Reviewerly/exHarmony huggingface dataset:
Effective methods to use audio visual aids for vocabulary learning in first grade students “Salomón Ibarra” elementary school during the first semester of 2010. Diploma thesis, Universidad Nacional Autónoma de Nicaragua, Managua.

The following research describe the Effective methods to use audio visual aids for vocabulary learning in first grade students “Salomon Ibarra Mayorga” Elementary school during the first semester of 2019. A qualitative design was selected for this research and two methods of data collection were used: among them is the development of a class using some of the audio visual aids that were found in our research. Class observation and also applied different class plans for evaluation and data collection very useful to complete this study. Among the main points of this investigation are the visual means that facilitate the learning of grammar, particularly flashcard, a type of source that teachers commonly use. In addition, it is important that teachers use different visual aids during the class and keep the student`s attention.
Commentary: Machine Learning With Feature Domains Elucidates Candidate Drivers of Hospital Readmission Following Spine Surgery in a Large Single-Center Patient Cohort

Commentary: Machine Learning With Feature Domains Elucidates Candidate Drivers of Hospital Readmission Following Spine Surgery in a Large Single-Center Patient Cohort Rafael De la Garza Ramos, MD, Rafael De la Garza Ramos, MD Spine Research Group, Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, New YorkDepartment of Neurological Surgery, Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, New York Search for other works by this author on: Oxford Academic Google Scholar Reza Yassari, MD, MS, FAANS, FACS Reza Yassari, MD, MS, FAANS, FACS Spine Research Group, Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, New YorkDepartment of Neurological Surgery, Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, New York Correspondence: Reza Yassari, MD, MS, FAANS, FACS, Department of Neurological Surgery, Montefiore Medical Center/Albert Einstein College of Medicine, 3316 Rochambeau Avenue, 3rd floor, Bronx, NY 10467, USA. Email: ryassari@montefiore.org Search for other works by this author on: Oxford Academic Google Scholar Neurosurgery, Volume 87, Issue 4, October 2020, Pages E511–E512, https://doi.org/10.1093/neuros/nyaa209 Published: 23 May 2020 Article history Received: 22 March 2020 Accepted: 23 March 2020 Published: 23 May 2020
INFORMATION AND COMMUNICATION TECHNOLOGIES AS A MEANS OF FORMING ECONOMIC COMPETENCE OF FUTURE VOCATIONAL TRAINING TEACHERS IN HIGHER EDUCATION INSTITUTIONS

Conference proceedings are devoted to modern global trends in the development of innovative scientific researches. General issues of the engineering, medical, psychological, philological, economic sciences, history of art, social communications and so on are considered. The publication is designed for scientists, lecturers, postgraduate students, students, as well as for the general readers. International Scientific Conference Modern Global Trends in the Development of Innovative Scientific Researches: Conference Proceedings, March 20th, 2020. Riga, Latvia: Baltija Publishing. 180 pages.
Business compliance query

Complete this form if you have questions or concerns about a business complying with social distancing measures.
Nox vs BlueStacks » Which One Performs Better for PC (2020)

When you type in Android emulator on your search bar, youd usually see the names BlueStacks and Nox leading the list. Youre probably wondering how ...
Practical applications of digital integrated circuits. Part 2: Minimization techniques, code conversion, flip-flops, and asynchronous circuits

Here, the 7400 line of transistor to transistor logic (TTL) devices is emphasized almost exclusively where hardware is concerned. However, it should be pointed out that the logic theory contained herein applies to all hardware. Binary numbers, simplification of logic circuits, code conversion circuits, basic flip-flop theory, details about series 54/7400, and asynchronous circuits are discussed.
A Tutor That's Up to the Task

With assistance from NASA s Marshall Space Flight Center, a new breed of ITS for technical training and complex problem-solving has hit the market to provide students and trainees with the decision-making skills necessary to succeed to the next level. The Task Tutor Toolkit (T3), developed by Stottler Henke Associates, Inc., of San Mateo, California, is a generic tutoring system shell and scenario authoring tool that emulates expert instructors and lowers the cost and difficulty of creating scenario-based ITS for technical training. The functionality of Stottler Henke Associates T3 far exceeds that of traditional computer-based training systems, which test factual recall and narrow skills by prompting students to answer multiple-choice or fill-inthe- blank questions. The T3, on the contrary, lets students assess situations, generate solutions, make decisions, and carry out actions in realistically complex scenarios.At the beginning of each scenario, the T3 tutoring system presents a briefing that describes the situation and the goals the students should pursue. Each scenario contains a solution template that specifies a partially-ordered sequence of action patterns that match correct sequences of student actions. During each scenario, the built-in simulator notifies the tutoring system of each student action. The T3 uses this information to evaluate the student action by comparing it with the scenario s solution template and with error rules that detect incorrect actions.
A novel robust facial expression recognition approach

At present, the method of facial expression recognition is put forward in many applications. In these applications, the responsiveness and robustness of the system is very important, especially the robustness is crucial. In this paper, a method of facial expression recognition based on robust minimax probability machine(RMPM) is proposed. By simply modifying the input data to improve the robustness of the estimation error in the mean and covariance matrix, we can ensure that the accuracy of the test set (TSA) is always greater than the low estimation bound of RMPM. Experiments show that the recognition method based on RMPM is better than that based on MPM.
LibGuides: Tech Fee at Harbor Branch: Home

Proposals for innovative technologies in support of student success are solicited every academic year. This guide will point to application resources and suggestions for submitting high quality proposals.
Hypersphere clustering to characterize healthcare providers using prescriptions and procedures from Medicare claims data.

We consider the task of producing a useful clustering of healthcare providers from their clinical action signature- their drug, procedure, and billing codes. Because high-dimensional sparse count vectors are challenging to cluster, we develop a novel autoencoder framework to address this task. Our solution creates a low-dimensional embedded representation of the high-dimensional space that preserves angular relationships and assigns examples to clusters while optimizing the quality of this clustering. Our method is able to ﬁnd a better clustering than under a two-step alternative, e.g., projected K means/medoids, where a representation is learned and then clustering is applied to the representation. We demonstrate our method's characteristics through quantitative and qualitative analysis of real and simulated data, including in several real-world healthcare case studies. Finally, we develop a tool to enhance exploratory analysis of providers based on their clinical behaviors.
The Cooperative US/Ukrainian Experiment: An Overview

In this session, Session FA1, the discussion is focuses on the following topics: History of the Cooperative US/Ukrainian Experiment (CUE); The Collaborative Ukrainian Experiment, Science Overview; Double Fertilization of Inquiring Minds, Teachers and Students Investigating Plants in Space for the Collaborative Ukrainian Experiment; and Mission Operations for the Collaborative Ukrainian Experiment.
Thinking Like a Human

Accurate Automation Corporation (AAC) of Chattanooga, TN, developed a neural network processor (NNP) for use onboard the NASA- and Air Force-sponsored LoFLYTE aircraft. The processor is modeled after connections in the brain.
LibGuides: Art and Design Subject Guide: The Research Process

This guide will take you through all you need to make the most out of the resources available to you through the library. The following pages will provide you with everything you need to know when starting out on the research process:
Videofile for Law Enforcement

Components of a videotape storage and retrieval system originally developed for NASA have been adapted as a tool for law enforcement agencies. Ampex Corp., Redwood City, Cal., built a unique system for NASA-Marshall. The first application of professional broadcast technology to computerized record-keeping, it incorporates new equipment for transporting tapes within the system. After completing the NASA system, Ampex continued development, primarily to improve image resolution. The resulting advanced system, known as the Ampex Videofile, offers advantages over microfilm for filing, storing, retrieving, and distributing large volumes of information. The system's computer stores information in digital code rather than in pictorial form. While microfilm allows visual storage of whole documents, it requires a step before usage--developing the film. With Videofile, the actual document is recorded, complete with photos and graphic material, and a picture of the document is available instantly.
LibGuides: Information Technology: Videos

This guide is for the general subject Information Technology. It contains resources available in the NCU Library.
A Method of Text Detection and Recognition from Receipt Images Based on CRAFT and CRNN

Abstract Text detection and recognition from paper bank receipts image has a lot of applications in the business field, such as in power system marketing, which is applied in verification and cancellation of electricity charges and automatic archiving. In this paper, we use a text detection method to effectively detect text area in receipt image by exploring each character and affinity between characters. Then put the text sequence into text recognizition model which is combined by DCNN and RNN and integrates feature extraction, sequence modeling and transcription. The experiments demonstrate the superiority of the proposed algorithm over the prior arts, which performs well in the task of blurred image-based bank receipt chinese text recognition.
Evaluation of Mineralogy per Geological Layers by Approximate Bayesian Computation

Summary We propose a new three-step methodology to perform an automated mineralogical inversion from wellbore logs. The approach is derived from a Bayesian linear-regression model with no prior knowledge of the mineral composition of the rock. The first step makes use of approximate Bayesian computation (ABC) for each depth sample to evaluate all the possible mineral proportions that are consistent with the measured log responses. The second step gathers these candidates for a given stratum and computes through a density-based clustering algorithm the most probable mineralogical compositions. Finally, for each stratum and for the most probable combinations, a mineralogical inversion is performed with an associated confidence estimate. The advantage of this approach is to explore all possible mineralogy hypotheses that match the wellbore data. This pipeline is tested on both synthetic and real data sets.
Error Prevention Aid

In a complex computer environment there is ample opportunity for error, a mistake by a programmer, or a software-induced undesirable side effect. In insurance, errors can cost a company heavily, so protection against inadvertent change is a must for the efficient firm. The data processing center at Transport Life Insurance Company has taken a step to guard against accidental changes by adopting a software package called EQNINT (Equations Interpreter Program). EQNINT cross checks the basic formulas in a program against the formulas that make up the major production system. EQNINT assures that formulas are coded correctly and helps catch errors before they affect the customer service or its profitability.
Apps for Good Edinburgh Celebration Event 2019

Young Entrepreneurs from schools across Scotland gathered in Edinburgh to share their problem-solving digital tech at Apps for Good’s celebratory event.
Web-Quest of Multicultural Content as a Means of Forming Information Literacy Among Primary School Children

The article deals with the need for information literacy formation among primary school children under the conditions of modern educational space.Considering this personal neoplasm as a metasubject and subject result of mastering the basic educational program of primary General education, the authors suggest using the pedagogical potential of multicultural materials during the supplementary classes of "Culture of the peoples of the Nizhny Novgorod region".Taking into account the modern requirements of the information educational environment, the Web-quest is considered as a priority technology for implementing the program.The article analyzes the possibilities of a system of various Web-quests that make it possible to form primary school students' information literacy componentts in the process of performing reproductive, problematic and creative nature tasks.The experimental research, the effectiveness of this work is confirmed by comparing the results of the ascertaining and control stages of the experiment.
Future fields of control application

Application of control theory to production engineering, transportation systems, urban development, biological oceanography, mass communications, and socio-economic problems
Daydream: Accurately Estimating the Efficacy of Performance Optimizations for DNN Training

Modern deep neural network (DNN) training uses a complex software/hardware stack used by machine learning (ML) practitioners are often heterogeneous. The efficacy of software-level optimizations can vary significantly when applied to different configurations. It is onerous and error-prone for ML practitioners and system developers to implement each optimization separately, and determine which ones will improve performance in their own configurations. Unfortunately, existing profiling tools do not aim to answer predictive questions such as “How will optimization X affect the performance of my model?”. This paper addresses this critical limitation, and proposes a new profiling tool, Daydream, to help programmers efficiently explore the efficacy of DNN optimizations. Daydream models DNN execution with a fine-grained dependency graph based on low-level traces collected by CUPTI, and predicts runtime by simulating execution based on the dependency graph. Daydream maps the low-level traces using DNN domain-specific knowledge, and introduces a set of graph-transformation primitives that can easily model a wide variety of optimizations. We show that Daydream is able to model most mainstream DNN optimization techniques, and accurately predict the efficacy of optimizations that will result in significant performance improvements.
SELF-STUDY TECHNIQUES FOR THE STUDENTS LEARNING A FOREIGN LANGUAGE: GENERAL SEARCHES FOR ADDITIONAL INFORMATION

Conference proceedings are devoted to modern global trends in the development of innovative scientific researches. General issues of the engineering, medical, psychological, philological, economic sciences, history of art, social communications and so on are considered. The publication is designed for scientists, lecturers, postgraduate students, students, as well as for the general readers. International Scientific Conference Modern Global Trends in the Development of Innovative Scientific Researches: Conference Proceedings, March 20th, 2020. Riga, Latvia: Baltija Publishing. 180 pages.
Assessing the validity of product tampering threats

Product tampering is a type of crime which typically involves the deliberate contamination of a packaged product with the intent of harming consumers or corporate entities. In such cases empty threats and genuine acts of contaminations can be used to meet criminal goals, including extortion, sabotage, and political activism. Despite the utility of both empty threats and genuine tamperings in these scenarios, different outcomes are expected which range from economic damage for the victimized company, to widespread public fear and the potential for physical harm to the consumers. This paper will provide a detailed examination of both actualized and empty product tampering threats, highlighting some of the behavioral characteristics which may be useful in separating action from inaction. Applications of these findings for professionals will also be discussed.
Transfer of perceptual adaptation to space sickness: What enhances an individual's ability to adapt?

The objectives of this project were to explore systematically the determiners of transfer of perceptual adaptation as these principles might apply to the space adaptation syndrome. The perceptual experience of an astronaut exposed to the altered gravitational forces involved in spaceflight shares much with that of the subject exposed in laboratory experiments to optically induced visual rearrangement with tilt and dynamic motion illusions such as vection; and experiences and symptoms reported by the trainee who is exposed to the compellingly realistic visual imagery of flight simulators and virtual reality systems. In both of these cases the observer is confronted with a variety of inter- and intrasensory conflicts that initially disrupt perception, as well as behavior, and also produce symptoms of motion sickness.
MODERN ACTIVE METHODS IN THE PROCESS OF FORMING STUDENTS’ ECOLOGICAL COMPETENCE

Conference proceedings are devoted to modern global trends in the development of innovative scientific researches. General issues of the engineering, medical, psychological, philological, economic sciences, history of art, social communications and so on are considered. The publication is designed for scientists, lecturers, postgraduate students, students, as well as for the general readers. International Scientific Conference Modern Global Trends in the Development of Innovative Scientific Researches: Conference Proceedings, March 20th, 2020. Riga, Latvia: Baltija Publishing. 180 pages.
Non-Markovian memory in a measurement-based quantum computer

We study the exact open system dynamics of one- and two-qubit gates during a measurement-based quantum computation considering non-Markovian environments. We obtain analytical solutions for the average gate fidelities and analyze them for amplitude damping and phase damping channels. We show, for both channels, that the average fidelity is identical for the $X$ gate and $Z$ gate and very similar for the $\ensuremath{\pi}/4$ gate when considering the amplitude damping channel. Also, we show that fast application of the projective measurements does not necessarily imply high gate fidelity nor does slow application necessarily imply low gate fidelity. Indeed, for highly non-Markovian environments, it is of utmost importance to know the best time to perform the measurements, since a huge variation in the gate fidelity may occur given this scenario. Furthermore, we show that whereas for amplitude damping the knowledge of the dissipative map is sufficient to determine the best measurement times, i.e., the best times at which measures are taken, the same is not necessarily true for phase damping. For the latter, the time of the set of measures becomes crucial since a phase error in one qubit can fix the phase error that takes place in another. Finally, we show that these peculiar results disappear if all qubits are subjected to Markovian processes.
Proceedings of the GEOS-2 Program Review Meeting. Volume 2 - Tracking system intercomparisons with GEOS-2

Satellite tracking system intercomparisons based on GEOS 2 satellite data - GEOS 2 program conference
The Ultimate Guide to Panic Hardware Installation | Great Valley Lockshop

In the world of commercial hardware, safety is always a major concern. Tragedies throughout history have taught us the importance of providing quick, ...
Temporally Adaptive-Dynamic Sparse Network for Modeling Disease Progression

Alzheimer's disease (AD) is a neurodegenerative disorder with progressive impairment of memory and cognitive functions. Sparse coding (SC) has been demonstrated to be an efficient and effective method for AD diagnosis and prognosis. However, previous SC methods usually focus on the baseline data while ignoring the consistent longitudinal features with strong sparsity pattern along the disease progression. Additionally, SC methods extract sparse features from image patches separately rather than learn with the dictionary atoms across the entire subject. To address these two concerns and comprehensively capture temporal-subject sparse features towards earlier and better discriminability of AD, we propose a novel supervised SC network termed Temporally Adaptive-Dynamic Sparse Network (TADsNet) to uncover the sequential correlation and native subject-level codes from the longitudinal brain images. Our work adaptively updates the sparse codes to impose the temporal regularized correlation and dynamically mine the dictionary atoms to make use of entire subject-level features. Experimental results on ADNI-I cohort validate the superiority of our approach.
Guides @ UF: Course Reserves for George A. Smathers Libraries: Electronic Reserves

Learn about Course Reserves and how they can contribute to your teaching and learning experiences.
My Known "Content-Security-Policy" htaccess configuration

My current Known .htaccess Content-Security-Policy is full of #IndieWeb tool urls. Header set Content-Security-Policy: default-src 'self'; frame-ancestors 'self' https://www.youtube-nocookie.com https://player.vimeo.com; base-uri 'self'; form-action 'self' https://www.brid.gy
THE PREPARATION OF THE TEACHER OF LABOUR PROTECTION TO WORK IN VOCATIONAL COLLEGES

Conference proceedings are devoted to modern global trends in the development of innovative scientific researches. General issues of the engineering, medical, psychological, philological, economic sciences, history of art, social communications and so on are considered. The publication is designed for scientists, lecturers, postgraduate students, students, as well as for the general readers. International Scientific Conference Modern Global Trends in the Development of Innovative Scientific Researches: Conference Proceedings, March 20th, 2020. Riga, Latvia: Baltija Publishing. 180 pages.
Samsung Galaxy S10 Review – Everything You Need To Know

In this Samsung Galaxy S10 review, I will tell you everything you need to know about the Samsung Galaxy S10. Samsung is one of the major smartphone ...
Fluid logic control circuit operates nutator actuator motor

Fluid logic control circuit operates a pneumatic nutator actuator motor. It has no moving parts and consists of connected fluid interaction devices. The operation of this circuit demonstrates the ability of fluid interaction devices to operate in a complex combination of series and parallel logic sequence.