Search Results (6,385)

Growing concerns regarding resource efficiency, economic uncertainty, and energy-market volatility have renewed interest in the relationship between material-use patterns and macroeconomic stability. Recent global disruptions affecting production systems and economic activity have intensified policy attention toward sustainable resource management and resilience-oriented growth strategies. Using an unbalanced panel of 30 OECD economies over the period 1995–2024, this study examines the relationship between resource productivity and economic resilience while accounting for material-use intensity and structural conditions. The empirical framework relies on second-generation panel econometric techniques that account for cross-sectional dependence and heterogeneous country dynamics. The findings indicate that resource productivity is positively associated with economic resilience, with a 1% increase in resource productivity corresponding to an approximately 0.18% increase in resilience. By contrast, domestic material consumption and material footprint display negative associations with resilience, suggesting that resource-intensive production and consumption patterns may be linked to lower adaptive capacity and macroeconomic stability. The short-run estimates additionally indicate the persistence of adjustment dynamics following economic disturbances. These findings highlight the relevance of resource-use efficiency for macroeconomic resilience and sustainable resource-management strategies in OECD economies. Full article

Background: Vesicoureteral reflux (VUR) is a common pediatric urologic disorder associated with recurrent febrile urinary tract infections, renal scarring, hypertension, and potential long-term renal morbidity. Postoperative outcomes after ureteral reimplantation may be influenced by reflux grade, reflux etiology, bladder function, renal status, operative technique, surgeon experience, and follow-up intensity. However, real-world evidence from low- and middle-income healthcare settings remains limited, particularly for surgically treated children with high-grade VUR. Objective: To describe postoperative outcomes after ureteral reimplantation in children with Grade III–V VUR and to explore the association of VUR grade and surgical approach with reflux resolution, recurrence, and reintervention in a surgically selected pediatric cohort. Methods: We conducted a retrospective cohort study at a tertiary pediatric referral center in Ecuador. The study included 90 children aged 0 to 15 years with Grade III–V VUR confirmed by voiding cystourethrography who underwent open or laparoscopic ureteral reimplantation between January 2019 and January 2024. Demographic, clinical, imaging, and surgical variables were extracted from medical records. Postoperative outcomes included reflux resolution, recurrence, and reintervention. Logistic regression models were used as exploratory analyses only. Because the cohort included only operated patients, treatment allocation was nonrandomized, event numbers were limited, and several relevant prognostic variables were incompletely documented, adjusted estimates were interpreted cautiously and were not used to infer causality. Results: Overall reflux resolution was achieved in 68 of 90 patients (75.6%), recurrence occurred in 12 patients (13.3%), and reintervention was required in 8 patients (8.9%). Resolution rates were similar after open and laparoscopic surgery (44/59, 74.6% vs. 24/31, 77.4%; p = 0.766). Recurrence was numerically lower after laparoscopic than open reimplantation, but the difference was not statistically significant (2/31, 6.5% vs. 10/59, 16.9%; p = 0.164). Reintervention rates were also similar between groups (3/31, 9.7% vs. 5/59, 8.5%; p = 0.849). In exploratory multivariable analysis, Grade V VUR was associated with lower odds of reflux resolution (OR, 0.06; 95% CI, 0.01–0.40; p = 0.003) and higher odds of recurrence (OR, 16.69; 95% CI, 1.88–148.32; p = 0.012) compared with Grade III VUR. Surgical approach was not independently associated with resolution, recurrence, or reintervention. The small Grade V subgroup, the limited number of recurrence and reintervention events, and the wide confidence intervals indicate substantial statistical imprecision. Conclusions: In this surgically treated pediatric cohort from a tertiary referral center in Ecuador, ureteral reimplantation was associated with reflux resolution in approximately three-quarters of patients. Higher reflux grade, particularly Grade V disease, was associated with less favorable postoperative outcomes in exploratory analyses, but these findings should not be interpreted as causal or definitive because of the small subgroup size, limited event numbers, selection bias, and incomplete documentation of reflux etiology, bladder dysfunction, renal scarring, renal function, surgeon experience, and follow-up duration. Open and laparoscopic approaches showed comparable resolution and reintervention rates, while the lower recurrence observed after laparoscopy did not reach statistical significance. Future prospective studies should standardize outcome definitions, distinguish imaging-confirmed from clinically documented resolution, report follow-up duration, and account for reflux etiology, bladder function, renal status, surgical experience, and healthcare access. Full article

The intake of live microorganisms (LMOs) may contribute to modulating gut microbial ecology with an impact on health. In this study, we examined the intake of LMOs in adults and its association with gut microbiota composition, intestinal short-chain fatty acids (SCFAs), and health-related biochemical parameters. A total of 151 adults were analyzed across three age groups (18–50, 51–65, and 66–95 years). Dietary intake was assessed using a food frequency questionnaire (FFQ), and LMOs consumption was estimated with a previously developed database. The levels of some relevant intestinal microbial groups were measured using Quantitative Polymerase Chain Reaction (qPCR), SCFAs were determined using gas chromatography, and biochemical markers were assessed through standardized laboratory methods. LMOs intake was significantly higher in the two older age groups compared with younger adults, with yogurt identified as the primary dietary source of LMOs across all ages. In the middle-aged group, bacterial LMOs intake independently predicted higher abundances of Akkermansia and Bacteroides-related taxa, while fungal LMOs were positively associated with butyric acid levels. In the older age group, bacterial LMOs intake was directly associated with branched-chain fatty acids (BCFAs) while fungal LMOs intake was directly associated with circulating cholesterol and inversely with malondialdehyde (MDA). Overall, the findings suggest that LMOs consumption, mainly bacteria intake from fermented dairy products, increases with age and is linked to age-specific changes in gut microbiota, microbial metabolites, and biochemical health parameters. Full article

The efficient market hypothesis, which holds that prices completely reflect available information, is commonly used in financial market analysis. However, emerging empirical evidence shows that market efficiency develops with time, as posited by the adaptive market hypothesis (AMH), with predictability varying across shifting economic and behavioural regimes. Despite the increasing use of deep learning in financial forecasting, there has been little systematic investigation into whether neural network topologies can successfully identify time-varying efficiency trends across diverse markets. Furthermore, the relevance of transfer learning in studying adaptive behaviour between foreign exchange markets and extremely volatile cryptocurrency markets has received little attention. Using these data, we investigate the AMH by comparing the forecasting performance of various deep learning architectures and determining whether knowledge transfer from a relatively stable fiat currency market, Botswana Pula/US Dollar (BWP/USD), improves the predictive accuracy in a highly volatile cryptocurrency market, Bitcoin/US Dollar (BTC/USD). We use daily data from 1 January 2015 to 11 January 2026 to develop deep neural networks (DNNs) and alpha-recurrent neural networks, and, for generalisation, we benchmark using a recurrent temporal neural network (RTNN), a domain-adversarial neural network (DANN), and KLIEP-based importance-weighted regression. A transfer learning technique is used, in which models are initially trained on BWP/USD and then re-estimated on BTC/USD without freezing any network layers, ensuring complete flexibility and enabling parameters to respond to changing market dynamics. Out-of-sample accuracy measures and rolling long-memory diagnostics are used to evaluate forecast performance in terms of time-varying efficiency. The findings reveal that the RTNN regularly outperforms other forecasting models across marketplaces. Predictive accuracy fluctuates with time, and rolling long-memory measurements show persistent departures from random walk behaviour, which supports the AMH. Transfer learning improves predictive stability in the cryptocurrency market by identifying the existence of transferable informational structures between fiat and digital asset markets. Overall, our results support the idea that market efficiency is dynamic rather than static, and they show that adaptive deep learning systems are an excellent way to test the AMH. The paper suggests that cross-market transfer mechanisms and adaptive modelling methodologies be investigated further in growing foreign exchange and cryptocurrency markets. Full article

Background: Spatial analysis methods, including model-based geostatistics (MBG), small-area estimation (SAE), and cluster detection, are increasingly used to map subnational immunisation coverage and identify geographic inequalities in low- and middle-income countries. However, the extent to which these methods capture the multidimensional determinants of immunisation uptake, and whether their outputs inform programme decisions in practice, remains unclear. Methods: We conducted a critical scoping review following the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews guidelines, systematically searching PubMed and Google Scholar for studies applying spatial statistical methods to childhood immunisation coverage or equity. Findings were synthesised using a combination of descriptive summary and thematic and interpretive synthesis. Results: We included 50 studies from the 421 papers identified. Spatial methods have successfully revealed subnational coverage inequalities that national averages obscure, and studies developed in collaboration with national programme teams, integrating routine health system data alongside household surveys, produced the most operationally relevant outputs. However, most studies relied exclusively on survey data with a limited incorporation of supply-side determinants, and few discussed how uncertainty in estimates should constrain downstream use. Although a growing number of studies articulated clear implementation pathways, confirmed programmatic uptake of spatial outputs remained largely undocumented. The emergence of machine learning approaches (8 of 50 studies) offers predictive gains but introduces additional challenges around transparency and quality assurance for governance use. Conclusions: Spatial methods are becoming more frequently used for immunisation but are more likely to contribute to immunisation equity goals when co-produced with programme teams, matched to decision-relevant geographies, and accompanied by transparent documentation of model assumptions and limitations. Future research should prioritise quality frameworks for algorithm-assisted health estimates and systematic evaluation of whether spatial outputs improve decision-making relative to existing data sources. Full article

Backgrounds/Objectives: Allele frequencies of genetic variants associated with complex diseases can contribute to varying degrees to predisposition depending on the population’s genetic profile. The aim of this study was to analyze the genetic diversity of 15 relevant SNVs that could modulate bone and cartilage metabolism in underrepresented structured populations. Methods: In a sample of 130 Mestizos and 304 natives from 8 native Mexican populations, SNVs related to multifactorial diseases were genotyped using a SNaPShot Multiplex kit and analyzed via capillary electrophoresis using an ABI PrismTM 3130 Genetic Analyzer (Applied Biosystems, Waltham, MA, USA.), and genetic profiles for 15 SNVs were obtained using GeneMapper software v. 3.2. Allele frequencies were calculated by locus and population using Power Stats and Arlequin v.3.1 software, for which the EM algorithm was used to compare reference populations obtained from the dbSNV database of the International HapMap project. Population structure, paired comparisons, and genetic differentiation between native, admixed, and reference populations (p value) were estimated through Fst tests using the STRUCTURE v.2.3.2 and Arlequin v.3.1 software. Results: Haplotype frequency combinations grouped as profiles showed higher predominance in the allelic combination A/A/G for rs9340799 (ESR1), rs700518 (CYP19A1), and rs1800795 (IL6) genes, respectively. Conclusions: Allelic profiles could be useful as medical tools for preventing and managing individuals or populations. Mexican populations showed high genetic variability among allelic risk profiles for estrogen control and response, as well as high frequencies of variant combinations associated with an increased inflammatory response, potentially resulting in high osteoclastogenesis. This analysis advances our understanding of the complexity of bone and cartilage metabolism in highly stratified populations. Full article

Background: The vestibular system has traditionally been interpreted within a reflex-based framework, mainly centered on gaze stabilization, vestibulo-ocular reflex pathways, and peripheral vestibular deficits. This model remains essential, but it is insufficient to explain the full spectrum of postural, perceptual, visual-motion, and self-motion complaints observed in contemporary clinical otoneurology. Objective: This conceptual narrative review examines selected representative works by Kathleen E. Cullen as landmarks in a broader transition from reflex physiology to predictive, multimodal, context-dependent, body-centered self-motion control. Methods: This is not a systematic or bibliometric review. Papers were selected because they mark distinct conceptual steps in Cullen’s work: neural encoding of self-motion, peripheral and central coding strategies, multimodal integration, active versus passive self-motion, reafference suppression, body-centered encoding, proprioceptive prediction, vestibular cerebellar internal models, sensory reweighting, and clinical translation. Synthesis: Angelaki and Cullen’s 2008 synthesis and Cullen’s subsequent work demonstrate that vestibular processing is inherently multimodal from the earliest central stages and that neural representations of self-motion depend on behavioral context. Vestibular nuclei, visual-vestibular networks, and vestibular cerebellar circuits integrate labyrinthine signals with optic flow, proprioceptive, oculomotor, motor, cerebellar, cortical, and contextual information. This architecture enables the brain to distinguish expected from unexpected motion, suppress predictable vestibular reafference during voluntary action, compute internal estimates of body motion, adapt to altered sensory reliability, and reweight sensory inputs according to task demands. Conclusions: The clinical relevance of this trajectory is substantial. Patients may show preserved high-acceleration vestibulo-ocular reflex responses while experiencing persistent instability, visually induced dizziness, defective self-motion perception, or abnormal sustained vestibular processing. Such dissociations are not paradoxical when the vestibular system is understood as a predictive, distributed, body-centered control system. Cullen’s long lesson offers a neurophysiological foundation for a modern vestibular grammar in which clinical findings are interpreted across the reflexive, perceptual, postural, visual-vestibular, sustained, and predictive domains. Full article

Background: BMI is widely used for obesity classification, yet it does not adequately reflect adiposity distribution and related metabolic risk. Normal-weight obesity (NWO), defined as excess adiposity despite normal BMI, has emerged as a clinically relevant phenotype associated with increased cardiometabolic risk. However, its prevalence and implications in young populations remain insufficiently characterized. Objective: To evaluate the prevalence of normal-weight obesity and its association with cardiometabolic risk markers in a cohort of young adults undergoing occupational health assessments. Methods: A cross-sectional study was conducted in 12,874 adults aged 22–30 years undergoing routine occupational health assessments. NWO was defined using a strict criterion (normal BMI with a waist-to-height ratio ≥ 0.5) and an expanded definition including additional adiposity markers derived from body fat percentage and visceral fat estimates. Anthropometric, adiposity-related, biochemical, and lifestyle data were collected using standardized protocols. Multivariable logistic regression models adjusted for age and sex were used to assess associations between NWO and cardiometabolic risk markers. Results: Among individuals with normal BMI (n = 9290), the prevalence of NWO was 1.79% (n = 166) using the strict definition and 2.30% (n = 214) with the expanded definition. Compared with metabolically healthy normal-weight individuals, those with NWO exhibited higher triglycerides, fasting glucose, and atherogenic lipid indices, along with lower HDL cholesterol (all p < 0.05). In multivariable analyses, NWO was independently associated with elevated triglycerides (OR 4.99; 95% CI 2.90–8.58), an unfavorable triglyceride-to-HDL ratio (OR 7.44; 95% CI 5.19–10.65), and impaired fasting glucose (OR 3.87; 95% CI 2.19–6.82). Associations were consistent across sensitivity and sex-stratified analyses. Conclusions: Normal-weight obesity is present in a measurable proportion of young adults and is associated with an unfavorable cardiometabolic profile despite normal BMI. The triglyceride-to-HDL ratio was consistently associated with normal-weight obesity and showed marked differences across adiposity-defined phenotypes. These findings highlight the limitations of BMI-based classification alone and suggest that additional anthropometric and metabolic markers may help identify individuals with less favorable cardiometabolic characteristics. Full article

Assessment of upper-limb kinematics is essential in clinical practice for diagnosis, rehabilitation monitoring, and treatment personalization. Markerless Motion Capture (MMC) systems, such as the Microsoft Azure Kinect (AK), offer a low-cost and time-efficient alternative to marker-based systems. However, while AK accuracy has been extensively studied for lower-limb movements, its performance for upper-limb analysis—especially under clinically relevant, suboptimal conditions—remains underexplored. This study aims to validate AK for upper-limb motion tracking against a gold-standard optoelectronic system under optimal and suboptimal conditions. Sixteen healthy adults performed ten upper body motor tasks in three scenarios: optimal setup, seated posture with table occlusion, and increased camera distance. Joint angles were compared using normalized Root Mean Squared Error (nRMSE) and Pearson’s correlation coefficient. Performance Indicators (PIs) including Range of Motion (ROM), smoothness, and Time to Peak Velocity (TTPV) were also evaluated. AK accurately captured movements performed within the camera plane, with median nRMSE below 20% in optimal conditions and no significant degradation in suboptimal setups. In contrast, movements occurring on planes perpendicular to the camera were poorly captured. ROM estimation was acceptable and highly reproducible, while TTPV showed moderate-to-poor reliability and smoothness deviated substantially from the reference system. These findings suggest that careful attention to Kinect positioning is essential to ensure effective acquisitions, even in suboptimal scenarios. Future research should evaluate AK validity in clinical populations and explore the effects of system interference in multi-device setups. Full article

Canopy base height (CBH) is a key descriptor of forest vertical structure and an essential input for fire behavior modeling and ecosystem assessments, yet it remains difficult to retrieve reliably from satellite observations. Spaceborne waveform LiDAR from the Global Ecosystem Dynamics Investigation (GEDI) mission provides detailed information on vertical vegetation structure through relative height (RH) metrics, but existing CBH studies have largely relied on empirically selected percentiles or indirect calibration approaches. Here, we present a physically informed framework for CBH estimation that interprets the full GEDI RH profile as a continuous representation of vertical energy distribution and identifies CBH as a structural transition within this profile. Three RH-based approaches—the first-derivative, clustering-threshold, and crown-length methods—were evaluated against independent UAV LiDAR observations. Among them, the clustering-threshold approach achieved the best agreement with UAV-derived CBH (R² = 0.71, RMSE = 1.27 m) and was selected for regional-scale mapping. Sparse GEDI-derived CBH samples were further integrated with Sentinel-2 optical data using a gradient boosting regression model to generate wall-to-wall CBH maps for the Jiagedaqi District, northeastern China, achieving an RMSE of 1.01 m against independent validation data. The results demonstrate that CBH can be retrieved directly from GEDI RH metrics without requiring region-specific airborne LiDAR calibration of the GEDI-based CBH retrieval itself, while UAV LiDAR is used only for independent validation. By advancing the interpretation of spaceborne waveform LiDAR for structural boundary detection, this study expands the utility of GEDI data for large-scale mapping of fire-relevant forest structural attributes. Full article

Nuts are an important dietary source of phenolic compounds, which are associated with potential health benefits. In the present study, the bioaccessibility of phenolic compounds from almonds, peanuts, pistachios and their corresponding butters was investigated after in vitro gastro-intestinal digestion. High-resolution mass spectrometry analysis provided a comprehensive picture of the phenolic profiles across samples, with a total of 55–95 compounds identified per matrix. Pistachios showed the highest amount of phenolic compounds (60.603 ± 1.170 mg/100 g), followed by peanuts and almonds. Processing into butter affected phenolic concentration in a matrix-specific manner. Almond and peanut butters showed higher phenolic content compared to whole nuts, whereas pistachio butter exhibited lower levels than the whole nut. After digestion, differences in bioaccessibility were observed. Peanuts showed the highest phenolic bioaccessibility (84.31%), while almonds and pistachios exhibited lower values (<15%). Overall, phenolic bioaccessibility was mainly influenced by nut type and phenolic compound structure, rather than by their initial concentration or processing. These findings are based on an in vitro model representing an estimate of bioaccessibility rather than in vivo absorption. However, nut type and processing appear to influence the release of phenolic compounds, which is relevant for the nutritional evaluation of nuts and nut-derived products. Full article

Acute aortic syndrome (AAS) comprises acute aortic dissection, intramural haematoma, penetrating atherosclerotic ulcer, and limited intimal tear, conditions that require rapid recognition because mortality and resource use are strongly influenced by time to diagnosis, anatomical extent, malperfusion, and the need for emergency surgical or endovascular intervention. This revised narrative review synthesizes contemporary evidence on clinical, genetic, environmental, and health-system determinants of prolonged hospitalisation, intensive care unit (ICU) utilisation, bed occupancy, and costs in patients with AAS. Beyond summarising established risk factors, the review adds a resource-oriented framework that links hypertension, advanced age, female sex, smoking-related comorbidity, hereditary aortopathies, haemodynamic instability, malperfusion, delayed diagnosis, operative complexity, and postoperative complications to measurable downstream outcomes such as ICU length of stay, total hospital length of stay, reoperation, readmission, and longitudinal imaging surveillance. We searched PubMed/MEDLINE, Scopus, Web of Science, and Google Scholar for relevant studies, registries, guideline documents, and cost analyses published between January 2000 and May 2026, with particular emphasis on studies from the last five years. The review was not designed as a meta-analysis; therefore, effect estimates are interpreted according to study design and generalisability. AAS imposes a disproportionate burden on hospital systems because high-risk patients often require advanced imaging, prolonged haemodynamic monitoring, complex open or endovascular repair, ICU care, and lifelong follow-up. Earlier diagnosis, structured risk stratification, targeted genetic evaluation, aggressive control of modifiable risk factors, and system-level pathways such as dedicated aortic networks may shorten hospital stay and reduce avoidable costs. Full article

Stroke remains a major cause of disability worldwide, and population-level indicators that integrate multidimensional vulnerability with physiological reserve may provide useful perspectives for characterizing cerebrovascular health in aging populations. This cross-sectional study examined the association between the Frailty-to-estimated Cardiorespiratory Fitness Ratio (FCR) and self-reported prevalent stroke among middle-aged and older adults using NHANES 2011–2014 data. FCR was calculated as a 23-item modified Frailty Index divided by estimated cardiorespiratory fitness, providing an interpretable load-to-reserve measure that linked accumulated health deficits with estimated cardiorespiratory reserve. The final analytical sample included 3511 participants aged 45 years or older. Survey-weighted logistic regression models, sensitivity analyses, exploratory subgroup analyses, and spline models were used to evaluate the association. The weighted prevalence of self-reported prevalent stroke increased across FCR quartiles, from 2.2% in Q1 to 12.9% in Q4. In the conventional clinical adjustment model, participants in the highest FCR quartile had greater odds of self-reported prevalent stroke than those in the lowest quartile (OR = 6.13, 95% CI: 2.97–12.66; $p<0.001$), with similar findings in the overlap-aware model (OR = 6.31, 95% CI: 3.07–12.97; $p<0.001$). Log-transformed FCR was also consistently associated with greater odds of self-reported prevalent stroke across adjustment models, and spline analysis suggested a generally increasing association. These findings support FCR, particularly when modeled using quartiles or log-transformed values, as an interpretable integrative load-to-reserve construct associated with self-reported prevalent stroke, and suggest its potential relevance for population-based characterization of cerebrovascular health in aging adults. Full article

Background: Implant supply strategy in spine surgery affects operative workflow, resource utilization, and packaging-related material use, yet has received limited systematic investigation. This study evaluates single-sterile implants versus multipack implants using a hospital-based Health Technology Assessment (HB-HTA) framework. Methods: A non-randomized, mixed-methods comparative study was conducted at a tertiary academic spine center. Time measurements were recorded during eight posterior fusion procedures (four per supply type; n = 18 single-pack screws, n = 20 multipack screws) across three process steps: implant retrieval, sterile transfer, and instrument preparation. Time measurements were recorded per packaging unit; per-implant comparisons were additionally derived for operational interpretation. Packaging volume, weight, and packaging-related CO₂-equivalent estimates were calculated per implant. Standardized questionnaires were distributed to operating-room (OR) nurses (n = 14/21; 66.7%) and institutional surgeons (n = 11/11; 100%). Manufacturer-provided descriptive process and cost data were analyzed. Results: Multipack implants were associated with consistently shorter handling times across all measured process steps. Mean retrieval time per packaging unit was 25.4 s (multipack) versus 58.7 s (single-pack); retrieval time was significantly shorter for multipack units on the Mann–Whitney U test (p = 0.004), a result that was robust to supply-related outlier events (p = 0.001 after their post hoc exclusion). Packaging-normalized sterile-transfer burden per implant was reduced by a factor of 4.76. Instrument preparation was faster with multipack systems (15.6 s vs. 25.2 s). Packaging volume per implant was reduced by a factor of 5.6, and packaging weight by a factor of 2. Packaging-related CO₂-equivalent estimates were lower for multipack implants (0.017 kg vs. 0.026 kg per implant). Survey responses indicated predominantly positive evaluations of workflow and handling efficiency. A trade-off was identified regarding the potential disposal of unused implants (noted by 73% of institutional surgeons). Manufacturer-provided descriptive data suggested scale effects in packaging and sterilization processes. Conclusions: Under high-volume academic conditions, multipack implants were associated with shorter implant-handling process times, favorable staff perceptions, and reduced packaging-related material burden while introducing trade-offs that require local evaluation. These exploratory findings suggest that the implant supply strategy is an underexplored but potentially relevant dimension of surgical process optimization in spine surgery. Full article

Rainfall-index-based disaster insurance is an efficient approach to mitigating hydrometeorological losses. However, conventional premium pricing models generally assume memoryless stochastic dynamics that do not fully capture the long-range dependence inherent in rainfall data. This study develops a hydrometeorological disaster insurance model within a fractional Black–Scholes framework to incorporate long-memory effects. The model is formulated using fractional differential equations and solved semi-analytically by integrating the Daftardar–Jafari Method (DJM) with the Kashuri–Fundo (KF) transform, yielding a closed-form solution expressed in terms of the Mittag–Leffler function. The proposed contract is structured as parametric rainfall insurance with a multi-layer payout mechanism based on percentiles corresponding to minor, moderate, and severe housing damage. The results show that variations in the fractional-order parameter significantly affect premium estimation. In particular,  δ = 0.5 recovers the classical model and tends to generate higher premiums than the fractional model with δ = 0.23153, whereas the model with δ = 0.73153 yields lower premiums. These findings indicate that fractional-order parameterization can accommodate diverse risk characteristics and policyholders’ economic capacities, enabling more adaptive, risk-sensitive premium structures. In line with SDG 13 (Climate Action), the proposed framework offers a climate-responsive disaster-mitigation strategy through accessible, actuarially relevant insurance design.  recovers the classical model and tends to generate higher premiums than the fractional model with , whereas the model with  yields lower premiums. These findings indicate that fractional-order parameterization can accommodate diverse risk characteristics and policyholders’ economic capacities, enabling more adaptive, risk-sensitive premium structures. In line with SDG 13 (Climate Action), the proposed framework offers a climate-responsive disaster-mitigation strategy through accessible, actuarially relevant insurance design. Full article