Search Results (533)

US Veterans are disproportionately affected by type 2 diabetes (T2D) compared with civilians. Previously, we demonstrated that serum GAS5 levels are lower in Veterans with T2D compared with non-diabetics and established GAS5 as a genetic biomarker for T2D, validated by others. Dried blood spots (DBS) are advantageous because collection is minimally invasive, and shipment can be at room temperature. Measurement of lncRNAs in DBS is not yet reported and hence we sought to measure lncRNA GAS5 levels in DBS collected from Veteran participants. Results demonstrate that older age was independently associated with lower GAS5 levels among Veterans. Comparing Veterans across war eras, in this cohort, Vietnam War (VW) Veterans had higher incidences of diabetes compared to Gulf War (GW) or Other (non-VW/GW) wars. VW Veterans with A1c values greater than 6.5 had lower GAS5 levels, independent of BMI. Among the VW Veterans, a very small number of Veterans with self-reported Agent Orange (AO) exposure had lower GAS5 levels. Based on this observation, a mouse model with acute TCDD exposure was evaluated for Gas5 levels. The results demonstrate a significant negative correlation between TCDD dose and Gas5 levels measured in blood and DBS in the mouse model. Overall, the study demonstrates that lncRNA GAS5 measured in DBS and blood may be used in biomarker studies in diabetic patients. These results support the use of DBS in longitudinal studies of chronic diseases in active-duty service members or Veterans with toxic exposures during military service. Full article

Colorectal cancer (CRC) remains a major global health concern. Marine by-products are increasingly recognized as promising sources of functional ingredients with diverse bio-activities. This study investigated the effects of sea cucumber viscera hydrolysates prepared by protease hydrolysis (SVH) and further fermented with Cordyceps militaris (FSVH) on cellular function and energy metabolism in HCT116 cells. Cell viability, apoptosis, migration, and invasion were evaluated using CCK-8, flow cytometry, wound healing, and Transwell assays. Cellular energy metabolism was assessed by measuring glucose uptake, lactate production, oxygen consumption rate (OCR), and extracellular acidification rate (ECAR). The results showed that SVH and FSVH exhibited distinct biological activity profiles in HCT116 cells. Both SVH and FSVH induced apoptosis and inhibited the migration and invasion of HCT116 cells. Both treatments affected glucose metabolism and mitochondrial respiratory function, including glucose uptake, lactate production, mitochondrial respiration, and glycolytic activity. SVH exhibited stronger inhibitory effects on glycolysis-related parameters, whereas FSVH showed greater effects on mitochondrial respiratory capacity. These findings indicate that C. militaris fermentation modified rather than simply enhanced the biological properties of sea cucumber viscera hydrolysates, resulting in distinct effects on cellular function and energy metabolism. This study highlights the potential application of sea cucumber viscera hydrolysates for the value-added utilization of marine processing by-products. Full article

Amid accelerating climate change, natural resource depletion, and rising consumer demand for sustainable, health-promoting products, circular agriculture has emerged as a strategic pathway for reconciling agricultural productivity with environmental and social sustainability; however, empirical evidence on how circular production, health-product innovation, and experiential tourism can be jointly evaluated within a single model remains limited. This study aims to propose a multidimensional value assessment framework for circular agriculture through a case study of the Tam Dao Mushroom Cooperative (TDMC) in Phu Tho Province, Vietnam, centered on the cooperative’s Cordyceps militaris-based production system, nanotechnology-enabled health-product processing, most notably the Nano Cordy Milk functional beverage and Science, Technology, Engineering, and Mathematics (STEM)-oriented experiential tourism activities, comprising guided production tours, hands-on cultivation and processing demonstrations, and on-site product tastings offered to school and university groups, domestic and international tourists, and visiting farmers and cooperatives. The research integrates a case study approach with the Fuzzy Analytic Hierarchy Process (Fuzzy-AHP) to determine the priority weights of value dimensions based on the evaluations of seven experts. The findings identify five key dimensions of value generated by the circular agricultural model: economic value, environmental value, social value, educational value, and tourism value. The Fuzzy-AHP results indicate that economic value has the highest priority weight (Best Non-fuzzy Performance, BNP = 0.4050), followed by environmental value (0.2715), social value (0.1307), educational value (0.1313), and tourism value (0.0621). The study demonstrates that the circular agriculture model not only generates economic benefits but also simultaneously creates significant environmental, social, educational, and tourism values. These findings contribute to the theoretical foundation for assessing the multidimensional value of circular agriculture while providing practical references and policy implications for the sustainable development of circular agricultural models. Full article

Background/Objectives: Body mass index (BMI) is the most widely used measure for obesity classification, yet it does not directly measure body fat and may substantially underestimate obesity prevalence. Simultaneous evaluation of the diagnostic accuracy of bioelectrical impedance analysis (BIA), BMI, and waist-to-hip ratio (WHR) against dual-energy X-ray absorptiometry (DEXA) for obesity classification is lacking in Saudi Arabia. We aimed to quantify the diagnostic performance of these three surrogate measures against DEXA in Saudi adults. Methods: We conducted a cross-sectional diagnostic accuracy study reported according to the STARD guideline at Prince Sultan Military Medical City, Riyadh, Saudi Arabia. We enrolled a convenience sample of 399 adults aged 18–65 years recruited from primary health care and outpatient clinic waiting areas. Each participant underwent InBody 770 BIA, anthropometric measurements (BMI, WHR), and DEXA (Lunar iDXA, GE) on the same day. We evaluated BIA body fat percentage against DEXA body fat percentage, BMI ≥ 30 kg/m² against DEXA body fat percentage and fat mass index (FMI)-defined obesity, and WHR against the DEXA android-to-gynoid ratio. We calculated sensitivity, specificity, positive and negative predictive values, likelihood ratios, and area under the receiver operating characteristic curve (AUC), overall and stratified by sex. Results: DEXA classified 86.0% of participants as having obesity, compared with 62.9% by BIA and 24.8% by BMI; against DEXA body fat percentage, BMI ≥ 30 kg/m² had a sensitivity of 28.9% and specificity of 100%. When FMI replaced body fat percentage as the reference standard, BMI sensitivity increased to 68.5% (specificity 97.3%, AUC 0.95). BIA achieved a sensitivity of 72.3%, specificity of 94.4%, and AUC of 0.86. WHR had the lowest sensitivity for central obesity (54.0%, specificity 94.8%, AUC 0.80). BIA showed the strongest correlation with DEXA body fat percentage (Spearman ρ = 0.82), followed by BMI (ρ = 0.60). Conclusions: BMI alone missed two-thirds of participants with DEXA-defined obesity in this Saudi adult cohort. Although BIA was more sensitive, it still missed 27.7% of individuals with DEXA-defined obesity. These findings support integrating body composition assessment into clinical practice and suggest that national obesity prevalence estimates based on BMI alone substantially underestimate the true burden. Full article

To address three major industry pain points—the lack of quantified profit-sharing standards in the two-stage pricing under the separation model of military research and production, the absence of stable Nash equilibrium in single-layer synchronous optimization, and insufficient incentives for full-cycle process optimization in design units—this paper constructs a two-level Stackelberg leader–follower game model with the general contracting unit as the leader and design and general contracting units as followers. This aligns with current prototype incentives and phased pricing policies for production rewards and penalties. At the theoretical level, it improves the complete proof system for the two-stage concave profit two-level Stackelberg Nash equilibrium, distinguishes the mathematical differences in equilibrium existence between sequential decision-making and synchronous optimization, and extracts general rules for phased differentiated profit sharing: high-innovation segments should be allocated more profit weight; simply maximizing total alliance profit may cause imbalanced interests, while introducing a minimum net profit-weighted objective can achieve Pareto improvements without profit loss. This conclusion can be applied to multi-stage general contracting scenarios across industries, such as EPC and military–civil collaborative innovation, enriching the basic theory of profit sharing and hierarchical games. Theoretically, the existence of the lower-level Nash equilibrium is proven using Brouwer’s fixed-point theorem, and combining it with the strictly monotonically decreasing feature of the best response function, uniqueness of the equilibrium is derived. Multiple sets of differentiated initial values are simulated to rule out multi-equilibrium bifurcation risk. The model incorporates the military’s reward and penalty policies as rigid exogenous constraints, sets dual individual rationality constraints of ‘cooperative profit greater than baseline profit with no allocation, and both parties’ net profit non-negative,’ and introduces differentiated cost-reduction efficiency and quadratic increasing effort costs to characterize the heterogeneous input of the two types of development entities. For models with piecewise nonlinearity and multi-constraint nonconvex structures, this paper modifies the standard PSO into a Bi-PSO solving framework through hierarchical temporal adaptation. It does not innovate the underlying particle update mechanism and is only used to match the sequential decision order of the leader–follower game. By comparing five algorithms—IPM, GA, SA, DE, and adaptive PSO—through 20 repeated simulations: gradient-based interior point methods easily get stuck in locally invalid solutions that violate cooperation thresholds; differential evolution has the best numerical global search performance, but all general evolutionary algorithms optimize allocation and effort variables simultaneously, disrupting the Stackelberg hierarchical timing. Only Bi-PSO maintains consistent game logic. Using a pricing case for a certain type of equipment and jointly calibrating all parameters with policy documents, three simulation scenarios were set up: no allocation, equal 50/50 split, and single-layer profit maximization. Under the no-allocation mode, R&D investment from the design unit drops to zero and alliance benefits plummet; a blanket equal split ignores differences in technical contributions across two stages, leading to clear efficiency losses; single-layer optimization only pursues total profit maximization, causing a severe imbalance in profit distribution. The two-layer basic framework can achieve the upper limit of alliance benefits, and by adding a weighted optimization goal that considers both total profit and cooperation fairness, it can achieve equal net profits for both parties without reducing overall profit. Through single-parameter sweeps and two-factor heatmap simulations, the study further revealed the coupled effects of main party efficiency and mass production rewards and penalties on equilibrium input and optimal sharing ranges. A robust check was performed by replacing the logarithmic concave output function, producing a standardized allocation range resilient to parameter perturbations: optimal split for the prototype stage is 0.4–0.6 for the design unit, and for mass production stage 0.7–0.9. The findings suggest that high-contribution stages in multi-phase collaboration contracts should receive more benefits, and a weighted fairness objective can achieve Pareto improvements. These conclusions can extend to multi-stage collaboration scenarios such as EPC and military–civilian cooperation. Theoretically, this research further completes the equilibrium proof system for two-party concave payoff two-layer games, providing a new reference for the theory of phased differentiated benefit-sharing contracts in the military sector. Methodologically, it proposes a two-layer intelligent solving tool adapted to leader–follower sequential decisions, effectively mitigating issues where single-layer model equilibria fail or analytical algorithms struggle with multi-constraint nonconvex games. The results can provide quantitative support for the military, general contracting unit, and design unit in drafting equipment incentive pricing contracts and managing full-cycle cost collaboration. Full article

Tang dynasty beacon towers in Xinjiang’s circum-Tarim region constitute surviving architectural evidence of a frontier military communication system that supported regional governance and safeguarded the Silk Road. However, these beacon tower sites are generally small, severely weathered earthen structures whose military and heritage significance is difficult to interpret from individual remains alone. This study aims to reconstruct the military communication functions and spatial organization of Tang dynasty beacon tower architectural heritage in the circum-Tarim region. Specifically, this study seeks to quantify the recognizable distance of beacon-fire signals, identify visual connections among archaeological sites, and explain how visual signaling and road-based document transmission jointly maintained regional communication. First, key parameters were extracted from historical documents to calculate the maximum recognizable distance of beacon-fire signals. GIS intervisibility analysis was then conducted for 134 beacon towers and 54 associated city sites, and the results were integrated with military administrative jurisdictions, ancient transportation routes, city-site hierarchy, topography, and the “mapu” document-relay system. The analysis identified 262 effective intervisibility links among 139 sites. Among 101 adjacent site pairs without direct intervisibility, 62 routes may have maintained communication through road-based document transmission. The results indicate that the reconstructed system combined beacon-fire signaling with military document transmission and exhibited three principal spatial patterns: networked early warning in core oasis areas, linear transmission along the Silk Road, and point-based early warning near mountain passes. These arrangements linked the major military jurisdictions and directed information toward the Anxi Protectorate, the highest military and administrative center in the Western Regions. This study provides a viable GIS–historical approach for interpreting the functional and spatial organization of beacon tower architectural heritage, while offering a scientific basis for its integrated conservation and the interpretation of its military heritage values. Full article

Wearable and environmental sensors are increasingly used to monitor human performance and health in real time, but their practical value remains limited when signals are interpreted in isolation or through context-independent algorithms. This Perspective focuses on real-time physiological monitoring in elite sport, using exertional heat illness risk and physiological strain as a high-stakes worked example. Our work further illustrates how such monitoring could move from device-level measurement toward fit-for-purpose sensor ecosystems. We argue that such ecosystems should be defined not by multimodal data collection alone, but by five core pillars: time-synchronised sensing, context-specific interpretation, multi-level validation, uncertainty-aware modelling and embedded governance—each evaluated against a defined high-stakes decision rather than device accuracy alone. Accurate decision-making in this context may require integration of thermoregulatory, cardiovascular, biomechanical and environmental data streams. Emerging artificial intelligence approaches may support prediction and decision support, but only if models are transparent, calibrated, prospectively validated and robust to individual and contextual variability. We also examine unresolved risks, including algorithmic bias, false reassurance, athlete surveillance, proprietary opacity, data asymmetry and regulatory constraints. While the framework and evidence presented here are anchored in elite sport, we discuss where its core validation and governance principles may extend to clinical, occupational and military settings, and where the underlying evidence remains sport-specific. The proposed framework is intended to complement, rather than replace, existing digital health, athlete management and cyber–physical systems by specifying the validation and governance requirements needed for high-stakes human performance monitoring. Full article

Underwater Wireless Sensor Networks (UWSNs) hold significant economic and military value; however, their routing protocols remain inherently vulnerable to external attacks. Unlike terrestrial networks, UWSNs cannot readily adopt complex cryptographic verification systems due to the high propagation delay, limited bandwidth, and low connectivity inherent in underwater acoustic channels. To address the wormhole attack—one of the most critical threats to UWSN routing—this paper proposes an intelligent routing scheme (UWSN-IRS) that not only detects wormhole attacks effectively but also identifies the source nodes and eliminates the threat. The proposed scheme comprises four integrated modules: a self-adjusting routing mechanism, a wormhole attack detection mechanism, a wormhole node localization mechanism, and an anti-cheating mechanism. The self-adjusting routing mechanism optimizes node distribution and intelligently searches for the optimal forwarding path. Upon the occurrence of a wormhole attack, the detection mechanism employs an artificial neural network to identify the compromised links and outputs a set of suspected wormhole nodes. Subsequently, the localization mechanism determines the exact positions of these malicious nodes through ranging and iterative positioning. Finally, the anti-cheating mechanism isolates the detected attacking nodes and deploys substitute nodes to fill the resulting monitoring voids. The experimental results demonstrate that the UWSN-IRS exhibits superior performance in attack scenarios, enabling reliable wormhole detection, precise attacker localization, and sustained normal network communication. Full article

Background/Objectives: Human nutritional requirements are closely linked to energy expenditure, which depends on daily and occupational activities. Studies on groups performing tasks requiring increased physical effort may support determining their energy and nutritional needs. The study population consisted of soldiers performing a wide range of tasks domestically and during missions abroad, whose physical effort may be comparable to that of athletes in demanding sports disciplines. The aims of this study were (1) to assess the energy expenditure of soldiers performing training tasks in two different special forces units, as a basis for evaluating the physical demands of their work; (2) to evaluate the daily energy expenditure value as a basis for planning the energy and nutritional value of the daily food ration, as well as to develop a proposal for a nutritional standard dedicated to collective feeding in special forces units. Methods: The study included soldiers from the Special Unit “GROM” and from the Special Branch of the Military Police (MP). Energy expenditure was measured using heart rate monitoring and analysis of heart rate variability. Results: The average daily energy expenditure related to field training was 4175 ± 723.7 kcal for GROM soldiers and 5014.8 ± 666.3 kcal for soldiers of MP. Conclusions: To ensure safe and adequate nutrition for special forces soldiers, the energy value of the daily food ration—after applying a 5–10% safety margin—should be no less than 4400 kcal. Considering the significant increase in energy expenditure during intense training, the average value of this increase was determined to be approximately 500 kcal. It was proposed to increase the energy value of the daily food ration by 500 kcal. Based on the findings, nutritional requirements were determined as a proposal for a basic nutritional standard for soldiers of Polish special units. Full article

MXenes, a rapidly expanding family of two-dimensional transition-metal carbides and nitrides, are increasingly viewed as strong candidates for defense-oriented multifunctional systems because they combine metallic conductivity, surface tunability, mechanical flexibility, and solution processability within a lightweight platform. Unlike conventional metals, ceramics, and semiconductors, which usually optimize one or two parameters at the expense of density, brittleness, or integration compatibility, MXenes offer a rare opportunity to coordinate electromagnetic, mechanical, thermal, and sensing functions within one material family. Different from existing reviews that focus on laboratory-level record performance or single-function optimization, this review presents an innovative deployment-oriented perspective and fills the research gap of systematic military-oriented evaluation for MXenes. In this review, we examine MXenes from a deployment-oriented perspective rather than through isolated record values. We first summarize their formation chemistry and major synthesis routes, including HF and in-situ HF etching, bifluoride and alkaline methods, molten-salt strategies, electrochemical approaches, and precursor-free chemical vapor deposition. We then discuss the principal levers of property regulation, focusing on composition design, surface-termination control, and heterostructure engineering, and show how these strategies shape the performance envelopes relevant to shielding, stealth, impact response, energy storage, and sensing. This review constructs a full-chain analytical framework from synthesis, property regulation to military application and deployment challenges for the first time. Finally, we identify the main barriers to translation, especially manufacturing inconsistency, termination heterogeneity, oxidation and interfacial degradation, and limited application-level validation, and outline the most realistic paths toward deployable defense technologies. Full article

This article argues that there is a “substance” within places that is essential for understanding local space and its spatial processes but remains a research lacuna in human geography. It consists of geographical entities which, through relationships with the place, participate significantly in processes within it, e.g., production of its space, configuring the nature of its space, and transforming the nature of the place. I first address the issue of a geographical entity and its agency that is attributed to it under the posthuman paradigm and how it may be viewed relationally, highlighting commonalities and differences between human geography and sociology, why entitativity does not defy relationality, the nature of relationality of geographical entities, and how it may be studied practically. Three geographical entities with different natures and geographical contexts are illustrated: the spatiality of an urban military base; the nature of a rural space created and transformed by an industrial compound; and the transformed nature of a place by an intentional community. The discussion highlights the merit of geographical entities as significant “substances” for understanding local space and the various issues and questions that surface when engaging with them. The conclusion dwells upon the value of studying geographical entities for human geography and for geography in general. Full article

This article presents a multi-indicator approach to forecasting the monthly workload of a military road freight transport system in support of operational planning. The empirical basis of the study consisted of real-world operational data from 2020 to 2025, aggregated into regular monthly time series. Four complementary workload indicators were analysed: the number of transport tasks, the number of vehicles assigned to task execution, the mass of transported cargo, and transport work expressed in tonne-kilometres. The research procedure comprised data preprocessing, indicator construction, seasonality analysis, time-series decomposition, comparison of classical forecasting models, and assessment of forecast uncertainty using prediction intervals. The forecasting models considered included the naive model, the moving-average model, Brown’s and Holt’s exponential smoothing models, ETS, and ARIMA. Model performance was evaluated using a rolling-origin validation procedure with an expanding training window, based on MAE, RMSE, MAPE, MASE, and Bias metrics. The results showed that the recommended model depends on the forecasted workload dimension: Brown’s model performed best for the number of transport tasks, ETS for the number of vehicles and transport work, whereas the 12-month moving-average model was most effective for transported cargo mass. All recommended models achieved MASE values below 1, indicating improved predictive performance compared with the naive benchmark. The study demonstrated that point forecasts supplemented with 80% and 95% prediction intervals can support monthly planning of fleet resources, transport capacity reserves, and future workload levels. Although the empirical analysis concerns a military transport system operating under peacetime conditions, the proposed framework may be adapted to support monthly workload forecasting and operational planning in other freight transport systems. Full article

Cordyceps militaris is a high-value medicinal mushroom with growing demand in functional-food and nutraceutical markets, yet practical frameworks for small-scale, family-operated cultivation remain limited. This study presents an integrated technical and economic feasibility analysis of small-scale Cordyceps production under two scenarios: a one-room setup (Scenario 1) and a two-room configuration with a shared processing area and staggered scheduling (Scenario 2). Both use consistent biological, operational, and market assumptions with no hired labor, and the analysis covers capital expenditure (CapEx), operating costs (OpEx), profitability, payback, and break-even thresholds, complemented by sensitivity analysis of parameters such as biological efficiency and contamination rates. Both scenarios were technically and financially viable. Scenario 1 achieved a net present value (NPV) of $1761, an internal rate of return (IRR) of 10%, a 4.7-year discounted payback, and a 133% five-year return on investment (ROI); Scenario 2 attained an NPV of $85,437, a 66% IRR, a 1.6-year payback, and a 366% ROI. Because gross margins were consistent across scales, the expansion’s advantage stemmed from more efficient CapEx amortization rather than improved unit profitability. Cordyceps cultivation emerges as a viable family-operated, small-scale enterprise that can diversify family income, generate supplementary or primary earnings, and support urban and rural livelihoods. Full article

Object detection in remote sensing imagery plays an irreplaceable role in critical fields such as military reconnaissance and disaster monitoring. However, when dealing with minute targets characterised by an extremely low pixel proportion, a lack of textural information, and severe background interference, existing algorithms still face the challenge of balancing detection accuracy with computational efficiency. To address this, this paper proposes a lightweight frequency-domain-aware end-to-end detection model, LE-DETR, based on an improved version of RT-DETR. Firstly, a Lightweight Feature Extraction Module (LFEM) is designed. Through a heterogeneous dual-path architecture and reparameterisation techniques, it significantly reduces computational complexity whilst enhancing the capture of fine-grained spatial features. Secondly, an Efficient Spatio-Frequency Fusion Module (ESFFM) is introduced. This utilises a multi-head self-attention mechanism to construct a global view whilst combining the Fourier transform to reconstruct target features from a frequency-domain perspective, thereby effectively suppressing background noise and enhancing the target’s edge signals. Finally, we propose the Efficient Frequency-Aware Fusion Feature Pyramid Network (EFAM-FPN), which utilises SPD Conv to mitigate the loss of key features during downsampling and introduces a frequency-domain attention mechanism to suppress complex background noise, thereby improving the model’s detection accuracy for extremely small objects. The experimental results show that, whilst reducing the number of parameters by 41.7% compared to the baseline model, LE-DETR achieved improvements of 2.6%, 1.7% and 2.4%, respectively, in the mAP50 metric across the three mainstream remote sensing datasets—VisDrone2019, NWPU VHR-10 and DIOR. This demonstrates an effective balance between detection accuracy and inference efficiency, fully validating its robustness and practical value in complex remote sensing application scenarios. Full article

Sustainable agriculture has been a focus of research for over three decades, gaining particular urgency with the escalation of global conflicts, especially the Russian–Ukrainian war. Selecting appropriate parameters for objectively assessing sustainable agricultural development remains challenging, with limited studies addressing the aggregation of all relevant indicators into a single analytical framework. Given that these indicators and their quantitative values change annually, continuous updating and analysis are essential. This study was guided by selected SALSA/PRISMA principles to structure the indicator-selection process for examining Ukraine’s agricultural sector, which is vital to both national and global food security and accounts for approximately 10% of GDP, more than 50% of exports, and nearly 17% of employment. Alongside climate change pressures, the sector faces severe disruption from military aggression, undermining its economic contribution and stability. This research identifies and selects the most relevant economic, ecological, and social indicators to assess sustainable agricultural development in Ukraine, comparing values before and during the war. Based on these, this study proposes the Sustainable Agriculture Index (ISA), an aggregated measure that integrates multiple dimensions of sustainability. The ISA was calculated using a normalized weighted aggregation approach across economic, environmental, and social indicators. This approach enables a comprehensive evaluation of Ukraine’s agricultural resilience and its capacity to contribute to sustainable development under crisis conditions. Full article