The document provides information on NPDES permitting requirements for pesticide application in Georgia. It explains that operators applying above thresholds must submit a Notice of Intent to be covered under the Pesticide General Permit. It provides details on calculating acreage sprayed and record keeping requirements, including developing Pesticide Discharge Management Plans, maintaining records of applications and equipment, filing reports of any adverse incidents, and compiling biennial reports. Contact information is also included for the Georgia Environmental Protection Division NPDES coordinator and an NPDES update email list.
ICABR presentation falck zepeda et al june 2016 abrevjfalck
“Developing Efficient Regulations: Implications of the Cost of Compliance and Regulatory Delays for Genome Editing Techniques (GETs)” Jose Falck-Zepeda, Patricia Zambrano, David Spielman, Mark Rosegrant and Judy Chambers
Environment and Production Technology Division, IFPRI.
Paper presented at the 20th ICABR CONFERENCE TRANSFORMING THE BIOECONOMY: BEHAVIOR, INNOVATION AND SCIENCE; , Ravello (Amalfi Coast – Italy), June 26–29, 2016; Oscar Niemeyer Auditorium
The Nuclear Biological Chemical Reconnaissance Vehicle (NBCRV) is a Stryker vehicle configuration that performs nuclear, biological, and chemical (NBC) reconnaissance on the battlefield. It locates, identifies, marks, samples, and reports NBC contamination through a variety of detection mechanisms, including a mass spectrometer, chemical agent detector, biological-sampling equipment, and radiac set. The NBCRV automatically integrates contamination information from its detectors and provides reports and sample collection through the vehicle's command and control equipment. The program was approved in December 2011 and involves technology development, operations and support, production and deployment, engineering and manufacturing development, and maintenance activities.
Domselaar GMI8 Beijing Canadian WGS Surveillance ExperienceIRIDA_community
This document summarizes Canada's experience using whole genome sequencing (WGS) data for bacterial pathogen surveillance. It describes Canada's current enteric disease surveillance program and some early WGS applications for outbreak investigations. It then outlines Canada's genomic epidemiology roadmap, including retrospective and prospective pilot projects to generate baseline WGS data. Implementation of WGS for real-time outbreak response is discussed. The document acknowledges contributions from various Canadian public health and academic collaborators involved in developing genomic surveillance capabilities.
This document summarizes new EPA requirements for obtaining NPDES permits for pesticide applications made to U.S. waters under the Clean Water Act. It notes that EPA has never before required permits for pesticide use regulated under FIFRA. It outlines the permit application process and monitoring, record-keeping, and reporting requirements Georgia mosquito control programs will need to comply with. It also discusses legislative efforts to obtain a regulatory fix exempting public health pesticide applications from needing an NPDES permit.
The Global Eradication and Response Database (GERDA) summarises incursion response and eradication programmes from around the world. The purpose of GERDA is to determine which characteristics lead to the success or failure of eradication programmes.
The document discusses a Chemical, Biological, Radiological/Nuclear, and Explosive (CBRNE) - Enhanced Response Force (CERF). CERF provides specialized response capabilities to incidents involving chemical, biological, radiological, nuclear, or high-yield explosive weapons. It aims to protect lives, property, and the environment from CBRNE incidents through specialized response capabilities.
The National Guard CBRNE Enhanced Force Package (NGCERFP) is a high priority WMD response unit composed of full-time Army and Air National Guard personnel and several hundred part-time Joint personnel. They support civil authorities by responding to all hazard incidents, with an emphasis on CBRNE/WMD terrorism. CERFPs locate and extract victims from contaminated environments, perform mass decontamination and patient treatment to stabilize victims for evacuation. CERFPs are composed of existing National Guard units specially trained to respond to weapons of mass destruction incidents within six hours of notification.
The document provides information on NPDES permitting requirements for pesticide application in Georgia. It explains that operators applying above thresholds must submit a Notice of Intent to be covered under the Pesticide General Permit. It provides details on calculating acreage sprayed and record keeping requirements, including developing Pesticide Discharge Management Plans, maintaining records of applications and equipment, filing reports of any adverse incidents, and compiling biennial reports. Contact information is also included for the Georgia Environmental Protection Division NPDES coordinator and an NPDES update email list.
ICABR presentation falck zepeda et al june 2016 abrevjfalck
“Developing Efficient Regulations: Implications of the Cost of Compliance and Regulatory Delays for Genome Editing Techniques (GETs)” Jose Falck-Zepeda, Patricia Zambrano, David Spielman, Mark Rosegrant and Judy Chambers
Environment and Production Technology Division, IFPRI.
Paper presented at the 20th ICABR CONFERENCE TRANSFORMING THE BIOECONOMY: BEHAVIOR, INNOVATION AND SCIENCE; , Ravello (Amalfi Coast – Italy), June 26–29, 2016; Oscar Niemeyer Auditorium
The Nuclear Biological Chemical Reconnaissance Vehicle (NBCRV) is a Stryker vehicle configuration that performs nuclear, biological, and chemical (NBC) reconnaissance on the battlefield. It locates, identifies, marks, samples, and reports NBC contamination through a variety of detection mechanisms, including a mass spectrometer, chemical agent detector, biological-sampling equipment, and radiac set. The NBCRV automatically integrates contamination information from its detectors and provides reports and sample collection through the vehicle's command and control equipment. The program was approved in December 2011 and involves technology development, operations and support, production and deployment, engineering and manufacturing development, and maintenance activities.
Domselaar GMI8 Beijing Canadian WGS Surveillance ExperienceIRIDA_community
This document summarizes Canada's experience using whole genome sequencing (WGS) data for bacterial pathogen surveillance. It describes Canada's current enteric disease surveillance program and some early WGS applications for outbreak investigations. It then outlines Canada's genomic epidemiology roadmap, including retrospective and prospective pilot projects to generate baseline WGS data. Implementation of WGS for real-time outbreak response is discussed. The document acknowledges contributions from various Canadian public health and academic collaborators involved in developing genomic surveillance capabilities.
This document summarizes new EPA requirements for obtaining NPDES permits for pesticide applications made to U.S. waters under the Clean Water Act. It notes that EPA has never before required permits for pesticide use regulated under FIFRA. It outlines the permit application process and monitoring, record-keeping, and reporting requirements Georgia mosquito control programs will need to comply with. It also discusses legislative efforts to obtain a regulatory fix exempting public health pesticide applications from needing an NPDES permit.
The Global Eradication and Response Database (GERDA) summarises incursion response and eradication programmes from around the world. The purpose of GERDA is to determine which characteristics lead to the success or failure of eradication programmes.
The document discusses a Chemical, Biological, Radiological/Nuclear, and Explosive (CBRNE) - Enhanced Response Force (CERF). CERF provides specialized response capabilities to incidents involving chemical, biological, radiological, nuclear, or high-yield explosive weapons. It aims to protect lives, property, and the environment from CBRNE incidents through specialized response capabilities.
The National Guard CBRNE Enhanced Force Package (NGCERFP) is a high priority WMD response unit composed of full-time Army and Air National Guard personnel and several hundred part-time Joint personnel. They support civil authorities by responding to all hazard incidents, with an emphasis on CBRNE/WMD terrorism. CERFPs locate and extract victims from contaminated environments, perform mass decontamination and patient treatment to stabilize victims for evacuation. CERFPs are composed of existing National Guard units specially trained to respond to weapons of mass destruction incidents within six hours of notification.
This document outlines a proposal for a 6-month, $150,000 project to develop concepts of operations (CONOPS) for a Regional Environmental Biothreat Detection Network (REDBIONET). The network would integrate existing biodefense sensing systems and new diagnostic tools to enable early detection of biothreats through wildlife monitoring. Key components include adapting the RODS predictive system and integrating it with GITI's knowledge management tools. The proposal also describes integrating rapid diagnostic technologies, evaluating sensor placement options, and demonstrating a field-ready prototype to identify and respond to biothreats. Personnel are identified with relevant experience in pattern recognition, bioinformatics, and emergency response networks.
A mobile application was developed to provide farmers information on pest and disease problems affecting crops. The application was built on an Android platform using a multi-tier architecture including a client interface layer, web service layer, server application layer, and database layer. It was tested using data on maize crops and provided detailed information and images on diseases, pests, weeds and other issues as well as lists of resistant varieties. The goal was to help reduce crop losses by improving information access for farmers.
A Deep Dive into Secure Product Development Frameworks.pdfICS
We tackle the question of what is a SPDF for medical device cybersecurity. We look to provide actionable advice that clarifies implementation, and you can apply in your day-to-day tasks.
Astek Diagnostics is developing the Jiddu system, a rapid diagnostic test that can confirm bacterial infections and assess antibiotic sensitivity in urine, CSF, effluent, and blood samples in 1 hour. The company has completed over 400 urine-based tests with high accuracy. Its vision is for Jiddu to help address the growing problem of antibiotic resistance by providing fast, accurate, and easy-to-use diagnostics to guide treatment decisions. Astek is currently validating Jiddu for urine samples and has proof-of-concept data for other sample types. It expects FDA approval in 2025 and plans commercialization through distribution partners while retaining a focus on research and expanding the platform.
The project aims to develop an autonomous robot to monitor air quality and radiation levels on a university campus. It will move indoors and outdoors, measuring pollution using various sensors. Data will be sent wirelessly to a monitoring station where personnel can track air quality in real time. The robot is designed to improve safety, lower monitoring costs, and increase awareness of air pollution issues. A team of students will complete the work over several packages, addressing hardware, software, testing and other components over a period of months.
Cyber security is not safety.
I've updated a talk I gave in 2010 to include the latest FDA guidance on mobile devices and cyber security. But really nothing has changed since then. Medical device vendors are still grappling with the notion that cyber security involves a complex, interconnected, rapidly changing landscape of vulnerabilities, threats, zero-day exploits, software security issues that does not fit the slow-moving pre-market approval and static risk analysis that FDA uses for safety.
In this presentation we show how to use a practical threat analysis methodology and present real-life examples of how to build a prioritized, cost-effective security countermeasure plan.
So - guess what? Safety is not cyber security!
Managing cyber security for medical devices is a challenge for medical device vendors and regulatory consultants who are accustomed to estimating patient safety risk without having to explain and understand a complex, rapidly changing and interconnected environment of vulnerabilities, attackers, attacker entry points and zero-day threats.
In this updated version of a talk I gave 5 years ago - I show how to use threat modeling in order to provide a prioritized security countermeasure plan that will cost the medical device vendor the least amount of money and save him the grief of trying to deal with cyber threats in his safety risk analysis.
AMxTek provides medical device product development and regulatory consulting services to help companies address the major healthcare burden of hospital acquired infections. Jim Walls, the president of AMxTek, has over 25 years of experience developing antimicrobial medical devices and navigating FDA regulatory processes. AMxTek's consulting services include managing product development programs, sourcing antimicrobial technologies, assisting with FDA submissions and regulatory strategies, and providing guidance on clinical studies and regulatory pathways.
Positive id PositiveID Corporation (OTCBB:PSID) Conference PresentationInvestorideas.com
PositiveID Corporation (OTCBB:PSID) develops unique medical devices and molecular diagnostic systems, focused primarily on diabetes management, rapid medical testing and airborne bio-threat detection. Its wholly-owned subsidiary, MFS, is focused on the development of microfluidic systems for automated preparation of and performance of biological assays.
The document discusses why software testing is important. It notes that software today controls many safety critical systems and embedded devices. Software failures can have catastrophic consequences, costing lives and billions of dollars in losses. Testing aims to find faults early in the development process and prevent failures by verifying software meets requirements. The costs of inadequate testing are high, so testing is necessary to improve quality, reduce costs from bugs, and ensure customer satisfaction.
IRJET- Analysis of Predicting Diseases for Smart CropingIRJET Journal
The document proposes a smart farming system using IoT and image processing techniques to detect crop diseases early and predict diseases. It involves using a camera and Raspberry Pi to capture and process images of crop leaves to identify diseases by comparing to a database of images. The system would analyze image data in the cloud to detect and predict diseases and provide farmers with information to prevent crop losses.
Smart Wearable System For Patients With Respiratory DisordersUsing IOTIRJET Journal
This document describes a smart wearable system for patients with respiratory disorders using IoT. The system monitors patients' vital signs like heart rate, temperature, blood oxygen levels, etc. using sensors. It sends this data to the cloud for analysis and alerts doctors if thresholds are exceeded. An Android app allows doctors to monitor patients remotely and receive emergency notifications. The system aims to help manage respiratory conditions and detect exacerbations early through continuous remote monitoring.
Covid 19 Prediction in India using Machine LearningYogeshIJTSRD
Various computational models are used around the world to predict the number of infected individuals and the death rate of the COVID 19 outbreak 3 . Machine learning based models are important to take proper actions. Due to the ample of uncertainty and crucial data, the aerodynamic models have been challenged regarding higher accuracy for long term prediction of this disease 1 . By researching the COVID19 problem, it is observed that lockdown and isolation are important techniques for preventing the spread of COVID 19 2 . In India, public health and the economical condition are impacted by COVID 19, our goal is to visualize the spread of this disease 5 . Machine Learning Algorithms are used in various applications for detecting adverse risk factors. Three ML algorithms we are using that is Logistic Regression LR , Support Vector Machine SVM , and Random Forest Classifier RFC . These machine learning models are predicting the total number of recovered patients as per the date of each state in India 8 . Sarfraj Alam | Vipul Kumar | Sweta Singh | Sweta Joshi | Madhu Kirola "Covid-19 Prediction in India using Machine Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | International Conference on Advances in Engineering, Science and Technology - 2021 , May 2021, URL: https://www.ijtsrd.com/papers/ijtsrd42458.pdf Paper URL : https://www.ijtsrd.com/engineering/computer-engineering/42458/covid19-prediction-in-india-using-machine-learning/sarfraj-alam
This document outlines a proposal for a 6-month, $150,000 project to develop concepts of operations (CONOPS) for a Regional Environmental Biothreat Detection Network (REDBIONET). The network would integrate existing biodefense sensing systems and new diagnostic tools to enable early detection of biothreats through wildlife monitoring. Key components include adapting the RODS predictive system and integrating it with GITI's knowledge management tools. The proposal also describes integrating rapid diagnostic technologies, evaluating sensor placement options, and demonstrating a field-ready prototype to identify and respond to biothreats. Personnel are identified with relevant experience in pattern recognition, bioinformatics, and emergency response networks.
A mobile application was developed to provide farmers information on pest and disease problems affecting crops. The application was built on an Android platform using a multi-tier architecture including a client interface layer, web service layer, server application layer, and database layer. It was tested using data on maize crops and provided detailed information and images on diseases, pests, weeds and other issues as well as lists of resistant varieties. The goal was to help reduce crop losses by improving information access for farmers.
A Deep Dive into Secure Product Development Frameworks.pdfICS
We tackle the question of what is a SPDF for medical device cybersecurity. We look to provide actionable advice that clarifies implementation, and you can apply in your day-to-day tasks.
Astek Diagnostics is developing the Jiddu system, a rapid diagnostic test that can confirm bacterial infections and assess antibiotic sensitivity in urine, CSF, effluent, and blood samples in 1 hour. The company has completed over 400 urine-based tests with high accuracy. Its vision is for Jiddu to help address the growing problem of antibiotic resistance by providing fast, accurate, and easy-to-use diagnostics to guide treatment decisions. Astek is currently validating Jiddu for urine samples and has proof-of-concept data for other sample types. It expects FDA approval in 2025 and plans commercialization through distribution partners while retaining a focus on research and expanding the platform.
The project aims to develop an autonomous robot to monitor air quality and radiation levels on a university campus. It will move indoors and outdoors, measuring pollution using various sensors. Data will be sent wirelessly to a monitoring station where personnel can track air quality in real time. The robot is designed to improve safety, lower monitoring costs, and increase awareness of air pollution issues. A team of students will complete the work over several packages, addressing hardware, software, testing and other components over a period of months.
Cyber security is not safety.
I've updated a talk I gave in 2010 to include the latest FDA guidance on mobile devices and cyber security. But really nothing has changed since then. Medical device vendors are still grappling with the notion that cyber security involves a complex, interconnected, rapidly changing landscape of vulnerabilities, threats, zero-day exploits, software security issues that does not fit the slow-moving pre-market approval and static risk analysis that FDA uses for safety.
In this presentation we show how to use a practical threat analysis methodology and present real-life examples of how to build a prioritized, cost-effective security countermeasure plan.
So - guess what? Safety is not cyber security!
Managing cyber security for medical devices is a challenge for medical device vendors and regulatory consultants who are accustomed to estimating patient safety risk without having to explain and understand a complex, rapidly changing and interconnected environment of vulnerabilities, attackers, attacker entry points and zero-day threats.
In this updated version of a talk I gave 5 years ago - I show how to use threat modeling in order to provide a prioritized security countermeasure plan that will cost the medical device vendor the least amount of money and save him the grief of trying to deal with cyber threats in his safety risk analysis.
AMxTek provides medical device product development and regulatory consulting services to help companies address the major healthcare burden of hospital acquired infections. Jim Walls, the president of AMxTek, has over 25 years of experience developing antimicrobial medical devices and navigating FDA regulatory processes. AMxTek's consulting services include managing product development programs, sourcing antimicrobial technologies, assisting with FDA submissions and regulatory strategies, and providing guidance on clinical studies and regulatory pathways.
Positive id PositiveID Corporation (OTCBB:PSID) Conference PresentationInvestorideas.com
PositiveID Corporation (OTCBB:PSID) develops unique medical devices and molecular diagnostic systems, focused primarily on diabetes management, rapid medical testing and airborne bio-threat detection. Its wholly-owned subsidiary, MFS, is focused on the development of microfluidic systems for automated preparation of and performance of biological assays.
The document discusses why software testing is important. It notes that software today controls many safety critical systems and embedded devices. Software failures can have catastrophic consequences, costing lives and billions of dollars in losses. Testing aims to find faults early in the development process and prevent failures by verifying software meets requirements. The costs of inadequate testing are high, so testing is necessary to improve quality, reduce costs from bugs, and ensure customer satisfaction.
IRJET- Analysis of Predicting Diseases for Smart CropingIRJET Journal
The document proposes a smart farming system using IoT and image processing techniques to detect crop diseases early and predict diseases. It involves using a camera and Raspberry Pi to capture and process images of crop leaves to identify diseases by comparing to a database of images. The system would analyze image data in the cloud to detect and predict diseases and provide farmers with information to prevent crop losses.
Smart Wearable System For Patients With Respiratory DisordersUsing IOTIRJET Journal
This document describes a smart wearable system for patients with respiratory disorders using IoT. The system monitors patients' vital signs like heart rate, temperature, blood oxygen levels, etc. using sensors. It sends this data to the cloud for analysis and alerts doctors if thresholds are exceeded. An Android app allows doctors to monitor patients remotely and receive emergency notifications. The system aims to help manage respiratory conditions and detect exacerbations early through continuous remote monitoring.
Covid 19 Prediction in India using Machine LearningYogeshIJTSRD
Various computational models are used around the world to predict the number of infected individuals and the death rate of the COVID 19 outbreak 3 . Machine learning based models are important to take proper actions. Due to the ample of uncertainty and crucial data, the aerodynamic models have been challenged regarding higher accuracy for long term prediction of this disease 1 . By researching the COVID19 problem, it is observed that lockdown and isolation are important techniques for preventing the spread of COVID 19 2 . In India, public health and the economical condition are impacted by COVID 19, our goal is to visualize the spread of this disease 5 . Machine Learning Algorithms are used in various applications for detecting adverse risk factors. Three ML algorithms we are using that is Logistic Regression LR , Support Vector Machine SVM , and Random Forest Classifier RFC . These machine learning models are predicting the total number of recovered patients as per the date of each state in India 8 . Sarfraj Alam | Vipul Kumar | Sweta Singh | Sweta Joshi | Madhu Kirola "Covid-19 Prediction in India using Machine Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | International Conference on Advances in Engineering, Science and Technology - 2021 , May 2021, URL: https://www.ijtsrd.com/papers/ijtsrd42458.pdf Paper URL : https://www.ijtsrd.com/engineering/computer-engineering/42458/covid19-prediction-in-india-using-machine-learning/sarfraj-alam
2. Possible Threats
The number of countries pursuing an
offensive biological warfare program
continues to increase. The priority of
the Army's Biological Defense
Program is to limit the effects of
large area biological warfare attacks.
The BIDS is being designed by the
BIDS Team under the Soldier and
Biological Chemical Command of the
U.S. Army at Aberdeen Proving
Ground in Edgewood, Maryland. The
entire program is under the Program
Director for Biological Defense
Systems. The BIDS consists of 5
major subcomponents: (1) Vehicle,
(2) Shelter, (3) Auxiliary Equipment,
(4) Power, and (5) Biological
Detection Suite. Here, in Edgewood,
we have designed a system, made
up of various Biological Detection
equipment, that meets the Army's
demand. We are currently nearing
the end of Phase 1 of a two-phase
program. In the next phase, we will
be refining and automating what we
have already designed to ensure
optimal performance.
6. INSIDE BIDS
BIDS Components
Improved Liquid Sampler and
Improved Biological Sampler
Ultraviolet Aerodynamic Particle
Sizer (UVAPS) Mini Flow
Cytometer (FCM). Biological
Detector (BD). Chemical
Biological Mass Spectrometer
(CBMS). Detection tickets (Hand-
held assay). Central Information
Processor (CIP) that will interface
with the FCM, UVAPS and BD
system. In addition to the
detection suite, the P3I BIDS will
use the following equipment:
Electronic Technical Manual on
notebook computer
Portable refrigerators (2 each).
TACMET Meteorological Sensor.
Communications: Harris, 400-
Watt Frequency-Single Side Band
Radio and SINCGARS AN/VRC 90,
Radio Set Adjustable operator's
chairs (2 each). HP Laser Printer.
Environmental Control Units
(18,000 BTUH Air Conditioner)
M93 Gas particulate filter unit.