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tamanna31 · 2 months

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Asia Pacific Ice Cream 2024 Industry – Challenges, Drivers, Outlook, Segmentation - Analysis to 2030

Asia Pacific Ice Cream Market

The Asia Pacific ice cream market size was estimated at USD 42.15 billion in 2023 and is projected to grow at a CAGR of 4.9% from 2024 to 2030. The Asia-Pacific market is experiencing growth due to consumers having higher disposable incomes and a preference for purchasing high-quality ice cream products. This growth is fueled by the increasing demand for food items like ice cream and frozen desserts in the region, with disposable income being primarily allocated towards food purchases.

The rise in ice cream production is supported by the expanding dairy market in the Asia-Pacific region. The trend of health-conscious consumers seeking ice creams with functional and health benefits is further driving the demand for high-quality products made with ingredients like mung bean and other nutritious components.

Gather more insights about the market drivers, restrains and growth of the Asia Pacific Ice Cream Market

The increasing popularity of premium ice creams in the region is anticipated to be a key driver for market growth. Manufacturers are introducing new ice cream innovations, like sugar-free plant-based varieties, to cater to consumer preferences, thereby fueling the market growth of the Asia Pacific ice cream industry in the forecast period. In March 2024, Eclipse Foods, the plant-based ice cream brand known for its commitment to replicating the creamy texture and rich flavors of traditional dairy, launched its latest innovation: Eclipse Bonbons. This exciting new line takes the brand's signature non-dairy ice cream to a whole new level of indulgence, offering a luxurious treat that rivals the most decadent chocolate-covered ice cream bonbons.

Major players in the Asia Pacific market are investing heavily in research and development to introduce new and innovative flavor varieties of ice creams. In April 2024, Havmor, a brand under LOTTE Wellfood Co. Ltd, launched a fresh lineup of ice cream flavors just in time for the upcoming summer heatwave. The range features a mix of traditional favorites and contemporary twists. From classics like Shahi Kesar and Rajwadi Kulfi to modern delights such as Blueberry Cheesecake, Cookie and Cream cones, and ice cream sandwiches. It also added seasonal treats like Jaljeera & Kalakhatta, Ratnagiri Hapus, and rose-flavored ice cream for a cool and revitalizing indulgence.

The increasing expenditure on ice creams in Asian countries such as India, Japan, and New Zealand is projected to support market growth. For instance, according to Japan’s Ministry of Internal Affairs and Communications (MIC), expenditure on ice cream among Japanese consumers witnessed a 135% growth between 2011 and 2020.

Asia Pacific is characterized by an increasing demand for high-end ice creams. The changing consumption habits of consumers and the vast diversity in the region have led to the demand for varied flavor combinations and innovative ice creams. The region has also witnessed the introduction of new brands to the market, which has led to positive competition in the industry. For instance, Chicecream is a premium ice cream brand in China that focuses on high-end and creative ice creams. Founded in 2018, Chicecream was the No. 1 brand in terms of sales in the ice product sector on Tmall in 2020 and 2021. It is also immensely popular at China's annual Double 11 and 618 shopping festivals.

Browse through Grand View Research's Consumer F&B Industry Research Reports.

The global chicory coffee market size was estimated at USD 216.61 million in 2023 and is projected to grow at a CAGR of 6.5% from 2024 to 2030.

The global human grade pet food market size was estimated at USD 2.41 billion in 2023 and is expected to grow at a CAGR of 6.6% from 2024 to 2030.

Asia Pacific Ice Cream Market Report Segmentation

This report forecasts revenue growth in Asia Pacific and country levels and provides an analysis of the latest industry trends from 2018 to 2030 in each of the sub-segments. For this study, Grand View Research has segmented the Asia Pacific ice cream market report based on source, flavor, packaging, distribution channel, and country:

Source Outlook (Volume, Million Liters; Revenue, USD Million, 2018 - 2030)

Dairy & Water-based

Vegan

Flavor Outlook (Volume, Million Liters; Revenue, USD Million, 2018 - 2030)

Vanilla

Chocolate

Fruit

Cookie & Cream

Nut

Others

Packaging Outlook (Volume, Million Liters; Revenue, USD Million, 2018 - 2030)

Cartons

Tubs

Cups

Cones

Bars

Distribution Channel Outlook (Volume, Million Liters; Revenue, USD Million, 2018 - 2030)

Hypermarkets & Supermarkets

Convenience Stores

Ice Cream Parlor

Online

Others

Country Outlook (Volume, Million Liters; Revenue, USD Million, 2018 - 2030)

Hong Kong

Taiwan

South Korea

Thailand

Singapore

Indonesia

Australia

New Zealand

Japan

Key Asia Pacific Ice Cream Companies:

Nestle SA

General Mills Inc.

Appolo Ice Cream Co Ltd;

Unilever PLC

Yili Group

CAMPINA ICE CREAM INDUSTRY Tbk.

Diamond Food Indonesia

Dairy Bell Ice Cream

PT. United Family Food

Froneri International Limited

Recent Developments

In January 2024, Singapore's OATSIDE has recently broadened its range by introducing a new line of ice cream, leveraging its distinctive oat milk as the primary component. This fresh ice cream collection is currently offered in three flavors: chocolate, peanut butter cookie dough, and coffee with mini chocolate chips

In March 2023, Chinese dairy giant Mengniuhas taken a significant step in expanding its global reach with the completion of the most extensive smart ice cream factory in Southeast Asia (ASEAN). This new facility, operated by its subsidiary brand Aice Group, marks a historic moment for the Philippines - it is the country's first intelligent ice cream factory

In March 2023, Healthy ice cream brand NOTO introduced three new Indian-flavored gelatos that are denser, richer, and creamier, containing half the fat and sugar. Each of these flavors has a significant historical connection with the Indian palate, resonating deeply with consumers.

Order a free sample PDF of the Asia Pacific Ice Cream Market Intelligence Study, published by Grand View Research.

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data-science-articles · 1 year

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Various job roles after Data Science course

In 2019, there were 97,000 analytics and data science job vacancies in India, according to latest figures. Data scientists will remain in high demand.

According to the Economic Times, by 2020, there will be over 2 lakh job vacancies in data science. Because of the advancement of data science, industries may now make careful data-driven judgements.

According to studies, the need for data scientists is increasing at an exponential rate, notably in the BFSI (Banking, Financial Services, and Insurance), energy, pharmaceutical, and e-commerce businesses. The title of "Sexiest Employment of the Twenty-First Century" has been conferred to data science.

How to get a job after pursuing Data Science

Let's take a look at how to become a data scientist and how to get work in the industry.

Bachelor's Degree - To get a head start in data science, consider pursuing a bachelor's degree in mathematics, statistics, or computer science. But, if you hold a degree in a different field of study, you may always enrol in online certification programmes and courses to gain the essential skills.

Improve Your Skills - Technological talents are essential for the type of job that a data scientist undertakes. Some of these include programming language skills, machine learning techniques, data visualisation, statistics, arithmetic, and so on. They are not, however, the only ones that are relevant. You will face difficult situations that will require extra skills such as effective communication, leadership, collaboration, and so on.

Choose a specialisation - Specialisations are typically preferable to developing a specialised area of interest. Choose a speciality, such as database administration, artificial intelligence, research, or machine learning, and focus your efforts on honing your skills in that area. If you accomplish so, both your earning potential and the quantity of opportunities will increase.

Take a Job/Internship - The best way to learn about data science is to get a job (either part-time or full-time) or an internship, ideally in an entry-level position. It will not be enough to just specialise and acquire new skills. Working is the only way to learn about data science and obtain valuable experience. You will also be able to develop a portfolio to submit to potential employers. Select a company that has opportunity for growth or a small corporation where you may do a range of roles. As a consequence, you will improve your skills.

Obtain a Degree in Data Science - The next step is to supplement your present knowledge with a formal degree. After you've shown your ability on the job, you'll know where your interests lie. You should seek a master's degree in data science now that you've honed your skills in your chosen field. Individuals who do not wish to commit for an extended period of time can always select from the several certifications available.

In India, the job market is hesitant to hire a young data scientist. Everyone out there wants at least two years of experience, but how will we get it?

Creating a portfolio is critical in this situation. As you are a freshman, I assume you acquired data science through online classes. The analytical skills required to clean data and apply machine learning algorithms to it are only learned via experience; they only teach you the essentials.

Publish all of your projects on sites like GitHub so that a recruiter can see that you have practical experience and are familiar with the fundamentals when they look at your profile. This will get you a long way. A technical portfolio will illustrate the information you have previously learned when you are a recent graduate seeking a job as a data scientist.

Job Roles in Data Science Career

Data Analyst - Data analysts are in charge of a wide range of responsibilities, including data visualisation, munging, and processing. They must also run queries on the databases on occasion. Optimization is one of the most crucial talents of a data analyst. This is due to the fact that they must develop and tweak algorithms that can be utilised to extract information from some of the world's largest databases without altering the data. SQL, R, SAS, and Python are some of the most popular data analysis technologies. As a result, accreditation in these areas can readily increase your job applications. You should also be skilled at problem solving.

Data Engineers - Data engineers create and test scalable Big Data ecosystems for organisations so that data scientists may run their algorithms on reliable and well optimised data platforms. To boost database performance, data engineers also update old systems with newer or improved versions of current technology. If you want to work as a data engineer, you should be familiar with the following technologies: Hive, NoSQL, R, Ruby, Java, C++, and Matlab. It would also be advantageous if you are familiar with major data APIs and ETL technologies.

Database Administrator - A database administrator's job description is fairly self-explanatory: they are responsible for the correct operation of all of an enterprise's databases and provide or revoke its services to the company's personnel based on their needs. They are also in charge of database backups and recovery. A database administrator's important abilities and talents include database backup and recovery, data security, data modelling and design, and so on. It's a big plus if you're adept at catastrophe management.

Machine Learning Engineer - Nowadays, machine learning engineers are in high demand. Nonetheless, the work profile is not without its difficulties. Machine learning engineers are required to do A/B testing, design data pipelines, and implement common machine learning algorithms such as classification, clustering, and so on, in addition to having in-depth understanding of some of the most powerful technologies such as SQL, REST APIs, and so on. To begin, you should be familiar with technologies such as Java, Python, and JavaScript. Second, you should be well-versed in statistics and mathematics. After you've mastered both, it'll be much easier to land a job interview.

Data Scientist - Data scientists must understand business concerns and provide the best solutions through data analysis and processing. For example, they are expected to execute predictive analysis and sift through "unstructured/disorganised" data to provide actionable insights. They can also do so by recognising trends and patterns that will assist businesses in making better judgements. To become a data scientist, you must be proficient in R, MatLab, SQL, Python, and other related technologies. It can also benefit if you have a higher degree in mathematics, computer engineering, or something similar.

Data Architect - A data architect builds data management plans so that databases may be readily connected, consolidated, and secured with the greatest security methods. They also guarantee that the data engineers have access to the best tools and technologies. A profession in data architecture necessitates knowledge of data warehousing, data modelling, extraction, transformation, and loan (ETL), among other things. You should also be familiar with Hive, Pig, and Spark.

Statistician - A statistician, as the name implies, is well-versed in statistical theories and data organisation. They not only extract and provide significant insights from data clusters, but they also contribute to the development of new approaches for engineers to use. A statistician must be passionate about reasoning. They are also proficient in a wide range of database systems, including SQL, data mining, and numerous machine learning technologies.

#datascience #python #career #education #coding #courses

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skillslash · 1 year

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Various job roles after Data Science course

Introduction

In 2019, there were 97,000 analytics and data science job vacancies in India, according to latest figures. Data scientists will remain in high demand.

According to the Economic Times, by 2020, there will be over 2 lakh job vacancies in data science. Because of the advancement of data science, industries may now make careful data-driven judgements.

How to get a job after pursuing Data Science

Let's take a look at how to become a data scientist and how to get work in the industry.

In India, the job market is hesitant to hire a young data scientist. Everyone out there wants at least two years of experience, but how will we get it?

Job Roles in Data Science Career

Conclusion

Given the fast-paced nature of data science, it is critical to keep up with new developments. Data science occupations have expanded and evolved in every field throughout time. Programming languages, software, tools, and technologies that are always growing and becoming more powerful will define data science. To be more industry-relevant and to have a successful data science employment, keep up with market trends. Now that you have a better understanding of how to get work, I'd like to attract your attention to an ed-tech platform that offers intermediate and advanced level certification courses. As the name suggests, Skillslash prioritises skills above academic qualifications, which is most important in this domain. The most important material for students and enthusiasts who want to thrive in this field is condensed into Skillslash courses like Business analytics and Advanced Data Science & AI.

#data science certification #data science course #data science training #data science

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ellinapark · 1 year

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Plant-Based Shrimp Market Will Hit Big Revenues In Future | Biggest Opportunity Of 2023

Latest Report Available at Advance Market Analytics, “Plant-Based Shrimp Market” provides pin-point analysis for changing competitive dynamics and a forward looking perspective on different factors driving or restraining industry growth.The global Plant-Based Shrimp market focuses on encompassing major statistical evidence for the Plant-Based Shrimp Industry as it offers our readers a value addition on guiding them in encountering the obstacles surrounding the market. A comprehensive addition of several factors such as global distribution, manufacturers, market size, and market factors that affect the global contributions are reported in the study. In addition the Plant-Based Shrimp study also shifts its attention with an in-depth competitive landscape, defined growth opportunities, market share coupled with product type and applications, key companies responsible for the production, and utilized strategies are also marked.

Some key players in the global Plant-Based Shrimp market are:

New Wave Foods, Inc. (United States)

Happy Ocean Foods (Germany)

Van Cleve Seafood (United States)

Vegan ZeaStar (Netherlands)

The Plant-Based Seafood Co. (United States)

BeLeaf vegan (United States)

Loving Hut (Korea)

Sophie's Kitchen (United States) Plant-based shrimp is a vegan alternative to real shrimp fish. It is made up of red and green algae, sea salt, agave syrup, mung beans, soya beans, etc. although it tastes exactly the same as real shrimp does. The market of plant-based shrimp has huge prospectus not just economically but also environmentally as fishing of shrimps results in the destruction of mangroves and natural ecosystem collapse due to excessive shrimp fishing.What's Trending in Market: Innovation in Animal-Based Diet to Vegan Alternatives

Challenges: Cost of Plant-Based Shrimps is Very High Compared to Real Shrimp Fish, thus due to High Costs, the Growth of Plant-Based Shrimps is Going to Face Low Growth Limited to Rich Income Economies

False Perception about Plant-Based Shrimps Taste More Plant Like than Meaty or Fishy

Market Growth Drivers: Increased Conciseness about Sustainability Among Masses Regarding Environment and Marine Life Protection

Stringent Govt. Policies Regarding Over Fishing and Degradation of Mangroves Due to Excessive Fishing

Increased Investments by Venture Capitalists in New Food Products and Food ChainsThe Global Plant-Based Shrimp Market segments and Market Data Break Downby Type (Frozen Plant-Based Shrimp, Shelf Stable Plant-Based Shrimp), End Users (Food Service Industry, Individual Households, Others), Raw Materials (Red and Green Algae, Soya Bean, Peas, Mung Beans, Others), Sales Channel (Online, Offline)

Presented By

AMA Research & Media LLP

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suyashresearchlayer · 1 year

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Latest Research Report on Bean Sprouts Market by Application, Industry Share, End User, Opportunity Analysis 2030 with top players Henan Lvsezhongyuan, Zhengzhou New Village, Ningbo Wulongtan, Anhui Anxin, Chengdu Ande, etc

Bean sprouts are a popular ingredient in many cuisines, particularly in Asian cuisine, and can be found in various forms, including mung bean sprouts and soybean sprouts. The bean sprouts market refers to the industry that produces, distributes, and sells bean sprouts to consumers.

The global bean sprouts market is growing due to increasing demand for healthy and organic food products, as well as the popularity of plant-based diets. The market is segmented by type (mung bean sprouts, soybean sprouts, and others), application (food and beverage, pharmaceuticals, and others), and distribution channel (supermarkets and hypermarkets, specialty stores, and online retailers).

Asia-Pacific is the largest market for bean sprouts, with China, Japan, and South Korea being the major producers and consumers. However, the market is also growing in North America and Europe, where there is a rising interest in healthy eating and vegetarianism.

The key players in the bean sprouts market include Daesang Corporation, Henan Lvsezhongyuan, Pulmuone Foods, The Soybean Company, and Fuji Natural Foods. These companies focus on product innovation, expanding their distribution networks, and strategic partnerships to gain a competitive edge in the market.

Overall, the bean sprouts market is expected to continue to grow in the coming years as consumers increasingly seek healthy and plant-based food options.

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codesolutionstuff1 · 2 years

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TOP 10 IN-DEMAND DATA ANALYTICS SKILLS TO LEARN IN 2022

Data science is a game-changing technology that has become increasingly popular in an extensive number of industries.

Click Here for More: https://www.codesolutionstuff.com/top-10-in-demand-data-analytics-skills-to-learn-in-2022/

Table of Content

Machine Learning

Python

Cloud Computing

Deep Learning

Tableau

Google Colab

Statistics

Data Visualisation

Artificial Intelligence (AI)

Data science is a game-changing technology that has become increasingly popular in an extensive number of industries. The demand for data scientists has been steadily increasing over the last few years. Many companies, such as yours and mine, are looking to hire a professional who can handle our company’s ever-growing volume of data. Data scientists are responsible for making the most of all business data, so I know this job is perfect for you. Data scientists are in high demand, with a shortage of skilled professionals to take on the task. When looking to hire someone for this position, it is important to consider an online program that can ensure candidates are well versed in both new techniques and technology.

Visualization is becoming a very important way of making sense of the Excel or Google Sheets which are becoming increasingly common. This will happen as big data becomes more common; the age of machine-analysis has already arrived. Data Visualisation is a powerful way of converting data into something easier to understand. It can make patterns clear, show the most important numbers and present data in a way that’s easy to understand. Infographics offer a unique way to make your data more understandable but it’s not as easy as adding an “info” element. You also need to balance between the way information is presented with its functionality. For example, people will be more interested in this infographic since it combines aesthetics and functionality by using visuals that convey the data sets you are representing. The success of a graph lies in the details. The lack of any detail can make it unnoticeable or unclear, but on the other hand if too much is included it may detract from the main idea or “say” too much. It’s no secret that making data work together is an art form. Here are the top 10 skills you should study if you want to be a data scientist in 2022

1. Machine Learning

A lot of organizations use machine learning algorithms to predict upcoming events. It’s important for these companies to hire data science experts who can create effective analytics algorithms. Data scientists are also able to go a step further and analyze the data further using machine learning technology. To learn more about the importance of machine learning in data science, you should consider enrolling in our ‘PG Program in Data Analytics and ML.’

2. Python

Python has popularised itself as a Data Science language due to its simplicity. Python is great for: data munging, analysis, and visualization of data. Python is one of the most commonly-used languages among data scientists. There are many different things they work on and Python makes it easy to start doing them all. This can help your business grow, as did happen with my company.

3. R

R is another popular programming language in the data science field. It’s very easy to learn if you use a reputable online course. It’ll teach you all about Data Science through practical examples and lectures. R is great for pulling critical data from huge datasets. This makes it the perfect language for anyone who needs to work with data in a variety of sectors, like healthcare, e-commerce and finance.

4. Cloud Computing

Many firms are turning to cloud computing to simplify their IT infrastructure. It’s been proven as a reliable way of keeping up with the latest technology trends. The data analytics course at Imarticus Learning, for example, can help you get ahead in this field.

5. Deep Learning

Deep learning is being used for a wide range of tasks, such as speech recognition, natural language processing, robotics and more. It can help us advance our careers by assisting data scientists in their work

6. Tableau

Tableau is used by businesses worldwide to visualize and analyze data. A huge benefit of Tableau is being able to view the data in easy-to-grasp dashboards. Tableau can connect to many data sources, which gives data scientists a lot of options. To learn more about Tableau read ‘Imarticus Learning’s Pro-Degree Program in Data Science’.

7. Google Colab

Google Colab is a browser-based platform that enables users to run Python code. The Data Analytics course offered by Imarticus Learning can help you understand the benefits of using Google Colab. The PG Program in Analytics & AI educates students about Google Colab and its position in the business.

8. Statistics

Statistical skills are very important when it comes to data sorting, sampling, and analysis. An understanding of the principals involved in these processes will allow you to develop an effective machine learning algorithm that can extract valuable insights from unstructured data sets.Data scientists are required to carry out statistical analysis on their dataset to check for patterns – Imarticus offers the best resource for learning about this topic.

9. Data Visualization

It is not possible for data scientists to communicate their findings with words alone. Visuals are essential for people to understand the information you are trying to communicate. The best data scientists will have expert skills in data visualisation, which allow them to provide the information in a way that everyone can understand and take action quickly.

10. Artificial Intelligence (AI)

Adding artificial intelligence can help you automate analysis & forecast accuracy. Data scientists are using AI to generate real-time insights from large datasets – and it’s the most in-demand skill right now!

I hope you will like the content and it will help you to learn the TOP 10 IN-DEMAND DATA ANALYTICS SKILLS TO LEARN IN 2022. If you like this content, do share it.

Read More: https://www.codesolutionstuff.com/

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codesolutionsstuff · 2 years

Text

TOP 10 IN-DEMAND DATA ANALYTICS SKILLS TO LEARN IN 2022

Data science is a game-changing technology that has become increasingly popular in an extensive number of industries.

Table of Content

- Machine Learning - Python - R - Cloud Computing - Deep Learning - Tableau - Google Colab - Statistics - Data Visualisation - Artificial Intelligence (AI) Data science is a game-changing technology that has become increasingly popular in an extensive number of industries. The demand for data scientists has been steadily increasing over the last few years. Many companies, such as yours and mine, are looking to hire a professional who can handle our company's ever-growing volume of data. Data scientists are responsible for making the most of all business data, so I know this job is perfect for you. Data scientists are in high demand, with a shortage of skilled professionals to take on the task. When looking to hire someone for this position, it is important to consider an online program that can ensure candidates are well versed in both new techniques and technology. Visualization is becoming a very important way of making sense of the Excel or Google Sheets which are becoming increasingly common. This will happen as big data becomes more common; the age of machine-analysis has already arrived. Data Visualisation is a powerful way of converting data into something easier to understand. It can make patterns clear, show the most important numbers and present data in a way that's easy to understand. Infographics offer a unique way to make your data more understandable but it’s not as easy as adding an “info” element. You also need to balance between the way information is presented with its functionality. For example, people will be more interested in this infographic since it combines aesthetics and functionality by using visuals that convey the data sets you are representing. The success of a graph lies in the details. The lack of any detail can make it unnoticeable or unclear, but on the other hand if too much is included it may detract from the main idea or "say" too much. It's no secret that making data work together is an art form. Here are the top 10 skills you should study if you want to be a data scientist in 2022

1. Machine Learning

A lot of organizations use machine learning algorithms to predict upcoming events. It's important for these companies to hire data science experts who can create effective analytics algorithms. Data scientists are also able to go a step further and analyze the data further using machine learning technology. To learn more about the importance of machine learning in data science, you should consider enrolling in our ‘PG Program in Data Analytics and ML.’

2. Python

3. R

R is another popular programming language in the data science field. It's very easy to learn if you use a reputable online course. It'll teach you all about Data Science through practical examples and lectures. R is great for pulling critical data from huge datasets. This makes it the perfect language for anyone who needs to work with data in a variety of sectors, like healthcare, e-commerce and finance.

4. Cloud Computing

Many firms are turning to cloud computing to simplify their IT infrastructure. It's been proven as a reliable way of keeping up with the latest technology trends. The data analytics course at Imarticus Learning, for example, can help you get ahead in this field.

5. Deep Learning

6. Tableau

Tableau is used by businesses worldwide to visualize and analyze data. A huge benefit of Tableau is being able to view the data in easy-to-grasp dashboards. Tableau can connect to many data sources, which gives data scientists a lot of options. To learn more about Tableau read 'Imarticus Learning's Pro-Degree Program in Data Science'.

7. Google Colab

8. Statistics

Statistical skills are very important when it comes to data sorting, sampling, and analysis. An understanding of the principals involved in these processes will allow you to develop an effective machine learning algorithm that can extract valuable insights from unstructured data sets.Data scientists are required to carry out statistical analysis on their dataset to check for patterns - Imarticus offers the best resource for learning about this topic.

9. Data Visualization

10. Artificial Intelligence (AI)

Adding artificial intelligence can help you automate analysis & forecast accuracy. Data scientists are using AI to generate real-time insights from large datasets - and it's the most in-demand skill right now! I hope you will like the content and it will help you to learn the TOP 10 IN-DEMAND DATA ANALYTICS SKILLS TO LEARN IN 2022. If you like this content, do share it. Read the full article

#ArtificialIntelligence(AI)#DeepLearning #GoogleColab #MachineLearning #Python #R #Tableau

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rudrjobdesk · 2 years

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छत्तीसगढ़: डॉक्टर को बेरहमी से पीटा, सदमे में आया पीड़ित, आक्रोश फैला, 3 युवक गिरफ्तार

मुंगेली. छत्तीसगढ़ के मुंगेली जिले (Mungeli) के लोरमी शासकीय अस्पताल में ड्यूटी पर कार्यरत एक डाक्टर की बेरहमी से पिटाई (Doctor brutally thrashed) का मामला सामने आया है. घटना शुक्रवार रात की बताई जा रही है. वहां एक मरीज अस्पताल पहुंची थी. उसके साथ कुछ अन्य युवक भी अस्पताल पहुंचे थे. उन्होंने पहले तो ड्यूटी पर तैनात डाक्टर और स्टाफ से जमकर बहस की. बाद में ड्यूटी पर तैनात डॉक्टर की जमकर पिटाई कर…

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#Chhattisgarh latest News #Chhattisgarh News #chhattisgarh news in hindi #Doctor brutally beaten in Chhattisgarh #Doctor brutally thrashed in Mungeli #Doctor thrashed badly in Lormi #Doctor thrashed in Mungeli #heart wrenching incident of Doctor thrashed in Mungeli #mungeli crime news #mungeli latest news #Mungeli News #video of doctor beating viral in chhattisgarh #छत्तीसगढ़ ताजा समाचार #छत्तीसगढ़ में डॉक्टर की पिटाई का वीडियो वायरल #छत्तीसगढ़ में डॉक्टर को बेरहमी से पीटा #छत्तीसगढ़ समाचार #छत्तीसगढ़ समाचार हिन्दी में #मुंगेली क्राइम न्यूज #मुंगेली ताजा समाचार #मुंगेली में डॉक्टर को क्रूरतापूर्वक पीटा #मुंगेली में डॉक्टर को पीटा #मुंगेली में दिल को दहला देने वाली वारदात #मुंगेली समाचार #लोरमी में डॉक्टर की बुरी तरह से पिटाई

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hobidreams · 4 years

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Moonlit Throne historical clarifications/references

i want to accurately represent the history from the joseon era, but sometimes for the sake of story/ease of accessibility, things had to be minorly changed. the following is a list of creative choices/changes i make in the writing of Moonlit Throne, as well as further information about the history/culture that i’ve found through my own research 💓 i hope this can also provide some more context for those interested. this list is to be updated as the series progresses so i always recommend you read the latest drabble before checking for more info here for risk of spoilers. please correct me if i get any info wrong!!

for even more information about the world, check out the tag #moonlit history!

last updated: after drabble 43!

new information for the latest drabble will be under the moon.

king gwanghae - as mentioned in the line “gwanghae flow” & in the rest of the MV, Daechwita was inspired by this historical king & the movie about him. Moonlit Throne is not inspired by any king. any event that is similar is purely coincidental!

topknot - various sources state that only married men were allowed to wear their hair up, though this is often not the case in popular korean media. even though Yoongi is unmarried, i chose to pay homage to the daechwita MV & give him a topknot throughout the series. *** same goes for the blonde hair color!

months - traditionally, they followed the lunar calendar in the Joseon era. but i thought that that would be a bit difficult to explain for modern audiences so i am choosing to use the months/modern equivalents of dates.

yoongi’s scar - i am aware that Scarlet Heart Ryeo depicts the facial scar as a reason that someone could not become king. i haven’t found much on this in the way of historical sources, so it’s not a factor in my series!

uinyeo - aka. reader’s mom, and eventually reader herself. at the time, it was believed that women could not be treated by male doctors due to the shame of showing a man their body, even in a medical context. this position was generally occupied by a woman that was ranked below middle-class & commoner (think merchants/fishermen/etc.) as it was not a very desireable role. reader’s mom, Eun-a, is the head uinyeo, which is why she is called “su-uinyeo-nim” by others.

***i haven’t found any information that says men couldn’t be treated by women due to the Confucius beliefs, so at least in this story, reader helps out the male physicians from time to time.

eunuch - eunuchs were impotent or castrated men (had all or part of their genitals removed) who worked within the palace walls, serving and attending the royal family. they had their own hierarchy, like head eunuch, etc. it was possible for eunuchs to marry & have families of their own.

***Eunuch Kim has a 🍆! it’s just his testicles that were removed.

yoongi’s name - technically kings use temple names that end in jo or jong instead of their given names, but i’m keeping it as Yoongi!!

age - it’s revealed in the march 1858 drabble that Yoongi is officially turning 10 years old that year, but this is in Korean age. his birth year is 1849, which would make him 9 years old in age as we know it internationally. Korean tradition dictates that people age up at the start of the new year (Jan 1), not on their actual birthday. traditionally, they also add an extra year as they consider the baby 1 year old at birth, not 0 years old. to do the math, reader is two years older than him, which would make her born in 1847 & turning 12 that year!

*** the average life expectancy around that time was ~35-40, so their understanding of a teenager would be very different than ours, at least in terms of maturity. thus, even though the main characters are relatively young by today’s standards, i’ve written them to come off as older. UPDATED INFO: it seems court ladies could live up to rather elderly ages, even up to 70, so i’m not sure if the earlier statistic was just mainly for men.

birthdays - i couldn’t find any information about whether they celebrated the actual day of birth as well back then, only about 100 day milestones, etc. but it is part of Korean culture to celebrate the birthday in modern times, so i kept it in.

jeonha - similar to mama, this is how you refer to the king as an equivalent to “Your Majesty”. wangseja-jeonha is the full title for the crown prince. usually people just call him seja-jeonha.

women’s rights - how much freedom you have kind of depends on what rank you are. most of the upper court/noble ladies (yangban) are born & raised within the palace. they were very, very rarely allowed to leave (& if they were married off, then they would have to leave with like guards/people with them). it’s unfortunate but they were treated like property, passed off from father -> husband. from what i can gather, the lower ranked women (like the uinyeo) had a bit more liberty about going into town (or at least ive seen in media), mostly bc no one cared about them.... sad truth but truth nonetheless.

king’s authority - even though the king is the ruler of the entire land, he doesn’t have absolute authority over everything. generally kings in the joseon era had to listen to the advice of the court officials if they thought he was making the wrong choice.

Minister Choi’s execution - so actually there were several types of executions for people of different ranks. someone of Minister Choi’s status likely would have been given a less gruesome death via. poison (sasa or 사사). but i’m keeping it as a beheading to pay homage to the daechwita MV!

***i also came across an article that said only royal blood could be spilled on the palace grounds so i’m not 100% sure where the public execution square was located, only that there was one & it was separate from the palace. also a lot of dramas seem to ignore this rule, so i’m not sure.

perfume - this existed back then! along with cosmetics. they were a luxury item for mostly the upper class, but they definitely existed.

Queen Jeonghui’s birthday - fun fact! i borrowed this real life queen’s name first, for drabble 3. then i found out, it just so happens that her real birthday falls in November as well. it was a total coincidence haha.

OC’s outfit/hairstyle - this is what she would have worn!

palace - the layout of the series setting is loosely based off Gyeongbokgung Palace! if you look at the map, i’ve set the private gardens at #24 (though the position of the island is different than how it looks in the map. it’s instead from the right side going towards the left), Yoongi’s private residence is #25. reader is moved into #23. #26-28 are libraries, which includes the crown prince’s private library.

*** also the palace is much bigger than you might imagine so to get anywhere takes some time & a bit of walking!

jipgyeongdang (집경당) - #22 on the map. along with #23 (below), were traditionally houses for concubines & palace maids before Yoongi moved them.

hamhwadang (함화당) - #23 on the map. where reader lives post December 1868.

sanggung - the highest rank available for women who served the palace/royal family. a woman could become a “favored sanggung” if she slept with the king, but not a proper concubine. normally from the “commoner” class.

sangmin - “commoner” class. made up about 80% of joseon’s people. were the farmers, fishermen, laborers, etc. these were the people that paid taxes and were ruled over by the nobles!

cheonmin - the rank below commoner, described in English as “vulgar commoner.” the upper classes considered these people “unclean.” among their numbers were butchers, sex workers, performers, shoemakers, and yes, uinyeo. they were normally given little to no respect at all within society.

concubine - women that had the honor of sleeping with the king. concubines had their own ranks within them as the king usually had many (think around a dozen). more info.

town - from what i can gather, directly outside of the palace is a small town. if you think of the Daechwita MV, it’s like the town that Yoongi walks through when he has black hair. this is where mostly people of the middle/lower class, like sangmin & those below that, live.

chuseok - Korean harvest festival! it means “autumn evening with the brightest moon”. it’s usually celebrated on the 15th day of the eighth month in the lunar calendar. that would put it anywhere around sept 9-oct 2 in our modern calendar depending on the year!

yangban - these are the “ruling class” or gentry of the joseon era. generally means their families own land, are somewhat (or very) wealthy, and they are well-educated. (think Mr. Darcy, for a British equivalent)

why does no one recognize the prince in town? - with a lack of access to pictures & internet, it was common for the normal citizens of the country to not know what their monarchs looked like. generally to identify people & rank, they had to rely on appearance. gold was a color only reserved for royalty, so only the king & his sons could wear the royal robes with gold embroidery. once Yoongi takes off those robes, it’d be hard to identify him from among regular yangban!

jeon - these are bits of shrimp/vegetables/fish/other small things that are deep fried in egg batter!

nokdujeon - this is like a small, savory pancake made with, you guessed it, mung beans!

Chun-ja calling Eunuch Kim “Kim-nim” - look. i’ll be straight with you i have no idea how a commoner would refer to a eunuch. i’m flip-flopping between his title (which i also cannot figure out bc idk which of the 18 political ranks he would be, but not for lack of trying y’all T_T) & his name with the respectful -nim. so just to be safe, i’m going with it.

***i also am not 100% on this, but i believe Eunuchs rank higher than commoners because they work in the palace? which is why Eunuch Kim uses “-ssi” for her.

hangul & hanja - so the Korean alphabet as we know it is called hangul, and it was invented in 1443. in the past, they used to use hanja, Chinese characters, to write documents.

female literacy rate - as related to above, it was rare for women to be able to read/write even up until the late 19th century. they weren’t allowed to learn hanja at all & only around 4% could learn hangul. of those 4%, it was mostly noble women, who received good education to be better wives.

***books were then thus read aloud by those literate to crowds, so people could still enjoy stories.

face - the concept of “face” is very much rooted in Asian culture. in Korea, it’s called chemyon, & is basically related to your reputation + how others see you. you can lose, build, or gain face through your actions or what rumors of you spread. for example, if parents have children with bad grades, they + the child lose face. people should strive to do things to build their family’s honor & face up. i’ve experienced firsthand how people go to sometimes extreme lengths to “save face” as the term goes. basically, if you’re going to do something shameful, it’s better to do it where no one can see. (this concept isn’t going to have a huge influence in the series, at least not so far & i use it rather lightheartedly in October 1865 but i just thought that it’s really interesting + important to know about Asian culture!)

French expedition to Korea (Byeong-in yangyo) - in October 1866, the second French empire tried to invade Korea (or Joseon as it was called at the time) because the king at the time executed seven French missionaries. after several months of fighting, Korea won with only four soldiers killed & 3 wounded (compared to France: 3 killed, 35 wounded). Joseon was able to stay relatively isolated from all the other countries, continuing the practice of isolationism.

gossip - i couldn’t find any laws prohibiting people from talking about court going-ons/battles, though i would assume that it’s punishable if you’re doing it to talk badly about the king. but even if there were laws in place, word gets around, as word tends to do. therefore, i’ve given Eunuch Kim a bit more freedom in his letters.

royal funerals - it could actually take up to 5 months for the coffin to begin its journey to the resting tomb, but i’ve expedited the timeline for plot purposes!

coronations - these actually weren’t super common in Korea or Asia in general, but it did happen once in the 1700s for King Yeongjo. i’m using that as inspiration for Yoongi’s crowning.

*** also i couldn’t find info on the exact wording that King Yeongjo used when he announced his succession to his deceased brother’s body so... i took some creative license there.

gama - how yangban & up women travelled, carried by their servants. here’s a visual!

the royal engagement - actually, Beom-su would not have lived within the palace walls. she would have lived in a detached palace that was further away from the main palace, and there would be a whole procession where the king goes to her during their wedding rites. however, i’ve seen several dramas have the bride-to-be hang around a lot, which seems to be true because she would have had to learn the customs of the palace, so i’m not sure how much she would have been around realistically. i’ve just chosen not to address it, like the dramas do.

Beom-su’s name - i chose this name for her because of one of the possible hanja for beom: “犯”, which i would pair with the hanja “秀” for su. her name would basically mean excellent invasion, which i thought was a bit cruel, slightly humorous, & overall fitting. it is normally a masculine name though!

why are Beom-su’s father’s actions such a scandal? - so all the unmarried women living/working in the palace were considered the king’s property. he could sleep with them if he wanted to, but essentially they belonged to him. by laying hands on the maid, the minister committed a double sin because he not only was he assaulting someone, but he was infringing upon the king’s territory.

civil service exam (gwageo) - this is an exam issued every 3 years that any man, commoner rank & above, could take in order to enter into civil service. it’s what Jimin takes to enter into the court! i’m not sure what month these were held or if it was just at the king’s discretion (could not find much info)

more on eunuch kim & the re-marriage process

royal tombs - these were often quite far away from the actual palace but looking on maps, i found that there were a few tombs rather close to the palace that people could have conceivably travelled to within a day, over several long hours on horseback!

on natural disasters - yes, in history, natural disasters like floods/earthquakes/eclipses were said to be the king’s fault because he wasn’t a good enough ruler! things like this could seriously derail the people’s trust in the king and was a big cause of concern.

on Queen Jeonghui being in court meetings - i couldn’t find actual evidence that said the queen couldn’t be at these daily meetings between officials. in fact, the real life Empress Myeongseong in the ~1870s was pretty involved in politics and was quite interested in matters of law, etc. so, i’ve decided to allow Jeonghui to be present and address the ministers alongside Yoongi!

Chunaengjeon - i kind of explain more about this already in the drabble itself but if you’re curious, it’s the only solo court dance in the Joseon era and the highlight of the dance is a moment where the dancer mimics a bird perched on a flower and smiles :’) i thought it was fitting for these two. here’s a video of a performance that i used as reference!

janae - there were quite a few different terms for couples to call each other during this time. “janae” was meant to represent wife and is kind of their equivalent to our... “honey”? it was mostly used among the commoners/lower classes to convey affection and closeness. (aka eunuch kim continues to be the cutest)

on adopting a child as a eunuch - the readings i found say that eunuch kim’s children must be eunuchs themselves if he adopts them directly, but they don’t mention anything about this particular case of a eunuch marrying a widow, aka the child is not directly adopted by Eunuch Kim himself. so Han-jae will not be a eunuch when he grows up!

american invasion of korea (shinmiyangyo) - this is a true historical event, as i’ve mentioned in my author’s note for “June 1871.” Americans repeatedly violated Korean soveriegnty and invaded their land, resulting in many, many deaths for the Korean side. they were hoping this destruction would force Korea to accept the trade treaty. Korea did not, and eventually were able to chase the Americans out of their land a month later. the wikipedia page goes into greater detail if you’re interested, and is a quick overview of the situation.

seong-min’s living situation - as i’ve mentioned earlier with the whole Beom-su situation, i’ve chosen to not use the detached palace again for this engagement as dramas tend to do.

the wedding ceremony - similar to my reasoning about the detached palace, i’ve chosen to focus on only a few parts of the marriage rites while only briefly mentioning the rest. why? well, while i would LOVE to explain all the details and intricacies of such an incredible process, i feel like that would take a lot away from the heart of the story and be distracting, especially at such a critical stage. so i’ve explained what i can, and given brief overviews where i am able. ofc i adjusted the parading ceremony because of the change of the detached palace custom. if you’d like an easy-to-read source on the whole process, please check out this link! basically the MLT chapter depicts a tweaked vers of steps 5 and 6. 1-3 happened behind the scenes, and i mentioned #4 in the “summer 1871″ drabble.

chungin - our equivalent of “white collar” workers, or the upper-middle class. this rank was made up of low-level bureaucrats, accountants, physicians, etc. some royal servants would also be part of this rank because they’re allowed to enter the palace. there is an exam (chapkwa) to become this rank!

conception dreams (taemong) - as uinyeo-nim explains in the drabble, these dreams were often seen as omens of impending pregnancy. depending on what you see in your dream, there are different interpretations. possible symbols are animals, fruits, elements of nature, children, and jewels. eg. if you dreamed of fruits, it was often considered to be a sign of having a baby girl.

other conception myths - i know from my own experience that Asians often have a lot of superstitions regarding conception and pregnancy and medical things in general. however, i couldn’t find any specific conception myths for the time period in question (most of my research only uncovered superstitions for after you’re already pregnant), so i’ve taken some creative license here, using the conception dreams and current beliefs as inspiration!

on Queen Jeonghui calling oc “dear” - since I prefer not to use Y/N, ___, etc. for reader’s name and just generally avoid mentioning it, it’s nearly impossible for me to convey the tone with which Queen Jeonghui would’ve been calling OC in this chapter. in Korean, she would be saying “[name]-yah/ah” depending on the ending syllable of the name. adding that suffix to the end of a name conveys closeness and intimacy between people. I’ve chosen to substitute it for “dear” to make things sound more natural in English. it’s not an exact match, but it’ll have to do!

#moonlit throne #historical context

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codesolutionstuff · 2 years

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TOP 10 IN-DEMAND DATA ANALYTICS SKILLS TO LEARN IN 2022

New Post has been published on https://www.codesolutionstuff.com/top-10-in-demand-data-analytics-skills-to-learn-in-2022/

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thedatasciencehyderabad · 3 years

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Data Science Course Coaching In Hyderabad

Understand the metrics Support, Confidence and Lift used to outline the rules with the assistance of Apriori algorithm. Learn execs and cons of every of the metrics utilized in Association guidelines. Yes, after efficiently completing the course you might be awarded a course completion certificate from 360DigiTMG.

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dixie78 · 6 years

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Working at SIMPLY's Plant-Based Egg Company Is Vegan Prince Khaled Alwaleed's Dream Task

Saudi Arabian vegan Prince Khaled Alwaleed is known for spearheading eco-friendly initiatives, his compassion for animals, and his love of plant-based food. In fact, the vegan prince says that his love for one vegan food company in particular is so great he would give up (almost) anything just to work there.

Earlier today, Alwaleed took to Instagram to profess his love to JUST, the California-based food company behind the vegan liquid egg, plant-based condiments, and soon-to-be clean meat producer.

“I love this company so much I would put everything (most) aside to work here,” the prince wrote, paired with a photo of vegan scrambled eggs made using JUST’s latest product, the JUST Egg. Judging by the lineup of vegan condiments, he’s also a big fan of the brand’s other plant-based products.

The plant-based egg looks, cooks, and tastes just like chicken eggs and can be used in a variety of applications ranging from frittatas, French toast, and omelets and to scrambles, as the vegan prince did. Compared to other vegan egg products, the JUST egg boats five grams of protein per serving from its mung bean base. The plant-based liquid egg also contains zero cholesterol and is less taxing on the planet, calling for nearly 80 percent less surface and groundwater than conventional chicken eggs.

A post shared by Khaled Alwaleed (@khaledalwaleed) on Aug 2, 2018 at 10:11am PDT

Alwaleed’s love of JUST is fueled by the brand’s position as a leader in the plant-based food space; it continues launching innovative new products such as the vegan JUST Egg in addition to its core line of mayos and dressing. And soon, the company will launch into retail with slaughter-free clean meat, made from real animal cells in a process called cellular agriculture.

JUST CEO and founder Josh Tetrick was recently compared to Elon Musk due to his knack for creating products that hold the potential to disrupt the food system, as Musk aims to disrupt conventional transportation. Tetrick hopes that through JUST, unsustainable, animal-based food products can be made obsolete. Tetrick says the company’s clean meat is set to be on the market by the end of the year.

Image Credit: JUST / KBW Investments

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Working at JUST’s Plant-Based Egg Company Is Vegan Prince Khaled Alwaleed's Dream Job

Description

Saudi Arabian vegan Prince Khaled Alwaleed says that he would drop everything to work at JUST, creator the vegan liquid eggs and plant-based condiments.

Author

Kat Smith

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latestbreakingnewsupdates · 4 years

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Outrage over Bhaskar probe in Bihar: Minister Mewalal questions SHO over wife’s death, PA call comes 22 minutes later Hindi news Local Bihar Munger Tarapur MLA Dr Mewalal Chowdhury Neeta Chowdhury Death Mystery; Retired IPS seeks inquiry from DGP…

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marketresearchtrendsblog · 3 years

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Bean Pasta Market: Global Industry Analysis, Trends, Market Size, and Forecasts up to 2026

The report on the global bean pasta market provides qualitative and quantitative analysis for the period from 2018 to 2026. The report predicts the global bean pasta market to grow with a CAGR of 11.9% over the forecast period from 2020-2026. The study on bean pasta market covers the analysis of the leading geographies such as North America, Europe, Asia-Pacific, and RoW for the period of 2018 to 2026. The report on bean pasta market is a comprehensive study and presentation of drivers, restraints, opportunities, demand factors, market size, forecasts, and trends in the global bean pasta market over the period of 2018 to 2026. Moreover, the report is a collective presentation of primary and secondary research findings.

Request to Fill The Form To get Sample Copy of This Report: https://www.sdki.jp/sample-request-104744 Porter's five forces model in the report provides insights into the competitive rivalry, supplier and buyer positions in the market and opportunities for the new entrants in the global bean pasta market over the period of 2018 to 2026. Further, IGR- Growth Matrix gave in the report brings an insight into the investment areas that existing or new market players can consider. Report Findings 1) Drivers • Increasing healthcare awareness, rise in disposable income and rising demand for organic and vegan food • Changing consumer preferences owing to benefits offered such as gluten free, consists of fiber and rich source of protein 2) Restraints • Availability of varieties in pasta in cost effective rate may hamper the market 3) Opportunities • Key players are focusing on manufacturing plant based and gluten free pasta Research Methodology A) Primary Research Our primary research involves extensive interviews and analysis of the opinions provided by the primary respondents. The primary research starts with identifying and approaching the primary respondents, the primary respondents are approached include 1. Key Opinion Leaders associated with Infinium Global Research 2. Internal and External subject matter experts 3. Professionals and participants from the industry Our primary research respondents typically include 1. Executives working with leading companies in the market under review 2. Product/brand/marketing managers 3. CXO level executives 4. Regional/zonal/ country managers 5. Vice President level executives. B) Secondary Research Secondary research involves extensive exploring through the secondary sources of information available in both the public domain and paid sources. At Infinium Global Research, each research study is based on over 500 hours of secondary research accompanied by primary research. The information obtained through the secondary sources is validated through the crosscheck on various data sources. The secondary sources of the data typically include 1. Company reports and publications 2. Government/institutional publications 3. Trade and associations journals 4. Databases such as WTO, OECD, World Bank, and among others. 5. Websites and publications by research agencies Segment Covered The global bean pasta market is segmented on the basis of nature, product type, packing, and distribution channel. The Global Bean Pasta Market by Nature • Conventional • Organic The Global Bean Pasta Market by Product Type • Mung Bean Pasta • Black Bean Pasta • Green Bean • White Bean Pasta • Adzuki Bean Pasta • Soybean Pasta The Global Bean Pasta Market by Packing • Boxes • Packets and Pouches The Global Bean Pasta Market by Distribution Channel • Direct (B2B) • Indirect (B2C) o Hypermarkets/Supermarkets o Convenience Stores o Specialty Stores o E-Commerce Company Profiles The companies covered in the report include • Nasoya Foods USA • Prairie Harvest Canad Limited and chickpea Pasta • Ancient Harvest • LIVIVA Foods • The Only Bean • Gold Harbor • Trader Joe's • Pedon SpA • NutriNoodle • Bellabondonza What does this report deliver? 1. Comprehensive analysis of the global as well as regional markets of the bean pasta market. 2. Complete coverage of all the segments in the bean pasta market to analyze the trends, developments in the global market and forecast of market size up to 2026. 3. Comprehensive analysis of the companies operating in the global bean pasta market. The company profile includes analysis of product portfolio, revenue, SWOT analysis and latest developments of the company. 4. IGR- Growth Matrix presents an analysis of the product segments and geographies that market players should focus to invest, consolidate, expand and/or diversify.

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