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Record W7081928865 · doi:10.11159/icbb25.156

Experimental Assessment Of An Inactivated Vaccine Against Histoplasma Capsulatum Var. Farciminosum In Horses

2025· article· en· W7081928865 on OpenAlexvenueno aff

Bibliographic record

VenueProceedings of the World Congress on New Technologies · 2025
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsInactivated vaccineHistoplasma capsulatumVaccinationInactivated Poliovirus VaccineHistoplasmaPathogenicityAntibody

Abstract

fetched live from OpenAlex

Epizootic lymphangitis is a chronic infectious disease of equids, caused by the dimorphic fungus Histoplasma capsulatum var.farciminosum, and characterized by inflammation of the lymphatic vessels and formation of purulent lesions.In Kazakhstan, the disease remains endemic due to geographic proximity and active trade with neighboring countries.The objective of this study was to evaluate the safety, immunogenicity, and stability of an experimental inactivated vaccine developed using H. capsulatum var.. farciminosum strain "8ZH".Two fungal strains ("8ZH" and control "T") were cultivated, and the biological properties, virulence, and antigenic activity were assessed.The optimal inactivation conditions using 0.05% beta-propiolactone and the most effective adjuvant formulation (10% Montanide Gel 01) were determined.The resulting formulation induced detectable antibodies by day 14 postvaccination in foals, with immunity lasting at least 12 months.Stability was confirmed under recommended storage conditions.This work represents a significant step toward developing a preventive measure against epizootic lymphangitis in horses in Central Asia.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.002
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 head0.012
GPT teacher head0.265
Teacher spread0.253 · 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 designBench or experimental
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
Published2025
Admission routes1
Has abstractno

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Same venueProceedings of the World Congress on New TechnologiesSame topicGeochemistry and Geologic MappingFrench-language works237,207