Complete Comprehension Research Articles

A complete comprehension of InGaAs capping layer deposition on InAs quantum dots by comparison of simulations, luminescence and X-ray diffraction

The mechanism of incorporation of InGaAs capping layer on InAs Quantum dots (QDs) are unclear in most of the literature studies. Various studies suggest vertical strain relaxation to be the cause of the longer wavelength emission of the dots. On the other hand, some suggest preferential In segregation on the periphery of QDs to be the reason for the enhancement of the dot size. In this study, the strain profile, electronic bands, and eigenstates of InAs QDs, with various InGaAs capping layer thickness, have been simulated using nextnano3 software. Further, the structures are grown by a molecular beam epitaxy (MBE) system. Comparison of ground-state emission energy obtained from PL and simulations, proves that strain relaxation alone is not sufficient to explain the shift in the emission wavelength, and indicate presence of a growth mechanism which alters the size of the QDs. From the in-plane and out-plane High-Resolution X-Ray Diffraction (HR-XRD) results, we have explained the complete dynamics involved in the InGaAs capping deposition, which was unclear in the literature up-to-date. Advantages of incorporation of InGaAs capping on the dots, like decrease in strain and defects, preservation of In, and increased activation energy are also observed in the study.

Genome sequencing and metabolic network reconstruction of a novel sulfur-oxidizing bacterium Acidithiobacillus Ameehan.

Sulfur-oxidizing bacteria play a crucial role in various processes, including mine bioleaching, biodesulfurization, and treatment of sulfur-containing wastewater. Nevertheless, the pathway involved in sulfur oxidation is highly intricate, making it complete comprehension a formidable and protracted undertaking. The mechanisms of sulfur oxidation within the Acidithiobacillus genus, along with the process of energy production, remain areas that necessitate further research and elucidation. In this study, a novel strain of sulfur-oxidizing bacterium, Acidithiobacillus Ameehan, was isolated. Several physiological characteristics of the strain Ameehan were verified and its complete genome sequence was presented in the study. Besides, the first genome-scale metabolic network model (AMEE_WP1377) was reconstructed for Acidithiobacillus Ameehan to gain a comprehensive understanding of the metabolic capacity of the strain.The characteristics of Acidithiobacillus Ameehan included morphological size and an optimal growth temperature range of 37-45°C, as well as an optimal growth pH range of pH 2.0-8.0. The microbe was found to be capable of growth when sulfur and K2O6S4 were supplied as the energy source and electron donor for CO2 fixation. Conversely, it could not utilize Na2S2O3, FeS2, and FeSO4·7H2O as the energy source or electron donor for CO2 fixation, nor could it grow using glucose or yeast extract as a carbon source. Genome annotation revealed that the strain Ameehan possessed a series of sulfur oxidizing genes that enabled it to oxidize elemental sulfur or various reduced inorganic sulfur compounds (RISCs). In addition, the bacterium also possessed carbon fixing genes involved in the incomplete Calvin-Benson-Bassham (CBB) cycle. However, the bacterium lacked the ability to oxidize iron and fix nitrogen. By implementing a constraint-based flux analysis to predict cellular growth in the presence of 71 carbon sources, 88.7% agreement with experimental Biolog data was observed. Five sulfur oxidation pathways were discovered through model simulations. The optimal sulfur oxidation pathway had the highest ATP production rate of 14.81 mmol/gDW/h, NADH/NADPH production rate of 5.76 mmol/gDW/h, consumed 1.575 mmol/gDW/h of CO2, and 1.5 mmol/gDW/h of sulfur. Our findings provide a comprehensive outlook on the most effective cellular metabolic pathways implicated in sulfur oxidation within Acidithiobacillus Ameehan. It suggests that the OMP (outer-membrane proteins) and SQR enzymes (sulfide: quinone oxidoreductase) have a significant impact on the energy production efficiency of sulfur oxidation, which could have potential biotechnological applications.

Privacy paradox resolution in mHealth: the moderating effect of rationality degree

PurposeThe collection and use of personal medical information for mobile health (mHealth) service raise significant privacy concerns. In this context, this study aims to explore the privacy paradox and its impact from the perspective of paradox resolution.Design/methodology/approachBased on social support theory and privacy calculus theory, this study first studies the effect of social support on perceived benefits, and explores the moderating effect of perceived health status on the privacy trade-off process. Secondly, the study examines the path of “privacy concerns – disclosure intention – disclosure behavior” to verify the existence of the privacy paradox. Following this, based on rational choice theory, the rationality degree is introduced as a moderating variable to investigate both its impact on the central route and the strength of this impact on the privacy paradox.FindingsEmpirical results show that informational support and emotional support influence perceived benefits significantly. Perceived benefits significantly influence privacy concerns, and perceived health status has a significant positive moderating effect. The authors further find that there is a privacy paradox within the mHealth context, and the privacy paradox is moderated negatively by rationality degree. The findings indicate that the impact strength of the privacy paradox will decrease with increases in rationality degree.Research limitations/implicationsThe findings indicate that it is crucial to evaluate the privacy paradox and its impact from the perspective of paradox resolution.Originality/valueThis study offers a complete comprehension of the privacy paradox in mHealth and provides several valuable recommendations for enhancing both mHealth services and privacy controls.

Circulating metabolites and risk of incident dementia: Aprospective cohort study.

Identifying circulating metabolites associated with dementia, cognition, and brain volume may improve the understanding of dementia pathogenesis and provide novel insights for preventive and therapeutic interventions. This cohort study included a total of 87 885 participants (median follow-up of 9.1 years, 54% female) without dementia at baseline from the UK Biobank. A total of 249 plasma metabolites were measured using nuclear magnetic resonance spectroscopy at baseline. Cox proportional regression was used to examine the associations of each metabolite with incident dementia (cases = 1134), Alzheimer's disease (AD; cases = 488), and vascular dementia (VD; cases = 257) during follow-up. Dementia-associated metabolites were further analyzed for association with cognitive deficits (N = 87 885) and brain volume (N = 7756) using logistic regression and linear regression. We identified 26 metabolites associated with incident dementia, of which 6 were associated with incident AD and 5 were associated with incident VD. These 26 dementia-related metabolites were subfractions of intermediate-density lipoprotein, large low-density lipoprotein (L-LDL), small high-density lipoprotein (S-HDL), very-low-density lipoprotein, fatty acids, ketone bodies, citrate, glucose, and valine. Among them, the cholesterol percentage in L-LDL (L-LDL-C%) was associated with lower risk of AD (HR [95% CI] = 0.92 [0.87-0.97], p = 0.002), higher brain cortical (β = 0.047, p = 3.91 × 10-6 ), and hippocampal (β = 0.043, p = 1.93 × 10-4 ) volume. Cholesteryl ester-to-total lipid ratio in L-LDL (L-LDL-CE%) was associated with lower risk of AD (HR [95% CI] = 0.93 [0.90-0.96], p = 1.48 × 10-4 ), cognitive deficits (odds ratio = 0.98, p = 0.009), and higher hippocampal volume (β = 0.027, p = 0.009). Cholesteryl esters in S-HDL (S-HDL-CE) were associated with lower risk of VD (HR [95% CI] = 0.81 [0.71-0.93], p = 0.002), but not AD. Taken together, circulating levels of L-LDL-CE% and L-LDL-C% were robustly associated with risk of AD and AD phenotypes, but not with VD. S-HDL-CE was associated with lower risk of VD, but not with AD or AD phenotypes. These metabolites may play a role in the advancement of future intervention trials. Additional research is necessary to gain a complete comprehension of the molecular mechanisms behind these associations.

Overcoming genetic paucity of Camelina sativa: possibilities for interspecific hybridization conditioned by the genus evolution pathway.

Camelina or false flax (Camelina sativa) is an emerging oilseed crop and a feedstock for biofuel production. This species is believed to originate from Western Asian and Eastern European regions, where the center of diversity of the Camelina genus is located. Cultivated Camelina species arose via a series of polyploidization events, serving as bottlenecks narrowing genetic diversity of the species. The genetic paucity of C. sativa is foreseen as the most crucial limitation for successful breeding and improvement of this crop. A potential solution to this challenge could be gene introgression from Camelina wild species or from resynthesized allohexaploid C. sativa. However, both approaches would require a complete comprehension of the evolutionary trajectories that led to the C. sativa origin. Although there are some studies discussing the origin and evolution of Camelina hexaploid species, final conclusions have not been made yet. Here, we propose the most complete integrated evolutionary model for the Camelina genus based on the most recently described findings, which enables efficient improvement of C. sativa via the interspecific hybridization with its wild relatives. We also discuss issues of interspecific and intergeneric hybridization, aimed on improving C. sativa and overcoming the genetic paucity of this crop. The proposed comprehensive evolutionary model of Camelina species indicates that a newly described species Camelina neglecta has a key role in origin of tetra- and hexaploids, all of which have two C. neglecta-based subgenomes. Understanding of species evolution within the Camelina genus provides insights into further research on C. sativa improvements via gene introgression from wild species, and a potential resynthesis of this emerging oilseed crop.

Image based Seen Detection in Real Time Video Interpretation for Surveillance Systems using Support Vectors Machine

People that are perpetually hunting for knowledge will benefit from data acquisition. The early phase in video data acquisition is splitting the video into images. Many images are tiny and don't reveal a lot about the picture's information. Scene boundary identification, or video segmentation into action sequences, enables a more complete comprehension of the image sequence by classifying images based on comparable visual content. The purpose of this article is to discuss video scene recognition, particularly video structure extraction for pattern comparison with significant properties. The article designed and developed a methodology that would include stages for image collection, detecting commonalities among frames, selecting important frames, and detecting the time at where the relevant frame is identified. The pictures are generated by Python's OpenCV and scene classification metrics are used to assess the method. As assessed by numerous parameters, the findings shows that scene identification and accuracy are considerable. Furthermore, we investigated and researched contemporary identification and assessment techniques. Moreover, we have tested extensively our research framework on a variety of publicly available event video databases, and these outperformed several futuristic techniques. The outcomes of this research can be utilized to generate real-time definitional video assessments.

The common fundamental plane of X-ray emissions from pulsars and magnetars in quiescence

ABSTRACT Magnetars are a unique class of neutron stars characterized by their incredibly strong magnetic fields. Unlike normal pulsars whose X-ray emission was driven by rotational energy loss, magnetars exhibit distinct X-ray emissions thought to be driven by their strong magnetic fields. Here, we present the results of magnetar X-ray spectra analysis in their quiescent state. In the sample studied in this paper, spectra of 17 magnetars can be fitted well with a model consisting of a power-law and a blackbody component. We found that the luminosity of the power-law component can be described by a function of blackbody temperature and emission-region radius. The same relation was seen in pulsars whose X-ray emission mechanism is thought to be different. The fact that these magnetars and pulsars share a common fundamental plane in the space spanned by non-thermal X-ray luminosity, surface temperature, and the radius of the thermally emitting region presents both challenges and hints to theoretical models for a complete comprehension of the magnetospheric emissions from these two classes of neutron stars.

A critical insight on nanofluids for heat transfer enhancement

There are numerous reports and publications in reputable scientific and engineering journals that attribute substantial enhancement in heat transfer capabilities for heat exchangers once they employ nanofluids as working fluids. By definition, a nanofluid is a working fluid that has a small volume fraction (5% or less) of a solid particle with dimensions in the nanoscale. The addition of this solid material has a reported significant impact on convective heat transfer in heat exchangers. This work investigates the significance of the reported enhancements in many recent related publications. Observations on these publications’ geographical origins, fundamental heat transfer calculations, experimental setups and lack of potential applications are critically made. Heat transfer calculations based on methodologies outlined in random selection of available papers were conducted along with a statistical analysis show paradoxically inconsistent conclusion as well as an apparent lack of complete comprehension of convective heat transfer mechanism. In some of the surveyed literature for example, heat transfer coefficient enhancements were reported to be up to 27% and 48%, whereas the recalculations presented in this work restrain proclaimed enactments to ~ 3.5% and − 4% (no enhancement), respectively. This work aims at allowing a healthy scientific debate on whether nanofluids are the sole answer to enhancing convective heat transfer in heat exchangers. The quantity of literature that confirms the latter statement have an undeniable critical mass, but this volition could be stemming from and heading to the wrong direction. Finally, the challenges imposed by the physical nature of nanoparticles, as well as economic limitations caused by the high price of conventional nanoparticles such as gold (80$/g), diamond (35$/g), and silver (6$/g) that hinder their commercialization, are presented.

A comprehensive experimental and modelling approach for the evaluation of cross-over fluxes in Vanadium Redox Flow Battery

Vanadium cross-over is a critical issue in Vanadium Redox Flow Battery consisting in a complex interplay of different mechanisms of which a complete comprehension has not been reached yet. Due to the complexity of the involved phenomena, several models have been developed in literature to investigate vanadium cross-over. However, the conventional approaches for model calibration present a limited set of experiments for the validation preventing a complete understanding of cross-over phenomena. In this work a new and comprehensive approach is proposed. It is based on charge-discharge cycles with fixed exchanged capacity, able to isolate the capacity loss induced by cross-over fluxes, and on the measure of the self-discharge of the single electrolyte solutions by exploiting through-plate reference electrodes. Moreover, a 1D physically-based model of the operation of the battery is developed and calibrated on the data of electrolyte imbalance during charge-discharge cycles at three different current densities to obtain model parameters able to accurately describe the involved physics in different operating conditions. The model is then exploited to investigate the main vanadium transport mechanisms through the membrane and to evaluate the influence of the current density on the vanadium cross-over fluxes, net vanadium transport and self-discharge rate of the electrolyte.

Improved Understanding of Traumatic Complex Elbow Instability.

Recent advancements in surgical treatment have improved clinical results in complex traumatic elbow injury. There is increasing recognition that conservative treatment and inadequate surgical fixation carry high risk of substantial morbidity in many of these cases. Recent literature displays improved outcomes in complex elbow instability, in part, because of a more complete comprehension of the injury patterns and fixation methods. Prompt surgical management with stable internal fixation, which permits immediate postoperative mobilization, has been a consistent variable across the reports leading to more satisfactory outcomes. This applies to both acute and chronic cases.

PERSPECTIVE OF ENGLISH TEACHERS ON NATIONAL ASSESSMENT (MINIMUM COMPETENCY ASSESSMENT, SURVEY OF CHARACTER AND LEARNING ENVIRONMENT)

This research is aimed to discuss about perspective of English teachers on National assessment in term of minimum competency assessment, survey of character and survey of learning environment as three main components of National assessment. This qualitative research was using interview with five English teachers in Jambi Province as research participants. Pseudonym were used in this research to protect the privacy of research participants. Five participants will be identified as T1, T2, T3, T4 and T5. The results of this study indicated that only T1 had complete knowledge and comprehension about National assessment. Three of five English teachers (T2, T3 and T4) had knowledge and comprehension about the National assessment in general, but did not have specific knowledge and comprehension of the National assessment, while one of English teachers (T5) had no idea and did not understand at all related to knowledge and comprehension of the National assessment as a comprehensive evaluation program. All participants (T1, T2, T3, T4 and T5) have never attended seminar, training and any form of socialization about National assessment. It can be concluded that there is a lack of optimal socialization regarding the National assessment conducted by the government for English teachers and all parties in this evaluation program such as headmaster, teachers and student. It is causing all research participants (T1, T2, T3, T4 and T5) still do not have sufficient knowledge and comprehension of the National assessment and its implementation.

Modern Techniques of Teaching Reading Skills

In recent years the support extensive reading(ER) in English as a second or foreign language(ESL/EFL) programs has been compelling. When practicing extensive reading, the reader/learner reads a wide variety of text for pleasure and achieves a general understanding of the context while deciphering unknown words through context. This approach contrasts with extensive reading, a more traditional approach based on a slow, careful reading of a text, with goals of complete comprehension and identification of specific details and information. Research supports the use of ER, as it benefits the development of speaking, listening, and writing language skills(Maley 2005), as well as involuntary vocabulary acquisition(Brown, Waring, and Donkaewbua 2008). for this reason, ESL/EFL programs(Day and Bamford 1998). In East Asian nations such as Korea- where EFL increasingly central to education policy- more and more workshops, seminars, and conferences focus on helping teachers incorporate ER programs into their teaching context. There is a wide range of materials available for ER, including graded readers-novels and short stories that are calibrated to the different language levels of learners. However, despite the great support for what has been described as “the single most effective way to improve language proficiency”(Maley 2005,354). “Simply reading” is not a valid use of learning time, nor is it congruent with local expectations of the role of classroom teachers. Consequently, intensive reading, a companied by comprehension questions and language analysis tasks, continues to dominate in Korean classrooms.

The Application of Transcreation in Subtitling Cultural References: The Case of Masameer Animated Cartoon

The growing number of people watching audiovisual products in languages other than their mother tongue necessitated translation to bridge the linguistic barriers and ensure complete comprehension as perceived by the source text audience. The translation of cultural references is an increasingly important issue in the translation field, specifically in audiovisual products, and the findings of this study will show the efficiency of applying the transcreation procedure to overcome such challenges. Moreover, the main aim of this paper is to analyze the applicability of the transcreation procedure in translating cultural references found in audiovisual materials, particularly in Masameer animated cartoons, to determine if implementing this procedure will result in a successful translation. The paper attempts to answer the question: How can the application of the transcreation procedure help convey the meaning and effect of the cultural reference found in the source text? This research paper has followed the qualitative method to analyze the implementation of the transcreation procedure on the examples that contain cultural-specific items. It is found that the application of transcreation is essential to fill the cultural gap in a creative way that preserves the meaning of the original. Thus, transcreation is valuable because it gives a sense of creativity, adapts the text culturally, and delivers accurate translation.

Mehr soziale Teilhabe für Hörgeschädigte durch Cochlea-Implantate? Zur Ambivalenz der Mensch-Maschine-Interaktion und zum Stellenwert psycho-sozialer Begleitung

Cochlea implants help persons that suffer from deafness over time to regain hearing capacity. However, persons with CI implants experience year-long processes of adapting to technology-assisted hearing. The study highlights how people experience those processes and how they deal with changing expectations. Within this qualitative study, 50 cochlear implant recipients were interviewed about their personal experiences with the supplying clinics. 30 persons were recruited through self-help groups; another 20 persons were recruited through a learning center for hearing-impaired persons. They were asked about their experiences in social, cultural and professional participation as well as hearing barriers they still face in everyday life after their CI fitting. Participants had been wearing CI devices for a maximum of three years. This is a timeframe when most subsequent therapies have ended. Also, the initial phase of learning to handle the CI is supposed to be over. The study shows that even with a cochlear implant communication barriers remain. People's expectations are not met when complete comprehension of listening during conversations is not achieved. Difficulties in dealing with a high-tech hearing prosthesis and experiencing a "foreign body" are obstacles that lower acceptance of CI. Counselling and support preparing the use of cochlea implants should be guided by realistic goals and expectations. Guided training and communication courses can help, including local care such as certified hearing aid acousticians. Those elements can increase quality and reduce uncertainty.

Perfect excitation and attenuation-free propagation of graphene surface polaritons under optical admittance matching.

Graphene supports both transverse magnetic and electric modes of surface polaritons due to the intraband and interband transition properties of electrical conductivity. Here, we reveal that perfect excitation and attenuation-free propagation of surface polaritons on graphene can be achieved under the condition of optical admittance matching. With both vanished forward and backward far-field radiation, incident photons are fully coupled to surface polaritons. This requires an exact match between the admittance difference of sandwiching media and the conductivity of graphene, resulting in no decay of propagating surface polaritons. The dispersion relation has a completely different line shape for structures that support compared to those that do not support admittance matching. This work promotes complete comprehension of the excitation and propagation behaviors of graphene surface polaritons and may further inspire ideas for research on surface waves on two-dimensional materials.

Texas Cowboy Boots: America's Material Culture Melting Pot

Cowboy boots are some of the most recognizable dress icons in the United States and symbolize the American West. The mythology of these material culture objects has been built over hundreds of years in many types of oral and written narratives. The purpose of this study was to combine secondary sources focusing on specific dimensions of cowboy boots with interviews of bootmakers and firm owners, developing a clearer understanding of the multicultural evolution of this material culture icon. Results indicate that although most bootmakers are aware of the multicultural origins of cowboy boots, they do not possess a complete comprehension of the origins and development of this material culture icon.

Između pejzaža i hiperobjekata - mapiranje viskoziteta borske flotacione jalovine

In contemporary architecture and related disciplines, the understanding of landscape is undergoing transformative changes due to ecological emergencies. Rather than perceiving landscape as a static form, it is regarded as an open process, suggesting its complete comprehension may be elusive. Consequently, alternative models that surpass traditional picturesque representations are emerging within the field of landscape representation. Furthermore, different theoretical frameworks are being employed to grasp the supposed geological epoch of the Anthropocene. Object-oriented ontology (OOO) is a framework that falls under the speculative realism school of thought. Within this theoretical lens, Timothy Morton introduces the concept of hyperobjects, referring to entities that transcend spatial and temporal boundaries and profoundly impact life on Earth. Hyperobjects manifest through diverse phenomena such as global warming, radioactive materials, nuclear waste, pollution, etc. They possess five defining characteristics: viscosity, nonlocality, time undulation, interobjectivity and phasing that may be further interpreted in the architectural discipline. Therefore, this paper aims to contribute to the ongoing discourse on hyperobjects and their essential characteristics while exploring their connections to various architectural landscape concepts. Moreover, it seeks to conduct a design-driven research experiment focused on an alternative viscosity representation in Bor, a flotation tailing in Eastern Serbia.

The Landscape Code of Russian Culture in Educational Dictionary Created for Foreign Philology Students

The article is devoted to the problem of landscape code of Russian culture lexicographic description in teaching advanced Chinese philology students Russian as a foreign language. At present, the culture codes linguistic description contributes to the explication of hidden cultural meanings, coded for foreigners studying the Russian language even at the high level. The “decoding” of hidden meanings requires purposeful work, without this work complete cultural information comprehension is impossible. The appeal to the culture code as a study subject is especially relevant for teaching philology students, since it is assumed that philologists should have the ability not only to perceive the different texts content, but also to penetrate into the Russian word imagery, into its value potential and understand the estimation justification. After analyzing the existing studies, one can conclude that the landscape culture code is one of the main codes, it has a significant impact on the national character, mentality, picture of the world and the linguistic picture of the world of the Russian linguocultural community. The landscape kinds names have not yet become the subject of a purposeful methodological description, and the corresponding lexical-semantic group has not been identified in ideological dictionaries. In this regard, applying the component analysis method we determined the lexical-semantic group “Names of landscape kinds” volume and structure and the educational group of the same names, including 8 subgroups. The article proposes an educational lexicographic description of the verbal landscape culture code represented by the lexical-semantic group. The dictionary entry of the educational dictionary “Verbal culture codes in the language vocabulary” has a multicomponent structure. The selected zones of the dictionary entry (interpretation, synonyms, associations, epithets, etc.) contribute to the Russian culture code “decoding”, which is especially relevant in methodology of teaching Russian as a foreign language to Chinese philology students.

Metal-protein solution interactions investigated using model systems: Thermodynamic and spectroscopic methods.

The first-row D-block metal ions are essential for the physiology of living organisms, functioning as cofactors in metalloproteins or structural components for enzymes: almost half of all proteins require metals to perform the biological function. Understanding metal-protein interactions is crucial to unravel the mysteries behind molecular biology, understanding the effects of metal imbalance and toxicity or the diseases due to disorders in metal homeostasis. Metal-protein interactions are dynamic: they are noncovalent and affected by the environment to which the system is exposed. To reach a complete comprehension of the system, different conditions must be considered for the experimental investigation, in order to get information on the species distribution, the ligand coordination modes, complex stoichiometry and geometry. Thinking about the whole environment where a protein acts, investigations are often challenging, and simplifications are required to study in detail the mechanisms of metal interaction. This chapter is intended to help researchers addressing the problem of the complexity of metal-protein interactions, with particular emphasis on the use of peptides as model systems for the metal coordination site. The thermodynamic and spectroscopic methods most widely employed to investigate the interaction between metal ions and peptides in solution are here covered. These include solid-phase peptide synthesis, potentiometric titrations, calorimetry, electrospray ionization mass spectrometry, UV-Vis spectrophotometry, circular dichroism (CD), nuclear magnetic resonance (NMR) and electron paramagnetic resonance (EPR). Additional experimental methods, which can be employed to study metal complexes with peptides, are also briefly mentioned. A case-study is finally reported providing a practical example of the investigation of metal-protein interaction by means of thermodynamic and spectroscopic methods applied to peptide model systems.

Assessment of Machine Learning Techniques and Traffic Flow: A Qualitative and Quantitative Analysis

Traffic flow analysis is an interesting study topic in transportation studies. A better understanding of traffic flow is essential for more effective traffic reduction methods. Because managing traffic flow in cities is getting more complicated, we need more methodical ways to deal with these problems. Machine learning techniques have been suggested as a possible solution because they can process great amounts of data and give insights that can be used to help make decisions about how to manage traffic. The main objective of this research is to conduct a comprehensive examination of the quantitative and qualitative aspects of utilizing machine learning techniques in the management of traffic flow. Using the Web of Science (WOS) platform, documents from January 2007 to April 2023 were assessed. The study found that traffic flow management has been using machine learning techniques more and more over the past few years. This study shows the different approaches and methods that were used, as well as the results and limits of these methods. The results recommend that machine learning can be a useful tool for managing traffic flow in cities, but further investigation is warranted to gain a complete comprehension of both the advantages and disadvantages of the subject under scrutiny.