Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Abstract: This study investigates how to use the gridded satellite datasets of observational precipitation to improve the performance of the climatological simulation by using the method of non-parametric quantile mapping (QM). The precipitation in Southeast Asia is simulated in 2001–2005 using the climate model of Weather Research and Forecasting (WRF). Two satellite datasets of observational precipitation, GSMaP and CHIRPS, are used for model training, simulation evaluation, and cross-validation. The evaluations of simulation and bias correction suggest that QM is able to perfectly correct the overall quantile distributions of the simulated precipitation, which has overestimation at most quantiles, especially for light and extreme precipitation. After the QM correction based on GSMaP (CHIRPS), the relative bias of the monthly average for all months is reduced from 39.3% to 4.1% (from 57.2% to 4.2%). The biases of spatial patterns are largely narrowed from 43.5% (59.4%) to 4.0% (2.5%) for annual-mean precipitation and from 43.5% (59.4%) to 4.0% (2.5%) for extreme precipitation. The results indicate that the QM correction based on the gridded satellite datasets outperforms the raw model output and greatly improves the estimates of the simulated precipitation.Dataset description:Name regulation: XXX05: 5km; XXX10: 10km; 01-12: 12 months; OBS: observation; WRF: WRF simulation; QMC: quantile mapping correction.Folder "grid_data_OBS": daily grid data of observation;Folder "grid_data_WRF": daily grid data of WRF simulation;Folder "grid_data_QMC": daily grid data of QM correction;Folder "Figure 2 - cdf_OBS_WRF_QMC": data for results in Figure 2;Folder "Figure 3 - statistics_mon_QMC": data for results in Figure 3;Folder "Figure 4 - annual precipitation": data for results in Figure 4;Folder "Figure 5 - extreme precipitation": data for results in Figure 5.
https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy
The global Medical Journal market size was valued at USD XXX million in 2025 and is expected to expand at a CAGR of XX% over the forecast period (2025-2033). The market growth is primarily driven by the increasing demand for medical information due to the rising prevalence of chronic diseases, technological advancements in medical research, and the growing adoption of electronic medical journals. The increasing government funding for medical research and the emergence of open access publishing are also contributing to the growth of the market. North America dominates the global medical journal market, followed by Europe and Asia Pacific. The high prevalence of chronic diseases, well-established healthcare systems, and significant research activities in North America contribute to its dominance. Europe is also a major market for medical journals, driven by the strong presence of leading medical research institutes and universities. Asia Pacific is expected to witness significant growth in the coming years due to the increasing healthcare spending and the growing adoption of electronic medical journals. Key players in the global medical journal market include The Lancet, Nature, WMA, V‧Pulse, BMJ, EMJ, NEJM Group, Chinese Medical Association, JAMA, MJA, BioMed Central, MDPI, JMIR, QJM, Via Medica, Irish Medical Journal, JKMS, and Karger.
The compressed files are seasonal forecasts of discharge based on ECMWF System4 (1981-2003) and GLOSEA5 (1996-2003) for the Koutsoulidis catchment, Crete, Greece. The location of the Koutsoulidis catchment as well as the methodology of data development and validation are described in the open access publication by Grillakis et al., 2018 (https://www.mdpi.com/2073-4441/10/11/1593). Seasonal forecasts of Standardized Precipitation Index (SPI) based on ECMWF System4 (1981-2009) and GLOSEA5 (1996-2009) for the Messara catchment are also included. A description of the study site and methodology is included in the poster attached in the compressed file (EGU201712072-Koutroulis).
https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy
According to Cognitive Market Research, the global Liquid Silicone Rubber Equipment market size will be USD XX million in 2025. It will expand at a compound annual growth rate (CAGR) of XX% from 2025 to 2033.
North America held the major market share for more than XX% of the global revenue with a market size of USD XX million in 2025 and will grow at a CAGR of XX% from 2025 to 2033.
Europe accounted for a market share of over XX% of the global revenue with a market size of USD XX million in 2025 and will grow at a CAGR of XX% from 2025 to 2033.
Asia Pacific held a market share of around XX% of the global revenue with a market size of USD XX million in 2025 and will grow at a CAGR of XX% from 2025 to 2033.
Latin America had a market share of more than XX% of the global revenue with a market size of USD XX million in 2025 and will grow at a CAGR of XX% from 2025 to 2033.
Middle East and Africa had a market share of around XX% of the global revenue and was estimated at a market size of USD XX million in 2025 and will grow at a CAGR of XX% from 2025 to 2033.
Liquid Silicone Rubber Equipment Market Dynamics
Key Drivers of
Liquid Silicone Rubber Equipment Market
Rising adoption of LSR in medical device manufacturing drives equipment demand
The medical sector is witnessing accelerated adoption of LSR components due to stringent regulatory requirements and growing demand for biocompatible, sterilizable materials. Products such as seals, valves, catheter tips, and baby care items increasingly rely on LSR injection moulding systems that deliver contamination-free, precision-engineered outputs. A report published in the journal Polymers (MDPI, 2023) noted a 16% annual increase in the use of Class VI-grade LSR in catheter and infusion components across North America and Europe, citing improved durability, low compression set, and design freedom as key benefits. (Source: https://www.mdpi.com/journal/polymers) LSR moulding equipment with cleanroom capabilities and FDA-grade compliance is thus witnessing strong demand.
Growing adoption of electric vehicles drives LSR equipment demand
The rapid expansion of electric vehicle (EV) production is fuelling unprecedented demand for high performance silicone components—particularly those manufactured via LSR processes. In 2023, nearly 14 million electric cars were sold globally, representing about 18% of all new car sales and marking a 35% year on year increase in EV uptake. (Source: IEA) This surge is expected to continue, with forecasts projecting over 17 million EVs sold in 2024, driven by policy incentives and growing consumer acceptance (Source: Reuters) EV manufacturers rely on LSR for critical parts such as battery pack gaskets, high voltage connector seals, and thermal management pads—all of which must endure extreme temperature cycles, chemical exposure, and mechanical stress. To meet the scale and precision requirements of these applications, OEMs and tier 1 suppliers are investing in advanced LSR injection moulding systems featuring multi cavity tooling, closed loop pressure control, and rapid cycle capabilities. As the EV market accelerates, the need for automated, high throughput LSR equipment becomes essential to achieve both production volume and stringent quality standards.
Key Restraints to
Liquid Silicone Rubber Equipment Market
High cost of precision metering and dosing systems limits broader adoption in SME manufacturing
Advanced LSR equipment requires accurate metering and mixing of two-component silicone materials in controlled ratios, often demanding highly engineered systems that integrate with cleanroom and robotic environments. The capital expenditure for such systems—particularly servo-driven metering pumps and multi-cavity injection presses—can be prohibitive for small to mid-size manufacturers. Moreover, integration into existing thermoplastic or legacy rubber lines often demands infrastructure upgrades and trained personnel. According to a 2022 analysis from the U.S. Manufacturing Extension Partnership (NIST MEP), SMEs face integration challenges when adding high-complexity machines, citing automation compatibility and ROI uncertainty as top concerns. (Source: https://www.nist.gov/mep , Manufacturing Extension Partnerships Face Uncertain Future as Trump Pulls Funding | IndustryWeek)
Key Trends In
Liquid Silicone Rub...
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
IonoBench Datasets
IonoBench: Evaluating Spatiotemporal Models for Ionospheric Forecasting under Solar-Balanced and Storm-Aware ConditionsPublished in Remote Sensing (MDPI)
These datasets is part of the IonoBench Evaluation Framework, designed to benchmark spatiotemporal deep learning models for ionospheric TEC forecasting across varying solar and geomagnetic conditions.
Highlights
Stratified Train/Val/Test Splits:
Balanced across solar activity levels to support… See the full description on the dataset page: https://huggingface.co/datasets/Mertjhan/IonoBench.
https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy
The global Crumb Rubber market will expand significantly by xx% CAGR between 2024 and 2031.
The demand for Crumb Rubber from Commercial Vehicle is rising in the global Crumb Rubber market.
Demand for Synthetic crumb rubber is rising in the global Crumb Rubber market.
Demand for Tire Manufacturing applications is rising in the global Crumb Rubber market.
Demand for Direct Sales is rising in the global Crumb Rubber market.
Demand for Up to 10 Mesh types is rising in the global Crumb Rubber market.
Demand for Construction end users is rising in the global Crumb Rubber market.
North America region will continue to lead, as dominating region and highest compound annual growth rate in the forecast year 2024 to 2031.
Current scenario of the Crumb Rubber market
Key opportunity of the Crumb Rubber market
Increasing Surging demand for recycled materials acts as an opportunity for the Crumb Rubber Market.
The market is anticipated to be driven by the growing need for recycled materials in the automotive industry. Utilizing recycled materials like crumb rubber in-vehicle components and production processes is becoming more popular as the automotive industry faces pressure to lessen its environmental effect and comply with strict emissions requirements.
For example, Total amount of rubber recycled at its end-of-life: typically, 3–15%; Total of waste rubber re-used in some way (e.g., retreading, new products, etc.): 5–23%; Total of waste rubber used for energy recovery: 25–60%; Total of waste rubber sent out to landfill or stored: 20–30%.
Source (https://www.mdpi.com/2313-4321/6/4/78)
Recycling rubber is a crucial part of a sustainable, green future. It reduces the need for new raw materials, conserves natural resources, and reduces greenhouse gas emissions. Recycling also creates jobs and supports local economies. The Rubber Manufacturers Association reports that nearly 270 million tires are discarded annually in the US, reducing the number of tires needed for landfills and lowering greenhouse gas emissions. Recycling rubber also saves energy, prevents materials from entering landfills, and reduces carbon footprint. By reusing rubber, we can create new environmentally friendly products and contribute to a more resilient and prosperous society. The recycling of rubber materials acts as an opportunity for crumb rubber market growth.
Key drivers of the Crumb Rubber market
Growing infrastructural development drives the Crumb Rubber Market.
Growing infrastructural development, over the past few decades, the world has advanced dramatically. The need for housing, urban mobility marketplaces, and other public services has expanded due to the growing global population. Furthermore, the need for improved infrastructure, including roads, bridges, homes, offices, entertainment centers, and retail malls, has grown as a result of the fast urbanization and industrialization of the world. Any economy needs strong connectivity and seamless mobility as its cornerstones. They make trade easier on a local, regional, national, and worldwide level. They also produce a considerable amount of revenue, employment, and income. Every economy recognizes the value of a strong infrastructure. To promote economic development, governments everywhere are spending more money on infrastructure development, including building roads, motorways, bridges, airports, ports, residential communities, schools, hospitals, commercial buildings, and other public services.
For example,India will require an infrastructure investment of about $1.4 trillion by 2025.
For example, In 2021, China was the country with the highest spending on infrastructure worldwide as a share of its GDP.
Source (https://www.statista.com/topics/3876/global-infrastructure/#topicOverview)
The long-term goals are to create jobs, improve living standards, facilitate seamless transportation and communication, draw in private capital, and provide income. The population's increased desire for homes, offices, markets, entertainment venues, roadways, etc. has resulted in a rise in private investment in infrastructure projects. To construct better and more durable infrastructure, new technologies and materials must be integrated into existing infrastructure. When compared to other building materials, crumb...
https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy
The global Feature Phone Market size was USD XX Billion in 2023 and is likely to reach USD XX Billion by 2032, expanding at a CAGR of XX% during 2024–2032. The market growth is attributed to the rising number of individuals desiring to minimalize their digital lifestyle.
Growing awareness about personal wellness and the side effects of increased screen time on smartphones is leading to the adoption of feature phones. These phones come with small screens and keypads, with basic applications installed for necessary digital tasks. Feature phones enable people to meet their basic needs for mobile communication and internet connectivity while reducing time spent on social media, mobile gaming, and chatting.
Feature phones offer several advantages, that enable ease of use and longer durability. They are cost-friendly and fulfill nearly every basic requirement a phone should meet, including calling, messaging, sending & receiving payments, and simple browsing. With growing awareness about the benefits of backup simple feature phones, their demand is likely to surge in the market.
<span lang=&
https://www.gnu.org/licenses/gpl-3.0.htmlhttps://www.gnu.org/licenses/gpl-3.0.html
Curated datasets and R script for article entitled "Exploring Temperature-Related Effects in Catch Crop Net N Mineralization Outside of First-Order Kinetics", submitted in MDPI journal Nitrogen March 2021.The dataset contains incubation results as well as non-linear least squares modelling results.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
These files are accompanying material for our submission "Using a Machine Learning Regression Approach to Predict the Aroma Partitioning in Diary Matrices" to MDPI Processes:
Aroma partitioning in food is a challenging area of research due to the contribution of several physical and chemical factors that affect the binding and release of aroma in food matrices. The partition coefficient measured by the Kmg value refers to the partition coefficient that describes how aroma compounds distribute themselves between matrices and a gas phase, such as between different components of a food matrix and air. This study introduces a regression approach to predict the Kmg value of aroma compounds of a wide range of physicochemical properties in dairy matrices representing products of different compositions and/or processing. The approach consists of data cleaning, grouping based on the temperature of Kmg analysis, pre-processing (log transformation and normalization), and, finally, the development and evaluation of prediction models with regression methods. We compared regression analysis with linear regression (LR) to five machine-learning-based regression algorithms: Random Forest Regressor (RFR), Gradient Boosting Regression (GBR), Extreme Gradient Boosting (XGBoost, XGB), Support Vector Regression (SVR), and Artificial Neural Network Regression (NNR). Explainable AI (XAI) was used to calculate feature importance and therefore identify the features that mainly contribute to the prediction. The top three features that were identified are log P, specific gravity, and molecular weight. For the prediction of the Kmg in dairy matrices, R2 scores of up to 0.99 were reached. For 37.0 °C, which resembles the temperature of the mouth, RFR delivered the best results, and, at lower temperatures of 7.0 ◦C, typical for a household fridge, XGB performed best. The results from the models work as a proof of concept and show the applicability of a data-driven approach with machine learning to predict the Kmg value of aroma compounds in different dairy matrices.
We provided two folders with the results and scripts, described by documentation:
https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy
BASE YEAR | 2024 |
HISTORICAL DATA | 2019 - 2024 |
REPORT COVERAGE | Revenue Forecast, Competitive Landscape, Growth Factors, and Trends |
MARKET SIZE 2023 | 5.04(USD Billion) |
MARKET SIZE 2024 | 5.35(USD Billion) |
MARKET SIZE 2032 | 8.5(USD Billion) |
SEGMENTS COVERED | Service Type, End User, Geography of Usage, Publication Format, Regional |
COUNTRIES COVERED | North America, Europe, APAC, South America, MEA |
KEY MARKET DYNAMICS | Increasing demand for publishing services, Growing emphasis on research dissemination, Rise in digital publishing platforms, Need for regulatory compliance, Expansion of global academic collaborations |
MARKET FORECAST UNITS | USD Billion |
KEY COMPANIES PROFILED | Wiley, Frontiers Media, John Wiley and Sons, Cambridge University Press, PLOS, Taylor and Francis, MDPI, Elsevier, American Chemical Society, Emerald Group Publishing, Informa, Oxford University Press, SAGE Publishing, Institute of Electrical and Electronics Engineers, Springer Nature |
MARKET FORECAST PERIOD | 2025 - 2032 |
KEY MARKET OPPORTUNITIES | Increased demand for academic publishing, Growth of online and digital platforms, Expanding research funding globally, Rising need for enhanced data visualization, Emergence of AI-driven publishing solutions |
COMPOUND ANNUAL GROWTH RATE (CAGR) | 5.97% (2025 - 2032) |
https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy
According to Cognitive Market Research, the Global Lyophilization equipment market Size will be USD XX Billion in 2023 and is set to achieve a market size of USD XX Billion by the end of 2031 growing at a CAGR of XX% from 2024 to 2031.
Based on Product type, the Manifold freeze dryers segment dominates the Lyophilization equipment market. Based on product type, in the Lyophilization equipment market, it can be divided into tray-style freeze dryers, manifold freeze dryers, and rotary freeze dryers
Based on Application, the Food processing segment dominates the Lyophilization equipment market. Based on Application, in the Lyophilization equipment market it can be divided into pharmaceutical and biotech manufacturing, food processing and packaging, and others.
Based on Device type, the Industrial segment dominates the Lyophilization equipment market. Based on device type, in the Lyophilization equipment market, it can be divided into Industrial, Laboratory, and General Purpose.
Based on Scale of operation, the Industrial Scale segment dominates the Lyophilization equipment market. Based on the Scale of operation, in the Lyophilization equipment market, it can be divided into bench top, pilot scale, and industrial scale.
The North American region accounted for the highest market share in the Global Lyophilization equipment’ Market.
Over the course, Europe will register the highest CAGR in the Lyophilization equipment market.
CURRENT SCENARIO OF THE LYOPHILIZATION EQUIPMENT MARKET
Key factors driving the Lyophilization equipment market
Growing pharmaceutical and biotech manufacturing segment driving the global lyophilization equipment market growth
Equipment for freeze-drying is used by the pharmaceutical sector to stabilise and preserve medications, vaccines, and biopharmaceuticals. The pharmaceutical industry's increasing need for novel pharmaceutical formulations, like customised medication and biologics, is fueling the need for freeze-drying equipment. Biologics are complex materials that need to be treated carefully, such as recombinant proteins and monoclonal antibodies.
The biologics market, which accounts for 46% of spending, or roughly USD 260 billion, is growing faster than the non-biologics market on an invoice basis, according to IQVIA. (Source; https://www.iqvia.com/insights/the-iqvia-institute/reports-and-publications/reports/biosimilars-in-the-united-states-2023-2027)
Of this, 14% is made up of molecules facing competition from biosimilars (USD 38 billion), and 70% is made up of molecules that could potentially have biosimilars in the future (USD 181 billion). This expansion suggests that the production and preservation of biologicals have a significant demand for freeze-drying equipment.
Additionally, vaccinations are crucial for preventing infectious diseases and advancing public health. Due to government attempts to combat illnesses and the need for preventative healthcare measures, the worldwide vaccine industry is growing at a rapid pace. For instance, during the COVID-19 pandemic, the demand for immunizations surged worldwide, requiring increased freeze-dry technology-based production and distribution operations. Pharmaceutical companies are putting more and more emphasis on better medication formulations, like injectables, lyophilized drugs, and oral solid dosage forms. The pharmaceutical industry's growth and the necessity for equipment for freeze-drying to meet the demands of complex medication formulations are to blame for this surge. Improved freeze-drying technologies will be required as the pharmaceutical business develops and grows, which will accelerate the global trend in freeze-drying equipment sales. The use of lyophilization is crucial for both pharmaceutical and biopharmaceutical manufacturing.
For instance, according to an article published in the Pharmaceutics Journal in July 2021, freeze drying, also known as lyophilization, is the most employed process for producing pharmaceutical products that are unstable and thermosensitive in an aqueous medium in order to ensure stability and long-term storage in the dried state. Given the advantages, the demand for lyophilization equipment and services by pharmaceutical and biotech companies is estimated to rise during the analysis period. (Source; https://www.mdpi.com/1999-4923/13/8/1112)
The pharmaceutical and biotech companies are engage...
Not seeing a result you expected?
Learn how you can add new datasets to our index.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Abstract: This study investigates how to use the gridded satellite datasets of observational precipitation to improve the performance of the climatological simulation by using the method of non-parametric quantile mapping (QM). The precipitation in Southeast Asia is simulated in 2001–2005 using the climate model of Weather Research and Forecasting (WRF). Two satellite datasets of observational precipitation, GSMaP and CHIRPS, are used for model training, simulation evaluation, and cross-validation. The evaluations of simulation and bias correction suggest that QM is able to perfectly correct the overall quantile distributions of the simulated precipitation, which has overestimation at most quantiles, especially for light and extreme precipitation. After the QM correction based on GSMaP (CHIRPS), the relative bias of the monthly average for all months is reduced from 39.3% to 4.1% (from 57.2% to 4.2%). The biases of spatial patterns are largely narrowed from 43.5% (59.4%) to 4.0% (2.5%) for annual-mean precipitation and from 43.5% (59.4%) to 4.0% (2.5%) for extreme precipitation. The results indicate that the QM correction based on the gridded satellite datasets outperforms the raw model output and greatly improves the estimates of the simulated precipitation.Dataset description:Name regulation: XXX05: 5km; XXX10: 10km; 01-12: 12 months; OBS: observation; WRF: WRF simulation; QMC: quantile mapping correction.Folder "grid_data_OBS": daily grid data of observation;Folder "grid_data_WRF": daily grid data of WRF simulation;Folder "grid_data_QMC": daily grid data of QM correction;Folder "Figure 2 - cdf_OBS_WRF_QMC": data for results in Figure 2;Folder "Figure 3 - statistics_mon_QMC": data for results in Figure 3;Folder "Figure 4 - annual precipitation": data for results in Figure 4;Folder "Figure 5 - extreme precipitation": data for results in Figure 5.