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Status and Development Proposals of Structure Lipid Industry in China

2023· article· en· W6962247057 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrobial Metabolism and Applications
Canadian institutionsMinistry of Agriculture
Fundersnot available
KeywordsChinaHuman healthTechnological changeLipid accumulation

Abstract

fetched live from OpenAlex

The three macronutrients of lipid, protein and carbohydrate are closely related to human health, and their supply is basically sufficient. However, with the increasing number of patients suffered from hyperlipidemia, obesity, etc., as well as the deepening of the aging process, traditional nutrients can not fulfill the nutritional needs of these people anymore. Therefore, nutritional, processing and organoleptic properties of these three major nutrients need to be enhanced by the deep-processing. Nowadays, the recombinant protein and carbohydrate industries have made great progress in China, but the recombinant lipid industry is just in its infancy. Hence, this paper briefly introduced the status, development opportunities and challenges of domestic structure lipid industry,and expounded the underlying efficacy mechanisms of several main structure lipids. The latest research progress on the health effects and preparation technology of structure lipid were also presented. In addition, in view of the existing problems, future development advices are proposed from the perspectives of theoretical breakthrough, technological innovation, and industrial upgrading, aiming to provide valuable references for the development of domestic structure industry.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.400
Threshold uncertainty score0.625

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.109
GPT teacher head0.497
Teacher spread0.388 · 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