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Stadiums Are Embracing Face Recognition. Privacy Advocates Say They Should Stick to Sports[1] Facial recognition technology is being increasingly adopted by major sports leagues like the MLB and NFL to streamline fan entry and enhance security. However, this trend has sparked concerns among privacy advocates who argue that the technology poses significant risks to individual privacy. Supporters of facial recognition argue that it offers several benefits, such as reducing wait times at stadium entrances and improving security measures. Facial recognition allows fans to opt for express entry lanes, often bypassing longer queues. Additionally, the technology can aid in identifying potential security threats and facilitating faster entry for authorized personnel. On the other hand, critics raise concerns about law enforcement agencies’ potential misuse of facial recognition data. They argue that the technology could track individuals’ movements, monitor their activities, and even identify protesters or dissidents. Furthermore, there are concerns about the accuracy of facial recognition systems, which can lead to false positives and wrongful identifications. While some teams and leagues have implemented strict privacy measures and obtained explicit consent from fans, others have been criticized for their lack of transparency and potential overreach. Facial recognition in sports raises broader questions about the balance between security, convenience, and individual privacy rights. As this technology continues to evolve, it is crucial to have open discussions and establish robust regulations to safeguard against potential abuses. Using LINDDUN, find why we can consider that the current procedure could threaten the users, considering Identifiability, Detectability, and Unawareness. Explain where the threat is found in the previous article, and justify why it could be regarded as a threat.   [1] Based on the WIRED article: https://www.wired.com/story/face-recognition-stadiums-protest/    Rubric threat Description Points 2. Justification of Threats (12 points)           Provides clear and logical justifications for why the selected privacy threats apply to the described facial recognition system. Justifications should reference key aspects of the event (e.g., surveillance use, data collection, and third-party involvement).   12 points: Thorough and well-reasoned justification for both threats, referencing event specifics. 3-11 points: Adequate justification, but may lack depth or specificity in some areas. 0-3 points: Weak or missing justification or the justification does not clearly relate to the event context. 3. Understanding of LINDDUN Categories (11 points)   Demonstrates a clear understanding of the LINDDUN framework by correctly applying the privacy threats to the relevant categories.   11 points: All threats are accurately classified within the LINDDUN framework. 4-10 points: Most threats are correctly classified but with minor errors. 0-3 points: Significant errors in classification or misunderstanding of the framework.   4. Clarity and Organization of Response (2 points) The answer is clearly written, well-organized, and easy to follow. The students present their ideas using proper language and logical flow.   2 points: The answer is clear, well-structured, and free of ambiguity. 1 point: The answer is mostly clear, with some minor issues in organization or clarity. 0 points: The answer is unclear, disorganized, or hard to follow.      

What is the energy of a photon with a wavelength of 245 nm?   h = 6.626×-34 J∙s and c = 3.00×108 m∙s–1

What is the energy of a photon with a wavelength of 245 nm?   h = 6.626×-34 J∙s and c = 3.00×108 m∙s–1

Please briefly explain some considerations for the immersion technique for premature infants.

Please briefly explain some considerations for the immersion technique for premature infants.

Age is the most important consideration in determining solution strength and volume.

Give four (4) Taiwan tidbits.

Question 1B Prompt: A small software development company is bidding for a cloud-based service application for a first-time commercial customer. Company leaders are undecided whether an agile or prescriptive/structured methodology will help them best deliver value to the client and stakeholders in this situation. Question: Identify what tools or techniques you would use to estimate project resources, timelines and costs for this project and explain why these tools or techniques should be selected?   

Question 1C Prompt: A small software development company is bidding for a cloud-based service application for a first-time commercial customer. Company leaders are undecided whether an agile or prescriptive/structured methodology will help them best deliver value to the client and stakeholders in this situation. Question: Briefly describe three S M A R T key performance indicators (KPIs) that you would monitor, track and report to measure this project success.  Use the infrastructure KPI reference from Week 4 https://www.projectmanagement.com/wikis/345150/key-performance-indicators 

Question 2A Prompt: You will lead a project to implement a new customer relationship management (CRM) system for your mid-size company with commercial clients as external stakeholders. Your task is to highlight (in terse, bullet format)  these elements of your DRAFT detailed project plan: Question: Project Requirements Charter: Briefly discuss your intended measured operational value (MOV) to be created for your external stakeholders?  https://www.pmi.org/learning/library/mastering-project-requirements-assessing-good-5942