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Record W2898058285 · doi:10.5004/dwt.2018.22501

Sludge remnant treatment based on ultrasound

2018· article· en· W2898058285 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

VenueDesalination and Water Treatment · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicHumic Substances and Bio-Organic Studies
Canadian institutionsNickel Institute
Fundersnot available
KeywordsEnvironmental scienceWaste managementUltrasoundMedicineEngineeringRadiology

Abstract

fetched live from OpenAlex

ABSTRACT To solve remaining sludge handling problems, ultrasonic waves were used. In the low C/N wastewater treatment process, a large carbon source needed to be added to maintain a certain nitrogen and phosphorus removal efficiency. After the remaining sludge was dissolved and broken, the internal carbon source was used as an external carbon source, flowing back into the main denitrification process. The change in nitrogen and phosphorus removal efficiency, the reduction of residual sludge and the effect of resource utilization were studied. The residual sludge was pretreated by ultrasonic waves. Under the ultrasonic action, the cell wall of the remaining sludge was cracked, and the contents were released into the system. The SCOD, ammonia nitrogen and total nitrogen in the system greatly increased. An A/O device was used for the rapid acclimation of the denitrification sludge, and the final influent index was 180 mg/L, and the COD was 1200 mg/L. Total phosphorus was 17 mg/L, and the ammonia nitrogen in the effluent was less than 1 mg/L. COD was less than 50 mg/L. The total phosphorus was less than 1 mg/L. The total nitrogen removal rate was about 86%. Regarding sludge reduction, the experimental group accumulated a 783.2 g discharge of residual sludge, while the sludge yield was 0.131 g-MLSS/g-COD, achieving a sludge reduction rate of 23.20%. Therefore, the system can effectively reduce excess sludge.

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 score0.542
Threshold uncertainty score0.394

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)0.0000.000

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 head0.030
GPT teacher head0.240
Teacher spread0.209 · 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