Search Results (1,137)

Polyvinyl alcohol (PVA)-based films are promising biodegradable alternatives to petroleum-derived plastics; however, their high rigidity and moisture sensitivity limit practical applications. In this study, PVA/carnauba wax (CW) films were prepared via solution casting and systematically modified using four plasticizers: glycerol (GLY), sorbitol (SOR), glucose (GLU), and sucrose (SUC), at concentrations of 0.1–0.5% (v/w, relative to PVA). Thermal analysis showed that GLY and SOR effectively reduced the glass transition temperature from 52.35 °C (control) to as low as 49.14 °C (0.2% GLY) and 50.70 °C (0.4% SOR), while SUC and SOR plasticized films exhibited improved thermal stability, with the highest melting temperature observed for 0.3% SUC (80.6 °C). SEM micrographs revealed that GLY at moderate concentrations (0.2–0.3%) produced the most homogeneous film morphology, whereas SUC at higher concentrations led to surface roughness and phase separation. Water contact angle measurements showed increased surface hydrophobicity at low plasticizer contents, with 0.1% GLY and 0.2% GLU exhibiting contact angles above 100° compared to the control film (<90°). Mechanical testing demonstrated that SUC at 0.2% had the highest tensile strength (3.03 MPa) compared to 0.73 MPa (control), while GLY at 0.3% yielded the highest elongation at break (9.26%), compared to 0.62% for the unplasticized film. These results demonstrate that precise control of plasticizer type and concentration enables effective tuning of PVA/CW film properties, offering a viable strategy for designing biodegradable films tailored for packaging and agricultural applications. Full article

Autonomous driving technology is a core enabler for new energy vehicle industrial upgrading and a critical pillar for achieving sustainable development goals (SDGs), especially sustainable urban mobility, low-carbon transportation, and efficient intelligent transportation systems (ITS). However, unstable nighttime low-light perception severely restricts autonomous driving deployment, hindering sustainable transportation development—rooted in visual feature degradation and cross-modal imbalance that impair 3D object detection (autonomous driving’s core perception technology). To address this and advance sustainable autonomous driving, this paper proposes a Bird’s-Eye View (BEV)-based multi-modal 3D object detection approach tailored for nighttime scenarios, integrating low-light adaptive components while preserving the original BEV pipeline. Without modifying core inference, it enhances low-light robustness and cross-modal fusion stability, ensuring reliable perception for sustainable autonomous driving operation. Extensive experiments on the nuScenes nighttime subset quantify performance via rigorous metrics (NDS, mAP, mATE). Results show the method outperforms BEVFusion with negligible parameter/inference overhead, achieving 1.13% NDS improvement. This validates its effectiveness and provides a sustainable technical tool for autonomous driving perception, promoting new energy vehicle popularization, optimizing urban ITS efficiency, reducing perception-related accidents and carbon emissions, and directly contributing to transportation and socio-economic sustainability. Full article

Zinc oxide (ZnO) nanoparticles combined with conducting polymers such as polyaniline (PANI) demonstrate promising potential in flexible ultraviolet (UV) photodetection applications. However, the overall performance of undoped ZnO in photodetectors is often limited by high dark current, low responsivity, and detectivity, attributable to the high density of intrinsic defects and recombination rates. This study was aimed at evaluating the influence of magnesium (Mg) concentration ($0.5\le \mathrm{x}\le 3.0\% \mathrm{m}\mathrm{o}\mathrm{l})$ on the structural and optical properties of 3-aminopropyltriethoxysilane (APTES)-modified ZnO/PANI hybrid matrix for ultraviolet (UV) photodetector applications. The novelty of this work lies in the dual strategy of Mg doping and surface modification intended to tailor the optoelectronic properties of ZnO nanoparticles (NPs). X-ray diffraction analysis confirmed the formation of a single-phase wurtzite ZnO. Photoluminescence measurements revealed a significant increase in photoemission intensity with increasing Mg concentration up to a maximum 2.0% mol. Incorporation of Mg remarkably modified the surface morphology and topography of the ZnO/PANI thin film, demonstrating an increase in both surface area and roughness. The Mg-ZnO/PANI photodetector with 1.0% mol of Mg doping concentration demonstrated excellent performance, with responsivity of 2.34 × 10⁻² A/W and detectivity of 1.56 × 10¹⁰ Jones. The effect of Mg doping concentration on the photoemission and photodetection is discussed in detail. Full article

As the rapid evolution and expansion of Internet of Things (IoT) devices continues to accelerate, modern infrastructures face increasing cyber risks, largely driven by device inter-connectivity, limited security maturity, and interdependent attack propagation across networks. Traditional cyber insurance models often overlook these IoT-specific characteristics, relying on uniform or simplified risk assumptions that fail to capture real-world vulnerabilities. To address this gap, this paper presents a maturity-aware cyber insurance optimization framework tailored for interconnected IoT environments. The framework integrates organizational security maturity, interdependent risk propagation modeled through a modified Susceptible–Infected–Susceptible (SIS) process, and a Stackelberg game formulation that captures strategic interactions between the insurer and the defender. Through numerical studies on representative IoT topologies, we demonstrate that maturity-aware, risk-sensitive premium structures quantitatively outperform uniform pricing baselines in cost-efficiency and insurer sustainability. Specifically, our experimental results reveal that operating at an optimal intermediate maturity level ($M=3$) reduces the defender’s total expected cost by approximately $40\%$ (from $255.38$ k to $152.36$ k) compared to the baseline state ($M=1$). Furthermore, this structural hardening triggers an $88.3\%$ reduction in full-coverage insurance premiums (from $225.38$ k to $26.36$ k). In contrast, our uniform-pricing baseline exhibits reduced profitability in our experiments due to cross-subsidization effects, reinforcing the value of tiered, risk-proportional pricing for mitigating adverse-selection incentives. In summary, this work establishes a tractable, economically viable framework for cyber insurance in IoT ecosystems and provides a foundation for future extensions to richer network settings. Full article

Pulmonary hypertension (PH) is recognized for being a severe, chronic phenomenon that necessitates a careful multidisciplinary approach. Its frequent coexistence with multiple comorbidities highlights the need for tailored decision-making concerning treatment towards not only certain PH subtypes but also towards each individual patient as well. Pulmonary arterial hypertension (PAH) management has undergone extensive development, which enabled patients’ life expectancy to be prolonged. The targeted treatment made a significant contribution to the improvement of the patients’ quality of life, thereby reducing the illness burden. However, apart from the administration of drugs in the course of PAH, there is also the field for determining and addressing modifiable factors, which may influence everyday life and the final outcome of these individuals. Taking into consideration the fact that iron deficiency (ID) is the most prevalent nutritional deficit worldwide and that there exists a well-established, scientifically supported correlation between ID and the outcome and prognosis of left heart failure patients, multiple studies were conducted in order to verify a possible connection between ID and right heart failure as well. Indeed, the crossroads of iron and PAH, PH related to hypoxia, and pathophysiological mechanisms linking pulmonary vasculature and ID have been eagerly investigated over recent years. Therefore, research provided a considerable amount of data in this area, emphasizing the potential usefulness of iron homeostasis to serve as a prognostic factor. Nevertheless, due to extensive exploration of this matter, several issues have arisen that demand further study and clarification, with the use of a proper ID definition being one of the most crucial. Herein, we present a concise review of the most up-to-date literature regarding iron’s homeostasis and pulmonary vascular bed through the prism of PAH and PH related to hypoxia. Full article

Traditional electronic phased array radars are constrained by electronic bottlenecks, resulting in inherent limitations including large form factor, fixed operational parameters, and narrow instantaneous bandwidth, which fail to meet the stringent requirements of next-generation high-performance radar systems. Optical true time delay (OTTD) technology based on integrated optical waveguides emerges as a core solution for realizing broadband, compact optically controlled beamforming systems. Traditional silicon-based waveguides suffer from severe mode competition (delay jitter > ±0.05 ps), energy leakage (transmission loss > 0.5 dB/cm) and large beamforming angle fluctuation (>0.3${}^{\circ }$) in OTTD systems, failing to meet the picosecond-level delay accuracy and broadband beam squint-free requirements of next-generation phased array radars. Thus, a customized mode-selective waveguide design for OTTD systems is urgently required. To address these critical challenges, this study proposes an OTTD-customized mode-selective integrated optical waveguide design tailored for OTTD systems, with three distinct innovations: (1) A systematic OTTD-oriented mode classification and selection methodology is established—instead of a conventional single-mode design, the fundamental TE₀ mode is identified as the optimal operating mode through Finite-Difference Time-Domain (FDTD) simulation, (95% TE polarization fraction and 2.0553 effective refractive index at 1548.39 nm, which cannot be achieved by other guided modes for OTTD applications). (2) The wavelength-dependent transmission characteristics of the TE₀ mode are quantitatively characterized, revealing a linear correlation between the effective refractive index (2.05–2.10) and wavelength (1500–1550 nm), alongside a controllable group delay range of 1.4315–1.4395 ps—this precise linear model fills the gap of lacking OTTD-specialized delay calibration theory in conventional waveguide research. (3) An OTTD-optimized practical mode selection criterion for OTTD applications is proposed by modifying the standard guided-vs-leaky condition for asymmetric waveguides: the effective refractive index of the operating mode must exceed the substrate refractive index with a fabrication tolerance margin (n_eff > 1.44 ± 0.02 for SiO₂ substrate) to mitigate leakage and adapt to OTTD picosecond-level delay precision. This criterion is validated through system-level beamforming experiments (rather than only device-level simulation), and the designed waveguide achieves a mode suppression ratio (MSR) of >30 dB for leakage modes and a transmission loss of <0.2 dB/cm, which is significantly superior to conventional single-mode waveguides in OTTD systems. Experimental results indicate that the angle fluctuation of the beamforming system is less than 0.08${}^{\circ }$, which is significantly superior to the 0.3${}^{\circ }$ fluctuation observed in traditional silicon waveguide OTTD systems. This work provides a technical solution for improving the performance of optical phased array radar and laser radar and has broad engineering application prospects in microwave photonics and optical communication fields. Full article

Background/Objectives: The growing demand for personalised, patient-centric drug delivery systems has driven innovation in pharmaceutical manufacturing, particularly in multi-unit particulate systems (MUPS). Methods: In this study, inert cores with tailor-made geometry for multi-particulate formulations were fabricated with high-resolution stereolithography (SLA) 3D printing. By a printable photopolymer resin, dimensionally accurate and mechanically robust starter cores were produced. The additively manufactured inert subunits were drug-layered with ibuprofen sodium using a fluidised bed process. Then, a controlled-release film coating of Eudragit RS 30D was applied with varying coating thicknesses. The initial 3D-printed subunits, together with the drug-layered and finally film-coated microparticles, were characterised by image analysis, Raman microspectroscopic measurements, and official methods of the European Pharmacopoeia. Results: The combined approach of 3D printing and traditional pharmaceutical processing proved highly effective. The 3D-printed cores demonstrated both flexibility in design and consistency in performance. Conclusions: These findings highlight the feasibility of using 3D printing to produce patient-specific, functional cores in multi-particulate systems that can be easily modified according to the patient’s needs. The fabricated minitablets can be used as alternatives to widely used inert cores. Integrating additive manufacturing with conventional coating techniques offers promising new avenues for developing next-generation, personalised drug delivery solutions. Full article

Chronic kidney disease (CKD) represents a major global health burden, with growing evidence indicating that its origins extend back to early developmental stages. This narrative review integrates epidemiological, clinical, and mechanistic experimental evidence to position inflammation as a life-course driver of kidney vulnerability rather than a late-stage consequence. Inflammation has emerged as a central mechanistic link connecting adverse prenatal and postnatal exposures to lifelong kidney vulnerability. We highlight the translational potential by identifying pathways amenable to early-life interventions that could modify disease trajectory. During fetal development, maternal nutritional status, metabolic stress, and inflammatory exposures influence nephron endowment, immune maturation, and epigenetic regulation, thereby shaping long-term CKD risk. In childhood, early immune dysregulation and low-grade inflammation contribute to disease initiation, defining critical windows for preventive and renoprotective interventions that can be implemented in at-risk populations. In adulthood and aging, persistent activation of cytokine signaling, inflammasomes, oxidative stress pathways, autophagy–mitophagy imbalance, and cellular senescence drives progressive kidney injury, further amplified by gut microbiota dysbiosis and renin–angiotensin system interactions. Emerging life-course strategies include maternal nutrition optimization, early-life risk stratification, targeted anti-inflammatory and immunomodulatory therapies, and microbiota-directed interventions tailored to developmental stage and individual risk profile. By emphasizing inflammation as a developmentally programmed and preventable process, this review underscores opportunities for early-life and transgenerational CKD prevention, translating mechanistic insights into actionable strategies for preventive medicine and public health. Full article

The impact modification of polyamide 6 (PA6) using maleic anhydride grafted ethylene/1-octene copolymers (EOR-g-MAH) is well-established, yet the isolated influence of intrinsic modifier parameters—specifically octene content $c_{\mathrm{o}\mathrm{c}\mathrm{t}}$ and molecular weight $MW$—remains insufficiently understood due to confounding microstructural effects. This study presents a systematic approach to decouple these variables by maintaining constant grafting degree, modifier content, and compound morphology. A series of PA6/EOR-g-MAH compounds was prepared with controlled variations in $c_{\mathrm{o}\mathrm{c}\mathrm{t}}$ (8–15 mol%) and $MW$ (34–42 kg/mol). Instrumented Charpy impact testing across a temperature range from −40 °C to +23 °C enabled quantification of crack initiation and propagation energies ($E_{\mathrm{i}\mathrm{n}\mathrm{i}\mathrm{t}}$ and $E_{\mathrm{p}\mathrm{r}\mathrm{o}\mathrm{p}}$), providing mechanistic insight into the brittle–ductile transition. Complementary thermal, rheological, and tensile analyses of the modifiers revealed how $c_{\mathrm{o}\mathrm{c}\mathrm{t}}$ governs cavitation behavior and low-temperature toughness, while $MW$ in particular influences particle integrity and energy dissipation at elevated temperatures. The results demonstrate that targeted adjustment of $c_{\mathrm{o}\mathrm{c}\mathrm{t}}$ and $MW$ allows for the precise tuning of brittle–ductile transition temperature (BDTT) and impact resistance. The compound containing a high-$MW$ modifier with intermediate $c_{\mathrm{o}\mathrm{c}\mathrm{t}}$ (13 mol%) exhibited the most favorable balance of toughness and strength retention at elevated temperatures. These findings offer design principles for engineering thermoplastics with enhanced performance across broad service conditions. Full article

This review highlights recent progress in the sustainable extraction, production and application of plant fiber-reinforced biopolymer composites. The review mainly focuses on properties of these materials—mechanical, thermal, and interfacial—and explores how factors such as fiber type, extraction methods, and surface treatments (e.g., enzymatic retting, deep eutectic solvents, steam explosion) affect fiber morphology and bonding with the polymer matrix. The work also discusses strategies to select and modify biopolymer matrices (e.g., PLA, PHA) for better compatibility, recyclability, and long-term performance, addressing challenges like fire resistance and environmental impact. Special attention is given to cellulose surface modification, which improves wettability and interfacial adhesion, while highlighting alternatives to conventional chemical treatments due to cellulose’s high crystallinity and strong hydrogen bonding. Despite advances in surface treatments and manufacturing, persistent challenges include moisture sensitivity, processing reproducibility, and standardization. Future research should prioritize application-tailored extraction, scalable eco-friendly modifications, and standardized testing to optimize durability and circular economy alignment. These fiber-reinforced biopolymer composites offer a viable path to fossil-free, high-performance materials. Overall, this review provides a comprehensive perspective that bridges sustainability and industrial applicability, offering practical guidance for developing high-performance, eco-friendly composites. Full article

This paper addresses the challenge of estimating language minority populations for compliance with the U.S. Voting Rights Act (VRA). Current methodologies, which rely on frequentist and Bayesian models developed by the U.S. Census Bureau, are benchmarked against a novel machine learning approach. We use a random forest (RF) model that significantly improves population size estimates for language minority groups. Our key contribution is the development of a modified RF objective function, a beta–binomial distribution, which is specifically tailored to the unique structure of the VRA data. This approach leverages the flexibility of the RF framework to accommodate the VRA data in a statistically principled manner. The resulting RF method demonstrates superior performance on several language minority groups compared to the established 2021 Census Bureau models. Full article

Soy protein concentrate (SPC) often has limited food applications due to the loss of its functional properties under harsh industrial processing. This study explored the effects of exposure time to high-intensity ultrasound (HUS) on the structural properties of SPC to assess the potential of a single protein for multiple bakery applications. HUS treatment modified SPC free sulfhydryl group content (4.81 ± 0.03 to 1.47 ± 0.01 µmol/g_protein) and hydrophobicity (34.17 ± 0.02 to 30.56 ± 0.03 µgBPB/mg_protein) and promoted the formation of soluble and insoluble aggregates, especially with longer exposure times, as evidenced by SDS-PAGE. According to Raman analysis, SPC exposed to 0.5 min HUS exhibited an α-helical content of 33.52 ± 1.58% and β-sheet content of 56.80 ± 4.40%, while the tyrosine doublet (I₈₅₀/I₈₃₀) ratio was associated with dough stability and indicated intermolecular hydrogen bonding within the dough matrix. Water absorption capacity was improved upon addition of HUS-exposed SPC samples, to 58.4 ± 0.71%, compared with 52.6 ± 0.85% of SPC-enriched dough. These changes accelerated dough development time and enhanced amylase activity, resulting in a dough with desirable viscosity. HUS-exposed samples with higher α-helix content and solubility, decreased water syneresis, and hydrophobic SPC formed stabile complexes with hydrophobic regions of the amylose chain, both leading to reduced starch retrogradation (1.551 ± 0.13 to 0.855 ± 0.04). Overall, this study showed that by controlling the HUS treatment time, protein structure can be tailored for its use in diverse bakery applications, further enhancing the commercial value of protein concentrates. Full article

Fresh fish is a highly nutritious and widely consumed product that remains highly perishable due to its chemical composition. Conventional preservation methods, such as chilling and freezing, are effective at inhibiting microbial growth but often compromise nutritional and organoleptic quality. Advanced thermal techniques, including supercooling and cryogenic storage, can extend shelf life to approximately 180 days but involve high infrastructure costs and potential sensory alterations. In response, non-thermal technologies have emerged as promising alternatives capable of minimizing microbial and enzymatic deterioration while reducing oxidative and sensory damage. These include high-pressure processing, cold plasma, gamma irradiation, advanced packaging systems (e.g., modified atmospheres, edible coatings), and natural antioxidants. However, such methods face limitations such as lipid oxidation, flavor changes, and scalability issues, highlighting the need for integrated preservation strategies. This study addresses a critical gap in the application of synergistic, multi-hurdle approaches that combine non-thermal technologies to enhance shelf life without compromising nutritional or sensory quality. It is essential to propose tailored and scalable solutions specific to fishery products to advance the development of sustainable and effective preservation systems that meet the practical needs of the seafood industry. Full article

Background: PRKAG2 cardiac syndrome is a rare autosomal dominant glycogen-storage cardiomyopathy that mimics sarcomeric hypertrophic cardiomyopathy (HCM) but features ventricular pre-excitation, progressive conduction disease and concentric hypertrophy due to intracellular glycogen accumulation. The c.905G>A (p.Arg302Gln) variant is one of the most frequently reported pathogenic substitutions. Case summary: We describe a three-generation family carrying the heterozygous PRKAG2 p.Arg302Gln variant. The proband, a 41-year-old man, presented with paroxysmal atrial fibrillation, short PR interval and abnormal intraventricular conduction associated with concentric left ventricular hypertrophy and preserved ejection fraction. Holter monitoring disclosed episodes of high-grade atrioventricular block, prompting implantation of a primary-prevention dual-chamber ICD. Two gene-positive brothers exhibited milder hypertrophy but shared sinus bradycardia, ventricular pre-excitation and supraventricular arrhythmias; one underwent catheter ablation of a posteroseptal accessory pathway. The affected mother displayed a hypertrophic phenotype complicated by sick sinus syndrome and permanent atypical atrial flutter requiring pacemaker implantation. No relevant extracardiac involvement was detected in any family member. Review and novelty: Using this family as a starting point, we provide a concise narrative review of PRKAG2 syndrome with emphasis on the Arg302Gln genotype, molecular mechanisms and emerging treatment strategies. We highlight key multimodality imaging and tissue-characterization features that help distinguish diffuse, concentric glycogen-storage hypertrophy from the often-asymmetric pattern of sarcomeric HCM. Integration of our findings with published Arg302Gln cohorts illustrates the broad phenotypic variability in conduction disease, pre-excitation and atrial arrhythmias. Conclusions: PRKAG2 p.Arg302Gln-related cardiomyopathy should be suspected in patients with otherwise unexplained left ventricular hypertrophy associated with short PR interval, pre-excitation or early brady–tachy arrhythmias. Early recognition of red-flag features, systematic genetic testing, family screening and tailored arrhythmia/device management are crucial, while emerging gene- and pathway-targeted therapies may offer future disease-modifying potential. Full article

This study investigates how natural fillers of different origins and morphologies influence the structural, thermal, rheological, and mechanical properties of thermoplastic elastomers (TPEs). Two series of materials were prepared: one based on a biobased matrix, poly(butylene 2,5-furandicarboxylate)-block-poly(tetramethylene oxide) (PBF-PTMO), and one based on a petroleum-derived matrix, poly(butylene terephthalate)-block-poly(tetramethylene oxide) (PBT-PTMO). Both series incorporated a range of natural modifiers, i.e., lignocellulosic fibers and ground fractions of Arundo donax L., cyanobacterial biomass (Spirulina platensis), and silica-rich mineral dust originating from volcanic stone quarries. The materials were obtained via melt blending, while the reference matrices (neat block copolymers) were synthesized through melt polycondensation. The chemical structure and limiting viscosity number (LVN) of the neat matrices were confirmed, while differential scanning calorimetry (DSC) provided insight into their morphology and phase composition. Scanning electron microscopy (SEM) was employed to evaluate the morphology and distribution of the modifiers within the polymer matrices. To assess how the fillers influenced processing windows and performance, thermogravimetric analysis (TGA), oscillatory rheological measurements, and tensile testing were performed. The results provide insight into structure–property relationships governing natural filler–TPE interactions and support the development of more sustainable elastomeric composites with tailored performance. Full article