StarCompliance is a leading firm specializing in the recovery of stolen cryptocurrency. Our comprehensive services are designed to assist individuals and organizations in navigating the complex process of fraud reporting, investigation, and fund recovery. We combine cutting-edge technology with expert legal support to provide a robust solution for victims of crypto theft.
Our Services Include:
Reporting to Tracking Authorities:
We immediately notify all relevant centralized exchanges (CEX), decentralized exchanges (DEX), and wallet providers about the stolen cryptocurrency. This ensures that the stolen assets are flagged as scam transactions, making it impossible for the thief to use them.
Assistance with Filing Police Reports:
We guide you through the process of filing a valid police report. Our support team provides detailed instructions on which police department to contact and helps you complete the necessary paperwork within the critical 72-hour window.
Launching the Refund Process:
Our team of experienced lawyers can initiate lawsuits on your behalf and represent you in various jurisdictions around the world. They work diligently to recover your stolen funds and ensure that justice is served.
At StarCompliance, we understand the urgency and stress involved in dealing with cryptocurrency theft. Our dedicated team works quickly and efficiently to provide you with the support and expertise needed to recover your assets. Trust us to be your partner in navigating the complexities of the crypto world and safeguarding your investments.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
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80%
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Country
Country
<Competitor> | ▼
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Last Wave
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10
80%
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<CLIENT>: 66%
<Competitor>: 77%
Funnel Metrics
Metric: Awareness | ▼
Click on Sport to
view Sport page
0% 20% 40% 60% 80% 100%
Top Competitor
Score
71.0% (Adidas)
71.3% (Rebook)
70.9% (Converse)
70.4% (Adidas)
70.1% (Competitor)
TOTAL 70.7%
71.3%
70.9%
70.4%
70.1%
69.9% 69.9% (Competitor)
Basketball
Running
Soccer
Athletic Training
Women’s Training
Key Metrics
Click on metric to view trend
This
Wave
Last
Wave
Diff
Master Brand Equity 71.0% 68.7% +1.3
Purchase Intent 70.3% 71.3% -1.0
Quality 70.3% 73.9% -3.6
Innovation 70.4% 70.4% 0.0
Attribute 70.1% 70.1% +8.5
Attribute 69.9% 69.9% +1.0
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Funnel Metrics
Teen
Young Young Adult
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Evangelist
Owners
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Nike<Sport> <Competitor>
11
Click on Country to
view Country page
0% 20% 40% 60% 80% 100%
Country:
Top Competitor
Score
71.0% (Adidas)
71.3% (Rebook)
70.9% (Converse)
70.4% (Adidas)
70.1% (Competitor)
TOTAL 70.7%
71.3%
70.9%
70.4%
70.1%
69.9% 69.9% (Competitor)
USA
UK
China
Japan
Country
Key Metrics
Sport:
Click on metric to view trend
This
Wave
Last
Wave
Diff
Master Brand Equity 71.0% 68.7% +1.3
Purchase Intent 70.3% 71.3% -1.0
Quality 70.3% 73.9% -3.6
Innovation 70.4% 70.4% 0.0
Attribute 70.1% 61.6% +8.5
Attribute 69.9% 68.9% +1.0
80%
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74% 72%
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Aware Ad Aware Consider Purchase Loyal
Brand Funnel
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Period Period Period Period Period Period Period Period
Nike Adidas Rebook Puma
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And1
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Trends | Current Path: [Worldwide] :: [COUNTRY]
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Period Period Period Period Period Period Period Period
Basketball Sport Sport Sport
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Sport
Sport
Sport
Sport
Sport
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Nike Adidas Rebook Puma
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CONFIDENTIAL DRAFT
Sales $1.1 B $1.2 B goal
Media Spend $1.1 M $1.0 M
Product Launches • Product
Brands, Countries, Sports, Key Metrics, Funnel Metrics
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Period Period Period Period Period Period Period Period Period Period Period Period
Nike Adidas Rebook Puma
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CONFIDENTIAL DRAFT
17. <CLIENT>
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Value
Hot Brand
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Innovation
High Performance
Worn by the best
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