Regular Part Research Articles

Spectral analysis of dispersed multiphase flows in the presence of fluid interfaces

Spectral analysis of dispersed two-phase flows is highly desirable to reveal the interplay of the various flow scales, much larger or much smaller than the size of the dispersed bodies. This is a challenging task as the matching conditions at the body interfaces generate singularities in the fields describing the two-phase mixture. The nature of these singularities and their consequences on the spectra are theoretically analyzed for bubble or droplet flows. Results of direct numerical simulations are reported and spatial spectra of the mixture velocity, the flow forces and their power are examined. The regular part of the spectral densities of energy production, dissipation and transfers between scales are separated from their singular part. The resulting spectral energy balance, free of the footprint of the singularities, is found in agreement with coarse-grained simulations where the interfaces are filtered out before solving the Navier–Stokes equations. These results pave the way for the spectral analysis of more complex turbulent dispersed flows.

An audit of plant-based, ultra processed vegan foods in New Zealand

As concerns grow about the impact of animal farming on the environment, the appeal of plant-based diets has increased(1). The most extreme of these diets is the vegan diet which excludes all animal and insect sourced products. The vegan diet is often lauded as being beneficial for cardiovascular health, with the exclusion of saturated fats from animal meats, and the high intake of fibre from fruit and vegetables. More lately, however, there has been an exponential increase in the availability of vegan ultra-processed (UPFs), ready to eat foods which may not be so heart healthy. This study aimed to audit the vegan-labelled, plant-based meat and dairy analogues (PBMAs and PBDAs) available in New Zealand supermarkets. The objective was to compare the nutrient content against foods of animal origin that these products emulate. The audit was completed between March and June 2022 using a combination of on-site data collection and online sources. Data were collected from New Zealand’s five major supermarkets, Countdown, Fresh Choice, New World, Pak’nSave and Four Square. The audit recorded vegan and plant-based labelled products imitating animal meats (chicken, mince, beef, sausage, burgers, bacon, nuggets), and dairy (milk, cheese, yoghurt). Nutrient composition was taken from the Nutrition Information Panel (NIP) for each product and then a mean (SD) derived from a sample of each category. Nutrient composition for the comparison meat and dairy products was taken from NZ FOODFiles(2). All nutrients were reported per 100g or100ml. The PBMAs generally had higher energy, sodium and fibre, and lower protein than their meat counterparts. For example, plant-based burgers compared with beef burgers had 863kJ vs 761kJ energy, 436g vs 130g sodium, 2.3g vs 1.2g fibre, 15g vs 19g protein per 100g. Total fat and saturated fat were mostly lower in the meat products than in PBMAs, except for sausages. The plant-based milk analogues were lower in protein and fat than dairy milk, except soy (protein) and coconut (fat) milks. PBDAs were either completely lacking in calcium or were fortified to a similar level as dairy milk. Most plant-based cheeses and yoghurts were not fortified with calcium and were higher in energy, total fat and saturated fat than dairy. Vitamin B12 fortification of all plant-based products varied widely but contained less than meats and dairy. The wide range of plant-based UPFs included in this audit demonstrated little or no health advantage over animal derived meats and dairy products. The high salt and saturated fat content of these products suggest increased cardiometabolic risk if consumed as a regular part of the vegan diet despite higher fibre content.

Women and girls with inherited bleeding disorders: Focus on haemophilia carriers and heavy menstrual bleeding.

Raising awareness and improving recognition, accurate classification, and enhanced access to new treatments represent current key challenges for carriers of haemophilia. Women and girls carrying genes for haemophilia often experience significant bleeding and/or low factor levels. The bleeding associated with female haemophilia is frequently overlooked, has a weak correlation with factor levels, and manifests differently than in males, with heavy menstrual bleeding being a predominant symptom. Recent changes in terminology now allow the diagnosis of haemophilia in females with low factor levels and differentiate between symptomatic and asymptomatic carriers of the gene. Observations from real-world experiences and limited clinical trial data have highlighted the positive impact of various new haemophilia treatments for women and girls with clotting factor deficiencies. There is an urgent need for initiatives that increase their access to these treatments and encourage well-designed clinical trials focusing on female-specific outcomes. In women with inherited bleeding disorders, early recognition and optimal management of heavy menstrual bleeding are crucial. However, treatment options and guidance from high-quality clinical trials are currently insufficient. Menstrual health assessment should be a regular part of monitoring women and girls with inherited bleeding disorders throughout their lives, emphasizing the importance of gathering data to improve future management.

A Symmetric Non-Stationary Loop Subdivision with Applications in Initial Point Interpolation

Loop subdivision is a significant surface scheme with wide applications in fields like computer graphics and wavelet. As a type of stationary scheme, Loop subdivision cannot adjust the limit surface directly. In this paper, we present a new way to solve this problem by proposing a symmetric non-stationary Loop subdivision based on a suitable iteration. This new scheme can be used to adjust the limit surfaces freely and thus can generate surfaces with different shapes. For this new scheme, we show that it is C2 convergent in the regular part of mesh and is at least tangent plane continuous at the limit positions of the extraordinary points. Additionally, we present a non-uniform generalization of this new symmetric non-stationary subdivision so as to locally control the shape of the limit surfaces. More interestingly, we present the limit positions of the initial points, both for the symmetric non-stationary Loop subdivision and its non-uniform generalization. Such limit positions can be used to interpolate the initial points with different valences, generalizing the existing result. Several numerical examples are given to illustrate the performance of the new schemes.

Infinitely many solutions for Hamiltonian system with critical growth

Abstract In this article, we consider the following elliptic system of Hamiltonian-type on a bounded domain: − Δ u = K 1 ( ∣ y ∣ ) ∣ v ∣ p − 1 v , in B 1 ( 0 ) , − Δ v = K 2 ( ∣ y ∣ ) ∣ u ∣ q − 1 u , in B 1 ( 0 ) , u = v = 0 on ∂ B 1 ( 0 ) , \left\{\begin{array}{ll}-\Delta u={K}_{1}\left(| y| ){| v| }^{p-1}v,\hspace{1.0em}& \hspace{0.1em}\text{in}\hspace{0.1em}\hspace{0.33em}{B}_{1}\left(0),\\ -\Delta v={K}_{2}\left(| y| ){| u| }^{q-1}u,\hspace{1.0em}& \hspace{0.1em}\text{in}\hspace{0.1em}\hspace{0.33em}{B}_{1}\left(0),\\ u=v=0\hspace{1.0em}& \hspace{0.1em}\text{on}\hspace{0.1em}\hspace{0.33em}\partial {B}_{1}\left(0),\end{array}\right. where K 1 ( r ) {K}_{1}\left(r) and K 2 ( r ) {K}_{2}\left(r) are positive bounded functions defined in [ 0 , 1 ] \left[0,1] , B 1 ( 0 ) {B}_{1}\left(0) is the unit ball in R N {{\mathbb{R}}}^{N} , and ( p , q ) \left(p,q) is a pair of positive numbers lying on the critical hyperbola 1 p + 1 + 1 q + 1 = N − 2 N . \frac{1}{p+1}+\frac{1}{q+1}=\frac{N-2}{N}. Under some suitable further assumptions on the functions K 1 ( r ) {K}_{1}\left(r) and K 2 ( r ) {K}_{2}\left(r) , we prove the existence of infinitely many nonradial positive solutions whose energy can be made arbitrarily large. Our proof is based on the reduction method. The most ingredients of the article are using the Green representation and estimating the Green function and its regular part very carefully. For this purpose, some more extra ideas and techniques are needed. We believe that our method and techniques can be applied to other related problems.

Asymptotic expansion for convection-dominated transport in a thin graph-like junction

We consider for a small parameter [Formula: see text] a parabolic convection–diffusion problem with Péclet number of order [Formula: see text] in a three-dimensional graph-like junction consisting of thin curvilinear cylinders with radii of order [Formula: see text] connected through a domain (node) of diameter [Formula: see text] Inhomogeneous Robin type boundary conditions, that involve convective and diffusive fluxes, are prescribed both on the lateral surfaces of the thin cylinders and the boundary of the node. The asymptotic behavior of the solution is studied as [Formula: see text] i.e. when the diffusion coefficients are eliminated and the thin junction is shrunk into a three-part graph connected in a single vertex. A rigorous procedure for the construction of the complete asymptotic expansion of the solution is developed and the corresponding energy and uniform pointwise estimates are proved. Depending on the directions of the limit convective fluxes, the corresponding limit problems [Formula: see text] are derived in the form of first-order hyperbolic differential equations on the one-dimensional branches with novel gluing conditions at the vertex. These generalize the classical Kirchhoff transmission conditions and might require the solution of a three-dimensional cell-like problem associated with the vertex to account for the local geometric inhomogeneity of the node and the physical processes in the node. The asymptotic ansatz consists of three parts, namely, the regular part, node-layer part, and boundary-layer one. Their coefficients are classical solutions to mixed-dimensional limit problems. The existence and other properties of those solutions are analyzed.

Efficient least squares approximation and collocation methods using radial basis functions

We describe an efficient method for the approximation of functions using radial basis functions (RBFs), and extend this to a solver for boundary value problems on irregular domains. The method is based on RBFs with centers on a regular grid defined on a bounding box, with some of the centers outside the computational domain. The equation is discretized using collocation with oversampling, with collocation points inside the domain only, resulting in a rectangular linear system to be solved in a least squares sense. The goal of this paper is the efficient solution of that rectangular system. We show that the least squares problem splits into a regular part, which can be expedited with the FFT, and a low rank perturbation, which is treated separately with a direct solver. The rank of the perturbation is influenced by the irregular shape of the domain and by the weak enforcement of boundary conditions at points along the boundary. The solver extends the AZ algorithm which was previously proposed for function approximation involving frames and other overcomplete sets. The solver has near optimal log-linear complexity for univariate problems, and loses optimality for higher-dimensional problems but remains faster than a direct solver. A Matlab implementation is available at https://gitlab.kuleuven.be/numa/public/2023-RBF-AZalgorithm.

Acute and Persistent Postoperative Functional Decline in Children with Severe Neurological Impairment: A Qualitative, Exploratory Study.

Children with severe neurologic impairment (SNI) regularly require major surgery to manage their underlying conditions. Anecdotal evidence suggests that children with SNI experience unexpected and persistent postoperative functional changes long after the postoperative recovery period; however, evidence from the perspective of caregivers is limited. The purpose of the study was to explore the functional postoperative recovery process for children with SNI. Eligible participants were English-speaking caregivers of children with SNI between 6 months and 17 years who were nonverbal, Gross Motor Function Classification Scale level IV/V, and who had surgery/procedure requiring general anesthetic at a tertiary children's hospital between 2012 and 2022. Demographic and basic health information were collected via surveys and corroborated by a review of the child's electronic health record. Semi-structured interviews were conducted and a thematic content analysis was used to formulate results. Data from 12 primary caregiver interviews revealed four main themes: (1) functional changes and complications in the child; (2) feeling unprepared; (3) perioperative support; and (4) changes to caregiver roles. Postoperative functional decline in children with SNI was prevalent in our sample. Providing pre-operative information to families to describe this phenomenon should be a regular part of family-informed care.

Unveiling the Benefits of Resistant Starch in Legumes: Overview of Current and Future Prospective

AbstractResistant starch has gained substantial attention in recent years due to its potential health benefits. Among the various sources of RS, legumes have appeared as a prominent and promising contributor. Legumes like beans, lentils, and chickpeas, comprise a unique composition that promotes the resistant starch formation during cooking and processing. The review begins by presenting an overview of resistant starch and its classification based on its structure and digestibility. The mechanisms by which legume‐based resistant starch impacts human health are discussed, including its potential role in controlling postprandial glucose and insulin responses, improve satiety, boost colonic health, and influence lipid metabolism. The promising role of resistant starch from legumes in controlling chronic diseases like obesity, cardiovascular disorders, and type 2 diabetes is also explored. This review briefly covers the recent advancements in regulating the starch biosynthesis pathway through the utilization of RNA interference (RNAi) and CRISPR/Cas9 techniques. In summary, the association between resistant starch and legumes offers a compelling pathway to enhance human health and mitigate the risk of chronic diseases. Legumes as a regular part of the diet can be a viable and effective approach to augment resistant starch intake and harness its potential health‐promoting effects.

Examining the Issues of English-Speaking Skills that University EFL Learners Face

Speaking English is a regular part of the academic routine for EFL students enrolled in Vietnam's top undergraduate English programs. Occasionally, this approach poses numerous issues for first-year undergraduate students at both public and private universities. Despite its significance, not enough information was discovered regarding the difficulties Vietnamese university students have speaking English. One hundred and one students and twelve teachers from six universities participated in the current study, which used mixed methods to investigate the speaking issues encountered by undergraduate students. The outcome demonstrates that English majors at public and private universities encounter numerous difficulties when trying to communicate in the language. But according to this survey, students at public universities have somewhat better English proficiency and experience fewer issues than those at private universities. The participants shared their varied perspectives on how curricula, methods of instruction, and specific institutions might help students overcome their limited proficiency in speaking English. Lastly, the study offers the relevant stakeholders a number of highly detailed recommendations based on the findings.

Frequency-Domain 3D Computer Program for Predicting Motions and Loads on a Ship in Regular Waves

The development of an in-house computer program for determining the motions and loads of advancing ships through sea waves in the frequency domain, is described in this paper. The code is based on the potential flow formulation and originates from a double-body code enhanced with the regular part of the velocity potential computed using the pulsing source Green function. The code is fully developed in C++ language with extensive use of the object-oriented paradigm. The code is capable of estimating the excitation and inertial radiation loads or arbitrary incoming wave frequencies and incidence angles. The hydrodynamic responses such as hydrodynamic coefficients, ship motions, the vertical shear force and the vertical bending moment are estimated. A benchmark container ship and an LNG carrier are selected for testing and validating the computer code. The obtained results are compared with the available experimental data which demonstrate the acceptable compliance for the zero speed whereas there are some discrepancies over the range of frequencies for the advancing ship in different heading angles.

Mental Disorders Among Healthcare Workers During the Coronavirus Pandemic.

Coronavirus disease 2019 (COVID-19) is a disease that has become a regular part of care by health services. In the beginning, health services faced immense pressure due to new disease exposure, irregular schedules, and high work stress for healthcare workers. Unfortunately, their mental health was not adequately safeguarded, and there are few healthcare units that screen staff for depression and anxiety. The objective of this study is to describe the prevalence and factors associated with anxiety and depression diagnoses among healthcare workers during the coronavirus pandemic. Across-sectional study was conducted in which depression (Beck questionnaire) and anxiety (Hamilton questionnaire) were investigated in health staff, after providing informed consent. This study was carried out during November and December 2022. All workers in all areas of a first-level unit were invited to participate in this research, so no sample calculation or sampling technique was required. Statistical analysis was performed using X2 and Student's t-test. Among the 232 workers surveyed, the prevalence of mild anxiety, severe anxiety, and certain levels of depression was 42.1%, 33.5%, and 18.9%, respectively. The study revealed that smoking is associated with a higher risk of anxiety diagnosis (OR=4; CI95%=1.3-12.7). A higherscore on the Hamilton Anxiety Scale (OR=1.07; CI95%=1.04-1.11) as well as not being permanent staff (OR=3.34;CI95%=1.2-9.3) was found associated with depression diagnosis. The SARS-CoV-2 pandemic increased the stress and pressure on healthcare workers. Thus, early detection, timely treatment, and effective prevention measures are necessary for safeguarding health status and the provision of healthcare services.

Counting in qualitative fieldwork: Notes from a large urban park

AbstractThis paper reflects on the practice of counting physical activity in a large urban park as a social research method. Using a page of tabulated numbers from inside my notebook as a launching off point, it discusses how this quantitative method aided my qualitative inquiry. It discusses some of the strengths and weaknesses of the method as well as offering a reflection on how geographers and urban scholars might use counting as a regular part of their research practice. By opening up my notebook I reflect on how I went about assembling evidence as a researcher in my investigation of a busy urban space, and how it helped me to understand the social life of a well‐used park in situ as I developed an argument about conceptualising parks as social infrastructures.

Machining-induced residual stress and deformation during Mg–Li alloy thin-walled rib-web parts milling

The deformation of thin-walled parts based on the lightweight Mg–Li alloy materials caused by machining-induced stress is an important factor hindering the further development of lightweight in the aerospace field. Prediction of the machining-induced residual stress is the key to understand the deformation and derive low-stress machining scheme. In this study, the equivalent cutting deformation loads were applied to substitute the strongly coupled thermal-mechanical behavior between the tool and part to realize the prediction of the machining-induced stress and deformation of thin-walled rib-web part under different milling conditions. The local regular and complex rib-web parts share a same deformation mode, both behave as in-plane bending deformation of the machined surface. The low-stress milling scheme of up milling combined with cryogenic cooling obtained based on the local regular four rid-web thin-walled part was applicable to the prediction of the complex Mg-Li alloy disk rib-web part. Compared with the initial scheme, the maximum stress and deformation displacement based on the low-stress scheme were reduced from 80 to 36 MPa and from 0.04060 to 0.00814 mm, respectively. Finally, the effectiveness of low-stress milling scheme were verified based on the milling and measurement experiments of the complex thin-walled disk rib-web part. These results indicate the effectiveness of the modeling method for thin-walled rib-web parts and prove the results obtained based on the local model can be extended and applied to large complex parts with the same structural type.

A novel framework for an intelligent deep learning based product recommendation system using sentiment analysis (SA)

Social media and e-commerce are the two most prominent and quickly expanding industries today. These two areas exhibit the greatest influence on platform users. Numerous new people sign up for these networks on a daily basis. This platform offers extremely quick user networking and communication. These platforms are used to create an online product-based recommender system that will help grow online business by recommending products. Online product recommendations are entirely dependent on the views, feedback, and comments of consumers. Online recommender systems have become a regular part of consumers’ everyday routines, with their widespread use observed in e-commerce, social networking platforms, and news websites. This paper offers a novel framework for product recommendation based on sentiment analysis (SA) and collaborative filtering (CF). The SA was performed using an LSTM-based model. On the basis of CF, two distinct recommendation systems were built. The proposed SA model was integrated with the best recommendation system to enhance the recommendations. The experimental findings showed that the proposed system for product recommendation outperformed the existing methods. The outcomes demonstrated the potential of combining CF and SA to improve consumer satisfaction and product recommendation in e-commerce systems.

Health Determinants: Healthy People of the UAE 2025 – 2035 Plan

Purpose: The goal of the Healthy People initiative is to improve the health of the nation as a whole by directing efforts that are made at the national level to promote health and prevent sickness (Healthy People, 2023). 
 Methodology: This been a white paper the study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low-cost advantage as compared to field research. The current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.
 Findings: The study found out that promoting a healthier and more informed generation requires health literacy in youngsters. The study also found out that the reduction of obesity among police officers would enhance both their general well-being and their effectiveness at work. The study indicated that a comprehensive road safety program targeting car accidents should be implemented to reduce road accidents
 Unique Contribution to Theory, Practice and Policy: Primary school’s teachers should integrate health education as a regular part of the curriculum, The police department should establish clear and realistic goals and incentives for police officers to participate in the health and wellness programs and drivers should undergo regular training and testing to ensure they follow the traffic rules and regulations. Education authorities should support and facilitate health literacy instruction in primary schools, by providing adequate resources and training, The United Arab Emirates (UAE) government should allocate more funds and resources to support individualized health and wellness programs for police officers, as well as to raise awareness about the risks of obesity and the benefits of physical activity and healthy eating. The government should develop and implement a national road safety strategy that sets clear goals and targets for reducing car accident fatalities and injuries. This strategy should be evidence-based and regularly updated.

Touching the cold in the Little Ice Age

Climate change urges us to reconsider the very cold. Its natural manifestations – ice and snow – are today shrinking elements, and the gravity of melting glaciers and thawing polar regions is indeed deeply worrying for the planet as a whole. In this article questions will be raised concerning how cold was understood and imagined during the Little Ice Age, when the freezing cold was a regular part of the everyday life in large parts of Europe. The very cold became an object of enquiry for natural philosophers in unprecedented ways. The article focuses on Robert Boyle’s New Experiments and Observations touching Cold, or an Experimental History of Cold, begun (London, 1665) and Margaret Cavendish’s Observations upon Experimental Philosophy (London, 1666) and explores early modern English imaginaries of the polar regions, and how they join in the scientific debate on how to understand the cold.

Intelligent and real-time Parking System

With increased use of smart gadgets, the Internet of Things (IoT) has recently become a regular part of everyone’s daily life. Parking spaces have become a significant challenge since the majority of the population in metro cities uses private vehicles more frequently. Because of the most recent technology and the growing popularity of the concept of smart cities, the paper proposes an IoT based smart parking system. This research study focuses on making the best use of the available space, managing traffic effectively, and utilizing resources to their fullest potential. Work has been done in the previous years to improve the smart parking system, and research is still being done to create a system that is both technologically advanced and user-friendly. IoT based real time smart parking system helps the users to order and find the parking slots using Android application and Web Application is designed. The proposed model helps the public with personal vehicles to find parking spaces in specific locations.

Impact of E-Pedagogy in English E-Class in Higher Education of Nepal

Though the use of e-pedagogy in education has been advocated, it had not been well-practiced before the COVID-19 pandemic period in Nepalese education context. In this connection, thisstudy aimsto reflect the context and explore the use and impact of e-pedagogy in terms of access and quality with the practices of it by the university English teachers and students of Nepal during pandemic and post pandemic contexts. The mixed-method research design was used collecting data from an online survey questionnaire and internet based semi-structured interviews among the participants from the teachers (N=20) and students (N=80) of five universities for quantitative data and for qualitative data from two students and two teachers of two the universities of Nepal. The findings of the study revealed that on average, 23.6% of university teachers and students have a positive impact of e-pedagogy where KU followed by MU, TU, PU and FWU teachers and students were found to be using more often it in terms of joining e-class and using resources (30%), interaction (33%), regularity (31%), techno-based learning (average 21.2%:MU–28%), searching internet-based resources (TU–28%), attending online examinations (average 17.4%:KU21%), participating online training/workshop/ conference (average 23.8%:KU–26%), and learner autonomy (average 15.4%:PU-19%) supported by the qualitative data. Furthermore, the use of e-pedagogy in ELT was found to be no longer being used regularly pandemic period onwards and suggested to be practiced as the regular part of teaching and learning in a blended way. Overall, e-pedagogy has had a positive impact on teaching-learning in English e-class during the pandemic period.

Wpływ czynników mechanicznych na wydajność i proces starzenia się kiwona

"The paper discusses the influence of mechanical factors on the performance and aging process of rocking machines, specifically focusing on oilfield equipment such as the downhole rod pump jack. The authors emphasize the importance of analyzing the condition and aging process of oilfield equipment to ensure reliability, safety, and efficiency in oil production processes. The mechanical factors discussed in the paper include vibrations, loads, wear, and corrosion. Vibrations can be caused by improper balance, bearing failures, or other factors, and they have a negative impact on equipment performance and can lead to breakdowns. High mechanical loads associated with raising and lowering sucker rods can cause wear and damage to the pump jack. Operating in harsh environments with sand, abrasive particles, or chemicals can also cause wear on surfaces and equipment parts. Corrosion of metal components can occur due to moisture, chemical attack, or improper storage and maintenance, leading to deterioration and breakage of equipment. The consequences of these mechanical factors on the aging of an oil pump jack include accelerated aging, decreased performance, and an increased risk of accidents. Continuous exposure to vibration, stress, wear, and corrosion accelerates the aging process, resulting in deterioration and reduced equipment life. Damage and breakdowns caused by mechanical factors lead to decreased efficiency, negatively impacting oil production processes. Moreover, insufficient maintenance and failure to address mechanical influences increase the risk of accidents, downtime, and damage to other parts of the manufacturing process. To assess the health and aging status of an oil pump jack, various analysis and diagnostic methods are used, including visual inspection, strength testing, monitoring of parameters, and non-destructive testing. Visual inspection helps identify visible damage, wear, and defects. Strength testing evaluates the reliability of pump jack parts and identifies potential issues. Monitoring parameters like vibrations, temperature, and pressure allows for detecting deviations from normal operation and preventing breakdowns. Non-destructive testing methods such as ultrasonic testing, magnetic particle testing, and radiography help identify hidden defects and damage. The authors recommend several strategies to maintain the reliability and efficiency of an oil pump jack. These strategies include implementing a preventive maintenance program with regular inspection, testing, and parts replacement based on manufacturer’s recommendations and equipment condition analysis. Determining optimal service and part replacement intervals based on historical data, monitoring results, and manufacturer’s recommendations is crucial. Additionally, utilizing more durable materials, anti-corrosion coatings, improved designs, and technologies can increase equipment resistance to mechanical stress and improve performance. The paper also describes the device and components of a pump jack, such as the installation base, platform, balancer, electric motor, crank, connecting rod, and control station. It emphasizes the importance of considering various characteristics when selecting and evaluating the effectiveness of a pump jack, including working load, maximum plunger stroke, reducer dimensions, output torque, and swing frequency. The kinematics of the pump jack drive system are discussed, highlighting the need for reconfiguration to adapt to changing operating conditions and optimize oil production performance. Overall, the paper emphasizes the importance of analyzing mechanical factors, managing the aging process, and implementing maintenance strategies to ensure the reliable and efficient operation of oilfield equipment, specifically the pump jack used in oil production processes.