Physical Terms Research Articles

МАТЕРИАЛЬНО-ТЕХНИЧЕСКОЕ ОБЕСПЕЧЕНИЕ СЕЛЬСКОГО ХОЗЯЙСТВА: СОСТОЯНИЕ, ПРОБЛЕМЫ, НАПРАВЛЕНИЯ СОВЕРШЕНСТВОВАНИЯ

One of the determining conditions for competitive domestic agricultural production in foreign markets is the technical and technological modernization of the industry. However, despite the significance of the problem, over the past two decades, a stable trend of reduction in the number of employees in agricultural organizations in Russia has developed for all types of agricultural machinery. The highest rates of reduction in agricultural machinery were observed until 2010, and in subsequent periods the downward trend has significantly decreased. At the same time, it is not entirely correct to assess the current situation unambiguously, since the reduction in the fleet of machinery and equipment in agricultural organizations is due to certain objective circumstances and conditions: the area of cultivated land and cultivation of specific crops has decreased; the number of animals has decreased; the technical means used have become more energy-intensive and productive, which is especially important in the context of a shortage of personnel in rural areas. In 2018-2022 the production of domestic agricultural machinery in value terms increased by almost 2.5 times, while in physical terms the changes are insignificant. At the same time, domestic mechanical engineering practically does not produce machinery and equipment for pig farming, poultry farming, milk processing, potato harvesters, beet harvesting equipment, equipment for gardening, vegetable growing. As a result of the outstripping rate of disposal of agricultural machinery and equipment over the rate of their production and replenishment, the energy capacity of the industry is declining. The sanctions imposed on the Russian economy have led to increased risks of non-receipt of critical components and spare parts; disruption of stable logistics and distribution chains that have functioned for a long time, their rise in price; revision of contract terms, failure to meet delivery deadlines. Sanctions against the use of foreign high technologies used in precision farming, genetics, selection, enterprise management, etc. have a negative impact on the development of the agro-industrial complex.

Tracing offshore marine ecosystem asset changes based on physical accounting: A case of Xiamen Sea Area

Assessing temporal and spatial changes in marine ecosystem assets is critical for the capitalized management of natural resources and their contribution to human well-being. However, quantifying these changes using different inclusion methods in the System National Account is a challenge. Ecosystem accounting has become a popular topic in recent years, particularly after the System of Environmental and Economic Accounting-Ecosystem Accounting was published in 2021. However, few practical studies have been conducted on offshore marine ecosystem accounting, including marine ecosystem assets and services. This study provides a systematic framework to prioritize the assessment of offshore marine ecosystem assets (extent and condition) in physical terms, including the determined indicators of physical accounts and the presentation of accounting results. We then used this framework to assess marine ecosystem assets in the Xiamen Sea Area selected from 2006 to 2020. The results show that: (a) The extent of the marine ecosystem in Xiamen decreased by 8.34% from 349.64 km2 to 320.49 km2, mainly caused by converting intertidal ecosystem into the land due to the demand for urban and industrial use sea. (b) The area of intertidal vegetation habitats (mangroves and salt marshes) increased from 23.22 hm2 to 132.2 hm2, with an increase of 4.7 times. The results also show that the restoration of the marine ecology in Xiamen has achieved remarkable results. (c) The marine ecosystem condition comprehensive index in Xiamen increased by 3.13% from 0.32 to 0.33. This shows that the marine ecosystem conditions in Xiamen remain well and have even slightly improved under the pressure of a rapidly developing economy and increasing population. This study provides practical technical methods for assessing offshore marine ecosystem in physical term to support integrated coastal management in coastal cities, and is important for assessing marine ecosystem services in the future.

The results of research on technological indicators in the experimental module for growing broiler chickens

Russia ranks fifth in the world in poultry meat production. In the period from 2010 to 2021, the volume of production of this type of product increased by 1.77 times, which in physical terms is 2,190 thousand tons. The largest volume of poultry meat production, 89.7%, falls on the meat of broiler chickens. This indicator is justified by consumer preferences of the retail market, a low feed conversion rate, a high level of automation of production processes, as well as the possibility of up to 8 production cycles per year. The main share, amounting to 93%, of broiler chicken meat production is accounted for by large agricultural enterprises. Households of the population and peasant farms account for 7% of production. This result is observed due to the lack of technical and technological solutions for small-scale production, providing for the use of automation of production processes, which leads to a decrease in productivity and an increase in poultry mortality. The combination of these factors increases the cost of finished products, making small-scale production uncompetitive. To solve this problem, a project has been developed and a prototype of a technological module for fattening broiler chickens has been manufactured. The production capacity of the module is 2,800 broiler chickens per year. The module uses a cellular method of keeping poultry on a mesh flooring. As a result of the conducted studies, the feed conversion rate was 1.66, the cost of water was 3.4 liters, electricity was 3.22 kWh and labor was 0.051 people per kilogram of live weight. The obtained indicators are comparable with those of large poultry farms, which allows us to conclude that it is advisable to use technological modules at small poultry enterprises.

Scientific terms as a part of comparative tropes of modern Russian prose

Modern Russian prose is characterized by the active use of scientific terms from different fields of knowledge, which act as images of comparison for comparative tropes. Such tropes are marked by stylistic emphasis, as they contain new information for the addressee. Comparative tropes are defined as metaphors and similes of various structural types. The purpose of our work is to analyze the use of scientific terms as images of comparison for comparative constructions and determine their functions in the texts of modern Russian prose. The material for the study is the works of E. Vodolazkin, A. Ivanov, A. Ilichevsky, A. Matveeva, V. Pelevin, D. Rubina, A. Salnikova, O. Slavnikova, M. Stepnova, O. Vasyakina and others. The article discusses terms in tropes representing different fields of science: physics, chemistry, mathematics, medicine, biology, physiology, linguistics, literary criticism, art history, and computer science. The most active in the comparative tropes of modern prose are biological, medical, physical and computer terms. The productivity of these terms is associated with the rapid development of these areas of knowledge and their role in modern society. Regarding parts of speech, most of them are substantives. By metaphorizing, terms are subject to determinologization. In prose texts, terms often have distributors that clarify, specify or modify the image of comparison. In modern prose, scientific terms as part of tropes perform a number of functions: the function of figurative characteristics of a person, object or phenomenon, the evaluative function, the text-forming and conceptualizing functions. Scientific terms as part of metaphors and similes replenish and update the literature language.

Multiconstraint quality–probability graph for quality monitoring of laser directed energy deposition manufacturing process

Quality monitoring of the laser directed energy deposition (LDED) manufacturing process by machine vision is essential to improve the reliability and economy of the LDED manufactured parts. For monitoring algorithms, graph-based semi-supervised learning can effectively learn supervised information from labelled data without the requirement of large amounts of manually labelled data. However, traditional graph algorithm for LDED quality monitoring is limited by insufficient use of label supervised information, inadequate consideration of the imbalance data, and lack of physically meaningful explanations and constraints on the propagation process for different types of defects. In this regard, a multiconstraint quality–probability graph (MCQPG) is proposed to monitor the quality during the LDED manufacturing process. MCQPG converts the extracted multifeatures into probability distributions, finds feature sets with similar distributions to the supervised information based on quality level standards, and uses multiconstraints to satisfy few labelled feature data, imbalance data distribution and physical consistency. For physical consistency, a nonlinear defect model is developed for crack and porosity defects, and a novel defect-guided objective prediction function is proposed, resulting in the construction of a quality level standard guided physical consistency constraint term. Experimental studies on several well-known and commonly used monitoring algorithms demonstrate that the proposed MCQPG algorithm achieves 0.96 on all four evaluation metrics (accuracy, precision, recall and F1 score), validating the effectiveness of MCQPG for LDED quality monitoring.

Effects of Surface Layer Physics Schemes on the Simulated Intensity and Structure of Typhoon Rai (2021)

The influences of surface layer (SL) physics schemes on the simulated intensity and structure of Typhoon Rai (2021) are investigated using the WRF model. Numerical experiments using different SL physics schemes—revised MM5 scheme (MM5), Eta similarity scheme (CTL), and Mellor–Yamada–Nakanishi–Niino scheme (MYNN)—are conducted. The results show that the intensity forecast of Typhoon Rai is largely influenced by SL physics schemes, while its track forecast is not significantly affected. All three experiments can successfully capture the movement of Rai, while CTL provides better intensity simulation compared to the other two experiments. The higher ratio of enthalpy exchange coefficient to drag coefficient (CK/CD) in CTL than MM5 and MYNN leads to significantly increased surface enthalpy fluxes, which are crucial for the typhoon intensification of the former. To explore the influence of SL physics on the structural evolution of the typhoon, the azimuthal-mean angular momentum (AM) budget is utilized. The results indicate that asymmetric eddy terms may also largely contribute to the AM tendencies, which are relatively more comparable in the weaker TC for MM5, compared to the stronger TC with the dominant symmetric mean terms for CTL. Furthermore, the extended Sawyer–Eliassen (SE) equation is solved to quantify the transverse circulations of the typhoon induced by different forcing sources for CTL and MM5. The SE solution indicates that the transverse circulation above and within the boundary layer is predominantly induced by diabatic heating and turbulent friction, respectively, for both CTL and MM5, while all other physical forcing terms are relatively insignificant for the induced transverse circulation for CTL, except for the large contribution from the eddy forcing in the upper-tropospheric outflow for MM5. With the stronger connective heating in the eyewall and boundary-layer radial inflow, the linear SE analysis agrees much better with the nonlinear simulation for CTL than MM5.

Numerical Investigation of Track and Intensity Evolution of Typhoon Doksuri (2023)

This study utilized the WRF model to investigate the track evolution and rapid intensification (RI) of Typhoon Doksuri (2023) as it moved across the Luzon Strait and through the South China Sea (SCS). The simulation results indicate that Doksuri has a smaller track sensitivity to the use of different physics schemes, while having a greater intensity sensitivity. Sensitivity numerical experiments with different physics schemes can well capture its northwestward movement in the first two days, but they predict less westward track deflection as the typhoon moves across the Luzon Strait and through the SCS. Moreover, all the experiments successfully simulated Doksuri’s RI, albeit with quite different rates and a time lag of 12 h. Among different combinations of physics schemes, there exists an optimal set of cumulus parameterization and cloud microphysics schemes for track and intensity predictions. Doksuri’s track changes as the typhoon moved across the Luzon Strait and through the SCS were influenced by the topographic effects of the terrain of the Philippines and Taiwan, to different extents. The track changes of Doksuri are explained by the wavenumber-one potential vorticity (PV) tendency budget from different physical processes, highlighting that the horizontal PV advection dominates the PV tendency throughout most of the simulation time due to the offset of vertical PV advection and differential diabatic heating. In addition, this study applies the extended Sawyer–Eliassen (SE) equation to compare the transverse circulations of the typhoon induced by various forcing sources. The SE solution indicates that radial inflow was largely driven in the lower-tropospheric vortex by strong diabatic heating, while being significantly enhanced in the lower boundary layer due to turbulent friction. All other physical forcing terms were relatively insignificant for the induced transverse circulation. The coordinated radial inflow at low levels may have led to the eyewall development in unbalanced dynamics. Intense diabatic heating thus was vital to the severe RI of Doksuri under a weak vertical wind shear.

Evaluation of the effectiveness of electromagnetic field technology in the treatment of urinary incontinence.

Urinary incontinence (UI) is a significant health condition that affects many people, especially women, negatively impacting their quality of life in physical, social, economic, sexual and psychological terms. Defined by the International Urinary Incontinence Society (ICS) as any involuntary loss of urine, UI can be classified into three types: stress urinary incontinence (SUI), which occurs with increased abdominal pressure; urge urinary incontinence (UUI), associated with the urgent sensation of urinating; and mixed urinary in-continence (MUI), a combination of SUI and UUI. In this context, the aim of this study was to identify the improvement in urinary incontinence after 8 sessions of treatment with electromagnetic field technology. This is a retrospective, descriptive and quantitative study, based on the information contained in the medical records and questionnaires of the patients evaluated in the Research and Development Sector of Contourline Equipamentos Médicos e Diagnósticos Ltda, based in the city of Sete Lagoas-MG, between July and October 2023. 12 female patients were treated, with an average age of 34.4. The results showed that Electromagnetic Field technology is capable of safely and effectively treating patients with UI. The treatment was effective, with the majority of participants (90%) experiencing a significant reduction in the frequency or even elimination of urine leakage episodes.

Transient thermal convective and radiative diffusion–reaction of magneto‐metallic Brinkman‐type nanofluid flow with isothermal and ramped temperature impacts

AbstractFluid‐containing nanoparticle research is well‐known for its heat transmission properties due to real‐world applications in various thermal systems. This demonstration shows how time‐dependent magneto‐hydrodynamic (MHD) Brinkman‐type nanofluid can flow through a vertical oscillating absorbent plate immersed in a porous environment. The governing dimensional partial differential system of equations is translated into a non‐dimensional partial differential system with applicable scaling variables. The transient equations governing nanofluid flow's momentum, thermal and mass are solved using the finite semi‐discretization difference line method. The obtained outcomes are validated by comparing them with previous works. Graphical resolutions for momentum, heat, and mass distribution fields are presented to examine essential physical terms with the isothermal and ramped temperature impacts. It was found that magnifying the Brinkman parameter and magnetic parameter brings in a decrement in fluid velocity. In contrast, reversal deportment is exposed with an enlargement of permeability parameters and thermal and solute buoyancy effects. Reynold's number has shown a declining impact in the fluid velocity, but time progress unveiled a contrary tendency. The sprouting radiation parameter deepens the fluid temperature, whereas the rising heat absorption parameter curtails the fluid temperature. The fluid concentration deflates for growing Schmidt number and chemical reactive agent. The wall friction increased with the porosity parameter but has shown a reverse trend with magnetic and Brinkman parameters. Increasing the Prandtl number and heat‐consumption parameter helps to raise the temperature gradient. The concentration gradient lessened on augmentation of chemical reaction and Schmidt number.

Synthesis of the physical neural terms and long short-hour memory for detection of prophylerative retinopathies

The effectiveness of a combination of hypopharyngeal neural measures and long-term short-hour memory in the diagnosis of profilerative retinopathy has been studied. The methods of synthesis of the indicated types of measures are examined. The advantages of the vicorsynthetic neural network ResNeXt-101 have been established using ResNet-101. A neural boundary model has been developed that synthesizes the indicated boundary with the dimension of long-term short-term memory. The model was developed. Indicated by the functioning mechanisms of the specified model. Behind this additional fragmented model is the task of detecting profilerative retinopathy. High indicators of classification accuracy were obtained. Figs.: 3.Tabl.: 2. Refs.: 14 titles.

Structural modal parameter identification with the Power-Exponential window function

In view of the demand for accurate modal identification, and based on the characteristics of free vibration response, this paper introduces a new window function for Fourier Transform called the Power–Exponential window. The Power–Exponential window addresses the characteristics of free vibration response. It significantly enhances the accuracy of modal identification by improving the spectral properties of structural response. The proposed window function consists of exponential and power terms. This study focuses on the additional damping and frequency-domain differentiation introduced by the Power–Exponential window function. The exponential term weakens the boundary effect related to the time-domain truncation and suppresses the spectral leakage. Moreover, it can be interpreted in clear physical terms as providing additional damping to the signal. The power term in the window function corresponds to frequency domain differentiation, and it alleviates the spectral broadening that arises due to the additional damping. Furthermore, the analytical expression for the response spectrum confirms that the Power–Exponential window not only aligns the peak response frequency with the damped natural frequency but also establishes an explicit linear relationship between the actual structural damping ratio and the identification result from the half power bandwidth method. Both contribute to an improved accuracy and usability of certain frequency-domain modal identification methods. The influence of the Power–Exponential window parameters on modal parameter identification is analyzed, and the optimal selection principle and suggested parameter values are proposed. Finally, numerical simulations and an experimental frame model test are conducted to verify the accuracy and validity of modal parameter identification based on the Power–Exponential window.

FeNNol: An efficient and flexible library for building force-field-enhanced neural network potentials.

Neural network interatomic potentials (NNPs) have recently proven to be powerful tools to accurately model complex molecular systems while bypassing the high numerical cost of abinitio molecular dynamics simulations. In recent years, numerous advances in model architectures as well as the development of hybrid models combining machine-learning (ML) with more traditional, physically motivated, force-field interactions have considerably increased the design space of ML potentials. In this paper, we present FeNNol, a new library for building, training, and running force-field-enhanced neural network potentials. It provides a flexible and modular system for building hybrid models, allowing us to easily combine state-of-the-art embeddings with ML-parameterized physical interaction terms without the need for explicit programming. Furthermore, FeNNol leverages the automatic differentiation and just-in-time compilation features of the Jax Python library to enable fast evaluation of NNPs, shrinking the performance gap between ML potentials and standard force-fields. This is demonstrated with the popular ANI-2x model reaching simulation speeds nearly on par with the AMOEBA polarizable force-field on commodity GPUs (graphics processing units). We hope that FeNNol will facilitate the development and application of new hybrid NNP architectures for a wide range of molecular simulation problems.

Cost-efficient finite-volume high-order schemes for compressible magnetohydrodynamics

We present an efficient dimension-by-dimension finite-volume method which solves the adiabatic magnetohydrodynamics equations at high discretization order, using the constrained-transport approach on Cartesian grids. Results are presented up to tenth order of accuracy. The algorithmic architecture of this method is very close to that of commonly employed second-order schemes: it requires only one reconstructed value per face for each computational cell, independently of the scheme's order. This property is highly beneficial for the numerical efficiency. It results from reusing the required values already available in neighboring grid cells, in contrast to standard algorithms that require a number of reconstructions and evaluations which increases with the scheme's order of accuracy. At a given resolution, these high-order schemes present significantly less numerical dissipation than commonly employed lower-order approaches. Thus, results of comparable accuracy are achievable at a substantially coarser resolution, yielding overall performance gains. We also present a way to include physical dissipative terms: viscosity, magnetic diffusivity and cooling functions, respecting the finite-volume and constrained-transport frameworks. Benefits of this method are shown through applications in turbulent flows.

Influence of oscillatory hydromagnetic field with mixed convection driven Sutterby nanofluid flow over a stretching cylinder

A nonlinear mixed convective sutterby nanofluid flow along a stretching cylinder is being studied in this article. The set of partial differential equations (PDEs) that control fluid flow is nonlinear and subject to surface constraints and similarity transformation reduces a system of PDEs to non-dimensional ordinary differential equations (ODEs), which are then solved in MATLAB Bvp5c solver which is based on the Runge–Kutta method and Shooting technique. We provide a graphic evaluation of the significant contributions made by the various physical terms to engineering measurements in the curiosity and transport domains. The study discovers that temperature distribution increases heat border viscosity but reduces thermal diffusion, whereas nonlinear convection heat improves surface heat transfer. The periodic magnetic field raises the fluid temperature while decreasing the rate of energy transfer. Furthermore, experiments have demonstrated that oscillating magnetic fields induce fluctuations with a sinusoidal pattern. Furthermore, the current study has applications in the design and manufacture of cylinder-shaped objects in various fields such as aerospace engineering, geophysics, and nuclear engineering. These include core catchers in nuclear power plant steam turbines, waxy crude oils or foodstuffs in centrifugal pumps, and deformation rates that frequently occur in practical turbomachinery and other industrial processes.

Characterization of Several Pellets from Agroforestry Residues: A Comparative Analysis of Physical and Energy Efficiency

The use of agroforestry biomass provides several advantages, both from an environmental point of view, in terms of the mitigation of global warming, and in terms of a circular economy for agricultural or agroforestry companies that reuse pruning residues as a source of energy. However, even if the use of energy pellets resulting from the pruning residues of various agroforestry species has excellent potential for the valorization of agricultural by-products, the physicochemical characteristics of these pellets have been scarcely studied by the scientific community. In this context, this study aims to assess the valorization potential of various lignocellulosic material residues produced during agroforestry activities. The objectives of the study include evaluating the chemical and physical characteristics of pellets produced with different mixtures of agroforestry biomass (olive, citrus, black locust, poplar, paulownia, etc.) in order to determine the optimal pellet blend from an energy and physicochemical perspective. The results of this study demonstrate that this comprehensive analysis provides valuable information on the optimization of biomass mixtures for better energy valorization, addressing both compositional and combustion-related challenges. In fact, it is observed that the addition of citrus and olive biomass to the various mixtures increases their energy potential. Furthermore, all of the pellets analyzed are found to possess an adequate and useful durability index (PDI) for their handling during storage and transport operations. This study demonstrates that olive and citrus pruning residues can be used to improve biomasses that have poor suitability in energetic, physical, and chemical terms. Further studies could be useful to understand which specific interaction mechanisms have an influence on emissions in order to optimize mixtures using different biomass sources for sustainable energy production.

Study of regional characteristics of agricultural labor productivity: problems, trends, main directions of growth

The results of a study of regional characteristics of labor productivity of workers engaged in agricultural production are presented. The criteria characterizing labor productivity in value and physical terms have been studied. An assessment is made of the efficiency of using production factors (land, labor, capital) in agricultural organizations in the context of a study of regional characteristics of agricultural labor productivity. The results obtained can be used by government agencies in the formation of regional agricultural policy and program documents, including sections on labor productivity in the agroindustrial complex. For agricultural organizations, scientific material may be of interest when planning and forecasting labor indicators, and assessing the effectiveness of activities.

A comparison of models for predicting the maximum spreading factor in droplet impingement

The maximum spreading factor during droplet impact on a dry surface is a pivotal parameter of a range of applications, including inkjet printing, anti-icing, and micro-droplet transportation. It is determined by a combination of the inertial force, viscous force, surface tension, and fluid–solid interaction. There are currently a series of qualitative and quantitative prediction models for the maximum spreading factor rooted in both momentum and energy conservation. However, the performance of these models on consistent experimental samples remains ambiguous. In this work, a comprehensive set of 785 experimental samples spanning the last four decades is compiled. These samples encompass Weber numbers ranging from 0.038 to 2447.7 and Reynolds numbers from 9 to 34 339. A prediction model is introduced that employs a neural network, which achieves an average relative error of less than 16.6% with a standard error of 0.018 08 when applied to the test set. Following this, a fair comparison is presented of the accuracy, generality, and stability of different prediction models. Although the neural network model provides superior accuracy and generality, its stability is weaker than that of Scheller's We-Re-dependent formula, chiefly due to the absence of physical constraints. Subsequently, a physics-informed prediction model is introduced by considering a physical loss term. This model demonstrates comprehensive enhancements compared to the original neural network, and the average relative and standard errors for this model are reduce to 13.6% and 0.010 59, respectively. This novel model should allow for the rapid and precise prediction of the maximum spreading factor across a broad range of parameters for various applications.

Өзбекстандағы тау мұздықтары атауларының қалыптасуының табиғи географиялық негіздері және гляционимдер транскрипциясы мәселелері (Пскем алабының гляционимдери мысалы)

This article focuses on the subject of mountain glaciers in Uzbekistan, including their geographical position, the origin of glacionyms (geographical names of glaciers), their interpretations, and their interrelation with physiographic factors and natural conditions. The analysis is based on the Piskom basin and adjacent areas. In the toponymy of the Piskom basin, physical geographical terms such as “tor”, “say (suv, bulak)”, “ashuv”, “tash”, “bel” and their areas have been determined, and the share of these terms in the formation of toponyms has been determined. Based on the fact that more than 65% of the toponyms of the basin were formed at the expense of the above physical geographical terms, the physical geographical basis of the toponymy of the area has been scientifically proven. Various sources have provided suggestions and recommendations on the writing of Piskom basin glacionyms and their correct use in practice.

Rethinking life and predicting its origin.

The definition, origin and recreation of life remain elusive. As others have suggested, only once we put life into reductionist physical terms will we be able to solve those questions. To that end, this work proposes the phenomenon of life to be the product of two dissipative mechanisms. From them, one characterises extant biological life and deduces a testable scenario for its origin. The proposed theory of life allows its replication, reinterprets ecological evolution and creates new constraints on the search for life.

Nonlinear radiative thermal analysis of magneto-micropolar fluid over a bidirectionally extending sheet with varied thermal conditions

Thermal fluid flow analysis occasioned by stretching surfaces offers practical industrial and engineering applications, such as extrusion and drawing processes and materials experiencing heating and cooling conditions. Thus, this study explores magnetohydrodynamic micropolar fluid flow under varied thermal conditions and nonlinear thermal radiation over a dually stretched sheet subject to surface mass flux and an internal heat source. The study thus provides insight into the dynamics of heat transfer mechanisms for improving material processing techniques in many engineering processes. The flow dynamics with the thermal analysis are evaluated by applying two thermal conditions in the heat equation: the prescribed surface temperature (PST) and the prescribed heat flux (PHF). The formulated partial derivative equations that describe the current problem are changed into ordinary derivatives using some similarity quantities, while the converted equations are tackled with the combined techniques of shooting and Runge–Kutta Fehlberg. Consequently, diverse tables and figures are displayed to deliberate on the impacts of the physical terms on the dynamics of flow and heat transmission processes. The consequence of the analysis reveals a higher heat gradient in the prescribed surface temperature case than the uniform temperature distribution, as the Prandtl number magnifies. The micropolar material term reduces the surface frictional factor and depletes heat transmission, but the magnetic field term raises the skin friction coefficient.