zilongwang/ReadingBank huggingface dataset:
The NIST Big Data Interoperability Framework will be released in three versions, which correspond to the three stages of the NBD-PWG work. The three stages aim to achieve the following with respect to the NBDRA: Identify the common reference architecture components of Big Data implementations and formulate the technology-independent NBDRA Define general interfaces between the NBDRA components Validate the NBDRA by building Big Data general applications through the general interfaces This document (Version 1) presents the overall NBDRA components and fabrics with high-level description and functionalities. Version 2 activities will focus on the definition of general interfaces between the NBDRA components by performing the following: Select use cases from the 62 (51 general and 11 security and privacy) submitted use cases or other, to be identified, meaningful use cases Work with domain experts to identify workflow and interactions among the NBDRA components and fabrics Explore and model these interactions within a small scale, manageable, and well-defined confined environment Aggregate the common data workflow and interactions between NBDRA components and fabrics and package them into general interfaces Version 3 activities will focus on validation of the NBDRA through the use of the defined NBDRA general interfaces to build general Big Data applications. The validation strategy will include the following: Implement the same set of use cases used in Version 2 by using the defined general interfaces Identify and implement a few new use cases outside the Version 2 scenarios Enhance general NBDRA interfaces through lessons learned from the implementations in Version 3 activities The general interfaces developed during Version 2 activities will offer a starting point for further refinement by any interested parties and is not intended to be a definitive solution to address all implementation needs.
Appendix E: Resources and References The following resources provide additional information related to Big Data architecture. [1] Office of the White House Press Secretary, “Obama Administration Unveils “Big Data” Initiative”, White House Press Release (29 March 2012) [2] White House, “Big Data Across The Federal Government”, 29 March 2012, [3] National Institute of Standards and Technology [NIST], Big Data Workshop, 13 June 2012, [4] NIST, Big Data Public Working Group, 26 June 2013, [5] National Science Foundation, “Big Data R&D Initiative”, June 2012, [6] Gartner, “3D Data Management: Controlling Data Volume, Velocity, and Variety”, [7] Gartner, “The Importance of 'Big Data': A Definition”, [8] Hilbert, Martin and Lopez, Priscilla, “The World’s Technological Capacity to Store, Communicate, and Compute Information”, Science, 01 April 2011 [9] U.S. Department of Defense, “Reference Architecture Description”, June 2010, [10] Rechtin, Eberhardt, “The Art of Systems Architecting”, CRC Press; 3rd edition, 06 January 2009 [11] ISO/IEC/IEEE 42010 Systems and software engineering — Architecture description, 24 November 2011,
NIST Big Data Public Working Group (NBD-PWG) NBD-PWD-2015/M0469 Source: NBD-PWG Status: Draft Title: NBD-PWG Meeting Agenda for Nov. 17, 2015 Author: NBD-PWG Subgroup Co-Chairs Meeting logistics Date/time: Nov. 17, 1:00PM – 3:00PM EDT Web conferencing tool: Audio: Use your microphone and speakers (VoIP) - a headset is recommended, or, call in using your telephone (US, long distance): +1 (646) 749-3122, access code/meeting ID: 790-820-565 Agenda Joint meeting status between NIST NBD-PWG, CPS-PWG, IOT, Global Cities, and Cloud status More updates Sample of white papers for best practices (Need to come up with a general template to customize our needs – based on our NBD Reference Architecture) Cognitive Intelligence for Big Data – William Miller Use case status report: UC#6: Data Warehouse and Data Mining – Korin Reid UC#4: Big data Analytics for Healthcare – Ian Gorton from his students Others… Review contributions N0459 – SP1500-1 High Level Summary and Comments ARR 20151101 N0460 – M0392_v1_3022325181 SP1500-1 ARR Annotated in Yellow N0462 – Hadoop 6 dataset project outline, Russell N0466 – Use_case_6.a_DW_w_HBase, Russell N0467 – Use_case_6.b_mining_w_Weka, Russell N0468 – Hadoop_hardware,_software,_distributions_draft, Russell Others ??
ADDENDUM TO MEMORANDUM NO. 051-16M TI/LAP&CPR Page 3 October 12, 2016 Application Deadline Applications are due no later than October 28 ((November 7)). Selection of award recipients by a committee at OSPI will take place by November 7 ((November 14)). Timeline Completed applications must be received by OSPI no later than October 28 ((November 7)). Faxes and emails are not permitted. Send applications to: Larry Fazzari, Program Supervisor Title I, Part A/LAP and Consolidated Program Review PO Box 47200 Olympia, WA 98504-7200 If you have any questions regarding this memorandum, please contact Larry Fazzari at 360-725-6189, or email . The agency TTY number is 360-664-3631. This memorandum is also available on OSPI’s website at: http://www.k12.wa.us/BulletinsMemos/memoranda2016.aspx. K–12 EDUCATION Gil Mendoza, Ed.D. Deputy Superintendent SPECIAL PROGRAMS AND FEDERAL ACCOUNTABILITY Gayle Pauley Assistant Superintendent Paula Moore, Director Title I/LAP and CPR RD:lf:jc Attachment A: 2016–17 Title I, Part A Academic Achievement Award Program Application OSPI provides equal access to all programs and services without discrimination based on sex, race, creed, religion, color, national origin, age, honorably discharged veteran or military status, sexual orientation, gender identity, disability, or the use of a trained dog guide or service animal by a person with a disability. Questions and complaints of alleged discrimination should be directed to the Equity and Civil Rights Director at 360-725-6162/TTY 360-664-3631; or P.O. Box 47200 Olympia, WA 98504-7200; or .
Reference 1 Name of contact: Company Name: Street Address: Address: Town/City: Post Code: Country: Telephone No: E-mail: Reference 2 Name of contact: Company Name: Street Address: Address: Town/City: Post Code: Country: Telephone No: E-mail: Reference 3 Name of contact: Company Name: Street Address: Address: Town/City: Post Code: Country: Telephone No: E-mail: Section 15: Signature I declare the information provided within this questionnaire to be accurate and true.
Cavan: Data ownership: what and who allows access… Tim - shared his outline doc submitted to reflector(?) 2-16: Governance Provenance Curation. Sourced Morningstar. Mark suggests [pillar] section #6 is probably the most important. Next / action item for group - Take contributions on relationship to previous work by NARA, maybe something from Quyen Quyen: work with Russell’s feedback for Vol. 6 Section 5 on Big Data Lifecycle Rose/MITRE team – share thoughts/outline specific contribution Governance – architecture view (from velocity, volume, etc.); big data inside/outside ??, Rose Section Scope: Should this section be included here or left to the technical report.
Interoperability Framework: Volume 1, Definitions. Note that the data hierarchy only expresses the broad overview of data at different levels of granularity to highlight the properties that drive the need for Big Data architectures. Section 4 is concerned with the relationships to other taxonomies related to big data, including for example cloud, high performance computing and internet of things. For descriptions of the future of Big Data and opportunities to use Big Data technologies, the reader is referred to the NIST Big Data Interoperability Framework: Volume 7, Standards Roadmap. Finally, to understand how these systems are organized and integrated to meet users’ needs, the reader is referred to NIST Big Data Interoperability Framework: Volume 3, Use Cases and General Requirements. This section will be written when the document content is near finalization.
Non-relational models, frequently referred to as NoSQL, refer to logical data models that do not follow relational algebra for the storage and manipulation of data. Resource negotiation consists of built-in data management capabilities that provide the necessary support functions, such as operations management, workflow integration, security, governance, support for additional processing models, and controls for multi-tenant environments, providing higher availability and lower latency applications. Reusability is the ability to apply tools from one domain to another. Shema on read is the application of a data schema through preparation steps such as transformations, cleansing, and integration at the time the data is read from the database. Shared-disk file systems, such as storage area networks (SANs) and network-attached storage (NAS), use a single storage pool, which is accessed from multiple computing resources. Small Data refers to the limits in the size of datasets that analysts can fully evaluate and understand. SQL is the SQL query language standard used to query relational databases. Structured data is data that has a pre-defined data model or is organized in a pre-defined way. Unstructured data is data that does not have a pre-defined data model or is not organized in a pre-defined way. Validity refers to appropriateness of the data for its intended use. Value refers to the inherent wealth, economic and social, embedded in any dataset. Variability refers to changes in dataset, whether data flow rate, format/structure, semantics, and/or quality that impact the analytics application. Variety refers to data from multiple repositories, domains, or types. Velocity refers to the rate of data flow. Veracity refers to the accuracy of the data. A Vertical Data Scientist is a subject matter expert in specific disciplines involved in the overall data science process. Vertical scaling is increasing the performance of data processing through improvements to processors, memory, storage, or connectivity. Volatility refers to the tendency for data structures to change over time. Volume refers to the size of the dataset.
Natasha Balac University of California, San Diego, Supercomputer Center Chaitan Baru University of California, San Diego, Supercomputer Center Deborah Blackstock MITRE Corporation Pw Carey Compliance Partners, LLC Wo Chang National Institute of Standards and Technology Yuri Demchenko University of Amsterdam Nancy Grady SAIC Karen Guertler Consultant Christine Hawkinson U.S. Bureau of Land Management Pavithra Kenjige PK Technologies Orit Levin Microsoft Eugene Luster U.S. Defense Information Systems Agency/R2AD LLC Bill Mandrick Data Tactics Robert Marcus ET-Strategies Gary Mazzaferro AlloyCloud, Inc. William Miller MaCT USA Sanjay Mishra Verizon Rod Peterson U.S. Department of Veterans Affairs Russell Reinsch Center for Government Interoperability John Rogers HP William Vorhies Predictive Modeling LLC Mark Underwood Krypton Brothers; Synchrony Financial Alicia Zuniga-Alvarado Consultant
Departments of Agriculture, Commerce, Defense, Energy, Census, Health and Human Services, Homeland Security, Transportation, Treasury, and Veterans Affairs. NIST would like to acknowledge the specific contributions to this volume, during Version 1 and/or Version 2 activities, by the following NBD-PWG members: Chaitan Baru University of California, San Diego, Supercomputer Center Janis Beach Information Management Services, Inc. David Boyd InCadence Strategic Solutions Scott Brim Internet2 Gregg Brown Microsoft Carl Buffington Vistronix Yuri Demchenko University of Amsterdam Jill Gemmill Clemson University Nancy Grady SAIC Ronald Hale ISACA Keith Hare JCC Consulting, Inc. Richard Jones The Joseki Group LLC Pavithra Kenjige PK Technologies James Kobielus IBM Donald Krapohl Augmented Intelligence Orit Levin Microsoft Eugene Luster DISA/R2AD Serge Manning Huawei USA Robert Marcus ET-Strategies Gary Mazzaferro AlloyCloud, Inc. Shawn Miller U.S. Department of Veterans Affairs Sanjay Mishra Verizon Vivek Navale NARA Quyen Nguyen NARA Felix Njeh U.S. Department of the Army Gururaj Pandurangi Avyan Consulting Corp. Linda Pelekoudas Strategy and Design Solutions Dave Raddatz SiliconGraphics International Corp. Russell Reinsch Center for Government Interoperability John Rogers HP Arnab Roy Fujitsu Michael Seablom NASA Rupinder Singh McAfee, Inc. Anil Srivastava Open Health Systems Laboratory Glenn Wasson SAIC Timothy Zimmerlin Consultant Alicia Zuniga-Alvarado Consultant
OASIS Search Web Services (SWS) I U I/U OASIS Security Assertion Markup Language (SAML) v2.0 I U I/U I/U I/U OASIS SOAP-over-UDP (User Datagram Protocol) v1.1 I U I/U OASIS Solution Deployment Descriptor Specification v1.0 U I/U OASIS Symptoms Automation Framework (SAF) Version 1.0 I/U OASIS Topology and Orchestration Specification for Cloud Applications Version 1.0 I/U U I I/U OASIS Universal Business Language (UBL) v2.1 I U I/U U OASIS Universal Description, Discovery and Integration (UDDI) v3.0.2 I U I/U U OASIS Unstructured Information Management Architecture (UIMA) v1.0 U I OASIS Unstructured Operation Markup Language (UOML) v1.0 I U I/U I OASIS/W3C WebCGM v2.1 I U I/U I OASIS Web Services Business Process Execution Language (WS-BPEL) v2.0 U I OASIS/W3C - Web Services Distributed Management (WSDM): Management Using Web Services (MUWS) v1.1 U I I U U OASIS WSDM: Management of Web Services (MOWS) v1.1 U I I U U OASIS Web Services Dynamic Discovery (WS-Discovery) v1.1 U I U I/U U OASIS Web Services Federation Language (WS-Federation) v1.2 I U I/U U OASIS Web Services Notification (WSN) v1.3 I U I/U IETF Simple Network Management Protocol (SNMP) v3 I I I/U U IETF Extensible Provisioning Protocol (EPP) U I/U NCPDPD Script standard . . . . . . . ASTM CCR message . . . . . . . HITSP C32 HL7 CCD Document . . . . . . . PMML Predictive Model Markup Language . . . . . . . Dash7 H.265 VP9 Daala WebRTC X.509
Wo Chang National Institute of Standard and Technology Geoffrey C. Fox Indiana University Pratik Thakkar Philips Gregor von Laszewski Indiana University Badi Abdhul Wahid Indiana University Fugang Wang Indiana University Robert C. Whetsel DISA/NBIS Alicia Zuniga-Alvarado Consultant
'type': 'string' } } } replica = { 'schema': { 'endpoint': { 'type': 'string' }, 'name': { 'type': 'string' }, 'checksum': { 'type': 'dict', 'schema': { 'md5': { 'type': 'string' } } }, 'replica': { 'type': 'string' }, 'accessed': { 'type': 'string' }, 'size': { 'type': 'list', 'schema': { 'type': 'string' } } } } openstack_vm = { 'schema': { 'vm_state': { 'type': 'string' }, 'availability_zone': { 'type': 'string' }, 'terminated_at': { 'type': 'string' }, 'image': { 'type': 'string' }, 'diskConfig': { 'type': 'string' },
Technical barriers include a broad range of issues involving the hardware and software involved in Big Data systems. These issues affect every part of the Big Data system, as represented by the components and fabrics of the NBDRA. The NBDIF: Volume 6, Reference Architecture provides detailed discussion of the NBDRA and it functional components. Technical barriers have been identified in the literature, some which are summarized in Table 5. The amount of survey respondents that cited a particular barrier are expressed as a percentage in the table. Table 5: Technical Barriers to Adoption Technical Barriers Aggregate Surveys Category Subcategory CDW Accenture Knowledgent Hitachi TDWI Information Week Reduced performance during concurrent usage Integration problems with existing infrastructure 35% 35% Moving data from source to analytics environment NRT Blending internal & external data; merging sources 45% Organization-wide view of data movement between apps Moving data between systems and clouds Hadoop data Hadoop specific Backup and recovery Availability Performance at scale Lack of user friendly tools 27% Security 50% 29% Compliance, privacy, and regulatory concerns 42% S&P securing deployments from hack S&P inability to mask, sensitive data S&P lack of fine control to support hetero user population Governance: auditing access; logging / tracking data lineage Analytics layer technical misspecifications Lack of suitable software 42% Lack of metadata management 25% 28% Difficulty providing end users 33%
The value proposition the reader needs to consider is the value of the answers to which questions and in what context. 3 G 4 1.5 Future Work on this Volume For the 1500 Series to be credible and intelligible in addition to being aspirational, and it light of the recent release of the Draft NIST Special Publication 800-53 Revision 5, Security and Privacy Controls for Information Systems and Organizations along with related Risk Management guidance that makes it clear that “individuals” are a large component of Security and Privacy, it must be possible to address and locate ”individuals or data subjects ”in the definitions volume, the security and privacy volume and the reference architecture volume. insert after metrics; “the place, safeguarding and definition of individuals or data subjects (including in light of NIST.SP.800-53r5.pdf)” 4 G 4 1.5 Future Work on this Volume Since both vast data and revenues are possible for the 1500 Series to be credible and intelligible in addition to being aspirational, Insert “discuss data ownership and valuation 5 G 4 1.5 Future Work on this Volume While agnosticism is mentioned in the working group charter it is not clear why this agnosticism is a desirable goal “Further identify and clarify the goal of technology-, infrastructure-, and vendor- agnosticism where system and data subject or individual anonymity has not been achieved.”
4.20 Enhance Internet of Things and CPS 2.4.2 4.21 Enhance Big Data Security Safety Annotation 2.4.7.3 4.22 Enhance Orchestration in Weak Federation Scenarios 2.4.7.5 4.23 Enhance Consent and the Glass-breaking Scenario 2.4.7.6 4.24 Enhance Security and Privacy Approaches in Analytics 5.4 4.25 Enhance Risk Management 5.6 4.26 Enhance Big Data Security Modeling and Simulation (ModSim) 5.7 4.27 Enhance Packet-Level Traceability / Reproducibility 7.1 4.28 Develop SABSA and Zachman Framework Could be new subsection in section 8 4.29 Enhance Configuration Management for Big Data 8.3 4.30 Enhance Dependency Models 8.3.2 4.31 Enhance Big Data SDLC Standards and Guidelines 8.4 4.32 Enhance Security and Privacy Events in Application Release Management 8.4.1.2 4.33 Enhance Orchestration 8.4.1.3 4.34 Enhance ‘Least Exposure’ Big Data Practices 8.4.6.2 4.35 Enhance Logging 8.4.6.3 4.36 Enhance Big Data Governance 8.5 4.37 Enhance Emerging Technologies 8.6 4.38 Enhance Machine Learning, AI, and Analytics for Big Data Security and Privacy 8.6.2 Volume 6 Topic # Volume 6 Topic Description Possible related section(s) 6.1 Develop additional architecture views and associated descriptions to reflect additional areas of concern 4 6.2 Develop architecture views focused on addressing data concerns. The current views described in this document focus heavily on the process and software components of the architecture. Since, this reference architecture deals with Big Data, additional views focused on addressing data concerns should be developed and incorporated into this architecture 4 6.3 Develop data centric sub-views focused on those Big Data characteristics (e.g., volume, velocity, variety)would likely be appropriate 4 6.4 Develop data and interface oriented views. In addition, the highly connected nature of today’s systems and the challenges associated with moving data with Big Data characteristics between systems 4
processes to go from POC to production Compliance, privacy and regulatory concerns 42% 29% S&P challenge in regulation understanding or compliance Governance: monitoring; doc operating model Governance: ownership Governance: adapting rules for quickly changing end users Difficulty operationalizing insights 33% 31% Lack of access to sources Silos: Lack of willingness to share; departmental communication 36% Healthcare Info Tech (HIT) Defining the data that needs to be collected 35% Resistance to change 30% Lack of industry standards 21% Lack of buy-in from management 18% 29% Lack of compelling use case 31% No clear ROI 36% Lack of practitioners for complexity of 27% 40% 40% 40% 42% 46%
NIST would like to acknowledge the specific contributions to this volume, during Version 1 and/or 2, and/or 3 activities, by the following NBD-PWG members: Chaitan Baru University of California, San Diego, Supercomputer Center David Boyd InCadence Strategic Services Carl Buffington Vistronix Wo Chang NIST Yuri Demchenko University of Amsterdam Kate Dolan CTFC Frank Farance Farance, Inc. Nancy Grady SAIC Keith Hare JCC Consulting, Inc. Zane Harvey QuantumS3 Bruno Kelpsas Microsoft Consultant Pavithra Kenjige PK Technologies Brenda Kirkpatrick Hewlett-Packard Donald Krapohl Augmented Intelligence Luca Lepori Data Hold Orit Levin Microsoft Jan Levine kloudtrack Serge Mankovski CA Technologies Robert Marcus ET-Strategies Gary Mazzaferro AlloyCloud, Inc. Sara Mazer Marklogic Shawn Miller U.S. Department of Veterans Affairs William Miller MaCT USA Sanjay Mishra Verizon Quyen Nguyen NARA Russell Reinsch Center for Government Interoperability John Rogers Hewlett-Packard Doug Scrimager Slalom Consulting Cherry Tom IEEE-SA Mark Underwood Krypton Brothers; Synchrony Financial
System Organ Class Very common Common Uncommon Rare Immune system disorders Drug Metabolism and nutrition disorders Decreased appetite Psychiatric disorders Anxiety, Confusional state, Hallucination, Sleep disorder, Abnormal dreams Depressed mood, Disorientation, Agitation, Nervousness, Restlessness, Euphoric mood Thinking abnormal Nervous system disorders Dizziness, Somnolence, Headache Tremor Disturbance in attention, Memory impairment, Presyncope, Sedation, Ataxia, Dysarthria, Hypoaesthesia, Paraesthesia, Muscle contractions involuntary Convulsion, Depressed level of Coordination abnormal Eye disorders Visual disturbance Cardiac disorders Heart rate increased, Palpitations Heart rate decreased Vascular disorders Blood pressure decreased Respiratory, thoracic and mediastinal disorders Respiratory depression, Oxygen saturation decreased, Dyspnoea, Gastrointestinal disorders Nausea, Vomiting Constipation, Diarrhoea, Dyspepsia, Dry mouth Abdominal discomfort Impaired gastric emptying Skin and subcutaneous tissue disorders Pruritus, Hyperhidrosis, Rash Urticaria Musculoskeletal and connective tissue disorder Muscle spasms Sensation of heaviness Renal and urinary disorders Urinary hesitation, Pollakiuria General disorders and administration site conditions Asthenia, Fatigue, Feeling of body temperature change Drug withdrawal syndrome, Oedema, Feeling abnormal, Feeling drunk, Irritability, Feeling of relaxation * Post-marketing rare events of angioedema, anaphylaxis and anaphylactic shock have been reported. Clinical trials performed with PALEXIA with patient exposure up to 90 days have shown little evidence of withdrawal symptoms upon abrupt discontinuations and these were generally classified as mild, when they occurred. Nevertheless, physicians should be vigilant for symptoms of withdrawal (see section 4.2) and treat patients accordingly should they occur. The risk of suicidal ideation and suicides committed is known to be higher in patients suffering from chronic pain. In addition, substances with a pronounced influence on the monoaminergic system have been associated with an increased risk of suicidality in patients suffering from depression, especially at the beginning of treatment. For tapentadol data from clinical trials and post-marketing reports do not provide evidence for an increased risk.
System Organ Class Frequency Very common Common Uncommon Rare Immune system disorders Drug hypersensitivity* Metabolism and nutrition disorders Decreased appetite Weight decreased Psychiatric disorders Anxiety, Depressed mood, Sleep disorder, Nervousness, Restlessness Disorientation, Confusional state, Agitation, Perception disturbances, Abnormal dreams, Euphoric mood Drug dependence, Thinking abnormal Nervous system disorders Dizziness, Somnolence, Headache Disturbance in attention, Tremor, Muscle contractions involuntary Depressed level of consciousness, Memory impairment, Mental impairment, Syncope, Sedation, Balance disorder, Dysarthria, Hypoaesthesia, Paraesthesia Convulsion, Presyncope, Coordination abnormal Eye disorders Visual disturbance Cardiac disorders Heart rate increased, Heart rate decreased, Palpitations Vascular disorders Blood pressure decreased Respiratory, thoracic and mediastinal disorders Dyspnoea Respiratory depression Gastrointestinal disorders Nausea, Constipation Vomiting, Diarrhoea, Dyspepsia Abdominal discomfort Impaired gastric emptying Skin and subcutaneous tissue disorders Pruritus, Hyperhidrosis, Rash Urticaria Renal and urinary disorders Urinary hesitation, Pollakiuria Reproductive system and breast disorders Sexual dysfunction General disorders and administration site conditions Asthenia, Fatigue, Feeling of body temperature change, Mucosal dryness, Oedema Drug withdrawal syndrome, Feeling abnormal, Irritability Feeling drunk, Feeling of relaxation * Post-marketing rare events of angioedema, anaphylaxis and anaphylactic shock have been reported. Clinical trials performed with PALEXIA SR with patient exposure up to 1 year have shown little evidence of withdrawal symptoms upon abrupt discontinuations and these were generally classified as mild, when they occurred. Nevertheless, physicians should be vigilant for symptoms of withdrawal (see section 4.2) and treat patients accordingly should they occur. The risk of suicidal ideation and suicides committed is known to be higher in patients suffering from chronic pain. In addition, substances with a pronounced influence on the monoaminergic system have been associated with an increased risk of suicidality in patients suffering from depression, especially at the beginning of treatment. For tapentadol data from clinical trials and post-marketing reports do not provide evidence for an increased risk.
Project Timeline (Gantt Chart) /10 Comments Risk Management /10 Comments References /5 Comments Total /60 School of Mechanical and Chemical Engineering Final Year Projects 2012 Project Proposal Grading Guidelines – 60 Points Total Presentation – 5 points Cover page Is the template format used (2.5 cm margins all round, 12 point times font, single line spacing, Header and footer as in this scheme)? Professionalism of expression
PA Core Aligned ELA Curriculum Framework English Language Arts Long Term Transfer Goals Transfer goals highlight the effective uses of understanding, knowledge, and skill that we seek in the long run; i.e., what we want students to be able to do when they confront new challenges – both in and outside of school. Students will be able to independently use their learning to: 1. Comprehend and evaluate complex texts across a range of types and disciplines. 2. Be a critical consumer of text and other media to recognize, understand, and appreciate multiple perspectives and cultures 3. Produce writing to address task, purpose, perspective, and intended audience; research and gather evidence to create a clear and coherent message 4. Communicate effectively for varied purposes and audiences. 5. Listen actively to engage in a range of conversations, to analyze and synthesize idea and positions, and to evaluate accuracy in order to learn, reflect, and respond. Big Ideas Essential Questions A. Effective readers use appropriate strategies to construct meaning. How do strategic readers create meaning from informational and literary text? What is this text really about? How do readers know what to believe? How do what readers read influence how they should read it? How does a reader’s purpose influence how text should be read? B. Critical thinkers actively and skillfully interpret, analyze, evaluate, and synthesize information. How do readers know what to believe in what they read, hear, and view? How does interaction with text provoke thinking and response? C. Active listeners make meaning from what they hear by questioning, reflecting, responding, and evaluating. What do good listeners do? How do active listeners make meaning? How do active listeners know what to believe in what they hear? D. Effective speakers prepare and communicate messages to address the audience and purpose. How do task, purpose, and audience influence how speakers craft and deliver a message? How do speakers employ language and utilize resources to effectively communicate a message? E. Effective research requires the use of varied resources to gain or expand knowledge. What does a reader look for and how can s/he find it? How does a reader know a source can be trusted? How does one organize and synthesize information from various sources?
How does one best present findings? F. Audience and purpose influence a writer’s choice of organizational pattern, language, and literary techniques. What makes clear and effective writing? Why do writers write? What is the purpose? Who is the audience? What will work best for the audience? G. Rules of grammar and language conventions support clarity of communications between writers/speakers and readers/listeners. How do learners make decisions concerning formal and informal language in social and academic settings? How do grammar and the conventions of language influence spoken and written communication? H. An expanded vocabulary enhances one’s ability to express ideas and information. Why learn new words? What strategies and resources does the learner use to figure out unknown vocabulary? How does one develop and refine vocabulary?
Module 10: Teaching Problem Solving – Process Agenda Time Content Handouts Presenter Slides 1-8 12 min Welcome and introduction Review pre-learning assignment Video: Bert and Ernie at the movies (2:36) Objectives Slide 9-13 15 min Instructional Practices Checklist Activity: What Would You Do? Problem solving at different ages HO: Instructional Practice Checklist HO: What Would You Do? Slides 14-22 25 min Introduce Steps to Problem-Solving Process Activity: Clues and Problems slide 17 Instructional Practices Checklist Video: Lisa working with 2 students using problem-solving steps (2:15) HO: Clues and Problems Slides 23-26 10 min Using Visual Supports in Problem Solving Solution Kit Video of teacher using Solution Kit (3:17) Video of Doyle Woodall- visual supports in the classroom (1:20) Slide 27 15 min Teachers Sharing Materials Strategies Make and Take: Solution Kit or Problem Solving wristlets HO: Problem-solving Steps-template HO: Solution Steps-template Slide 28 - 29 15 min Formative Assessment Video: E. Pannell, CMS- using solution cards HO: Teaching Problem Solving Skills- Formative Assessment Slides 30-33 10 min “problematize” proactive steps Family Engagement HO: Proactive Steps to Teaching Problem Solving Skills HO: Help Your Child Become a Problem Solver HO: Solving Problems with your Child Slides 34-37 25 min Using Foundations: NC Early Learning and Development Standards Crosswalk: preschool to kindergarten Using the Teaching Standards Activity: Using iPoints Foundations at a Glance or Foundations book NC Foundations Crosswalk to NC Essential Standards NC Teaching Standards iPoints for Teachers Slides 38-40 5 min Conclusion Post-Learning Activity Questions
Financial Aid is available! Call (818) 947-2412. Go to the Financial Aid Office in the Student Services Center, first floor. For more info: . Course Grade GRADE PERCENTAGE POINTS A 100% - 90% 700 - 626 B 89% - 80% 626 - 557 C 70% - 70% 556 - 487 D 69% - 60% 486 - 417 F 59% - 0% 416 - 0 WA HW Q1 E1 Q2 E2 Q3 FE SS TOTAL 75 50 50 100 50 100 50 200 25 700 TENATIVE COURSE OUTLINE Week Sections Exam/Quiz Holidays Aug 27 – Aug 31 SS1, SS2, 1.2, 1.3, 1.5 Sept 3 – Sept 7 1.6, 1.4 9/3 – Labor Day 9/4 – Class Canceled Sept 10 – Sept 14 1.7, 1.8, 2.1, 2.2 Sept 17 – Sept 21 2.3, 2.4, 2.5 9/20 – Quiz 1 (CH 1) Sept 24 – Sept 28 SS3, SS4, 2.6, 3.1, 3.2 Oct 1 – Oct 5 3.3, 3.4, 4.1, 4.2 Oct 8 – Oct 12 4.3, 4.4 10/11 –Exam 1 (CH1 - CH3) Oct 15 – Oct 19 4.5, 4.6, 4.7, 4.8 Oct 22 – Oct 26 5.1, 5.2, 5.3, 5.4 Oct 29 – Nov 2 5.5, 5.6 10/31 – Quiz 2 (CH 4) Nov 5 – Nov 9 SS5, 6.1, 6.2, 6.3 Nov 12 – Nov 16 6.4 11/12 – Veteran’s Day Nov 19 – Nov 23 7.1, 7.2 11/21 – Exam 2 (CH4 - CH6) 11/22 -- Thanksgiving Nov 26 – Nov 30 7.3, 7.4, 7.5, 7.6 Dec 3 - Dec 7 9.4 12/4 – Quiz 3 (CH7) Dec 10 - Dec 14 12/12 8:00AM – 10:00AM Final Exam CH1-7 & 9.4 ** The exam dates are tentative and can be changed by the instructor’s discretion.
Module 12 Core Questions: Use the links provided to answer these questions. Be sure to code you responses in blue or red font. This assignment is worth 80 points. Name: Core Part 1: Cold War Continues 1. What was the Cold War? 2. How long did it last? 3. Identify the following terms as they relate to the Cold War Containment: Domino Theory: Collective Security: Massive Retaliation: Brinkmanship: Arms Race: 4. How did NATO and the Warsaw Pact work to create a world divided between two armed camps? 5. When did China become a communist nation? 6. Who became their leader? 7. Why was China’s communist revolution such a devastating blow to the U.S.? 8. How did the Korean War increase tensions between the United States and China? 9. How did Richard Nixon attempt to solve the problem? 10. Why does the Tiananmen Square Massacre continue to obstruct relations with China? 11. Explain the relationship between China and the U.S. today: 12. Who led the communist revolution in Cuba? 13. Why was the new Communist Government in Cuba such a problem for the American Government? 14. Who were the Cuban Exiles? 15. What was to be the purpose of the Bay of Pigs invasion? 16. What happened during the Bay of Pigs Invasion? 17. Who were the THREE key leaders involved in the Cuban Missile Crisis? 18. Why did the Cuban Missile Crisis nearly cause a nuclear war? 19. What was the purpose of the Cuban Embargo? 20. Has it worked? 21. Which American President is most closely associated the problems in Cuba? 22. What is technology? 23. How has technology affected communication and access to information? 24. What was the “Space Race”? 25. Why does the U.S. believe it won? 26. Which president pledged a strong effort to send a man to the moon? 27. Who was the first American in space?
Core Part 4: Civil Rights in the 1960’s 1. When was Martin Luther King’s march on Washington? 2. What was the purpose of that march? 3. What was the title of the speech given by Dr. King in Washington, D.C.? 4. How would this march prove the power of non-violent protest? 5. What major setback occurred in 1963 for the Civil Rights Movement? 6. What events made 1968 such a “bad year” for America? 7. How was President Lyndon Johnson more of an advocate for Civil Rights than Kennedy? 8. What were the key provisions of the Civil Rights Act of 1964? 9. What was the purpose of Martin Luther King’s march in Selma? 10. What was the result of that march? 11. What were the key elements of the Voting Rights Act of 1965? 12. How did the violence being witnessed in the media affect the Civil Rights Movement? 13. Explain each of these terms as they relate to the Civil Rights Movement in the 1960’s: Civil Disobedience: Non-Violence: Sit-ins: Black power: 14. Why was the NAACP focused on working through the court system? 15. Why does non-violent protest seem to get more lasting and positive results than violent protest? 16. Why does public opinion need to change before “real laws” can take effect?
Creating one way streets (Croydon Street, Burwood Street and Kitchener Street). Design, landscaping and signage modifications to restrict vehicles to travelling one way on the street. Aims to reduce through traffic. Will restrict access for resdients Potential to increase traffic speeds as vehciles will not have to slow or stop to allow contraflow to pass. Costs approximately $40 000 per street. Cardno only recommends this solution for northbound traffic, meaning access to all the north-south streets will be from Verdun Street and must exit via Aberdare Road. Entry statements on any or all north-south streets. Coloured and/or textured sections of road surface to alert drivers they are entering a different driving environment. The difference in surface would be expected to slow drivers and deter through traffic. Extent of effectiveness is questionable. Average cost of $15 000 per treatment plus ongoing maintenance. Design and install slow points on Kitchener, Burwood and Croydon Streets. Narrow or angle the roadway at a certain point and potentially introduce a median if required. Aim is to physically slow traffic. Will most likely result in a loss of some on street parking. Landscaping opportunity. Deter trough traffic. Average cost $20 000. Politically unpopular. Speed display signs on Verdun Street. Road side signs that measure and display vehicle speed, with a ‘slow down’ or ‘thank you’ message. Aim to reduce vehicle speeds and improve driver awareness of local speed limit. Solar powered units can be used. Costs are approximately $15 000 per location. More suitable option will be the use of the City’s existing speed display trailer on the streets that are experiencing higher speeds. Bicycle parking audit Assessing where bicycle parking already Aim to improve cycling environment.
Active street fronts Commercial areas benefit from street level activity. Activation of streets fronts promotes character and a friendly environment. Activation can be achieved by al fresco dining, tenancies addressing the street and the street level not being dominated by services. Involve community groups Involving community groups ensures that hubs are identified as focal points of the community. Budgetary principles The following broad principles apply to the process of planning to strengthen existing hubs and the implementation of the framework: The focus of all work must be value for money. A budget to undertake the planning process to strengthen each hub identified in this framework must be available before the process commences. A budget must be established for each hub prior to the commencement of that hubs planning. Work is to align with the commitments outlined in the Strategic community Plan. The recommendations flowing from the planning process must be tested for affordability before a final plan is recommended for adoption. Affordability can include maximising grant opportunities, public/private partnership and other revenue raising options. Priority Many of the hubs identified within the Strategic Community Plan are already involved in or have already been part of strategies for their future. The following table details this:
” “ Mepanipyrim Mepanipyrim Strawberry 2 ” “ Metaflumizone Sum of metaflumizone, its E and Z isomers and its metabolite 4-{2-oxo-2-[3-(trifluoromethyl) phenyl]ethyl}-benzonitrile expressed as metaflumizone Grapes 0.04 ” “ Quinclorac Quinclorac Cranberry 1.5 ” “ Thiophanate-methyl Sum of thiophanate-methyl and as Cherries 20 Nectarine 3 Peach 3 ” “ Zoxamide Zoxamide Grapes 3 ” [1.3] inserting in Schedule 1 for each of the following chemicals the foods and associated MRLs in alphabetical order Abamectin Sum of avermectin B1a, avermectin B1b and (Z)-8,9 avermectin B1a, and (Z)-8,9 avermectin B1b “ Grapes 0.02 ” Acequinocyl Sum of acequinocyl and its metabolite expressed as acequinocyl “ Grapes 1.6 ” Acetamiprid Commodities of plant origin: Acetamiprid Commodities of animal origin: Sum of acetamiprid and N-demethyl acetamiprid ((E)-N1-[(6-chloro-3- pyridyl)methyl]-N2-cyanoacetamidine), expressed as acetamiprid “ Grapes 0.35 ” Azinphos-methyl Azinphos-methyl “ Strawberry 1 ” 2-
The Consultant may request, from a Contractor, additional documentation in connection with each payment to the Contractor. The Consultant may recommend to the Contracting Authority that payments be withheld from, or Liquidated Damages be assessed against, a Contractor Payment Request. If the Project is administered using the State’s web-based project management software, the Consultant shall receive and recommend the Contractor’s Contractor Payment Request for approval, using the “Applications for Payment” business process. - Partial Occupancy The A/E, in coordination with the Consultant, shall assist the Contracting Authority and the Owner in determining dates of Partial Occupancy of the Work or portions thereof designated by the Owner and shall assist in obtaining any certification required by Applicable Law. Contract Closeout Within 3 business days of receipt of the Contractor’s request for the A/E’s Review of the Work, the A/E shall notify the Contractor of acceptance or rejection of the request, stating reasons for any rejection. The A/E shall notify the Consultant, Contractor, Contracting Authority, and Owner of the scheduled time of the A/E’s Review. Within 3 business days after the A/E’s Review, the A/E shall provide to the Contractor, and the Consultant, a list of Defective, incomplete, or unacceptable Work (“A/E’s Punch List”). The A/E shall include comments from the Consultant, Contracting Authority, and Owner in the A/E’s Punch List. If the Project is administered using the State’s web-based project management software, the Consultant shall receive the Contractor’s Punch List and the A/E’s Punch List, using the “Punch List” business process. Post-Occupancy Inspection The Consultant shall participate in a walk-through of the Project with the Owner and the A/E one month prior to the expiration of each Correction Period. The Consultant shall consult with the A/E and the Owner to address any issue identified in the walk-through according to the procedures specified in the Standard Requirements. The A/E shall notify the Contractor of such defects in writing with a request that the Contractor correct the deficient Work, prior to the end of the Correction Period. END OF DOCUMENT
A (1-α)100% confidence interval will be given by: lower bound: upper bound: __________________________________________________________________ is called the ‘margin of error’ (half the length of the confidence interval) __________________________________________________________________ Example: (3rd ed.) A random sample of size n is drawn from a population that is normally distributed. The sample mean is found to be 108 and the sample standard deviation is found to be 10. a. Construct a 96% confidence interval for μ if the sample size is 25. b. Construct a 96% confidence interval for μ if the sample size is 10. c. Construct a 90% confidence interval for μ if the sample size is 25. Compare the above answers, noting relationships of n, α and the margin of error. d. Could we have computed the above confidence intervals if the population was not normally distributed? __________________________________________________________________ Use Stats/Tests/TInterval __________________________________________________________________ Example: (p.450, #36ac) [Note text answer.]
vegetables, Head Cabbage, Flowerhead Brassicas Cabbages, Head 2 Kohlrabi 0.02 Brassica leafy vegetables Delete T2 Not required Consequential amendment Not required Not required Corn salad 10 10 Codex 16 12 Fruiting vegetables, other than cucurbits 1.5 Fruiting vegetables other than cucurbits [except fungi, edible; mushrooms and sweet corn (corn-on-the-cob and kernels) 1 United States 7 4 Garlic 0.6 Commodity not listed United States <1 <1 Grapes 3 2 United States 17 8 Herbs 10 Commodity not listed European Union 1 <1 Hops, dry 80 80 Codex 8 3 Leafy vegetables 30 Lettuce, Head 10 United States Worst case: 58 – Brassica leafy vegetables Worst case: 96 – Lettuce head Leafy vegetables [except lettuce head] Delete T2 Not required Consequential amendment Not required Not required Lettuce head Delete 0.3 Not required Consequential amendment Not required Not required Lima bean (young pods and/or immature beans) 0.6 Commodity not listed United States <1 <1 Onion, bulb 0.6 Commodity not listed United States 1 <1 Potato 0.05 0.05 Codex <1 <1 Shallot 0.6 Commodity not listed United States <1 <1 Spices 0.05 Commodity not listed European Union <1 <1 Spring onion 15 Commodity not listed United States 8 2 Dinotefuran <1 Cranberry 0.2 0.15 United States <1 <1 Endosulfan 8 Assorted tropical and fruits – inedible peel Delete 2 APVMA Broccoli Delete 1 APVMA
SITE AND INFRASTRUCTURE SUBGROUP Division 30 – Not Used Division 31 – Earthwork Division 32 – Exterior Improvements Division 33 – Utilities Division 34 – Transportation Division 35 – Waterway and Marine Divisions 36 through 39 – Not Used PROCESS EQUIPMENT SUBGROUP Division 40 – Process Integration Division 41 – Material Processing and Handling Equipment Division 42 – Process Heating, Cooling, and Drying Equipment Division 43 – Process Gas and Liquid Handling Equipment Division 44 – Pollution Control Equipment Division 45 – Industry-Specific Manufacturing Equipment Division 46 – Water and Wastewater Equipment Division 47 – Not Used Division 48 – Electrical Power Generation Division 49 – Not Used END OF DOCUMENT
Northeast Ohio Procurement Technical Assistance Center Lakeland Community College Engineering Building Room 222 7700 Clock Tower Drive Kirtland, Ohio 44094 Phone: (440) 525-7733 Contact: Jane Stewart E-mail: Website: Ohio University Procurement Technical Assistance Center Voinovich Center for Leadership and Public Affairs The Ridges, Building 20, Suite 143 Athens, Ohio 45701 Phone: (740) 597-1868 Contact: Sharon Hopkins E-mail: Website: South Point Procurement Technical Assistance Center Southern Ohio Procurement Outreach Center 216 Collins Avenue South Point, Ohio 45680 Phone: (740) 377-4550 Contact: Jordan Lucas E-mail: Website: Mahoning Valley Procurement Technical Assistance Center Mahoning Valley Economic Development Corporation 4319 Belmont Avenue Youngstown, Ohio 44505 Phone: (330) 759-3668 x24 Contact: Norma Webb E-mail: Website: Region 1 Minority Business Assistance Center Akron Urban League 440 Vernon Odom Boulevard Akron, Ohio 44307 Phone: (234) 542-4149 Contact: Triva Manley E-mail: Website: Region 2 Minority Business Assistance Center University of Toledo 2145 East Scott Park Drive Toledo, Ohio 43607 Phone: (419) 530-3344 Contact: Jay Black E-mail: Website: Region 3 Minority Business Assistance Center Central Ohio Minority Business Association 1393 East Broad Street, Floor 2 Columbus, Ohio 43205 Phone: (614) 252-8005 Contact: Plan Room [Paper + PDF] E-mail: Website: Region 4 Minority Business Assistance Center City of Dayton c/o Human Relations Council 907 West Fifth Street Dayton, Ohio 45402 Phone: (937) 333-1002 Contact: RoShawn Winburn E-mail: Region 5 Minority Business Assistance Center Greater Cincinnati African American Chamber 2945 Gilbert Avenue Cincinnati, Ohio 45206 Phone: (513) 475-7151 Ext. 121 Contact: Deborah Davis E-mail: Website: Region 6 Minority Business Assistance Center Mahoning Valley Economic Development Corporation 2123 Belmont Avenue Youngstown, Ohio 44505 Phone: (330) 746-5681 Contact: William Carter E-mail: END OF DOCUMENT
South Point Procurement Technical Assistance Center Southern Ohio Procurement Outreach Center 216 Collins Avenue South Point, Ohio 45680 Phone: (740) 377-4550 Contact: Jordan Lucas E-mail: Website: Mahoning Valley Procurement Technical Assistance Center Mahoning Valley Economic Development Corporation 4319 Belmont Avenue Youngstown, Ohio 44505 Phone: (330) 759-3668 x24 Contact: Norma Webb E-mail: Website: Region 1 Minority Business Assistance Center Akron Urban League 440 Vernon Odom Boulevard Akron, Ohio 44307 Phone: (234) 542-4149 Contact: Triva Manley E-mail: Website: Region 2 Minority Business Assistance Center University of Toledo 2145 East Scott Park Drive Toledo, Ohio 43607 Phone: (419) 530-3344 Contact: Jay Black E-mail: Website: Region 3 Minority Business Assistance Center Central Ohio Minority Business Association 1393 East Broad Street, Floor 2 Columbus, Ohio 43205 Phone: (614) 252-8005 Ext. 102 Contact: Averi Frost [Paper + PDF] E-mail: Website: Region 4 Minority Business Assistance Center City of Dayton c/o Human Relations Council 907 West Fifth Street Dayton, Ohio 45402 Phone: (937) 333-1002 Contact: RoShawn Winburn E-mail: Region 5 Minority Business Assistance Center Greater Cincinnati African American Chamber 2945 Gilbert Avenue Cincinnati, Ohio 45206 Phone: (513) 475-7151 Ext. 121 Contact: Deborah Davis E-mail: Website: Region 6 Minority Business Assistance Center Mahoning Valley Economic Development Corporation 2123 Belmont Avenue Youngstown, Ohio 44505 Phone: (330) 746-5681 Contact: William Carter E-mail: END OF DOCUMENT