We are not now that strength which in old days
Moved earth and heaven, that which we are, we are;
One equal temper of heroic hearts,
Made weak by time and fate, but strong in will
To strive, to seek, to find, and not to yield.
Ulysses Fail With You
Category: event
Difference of Red Ocean VS Blue Ocean Strategy
🌊 Red Ocean Strategy
Compete in an existing market space.
✅ Characteristics:
- Industry is well-defined and crowded
- Competition is fierce (a “bloody ocean” 🩸)
- Companies fight for market share
- Success = outperforming rivals
- Focus on existing demand
- Differentiation OR low cost (rarely both)
🔍 Example:
Fast food chains like McDonald’s vs Burger King. They sell similar products, compete on price, and location — all in the same market space.
🌊 Blue Ocean Strategy
Create a new, uncontested market space.
✅ Characteristics:
- Focus on innovation & value creation
- Make the competition irrelevant
- Capture new demand
- Break the value-cost trade-off
- Create AND capture new market space
🔍 Example:
Cirque du Soleil redefined the circus experience by blending circus with theater — no animals, higher prices, artistic value — creating a new market.
| Feature | Red Ocean | Blue Ocean |
|---|---|---|
| Market Space | Existing | New / Uncontested |
| Competition | Beat the competition | Make competition irrelevant |
| Demand | Exploit existing demand | Create new demand |
| Focus | Either cost OR differentiation | Cost AND differentiation (value innovation) |
| Strategy Goal | Gain bigger slice of market | Create a new market |
| Risk Level | Competitive pressure | Innovation risk, but high reward |
150 Years Periods When To Make Money
It sounds like you’re asking if a 150-year financial sheet period is real—meaning whether money, wealth, or financial records over that long of a timeframe hold real value.
Breaking It Down:
- 150-Year Financial Records Exist
- Many banks, companies, and governments keep records spanning over a century (e.g., The Bank of England, New York Stock Exchange data).
- Some companies (e.g., Coca-Cola, JP Morgan) have 150+ years of financial reports.
- Does Money Stay “Real” Over 150 Years?
- Money itself changes (gold-backed currencies, fiat money, digital money).
- Inflation reduces the value of old money (e.g., $1 in 1875 is worth much more than $1 today).
- But assets like land, stocks, gold, and businesses retain value over time.
- Investment & Wealth Over 150 Years
- If someone invested $1,000 in the stock market 150 years ago (1875), today it would be worth millions.
- The long-term wealth-building strategy (stocks, real estate, gold) proves money grows over time.
Here’s a historical & predictive table from 1945 to 2025, highlighting major investment trends and whether the market was bullish (📈) or bearish (📉):
| Year | Economic/Market Condition | Best Investment Areas | Bullish/Bearish |
|---|---|---|---|
| 1945 | Post-WWII Boom | Manufacturing, Infrastructure | 📈 Bullish |
| 1950 | Economic Expansion | Industrial Stocks, Real Estate | 📈 Bullish |
| 1955 | US Growth & Tech Start | Blue-chip stocks, Early Tech | 📈 Bullish |
| 1960 | Mild Recession | Gold, Consumer Goods | 📉 Bearish |
| 1965 | Vietnam War Spending | Defense Stocks, Commodities | 📈 Bullish |
| 1970 | Stagflation Begins | Gold, Energy (Oil Crisis) | 📉 Bearish |
| 1975 | Oil Crisis Recovery | Energy, Real Estate | 📈 Bullish |
| 1980 | High Inflation & Volcker | Gold, Bonds, Tech Startups | 📉 Bearish |
| 1985 | Tech & Global Growth | Microsoft, IBM, Real Estate | 📈 Bullish |
| 1990 | Early 90s Recession | Bonds, Large-Cap Stocks | 📉 Bearish |
| 1995 | Dot-com Boom | Tech Stocks, Internet Startups | 📈 Bullish |
| 2000 | Dot-com Crash | Gold, Bonds, Real Estate | 📉 Bearish |
| 2005 | Housing Bubble Peaks | Real Estate, Commodities | 📈 Bullish |
| 2010 | Post-2008 Recovery | Tech, Crypto, Growth Stocks | 📈 Bullish |
| 2015 | Tech Dominance | FAANG Stocks, AI, Startups | 📈 Bullish |
| 2020 | COVID Crash & Recovery | Crypto, EVs, AI, Green Energy | 📉📈 Bearish → Bullish |
| 2025* | Future AI & Green Tech | AI, Robotics, Clean Energy, BTC | 📈 Bullish (Predicted) |
Key Observations & 2025 Predictions:
- Bullish Eras → Post-war (1945), Dot-com (1995), Tech Rise (2010+), AI boom (2025?)
- Bearish Periods → Stagflation (1970s), Dot-com burst (2000), 2008 Crash, COVID (2020)
- 2025 Investment Prediction → AI, robotics, blockchain, and green energy will dominate.
Investing in Artificial Intelligence (AI) and Green Technology sectors offers exposure to industries poised for significant growth. Below is a curated list of notable U.S. companies in these domains:
Artificial Intelligence (AI) Stocks
| Company Name | Ticker Symbol | Description |
|---|---|---|
| Nvidia Corporation | NVDA | Leading designer of GPUs, essential for AI computing and machine learning applications. |
| Microsoft Corporation | MSFT | Integrates AI across its products and services, including cloud computing and software solutions. |
| Alphabet Inc. | GOOGL | Parent company of Google, heavily investing in AI research and development. |
| Upstart Holdings Inc. | UPST | Utilizes AI to assess credit risk, offering alternative lending solutions. |
| SoundHound AI Inc. | SOUN | Specializes in voice AI and conversational intelligence technologies. |
Green Technology Stocks
| Company Name | Ticker Symbol | Description |
|---|---|---|
| NextEra Energy | NEE | Major renewable energy company focusing on wind and solar power generation. |
| Brookfield Renewable Partners | BEP | Operates renewable power assets, including hydroelectric and wind facilities. |
| Clearway Energy Inc. | CWEN | Engages in renewable energy projects, particularly wind and solar. |
| First Solar | FSLR | Manufactures solar panels and develops utility-scale photovoltaic power plants. |
| Tesla Inc. | TSLA | Produces electric vehicles and invests in solar energy solutions. |
Note: Investing in these sectors carries inherent risks due to market volatility and technological advancements. It’s advisable to conduct thorough research or consult a financial advisor before making investment decisions.
Conclusion: Can a 150-Year Sheet Predict the Future?
✅ Yes, it shows long-term patterns in money, markets, inflation, and industries.
❌ Not 100% accurate because new events (wars, crises, tech shifts) change the game.
But history repeats itself in cycles—so studying the past helps you predict and prepare for the future.
Chinese Dynasties Ranking System For An Emperor’s Wives
The ranking system for an emperor’s wives and consorts was detailed and varied across different Chinese dynasties. Here’s a more comprehensive breakdown, including variations from different dynasties like the Tang (618–907), Song (960–1279), Ming (1368–1644), and Qing (1644–1912) Dynasties.
Factors influencing rank:
- Family background: Women from prominent families often received higher ranks.
- Emperor’s favor: A concubine who gained the emperor’s favor could be elevated in rank.
- Ability to bear children: Concubines who gave birth to the emperor’s heirs often received higher status.
1. Empress (皇后, Huánghòu) – First Rank
- The highest-ranking wife of the emperor, his main consort.
- She had authority over all the emperor’s consorts and the harem.
- Wore the Phoenix Crown (凤冠, Fèngguān) as a symbol of power.
- The Empress gave birth to the heir (Crown Prince) whenever possible.
2. Imperial Noble Consort (皇贵妃, Huáng Guìfēi) – Second Rank
- Just below the empress but still held significant influence.
- This rank was not always present in earlier dynasties but became common in the Ming and Qing Dynasties.
3. Noble Consort (贵妃, Guìfēi) – Third Rank
- Higher than most other consorts but below the Imperial Noble Consort.
- Usually, one or two women held this title.
4. Consort (妃, Fēi) – Fourth Rank
- A mid-tier consort with noble status.
- In the Qing Dynasty, there were typically four Consorts at a time.
5. Imperial Concubine (嫔, Pín) – Fifth Rank
- A recognized consort but of lower status.
- Had limited influence in court matters.
6. Noble Lady (贵人, Guìrén) – Sixth Rank
- The lowest official rank in the imperial harem.
- Some noble ladies could rise in rank if favored by the emperor.
7. First Attendant (常在, Chángzài) – Seventh Rank
- Lower than a Noble Lady but still part of the emperor’s harem.
- Had minimal influence but could be promoted.
8. Second Attendant (答应, Dāyìng) – Eighth Rank
- The lowest recognized rank.
- Mostly served the emperor without real power.
9. Palace Maids (宫女, Gōngnǚ) – Unranked
- Not official consorts but worked in the inner palace.
- Could sometimes be promoted if favored by the emperor.
Other Titles (Special Cases & Retired Consorts)
- Empress Dowager (皇太后, Huáng Tàihòu) – The widow of a deceased emperor, often the mother of the new emperor.
- Grand Empress Dowager (太皇太后, Tài Huáng Tàihòu) – The grandmother of the reigning emperor.
- Virtuous Consorts (昭仪, Zhāoyí; 修仪, Xiūyí, etc.) – Titles used in some dynasties like the Tang, referring to special-ranked concubines with unique responsibilities.
Each dynasty had slight variations, but this structure provides a detailed view of the emperor’s wives’ ranks throughout Chinese history. Would you like information on a specific dynasty or any famous empresses? 😊
Mersenne Prime and Mersenne Twister Explaination
Mersenne Prime and Mersenne Twister are two distinct mathematical/computational concepts that share part of their name but serve completely different purposes. Here’s a breakdown of the differences:
1. Mersenne Prime
- Definition: A Mersenne prime is a special type of prime number that can be expressed in the form:
Mn=2n−1
- where nnn is a positive integer and MnM_nMn is prime.
- Example: For n=2n = 2n=2, M2=22−1=3M_2 = 2^2 – 1 = 3M2=22−1=3 (which is prime). For n=3n = 3n=3, M3=23−1=7M_3 = 2^3 – 1 = 7M3=23−1=7 (which is also prime). However, not all numbers of the form 2n−12^n – 12n−1 are prime (e.g., 24−1=152^4 – 1 = 1524−1=15, which is not prime).
- Applications:
- Mersenne primes are closely related to perfect numbers, which are integers equal to the sum of their proper divisors.
- They are of interest in number theory and are used in cryptographic algorithms.
In summary, while Mersenne primes are a special class of numbers studied in mathematics, the Mersenne Twister is a practical tool for random number generation in computing, inspired by the mathematical properties of Mersenne primes.
Why Are Mersenne Primes Special?
- Rare: Not all numbers of the form 2n−12^n – 12n−1 are prime; nnn must itself be prime for 2n−12^n – 12n−1 to have a chance of being prime, but even then, not all such numbers are prime.
- Connection to Perfect Numbers: Every Mersenne prime is associated with an even perfect number (a number equal to the sum of its proper divisors).
2. Mersenne Twister
- Definition: The Mersenne Twister is a pseudorandom number generator (PRNG) developed by Makoto Matsumoto and Takuji Nishimura in 1997 and designed for generating sequences of random numbers with a very long period. It is named “Mersenne” because its period length is a Mersenne prime, specifically 219937−12^{19937} – 1219937−1.
- Purpose: To generate sequences of numbers that approximate true randomness for applications in simulations, games, statistical sampling, and more.
- Key Characteristics:
- Period: Extremely long period (219937−12^{19937} – 1219937−1).
- Speed: Very fast and efficient for generating random numbers.
- Quality: Produces numbers with a uniform distribution and passes many statistical tests for randomness.
- Applications:
- Widely used in simulations, cryptographic applications (though not cryptographically secure), and any situation requiring high-quality random number generation.
- Efficiency:
- It is computationally efficient, capable of generating random numbers quickly, making it suitable for applications requiring large volumes of random data.
- Quality of Randomness:
- The Mersenne Twister passes most standard statistical tests for randomness, ensuring the generated sequences appear random and unbiased.
How Does It Work?
The Mersenne Twister works by maintaining an internal state array of size N=624N = 624N=624, with each element being a 32-bit integer. The generator progresses by:
- Initialization:
- The state array is initialized using a seed value (often a single integer).
- Recurrence Relation:
- The generator uses a linear recurrence relation to update its state. At each step, a new value is computed by combining elements of the state array using bitwise operations and a carefully chosen set of constants.
- Tempering:
- The output is “tempered” (processed further) to improve statistical properties and ensure the generated numbers are distributed uniformly.
Applications
- Simulations:
- Widely used in Monte Carlo simulations and scientific modeling where high-quality random numbers are required.
- Games:
- Randomness in video games, such as dice rolls, loot drops, or random events, often relies on the Mersenne Twister.
- Statistical Sampling:
- Random sampling from datasets in statistics and machine learning.
- Randomized Algorithms:
- Used in algorithms requiring randomness, such as quicksort or hash table probing.
Strengths
- Extremely Long Period: The massive period ensures that the generator doesn’t repeat its sequence in realistic use cases.
- Speed: Generates random numbers efficiently.
- High Quality: It meets strict randomness requirements, making it suitable for most non-cryptographic applications.
Limitations
- Not Cryptographically Secure:
- The Mersenne Twister is predictable if an attacker knows part of its internal state or a sequence of generated numbers. For cryptographic purposes, use secure PRNGs like Cryptographically Secure PseudoRandom Number Generators (CSPRNGs).
- Memory Usage:
- The state array of size 624 integers (about 2.5 KB) is larger than simpler PRNGs like the Linear Congruential Generator (LCG).
- Initialization Time:
- Initializing the state array can be slower compared to simpler generators.
Variants
Several variants of the Mersenne Twister have been developed to address specific use cases:
- MT19937:
- The original 32-bit version of the Mersenne Twister.
- MT19937-64:
- A 64-bit version of the Mersenne Twister, designed for 64-bit systems.
- TinyMT:
- A smaller version with reduced state size, designed for embedded systems or applications with limited memory.
How to Use the Mersenne Twister in Programming
Most modern programming languages and libraries include the Mersenne Twister as the default or available PRNG:
- Python
import random
random.seed(42) # Initialize the generator with a seed
print(random.random()) # Generate a random float between 0 and 1
- C++
#include <random>
std::mt19937 mt(42); // Initialize with a seed
std::uniform_real_distribution<double> dist(0.0, 1.0);
double random_value = dist(mt); // Generate a random number
Key Differences
| Aspect | Mersenne Prime | Mersenne Twister |
|---|---|---|
| Nature | Mathematical concept (prime number). | Algorithm for pseudorandom number generation. |
| Form | 2n−12^n – 12n−1, where nnn is a positive integer and 2n−12^n – 12n−1 is prime. | Uses a long recurrence relation to generate random numbers. |
| Purpose | Studied in number theory. | Used in computational random number generation. |
| Applications | Cryptography, pure math research. | Simulations, games, machine learning, etc. |
Tang Yuan dalam Tradisi Tionghua Dongzhi Festival
Dalam bahasa Mandarin, kata “Dong” berarti “musim dingin” sementara “Zhi” berarti “kedatangan” yang memberikan arti harfiah dari festival ini “datangnya musim dingin”. Dongzhi merayakan titik balik matahari musim dingin, biasanya sekitar tanggal 21 hingga 23 Desember, dan dirayakan pada malam terpanjang dalam setahun. Melambangkan kemenangan cahaya atas kegelapan, Dongzhi, melambangkan bahwa hari-hari akan mulai bertambah panjang dan membawa rasa keseimbangan dan harmoni pada kehidupan manusia. Berdasarkan kepercayaan Tiongkok tentang yin yang, “Yang” melambangkan energi positif, kehangatan, dan cahaya. Setelah Festival Dongzhi, siang hari akan berangsur-angsur memanjang, karena “Yang” juga akan bertambah. Dipercaya oleh sebagian orang bahwa itu adalah hari ketika Dewa Dapur pergi ke surga untuk melaporkan kepada Kaisar Giok tentang perilaku sebuah keluarga.
Tang Yuan, bola-bola pangsit beras ketan, adalah minuman hangat tradisional yang terbuat dari jahe. Bola-bola ketan dalam wedang ronde biasanya berisi kacang tumbuk dan gula merah.
1. Apa itu Tang Yuan?
Tang Yuan (汤圆) adalah bola-bola tepung ketan yang biasanya direbus dan disajikan dalam kuah manis atau gurih. Tang Yuan memiliki makna simbolis dalam budaya Tionghoa:
- Bentuk bulat: Melambangkan kebersamaan, keharmonisan, dan persatuan keluarga.
- Rasa manis: Melambangkan kehidupan yang penuh berkah dan kebahagiaan.
2. Hubungan Tang Yuan dengan Festival Dong Zhi
Dong Zhi Festival (冬至), yang berarti “Musim Dingin Tiba,” adalah salah satu festival penting dalam budaya Tionghoa. Biasanya dirayakan sekitar 21-23 Desember, saat siang hari terpendek dalam setahun di belahan bumi utara. Pada festival ini, makan Tang Yuan menjadi tradisi untuk:
- Menyambut perubahan musim.
- Mempererat ikatan keluarga.
- Melambangkan kedewasaan dan tahap kehidupan baru.
Tang Yuan disajikan dalam kuah jahe manis untuk menghangatkan tubuh selama musim dingin.
3. Tang Yuan dalam Tradisi Chinese Indonesia
Di Indonesia, tradisi makan Tang Yuan tidak hanya dilakukan pada Dong Zhi, tetapi juga dalam beberapa perayaan lain, seperti:
- Imlek (Tahun Baru Imlek): Tang Yuan dimakan sebagai simbol keberuntungan dan kebersamaan keluarga.
- Pernikahan atau Kelahiran: Disajikan sebagai doa untuk keharmonisan dan kebahagiaan keluarga.
- Upacara Sembahyang Leluhur: Sebagai persembahan untuk leluhur, melambangkan doa untuk keberkahan keluarga.
4. Cara Membuat Tang Yuan
Bahan Utama:
- Tepung ketan
- Air
- Pewarna makanan (opsional)
- Gula merah atau jahe untuk kuah manis
Langkah-langkah:
- Campur tepung ketan dengan sedikit air hingga menjadi adonan yang bisa dibentuk.
- Bentuk adonan menjadi bola-bola kecil.
- Rebus bola-bola dalam air mendidih hingga mengapung.
- Sajikan dengan kuah manis yang terbuat dari gula merah, jahe, dan air.
5. Makna Filosofis Tang Yuan di Indonesia
Bagi komunitas Tionghoa Indonesia, makan Tang Yuan adalah cara untuk:
- Menghormati tradisi leluhur: Merayakan kebersamaan dengan keluarga.
- Menghubungkan generasi: Biasanya dibuat bersama-sama oleh keluarga, melibatkan orang tua, anak, dan cucu.
- Melestarikan budaya: Sebagai salah satu bagian penting dari warisan budaya Tionghoa.
6. Variasi Tang Yuan di Indonesia
Di Indonesia, Tang Yuan sering dimodifikasi dengan cita rasa lokal:
- Isi gula merah cair atau kacang tanah manis: Sebagai pengaruh budaya Nusantara.
- Kuah santan: Menggunakan bahan khas Indonesia untuk memberikan rasa gurih-manis.
Kesimpulan
Festival Tang Yuan adalah bagian penting dari tradisi Tionghoa, baik di China maupun Indonesia. Dalam konteks Indonesia, Tang Yuan tidak hanya menjadi makanan tradisional tetapi juga simbol keharmonisan keluarga, kebahagiaan, dan keberuntungan. Dengan adaptasi lokal, Tang Yuan tetap menjadi salah satu elemen budaya yang dilestarikan oleh komunitas Tionghoa di Indonesia.
Referensi:
What is Web3.0 VS Web2.0 VS Web1.0
Web1, Web2, and Web3 are terms that describe the evolution of the internet, each phase marking a shift in how users interact with and experience the web. Here’s a breakdown of each:
1. Web 1.0 (The Static Web)
Web1, or the Static Web, refers to the early phase of the internet, which lasted from the 1990s to the early 2000s. This phase is characterized by:
- Static content: Webpages were mostly read-only and provided information without any user interaction.
- Personal websites and portals: Most websites were simple, static pages where users could access information but not contribute or interact with it.
- Minimal user interaction: Users were passive consumers of content, as there were no platforms for collaboration or participation.
- Basic technology: Web 1.0 primarily used HTML, images, and basic design elements.
Example: A typical Web1 site would be like an online brochure or a static information page, such as early personal websites or news portals.
2. Web 2.0 (The Social and Interactive Web)
Web2, also known as the Social Web or Interactive Web, emerged in the early 2000s and continues today. It represents a more dynamic, user-focused web. Key characteristics of Web2 include:
- User-generated content: Users could now create and share their own content, such as blogs, videos, and social media posts.
- Interactivity and collaboration: Platforms allowed for two-way communication, with websites like Facebook, YouTube, and Wikipedia enabling users to interact and contribute.
- Dynamic web applications: Webpages became more interactive, using technologies like AJAX, making them responsive and customizable without reloading entire pages.
- Community-driven platforms: Websites became spaces for users to participate in discussions, share opinions, and collaborate with each other.
- Data-driven business models: Platforms like Facebook, Twitter, and Google grew by collecting and monetizing user data, primarily through advertising.
Example: Platforms like Facebook, YouTube, Instagram, and collaborative tools like Google Docs are products of Web2.
3. Web 3.0 (The Decentralized Web)
Web3, often referred to as the Decentralized Web or Semantic Web, is the most recent and emerging phase of the internet. It emphasizes user control, decentralization, and improved intelligence. Key features include:
- Decentralization: Web3 is powered by blockchain technology, which distributes control over data and applications across a peer-to-peer network, rather than being controlled by centralized entities (like large tech companies).
- User data ownership: Unlike Web2, where platforms own user data, Web3 aims to give users full ownership of their data, with privacy and security being central concerns.
- Smart contracts: Web3 enables smart contracts, which are self-executing agreements stored on the blockchain. These automate transactions without intermediaries.
- Cryptocurrencies and digital economies: Web3 integrates digital assets like cryptocurrencies and tokens, allowing users to participate in decentralized finance (DeFi) and own unique digital items via NFTs (Non-Fungible Tokens).
- Semantic Web: The goal is also to make the web more intelligent, allowing machines to better understand and process information, making searches and interactions more relevant and personalized.
Example: Decentralized platforms such as Ethereum, IPFS, Decentralized Finance (DeFi) applications, and NFT marketplaces represent the Web3 era.
Summary of Differences
| Phase | Web 1.0 | Web 2.0 | Web 3.0 |
|---|---|---|---|
| Era | 1990s to early 2000s | Early 2000s to present | Emerging (2020s and beyond) |
| Content | Static, read-only | Dynamic, user-generated | Decentralized, user-controlled |
| Interaction | Passive | Interactive, social | Peer-to-peer, decentralized |
| Technology | HTML, basic webpages | AJAX, APIs, social media | Blockchain, smart contracts, AI |
| Data control | Owned by website owners | Controlled by large platforms | Controlled by users, decentralized |
Web3 represents the future of the internet, focusing on decentralization, enhanced privacy, and user sovereignty over their data and digital assets.
Type of Work Systems – 996
What is “996“?
996 working, ICU waiting.
A “996” work schedule refers to an unofficial work schedule (9a.m. ~ 9p.m., 6 days a week) that has been gaining in popularity. Serving a company that encourages the “996” work schedule usually means working for at least 60 hours a week.
996 work system: arrive at work at 9 am every day and work until 9 pm. Work 6 days a week.
955 work system: arrive at work at 9 am every day and work until 5 pm. Work 5 days a week.
944 work system: arrive at work at 9 am every day and work until 4 pm. Work 4 days a week.
996.ICU : Work 996, be sick in ICU.
955.WLB : Work 955, work-life balance.
944.Life : Work 944, life comes first.
The following list of companies basically do not belong to the 996 companies, and are relatively close to the 955/965 level, but it still depends on the department and region, and cannot be guaranteed to be completely accurate.
- It cannot be guaranteed that all departments are at the level of 955/10-6-5/965/10-7-5
- Even if the average level of the department is 955/10-6-5/965/10-7-5, you may still have to work overtime part of the time.
- Some departments of some companies in the list may have 975 or even 985 students. Don’t generalize.
- Some companies in the list may have some or even more departments with 945, 10-5-5 or 11-6-5, so we have included them in the list.
- Currently, most of the companies on the list are in Shanghai because I am in Shanghai and have a relatively good understanding of the situation in Shanghai. This does not mean that most of the 955 companies are in Shanghai. You are welcome to continue voting, and I will add more companies based on the voting results.
About the future
Always know what you want.
What I want now is an environment where I can learn English and technology, so that my choices in the future will not be limited to China, but will be from all over the world.
If you are nostalgic for the high salaries of domestic large companies
If you are afraid of going to a strange place
If you seek stability and are unwilling to change
Please stay in the country, come on.
If you like a challenge
If you like to experience different life
If you yearn for equal human rights, freedom of speech, and a society ruled by law
The world is so big, go out and see it.
There are many things you can’t change, but you can choose to leave
| Work System | Hours per Day | Days per Week | Example Company/Industry | Description |
|---|---|---|---|---|
| 996 | 9 am – 9 pm | 6 | Some tech companies in China (e.g., Alibaba) | Long hours, prevalent in tech and startup culture in China. |
| 955 | 9 am – 5 pm | 5 | Standard corporate companies worldwide | Standard work schedule in many countries. |
| 944 | 9 am – 4 pm | 4 | Some creative agencies and consulting firms | Shorter workweek with slightly reduced daily hours. |
| 888 | 8 am – 8 pm | 4 (per week) | Manufacturing industry with rotating shifts | Longer daily hours, common in shift-based industries. |
| 410 | 10 hours | 4 | Some government jobs and tech companies | Four-day workweek with 10-hour shifts. |
| 987 | 9 am – 8 pm | 7 | Startups in high-growth phases | Intense schedule with no days off for quick scaling. |
| 774 | 7 am – 7 pm | 4 | Healthcare workers and emergency services | Long shifts but three consecutive days off. |
| 582 | 5 am – 8 pm | 2 | Part-time workers in retail or emergency services | Very long shifts with significant days off. |
| 998 | 9 am – 9 pm | 4 (per week) | IT support companies with alternate workweeks | Alternating week schedule with long daily hours. |
| 1045 | 10 am – 4 pm | 5 | Freelancers and part-time workers | Shorter daily shifts for a flexible schedule. |
| 663 | 6 am – 6 pm | 3 | Oil and gas industry workers, emergency responders | Intensive shifts with more days off. |
| 964 | 9 am – 6 pm | 4 | Innovative tech companies focusing on work-life balance | Balanced workweek for better work-life balance. |
| 9969 | 9 am – 9 pm | 6 (for 9 months) | Construction projects, startups with intense deadlines | 9 months intense work, 3 months reduced work/vacation. |
| 845 | 8 am – 4 pm | 5 | Public sector, schools, educational institutions | Standard workday with earlier start and finish. |
| 12124 | 12 hours | 4 | Healthcare (e.g., nurses, EMTs), fire services | Longer shifts, common in emergency and production roles. |
| 982 | 9 am – 8 pm | 2 | Weekend-only retail or event-based industries | Full weekend off, fewer but longer shifts. |
| 1075 | 10 am – 7 pm | 5 | Retail stores, customer service centers | Slightly later start for flexibility, covering customer hours. |
| 12126 | 12 hours | 6 | Police, fire departments, intensive project phases | Intense schedule with only one day off per week. |
| 935 | 9 am – 3 pm | 5 | Part-time workers, flexible work for parents | Shorter shifts for part-time or flexible work. |
| 24/7 | 24 hours on-call | 7 | On-call IT support, doctors, maintenance engineers | On-call availability at all times, often in critical industries. |
| 995 | 9 am – 9 pm | 5 | Law firms during peak cases, financial consulting | Intense daily hours but retains a full weekend off. |
| 686 | 6 am – 8 pm | 6 | Logistics and delivery services during peak seasons | Demanding work schedule, nearly full-week work. |
| 343 | 3 pm – 4 am | 3 | Nightclubs, security services, night-shift operations | Night shifts covering late hours. |
| 844 | 8 am – 4 pm | 4 | Small businesses, some consulting or remote teams | Shorter workweek with standard daily hours. |
| 12136 | 12 hours | 3 (on), 6 (off) | Offshore drilling, rotational workers in remote locations | Rotational schedule, intensive work followed by rest days. |
Paid Guest Post Pricing
GOOGLE REQUEST FORM
Looking to elevate your website’s SEO, gain authority, and reach a highly relevant audience?
josuamarcelc.com is now offering Premium Guest Post Placement for just $50 per article!
With solid domain authority and a tech-savvy audience, our platform is an ideal choice for businesses in software development, PHP, web engineering, and digital marketing niches.
✅ What’s Included in the $50 Package:
- 📄 500+ Words of Original Content
We craft a professionally written article tailored to your niche, ensuring it delivers value to our readers and aligns with your goals. - 🔗 1 Do-Follow Link + Keyword
You choose one keyword and one target URL. We’ll insert it naturally into the content to ensure maximum SEO benefit. - 📈 Authoritative Placement
Gain a high-quality backlink from a domain with growing authority and authentic traffic.
💡 Why Publish on josuamarcelc.com?
- SEO Benefits: Improve your search rankings with contextual, do-follow backlinks.
- Relevant Audience: Targeted readers interested in PHP, software, and tech.
- Fast Turnaround: Get your content live quickly with clear communication.
- Affordable & Scalable: Start small or scale with generous bulk discounts.
🌱 Our Ethical Standards
We believe in supporting healthy, impactful businesses. That’s why we strictly do not accept guest posts that promote or link to:
🚫 Drugs
🚫 Human trafficking
🚫 Gambling or betting
🚫 Pornography or adult content
🚫 Black hat SEO techniques or link schemes
🚫 Scams or phishing or deceptive business models
Our mission is to help ethical businesses grow and contribute to a healthier, more responsible digital world.
📋 Guest Post Guidelines:
- Content Type: We only accept professional, informative, and valuable articles.
- Prohibited Topics: No content related to pornography, gambling, drugs, spam, or scams.
- Link Quality: Only relevant, high-quality URLs will be accepted.
- Niche Compatibility: Content must relate to software, tech, or business topics.
🛠️ How to Get Started
- Email us with your topic, keyword, and target URL.
- Once approved, we’ll handle the writing and publishing.
- Your post goes live shortly after payment.
📌 FAQ — Frequently Asked Questions
1. Can you provide samples?
Yes! Contact us to request recent examples of published guest posts.
2. Are these posts on a PBN (Private Blog Network)?
No. Our websites are real, with genuine traffic and organic search value.
3. Can I choose the niche of the site?
Absolutely. Contact us to explore our available niche-specific domains.
4. Do you offer bulk discounts?
Yes! We offer lifetime tiered discounts:
| Tier | Posts Ordered | Discount |
|---|---|---|
| 1 | 5–10 | 5% |
| 2 | 11–15 | 10% |
| 3 | 16–20 | 15% |
| 4 | 21–30 | 20% |
| 5 | 31–50 | 25% |
| 6 | 51–99 | 30% |
| 7 | 100+ | 35% |
Discounts are lifetime-based, meaning once you reach a tier, you keep that discount forever.
5. What’s your refund policy?
You may request a refund any time before the delivery of the report.
Once the guest post is delivered with links, no refunds will be issued unless we fail to publish the post as agreed.
6. What is your TAT (Turnaround Time)?
Guest posts are typically delivered within 2–4 business days after payment. Bulk orders may take slightly longer depending on volume and site queue.
🎯 Ready to Amplify Your Brand?
Whether you’re improving SEO, boosting authority, or increasing visibility, a guest post on josuamarcelc.com is a smart, budget-friendly step.
📩 Contact us now with your topic, keyword, and URL — and let’s publish something powerful.
Google Cloud Skills Boost
| Title | Earned | Certification |
| Detect, Respond, and Recover from Cloud Cybersecurity Attacks | Jun 14, 2024 EDT | Certification Link |
| Put It All Together: Prepare for a Cloud Security Analyst Job | Jun 10, 2024 EDT | Certification Link |
| Cloud Security Risks: Identify and Protect Against Threats | May 28, 2024 EDT | Certficiation Link |
| Strategies for Cloud Security Risk Management | May 28, 2024 EDT | Certification Link |
| Introduction to Security Principles in Cloud Computing | May 27, 2024 EDT | Certification Link |
| Introduction to Responsible AI | May 26, 2024 EDT | Certification Link |
| Introduction to Large Language Models | May 25, 2024 EDT | Certification Link |
| Prompt Design in Vertex AI | May 25, 2024 EDT | Certification Link |
| Responsible AI: Applying AI Principles with Google Cloud | May 26, 2024 EDT | Certification Link |
| Introduction to Generative AI | May 24, 2024 EDT | Certification Link |
| Derive Insights from BigQuery Data | Oct 23, 2022 EDT | Certification Link |
Detect, Respond, and Recover from Cloud Cybersecurity Attacks
This is the fourth of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll focus on developing capabilities in logging, security, and alert monitoring, along with techniques for mitigating attacks. You’ll gain valuable knowledge in customizing threat feeds, managing incidents, handling crisis communications, conducting root cause analysis, and mastering incident response and post-event communications. Using Google Cloud tools, you’ll learn to identify indicators of compromise and prepare for business continuity and disaster recovery. Alongside these technical skills, you’ll continue updating your resume and practicing interview techniques.
Put It All Together: Prepare for a Cloud Security Analyst Job
This is the fifth of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll combine and apply key concepts such as cloud security principles, risk management, identifying vulnerabilities, incident management, and crisis communications in an interactive capstone project. Additionally, you’ll finalize your resume updates and put to practice all the new interview techniques you’ve learned, preparing you to confidently apply for and interview for jobs in the field.
Cloud Security Risks: Identify and Protect Against Threats
This is the third of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll explore the principles of identity management and access control within a cloud environment, covering key elements like AAA (Authentication, Authorization, and Auditing), credential handling, and certificate management. You’ll also explore essential topics in threat and vulnerability management, cloud-native principles, and data protection measures. Upon completing this course, you will have acquired the skills and knowledge necessary to secure cloud-based resources and safeguard sensitive organizational information. Additionally, you’ll continue to engage with career resources and hone your interview techniques, preparing you for the next step in your professional journey.
Strategies for Cloud Security Risk Management
This is the second of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll explore widely-used cloud risk management frameworks, exploring security domains, compliance lifecycles, and industry standards such as HIPAA, NIST CSF, and SOC. You’ll develop skills in risk identification, implementation of security controls, compliance evaluation, and data protection management. Additionally, you’ll gain hands-on experience with Google Cloud and multi-cloud tools specific to risk and compliance. This course also incorporates job application and interview preparation techniques, offering a comprehensive foundation to understand and effectively navigate the complex landscape of cloud risk management.
Introduction to Security Principles in Cloud Computing
This is the first of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll explore the essentials of cybersecurity, including the security lifecycle, digital transformation, and key cloud computing concepts. You’ll identify common tools used by entry-level cloud security analysts to automate tasks.
Introduction to Responsible AI
This is an introductory-level microlearning course aimed at explaining what responsible AI is, why it’s important, and how Google implements responsible AI in their products. It also introduces Google’s 7 AI principles.
Responsible AI: Applying AI Principles with Google Cloud
This course, Responsible AI: Applying AI Principles with Google Cloud – Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Responsible AI: Applying AI Principles with Google Cloud. As the use of enterprise Artificial Intelligence and Machine Learning continues to grow, so too does the importance of building it responsibly. A challenge for many is that talking about responsible AI can be easier than putting it into practice. If you’re interested in learning how to operationalize responsible AI in your organization, this course is for you. In this course, you will learn how Google Cloud does this today, together with best practices and lessons learned, to serve as a framework for you to build your own responsible AI approach.
Prompt Design in Vertex AI
Complete the introductory Prompt Design in Vertex AI skill badge to demonstrate skills in the following: prompt engineering, image analysis, and multimodal generative techniques, within Vertex AI. Discover how to craft effective prompts, guide generative AI output, and apply Gemini models to real-world marketing scenarios. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge course and the final assessment challenge lab to receive a skill badge that you can share with your network.
Introduction to Large Language Models
This is an introductory level micro-learning course that explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance. It also covers Google tools to help you develop your own Gen AI apps.
Introduction to Generative AI
This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. It also covers Google Tools to help you develop your own Gen AI apps.
Derive Insights from BigQuery Data
Complete the introductory Derive Insights from BigQuery Data skill badge to demonstrate skills in the following: write SQL queries, query public tables, load sample data into BigQuery, troubleshoot common syntax errors with the query validator in BigQuery, and create reports in Looker Studio by connecting to BigQuery data. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge course, and the final assessment challenge lab, to receive a skill badge that you can share with your network.
Referrence: https://www.cloudskillsboost.google/profile/badges