Nazir Ahmad Tookhy

Generative artificial intelligence is commonly described as a novel engine of knowledge production, yet its operation depends on pre-existing infrastructures through which texts and records become discoverable, contextualised, and machine-readable. This article asks: how should archival and metadata infrastructures be conceptualised and governed when they contribute to AI-mediated knowledge production but remain institutionally fragile and only partly visible in copyright and AI policy? Using a conceptual, interdisciplinary analysis of scholarship in science and technology studies, archival and memory studies, political economy, and law, it compares the United States, United Kingdom, and European Union and uses the 2023 British Library cyberattack as an illustrative case of infrastructural vulnerability. The article makes three contributions. It conceptualises archival description and metadata as epistemic infrastructure; identifies a governance gap between copyright, database rights, and AI transparency rules; and develops a Digital Memory Charter with five implementable commitments: infrastructural transparency, reciprocal benefit, metadata stewardship, democratic oversight, and pedagogical responsibility. The analysis does not claim that archival metadata has a uniform causal effect on model training or that particular commercial models used British Library holdings where public evidence is unavailable. It instead establishes a defensible basis for governing documented uses of cultural-heritage corpora and for improving transparency where those uses cannot presently be verified.

Rumen flukes cause heavy economic losses in the ruminant industry worldwide, especially in tropical and subtropical countries. This study estimated the prevalence of rumen flukes in buffaloes, identified the species diversity, and determined risk factors associated with rumen fluke prevalence in Perak, Peninsular Malaysia. A cross-sectional study was conducted, and 321 faecal samples were collected from six buffalo farms. A structured questionnaire was developed, and farmers were interviewed to obtain information regarding risk factors associated with rumen fluke infection. The faecal samples were examined using sedimentation and Flukefinder® techniques. Genomic DNA was extracted from the fluke eggs recovered using the Flukefinder® method, and the internal transcribed spacer 2 (ITS2) fragment was amplified and sequenced to facilitate species identification. The results showed that the overall prevalence of rumen fluke across the sampled farms was 40.2% (129/321). Three rumen fluke species were identified, namely, Fischoederius elongatus, F. cobboldi, and Orthocoelium streptocoelium. Several management factors had a significant association (P < 0.05) with rumen fluke prevalence, including production type, cleaning of the stable, drinking water system, flooding around the farm, grazing system, pasture sharing with other livestock, and deworming program. This work constitutes the first attempt to understand the epidemiology of rumen fluke infection in the region and suggests that good farm management, pasture management, choosing appropriate drugs, and proper husbandry practices may improve buffalo health and production in areas where rumen flukes are prevalent.

Lymnaeid snails play a crucial role in the transmission of trematode cercariae as an intermediate host that can infect humans, ruminants like buffalo, and other animals, resulting in serious economic losses. The purpose of the study was to identify the morphological and molecular characteristics of snails and cercariae collected from water bodies near buffalo farms that were integrated with palm oil in Perak, Malaysia. The presence or absence of snails in 35 water bodies was examined via cross-sectional study. From three marsh wetlands, 836 lymnaeid snails were gathered in total. Each snail’s shell was morphologically identified to determine its family and species. The cercarial stage inside each snail’s body was observed using the crushing method and trematode cercariae types were determined. In addition, the target gene Cytochrome c oxidase subunit 1 (Cox1) and the ribosomal internal transcribed spacer 2 (ITS2) region were used to identify the snail species and cercarial types according to the species level. The findings indicated that the collected snails belong to the family lymnaeidae and Radix rubiginosa species. In snails, the cercarial emergence infection rate was 8.7%. Echinostome, xiphidiocercariae, gymnocephalous, brevifurcate-apharyngeate distome cercariae (BADC), and longifurcate-pharyngeal monostome cercariae (LPMC) are the five morphological cercarial types that were observed. The cercariae were identified using morphological and molecular techniques, and they are members of the four families which are Echinostomatidae, Plagiorchiidae, Fasciolidae, and Schistosomatidae. Interestingly, this is the first study on R. rubiginosa and several trematode cercariae in Perak water bodies near buffalo farms that are integrated with palm oil. In conclusion, our research shown that a variety of parasitic trematodes in Perak use R. rubiginosa as an intermediate host.