Characteristic Behavior Research Articles

Characteristic Behavior of Methane/Hydrogen Premixed Flame in Ultrafine Water Mist with Potassium Additives

ABSTRACT In order to improve the suppression effect of methane/hydrogen deflagration, it is essential to understand the effects of the addition of ultrafine water mist on their explosion characteristics. An experimental study on the flame propagation behavior of methane/hydrogen premix flames influenced by ultrafine water mist with K2C2O4·H2O additives was carried out in a 10 mm × 10 mm × 100 mm tube. The results confirmed that potassium additives can improve the inhibition effect of ultrafine water mist, but the inhibition effect shows an inverted “V” shape with the increase of mass concentration. Inhibitory effects from high to low are: 15% K2C2O4·H2O >3% K2C2O4·H2O >0% K2C2O4·H2O >9% K2C2O4·H2O The addition of ultrafine water mist has both an inhibiting and an enhancing effect on flame propagation. Physical inhibition includes energy absorption by droplet fragmentation, heat absorption by evaporation and dilution of combustible gas components with CO2 to reduce the rate of combustion. Chemical inhibition occurs when small molecule alkali metals reduce the concentration of free radicals such as •O, •H and •OH. In addition, the unevaporated droplets and CO from pyrolysis have an enhanced effect on deflagration.

Tweaking the Efficiency of Asymmetric Hybrid Supercapacitors with Mechanochemically Synthesized Mixed‐Metal–Organic Framework‐Derived Metal Oxides

Novel electrode and electrolyte materials are crucial for enhancing supercapacitor efficiency. Metal–organic frameworks (MOFs) have gained attention owing to their high porosity and surface area. However, their low capacity limits their usage. To tackle this, a highly effective mechanochemical annealing strategy is implemented to improve their efficiency. Three different forms of metal oxides NiCo2O4 are derived from bimetallic MOFs by incorporating Ni2+ and Co2+ with linkers 1,3,5‐benzene tricarboxylic acid (MO‐1), 2,6‐naphthalene dicarboxylic acid (MO‐2), and 1,2,4,5‐benzene tetracarboxylic acid (MO‐3). The synthesized metal oxides have different morphologies due to different linkers and displayed remarkable electrochemical performance, attributed to favorable charge transport paths and enhanced electrochemical double‐layer capacitance with an enlarged specific surface area. These metal oxides exhibit specific capacitance values of 913.3, 43.4, and 210 F g−1 at operating voltages of 0.55, 0.55, and 0.6 V for MO‐1, MO‐2, and MO‐3, respectively. Notably, MO‐1 shows extended discharging time and demonstrates the characteristic behavior of battery‐type supercapacitors, making it versatile. The fabricated hybrid supercapacitor (bimetal hybrid supercapacitor) shows pseudocapacitive behavior, reaching up to 1.5 V with a specific capacitance of 65.6 F g−1, energy density of 73.83 W h kg−1, and power density of 1181.2 W kg−1.

Deep learning-based characterization of neutrophil activation phenotypes in ex vivo human Candida blood infections

Early identification of human pathogens is crucial for the effective treatment of bloodstream infections to prevent sepsis. Since pathogens that are present in small numbers are usually difficult to detect directly, we hypothesize that the behavior of the immune cells that are present in large numbers may provide indirect evidence about the causative pathogen of the infection. We previously applied time-lapse microscopy to observe that neutrophils isolated from human whole-blood samples, which had been infected with the human-pathogenic fungus Candida albicans or C. glabrata, indeed exhibited a characteristic morphodynamic behavior. Tracking the neutrophil movement and shape dynamics over time, combined with machine learning approach, the accuracy for the differentiation between the two Candida species was about 75%. In this study, the focus is on improving the classification accuracy of the Candida species using advanced deep learning methods. We implemented (i) gated recurrent unit (GRU) networks and transformer-based networks for video data, and (ii) convolutional neural networks (CNNs) for individual frames of the time-lapse microscopy data. While the GRU and transformer-based approaches yielded promising results with 96% and 100% accuracy, respectively, the classification based on videos proved to be very time-consuming and required several hours. In contrast, the CNN model for individual microscopy frames yielded results within minutes, and, utilizing a majority-vote technique, achieved 100% accuracy both in identifying the pathogen-free blood samples and in distinguishing between the Candida species. The applied CNN demonstrates the potential for automatically differentiating bloodstream Candida infections with high accuracy and efficiency. We further analysed the results of the CNN using explainable artificial intelligence (XAI) techniques to understand the critical features and patterns, thereby shedding light on potential key morphodynamic characteristics of neutrophils in response to different Candida species. This approach could provide new insights into host-pathogen interactions and may facilitate the development of rapid, automated diagnostic tools for differentiating fungal species in blood samples.

IMPLEMENTATION OF SOCIOLOGY OF EDUCATION IN FORMATION OF CHARACTER THROUGH DISCIPLINE TRAINING

Character education is a system that teaches character values ​​with elements of knowledge, awareness and action, as well as putting these values ​​into practice. One way to develop quality character or educate children about their character is to provide knowledge about how to behave according to expectations in everyday life and apply it in society. This characteristic behavior is certainly related to relationships with society. Since humans were born into this world, consciously or unconsciously, we have studied and understood social relationships, namely the relationships between humans in society. The research method in this article uses qualitative research: Literature Study, namely a data collection method by understanding and studying theories from various literature related to research. The aim of this research is to examine the sociology of education, the sociology of education as character formation through disciplinary habituation and implementation of disciplinary character formation.

Ch. Aitmatov and the Russian traditionalist prose of the 1960s–1970s (on the 95th anniversary of the writer’s birth)

INTRODUCTION. Ch.T. Aitmatov (1928–2008) is a major writer whose work was originally associated with Kyrgyzstan, was widely known in the Soviet Union, and recognized by the world cultural community. His prose is associated with several directions and trends in Russian Soviet literature. The purpose of the study is to draw parallels between Aitmatov’s works of the 1960–1980s and Russian traditionalist literature of that time, to establish the degree of poetic “kinship” between phenomena belonging to different national cultures.MATERIALS AND METHODS. The research material is Ch. Aitmatov’s stories “My Poplar in a Red Scarf”, “Mother’s Field”, the novel “Stormy Stop”, F. Abramov’s novel “Home”, V. Astafiev’s stories, V. Shukshin’s stories. The main methods of studying the material are comparative typological, historical and genetic; a mythopoetic approach to the analysis of literary works is also used.RESULTS AND DISCUSSION. It has been established that Ch. Aitmatov’s prose is related to “industrial literature”, to “lyrical prose”, to “youth literature”. The connections between Aitmatov’s stories and novels and “village prose” turn out to be closer. The desire to preserve memory, traditions, and archetypes of behavior characteristic of the centuries-old culture of the Kyrgyz people is of great importance for the heroes of Ch. Aitmatov’s stories and novels. This trend also characterizes Russian traditionalist literature of the 1960–1980s, which declared the need for a careful attitude towards Russian national traditions. In many respects, the images of the main characters and the mythological motifs of the works of Ch. Aitmatov and the Russian “villages” turn out to be consonant and comparable in a number of parameters. Significant similarities were revealed in the perception of the native land and fields in the works of the “villagers” and Ch. Aitmatov, in the depiction of ambiguous socio-ethical processes in Soviet society of the 1960–1980s, in the understanding of the processes of corrosion of a national character.CONCLUSION. Prose by Ch.T. Aitmatov is close to various currents of Russian literature of the twentieth century in its characteristic humanistic orientation, in its attention to the hero involved in solving acute social and ethical problems of the time. Ch. Aitmatov’s prose is characterized by a poetic “kinship” with the traditionalist direction of Russian literature, manifested in genre, composition, figurative, ideological analogies and correspondences between phenomena belonging to different national cultures. They are brought together by the image of the mother earth, an attempt to rehabilitate and preserve the archetypes of national ethics, to integrate them into modernity full of contradictions. It seems promising to further study the parallels between Ch. Aitmatov’s prose and Russian traditionalist literature in order to determine the national identity of the writers’ artistic worlds and clarify the origins of the commonality of their concepts of the world and man.

Analysis and development of a sensor concept for multistable actuators with passive magnetic shape memory alloy

Abstract Based on the current state of research, the aim of this paper is to develop a position sensor for actuators using passive magnetic shape memory alloys. The presented sensor concept converts the strain dependent permeability of the magnetic shape memory alloy into an inductance change by using a sensor coil arrangement. The change in inductance of the sensor coil is converted into a change in the resonant frequency of a parallel oscillating circuit. A microcontroller detects the resonant frequency of the circuit and converts it into a position sensor signal. To evaluate the functionality of the sensor, a test rig is developed that deforms the magnetic shape memory element under realistic application conditions. Experimental measurements in a climate chamber are used to evaluate the performance and characteristics of the sensor. The characteristic, temperature drift and hysteresis behavior are analyzed. It is proven that the presented sensor concept can be used to determine the position of passive magnetic shape memory alloy actuators.

The Role of Dietary Peptides Gluten and Casein in the Development of Autism Spectrum Disorder: Biochemical Perspectives.

This paper examines the role of dietary peptides gluten and casein in modulating brain function in individuals with autism spectrum disorder (ASD) from a biochemical perspective. Neurotransmitter systems and neural networks are crucial for brain function, and alterations at the biochemical level can contribute to the characteristic symptoms and behaviors of ASD. The paper explores how dietary peptides influence neurotransmitter systems and neural networks, highlighting their potential as interventions to improve brain function in ASD. The evidence suggests that dietary peptides can impact neurotransmitter synthesis, release, and receptor interactions, disrupting the balance of neurotransmitter systems and affecting neural network function. The findings underscore the potential of dietary interventions in modulating brain function in ASD and call for further research to elucidate the underlying mechanisms and optimize clinical practice. Considering individual dietary sensitivities and preferences, personalized dietary approaches may be necessary for optimal outcomes. Dietary interventions' timing, duration, and integration with other evidence-based treatments are crucial considerations. Safety considerations and regular monitoring are important to ensure the implementation of dietary interventions safely and effectively.

Ice zone melting method for probing ion-specific partitioning at frozen interface

When water freezes, impurities are expelled from the ice crystals and accumulate in the grain boundary space. Salts are a major impurity common to aqueous systems and, upon freezing, are dissolved in the liquid phase at temperatures above the eutectic point. Some constituent ions remain near the ice interface, but some readily diffuse away from the interface. The behavior of ions depends on their properties and affects the progress of freezing. Therefore, although the equilibrium and dynamic behavior of ions at this interface is important for understanding water freezing, nothing is known because of the lack of a suitable approach to this aspect. We extend zone melting, which is used for the purification of metal and semiconductor materials, to frozen aqueous systems. The partition behaviors of anions (F−, Cl−, Br−, and NO3−) between frozen and thawed zones are evaluated using ice zone melting followed by ion chromatographic determination of ions. The effective partition coefficients of the ions are determined from the zone melting measurements of frozen aqueous solution. Differences in the effective partition coefficient between anions are observed. The ratios for anions reveal the ion-specific behaviors at the interface between the freeze concentrated solution (FCS) and melting zone. Poorly hydrated ions tend to be thermodynamically distributed well in the FCS. However, as zone melting proceeds, F− shows a different trend from that predicted by ion hydration. This characteristic behavior of F− is understood by considering its lower diffusivity than other halide anions. Thus, ice zone melting provides information on the equilibrium and dynamic features of ions at the frozen aqueous interface.

Investigating the Antibacterial and Anti-inflammatory Potential of Polyol-Synthesized Silver Nanoparticles.

Silver nanoparticles (Ag-NPs) were synthesized by using the polyol method. The structural and morphological characteristics of Ag-NPs were studied by using X-ray diffraction (XRD) and field-emission scanning electron microscopy (FE-SEM). The XRD analysis revealed the formation of single-phase polycrystalline Ag-NPs with an average crystallite size and lattice constant of ∼23 nm and 4.07 Å, respectively, while the FE-SEM shows the formation of a uniform and spherical morphology. Energy-dispersive X-ray spectroscopy confirmed the formation of single-phase Ag-NPs, and no extra elements were detected. A strong absorption peak at ∼427 nm was observed in the UV-vis spectrum, which reflects the surface plasmon resonance (SPR) behavior characteristic of Ag-NPs with a spherical morphology. Fourier-transform infrared (FTIR) spectra also supported the XRD and EDX results with regard to the purity of the prepared Ag-NPs. Anti-inflammatory activity was tested using HRBCs membrane stabilization and heat-induced hemolysis assays. The antibacterial activity of Ag-NPs was evaluated against four different types of pathogenic bacteria by using the disc diffusion method (DDM). The Gram-negative bacterial strains used in this study are Escherichia coli (E. coli), Klebsiella, Shigella, and Salmonella. The analysis suggested that the antibacterial activities of Ag-NPs have an influential role in inhibiting the growth of the tested Gram-negative bacteria, and thus Ag-NPs can find a potential application in the pharmaceutical industry.

Effects of bubble content on the rotor behavior and characteristics of hydraulic pumps used for automatic transmissions

In automatic transmissions, hydraulic oil in the oil sump is strongly agitated by gears during operation; thus, the oil is mixed with great amounts of air. Air-mixed oil is sucked and discharged by a hydraulic pump to shift the gears. Although air bubbles mixed in the oil may affect the behavior of the rotors, driving torque, and discharge flow rate, they have hardly been measured. In this study, we measure them using a balanced vane pump and a gerotor pump used for automatic transmissions under varying air bubble contents and operating conditions. The experimental results revealed that the inclusion of air bubbles in the oil somewhat influenced the rotor behavior of both test pumps but it did not seem to increase the contact between the rotor and the surrounding stationary parts. Furthermore, as the bubble content increased, friction torque decreased to some degree, while discharge flow rate decreased to a great degree. This work proposed a new friction torque model, in which bubble content is included as a parameter, and the proposed model demonstrated relatively good agreement with the measured friction torque characteristics. The results also revealed that the rotor behavior and friction torque characteristic were mainly affected by bubble content and less so by bubble size.

Nonlinear Forced Vibration Analysis using ‘Elmer’ FEM Package to Develop Poincaré Map and Correlation Method-based Damage Indicators

With the rapid advancement of sensor technology, structural health monitoring (SHM) is also blossoming with prowess in the field of civil, mechanical and aerospace engineering. It deals with the initiation of damage and its characteristic behavior in a deterministic or predictive way. The time-dependent fluctuation associated with the dynamic motion of structures was addressed with few efficient indicators in the past to identify the presence of damage as well as to localize the faulty area. The formulation of all those indicators is validated on specific structural arrangements with certain assumptions. This limitation is considered in this article to project the global applicability of the method along with the inherent constraints. The damage detection in the time-domain is considered to utilize direct accessibility of responses from the sensors attached to the members. It reduces the computational difficulty in transforming response to another domain and also associated approximations that emerge through numerical calculations. Broadly, two types of methods are discussed in this article along with modelling and analysis procedure; methods developed from cross-correlation of response and graphical method or Poincaré map. The model of cantilever beam and axial bar is developed in FreeCad where damage is induced by reducing either thickness or Young’s modulus of damaged elements to simulate cracked member. Meshing of member is done in Gmsh. To generate response history of state variables a newly developed finite element (FE) analysis software package Elmer is then employed for the dynamic analysis of the member with geometric nonlinearity. At last, application of Teager energy operator (TEO) in noise reduction is explained with a general example.

Modelling and Simulation Studies on the Characteristic Behaviour of Macroalgae Derived Bio-Oil

Abstract With the expanding need for renewable and sustainable energy resources, the demand for biomass derived bio-oil particularly microalgae or macroalgae based bio-oil is growing. In this regard, understanding the characteristics of bio-oil as a function of several influencing operational parameters is essential. In this study modelling and simulation technique based on Aspen HYSYS was applied to investigate the characteristics of macroalgae Ulva prolifera derived bio-oil from Hydrothermal Liquefaction (HTL) process as a function of the influencing parameters like temperature, kinematic viscosity, and weight percent of the bio-oil assay, cut yield behaviour, and standard liquid density. Modelling and simulation help to optimise the process parameters and design the process layout for large-scale production. According to the simulation results the cut yield of off gases, light naphtha, heavy naphtha, light distillate, heavy distillate, gas oil and residues are shown at specific final boiling point (FBP) temperatures of 70 °C, 70 °C - 110 °C, 110 °C - 221.1 °C, 221.1 °C - 304.4 °C, 304.4 °C - 371.1 °C, 371.1 °C - 537.8 °C and 537.7 °C respectively. Whereas, above a temperature of 300 °C, the weight percentage of aromatic components increased steadily. The increase in percentage composition of the aromatic components is due to the reduction of the paraffinic components. The density of the liquid bio-oil was steadily increasing until a temperature of 200 °C.

Characterizing the primary resonator in the cochlea

The cochlear traveling waves are explained by a bank of independent resonators coupled longitudinally by lymphatic fluids. Many cochlear models require at least two resonators to account for observed responses. To investigate the resonators in the cochlea, we used high-resolution optical coherence tomography to measure 2-D vibration patterns of the organ of Corti in acutely excised cochleae from young Mongolian gerbils. The excised tissues were acoustically stimulated. The transverse and radial vibrations of the basilar membrane (BM) and the tectorial membrane (TM) were obtained over their radial span. The BM vibrated from the primary to a higher mode transversely as the stimulating frequency increased. The higher-order mode appeared near the best frequency (BF) of the measured location. Meanwhile, the TM showed no sign of a mode transition up to 1 octave above the BF in radial or transverse vibrating patterns. Within the physiological frequency range, the BM exhibits the characteristic behavior of a resonator. In contrast, the TM does not. Our results suggest that the TM as the second resonator is not the universal mechanism across the entire cochlea.

Electrochemical Doping and Structural Modulation of Conductive Metal‐Organic Frameworks

AbstractIn this study, we introduce an electrochemical doping strategy aimed at manipulating the structure and composition of electrically conductive metal‐organic frameworks (c‐MOFs). Our methodology is exemplified through a representative c‐MOF, Ni3(HITP)2 (HITP=2, 3, 6, 7, 10, 11‐hexaiminotriphenylene), synthesized into porous thin films supported by nanocellulose. While the c‐MOF exhibits characteristic capacitive behavior in neutral electrolyte; it manifests redox behaviors in both acidic and alkaline electrolytes. Evidence indicates that the organic ligands within c‐MOF undergo oxidation (p‐doping) and reduction (n‐doping) when exposed to specific electrochemical potentials in acidic and alkaline electrolyte, respectively. Interestingly, the p‐doping process proves reversible, with the c‐MOF structure remaining stable across cyclic p‐doping/de‐doping. In contrast, the n‐doping is irreversible, leading to the gradual decomposition of the framework into inorganic species over a few cycles. Drawing on these findings, we showcase the versatile electrochemical applications of c‐MOFs and their derived composites, encompassing electrochemical energy storage, electrocatalysis, and ultrafast actuation. This study provides profound insights into the doping of c‐MOFs, offering a new avenue for modulating their chemical and electronic structure, thereby broadening their potential for diverse electrochemical applications.

Electrochemical Doping and Structural Modulation of Conductive Metal-Organic Frameworks.

In this study, we introduce an electrochemical doping strategy aimed at manipulating the structure and composition of electrically conductive metal-organic frameworks (c-MOFs). Our methodology is exemplified through a representative c-MOF, Ni3(HITP)2 (HITP=2, 3, 6, 7, 10, 11-hexaiminotriphenylene), synthesized into porous thin films supported by nanocellulose. While the c-MOF exhibits characteristic capacitive behavior in neutral electrolyte; it manifests redox behaviors in both acidic and alkaline electrolytes. Evidence indicates that the organic ligands within c-MOF undergo oxidation (p-doping) and reduction (n-doping) when exposed to specific electrochemical potentials in acidic and alkaline electrolyte, respectively. Interestingly, the p-doping process proves reversible, with the c-MOF structure remaining stable across cyclic p-doping/de-doping. In contrast, the n-doping is irreversible, leading to the gradual decomposition of the framework into inorganic species over a few cycles. Drawing on these findings, we showcase the versatile electrochemical applications of c-MOFs and their derived composites, encompassing electrochemical energy storage, electrocatalysis, and ultrafast actuation. This study provides profound insights into the doping of c-MOFs, offering a new avenue for modulating their chemical and electronic structure, thereby broadening their potential for diverse electrochemical applications.

Synthetic and Computational Design Insights toward Mimicking Protein Binding of Phosphate.

The unique and precise capabilities of proteins are renowned for their specificity and range of application. Effective mimicking of protein-binding offers enticing potential to direct their abilities toward useful applications, but it is nevertheless quite difficult to realize this characteristic of protein behavior in a synthetic material. Here, we design, synthesize, and evaluate experimentally and computationally a series of multicomponent phosphate-binding peptide amphiphile micelles to derive design insights into how protein binding behavior translates to synthetic materials. By inserting the Walker A P-loop binding motif into this peptide synthetic material, we successfully implemented the protein-binding design parameters of hydrogen-bonding and electrostatic interaction to bind phosphate completely and selectively in this highly tunable synthetic platform. Moreover, in this densely arrayed peptide environment, we use molecular dynamics simulations to identify an intriguing mechanistic shift of binding that is inaccessible in traditional proteins, introducing two corresponding new design elements─flexibility and minimization of the loss of entropy due to ion binding, in protein-analogous synthetic materials. We then translate these new design factors to de novo peptide sequences that bind phosphate independent of protein-extracted sequence or conformation. Overall, this work reveals that traditional complex conformational restrictions of binding by proteins can be replaced and repurposed in a multicomponent peptide amphiphile synthetic material, opening up opportunities for future enhanced protein-inspired design.

Mechanical Characteristic and Energy Absorption Behavior of Closed-Cell Pure and A356 Alloyed Aluminum Foams during Compression

The goal of this study is to evaluate the mechanical characteristics and energy absorption capabilities of both closed-cell pure Aluminum foam and closed-cell A356 foam. A portion of the lightweight pure foam samples (17.12, 17.77 and 15.27 g) is produced through casting of raw material (99.9 % pure aluminum) using Titanium Hydride (TiH2) as a foaming agent, which lead to (7.5, 7 and 8) Pores Per Inches (PPI); and samples of A356 foam (38.24, 38.18 and 35.88 g) is produced through casting of A356 alloyed material with same procedure which lead to (11, 10 and 12) PPI. In order to determine the maximum compressive strength, strength-to-weight ratio, energy absorption density, complementary energy, and energy absorption efficiency, a uniaxial compression test is conducted. The results indicate that compression of pure foam structure smashed in a ductile manner and shows a lamellar eutectic structure while A365 foams under compression are crashed with brittle character with complex phases distribution inside (polyhedral and globular morphologies), A noticeable enhancement is observed in the mechanical characteristics of the A356 foam. The maximum compressive strength and specific energy absorption of alloyed foam are increased by a factor nearly of 4 and 2 respectively for all tested samples. Also, the result shows a significant decreasing in compressive strength with increasing of PPI for both pure and alloyed foam. The notable enhancements in the properties of alloyed closed cell foam render these advanced materials a viable option for high-strength applications.

On characteristic behavior and flattened chromatic dispersion properties of bent photonic crystal fibers

Abstract In this paper by using modified scalar effective index method, first effective refractive index of straight and bent photonic crystal fibers are determined and then propagation parameters, such as chromatic dispersions for different structural designs of PCF, are obtained. By changing the values of affecting parameters in the bent PCF, such as different bent radius, distance between air holes Λ $\Lambda $ and air-filling factor d / Λ , $d/\Lambda ,$ the chromatic dispersion is determined in terms of propagating wavelengths. The obtained results of bent PCF are compared with the results of straight PCF. The results of the present paper might be useful in designing optical devices and sensing systems.

Osteosarcoma of the mandible and its management: A rare case report

Osteosarcoma is a classical malignant bone-forming neoplasm, characterised by osteoid synthesis by malignant osteoblasts. Osteosarcomas have an aggressive clinical course with a high mortality rate, despite their relatively low risk of distant metastases. The jaw bone is the most common site of occurrence in the head and neck region. These neoplasms often show characteristic clinical behaviours, varied radiological appearances, and a wide-ranging histological growth pattern. Early diagnosis and radical surgery, followed by radiotherapy and chemotherapy if required, have been the treatment of choice. This case report emphasises the importance of early diagnosis of this tumour based on clinical features, radiographic examination, and confirmation by histopathology. Confirmation of the final diagnosis of osteosarcoma often requires a histopathological examination of the multiple biopsy specimens. Adjuvant chemotherapy followed by radical surgery resulted in an excellent prognosis in the present case. Considering the rarity of the neoplasm, its fast progression, and its aggressiveness, the present case report would contribute to a better understanding of osteosarcomas involving the jaw bone and the management of the tumour involving the central arch of the mandible with involvement of the adjacent soft tissue structures.

The Characteristic Behavior and Bifurcation of the Cubic Map

Important characteristics preserved from the standard 1-dimensional cubic map are studied here. Many important features of the original 1-dimensional cubic map have survived, and their behavior is being studied here. Attracting, repelling, and neutral fixed points are analyzed. The use of the map as an aid in the study of period doubling bifurcation has been depicted. On the other hand, map can display an exorbitance of additional behaviors. It can be seen that nearby spots on trajectories move closer together and further apart as time progresses. These are the paths that never seem to settle into regular orbits or stop moving altogether. Modifying the starting conditions even slightly can shift the course of evolution. In reality, patterns drive chaotic systems despite their seemingly nonlinear and unpredictable behavior. Exploring the chaotic behavior of the cubic equation by varying the governing parameters, finding Bifurcation diagrams, etc., are all subtopics of this work, but finding the cubic map is the main focus. Jagannath University Journal of Science, Volume 10, Number I, Jun 2023, pp. 27-42