The document provides formulas and equations for predicting various outcomes such as baseball success, optimal proposal age, child height, day of birth, baby's sex, energy consumption, loan amortization, BMI, BMR, caloric needs, distance between points on Earth, text readability, quarterback rating, appropriate home price, and timing of insurgent attacks. The formulas draw on variables like team stats, parent heights, age, dates, energy usage, loan terms, weight, height, word and sentence lengths, quarterback stats, age, and past attack patterns.
Grading SheetBudget ExpensesRequirements Answer each question ful.docxshericehewat
Grading SheetBudget ExpensesRequirements: Answer each question fully. Answers must be recorded on the worksheet. EXCEL FORMULAS MUST BE USED. Points PossiblePoints EarnedCommentsLocation identified2Travel Expenses identified and calculated for the entire group with an Excel formula14Lodging Expenses identified and calculated for the entire group with an Excel formula14Food Expenses identified and calculated for the entire group with an Excel formula14Entertainment Expenses identified and calculated for the entire group with an Excel formula14Total Budget2Question 1 total600LoansRequirements: Answer each question fully. Answers must be recorded on the worksheet. EXCEL FORMULAS MUST BE USED. Possible PointsPoints EarnedCommentsCalculations for both loans are correct21Explain in 25 to 100 words which loan is the best option and why.14Question 2 total350StatsRequirements: Answer each question fully. Answers must be recorded on the worksheet. EXCEL FORMULAS MUST BE USED. Points PossiblePoints EarnedCommentsMean, Median, Mode6Range, Minimum, Maximum3Standard Deviation4Frequency Distribution6Histogram6z-Score5Question 3 total300Worksheet 1Total for Worksheet 11250
Budget ExpensesLocationMiami BeachBudget Total: $8,094.24TransportationItemQtyPrice eachTotal priceSourceDescriptionnumbersNumber or NAFormulasLink or citationPlane Tickect roundtrip (Non stop Oneworld Airline)6$301$1,806Fright to MiamiUber Taxi (Airport to Resort Beach)2$38.64$77.28Uber taxi fairDaily town service (7 days)14$23.88$334.32Uber taxi town serviceUber Taxi (Resort Beach to Airport)2$38.64$77.28Uber taxi fair(Add rows as needed)LodgingItemQtyPrice eachTotal priceDescriptionnumbersNumber or NAFormulasLink or citationHotel logde ( 3 rooms: 2 adulst/room, $441/night for 7 days) Free breakfast1$3,087.00$3,087.00Autograph Collection Hotel(add rows as needed)Food ItemQtyPrice eachTotal priceDescriptionnumbersNumber or NAFormulasLink or citationGroceries ($11.57/day per person) for 7 days6$80.99$485.94GroceryFruits: Oranges ($1.62/day per person) for 7 days6$11.34$68.04Grocery(add rows as needed)Entertainment and Misc.ItemQtyPrice eachTotal priceNumbersnumbersNumber or NAFormulasLink or citationNorth Bay Village (Uber taxi) 2nd day3$29.52$88.56Uber taxi to North Bay VillageMarlins Tickets - 3rd day6$31.76$190.56Marlins TicketsMiami Dolphins Tickets - 4th day6$86.36$518.16Miami Dolphins TicketsMiami's famous Art Basel (Combined) - 5th day6$75.00$450.00Miami Art BaselMiami's cultural spot (Calle Ocho) - 6th day6$1.85$11.10Calle OchoMiscelleneous Expenses6$150.00$900.00(add rows as needed)
You are going on a dream vacation with five of your closest friends for a week. Since you are taking a math course, your friends asked you to come up with a budget to see how much it will cost each of you. Please identify your location in the US and then determine the total costs - remember to be thorough so the group does not run out of money. Your expense list must include the following (this mean ...
Module 1 SLP 1I collected the data on the time.docxannandleola
Module 1 SLP 1
I collected the data on the time it takes to cook meals each day. I have collected the data for 10 consecutive days. The independent variable in this study is the number ofday and the dependent variable is the meal cooking time. Each day, I would take the reading twice; once in the morning while we cook our lunch and once in the afternoon while we (myself and my wife) cook our dinner. We shall use a stopwatch to note the times. We shall start the stopwatch at the moment we start cooking the meals and stop it the moment when we finish cooking. Each time we shall note the reading in the stopwatch. At the end of the day, we shall add up the times that we have altogether spent cooking on that particular day. This will be our data for a single day. We shall continue this process for 10 consecutive days. At the end of the experiment, we shall have 10 observations or data points.
The time spent to cook meals each day can be considered as an independent event as the time spent to cook meals on a particular day is, in general, not affected by the time spent in cooking meals on some other day. We expect the data to be normally distributed with a mean and standard deviation of meal cooking times. As with normal distributions, we expect the distribution to resemble a bell-shaped curve. Arrival of guests in the house can significantly increase the meal cooking times and this can impart positive skewness in the data distribution. Likewise, eating outs during the weekends can significantly decrease the meal cooking times and this can impart negative skewness in the data distribution.
At the end of the experiment, we shall be able to calculate the experimental probability of spending a particular time in cooking meals on a day.
We need to increase the number of days from 10 to about 30 to 35 in order for the data to provide a valid representation of the time spent in cooking meals on a day. This is because 10 data points makes too small a sample size for any valid representation. We need to increase this sample size or the number of days of collecting the data, in order to make any valid inference based on the results of the experiment.
The assignment is to collect quantitative data for a minimum of 10 days from ONE of your daily activities. Some examples of data collection include:
· The number of minutes you spend studying every day.
· The time it takes to cook meals each day.
· The amount of daily time spent talking on the phone.
· The amount of time you drive each day.
In a paper (1–3 pages), describe the data you are going to collect and how you are going to keep track of the time. Within the paper, incorporate the concepts we are learning in the module including (but not limited to) probability theory, independent and dependent variables, and theoretical and experimental probability. Discuss your predictions of what you anticipate the data to look like and events that can skew the data. Collect data for at least 10 days. ...
109802003_Lefebvre-Production-of-Space-excerpts-1-2_1.pdf
TheProductionOfSpace0001.bmpTheProductionOfSpace0002.bmpTheProductionOfSpace0003.bmpTheProductionOfSpace0004.bmpTheProductionOfSpace0005.bmpTheProductionOfSpace0006.bmpTheProductionOfSpace0007.bmpTheProductionOfSpace0008.bmpTheProductionOfSpace0009.bmpTheProductionOfSpace0010.bmpTheProductionOfSpace0011.bmpTheProductionOfSpace0012.bmpTheProductionOfSpace0013.bmpTheProductionOfSpace0014.bmpTheProductionOfSpace0015.bmpTheProductionOfSpace0016.bmpTheProductionOfSpace0017.bmpTheProductionOfSpace0018.bmpTheProductionOfSpace0019.bmpTheProductionOfSpace0020.bmpTheProductionOfSpace0021.bmpTheProductionOfSpace0022.bmpTheProductionOfSpace0023.bmpTheProductionOfSpace0024.bmpTheProductionOfSpace0025.bmpTheProductionOfSpace0026.bmpTheProductionOfSpace0027.bmpTheProductionOfSpace0028.bmpTheProductionOfSpace0029.bmpTheProductionOfSpace0030.bmpTheProductionOfSpace0031.bmpTheProductionOfSpace0032.bmpTheProductionOfSpace0033.bmpTheProductionOfSpace0034.bmpTheProductionOfSpace0035.bmpTheProductionOfSpace0036.bmpTheProductionOfSpace0037.bmpTheProductionOfSpace0038.bmpTheProductionOfSpace0039.bmpTheProductionOfSpace0040.bmpTheProductionOfSpace0041.bmpTheProductionOfSpace0042.bmpTheProductionOfSpace0043.bmpTheProductionOfSpace0044.bmpTheProductionOfSpace0045.bmpTheProductionOfSpace0046.bmpTheProductionOfSpace0047.bmpTheProductionOfSpace0048.bmpTheProductionOfSpace0049.bmpTheProductionOfSpace0050.bmpTheProductionOfSpace0051.bmpTheProductionOfSpace0052.bmpTheProductionOfSpace0053.bmpTheProductionOfSpace0054.bmpTheProductionOfSpace0055.bmpTheProductionOfSpace0056.bmpTheProductionOfSpace0057.bmpTheProductionOfSpace0058.bmpTheProductionOfSpace0059.bmpTheProductionOfSpace0060.bmpTheProductionOfSpace0061.bmpTheProductionOfSpace0062.bmpTheProductionOfSpace0063.bmpTheProductionOfSpace0064.bmpTheProductionOfSpace0065.bmpTheProductionOfSpace0066.bmpTheProductionOfSpace0067.bmpTheProductionOfSpace0068.bmpTheProductionOfSpace0069.bmpTheProductionOfSpace0070.bmpTheProductionOfSpace0071.bmpTheProductionOfSpace0072.bmpTheProductionOfSpace0073.bmpTheProductionOfSpace0074.bmpTheProductionOfSpace0075.bmpTheProductionOfSpace0076.bmpTheProductionOfSpace0077.bmpTheProductionOfSpace0078.bmpTheProductionOfSpace0079.bmpTheProductionOfSpace0080.bmpTheProductionOfSpace0081.bmpTheProductionOfSpace0082.bmpTheProductionOfSpace0083.bmpTheProductionOfSpace0084.bmpTheProductionOfSpace0085.bmpTheProductionOfSpace0086.bmpTheProductionOfSpace0087.bmpTheProductionOfSpace0088.bmpTheProductionOfSpace0089.bmpTheProductionOfSpace0090.bmpTheProductionOfSpace0091.bmpTheProductionOfSpace0092.bmpTheProductionOfSpace0093.bmpTheProductionOfSpace0094.bmp
Cover Page
Student
James Johnson
Internal/Student ID
34697061
Account
Argosy University
Assessment Started
July 16, 2015 @ 2:00 PM CDT
Assessment Completed
July 16, 2015 @ 3:20 PM CDT
Assessment Summary
General Summary Learning Styles
You.
Grading SheetBudget ExpensesRequirements Answer each question ful.docxshericehewat
Grading SheetBudget ExpensesRequirements: Answer each question fully. Answers must be recorded on the worksheet. EXCEL FORMULAS MUST BE USED. Points PossiblePoints EarnedCommentsLocation identified2Travel Expenses identified and calculated for the entire group with an Excel formula14Lodging Expenses identified and calculated for the entire group with an Excel formula14Food Expenses identified and calculated for the entire group with an Excel formula14Entertainment Expenses identified and calculated for the entire group with an Excel formula14Total Budget2Question 1 total600LoansRequirements: Answer each question fully. Answers must be recorded on the worksheet. EXCEL FORMULAS MUST BE USED. Possible PointsPoints EarnedCommentsCalculations for both loans are correct21Explain in 25 to 100 words which loan is the best option and why.14Question 2 total350StatsRequirements: Answer each question fully. Answers must be recorded on the worksheet. EXCEL FORMULAS MUST BE USED. Points PossiblePoints EarnedCommentsMean, Median, Mode6Range, Minimum, Maximum3Standard Deviation4Frequency Distribution6Histogram6z-Score5Question 3 total300Worksheet 1Total for Worksheet 11250
Budget ExpensesLocationMiami BeachBudget Total: $8,094.24TransportationItemQtyPrice eachTotal priceSourceDescriptionnumbersNumber or NAFormulasLink or citationPlane Tickect roundtrip (Non stop Oneworld Airline)6$301$1,806Fright to MiamiUber Taxi (Airport to Resort Beach)2$38.64$77.28Uber taxi fairDaily town service (7 days)14$23.88$334.32Uber taxi town serviceUber Taxi (Resort Beach to Airport)2$38.64$77.28Uber taxi fair(Add rows as needed)LodgingItemQtyPrice eachTotal priceDescriptionnumbersNumber or NAFormulasLink or citationHotel logde ( 3 rooms: 2 adulst/room, $441/night for 7 days) Free breakfast1$3,087.00$3,087.00Autograph Collection Hotel(add rows as needed)Food ItemQtyPrice eachTotal priceDescriptionnumbersNumber or NAFormulasLink or citationGroceries ($11.57/day per person) for 7 days6$80.99$485.94GroceryFruits: Oranges ($1.62/day per person) for 7 days6$11.34$68.04Grocery(add rows as needed)Entertainment and Misc.ItemQtyPrice eachTotal priceNumbersnumbersNumber or NAFormulasLink or citationNorth Bay Village (Uber taxi) 2nd day3$29.52$88.56Uber taxi to North Bay VillageMarlins Tickets - 3rd day6$31.76$190.56Marlins TicketsMiami Dolphins Tickets - 4th day6$86.36$518.16Miami Dolphins TicketsMiami's famous Art Basel (Combined) - 5th day6$75.00$450.00Miami Art BaselMiami's cultural spot (Calle Ocho) - 6th day6$1.85$11.10Calle OchoMiscelleneous Expenses6$150.00$900.00(add rows as needed)
You are going on a dream vacation with five of your closest friends for a week. Since you are taking a math course, your friends asked you to come up with a budget to see how much it will cost each of you. Please identify your location in the US and then determine the total costs - remember to be thorough so the group does not run out of money. Your expense list must include the following (this mean ...
Module 1 SLP 1I collected the data on the time.docxannandleola
Module 1 SLP 1
I collected the data on the time it takes to cook meals each day. I have collected the data for 10 consecutive days. The independent variable in this study is the number ofday and the dependent variable is the meal cooking time. Each day, I would take the reading twice; once in the morning while we cook our lunch and once in the afternoon while we (myself and my wife) cook our dinner. We shall use a stopwatch to note the times. We shall start the stopwatch at the moment we start cooking the meals and stop it the moment when we finish cooking. Each time we shall note the reading in the stopwatch. At the end of the day, we shall add up the times that we have altogether spent cooking on that particular day. This will be our data for a single day. We shall continue this process for 10 consecutive days. At the end of the experiment, we shall have 10 observations or data points.
The time spent to cook meals each day can be considered as an independent event as the time spent to cook meals on a particular day is, in general, not affected by the time spent in cooking meals on some other day. We expect the data to be normally distributed with a mean and standard deviation of meal cooking times. As with normal distributions, we expect the distribution to resemble a bell-shaped curve. Arrival of guests in the house can significantly increase the meal cooking times and this can impart positive skewness in the data distribution. Likewise, eating outs during the weekends can significantly decrease the meal cooking times and this can impart negative skewness in the data distribution.
At the end of the experiment, we shall be able to calculate the experimental probability of spending a particular time in cooking meals on a day.
We need to increase the number of days from 10 to about 30 to 35 in order for the data to provide a valid representation of the time spent in cooking meals on a day. This is because 10 data points makes too small a sample size for any valid representation. We need to increase this sample size or the number of days of collecting the data, in order to make any valid inference based on the results of the experiment.
The assignment is to collect quantitative data for a minimum of 10 days from ONE of your daily activities. Some examples of data collection include:
· The number of minutes you spend studying every day.
· The time it takes to cook meals each day.
· The amount of daily time spent talking on the phone.
· The amount of time you drive each day.
In a paper (1–3 pages), describe the data you are going to collect and how you are going to keep track of the time. Within the paper, incorporate the concepts we are learning in the module including (but not limited to) probability theory, independent and dependent variables, and theoretical and experimental probability. Discuss your predictions of what you anticipate the data to look like and events that can skew the data. Collect data for at least 10 days. ...
109802003_Lefebvre-Production-of-Space-excerpts-1-2_1.pdf
TheProductionOfSpace0001.bmpTheProductionOfSpace0002.bmpTheProductionOfSpace0003.bmpTheProductionOfSpace0004.bmpTheProductionOfSpace0005.bmpTheProductionOfSpace0006.bmpTheProductionOfSpace0007.bmpTheProductionOfSpace0008.bmpTheProductionOfSpace0009.bmpTheProductionOfSpace0010.bmpTheProductionOfSpace0011.bmpTheProductionOfSpace0012.bmpTheProductionOfSpace0013.bmpTheProductionOfSpace0014.bmpTheProductionOfSpace0015.bmpTheProductionOfSpace0016.bmpTheProductionOfSpace0017.bmpTheProductionOfSpace0018.bmpTheProductionOfSpace0019.bmpTheProductionOfSpace0020.bmpTheProductionOfSpace0021.bmpTheProductionOfSpace0022.bmpTheProductionOfSpace0023.bmpTheProductionOfSpace0024.bmpTheProductionOfSpace0025.bmpTheProductionOfSpace0026.bmpTheProductionOfSpace0027.bmpTheProductionOfSpace0028.bmpTheProductionOfSpace0029.bmpTheProductionOfSpace0030.bmpTheProductionOfSpace0031.bmpTheProductionOfSpace0032.bmpTheProductionOfSpace0033.bmpTheProductionOfSpace0034.bmpTheProductionOfSpace0035.bmpTheProductionOfSpace0036.bmpTheProductionOfSpace0037.bmpTheProductionOfSpace0038.bmpTheProductionOfSpace0039.bmpTheProductionOfSpace0040.bmpTheProductionOfSpace0041.bmpTheProductionOfSpace0042.bmpTheProductionOfSpace0043.bmpTheProductionOfSpace0044.bmpTheProductionOfSpace0045.bmpTheProductionOfSpace0046.bmpTheProductionOfSpace0047.bmpTheProductionOfSpace0048.bmpTheProductionOfSpace0049.bmpTheProductionOfSpace0050.bmpTheProductionOfSpace0051.bmpTheProductionOfSpace0052.bmpTheProductionOfSpace0053.bmpTheProductionOfSpace0054.bmpTheProductionOfSpace0055.bmpTheProductionOfSpace0056.bmpTheProductionOfSpace0057.bmpTheProductionOfSpace0058.bmpTheProductionOfSpace0059.bmpTheProductionOfSpace0060.bmpTheProductionOfSpace0061.bmpTheProductionOfSpace0062.bmpTheProductionOfSpace0063.bmpTheProductionOfSpace0064.bmpTheProductionOfSpace0065.bmpTheProductionOfSpace0066.bmpTheProductionOfSpace0067.bmpTheProductionOfSpace0068.bmpTheProductionOfSpace0069.bmpTheProductionOfSpace0070.bmpTheProductionOfSpace0071.bmpTheProductionOfSpace0072.bmpTheProductionOfSpace0073.bmpTheProductionOfSpace0074.bmpTheProductionOfSpace0075.bmpTheProductionOfSpace0076.bmpTheProductionOfSpace0077.bmpTheProductionOfSpace0078.bmpTheProductionOfSpace0079.bmpTheProductionOfSpace0080.bmpTheProductionOfSpace0081.bmpTheProductionOfSpace0082.bmpTheProductionOfSpace0083.bmpTheProductionOfSpace0084.bmpTheProductionOfSpace0085.bmpTheProductionOfSpace0086.bmpTheProductionOfSpace0087.bmpTheProductionOfSpace0088.bmpTheProductionOfSpace0089.bmpTheProductionOfSpace0090.bmpTheProductionOfSpace0091.bmpTheProductionOfSpace0092.bmpTheProductionOfSpace0093.bmpTheProductionOfSpace0094.bmp
Cover Page
Student
James Johnson
Internal/Student ID
34697061
Account
Argosy University
Assessment Started
July 16, 2015 @ 2:00 PM CDT
Assessment Completed
July 16, 2015 @ 3:20 PM CDT
Assessment Summary
General Summary Learning Styles
You.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
2. Physicist Writes a Better Formula to Predict Baseball Success W1/L1 = (RPG1/RPG2)^a (SLG1/SLG2)^b where a = 0.723 (RPG1 + RPG2)^.373 and b = 0.977 (RPG1 + RPG2)^( -.947) Finds how the distribution of a team's runs can affect the team's winning percentage. http://www.sciencedaily.com/releases/2010/03/100301141852.htm
3. Predicting your Optimal Proposal Age http://www.dailymail.co.uk/news/article-1250250/Revealed-The-mathematical-formula-predicts-best-age-engaged.html
4. Predicting how tall your child will be FOR BOYS 1. Take each parent's height and add them together. If using the english system, total the number of inches. If using metric, add the centimeters together. 2. Divide that number by 2 3. Add 2.5 inches to that number if using the english system. Add 6.5 centimeters to the number if using metric. 4. This number is the midparental height for boys 5. This number plus or minus 4 inches (or plus/minus 10 centimeters) is the range in which you could expect your son to fall. FOR GIRLS 1. Take each parent's height and add them together. If using the english system, total the number of inches. If using metric, add the centimeters together. 2. Divide that number by 2 3. Subtract 2.5 inches to that number if using the english system Subtract 6.5 centimeters to the number if using metric 4. This number is the midparental height for girls 5. This number plus or minus 4 inches (or plus/minus 10 centimeters) is the range in which you could expect your daughter to fall. http://www.ivillage.com/predicting-how-tall-your-child-will-be/6-n-136625
5. Predicting Your Day Of Birth January, October = 0 Sunday = 0May = 1 Monday = 1August = 2 Tuesday = 2February, March, November = 3 Wednesday = 3June = 4 Thursday = 4September, December = 5 Friday = 5April, July = 6 Saturday = 61 - Drop the "19" in the year of birth 2- Divide this number by 4 and drop the remainder3- Add this answer to year of birth 4- Add the day of the month of birth to this total 5- From the first formula, add the value of the month 6- Divide this total by 7 7- Take this remainder (0) and apply this number to the number of days http://www.pedagonet.com/quickies/qki105.htm
6. Formula to find out baby’s sex Option #1: Age of the mother when she got pregnant + her month of birth + month of conception (normally 14 days after the first day of the menstrual period) = if result is odd it is a boy if it is even it is a girl. Option #2: Age of the mother + the month in which she got pregnant. If result is even it is a boy, if it is odd, girl. http://www.home-remedies-site.com/boy-or-girl.htm
7. Formula for Estimating Energy Consumption Wattage × Hours Used Per Day ÷ 1000 = Daily Kilowatt-hour (kWh) consumption Examples: Window fan: (200 Watts × 4 hours/day × 120 days/year) ÷ 1000= 96 kWh × 8.5 cents/kWh= $8.16/year Personal Computer and Monitor: (120 + 150 Watts × 4 hours/day × 365 days/year) ÷ 1000= 394 kWh × 8.5 cents/kWh= $33.51/year http://www.energysavers.gov/your_home/appliances/index.cfm/mytopic=10040
13. N = number of months over which loan is amortized = L x 12http://www.hughchou.org/calc/formula.html
14. How to find your Body Mass Index BMI = Weight in Pounds x 703 Height in inches x Height in inches
15. How to find your Basal Metabolic Rate Women: BMR = 655 + ( 4.35 x weight in pounds ) + ( 4.7 x height in inches ) - ( 4.7 x age in years ) Men: BMR = 66 + ( 6.23 x weight in pounds ) + ( 12.7 x height in inches ) - ( 6.8 x age in year ) http://www.bmi-calculator.net/bmr-calculator/bmr-formula.php
16. How to find your daily caloric needs http://www.bmi-calculator.net/bmr-calculator/harris-benedict-equation/
17. Formula to find the distance between two points on the Earth For any two points on a sphere: where haversin(θ) = sin2(θ/2) = (1−cos(θ))/2 d is the distance between the two points R is the radius of the sphere, φ1 is the latitude of point 1, φ2 is the latitude of point 2, and Δλ is the longitude separation, http://en.wikipedia.org/wiki/Haversine_formula
18. The Flesch Reading Ease Readability Formula RE = 206.835 – (1.015 x ASL) – (84.6 x ASW) RE = Readability Ease ASL = Average Sentence Length (i.e., the number of words divided by the number of sentences) ASW = Average number of syllables per word (i.e., the number of syllables divided by the number of words) The output, i.e., RE is a number ranging from 0 to 100. The higher the number, the easier the text is to read. • Scores between 90.0 and 100.0 are considered easily understandable by an average 5th grader.• Scores between 60.0 and 70.0 are considered easily understood by 8th and 9th graders.• Scores between 0.0 and 30.0 are considered easily understood by college graduates. http://www.readabilityformulas.com/flesch-reading-ease-readability-formula.php
19. Total Quarterback Rating http://espn.go.com/nfl/story/_/id/6835090/nfl-total-quarterback-rating-shifts-way-see-position
20. How much should you spend on a house? According to Garth Turner, The percentage P of one’s net worth a home should represent is equal to P = 90 – x, where x is one’s age http://virtualmathtutor.blogspot.com/2011/07/garth-turners-formula-of-percentage-of.html
21. When will insurgent attacks occur next? http://www.npr.org/2011/07/31/138639711/math-can-predict-insurgent-attacks-physicist-says