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Record W4289704407 · doi:10.5281/zenodo.1338122

Bio-Ceramics and Piezoceramics Market Consumption Analysis, Growth Forecast by Manufacturers, Regions and Trends Till 2023

2018· article· en· W4289704407 on OpenAlexaboutno aff
Deepak Deepak

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicHermeneutics and Narrative Identity
Canadian institutionsnot available
Fundersnot available
KeywordsConsumption (sociology)CeramicBusinessAgricultural engineeringAgricultural economicsEconomicsEngineeringMaterials scienceComposite material

Abstract

fetched live from OpenAlex

The global bio-ceramics and piezoceramics market is expected to grow at a stable rate during the forecast period owing to its increasing use in the applications such as orthopedic implants, diagnostic instruments, dental implants and others. Bio-ceramics and piezoceramics are used as biomaterials to fill in defects in tooth and bone, fractures, to replace diseased tissue, and to fix bone grafts.\n\nRequest Sample pages of this report : https://www.psmarketresearch.com/market-analysis/bio-ceramics-and-piezoceramics-market/report-sample\n\nThe bio-ceramics and piezoceramics market is segmented by material, application and region. On the basis of material, the market is categorized into bioactive ceramics, piezoceramics, bioinert ceramics, and bioresorbable ceramics. During the forecast period, the bio-inert ceramics is expected to contribute the major share in the market.\n\nThe major growth driver identified in the bio-ceramics and piezoceramics market is the growing medical sector in the emerging countries and the use of these ceramics in electronic devices. There is a rise in the ageing population in some of the developing countries, leading to the rise in osteoarthritis. For the treatment of this condition, these ceramics are used in hip replacement and knee implants.\n\nOn the basis of geography, the market is categorized into North America, Europe, Asia-Pacific (APAC), Latin America (LATAM), Middle East and Africa (MEA). APAC region is contributing a major share in the bio-ceramics and piezoceramics market. This is attributed to growing use of the product in dental implants, orthopedic implants, and surgical and diagnostic instruments in countries such as Korea, China, India, and Japan.\n\nRead summary of report here : https://www.psmarketresearch.com/market-analysis/bio-ceramics-and-piezoceramics-market\n\nSome of the major players operating in the global bio-ceramics and piezoceramics market are CoorsTek Inc., DePuy Synthes Companies, Morgan Advanced Materials PLC, CeramTec GmbH, Kyocera Corporation, Zimmer-Biomet holdings Inc., HC Starck GmbH, Saint-Gobain Ceramics & Plastics Inc., and NGK Spark Plug Co. Ltd.\n\nAbout P&S Intelligence\n\nP&S Intelligence, a brand of P&S Market Research, is a provider of market research and consulting services catering to the market information needs of burgeoning industries across the world.\n\nProviding the plinth of market intelligence, P&S as an enterprising research and consulting company, believes in providing thorough landscape analyses on the ever-changing market scenario, to empower companies to make informed decisions and base their business strategies with astuteness.\n\nContact:\n\nP&S Intelligence\nToll-free: +1-888-778-7886 (USA/Canada)\nInternational: +1-347-960-6455\nEmail: enquiry@psmarketresearch.com\nWeb: https://www.psmarketresearch.com\n\nConnect with us: LinkedIn | Twitter | Google + | Facebook

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.029
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0040.009
Science and technology studies0.0000.000
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0140.013

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.033
GPT teacher head0.235
Teacher spread0.202 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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