Search Results (1,541)

We propose a novel hybrid architecture that integrates a continuous-time Liquid Neural Network with an optimized Long Short-Term Memory network for seismic vulnerability state assessment of ancient halls. The proposed system processes multi-source structural monitoring data, including acceleration, strain, displacement, temperature, and humidity signals. A central challenge in this domain is the long-term state drift that occurs when continuous-time models are exposed to prolonged seismic events or sequences of aftershocks. To address this issue, we introduce a learnable event-triggered discrete reset mechanism that monitors a prediction error signal and an auxiliary drift accumulation variable. When a trigger condition is met, the Liquid Neural Network hidden state is reinitialized to a learned baseline state, thereby preventing divergence from physically plausible structural dynamics. This reset mechanism is inspired by hybrid small-gain and impulsive control frameworks and provides rigorous stability guarantees. The continuous-time dynamics are modeled as a neural ordinary differential equation with a sinusoidal activation function, solved via a fixed-step Runge–Kutta integrator. The discrete-time pathway employs a two-layer LSTM with Bayesian-optimized hyperparameters. A learned attention mechanism fuses the hidden states from both pathways, and the combined representation is passed through a feedforward network to produce a four-class seismic vulnerability index. The entire system is trained end-to-end with an adaptive loss function that balances reconstruction accuracy, drift penalization, and classification performance. We first pre-train the model on synthetic data generated from a calibrated finite element model of a representative ancient hall in Rucheng, Hunan. Transfer learning then fine-tunes the model on real monitoring data. Our approach replaces conventional fragility-curve-based estimates with a data-driven, adaptive vulnerability assessment that is site-specific and robust to non-stationary excitation. The hybrid switched-system framework therefore offers a principled solution to the state drift problem while maintaining the expressive power of continuous-time neural dynamics. Full article

The development of biomass-waste-derived functional porous materials can support resource-conscious strategies for environmental remediation. In this study, Cu-SSZ-13 porous catalysts were prepared from rice husk ash as a biomass-derived silica source and metakaolin as the aluminosilicate precursor using solvent-lean vapor-assisted crystallization under OSDA-free or reduced-OSDA conditions. The S1–S8 catalyst matrix was prepared at nominal Si/Al ratios of 12 and 25, with crystallization conducted in the absence or presence of Cu, followed by a common post-synthetic Cu ion-exchange procedure. XRD showed predominant CHA formation across the matrix, while ²⁷Al and ²⁹Si MAS NMR confirmed predominantly tetrahedral Al environments and systematic differences in the silicate-framework response. Final Cu contents ranged from 1.50 to 2.61 wt%, with Cu/Al ratios of 0.22–0.27, and samples crystallized in the presence of Cu showed a consistent tendency toward slightly higher final Cu contents than their paired Cu-free-crystallization counterparts. The fresh catalysts exhibited substantial NH₃-SCR activity, with apparent T₅₀ values of 201.3–278.4 °C and maximum NO_x conversions of 89.9–97.0%; S4 showed the earliest light-off. Accelerated hydrothermal aging shifted T₅₀ by 32.4–65.3 °C while retaining 91.1–94.9% of the fresh maximum NO_x-conversion response. Estimated N₂ selectivity remained high throughout most of the principal activity region, whereas relative N₂O formation remained limited and increased mainly at elevated temperature. Overall, the results demonstrate that a rice-husk-ash/metakaolin precursor platform can be converted into functional CHA-type Cu-SSZ-13 porous catalysts for NO_x remediation using OSDA-free or reduced-OSDA, solvent-lean synthesis while retaining substantial catalytic functionality after accelerated hydrothermal exposure. Full article

Background: Sedentary working is a major risk factor for chronic diseases. Workplace health and wellbeing-related interventions that focus on creating opportunities for physical movement may help mitigate prolonged sitting. The aim of this study was to evaluate three different interventions within a university setting. Methods: Three independent feasibility interventions focused on university employees were conducted. Intervention 1 assessed the deliberate use of office-based exercise equipment over 11 weeks (n = 57) alongside pre–post measures of health, quality of life and work limitations and free-text activity log comments. Intervention 2 involved a one-week baseline followed by 8 weeks of a sit–stand workstation intervention (n = 10), with participant-recorded sitting and standing and pre–post health and work-related outcomes. Intervention 3 used a within-participant repeated-measures design in which 61 employees completed seated, standing and walking meetings in a fixed sequence, with mood assessed immediately before and after each condition using the Brunel Mood Scale. Paired parametric or non-parametric analyses were used as appropriate, with repeated-measures comparisons for meeting formats and adjustment for multiple testing. Results: In Intervention 1, participants recorded a mean of ~56 min of exercise equipment use per week across the 11-week intervention. No statistically robust pre–post changes were identified in quality of life, health status, work limitations or estimated productivity loss after adjustment for multiple comparisons. Free-text comments indicated perceived benefits including enhanced energy, opportunities to disrupt screen-based work and increased focus, alongside practical barriers such as excessive office temperature. In Intervention 2, participant-recorded sitting decreased from 1973.6 (SD 265.6) to 821.3 (SD 361.1) minutes/week (p < 0.001; dz = −2.69), while standing increased from 438.5 (SD 286.0) to 923.1 (SD 439.6) minutes/week (p = 0.013; dz = 0.97). RAND-36 Physical Functioning and Energy/Fatigue also showed statistically significant pre–post differences after multiplicity adjustment, while other health, quality of life and work limitation outcomes did not. In Intervention 3, standing and walking meetings produced greater increases in Vigour compared to seated meetings. Vigour was the only BRUMS dimension for which the between-format difference remained statistically significant following correction for multiple comparisons. Conclusions: The three interventions demonstrate preliminary evidence that movement and postural alteration can be included in sedentary university working routines. Full article

The study was conducted to establish the thermoneutral zone (TNZ) of Murrah buffalo calves under precisely regulated environmental conditions. Six healthy calves (8–10 months) were exposed to progressively decreasing (24–15 °C; Temperature-Humidity Index (THI): 72.45–58.98) and increasing (25–40 °C; THI: 73.49–90.32) ambient temperatures with 3 °C intervals in a psychrometric chamber. Each exposure was maintained for 10 consecutive days under cyclic conditions (12 h exposure and 12 h thermoneutral recovery). Physiological responses and body surface temperature (BST) were recorded, and blood samples were collected on day 10 at 1500 h. Segmented regression analysis was performed using the SegReg (Oosterbaan, 2017) software program to identify lower and upper critical temperatures (LCT, UCT) and corresponding THI thresholds. LCTs ranged from 18.06 to 19.14 °C across different responsive parameters, with breakpoints (BPs) at 18.60 °C (SE_BP = 0.634) for pulse rate (PR), 18.15 °C (SE_BP = 0.945) for haemoglobin, 18.15 °C (SE_BP = 0.189) for lymphocytes, 18.24 °C (SE_BP = 0.404) for granulocytes, 19.14 °C (SE_BP = 1.09) for reactive oxygen species (ROS), 18.15 °C (SE_BP = 23.9) for superoxide dismutase (SOD), and 18.06 °C (SE_BP = 4.2) for cortisol; no distinct LCT was detected for respiratory rate (RR), rectal temperature (RT), total leukocyte count (TLC), or heat shock protein (HSP) 70/HSP90 expression. BST at different locations exhibited an LCT between ~20 and 21 °C. UCTs for PR, RR and RT were observed at 28.9 °C (SE_BP = 0.892), 28.6 °C (SE_BP = 0.843) and 29.2 °C (SE_BP = 1.16), respectively. Neither BST nor erythrocytic parameters exhibited a distinct UCT; however, BST increased progressively with increasing exposure temperature. TLC, lymphocyte and granulocyte % showed UCTs of 28.15 °C (SE_BP = 0.753), 28.15 °C (SE_BP = 0.497) and 32.65 °C (SE_BP = 14.20), respectively. The UCT for cortisol was observed at 28.15 °C (SE_BP = 5.52), whereas ROS and SOD showed UCTs of 28.75 °C (SE_BP = 4.67) and 34.15 °C (SE_BP = 6.55), respectively. HSP70 and HSP90 exhibited breakpoints at 35.35 °C (SE_BP = 1.32) and 34.30 °C (SE_BP = 2.11), respectively. Integration of key physiological and systemic responses (excluding BST) indicated a TNZ ranging from 19.14 °C to 28.15 °C. These findings provide a multi-level characterization of thermophysiological responses in buffalo calves and support the use of integrated biological indicators for defining thermoneutral conditions under controlled environments. The estimated TNZ of 19.14–28.15 °C provides a practical reference for managing Murrah buffalo calves. Producers should monitor housing temperature and consider ventilation, shade and air movement when temperatures approach or exceed ~28 °C while providing protection from cold when temperatures fall below ~19 °C. This may help reduce thermal strain and maintain normal physiological function. Full article

Airborne fungal contamination poses an occupational health risk in environments where engineering-controls are essential for maintaining indoor air quality. However, evidence integrating assessments of engineering-control readiness and airborne fungal contamination in forensic pathology facilities remains limited, particularly in low- and middle-income countries. This study assessed engineering-control readiness, indoor environmental conditions, and airborne fungal contamination in three public forensic pathology facilities in Gauteng Province, South Africa, and explored factors associated with airborne fungal contamination. A cross-sectional occupational hygiene study was conducted in three public forensic pathology facilities. Engineering-control readiness was assessed using structured walkthroughs and summarised using a study-specific Engineering Control Readiness Index (ECRI). Indoor temperature, relative humidity, carbon dioxide (CO₂), and airborne fungal concentrations were measured concurrently. Duplicate fungal air samples were collected at predefined locations over three consecutive sampling days. For the primary regression analysis, duplicate fungal measurements were averaged within each physical sampling location and sampling day, yielding 54 indoor location-day observations from 18 physical indoor sampling locations. Multivariable log-linear regression included facility, functional work area, area-specific ventilation and environmental-control deficiency, temperature, relative humidity and CO₂, with cluster-robust inference accounting for repeated measurements within physical sampling locations. Overall ECRI scores ranged from 50.1% to 53.9%, with ventilation and environmental control representing the weakest domain. Airborne fungal concentrations differed significantly between facilities, with FPF G recording the highest indoor median concentration (740 CFU/m³). Cladosporium spp. and Penicillium spp. predominated. After adjustment for facility, functional work area and environmental conditions and accounting for repeated sampling, engineering-control deficiency was not independently associated with fungal concentration (adjusted change per 10-percentage-point increase: −16.3%; 95% CI: −70.9% to 140.9%; p = 0.727). Substantial engineering-control deficiencies and airborne fungal contamination were identified; however, the independent contribution of engineering-control deficiency could not be estimated with adequate precision in this three-facility study. Larger longitudinal studies incorporating objective ventilation-performance measurements are required to clarify the contribution of specific engineering controls to occupational bioaerosol exposure. Full article

The effective delivery of bio-functional agents into cracked concrete remains a critical challenge for achieving reliable microbially induced calcium carbonate precipitation (MICCP)-based self-healing. This study investigates a hydrogel-assisted delivery approach using sodium alginate (SA) to facilitate the transport and distribution of Lysinibacillus sphaericus within subsurface cracks. An artificial crack (~0.2 mm width) was created in mortar specimens to provide a defined and localized pathway for hydrogel delivery. SA hydrogels at different concentrations (2%, 4%, and 6 wt%) and temperatures (20 °C, 40 °C, and 60 °C) were injected inside the crack in both types of samples with and without channels. The transport behavior was quantified through ImageJ analysis, while biological performance was evaluated using optical microscopy, thermogravimetric analysis (TGA), and X-ray computed tomography (X-CT). The results showed that 2% and 4 wt% SA hydrogels achieved >95% infiltration of the crack volume and with a minor influence of the drilled channel, indicating effective transport through the crack and pore network. Optical microscopy confirmed bacterial distribution throughout the crack depth. TGA showed about 18.23 mg and 8.14 mg higher CaCO₃ precipitation in bacteria-treated specimens than in controls at 7 and 28 days, respectively, demonstrating MICCP activity. X-CT visualization further showed substantial crack filling in the bacteria-treated specimens, with an estimated 86.4% of the crack volume occupied by bio-products and a hydrogel matrix. These results demonstrate that an appropriately selected SA concentration and temperature can facilitate targeted bacterial delivery and MICCP-based crack filling. Full article

Re₃Zr has recently been proposed in the cubic Pm-3n structure. Its alternative atomic arrangements and thermodynamic position within the Re–Zr system have not been systematically resolved. In this work, CALYPSO particle-swarm structure searches combined with density functional theory identify five Re₃Zr polymorphs with Cmcm, Fmmm, Immm, P4/mmm, and Fm-3m symmetries and compare them consistently with the reported Pm-3n phase. Formation enthalpies, a selected-phase partial convex hull, phonon dispersions, elastic properties, sound velocities, elastic Debye temperatures, electronic structures, and bonding characteristics are evaluated. All five CALYPSO structures lie below Pm-3n in fixed-composition energy, with Cmcm being the lowest. The Cmcm phase has a formation enthalpy of −0.257 eV atom⁻¹ and lies approximately 0.042 eV atom⁻¹ above the selected-phase partial hull, identifying it as a low-lying off-hull metastable candidate at 0 K. AIMD simulations at 300 and 1000 K show no obvious structural reconstruction of the Cmcm framework over the simulated time scales. All six structures exhibit no imaginary phonon frequencies and satisfy the corresponding mechanical-stability criteria. Their elastic responses are strongly structure dependent: P4/mmm has the largest Chen–Tian hardness estimates and elastic Debye temperature, whereas Fm-3m shows the weakest elastic anisotropy. All six polymorphs are metallic, with Fermi-level states dominated by Re-5d orbitals and predominantly delocalized bonding. These results provide a thermodynamically constrained 0 K reference for future synthesis, phase identification, and finite-temperature or kinetic investigations of hypothetical Re₃Zr polymorphs. Full article

We propose a two-stage joint estimation method combining a multi-physics-constrained physics-informed neural network (PINN) with an adaptive extended Kalman filter (AEKF) for lithium-ion battery state-of-charge (SOC) estimation. Three constraints—an RC polarization dynamics ODE residual, discharge voltage–SOC monotonicity, and terminal-voltage physical bounds—are embedded into the PINN loss function; the converged network then serves as the nonlinear observation model within the AEKF. On LG 18650HG2 cells across six temperatures (−20 to 40 °C) under a strict cross-condition setup (training on LA92/UDDS; testing on US06 and two mixed profiles), the method maintains a temperature-averaged SOC mean absolute error (MAE) of 2.33% (1.54–4.48%, three random seeds), whereas the MAE for the equivalent circuit model with the AEKF (ECM-AEKF) degrades to 9.46% and 11.66% at −20 °C and −10 °C, and remains 1.5–4.6× worse with the per-temperature re-identified parameters; an end-to-end long short-term memory (LSTM) baseline averages 1.90% but degrades to a per-condition maxima of 22.6% at low temperatures. Multi-seed ablations locate the constraints’ value in providing low-temperature stability and physical consistency, with the RC-ODE constraint contributing most. The study further reveals that goodness of terminal-voltage fit does not imply SOC accuracy; the controlled comparisons trace this to the model structure rather than parameter settings, exposing the risk of voltage-fitting-based evaluation over wide temperature ranges. Full article

Circadian–behavioral misalignment, defined as a mismatch between internal circadian timing and daily sleep activity behavior, is associated with sleep quality, daytime function, cognitive performance, and long-term health risks. However, practical approaches for integrating circadian-phase-related physiological markers with behavioral and environmental sensing under free-living conditions remain limited. This study presents a multimodal wearable and lifelog monitoring workflow that combines a heat-flux-based wearable temperature-estimation sensor, a wrist-worn actigraph, melanopic equivalent daylight illuminance (EDI) measurement, and web-based lifelog entries. Ten healthy young adults were monitored for approximately one week in daily life. The midpoint between the descending and ascending mid-level crossings of the nocturnal temperature rhythm was extracted as a circadian-phase-related temperature rhythm marker. In a practical comparison with gastrointestinal temperature measured using an ingestible capsule, the wearable-derived rhythm marker showed a mean absolute difference of 27.1 ± 16.6 min. The temporal difference between the two markers was defined as the phase angle, and coupling stability was evaluated using phase angle variability and the correlation between the markers. After excluding one participant who traveled overseas, clustering and principal component analyses were used to visualize exploratory participant-level differences in circadian–behavioral coupling. Integrated analysis with melanopic EDI, activity, and lifelog-derived features suggested that light exposure, activity timing, and behavioral timing may provide contextual information for interpreting coupling patterns in this small cohort. These findings support the feasibility of a sensing system application that integrates physiological, behavioral, environmental, and lifelog data for the exploratory assessment of circadian–behavioral coupling under free-living conditions, rather than the development of new sensor hardware. Full article

A magnetite–eggshell nanocomposite (Fe₃O₄@eggshell NC) was synthesized by green coprecipitation and evaluated for Cr(VI) removal from water. Passiflora ligularis peel extract, evaluated using a 2³ factorial design, served as the biogenic medium, while eggshell waste acted as the support. Characterization included X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FTIR), scanning and transmission electron microscopy (SEM and TEM), Brunauer–Emmett–Teller (BET) analysis, zeta potential measurements, thermogravimetric analysis (TGA), vibrating sample magnetometry (VSM), and Mössbauer spectroscopy. The NC preserved Fe₃O₄ and CaCO₃ crystalline phases, contained nanoparticles averaging 18 nm, and exhibited oxygenated surface functionalities, a BET surface area of 134.93 m²/g, amphoteric behavior, and a predominantly superparamagnetic response suitable for magnetic recovery. Under conditions of pH 4, 180 rpm, 60 min, 0.15 g NC, and 50 mg/L Cr(VI), removal reached 75.98%. Kinetic data followed the pseudo-first-order model, whereas equilibrium data were well described by the Sips isotherm, with an estimated capacity of 50.81 mg/g. At the investigated initial concentration of 50 mg/L, adsorption was exothermic and favored at temperatures up to 308 K, and the material retained moderate reusability during the first three alkaline-regeneration cycles. Overall, Fe₃O₄@eggshell NC is a waste-derived, magnetically recoverable adsorbent with favorable Cr(VI) uptake under moderately acidic conditions. Full article

Published quantum-streaming theory establishes quantum memory advantages for specific streaming problems; how a correlation-sensitive proxy model behaves under the structured dependence typical of sensor and telemetry streams, however, remains uncharted. We present a proxy-based diagnostic and hypothesis-generation framework for correlation-sensitive streaming analysis. Operational proxies for the refreshing time $\tau$ and repetition number r, introduced in this paper, are estimated on five synthetic non-IID regimes (IID, Markov switching, seasonal drift, burst repetition, and long-range dependence) and mapped onto a $(\tau ,r)$ sensitivity landscape—the paper’s central artifact. Three memory-bounded classical baselines (online SGD, averaged SGD, and Count-Min) supply empirical reference points; no quantum algorithm is implemented or simulated and all quantum curves are heuristic proxy estimates. Analytic and empirical refreshing-time estimates diverge by up to $125\times$ under long-range dependence (≈8× for Markov)—the two estimators answer different questions about temporal dependence. Using empirical $\tau$, the proxy model predicts a hypothesised proxy-favourable region under mild-to-moderate Markov correlation that closes as correlation strengthens: the mean curves cross at ${\rho }^{*}\approx 0.82$ under the operating constants ($C=2$, $\delta =0.05$; the crossing moves between ${\rho }^{*}\approx 0.38$ and beyond the sweep range across a C–$\delta$ grid, so only the ordinal reading is robust), and by $\rho =0.88$ the classical baseline exceeds the proxy estimate (Hodges–Lehmann difference $0.046$). Applied unchanged to two real NAB telemetry streams, the same estimators place NYC Taxi inside and Machine Temperature outside the hypothesised favourable region—an ordering that persists across all tested encoder resolutions—with imbalance-aware metrics guarding against majority-class artefacts. Ablations over the $\tau$ estimator, forward window, stream length, target function, and proxy constants preserve the regime ordering within each estimator family. Full article

Uhthoff’s phenomenon (UP) is a transient, fully reversible exacerbation of pre-existing neurological deficits in multiple sclerosis (MS) patients, triggered by minor elevations in core body temperature. In clinical practice, UP is a frequent source of distress, often misidentified as an acute inflammatory disease relapse. This narrative review provides a critical analysis of UP, addressing methodological heterogeneity in its epidemiological estimates, its clinical presentation, and its differential diagnosis from true relapses. Mechanistically, we synthesize traditional concepts of temperature-dependent conduction block with modern insights into neuroenergetic failure, mitochondrial dysfunction, inflammatory mediators, and autonomic dysregulation. Furthermore, this work delineates current management strategies, establishing a clear distinction between robust evidence-based interventions and expert-informed practical guidance for patient education, physical rehabilitation planning, targeted active/passive cooling, and pharmacological approaches. Characterized as a pseudo-relapse, UP occurs independently of novel focal neuroinflammation. In conclusion, an isolated episode of Uhthoff’s phenomenon (UP) represents a transient, functional conduction block and does not inflict acute, permanent structural damage to the axon. However, emerging frameworks suggest that frequent, repeated episodes subject the already demyelinated axon to recurrent metabolic strain. Over time, these successive neuroenergetic crises do not directly destroy the fiber, but they may gradually exhaust the cell’s metabolic reserve. This cumulative stress potentially increases long-term secondary axonal vulnerability, making the axon more susceptible to the progressive neurodegenerative processes inherent to multiple sclerosis. Full article

The coupled effect of in situ temperature and stress complicates the permeability evolution of coal reservoirs, which restricts the exploration and evaluation of deep coalbed methane (CBM). Two high-rank coal samples were collected from the Sihe (SH) and Zhaozhuang (ZZ) mining areas, and multi-gradient coupled temperature–stress seepage experiments (20–50 °C, 8–32 MPa) as well as supporting triaxial mechanical tests were carried out to investigate the temperature and stress sensitivity of coal permeability. Combined with coal mechanical deformation characteristics, the transition depth mechanism of permeability evolution with burial depth was revealed. Experimental results indicate that coal permeability follows a negative exponential decay trend with increasing effective stress, and the evolution process can be divided into three stages: rapid attenuation, slow decline and stabilization. Temperature rise can weaken the stress attenuation degree of coal permeability under continuous effective stress loading and effectively reduce the stress sensitivity of coal reservoirs. Under constant confining pressure, permeability decreases linearly with rising temperature; the temperature-induced damage effect is prominent at low effective stress, while the regulatory effect of temperature is greatly weakened when fractures are compacted under high effective stress. An exponential function between permeability and burial depth was established based on coupled temperature–stress experimental data, and the critical burial depth of permeability transition depth in the study area was determined to be 550–600 m. The abrupt change interval of elastic modulus against confining pressure is consistent with the burial depth of permeability transition depth, which acts as the key mechanical factor dominating the nonlinear transition of reservoir permeability. This study provides experimental and theoretical support for the development of deep CBM in the study area. The results represent non-adsorbing gas (nitrogen) permeability under the investigated temperature–stress window (20–50 °C, 8–32 MPa) and should not be extrapolated to methane-bearing CBM reservoirs without adsorption–swelling corrections. The transition depth of approximately 550–600 m is a laboratory-derived estimate rather than a field-verified reservoir threshold. Full article

Parsimonious emulators (PEs) trained on complex climate models (CCMs) are useful when global variables like global mean surface temperature and climate-system energy content are sought. CCM runs over millennia extracted from the LongRunMip repository are used to construct and test PEs for global mean temperature and net incoming radiation flux. For the temperature, the PE is a linear impulse response in the form of a superposition of k decaying exponentials, comprising k weight coefficients and k decay times to be estimated by least-square fitting to the temperature from CCM runs with abrupt step-function forcing. The model fit for $k\ge 3$ is good on all time scales, and the fitted model seems to perform even better for smoother forcing scenarios, suggesting that it reflects essential features of the CCM to which it is fitted. Data for radiation flux are combined with temperature data to produce low-order polynomial fits to Gregory plots and analytic expressions for the evolution of the effective feedback parameter, the radiation fluxes, the evolution of climate-system energy content, and an effective system heat capacity. The analysis reveals four stages of the ocean heat uptake, characterised by increasing effective heat capacity. From these Pes, one can compare the global performance of CCMs under different forcing scenarios, highlighting distinguishing features, such as evolution of albedo feedback and cloud radiative effect. Producing Gregory plots for all-sky and clear-sky outgoing long-wave and short-wave radiation, varying cloud albedo is identified as the main contributor to model spread of equilibrium climate sensitivity. Full article

Accurate high-temperature field characterization is important for explosion diagnostics, laser–matter interaction, combustion monitoring, and related thermal processes. This work presents an integrated thermometry framework combining fiber-optic spectrometry with monochrome imaging. Its central contribution is not a new multispectral principle or optimization algorithm, but an integration-time-dependent radiometric calibration framework coupled with representative spectral-emissivity transfer under clearly stated applicability conditions. Its central element is a three-parameter radiometric calibration model in which camera integration time is explicitly included, so that radiance conversion can be performed across the experimentally calibrated integration-time range without repeating a separate fixed-exposure calibration for each setting. Multiwavelength spectral radiance is used to jointly retrieve temperature and a continuous, second-order polynomial emissivity function with a genetic algorithm serving as the global optimizer. The emissivity function obtained from a representative spectral sampling region is then transferred to the imaging model for pixelwise temperature inversion; this step assumes that the material and surface state are sufficiently uniform over the region to which the function is applied. The method is examined using steady-state tungsten–halogen-lamp measurements with nominal color temperatures of 2200–2800 K and a transient laser-heated 316L stainless-steel case. Agreement with a Wien-based estimate is used as an internal spectral-consistency check rather than as an independent traceable accuracy validation. In the transient case, the retrieved spectral-field-of-view temperature increased from 2311.9 to 2398.5 K over 50–60 s, and the reconstructed images reproduced the corresponding increase in the central high-temperature region. The present results demonstrate the feasibility of coupling integration-time-dependent calibration with measured spectral-emissivity transfer for two-dimensional temperature reconstruction, while the achievable absolute accuracy remains subject to detector linearity, emissivity-model validity, spatial emissivity uniformity, radiometric calibration, and independent reference validation. Full article