Search Results (721)

Scandium (Sc)-doped aluminum nitride (AlN) thin films are critical for high-frequency, high-power surface acoustic wave (SAW) devices. A composite Sc doping strategy for AlN thin films is proposed, which combines magnetron sputtering pre-doping with post-doping via ion implantation to achieve gradient doping and tailor microstructural characteristics. The crystal structure, surface composition, and microstructural defects of the films were characterized using X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), energy-dispersive X-ray spectroscopy (EDS) and transmission electron microscopy (TEM). Results indicate that the Sc content in pre-doped ScAlN films was optimized from below 10 at.% to above 30 at.%, while the films maintained a stable (002) preferred orientation. XPS analysis confirmed the formation of Sc-N bonds, and EDS mapping revealed a gradient distribution of Sc within the subsurface region, extending to a depth of approximately 200 nm. High-resolution TEM revealed localized lattice distortions and surface amorphization induced by ion implantation. This work demonstrates the feasibility of ion implantation as a supplementary doping technique, offering theoretical insights for developing AlN films with high Sc doping concentrations and structural stability. These findings hold significant potential for optimizing the performance of high-frequency, high-power SAW devices. Full article

Recent work at SCN 2020 by Boyen, Izabachène, and Li introduced a lattice-based key-encapsulation mechanism (KEM) that achieves CCA2-security in the standard model without relying on generic transformations. Their proof, however, leaves a few gaps that prevent a fully rigorous security justification. Building on the same design rationale, we revisit that construction and refine it to obtain a more compact and provably secure KEM under the Learning With Errors assumption. Furthermore, we extend this framework to derive an identity-based variant (IBKEM) whose security is established in the same model. The resulting schemes combine conceptual simplicity with improved efficiency and complete proofs of adaptive-ciphertext security. Full article

The ketogenic diet (KD) is a metabolic intervention characterized by high fat and very low carbohydrate intake, showing significant metabolic, neuroprotective, and therapeutic effects. However, its efficacy varies widely due to individual genetic and epigenetic factors. This review synthesizes current knowledge of genes most strongly associated with KD response, including polymorphisms in FTO, APOA2, PPAR, SCN1A, KCNQ2, STXBP1, CDKL5, the MODY gene group, and SLC2A1, which shape outcomes across lipid metabolism, energy expenditure, inflammation, and neurotransmission. Epigenomic modifications induced by a KD, such as changes in DNA methylation and histone acetylation involving BDNF, SLC12A5, KLF14, and others, modulate functional metabolic and neurological effects. Sex and age further modulate KD effects through distinct patterns of gene activation and hormonal interactions. These variables together impact metabolic and neurological outcomes and are critical for developing personalized nutrition and disease management strategies. Based on the reviewed evidence, genetic and epigenetic profiling can help identify patients who are likely to benefit from a KD (e.g., GLUT1DS, PDH deficiency) and those in whom a KD may be ineffective or harmful (e.g., SCOT or SLC2A1-independent defects). The review concludes that genetic and epigenetic profiling is recommended for personalized dietary interventions. Full article

Background: Arrhythmogenic right ventricular cardiomyopathy (ARVC) is a congenital cardiac disorder, but its severity has been increasingly linked to inflammatory processes. This study aimed to investigate gene expression profiles in ARVC to identify genes potentially driving inflammation in affected individuals. Methods: Publicly available gene expression datasets comprising 12 ventricular tissue samples from six clinically confirmed ARVC patients (paired left and right ventricular biopsies) and 12 ventricular samples from six non-failing donor hearts were analyzed to identify differentially expressed genes. Immune infiltration was assessed to determine the proportions of immune cells in the ARVC condition. Correlation analysis between immune cell proportions and gene expression profiles was further performed to identify genes linked with inflammation-specific immune cells. Functional enrichment analysis of associated genes was performed to pinpoint the key involvement of genes in different inflammatory-specific pathways. Finally, the key gene associated with inflammation-specific immune cells and its active involvement in inflammatory pathways was further subjected to molecular docking against a curated library of marine-derived phytochemicals, followed by 100 ns molecular dynamics simulations to evaluate ligand stability. Results: A total of 141 significantly upregulated genes were identified in ARVC. Immune infiltration analysis revealed elevated proportions of regulatory T cells, CD8⁺ T cells, plasma cells, M2 macrophages, resting mast cells, and activated NK cells in the ARVC phenotype, indicating an immunologically active microenvironment. Correlation analysis identified four genes—LIFR, SCN2B, RGCC, and PIK3R1—showing significant positive associations with these immune cells. Functional enrichment analysis highlighted PIK3R1 (LogFC > 2.00) as a central regulator in the PI3K/AKT and mTOR pathways, which govern immune activation, cell survival, and fibrosis. Molecular docking identified two marine compounds, CMNPD18967 and CMNPD756, with strong binding affinities (−5.9 and −5.7 kcal/mol, respectively). Molecular dynamics simulations confirmed stable ligand binding within the PIK3R1 active site. Conclusions: PIK3R1 emerges as a key inflammation-associated gene in ARVC, with strong involvement in immune-regulatory pathways. Marine-derived phytochemicals CMNPD18967 and CMNPD756 demonstrate promising inhibitory potential through stable interaction with PIK3R1. While these findings present potential anti-inflammatory leads, validation in larger clinical cohorts and experimental models is essential to confirm translational applicability. Full article

This article evaluates and develops a thermodynamic steady-state model, analyzing the thermodynamic properties of ammonia–ionic liquid (NH₃–IL) working pairs for use in high-temperature (>100 °C) absorption heat pumps. Given the increasing need for energy savings and reductions in greenhouse gas emissions, this is becoming an important consideration in the context of industrial facilities. Prior work on ammonia–ionic liquid (IL) pairs has largely focused on lower supply temperatures and offers no quantitative criteria connecting IL properties to high-temperature (>100 °C) cycle design. This article presents calculations based on correlations in the literature to determine the vapor pressures of pure ionic liquids using a modified Redlich–Kwong equation of state; the vapor–liquid equilibrium (VLE) of NH₃/[emim][SCN] and NH₃/H₂O mixtures in the NRTL model; the specific heats of pure ionic liquids (ILs); the specific heat capacities of NH₃–IL and NH₃–H₂O mixtures; and the excess enthalpy (HE) for NH₃/[emim][SCN] and NH₃/[emim][EtSO₄] as a function of temperature and composition, using a combination of NRTL + Gibbs–Helmholtz and Redlich–Kister polynomials. The calculations confirm the practically zero volatility of ionic liquids in the generator. This preserves the high purity of the ammonia vapor above the NH₃/[emim][SCN] solution (y₁ ≥ 0.997 over a wide range of temperatures and concentrations) and enables the rectification process in the generator to be omitted. The specific heat capacity of pure ionic liquids (ILs) has been shown to be 52–63% lower than that of water. Mixtures of ammonia (NH₃) and ILs with a mass fraction of 0.5/0.5 have a specific heat at 120 °C that is 34–37.5% lower than that of the ammonia–water (NH₃–H₂O) solution. This directly translates into a reduction in the power required in the generator. Excess enthalpy results show moderate or strongly negative values within the useful temperature and concentration range, indicating the exothermic nature of the mixture. At the same time, the NH₃/[emim][EtSO₄] mixture is characterized by a decrease in enthalpy with increasing temperature, suggesting that benefits for the COP of the system can be obtained. Based on these calculations, criteria for selecting ionic liquids for use in high-temperature absorption pumps were formulated: negligible volatility, a low specific heat capacity for the mixture, and a strongly negative excess enthalpy, which decreases with temperature, at the operating temperatures of the absorber and generator. Full article

Inherited arrhythmias and cardiomyopathies are a group of potentially lethal genetic cardiac disorders which are often passed down through generations and pose risks to several family members. While individually rare, these conditions are collectively common and pose significant challenges for clinical management given their variable severity, age of onset, and response to treatments. Earlier genetic analyses revealed crucial insights into the main genetic culprits of these disorders, such as SCN5A for Brugada syndrome, and MYH7 and MYBPC3 for hypertrophic cardiomyopathy, which have revolutionized diagnosis, risk stratification, and medical management. Nonetheless, issues such as variable expressivity and penetrance, low yield of genetic testing, and relative lack of disease-modifying therapies remain significant hurdles for clinical management. The revolution of genome-wide association studies GWASs has transformed our understanding of inherited arrhythmias and cardiomyopathies, shifting the view of these disorders from a monogenic Mendelian inheritance towards a more complex, often polygenic inheritance with nuanced interplay between genetics and environment. Moreover, GWASs have enabled the quantification of polygenic predisposition to disease using polygenic risk scores, which are often complementary to and independent of monogenic risk. In this review, we highlight how GWASs have transformed the field of inherited arrhythmias and cardiomyopathies, with a particular focus on the polygenic risk scores developed and their clinical utility for the four disorders which have been impacted by GWASs—hypertrophic cardiomyopathy, dilated cardiomyopathy, Brugada syndrome, and long QT syndrome. Full article

Investigation of molecular mechanisms that underlie the toxicity of reactive oxidants requires the usage of reductionist cellular models, where laboratory cultures are treated by known doses of the target compounds in strictly controlled conditions. In recent years, much attention has been focused on hypothiocyanous acid (HOSCN), a pseudohypohalous acid that is one of the main products of chordata heme peroxidases. Due to its instability, HOSCN cannot be purchased and stored, so it has to be enzymatically synthesized before each experiment. For the first time, we systematically classified the published protocols for HOSCN synthesis, compared them by product yield, and found that the highest achievable concentration was about 1.9 mM. This value is not convenient for large-scale experiments with high cell density. Therefore, we developed an improved protocol for HOSCN preparation by optimizing reagent ratios, incubation times, and temperature. The current paper describes all steps from scratch, namely lactoperoxidase purification via a combination of cation exchange, hydrophobic interaction, and size exclusion chromatography, HOSCN synthesis from SCN⁻ and H₂O₂, as well as HOSCN concentration measurement. The main advantage of the current protocol is that the product yield reaches 2.9 mM, which is 60% higher than published alternatives. Full article

An indirect, novel, fast, and facile assay was developed for the colorimetric determination of fluoride anions using 96-well plates. The proposed method relies on the colorimetric degradation caused by fluoride ions after their reaction with the iron–thiocyanate complex in an acidic medium. The procedure required the addition of minimal amounts of ferric iron and thiocyanate anion solutions to form the corresponding complex with an intense blood-red color, after which, upon addition of fluoride ions, this complex would dissociate, and its color would gradually fade depending on the analyte concentration. The colorimetric differences were measured using a simple imaging device such as a flatbed scanner. Various parameters affecting the analytical performance of the proposed method were optimized, including solution concentrations, pH values, and reaction time for Fe(III)-SCN complex formation and its disintegration process. The proposed assay was successfully applied to the determination of F⁻ in oral hygiene product samples. The method exhibited acceptable detection limits (3.2 mg L⁻¹) with sufficient precision, good intra-day and inter-day reproducibility (ranging from 1.5 to 5.2%), and high selectivity against other anions and components of the samples under study. Full article

Soybean (Glycine max) is a globally important grain and oil crop, but its yield and quality are severely limited by soybean cyst nematode (SCN, Heterodera glycines Ichinohe), a devastating soil-borne pathogen. Here, we evaluated SCN race 3 resistance in 306 soybean germplasms and combined a genome-wide association study (GWAS) with transcriptome analysis to identify key resistance-related genes. GWAS using 30× resequencing data (632,540 SNPs) revealed 77 significant quantitative trait loci (QTLs) associated with SCN resistance, while transcriptome comparison between the extreme resistant accession Dongnong L10 and susceptible Heinong 37 identified 4185 upregulated and 3195 downregulated genes. Integrating these results, we characterized the GmRF2-like gene as a candidate resistance gene. Subcellular localization showed GmRF2-like encodes a nuclear-localized protein. Functional validation via soybean hairy root transformation demonstrated that overexpression of GmRF2-like significantly inhibits SCN race 3 infection. Collectively, our findings confirm that GmRF2-like plays a positive role in soybean resistance to SCN race 3, providing critical insights for dissecting the molecular mechanism of SCN resistance and facilitating the development of resistant soybean varieties. Full article

Following MI, massive cardiomyocytes are lost, and inflammatory cells such as monocytes and macrophages migrate into the damaged region to remove dead cells and tissue. While cardiac macrophages are abundant in the injured heart post-MI, the role of inflammation in cardiovascular disease has been under-appreciated in the past. Consequently, the contribution of specific macrophage subsets or macrophage-derived factors on cardiac cells is not well known. Thus, this study investigated the paracrine signaling between human-induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CM) and macrophages, with the focus on the effects of macrophage-derived osteopontin (OPN) on hiPSC-CM function. HiPSC-CM were first co-cultured with unpolarized (M0), pro-inflammatory (M1), or anti-inflammatory (M2) macrophages. The co-culture of hiPSC-CM with M2 macrophages specifically led to notable changes in the electrophysiological properties of hiPSC-CM, including prolonged contraction time (RT90), action potential duration (APD90), and calcium decay time (CSD RT90). Moreover, a significant upregulation of action potential-related genes such as CACNA1C and SCN5A was demonstrated, which coincided with the elevated OPN level in the hiPSC-CM with M2 macrophages co-culture. These functional changes were not observed in the hiPSC-CM-M0 and M1 co-culture groups, likely due to the OPN level remaining below the threshold required to induce detectable changes in hiPSC-CM. Subsequent experiments involving exogenous OPN supplementation and inhibition in hiPSC-CM culture yielded concordant results, further confirming the direct role of OPN in modulating hiPSC-CM gene expression. This study highlights the differential effect of specific macrophage subtypes on hiPSC-CM, as well as the potent bioactivity of OPN and its ability to directly modulate cardiomyocyte behavior, even in the absence of direct cell–cell interactions within a co-culture system. These findings further suggest that OPN could be a novel target for therapeutic intervention in cardiac diseases. Full article

Soybean cyst nematode (SCN, Heterodera glycines) is one of the major pathogens of soybean worldwide. We utilized the CHIP-Seq (chromatin immunoprecipitation sequencing) and RNA-Seq (RNA sequencing) data from the transgenic GmMYB29 strain (Glycine Max roots). We then performed enrichment analysis using KEGG and GO to identify potential candidate genes within the promoter-binding region. A targeted regulatory relationship between the GmMYB29 and GmPP2C-37like genes was further identified using the dual-luciferase Assay (Luciferase, LUC) and yeast one-hybrid Assay (Y1H). Hairy roots with target gene overexpression and gene-edited hairy roots were generated, and their resistance to soybean cyst nematode (SCN) was evaluated. Meanwhile, the presence of reciprocal genes with GmPP2C-37like was determined by the yeast two-hybrid library screening method. The targeting relationship between GmMYB29 and GmPP2C-37like genes was further validated through the Y1H assay and LUC assay. Based on phenotypic assessments of SCN, transgenic soybean roots overexpressing GmPP2C-37like exhibited significantly enhanced resistance to SCN 3 compared to wild-type. Further analysis revealed that GmPP2C-37like collaborates with other regulatory factors to modulate soybean resistance against SCN. Yeast two-hybrid library (Y2H) screening identified 18 interacting proteins. These findings not only illuminate the functional role of GmPP2C-37like but also provide a foundation for dissecting its molecular network. Moreover, the results offer promising candidate genes for enhancing SCN resistance and optimizing soybean resilience through targeted genetic strategies. Full article

To address the limitations of Stochastic Configured Networks (SCNs) in wind speed prediction, specifically insufficient regularization capability and a high risk of overfitting, this paper proposes a novel Regularized Stochastic Configured Network (RSCN). By integrating L1 and L2 regularization techniques from Elastic Net, RSCNs achieve feature sparsity while preserving prediction accuracy. Furthermore, a dynamic loss coefficient and a penalty term based on historical training loss are introduced to adaptively modulate the regularization strength during model training. Experimental results demonstrate that RSCNs achieve superior prediction performance and enhanced stability across four benchmark regression datasets and two real-world wind speed datasets. Compared with conventional SCNs and the swarm intelligence optimization-based variant HPO-SCNs, RSCNs significantly reduce the performance gap between training and test sets while maintaining high predictive accuracy. On average, improvements in ${\mathrm{R}}^2$, MAE, and RMSE exceed 50% reduction in error discrepancies. The proposed method offers an effective solution for wind power forecasting by effectively balancing generalization ability and computational efficiency, thereby holding practical significance for real-world applications. Full article

Lanthanide-based single-molecule magnets (Ln-SMMs) showing stimuli-responsive changes in photoluminescence (PL) and magnetic properties are attractive for their potential applications in information storage and molecular devices. In this work, we report two mononuclear complexes, namely, Dy(SCN)₂(NO₃)(Cl-depma)₂(4-hpy)₂ (Dy-Cl) and Dy(SCN)₂(NO₃)(Br-depma)₂(4-hpy)₂ (Dy-Br), where X-depma represents 10-X-9-diethylphosphinomethylanthracene (X = Cl, Br) and 4-hpy is 4-hydroxypyridine. Both contain face-to-face π-π-interacted anthracene rings and exhibit yellow-green excimer emission. Unlike the other related Dy–anthracene complexes without a halogen substituent, Dy-Cl and Dy-Br cannot undergo photocycloaddition reaction under UV-light irradiation. However, they exhibited remarkable grinding-induced changes in luminescence. Magnetic studies revealed that Dy-Cl and Dy-Br show SMM behavior under zero dc field with the effective energy barriers (U_eff/k_B) of 259 K and 264 K, respectively. We also investigated the effect of pressure on the magnetic properties of Dy-Br and observed a reduction in the magnetization value, narrowing of the butterfly-shaped hysteresis loop, and acceleration of the magnetic relaxation under 1.09 GPa. The results demonstrate that introducing a halogen substituent into an anthracene group may pose significant influences on the photophysical and photochemical properties of the complexes. In addition, pressure may be a promising external stimulus to modulate the PL and SMM behaviors of Dy–anthracene complexes. Full article

The soybean cyst nematode (Heterodera glycines, SCN) is the leading pathogen causing economic losses in soybean production worldwide. Using resistant cultivars is the most sustainable control method, yet the molecular basis of this resistance remains unclear. Heinong 531 (HN531), a high-yield soybean variety rich in seed oil, shows broad resistance to multiple SCN races. In this research, we studied HN531’s resistance to SCN races 3 and 5 through phenotypic assessment and comparative transcriptomics. Although initial infection rates were similar between resistant HN531 and the susceptible Dongsheng 1 (DS1), HN531 limited later nematode development inside roots, with fewer progressing to the J2 stage and maturing females. RNA-seq at 5 days post-infection revealed 1459 differentially expressed genes (DEGs) in HN531, mainly involved in secondary metabolite pathways, especially phenylpropanoid biosynthesis. We pinpointed a β-glucosidase gene (Glyma.12G053800, BGLU) upregulated after SCN infection and naturally more expressed in HN531 roots than DS1. Functional tests using Agrobacterium rhizogenes-mediated hairy root transformation showed that overexpressing Glyma.12G053800 in the susceptible DS1 significantly decreased SCN development and adult female counts by around 65%, without affecting initial infection. These findings suggest Glyma.12G053800 contributes to SCN resistance via phenylpropanoid-driven secondary metabolism, offering new insights into nematode resistance pathways and a valuable genetic resource for breeding broad-spectrum resistant soybean varieties. Full article

Nervousness results from variance and changes in the verdicts of supply and logistics networks and activities. Nervousness is considered a source of confusion in supply chain (SC) systems because it is associated with frequent decision changes. New SC techniques are necessary to handle the growing supply chain nervousness (SCN) from globalization. Although they can be challenging to create, SCN metrics are crucial for assessing and optimizing the operations of a SC. The evaluation of SCN and future improvements in SC performance depend on correctly identifying SCN metrics. In this study, a method for measuring SCN was proposed, and a model was developed. The SCN measurement model seeks to quantify SCN for inclusion in the SC structure to support decision making. To assist organizations in determining the effect of nervousness on SCs and enhancing their general performance and competitiveness, this study quantified SCN, defined SCN metrics, and modeled and assessed SCN indicators. The model includes key SCN measurements, simulating, and evaluation, which can enhance future SC performance and resilience by enabling more precise SCN quantification. The importance of the designated SCN metrics was then determined using a fuzzy decision-making trial and evaluation-laboratory method (FDEMATEL). This method was used to evaluate and resolve complicated, interrelated scenarios, as it can demonstrate how metrics are interdependent and form a map that illustrates their relative relationships. The findings distinguish between cause and effect measurements as well as their interactions. Additionally, the results show the importance of the rankings of the SCN measurements. These outcomes can be used to establish a solid foundation for developing effective decision-making tools for SCN. Full article