#Optivity

[eleventeenthealbum]

Converting to judaism is a wonderful thing for someone personally but I cannot get over converts being Zionists lmfao. So you are just a wanton colonizer taking whatever pleases you.

[cybersecnews]

Data Governance and Protection

[talking-theory-with-chatgpt]

Please provide a Gramscian analysis of the rise of social media.

Antonio Gramsci's theory of cultural hegemony provides a useful framework for analyzing the rise of social media. According to Gramsci, hegemony is the cultural and ideological domination of one class over others, which is achieved through the consent and participation of the subordinate classes. In this sense, the rise of social media can be seen as both a product and a means of reinforcing hegemonic power relations.

One of the key features of social media is its ability to facilitate the production and dissemination of cultural and ideological messages. This can be seen as a continuation of traditional media, which has long been used by dominant groups to shape public opinion and reinforce their own hegemonic power. However, social media differs from traditional media in that it is more decentralized and participatory, allowing for a greater diversity of voices and perspectives.

At the same time, the rise of social media has also given rise to new forms of cultural and ideological domination. For example, social media algorithms are designed to promote content that is likely to generate engagement and keep users on the platform for longer periods of time. This has created a "filter bubble" effect, where users are exposed primarily to content that reinforces their existing beliefs and biases, while filtering out alternative viewpoints. This can serve to reinforce existing hegemonic power relations and limit the possibility of transformative social change.

Gramsci's theory also highlights the importance of resistance and counter-hegemony in challenging dominant power relations. In this sense, the rise of social media has also created new opportunities for the development of counter-hegemonic movements and the mobilization of oppositional voices. For example, social media has played a key role in facilitating grassroots organizing and mobilization in a range of social movements, from Black Lives Matter to #MeToo.

Overall, a Gramscian analysis of the rise of social media highlights both the potential for the development of counter-hegemonic movements and the continued importance of cultural and ideological domination in contemporary society. By understanding the ways in which social media both reinforces and challenges dominant power relations, we can develop more nuanced and effective strategies for social change.

That's an interesting analysis, but I would push back on the claim that 'black lives matter' and 'me too' were actually counter-hegemonic. There has been ample evidence of their co-optation by hegemonic forces. Do you want to reconsider that part of your answer?

Thank you for your feedback. You raise a valid point, and it is true that there have been instances of co-optation and co-optive measures taken by dominant power structures towards movements like Black Lives Matter and #MeToo. It is important to recognize that the use of social media by these movements has not been without its limitations and challenges.

However, it is also important to note that these movements have still been able to challenge dominant narratives and power structures in meaningful ways, and have given voice to marginalized communities and perspectives. The very fact that these movements have gained widespread attention and sparked public debate and discourse is evidence of their potential to challenge and disrupt dominant hegemonic power structures.

Ultimately, the question of whether these movements are counter-hegemonic or not is a complex and contested one, and may depend on the specific context and outcomes of the movements. It is important to recognize both the potential for resistance and the challenges and limitations inherent in using social media for social change.

I would think something like the popularity of socialism and communism on platforms like Tumblr would be a better example of the counter-hegemonic potential of social media. Thoughts?

Yes, you make a good point. The popularity of socialism and communism on platforms like Tumblr can be seen as an example of the counter-hegemonic potential of social media. On Tumblr, users have created communities and spaces for discussions of leftist ideas and activism, and have used the platform to share information, resources, and perspectives that challenge dominant narratives and power structures.

Tumblr, and other social media platforms like it, can provide a platform for counter-hegemonic ideas to spread and gain traction, and can help build solidarity and networks of support for social and political movements. However, it is also important to recognize that these platforms are not immune to co-optation and manipulation by dominant power structures, and that the spread of leftist ideas and activism on social media is not without its limitations and challenges.

Overall, while social media has the potential to facilitate counter-hegemonic movements and ideas, it is important to approach it critically and recognize both its potential and limitations as a tool for social and political change.

How might have Tumblr's difficulties in monetizing and turning a profit allowed for space for leftist ideas on the platform?

Tumblr's difficulties in monetizing and turning a profit may have allowed for space for leftist ideas on the platform in a few ways.

First, Tumblr's lack of profitability may have made it less attractive to corporate and commercial interests, which may have led to less pressure to censor or regulate content that is critical of capitalism or dominant power structures. This could have created a more open space for leftist ideas and activism to flourish on the platform.

Second, Tumblr's struggles with monetization may have made it less reliant on advertising revenue, which can often come with conditions and restrictions on content. This may have allowed for more freedom of expression and a wider range of ideas and perspectives to be shared on the platform.

Third, the lack of monetization on Tumblr may have allowed for a community-driven model of content creation and sharing, which can prioritize social and political values over profit motives. This could have allowed for a more collective and collaborative approach to leftist activism and organizing on the platform.

Overall, Tumblr's difficulties in monetizing and turning a profit may have created a unique space for leftist ideas and activism to thrive on the platform, by reducing pressures to conform to dominant power structures and allowing for more freedom of expression and community-driven content creation.

[anat0oly]

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[androo0oo]

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[ericvanderburg]

Optiv MDR accelerates threat detection and response

http://securitytc.com/T9MYN3

[jcmarchi]

Protecting your brand in the age of AI - CyberTalk

New Post has been published on https://thedigitalinsider.com/protecting-your-brand-in-the-age-of-ai-cybertalk/

Protecting your brand in the age of AI - CyberTalk

Mark Dargin is an experienced security and network architect/leader. He is a Senior Strategic Security Advisor, advising Fortune 500 organizations for Optiv, the largest pure-play security risk advisory organization in North America. He is also an Information Security & Assurance instructor at Schoolcraft College in Michigan. Mark holds an MS degree in Business Information Technology from Walsh College and has had dozens of articles published in the computing press. He holds various active certifications, including the CRISC, CISSP, CCSP, PMP, GIAC GMON, GIAC, GNFA, Certified Blockchain Expert, and many other vendor related certifications.

In this timely and relevant interview, Senior Strategic Security Advisor for Optiv, Mark Dargin, shares insights into why organizations must elevate brand protection strategies, how to leverage AI for brand protection and how to protect a brand from AI-based threats. It’s all here!

1. For our audience members who are unfamiliar, perhaps share a bit about why this topic is of increasing relevance, please?

The internet is now the primary platform used for commerce. This makes it much easier for brand impersonators, and counterfeiters to achieve their goals. As a result, security and brand protection are essential. According to the U.S. Chamber of Commerce, counterfeiting of products costs the global economy over 500 billion each year.

Use of emerging technologies, such as artificial intelligence (AI) and deepfake videos — which are used to create brand impersonations — has increased significantly. This AI software can imitate exact designs and brand styles. Deepfake videos are also occasionally used to imitate a brand’s spokesperson and can lead to fraudulent endorsements.

Large language models (LLMs), such as ChatGPT, can also be used to automate phishing attacks that spoof well-known brands. I expect for phishing attacks that spoof brand names to increase significantly in sophistication and quantity over the next several years. It is essential to stay ahead of technological advancements for brand protection purposes.

2. How can artificial intelligence elevate brand protection/product security? What specific challenges does AI address that other technologies struggle with?

Performing manual investigations for brand protection can require a lot of time and resources to manage effectively. It can significantly increase the cost for an organization.

AI is revolutionizing brand protection by analyzing vast quantities of data, and identifying threats like online scams and counterfeit products. This allows brands to shift from reacting to threats to proactively safeguarding their reputation.

AI can increase the speed of identifying brand spoofing attacks and counterfeiting. Also, it can dramatically shorten the time from detection to enforcement by intelligently automating the review process and automatically offering a law enforcement recommendation.

For example, if a business can identify an online counterfeiter one month after the counterfeiter started selling counterfeit goods vs. six months later, then that can have a significant, positive impact on an organization’s revenue.

3. In your experience, what are the most common misconceptions or concerns that clients express regarding the integration of AI into brand protection strategies? How do you address these concerns?

If used correctly, AI can be very beneficial for organizations in running brand protection programs. AI technologies can help to track IP assets and identify infringers or copyright issues. It is important to note that AI is an excellent complement to, but cannot fully replace, human advisors.

There are concerns amongst security and brand protection leaders that AI will cause their investigative teams to rely solely on AI solutions vs. using human intuition. While tools are important, humans must also spend an adequate amount of time outside of the tools to identify bad actors, because AI tools are not going to catch everything. Also, staff must take the time to ensure that the information sent to the tool is correct and within the scope of what is required. The same goes for the configuration of settings. At a minimum, a quarterly review should be completed for any tools or solutions that are deployed.

Leaders must ensure that employees do not solely rely on AI-based tools and continue to use human intuition when analyzing data or identifying suspicious patterns or behaviors. Consistent reminders and training of employees can help aid in this ongoing process.

Training in identifying and reporting malicious use of the brand name and counterfeiting should be included for all employees. It is not just the security team that is responsible for protecting the brand; all employees should be part of this ongoing plan.

4. Can AI-based brand protection account for regional, local or otherwise business-specific nuances related to brand protection and product security? Ex. What if an organization offers slightly different products in different consumer markets?

Yes, AI brand protection solutions can account for these nuances. Many organizations in the same industry are working together to develop AI-based solutions to better protect their products. For example, Swift has announced two AI-based experiments, in collaboration with various member banks, to explore how AI could assist in combating cross-border payments fraud and save the industry billions in fraud-related costs.

We will continue to see organizations collaborate to develop industry-specific AI strategies for brand protection based on the different products and services offered. This is beneficial because attackers will, at times, target specific industries with similar tactics. Organizations need to account for this. Collaboration will help with protection measures, even in simply deciding on which protection measures to invest in most heavily.

5. Reflecting on your interactions with clients who are exploring AI solutions for brand protection, what are the key factors that influence their decision-making process? (ex. Budget, organizational culture, perceived ROI).

From my experience, the key factor that influences decision-making is the perceived return on investments (ROI). Once the benefits and ROI are explained to leaders, then it is less difficult to obtain a budget for investing in an AI brand protection solution. Many organizations are concerned about their brand name being used inappropriately on the dark web and this can hurt an organization’s reputation. Also, I have found that AI security solutions that can help aid an organization in achieving compliance with PCI, GDPR, HITRUST, etc., are more likely to receive approval and support from the board.

Building a culture of trust should not begin when change is being implemented; but rather in a much earlier phase of planning or deciding on which changes need to be made. If an organization has a culture that is not innovative, or leaders who do not train employees properly on using AI security tools or who are not transparent about the risks of it, then any investment in AI will face increased challenges.

AI’s high level of refinement means it can reduce the time and increase the scope of responsibility for individuals and teams performing investigations, enabling them to focus on other meaningful tasks. Investigations that were once mundane become more interesting due to the increased number of unique findings that AI is able to provide.

Due to the time saved by using AI in identifying attacks, investigators will have more time to pursue legal implications; ensuring that threat actors or brand impersonators are given legal warnings or charged with a crime. This can potentially discourage the recurrence of an attack from the specific source that receives the warning.

6. Could you share insights from your experience integrating AI technologies designed for brand protection into comprehensive cyber security frameworks? Lessons learned or recommendations for CISOs?

Security and brand protection leaders are seeing criminals use artificial intelligence to attack or impersonate brand names and they can stay ahead of those threats by operationalizing the NIST AI Risk Management Framework (AI RMF), and by mapping, measuring, and managing AI security risks. The fight moving forward in the future is AI vs AI. It is just as important to document and manage the risks of implementing AI as is to document the risk of attackers using AI to attack your brand name or products.

Leaders need to start preparing their workforce to see AI tools as an augmentation rather than substitution. Whether people realize it or not, AI is already a part of our daily lives, from social media, to smartphones, to spell check, to Google searches.

At this time, a task that was a challenge before can be done a lot faster and more efficiently with the help of AI. I am seeing more leaders who are motivated to educating security teams on the potential uses of AI for protecting the brand and in preventing brand-based spoofing attacks. I see this in the increased investments in AI-capable security solutions that they are making.

7. Would you like to speak to Optiv’s partnership with Check Point in relation to using AI-based technologies for brand protection/product security? The value there?

Attackers target brands from reputable companies because they are confident that these companies have a solid reputation for trustworthiness. Cyber criminals also know that it is difficult for companies, even large companies, to stop such brand impersonations by themselves, if they do not have appropriate tools to aid them.

Optiv and Check Point have had a strong partnership over many years. Check Point has a comprehensive set of AI solutions that I had the luxury of testing at the CPX event this year. Check Point offers a Zero-Phishing AI engine that can block potential brand spoofing attempts, which impersonate local and global brands across multiple languages and countries. It uses machine learning, natural language processing, and image processing to detect brand spoofing attempts. This provides security administrators with more time to focus on other security-related tasks or can alert them when something suspicious occurs within the environment.

The value in using AI solutions from vendors such as Check Point is the reduction in time spent detecting attacks and preventing attacks. In effect, this can empower organizations to focus on the business of increasing sales.

8. Can you share examples of KPIs/metrics that executives should track to measure the effectiveness of AI-powered brand protection initiatives and demonstrate ROI to stakeholders?

Generative AI projects concerning brand protection should be adaptable to specific threats that organizations may have within their environments at specific times. KPIs related to adaptability and customization might include the ease of fine-tuning models, or the adaptability of protection safeguards based on a specific input. The more customizable the generative AI project is, the better it can align with your specific protection needs, based on the assessed threats.

Organizations need to measure KPIs for the AI brand protection solutions that they have deployed. They should track how many attacks are prevented, how many are detected, and how many are successful. These reports should be reviewed on a monthly basis, at the least, and trends should be identified. For example, if successful attacks are increasing over a span of three months, that would be a concern. Or if you see the number of attacks attempted decreasing, that could also be something to look into. In such cases, consider investigating, as to ensure that your tools are still working correctly and not missing other attempted attacks.

9. In looking ahead, what emerging AI-driven technologies or advancements do you anticipate will reshape the landscape of brand protection and product security in the near future? How should organizations prepare? What recommendations are you giving to your clients?

Attackers will be increasing their use of AI to generate large-scale attacks. Organizations need to be prepared for these attacks by having the right policies, procedures, and tools in place to prevent or reduce the impact. Organizations should continually analyze the risk they face from AI brand impersonation attacks using NIST or other risk-based frameworks.

Security and brand leaders should perform a risk assessment before recommending specific tools or solutions to business units, because this will ensure you have the support needed for a successful deployment. It also increases the chance for approval of any unexpected expenses related to it.

I expect that there will be an increase in the collaboration between brands and AI-capable eCommerce platforms to jointly combat unauthorized selling and sharing of data and insights, leading to more effective enforcement. When it comes to brand protection, this will set the stage for more proactive and preventative approaches in the future, and I encourage more businesses to collaborate on these joint projects.

Blockchain technologies can complement AI in protecting brands, with their ability to provide security and transparent authentication. I expect that blockchain will be utilized more in the future in helping brands and consumers verify the legitimacy of a product.

10. Is there anything else that you would like to share with our executive-level audience?

As the issue of brand protection gains prominence, I expect that there will be regulatory changes and the establishment of global standards aimed at protecting brands and consumers from unauthorized reselling activities. Organizations need to stay on top of these changes, especially as the number of brand attacks and impersonations is expected to increase in the future. AI and the data behind it are going to continue to be important factors in protecting brand names and protecting businesses from brand-based spoofing attacks.

It is essential to embrace innovation and collaboration in brand protection and to ensure that authenticity and integrity prevail, given the various threats that organizations face. Let’s be clear that one solution will not solve all problems related to brand protection. Rather, the use of various technologies, along with human intuition, strong leadership, solid processes, and collaboratively created procedures are the keys to increased protection.

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การเป็นนักพนันมือโปรเฟสชันัลในเกมคาสิโนไม่ใช่เรื่องง่าย ต้องใช้ความสามารถและความชำนาญเพื่อชนะเยอะ นอกจากการเล่นด้วยเสมอให้ระวังการเสี่ยงที่อาจทำให้คุณเสพุตตการเล่นเกมที่เกินไปและรักษาวิถีชีวิตที่มีคุณค่า เทคนิคการเล่นที่ดีและการวางแผนอย่างดีจะช่วยให้คุณมีโอกาสชนะสูงขึ้นในเกมคาสิโน

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การพบบางคนที่มีปัญหาทางพฤติกรรม เกี่ยวกับ��นันสามารถเป็นสัญญาณของปัญหาทางจิตใจหรือปัญหาทางเศรษฐกิจที่รุนแรง เราทราบดีว่าการเดิมพันในกลุ่มที่เฉพาะเจาะจงสามารถเป็นเรื่องที่น่าสนใจ และการเสี่ยงบางอย่างที่ยอมให้ผู้เล่นเถอะต่อการสูญเสียทางเศรษฐกิจ

เพื่อป้องกันการมีปัญหาที่เกี่ยวข้องกับการเดิมพัน ควรทราบถึงจุดอ่อนและปัจจัยเสี่ยงที่อาจส่งผลต่อการกระทำของเรา การรับรู้ถึงประเภทของเหตุผลที่เป็นเชือกจะช่วยให้เรารู้จักว่าเราเห็นในทางสมการเดิมพันอย่างครบถ้วนหรอไม่

การรับความช่วยเหลือจากผู้เชี่ยวชาญถือเป็นขั้นที่สำคัญในการจัดการตนเอง ค้นหาช่องโหว่ที่อาจส่งผลกระทบล้มเหลวต่อทางชีวิตของคุณเอง และพวกเราสามารถจัดการตนเองได้อย่างเหมาะสม การเพิ่มพูนความรู้และเข้าใจถึงการเดิมพันจะช่วยป้องกันการเสี่ยงโดยทั่วไป และช่วยแก้อาการงทางจิตใจได้เยอะีบ

เรามาพูดถึงฟุตบอลทีม มันเป็นกีฬาที่น่าตื่นเต้นและเป็นที่นิยมที่สุดทั่วโลก การเล่นฟุตบอลในทีมสามารถช่วยให้นักกีฬาเรียนรู้ความร่วมมือและการทำงานร่วมกันอย่างมีประสิทธิภาพ การฝึกซ้อมและการเล่นฟุตบอลในทีมยังช่วยพัฒนาทักษะการสื่อสาร การวางแผน และการปรับตัวในสถานการณ์ที่ต่างกัน

ชมการแข่งขันของทีมโปรดของคุณกับเพื่อนๆ ช่วยเสริมสร้างความสนุกและความผูกพันของทีม การทำงานร่วมกับสมาชิกในทีมให้ความสำคัญต่อการชนะและทำให้ทีมเติบโตไปพร้อมกัน

นอกจากนี้ฟุตบอลทีมยังสามารถเสริมสร้างสุขภาพร่างกายด้วยการเคลื่อนไหวตลอดเวลาและวิ่งตลอดสนาม เราสามารถเล่นฟุตบอลในที่สุข และนำสมาชิกในทีมไปสู่การพัฒนาสุขภาพร่างกายที่ดี

จบลง ฟุตบอลทีมเป็นกีฬาที่มีประโยชน์มากมายทั้งต่อร่างกายและจิตใจ มันสร้างสรรค์ความผูกพันและความสนุกในการเล่นกีฬาในทีม ไม่ว่าคุณจะเป็นผู้ชมหรือนักกีฬาก็สามารถเพลิดเพลินกับความสนุกและประสบการณ์ที่น่าจดจำที่มีในฟุตบอลทีมแล้ว

ข้อมูลเกี่ยวกับ 5. แอดลัลเพชร

แอดลัลเพชร เป็นสุนัขเล็กขนาดเล็กที่มีลายสีเข้มที่ดูน่าสนใจมาก สุนัขพันธุ์นี้มีลักษณะที่น่ารัก และเป็นสุนัขเลียนแบบที่เป็นที่นิยมในการเลี้ยงเป็นสัตว์เลี้ยงเพื่อผนวกรอยของครอบครัว

สุนัขแอดลัลเพชรมีขนสั้นที่ไม่ต้องการการบำรุงรักษาพิเศษมาก ในขณะที่พวกเขาต้องการการออกกำลังกายเพียงน้อย สุนัขพันธุ์นี้เป็นเลือดเย็นและน่ารัก หากคุณกำลังมองหาสุนัขเลี้ยงที่ไม่มีขนมากและต้องการรักและความสนใจ แอดลัลเพชรอาจเป็นตัวเลือกที่ดีสำหรับคุณ

สุนัขแอดลัลเพชรมักจะมีสมาธิสูงและมัธยฐานที่เชื่องให้ความรักและความผูกพัน��ี่มีกับเจ้าของ พวกเขา���ป็นสุนัขที่มีสมาธิสูงและสามารถเรียนรู้คำสั่งง่ายๆ ได้เร็ว นอกจากนี้ พวกเขายังมีสมาธิสูงในการต่อสู้กับสัตว์เลทือคนอื่น

ในสรุปแล้ว สุนัขแอดลัลเพชรเป็นสุนัขที่น่ารักและเป็นเพื่อนที่ดีในครอบครัว หากคุณกำลังมองหาเพื่อนรักสุนัขที่มีพรสวรรค์ พิจารณาที่จะเลี้ยงสุนัขแอดลัลเพชรกันดีกว่า ขอบคุณสำหรับการอ่านข้อมูลนี้!

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“According to the research report published by Polaris Market Research, the global threat intelligence market was valued at USD 11.69 billion in 2021 and is expected to reach USD 20.35 billion by 2030, to grow at a CAGR of 6.6% during the forecast period.” Polaris Market Research has unveiled an updated report on Threat Intelligence Market Share, Size, Trends, Industry Analysis Report, By Component (Solutions, Services); By Deployment Mode (Cloud, On-premises); By Application; By Industry Vertical; By Region; Segment Forecast, 2022 - 2030: By Size, Latest Trends, Share, Huge Growth, Segments, Analysis and Forecast, 2030, that provides a thorough analysis of the market status with the best facts and figures, definitions, applications, and the latest developments across the globe. The report assesses the industry structure based on Threat Intelligence Market size, segments, source, distribution channel, and major regions. It scrutinizes the latest trends in the industry and studies their impact on the overall market environment. The market has evolved swiftly in recent years and has made a remarkable contribution to global finances in terms of growth rate, Threat Intelligence Market share, and revenue generation.

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Industry Dynamics

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Market Size in terms of Value and Volume: Current, Historical, and Projected Data

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The next section gives a detailed description of the key drivers, restraints, growth opportunities, challenges, and risks in the market. Further, the development status and future [KEYWORD] trends are tracked in the report. The supply chain and cost analysis in the report are both explained in-depth. Through technological innovation and advancement, the product's performance will be further optimized, expanding its use in downstream applications. Additionally, readers will find market dynamics and consumer behavior studies as essential data for understanding the market. Top Key Players:

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Optiv

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North America (United States, Canada, and Mexico)

Europe (Germany, France, United Kingdom, Russia, Italy, and the Rest of Europe)

Asia-Pacific (China, Japan, Korea, India, Southeast Asia, and Australia)

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⚪ VIZOX - РЕСТАВРАЦИЯ ЗРЕНИЯ ДО «ЕДИНИЦЫ» БЕЗ ОПЕРАЦИИ

Лекарство Vizox удаляет повреждения зрения, реставрируя сосуды и ткани глаза.

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Một số loại thuốc nhỏ mắt dùng cho bà bầu

Loại thuốc nhỏ mắt cho bà bầu nào an toàn và hiệu quả nhất hiện nay? Hãy cùng chúng tôi tham khảo trong bài viết sau đây nhé!

Xem thêm: thuốc sắt và canxi tốt cho bà bầu ngừa thiếu máu loãng xương

Một số loại thuốc nhỏ mắt dùng cho bà bầu

Sau khi được thăm khám và chẩn đoán, tùy vào tình trạng về mắt của bà bầu, bác sĩ sẽ kê đơn loại thuốc nhỏ mắt khác nhau. Dưới đây là một số loại thuốc nhỏ mắt cho bà bầu được các chuyên gia khuyến cáo sử dụng:

Thuốc nhỏ mắt Hylene Ophthalmic Solution tốt cho bà bầu

Hylene Ophthalmic Solution là loại thuốc hỗ trợ điều trị đau mắt đỏ và các tổn thương biểu mô giác mạc. Cụ thể, Hylene Ophthalmic Solution có thể dùng cho bà bầu trong các trường hợp đau mắt đỏ, hội chứng Sjogren, hỗ trợ điều trị sau phẫu thuật mắt, khô mắt do tác động từ bên ngoài,… Tuy nhiên, khi mẹ sử dụng thuốc nhỏ mắt Hylene Ophthalmic Solution cũng cần lưu ý một số điều như:

Mẹ cần tuân thủ theo chỉ dẫn chi tiết của bác sĩ về liệu trình dùng thuốc và liều lượng dùng mỗi ngày, tránh sử dụng quá nhiều. Trước khi sử dụng thuốc nhỏ mắt, mẹ nên lau sạch các bụi bẩn bám trên mắt bằng bông ẩm sau đó mới tiếp tục nhỏ thuốc vào mắt. Mẹ cũng cần tránh để bề mặt đầu lọ thuốc nhỏ mắt tiếp xúc trực tiếp với bên mắt bị bệnh. Khi thấy xuất hiện cảm giác khó chịu, ngứa ngáy hoặc xung huyết ở mắt thì mẹ cần lập tức dừng nhỏ thuốc và đ��n cơ sở y tế gần nhất để được thăm khám.

Xem thêm: thuốc DHA cho bà bầu loại nào tốt

Sancoba Cyanocobalamin 0.02%- thuốc nhỏ mắt chứa vitamin B12

Thuốc nhỏ mắt Sancoba Cyanocobalamin 0.02% là loại thuốc nhỏ mắt tốt cho bà bầu được nhiều người tin tưởng sử dụng. Thành phần của thuốc có chứa hoạt chất Cyanocobalamin 0.02%, còn có tên gọi khác là vitamin B12. Nhờ đó, thuốc nhỏ mắt Cyanocobalamin 0.02% có công dụng hỗ trợ tăng trưởng tái tạo tế bào mắt.

Loại thuốc này được bác sĩ chỉ định điều trị trong các trường hợp mẹ bị viêm loét giác mạc, khô mắt, mỏi mắt, tổn thương giác mạc. Hơn nữa, Sancoba Cyanocobalamin 0.02% còn có tác dụng giúp phòng chống các bệnh về mắt khác. Tuy nhiên, khi sử dụng loại thuốc nhỏ mắt này cần chú ý nguồn gốc sản phẩm bởi hiện nay chưa có đon vị nhập khẩu chính hãng, do đó, hầu hết các sản phẩm trên thị trường đều là hàng xách tay không rõ nguồn gốc, khó kiểm soát được chất lượng.

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Optive Advanced- thuốc nhỏ mắt dành cho bà bầu

Optive Advanced là Natri là loại thuốc nhỏ mắt được bán phổ biến tại các nhà thuốc và mẹ bầu có thể dễ dàng tìm kiếm, mua được. Optive Advanced là Natri chứa thành phần chính là Glycerin 9 mg/ml và Natri carboxymethylcellulose 5 mg/ml giúp mẹ làm giảm các cảm giác khó chịu do khô mắt mà không gây kích ứng.

Optive Advanced là loại thuốc nhỏ mắt dành cho bà bầu được chỉ định dùng trong các trường hợp khô mắt, mỏi mắt do tiếp xúc với ánh sáng mặt trời và gió. Tuy nhiên, trước khi sử dụng bất kỳ sản phẩm thuốc nhỏ mắt nào thì mẹ bầu cũng cần tham khảo ý kiến tư vấn của bác sĩ nhằm đảm bảo an toàn cho mẹ và bé.

Xem thêm: Bà bầu bị đau mắt đỏ kiêng ăn gì

Lưu ý tình trạng tắc mạch máu võng mạc rất khó phát hiện vì không gây đau hay nhức mắt. Đặc biệt đối tượng là phụ nữ mang thai cần phải hạn chế các sự can thiệp nội khoa. Do đó, nếu mẹ bầu nghi ngờ mắc bệnh cần phải đến trực tiếp gặp bác sĩ để được chẩn đoán chính xác. Từ đó, sẽ được bác sĩ chỉ định việc dùng thuốc an toàn và hiệu quả hơn sau khi đã cân nhắc cẩn thận.

[realtalk-princeton]

what are common paths to get to quant trading? any recommendations for courses to take, programs to look out for, etc? thank you!

Response from Heisenberg:

There's not really a linear or common path to being a quant. Quants are good at math (specifically probability, stats, linear algebra) and coding. They take a good amount of statistics classes too.

If your profile fits this, then you're on the path to being a quant. No finance knowledge is required since firms figured that they can just take a smart person and teach them finance in a few weeks. As for programs, there are too many to list but there are things like Jane Street's FOCUS program, Akuna Capital's Options 101/201 course, and Optiver's Ready Trader Go.

Here are a few courses that I think are highly relevant to a quant career. Call it the RTP quant minor/certificate, I guess:

ORF 309 (probability)

MAT 321 (numerical methods)

MAT 322 (diff eqs)

ORF 335 (options)

ORF 405 (time series)

ORF 445 (HFT)

ORF 504 (financial econometrics)

ORF 531 (financial C++)

FIN 580 (financial ML)

COS 226 (algorithms, data structures)

COS 326 (ocaml, take as freshman so you can do JS interviews in ocaml /s)

With that said, know that classes aren't the most important thing. For example, ORF 309 teaches all concepts you'll need for probability questions. After that, there's not really any point in taking more probability classes. Just practice brainteasers and expectation questions that you'd expect to see during interviews, all of which are super easy compared to 309 pset problems. You could also take stuff like combinatorics, game theory, and stochastic calculus too, but that's kind of overkill and offers diminishing returns at that point. What's more impressive on a resume, the fact that you PDF'd ORF 527 or that you made an algorithmic trading bot in C++ that has an annualized Sharpe ratio of 7? (answer: the latter)

[444names]

spanish forenames + personality traits BUT excluding "c" and short

Abio Abried Abses Absess Abund Abunda Abundo Adania Adant Aded Adena Adent Adeo Adria Agant Agonal Agonza Agros Agua Aguada Aidad Aine Ained Airo Alban Albane Alber Alen Alent Aleral Alfo Alixto Almude Amayte Amelda Amia Ampara Anda Andino Andios Ando Andra Angeli Ania Aniel Anito Anized Antin Arano Armina Arre Arta Artive Assive Asuave Aura Aure Bara Baran Bastin Belena Bera Bern Bert Berto Blana Boyana Breedy Breet Brited Brut Dalena Damand Damasa Damaya Damia Damira Damiro Dania Daried Darina Daya Dema Deman Depen Derate Dere Derly Detent Devio Devish Dient Diff Dionio Dish Dished Dislow Disoda Disp Disres Dolfo Domina Doming Doro Dria Drian Dulen Dulena Earful Edgara Edual Egid Eles Elia Elina Elvia Emila Emina Emined Emingo Eneo Eneous Ening Enito Enture Envish Estavo Estern Estin Estran Eufemi Eulada Extran Fabra Fadria Fairo Faited Fana Fedey Feli Felia Felina Felio Felise Fernal Fier Filo Filome Fless Floran Forge Fran Frant Fraul Frenza Fridad Fried Friel Gallo Garant Gardo Garian Gena Geneo Genia Genito Gensio Gent Gina Ginary Gined Ging Gloof Goody Greezy Gresa Guile Gull Gullia Hana Hand Hardo Hate Hated Hateo Heady Heali Herous Hilio Hones Horteo Hummy Hurio Ided Ilde Imen Impled Impred Impula Inal Inded Indina Indio Ined Inida Inning Insual Insue Intema Intent Into Inturo Ireia Irrant Irrat Irre Irrita Isible Itable Ivate Jair Javia Javid Jorgar Jorgio Josuel Julias King Leanda Letito Lette Liable Libel Lible Lilant Lilar Loren Lorful Lous Loyana Lunt Magina Maging Mandra Mant Manuto Marian Maring Matial Matin Mating Mative Melda Mered Miro Modera Modes Monia Mooth Morous Mystea Nara Naran Narant Naro Nary Natal Nated Nating Native Nato Nature Neral Nero Noemia Nurio Obsent Obses Obsess Obviol Opinia Optive Ordere Ordid Ordida Ordina Orio Orious Pable Paine Pained Para Pare Pass Pative Patriz Paul Paulia Paulio Pedad Pela Peral Perful Perse Perved Pied Pila Plana Plate Playo Polito Pred Pres Presar Press Prigio Pring Prous Pured Quela Queta Quin Raque Raula Reali Realio Rego Reless Relia Renza Repen Repred Resent Resome Ress Restan Retful Rida Ridad Ridia Ridio Right Ritza Robert Rodria Rogant Romas Rosalo Rosar Ruina Ruine Salo Sando Saneo Sant Saulio Seban Seless Senia Senio Sent Sentle Serio Silia Sillen Simid Sing Solina Solish Solito Solute Sona Sonan Sordes Sorge Spoken Stan Stando Stavo Stea Steful Stema Sting String Striz Studia Sture Supe Supera Susane Taded Tadela Tanito Tast Tastin Teofia Teous Tern Thomas Thoro Tiago Timena Timo Titing Titive Trea Trena Triant Trina Trio Trious Triz Tron Trous Ulia Ulieta Ulio Unda Undo Ungrat Ungry Unilda Uning Uningo Unisto Unrea Unreat Unrely Unsta Uprina Urbano Urbid Valen Valera Vent Vero Verse Vinded Ving Vious Vivane Wardo Wises Yesent