https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Producer Price Index by Industry: Artificial Fibers and Filaments Manufacturing (PCU3252232522) from Dec 2003 to May 2025 about fiber, manufacturing, PPI, industry, inflation, price index, indexes, price, and USA.
Experimental evolution studies can be used to explore genomic response to artificial and natural selection. In such studies, loci that display larger allele frequency change than expected by genetic drift alone are assumed to be directly or indirectly associated with traits under selection. However, such studies report surprisingly many loci under selection, suggesting that current tests for allele frequency change may be subject to p-value inflation and hence be anti-conservative. One factor known from genome wide association (GWA) studies to cause p-value inflation is population stratification, such as relatedness among individuals. Here we suggest that by treating presence of an individual in a population after selection as a binary response variable, existing GWA methods can be used to account for relatedness when estimating allele frequency change. We show that accounting for relatedness like this effectively reduces false positives in tests for allele frequency change in simulated...
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Producer Price Index by Industry: Surgical Appliance and Supplies Manufacturing: Artificial Joints and Limbs (PCU33911333911321) from Jun 1983 to Apr 2025 about surgical, appliances, supplies, manufacturing, PPI, industry, inflation, price index, indexes, price, and USA.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Russia Consumer Price Index (CPI): Same Mth PY=100: PC: Fancy Goods: Women Handbag: Artificial Leather data was reported at 101.240 Same Mth PY=100 in Dec 2018. This records a decrease from the previous number of 101.540 Same Mth PY=100 for Nov 2018. Russia Consumer Price Index (CPI): Same Mth PY=100: PC: Fancy Goods: Women Handbag: Artificial Leather data is updated monthly, averaging 109.910 Same Mth PY=100 from Jan 1995 to Dec 2018, with 288 observations. The data reached an all-time high of 273.490 Same Mth PY=100 in Apr 1995 and a record low of 101.240 Same Mth PY=100 in Dec 2018. Russia Consumer Price Index (CPI): Same Mth PY=100: PC: Fancy Goods: Women Handbag: Artificial Leather data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Inflation – Table RU.IA015: Consumer Price Index: Same Month Previous Year=100: Non Food.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Producer Price Index by Commodity for Miscellaneous Products: Feathers, Plumes, and Artificial Trees and Flowers (DISCONTINUED) (WPU159A0303) from Dec 1998 to Dec 2009 about flower, miscellaneous, commodities, PPI, inflation, price index, indexes, price, and USA.
https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy
In 2023, the global hyperinflation system market size was estimated at USD 1.2 billion and is anticipated to reach USD 3.8 billion by 2032, growing at a Compound Annual Growth Rate (CAGR) of 13.5%. One of the primary growth factors for this market is the increasing demand for robust economic management tools amidst rising global inflationary pressures.
The burgeoning need for real-time data analytics and financial forecasting tools is driving the growth of the hyperinflation system market. As economies face volatile inflation rates, particularly in developing nations, businesses and governments require sophisticated software and hardware solutions to predict and manage hyperinflation scenarios effectively. This necessity is fueling the adoption of hyperinflation systems across various sectors, including healthcare, finance, and government. Moreover, the increasing digitization of financial operations and the integration of artificial intelligence and machine learning technologies into these systems are further propelling market growth.
Additionally, the global pandemic has underscored the importance of economic resilience, leading to a heightened focus on financial stability measures. The pandemic-induced economic disruptions have led to erratic inflation trends, necessitating advanced hyperinflation systems to mitigate financial risks. This has accelerated the demand for both on-premises and cloud-based deployment models, as organizations seek flexible and scalable solutions to navigate economic uncertainties. Furthermore, government initiatives to enhance financial infrastructure and transparency are providing a significant boost to market expansion.
Technological advancements and the proliferation of big data are also contributing to the market's growth. The integration of advanced data analytics and predictive modeling in hyperinflation systems allows for more accurate forecasting and decision-making. This technological evolution is making these systems indispensable tools for financial institutions, retail businesses, and manufacturing industries. As businesses strive to optimize their financial strategies and safeguard against inflationary pressures, the adoption of hyperinflation systems is expected to surge.
Regionally, North America is anticipated to hold a significant share of the hyperinflation system market due to the presence of major market players and advanced technological infrastructure. Meanwhile, Asia Pacific is projected to exhibit the highest growth rate, driven by rapid economic development, increasing government initiatives for financial stability, and the rising adoption of digital solutions. Europe and Latin America are also expected to witness substantial growth, supported by growing awareness and adoption of hyperinflation management tools in these regions.
The hyperinflation system market is segmented into software, hardware, and services. The software segment is expected to dominate the market due to the increasing demand for advanced financial analytics and predictive modeling solutions. Software components encompass various applications such as inflation forecasting tools, risk management platforms, and financial planning software. These tools are essential for organizations to navigate volatile economic conditions and are witnessing widespread adoption across multiple industries.
Hardware components, although a smaller segment compared to software, play a crucial role in the overall functionality of hyperinflation systems. High-performance servers, data storage solutions, and specialized computing devices are integral to the effective operation of these systems. The demand for hardware is driven by the need for robust and reliable infrastructure to support complex financial computations and data analytics. As the volume of financial data continues to grow, the need for scalable and efficient hardware solutions is becoming increasingly critical.
The services segment, encompassing consulting, implementation, and maintenance services, is also witnessing significant growth. Organizations require expert guidance to effectively deploy and utilize hyperinflation systems. Consulting services help businesses identify the most suitable solutions tailored to their specific needs, while implementation services ensure smooth integration with existing financial systems. Ongoing maintenance and support services are vital to ensure the continuous and efficient operation of hyperinflation systems, making this segment a key component of the market.&
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Russia Consumer Price Index (CPI): Prev Month=100: Medical Services: Artificial Crown Making data was reported at 100.110 Prev Mth=100 in Dec 2018. This records a decrease from the previous number of 100.120 Prev Mth=100 for Nov 2018. Russia Consumer Price Index (CPI): Prev Month=100: Medical Services: Artificial Crown Making data is updated monthly, averaging 101.140 Prev Mth=100 from Jan 1995 (Median) to Dec 2018, with 288 observations. The data reached an all-time high of 113.620 Prev Mth=100 in Jan 1995 and a record low of 100.090 Prev Mth=100 in May 2017. Russia Consumer Price Index (CPI): Prev Month=100: Medical Services: Artificial Crown Making data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Inflation – Table RU.IA011: Consumer Price Index: Previous Month=100: Services.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Producer Price Index by Commodity: Miscellaneous Products: Artificial Joints and Limbs (WPU156301041) from Dec 2011 to Apr 2025 about miscellaneous, medical, commodities, PPI, inflation, price index, indexes, price, and USA.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
ABSTRACT The current Covid-19 pandemic has been the most discussed topic of the year, mostly about protection and ways to avoid dissemination of the virus. In the healthcare system, especially in the operating rooms, the viability of laparoscopic surgery was questioned, mostly because of the transmission through aerosol. This article tries to suggest a way to minimize risks of laparoscopic surgery, during this situation, by using electrostatic filters, a simple, effective and low cost alternative.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Producer Price Index by Industry: Resin, Synthetic Rubber, and Artificial/Synthetic Fiber/Filaments Manufacturing (PCU32523252) from Dec 1984 to May 2025 about resin, synthetic, rubber, manufacturing, PPI, industry, inflation, price index, indexes, price, and USA.
(CDID: EUFB) Quarter - Producer price inflation time series (MM22) Producer Price Indices (PPIs) are a series of economic indicators that measure the price movement of goods bought and sold by UK manufacturers.
According to our latest research, the global smart tire-inflation garage robot market size reached USD 1.14 billion in 2024, reflecting robust momentum fuelled by increasing automation in automotive maintenance. The market is projected to grow at a CAGR of 13.2% from 2025 to 2033, reaching an estimated USD 3.44 billion by 2033. This growth is primarily driven by the rising adoption of intelligent vehicle service solutions, surging demand for enhanced vehicle safety, and the growing emphasis on convenience and efficiency in garage operations worldwide.
One of the primary growth factors for the smart tire-inflation garage robot market is the rapid technological advancement in automotive service equipment. As vehicles become more sophisticated, the need for precision in tire maintenance has become paramount. Smart tire-inflation robots leverage advanced sensors, artificial intelligence, and IoT connectivity to ensure optimal tire pressure, which directly impacts vehicle safety, fuel efficiency, and tire longevity. Automotive manufacturers and service providers are increasingly integrating these robots into their operations to minimize human error, reduce downtime, and provide consistent, high-quality service. The integration of predictive maintenance features and real-time diagnostics further enhances the value proposition of these systems, making them indispensable in modern garages and service centers.
Another significant driver is the growing consumer preference for automated and contactless vehicle services. The COVID-19 pandemic accelerated the adoption of contactless technologies across various industries, including automotive services. Consumers now expect minimal human intervention and faster turnaround times when it comes to routine vehicle maintenance. Smart tire-inflation garage robots address these expectations by automating the tire inflation process, reducing wait times, and ensuring a safer environment for both customers and service personnel. This shift in consumer behavior is prompting both independent garages and large automotive service chains to invest in automated solutions, further propelling market growth.
Additionally, regulatory initiatives aimed at improving road safety and reducing vehicular emissions are playing a crucial role in shaping the smart tire-inflation garage robot market. Governments across North America, Europe, and Asia Pacific are implementing stringent regulations regarding tire pressure monitoring and maintenance. These regulations not only mandate regular tire checks but also encourage the use of advanced technologies to ensure compliance. Smart tire-inflation robots, with their ability to deliver precise and consistent results, are increasingly being adopted to meet these regulatory requirements. The growing focus on sustainability and energy efficiency is also encouraging fleet operators and commercial vehicle owners to adopt automated tire maintenance solutions, thereby expanding the market’s addressable base.
From a regional perspective, Asia Pacific is emerging as the fastest-growing market for smart tire-inflation garage robots, driven by the rapid expansion of the automotive sector, increasing vehicle ownership, and rising investments in automotive infrastructure. North America and Europe continue to be significant markets, benefiting from early adoption of automation technologies and strong regulatory frameworks supporting vehicle safety. Latin America and the Middle East & Africa are witnessing gradual growth, supported by improving economic conditions and expanding automotive aftermarkets. The regional dynamics underscore the global nature of the demand for smart tire-inflation solutions, with each region contributing uniquely to the market’s overall trajectory.
The product type segment of the smart tire-inflation garage robot market is bifurcated into fully automated and semi-automate
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Russia Consumer Price Index (CPI): Weights: Services: Medical Services: Artificial Crown Making data was reported at 0.240 % in 2019. This records an increase from the previous number of 0.228 % for 2018. Russia Consumer Price Index (CPI): Weights: Services: Medical Services: Artificial Crown Making data is updated yearly, averaging 0.232 % from Dec 2012 (Median) to 2019, with 8 observations. The data reached an all-time high of 0.240 % in 2019 and a record low of 0.180 % in 2012. Russia Consumer Price Index (CPI): Weights: Services: Medical Services: Artificial Crown Making data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Inflation – Table RU.IA027: Consumer Price Index: Weights.
https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy
According to our most recent research, the global Smart Tire-Inflation Garage Robot market size reached USD 1.45 billion in 2024, with the sector demonstrating a robust trajectory. The market is set to expand at a CAGR of 14.2% from 2025 to 2033, culminating in a projected value of USD 4.22 billion by 2033. This impressive growth is underpinned by the rising demand for automation in automotive maintenance and the increasing focus on vehicle safety and efficiency worldwide. As per our latest research, technological advancements and consumer preference for convenient, precise, and time-saving solutions are key drivers fueling the expansion of the Smart Tire-Inflation Garage Robot market.
The surge in demand for smart tire-inflation solutions is primarily attributed to the automotive industry's shift toward automation and digitalization. As vehicles become more sophisticated, the need for precise tire maintenance tools has become paramount. Smart tire-inflation garage robots offer a seamless integration of sensors, artificial intelligence, and robotics, enabling accurate tire pressure monitoring and adjustment. This not only enhances vehicle safety by reducing the risk of tire-related accidents but also improves fuel efficiency and tire longevity. The adoption of these robots by automotive workshops, service stations, and even home garages is accelerating, driven by the growing awareness of the benefits associated with automated tire maintenance. The convenience, reliability, and reduction in human error are compelling factors that are propelling the market forward.
Another significant growth factor for the Smart Tire-Inflation Garage Robot market is the increasing focus on sustainability and energy efficiency. Governments and regulatory bodies worldwide are implementing stringent guidelines regarding vehicle emissions and maintenance standards. Proper tire inflation, facilitated by smart robots, directly contributes to reduced carbon emissions and optimized fuel consumption. Automakers and service providers are investing heavily in intelligent garage equipment to comply with evolving environmental regulations and to meet the expectations of eco-conscious consumers. Additionally, the proliferation of electric vehicles and the need for specialized maintenance solutions are further boosting the demand for advanced tire-inflation technologies, as these vehicles often require precise tire care for optimal performance and safety.
The rapid urbanization and expansion of the automotive aftermarket are also catalyzing the growth of the Smart Tire-Inflation Garage Robot market. With an increasing number of vehicles on the road, especially in emerging economies, the demand for efficient and automated garage solutions is on the rise. Smart tire-inflation robots are becoming an integral part of modern automotive workshops and service stations, offering value-added services that enhance customer satisfaction and loyalty. The trend of do-it-yourself (DIY) vehicle maintenance among consumers with home garages is also contributing to market growth, as these users seek user-friendly and technologically advanced tools. The integration of IoT and cloud connectivity in these robots allows for remote diagnostics and predictive maintenance, further elevating their appeal across various end-user segments.
Regionally, the market exhibits diverse growth patterns, with Asia Pacific leading in terms of volume due to its vast automotive industry and rising disposable incomes. North America and Europe are characterized by early adoption of advanced technologies and strict vehicle safety regulations, driving substantial demand for smart garage solutions. Latin America and the Middle East & Africa are witnessing steady growth, supported by increasing vehicle ownership and gradual modernization of automotive service infrastructure. The overall global landscape is shaped by technological innovation, regulatory frameworks, and evolving consumer preferences, making the Smart Tire-Inflation Garage Robot market a dynamic and rapidly evolving sector.
The Smart Tire-Inflation Garage Robot market is segmented by product type into Fully Automated and Semi-Automated systems. Fully automated robots represent the cutting edge of tire maintenance technology, offering end-to-end functionality with minimal human intervention. These systems are equipped with
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
CPI: Prev Month=100: CL: Footwear: Male: Artificial Leather: Low Shoes data was reported at 100.090 Prev Mth=100 in Dec 2018. This records a decrease from the previous number of 100.100 Prev Mth=100 for Nov 2018. CPI: Prev Month=100: CL: Footwear: Male: Artificial Leather: Low Shoes data is updated monthly, averaging 100.660 Prev Mth=100 from Jan 1995 (Median) to Dec 2018, with 288 observations. The data reached an all-time high of 118.920 Prev Mth=100 in Sep 1998 and a record low of 99.820 Prev Mth=100 in Jul 2014. CPI: Prev Month=100: CL: Footwear: Male: Artificial Leather: Low Shoes data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Inflation – Table RU.IA010: Consumer Price Index: Previous Month=100: Non Food.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Producer Price Index by Industry: Artificial Fibers and Filaments Manufacturing: Polyester Fibers (DISCONTINUED) (PCU32522032522027) from Dec 1989 to Dec 2017 about fiber, manufacturing, PPI, industry, inflation, price index, indexes, price, and USA.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Russia Consumer Price Index (CPI): Prev Dec=100: Medical Services: Artificial Crown Making data was reported at 104.380 Prev Dec=100 in Dec 2018. This records an increase from the previous number of 104.270 Prev Dec=100 for Nov 2018. Russia Consumer Price Index (CPI): Prev Dec=100: Medical Services: Artificial Crown Making data is updated monthly, averaging 108.885 Prev Dec=100 from Jan 1995 (Median) to Dec 2018, with 288 observations. The data reached an all-time high of 250.500 Prev Dec=100 in Dec 1995 and a record low of 100.780 Prev Dec=100 in Jan 2017. Russia Consumer Price Index (CPI): Prev Dec=100: Medical Services: Artificial Crown Making data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Inflation – Table RU.IA020: Consumer Price Index: Previous December=100: Services.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Russia Consumer Price Index (CPI): Prev Month=100: PC: Fancy Goods: Women Handbag: Artificial Leather data was reported at 99.930 Prev Mth=100 in Dec 2018. This records a decrease from the previous number of 100.270 Prev Mth=100 for Nov 2018. Russia Consumer Price Index (CPI): Prev Month=100: PC: Fancy Goods: Women Handbag: Artificial Leather data is updated monthly, averaging 100.745 Prev Mth=100 from Jan 1995 (Median) to Dec 2018, with 288 observations. The data reached an all-time high of 118.090 Prev Mth=100 in Sep 1998 and a record low of 99.880 Prev Mth=100 in Jul 2018. Russia Consumer Price Index (CPI): Prev Month=100: PC: Fancy Goods: Women Handbag: Artificial Leather data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Inflation – Table RU.IA010: Consumer Price Index: Previous Month=100: Non Food.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Russia Consumer Price Index (CPI): Prev Dec=100: CL: Footwear: Female: Artificial Leather: Summer Shoes data was reported at 101.870 Prev Dec=100 in Dec 2018. This stayed constant from the previous number of 101.870 Prev Dec=100 for Nov 2018. Russia Consumer Price Index (CPI): Prev Dec=100: CL: Footwear: Female: Artificial Leather: Summer Shoes data is updated monthly, averaging 105.290 Prev Dec=100 from Jan 1995 (Median) to Dec 2018, with 288 observations. The data reached an all-time high of 205.170 Prev Dec=100 in Oct 1995 and a record low of 99.990 Prev Dec=100 in Jan 2017. Russia Consumer Price Index (CPI): Prev Dec=100: CL: Footwear: Female: Artificial Leather: Summer Shoes data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Inflation – Table RU.IA019: Consumer Price Index: Previous December=100: Non Food.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Producer Price Index by Industry: Artificial Fibers and Filaments Manufacturing: Other Noncellulosic Organic Fibers, Including Polyamide, Polyolefin, and Producer-Textured (DISCONTINUED) (PCU32522032522029) from Jun 2011 to Dec 2017 about organic, fiber, manufacturing, PPI, industry, inflation, price index, indexes, price, and USA.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Producer Price Index by Industry: Artificial Fibers and Filaments Manufacturing (PCU3252232522) from Dec 2003 to May 2025 about fiber, manufacturing, PPI, industry, inflation, price index, indexes, price, and USA.