Automated solvothermal reactors generate thousands of powder patterns weekly, but metastable phases are often mislabeled when cooling profiles differ slightly. We coupled in situ turbidity curves with ex situ XRD clustering and labeled ambiguous branches via semi-supervised metrics. On a perovskite-halide subset, the pipeline recovered three intermediate solvates previously discarded as failed runs. Uncertainty flags routed roughly eight percent of batches to human crystallographers, keeping manual load manageable. The workflow is agnostic to reactor vendor APIs when logs export timestamped temperature ramps.

Tsunami and cyclone recovery programs emphasize housing before psychosocial care. We followed 214 fishers and processors across four survey waves using validated anxiety and functioning scales. Latent growth models showed heterogeneous slopes: younger crews with boat damage recovered faster when credit lines restarted, while older processors in inland camps plateaued unless community weaving cooperatives provided routine contact. Peer-led stress workshops had small but durable effects when paired with predictable landing-site schedules. Results argue for bundling livelihood restarts with structured group support rather than one-off counseling drops.

Municipal buyers must shortlist hundreds of bids under tight deadlines. We trained a gradient-boosted ranker on historical awards and mandatory checklist features, then layered SHAP-based narratives for each candidate package. Procurement officers in a blinded trial ranked the tool as more auditable than opaque scores alone, with no measurable increase in false exclusions when legal appeals were tracked for nine months. Limitations include sparse labels in low-competition categories and the need for periodic retraining when regulations change.

Belowground carbon flux depends on how quickly fine roots are produced and shed, yet texture effects remain inconsistent across biomes. Minirhizotron tubes in paired sandy and clay-loam plots under Nothofagus-dominated stands showed faster median lifespans in coarser soils despite similar soil temperature. Structural equation models linked the pattern to moisture variability and mycorrhizal colonization rates. Seasonal pulses after snowmelt drove disproportionate turnover in shallow horizons. Implications include revisiting default root turnover coefficients in regional carbon budgets.

Urban households facing rolling outages combine generators, shared inverters, and shifted cooking schedules in ways surveys rarely capture. Semi-structured interviews with 186 households were paired with two-week appliance diaries. Cluster analysis identified three stable coping bundles differentiated by capital access and tenancy status. Renters leaned on neighborhood charging hubs and delayed refrigeration, while owners invested in hybrid solar-battery kits when credit became available. Findings suggest tariff design should reward predictable outage windows rather than only kWh caps.

Museums need visitor flow analytics without drilling cables through protected masonry. We fused BLE beacons, pedestrian dead reckoning from smartphones, and occasional Wi-Fi fingerprints in a particle filter tuned for sub-meter accuracy at hallway junctions. A twelve-week pilot in a colonial-era gallery reduced false room transitions by forty-one percent versus beacon-only rules. Battery budgets stayed within two percent daily drain by duty-cycling scans. Ethics review addressed de-identification of dwell times and opt-in signage for multilingual audiences.

Monitoring programs often yield irregular counts across taxa and sites. We specify a hierarchical state-space model that shares strength across rare species while preserving site-specific random effects for detection probability. Posterior predictive checks on European butterfly transect subsets showed improved interval coverage versus independent Poisson regressions when counts drop below five per visit. The approach supports early warning without over-smoothing genuine collapses. Software implementations emphasize transparent priors for managers who must communicate uncertainty to policy boards.

Ride comfort improvement for heavy truck drivers becomes vital, as they drive long distances for long periods. This study develops a heavy truck passive suspension model with thirteen degrees of freedom (13 DOF), to be semi-active suspension system regulated by the fuzzy logic, and a Magnetorheological Damper (MR Damper) installed under the driver’s seat. The heavy truck mathematical model has been virtualized by MATLAB / SIMULINK software, then theoretically solved in the time domain and represented as a function of the driver’s seat working distance and seat working acceleration. Two mathematical models have been implemented for two different excitation inputs. The semi-active model compared to passive model, and showed a major improvement for the ride comfort.