of the 2018/2019 school year at the Unindra Informatics study program. This research is in the form of classroom action research in two cycles to improve students' understanding of concept skills in digital systems courses using modules. Each cycle goes through stages: 1) Planning, 2) Implementation of actions, 3) Evaluation, 4) Reflection. The instruments in this study were observation sheets and student exercises. Observation results show that the use of modules in lectures can facilitate students in increasing their conceptual understanding abilities. The curves of each activity indicator to facilitate students in improving conceptual abilities are always rising. While the average results of understanding students' concepts increase each cycle of action.
Return prediction with time varying betas: a research in BIST

In the present study, dynamic versions of beta, which is the risk measure of investment instruments, have been employed to predict daily return of 30 random portfolios made of 154 stocks transacted in BIST ALL between dates 02.01.2003 and 29.08.2013.BIST 100 Index has been employed as the market portfolio.The predictions have been made with rolling regression and MGARCH methods.The performance of return predictions of dynamic betas has been compared to the performance of return predictions of traditional beta.Dynamic betas have been estimated with rolling regression, MGARCH DVECH, MGARCH DBEKK, MGARCH CCC and MGARCH DCC.In the study, it has been identified that the return prediction made with dynamic betas performed better than the predictions made with traditional beta.However, the return predictions made with CCC betas have been superior to other dynamic betas in terms of beating the performance of traditional beta.
Utilization of Testimonials Menu as Submission Media Information on Buyer Satisfaction on the Website E-Commerce Raharja Internet Café

Raharja Internet Cafe is a facility at Raharja College, which provides various needs for Raharja's private lecture activities. Raharja Internet Cafe is used to help lecture activities by facilitating students such as computers, printers and scanners. Also helps students to install or service iPad. However, sometimes the facilities available at Raharja Internet Cafe are still experiencing problems so students are less interested in visiting Raharja Internet Cafe. This study uses 2 (two) methods, namely the literature review method and questionnaire. As a result, to make it easier for sellers and buyers to know the quality of services provided by Raharja Internet Cafe to Pribadi Raharja, Raharja Internet Cafe's website is used by adding testimonials menus. In the testimonials menu, there are many testimonials that have been given by Raharja Internet Cafe users. And the results obtained from the research conducted are that Raharja Internet Cafe is very helpful in lecturing activities
On the Differences in Prosodic Features of Assamese Speech Based on Types of Emotions

Speech is a vocal communication through which we achieve the information about speaker, language, message etc. Speaking is the process of converting discrete phonemes into continuous acoustic signal. Speech carries linguistic information that is associated with emotions, along with vocal information, which can be extracted by speech processing methods. In this paper, we basically analyse on prosodic features of different emotional speech in Assamese language for identify the comparison between male and female speakers who linguistically react differently in the same situations. We also apply statistical paired t-Test on prosodic features for showing the significant difference between male and female speech in different emotions.