Optimal Stability Research Articles

A New Enzyme for Biodiesel Production and Food Applications: Lipase of Bacillus megateriumF25 Isolated From an Aquatic Insect Rhantus suturalis

ABSTRACTThis study aimed to isolate, purify, and characterize a lipase from the gut symbiont Bacillus megaterium F25 (GenBank accession: MF597792) of the aquatic insect Rhantus suturalis, with a focus on its potential applications in biodiesel and food industries. Under optimized culture conditions, B. megaterium F25 could produce 583 U/L of lipase in shaking flask culture. The purified lipase (PL) exhibited a specific activity with 113.89 U/mg, and its molecular weight was determined as 34 kDa. The activity of PL was enhanced by methanol, ethanol, Tween‐80, Triton X‐100, Ca2+, and Mg2+, while β‐mercaptoethanol, EDTA, SDS, Fe2+, Mn2+, and Cu2+ were inhibitory. PL showed optimal activity and stability at neutral and slightly acidic pHs, as well as in a temperature range of 20°C–30°C. PL displayed strong hydrolytic activity toward plant oils and animal fats, indicating its potency for both the food industry and the remediation of oil‐contaminated environments. When tested as a catalyst, PL provided biodiesel production with a transesterification yield of 86.8% under optimized conditions (36 h reaction time, 4 mL enzyme solution, 30°C, pH 7.0, and waste cooking oil:methanol ratio of 10 mL/40 mL). This is the first report on the lipase‐producing potential of gut microbial symbionts of aquatic insects. Furthermore, B. megaterium lipase was tested for the first time as a biocatalyst for biodiesel production.

Primary Stability of Zirconia Dental Implants with Cylindrical and Tapered Designs Across Varying Bone Densities: An In Vitro Evaluation

Background: While titanium implants are widely recognized for their clinical success, zirconia implants have emerged as a metal-free alternative. This study aimed to evaluate the influence of zirconia implant macrogeometry and bone density on primary implant stability. Methods: Two types of zirconia implants were tested—the Neodent® Zi Ceramic Implant and the Straumann® PURE Ceramic Implant, that were placed into polyurethane foam blocks mimicking different bone densities (10 PCF, 15 PCF, 20 PCF, 30 PCF, and 40 PCF). Each implant type was inserted and removed multiple times, with primary stability measured using resonance frequency analysis via the Osstell® Beacon device. Statistical tests, including the Shapiro–Wilk test, t-tests, the Mann–Whitney U test, and the Kruskal–Wallis test, were applied, with significance set at 5% (p < 0.05). Results: The tapered Neodent® Zi Ceramic Implant consistently showed higher ISQ values across all foam densities compared to the Straumann® PURE Ceramic Implant (p = 0.035). Additionally, lower-density foams exhibited lower stability scores (p < 0.05). Conclusion: The study concludes that both the macrogeometry of zirconia implants and bone density significantly affect primary implant stability. Specifically, tapered implants demonstrated higher stability than cylindrical designs, suggesting that implant macrogeometry and bone density should be considered for optimal primary stability in clinical settings.

STEWART PLATFORM MULTIDIMENSIONAL TRACKING CONTROL SYSTEM SYNTHESIS

Context. Creating guaranteed competitive motion control systems for complex multidimensional moving objects, including unstable ones, that operate under random controlled and uncontrolled disturbing factors, with minimal design costs, is one of the main requirements for achieving success in this class devices market. Additionally, to meet modern demands for the accuracy of motion control processes along a specified or programmed trajectory, it is essential to synthesize an optimal control system based on experimental data obtained under conditions closely approximating the real operating mode of the test object. Objective. The research presented in this article aims to synthesize an optimal tracking control system for the Stewart platform’s working surface motion, taking into account its multidimensional dynamic model. Method. The article employs a method of a multidimensional tracking control system structural transformation into an equivalent stabilization system for the motion of a multidimensional control object. It also utilizes an algorithm for synthesizing optimal stabilization systems for dynamic objects, whether stable or not, under stationary random external disturbances. The justified algorithm for synthesizing optimal stochastic stabilization systems is constructed using operations such as addition and multiplication of polynomial and fractional-rational matrices, Wiener factorization, Wiener separation of fractional-rational matrices, and the calculation of dispersion integrals. Results. As a result of the conducted research, the problem of defining the concept of analytical design for a Stewart platform’s optimal motion control system has been formalized. The results include the derived transformation equations from the tracking control system to the equivalent stabilization system of the Stewart platform’s working surface motion. Furthermore, the structure and parameters of the main controller transfer function matrix for of this control system have been determined. Conclusions. The justified use of the analytical design concept for the Stewart platform’s working surface optimal motion control system formalizes and significantly simplifies the solution to the problem of synthesizing complex dynamic systems, applying the developed technology presented in [1]. The obtained structure and parameters of the Stewart platform’s working surface motion control system main controller, which is divided into three components W1, W2, and W3, improve the tracking quality of the program signal vector, account for the cross-connections within the Stewart platform, and increase the accuracy of executing the specified trajectory by increasing the degrees of freedom in choosing the controller structure

Computational insights into transition metal-based BaCoX3 (X = Cl, Br, I) halide perovskites for spintronics, photovoltaics, and renewable energy devices

Ab-initio simulations using density functional theory (DFT) were employed to investigate the structural, mechanical, electronic, magnetic, optical, and thermoelectric properties of halide perovskites \\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\hbox {BaCoX}_3$$\\end{document} (X = Cl, Br, I). Structural optimization and mechanical stability assessments confirm the reliability of these perovskites in a hexagonal P\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$6_3$$\\end{document}mc symmetry. The stability of the ferromagnetic phase was validated through total crystal energy minimization via Murnaghan’s equation of state. Electronic band structures and density of states, derived from the generalized gradient approximation (GGA), reveal a semiconducting ferromagnetic nature in the spin up channel, spotlighting their potential in semiconductor spintronic applications. Phonon dispersion analysis of \\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\hbox {BaCoCl}_3$$\\end{document} and \\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\hbox {BaCoBr}_3$$\\end{document} revealed positive phonon modes throughout the entire Brillouin zone, confirming their dynamical stability. In contrast, \\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\hbox {BaCoI}_3$$\\end{document} demonstrated dynamical instability. The elastic constants confirm the mechanical stability and ductile nature of the perovskites. Optical and dielectric properties of these perovskites show significant UV absorption and photoconductivity, making them highly suitable for optoelectronic and solar cell applications. Finally, transport properties, such as the Seebeck coefficient, electrical conductivity, thermal conductivity, power factor, and figure of merit (ZT) unveil their exceptional thermoelectric performance. Combining half-metallic ferromagnetic traits with superior thermoelectric and optoelectronic performance positions \\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\hbox {BaCoX}_3$$\\end{document} compounds as exceptional candidates for applications in spintronics, optoelectronics, and thermoelectrics. This comprehensive investigation demonstrates their ability to excel across a diverse array of advanced technological applications.

A Novel French-Style Salad Dressing Based on Pickering Emulsion of Oil-Water Lycopene from Guava and Cellulose Nanofibers

The objective of this research was to assess the potential of a Pickering emulsion based on lycopene extracted from guava by sunflower oil-water and cellulose nanofibers (CNFs) isolated from banana residues as a novel ingredient for a French-style salad dressing. The aim was to determine the impact of this emulsion on the stability and rheological properties of the dressing as well as ascertain the presence of lycopene in the final product. The particle size distribution, rheological properties, and emulsion stability of the Pickering emulsion and salad dressing were evaluated. The sample exhibiting the optimal stability condition contained 0.5 wt.% of CNFs (EPI0.5). In order to prepare the French salad dressing based on this Pickering emulsion, three concentrations of vinegar were analyzed. All samples contained white salt and sugar. The findings suggest that alterations in emulsion stability may be influenced by the vinegar content and the presence of salt, particularly during the storage period, which also affects the concentration of lycopene. Notwithstanding these findings, the untrained panelists expressed a favorable opinion and acceptance of the dressings, indicating that the product could serve as an alternative means of enriching food through the incorporation of beneficial substances such as lycopene.

Online Learning‐Based Event‐Triggered Model Predictive Control With Shrinking Prediction Horizon for Perturbed Nonlinear Systems

ABSTRACTThis article proposes an online learning‐based event‐triggered model predictive control (OLEMPC) scheme for constrained nonlinear systems with state‐dependent uncertainties. The scheme incorporates both the nominal and the learned models to ensure favorable theoretical properties during online learning. A composite measurement‐triggering strategy is devised to reduce the number of state measurements as well as solving the optimization problems. This strategy attenuates the conservatism in measurement and triggering through combining the event‐ and self‐triggering approaches. By implementing the algorithm, both state measurement and triggering frequency further decrease with the online refinement of the prediction model, and the prediction horizon adaptively shrinks as the state approaches the terminal region. It is shown that the feasibility of the optimization problem and stability of the closed‐loop system are guaranteed. Simulation results verify the effectiveness of this scheme in ensuring closed‐loop performance and alleviating computational burden.

PERFORMANCE AND STABILITY FOR GRAIN YIELD AND YIELD COMPONENTS OF SIX-ROW BARLEY CULTIVARS UNDER VARIOUS ENVIRONMENTS IN KURDISTAN REGION-IRAQ

This study was aimed to investigate yield and yield components of barley (Hordeum vulgare L.) under six different environmental conditions E1- E6 including two sowing date S1 and S2 at three location (Qlyasan, Kanipanka, Chamchamal) in KIR using 10 barley cultivars (C), Numar, Rafidain, Al-warka, Al-Amal, IPPA 265, IPPA 99, Arivat (local), Samir, Qalay 1, and Ukraine (Common cultivated). Experiment was applied using to complete randomized blocks design. The stability analysis was done using the linear regression model. The differences between the means were compared through Duncan multiple range test. The results was revealed that the mean sum of squares due to cultivars, environment, and C x E were highly significant for all studied characters. The cultivar Numar which had highest mean grain yield (3.559) th-1, high bi value1.96 and low S2di 0.058) considered optimal yield stability cultivar. The combination C1E3 gave the top grain yielding (6.91 th-1) due to very high GS, high NS and good TGW performances.

Targeting CD5 chimeric antigen receptor-engineered natural killer cells against T-cell malignancies

BackgroundChimeric antigen receptor engineered T cells (CAR-T) have demonstrated promising clinical efficacy in B-cell malignancies, and the approach has been extended to T-cell malignancies. However, the use of allogeneic T cells in CAR therapy poses a challenge due to the risk of graft-versus-host disease. Recently, natural killer (NK) cells have exhibited “off‑the‑shelf” availability. The nanobody-based CAR structures have attracted much attention for their therapeutic potential owing to the advantages of nanobody, including small size, optimal stability, high affinity and manufacturing feasibility. CD5, a common surface marker of malignant T cells, has three scavenger receptor cysteine-rich domains (D1-D3) in the extracellular region. The present study aims to construct “off‑the‑shelf” CAR-NK cells targeting the membrane-proximal domain of CD5 derived from nanobody against T-cell malignancies.MethodsAnti-CD5-D3 nanobody was screened by phage display technology, followed by constructing fourth-generation CAR plasmids ectopically producing IL-15 to generate CD5 CAR-NK cells derived from peripheral blood. And the second-generation CD5 CAR-T cells based on nanobody were generated, referred to as 5D.b CAR-T and 12 C.b CAR-T. Furthermore, CAR-NK cells without IL-15 (IL-15△ CAR-NK) were generated to assess the impact on cytotoxicity of CAR-NK cells. Cytotoxic activity against CD5+ hematologic malignant cell lines and normal T cells was exerted in vitro and NOD/ShiLtJGpt-Prkdcem26Cd52Il2rgem26Cd22/Gpt mouse model transplanted with Jurkat-Luc cells was used to evaluate the antitumor efficacy of CD5 CAR-NK cells in vivo.ResultsTwo nanobodies (5D and 12 C) competed for binding to the epitope of CD5-D3. 12 C CAR-NK cells were superior to 5D CAR-NK cells in antitumor potential and 12 C.b CAR-T cells exhibited superior cytotoxic activity than 5D CAR-T cells ex vivo. So, 12 C was regarded as the optimal nanobody. 12 C CAR-NK cells and IL-15△ CAR-NK cells exhibited robust cytotoxicity against CD5+ malignant cell lines and controlled disease progression in xenograft mouse model. 12 C CAR-NK cells demonstrated greater antitumor activity compared to that of IL-15△ CAR-NK cells in vitro and in vivo.ConclusionsTaken together, the fourth-generation nanobody-derived anti-CD5 CAR-NK cells may be a promising therapeutic against T-cell malignancies.

Optimal Energy Management Systems and Voltage Stabilization of Renewable Energy Networks

This paper addresses the challenge of integrating multiple energy sources into a single-domain microgrid, commonly found in urban buildings, while also providing a platform for energy management. A Lyapunov stability analysis of a simple boost converter was used as a basis for designing the dual control loop of the grid. The versatility of the developed control structure allows for the incorporation of an arbitrary number of sources hence achieving scalability. Next, the energy in the microgrid was separated into exogenous energy and actuator energy. This yielded a description of the system that quantified the condition of stability independent of the decision made by a would-be energy management system. This, in turns, liberates the process of designing an optimized energy management system from stability concerns. The acquired theoretical findings were then translated to a simulation model, where multiple components of the grid were simulated under a typical scenario of operation. Once the simulation phase was concluded, a prototype of the designed grid was constructed to emulate the theoretical results. The prototype exhibited promising performance, matching the simulation predictions to a reasonable degree.

Application of yellow mustard gum‐fenugreek mixed gum in preparation of non‐dairy fat whipping cream

SummaryYellow mustard gum (YMG) and fenugreek gum (FG) are both natural hydrocolloids derived from plant seeds. They showed synergistic effects of increased viscosity upon mixing thus expanding their applications. In this study, a synergistic YMG‐FG (7:3) blend of different total gum concentrations (0%, 0.05%, 0.1%, 0.15%, 0.2% and 0.25%, w/w) was used to develop a whipping cream formula with dairy fat replaced by palm kernel oil. Whipping creams of both liquid emulsion and whipped cream were characterised in terms of particle size, rheological properties, whippability and foam stability, texture and microstructure. The liquid emulsion before whipping showed a shear‐thinning behaviour regardless of the gum concentration. Upon whipping, the overrun of whipped cream decreased while the foam stability increased with increasing gum mixture content. The whipped cream with the addition of gum mixture retained the shape after storing overnight at 22 °C in comparison with two collapsed commercial samples. The whipped cream with 0.1% gum mixture exhibited optimal foam stability and textural properties among all the samples. Overall, the synergistic blend of YMG‐FG can be used as a natural stabiliser in formulating non‐dairy fat whipping cream products to improve foam stability and airy/fluffy texture.

The effect of NaY‐zeolite on mechanical, thermal, and spectroscopic behavior of crosslinked polyvinyl alcohol films

AbstractThe effects of sodium y zeolite (NaY‐zeolite) on crosslinked Polyvinyl alcohol (CrPVA) composite films were investigated. The spectroscopic analysis showed that crosslinks were formed between PVA, Tartaric acid (TA), and NaY‐zeolite particles. The thermal stability of the CrPVA film was improved with the addition of zeolite. Optimum thermal stability was observed for 5 wt % zeolite content. It can be seen that the mechanical properties also improved for 5 wt % zeolite‐doped CrPVA composite films when compared with CrPVA. It was observed that Young's modulus increased 54.14 to 74.49 MPa. While the degree of crystallinity of the composite film decreased from 20.42 to 14.77% due to zeolite content. This is thought to be due to the increase in the structure's crosslinking rate. The utilization of TA and NaY zeolite in membrane applications may be considered an advantage for improving the mechanical characteristics and the recyclability of membrane technology.

Multi-Strategy Bald Eagle Search Algorithm Embedded Orthogonal Learning for Wireless Sensor Network (WSN) Coverage Optimization

Coverage control is a fundamental and critical issue in plentiful wireless sensor network (WSN) applications. Aiming at the high-dimensional optimization problem of sensor node deployment and the complexity of the monitoring area, an orthogonal learning multi-strategy bald eagle search (OLMBES) algorithm is proposed to optimize the location deployment of sensor nodes. This paper incorporates three kinds of strategies into the bald eagle search (BES) algorithm, including Lévy flight, quasi-reflection-based learning, and quadratic interpolation, which enhances the global exploration ability of the algorithm and accelerates the convergence speed. Furthermore, orthogonal learning is integrated into BES to improve the algorithm’s robustness and premature convergence problem. By this way, population search information is fully utilized to generate a more superior position guidance vector, which helps the algorithm jump out of the local optimal solution. Simulation results on CEC2014 benchmark functions reveal that the optimization performance of the proposed approach is better than that of the existing method. On the WSN coverage optimization problem, the proposed method has greater network coverage ratio, node uniformity, and stronger optimization stability when compared to other state-of-the-art algorithms.

Construction and Evaluation of pH‐Responsive Nitrogen‐Containing Metal–Organic Frameworks as Oral Drug Carriers

ABSTRACTMetal–organic framework (MOF) is a porous material composed of metal ions/clusters and organic ligands. It has attracted much attention due to its high specific surface area, good biocompatibility, chemical modifiability, and diversity of components. Among many MOFs, zirconium‐based MOFs are particularly suitable for biological applications due to their optimal stability and low toxicity to hydrolysis. However, due to the weak coordination bonds between many metal clusters and organic ligands, most MOFs are prone to collapse in acidic environments, and the stability of MOFs as drug carriers cannot be guaranteed so that they cannot be widely used as oral drug carriers. This study synthesized the three MOFs using metal Zr ion clusters as the center and different nitrogen‐containing organic ligands, which are stable in gastric acid, namely, UiO‐66‐PDC, UiO‐66‐NH2, and UiO‐66‐NO2. The anionic drug loxoprofen (LOX) was loaded and characterized using scanning electron microscopy, infrared spectroscopy, thermogravimetric analysis, differential scanning calorimetry, and x‐ray diffraction. The adsorption and release behaviors of LOX and the three MOFs were studied from the molecular point of view by computer simulation. A series of behaviors and mechanisms of pH‐responsive nitrogen‐containing MOFs as oral drug carriers were further explored through rat pharmacokinetic experiments, the everted gut sac experiments, and intestinal absorption mechanism experiments. The experimental results show that there is a strong electrostatic interaction between anionic drug LOX and UiO‐66‐PDC under simulated gastric acid environment, which prolongs the half‐life of the drug, proving that LOX@UiO‐66‐PDC is a promising new oral drug delivery system.

Optimization of extraction process of polysaccharide from Phylloporia fontanesiae and its simulated digestion in vitro.

In this study, Phylloporia fontanesiae polysaccharide was successfully isolated through a sequential water extraction and alcohol precipitation process. Utilizing the Box-Behnken design, the extraction process was optimized based on single-factor experiments, considering variables such as the material-to-liquid ratio, extraction temperature, extraction time, and the number of extractions. The polysaccharide composition of P. fontanesiae is predominantly composed of mannose, glucuronic acid, glucose, and galactose, with a molar mass ratio of 4.31:4.10:36.83:1, along with minor amounts of aminoglucose and fucose. The polysaccharide fraction of P. fontanesiae comprises two distinct components, possessing relative molecular masses of 8.85kDa and 134.03kDa. Notably, the polysaccharide exhibited significant antioxidant activity. After undergoing simulated gastrointestinal digestion, no significant changes were observed in its antioxidant activity, molecular weight, or monosaccharide composition. This study not only enhanced the extraction efficiency of P. fontanesiae polysaccharide but also provided valuable insights into its composition, structure, and digestion characteristics. PRACTICAL APPLICATION: The optimum extraction process, stability, and antioxidant activity of Phylloporia fontanesiae polysaccharide during simulated digestion of gastrointestinal tract were studied. The results provide a theoretical basis for the development and application of this polysaccharide in the field of food and health products.

Application of Spectrogel clay as a support for immobilization of lipase from Burkholderia cepacia

AbstractThe interest in maximizing the production of ethyl esters in a sustainable way and with lower energy costs has increased the use of immobilized enzymes as catalysts. This study aimed to apply the commercial clay Spectrogel® as a support for the immobilization of lipase from Burkholderia cepacia by adsorption and covalent bonding methods. The immobilizations were carried out using a 23 factorial design to study the effects of the activity offered (U g−1), pH, and the molar concentration of the enzyme solution buffer (mol L−1) on the enzyme activity obtained (U g−1). From the statistical analysis of the results, the best conditions for immobilization were pH 7.0 and 0.1 mol L−1 for both tested immobilization methods, with the best offered activity being 5709 and 7600 U g−1. The activities obtained were 1219.81 ± 7.51 and 1274.89 ± 14.99 U g−1 for adsorption and covalent bonding, respectively. The biocatalysts exhibited protein leaching of 33.55 ± 1.08% and 19.44 ± 2.43% when immobilized by adsorption and covalent bonding, respectively. The optimal activity temperature and thermal stability were obtained at 40°C. Additionally, the immobilization of lipase in Spectrogel® by both methods was efficient, showing higher thermal stability than the free enzyme. Thus, this work contributed scientifically to the development of a new and economical biocatalyst for ethyl ester production.

Development of Novel Cardanol-Derived Reactive Dispersing Agents for Bio-Based Anionic–Nonionic Waterborne Polyurethane

This study successfully developed a bio-based, photocurable, anionic–nonionic dual-functional chain extender, and sulfonated cardanol-based polyethylene glycol (SCP), derived from renewable resources—cardanol and polyethylene glycol—for application in waterborne polyurethane dispersions (WPUDs). Utilizing SCP as a chain extender, WPUDs were prepared through a typical acetone process with poly(butylene adipate) (PBA), isophorone diisocyanate (IPDI), and ethylene diamine (EDA) at a constant NCO/OH ratio of 1:1. This research focused on the effects of polyethylene glycol molecular weight and SCP dosage on the particle size, stability, and film-forming properties of the WPUD. Optimal dispersion stability and film-forming performance were achieved with a polyethylene glycol molecular weight of 1500 and a PBA to SCP molar ratio of 4:1, yielding a particle size of 0.326 ± 0.010 μm and excellent storage stability over six months. The resulting WPU coatings exhibited a tensile strength of 11.4 MPa, which increased to 16.8 MPa after UV irradiation owing to the formation of a semi-interpenetrating network via the photopolymerization of cardanol’s unsaturated side chains. UV cross-linking also enhanced water resistance, reducing the water absorption rate (WAR) from 18.68% to 4.21% and the water vapor transmission rate (WVTR) from 6.59 × 10−5 g·m⁻¹·Pa⁻¹·d⁻¹ to 2.26 × 10⁻⁵ g·m⁻¹·Pa⁻¹·d⁻¹, while also improving thermal stability. These findings demonstrate that SCP offers a sustainable and effective solution for developing high-performance WPU coatings.

Multifunctional nanomaterials composed entirely of active pharmaceutical ingredients for synergistically enhanced antitumor and antibacterial effects.

Multifunctional nanomaterials are emerging as promising tools for treating both cancer and bacterial infections. However, integrating dual therapeutic capabilities into a single system remains challenging. This study presents multifunctional nanoparticles (ECI-NPs) based on Epigallocatechin gallate (EGCG) oligomers, Curcumin (CUR), and Indocyanine Green (ICG) for combined cancer and bacterial treatment. ECI-NPs were synthesized via oxidative coupling of EGCG, CUR, and ICG. The nanoparticles were characterized for stability, size, drug loading, and release profiles. Cellular uptake, phototoxicity in melanoma cells, and antibacterial activity against Escherichia coli and Staphylococcus aureus were also evaluated. ECI-NPs demonstrated optimal stability, high drug loading, and controlled release. Cellular studies showed increased uptake and greater phototoxicity in melanoma cells compared to free drugs. ECI-NPs also exhibited enhanced anticancer effects and strong antibacterial activity, outperforming the individual components. The polyphenol-based ECI-NPs offer synergistic therapeutic effects, overcoming the limitations of free drugs in terms of solubility and efficacy. This dual-function platform shows potential for broader biomedical applications, addressing challenges in cancer and bacterial infections. Further research will focus on in vivo studies and clinical translation.

Optimizing Transformation-Induced Plasticity to Resist Microvoid Softening

AbstractMany high-performance steels that are critical for energy-efficient, lightweight designs rely on transformation-induced plasticity (TRIP) to achieve superior combinations of strength and ductility/toughness. Further development of these alloys will require greater optimization of the metastable (retained) austenite phase responsible for TRIP. Considering the complex nature of TRIP and its effects on ductile fracture, an integrated computational materials engineering (ICME) approach to materials optimization is desired. In this work, we report the results of a large series of micromechanical finite element calculations that probe the interaction of TRIP and void-mediated ductile fracture mechanisms. The simulations identify the optimal austenite stability for maximizing the benefit of TRIP across a wide range of stress states. The applied stress triaxiality significantly influences the microvoid growth rate and the computationally determined optimal stability. The simulation results are compared with existing experimental data, demonstrating good agreement.

Durum wheat oil oleogels: A study on rheological, thermal, and microstructural properties

Durum wheat oil (WO) is a by-product obtained during wheat milling process characterized by higher amount of bioactive compounds. In recent years, oleogelification, a novel technique to structure oils was developed to replace saturated and trans fats. The aim of this study was to evaluate the performances of WO to obtain stable oleogels using two natural waxes (beeswax BW and carnauba wax CW) at different ratio (4, 7 and 8 %, w/w) respect to sunflower oil (SO) used as control. Oleogels were analyzed for fundamental rheological properties, microstructure and oil loss. Results showed as a concentration below 7 %, weak networks were observed for all samples because the predominance of viscous moduli (G’’) over elastic ones (G’) and high oil loss. Nevertheless at 8 % of waxes, stability in terms of all analyzed parameters was highlighted for all samples (WO_BW showed the lowest). Moreover, WO samples with 7 % and 8 % of CW displayed very high stability in terms of all considered parameters, also at high temperatures, showing strong networks and reaching the optimum solid-like gel without significant differences respect to SO one. Obtained results highlighted the WO ability to be employed, as alternative to SO to develop oleogels with optimal performances and stability.

NTK-Guided Few-Shot Class Incremental Learning.

The proliferation of Few-Shot Class Incremental Learning (FSCIL) methodologies has highlighted the critical challenge of maintaining robust anti-amnesia capabilities in FSCIL learners. In this paper, we present a novel conceptualization of anti-amnesia in terms of mathematical generalization, leveraging the Neural Tangent Kernel (NTK) perspective. Our method focuses on two key aspects: ensuring optimal NTK convergence and minimizing NTK-related generalization loss, which serve as the theoretical foundation for cross-task generalization. To achieve global NTK convergence, we introduce a principled meta-learning mechanism that guides optimization within an expanded network architecture. Concurrently, to reduce the NTK-related generalization loss, we systematically optimize its constituent factors. Specifically, we initiate self-supervised pre-training on the base session to enhance NTK-related generalization potential. These self-supervised weights are then carefully refined through curricular alignment, followed by the application of dual NTK regularization tailored specifically for both convolutional and linear layers. Through the combined effects of these measures, our network acquires robust NTK properties, ensuring optimal convergence and stability of the NTK matrix and minimizing the NTK-related generalization loss, significantly enhancing its theoretical generalization. On popular FSCIL benchmark datasets, our NTK-FSCIL surpasses contemporary state-of-the-art approaches, elevating end-session accuracy by 2.9% to 9.3%.