Frequency Of Errors Research Articles

Analysis of grammatical errors in English speaking of Thai EFL Students

The purpose of the present study was to investigate the instances of grammar mistakes in the spoken English of Thai EFL university students. The research objectives were to compare the errors committed in lexical and sentence structure and their frequencies. The participants comprised 43 first-year English for Business Communication students learning General Listening and Speaking courses at the Sakon Nakhon Rajabhat University. The data was gathered through recorded impromptu speeches on randomly assigned topics. The recordings were transcribed and then the data was analyzed using the Surface Strategy Taxonomy. The findings showed that there were 158 grammatical mistakes in total, and they are based on four main categories. Misformation errors were most prevalent, accounting for 69.62% of all errors, with subject-verb agreement (25.32%) and verb form (17.72%) errors being particularly common. Additional errors constituted 15.82%, omission errors 13.29%, and misordering errors 1.27% of the total. The most frequent subcategories were subject-verb agreement errors (25.32%), verb form misformation (17.72%), and tense misformation (12.66%). These results indicate that Thai EFL learners have considerable difficulties in utilizing appropriate grammatical structures in spoken English, and particularly verbs and agreements. The high frequency of misformation errors points to the fact that more focused instruction on problematic structures need to be addressed in lessons in contexts that convey meaningful communication. As such, it provides findings that could help plan specific instructional strategies and curriculum design for enhancing Thai students' spoken English proficiency.

Effectiveness of an educational intervention on different types of errors -occurring during inhaler therapy use in COPD patients during a -Pulmonary Rehabilitation Program.

Inhaled drug therapy is an essential treatment in Chronic Obstructive Pulmonary Disease (COPD) patients as it reduces symptoms, exacerbation rate and mortality risk. Errors in inhaler use can affect drug delivery to the lungs and minimize treatment benefits. The aim of the study was to evaluate the effect of a nurse-lead educational intervention on inhaler use in a group of patients with COPD during a Respiratory Rehabilitation Program. COPD patients attending a Respiratory Rehabilitation Unit for a pulmonary rehabilitation program participated in the educational training program. The nurse-lead educational intervention included a specific checklist used to evaluate each patient's inhalation technique. Errors were scored and classified as device- dependent, device-independent and critical one. Patients completed a pre and post-intervention survey to compare pre and post nurse-lead educational intervention results. One-hundred twenty-three COPD patients attending a Respiratory Rehabilitation Unit participated in the training program. A high frequency of total errors has been found at baseline (72.1%) whose critical errors represented 35%, irrespective of the severity of airway obstruction, the length of disease history and the educational level. The structured educational intervention resulted in changes on patients' attitudes and skills on inhaler use with a significant reduction in the frequency of all types of errors (P-value < 0.01), particularly total and critical errors (35% and 12.9%, respectively), but not completely eliminated them. Patient training in the use of the inhaler and regular review of the patient's competence in using the devices by health care professionals remains a crucial aspect of effective inhalation therapy regardless of the disease trajectory. These interventions are feasible and may impact the ability to engage patients in the chronic care journey.

From terminological inconsistencies to major mistranslations

This article presents a qualitative analysis of frequent NMT errors in public health communication. Its primary aim is to sensitise users and decision-makers to common issues and raise public awareness for potential pitfalls and limits of current state-of-the-art NMT systems. In this context, the article also addresses the usability of raw NMT output in emergency situations. The investigation itself focuses on pandemic-related WHO texts and consists of a fine-grained manual error analysis encompassing three languages (English, French, and Spanish) and two NMT systems (DeepL and Google Translate). The five most frequent error types observed in this investigation included mistranslations, inconsistent use of terminology, unidiomatic or awkward style, untranslated text, and other internal inconsistencies. These error types are illustrated with examples and analysed in terms of their severity, their underlying causes, and their potential consequences. The findings show that raw NMT output is useful only to a very limited extent and that the risks and benefits associated with its use should be assessed extremely carefully.

Probabilistic qualitative spatial reasoning with applications to GeoQA

This paper explores the use of probabilistic and conventional qualitative spatial reasoning (QSR) in the context of geospatial question answering (GeoQA) systems. The paper presents a thorough empirical investigation of the performance of a probabilistic and a conventional qualitative spatial reasoner, across a range increasingly sophisticated scenarios with real data and synthetically generated questions. The results indicate the potential of probabilistic QSR to provide more detailed information about spatial configurations than conventional QSR; but at the cost of less frequent errors in estimating the relative likelihood of different reasoning conclusions. Errors in probabilistic reasoning also tend to be systematically associated with lower probability conclusions. The results have implications for reliable and flexible automated spatial reasoning systems, especially where neither conventional geographic information retrieval (GIR) techniques nor large language models (LLMs) are able to provide a satisfactory solution to GeoQA problems.

Analysis of Preanalytical Errors in Clinical Biochemistry Laboratory of a Tertiary Care Hospital: A Retrospective Study

Introduction: Pre-analytical phase of laboratory testing is the most susceptible phase, as errors in this phase leads to more than 50% of erroneous results and often breaches the trust of the stakeholders on the quality of the laboratory results. Many pre-analytical errors occur during the pre-analytical phase, encompassing sample collection, labelling and transportationfactors often beyond the laboratory’s direct control. Aim: To determine the type and frequency of pre-analytical errors leading to sample rejection in clinical biochemistry laboratory. Materials and Methods: Being a retrospective descriptive study, convenient sampling was used to analyse sample rejection due to pre-analytical errors in clinical biochemistry laboratory of a tertiary care teaching hospital- PSG Institute of Medical Sciences and Research, Coimbatore, Tamil Nadu, India for a period of six months from May 2023 to October 2023. All the cases/blood samples from Outpatient Department (OPD) and Inpatient Department (IPD), received and rejected during this period were included under study. The data collection and analysis was done over a period of five months using the sample rejection and resample description from Laboratory Information System (LIS). Using Statistical Package for the Social Sciences (SPSS) version 28.0, data were summarised using descriptive statistics such as numbers and percentages. Results: During the six months period out of the total of 667454 samples, 1505 (0.23%) samples were rejected due to pre-analytical errors. The majority of the samples which were rejected were from IPD than OPD. Among the pre-analytical errors, haemolysis accounted for 806 (53.6%), clotted samples 256 (17%), delta check 217 (14.4%), insufficient sample 129 (8.6%), contamination 74 (4.9%), identification error 14 (0.9%), sample without request form 3 (0.2%) while missing samples, billing error, inappropriate tube, delay in transport and wrong test selection accounted for &lt;3 (0.1%). Conclusion: Haemolysis and clotted samples were the most common pre-analytical causes for sample rejection in the laboratory. The samples from IPD were rejected more often than OPD due to incorrect phlebotomy techniques. This accentuates the need for proper hands-on phlebotomy training sessions for novice nurses following their recruitment, as their competency will be instrumental in bringing down the errors in pre-analytical phase.

A robust GNSS velocity estimation method combining Doppler and carrier phase observations in complex urban environments

Accurate and reliable velocity information is crucial for kinematic positioning, as it not only characterizes the carrier state but also serves as constraint information for positioning. However, due to the influence of low-cost Global Navigation Satellite System (GNSS) chips and complex environments, GNSS signals are prone to attenuation and interruptions. Consequently, frequent gross errors and cycle slips occur in observations, significantly degrading the velocity precision and reliability. To address this challenge, we have proposed a method combining Doppler and Time-Differenced Carrier Phase Velocity Estimation (D-TDCPVE). First, we assess the accuracy of both Doppler and carrier phase observations to determine the appropriate weight ratio for their combination. Second, we analyze the correlation between the two observation types and propose an adaptive parameter estimation strategy for estimating one or two clock bias variations to address their potential differences. Finally, we incorporate a combination of pre- and post-detection quality control measures along with additional cycle slip parameters to mitigate the impact of gross errors and cycle slips in complex environments. Experimental results conducted with three low-cost devices in urban environments demonstrate the superior performance of the D-TDCPVE method over both Doppler velocity estimation (DVE) and time-differenced carrier phase velocity estimation (TDCPVE). It enhances the success rate of velocity estimation by 3.3% to 20.1% compared to TDCPVE and improves velocity estimation accuracy by 16.1% to 60.9% compared to DVE. Moreover, the method does not necessitate the combination of dual-frequency observations, making it particularly valuable for cycle slip detection in scenarios involving mixed single- and dual-frequency observations, which is particularly useful in urban environments.

WEATHERING THE STORM: A SYSTEMATIC LITERATURE REVIEW OF WEATHER STATIONS’ OBSERVATIONAL PRACTICES

This literature review examines the accuracy, error frequency, and the impact of workload and decision-making on the weather observations made by PAGASA synoptic station personnel in the Cordillera Administrative Region (CAR). The accuracy of weather data collected by PAGASA is critical for reliable forecasting and timely decision-making in various sectors, including agriculture, disaster management, and transportation. The review highlights key factors influencing data accuracy, such as instrument calibration and human error. Studies show that while the accuracy of weather observations is generally high, occasional discrepancies occur, often due to technical issues or human mistakes in data recording, especially during extreme weather events. The review also explores the frequency of errors in weather observation data. Research indicates that errors are infrequent, but they are more likely to occur during severe weather conditions or in cases of equipment malfunctions or power failures. Although external factors can occasionally disrupt the data collection process, the overall frequency of errors remains relatively low. Furthermore, the impact of workload and decision-making on the accuracy of observations is discussed. Heavy workloads during peak weather seasons and the pressure of rapid decision-making during extreme weather events were found to contribute to an increased likelihood of errors. Studies emphasize the importance of managing workload and decision-making stress to maintain the quality of data. The review concludes by suggesting that further research, training, and technological improvements are needed to enhance the accuracy and reliability of weather observations in PAGASA synoptic stations in CAR.

A Generalized and Efficient Equivalent Circuit Model for Frequency Selective Surfaces

Owing to their excellent intuitiveness and simplicity, equivalent circuit models (ECMs) are widely used to investigate and design frequency selective surfaces (FSSs). However, the generalization and accuracy of ECM has been a contentious issue, especially with regard to the requirement for analyzing diverse and numerous FSSs versus the restrictions applied to it. To address this problem, a generalized and efficient equivalent circuit model (GE-ECM), characterized by the feasibility of dealing with multiple sizes, broadband, and large oblique incidences, is proposed in this study to design FSSs and analyze their electromagnetic performance. In contrast to related works, gap and width factors are accounted for in the proposed GE-ECM to recalibrate the reactance and susceptance of the physical model, respectively. Additionally, normalized sizes of structure periods are introduced to further extend its generalization. Good agreement is achieved between the frequency responses of the GE-ECM and the electromagnetic software CST. Furthermore, excellent adaptation to multiple sizes and broadband is achieved from 0 GHz to 20 GHz, with the average relative error of the resonant frequency being only 1.19% for all sizes. Fabrication and measurements were conducted to verify the practicability of the proposed GE-ECM, with all results confirming its accuracy and universality in interpreting electromagnetic performance, thus establishing a reliable theoretical guideline for designing more complex FSSs.

The Distribution and Frequency of Grammatical Errors in Second Language Writing: A Case Study of Chinese High School Students

As Error analysis in second language writing remains controversial, this study aims to investigate errors with high frequency in L2 writing of high school students in China and reveal the relationship between writing tasks and error types. By analyzing compositions in high school English exams, the study will discover the distribution pattern frequencies of different errors and make comparisons of students at different levels. The findings indicate that verb tense errors are the most frequent but decrease as students progress in grade level, while syntactical errors become more prevalent in more complex tasks, such as continuation writing. This study highlights the persistent challenges students face in constructing grammatically accurate sentences in flexible writing tasks. These insights provide empirical evidence for targeted grammar instruction, emphasizing verb usage and sentence structure complexity to improve overall writing proficiency.

Patient-Specific Blister Packaging of Medications in the Oncology Camp Setting: Optimizing Medication Safety and Dispensing Processes.

Background: Safe medication delivery is an essential component of medical care in the overnight summer camp setting, especially for children with cancer and medical complexity. Blister packaging of medications is a method that may improve safety in this setting. Method: In this quality improvement project, we implemented and evaluated a system of on-site blister packaging of medications with the goal of optimizing the safety and efficiency of medication delivery at a large overnight summer camp for children with cancer. Data for the number and types of medications delivered and medication errors were described in the summer sessions prior to and post this implementation. Quantitative and qualitative clinician feedback was collected. Results: In the summer of 2023, there were 551 campers, 342 (62%) of whom received at least one medication and with the number of medications per child ranging from 0 to 18. There were 70/551 (20%) of campers who received high-risk medications defined as oral antineoplastic therapy and controlled substances. The frequency of medication errors was very low across all summer sessions. The mean number of errors in the preimplementation period was 1/1,000 errors per medication dispensed (0.1%), whereas in the postimplementation period, it was 0.4/1,000 (0.04%). In postcamp survey, qualitative responses from medical staff described that they perceived blister packaging of medications to improve safety and decrease workload. Discussion: The implementation of on-site blister packaging of medications is a feasible system for optimizing medication safety and delivery in an overnight camp for children with cancer.

Research on Stability of Removal Function in Figuring Process of Mandrel of X-Ray-Focusing Mirror with Variable Curvature

Over the past 30 years, researchers have developed X-ray-focusing telescopes by employing the principle of total reflection in thin metal films. The Wolter-I focusing mirror with variable-curvature surfaces demands high precision. However, there has been limited investigation into the removal mechanisms for variable-curvature X-ray mandrels, which are crucial for achieving the desired surface roughness and form accuracy, especially in reducing mid-spatial frequency (MSF) errors. It is essential to incorporate flexible control in deterministic small-tool polishing to improve the tool’s adaptability to curvature variations and achieve stable, Gaussian-like tool influence functions (TIFs). In this paper, we introduce a curvature-adaptive prediction model for compliance figuring, based on the Preston hypothesis, using a compliant shaping tool with high slurry absorption and retention capabilities. This model predicts the compliance figuring process of variable-curvature symmetrical mandrels for X-ray grazing incidence mirrors by utilizing planar tool influence functions. Initially, a variable-curvature pressure model was developed to account for the parabolic and hyperbolic optical surfaces’ curvature characteristics. By introducing time-varying removal functions for material removal, the model establishes a variable-curvature factor function, which correlates actual downward pressure with parameters such as contact radius and contact angle, thus linking the variable-curvature surface with a planar reference. Subsequently, through analysis of the residence time distribution across different TIF models, hierarchical filtering, and PSD distribution, real-time correction of the TIFs was achieved to enable customized variable-curvature polishing. Furthermore, by applying a time-varying deconvolution algorithm, multiple rounds of flexible polishing iterations were conducted on the mandrels of a rotationally symmetric variable-curvature optical component, and the experimental results demonstrate a significant improvement in form accuracy, surface quality, and the optical performance of the mirror.

Common Linguistic Mistakes Made by Yemeni EFL Arabic-Speaking Learners in Their Writing

Yemeni EFL students use a variety of communication skills, including writing, to interact with others. But because English is not their first language, many have difficulty writing. Provided that teaching English requires a variety of abilities, including writing. Since merging knowledge has made it more difficult for Yemeni EFL Arabic-speaking learners to succeed, this study aims to address common linguistic errors produced by these learners in their writing. Using surface approach taxonomy and mistake analysis, the study looks at linguistic errors made by Hodeidah University undergraduate students in order to provide writing skills recommendations. The study employs qualitative analysis, evaluating essay data from twenty Yemeni EFL eighth-semester Arabic-speaking students at Hodeidah University using Ellis' five-step error analysis (EA) approach. According to the research, omission is the most frequent error made in their works. The EA system entails gathering samples, identifying errors, comparing them to "correct," categorizing faults according to the Dulay et al. (1982) approach, and calculating the total number of errors. Out of 201 errors, 58.71% were in learners' writing, mainly due to intralingual transfer. Common errors included number markers, verb-tenses articles, prepositions, subject-verb agreements, and pronouns. Other common errors included word order, addition, and incorrect formation. Factors contributing to these errors include inter-linguistic comparisons between Arabic and English, auxiliary verb disregarding, inflectional morphemes, and verb conjugation components. After discussing the reasons for this study, its importance, analyzing the errors, and identifying the results, the researcher recommends language teachers provide ongoing feedback to prevent errors from becoming fossilized and encourage students to master the correct form of the target language.

Errors in Russian written speech of native speakers of a foreign language studying in Moscow Region schools

Many children who are native speakers of foreign languages study in Moscow Oblast schools. Russian is a foreign language for them. The major difficulty such students face is written speech in Russian. This study aims to identify errors in their written speech and to analyse the obtained results. The respondents were the P class students in the 4th year of Domodedovo Secondary School No. 12 named after V. D. Presnov. They represented the near abroad, as well as Bashkortostan and Dagestan. The material for the study was the schoolchildren’s written works (essays and expositions) produced at the end of the 2022/2023 academic year. The papers were analysed and quantitatively processed. The research results indicate that the most frequent errors in the written speech of native speakers of foreign languages are spelling, punctuation, and phonetic-graphic mistakes. The reasons for the specified errors include the lack of reading skills in Russian and language transfer. Lexical and grammatical mistakes tend to decrease since early education of children in the multicultural environment of the Russian primary school enables error minimisation. It has been proved that a special role is performed by teachers who have certain teaching experience and are familiar with the methodology basics of teaching Russian as a foreign language.

The effect of cancer and cancer treatment on attention control: evidence from anti-saccade performance.

Cancer and cancer treatment have been associated with cognitive changes in survivorship, with forgetfulness and distractibility reported years post-treatment. Deficits in attention control may explain these difficulties. We assessed breast cancer survivors using a primary measure of attention control, the saccade/antisaccade task, to assess the effects of diagnosis and treatment. Saccade performance was studied in a cohort of breast cancer patients at two time points, (1) after surgery before adjuvant treatment and (2) approximately 2years after enrollment, and compared to non-cancer controls. Saccade performance was assessed in a prosaccade task as well as in visually guided and unguided antisaccade tasks. We assessed the frequency of directional errors and saccadic reaction time. Survivors were more likely than controls to make directional errors in an unguided antisaccade task, with older survivors exhibiting the most significant difficulties following adjuvant treatment. Survivor and control performance were much more similar in a visually guided antisaccade task. These results indicate a main effect of cancer diagnosis on attention control, with greater deficits following treatment and in older survivors. Deficits in attention control may lead to greater difficulties in the initial learning of information, explaining reports of forgetfulness in survivors. These findings underscore the enduring impact of cancer and its treatment on attention control, particularly highlighting that older breast cancer survivors may experience more pronounced difficulties with inhibitory control in daily life. Antisaccade performance may provide a useful metric for quantifying this impact.

Enhancing Metalinguistic Awareness Through Microlearning: A Comparative Analysis of Catalan Acquisition Between Multilingual French and English Learners

Knowing that previously learned languages may influence and support language learning among multilingual learners, equipping educators with diverse tools and resources empowers them to make more informed decisions in facilitating language learning. This holds particular significance in the case of minority languages like Catalan, where resource availability tends to be more restricted. This paper presents the findings of a project aimed at identifying the specific needs of multilingual B1 learners of Catalan. Using a comprehensive five-way classification system, the study compares the written productions of multilingual learners from different linguistic backgrounds (English and French L1 learners of Catalan). Analyses revealed a similar pattern regarding the nature of the errors, with incorrect word selections at the lexical-semantic, syntactic, and orthographic levels being the most frequent. Both groups differ significantly in terms of the distribution of errors; however, they did not differ when the analyses were conducted by error types. In both cases, the most frequent error was the lexical-semantic misselections, with false analogies and incomplete applications of rules explaining the errors. These findings led to the creation of just-in-time microlearning capsules tailored to address these issues. The microlearning capsules were designed to enhance students' metalinguistic awareness. Students' and teachers' perceptions of the tool were also assessed, and both groups predominantly viewed interlinguistic information as beneficial to language learning. This project highlights how microlearning, tailored to frequent errors, can bolster multilingual learners' acquisition and provides promising tools for language teaching.

LC dynamic signal modeling and analysis of resonant frequency measurement error under rapid eye movements interference

Abstract LC resonant wireless passive intraocular pressure (IOP) sensors measure IOPs by mapping them to LC resonance frequencies. However, during the sweeping acquisition process of each LC signal frame, possible rapid eye movement (REM) can interfere with the wireless mutual inductance coupling, leading to the signal distortion and resulting in the error of resonance frequency measuring. Currently, there is a lack of modelling analysis of the errors generated by REM effect, resulting in an absence of guidance for reducing the impact. Therefore, here, we start from the perspective of the signal model and establish the LC dynamic signal model for sweeping acquisition. By means of the limit state analysis and Monte Carlo simulation, we analyze the influence of external REM parameters (including REM range and velocity) and internal parameters of the LC sensing system (including the quality coefficient of LC sensor, diameter, and number of turns of the reader coil, signal sweep acquisition speed and period) on the errors. We demonstrated theoretical relationship between the extreme errors with these parameters and verify it through a computer simulation. Based on the results, we propose to optimize the internal parameters of the LC sensing system to reduce the REMs effect on errors, safeguarding the quality of signal acquisition and improving the measurement accuracy.

Validity of data extraction in acupuncture meta-analysis: a reproducibility study protocol

IntroductionSystematic review and meta-analysis occupy the apex of the evidence pyramid, serving as the most comprehensive and reliable form of evidence-based assessment. Data extraction is a crucial juncture in meta-analysis,...

Reducing potential dual-use risks in synthetic biology laboratory research: a dynamic model of analysis

Synthetic biology (SynBio) is an interdisciplinary field that includes biology, genomics, engineering, and informatics. The introduction of machine learning technology reduces the requirement for human participation in SynBio research, which may lead to increased biosafety and biosecurity concerns within the complex human–technology-management system in SynBio laboratories compared with traditional biology. The rapid development of SynBio and machine learning technology has added to the systemic complexity of management and technology subsystems, the risks of which remain unclear. To fully understand and address these risks, there is an urgent need to develop a quantitative model. In this study, three-round Delphi interviews were conducted with SynBio experts who have published articles in top journals (e.g., Nature, Science, Cell, etc.) and applied the system dynamics method to build a quantitative analysis model. The model explores the potential risk factors and their complex relationships in the SynBio research. We analyzed three subsystems (biotechnology, information technology, and management), identifying seven key risk factors. Among these, the Average Experience of Newcomers and Tolerable Error Frequency play an essential role in laboratory management. Notably, the biosafety atmosphere has the greatest impact on reducing error rate and increasing safety awareness, as well as on the infrastructure safety of SynBio laboratory. In addition, we also consider the impact of the progressiveness of machine learning in the SynBio research and find that using more advanced machine learning technology leads to lower instrument safety. This study provides a framework for quantifying potential risk factors in SynBio research and lays a theoretical foundation for future laboratory safety management and the development of a global code of conduct for interdisciplinary scientists.

The effect of calculus and kinematics contexts on students’ understanding of graphs

In this study, we compare students’ understanding of the derivative as slope and the antiderivative as the area under the curve using isomorphic graph-based problems in both calculus and kinematics contexts. Drawing from previous research, we designed two isomorphic tests, each with 12 items, and administered them to 543 university students. Our findings show that students performed significantly better on the kinematics test, with a higher rate of correct answers in some items. We also identified the most frequent errors and general trends in students’ selection of incorrect answers across both contexts. Based on these results, we provide specific recommendations for improving the instruction of these concepts. The analyses, recommendations, and tests included in the study can serve as valuable resources for mathematics and science education researchers and instructors teaching these topics. This study offers insights into how context influences students’ conceptual understanding, with implications for enhancing calculus and physics education.

Intelligent adaptive nonlinear autoregressive eXogeneous neuro‐structure for ferromagnetic Powell‐Eyring fluidic involving cubic autocatalysis chemical reaction

AbstractThe scope of artificial intelligence in the field of fluid mechanics has been expanded with the development sophisticated technology to enhance the efficiency, reliability, solve complexities, introduced alternate transformation and enabling more dependable solutions with their analysis. The goal of this study is to investigate the ferromagnetic Powell‐Eyring fluids (FMPEFs) model with non‐Fourier heat flux by using artificial intelligence‐based scheme by exploiting the adaptive nonlinear autoregressive eXogenous (NARX) neuro‐architecture with backpropagation of Levenberg Marquart (LM), that is, NARX‐LM. The developed NARX‐LM methodology applied on synthetic datasets acquired with the help of Adams numerical method for FMPEF system by prudently changing physical quantities that is, material parameters of Eyring Powell, homogeneous reaction, heterogeneous reaction, dimensionless thermal relaxation time, Prandtl number, Schmidt number with fixed values parameter of ferrohydrodynamic interaction, rate of diffusion coefficient. Outcomes of NARX‐LM are regularly overlapping with the numerical results for the FMPEFs system having reasonable small error magnitude for each variant. The proficiency of intelligent computing anticipated on FMPEFs is depicted exhaustively with iterative mean squared error based iconvergence curves, analysis of adaptive controlling factors, error frequency distribution on the histograms, auto‐correlation, and correlation measures.