Local Revere, MA Events & Happenings

When: Oct 21, 2018 8:30PM in Revere, MA

Black Cotton Club is BACK and ready to JAM for the 99 to 2000. This Jam Session is celebrating the Trap Music from the oldest era to now. Come through and Jam, Sing or Rap to your favorite Trap song.  Bring the whole squad! LIVE BAND DOPE ARTIST BEAUTIFUL COMMUNITY Admission $10/ $13 at the door FEAT. LIVE BAND: Guy & Friends What is a Jam Session? A jam session is when a community of artists come together and collaborate, vibe and create magic together. Now that we know the logistics... We're calling all singers, poets, rappers, activists, healers, planters and most importantly, our community to come to this space and bless it.

When: Oct 26, 2018 7:30PM in Revere, MA

When: Oct 26, 2018 8pm in Revere, MA

Sponsored by: MA Department of Conservation and Recreation
Minimum age: 18
Each September through November, thousands of volunteers throughout MA turn out for COASTSWEEP—the statewide coastal cleanup sponsored by the MA Office of Coastal Zone Management (CZM). COASTSWEEP is part of the International Coastal Cleanup organized by Ocean Conservancy in . . .

When: Oct 27, 2018 12:30PM in Revere, MA

When: Oct 27, 2018 9pm in Revere, MA

ESCRIPTIONApplied Statistics for Scientists and Engineers*** LIMITED TIME OFFER: FREE $100 AMAZON GIFT CARD! ***REGISTER TODAY!Throughout 21 CFR and guidance documents for the pharmaceutical, biopharmaceutical, and medical device industries, the application of statistical methods are specified for: setting validation criteria and specifications, performing measurement systems analysis (MSA), conducting stability analysis, using design of experiment (DOE) for process development and validation, developing process control charts, and determining process capability indices.Different statistical methods are required for each of these particular applications. Data and tolerance intervals are common tools used for setting acceptance criteria and specifications. Simple linear regression and analysis-of-covariance (ANCOVA) are used for setting expiries and conducting stability analysis studies. Two-sample hypothesis tests, analysis-of-variance (ANOVA), regression, and ANCOVA are methods used for analyzing designed experiment for process development and validation studies. Descriptive statistics (distribution, summary statistics), run charts, and probability (distributions) are used for developing process control charts and developing process capability indices.This course provides instruction on how to apply the appropriate statistical approaches: descriptive statistics, data intervals, hypothesis testing, ANOVA, regression, ANCOVA, and model building. Once competence in each of these areas is established, industry-specific applications are presented for the participants.Why should you attend:21 CFR and guidance documents for the pharmaceutical, biopharmaceutical, and medical device industries specify the application of statistical methods across the product quality lifecycle.According to the Quality System Regulation (QSR) for medical devices, "Where appropriate, each manufacturer shall establish and maintain procedures for identifying valid statistical techniques required for establishing, controlling, verifying the acceptability of process capability and product characteristics." Although there are many statistical method that may be applied to satisfy this portion of the QSR, there are some commonly accepted methods that all companies can and should be using to develop acceptance criteria, to ensure accurate and precise measurement systems, to fully characterize manufacturing processes, to monitor and control process results and to select an appropriate number of samples.According to both 21 CFR and guidance documents, the need for statistical methods is well established from discovery through product discontinuation. 21 CFR specifies the "the application of suitable statistical procedures" to establish both in-process and final specifications. The guidance documents necessitate the application of statistical methods for development and validation of measurement systems, process understanding using Quality by Design (QbD) principles, process validation, as well as ensuring the manufacturing process is in control and is capable.This course provides instruction statistical methods for data analysis of applications related to the pharmaceutical, biopharmaceutical, and medical device industries.Areas Covered in the Session:Objectives:-describe and analyze the distribution of data-develop summary statistics-generate and analyze statistical intervals and hypothesis tests to make data-driven decisions-describe the relationship between and among two or more factors or responses-understand issues related to sampling and calculate appropriate sample sizes-use statistical intervals to setting specifications/develop acceptance criteria-use Measurement Systems Analysis (MSA) to estimate variance associated with: repeatability, intermediate precision, and reproducibility-ensure your process is in (statistical) control and capableWho Will Benefit:This seminar is designed for pharmaceutical, biopharmaceutical, and medical device professionals who are involved with product and/or process design:-Process Scientist/Engineer-Design Engineer-Product Development Engineer-Regulatory/Compliance Professional-Design Controls Engineer-Six Sigma Green Belt-Six Sigma Black Belt-Continuous Improvement Manager------------------AGENDA------------------Day 1 ScheduleLecture 1:Basic Statisticssample versus populationdescriptive statisticsdescribing a distribution of valuesLecture 2:Intervalsconfidence intervalsprediction intervalstolerance intervalsLecture 3:Hypothesis Testingintroducing hypothesis testingperforming means testsperforming normality tests and making non-normal data normalLecture 4:ANOVAdefining analysis of variance and other terminologydiscussing assumptions and interpretationinterpreting hypothesis statements for ANOVAperforming one-way ANOVAperforming two-way ANOVADay 2 ScheduleLecture 1:Regression and ANCOVAproducing scatterplots and performing correlationperforming simple linear regressionperforming multiple linear regressionperforming ANCOVAusing model diagnosticsLecture 2:Applied Statisticssetting specificationsMeasurement Systems Analysis (MSA) for assaysstability analysisintroduction to design of experiments (DOE)process control and capabilitypresenting results----------------------SPEAKER----------------------Jim WisnowskiJim Wisnowski is the cofounder of Adsurgo LLC and co-author of the book Design and Analysis of Experiments by Douglas Montgomery: A Supplement for using JMP. He has over 25 years of experience and currently provides training and consulting services to industry and government in Design of Experiments (DOE), Reliability Engineering, Data Visualization, Predictive Analytics, and Text Mining. Dr. Wisnowski has been an invited speaker on applicability of statistics for national and international conferences. Prior to his current position, he was a senior program manager for URS, Chief of the Statistics Division in the Mathematics Department at the Air Force Academy, and a retired military officer. He is currently a member of the editorial board of Quality Engineering and has published numerous international refereed journal articles on statistics. Jim has a PhD in Industrial Engineering from Arizona State University."Please contact the event manager Marilyn (marilyn.b.turner(at)nyeventslist.com ) below for:- Multiple participant discounts- Price quotations or visa invitation letters- Payment by alternate channels (PayPal, check, Western Union, wire transfers etc)- Event sponsorshipNO REFUNDS ALLOWED ON REGISTRATIONSPrices may go up any time. Service fees included in pricing.-----------------------------------------------------------------This event is brought to you by:NetZealous LLC - NewYorkEventsListhttp://www.NyEventsList.comhttp://www.BostonEventsList.comhttp://www.SFBayEventsList.com-----------------------------------------------------------------JOA180419CEV

When: Nov 5, 2018 9am to Nov 5, 2018 6pm in Revere, MA
Cost: $1,285 – $7,112

Neuroscience of mindfulness and clinical applications of mindfulness *** LIMITED TIME OFFER: FREE $100 AMAZON GIFT CARD! *** REGISTER TODAY!  Neuroscience research is providing new insight into how psychotherapeutic techniques may change the brain in healthy ways. Specifically, over the past couple of decades there has been an explosion of research on the neuroscience of mindfulness, including how mindfulness practices may help clients better manage and reduce symptoms associated with mental health conditions such as depression, anxiety, trauma, and addiction. The goals of this seminar are to share this research with attendees, discuss how to apply this research to psychotherapy, and learn ways to practice mindfulness effectively and efficiently. This two-day, experiential seminar presents attendees with the most up-to-date neuroscience findings on mindfulness practice, including which techniques have been shown to change specific areas of the brain for better mental health. Brain-changing mindfulness exercises that can help depression, anxiety, trauma, and addiction symptoms will be discussed. Additionally, most of these techniques will be practiced during the seminar, and attendees will be provided with detailed instructions and scripts for all techniques taught, so that they may begin to incorporate these techniques into their practice immediately. Why you should attend: Mindfulness practices, such as meditation, diaphragmatic breathing, or body-based exercises, are extremely versatile and have been shown to be helpful adjuncts to evidence-based psychotherapeutic interventions for a wide variety of mental health conditions. Thus, many mental health professionals want to incorporate mindfulness practice into psychotherapy. However, it is not uncommon for clinicians feel uncertain about when, how, and with whom to use these techniques. Furthermore, it can be unclear which mindfulness methods are likely to be beneficial, depending on a client's symptoms and presentation. Taking a "one size fits all" approach to mindfulness practice can lead treatment noncompliance, inefficiency, and ineffectiveness, but quality training on how to apply mindfulness in clinical practice can be difficult to find. Attend this experiential seminar to learn the neuroscience of mindfulness and discover which mindfulness techniques to use, at what time, and with whom, and start helping mindfulness practice work better for your clients! Areas Covered in the Session: Neuroscience research Neuroscience of mindfulness Clinical applications of mindfulness Mindfulness practices Treatment compliance Who Will Benefit: Licensed mental health professionals Psychologists Social workers LMFTs LPCs Addiction specialists School therapists/psychologists AGENDA  Day 1 Schedule Lecture 1 (90 Mins): Mental Health and the Nervous System Lecture 2 (90 Mins): The Neuroscience of Mental Health and Illness Lecture 3 (90 Mins): Types of Mindfulness Practices: Four Categories Lecture 4 (90 Mins): The Neuroscience of Mindfulness; Assessment of Mindfulness Day 2 Schedule Lecture 1 (90 Mins): Brain Change, The Goal of All Therapy; Three Ways to Change the Brain Lecture 2 (90 Mins): Bottom-Up Mindfulness Techniques Lecture 3 (90 Mins): Top-Down Mindfulness techniques Lecture 4 (90 Mins): Treatment Roadmaps: Integrating Mindfulness into Real-Life Clinical Practice; Enhancing therapy compliance. SPEAKER Jennifer Sweeton Organizational Consultant, Kansas City Mental Health Dr. Jennifer Sweeton is a licensed clinical psychologist and internationally-recognized expert on anxiety and trauma, women's issues, and the neuroscience of mental health. She completed her doctoral training at the Stanford University School of Medicine, the Pacific Graduate School of Psychology, and the National Center for PTSD. Additionally, she holds a master's degree in affective neuroscience from Stanford University, and studied behavioral genetics at Harvard University. Dr. Sweeton resides in the greater Kansas City area, where she owns a group private practice, Kansas City Mental Health Associates (trade name for Mind Works Consulting and Psychological Services, PLLC). She formerly served as the President of the Oklahoma Psychological Association, and holds adjunct faculty appointments at the University of Kansas School of Medicine and the University of Oklahoma Health Sciences Center. She is the current President-Elect of the Greater Kansas City Psychological Association. Dr. Sweeton offers psychological services services to clients in Oklahoma, Kansas, and internationally, and is a sought-after trauma and neuroscience expert who has trained thousands of mental health professionals in her workshops. Please contact the event manager Marilyn (marilyn.b.turner@nyeventslist.com ) below for:- Multiple participant discounts- Price quotations or visa invitation letters- Payment by alternate channels (PayPal, check, Western Union, wire transfers etc)- Event sponsorshipsNO REFUNDS ALLOWED ON REGISTRATIONSService fees included in this listing.-----------------------------------------------------------------This event is brought to you by:Netzealous LLC - NewYorkEventsListhttp://www.NyEventsList.comhttp://www.BostonEventsList.comhttp://www.SFBayEventsList.com-----------------------------------------------------------------MYL180527CEV MYL180615CHK

When: Nov 5, 2018 9am in Revere, MA

Applied Statistics for Scientists and Engineers *** LIMITED TIME OFFER: FREE $100 AMAZON GIFT CARD! ***REGISTER TODAY! Throughout 21 CFR and guidance documents for the pharmaceutical, biopharmaceutical, and medical device industries, the application of statistical methods are specified for: setting validation criteria and specifications, performing measurement systems analysis (MSA), conducting stability analysis, using design of experiment (DOE) for process development and validation, developing process control charts, and determining process capability indices. Different statistical methods are required for each of these particular applications. Data and tolerance intervals are common tools used for setting acceptance criteria and specifications. Simple linear regression and analysis-of-covariance (ANCOVA) are used for setting expiries and conducting stability analysis studies. Two-sample hypothesis tests, analysis-of-variance (ANOVA), regression, and ANCOVA are methods used for analyzing designed experiment for process development and validation studies. Descriptive statistics (distribution, summary statistics), run charts, and probability (distributions) are used for developing process control charts and developing process capability indices. This course provides instruction on how to apply the appropriate statistical approaches: descriptive statistics, data intervals, hypothesis testing, ANOVA, regression, ANCOVA, and model building. Once competence in each of these areas is established, industry-specific applications are presented for the participants. Why should you attend: 21 CFR and guidance documents for the pharmaceutical, biopharmaceutical, and medical device industries specify the application of statistical methods across the product quality lifecycle. According to the Quality System Regulation (QSR) for medical devices, "Where appropriate, each manufacturer shall establish and maintain procedures for identifying valid statistical techniques required for establishing, controlling, verifying the acceptability of process capability and product characteristics." Although there are many statistical method that may be applied to satisfy this portion of the QSR, there are some commonly accepted methods that all companies can and should be using to develop acceptance criteria, to ensure accurate and precise measurement systems, to fully characterize manufacturing processes, to monitor and control process results and to select an appropriate number of samples. According to both 21 CFR and guidance documents, the need for statistical methods is well established from discovery through product discontinuation. 21 CFR specifies the "the application of suitable statistical procedures" to establish both in-process and final specifications. The guidance documents necessitate the application of statistical methods for development and validation of measurement systems, process understanding using Quality by Design (QbD) principles, process validation, as well as ensuring the manufacturing process is in control and is capable. This course provides instruction statistical methods for data analysis of applications related to the pharmaceutical, biopharmaceutical, and medical device industries. Areas Covered in the Session: Objectives: describe and analyze the distribution of data develop summary statistics generate and analyze statistical intervals and hypothesis tests to make data-driven decisions describe the relationship between and among two or more factors or responses understand issues related to sampling and calculate appropriate sample sizes use statistical intervals to setting specifications/develop acceptance criteria use Measurement Systems Analysis (MSA) to estimate variance associated with: repeatability, intermediate precision, and reproducibility ensure your process is in (statistical) control and capable Who Will Benefit: This seminar is designed for pharmaceutical, biopharmaceutical, and medical device professionals who are involved with product and/or process design: Process Scientist/Engineer Design Engineer Product Development Engineer Regulatory/Compliance Professional Design Controls Engineer Six Sigma Green Belt Six Sigma Black Belt Continuous Improvement Manager AGENDA Day 1 ScheduleLecture 1: Basic Statisticssample versus populationdescriptive statisticsdescribing a distribution of valuesLecture 2: Intervalsconfidence intervalsprediction intervalstolerance intervalsLecture 3: Hypothesis Testingintroducing hypothesis testingperforming means testsperforming normality tests and making non-normal data normalLecture 4: ANOVAdefining analysis of variance and other terminologydiscussing assumptions and interpretationinterpreting hypothesis statements for ANOVAperforming one-way ANOVAperforming two-way ANOVA Day 2 ScheduleLecture 1: Regression and ANCOVAproducing scatterplots and performing correlationperforming simple linear regressionperforming multiple linear regressionperforming ANCOVAusing model diagnosticsLecture 2: Applied Statisticssetting specificationsMeasurement Systems Analysis (MSA) for assaysstability analysisintroduction to design of experiments (DOE)process control and capabilitypresenting results SPEAKER Jim Wisnowski Jim Wisnowski is the cofounder of Adsurgo LLC and co-author of the book Design and Analysis of Experiments by Douglas Montgomery: A Supplement for using JMP. He has over 25 years of experience and currently provides training and consulting services to industry and government in Design of Experiments (DOE), Reliability Engineering, Data Visualization, Predictive Analytics, and Text Mining. Dr. Wisnowski has been an invited speaker on applicability of statistics for national and international conferences. Prior to his current position, he was a senior program manager for URS, Chief of the Statistics Division in the Mathematics Department at the Air Force Academy, and a retired military officer. He is currently a member of the editorial board of Quality Engineering and has published numerous international refereed journal articles on statistics. Jim has a PhD in Industrial Engineering from Arizona State University. Please contact the event manager Marilyn (marilyn.b.turner@nyeventslist.com ) below for:- Multiple participant discounts- Price quotations or visa invitation letters- Payment by alternate channels (PayPal, check, Western Union, wire transfers etc)- Event sponsorship NO REFUNDS ALLOWED ON REGISTRATIONSPrices may go up any time. Service fees included in pricing.-----------------------------------------------------------------This event is brought to you by: NetZealous LLC - NewYorkEventsListhttp://www.NyEventsList.comhttp://www.BostonEventsList.comhttp://www.SFBayEventsList.com----------------------------------------------------------------- VIO180208CEV MYL180330UPD ROX180509TFR MYL180511UPD MYL180615CHK MYL180722UPD MYL180920UPR

When: Nov 5, 2018 9am in Revere, MA

Course "Applied Statistics for Scientists and Engineers" has been pre-approved by RAPS as eligible for up to 12 credits towards a participant's RAC recertification upon full completion.Description:Throughout 21 CFR and guidance documents for the pharmaceutical, biopharmaceutical, and medical device industries, the application of statistical methods are specified for: setting validation criteria and specifications, performing measurement systems analysis (MSA), conducting stability analysis, using design of experiment (DOE) for process development and validation, developing process control charts, and determining process capability indices.Different statistical methods are required for each of these particular applications. Data and tolerance intervals are common tools used for setting acceptance criteria and specifications. Simple linear regression and analysis-of-covariance (ANCOVA) are used for setting expiries and conducting stability analysis studies. Two-sample hypothesis tests, analysis-of-variance (ANOVA), regression, and ANCOVA are methods used for analyzing designed experiment for process development and validation studies. Descriptive statistics (distribution, summary statistics), run charts, and probability (distributions) are used for developing process control charts and developing process capability indices.This course provides instruction on how to apply the appropriate statistical approaches: descriptive statistics, data intervals, hypothesis testing, ANOVA, regression, ANCOVA, and model building. Once competence in each of these areas is established, industry-specific applications are presented for the participants.________________________________________Why should you attend:21 CFR and guidance documents for the pharmaceutical, biopharmaceutical, and medical device industries specify the application of statistical methods across the product quality lifecycle.According to the Quality System Regulation (QSR) for medical devices, "Where appropriate, each manufacturer shall establish and maintain procedures for identifying valid statistical techniques required for establishing, controlling, verifying the acceptability of process capability and product characteristics." Although there are many statistical method that may be applied to satisfy this portion of the QSR, there are some commonly accepted methods that all companies can and should be using to develop acceptance criteria, to ensure accurate and precise measurement systems, to fully characterize manufacturing processes, to monitor and control process results and to select an appropriate number of samples.According to both 21 CFR and guidance documents, the need for statistical methods is well established from discovery through product discontinuation. 21 CFR specifies the "the application of suitable statistical procedures" to establish both in-process and final specifications. The guidance documents necessitate the application of statistical methods for development and validation of measurement systems, process understanding using Quality by Design (QbD) principles, process validation, as well as ensuring the manufacturing process is in control and is capable.This course provides instruction statistical methods for data analysis of applications related to the pharmaceutical, biopharmaceutical, and medical device industries.________________________________________Areas Covered in the Session:Objectives:• describe and analyze the distribution of data• develop summary statistics• generate and analyze statistical intervals and hypothesis tests to make data-driven decisions• describe the relationship between and among two or more factors or responses• understand issues related to sampling and calculate appropriate sample sizes• use statistical intervals to setting specifications/develop acceptance criteria• use Measurement Systems Analysis (MSA) to estimate variance associated with: repeatability, intermediate precision, and reproducibility• ensure your process is in (statistical) control and capableWho Will Benefit:This seminar is designed for pharmaceutical, biopharmaceutical, and medical device professionals who are involved with product and/or process design:• Process Scientist/Engineer• Design Engineer• Product Development Engineer• Regulatory/Compliance Professional• Design Controls Engineer• Six Sigma Green Belt• Six Sigma Black Belt• Continuous Improvement ManagerAgenda:Day 1 Schedule________________________________________Lecture 1:Basic Statistics• sample versus population• descriptive statistics• describing a distribution of values________________________________________Lecture 2:Intervals• confidence intervals• prediction intervals• tolerance intervals________________________________________Lecture 3:Hypothesis Testing• introducing hypothesis testing• performing means tests• performing normality tests and making non-normal data normal________________________________________Lecture 4:ANOVA• defining analysis of variance and other terminology• discussing assumptions and interpretation• interpreting hypothesis statements for ANOVA• performing one-way ANOVA• performing two-way ANOVADay 2 Schedule________________________________________Lecture 1:Regression and ANCOVA• producing scatterplots and performing correlation• performing simple linear regression• performing multiple linear regression• performing ANCOVA• using model diagnostics________________________________________Lecture 2:Applied Statistics• setting specifications• Measurement Systems Analysis (MSA) for assays• stability analysis• introduction to design of experiments (DOE)• process control and capability• presenting resultsSpeaker:Jim WisnowskiJim Wisnowski is the cofounder of Adsurgo LLC and co-author of the book Design and Analysis of Experiments by Douglas Montgomery: A Supplement for using JMP. He has over 25 years of experience and currently provides training and consulting services to industry and government in Design of Experiments (DOE), Reliability Engineering, Data Visualization, Predictive Analytics, and Text Mining. Dr. Wisnowski has been an invited speaker on applicability of statistics for national and international conferences. Prior to his current position, he was a senior program manager for URS, Chief of the Statistics Division in the Mathematics Department at the Air Force Academy, and a retired military officer. He is currently a member of the editorial board of Quality Engineering and has published numerous international refereed journal articles on statistics. Jim has a PhD in Industrial Engineering from Arizona State University.Location: Boston, MA Date: November 5th & 6th, 2018 and Time: 9AM to 6PMVenue: Four Points by Sheraton Boston Logan Airport Revere, MA 407 Squire Rd, Revere, MA 02151, United States Price:Price: $1,295.00 (Seminar Fee for One Delegate) Register for 5 attendees Price: $3,885.00 $6,475.00 You Save: $2,590.00 (40%)* Register for 10 attendees Price: $7,122.00 $12,950.00 You Save: $5,828.00 (45%)* Register now and save $200. (Early Bird) Until September 20, Early Bird Price: $1,295.00 From September 21 to November 03, Regular Price: $1,495.00 Sponsorship Program benefits for seminarFor More Information- https://www.globalcompliancepanel.com/control/sponsorship Contact us today!NetZealous LLC DBA GlobalCompliancePaneljohn.robinson@globalcompliancepanel.comToll free: +1-800-447-9407Phone: +1-510-584-9661 Website: http://www.globalcompliancepanel.com Registration Link - https://www.globalcompliancepanel.com/control/globalseminars/~product_id=901627SEMINAR?seoFollow us on LinkedIn: https://www.linkedin.com/company/globalcompliancepanel/ Like us our Facebook page: https://www.facebook.com/TrainingsAtGlobalCompliancePanel/ Follow us on Twitter: https://twitter.com/GCPanel

When: Nov 5, 2018 9am to Nov 5, 2018 6pm in Revere, MA
Cost: Price: $1,495.00 (Seminar Fee for One Delegate)https://www.globalcompliancepanel.com/control/globalseminars/~product_id=901627SEMINAR?eventful-nov-seo

When: Nov 9, 2018 8:30PM in Revere, MA