The document summarizes key data on China's fur industry distribution across regions. Major distribution areas for fur industry include Hebei, Henan, Shandong, with secondary areas being Zhejiang, Jiangsu, Guangdong, Inner Mongolia, Liaoning, Shanghai and Tianjin. It introduces an industry distribution index to show differences between regions and provides an overview of enterprise types, statistics, and the top 10 regions and 100 enterprises covered in the report.
This company directory provides the list of 1,435 major Chinese industrial companies indexed by industries. The information of these companies included in this directory are their company name both in English and Chinese, company website, telephone number, fax number, address, post code and established date.
Industries covered by this company directory:
Total number of industries: 186;
Key sectors: Mining, Oil & Gas, Food, Beverage, Textile, Furniture, Paper & Printing, Chemical, Pharmaceutical, Rubber, Plastic, Metal, Equipment, Automobile, IT, Household Appliance, etc. For full list of industries, please check the Table of Content.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
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Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
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- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
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Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
China fur industry profile isic1820 sample pages
1. Heilongjiang
Jilin
China Fur Industry Profile
Inner Mongolia
Liaoning
Xinjiang
Beijing
Hebei Tianjin
Shanxi
Ningxia Shandong
Qinghai ISIC Code: 1820
Gansu
Henan
According to the industry distribution index released by Zeefer, the major distribution areas of Jiangsu
Shaanxi fur industry across
China include: Hebei, Henan, Shandong, and the second distribution areas include: Zhejiang, Jiangsu, Guangdong,
Tibet Anhui Shanghai
Inner Mongolia, Liaoning, Shanghai and Tianjin.
Hubei
Sichuan Zhejiang
Chongqing
Hunan Jiangxi
Fujian
Guizhou
Yunnan Guangdong
Guangxi
Lesser Distribution Area Beijing Zeefer Consulting Ltd.
Second Distribution Area
Major Distribution Area
Sep. 2011
Hainan
2. Introduction
Provides key data and concise analyses, presents a comparative analysis on the development of fur industry in 31 provincial regions and 20 major cities
in visualized form of data map. The report also includes a list of top 100 enterprises in the sector and the comparison on investment environment in top 10
hot regions. In addition, the report truly reflects the position of foreign enterprises in this industry across China based on a comprehensive comparison of
operating conditions among different enterprise types. Furthermore, this is the first report to adopt ISIC (International Standard Industrial Classification of
All Economic Activities) in classification of Chinese enterprises, corresponding to the reading habit of international readers, and it is also very helpful for
readers to make a comparison on the development condition and investment potential of fur industry in China with that in other countries.
Additionally, by original creation of ZEEFER Industry Distribution Index, the report directly shows the difference in various regions of Mainland China in
terms of fur industry, providing an important reference for investors' selection of target regions to make investment.
What will you get from this report?
· To get a comprehensive picture on distribution of and difference in performance in regions of Mainland China in terms of the fur industry;
· To figure out the hot regions in China for fur industry, find out the potential provinces and cities suitable for investment as well as the economic
development level and investment environment in these regions;
· To get a clear picture on the overall development, industry size and growth trend of fur industry across China in the past 3 years;
· To get a clear picture on development status of foreign enterprises, state-owned enterprises, and private enterprises in recent years as well as the
industry position of the above ownerships;
· Based on adoption of the global uniform industry classification standard - ISIC, the report enables you to make a direct comparison of China fur industry
with parallel industry in other countries;
· Present you with a list of top 100 enterprises inside the industry in terms of the sales revenue;
· ……
Regions Covered By This Report
· All the 31 provincial regions in Mainland China;
· Top 20 Chinese cities in terms of fur industry.
Enterprise Types Covered By This Report
· Top 100 enterprises;
· Enterprises Funded by Foreign Countries (territories), Hong Kong, Macau and Taiwan;
· Chinese State-owned Enterprises;
3. · Collective-owned Enterprises;
· Cooperative Enterprises;
· Joint-Equity Enterprises;
· Private Enterprises.
Key Statistic Indicators Covered By This Report
· Industrial Sales Value
· Number Of Employees
· Enterprise Number
· Sales Revenue
· Profits
· Rate Of Return On Sales
· Rate Of Return On Assets
· Rate Of Return On Net Assets
· Number Of Enterprises In Red
· Range Of Loss
· Total Losses
· Percentage Of Foreign-Funded Enterprises And HK, Macau And Taiwan-Funded Enterprises In Terms Of The Sales Revenue
· Percentage Of Foreign-Funded Enterprises In All Foreign-Funded Enterprises And HK, Macau And Taiwan-Funded Enterprises In Terms Of The Sales
Revenue
· GDP
· Growth Rate Of GDP
· Growth Rate Of The Added Value Of Secondary Industry
· Growth Rate Of Industrial Value-Added Of Enterprises Above Designated Size
· Investment On Fixed-Assets
· Total Retail Sales Of Consumer Goods
· ......
ZEEFER Industry Distribution Index
An indicator through aggregate weighted computation based on the three authority statistics of enterprise numbers, sales revenue and profit by region and
corporate ownership, and in accordance with the regional distribution of leading enterprises inside the sector. Through horizontal comparison on the fur
industry development in different provinces, municipalities, and autonomous regions, the ZEEFER Industry Distribution Index is specially designed to truly
reflect the conditions of regional distribution for China fur industry, providing a quantitative, visual and reliable reference for relevant users to make
decisions. The ZEEFER Industry Distribution Index adopts a hundred mark system. For a certain region, the higher the score, the higher the distribution
concentration in this region and the industry position of the region shall be more important.
4. Declaration
Beijing Zeefer Consulting Ltd. and (or) its affiliates (hereafter, "Zeefer") provides this report with the greatest possible
care. Nevertheless, Zeefer makes no guarantee whatsoever regarding the accuracy, utility, or certainty of the
information in this report. Further, Zeefer disclaims any and all responsibility for damages that may result from the use
or non-use of the information in this report.
The information in this report may be incomplete and/or may differ in expression from other information in elsewhere by
other means. The information contained in this report may also be changed or removed without prior notice.
5. Table of Contents
1. Overview
2. The Nationwide Distribution Of Fur Industry In China
3. Introduction To Major Cities
4. Nationwide Distribution Of Foreign-Funded Enterprises And HK, Macau And Taiwan-Funded Enterprises In Fur Industry
5. Nationwide Distribution Of Foreign-Funded Enterprises
6. Nationwide Distribution By Enterprise Numbers
7. Sales Revenue Of Foreign-Funded Enterprises And HK, Macau And Taiwan-Funded Enterprises By Region
8. Sales Revenue In Different Regions For Fur Industry
9. Nationwide Distribution Of Top 100 Enterprises In Terms Of Sales Revenue
10. Comparison Of Foreign-Funded Enterprises And HK, Macau And Taiwan-Funded Enterprises
10.1 Operating Status Of Top 10 Areas With Highest Total Profits
10.2 Comparison On Operating Status Of Foreign-Funded Enterprises And HK, Macau And Taiwan-Funded Enterprises By Region
11. Analysis On Operating Status Of Enterprises By Corporate Ownership
12. Analysis On The Changes In Number Of Enterprises By Corporate Ownership
13. Analysis On The Changes In Sales Revenue By Corporate Ownership
14. Comparison On The Rate Of Return On Assets Of Enterprises
14.1 Comparison On The Rate Of Return On Assets By Corporate Ownership
14.2 Comparison On The Rate Of Return On Assets By Corporate Size
14.3 Comparison On The Rate Of Return On Assets Of Foreign-Funded Enterprises And HK, Macau And Taiwan-Funded Enterprises By Major
Distribution Areas
15. Comparison On The Investment Environment Indexes Of 10 Major Regions
16. List Of Top 100 Enterprises In Terms Of Sales Revenue
17. Index Explanation
6. Sample Report Beijing Zeefer Consulting Ltd.
2. The Nationwide Distribution Of Fur Industry In China
According to the Zeefer Industry Distribution Indexes, major distribution areas of the fur industry Code Region N Index Points
include Hebei, Henan and Shandong. The second distribution areas of the fur industry include Zhejiang, 13 Hebei |||||||||||||||||||||||| 96 ||||||||||||||||||||||||
Jiangsu, Guangdong, Inner Mongolia, Liaoning, Shanghai and Tianjin. 41 Henan |||||||||||||||||||||||| 96 ||||||||||||||||||||||||
37 Shandong ||||||||||||||||||||||| 94 |||||||||||||||||||||||
33 Zhejiang |||||||||||||||||||||| 91 ||||||||||||||||||||||
32 Jiangsu ||||||||||||||||||||| 86 |||||||||||||||||||||
44 Guangdong |||||||||||||||||||| 83 ||||||||||||||||||||
23 15 Inner Mongolia ||||||||||||||||||| 79 |||||||||||||||||||
21 Liaoning |||||||||||||||||| 72 ||||||||||||||||||
22 31 Shanghai ||||||||||||||| 61 |||||||||||||||
21 12 Tianjin ||||||||||||| 54 |||||||||||||
65 15 11 64 Ningxia ||||||||||||| 52 |||||||||||||
12 11 Beijing |||||||||||| 51 ||||||||||||
13
64
14
37
34 Anhui ||||||||||| 47 |||||||||||
63 51 Sichuan |||||||||| 43 ||||||||||
62 41 32
61 23 Heilongjiang |||||||| 34 ||||||||
54 34 31 35 Fujian ||||||| 31 |||||||
42
51 33 62 Gansu ||||||| 29 |||||||
50
36 42 Hubei ||||| 23 |||||
43 35
52 50 Chongqing |||| 18 ||||
1-53 36 Jiangxi |||| 17 ||||
53 45 44
54-93 61 Shaanxi |||| 16 ||||
94+ 65 Xinjiang |||| 16 ||||
46 22 Jilin ||| 14 |||
63 Qinghai || 10 ||
ZEEFER Industry Distribution Index: is an indicator through aggregate weighted computation based on 14 Shanxi || 9 ||
the three authority statistics of enterprise numbers, sales revenue and profit by region and corporate 43 Hunan 0
ownership, and in accordance with the regional distribution of leading enterprises inside the sector. 45 Guangxi 0
Through horizontal comparison on the target industry development in different provinces, municipalities 46 Hainan 0
and autonomous regions, the ZEEFER Industry Distribution Index is specially designed to truly reflect 52 Guizhou 0
the conditions of regional distribution for the target industry, providing a quantitative, visual and reliable 53 Yunnan 0
reference for relevant users to make decisions. The ZEEFER Industry Distribution Index adopts a 54 Tibet 0
hundred mark system. For a certain region, the higher the score, the higher the distribution concentration
in this region and the industry position of the region shall be more important.
Tel: +86 10 68324716 Fax: +86 10 87750776
Company Site: www.Zeefer.org Online Reports Store: www.AllChinaReports.com 3
7. Sample Report Beijing Zeefer Consulting Ltd.
14.3 Comparison On The Rate Of Return On Assets Of Foreign-Funded Enterprises And HK, Macau And Taiwan-Funded Enterprises By Major Distribution
Areas (2008-2010)
In 2010, the rate of return on assets for foreign-funded enterprises and HK, Macau and Taiwan-funded enterprises was 13.4%, 7.7% lower than
nationwide average. Among foreign-funded enterprises and HK, Macau and Taiwan-funded enterprises in following major distribution areas, those
enterprises in Henan realized the highest rate of return on assets, and those in Shandong achieved the lowest ROAs. Those foreign-funded and
HK, Macau and Taiwan-funded enterprises in Henan realized a ROA of 34.1% in 2010, 13% higher than the nationwide average, 20.7% higher
than that of nationwide average of all foreign-funded and HK, Macau and Taiwan-funded enterprises.
Rate Of Return On Assets % Rate Of Return On Net Assets %
2010 2009 2008 2010 2009 2008 # # # # # #
National Average 21.1 20.1 20.4 41.9 40.5 45.7 # # # # # #
Foreign-Funded All 13.4 12.7 12.9 32.4 26.4 33.0 # # # # # #
And HK, Macau Hebei 14.3 11.2 14.1 34.4 26.4 31.8 # # # # # #
And Taiwan-
Funded Henan 34.1 34.4 30.6 102.2 55.3 113.8 # # # # # #
Enterprises Shandong 10.2 11.0 11.3 18.3 23.4 33.5 # # # # # #
# # # # # #
# # # # # #
Rate Of Return On Assets For Foreign-Funded And HK, Rate Of Return On Net Assets For Foreign-Funded And
Macau And Taiwan-Funded Enterprises By Major HK, Macau And Taiwan-Funded Enterprises By Major
Distribution Areas (2008-2010) Distribution Areas (2008-2010)
40.00 120.00
35.00
100.00
30.00
All 80.00 All
25.00
Hebei Hebei
20.00 60.00
Henan Henan
15.00
Shandong 40.00 Shandong
10.00
20.00
5.00
0.00 0.00
2008 2009 2010 2008 2009 2010
Tel: +86 10 68324716 Fax: +86 10 87750776
Company Site: www.Zeefer.org Online Reports Store: www.AllChinaReports.com 18
8. Beijing Zeefer Consulting Ltd.
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