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Volume 2014, No. 1 Law Office Computing Page Puritas Springs Software Law Office Computing
Volume 2014, No. 1 Law Office Computing Page Puritas Springs Software Law Office Computing VOLUME 2014 NO. 1 $ 7 . 9 9 PURITAS SPRINGS SOFTWARE Best Home Pages We think the importance of the through which you accessed INSIDE THIS ISSUE: home page has been greatly the world wide web. Once 1-3 reduced due to the invention of tabbed browsers arrived on the tabbed browsers. Although scene it was possible to create 1,4,5 conceived a group of 4 earlier in 1988, home pages Digital Inklings 6,7 tabbed brows- with each page Child Support 8 ing didn’t go being able to Spousal Support 10 mainstream “specialize” in a Uniform DR Forms 12 until the re- specific area of lease of Micro- your interest. Family Law Documents 13 soft’s Windows Take the Probate Forms 14 Internet Ex- weather for Ohio Estate Tax 16 plorer 7 in example. Every U.S. Income Tax (1041) 18 2006. Until then, your Home good home page should have Ohio Fiduciary Tax 19 page was the sole portal a minimal weather information; (Continued on page 2) Ohio Adoption Forms 20 OH Guardianship Forms 21 OH Wrongful Death 22 Loan Amortizer 23 # More Law Office Tech Tips Advanced Techniques 24 Deed & Document Pro 25 Bankruptcy Forms 26 XX. Quick Launch. The patch the application that you’re Law Office Management 28 of little icons to the right of the working in is maximized. If OH Business Forms 30 Start button is called the Quick you’re interested, take a look Launch toolbar. Sure, you can at the sidebar on page XX of Business Dissolutions 31 put much-used shortcuts on this issue. -
Empirical Study on Media Monitoring and Internationalisation Resources
MULTISENSOR Mining and Understanding of multilinguaL contenT for Intelligent Sentiment Enriched coNtext and Social Oriented inteRpretation FP7-610411 D2.1 Empirical study on media monitoring and internationalisation resources Dissemination level: Public Contractual date of delivery: Month 6, 30 April 2014 Actual date of delivery: Month 6, 30 April 2014 Workpackage: WP2 Multilingual and multimedia content extraction Task: T2.1 Empirical study Type: Report Approval Status: Final Draft Version: 1.1 Number of pages: 172 Filename: D2.1_EmpiricalStudy_2014-04-30_v1.1.pdf Abstract This empirical study identifies the resources and the type of information that needs to be extracted in the project and their encoding types. In addition it reports information retrieval and crawling techniques that could be employed for the extraction of this information. The information in this document reflects only the author’s views and the European Community is not liable for any use that may be made of the information contained therein. The information in this document is provided as is and no guarantee or warranty is given that the information is fit for any particular purpose. The user thereof uses the information at its sole risk and liability. Page 1 Co-funded by the European Union Page 2 D2.1 – V1.1 History Version Date Reason Revised by 0.1 20/03/2014 Draft V. Aleksić (LT) 0.2 03/04/2014 Comments S. Vrochidis (CERTH), I. Arapakis (BM-Y!) 0.3 15/04/2014 Update V.Aleksić (LT) 0.4 16/04/2014 Document for internal review V.Aleksić (LT) 0.5 24/04/2014 Review A. -
Predicting Student's Attributes from Their Physiological Response to An
ISSN 2007-9737 Predicción de atributos de estudiantes a partir de su respuesta fisiológica a cursos en línea Marco A. Hernández Pérez1, Emmanuel Rosado Martínez2, Rolando Menchaca Méndez1, Ricardo Menchaca Méndez1, Mario E. Rivero Ángeles1, Víctor M. González3 1 Centro de Investigación en Computación, Instituto Politécnico Nacional, México 2 Escuela Superior de Cómputo, Instituto Politécnico Nacional, México [email protected], [email protected], {rmen, ric, erivero}@cic.ipn.mx, [email protected] Resumen. En este trabajo se presentan los resultados Predicting Student’s Attributes from de un estudio donde se monitorizó la respuesta fisiológica de un conjunto de cincuenta estudiantes de their Physiological Response to an nivel medio superior, durante su participación en un Online Course curso en línea. Por cada uno de los sujetos de prueba, se recolectaron series de tiempo obtenidas por medio de Abstract. In this work, we present the results of a study sensores de señales fisiológicas como actividad where we monitored the physiological response of a set eléctrica cerebral, ritmo cardiaco, respuesta galvánica of fifty high-school students during their participation in de la piel, temperatura corporal, entre otros. A partir de an online course. For each of the subjects, we los primeros cuatro momentos estadísticos (media, recollected time-series obtained from sensors of varianza, asimetría y curtosis) de dichas series de physiological signals such as electrical cerebral activity, tiempo, se entrenaron modelos de redes neuronales y heart rate, galvanic skin response, body temperature, máquinas de vector de soporte que demostraron ser among others. From the first four moments (mean, efectivas para determinar el sexo del sujeto de prueba, variance, skewness and kurtosis) of the time-series we el tipo de actividad que se encuentra realizando, su trained Artificial Neural Network and Support Vector estilo de aprendizaje, así como si contaban o no con Machine models that showed to be effective for conocimientos previos acerca del contenido del curso. -
IBM Haifa Leadership Seminar - Agenda
IBM Haifa Leadership Seminar - Agenda IBM Verification Seminar 2004 November 21, 2004 9:15 Arrival 12:50 Piparazzi: A Micro-architecture Approach to Functional & Performance 9:30 Welcome, Verification in Processors, David Bernstein, Mgr., Software and Eyal Bin, IBM Haifa Labs Verification Technologies, IBM Haifa Labs 13:20 Lunch 9:45 Formal Verification of Synchronizers in GALS SoCs, 14:30 Keynote: Predicate Abstraction Ran Ginosar, Head, VLSI Systems and Refinement Techniques for Verifying Research Center, Electrical Engineering Verilog, Department, Technion - Israel Institute of Ed Clarke, FORE Systems Professor of Technology Computer Science and Professor of Electrical and Computer Engineering, 10:25 A Massively Parallel Platform for Carnegie Mellon University Formal Verification: RuleBase Parallel Edition, 15:30 Break Rachel Tzoref, IBM Haifa Labs 15:45 Debugging complex FPGA 10:55 SystemVerilog: Introduction and a platforms, User Perspective, Ivo Bolsens, Vice President and Chief Johny Srouji, Engineering Manager, Intel Technology Officer, Xilinx CAD Division, Haifa 16:15 Panel: HVL vs. HDVL, 11:25 Coffee break Panelists: Coby Chanoch, Verisity; Jay Lawrence, Cadence Design Systems; 11:40 State of the Technology Industry in Kobi Pines, Marvell Technology Group; Israel... and the Future, Rob Slater, FreeScale Semiconductor, Orna Berry, Venture Partner in Gemini Israel Funds and Former Chief Scientist of 17:00 Concluding Remarks, the Israeli Ministry of Industry and Trade Michael Rodeh, Director, IBM Haifa Labs 12:20 EDA Standards: Motivation, Players, Challenges, and Achievements, Dennis Brophy, Chair, Accellera Standards Organization and Director of Strategic Business Development, Model Technology http://www.haifa.il.ibm.com/Workshops/verification2004/. -
How to Write a Scientific Report
How to Write an EEI Contents: 1. Formatting your report………………………………………………………….page 3 Grammar v Tense………………………. page 5 Data V Crap………………………………… page 5 Googling ……………………………………. page 6 Referencing………………………………… page 8 Bibliography………………………………. page 12 2. Planning your investigation…………………………………………………..page 14 Variables……………………………………… page 16 Assumptions……………………………….. page 16 Experimental Replication……………. page 17 Checklist for Experimental Design page 17 3. Writing your Report……………………………………………………………….page 17 Title ……………………………………………… page 19 Abstract ………………………………………. page 20 Introduction…………………………………. page 21 Hypothesis ………………………………….. page 22 Risk Assessment………………………….. page 23 Variables………………………………………. Page 24/25 Method…………………………………………. Page 26 Results…………………………………………. page 27 Discussion ………………………………….. page 28, 29, 30 Conclusion ………………………………….. page 31 Literature Cited / Bibliography ….. page 33 Appendices………………………………….. page 34 APPENDICIES Appendix 1 – Data Analysis Appendix 3 – Scientific Drawings Appendix 4 – Literature Reviews Appendix 5 – Example/model reports Appendix 6 – False Positive Data Analysis FORMATTING YOUR REPORT Before you start Grammar and Tense FORMATTING Data v Crap! Qualitative v Quantitative data „Googling‟ How to search online Referencing How to cite reference within your text Bibliography How to write a scientific bibliography Use past tense, third person when writing your report…. e.g. “The research into the corrosion of metals was performed to see if …..” not “We did the experiment to see if….” FORMATTING “It -
Surface Pro Et Surface Pro 2 Guide De L'utilisateur
Surface Pro et Surface Pro 2 Guide de l’utilisateur Avec Windows 8.1 Professionnel Date de publication : Octobre 2013 Version 2.0 © 2013 Microsoft. Tous droits réservés. BlueTrack Technology, ClearType, Excel, Hotmail, Internet Explorer, Microsoft, OneNote, Outlook, PowerPoint, SkyDrive, Windows, Xbox et Xbox Live sont des marques déposées de Microsoft Corporation. Surface, Skype et Wedge sont des marques commerciales de Microsoft Corporation. Bluetooth est une marque déposée de Bluetooth SIG, Inc. Dolby et le symbole double-D sont des marques déposées de Dolby Laboratories. Ce document est fourni « en l’état ». Les informations contenues dans ce document, y compris les URL et d’autres références à des sites Web Internet, sont susceptibles d’être modifiées sans préavis. © 2013 Microsoft Page ii Sommaire DECOUVREZ SURFACE PRO ............................................................................................................................................1 À PROPOS DE CE GUIDE ........................................................................................................................................................................................ 1 CARACTERISTIQUES DE SURFACE PRO ................................................................................................................................................................ 2 CONFIGURATION DE VOTRE SURFACE PRO ................................................................................................................5 BRANCHEMENT ET ALLUMAGE ............................................................................................................................................................................ -
Measuring Heart Rate Variability in Free-Living Conditions Using Consumer-Grade Photoplethysmography: Validation Study
JMIR BIOMEDICAL ENGINEERING Lam et al Original Paper Measuring Heart Rate Variability in Free-Living Conditions Using Consumer-Grade Photoplethysmography: Validation Study Emily Lam1*, BEng; Shahrose Aratia2*, BSc; Julian Wang3, MD; James Tung4, PhD 1Possibility Engineering and Research Laboratory, Bloorview Research Institute, Toronto, ON, Canada 2Department of Occupational Science and Occupational Therapy, University of Toronto, Toronto, ON, Canada 3Michael G Degroote School of Medicine, McMaster University, Hamilton, ON, Canada 4Department of Mechanical & Mechatronics Engineering, University of Waterloo, Waterloo, ON, Canada *these authors contributed equally Corresponding Author: James Tung, PhD Department of Mechanical & Mechatronics Engineering University of Waterloo 200 University Ave W Waterloo, ON, N2L 3G1 Canada Phone: 1 519 888 4567 ext 43445 Email: [email protected] Abstract Background: Heart rate variability (HRV) is used to assess cardiac health and autonomic nervous system capabilities. With the growing popularity of commercially available wearable technologies, the opportunity to unobtrusively measure HRV via photoplethysmography (PPG) is an attractive alternative to electrocardiogram (ECG), which serves as the gold standard. PPG measures blood flow within the vasculature using color intensity. However, PPG does not directly measure HRV; it measures pulse rate variability (PRV). Previous studies comparing consumer-grade PRV with HRV have demonstrated mixed results in short durations of activity under controlled conditions. Further research is required to determine the efficacy of PRV to estimate HRV under free-living conditions. Objective: This study aims to compare PRV estimates obtained from a consumer-grade PPG sensor with HRV measurements from a portable ECG during unsupervised free-living conditions, including sleep, and examine factors influencing estimation, including measurement conditions and simple editing methods to limit motion artifacts. -
A Mobile Application for Data Acquisition from Wearable Devices in Affective Computing Experiments∗
BandReader – A Mobile Application for Data Acquisition from Wearable Devices in Affective Computing Experiments∗ Krzysztof Kutt AGH University of Science and Technology [email protected] Grzegorz J. Nalepa AGH University of Science and Technology [email protected] Barbara Gizycka˙ AGH University of Science and Technology [email protected] Paweł Jemio{o AGH University of Science and Technology [email protected] Marcin Adamczyk AGH University of Science and Technology Abstract As technology becomes more ubiquitous and pervasive, special attention should be given to human-computer interaction, especially to the aspect related to the emotional states of the user. However, this approach assumes very specific mode of data collection and storage. This data is used in the affective computing experiments for human emotion recognition. In the paper we describe a new software solution for mobile devices that allows for data acquisition from wristbands. The application reads physiological signals from wristbands and supports multiple recent devices. In our work we focus on the Heart Rate (HR) and Galvanic Skin Response (GSR) readings. The recorded data is conveniently stored in CSV files, ready for further interpretation. We provide the evaluation of our application with several experiments. The results indicate that the BandReader is a reliable software for data acquisition in affective computing scenarios. I. IntroductionDRAFTeach user, mobile systems offer various meth- ods of personalization and customization of eople nowadays are getting more and these devices. However, as they become more more accustomed to technology that is and more miniature, they can be fit to pieces Ppervasive and ubiquitous. Besides using of hardware of a size of an accessory. -
The Courts' Indecipherable Approach to Encryption
WARNING—WEAK PASSWORD: THE COURTS’ INDECIPHERABLE APPROACH TO ENCRYPTION AND THE FIFTH AMENDMENT Matthew J. Weber TABLE OF CONTENTS I. Introduction ......................................................................................... 456 II. Background ......................................................................................... 458 A. The Rise of Encryption ................................................................ 458 B. What Is Encryption? .................................................................... 458 C. Encryption and Tech Companies ................................................. 459 III. Analysis ............................................................................................... 461 A. Existing Framework/Legal History ............................................. 461 1. Fisher v. United States .......................................................... 461 2. Doe v. United States .............................................................. 462 3. United States v. Hubbell ........................................................ 463 B. Applying the Existing Framework to Encryption Cases ............. 464 1. Boucher I and II ..................................................................... 465 2. United States v. Friscosu ....................................................... 468 3. United States v. Doe (In re Grand Jury Subpoena Duces Tecum Dated March 25, 2011) .............................................. 468 C. Encryption Law in the Future/Current Events ............................ -
Exploring Mood on the Web
ESSE: Exploring Mood on the Web Sara Owsley Sood and Lucy Vasserman Computer Science Department, Pomona College 185 East Sixth Street, Room 232 Claremont, CA 91711 [email protected], [email protected] Abstract Google or Yahoo! afford. Rather, it enables the user to Future machines will connect with users on an emotional browse their topically relevant search results by mood, level in addition to performing complex computations providing the user with a unique perspective on the topic at (Norman 2004). In this article, we present a system that hand. Consider a user wishing to read opinions about the adds an emotional dimension to an activity that Internet new president of the United States. Typing “President users engage in frequently, search. ESSE, which stands for Obama” into a Google search box will return (among other Emotional State Search Engine, is a web search engine that results), a few recent news stories about Obama, the goes beyond facilitating a user’s exploration of the web by Whitehouse’s website, as well as a wikipedia article about topic, as search engines such as Google or Yahoo! afford. him. Typing “President Obama” to a Google Blog Search Rather, it enables the user to browse their topically relevant box user a bit closer to their goal in that all of the results search results by mood, providing the user with a unique perspective on the topic at hand. Consider a user wishing to are indeed blogs (typically opinions) about Obama. read opinions about the new president of the United States. However, where blog search engines fall short is in Typing “President Obama” into a Google search box will providing users with a way to navigate and digest the return (among other results), a few recent news stories about vastness of the blogosphere, the incredible number of Obama, the Whitehouse’s website, as well as a wikipedia results for the query “President Obama” (approximately article about him. -
The History of Apple Inc
The History of Apple Inc. Veronica Holme-Harvey 2-4 History 12 Dale Martelli November 21st, 2018 Apple Inc is a multinational corporation that creates many different types of electronics, with a large chain of retail stores, “Apple Stores”. Their main product lines are the iPhone, iPad, and Macintosh computer. The company was founded by Steve Jobs and Steve Wozniak and was created in 1977 in Cupertino, California. Apple Inc. is one of the world’s largest and most successful companies, recently being the first US company to hit a $1 trillion value. They shaped the way computers operate and look today, and, without them, numerous computer products that we know and love today would not exist. Although Apple is an extremely successful company today, they definitely did not start off this way. They have a long and complicated history, leading up to where they are now. Steve Jobs was one of the co-founders of Apple Inc. and one of first developers of the personal computer era. He was the CEO of Apple, and is what most people think of when they think ”the Apple founder”. Besides this, however, Steve Jobs was also later the chairman and majority shareholder of Pixar, and a member of The Walt Disney Company's board of directors after Pixar was bought out, and the founder, chairman, and CEO of NeXT. Jobs was born on February 24th, 1955 in San Francisco, California. He was raised by adoptive parents in Cupertino, California, located in what is now known as the Silicon Valley, and where the Apple headquarters is still located today. -
Gestalt Manager 1
CHAPTER 1 Gestalt Manager 1 This chapter describes how you can use the Gestalt Manager and other system software facilities to investigate the operating environment. You need to know about the 1 operating environment if your application takes advantage of hardware (such as a Gestalt Manager floating-point unit) or software (such as Color QuickDraw) that is not available on all Macintosh computers. You can also use the Gestalt Manager to inform the Operating System that your software is present and to find out about other software registered with the Gestalt Manager. The Gestalt Manager is available in system software versions 6.0.4 and later. The MPW software development system and some other development environments supply code that allows you to use the Gestalt Manager on earlier system software versions; check the documentation provided with your development system. In system software versions earlier than 6.0.4, you can retrieve a limited description of the operating environment with the SysEnvirons function, also described in this chapter. You need to read this chapter if you take advantage of specific hardware or software features that may not be present on all versions of the Macintosh, or if you wish to inform other software that your software is present in the operating environment. This chapter describes how the Gestalt Manager works and then explains how you can ■ determine whether the Gestalt Manager is available ■ call the Gestalt function to investigate the operating environment ■ make information about your own hardware or software available to other applications ■ retrieve a limited description of the operating environment even if the Gestalt Manager is not available About the Gestalt Manager 1 The Macintosh family of computers includes models that use a number of different processors, some accompanied by a floating-point unit (FPU) or memory management unit (MMU).