Replication Method Research Articles

Experimental Investigation of Fluid Flow through Zinc Open-Cell Foams Produced by the Excess Salt Replication Process and Suitable as a Catalyst in Wastewater Treatment

The “excess salt replication process” is a new simple method of fabrication of open-cell metal foam based on the commonly known salt replication method. Porous materials with porosity between 46% and 66% result when the employed alloy is 25% antimonial lead alloy and when it is 58% to 65% zamak 5. These foams are proposed as structured catalysts instead of packed beds in the treatment of wastewater. The local regimes influencing macroscopic air flow behaviour through these foams are delimited and boundaries are analysed in terms of sample length. Most of the experimental tests in this work exhibited a general trend of air flow in ESR foams dominated by the “strong inertia regime”. It was established that the law governing the unidirectional air flow through these foams was the full cubic law. The permeability and inertia coefficient of five samples with a cell diameter between 2.5 and 4.5 mm were calculated, and an empirical correlation was fitted. The irregular cuboid shape of salt grains used in the ESR foam was the origin of the special cell form of ESR foams leading to an anisotropic ordered porous media. This can explain the macroscopic turbulence of air flow because there were many dead zones present in the corner of each cubic cell, thus causing kinetic energy loss starting at earlier regimes.

Investigation of Efficient Backup Tecniques To Reduce Late In Cloud Systems: A Modeling Study

From the formation stages of the information society to the present day, new developments have been experienced in many areas such as data formation, processing, storage and sharing of data in electronic environments. In this context, many new technological concepts have been included in our lives. When it comes to data storage environments, the concept of "Cloud Computing", which has been developing and increasing in popularity in recent years, comes to our minds. Cloud computing, with its known definition, is an internet-based technology service that provides access to the data stored on its servers at any time through internet access and allows users to benefit from the services offered by the system to the extent they want. While the advantages of cloud computing systems such as low cost, high performance, not requiring physical materials and being flexible can be mentioned, it is also emphasized that it brings many problems in terms of system. The most important of these problems; the lack of resources in cloud computing service providers, causing unpredictable delays in server response times. Based on all this information, this research is structured on the development of solution processes on these delays. In this sense, it is possible to consider three areas of cloud infrastructure; cloud computing, distributed storage and streaming communications. One of the first solutions that comes to mind is duplicating a task on multiple machines and waiting for the earliest copy to finish can reduce service latency; but intuitively, it costs additional computing resources and increases the queue load on servers. In this context, the effect of redundancy on the tail will be analyzed in the first part of the research. As a solution proposal, in this section, it will be discussed that service delays and queue load can be reduced by using the replication method, thus making the system more efficient. In a similar way, by requesting more than one copy of a file and waiting for any of them to arrive, the cloud storage requests will be accelerated for content download. In the second part of the research, generalization will be made from replication to coding and the (n, k) fork-join model will be studied to analyze the delay in accessing a storage system with (n, k) deletion code. This analysis will provide practical information that several users can access a content at the same time and provide faster service to the relevant users. Achieving low latency in streaming communication is even more difficult, as packets must be transmitted quickly and sequentially. Based on this structure, in the third part of the research, it is aimed to develop deletion codes to transmit redundant packet combinations and ensure smooth playback. Experimental modeling method was used as a research method in the study. In general, the aim of the research is to blend various mathematical tools from queuing, theory coding and renewal processes. It is foreseen that the techniques and insights to be developed with these dimensions of the research can be applied to other systems with stochastically changing components, and integrated studies can be made and contribute to the literature in this context.

34 Normative beliefs about tobacco products differ by age: Implications for smoking cessation and harm reduction

OBJECTIVES/GOALS: The prevalence of combusted cigarette (CC) smoking among older adults is stagnant, with zero declines attributable to e-cigarette (EC) use. Normative beliefs predict quitting and switching to ECs (a behavior likely to yield health benefits for those unable to quit), so this study seeks to characterize the role of age in norms about CC and EC use. METHODS/STUDY POPULATION: Data come from Wave 5 (2018-2019) of the adult Population Assessment of Tobacco Use and Health (PATH) study, a nationally-representative, U.S. longitudinal cohort. Analyses were restricted to people with established CC use (smoked CCs in the past year, currently smoke regularly, and smoked ≥100 lifetime CCs; n=8,590). Cross-sectional weighted estimates of the prevalence of normative beliefs about CCs and ECs were calculated by age using the Balanced Repeated Replication (BRR) method with Fay=0.3. We used chi-square tests to examine the association of age group (18-24, 25-34, 35-44, 45-54, 55-64, or ≥65) with the prevalence of 2 descriptive and 4 personal social norms. RESULTS/ANTICIPATED RESULTS: The prevalence of the normative belief that most people disapprove of CCs (p DISCUSSION/SIGNIFICANCE: Older adults are more likely than younger adults to endorse anti-tobacco norms, which prior work shows is associated with quitting smoking. These beliefs could be leveraged to create targeted communications towards older adults encouraging smoking cessation. More research is needed to assess age-related tobacco beliefs and switching from CC to EC.

The potential of Wi-Fi data to estimate bus passenger mobility

Last decades have been marked by deep socio-economic transformations, an uneven evolution of transport demand in main urban areas and the emergence of new and more sustainable modes of transportation (carpooling, self-services bicycles). These changes have strongly impacted the interaction between service supply and demand in the transport industry. In this context, passive data as Wi-Fi and Bluetooth become a key source of information to understand individual mobility behaviors and ensure the sustainable development of transport infrastructures. In this paper, we present a framework that uses disruptive technology to collect passive data in buses, continuously and at a lower cost than traditional mobility surveys. Previous research, conducted over a more limited spatial and temporal framework, uses filtering methods, which do not allow the results to be replicated. This study uses artificial intelligence to sort transmitted signals, get transit ridership and build Origin–Destination matrices. Its originality consists in providing a concrete, automatic and replicable method to transport operators. The comparison of the results with other data sources confirms the relevance of the presented algorithms in demand forecasting. Therefore, our findings provide interesting insights for data-driven decision making and service quality management in urban public transport.

Performance Assessment of Collaborative Trust Models

This study assessed existing Collaborative Models for trust awareness to ensure effective friend-to-friend collaboration in an overlay network for better control of private data towards a robust social media interaction. The result obtained showed that the Trust-Aware Model (T-AM) demonstrated significant reliability regarding recommendation accuracy and convergence. This was because benchmarking the result from assessing the T-AM with the result from that of assessing existing collaborative models, showed that the T-AM had an accuracy of 0.875, and that of the existing collaborative model was 0.750. While the T-AM had a convergence value of 0.125, that of the existing collaborative model was 0.250. The existing model had an effectiveness value of 0.1875, while the T-AM had an effectiveness value of 0.1094. This implies that the T-AM provided improved recommendation accuracy considering the standard scale of 0 to 1, and convergence (in terms of time) on a scale of 0 to 1. The implication of this is that the T-AM’s ability to make recommendations is very significant since its accuracy value was 0.875 as compared to 0.750 of the existing collaborative models. For convergence, based on the scale rating provided above, it means that the T-AM provided accurate recommendations in a convergence of time of 0.125 as compared to 0.250 for the existing collaborative model. However, in terms of effectiveness, the T-AM performed less with an effectiveness value of 0.1094 as compared to the effectiveness value of 0.1875 of the existing collaborative models. The study concluded that trust data was effectively managed using the distributed hash table and symmetric replication methods, with significant improvement in reputational accuracy and convergence without compromising on scalability and secured online collaboration. Keywords: Trust Awareness, Effectiveness, Convergence, Accuracy, Collaborative Model

Free classification as a method for investigating the perception of nonnative sounds

AbstractOur study proposes the use of a free classification task for investigating the dimensions used by listeners in their perception of nonnative sounds and for predicting the perceptual discriminability of nonnative contrasts. In a free classification task, participants freely group auditory stimuli based on their perceived similarity. The results can be used to predict discriminability and can be compared to various acoustic or phonological dimensions to determine the relevant cues for listeners. The viability of this method was examined for both a segmental contrast (German vowels) and a nonsegmental contrast (Finnish phonemic length). Perceptual similarity data from the free classification task accurately predicted discriminability in an oddity task and separately provided rich information on how the perceptual space is shaped. These results suggest that a free classification task and related analyses are informative and replicable methods for examining nonnative speech perception.

Mapping Literature with Networks: An Application to Redistricting

AbstractUnderstanding the gaps and connections across existing theories and findings is a perennial challenge in scientific research. Systematically reviewing scholarship is especially challenging for researchers who may lack domain expertise, including junior scholars or those exploring new substantive territory. Conversely, senior scholars may rely on long-standing assumptions and social networks that exclude new research. In both cases, ad hoc literature reviews hinder accumulation of knowledge. Scholars are rarely systematic in selecting relevant prior work or then identifying patterns across their sample. To encourage systematic, replicable, and transparent methods for assessing literature, we propose an accessible network-based framework for reviewing scholarship. In our method, we consider a literature as a network of recurring concepts (nodes) and theorized relationships among them (edges). Network statistics and visualization allow researchers to see patterns and offer reproducible characterizations of assertions about the major themes in existing literature. Critically, our approach is systematic and powerful but also low cost; it requires researchers to enter relationships they observe in prior studies into a simple spreadsheet—a task accessible to new and experienced researchers alike. Our open-source R package enables researchers to leverage powerful network analysis while minimizing software-specific knowledge. We demonstrate this approach by reviewing redistricting literature.

Use of Zebrafish Embryos To Reproduce Human Norovirus and To Evaluate Human Norovirus Infectivity Decay after UV Treatment.

This study reports an essential improvement of the method for replication of human norovirus (HNoV) with the use of zebrafish (Danio rerio) embryos. With three HNoV genotypes and P-types GII.2[P16], GII.4[P16], and GII.17[P31], we demonstrated that this tool had higher efficiency and robustness than the zebrafish larvae as reported previously. When zebrafish larvae were injected with virus (1.6 ± 0.3 log genome copies/10 larvae), a significant increase of virus genome copies was detected at 2 days postinfection (dpi; 4.4 ± 0.8 log genome copies/10 larvae, P < 0.05) and the viral loads started to decrease gradually from 3 dpi. In comparison, when the viruses were injected into the zebrafish embryos, significant virus replication was noticed from 1 dpi and lasted to 6 dpi (P < 0.05). The virus levels detected at 3 dpi had the highest mean value and the smallest variation (7.7 ± 0.2 log genome copies/10 larvae). The high levels of virus replication enabled continuous passaging for all three strains up to four passages. The zebrafish embryo-generated HNoVs showed clear patterns of binding to human histo-blood group antigens (HBGAs) in human saliva by a simple saliva-binding reverse transcription-quantitative PCR (RT-qPCR). Last, in a disinfection study, it was shown that a dose of 6 mJ/cm2 UV254 was able induce a >2-log reduction in HNoV infectivity for all three HNoV strains tested, suggesting that HNoVs were more UV susceptible than multiple enteric viruses and commonly used HNoV surrogates as tested before. IMPORTANCE HNoVs are a leading cause of gastroenteritis outbreaks worldwide. The zebrafish embryo tool as developed in this study serves as an efficient way to generate viruses with high titers and clean background and a straightforward platform to evaluate HNoV inactivation efficacies. It is expected that this tool will not only benefit epidemiological research on HNoV but also be used to generate HNoV inactivation parameters which are highly needed by the water treatment and food industries.

Supply-demand measurement and spatial allocation of Sponge facilities for Sponge city construction

Sponge City Construction (SCC) has been extensively explored for controlling frequent urban waterlogging and non-point source pollution. Assessing the “supply” and “demand” of SCC as a city-wide approach may aid in appropriate areal coverage to achieve optimal performance on flood control based on local priorities and sustainable urban development plans. However, to date, very few studies have examined the potential spatial mismatches in the “supply” and “demand” of SCC. This study presented the development of a framework to explore the supply–demand relationship based on a spatial multi-criteria evaluation of the existing SCC facilities, risk exposure, and socio-economic vulnerability. The feasibility and application of such a framework were successfully demonstrated in a field application in Guangzhou, China. The results indicated that most of the high-density areas in the city centres of Guangzhou were exposed to high risk with strong SCC demands. Furthermore, Liwan and Yuexiu districts exhibited SCC supply deficits, while SCC supply surpluses were observed in other central districts in Guangzhou. The findings of this study provided insight into the development of a generalised and replicable method that could be used to achieve a balance between the “supply” and “demand” of SCC for more participatory, strategic and multifunctional planning of SCC in various urban contexts.

Fatigue Crack Growth Behavior and Failure Mechanism of Nickel-Based Alloy GH4169 under Biaxial Load Based on Fatigue Test of Cruciform Specimen

Due to the complex geometry and various cyclic loads, aeroengine components are often in a multiaxial complex stress state during service. Multiaxial fatigue is a major cause of many air accidents. It is of great significance to study the fatigue failure mechanism of aeronautical materials. This paper carries out biaxial fatigue tests on cruciform specimens and uses the surface replication method to record the initiation and propagation process of crack. Based on these fatigue tests, this paper studies the multiaxial fatigue characteristics of nickel-based alloy GH4169 for aeroengines and analyzes the fatigue crack growth behavior and failure mechanism of nickel-based alloys under a complex multiaxial stress state.

Toward a standardized methodology for sampling dung beetles (Coleoptera: Scarabaeinae) in the Neotropics: A critical review

IntroductionThe standardization of sampling protocols is imperative for robustly studying any taxonomic group. Replicable methods allow the comparison of data between different spatial and temporal studies. In the case of dung beetles, one of the best-studied indicator groups in analyses of environmental disturbance, a wide range of collection methodologies are used, from basic pitfall traps to more complex or complementary methods such as mini-Winkler extractor. Also, different types of attractive baits, sampling effort, durations, and designs are used in dung beetle studies. Variations in methodological approaches are particularly noted in the Neotropics, which may be related to the vast number of biological strategies and behavior of dung beetles that inhabit this region. A lack of methodological unification for the Neotropical region makes a cross-sectional analysis of the information impossible.MethodsWe performed a compilation and analytical review of the existing literature for dung beetle sampling in the Neotropics, discussing the most used methodologies, their advantages and disadvantages, and specific cases in which particular models are more efficient.ResultsPitfall traps baited with human excrement are the most common sampling method, but there is a wide range of models and variations in the structure of this trap. The complementary effect generated by flight interception traps, light traps, and direct collections, particularly within microhabitats, is exciting for the potential of finding new species. Some methodologies, such as mini-Winkler extractor, fogging, or very specific baits, are infrequently used.DiscussionThere was a lack of inclusion of spatial and temporal variation among studies. Therefore, it is necessary to consider broader sampling windows, which include different spatial scales, seasons, and years. Finally, we propose a standard protocol for sampling dung beetles in the Neotropics, depending on each objective, and including a basic methodology for obtaining complete local inventories.

Identifying the important outcomes to measure for pharmacy-led, clinical services within primary care: A nominal group technique approach.

The introduction of clinical pharmacy services is part of a multi-disciplinary approach to reduce pressure on primary care. Ascertaining the impact of clinical pharmacists in general practice is vital to ensure intended benefits are achieved. However, this is complicated by poor quality evidence, multiple interventions, and a lack of agreement regarding outcome measures. To develop an outcomes framework for clinical pharmacy services delivered in Scottish general practice using a consensus methodology. A modified nominal group technique (NGT) was conducted using Microsoft Teams and Qualtrics. This involved a pre-NGT questionnaire, silent generation of ideas, round robin, discussions, ranking, and a final consensus exercise. A selective sampling strategy recruited experienced pharmacists from Scottish health regions. NGT ranking results were used to signify relative importance of the outcome areas. NGT discussions underwent inductive thematic analysis to explore key areas considered. Overall, 13 (median: 24 years of experience) pharmacists participated, representing 11 of 14 Scottish regions. In total, 21 outcome areas, derived from the literature and a pre-NGT questionnaire, were considered during the NGT ranking exercise. Consensus identified five important outcome areas: Patient Experience, Medication Related Adverse Events, Cost-Effectiveness, Medication Optimisation, and Health Related Quality of Life. Thematic analysis highlighted the importance of the outcome framework's target audience, factors influencing the interpretation of outcomes, and the feasibility of the associated outcome measures. The five key outcome areas will facilitate evidence-based decisions regarding service delivery. Future work should develop a measurement plan, involving routinely collected sources of outcomes data. The feasibility of collecting outcomes in the real-world context should be considered, identifying measures which are easy to collect within existing data infrastructures. This paper describes a replicable method to gain consensus for a national approach to data collection from a strong theoretical basis using an online methodology.

Research on electrical load distribution using an improved bacterial foraging algorithm

This paper proposes an improved bacterial foraging algorithm for electrical load distribution to impro-ve power plants’ efficiency and reduce energy consumption costs. In the chemotaxis stage, the adaptive step size is introduced to accelerate the random search speed compared with the traditional algorithm. In the replication stage, a hybrid crisscross operator is proposed to replace the traditional binary replication method in the algorithm to ensure the diversity of the population and improve the efficiency of the algorithm. The adaptive dynamic probability is used instead of the initial fixed probability to improve the global search performance of the algorithm. The mathematical model of electrical load distribution in a natural power plant is established, and the improved bacterial foraging algorithm is used to solve the model. Through comparative analysis of two power plant unit experiments, it is proved that the results of the improved algorithm can reduce 3.671% and 1.06% respectively compared with the particle swarm optimization algorithm, and 7.26% and 1.37% respectively compared with the traditional bacterial foraging algorithm, which can significantly reduce the coal consumption of the power plant.

AOEHO: A New Hybrid Data Replication Method in Fog Computing for IoT Application.

Recently, the concept of the internet of things and its services has emerged with cloud computing. Cloud computing is a modern technology for dealing with big data to perform specified operations. The cloud addresses the problem of selecting and placing iterations across nodes in fog computing. Previous studies focused on original swarm intelligent and mathematical models; thus, we proposed a novel hybrid method based on two modern metaheuristic algorithms. This paper combined the Aquila Optimizer (AO) algorithm with the elephant herding optimization (EHO) for solving dynamic data replication problems in the fog computing environment. In the proposed method, we present a set of objectives that determine data transmission paths, choose the least cost path, reduce network bottlenecks, bandwidth, balance, and speed data transfer rates between nodes in cloud computing. A hybrid method, AOEHO, addresses the optimal and least expensive path, determines the best replication via cloud computing, and determines optimal nodes to select and place data replication near users. Moreover, we developed a multi-objective optimization based on the proposed AOEHO to decrease the bandwidth and enhance load balancing and cloud throughput. The proposed method is evaluated based on data replication using seven criteria. These criteria are data replication access, distance, costs, availability, SBER, popularity, and the Floyd algorithm. The experimental results show the superiority of the proposed AOEHO strategy performance over other algorithms, such as bandwidth, distance, load balancing, data transmission, and least cost path.

Standardization of Data Analysis for RT-QuIC-Based Detection of Chronic Wasting Disease

Chronic wasting disease (CWD) is a disease affecting cervids and is caused by prions accumulating as pathogenic fibrils in lymphoid tissue and the central nervous system. Approaches for detecting CWD prions historically relied on antibody-based assays. However, recent advancements in protein amplification technology provided the foundation for a new class of CWD diagnostic tools. In particular, real-time quaking-induced conversion (RT-QuIC) has rapidly become a feasible option for CWD diagnosis. Despite its increased usage for CWD-focused research, there lacks a consensus regarding the interpretation of RT-QuIC data for diagnostic purposes. It is imperative then to identify a standardized and replicable method for determining CWD status from RT-QuIC data. Here, we assessed variables that could impact RT-QuIC results and explored the use of maxpoint ratios (maximumRFU/backgroundRFU) to improve the consistency of RT-QuIC analysis. We examined a variety of statistical analyses to retrospectively analyze CWD status based on RT-QuIC and ELISA results from 668 white-tailed deer lymph nodes. Our results revealed an MPR threshold of 2.0 for determining the rate of amyloid formation, and MPR analysis showed excellent agreement with independent ELISA results. These findings suggest that the use of MPR is a statistically viable option for normalizing between RT-QuIC experiments and defining CWD status.

Preparation and analysis of conductive and superhydrophobic silicone rubber

Conductive and superhydrophobic rubber products are of great significance to the safety and long-term use of outdoor equipment. However, the preparation of low-cost conductive, superhydrophobic rubber products with good extensibility, durability, stability, and environmental adaptability remains a challenge. In this paper, conductive and superhydrophobic silicone rubber composites with uniform concave-convex structure were prepared on the surface of silicone rubber by filling carbon nanotubes (CNTs) in the silicone rubber matrix and using 2000 mesh screen template replication method and spraying technology. Using the self-made conductive circuit, the good electrical conductivity of the silicone rubber composite was verified at 200% elongation and after 500 times of torsion. In addition, the silicone rubber composite had good droplet bounce, anti-icing and self-cleaning properties.

A discipline-wide investigation of the replicability of Psychology papers over the past two decades

Conjecture about the weak replicability in social sciences has made scholars eager to quantify the scale and scope of replication failure for a discipline. Yet small-scale manual replication methods alone are ill-suited to deal with this big data problem. Here, we conduct a discipline-wide replication census in science. Our sample (N = 14,126 papers) covers nearly all papers published in the six top-tier Psychology journals over the past 20 y. Using a validated machine learning model that estimates a paper's likelihood of replication, we found evidence that both supports and refutes speculations drawn from a relatively small sample of manual replications. First, we find that a single overall replication rate of Psychology poorly captures the varying degree of replicability among subfields. Second, we find that replication rates are strongly correlated with research methods in all subfields. Experiments replicate at a significantly lower rate than do non-experimental studies. Third, we find that authors' cumulative publication number and citation impact are positively related to the likelihood of replication, while other proxies of research quality and rigor, such as an author's university prestige and a paper's citations, are unrelated to replicability. Finally, contrary to the ideal that media attention should cover replicable research, we find that media attention is positively related to the likelihood of replication failure. Our assessments of the scale and scope of replicability are important next steps toward broadly resolving issues of replicability.

Managing “Last Moment Behavior”: Non-binding target dates to reduce the spikes in task completion at deadlines

Many large governmental programs - such as census, tax returns, grant applications, subsidy applications - have to deal with large volumes of submissions that take place right before the deadline. To study how to alleviate the overload during the peak submission period, we conducted two field experiments in a national census that includes submissions from farming enterprises in the Netherlands (n = 28,557 in 2016; n = 19,733 in 2017). The results show that setting an earlier non-binding target date for submission is a robust, replicable and effective method of nudging towards earlier submission. The treatments with non-binding target dates increased the probability of submitting before the peak-period by 4–5 percentage points on average. Letting people choose their own non-binding target date was also effective, yet with a smaller effect size of 3 percentage point increase in off-peak submissions. Reminding people of “early submission, early evaluation”, and providing a checklist of information to help with the submission did not improve the timing of submissions.

The history of resection prosthesis.

The purpose of this historical review is to highlight the progression and development of prosthetic reconstruction with a focus on the modular distal femur with hinged total knee arthroplasty. Scientific literature was searched for descriptions of endoprosthetic reconstruction of the extremities to provide a thorough overview of the subject, focusing the research on the evolution of limb salvage of the distal femur. After the first works of Gluck and Giordano, with ivory and metal and the pioneer shoulder prosthesis by Pean in the late 1890s, a great advancement was brought by reconstructions performed for injured soldiers of the Great War. By the 1940s, replacement of all the main joints had been attempted, and documented. Walldius in the 1950s developed a fully constrained hinge knee, offering for the first time a consistent and replicable method of substituting the joint. In 1953, Shiers' prosthesis allowed for good flexion and extension. Stanmore and GUEPAR group prosthesis in the 1960s were the first to have a different right and left side model. The rotating hinge was developed in 1978 by Walker, with the innovative concept of six degrees of freedom. Between 1979 and 1982, Kotz developed the modular segmental replacement that, added to a fixed hinge knee, permitted the revolutionary creation of the modern distal femur replacement. The study of the materials and mechanical solutions that was brought to the modern distal femur resection prosthesis is a good example of a virtuous multidisciplinary teamwork between orthopaedic surgeons, anatomists, and biomechanical engineers.

Efficient thread‐to‐core mapping alternatives for application‐level redundant multithreading

SummaryRedundant multithreading (RMT) is an effective thread‐level replication method to improve the reliability requirements of applications. Although it significantly improves the robustness of applications, it comes with additional performance overhead since the redundant threads might share the same core resources. In our previous study [Efficient selective replication of critical code regions for SDC mitigation leveraging redundant multithreading.J Supercomput2021;77:14130‐14160], we presented an efficient software‐level RMT approach, where we execute the most critical code regions with three threads to correct errors. In this study, we focus on further improving the performance of our software‐level RMT method by presenting a set of different thread‐to‐core mapping alternatives. We provide different static mapping methods, which require preliminary information about the applications, such as execution time, instruction‐per‐cycle (IPC), or cache usage patterns, and a set of dynamic mapping methods, which map threads to cores dynamically at runtime without requiring any additional information. The dynamic mapping methods decide which threads are mapped to which cores at each scheduling point based on the IPC, cache miss rate, or cache access values of each thread as well as each core. Experimental results show that the dynamic mapping method, which maps threads to cores based on IPC values, outperforms all other static and dynamic methods. It also outperforms our baseline model, where the operating system handles the thread‐to‐core mappings by 8%, 7%, and 20% based on average speedup, harmonic speedup, and mean slowdown metrics.