Frequency Of Exchanges Research Articles

Effects of Short-Term Treatment with α-Lipoic Acid on Neuropathic Pain and Biomarkers of DNA Damage in Patients with Diabetes Mellitus.

Diabetes mellitus (DM) is a complex and heterogenous disease classified as a group of metabolic disorders characterized by chronic hyperglycemia resulting from defects in insulin secretion, insulin action, or both. It leads to various complications, some of which are macrovascular or microvascular complications, like diabetic polyneuropathy (DPN), having a profound impact on patients' quality of life. Oxidative stress (OS) is one of the significant mechanisms in the development and progression of DPN. Thus, targeting OS pathways by antioxidants, such as α-lipoic acid (ALA), could represent a promising therapeutic strategy for alleviating neuropathic symptoms. The aim of our study was to evaluate whether short-term (from 4 to 9 days) intravenous administration of ALA could cause any measurable improvement in subjects with DM. Sixteen subjects with DM (six type 1 and ten type 2) and sixteen nondiabetic subjects matched by sex and age were recruited to this study. Only subjects with DM received treatment with ALA (600 mg daily). Pain intensity and biomarkers of DNA damage including plasma concentration of 8-hydroxy-2'-deoxyguanosine (8-OHdG), frequency of micronucleated lymphocytes (MN), and frequency of sister-chromatid exchanges (SCEs), were measured before and after the treatment with ALA. Pain intensity and 8-OHdG levels were significantly lower in DM subjects after the ALA treatment than before the treatment. However, no changes in the frequency of SCEs and MN were observed. Our results show some evidence that even a short-term intravenous treatment with ALA could be beneficial for diabetic subjects, reducing pain intensity and concentration of 8-OHdG in blood plasma.

Negative Social Exchanges are Associated With More Severe Depressive Symptoms Above and Beyond the Effects of Positive Social Exchanges in Male U.S. Service Members and Veterans.

Risk for depression is heightened among male service members/veterans relative to civilians. Research suggests social support protects service members/veterans from depressive symptoms, but most studies focus on positive social support. Negative social support, which can include unwanted emotional involvement or social negativity, could be more impactful on depressive symptoms than positive; however, this has not been examined in military samples. Moreover, it is unclear whether positive interactions buffer the effects of negative interactions. SM/Vs (N = 508) were recruited online using convenience sampling and completed demographics, and measures of depression and social exchange frequencies, a metric of positive and negative social support. This secondary data analysis was drawn from a parent study that was approved by an institutional review board. A correlation comparison calculator compared the strength of bivariate associations of positive social exchanges and negative social exchanges with depression. Linear regression examined the simultaneous effects of positive and negative social exchanges, and subsequently examined whether positive social exchanges moderated the association of negative social exchanges and depression. The positive bivariate association of negative exchanges and depression (r = 0.48, P < .001) was statistically stronger than the negative bivariate association of positive exchanges and depression (r = -0.40, P < .001). A regression analysis revealed that higher negative exchanges were positively associated with depression (partial r = 0.40, P < .001) and higher positive exchanges were negatively associated with depression (partial r = -0.32, P < .001) after accounting for covariates, but positive exchanges did not mitigate the association of negative exchanges and depression (P > .05). Decreasing the frequency of negative social exchanges is associated with lower depressive symptoms and may have a stronger relationship with depression than positive exchanges, suggesting independent pathways to depression. Longitudinal assessments are needed to determine the potential directionality of these relationships and to address the limitations associated with convenience sampling and cross-sectional data collection.

The Effect of the Construction of a Tillage Layer on the Infiltration of Snowmelt Water into Freeze–Thaw Soil in Cold Regions

The snow melting and runoff process in the black soil area of Northeast China has led to soil quality degradation in farmland, posing a threat to sustainable agricultural development. To investigate the regulatory effect of tillage layer construction on the infiltration characteristics of snowmelt water, a typical black soil in Northeast China was selected as the research object. Based on field experiments, four protective tillage treatments (CK: control treatment; SB: sub-soiling treatment; BC: biochar regulation treatment; SB + BC: sub-soiling tillage and biochar composite treatment) were set up, and the evolution of soil physical structure, soil thawing rate, snow melting infiltration characteristics, and the feedback effect of frozen layer evolution on snowmelt infiltration were analyzed. The research results indicate that sub-soiling and the application of biochar effectively regulate soil aggregate particle size and increase soil total porosity. Among them, at the 0–10 cm soil layer, the soil mean weight diameter (MWD) values under SB, BC, and SB + BC treatment conditions increased by 6.25%, 16.67%, and 19.35%, respectively, compared to the CK treatment. Sub-soiling increases the frequency of energy exchange between the soil and the environment, while biochar enhances soil heat storage performance and accelerates the melting rate of frozen soil layers. Therefore, under the SB + BC treatment conditions, the maximum soil freezing rate increased by 21.92%, 5.67%, and 25.12% compared to the CK, SB, and BC treatments, respectively. In addition, sub-soiling and biochar treatment effectively improved the penetration performance of snowmelt water into frozen soil layers, significantly enhancing the soil’s ability to store snowmelt water. Overall, it can be concluded that biochar regulation has a good improvement effect on the infiltration capacity of surface soil snowmelt water. Sub-soiling can enhance the overall snowmelt water holding capacity, and the synergistic effect of biochar and deep tillage is the best. These research results have important guiding significance for the rational construction of a protective tillage system model and the improvement of the utilization efficiency of snowmelt water resources in black soil areas.

Water exchange frequency affects the fractions of sulfur and heavy metals in mariculture sediments

Water exchange is a key step in mariculture activities. However, the impact of water exchange frequency (WEF) on the environmental behavior of sulfur and heavy metals is not well understood. In this study, the migration and transformation of sulfur and heavy metals in mariculture sediments under different WEFs were investigated. The results indicated that high WEF would be unfavorable to overlying water quality, while increased acid volatile sulfur (AVS) in the sediments (11.13 μmol/g). High WEF accelerated the release of heavy metals from bottom sediments and their enrichment in the surface layer, leading to an increase in heavy metal content in the surface sediments, with Cd showing particularly significant changes (CV, ∼20%). Moreover, the WEF also had an obvious effect on the Cd fraction (CV>10%). The increase in acid-soluble Pb inhibited the conversion of AVS to chromium (II)-reducible sulfur (CRS) in the sediments, enhancing the sediment aging process. An appropriate frequency of water exchange (once every 5 days) could increase the abundance and diversity of bacteria and help to shape specific microorganisms. Changes in heavy metals in the surface sediments caused Firmicutes to become the most affected bacterial species by the WEF. The functional flora involved in the sulfur cycle were lesser affected by the WEF (CV, ∼5%), whereas those involved in the nitrogen cycle were more affected (CV >17%). The findings provide guidance for scientific mariculture.

Nonlinear saturation of the ion flow driven ion sound instability in a finite length plasma

The saturation mechanism and nonlinear evolution of the ion sound instability driven by the subsonic ion flow in a finite length plasma are studied by a one-dimensional hybrid model considering kinetic ions and Boltzmann electrons. Three regimes of the instability nonlinear behavior are identified as a function of the frequency of the ion-neutral charge exchange (CX) collision fcoll. In the first (collisionless-alike) regime when the CX frequency is low, the instability is saturated by ions trapping in wave potentials leading to the formation of phase space vortexes (PSVs). One of the PSVs subsequently expands and becomes system long in the steady state. The transition to the second (medium) regime occurs when fcoll≳vp/d, where vp is the PSV expansion velocity and d is the system length. In the second regime, CX collisions convert fraction of beam ions into slow ions that can be trapped in potentials of small scale ion sound eigenmodes fluctuations. The trapping of slow ions results in the formation of a chain of small scale PSVs and the disruption of the establishment of the single system long PSV. In the third (collision-dominated) regime when fcoll≳γ (γ is the instability growth rate), CX collisions transform all beam ions into slow ions and the instability is thereby eliminated.

Digital technology adoption among smallholder farmers in Vietnam: Implications for digital agricultural extension strategies

AbstractThis study explores the adoption of digital technology among smallholders in Quang Tri Province, Vietnam. Data were gathered by doing a survey of 455 farmers analysed by descriptive analysis and a Poisson Regression model. Key knowledge gaps include an incomplete understanding of farmers' digital technology adoption and insufficient empirical evidence supporting potential determinants in smallholders' digital adoption. Findings indicate active use of digital tools in agriculture, with factors such as education, farm size, digital experience, knowledge exchange frequency, access to digital information and internet costs positively influencing adoption. The study advocates for tailored training and targeted interventions to enhance adoption rates.

Basque Pelota and Europeanization: The Actions and Representations of Actors Involved in Two Cross-Border Projects in a Euroregion

ABSTRACT This article investigates Europeanization from the perspective of actors involved in the organization of cross-border projects promoting an autochthonous sport. It studies two projects involving Basque pelota, a sport historically played on both sides of the France-Spain border. Both projects were launched by entrepreneurs, in the sociological sense, within the EGTC area of the Nouvelle-Aquitaine Euskadi Navarra Euroregion. The study identifies the characteristics of these local actors who have bet on their sport and on the cross-border concept. The intercultural experiences enabled by the projects and the increased frequency of consecutive sports exchanges have created a transactional space of Europeanization at the local scale desired by the EU but have not achieved the Europeanization expected from the Euroregion system. The transnational Basque dimension remains relevant, principally between France and Spain.

Novel energy exchange behaviors and mechanisms in nonlinear acoustic metamaterials with multiple nonlinear resonators

Wave-wave interactions in a nonlinear metamaterial or structure with two propagating waves can induce energy exchange within the nonlinear systems. The effects of nonlinear resonators on these interactions and energy exchanges in a nonlinear acoustic metamaterial have not been extensively studied in the literature. In this paper, a nonlinear monatomic acoustic metamaterial with multiple nonlinear resonators (NMAM-MNR) is constructed to investigate the new behaviors and mechanisms introduced by these nonlinear resonators. Stability analyses reveal that stability can be tuned by adjusting the number of nonlinear resonators and by selecting different intensities or masses of the resonators and the chain. Additionally, direct numerical simulations are performed to study the novel energy exchange behaviors and mechanisms in NMAM-MNR systems. The results demonstrate that the degree and frequency of energy exchange can be tuned by altering the mass ratios, stiffness ratios, intensities, and natural frequencies of the nonlinear resonators and the chain. The influence of mass and stiffness ratios on the time taken for the B-wave magnitude to first reach its maximum value in NMAM-MNR systems is also studied, showing that the rate of energy exchange induced by wave-wave interactions can be tuned by changing the stiffness and mass ratios of multiple nonlinear resonators. These properties have potential applications in the fields of energy harvesters, waveguides, and resonant energy transfer mechanisms.

A hierarchy of metabolite exchanges in metabolic models of microbial species and communities.

The metabolic network of an organism can be analyzed as a constraint-based model. This analysis can be biased, optimizing an objective such as growth rate, or unbiased, aiming to describe the full feasible space of metabolic fluxes through pathway analysis or random flux sampling. In particular, pathway analysis can decompose the flux space into fundamental and formally defined metabolic pathways. Unbiased methods scale poorly with network size due to combinatorial explosion, but a promising approach to improve scalability is to focus on metabolic subnetworks, e.g., cells' metabolite exchanges with each other and the environment, rather than the full metabolic networks. Here, we applied pathway enumeration and flux sampling to metabolite exchanges in microbial species and a microbial community, using models ranging from central carbon metabolism to genome-scale and focusing on pathway definitions that allow direct targeting of subnetworks such as metabolite exchanges (elementary conversion modes, elementary flux patterns, and minimal pathways). Enumerating growth-supporting metabolite exchanges, we found that metabolite exchanges from different pathway definitions were related through a hierarchy, and we show that this hierarchical relationship between pathways holds for metabolic networks and subnetworks more generally. Metabolite exchange frequencies, defined as the fraction of pathways in which each metabolite was exchanged, were similar across pathway definitions, with a few specific exchanges explaining large differences in pathway counts. This indicates that biological interpretation of predicted metabolite exchanges is robust to the choice of pathway definition, and it suggests strategies for more scalable pathway analysis. Our results also signal wider biological implications, facilitating detailed and interpretable analysis of metabolite exchanges and other subnetworks in fields such as metabolic engineering and synthetic biology.

Novel grayscale image encryption based on 4D fractional-order hyperchaotic system, 2D Henon map and knight tour algorithm

With the increasing frequency of data exchange, the security of transmitted information, especially images, has become paramount. This paper proposes a novel algorithm for encrypting grayscale images of any dimension by using a proposed fractional-order (FO) 4D hyperchaotic system, 2D Henon chaotic map permutation, and the knight tour algorithm. Initially, chaotic sequences are generated by utilizing the proposed FO 4D hyperchaotic system, which are later employed to rearrange and shuffle the entire image pixels to bolster the efficacy of image encryption. To introduce an additional layer of diffusion, 2D Henon chaotic map permutation is used. Furthermore, the knight tour algorithm is applied by starting from a chosen point and executing specified rounds on the scrambled image to increase the encryption’s robustness. The resultant image encryption algorithm undergoes thorough testing and evaluation. It exhibits high sensitivity to the encryption key and boasts a larger key space, rendering it more resistant to brute-force attacks. The proposed algorithm demonstrates an approximate correlation of 0 between adjacent pixels. Further, encryption of a grayscale image of size 256 × 256 takes approximately 0.4 seconds, rendering it more suitable for cryptographic purposes.

Replica Exchange of Expanded Ensembles: A Generalized Ensemble Approach with Enhanced Flexibility and Parallelizability.

Generalized ensemble methods such as Hamiltonian replica exchange (HREX) and expanded ensemble (EE) have been shown effective in free energy calculations for various contexts, given their ability to circumvent free energy barriers via nonphysical pathways defined by states with different modified Hamiltonians. However, both HREX and EE methods come with drawbacks, such as limited flexibility in parameter specification or the lack of parallelizability for more complicated applications. To address this challenge, we present the method of replica exchange of expanded ensembles (REXEE), which integrates the principles of HREX and EE methods by periodically exchanging coordinates of EE replicas sampling different yet overlapping sets of alchemical states. With the solvation free energy calculation of anthracene and binding free energy calculation of the CB7-10 binding complex, we show that the REXEE method achieves the same level of accuracy in free energy calculations as the HREX and EE methods, while offering enhanced flexibility and parallelizability. Additionally, we examined REXEE simulations with various setups to understand how different exchange frequencies and replica configurations influence the sampling efficiency in the fixed-weight phase and the weight convergence in the weight-updating phase. The REXEE approach can be further extended to support asynchronous parallelization schemes, allowing looser communications between larger numbers of loosely coupled processors such as cloud computing and therefore promising much more scalable and adaptive executions of alchemical free energy calculations. All algorithms for the REXEE method are available in the Python package ensemble_md, which offers an interface for REXEE simulation management without modifying the source code in GROMACS.

DCPFS: A Conditional Privacy-Preserving Authentication Scheme with Dual Cuckoo Pseudonym Filters for Vanets

With the increasing frequency of information dissemination and exchange, the attention paid to security and privacy in the Internet of Vehicles (IoV) is also on the rise. To protect user privacy, many anonymous authentication scheme have been proposed. These schemes assign pseudonyms to vehicles to hide their true identities when communicating with other vehicles or Roadside Units (RSUs). However, existing schemes also face pseudonym issues such as pseudonym abuse, high storage overhead, and low query efficiency. Motivated by this, we propose an RSU-based pseudonym assistance management scheme. In this scheme, RSUs employ dual cuckoo pseudonym filters to manage pseudonyms, effectively improving pseudonym query efficiency, preventing pseudonym abuse, and reducing storage overhead. Additionally, security and performance analyses demonstrate that the proposed protocol offers stronger security features and lower overhead. Besides, our scheme has reduced the generation time of pseudonym to only 0.0039 ms.

Cuffed versus uncuffed endotracheal tubes in neonates undergoing noncardiac surgeries: A randomized controlled trial.

The efficacy and safety of cuffed endotracheal tubes (ETTs) in neonates are still unclear, this study aimed to assess the efficacy of cuffed versus uncuffed ETTs in neonate undergoing noncardiac surgeries. Neonates scheduled for noncardiac surgeries were randomized into two groups according to the type of airway device during general anesthesia: cuffed ETT group (n = 60) and the uncuffed ETT group (n = 60). The primary outcome was the incidence of ETT exchange to find the appropriate ETT. Other outcomes included: duration of intubation, lung ultrasound score, and incidence of postoperative complications (croup, wheezes, hypoxia, etc.). The frequency of ETT exchange was lower in the cuffed ETT group compared to the uncuffed one {1 (1.7%) vs. 28 (46.7%), p = .0001; relative risk [95% confidence interval]: 0.54 [0.43-0.69]}. Postoperative adverse events were comparable between both groups except for significantly higher post extubation croup in the uncuffed ETT group compared to the cuffed ETT {10 (16.7%) vs. 3(5%), p value = .04, relative risk (95% confidence interval): 1.14 (1-1.29)}. In full term neonates undergoing noncardiac surgeries, the use of cuffed ETT was associated with less need to tracheal tube exchange and less incidence of postoperative croup, without increasing the postoperative respiratory complications compared to uncuffed ETT.

Efgartigimod in refractory autoimmune myasthenia gravis.

Efgartigimod, a neonatal Fc-receptor inhibitor, has recently been approved as treatment for myasthenia gravis (MG). In this retrospective cohort study, we aimed to systematically assess short- and long-term effectiveness of efgartigimod in patients with refractory MG. Sixteen patients with refractory autoimmune acetylcholine receptor MG were treated with efgartigimod. Data were collected from January 2021 to March 2023 on Myasthenia Gravis Activities of Daily Living (MG-ADL), Quantitative Myasthenia Gravis score (QMG), Myasthenia Gravis Composite score (MGC) and the 15-item revised version of the Myasthenia Gravis Quality of Life questionnaire (MG-QoL15r). A favorable outcome was seen in 56% of patients at the last measurement. Out of 16 patients, 50% were an MG-ADL responder after the first treatment cycle. After 4 weeks, a clinically meaningful improvement compared to baseline was seen on the MG-ADL, QMG, and MGC. There was a statistically significant improvement on the MGQoL15r from baseline to week 4. The improvement was maintained until the last measurement for the MGC and the MGQoL15r. At the last visit, all patients had discontinued 4-weekly dosages, shifting to administration frequencies of 1, 2, or 3 weeks. Drug doses could be decreased for prednisolone (n = 7), azathioprine (n = 2), and intravenous immunoglobulin (n = 9). Frequency of plasma exchange was decreased in nine patients. In patients with refractory MG, efgartigimod was effective for at least half of all patients. Patients required more frequent dosing compared to the ADAPT phase 3 trial. In 80% of the patients concurrent medication could be reduced or discontinued.

A dynamic routing scheme for underwater acoustic sensor networks in submarine disaster applications

IntroductionThe ocean economy serves as a critical engine for the development of human society and economy, and its stable growth is of utmost importance. However, the frequent and unexpected occurrence of natural disasters, such as submarine disasters, poses significant threats to human society, especially disasters related to wave phenomena like the Ekman current, which has particularly prominent impacts.MethodsThe study proposes a dynamic routing scheme for underwater acoustic sensor networks. It establishes a cone-shaped distributed network, utilizing autonomous underwater vehicles to collect crucial data from nodes deployed on the seabed and transmitting it through the underwater cone-shaped distributed sensor network. Additionally, it adopts source location protection (SLP) technology to ensure the privacy of source locations. To validate the practicality and stability of this scheme, simulation experiments targeting the Ekman current were conducted in MATLAB.ResultsThe experimental results demonstrate that the cone–SLP network significantly reduces the frequency of routing information exchange and energy consumption among acoustic sensors, effectively enhancing the economy and durability of the sensor network. Furthermore, it exhibits robust practicality and high stability in complex and variable submarine environments.DiscussionThis research not only provides a practical method for effectively monitoring submarine disasters but also offers valuable experience and significant reference value for other similar projects, playing a more crucial role in the sustainable development of the ocean economy.

Research on Cross-Boundary Integration in Jun Porcelain Product Design Exploration and Reflection from Theory to Practice

With the increasing frequency of cultural exchanges in the current era of globalization, Jun porcelain has emerged as a distinctive manifestation of the fusion of Chinese and foreign cultures, owing to its unique craftsmanship and profound historical and cultural significance. As a traditional Chinese craft, Jun porcelain has garnered attention for its cross-boundary products, which have captured the public's interest. This paper aims to highlight successful cases of cross-boundary integration in Jun porcelain product design, while drawing on the theoretical foundations of such integration. It offers insights and recommendations on how current Jun porcelain products can enhance cross-boundary integration and innovation. Additionally, it provides an overview of the history and present status of Jun porcelain product design, along with a summary of the successful elements of cross-boundary integration in contemporary Jun porcelain products.

The Effect of Cyberbullying on Stress and Productivity of Remote Employees During COVID-19

ABSTRACT The purpose of this study was to enhance our understanding of cyberbullying from a conservation of resources perspective with the goal of advancing theory and providing practitioners with information aimed at well-being interventions. We examined perceived stress as an explanatory mechanism of the relationship between cyberbullying and work productivity in remote workers. Information exchange frequency and quality were considered as potential resources that were hypothesized to mitigate this indirect effect. A sample of 269 adults in the United States who were working remotely as a result of COVID-19 were recruited through Amazon’s Mechanical Turk. The results of this time-lagged study indicated that cyberbullying did indeed exhibit an indirect effect on productivity via stress. However, contrary to expectations, this indirect effect was stronger for those with higher information exchange quality rather than lower information exchange quality. The indirect effect was unaffected by information exchange frequency. We encourage future scholars to dig deeper into when resources may be detrimental to employee well-being. We also encourage practitioners to consider ways to reduce both cyberbullying and worker stress with interventions such as technology etiquette training and careful planning of information exchange.

Decision-Making Mechanism of Farmers in Land Transfer Processes Based on Sustainable Livelihood Analysis Framework: A Study in Rural China

The act of land transfer in rural areas is an important decision-making mechanism for farmers, to enhance resource allocation efficiency and promote capital mobility, and this act is of strategic importance in promoting the level of agricultural scale and mechanization, land system change, and, thus, the sustainable development of livelihoods and production in China. This study aims to explore farmers’ decision-making mechanisms in the process of land transfer in rural areas, by constructing a theoretical framework. Structural equation modeling was used, based on data from a survey of rural families in the Liaoning Province area of Northeastern China. The main findings are as follows: (1) The seven types of exogenous latent variables, including environmental vulnerability, policy, and five main livelihood assets (natural capital, physical capital, financial capital, human capital, and social capital), are intermediary in farmers’ land transfer behavior, which then positively affect farmers’ livelihood outcomes. (2) Among the exogenous latent variables affecting farmers’ land transfer, human assets have the most significant positive effect, followed by social assets and physical assets, family labor force share, frequency of work information exchange, and number of production tools, greatly affect the corresponding variable. (3) Natural assets play the most important role and have a negative effect on farmers’ land transfer decision; contracted area of land per family is the greatest impacted measurable variable of this. The results of the study suggest that the government should strengthen skills training for farmers, improve the land transfer policy system, and provide appropriate subsidies in a regionally targeted manner. Thus, it can promote the transformation of Chinese-style agricultural modernization and achieve rural revitalization.

Growth Substrate Geometry Optimization for the Productive Mechanical Dry Transfer of Carbon Nanotubes

The selection of growth substrate geometries for the mechanical dry transfer of carbon nanotubes to device substrates depends on the precision of the assembly equipment. Since these geometries play a decisive role in the overall efficiency of the process, an investigation of the most important geometry parameters is carried out. The substrate geometry affects the number of carbon nanotubes suspended during the growth process and the speed of mechanical assembly at the same time. Since those two criteria are interlinked and affect productivity, a meta-model for the growth and selection of the nanotubes is simulated and a time study of the resulting assembly motions is subsequently performed. The geometry parameters are then evaluated based on the total number of suspended carbon nanotubes and the throughput rate, measured in transfers per hour. The accuracy specifications are then taken into account. Depending on the overall accuracy that can be achieved, different offset angles and overlaps between the growth and receiving substrate can be reached, which affect productivity differently for different substrate geometries. To increase the overall productivity, growth substrate designs are adapted to allow fully automated operation. This measure also reduces the frequency of substrate exchanges once all carbon nanotubes have been harvested. The introduction of substrates with multiple, polygonally arranged edges increases the total number of nanotubes that can be harvested. The inclusion of polygonally arranged edges in the initial analysis shows a significant increase in overall productivity.

Effect of bottom stirring on bath mixing and transfer behavior during scrap melting in BOF steelmaking: A review

Abstract Basic oxygen furnace (BOF) steelmaking is a widely used method for steelmaking production, and the bath stirring has a significant influence on dynamics of bath flow and mixing. Therefore, the effect of bottom gas flowrate, nozzle number and configuration, and bottom gas distribution mode on bath stirring are summarized in this study. Reasonable matching of bottom gas flowrate, nozzle number and configuration, as well as intensive study on the coupling effect of gas flowrate gradient and exchange frequency on non-uniform stirring would receive more and more attention in the coming years. With wide concern on the low-carbon and high-efficient production for BOF steelmaking, as a kind of recyclable iron-containing resource, the rapid melting and reasonable utilization of scrap in converter bath were emphasized in recent works, which could be promoted with high-efficient bottom stirring. The effect of bottom stirring on heat and mass transfer during scrap melting process was reviewed in this work, and the influence mechanism of bottom stirring on coupled heat and mass transfer should be further investigated. In addition, an overview of recently published physical and numerical simulation describing the bottom stirring and its effect on scrap melting would provide an outlook for future work.