Possible Causes Of Errors Research Articles

A survey on the practice of phlebotomy in Lithuania and adherence to the EFLM-COLABIOCLI recommendations: continuous training and clear standard operating procedures as tools for better quality.

The aim of this study was to determine the level of compliance of venous blood sampling (VBS) in Lithuania with the joint recommendations of the European Federation of Clinical Chemistry and Laboratory Medicine and the Latin American Confederation of Clinical Biochemistry (EFLM-COLABIOCLI) and to analyse possible causes of errors. A survey was conducted between April and September 2022. A self-designed questionnaire was distributed to the Lithuanian National Societies. Error frequencies and compliance score were computed. Differences between groups were analysed using Pearson's chi-square, Fisher's exact criterion, Mann-Whitney U (for two groups), or Kruskal-Wallis (for more than two groups) for categorical and discrete indicators. The association between ordinal and discrete variables was assessed using Spearman's rank correlation coefficient. Statistical significance was determined at P < 0.05. A total of 272 respondents completed the questionnaire. Median error rate and compliance score were 31.5% and 13/19, respectively. Significant differences were found among professional titles, standard operating procedures availability, training recency, and tourniquet purpose opinions. A negative correlation was noted between compliance and time since training (rs = - 0.28, P < 0.001). The findings of this study indicate that there is a significant need for improvement in compliance with the EFLM-COLABIOCLI recommendations on VBS among specialists in Lithuania. Essential measures include prioritizing ongoing phlebotomy training and establishing national guidelines. Harmonisation of blood collection practices across healthcare institutions is crucial.

Determinants That Affect Patient Safety At Work: A Literature Review

Nursing practice is sometimes found that patient safety is carried out by nurses at work so that this raises concerns for the public to seek treatment.To determine the determinants that affect patient safety at work.This systematic review begins with a literature review from various sources. Articles were collected using search engines such as PubMed, google schoolar, science direct, ProQuest and Elsevier. The articles used in the study were published from 2018-2023. Articles were searched using keywords that have been determined by the researcher then articles were extracted based on inclusion and exclusion criteria using the PRISMA protocol. Thus, 15 articles were found that matched the critical appraisal criteria for analysis.Based on the articles collected, it was found that patient safety is a topic that has been the subject of much discussion in recent decades. Patient safety is defined as failure to accomplish what was planned or achieving something using the wrong means. In brief, there are two elements to patient safety: a plan and an aim. This means that there are two possible causes of error: the medical provider made the wrong plan and the patient was injured, and the provider made the right plan but there was an error in execution that caused the patient to be injured. These errors can occur due to several things, such as work environment disorders, fatigue, lack of team coordination, and communication failures.Communication, environmental conditions, workload, distraction at work, and staff education are factors that significantly affect patient safety at work. It is expected that nurses in providing health services must improve quality which will be able to provide comfort and quality service to patients in terms of improving patient safety.

Grammatical Errors Analysis in Descriptive Text Writing

The purposes of this research were to find out studens’ grammatical errors on writing descriptive text and the possible causes of their grammatical errors. This research used descriptive qualitative method with the 20 participants of IPA MA NW Perian as the sample. Observation, interview, and questionare were used as the research instruments. The result showed that the students produce 44,87 % errors in using verb, 23,07 % errors in using noun, 16,66 % errors in using pronoun, 8,97 % errors in using preposition, and 6,41 % errors in use of adjective. The students produced 44,87 % errors from 78 of total number of errors in writing descriptive text. Based on the result interview and questionnaire the researcher found that most students knew descriptive text definition but frequently found it difficult to write descriptive text since they were still confused in grammar, vocabularies arrangement, and word orders. It was concluded that the possible causes of errors are grammatical, words selection, and word orders.

Tractography in functional neuronavigation

The review addresses the combined use of tractography and neuronavigation. Fundamentals of diffusion tensor imaging are given, technical aspects of fiber tracking in general and in depicting separate subcortical tracts are described. Main advantages of the method and possible causes of errors are highlighted. Precision assessment of this technology is given by comparing with results of subcortical neurostimulation. Surgical tactics is described depending on distance between the tumor and subcortical pathways.

A Note on “Ciris” 15: quattuor antiquis heredibus est data consors

Abstract It is argued in this note that the word quattuor in line 15 of the “Ciris” should be emended to quatenus. A possible cause of error is also suggested.

Evaluation of Gram Stain Error Rates of Clinical Specimens

Objective: To determine important errors in initial Gram staining of clinical specimens and evaluate the types of Gram-stain errors.&#x0D; Study Design: Cross-sectional study.&#x0D; Place and Duration of Study: Microbiology Department, Armed Forces Institute of Pathology, Rawalpindi Pakistan, from Aug 2018 to Feb 2019.&#x0D; Methodology: Gram staining and culture inoculation of all specimens were performed per recommended guidelines. The Gram stain results on day-0 were compared with the results of the culture on day-2. There was no discrepancy if similar organisms were obtained on culture as on Gram stain. Nevertheless, if the Gram stain and culture results were not similar, it was termed a discrepancy. The consultant microbiologist reviewed all discrepant slides, and if not resolved, possible causes of error were sought, and the results documented.&#x0D; Results: Of the total 300 clinical specimens, errors were observed in the initial gram staining of 29 specimens (9.7%), whereas 271(90.3%) specimens were error-free. Upon evaluating these 29 errors, 11(38.0%) were observer errors which were resolved when reviewed by a consultant microbiologist. 14(48.0%) were technical errors, and 4(14.0%) results were discrepant due to the presence of anaerobic organisms, missed on initial aerobic cultures.&#x0D; Conclusion: The frequency of Gram stain errors in our study (9.7%) is not very high; nevertheless, it can have severe consequences in critical samples from seriously ill patients if wrong empirical antimicrobial treatment is begun based on a wrong initial Gram stain result.

Radiological evaluation of patellofemoral instability and possible causes of assessment errors.

Patellofemoral instability (PI) is the disruption of the patella’s relationship with the trochlear groove as a result of abnormal movement of the patella. To identify the presence of PI, conventional radiographs (anteroposterior, lateral, and axial or skyline views), magnetic resonance imaging, and computed tomography are used. In this study, we examined four main instability factors: Trochlear dysplasia, patella alta, tibial tuberosity–trochlear groove distance, and patellar tilt. We also briefly review some of the other assessment methods used in the quantitative and qualitative assessment of the patellofemoral joint, such as patellar size and shape, lateral trochlear inclination, trochlear depth, trochlear angle, and sulcus angle, in cases of PI. In addition, we reviewed the evaluation of coronal alignment, femoral anteversion, and tibial torsion. Possible causes of error that can be made when evaluating these factors are examined. PI is a multi-factorial problem. Many problems affecting bone structure and muscles morphologically and functionally can cause this condition. It is necessary to understand normal anatomy and biomechanics to make more accurate radiological measurements and to identify causes. Knowing the possible causes of measurement errors that may occur during radiological measurements and avoiding these pitfalls can provide a more reliable road map for treatment. This determines whether the disease will be treated medically and with rehabilitation or surgery without causing further complications.

A Multi-Frequency DQ Impedance Measurement Algorithm for Single-Phase Vehicle-Grid System in Electrified Railways

Dq impedance measurement is of great importance as a part of the impedance-based analysis. At present, impedance of objects in single-phase vehicle-grid system are mainly obtained by injecting the voltage or current disturbance of one single frequency into the system circularly. However, as the number of measurement frequency points increases, there will produce much time-consuming of measurement. In this paper, a quick dq impedance measurement algorithm for single-phase vehicle-grid system based on multi-frequency sweep is proposed. First, pseudo-random binary sequences (PRBS) and ternary sequences are modified as the driving signals rather than directly injecting into the control link. Then three types of disturbance with specific frequency characteristics are introduced into the system and their parameters setting principle are given for the first time. According to the different characteristics of measurement objects, the proposed algorithms are also different to ensure the maximum specificity and sensitivity. Finally, for different objects in vehicle-grid system like traction network, single-phase converter and dual-interleaved converter, simulation and experimental results based on the hardware in the loop real-time simulation platform both show the correctness of the proposed algorithm, and the possible causes of errors are also analyzed in detail. Moreover, the proposed algorithm makes it possible to quickly measure the dq impedance of the single-phase vehicle-grid system, and the correctness of the theoretical and measured value can be judged and used for the stability analysis of electrical systems.

U&lt;SUP align="right"&gt;2&lt;/SUP&gt; Net-Plus and background removal-based PIFu-HD: human body reconstruction in complex background

At present, algorithms for human motion capture and 3D human reconstruction are not perfect in some experiment, such as PIFu-HD. In addition, there are some reconstruction errors in practical application. We believe that there is background interference. In this paper, we provide the same action in different backgrounds for PIFu-HD model. We endow a single RSU block of U2 Net with multi-receptive field mechanism, and use it for dataset of salient object detection (SOD), achieving a significant improvement in accuracy. Then we do the comparative experiment which provides an opportunity of analysing the possible causes of errors in existing algorithms. Thus we propose a new method, a background removal based PIFu-HD. In the end, we use well-constructed dance images and videos for relevant modelling and comparison. We also present the well-constructed dataset and a formulated standard for Cha-Cha, which is of great importance to model-training.

Partial electrode method for loss and physical parameter determination of piezoceramics: Simplification, error investigation and applicability

The IEEE standard to determine physical parameters of piezoceramics has been utilized for decades by many researchers, yet it omits presence of important loss factors and possesses serious deficits that restrict accurate parameter determination. To resolve these issues, the partial electrode (PE) method was previously proposed, though the focus has been merely made on development of the method itself. In this study, we provide method simplification and more detailed analysis. The omission of unnecessary samples greatly boosts experiment and analysis process. To prove that the PE method is reliable, possible causes of errors were investigated; it is shown that they were either negligibly small or can be resolved with proper calibration. Furthermore, Applicability of PE method to various types of piezoceramic materials and compatibility with impedance analyzers are shown. Finally, PE method is proved to be reliable and can be alternative to IEEE Standard on Piezoelectricity.

Detection of Concentration Inhomogeneity of Carbon Nanotubes in Polyethylene by Spectral-Correlation Method

It is shown that the concentration of single-walled carbon nanotubes in polyethylene can be estimated using a spectral-correlation method, which consists of statistical processing of random intensity distributions (speckles) formed by scattering on optical inhomogeneity of the material. The optimal conditions for performing measurements are established, possible causes of errors are determined, and the statistical errors of measurements are estimated. Based on experimental data, expressions are obtained for approximating the dependence of the nanotube concentration on the half-width of the normalized cross-correlation function of the intensity distributions of backscattered radiation at different wavelengths. The possibility of using extrapolation of calibration dependencies for two different physical models (linear and exponential) is considered and the expediency of using a linear model at nanotube concentration above 2% is shown. The concentration of nanotubes in one of the elements of the high-voltage coupling design is evaluated and the possibility of detecting inhomogeneity of the filler concentration in the material is demonstrated.

AN ERROR ANALYSIS ON SUBJECT-VERB AGREEMENT IN CONSTRUCTING SIMPLE PRESENT TENSE MADE BY THE SECOND SEMESTER STUDENTS OF LAW FACULTY

This research was aimed to find out the subject-verb agreement error made by the second semester students of Law Faculty UNIKA Santo Thomas. From the findings, 27% of the instruments answered by the students were identified error. There were 4 kinds of error made by the students in constructing subject-verb agreement. They were omission error, addition error, misformation error, and misordering error. In omission error, there were 26 errors occurred. In addition error, there were 5 errors occurred. In misformation error, there were 54 errors occurred. In misordering error, there was 1 error occurred. Among all of the errors that had been identified, misformation error was the most dominan error faced by the students. Based on the analysis, the possible cause of error was because of the students did not understand well about the construction of the simple present tense mastery. Although only 27% instrument was identified error, it was considered that the students’ lack of knowledge in structure could give serious impact to their writing. It was suggested that the students need to enrich their knowledge at least in the mastery of the simple present tense, specially in the construction of subject-verb agreement. In other hand, the faculty need to make extra class for the English subject to give the students more chance to enhance their English knowledge. This would support the vision of UNIKA Santo Thomas in achieving International Level University.

Error Analysis and Process Parameter Optimization of Impeller Model Manufactured by FDM Process

Through the process of making impeller model by Fused Deposition Modeling (FDM), the error of 3D printing forming process was analyzed, including principle error, forming error and post-processing error. The error caused by measurement is analyzed, and the causes of the error and the solving methods are expounded in detail. By analyzing the errors in the size of impeller models, the possible causes of errors can be analyzed. Combining the forming conditions and the actual situation, the optimization method of process parameters is analyzed, which can provide a certain reference for 3D printing production and testing the best process parameters.

Automatic and Manual Fracture-Lineament Identification on Digital Surface Models as Methods for Collecting Fracture Data on Outcrops: Case Study on Fractured Granite Outcrops, Bangka

Three-dimensional outcrop models, or Digital Surface Models (DSMs), have proved their capacity in many geoscience studies. Along with the advantage in the rapid acquisition, DSMs are capable of creating virtual models of fractured outcrops to be interpreted for further analysis. This paper reports the DSM robustness by comparing the result of fracture-lineament measurement using DSMs and discusses the possible causes of error that might occur. The first method applied in this study is the scanline method to collect fracture data directly from outcrops, measuring more than 1,400 fracture data. The second method is applying fully automatic and manual fracture identification by optimizing hill-shaded DSMs. Two well-exposed granite outcrops in Bangka, Indonesia, are designed for the pilot area. Structure-from-Motion (SfM) photogrammetry is utilized to generate the DSMs, where a series of aerial images are captured using Unmanned Aerial Vehicle (UAV). The images are then processed into hill-shaded DSMs to be automatically analyzed following the algorithm in PCI Geomatics software and manually assessed. The textures of DSMs are also used in fracture identification through RGB filtering as the third method. The results show that the semiautomatic measurement using RGB-filtering texture has the closest pattern to the scanline data compared to the hill-shaded DSM method. The differences rely on several conditions, such as the geometry and texture of the outcrops. Eventually, methods of fracture identification using DSM are expected to be capable as options in preliminary fracture data collecting on outcrops, especially when the scanline is unable to be performed.

Impact of skin effect of hydrogen charging on the Choo-Lee plot for cylindrical samples

The study of influence of the skin effect, which occurs when charging metal samples with hydrogen, on the thermal desorption spectra (TDS) is carried out. The main goal of the study was to identify the causes of possible errors in determining the binding energies of hydrogen. The effects arising at different rates of the increase TDS temperature are investigated. The study was carried out analytically and numerically by means of FEM modeling. The standard Fick model is taken for modeling the hydrogen transport model in order to gain a simple explanation of the effects. The skin effect was found to lead to appearance of an extra peak on the TDS. Deciphering the TDS using the Choo-Lee plot results in dependence of the activation energy or hydrogen binding energy calculated by the Kissenger formula on the range of temperature rates in which the TDS experiment was performed.

Diagnostic Accuracy of Intraoperative Frozen Sections in the Diagnosis of Central Nervous System Lesions: A Hospital-Based Study

Introduction: Intraoperative frozen section (FS) is an important tool in the management of neoplastic and non-neoplastic central nervous system (CNS) lesions. Although the final pathological diagnosis is based on the findings in paraffin tissue sessions, interpreting FS of CNS lesion is to assist the neurosurgeon in making the accurate judgment regarding the nature of the lesion and tissue adequacy. This study was to evaluate the agreement between FS and paraffin sections (PS) results; and to highlight the possible causes of error in discrepancy between FS and PS. Materials &amp; Methods: This is a retrospective study of 85 cases of FS. H&amp;E stained sections of both FS and PS of all these cases were reviewed with their histopathological reports. FS and PS results were compared. Possible causes of errors were reviewed and recorded. Results: Out of 85 cases; 76 cases (89.4%) showed no discrepancy, 2 cases (2.4%) minor discrepancy and 7 cases (8.2%) discrepancy. Sensitivity and specificity of FS were 90.1% and 85.7% respectively. Positive predictive value was 97.0% and negative predictive value was 63.1%. The false positive rate was 14.2% and false negative rate was 36.8%. The overall accuracy of FS was 89.4%. Conclusion: Our results showed high accuracy and specificity of FS. Therefore, FS is still useful, an effective tool for neurosurgeon although there are some challenges for histopathologists in reporting FS. The commonest discrepancy was seen between reactive gliosis and low-grade glioma. Over-diagnosis or under-diagnosis of FS can be reduced by closed cooperation among pathologist, neurosurgeon and radiologist.

Solution enthalpy calculation for impurity in liquid metal by first-principles calculations: A benchmark test for oxygen impurity in liquid sodium.

The solution enthalpy of oxygen in liquid Na was calculated as a test case for the computational method to evaluate the solution enthalpy in liquid metal using first-principles calculations. To obtain the necessary thermodynamic quantities at high temperatures, (i) first-principles molecular dynamics for pure and O-including liquid Na systems, (ii) vibration analysis for an O2 molecule, and (iii) phonon-based quasi-harmonic approximation for solid Na and Na2O were conducted. The calculation results were compared with available experimental data to validate the method. Consequently, the O2 solution enthalpy was calculated to be -387.1 kJ/mol at 600 K and -374.0 kJ/mol at 1000 K, comparable to the experimental data of -375.7 kJ/mol at 600 K and -369.3 kJ/mol at 1000 K. The Na2O solution enthalpy was calculated to be 28.6 kJ/mol at 600 K and 38.2 kJ/mol at 1000 K, while the experimental data gave a temperature-independent value of 46.9 kJ/mol. The possible causes of errors in the calculations were discussed. This work shows that computational calculations can contribute to establishing a fundamental database on the solubility of impurities in liquid metals.

A causal flow approach for the evaluation of global climate models

AbstractGlobal climate models (GCMs) are generally used to forecast weather, understand the present climate, and project climate change. Their reliability usually rests on their capability to represent climatic processes, and most evaluations directly measure the spatiotemporal agreement of scalar climate variables. However, climate naturally involves complex interactions that are hard to infer and, therefore, difficult to evaluate. Climate networks (CNs) have been used to infer flows of mass and energy in the complex climate system. Here, an Evaluation of Models by Causal Flows (EMCaF) is proposed. EMCaF focuses on the assessment of properties about mass and energy flows in the CNs derived from GCMs. First, causal CNs are inferred from GCMs, and then the capabilities to reproduce characteristic transfer flows are assessed with reference models. A more in‐depth feature is the possibility to assess how climate change disturbs CNs properties. In addition to the quantitative difference between modelled and observed values taken into account in standard evaluations, the EMCaF approach aims to assess the weaknesses and strengths of GCMs to represent climate mechanisms and processes that couple different components of the climate system. The comparison of models through this approach allows having complimentary feedback on model evaluations to understand possible causes of errors and enable a judgement based on processes. The approach is illustrated by evaluating one GCM and subsequently assessing changes of its CNs under future climate projections. Results show that known climatic patterns are assimilated and that causal strength patterns are likely to agree with the wind magnitude as a transfer factor. Significative issues are then explored, showing the capabilities of the approach and allowing understand fundamental structures in transport flows, compare their properties, and assess changes in the future. Different alternatives and considerations in each step of the approach are discussed to expand its applicability.

Clinical Practice Use of Liquid Biopsy to Identify RAS/BRAF Mutations in Patients with Metastatic Colorectal Cancer (mCRC): A Single Institution Experience.

Tumor heterogeneity represents a possible cause of error in detecting predictive genetic alterations on tumor tissue and can be overcome by testing alterations in circulating tumor DNA (ctDNA) using liquid biopsy. We assessed 72 consecutive patients with a diagnosis of metastatic colorectal cancer (mCRC) using Idylla™ Biocartis, a fully automated platform that evaluates the most frequent mutations of KRAS, NRAS and BRAF genes. We correlated the results of liquid biopsy and standard tissue-based next generation sequencing (NGS) analyses to patient clinical features. The overall agreement was 81.94%. Concordance was 85.71% and 96.15% in treatment-naïve patients and in the patient subgroup with liver metastases, respectively. In liver metastases positive, treatment-naïve patients, sensitivity, specificity and positive predictive value (PPV) were 92.31%, 100% and 100%, respectively. Circulating mutational fraction (CMF) was significantly higher in patients with liver metastases and high carcinoembryonic antigen (CEA) levels. In a subgroup of patients pre-treated with anti-Epidermal Growth Factor Receptor (EGFR) agents, emerging KRAS mutations were evidenced in 33% of cases. Testing RAS/BRAF mutations on plasma using the Idylla™ Biocartis platform is feasible and reliable in mCRC patients in clinical practice.

ПРОПОЗИЦИОНАЛЬНЫЙ ПОДХОД ПРИ АНАЛИЗЕ ДЕНОТАТИВНОЙ СТРУКТУРЫ ВТОРИЧНЫХ ТЕКСТОВ (НА МАТЕРИАЛЕ ПЕРЕСКАЗОВ ТЕКСТА И. А. БУНИНА «РОМАН ГОРБУНА»)

The article substantiates the relevance of the propositional approach to analysing the denotative structure of secondary texts as products of a reader’s interpretational activity. Stage-by-stage organization of the study has allowed the authors to identify the denotations of the original and secondary texts and to discover inter-denotational relations. The research findings are as follows: the authors have developed propositional models of the original and secondary texts, modelled global propositions, concluded on the propositional content of secondary texts and identified possible causes of errors when interpreting the main event of a text.