Embryonic stage alignment_tool
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This document describes an embryo stage alignment tool that compares gene expression and morphological features across species to align embryonic development stages between vertebrates. The tool uses ontologies, databases, and user input to generate distance matrices and heat maps showing commonalities. It aims to standardize stage terminology and help comparative biology by identifying conserved developmental processes. Future improvements include using a more detailed anatomical ontology and clustering analyses.
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Cost sheet. with basics and formats of sheetCost sheet. with basics and formats of sheetCost sheet. with basics and formats of sheetCost sheet. with basics and formats of sheetCost sheet. with basics and formats of sheetCost sheet. with basics and formats of sheetCost sheet. with basics and formats of sheetCost sheet. with basics and formats of sheetCost sheet. with basics and formats of sheetCost sheet. with basics and formats of sheetCost sheet. with basics and formats of sheetCost sheet. with basics and formats of sheetCost sheet. with basics and formats of sheetCost sheet. with basics and formats of sheetCost sheet. with basics and formats of sheet
New Income Tax Bill - Capital Gains .pdf
New Income Tax Bill - Capital Gains .pdfHarshilShah134194
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The #IncomeTaxBill 2025 simplifies capital gains taxation by removing exemptions, restricting tax benefits to long-term gains, and limiting indexation. Here is our detailed analysis of the proposed changes.
International Journal on Cloud Computing: Services and Architecture (IJCCSA)
International Journal on Cloud Computing: Services and Architecture (IJCCSA)ijccsa
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Cloud computing helps enterprises transform business and technology. Companies have begun to
look for solutions that would help reduce their infrastructure costs and improve profitability. Cloud
computing is becoming a foundation for benefits well beyond IT cost savings. Yet, many business
leaders are concerned about cloud security, privacy, availability, and data protection. To discuss
and address these issues, we invite researches who focus on cloud computing to shed more light
on this emerging field. This peer-reviewed open access Journal aims to bring together researchers
and practitioners in all security aspects of cloud-centric and outsourced computing, including (but
not limited to):Data Privacy presentation for companies.pptx
Data Privacy presentation for companies.pptxharmardir
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**Data Privacy Presentation**
**Introduction**
In the digital age, data privacy has become a crucial topic for individuals and organizations. As technology advances, the amount of personal and sensitive data being collected, stored, and processed continues to grow. Protecting this data from unauthorized access, breaches, and misuse is essential to maintaining trust and compliance with legal requirements.
**What is Data Privacy?**
Data privacy refers to the protection of personal and sensitive information from unauthorized access, use, or disclosure. It involves ensuring that individuals have control over how their data is collected, shared, and used. Data privacy is a fundamental right and plays a critical role in cybersecurity.
**Why is Data Privacy Important?**
1. **Protecting Personal Information:** Safeguarding data such as financial records, health information, and personal identifiers prevents identity theft and fraud.
2. **Regulatory Compliance:** Governments and international bodies have implemented strict data protection laws, such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA), to ensure companies handle data responsibly.
3. **Maintaining Trust:** Organizations that prioritize data privacy build trust with their customers and stakeholders, enhancing their reputation and credibility.
4. **Preventing Cyber Threats:** Cybercriminals often target personal and corporate data for financial gain. Strong data privacy measures reduce the risk of data breaches and cyberattacks.
**Key Data Privacy Regulations**
- **General Data Protection Regulation (GDPR):** Enforced in the European Union, GDPR sets strict guidelines on data collection, processing, and storage. It grants individuals rights over their personal data and imposes hefty fines for non-compliance.
- **California Consumer Privacy Act (CCPA):** A U.S.-based regulation that provides California residents with rights to know, delete, and opt out of the sale of their personal data.
- **Health Insurance Portability and Accountability Act (HIPAA):** Protects sensitive health information in the U.S.
- **Personal Data Protection Act (PDPA):** Enforces data protection measures in countries like Singapore.
**Challenges in Data Privacy**
1. **Growing Volume of Data:** With the rise of big data and cloud storage, managing and securing vast amounts of information is challenging.
2. **Evolving Cyber Threats:** Hackers continuously develop new methods to exploit vulnerabilities, making data security a constant battle.
3. **Lack of Awareness:** Many users and employees are unaware of best practices for protecting their data, leading to unintentional breaches.
4. **Compliance Complexity:** Different regulations across regions create difficulties for multinational organizations in ensuring full compliance.
**Best Practices for Data Privacy**
- **Data Encryption:** Encrypt sensitive information to protect it from unauthorized access.
- **Strong Authenti
2025-03-03-Philly-AAAI-GoodData-Build Secure RAG Apps With Open LLM
2025-03-03-Philly-AAAI-GoodData-Build Secure RAG Apps With Open LLMTimothy Spann
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2025-03-03-Philly-AAAI-GoodData-Build Secure RAG Apps With Open LLM
https://aaai.org/conference/aaai/aaai-25/workshop-list/#ws14Embryonic stage alignment_tool
- 1. Embryo Stage Alignment Tool
- 2. Background Multiple stage alignment papers (Comparative transcriptomics) Ontology (tracks the hierarchy and progression of expression) XenoBase, Zfa, Mouse Atlas Project SES stages are supposed to be used to standardize nomenclature across vertebrate Stage Alignment helps comparative biology In hourglass project will help determine clusters of stages more defined than early, middle, late
- 3. Current Tool Pipeline Distance matrix Ontology Databases (Xenobase, Zfa) Manual Embryological Stages Entry Outside/User Input Secondary Gene Expression Data Stage Alignment Based on user inputted aspects Heat Maps Ontological Analysis Generates common features list using interspecific mappings , outputs absence presence matrix Distance Algorithm User Input Filtering algorithm, filters based on what user wants to be included in analysis
- 4. Using common OGGs (Euclidean correlation across stages) Using SES text mining matrices (Euclidean correlation across stages) Using common 144 features (Euclidean correlation across stages)
- 5. Future Directions Uberon lacks a lot of mapping (for lower level characters) Zfa: 345 listings Mmus: 415 listings Xenopus: 2245 listings Bugs and assumptions made Need to used anatomical reference ontology Uberon not ideal for matching anatomical parts K-means clustering Like-wise comparisons reveals a lack of specific features The ends are disrupted.