Deploying recurrent predictors on microcontrollers is constrained by memory and multiply-accumulate budgets. We prepend a tiny multi-head attention readout to an echo state reservoir whose recurrent weights remain random and fixed. On standard chaotic benchmarks and a wind-speed telemetry set, the hybrid model reaches lower normalized error than purely linear readouts while staying within sixty kilobytes of weight storage on a representative ARM Cortex-M4 platform.
Centralized biogas plants near wholesale markets can divert putrescible fractions from open dumping yet digestate quality is variable. We monitored a one-year pilot digester fed with sorted vegetable trimmings and co-digested manure, then field-tested liquid and solid digestate fractions on rainfed cereals. Yields and soil organic carbon gains matched mineral fertilizer controls on light soils when digestate was applied at agronomically calibrated nitrogen rates.
Typological tables of transport jars are high-dimensional and sparse when sites preserve partial cargoes. We represent assemblages as compositional vectors over fabric and form classes, then cluster wrecks with affinity propagation to avoid specifying cluster counts a priori. The recovered groupings align with known production regions in most cases and suggest a plausible corridor for understudied eastern variants that lack secure stamps.
Polarization switching in ultrathin ferroelectric barriers must remain reliable below two nanometres for embedded memory targets. We compare symmetric and asymmetric hafnia-zirconia stacks grown by atomic layer deposition on textured bottom electrodes. Capacitance-voltage loops and tunneling electroresistance ratios favour graded-composition interfaces that suppress pinhole leakage while preserving wake-up endurance beyond ten thousand cycles in capacitor test structures.
Official route inventories often omit paratransit services that carry most daily trips. We trained students and community enumerators to trace shared taxi paths using smartphone GPS traces validated against focus groups. The resulting open geodatabase highlights interchange nodes and peak crowding segments that differ substantially from straight-line network assumptions used in prior accessibility studies for the same urban area.
Missing scan lines and cloud shadows degrade subpixel abundance estimates in airborne hyperspectral cubes. We formulate the mixed pixels as a low-rank tensor plus sparse anomaly term and impose anisotropic total variation along spatial modes only. An alternating minimization solver recovers endmember fractions on benchmark datasets with lower root-mean-square error than matrix factorization baselines at comparable runtime.
Unreliable grid supply may affect prenatal care and household stress pathways linked to fetal growth. Exploiting municipality-level rotation of announced blackout windows, we estimate event-study models on birth registry microdata spanning five years. Infants exposed to high-intensity rationing in the third trimester show modestly lower mean birthweight, with effects concentrated among households without backup generators.
Regional air-quality models often misrepresent radical budgets when emissions inventories are uncertain. We couple a zero-dimensional photochemical box model to Markov chain Monte Carlo sampling constrained by intermittent OH and HO2 observations from a coastal supersite. Posterior emission scaling factors reduce bias in ozone production rates relative to a deterministic baseline while quantifying uncertainty in inferred volatile organic compound reactivity.
Artistic swimming requires athletes to perform technically complex movements under repeated breath‑hold conditions, placing substantial demands on both aerobic and anaerobic systems. This study examined the effects of a five‑week apnea‑specific training protocol on underwater performance in young artistic swimmers. Six female athletes (12.8 ± 1.94 years) completed a structured apnea program integrated into regular training. Underwater distance (MU) combined underwater distance and sculls (MU+S), isolated sculls (S), and execution times were assessed before and after the intervention. Data followed a normal distribution (Shapiro–Wilk, p > 0.05), and paired t‑tests were used to compare PRE and POST values.\nSignificant improvements were observed in MU (p = 0.016), MU+S (p = 0.027), and S (p = 0.002), indicating enhanced underwater displacement and technical efficiency. No significant changes were found in execution times. Perceived exertion decreased from PRE to POST, suggesting improved tolerance to apnea‑related effort.\nThese findings indicate that a short, targeted apnea‑training protocol can promote meaningful functional and technical adaptations in artistic swimmers, supporting its integration into regular training to enhance underwater performance.