Dispersal Rates Research Articles

An interactive patient transfer network and model visualization tool for multidrug-resistant organism prevention strategies

Background: The CDC’s new Public Health Strategies to Prevent the Spread of Novel and Targeted Multidrug-Resistant Organisms (MDROs) were informed by mathematical models that assessed the impact of implementing preventive strategies directed at a subset of healthcare facilities characterized as influential or highly connected based on their predicted role in the regional spread of MDROs. We developed an interactive tool to communicate mathematical modeling results and visualize the regional patient transfer network for public health departments and healthcare facilities to assist in planning and implementing prevention strategies. Methods: An interactive RShiny application is currently hosted in the CDC network and is accessible to external partners through the Secure Access Management Services (SAMS). Patient transfer volumes (direct and indirect, that is, with up to 30 days in the community between admissions) were estimated from the CMS fee-for-service claims data from 2019. The spread of a carbapenem-resistant Enterobacterales (CRE)–like MDROs within a US state was simulated using a deterministic model with susceptible and infectious compartments in the community and healthcare facilities interconnected through patient transfers. Individuals determined to be infectious through admission screening, point-prevalence surveys (PPSs), or notified from interfacility communication were assigned lower transmissibility if enhanced infection prevention and control practices were in place at a facility. Results: The application consists of 4 interactive tabs. Users can visualize the statewide patient-sharing network for any US state and select territories in the first tab (Fig. 1). A feature allows users to highlight a facility of interest and display downstream or upstream facilities that received or sent transfers from the facility of interest, respectively. A second tab lists influential facilities to aid in prioritizing screening and prevention activities. A third tab lists all facilities in the state in descending order of their dispersal rate (ie, the rate at which patients are shared downstream to other facilities), which can help identify highly connected facilities. In the fourth tab, an interactive graph displays the predicted reduction of MDRO prevalence given a range of intervention scenarios (Fig. 2). Conclusions: Our RShiny application, which can be accessed by public health partners, can assist healthcare facilities and public health departments in planning and tailoring MDRO prevention activity bundles.Disclosures: None

Dynamics and calculation of the basic reproduction number for a nonlocal dispersal epidemic model with air pollution.

In order to reflect the dispersal of pollutants in non-adjacent areas and the large-scale movement of individuals, this paper proposes an epidemic model of nonlocal dispersal with air pollution, where the transmission rate is related to the concentration of pollutants. This paper checks the uniqueness and existence of the global positive solution and defines the basic reproduction number, . We simultaneously explore the global dynamics: when , the disease-free stable point is global asymptotic stability; when , the disease is uniformly persistent. Additionally, in order to approximate , a numerical method has been introduced. Illustrative examples are used to verify the theoretical outcomes and show the effect of the dispersal rate on the basic reproduction number .

Physical and chemical properties of PM1 in Delhi: A comparison between clean and polluted days

Considering the significance of PM1 aerosol in assessing health impacts of air pollution, an extensive analysis of PM1 samples collected at an urban site in Delhi is presented in this study. Overall, PM1 contributed to about 50 % of PM2.5 mass which is alarming especially in Delhi where particle mass loadings are usually higher than prescribed limits. Major portion of PM1 consisted of organic matter (OM) that formed nearly 47 % of PM1 mass. Elemental carbon (EC) contributed to about 13 % of PM1 mass, whereas SO42− (16 %), NH4+ (10 %), NO3− (4 %) and Cl− (3 %) were the major inorganic ions present. Sampling was performed in two distinctive campaign periods (in terms of meteorological conditions and heating (fire) activities), during the year 2019, each spanning two-week time, i.e. (i) September 3rd-16th (clean days), and (ii) November 22nd-December 5th (polluted days). Additionally, PM2.5 and black carbon (BC) were measured simultaneously for subsequent analysis. The 24-h averaged mean concentrations of PM2.5 and BC during clean days (polluted days) were 70.6 ± 26.9 and 3.9 ± 1.0 μg m−3 (196 ± 104 and 7.6 ± 4.1 μg m−3), respectively, which were systematically lower (higher) than that of the annual mean (taken from studies conducted at same site in 2019) of 142 and 5.7 μg m−3, respectively. Changes in characteristic ratios (i.e., organic carbon (OC)/elemental carbon (EC) and K+/EC) of chemical species detected in PM1 show an increase in biomass emissions during polluted days. Increase in biomass emission can be attributed to increase in heating practices (burning of biofuels such as wood logs, straw, and cow-dung cake) in- and around- Delhi because of fall in temperature during second campaign. Furthermore, a significant increase in NO3− fraction of PM1 is observed during second campaign which shows fog processing of NOX due to conducive meteorological conditions in winters. Also, comparatively stronger correlation of NO3− with K+ during second campaign (r = 0.98 as compared to r = 0.5 during first campaign) suggests the increased heating practices to be a contributing factor for increased fraction of NO3− in PM1. We observed that during polluted days, meteorological parameters such as dispersion rate also played a major role in intensifying the impact of increased local emissions due to heating activities. Apart from this, change in the direction of regional emission transport to study site and the topology of Delhi are the possible reasons for the elevated pollution level, especially PM1 during winter in Delhi. This study also suggests that black carbon measurement techniques used in current study (optical absorbance with heated inlet and evolved carbon techniques) can be used as reference techniques to determine the site-specific calibration constant of optical photometers for urban aerosol.

Propagation dynamics of nonlocal dispersal monostable equations in time-space periodic habitats

This paper is concerned with the propagation dynamics of nonlocal dispersal monostable equations in time-space periodic habitats. We first show that such an equation admits a single spreading speed in every direction under certain conditions and then give several spreading properties in terms of spreading speeds such as asymptotic spreading ray speeds and asymptotic spreading sets. Furthermore, we consider the dependence of the spreading speed on the dispersal rate and reaction term and prove that taking the temporal average or spatial average can decrease the spreading speed. Finally, we employ the viscosity vanishing method to establish the existence of time-space periodic traveling fronts with the critical speed in every direction under the partially temporally homogeneous case and partially nearly flat case, which solves partially the open problem raised by Rawal, Shen, and Zhang (Discrete Contin. Dyn. Syst.35 (2015) 1609–1640).

Disentangling the spread dynamics of insect invasions using spatial networks

IntroductionDescribing and understanding spatiotemporal spread patterns in invasive species remains a long-standing interdisciplinary research goal. Here we show how a network-based top-down approach allows the efficient description of the ongoing invasion byDrosophila suzukiiin Chile.MethodsTo do so, we apply theoretical graph methods to calculate the minimum cost arborescence graph (MCA) to reconstruct and understand the invasion dynamics ofD. suzukiisince the first detection in 2017. This method estimates a directed rooted weighted graph by minimizing the total length of the resulting graph. To describe the temporal pattern of spread, we estimate three metrics of spread: the median dispersal rate, the median coefficient of diffusion, and the median dispersal acceleration.ResultsThe estimated MCA shows that over four years,D. suzukiicolonized a ~1,000km long strip in the central valley of Chile, with an initial phase with long paths and connections and no clear direction pattern, followed by a clearer north–east propagation pattern. The median dispersal rate for the entire period was 8.8 (7.4–10.6, 95% CI), while the median diffusion coefficient was 19.6 meters2/day (13.6–27.9, 95% CI). The observed spread dynamics and the log-normal distribution of accelerations are consistent with long-distance dispersal events.DiscussionThe complexities of real landscapes cannot be summarized in any model, but this study shows how an alternative top-down approach based on graph theory can facilitate the ecological analysis of the spread of an invasive species in a new territory.

Modelling the invasion dynamics of the African citrus psyllid: The role of human-mediated dispersal and urban and peri-urban citrus trees

The African citrus psyllid, Trioza erytreae (Del Guercio) (Hemiptera, Triozidae), is native to tropical Africa and invasive species in North America and Europe. The main host plants are citrus, displaying a preference for lemon trees. This psyllid was recently detected in the northwest region of the Iberian Peninsula, both in Spain and Portugal. Here, we used a model combining a reaction-diffusion model to a stochastic long-distance dispersal model to simulate the invasion dynamics of T. erytreae in Portugal. The psyllid spread in Portugal was simulated between 2015 and 2021 for different combinations of model parameters: two fecundity levels; spread with and without stochastic long-distance dispersal; single or two introductions of T. erytreae; and considering or not the urban and peri-urban citrus trees, besides citrus orchards, estimated using Google Street view imagery. The incorporation of long-distance human mediated dispersal significantly improved the F1-score in the model validation using the official reports as the observed data. Concomitantly, the dispersal rate of T. erytreae in Portugal was on average about 66 km/year, whereas removing long-distance dispersal events, the observed mean was 7.8 ± 0.3 km/year. The dispersal was mainly towards the south along the coastline, where human population is concentrated. The inclusion of the estimated citrus trees outside orchards areas significantly increased the F1-score in the model validation, revealing the importance these isolated host plants hold as stepping stones for the species current invasion and possibly for other species alike.

Enhanced anti-cancer effect of artemisinin- and curcumin-loaded niosomal nanoparticles against human colon cancer cells.

Colorectal cancer (CRC) is the third broadly identified cancer in the world. The ineffectiveness of colorectal cancer treatment is redundantly reported. Natural bioactive compounds have gained popularity in reducing the drawback of conventional anti-cancer agents. Curcumin (Cur) and Artemisinin (Art) are materials of a natural source that have been utilized to treat numerous kinds of cancers. Although the benefits of bioactive materials, their utilization is limited because of poor solubility, bioavailability, and low dispersion rate in aqueous media. Nano delivery system such as niosome can improve the bioavailability and stability of bioactive compounds within the drug. In current work, we used Cur-Art co-loaded niosomal nanoparticles (Cur-Art NioNPs) as an anti-tumor factor versus colorectal cancer cell line. The synthesized formulations were characterized using dynamic light scattering, scanning electron microscopy, and FTIR. The proliferation ability of the cells and expression of apoptosis-associated gene were MTT assay and qRT-PCR, respectively. Cur-Art NioNPs exhibited well distributed with an encapsulation efficiency of 80.27% and 85.5% for Cur and Art. The NioNPs had good release and degradation properties, and had no negative effect on the survival and proliferation ability of SW480 cells. Importantly, nanoformulation form of Cur and Art significantly displayed higher toxicity effect against SW480 cells. Furthermore, Cur-Art NioNPs increased Bax, Fas, and p53 gene expressions and suppressed Bcl2, Rb, and Cyclin D 1 gene expressions. In summary, these results display the niosome NPs as a first report of nano-combinational application of the natural herbal substances with a one-step fabricated co-delivery system for effective colorectal cancer.

Transcriptome analysis of anorexic and preferred silkworms (Bombyx mori) on artificial diet

The silkworm, Bombyx mori, is an important oligophagous economic insect and feeding habits of different silkworm varieties to artificial diet are different. Research on the mechanisms of feeding habits on artificial diet, and breeding of silkworm varieties adapted on artificial diet, which is a necessary condition for industrial silkworm rearing, is currently lacking. For an artificial diet, Xin was anorexic, whereas Haoyue A showed a strong appetite. When the two varieties were crossed, the F1 generation showed a poor appetite for the artificial diet and had a setae dispersion rate of <50 %. However, the F2 generation, self-bred progeny of F1, had a good appetite for the artificial diet, with a setae dispersion rate of 70 %. Herein, transcriptome analysis was conducted on the F2 generation, comparing individuals with anorexic and preferred feeding habits, and 2188 differential genes were identified, with 1524 genes up-regulated and 934 genes down-regulated. Several genes were identified to contribute to feeding habits, such as genes involved olfactory system, energy supply, and cell proliferation and differentiation. GO enrichment revealed a large number of DEGs related to behavior, growth, signaling, developmental process, response to stimulation, and other pathways. Furthermore, proteins closely related to feeding were expressed differently. Some DEGs were selected for qRT-PCR, and results indicated the reliability of the DEG results. The DEGs between individuals with anorexic and preferred feeding habits were screened by RNA-Seq technology, which provides a reliable reference to study molecule mechanisms of feeding habits on artificial diet.

The Correlation between QRS Dispersion and Coronary Artery Disease Severity in Patients with Non ST Elevation Myocardial Infraction

Non ST elevation myocardial infarction (NSTEMI) has been the subject of numerous studies. Risk stratification is a fundamental element for the management of NSTEMI; therefore, several scores have been established in this direction, particularly prognostic markers derived from the ECG.&#x0D; Aims: The aim of our study is to correlate the dispersion of the QRS with the severity of coronary lesions assessed by the GENSINI score in patients admitted for NSTEMI at the University Hospital of Marrakech.&#x0D; Methods: A retrospective study was conducted in the cardiology department of Mohammed VI university hospital of Marrakech from January 01, 2022 to March 31, 2022. Data was derived from the hospitalization register, including 30 patients (16 women and 14 men). Age ranged from 56 to 74 years with an average of 64.6 ± 9.3. Data was analyzed by SPSS, the level of significance set at p &lt;0.05.&#x0D; Results: We found, in our study, a highly significant positive correlation between QRS dispersion (considered important if &gt;20 ms) and admission heart rate (p=0.003) as well as the level of ultrasensitive troponins (p=0.003). There is also a very significant correlation between QRS dispersion and corrected QT interval (p=0.005), Moreover, we concluded that in patients admitted for NSTEMI, the greater the dispersion of the QRS, the higher the score of GENSINI (p&lt;0.0001).&#x0D; Conclusion: The dispersion of the QRS is a simple marker on the ECG that can have a predictive value in different clinical contexts, particularly in acute ischemic heart disease. Further studies are needed, however, to validate its usefulness in routine practice.

Study of the effect of silicate fillers on the structural and rheological properties of acrylic dispersions

This work reports the rheological properties of an acrylic aqueous dispersion filled with hollow aluminosilicate microspheres and highly dispersed amorphous silicon dioxide studied by using rotational viscometry. It was established that an increase in the degree of filling with hollow microspheres leads to a significant increase in the viscosity of the aqueous dispersion, which results in technological difficulties when applying coatings to the surface. The introduction of a small amount of silicon dioxide additive leads to a decrease in the structural strength and effective viscosity of the aqueous dispersion of the acrylic copolymer, which allows significantly reducing the viscosity and regulating the rheological characteristics of highly filled systems, which is decisive in the technology of their application. The combination of such fillers as silicon dioxide and hollow aluminosilicate microspheres in an aqueous dispersion of an acrylic copolymer allows simultaneously reaching a number of positive phenomena: a reduction in the viscosity of the material during application (without dilution) due to the use of high shear rates and an increase in the rate of dispersion structuring after application, and also allows achieving sedimentation resistance during storage and transportation.

Dynamics of a diffusion epidemic SIRI system in heterogeneous environment.

This paper studies the dynamical behaviors of a diffusion epidemic SIRI system with distinct dispersal rates. The overall solution of the system is derived by using theory and the Young's inequality. The uniformly boundedness of the solution is obtained for the system. The asymptotic smoothness of the semi-flow and the existence of the global attractor are discussed. Moreover, the basic reproduction number is defined in a spatially uniform environment and the threshold dynamical behaviors are obtained for extinction or continuous persistence of disease. When the spread rate of the susceptible individuals or the infected individuals is close to zero, the asymptotic profiles of the system are studied. This can help us to better understand the dynamic characteristics of the model in a bounded space domain with zero flux boundary conditions.

Evaluation of the operating parameters impact on hydrodynamic parameters of horizontal pulsed sieve-plate column using response surface methodology

The uranium extraction process from leach liquor solution of Bandar Abbas ore with Alamine 336 in a horizontal pulsed sieve-plate column has been evaluated numerically. In this study; Alamine 336 with a concentration of 0.125 mol L−1, isodecanol with a concentration of 5% (v/v), and kerosene were used as the organic phase. The aqueous phase was a leach liquor solution containing 0.25 g L−1 uranium and 0.22 mol L−1 sulfate. In this study, the response surface methodology (RSM) was used to investigate the effect of three effective operating parameters in the pulsed column as pulse intensity and the continuous and dispersed phases flow rates on the hydrodynamic parameters such as dispersed phase holdup, slip and characteristics velocities. The obtained results show that the hydrodynamic parameters are strongly dependent on the pulse intensity and turbulence degree of the system. In addition, three new practical correlations based on operating parameters of a column are presented to predict the dispersed phase holdup, slip, and characteristics velocities by the RSM. The correlations presented by the response surface method showed a good prediction of the experimental data with a maximum R2 value of 0.98.

Femtosecond Frequency Combs with Few‐kHz Passive Stability over an Ultrabroadband Spectral Range

AbstractFemtosecond frequency combs are among the most precise measurement tools in existence. They have applications ranging from high‐precision spectroscopy and metrology to time‐domain quantum physics. Maximizing the passive stability of these instruments is essential to achieve their full potential in fundamental science and high‐tech industry. However, the noise mechanisms across the entire operating space of these devices have not been fully characterized. Here the noise properties of fiber‐based frequency combs are studied as a function of intracavity dispersion, pump power, and repetition rate. Distinct minima are discovered in this parameter space where the free‐running linewidth of the carrier‐envelope offset (CEO) frequency fCEO drops below 1 kHz. The individual comb lines are analyzed spread over a wide spectral range producing a complete understanding of the particular contributions to the phase noise and their interplay. Exploiting these findings, combs featuring sharp teeth at specific frequency positions and over the entire spectrum from fCEO to 300 THz are demonstrated. The ultrabroadband stability offered by these compact systems provides a new level of quality for front‐end measurement tasks in both time and frequency domains.

The role of the spatial topology in trophic metacommunities: Species with reduced mobility and total population size

A central question in ecology is understanding the influence of the spatial topology on the dynamics of a metacommunity. This is not an easy task, as most fragmented ecosystems have trophic interactions involving many species and patches. Recent attempts to solve this challenge have introduced certain simplifying assumptions or focused on a limited set of examples. These simplifications make the models mathematically tractable but keep away from real-world problems. In this paper, we provide a novel methodology to describe the influence of the spatial topology on the total population size of the species when the dispersal rates are small. The main conclusion is that the influence of the spatial topology is the result of the influence of each path in isolation. Here, a path refers to a pairwise connection between two patches. Our framework can be readily used with any metacommunity, and therefore represents a unification of biological insights. We also discuss several applications regarding the construction of ecological corridors.

Antidiabetic effect of Commelina benghalensis leaf extracts-An in vitro study

The in vitro anti-diabetic effect of a methanolic extract of C. benghalensis was examined through suppression of enzymes that break down carbohydrates. Compared to the common enzyme inhibitor Acarbose, the crude extracts of C. benghalensis both α -glucosidase and α -amylase were severely inhibited. The anti-diabetic efficacy was discovered to rely on concentration and the anti-hyperglycemic activity was shown by the inhibition of glucose movement and enhanced glucose diffusion. From 30 to 180 minutes, the rate of glucose dispersion across the membrane increased. In light of the results, C. benghalensis considerably decreased postprandial hyperglycemia by inhibiting the flow of glucose and the enzymes that break down carbohydrates.

BTEX and PAH contributions to Lake Kinneret water: a seasonal-based study of volatile and semi-volatile anthropogenic pollutants in freshwater sources.

Benzene , toluene, ethylbenzene, and xylenes (BTEX) BTEX molecules are toxic components, ubiquitous in the environment, often found in concentrations- a few orders of magnitude higher than the well-studied PAHs levels. This fact is demonstrated in either crude oil, fuels, water, and air samples. BTEX studies focus mainly on the airborne levels of these molecules, while their waterborne presence is understudied. In this study, BTEX levels were assessed at Lake Kinneret, Israel. As a result, 0-1.5ppb of BTEX was recorded in five stations (2021-2022). Elevated BTEX levels (3-10ppb) were recorded at the northern rivers nourishing this lake, implying the existence of remote polluting sources. Transect air samplings of BTEX conducted at the lake next to the bathing season of 2021 revealed airborne BTEX levels between 0.8 and 10µg/m3, peaking up close to the bathing season, yet inconsistent with the BTEX water level trend. Lake water samples collected next to Tiberias city outfalls following the "Carmel" rainstorm showed elevated concentrations of BTEX up to 35ppb and PAHs up to 0.47ppb with an urban isotopic signal. The remote station's PAHs levels were less than one order of magnitude, with a distinct rural isotopic signal. Additionally, a human-specific microbial marker revealed increased sewer contributions at some of theurbansites. The results of this study show that a wide area dispersion of low atmospheric BTEX levels exists in the lake's perimeter. The dispersion rate is most likely influenced by season-based factors, e.g., motors and biomass fires. The unstudied waterborneBTEX levels in this lake are influenced by rivers, city runoff, and other yet unknown factors that may contribute to the sedimentation of these components. This process may result in a chronic pollution state. Despite the BTEX's medium-low solubility and high volatility, its under-evaluated waterborne transportation may lead to high toxic levels following bioaccumulation.

Transitions and its indicators in mutualistic meta-networks: effects of network topology, size of metacommunities and species dispersal

Gradual changes in the environment could cause dynamical ecological networks to suddenly shift from one state to an alternative state. When this happens ecosystem functions and services provided by ecological networks get disrupted. We, however, know very little about how the topology of such interaction networks can play a role in the transition of ecological networks when spatial interactions come into play. In the event of such unwanted transitions, little is known about how statistical metrics used to inform such impending transitions, measured at the species-level or at the community-level could relate to network architecture and the size of the metacommunity. Here, using hundred and one empirical plant-pollinator networks in a spatial setting, I evaluated the impact of network topology and spatial scale of species interactions on transitions, and on statistical metrics used as predictors to forecast such transitions. Using generalized Lotka-Volterra equations in a meta-network framework, I show that species dispersal rate and the size of the metacommunity can impact when a transition can occur. In addition, forecasting such unwanted transitions of meta-networks using statistical metrics of instability was also consequently dependent on the topology of the network, species dispersal rate, and the size of the metacommunity. The results indicated that the plant-pollinator meta-networks that could exhibit stronger statistical signals before collapse than others were dependent on their network architecture and on the spatial scale of species interactions.

Methods to minimise effective public dose in the event of an accident at a fusion power plant

An investigation was conducted into minimising effective dose to members of the public in the unlikely event of an accident by optimising design parameters and site locations of future fusion power plants. This is part of the defence in depth approach for tritium safety that also includes significant work on the prevention of accidents. Calculations were performed using Atmospheric Dispersion Modelling System (ADMS 5), a validated software package that models plume dispersion with inputs including buildings, stack height, terrain topography and meteorological data. To decrease the effective dose to on-site workers and the public, stack height, release duration and site boundary should be maximised. The minimum recommended stack height and site boundary distance are 60 m and 250 m, respectively. It was also found that very unstable weather conditions that cause enhanced vertical mixing, Pasquill-Gifford Stability Class A, minimise effective dose to members of the public. The impact of these changes on effective doses are demonstrated quantitatively. Analysis of tritium dispersion and dose rates provides upper bounds on releasable tritium inventories that can be stored on site. It is envisaged that future fusion power plants such as DEMO can use this information when designing and choosing a location for their site.

Global structure of a food chain model with a single mutation in chemostat

In this paper we study a food chain system with four reaction–diffusion equations arising from competition of two predators with a single mutation for a single prey in an unstirred chemostat. Due to the introduction of mutation and death of predators, the conservation principle for a standard chemostat model does not hold. In order to better explore the mutation of species we assume that the initial condition for mutant species is zero throughout this paper. We firstly investigate the uniform persistence of such system by the persistence theory. When the reverse rate of mutant species is zero, we study the structure and stability of nonnegative equilibria of the food chain system. The results show that the coexistence occur with small diffusion and small reverse rate of mutant species. Biologically speaking, it implies that small diffusion and small reverse rate of mutant species are sufficiently effective in the survival of mutant species. Finally, our numerical results verified our theoretical results and showed that the mutant species can survive when it has smaller random dispersal rate than the wild-type species.

Synthesis and Biological Activity Evaluations of Green ZnO-Decorated Acid-Activated Bentonite-Mediated Curcumin Extract (ZnO@CU/BE) as Antioxidant and Antidiabetic Agents

Green ZnO-decorated acid-activated bentonite-mediated curcumin extract (ZnO@CU/BE) was prepared as a multifunctional antioxidant and antidiabetic agent based on the extract of curcumin, which was used as a reducing and capping reagent. ZnO@CU/BE showed notably enhanced antioxidant properties against nitric oxide (88.6 ± 1.58%), 1,1-diphenyl-2-picrylhydrazil (90.2 ± 1.76%), 2,2'-azino-bis(3-ethylbenzothiazoline-6-sulphonic acid (87.3 ± 1.61%), and superoxide (39.5 ± 1.12%) radicals. These percentages are higher than the reported values of ascorbic acid as a standard and the integrated components of the structure (CU, BE/CU, and ZnO). This signifies the impact of the bentonite substrate on enhancing the solubility, stability, dispersion, and release rate of the intercalated curcumin-based phytochemicals, in addition to enhancing the exposure interface of ZnO nanoparticles. Therefore, effective antidiabetic properties were observed, with significant inhibition effects on porcine pancreatic α-amylase (76.8 ± 1.87%), murine pancreatic α-amylase (56.5 ± 1.67%), pancreatic α-glucosidase (96.5 ± 1.07%), murine intestinal α-glucosidase (92.5 ± 1.10%), and amyloglucosidase (93.7 ± 1.55%) enzymes. These values are higher than those determined using commercial miglitol and are close to the values measured using acarbose. Hence, the structure can be applied as an antioxidant and antidiabetic agent.