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The size of the Bounding Table market was valued at USD XXX million in 2024 and is projected to reach USD XXX million by 2033, with an expected CAGR of XX% during the forecast period.

Anova tables using Type II sums of squares for Linear mixed effects models of three yield response variables against experimental treatments. Explanatory variables listed are presence/absence factors.

The complete dataset used in the analysis comprises 36 samples, each described by 11 numeric features and 1 target. The attributes considered were caspase 3/7 activity, Mitotracker red CMXRos area and intensity (3 h and 24 h incubations with both compounds), Mitosox oxidation (3 h incubation with the referred compounds) and oxidation rate, DCFDA fluorescence (3 h and 24 h incubations with either compound) and oxidation rate, and DQ BSA hydrolysis. The target of each instance corresponds to one of the 9 possible classes (4 samples per class): Control, 6.25, 12.5, 25 and 50 µM for 6-OHDA and 0.03, 0.06, 0.125 and 0.25 µM for rotenone. The dataset is balanced, it does not contain any missing values and data was standardized across features. The small number of samples prevented a full and strong statistical analysis of the results. Nevertheless, it allowed the identification of relevant hidden patterns and trends.

Exploratory data analysis, information gain, hierarchical clustering, and supervised predictive modeling were performed using Orange Data Mining version 3.25.1 [41]. Hierarchical clustering was performed using the Euclidean distance metric and weighted linkage. Cluster maps were plotted to relate the features with higher mutual information (in rows) with instances (in columns), with the color of each cell representing the normalized level of a particular feature in a specific instance. The information is grouped both in rows and in columns by a two-way hierarchical clustering method using the Euclidean distances and average linkage. Stratified cross-validation was used to train the supervised decision tree. A set of preliminary empirical experiments were performed to choose the best parameters for each algorithm, and we verified that, within moderate variations, there were no significant changes in the outcome. The following settings were adopted for the decision tree algorithm: minimum number of samples in leaves: 2; minimum number of samples required to split an internal node: 5; stop splitting when majority reaches: 95%; criterion: gain ratio. The performance of the supervised model was assessed using accuracy, precision, recall, F-measure and area under the ROC curve (AUC) metrics.

Summarize big data with pivot table and charts and slicers

The global market for wooden coffee tables is a sizable industry that has recorded a market size of XXX million in 2025 and is projected to grow at a CAGR of XX% during the forecast period of 2025-2033. This market is primarily driven by the growing popularity of wooden furniture due to its durability, aesthetic appeal, and environmental friendliness. The demand for wooden coffee tables is further fueled by the increasing number of residential and commercial construction projects, as well as the rising trend of home décor and interior design. In terms of segmentation, the wooden coffee table market can be categorized based on application (home use, commercial, others), types (solid wood coffee table, reclaimed wood coffee table), and region (North America, South America, Europe, Middle East & Africa, Asia Pacific). Among these segments, the home use application is expected to hold the largest market share throughout the forecast period due to the increasing preference for stylish and functional furniture in residential settings. The solid wood coffee table type is also anticipated to dominate the market, driven by its durability, timeless appeal, and natural beauty. The Asia Pacific region is projected to witness the fastest growth in the wooden coffee table market, owing to the rising disposable income and growing urbanization in countries such as China and India.

A research manuscript entitled, "A Comparative Analysis of an Existing and Optimized Industrial Worm Gear Set" has been utilised following mentioned data in terms of figures, tables, graph, analytical calculations etc.Fig. 1. Steps Involved in Proposed Methodology- This represents the procedure of the research methodology.Fig. 2. Existing Worm Drawing and its Specifications (20MnCr5 Material) -Seprate company drawing sheet is provided as a dataset file named LHP Worm Details Old.Fig. 3. Existing Worm Wheel Drawing and its Specifications (PB2 Material)- Seprate company drawing sheet is provided as a dataset file named LHP Worm Wheel Old.Fig. 4. Assemble Position Set of Worm Gear - This is generated through CAD modelling softwareTable 1. Standard Material Properties -This is taken from literature and UTM Testing (Seprate data sheet of UTM Testing is provided) file named Tension Test.Fig.5. Conditions of Boundary with loading- figure generated by analysis software.Fig.6. Deflection Seen in assembly - figure generated by analysis software.Fig.7. Normal Stress is equal to Stress- Bending - figure generated by analysis softwareFig.8. Von-Mises Stresses of Worm - figure generated by analysis software.Fig.9. Equivalent Stresses - Von Mises Stresses in Worm Wheel- figure generated by analysis software.Table 2. Results of the Existing Worm and Worm Wheel Analysis with its comparison - Data sheet is supplied for this table file named Data Details.Table 3. Proposed / modified dimensions of Worm Gear - Seprate company drawing sheet is provided as a dataset file named LHP Worm Details New and LHP Worm Wheel New.Fig.10. Modified Worm Drafting and its Specifications (20MnCr5 Material)- Seprate company drawing sheet is provided as a dataset file named LHP Worm Details New.Fig.11. Modified Worm Wheel Drafting and its Specifications (20MnCr5 Material)- Seprate company drawing sheet is provided as a dataset file named LHP Worm Wheel New.Fig.12. CAD model of modified assembly of set of worm gear - This is generated through CAD modelling software.Fig. 13. Deflection Seen in assembly- figure generated by analysis software.Fig.14. Normal Stress is equal to Stress- Bending- figure generated by analysis software.Fig.15. Von -Mises Stresses of Worm- figure generated by analysis software.Fig.16. Stresses- Equivalent Von- Mises Stresses in Worm Wheel- figure generated by analysis software.Table 4. Results of the analysis (Comparative) - Data sheet is supplied for this table file named Data Details.Fig.17. Actual manufactured Set of Worm Gear - This is real image of actual manufactured gear set as per proposed dimensions.Table 5. Comparison of Existing Worm Gear and Optimized Worm Gear on the basis of Stress and Deflection- Data sheet is supplied for this table file named Data Details.Table 6. Comparison of Existing and Modified Worm Gear Set- Data sheet is supplied for this table file named Data Details.Fig.18. Graphical representation of a comparison of Existing and Optimized Worm Gear - Data sheet is supplied for this table file named Data Details.Names of uploaded files :Figures Tables and Graphs. pdfData Details. pdfLHP Worm Details Old.pdfLHP Worm Wheel Old.pdfLHP Worm Details New.pdfLHP Worm Wheel New.pdfTension Test.pdf

Supplementary Table 2: Summary of WGS data generated using ONT for the three Laboratory strains

Supplementary tables for the manuscript "Theme Enrichment Analysis: A Statistical Test for Identifying Significantly Enriched Themes in a List of Stories with an Application to the Star Trek Television Franchise".

Supplementary Information File 1 contains a table of Star Trek TOS/TAS/TNG television series episodes featuring the Klingon alien race. The criterion for inclusion is that the Klingons were deemed by the authors to have been featured throughout the episode in a way that is central to the story plot.

Supplementary Information File 2 contains tables of over-represented Literary Theme Ontology version 0.1.1 literary themes in Star Trek TOS/TAS/TNG television series storysets as identified by the hypergeometric test.

Supplementary Information File 3 contains tables of over-represented Literary Theme Ontology version 0.1.1 literary themes in Star Trek TOS/TAS/TNG television series storysets as identified by the TF-IDF statistic.

The Travel Monitoring Analysis System (TMAS) - Stations Table dataset was compiled on December 31, 2024 and was published on September 25, 2025 from the Federal Highway Administration (FHWA), and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The data included in this table have been collected by the FHWA from State DOTs through 24/7 permanent count data. The attributes are used by FHWA for its Travel Monitoring Analysis System and external agencies and have been intentionally limited to location referencing attributes since the core station description attribute data are contained within TMAS. The attributes in the Station data correspond with the Station file format found in Chapter 6 of the 2001 Traffic Monitoring Guide (https://doi.org/10.21949/1519109). A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529084

The global Adjustable X-ray Tables market is poised for significant expansion, projected to reach an estimated market size of approximately $750 million by 2025, with a robust Compound Annual Growth Rate (CAGR) of around 6.5% anticipated through 2033. This growth is primarily fueled by the increasing demand for advanced diagnostic imaging solutions, driven by the rising global incidence of chronic diseases, an aging population, and a continuous surge in healthcare expenditure. The expanding need for precise patient positioning during X-ray procedures to ensure accurate diagnoses, coupled with technological advancements leading to more versatile and user-friendly adjustable tables, are key drivers. Furthermore, the growing adoption of fixed and mobile X-ray systems in diverse healthcare settings, from large hospitals to smaller clinics, is contributing to market traction. The market is also benefiting from government initiatives focused on improving healthcare infrastructure and promoting early disease detection. The market is segmented into hospital and clinic applications, with hospitals representing the larger share due to higher patient volumes and the availability of advanced imaging equipment. The "Others" segment, encompassing smaller diagnostic centers and specialized imaging facilities, is also expected to witness steady growth. In terms of types, both mobile and fixed adjustable X-ray tables are crucial, with mobile units gaining popularity for their flexibility in various imaging scenarios. Key restraints for the market include the high initial cost of sophisticated adjustable X-ray tables, the need for regular maintenance, and the limited availability of skilled technicians in certain regions. However, the continuous innovation in materials, design, and integrated features, alongside a growing emphasis on patient comfort and operator ergonomics, are expected to overcome these challenges and sustain the market's upward trajectory. Leading companies are actively investing in research and development to introduce innovative products and expand their global reach.

The North America Pool Tables Market would witness market growth of 4.7% CAGR during the forecast period (2024-2031). The US market dominated the North America Pool Tables Market by Country in 2023, and would continue to be a dominant market till 2031; thereby, achieving a market value of $80,427.4

The global Surgical Tables market is poised for steady growth, projected to reach approximately $759 million in 2025, with an anticipated Compound Annual Growth Rate (CAGR) of 2.2% through 2033. This expansion is underpinned by increasing investments in advanced healthcare infrastructure, particularly in emerging economies, and the growing demand for specialized surgical procedures. The market is witnessing a significant shift towards technologically advanced tables that offer enhanced patient positioning, imaging integration, and ergonomic benefits for surgical teams. Key drivers include the rising prevalence of chronic diseases and age-related conditions necessitating complex surgeries, along with governmental initiatives to upgrade hospital facilities and improve healthcare access. The continuous innovation in surgical table design, focusing on modularity and adaptability for various surgical specialties, is also contributing to market momentum. The competitive landscape for surgical tables is characterized by a mix of established global players and regional manufacturers, all vying for market share through product innovation, strategic partnerships, and expanding distribution networks. The market segmentation reveals a strong demand across various applications, with hospitals being the primary consumers, followed by emergency centers and clinics. The 'General Surgery Tables' segment holds a substantial market share due to its broad applicability, while specialized segments like 'Imaging Tables' and 'Orthopedic Tables' are experiencing robust growth due to the increasing adoption of minimally invasive techniques and advanced imaging modalities. Geographically, North America and Europe currently dominate the market, driven by high healthcare expenditure and advanced medical technologies, but the Asia Pacific region is emerging as a significant growth engine due to rapid healthcare development and a burgeoning patient population.

IntroductionIn recent years, high-density microelectrode arrays (HD-MEAs) have emerged as a valuable tool in preclinical research for characterizing the electrophysiology of human induced pluripotent stem-cell-derived cardiomyocytes (iPSC-CMs). HD-MEAs enable the capturing of both extracellular and intracellular signals on a large scale, while minimizing potential damage to the cell. However, despite technological advancements of HD-MEAs, there is a lack of effective data-analysis platforms that are capable of processing and analyzing the data, particularly in the context of cardiac arrhythmias and drug testing.MethodsTo address this need, we introduce CardioMEA, a comprehensive data-analysis platform designed specifically for HD-MEA data that have been obtained from iPSCCMs. CardioMEA features scalable data processing pipelines and an interactive web-based dashboard for advanced visualization and analysis. In addition to its core functionalities, CardioMEA incorporates modules designed to discern crucial electrophysiological features between diseased and healthy iPSC-CMs. Notably, CardioMEA has the unique capability to analyze both extracellular and intracellular signals, thereby facilitating customized analyses for specific research tasks.Results and discussionWe demonstrate the practical application of CardioMEA by analyzing electrophysiological signals from iPSC-CM cultures exposed to seven antiarrhythmic drugs. CardioMEA holds great potential as an intuitive, userfriendly platform for studying cardiac diseases and assessing drug effects.

Acknowledgements

This dataset was provided by Maven Analytics

I would like to extend my gratitude to Maven Analytics for making this dataset available for educational and personal projects. Their contributions to data analytics and education are greatly appreciated.

*# This dataset is for educational purpose. It has 10 tables which have different role and data. *

**Tables **

1) Calendar Lookup

     1) Date 

2) Customer Lookup

     1) CustomerKey
     2) Prefix
     3) FirstName
     4) LastName
     5) BirthDate
     6) MaritalStatus
     7) Gender
     8) EmailAddress
     9) AnnualIncome
     10) TotalChildren
     11) Occupation

3) Product Categories Lookup

    1) ProductCategoryKey
    2) CategoryName

4) Product Lookup

    1) ProductKey
    2) ProductSubcategoryKey
    3) ProductSKU
    4) ProductName
    5) ModelName
    6) ProductDescription
    7) ProductColor
    8) ProductSize
    9) ProductStyle
    10) ProductCost
    11) ProductPrice 

5) Product Subcategories Lookup

    1) ProductSubcategoryKey    
    2) SubcategoryName
    3) ProductCategoryKey

6) Returns Data

    1) ReturnDate
    2) TerritoryKey
    3) ProductKey
    4) ReturnQuantity

7) Sales Data 2022

    1) OrderDate
    2) StockDate
    3) OrderNumber
    4) ProductKey
    5) CustomerKey
    6) TerritoryKey
    7) OrderLineItem
    8) OrderQuantity

8) Sales Data 2021

    1) OrderDate
    2) StockDate
    3) OrderNumber
    4) ProductKey
    5) CustomerKey
    6) TerritoryKey
    7) OrderLineItem
    8) OrderQuantity

9) Sales Data 2022

    1) OrderDate
    2) StockDate
    3) OrderNumber
    4) ProductKey
    5) CustomerKey
    6) TerritoryKey
    7) OrderLineItem
    8) OrderQuantity

10) Territory Lookup

    1) SalesTerritoryKey
    2) Region
    3) Country
    4) Continent

The Table Linen Market size was valued at USD 1516.2 million in 2023 and is projected to reach USD 2091.14 million by 2032, exhibiting a CAGR of 4.7 % during the forecasts period.

Snapshot img

Snooker Table Market Size 2024-2028

The snooker table market size is forecast to increase by USD 31.8 million at a CAGR of 2.8% between 2023 and 2028.

The market is experiencing significant growth due to the increasing popularity of indoor recreational sports. With more individuals seeking entertainment options at home, the demand for snooker tables has surged. Furthermore, the rise of e-commerce platforms has facilitated the online sales of snooker tables and related equipment, expanding market reach. However, the market faces challenges such as fluctuating raw material prices and transportation costs, which can impact manufacturers' profitability. To mitigate these challenges, companies are focusing on cost optimization strategies, including sourcing raw materials from reliable suppliers and implementing efficient logistics networks. Overall, the market is poised for growth, driven by consumer preferences for indoor recreation and the convenience of online sales.

What will be the Size of the Snooker Table Market During the Forecast Period?

Request Free SampleThe market encompasses the production and sale of cue sports equipment, primarily focusing on full-size and mini snooker tables, billiard boards, cue sticks, balls, and accessories. Quarried slate and worsted wool are common materials used in manufacturing high-quality snooker tables, while vulcanized rubber cushions ensure optimal ball bounce. The market caters to various sectors, including snooker clubs, leisure activities, educational institutions, and home recreation. Snooker and billiards, collectively known as cue sports, have gained significant popularity worldwide as a social and competitive pastime. The point system and muscle memory required for pocketing balls appeal to both casual players and seasoned professionals.E-commerce platforms and sports bars have made snooker tables accessible to a wider audience, while recreational centers, hotels, and grassroots programs provide training facilities for aspiring players. The market continues to grow, driven by increasing sports participation and the ongoing evolution of cue sports as a popular leisure activity.

How is this Snooker Table Industry segmented and which is the largest segment?

The snooker table industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments. ApplicationIndoor gamesSports eventsGeographyEuropeGermanyUKFranceNorth AmericaUSAPACChinaSouth AmericaMiddle East and Africa

By Application Insights

The indoor games segment is estimated to witness significant growth during the forecast period.

Snooker tables, a popular variant of billiards, are primarily used for indoor leisure activities. These tables are found in homes, educational institutions, snooker clubs, and recreational centers. Corporate offices also incorporate snooker tables as a recreational facility for employees. The standard indoor snooker table measures around 12 ft x 6 ft, with a playing surface of approximately 11 ft x 5 ft. companies provide smaller versions, measuring around 4 ft x 2 ft, for compact spaces. Indoor snooker tables consist of essential components, including pockets, a rail system, an apron system, a playing surface, a frame, base frame, and leg assembly.Snooker enthusiasts utilize cue sticks to hit the balls into pockets based on a point system. The game involves red balls and requires muscle memory and training facilities. Snooker tables are available in various sizes and structures, including convertible versions and outdoor weatherproof models. Online marketing and sales platforms offer easy access to these tables for home recreation and automotive applications. Sports specialists, sports participation programs, sports bars, recreational centers, hotels, and grassroots initiatives also utilize snooker tables. World Disability Snooker Championships and other snooker championships promote the game's popularity and inclusivity.

Get a glance at the Snooker Table Industry report of share of various segments Request Free Sample

The Indoor games segment was valued at USD 115.80 million in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

Europe is estimated to contribute 39% to the growth of the global market during the forecast period.

Technavio’s analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

For more insights on the market share of various regions, Request Free Sample

Snooker, a popular cue sport, is widely played in Europe as a leisure activity. Countless snooker clubs and billiard parlors cater to enthusiasts in countries such as the UK, France, Germany, and Italy. Snooker tables, featuring quarry slate surfaces, worsted wool cloth, and vulcanized rubber

Statistics on the types of petition cases reviewed by the Taoyuan City Governments Petition Review Committee each year

The size of the Contemporary Dining Table market was valued at USD 4670 million in 2024 and is projected to reach USD 6355.22 million by 2033, with an expected CAGR of 4.5% during the forecast period.