Manual coding of open-ended items is slow when polls span several languages. We fine-tune multilingual transformers on a shared codebook and evaluate zero-shot transfer to lower-resource languages with limited labeled examples. Agreement with dual human coders approaches monolingual baselines for thematic categories, shortening turnaround for weekly tracking surveys.

Lignocellulosic residues underperform in small digesters without costly mechanical milling. We evaluate low-dose cellulase and xylanase cocktails applied before mesophilic digestion and track methane yield, viscosity, and inhibitor formation. Optimized pretreatment raises cumulative methane by roughly one fifth while remaining compatible with farmer-operated batch schedules.

Satellite land-surface temperature misses micro-scale shade that pedestrians actually use. Community mappers annotate awnings, tree clusters, and cooling stalls, which we fuse with wearable temperature logs. Resulting exposure surfaces identify walking routes where small canopy investments would cut peak afternoon heat load for outdoor workers.

Topology-aware models can flag feeder stress before protective relays trip entire neighborhoods. We encode switchgear graphs with synchrophasor features and train message-passing networks on historical contingency events. Offline replay of storm-day sequences shows earlier detection of cascading risk than threshold-based SCADA rules, with fewer false alarms during planned switching.

Corridor redesigns promise ridership gains, yet elasticities vary by trip purpose and first-mile access. We estimate mixed logit models from before-after household travel diaries linked to stop-level service attributes. Reliability gains and sheltered transfers explain more mode shift than fare discounts alone, informing prioritization of station amenities over further headway cuts.

Seasonal fertilizer runoff can elevate nitrate without continuous lab sampling capacity. We calibrate screen-printed electrodes with on-site standards and stream readings through a cellular gateway for weekly threshold alerts. Field deployments against laboratory ion chromatography show agreement suitable for early warning, cutting sample transport delays from days to hours.

Centralized pooling of electronic health records raises privacy barriers for multi-site prediction models. We train a federated gradient boosting pipeline that keeps patient-level data at each clinic while sharing only encrypted model updates. Across twelve regional hospitals, the federated score matches centralized AUROC within two points and reduces false-positive alerts that drive unnecessary follow-up calls.