Vector Propagation Research Articles

Oncolytic Viruses: From Basics to Challenges to Innovation

The landscape of cancer therapeutics has undergone a transformative shift from broad approaches, such as radiation and chemotherapy, to more precise strategies, encompassing small molecule kinase inhibitors and monoclonal antibodies targeting immune checkpoint molecules. Oncolytic viruses (OVs) have recently emerged as a promising and viable option for cancer immunotherapy, particularly for “cold” tumors entrenched in an immunologically-suppressive tumor microenvironment. Genetic attenuation refines the characteristics of OVs, replacing specific genes to enhance conditional viral replication within tumor cells. Despite their potential, the therapeutic use of OVs faces challenges such as pre-mature elimination by the immune system of the host alongside the dense stromal barriers. In this review article, the strategic encapsulation of genetically-engineered OVs within intra-lesional/-tumoral carriers/ vehicles such as mesenchymal stem cells are explored. To further enhance vector delivery strategies and precise targeting, protecting/shielding OVs from host immune responses, via utilizing release-controlled nanoparticles and employing nanofilaments to optimize vector propagation, for example, are discussed. Such innovative approaches not only mitigate challenges related to pre-mature viral clearance and stromal barriers yet also facilitates a localized, controlled, and sustained release of OVs, thereby optimizing their therapeutic bio-safety and -impact. Ongoing clinical investigations are exploring the synergies between OVs and carriers/delivery systems, combined with various anti-cancer therapeutics as radiotherapy, chemotherapy, immune checkpoint inhibitors, and monoclonal antibodies. These studies hold promise for revolutionizing cancer treatment, ensuring both safety and efficacy, aiming to advance bio-pharmaceutical delivery systems from bench-top to bed-side for enhanced therapeutic results, improved patient survival, and enhanced quality of life or QoL.

Learning Joint 2-D and 3-D Graph Diffusion Models for Complete Molecule Generation.

Designing new molecules is essential for drug discovery and material science. Recently, deep generative models that aim to model molecule distribution have made promising progress in narrowing down the chemical research space and generating high-fidelity molecules. However, current generative models only focus on modeling 2-D bonding graphs or 3-D geometries, which are two complementary descriptors for molecules. The lack of ability to jointly model them limits the improvement of generation quality and further downstream applications. In this article, we propose a joint 2-D and 3-D graph diffusion model (JODO) that generates geometric graphs representing complete molecules with atom types, formal charges, bond information, and 3-D coordinates. To capture the correlation between 2-D molecular graphs and 3-D geometries in the diffusion process, we develop a diffusion graph transformer (DGT) to parameterize the data prediction model that recovers the original data from noisy data. The DGT uses a relational attention mechanism that enhances the interaction between node and edge representations. This mechanism operates concurrently with the propagation and update of scalar attributes and geometric vectors. Our model can also be extended for inverse molecular design targeting single or multiple quantum properties. In our comprehensive evaluation pipeline for unconditional joint generation, the experimental results show that JODO remarkably outperforms the baselines on the QM9 and GEOM-Drugs datasets. Furthermore, our model excels in few-step fast sampling, as well as in inverse molecule design and molecular graph generation. Our code is provided in https://github.com/GRAPH-0/JODO.

Convective Phenomenes in the Context of Meso-β-scale Convective Structures

This review article presents the results of radar studies of convective phenomena in Moldavia and the North Caucasus using Eulerian (ECS) and Lagrangian (LCS) coordinate systems. Application of the Lagrangian approach allowed us to exclude the influence of the tropospheric displacement and to obtain integral grid patterns of thunderstorm-hail processes. These structures are especially well manifested at small wind shears (up to 1 m/sec/km). At large shears, the mesh structures are transformed predominantly into linear structures. The methodology for obtaining integral pictures of radio echoes of thunderstorm processes is described. Intersections of linear elements, which we call faces, occur at nodes. The latter plays a particularly important role in the dynamics and kinematics of convective storms. The latter play a particularly important role in the dynamics and kinematics of convective storms. The development of storms occurs along the facets and at the nodes of meso-β-scale convective structures (MMCS), which explains the mechanisms of splitting and merging of storms: in the first case the facets diverge, in the second case they converge. The relations of motion vectors for different types of storms are obtained. It is shown that the direction of the radio echo canopy coincides with the storm motion trajectory; the evolution vector (propagation) for the most powerful storms deviates from the storm displacement direction by 80°–135°. The structure of the updated band within which the Flanking Line is formed for supercells and multicells is studied. Mnemonic rules have been derived that allow one to infer from instantaneous patterns of anvil orientation and the mutual location of storms whether they are converging or diverging, and to identify left- or right-moving storms. A hypothesis on the internal structure of the cold front of the 2nd kind is stated. The main conclusion of the work is that the evolution of storms is determined by the configuration of meso-β-scale convective structures. This explains various convective phenomena from unified positions. The results are applicable in works on modification of convective cloudiness, for ultra-short-term forecasts of dangerous phenomena, storm warnings of the population, rescue services, etc.

Improved weight initialization for deep and narrow feedforward neural network

Appropriate weight initialization settings, along with the ReLU activation function, have become cornerstones of modern deep learning, enabling the training and deployment of highly effective and efficient neural network models across diverse areas of artificial intelligence. The problem of “dying ReLU,” where ReLU neurons become inactive and yield zero output, presents a significant challenge in the training of deep neural networks with ReLU activation function. Theoretical research and various methods have been introduced to address the problem. However, even with these methods and research, training remains challenging for extremely deep and narrow feedforward networks with ReLU activation function. In this paper, we propose a novel weight initialization method to address this issue. We establish several properties of our initial weight matrix and demonstrate how these properties enable the effective propagation of signal vectors. Through a series of experiments and comparisons with existing methods, we demonstrate the effectiveness of the novel initialization method.

Novel polymorphisms in the octopamine receptor gene of amitraz resistant population of Rhipicephalus sanguineus sensu lato, in south India

The brown dog tick or Rhipicephalus sanguineus sensu lato is an ixodid tick, responsible for the dissemination of pathogens that cause canine infectious diseases besides inflicting the direct effects of tick bite. The hot humid climate of Kerala, a south Indian state, is favorable for propagation of tick vectors and acaricides are the main stay of tick control. Though the resistance against synthetic pyrethroids is reported among these species, the status of amitraz resistance in R. sanguineus s. l. in the country is uncertain due to the lack of molecular characterisation data and scarce literature reports. Hence the present study was focused on the phenotypic detection and preliminary genotypic characterisation of amitraz resistance in the R. sanguineus s. l. A modified larval packet test (LPT) on a susceptible isolate was performed to determine the discriminating dose (DD). Further LPT-DD on 35 tick isolates was carried out to detect amitraz resistance robustly, along with that full dose response bioassays on the resistant isolates were performed. The results indicated that amitraz resistance is prevalent with 49 per cent of the samples being resistant. Amplification of exon 3 of octopamine receptor gene from both the susceptible and resistant larval isolates was carried out. Amplicons of ten pooled amitraz susceptible and ten pooled amitraz resistant representative samples were sequenced and analysed, unveiling a total of three novel non-synonymous mutations in the partial coding region at positions V32A, N41D and V58I in phenotypically resistant larval DNA samples. In silico analysis by homology modelling and molecular docking of the mutated and unmutated receptors showed that these mutations had reduced the binding affinity to amitraz. However, lack of mutations in the octopamine receptor gene in three of the pooled low order resistant R. sanguineus s. l. larval samples could be suggestive of other mechanisms associated with amitraz resistance in the region. Hence, further association studies should be carried out to confirm the association of these mutations with target insensitivity in R. sanguineus s. l. ticks, along with exploring the status of metabolic resistance and other mechanisms of resistance.

Design of Market Waste Biodigester as an Effort to Produce Renewable Energy for Climate Change Mitigation Strategy

The mismanagement of solid waste transportation to landfills contributes to various environmental issues, including increased greenhouse gas (GHG) emissions, propagation of disease vectors, aesthetic degradation, and interference with market activities. Addressing these challenges necessitates efficient waste processing at the source to mitigate waste accumulation at temporary dump sites and reduce GHG emissions. This study proposes the design of an integrated anaerobic digester at Pasar Kemiri Muka, specifically selected for its ability to convert organic waste into renewable energy. The anaerobic process is advantageous as it produces methane with a high calorific value, suitable for generating electricity. The generated electricity is then utilized to improve street lighting in the market area, which currently suffers from insufficient and poor-quality lighting. The proposed system is designed to power 14 LED street lights, requiring only 10m² for installation and incurring an operational cost of IDR 525,000. This approach not only provides a sustainable energy source but also enhances local infrastructure, contributing to a cleaner and more efficient market environment.

THE INCREASE IN THE NUMBER OF DENGUE CASES IN BRAZIL AND THE CORRELATION WITH DEFORESTATION AND GLOBALIZATION

Brazil has faced a significant increase in the number of dengue cases in recent decades, which represents a challenge for public health authorities. Several factors may contribute to this increase, including deforestation and globalization, which have a direct impact on the proliferation of the Aedes aegypti mosquito, the dengue vector. The aims of this study are to investigate the relationship between increased deforestation and globalization and the increase in dengue cases in Brazil and to analyse the mechanisms by which deforestation and globalization can influence the spread of dengue. The methodology in question is a systematic review, using the narrative method, using quantitative and qualitative factors to reach the expected result. The DataSus/Tabnet, Terrabrasilis, PubMed, Scopus, Web of Science and Virtual Health Library databases were also used, using the health sciences descriptors “Dengue hospitalizations”, “Deforestation and Arboviruses”, “Deforestation and Dengue” and “Globalization and Dengue”, totalling 84 works and 8 works of literature were used in the formulation of this review and 2 references were formulated through the quantitative databases. Deforestation can increase the incidence of dengue, as it creates favorable environments for the reproduction of the transmitting mosquito, such as the accumulation of water in tires, cans and abandoned containers. In addition, deforestation can lead to the migration of populations from rural to urban areas, increasing exposure to endemic areas of the disease. Globalization can also contribute to the increase in dengue cases by facilitating the transport of infected people and the mosquito vector between different regions. Increased international trade and tourism can expand the spread of the dengue virus to new areas. The increase in the number of dengue cases in Brazil is related to deforestation and globalization, which create favourable conditions for the propagation of the mosquito vector and the spread of the dengue virus between different regions. Disease control measures must take these factors into account and include actions to monitor deforestation, vector control and public health education in order to reduce the incidence of dengue in the country.

Anomalies in the magnetostrictive modulation of love surface acoustic waves

A magnetic surface acoustic wave (SAW) sensor is built by growing a 100 nm galfenol (Fe72Ga28) film by sputtering between the interdigitated transducers of a SAW delay line. Love waves are produced when the shear waves excited on the piezoelectric substrate are guided by a 3.1 μm layer of amorphous SiO2. Due to the magnetostrictive nature of galfenol deposited on top, the application of magnetic fields modulates the propagation of the mechanical excitations along the sensor by the strain coupling. By introducing the delay line in a feedback loop circuit, these changes are studied as resonant frequency variations. Magnetic field cycles of ±40 mT are applied to the sample and the resonant frequency shift is tracked simultaneously. The sensor exhibited hysteretic frequency behavior that depends on the orientation of the applied magnetic field relative to the direction of Love wave propagation. In the configuration in which the wave vector and the applied field form an angle of 45°, the resonant frequency seems to increase with the magnetization induced by the external field. When the wave vector propagation is parallel to the field, two positive peaks appear close to the coercive field of the film, which has not been reported before. This is probably due to a more complex relationship between the acoustic wave and the magnetic state of the film which could be exploited to give rise to new models of magnetic sensors.

A Glove-Wearing Detection Algorithm Based on Improved YOLOv8.

Wearing gloves during machinery operation in workshops is essential for preventing accidental injuries, such as mechanical damage and burns. Ensuring that workers are wearing gloves is a key strategy for accident prevention. Consequently, this study proposes a glove detection algorithm called YOLOv8-AFPN-M-C2f based on YOLOv8, offering swifter detection speeds, lower computational demands, and enhanced accuracy for workshop scenarios. This research innovates by substituting the head of YOLOv8 with the AFPN-M-C2f network, amplifying the pathways for feature vector propagation, and mitigating semantic discrepancies between non-adjacent feature layers. Additionally, the introduction of a superficial feature layer enriches surface feature information, augmenting the model's sensitivity to smaller objects. To assess the performance of the YOLOv8-AFPN-M-C2f model, this study conducted multiple experiments using a factory glove detection dataset compiled for this study. The results indicate that the enhanced YOLOv8 model surpasses other network models. Compared to the baseline YOLOv8 model, the refined version shows a 2.6% increase in mAP@50%, a 63.8% rise in FPS, and a 13% reduction in the number of parameters. This research contributes an effective solution for the detection of glove adherence.

Afghanistan\'s tick-borne crimean-congo hemorrhagic fever epidemiology

Over the past decades, Afghanistan has encountered several serious healthcare difficulties. One of these occurrences, a lethal endemic of Crimean Congo Hemorrhagic Fever (CCHF), hit Afghanistan in 1998. A broad assessment of the literature reveals a number of characteristics that put the people of Afghanistan at a very high risk of developing CCHF. First off, the nation's poor healthcare system is now ill-equipped to handle difficulties of this kind. Medical institutions and healthcare personnel lack the necessary tools to correctly diagnose, treat, and prevent CCHF. Second, a significant percentage of people is ignorant about the vector's propagation and methods of control. Afghanistan has a major agricultural industry, and as a result, many individuals are active in caring for animals and handling cattle, which can result in the spread of the CCHF virus. Finally, during the past 20 years of the republican government of Afghanistan after the initial tenure of the Taliban's government as a result of the Afghan war, a sizable number of Afghan refugees returned to Afghanistan from Pakistan, a nation where CCHF is endemic. This increased Afghanistan's vulnerability. This literature review identifies probable causes of high-risk CCHF and offers suggestions that Afghan policy-makers may desire to take into account in order to ameliorate the existing situation.

Unstable propagation of hydraulic fractures under varying well spacing and initiation sequence of multiple horizontal wells considering shear stress shadows

PurposeMulti-well hydrofracturing is an important technology to create new fractures and expand existing fractures to increase reservoir permeability. The propagation morphology of the fracture network is affected by the disturbance between the fractures initiation sequences and spacings between adjacent wells. However, it remains unclear how well spacing and initiation sequences lead to fracture propagation, deflection and connection.Design/methodology/approachIn this study, the thermal-hydro-mechanical coupling effect in the hydrofracturing process was considered, to establish a finite element-discrete element model of multistage hydrofracturing in a horizontal well. Using typical cases, the unstable propagation of hydraulic fractures in multiple horizontal wells was investigated under varying well spacing and initiation sequences. Combined with the shear stress shadow caused by in situ stress disturbed by fracture tip propagation, the quantitative indexes of fracture propagation such as length, volume, displacement vector, deflection and unstable propagation behavior of the hydrofracturing fracture network were analyzed.FindingsThe results show that the shear stress disturbance caused by multiple hydraulic fractures is a significant factor in multi-well hydrofracturing. Reducing the spacing between multiple wells increases the stress shadow area and aggravates the mutual disturbance and deflection between the fractures. The quantitative analysis results show that a decrease of well spacing reduces the total length of hydraulic fractures but increases the total volume of the fracture; compared with sequential and simultaneous fracturing, alternate fracturing can effectively reduce stress shadow area, alleviate fracture disturbance and generate larger fracture propagation length and volume.Originality/valueThe numerical models and results of the unstable propagation and stress evolution of the hydraulic fracture network under thermal-hydro-mechanical coupling obtained in this study can provide useful guidance for the evaluation and design of rock mass fracture networks in deep unconventional oil and gas reservoirs.

Nonlinear waves at the free surface of flexible mechanical metamaterials

In this Letter, we investigate the propagation of nonlinear pulses along the free surface of flexible metamaterials based on the rotating squares mechanism. While these metamaterials have previously been shown to support the propagation of elastic vector solitons through their bulk, here, we demonstrate that they can also support the stable propagation of nonlinear pulses along their free surface. Furthermore, we show that the stability of these surface pulses is higher when they minimally interact with the linear dispersive surface modes. Finally, we provide guidelines to select geometries that minimize these interactions.

Climate zones are a key component of the heterogeneous presentation of malaria and should be added as a malariometric for the planning of malaria elimination.

Malaria is a climate-sensitive disease and different climatic conditions affect the propagation of malaria vectors thereby influencing malaria incidence. The present study was undertaken to delineate malaria distribution across different climate types and sub-types in India and assess its significance as a malariometric in the ongoing elimination activities. All Indian districts were classified into three major climatic zones (Tropical, Temperate, and others (Arid, Cold, and Polar) based on the Köppen-Geiger climate classification system. The Annual Parasite Incidence (API) of malaria was analyzed in these climatic zones using the Kruskal Wallis test, and a post hoc comparison was done using the rank-sum test with an adjusted p-value for the level of significance. Further logistic regression was used to investigate the association of these climatic zones with high malaria incidence (i.e., API>1). The majority of Indian districts fall in Temperate (N = 270/692 (39.0%)) and Tropical (N = 260/692 (37.6%)) regions, followed by Arid (N = 140/692 (20.2%)), Polar (N = 13/692 (1.9%)) and Cold (N = 9/692 (1.3%)) regions. Three climate zones: Arid, Polar, and Cold were similar in terms of malaria incidence over the years and thus were grouped into one. It was found that the tropical and temperate zones display a significantly higher burden of malaria as compared to others for the studied years (2016-2021). Future projections of climate suggest a significant expansion of tropical monsoon climate towards central and northern India, along with a growing footprint of tropical wet savannah climate in the northeast of India by 2100, which could increase the risk of malaria transmission in these regions. The heterogeneous climatic zones of India play an important role in malaria transmission and can be used as a malariometric for the stratification of districts destined for malaria elimination.

Dengue fever in Nigeria: a mini review

Dengue is a disease caused by dengue virus. It is a major mosquito-borne viral disease of humans that is endemic in areas of tropical and subtropical regions, which are environmentally suitable for vector propagation. The disease poses a major threat to the overwhelmed and weak public healthcare delivery system in the developing world, especially in Africa where febrile illnesses are common. The disease undermines the fight against febrile illnesses as infection with dengue often remains undetected or misdiagnosed as malaria or other febrile diseases. This review article highlights dengue epidemiology in Nigeria, dengue transmission dynamics, pathogenesis, diagnosis and current interventions strategies, challenges in addressing dengue infection and future prospects towards dengue elimination. The literature search for publications on dengue virus infection in Nigeria was performed using Google Scholar, PubMed, Web of Science, African Journals Online and other scholarly online databases. Dengue remains a threat to Nigeria and other African countries. In Nigeria, the occurrence of this infection remains a low priority in the public health sector even though it has been reported in about 17 states across the country. The reports of dengue infection in all the geo-political zones suggests active transmission of dengue, hence the need to consider other etiologies of febrile illnesses and engage the public to sustain local involvement as local risk to dengue outbreaks is linked to the population’s knowledge, attitude and behavioral practices that encourage vector breeding

Extending the extended dynamic mode decomposition with latent observables: the latent EDMD framework

Bernard O Koopman proposed an alternative view of dynamical systems based on linear operator theory, in which the time evolution of a dynamical system is analogous to the linear propagation of an infinite-dimensional vector of observables. In the last few years, several works have shown that finite-dimensional approximations of this operator can be extremely useful for several applications, such as prediction, control, and data assimilation. In particular, a Koopman representation of a dynamical system with a finite number of dimensions will avoid all the problems caused by nonlinearity in classical state-space models. In this work, the identification of finite-dimensional approximations of the Koopman operator and its associated observables is expressed through the inversion of an unknown augmented linear dynamical system. The proposed framework can be regarded as an extended dynamical mode decomposition that uses a collection of latent observables. The use of a latent dictionary applies to a large class of dynamical regimes, and it provides new means for deriving appropriate finite-dimensional linear approximations to high-dimensional nonlinear systems.

Characterization, genome analysis and genetic tractability studies of a new nanocellulose producing Komagataeibacter intermedius isolate

Bacterial nanocellulose (BC) is a highly versatile biopolymer currently pursued as a material of choice in varied themes of biomedical and material science research fields. With the aim to extend the biotechnological applications, the genetic tractability of the BC producers within the Komagataeibacter genus and its potential as an alternative host chassis in synthetic biology have been extensively studied. However, such studies have been largely focused on the model Komagataeibacter spp. Here, we present a novel K. intermedius strain capable of utilizing glucose, and glycerol sources for biomass and BC synthesis. Genome assembly identified one bacterial cellulose synthetase (bcs) operon containing the complete gene set encoding the BC biogenesis machinery (bcsI) and three additional copies (bcsII–IV). Investigations on the genetic tractability confirmed plasmid transformation, propagation of vectors with pBBR1 and p15A origin of replications and constitutive and inducible induction of recombinant protein in K. intermedius ENS15. This study provides the first report on the genetic tractability of K. intermedius, serving as starting point towards future genetic engineering of this strain.

Frozen propagation of Reynolds force vector from high-fidelity data into Reynolds-averaged simulations of secondary flows

Successful propagation of information from high-fidelity sources (i.e., direct numerical simulations and large-eddy simulations) into Reynolds-averaged Navier–Stokes (RANS) equations plays an important role in the emerging field of data-driven RANS modeling. Small errors carried in high-fidelity data can propagate amplified errors into the mean flow field, and higher Reynolds numbers worsen the error propagation. In this study, we compare a series of propagation methods for two cases of Prandtl's secondary flows of the second kind: square-duct flow at a low Reynolds number and roughness-induced secondary flow at a very high Reynolds number. We show that frozen treatments result in less error propagation than the implicit treatment of Reynolds stress tensor (RST), and for cases with very high Reynolds numbers, explicit and implicit treatments are not recommended. Inspired by the obtained results, we introduce the frozen treatment to the propagation of the Reynolds force vector (RFV), which leads to less error propagation. Specifically, for both cases at low and high Reynolds numbers, the propagation of RFV results in one order of magnitude lower error compared to the RST propagation. In the frozen treatment method, three different eddy-viscosity models are used to evaluate the effect of turbulent diffusion on error propagation. We show that, regardless of the baseline model, the frozen treatment of RFV results in less error propagation. We combined one extra correction term for turbulent kinetic energy with the frozen treatment of RFV, which makes our propagation technique capable of reproducing both velocity and turbulent kinetic energy fields similar to high-fidelity data.

Risk Assessment and Impact of Floods on the Transmission of Vector Borne Diseases

Floods are the result of natural disasters in an area due to prolonged continued and heavy rains and are frequently followed by a proliferation of mosquitoes due to the creation of a large number of breeding habitats. In the endemic zones for VBDs, vector mosquito species require special attention for planning immediate control measures as these areas may pose a threat to public health. Natural disasters continue to strike unabated, flash floods due to heavy rains, riverine floods,coastal floods and cloud burst floods. In general, floods are witnessed due to the concentrated spells of heavy rains during the monsoon months and seasonal disturbances. The low lying areas are submerged under water and remain water logged for a long duration. Slowly, the low lying water bodies thus created after receding of flood water, act as a breeding potential source for the vector mosquitoes. Some of the areas receive water from flushing of water from high altitude areas due to heavy rains or melting of ice. There is definite need for public health preparedness and response for the flood affected areas to reduce the transmission of VBDs with proper risk assessment. There are chances for the onset of transmission of VBDs to the population shifted to temporary shelter homes away from homes. Given the situation with the presence of congenial conditions owing to presence of favourable climatic variables for propagation of vectors, pathogens and susceptible population, there are chances of disease outbreaks. Therefore, the risk assessment of the flood affected area with the vulnerable population is essential to make preparedness and response to any onset of VBDs transmission. Disease and vector surveillance are the key elements to be in place for such flood affected areas during and after the floods.

On exponential stability of a class of descriptor continuous linear 2D Roesser models

This article is dedicated to the exponential stability of a class of descriptor continuous Roesser 2D linear models. One of the two dimensions is privileged so that the exponential stability must be mainly understood as the vanishing propagation of the state vector along that dimension. This stability is analysed through a tractable test based upon Linear Matrix Inequalities (LMI).

Closed-form invariant solutions from the Lie symmetry analysis and dynamics of solitonic profiles for (2 + 1)-dimensional modified Heisenberg ferromagnetic system

This paper studies the ([Formula: see text])-dimensional modified Heisenberg ferromagnetic (MHF) system, which describes the different nonlinear dynamical structures for long water-waves of small amplitude with weakly nonlinear restoring forces and high-frequency dispersion. This MHF system arises in the propagation of the magnetization vector of the isotropic ferromagnet and biological pattern formation. By employing the Lie symmetry analysis method, infinitesimal generators, Lie point symmetries, potential vector fields, commutation relations of infinitesimal vectors, and attractive symmetry reductions are derived. Based on the two phases of Lie similarity reductions, ([Formula: see text])-dimensional MHF system is reduced to various nonlinear ordinary differential equations (ODEs). Afterwards, with the help of symbolic computation, we solve the acquired ODEs and obtain a variety of exact closed-form solutions involving arbitrary independent functions and other constant parameters. The physical features of the obtained multi-wave soliton solutions are demonstrated to analyze the impact of the involved arbitrary independent functions on the dynamics of the solitary wave solutions via three-dimensional graphics. These exact solutions are accomplished in the shapes of single solitons, doubly solitons, multi-wave solitons, elastic behavior of multisoliton, oscillating multi-solitons, curved-shaped periodic solitons, and kink-type solitons, and so on. The newly constructed results show the trustworthiness, reliability, and efficiency of the Lie symmetry technique for obtaining the invariant closed-form solutions to nonlinear governing model. Moreover, conservation laws and self-adjoint systems have been obtained by implementing Noether’s technique. By using Lie symmetry analysis, the achieved outcomes might be helpful to understand the physical formation of this model and confirm the effectiveness and authenticity of the mentioned method.