Optimal Range Research Articles

Enhancing the accuracy of rotational velocity measurement for vortex beams within the optimal ability of phase retrieval algorithm

The measurement of the rotational velocity using the rotational Doppler effect (RDE) of a vortex beam is easily affected by atmospheric turbulence, leading to dispersed orbital angular momentum (OAM), and reduced measurement accuracy. This study investigates the optimal ability of the Gerchberg-Saxton (GS) phase retrieval algorithm to compensate for the optical field and enhance the velocity measurement accuracy within the optimal range of intrinsic parameters, such as the number of GS iterations, and extrinsic parameters, such as the atmospheric turbulence intensity and beam properties. Through detailed theoretical and simulation analyses, we demonstrate the outstanding effectiveness of the GS algorithm in improving the velocity measurement accuracy. Simulations conducted for a system-target distance of zS-T = 500 m show a 29.88% improvement in the velocity measurement accuracy and a 1.03-fold increase in the spectral signal-to-noise ratio (SSNR) within the optimal range. It showcases advantages that set it apart from other methods. This study reveals the threshold of the ability of GS algorithm to significantly enhance the rotational velocity measurement accuracy, providing valuable insights to precision measurements of rotational velocities in free-space applications.

A robust method for the determination of lead in water samples using flow injection hydride generation atomic absorption spectrometry

Flow injection hydride generation atomic absorption spectrometry (FI-HGAAS) is a sensitive technique for the quantification of trace amounts of lead. However, plumbane generation is not straightforward and usually HG methods for lead are not robust enough for routine analysis. The optimum pH range for Pb HG is very narrow, so strict control of the acidity of the reaction medium is required for reliable results and in some cases even acid concentrations used for sample preservation can interfere. Moreover, some elements, like Cu, can interfere in the HG reaction suppressing the Pb signal. In this paper we report the development and validation of a method for the determination of Pb in water samples that is robust towards acidity and Cu levels usually found in water samples.All hydride generation parameters were optimized, but special emphasis was put on robustness. The use of borate as a buffer significantly improved the robustness of the method towards acidity, compared to the typical non-buffered HG. Furthermore, the interference of Cu, Sb and Sn in the HG reaction was overcome using thiocyanate as a masking agent. Other elements do not interfere at levels typically found in water samples. The limit of quantification achieved (0.9 μg L−1) is below the current guideline value for Pb in drinking water (10 μg L−1). The linearity of the method was verified between the LOQ and up to 15 μg L−1. An analytical frequency of 25 samples per hour with 3 measurement replicates each was achieved. The method was applied to the analysis of 50 water samples. The concentrations found ranged from <LOD (0.3 μg L−1) and up to 88.8 μg L−1.The proposed method is robust, cost-effective, easily automated and does not require unconventional or expensive equipment. It can be applied for routine analysis of different types of water samples.

Indium tin oxide thin film preparation and property relationship for humidity sensing: A review

AbstractThis review aims to present a critical overview of indium tin oxide (ITO) thin film preparation methods, structure–property relationship, and its humidity sensing. A range of passive and active humidity sensors with thin films (based on metal oxides) detects humidity. ITO thin film has advantageous properties, such as low resistivity and high stability, making it highly suitable for humidity sensing applications. ITO thin film has shown the efficient level of humidity sensing, and a compatible size of humidity sensor can monitor the interface conditions humidity. So far, the application of ITO thin film for humidity measurement has yet to be explored at commercial scale, specifically in the detection of lower environmental humidity range (below 5% relative humidity (RH)). The research reveals a gap in improving the ITO thin film properties with an optimal range of preparation conditions. The research opportunities in the preparation, properties, characteristics, and efficient humidity sensitivity of ITO thin film are reviewed in this work.

Design methodology based on multi-objective optimization with evolutionary algorithms for humidification-dehumidification desalination systems using updated approaches

This paper develops a methodology for multi-objective optimization using Non-Dominated Sorting Genetic Algorithm II (NSGA-II). The methodology aims to address the problem of the close relation between variables based on a mathematical model that simulates design variants of humidification-dehumidification (HDH) desalination systems, where the variation of one parameter can affect another. The approach consists of an exhaustive study of the state of the art to incorporate as many results as possible, including variable and parameter constraints established by previous research. Energy efficiency and potable water production are optimized with respect to the total area of the system's active components and the ratio of seawater converted to potable water. The calculations generate 20 Pareto optimal solutions, with an average pure water production of 14.01 l/h, and an average of the total and solar heating areas of 22.43 m2 and 8.52 m2, respectively, including many other parameters with similar values compared to other publications. The methodology is flexible, updatable, and generates high efficiency values, confirmed by the comparison of equivalent parameters and the pinch analysis, also with respect to previous results. The sensitivity analysis performed, presents different trends in the relation between variables in this scenario contributing to feedback on the behavior of hyperparameters of the algorithm, indicating a very wide potential of solutions. For the water temperature entering the dehumidifier, the range between 30 and 37 °C is determined as the optimum range, however, this is not the only result from the trend analysis of these 20 solutions, compared with other references. This methodology is a contribution to the overall objective of improving the HDH technology design process; optimal solutions are obtained for systems of the configuration chosen to apply it, but it can be adapted to others.

Gel polymer electrolytes for rechargeable batteries toward wide-temperature applications.

Rechargeable batteries, typically represented by lithium-ion batteries, have taken a huge leap in energy density over the last two decades. However, they still face material/chemical challenges in ensuring safety and long service life at temperatures beyond the optimum range, primarily due to the chemical/electrochemical instabilities of conventional liquid electrolytes against aggressive electrode reactions and temperature variation. In this regard, a gel polymer electrolyte (GPE) with its liquid components immobilized and stabilized by a solid matrix, capable of retaining almost all the advantageous natures of the liquid electrolytes and circumventing the interfacial issues that exist in the all-solid-state electrolytes, is of great significance to realize rechargeable batteries with extended working temperature range. We begin this review with the main challenges faced in the development of GPEs, based on extensive literature research and our practical experience. Then, a significant section is dedicated to the requirements and design principles of GPEs for wide-temperature applications, with special attention paid to the feasibility, cost, and environmental impact. Next, the research progress of GPEs is thoroughly reviewed according to the strategies applied. In the end, we outline some prospects of GPEs related to innovations in material sciences, advanced characterizations, artificial intelligence, and environmental impact analysis, hoping to spark new research activities that ultimately bring us a step closer to realizing wide-temperature rechargeable batteries.

Finite element analysis of JCO-E fabrication process and its influence on the collapse capacity of offshore pipelines

In the present work, the JCO-E fabrication process is numerically simulated using advanced finite element tools for the case of a thick-walled 30-inch-diameter pipe, which is candidate for deep water installation. Subsequently, the structural performance of the line pipe under external pressure is investigated in a unified approach. Uniaxial tests are performed to obtain the material properties used in the finite element model, which are representative of the loading history that the plate is subjected during the process. The finite element model is validated with geometric measurements from the actual pipe fabricated in the pipe mill. The effect of the expansion level on the properties of the final product is investigated through extensive numerical studies. The results have shown that there exists an optimum expansion range for achieving the minimization of the geometric imperfections of the final product and the maximization of the collapse capacity of the pipe.

CuInS2 quantum dots-based unipolar resistive switching for non-volatile memory applications.

Recent advancements have established quantum dots (QDs) as a promising alternative to conventional bulk materials in the fabrication of nanoscale integrated electronic devices. The appeal of QDs lies in their amenability to low-temperature processes and solution-based methodologies, facilitating the construction of devices with enhanced versatility and efficiency. The ternary metal chalcogenide CuInS2 QDs are one of the foremost, eco-friendly, and highly stable materials. In this study, CuInS2 QDs are employed as a functional layer in a memristive device featuring an Al/CuInS2/ITO configuration. The CuInS2 QDs have been synthesized by a hot injection method and characterized using X-ray diffraction (XRD) and transmission electron microscopy (TEM) to reveal their structural features. The Al/CuInS2/ITO device shows a unipolar resistive switching (RS) behaviour with a high on/off ratio of 105. The switching parameters have been studied for 100 cycles of SET/RESET. The SET and RESET voltages are found to be 1.66 ± 0.25 V and 0.69 ± 0.17 V. The spatial variability of switching parameters in the Al/CuInS2/ITO structure has also been studied for 9 different devices. The device also exhibits unipolar RS behaviour in the optimum temperature range of 0 °C to 50 °C. These outcomes demonstrate the impressive performance of CuInS2 QDs, indicating their potential for future energy-efficient and large-scale non-volatile memory applications.

Hot processing map and high temperature deformation behaviour of TB17 Ti alloy

The thermal compression experiments of TB17 titanium alloy under different thermal deformation process parameters were carried out using a thermal simulation compressor. The high-temperature plastic flow behaviour of the alloy was studied. It was found that with the decrease of the deforming temperature and the increase of the strain rate, the flow stress increased, and the discontinuous yield phenomenon occurred in hot deformation. The larger the strain rate, the more obvious the discontinuous yield phenomenon. The thermal activation energy Q decreased with the increase of strain, and the average value of activation energy Q is 209.54 KJ / mol. The constitutive equation of high-temperature plastic flow of TB17 titanium alloy was established. The predicted values of this equation are in good agreement with the experimental values. The average error is 3.987 %, and the correlation coefficient is 0.9972, which has high accuracy. Based on the Prasad criterion, the hot processing map of TB17 titanium alloy was constructed. It was found that the flow instability zone was mainly concentrated in the high strain rate region. The flow instability zone was determined to be 795 °C ~ 895 °C, 0.046s-1 ~ 1s-1, and the stable deformation zone was mainly located in the region with high temperature and low strain rate. The optimum processing parameter range is 860 °C ~ 895 °C, 0.001 s-1 ~ 0.025 s-1.

Soil gamasina mites (Acari: Gamasina) as components of biocenoses under arid conditions

The results of research conducted in the period 2002–2004 and 2019–2022 on the study of the ecology of gamasid mites living on biocenoses of cotton, wheat and melons in the northern regions of Turkmenistan are presented. In particular, 10 species of gamasid mites were identified in the listed biocenoses, including 3 new species for the fauna of the country. According to the selectivity of ecological niches, the discovered mites are classified as eurybionts and geophyllobionts. The importance of predatory gamasid mites in biocenoses is shown in regulating the number of herbivorous mites. Some insects and nematodes, the role of gamasid mites as the main component in the biocenosis, which ensures the functioning of the predator-prey relationship, is proved. Laboratory observations revealed the specificity of the choice of prey by predatory mites in the species B. tarsalis, Ph. plumifer and N. bicaudus. The specifics of the choice of prey by the tick Ph. plumifer in the laboratory in the optimum temperature range of +20 – +25°C and a humidity degree of 40-65%. They actively bred on tea rose leaves when C. pulcher was used as a mite victim. The results of observations under a stereomicroscope on the study of the ethological characteristics of the predatory mite N. bicaudus during its attack on its prey in the leaves of an apple tree are also presented. Researches have revealed the specificity of the choice of the herbivorous mite Siteroptes tameri by the predatory mite N. bicaudus as a prey. The active role of the latter in the spread of spores of the fungus N. gossypii has also been proven. Field observations revealed that predatory mites G. aculeifer, B. tarsalis and N. bicaudus feed on herbivorous mites in biocenoses. For predators, specific types of prey have been established, related to spider mites, acaroid and eriophyid mites. The role of gamasid mites in establishing the ecological balance of herbivorous mites in biocenoses has been proved.

Development and characterization of thin iron-based shape memory alloy prestressing wire

Iron-based shape memory alloys (Fe-SMA) have been used successfully in the previous years as prestressing reinforcement in the form of rebars, rods and flat strips, for various types of structural elements and loading scenarios. This paper introduces a new application of this material in the form of thin wire. An experimental characterization study is presented herein for Fe-SMA wire that was drawn to a diameter of 0.5 mm, regarding its tensile stress-strain response and recovery stress development upon heating, for different activation temperatures and prestraining levels. Furthermore, an investigation is presented regarding the effects of heat treatment conditions on the mechanical response and prestressing performance of the wire. For the optimum heat treatment conditions and activation temperature range considered in this study, the measured tensile strength and recovery stress of the Fe-SMA wire was 1117 MPa and up to 390 MPa, respectively. The results indicate a strong potential of Fe-SMA as a candidate prestressing material where flexible wire cross-sections of small diameter are desired instead of larger, solid cross-section tendons (e.g., multi-strand wire ropes or concrete confinement spirals), or as novel short fiber reinforcement for concrete with prestressing capabilities.

Formulation, Analytical Method Development and Validation of an Emulsion of Multi-enzyme with Carminative Oils

Introduction:: Indigestion leading to Flatulence is a common problem for infants, and tackling it is tedious for the parents. So, addressing the issue with an ideal formulation should likely have a combination of digestive enzymes and carminatives. Methods: A formulation containing enzymes like Fungal Diastase (Amylase) and Papain (Protease) for the digestion of Carbohydrates and Protein, respectively, along with aromatic, volatile, carminative oils like Dill Oil, Anise Oil, and Caraway Oil can serve the purpose to mitigate problems associated with infant indigestion and flatulence with maximum compliance. Results: The stability of multi-enzyme and analysis of carminative oil mixtures still need to be improved due to their inherent characteristics. Enzymes are very likely susceptible to changes in temperature and pH, while the solubility of carminative oils is minimal in the aqueous phase. Also, each enzyme is stable in different pH ranges. Nine emulsions were developed using a suitable buffer system and analyzed by HPLC method. Conclusion:: The optimum pH range was found, and analytical method validation was done for the method's accuracy, precision, and repeatability. The optimum pH was 6-6.5, and the active pharmaceutical ingredients (API) assay was found within the acceptable limit of NLT, 90% for enzymes and 90-110% for carminative oils.

EXPERIMENTAL STUDIES ON Li-ION BATTERY PACK FOR TEMPERATURE DISTRIBUTION ANALYSIS DURING FAST DISCHARGING AND VARIOUS AMBIENT TEMPERATURE CONDITIONS

Lithium-ion batteries are the primary energy source for electric vehicles (EVs), which were developed to address environmental issues and the lack of energy resources. The temperature is a key factor in Li-ion batteries which affects their degradation and life span. In this study, the thermal performance characteristics of a 4S2P Li-ion battery pack are analyzed according to the change in the environmental temperatures of 25&amp;deg;C, 40&amp;deg;C, and 60&amp;deg;C and the discharge rates of 0.5C, 1C, 2C, and 3C of the battery. In the experiment, the maximum temperature rises in the battery pack at 0.5C discharge rate is within the optimum operation range with respect to all tested ambient temperature conditions. Meanwhile, it is higher at an ambient temperature of 25&amp;deg;C than at ambient temperatures of 40&amp;deg;C and 60&amp;deg;C during high-current discharge (1C, 2C, and 3C) operations. The results prove that the environmental temperature of 40&amp;deg;C provides better thermal performance than 25&amp;deg;C and 60&amp;deg;C operating levels. Also, the temperature distribution between neighboring cells in the pack increases as the C-rate increases from 0.5C to 3C, and this nonuniformity causing high heat generation can lead to a performance reduction of the module. This article primarily proposed a correlation between heat transfer and ambient temperatures in terms of discharge rate. The correlation is significant when designing thermal management systems for battery-powered devices.

Finite element modelling of sound transmission in the Weberian apparatus of zebrafish (Danio rerio).

Zebrafish, an essential vertebrate model, has greatly expanded our understanding of hearing. However, one area that remains unexplored is the biomechanics of the Weberian apparatus, crucial for sound conduction and perception. Using micro-computed tomography (μCT) bioimaging, we created three-dimensional finite element models of the zebrafish Weberian ossicles. These models ranged from the exact size to scaled isometric versions with constrained geometry (1 to 10 mm in ossicular chain length). Harmonic finite element analysis of all 11 models revealed that the resonance frequency of the zebrafish's Weberian ossicular chain is approximately 900 Hz, matching their optimal hearing range. Interestingly, resonance frequency negatively correlated with size, while the ratio of peak displacement and difference of resonance frequency between tripus and scaphium remained constant. This suggests the transmission efficiency of the ossicular chain and the homogeneity of resonance frequency at both ends of the chain are not size-dependent. We conclude that the Weberian apparatus's resonance frequency can explain zebrafish's best hearing frequency, and their biomechanical characteristics are not influenced by isometric ontogeny. As the first biomechanical modelling of atympanic ear and among the few non-human ear modelling, this study provides a methodological framework for further investigations into hearing mechanisms and the hearing evolution of vertebrates.

In vitro influence of plant extracts beyond taxonomy: a comparison ...

Detailed information on the in vivo activity of vegetal extracts on the immune system in birds and mammals, mainly the farmed ones, is helpful in improving their resilience and welfare. Therefore there is need to investigate the exact roles of active plant components in animals, mainly their influence on the immune system, which is crucial for antimicrobial resistance. The farming system, serving principally economic aims, overlooks the physiological support of several extremely stress-sensitive, short-lived species such as chickens or rabbits. Recovering from the damage caused by adverse microclimates or nutritional deficiencies in these species can be a prolonged process often standing beyond their economic lifespan. Additionally, the compromised condition makes them susceptible to various diseases, particularly microbial or parasitic infections which can easily take hold in the weakened state. Under these circumstances, it seems very important to select and study natural enhancers of the immune response. Setting up optimal therapeutic protocols and establishing the optimal age range and administration route boost their effects. The in vitro tests, performed mainly on isolated cell- or cell-line cultures, proved the beneficial influence of certain vegetal extracts, which diminished oxidative stress and tumor growth, as well as overcame the negative effects of active oxygen species, increasing the synthesis of cytokines. The study aimed a) to establish a potential dose-effect relationship for selected plant extracts, b) considering that belonging to either of groups Aves or Mammalia changes the response to these extracts. Blood samples taken from hens and rabbits were subjected to in vitro blast transformation tests (RPMI 1640 culture medium, 48 hours of incubation in a 5% CO2 atmosphere) to estimate the effects of alcoholic extracts of Calendula officinalis, Vaccinum myrtilus, Echinacea purpurea, and Hippophae rhamnoides at 1.5% and 6.5% concentrations by a colorimetric assay (orto-toluidine test). The results in hens indicated maximal stimulation indices, in a reverse dose-dependent manner, for Vaccinum myrtillus (81.93 ± 18.74% for 1.5% concentration) and Calendula officinalis (74.70 ± 22.15% for 1.5% concentration). In rabbits, all the extracts had stimulating effects, Calendula (80.72 ± 6.82% for 6.5% concentration) and Echinacea (68.67 ± 17.04% for 6.5% concentration) being more effective than Vaccinum (65.06 ± 35.78% at 1.5% concentration). Obviously, the in vitro effects of the extracts depended on the phylogeny of the animal and the plant of origin. Thus, the birds reacted to certain extracts in an inversely dose-dependent manner, while in rabbits, the effects were directly dose-dependent. The results highlight the importance of preliminary tests in selecting an appropriate vegetal extract for immune stimulation/modulation of a given species of animals.

Exploiting cyclodextrins as artificial chaperones to enhance enzyme protection through supramolecular engineering.

We report a method of enzyme stabilisation exploiting the artificial protein chaperone properties of β-cyclodextrin (β-CD) covalently embedded in an ultrathin organosilica layer. Putative interaction points of this artificial chaperone system with the surface of the selected enzyme were studied in silico using a protein energy landscape exploration simulation algorithm. We show that this enzyme shielding method allows for drastic enhancement of enzyme stability under thermal and chemical stress conditions, along with broadening the optimal temperature range of the biocatalyst. The presence of the β-CD macrocycle within the protective layer supports protein refolding after treatment with a surfactant.

Assessing illumination fatigue in tunnel workers through eye-tracking technology: A laboratory study

Considering the vigorous development of the tunnel transportation industry, research on improving the health and comfort of tunnel workers has become important. Requirements for tunnel construction illumination vary worldwide, and the use of inappropriate illumination can lead to increased worker fatigue. This study used virtual-reality simulation of tunnel construction environments, with illumination intensity as the sole variable, combined with eye-tracking technology to record and analyze the performance of eight indicators across four categories under nine illumination conditions. The optimal illumination range was found to be 100–150 lx. The potential significance of each indicator was explored based on the varying interpretative capacities. A random forest algorithm was employed to construct a classification prediction model for illumination fatigue, achieving an accuracy rate of 75.5%. Noticeable fatigue was predicted with an accuracy of 85%, and that of mild fatigue was 80%. The significance of this study lies in the successful application of eye-tracking technology to detect and classify illumination fatigue in tunnel construction environments. However, illumination fatigue is not confined to underground environments. The experimental methods and results presented in this paper can aid in conducting research in various construction environments with limited natural light.

Dynamic response of Camellia oleifera fruit-branch based on mathematical model and high-speed photography

In order to study the motion law and shedding characteristics of fruits during the vibration harvesting process of Camellia oleifera fruit. The dynamic equation of fruit-branch picking was established, the vibration output solution and picking inertial force of Camellia oleifera fruit forced vibration were solved by mathematical methods, and the spectral curve between picking force and frequency when forced vibration of Camellia oleifera fruit was analysed by MATLAB. The three-dimensional model of fruit-branch was established, and the modal analysis and harmonious response analysis were carried out, and the optimal excitation frequency range was 4–8 Hz, and the optimal excitation load of fruit-branch was 50N. The self-made canopy camellia fruit picker was used to continuously vibrate the side branches of Camellia oleifera, and the high-speed camera was used to record the movement process of Camellia oleifera fruit at different vibration frequencies, and the results showed that the movement trajectory of Camellia oleifera fruit was complex and the result of a combination of multiple movements. With the increase of excitation frequency, the speed and acceleration of fruit and flower buds also increased, but the average shedding force of fruits and buds did not change much, and the average shedding force of flower buds was greater than that of fruits. The results of this experiment are basically consistent with the results of the simulation analysis. The results of this study can provide a theoretical basis for the design, selection and research and development of mechanical harvesting equipment.

Advanced Equivalent Consumption Minimization Strategy for Fuel Cell Hybrid Electric Vehicles

This paper aims to develop an Advanced Equivalent Consumption Minimization Strategy (AECMS) for efficient fuel cell hybrid electric vehicles (FCHEV). The Equivalent Consumption Minimization Strategy (ECMS) is one of the most feasible solutions for hybrid electric vehicles as it has less complexity and low computational cost in making the optimal control decision. However, typical ECMS designs with fixed gain use could not enhance an optimal energy control when dealing with multi decisive factors for highly non-linear and uncertain systems like FCHEVs. To address this control challenge, the AECMS is developed as the combination of the ECMS and an adaptive equivalence factor to optimally split the energy flow between the fuel cell and battery in the FCHEV. First, a cost function is formulated based on two key objectives which are power consumptions of the fuel cell and battery, the equivalence factor and a set of soft and hard constraints, considering the number of fuel cell start/stop, fuel cell optimal operating range, state of charge (SoC) range, temperature ranges and power limits. Second, the adaptive equivalence factor is newly designed as the combination of states and dynamics of the fuel cell and battery and corresponding weighting factors. Third, fuzzy inferences are derived to adjust online the weighting factors in an adaptive manner according to the working conditions of the energy sources, subsequently improving the overall vehicle energy efficiency and maintaining the battery SoC while prolonging their lifetime. Numerical simulations using a FCHEV model have been carried out under UDDS and HWFET drive cycles to illustrate the superior performance of the AECMS against the traditional ECMS.

Numerical and experimental study to examine methods to increase the convectional heat transfer of recuperator tubes

The use of structured tubes in tube bundle recuperators is intended to improve the energy efficiency of gas-fired industrial furnace systems with central air preheating. Currently, smooth tubes as well as smooth tubes with internal twisted tape are commonly utilised. The increased surface area of structured tubes leads to an increased heat transfer between the off-gas and the combustion air. However, structuring leads to an increased pressure loss. The aim is to find an optimal operating range in which the pressure losses are still acceptable and the greatest increase of heat transfer compared to the reference will be achieved. Smooth tubes and also smooth tubes with twisted tapes are considered as reference systems in comparison to two concave structured tubes. CFD simulations were used to investigate the influence of the operating parameters of combustion air velocity and off-gas velocity on heat transfer according to industrial scale. The simulations have shown that the heat flow increases with the honeycomb depth and strongly depends on the operating conditions. Experimental measurements in a test bench were carried out to validate the model and confirm the positive influence of structuring on heat transfer.

Stability and bifurcation analysis of a discrete Leslie predator-prey system via piecewise constant argument method

&lt;abstract&gt;&lt;p&gt;The objective of this study was to analyze the complex dynamics of a discrete-time predator-prey system by using the piecewise constant argument technique. The existence and stability of fixed points were examined. It was shown that the system experienced period-doubling (PD) and Neimark-Sacker (NS) bifurcations at the positive fixed point by using the center manifold and bifurcation theory. The management of the system's bifurcating and fluctuating behavior may be controlled via the use of feedback and hybrid control approaches. Both methods were effective in controlling bifurcation and chaos. Furthermore, we used numerical simulations to empirically validate our theoretical findings. The chaotic behaviors of the system were recognized through bifurcation diagrams and maximum Lyapunov exponent graphs. The stability of the positive fixed point within the optimal prey growth rate range $ A_1 &amp;lt; a &amp;lt; A_2 $ was highlighted by our observations. When the value of $ a $ falls below a certain threshold $ A_1 $, it becomes challenging to effectively sustain prey populations in the face of predation, thereby affecting the survival of predators. When the growth rate surpasses a specific threshold denoted as $ A_2 $, it initiates a phase of rapid expansion. Predators initially benefit from this phase because it supplies them with sufficient food. Subsequently, resource depletion could occur, potentially resulting in long-term consequences for populations of both the predator and prey. Therefore, a moderate amount of prey's growth rate was beneficial for both predator and prey populations.&lt;/p&gt;&lt;/abstract&gt;