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Record W2388759413

Study on the Preparation of Ti-CMC-HTL/WP and Its Adsorption Performance

2014· article· en· W2388759413 on OpenAlex
Zhi Li

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

VenueCailiao daobao · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicAdsorption and biosorption for pollutant removal
Canadian institutionsScience North
Fundersnot available
KeywordsCoprecipitationAdsorptionMaterials scienceMethylene blueNuclear chemistryChemical engineeringChemistryInorganic chemistryCatalysisOrganic chemistryPhotocatalysis
DOInot available

Abstract

fetched live from OpenAlex

Ti-CMC-HTL/WP was fleetly prepared by the technology of the microwave-crystallization and low saturated state of coprecipitation.The purposed sample was characterized by XRD,IR and SEM.The results show that the synthesized Ti-CMC-HTL/WP with 50-100 nm particles having the structure of HTL.Ti-CMC-HTL/WP was then applied to the adsorption of methylene blue(MB).The effects of adsorbent times,the adsorbent temperature,MB concentration and cycle life on the MG adsorption are investigated,the results show that Ti-CMC-HTL/WP has the good cycle life and the removal rate of MB can reach 94.5% under of the conditions of 40℃ adsorbent temperature,adsorbent time of 40 minutes,MB concentration of 32mg/L and adsorbent concentration of 200mg/L,which suggest that Ti-CMC-HTL/WP can be used as a novel and efficient adsorbent for the removal of MB.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.651
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.022
GPT teacher head0.254
Teacher spread0.232 · 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