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The survival status of Lumnitzera littorea is near threatened globally and critically endangered in China. Clarifying its global distribution pattern and its changing trends under different future climate models is of great significance for the protection and restoration of its endangered status. To build a model for this purpose, this study selected 73 actual distribution points of Lumnitzera littorea worldwide, combined with 12 environmental factors, and simulated its potential suitable habitats in six periods: the Last Interglacial (130,000–115,000 years ago), the Last Glacial Maximum (27,000–19,000 years ago), the Mid-Holocene (6000 years ago), the present (1970–2000), and the future 2050s (2041–2060) and 2070s (2061–2080). The results show that the optimal model parameter combination is the regularization multiplier RM = 4.0 and the feature combination FC (Feature class) = L (Linear) + Q (Quadratic) + P (Product). The MaxEnt model has a low omission rate and a more concise model structure. The AUC values in each period are between 0.981 and 0.985, indicating relatively high prediction accuracy. Min temperature of the coldest month, mean diurnal range, clay content, precipitation of the warmest quarter, and elevation are the dominant environmental factors affecting its distribution. The environmental conditions for min temperature of the coldest month at ≥19.6 °C, mean diurnal range at <7.66 °C, clay content at 34.14%, precipitation of the warmest quarter at ≥570.04 mm, and elevation at >1.39 m are conducive to Lumnitzera littorea’s survival and distribution. The global potential distribution areas are located along coasts. Starting from the paleoclimate, the plant’s distribution has gradually expanded, and its adaptability has gradually improved. In China, the range of potential highly suitable habitats is relatively narrow. Hainan Island is the core potential habitat, but there are fragmented areas in regions such as Guangdong, Guangxi, and Taiwan. The modern centroid of Lumnitzera littorea is located at (109.81° E, 2.56° N), and it will shift to (108.44° E, 3.22° N) in the later stage of the high-emission scenario (2070s (SSP585)). Under global warming trends, it has a tendency to migrate to higher latitudes. The development of the aquaculture industry and human deforestation has damaged the habitats of Lumnitzera littorea, and its population size has been sharply and continuously decreasing. The breeding and renewal system has collapsed, seed abortion and seedling establishment failure are common, and genetic variation is too scarce. This may indicate why Lumnitzera littorea is near threatened globally and critically endangered in China. Therefore, the protection and restoration strategies we propose are as follows: strengthen the legislative guarantee and law enforcement supervision of the native distribution areas of Lumnitzera littorea, expanding its population size outside the native environment, and explore measures to improve its seed germination rate, systematically collecting and introducing foreign germplasm resources to increase its genetic diversity. Full article

Background/Objectives: Increasing the bioavailability of poorly absorbed drugs is a continuous challenge in modern pharmaceutical technology. This is due to the problematic nature of BCS class IV active pharmaceutical ingredients: these drugs possess poor solubility and membrane permeability. Moreover, many undergo immediate efflux and/or rapid systemic metabolism after absorption. This project aimed to improve the bioavailability of BCS class IV drugs by formulating gastroretentive self-emulsifying systems using curcumin as a model drug. Methods: The base of the systems was created by melting emulsifying agents, dissolution retardants, and PEGs together. Curcumin was added after the mixture was cooled slightly. Aqueous dispersions of several compositions were characterized by dynamic light scattering. After screening these results, the viscosities of the selected formulations were evaluated. Dissolution retardants were selected and added to the most superior samples, and their dissolution profiles were compared. Gastroretention of the final formulation was achieved by dispersing air in the molten system through melt foaming; internal structure was assessed by microCT, and physicochemical properties by PXRD and DSC. Cytotoxicity was measured in Caco-2 cells using MTT and Neutral Red assays, and transcellular transport was also studied. Results: Based on these results, a homogeneous gastric floating system was developed. We observed an advantageous cytotoxic profile and increased bioavailability. Conclusions: Overall, we were able to create a self-emulsifying gastroretentive formulation displaying extended release and gastric retention with a low amount of cost-efficient excipients. Full article

Metal additive manufacturing (AM) has become a crucial technology for rapid prototyping and enhancing the efficiency of producing lighter components. Despite these advantages, many challenges remain. We examine how mineral-rich developing countries can upgrade in the metal AM global value chain (GVC). We do so by applying the theory of GVCs and the multi-level perspective (MLP) framework to the metal powder segment. We investigate how Kazakhstan can link itself to the metal AM GVC by cooperating with China. Our case studies are based on 20 interviews with metal AM industry experts and scholars from Kazakhstan, China, and Europe. Using the MLP framework, we identify eight drivers that have enabled China to become prominent in the global metal AM industry. In addition, we identify eight barriers restricting Kazakhstan’s upgrading. For Kazakhstan to begin producing metal powders for AM, we suggest that its government start by implementing three policies, based on China’s experience: improve education and training systems, with a focus on advanced metallurgy; target AM industry segments in which cost, not quality, is a primary focus; and adopt international standards for metal AM-related activities. Our findings offer important lessons for other mineral-rich developing countries that may be more relevant than experiences from developed nations. Full article

Obstructive sleep apnea (OSA) is a prevalent sleep disorder characterized by partial or complete blockage of the upper airway during sleep, leading to disrupted airflow and fragmented sleep. Maxillary expansion has emerged as a promising treatment option, as widening the maxilla can increase nasal airway volume and improve airflow. The treatment options for maxillary expansion include rapid maxillary expansion (RME) for pediatric patients, mini-screw-assisted rapid palatal expansion  (MARPE) for adolescents and adults, surgically assisted rapid palatal expansion (SARPE) for skeletally mature individuals, and distraction osteogenesis maxillary expansion (DOME) for adults with severe maxillary constriction and nasal obstruction.  This comprehensive review explores the role of maxillary expansion in the management of OSA, examining its clinical applications and potential effectiveness as a therapeutic intervention. Full article

Tanshinone IIA (T-IIA), a fat-soluble diterpene quinone extracted from Salvia miltiorrhiza, is widely recognized for its multiple pharmacological properties, including anti-inflammatory, antioxidant, anti-fibrotic, and anti-tumor effects. Recent studies have highlighted its great potential in treating bone metabolic disorders, especially osteoporosis and bone damage repair. Bone health depends on the dynamic balance between osteoblast-mediated bone formation and osteoclast-mediated bone resorption. Disruption of this balance can lead to diseases such as osteoporosis, which is often diagnosed after a fracture, seriously affecting the quality of life and increasing the medical burden. Early identification of high-risk groups and appropriate treatment are essential for preventing fracture recurrence. Studies have shown that T-IIA can promote osteoblast differentiation and inhibit osteoclast activity, targeting key signaling pathways such as NF-κB, PI3K/Akt, and Wnt/β-catenin, all of which are closely related to bone metabolism. T-IIA has a dual role in regulating bone formation and bone resorption, making it a potential drug for the treatment of osteoporosis. In addition, T-IIA has neuroprotective, hepatic, renal, cardiac, and cerebral effects, which enhance its therapeutic effect. Despite the remarkable efficacy of T-IIA, its clinical application is limited due to poor solubility and low bioavailability. Recent advances in drug delivery systems, such as liposome formulations and nanocarriers, have improved their pharmacokinetics, increased absorption rate, and bioavailability. Combination therapy with growth factors or stem cells can further enhance its efficacy. Future studies should focus on optimizing the delivery system of T-IIA and exploring its combined application with other therapeutic strategies to expand its clinical application range. Full article

Accurate walking trajectory estimation is critical for monitoring activity levels in healthcare and occupational safety applications. Ultra-Wideband (UWB) technology has emerged as a key solution for indoor human activity and trajectory tracking. However, its performance is fundamentally limited by Non-Line-of-Sight (NLOS) errors and kinematic drift during turns. To address these challenges, this study introduces a novel integrated IMU-UWB framework for walking trajectory estimation in NLOS scenarios involving turning gait. The algorithm integrates an error-state Kalman filter (ESKF) and a phase-aware turning correction module. Experiments were carried out to evaluate the effectiveness of this framework. The results show that the presented framework demonstrates significant improvements in walking trajectory estimation, with a smaller mean absolute error (7.0 cm) and a higher correlation coefficient, compared to the traditional methods. By effectively mitigating both NLOS-induced ranging errors and turn-related drift, this system enables reliable indoor tracking for healthcare monitoring, industrial safety, and consumer navigation applications. Full article

The digital economy plays a pivotal role in advancing green productivity; however, the specific configurations driving this relationship remain underexplored. Employing the TOE theoretical framework alongside k-means clustering and fuzzy-set qualitative comparative analysis (fsQCA), we systematically examine the heterogeneous pathways through which digital economy configurations enhance green productivity in China’s Beijing–Tianjin–Hebei region. The results reveal that (1) green productivity exhibits distinct temporal evolution phases and spatial distribution patterns; (2) five characteristic digital economy city clusters emerge from the clustering analysis; (3) improvements in green productivity require specific synergistic combinations of technological, organizational, and environmental factors; and (4) antecedent conditions demonstrate complex substitution patterns across different development stages. These findings offer a configurational perspective on how digital economy architectures differentially influence regional green productivity development. Full article

This paper presents the development and implementation of a shopfloor visualization-oriented digitalization framework for heterogeneous industrial equipment, aimed to enhance sustainable performance in manufacturing environments. The proposed solution addresses a critical challenge in modern industry: the integration of legacy and modern equipment into a unified, real-time monitoring and control system. In this paper, a modular and scalable architecture that enables data acquisition from equipment with varying communication protocols and technological maturity was designed and implemented, utilizing Industrial Internet of Things (IIoT) gateways, protocol converters, and Open Platform Communications Unified Architecture (OPC UA). A key contribution of this work is the integration of various data sources into a centralized visualization platform that supports real-time monitoring, anomaly detection, and performance analytics. By visualizing operational parameters—including energy consumption, machine efficiency, and environmental indicators—the system facilitates data-driven decision-making and supports predictive maintenance strategies. The implementation was validated in a real industrial setting, where the solution significantly improved transparency, reduced downtime, and contributed to measurable energy efficiency gains. This research demonstrates that visualization-oriented digitalization not only enables interoperability among heterogeneous assets, but also acts as a catalyst for achieving sustainability goals. The developed methodology and tools provide a replicable model for manufacturing organizations seeking to transition toward Industry 4.0 in a resource-efficient and future-proof manner. Full article

Ischemic stroke is a multifactorial cerebrovascular disease that remains a leading cause of long-term disability and mortality worldwide. Despite advances in acute treatment, recurrence rates remain high, and nearly half of survivors experience persistent neurological deficits. Therefore, identifying genetic biomarkers that contribute to early diagnosis, risk prediction, and therapeutic improvement is increasingly important. MicroRNAs, small non-coding RNAs involved in gene regulation, have been recognized for their critical roles in vascular development and angiogenesis. This study investigated the association between angiogenesis-related miRNA gene polymorphisms and ischemic stroke risk using a population-based case–control design. Genotyping and statistical analysis revealed that miR-21 rs13137 A > T and miR-126 rs4636297 G > A were significantly associated with stroke susceptibility. The TT genotype of miR-21 rs13137 demonstrated a protective effect (p = 0.019); the AA genotype of miR-126 rs4636297 was associated with increased risk (p = 0.006), along with its dominant model (p = 0.007). Additionally, deep learning models were utilized to evaluate gene–gene and gene–environment interactions, enhancing predictive accuracy and identifying synergistic effects between miRNA polymorphisms and clinical risk factors. In summary, specific miRNA variants may serve as novel biomarkers for ischemic stroke, providing valuable insight into genetic susceptibility and supporting the advancement of precision medicine strategies. Full article

This paper presents the design and implementation of a 6-bit high-precision active vector-sum phase shifter (PS) operating in the E-band, fabricated using a 40 nm CMOS process. To generate high-quality in-phase and quadrature (I/Q) signals, a folded transformer-based quadrature generator circuit (QGC) employing inductive compensation is developed. Additionally, the series peaking enhancement technique is applied to improve overall gain and effectively extend the bandwidth. Measurement results demonstrate that the phase shifter achieves a 3 dB bandwidth from 72.3 GHz to 82.3 GHz. Within this range, the measured RMS phase error is merely 1.78–2.55 degrees without calibration, and the RMS gain error is 0.6–0.75 dB. The core area of the proposed phase shifter is 940 μm × 280 μm, and it consumes 57.2 mW of power with a 1.1 V supply. Full article

Sewer systems are essential for sustainable infrastructure management, influencing environmental, social, and economic aspects. However, sewer network capacity is under significant pressure, with many systems overwhelmed by challenges such as climate change, ageing infrastructure, and increasing inflow and infiltration, particularly through groundwater infiltration (GWI). Current research in this area has primarily focused on general sewer performance, with limited attention to high-resolution, spatially explicit assessments of sewer exposure to GWI, highlighting a critical knowledge gap. This study responds to this gap by developing a high-resolution GWI assessment. This is achieved by integrating fuzzy-analytical hierarchy process (AHP) with geographic information systems (GISs) and machine learning (ML) to generate GWI probability maps across the Dawlish region, southwest United Kingdom, complemented by sensitivity analysis to identify the key drivers of sewer network vulnerability. To this end, 16 hydrological–hydrogeological thematic layers were incorporated: elevation, slope, topographic wetness index, rock, alluvium, soil, land cover, made ground, fault proximity, fault length, mass movement, river proximity, flood potential, drainage order, groundwater depth (GWD), and precipitation. A GWI probability index, ranging from 0 to 1, was developed for each 1 m × 1 m area per season. The model domain was then classified into high-, intermediate-, and low-GWI-risk zones using K-means clustering. A consistency ratio of 0.02 validated the AHP approach for pairwise comparisons, while locations of storm overflow (SO) discharges and model comparisons verified the final outputs. SOs predominantly coincided with areas of high GWI probability and high-risk zones. Comparison of AHP-weighted GIS output clustered via K-means with direct K-means clustering of AHP-weighted layers yielded a Kappa value of 0.70, with an 81.44% classification match. Sensitivity analysis identified five key factors influencing GWI scores: GWD, river proximity, flood potential, rock, and alluvium. The findings underscore that proxy-based geospatial and machine learning approaches offer an effective and scalable method for mapping sewer network exposure to GWI. By enabling high-resolution risk assessment, the proposed framework contributes a novel proxy and machine-learning-based screening tool for the management of smart cities. This supports predictive maintenance, optimised infrastructure investment, and proactive management of GWI in sewer networks, thereby reducing costs, mitigating environmental impacts, and protecting public health. In this way, the method contributes not only to improved sewer system performance but also to advancing the sustainability and resilience goals of smart cities. Full article

Considering the importance of carotenoids in the human diet, their enhancement is a key trait in current breeding programs. This study assessed lutein, zeaxanthin, α-carotene, and β-carotene levels in the flesh of mature fruits from 257 global C. pepo accessions. Lutein and β-carotene were the most prevalent, with top accessions identified for each carotenoid. A panel of 120 accessions with reliable carotenoid contents and genetic diversity was analyzed using 23,111 GBS-generated SNPs in genome-wide association studies (GWAS). Three genomic regions (qtl1, qtl3, and qtl13) on chromosomes 1, 3, and 13 were significantly linked to carotenoid levels, with alternative alleles increasing the carotenoid content, leading to yellowish–orange flesh. Seven candidate genes were identified: CpTIC56, CpHSHP70, and CpPDL8, which regulate carotenoid biosynthesis in chloroplasts; CpSPX and CpPHO1, associated with phosphate homeostasis and carotenoid buildup; CpMYB106, co-expressed with carotenoid biosynthesis genes; and a CpPPR RNA-binding protein. RNA-seq data from yellow- and white-fleshed fruits supported their involvement in carotenoid accumulation. These results improve our understanding of the genetic control of carotenoid buildup in C. pepo fruit, supporting breeding efforts for improved nutritional quality. Full article

A systematic investigation was conducted on the laser shock forming (LSF) process of carbon steel Q355ME sheets and practical skin components, focusing on the influence of absorption layer types, laser energy, and impact cycles on forming capacity and surface properties. Three kinds of absorbing layers were compared in the experiment: no absorbing layer, 0.1 mm aluminum foil and 0.12 mm black tape. The results show that when the black tape is used as the absorbing layer, the forming effect is the best, the arc height value reaches 2.63 mm, and the radius of curvature is 1066 mm. Using 0.1 mm thick black tape as the absorption layer and laser parameters of 10% overlap rate, 15 ns pulse width, 4 mm spot, and 1064 nm wavelength, the single impact of 13 J, 15 J, and 17 J, and one, two, and three impacts of 15 J energy were carried out on the plate. It was found that the increase in laser energy and impact times resulted in increases in deformation, surface roughness, microhardness, and residual stress of the plate. The surface work hardening phenomenon of Q355ME plate after laser shock slowed down the increase in these performance parameters. The experimental results show that the laser energy is linearly positively correlated with the residual stress in a certain energy range. Under the optimized laser process parameters, the forming error of the actual skin parts is controlled within ± 0.4 mm, the surface residual stress increases by 368.9%, and the surface microhardness increases by 10.4%. The ultra-high strain plastic deformation and grain refinement on the surface of the sheet were caused by multiple laser shock peenings, which confirmed that LSF technology can improve the formability of carbon steel skin parts and improve its surface properties. Full article

Rice bran represents an exceptional natural source of dietary fiber (DF), and its physicochemical properties and therapeutic potential are closely associated with its origin and processing methods. Herein, rice bran was subjected to extrusion, fermentation, and a combined treatment of fermentation and extrusion to explore the alternations in the structural, physicochemical, and functional properties of the resulting insoluble dietary fiber (IDF). All treatments induced substantial microstructural alterations in IDF, producing fiber matrices with enhanced porosity and looser architectures. The employed processing treatments significantly enhanced the functional properties of rice bran IDF over the unprocessed sample, with 1.37- to 1.78-fold increases in oil-holding capacity, 1.31- to 1.48-fold increases in cholesterol-adsorption capacity, 2.89- to 5.90-fold increases in α-amylase-inhibitory activity, and 2.41- to 3.70-fold increases in glucose-adsorption capacity. Among them, extrusion proved more effective than fermentation in enhancing the water-holding capacity, sodium cholate binding, and cholesterol-adsorption capacity of rice bran IDF. However, fermented rice bran-derived IDF exhibited the optimum α-amylase-inhibitory and glucose-absorption capacities among all employed IDF samples. These findings provide valuable insights for the development of rice bran-based functional foods with enhanced health benefits. Full article

Lipids and polar metabolites are emerging as promising indicators of the brain’s molecular phenotype in both clinical and fundamental research. However, the impact of postmortem delay on these compounds, unavoidable in human brain studies, remains insufficiently understood. In this study, we examined the postmortem stability of lipids and polar metabolites over a 48-h interval in the brains of three species: humans, rats, and mice. We show that the abundance levels of 23% of the 867 studied lipids and 75% of the 104 studied polar metabolites were affected significantly by postmortem delay in at least one species. The postmortem effects correlated positively and significantly among the species, while showing an approximately tenfold slower rate in humans compared to rodents. The only exception to the postmortem rates deceleration was a group of oxidized fatty acids, which accumulated at similar speed in both humans and rodents. These findings provide valuable insights for improving reproducibility and refining the interpretation of human and rodent brain lipidome and metabolome data in future studies. Full article