Most Popular Books by Terry Griffin

The Art of LEGO MINDSTORMS NXT-G Programmingteaches you how to create powerful programs using the LEGO MINDSTORMS NXT programming language, NXT-G. You''ll learn how to program a basic robot to perform tasks such as line following, maze navigation, and object detection and how to combine programming elements (known as blocks) to create sophisticated programs. Author Terry Griffin covers essential functions like movement, sensors, and sound as well as more complex NXT-G features like synchronizing multiple operations. Because it''s common for programs to not work quite right the first time they are run, a section of the book is dedicated to troubleshooting common problems including timing, sensor calibration, and proper debugging. Throughout the book, you''ll learn best practices to help eliminate frustration when programming your robotic creations. This book is perfect for anyone with little to no previous programming experience who wants to master the art of NXT-G programming.

With its colorful, block-based interface, The LEGO® MINDSTORMS® EV3 programming language is designed to allow anyone to program intelligent robots, but its powerful features can be intimidating at first. The Art of LEGO MINDSTORMS EV3 Programming is a full-color, beginner-friendly guide designed to bridge that gap. Inside, you’ll discover how to combine core EV3 elements like blocks, data wires, files, and variables to create sophisticated programs. You’ll also learn good programming practices, memory management, and helpful debugging strategies—general skills that will be relevant to programming in any language. All of the book’s programs work with one general-purpose test robot that you’ll build early on. As you follow along, you’ll program your robot to: –React to different environments and respond to commands –Follow a wall to navigate a maze –Display drawings that you input with dials, sensors, and data wires on the EV3 screen –Play a Simon Says–style game that uses arrays to save your high score –Follow a line using a PID-type controller like the ones in real industrial systems The Art of LEGO MINDSTORMS EV3 Programming covers both the Home and Education Editions of the EV3 set, making it perfect for kids, parents, and teachers alike. Whether your robotics lab is the living room or the classroom, this is the complete guide to EV3 programming that you’ve been waiting for. Requirements: One LEGO MINDSTORMS EV3 Home OR Education set (#31313 OR #45544).

Many regulatory and professional agencies countenance the idea of patient-and family-centered care, yet lack an infrastructure able to support such care or employ health care professionals who lack the necessary education, experience, or skills. This book is a comprehensive guide to family-centered care for healthy, ill, or preterm newborns. It guides health care professionals in creating, supporting, and advancing a culture that values partnerships with families. The book is replete with practical suggestions, strategies for effectively communicating with families, and best practices for health professionals who wish to develop partnerships with families before and after childbirth. At the core of family-centered care is the belief that family-centered care and the ability to convey its particular language is as important to newborn and family wellbeing as clinical care. The book is based on four guiding principles that include treating people with dignity and respect, providing information in ways that are useful and affirming, welcoming family participation in care and decision-making at a level chosen by the family, and collaborating with families at the bedside and beyond. The book offers strategies to promote implementation of a family-centered environment in the delivery room or NICU, practical approaches to communicating with families before and after delivery, and tips on policy review to facilitate a culture of family-centered care. It also discusses how to welcome families during interdisciplinary rounds and nurse hand-offs, and ways to support families during procedures and resuscitation. Key Features: Provides a comprehensive guide to implementing family-centered care for healthy, ill, and preterm newborns Guides health care professionals in creating, supporting, and advancing a culture that values partnerships with families Offers strategies for effectively communicating with families to foster family-centered care Reflects on the power of language used with and about families Includes tips on policy review to foster and support a culture of family-centered care

LEGO MINDSTORMS EV3程式設計的完整學習指引 憑藉其豐富、多彩及以模組(Block)為基礎的介面，LEGO MINDSTORMS EV3編程語言的設計讓任何人都能為智慧型機器人編寫程式，但它強大的功能可能會讓初次接觸的人感到有些許的壓力，《樂高機器人MINDSTORMS EV3程式設計》採用對初學者友好的編排設計，導引讀者消弭這樣的心理障礙。 在本書中，讀者會學習如何結合類似元件般的核心EV3模組、數據線、檔案和變數等基本元素，來完成複雜程式的製作。也會學習到良好的編程作業習慣、記憶體管理及實用的除錯方法，這些都是與任何編程語言共同且必備的關聯性技術。 本書內所提供的程式範例，都能與讀者所製作的一般功能測試機器人配合使用，接著按照書上的說明學習機器人的編程作業，即可完成以下任務： ‧對不同周遭環境的反應及對不同命令的回應 ‧順著牆壁行進，完成迷宮的導航 ‧在EV3螢幕上顯示利用撥盤、感測器和數據線所輸入的內容 ‧玩玩類似老師說的遊戲，利用陣列來儲存你所得的高積分 ‧使用PID控制器，像真正的產業用系統一樣追踪路徑行進 《樂高機器人MINDSTORMS EV3程式設計》涵蓋EV3套件的家用版與教育版兩種版本，使得它能得到孩童、家長和老師一致的好評。無論你的機器人實驗室是在客廳裡或教室裡，這會是你夢寐以求的一本完整EV3編程指南手冊。 #碁峰資訊 GOTOP Information Inc.

Mit ihrer intuitiv zu bedienenden Oberfläche ermöglicht es die Programmiersprache LEGO MINDSTORMS EV3 jedem, intelligente Roboter zu programmieren. Die große Anzahl an anspruchsvollen Funktionen kann jedoch auf den ersten Blick einschüchternd wirken. Um diese Hemmschwelle zu überwinden, gibt es jetzt dieses Buch - eine farbige Anleitung, die auch für Leser ohne Vorkenntnisse geeignet ist. Hier erfährst du, wie du die EV3-Hauptelemente wie Blöcke, Datenleitungen, Dateien und Variablen zusammenstellst, um ausgeklügelte Programme zu schreiben. Du lernst auch gute Programmierpraktiken, Möglichkeiten zur Speicherverwaltung und nützliche Vorgehensweisen für die Fehlersuche kennen - grundlegende Fähigkeiten, die auch für die Programmierung in anderen Sprachen unverzichtbar sind. Alle in diesem Buch vorgestellten Programme laufen auf einem Allzweck-Roboter, den du ganz am Anfang bauen wirst. Im weiteren Verlauf programmierst du den Roboter dann für die verschiedensten Anwendungen: • Auf unterschiedliche Umgebungseinflüsse und auf Befehle reagieren • Einer Wand folgen, um aus einem Labyrinth herauszufinden • Über Drehregler, Sensoren und Datenleitungen Zeichnungen erstellen und auf dem EV3-Bildschirm anzeigen • Ein Gedächtnisspiel, bei dem Arrays und Dateien zum Einsatz kommen, um eine Aufgabe zu stellen und den Punktestand zu speichern • Einer Linie mit einem PID-Regler folgen, wie er auch in echten Industrierobotern verwendet wird Das Buch behandelt sowohl die normale Einzelhandels- als auch die Education-Ausgabe des EV3-Kastens und ist damit ideal für Kinder, Eltern und Lehrer geeignet. Ob du dein Roboterlabor im Wohnzimmer oder im Klassenraum aufbaust - dies ist der umfassende Leitfaden zur EV3-Programmierung, den du schon immer haben wolltest. Dieses Buch ist von der LEGO-Gruppe weder unterstützt noch autorisiert worden.

The MznLnx Exam Prep series is designed to help you pass your exams. Editors at MznLnx review your textbooks and then prepare these practice exams to help you master the textbook material. Unlike study guides, workbooks, and practice tests provided by the texbook publisher and textbook authors, MznLnx gives you all of the material in each chapter in exam form, not just samples, so you can be sure to nail your exam.

Farmers'' ability to “own” data has been debated, along with its value and consequences of misappropriation. Although no specific law or precedent addresses farm data, it may be protectable as a “trade secret” if farmers actively protect it. Questions remain if seeking protection is practical or if highest value may be realized by sharing data.

Peanut farmers'' acreage allocation and equipment management decisions remain heavily dependent upon weather uncertainty. The number of days suitable for fieldwork (DSFW) were evaluated during key production times for 11 peanut-producing states. The objectives of this analysis were to define most active dates for peanut planting and harvest field activities, to estimate DSFW occurring within the most active date ranges for each peanut producing state, and to analyze these DSFW data for trends over time. Crop progress data reflects when producers are most likely to engage in field work not necessarily the most agronomically advantageous time. Weekly USDA NASS data from 1995 to 2018 for planting and from 1995 to 2017 for harvest were analyzed to develop a probability distribution. Comparing the middle of the distribution, the 50th percentile, shows that North Carolina had the fewest days available for planting (16.4 days) while Arkansas has the most days for planting (34.0 days). Georgia, for comparison, had 23.0 days for planting. For harvest at the 50th percentile, Arkansas has one of the fewest days available for harvest (23.0 days) and South Carolina has the most available (40.0 days). Georgia had 34.0 days available for harvest. These results are useful for farmers, practitioners, and researchers for decision making including determining the number of acres that can be planted and/or harvested in a given year based on weather risk. Sizing equipment to complete field work only for the maximum DSFW leaves no contingency for poor field conditions or equipment failure. These results are important for farm decision makers to make machinery selection and acreage allocation decisions. As an added benefit of this paper, the R programming code used to access and develop graphs have been made available for readers to use in their own research.

Precision technologies have been available at the farm level for decades. However, the rate at which adoption occurs varies. Some technologies have been readily adopted while others lagged. Analysis of 608 Kansas farms provided insights regarding duration of adoption. The lag, in years, between technologies becoming commercially available and adopted were evaluated using non-parametric duration analysis. Duration for embodied-knowledge technologies were statistically sooner than for information-intensive technologies, indicating farmers adopt automated guidance ''quicker'' than yield monitors. Duration was indirectly (directly) proportional to commercialization date of embodied-knowledge (information-intensive) technology. Results are useful to farmers considering adoption, retailers targeting customers, and manufacturers managing supply chains.

Farmers may be interested in claiming remedies after farm data are misappropriated. Expert witnesses must valuate farm data within the farmgate and aggregated as a community for each player before estimating damages. Estimated actual damages, unjust enrichment, and reasonable royalty are presented from farmers'' perspective and misappropriating defendant rebuttal.

The use of herbicide weed control has been an integral part of farm management for several decades due to being an efficient and cost-effective alternative to mechanical weed control management. However, repeated use of broad spectrum herbicides has resulted in herbicide resistance in several weed species (Norsworthy et al., 2012). Although the indiscriminate use of herbicides has been linked to the quick and widespread adoption of herbicide resistant crop species (Fernandez-Cornejo et al., 2014), research indicates that herbicide resistance predated the introduction of bio-tech crops by several decades (WSSA, 2016). By the time that USDA began tracking the adoption of biotech soybean production in 2000, over half of US acreage were planted to herbicide-tolerant varieties and reached over 90% within 7 years (USDA NASS) (Figure 1). By 2013, 90% of corn and soybean acreage were planted to bio-tech cultivars including herbicide-tolerate only and stacked genes (Figure 1). Currently, 470 unique cases of herbicide resistance have been documented (Heap, 2016). Multiple herbicide-resistant weed species causes additional concern due to reduced herbicide options and increased weed control costs. Multiple herbicide resistance has been confirmed in economically important weeds including Palmer amaranth (Amaranthus palmeri) (Nandula et al. 2012), waterhemp (Amaranthus tuberculatus Sauer) (Bell et al., 2013), horseweed (Conyza canadensis L. Cronq.) (Davis et al. 2009), rigid ryegrass (Lolium rigidum Gaudim) (Owen et al. 2014), and kochia (Kochia scoparia (L.) Schrad.) (Foes et al. 1999) (see Heap, 2016, for more details on herbicide resistance weeds).

"Teaching employability communication skills to adult migrants"--Provided by publisher.

This document serves to share our techniques for managing the analysis of site-specific precision agriculture data for the purposes of analyzing field-scale on-farm trial experiments. The content of this document is the culmination of over a decade of on-farm trial and spatial analysis experience which continually expands. Working with precision agriculture data can be very frustrating even for those versed in GIS and programming. This protocol was written to assist other analysts of precision agriculture data to be able to follow our steps in an effort to reduce their frustration by making available techniques that have worked for us.

Judeo-Christian beliefs and tradition include observing a Sabbath, or day of rest, by abstaining from work one day each week. In modern times, followers of the Jewish faith mark the Sabbath from Friday evening to Saturday evening and Christians do so on Sunday. For both groups, this practice is firmly entrenched to the point that many would contend that working on Sunday is morally wrong. For many Christian workers in the United States, this practice often fits with their work schedule as Saturday and Sunday are typical days off for many schools, government organizations, and businesses. There are exceptions to this and farmers are one of the most obvious. The demands of managing a farm do not conform to uniform weekly work schedules. To meet labor requirements, many American family farms rely upon unpaid family labor to perform farm tasks such as conducting field operations. Reliance on unpaid labor is becoming more prevalent due to lack of available unskilled laborers in many locations in the United States.