Recorded Test Results Research Articles

Enhancing Financial Technology Operations: A Comprehensive Evaluation Using COBIT 2019 Framework

This research aims to enhance information technology (IT) governance in a financial technology company by focusing on peer-to-peer lending services. The main challenges faced by the company involve a lack of system design details, leading to post-implementation imperfections and negative impacts on business process performance, including unnecessary delays and adjustments. The lack of transparency in system evaluation is also a hindrance caused by incomplete recording of test results. Therefore, this research aims to address these challenges by utilizing the COBIT 2019 framework. The study employs a qualitative approach, utilizing data obtained through interviews and literature studies supported by the COBIT Tool Kit. The analysis is conducted on three main objectives: security management, solution identification, and IT change management, to identify disparities between the current status and desired targets. The analysis results highlight the need for improvements in specific aspects, including the lack of system design details, more precise information in the change process, and deficiencies in recording test results. Recommendations for improvement involve the development of more detailed guidelines for system design, enhanced documentation of changes, and improvements in testing instructions and result reporting. Additionally, recommendations focus on enhancing capabilities through proactive evaluation, refining security plans, developing more adaptive solution acquisition strategies, and improving testing practices. Thus, this research underscores the importance of strategic improvements within the IT and Information Systems governance framework to shape a more effective and transparent operational environment in Financial Technology companies.

Tingkat Pencapaian Mahasiswa Melalui Isomorfik Tipe B Pada Topik Satuan

This research is a pre-experimental research conducted to find out the subject knowledge abilities of PGSD FIP UNM Campus VI Bone students who are programming the Elementary Science Basic Concepts course in the even semester of the 2021/2022 academic year on the topic of Units through a type B isomorphic test. The birth of a profile/picture the ability of subject knowledge of PGSD FIP UNM Campus VI Bone students who are programming the Elementary Science Basic Concepts course in the even semester of the 2021/2022 academic year on the topic of Units through the type B isomorphic test is the target to be achieved. To achieve this target, the researcher explored the subject knowledge abilities of the students who were the target subjects by giving a type B isomorphic test. The test was in the form of a written test. The research subjects were PGSD FIP UNM Campus VI Bone students who were programming the Science Basic Concepts Course in the Even Semester of the 2021/2022 Academic Year. Data collection is done by recording test results. The analysis technique uses descriptive analysis. The results showed that students (respondents) who scored in the "very good" category were 25 or 96.2% of people with details of the score, namely: 7 or 26.9% scored 90, 15 or 57.7% scored 85, and 3 or 11.5% get a score of 80. The rest, namely one person or 3.8% get the "good" category. Furthermore, the minimum score obtained by students is 75 (good category), the maximum score is 90 (very good category), the average student score is 85.38 (very good category) with a standard deviation of 3.721. Conclusion: the description of students' subject knowledge abilities on the topic of Units through the type B isomorphic test is that the average ability is in the "very good" category, the range is 75, the minimum score is 75 and the maximum value is 90, the variance is 13,846, and the standard deviation is 3.721 or 4.358% of the average which indicates that the data deviation is less than 5%. That is, the deviation rate of student grade data in this study is very small or negligible.

Validation of UK Biobank data for mental health outcomes: A pilot study using secondary care electronic health records

UK Biobank (UKB) is widely employed to investigate mental health disorders and related exposures; however, its applicability and relevance in a clinical setting and the assumptions required have not been sufficiently and systematically investigated. Here, we present the first validation study using secondary care mental health data with linkage to UKB from Oxford - Clinical Record Interactive Search (CRIS) focusing on comparison of demographic information, diagnostic outcome, medication record and cognitive test results, with missing data and the implied bias from both resources depicted.We applied a natural language processing model to extract information embedded in unstructured text from clinical notes and attachments. Using a contingency table we compared the demographic information recorded in UKB and CRIS. We calculated the positive predictive value (PPV, proportion of true positives cases detected) for mental health diagnosis and relevant medication.Amongst the cohort of 854 subjects, PPVs for any mental health diagnosis for dementia, depression, bipolar disorder and schizophrenia were 41.6%, and were 59.5%, 12.5%, 50.0% and 52.6%, respectively. Self-reported medication records in UKB had general PPV of 47.0%, with the prevalence of frequently prescribed medicines to each typical mental health disorder considerably different from the information provided by CRIS.UKB is highly multimodal, but with limited follow-up records, whereas CRIS offers a longitudinal high-resolution clinical picture with more than ten years of observations. The linkage of both datasets will reduce the self-report bias and synergistically augment diverse modalities into a unified resource to facilitate more robust research in mental health.

Outpatient portal use in prenatal care: differential use by race, risk, and area social determinants of health.

To report the relationship of outpatient portal (OPP) use with clinical risk, area social determinants of health (SDoH), and race/ethnicity among pregnant women. Regression models predicting overall and individual portal feature use (main effects and interactions) based on key variables were specified using log files and clinical data. Overall OPP use among non-Hispanic Black women or patients who lived in lower SDoH neighborhoods were significantly less. High-risk pregnancy patients were likely to use the OPP more than those with normal-risk pregnancy. We found similar associations with individual OPP features, like Visit (scheduling) and My Record (test results). We also found significant interactive associations between race/ethnicity, clinical risk, and SDoH. Non-Hispanic Black women and those living in lower SDoH areas used OPP less than non-Hispanic White women from similar or affluent areas. More research must be conducted to learn of OPP use implications for pregnant women with specific clinical diagnoses.

A Multi-agent Feature Selection and Hybrid Classification Model for Parkinson's Disease Diagnosis

Parkinson's disease (PD) diagnostics includes numerous analyses related to the neurological, physical, and psychical status of the patient. Medical teams analyze multiple symptoms and patient history considering verified genetic influences. The proposed method investigates the voice symptoms of this disease. The voice files are processed, and the feature extraction is conducted. Several machine learning techniques are used to recognize Parkinson's and healthy patients. This study focuses on examining PD diagnosis through voice data features. A new multi-agent feature filter (MAFT) algorithm is proposed to select the best features from the voice dataset. The MAFT algorithm is designed to select a set of features to improve the overall performance of prediction models and prevent over-fitting possibly due to extreme reduction to the features. Moreover, this algorithm aims to reduce the complexity of the prediction, accelerate the training phase, and build a robust training model. Ten different machine learning methods are then integrated with the MAFT algorithm to form a powerful voice-based PD diagnosis model. Recorded test results of the PD prediction model using the actual and filtered features yielded 86.38% and 86.67% accuracies on average, respectively. With the aid of the MAFT feature selection, the test results are improved by 3.2% considering the hybrid model (HM) and 3.1% considering the Naïve Bayesian and random forest. Subsequently, an HM, which comprises a binary convolutional neural network and three feature selection algorithms (namely, genetic algorithm, Adam optimizer, and mini-batch gradient descent), is proposed to improve the classification accuracy of the PD. The results reveal that PD achieves an overall accuracy of 93.7%. The HM is integrated with the MAFT, and the combination realizes an overall accuracy of 96.9%. These results demonstrate that the combination of the MAFT algorithm and the HM model significantly enhances the PD diagnosis outcomes.

Application of the DIC Technique to Remote Control of the Hydraulic Load System

Displacements or deformations of materials or structures are measured with linear variable differential transducers (LVDT), fibre optic sensors, laser sensors, and confocal sensor systems, while strains are measured with electro-resistant tensometers or wire strain gauges. Measurements significantly limited to a point or a small area are the obvious disadvantage of these measurements. Such disadvantages are eliminated by performing measurements with optical techniques, such as digital image correlation (DIC) or electronic speckle pattern interferometry (ESPI). Many devices applied to optical measurements only record test results and do not cooperate with the system that exerts and controls load. This paper describes the procedure for preparing a test stand involving the Digital Image Correlation system ARAMIS 6M for remote-controlled loading. The existing hydraulic power pack (ZWICK-ROELL) was adapted by installing the modern NI cRIO-9022 controller operating under its own software developed within the LABVIEW system. The application of the DIC techniques to directly control load on the real structure is the unquestionable innovation of the described solution. This led to the elimination of errors caused by the test stand susceptibility and more precise relations between load and displacements/strains which have not been possible using the previous solutions. This project is a synergistic and successful combination of civil engineering, computer science, automatic control engineering and electrical engineering that provides a new solution class. The prepared stand was tested using two two-span, statically non-determinable reinforced concrete beams loaded under different conditions (force or displacement). The method of load application was demonstrated to affect the redistribution of bending moments. The conducted tests confirmed the suitability of the applied technique for the remote controlling and recording of test results. Regardless of the load control method (with force or displacement), convergent results were obtained for the redistribution of bending moments. Force-controlled rotation of the beam section over the support was over 50% greater than rotation of the second beam controlled with an increase in the displacement.

Review and recommendations for structural testing of buried gravity storm drain pipes and culverts

Buried pipes are important components of the underground infrastructure. Structural failure of these pipes is costly, socially and environmentally disruptive. To prevent such incidents, a deep understanding of the soil–pipe interaction system behavior is needed. Currently, two common standard methods are available for the structural testing of pipes: parallel-plate loading test and three-edge bearing test, in which the effects of surrounding soil and distributed load on the pipe sample are ignored. However, in the available design methodologies the effect of bedding and load distribution is considered though empirical factors. As of today, there is no standard test method available for structural testing of pipes considering the effect of soil–pipe interaction system. Therefore, the objectives of this paper are to present a literature review of full-scale structural testing methods of relatively large diameter gravity pipes ranging from 36 in (90 cm) and larger, and suggest a general soil–pipe test procedure for structural evaluation of large diameter gravity pipes, such as culverts. Discussions are made for selection of a soil–pipe structural testing condition, loading method, loading rate, loading configurations, and required instrumentations for capturing and recording test results.

Inferring the as-built air permeability of new UK dwellings

PurposeCompulsory airtightness testing was introduced for new dwellings in England and Wales in 2006 and in Scotland in 2010 to ensure that they are constructed according to design air permeability targets. These targets are set to limit heat loss through air infiltration. Previous work examining the large Air Tightness Testing and Measurement Association (ATTMA) data set of UK airtightness test data suggested that, in a proportion of dwellings, the targets were being met by post-completion sealing as opposed to airtight construction, but did not quantify the prevalence of this practice. The paper aims to discuss this issue.Design/methodology/approachIn this paper, the distribution of as-built airtightness and the proportion of dwellings undergoing post-completion sealing are estimated from the ATTMA data set covering 2015–2016. This is carried out by Bayesian statistical modelling, using the data set of recorded test results and a modelled representation of the testing process.FindingsThis analysis finds the mode of the as-built distribution of air permeability as 4.38 ± 0.01 m3/m2h. It predicts that 39 per cent of dwellings aiming for one of the five most common design targets have sealing interventions at the point of pressure testing to meet their target. The as-built distribution of the ATTMA data is compared to airtightness test data obtained from just before compulsory testing was introduced, showing an improvement in the modal air permeability of 3.6 m3/m2h since testing became mandatory.Originality/valueThis paper has investigated the available data beyond simply what is reported, to estimate what the real levels of airtightness in the UK new build stock may be.

Platinum thermometer failure estimation based on dynamic linear models

The observation of a technical system condition is closely related to the estimation of its reliability. Theoretical analyses are very often not sufficient, and due to time pressure we are usually made to use accelerated reliability tests. In our article we present the results of an accelerated reliability test performed by the platinum thermal sensor Pt-100. Within the scope of the accelerated test we tested the equivalent of ten-year system operation using the Pt-100. Due to the length and the specific format of the test it was possible to record several failures occurring in the set of the observed/tested Pt-100 sensors. The recorded test results were further analysed and processed applying a time-series analysis. We apply modern and nontrivial dynamic linear models (DLM) based on back propagation recursors. The achieved results using the test and data analysis have not been known yet for the Pt-100 type.

Penerapan Sistem Kendali XY-Stage dan Modulasi Laser Pada Tomografi Fotoakustik Menggunakan Arduino

Photoacoustic tomography is a system of utilization of the photoacoustic effect is used to obtain image-processing with high resolution and contrast. The purpose of studies is to design a mechanics xy-stage and implement control systems in laser modulation. The system design consists of designing hardware and software. Hardware design includes the design of optical devices and the design of electronic devices using the Arduino microcontroller. Software design using Arduino IDE, Audacity and Matlab. Recording test results showed that the photoacoustic signal peaks on the recording with the samples was higher than the recording unsampled. Based on the test mileage xy-stage mechanical movement using a type of bipolar stepper motor Nema 17, earned mileage (4.046 ± 0.005) mm for the motor movement for one revolution and it takes 25 steps to obtain the distance as far (0.50 ± 0.05) mm used on scanning process. Image-processing has been able to show the results of the image corresponding to the scanning area, the process is carried out on the object-imaging soft tissues such as the pancreas with cell tumor tissue.

Power Quality Improvement in Three-phase Telecommunication Power Supply System

This article proposes power quality improvement in a three-phase AC mains-fed telecommunication power supply by using an improved power quality converter. Conventional telecommunication tower power supplies suffer from power quality problems, such as high input current harmonic distortion, low power factor, and voltage distortions at the utility interface. To mitigate these problems, modern AC-DC converters with power factor correction circuits are used at the utility interface. An integrated boost converter is used as a power factor corrector with an isolated DC-DC converter at the load end to form the proposed telecommunication power supply. The power factor correction converter mitigates the harmonic contents of the AC mains current and improves the power factor, whereas the isolated converter provides regulated load voltage and isolation. Voltage control is used for regulating the DC voltage of the isolated converter, while the power factor correction integrated boost converter employs a current control loop to shape input current to sinusoidal in-phase with voltage. The design, modeling, and simulation results are presented to demonstrate the effectiveness of the power supply at various AC mains voltages and loads. A prototype of the front-end converter is developed, and recorded test results are presented here to validate the simulated performance.

Normalised adaptive linear element‐based control of single‐phase self excited induction generator feeding fluctuating loads

In this study, a new normalised adaline-based control algorithm is proposed to control voltage source converter (VSC) used for voltage control and harmonics mitigation of two-winding asymmetric single-phase self excited induction generator (SEIG) feeding fluctuating linear and non-linear loads. The proposed control algorithm is implemented on a digital signal processor (DSP). In the proposed SEIG system, a two-winding asymmetric single-phase SEIG is driven by a speed governor controlled diesel/biogas engine. The VSC is used for adjustable fundamental reactive current compensation of a two-winding single-phase SEIG for voltage control, and harmonics elimination of variety of loads. An insulated gate bipolar transistor-based two-leg VSC is connected at the point of common coupling. The proposed new control algorithm has many distinct advantages such as fast response which is highly desirable for fluctuating loads and fast convergence at all frequency components. The mathematical formulation of the proposed control algorithm is given and recorded test results of the SEIG system are presented to demonstrate the voltage control, harmonics mitigation and fast response of the algorithm. The proposed controller of single-phase SEIG system is designed, developed and implemented on a DSP to validate the claims. A MATLAB simulation model of SEIG system with proposed controller is also developed and simulated results are presented along with the test results to validate the model developed.

ELISA Kit for Peanut Protein Determination: Collaborative Study

A collaborative study in 10 laboratories was performed to validate an ELISA method developed for the quantitative determination of peanut protein in foods. The ELISA kit used for this study is based on rabbit polyclonal antibody. This kit does not produce any false-positive results or cross-reactivity with a broad range of peanut-free food matrixes. All participants obtained the peanut ELISA kit with standard operational procedures, a list of samples, the samples, and a protocol for recording test results. The study included 15 food samples. Three food matrix samples of zero peanut content showed peanut protein content lower than the first standard (0.10 mg/kg). Three samples with peanut declared as an ingredient revealed peanut protein content outside the calibration curve (absorbance was above the highest standard) in all laboratories, and three samples had the peanut content reported either above the highest standard or within the calibration curve, depending on the laboratory. Six samples with peanut declared as an ingredient gave the peanut protein content within the calibration curve. Only these six samples, together with a positive control sample (CS2), were used for statistical evaluation. The statistical tests (Cochran, Grubbs, and Mandel) and analysis of variance were used for the evaluation of the collaborative study results. Repeatability and reproducibility limits, as well as an LOQ (LOQcollaborative 0.22 mg peanut proteins/kg) and an LOD (LODcollaborative 0.07 mg peanut proteinslkg) for the kit were calculated.

Use of point‐of‐care testing for plasma therapy

Use of point-of-care testing (POCT) has been driven by limitations of laboratory-based testing as a tool for decisions for transfusions of blood components. Clinical settings such as liver transplantation, cardiothoracic surgery, and trauma are particularly in need of such diagnostic tests because of the complex coagulopathies that can develop in these settings of substantial hemorrhage and need for blood component support. Successful implementation of POCT requires collaboration between surgery, anesthesia, critical care, and the laboratory to ensure proper quality control of equipment, operator training and competency, medical records test results, billing procedures, and consensus-derived transfusion algorithms for cost-effective, targeted blood component transfusion support. In this review we summarize clinical evidence for the effectiveness of POCT, along with some future directions for this strategy.

Maternal Dietary Intake and Subsequent Allergy Development

M O N D A Y 653 Prenatal Exposure to Nut Allergens and Risk of Childhood Nut Sensitization J. T. Hsu, S. A. Missmer, M. C. Young, K. F. Berry, F. J. Twarog, I. Borras, M. D. Hornstein, L. C. Schneider; Children’s Hospital Boston, Boston, MA, Brigham and Women’s Hospital, Boston, MA. RATIONALE: Allergic diseases have increased four-fold in the last ten years. Prenatal exposures, including maternal diet and medications, may account for some of this increase. In the US, progesterone for fetal support in assisted reproduction is commonly formulated in peanut or sesame oil; it is unknown whether this increases the child’s risk of peanut or tree nut allergy. METHODS: Parents of children seen in theAllergy Program at Children’s Hospital Boston and two affiliated practices between May 2005 and October 2009 completed questionnaires on reproductive methods, prenatal exposures, and child’s dietary and allergic history. 1272 completed questionnaires were returned. Child’s medical record, allergy skin-prick, and blood test results were reviewed. Odds ratios (OR) and 95% confidence intervals (CI) are from adjusted logistic regression models. RESULTS: There was no increased risk of peanut or tree nut sensitization in the children of mothers with history of infertility, in vitro fertilization, or use of progesterone-in-oil. First trimester maternal consumption of tree nutswas associatedwith a 60%higher odds of having a nut-sensitized child (95%CI51.012.51). A similarly increased odds was seen with first trimester maternal sesame seed ingestion (OR51.78; 95%CI51.08-2.92). The odds of nut sensitization were twice as high among children with asthma and environmental allergies. CONCLUSIONS: Neither maternal infertility nor exposure to nut oils via progesterone support during assisted reproduction increased the odds of peanut or tree nut sensitization in the child. First trimester maternal ingestion of tree nuts and sesame seeds during pregnancy was associated with increased odds of nut sensitization in the child.

ELISA Kit for Mustard Protein Determination: Interlaboratory Study

An interlaboratory study in 12 laboratories was performed to prove the validation of the ELISA method developed for the quantitative determination of mustard protein in foods. The ELISA kit used for this study is based on rabbit polyclonal antibody. This kit did not produce any false-positive results or cross-reactivity with in-house validation for a broad range of food matrixes with no detectable mustard protein. All participants obtained the Mustard ELISA kit with standard operational procedures, a list of samples, samples, and a protocol for recording test results. The study included 15 food samples and two spiked samples. Seven food matrix samples of zero mustard content and four samples with mustard declared as an ingredient showed mustard protein content lower than that of the first standard (0.42 mg/kg). Four samples with mustard declared as an ingredient revealed mustard protein content above 12.5 mg/kg (the highest standard). The statistical tests (Cochran, Dixon, and Mandel) and analysis of variance were used to evaluate the interlaboratory study results. Repeatability and reproducibility limits, as well as an LOQ (1.8 mg mustard proteins/kg) and LOD (0.5 mg mustard proteins/kg), for the kit were calculated.

ELISA Kit for Determination of Egg White Proteins: Interlaboratory Study

An interlaboratory study was conducted in 11 laboratories to validate an ELISA method developed for the quantitative determination of egg white proteins (EWPs) in foods. The ELISA kit used for this study is based on sheep polyclonal antibody. It does not produce any false-positive results or cross-reactivity in a broad food matrix range with zero EWP content. All participants obtained the Egg ELISA Kit-native with standard operational procedure and the list of samples, as well as the samples and a protocol for recording test results. The study included 10 food samples. Four samples of food matrix with zero EWP content showed EWP content lower than the first standard (EWP content 0.5 mg/kg). One sample of food matrix with zero EWP content revealed EWP content higher than standard 3 (1.5 mg EWP/kg). Five food samples containing EWP as an ingredient tested positive and one negative. The statistical tests (Cochran, Dixon, and Mandel) and analysis of variance were used to evaluate the interlaboratory study results. Repeatability and reproducibility limits, as well as LOQ (1.4 mg EWP/kg) and LOD (0.43 mg EWP/kg), were calculated for the kit.

Enzyme-Linked Immunosorbent Assay Kit for Beta-Lactoglobulin Determination: Interlaboratory Study

An interlaboratory study was performed in six laboratories to prove the validation of the ELISA method developed for quantitative determination of beta-lactoglobulin (BLG) in foods. The ELISA kit used for this study is based on rabbit polyclonal antibody. In-house validation of the kit did not produce false-positive results or cross-reactivity in a broad range of food matrixes containing no milk proteins. All participants obtained the BLG kit with a standard operational procedure, the list of the samples, samples, and a protocol for recording test results. The study included 14 food samples (extruded breakfast cereals, bread, two soy desserts, butter, chicken ham, chicken meat, wheat flour, long grain rice, jelly, two whey drinks, crackers, and bitter chocolate) and six spiked samples (two rice, two wheat flour, and two chicken meat). Nine samples of food matrixes containing no milk proteins showed BLG content lower than the first standard (0.15 mg/kg). Two samples of food matrixes with no milk proteins revealed BLG content higher than standard 3 (1.5 mg/100 g) and standard 4 (5.0 mg/100 g). Three food samples containing milk were tested as positive, and all spiked samples were evaluated as positive. The statistical tests (Cochran, Dixon, and Mandel) and analysis of variance were used to evaluate the interlaboratory study results. Repeatability and reproducibility limits, as well as LOQ (0.22 mg BLG/kg) and LOD (0.07 mg BLG/kg), for the kit were calculated.

Major Vascular Injury During Anterior Lumbar Spinal Surgery

Retrospective chart review. To examine the incidence of major vascular injury during anterior lumbar spinal surgery, attempt to identify predisposing risk factors, and to discuss management techniques. Major vascular injury can be a catastrophic complication of anterior lumbar spinal surgery. Current procedural terminology codes were used to identify the occurrence of major vascular injury, defined as injury to the iliac vessels, vena cava, and aorta. Once identified, the office record, hospital chart, operative note, and diagnostic test results were reviewed in detail. Three hundred forty-five operations were performed on 338 patients. Incidence of major vascular complication was 2.9% (10 of 345). There were 9 injuries of the common iliac vein and a single aortic injury. Risk factors identified in patients with major vascular injury were current or previous osteomyelitis or discogenic infection (n = 3), previous anterior spinal surgery (n = 2), spondylolisthesis (n = 2; 1 isthmic Grade II, 1 iatrogenic Grade II), large anterior osteophyte (n = 2), transitional lumbosacral vertebra (n = 1), and anterior migration of interbody device (n = 1). Lateral venorrhaphy by suture (n = 6) and hemoclip application (n = 2) was augmented by topical agents, which constituted the sole method of repair on 1 occasion. Magnetic resonance venography demonstrated iliac vein thrombosis in 1 patient. Current or previous osteomyelitis or discogenic infection, previous anterior spinal surgery, spondylolisthesis, osteophyte formation, transitional lumbosacral vertebra and anterior migration of interbody device point to an increased risk of vascular injury during anterior lumbar spinal surgery. Careful handling of the vascular structures and liberal use of topical hemostatic agents can lead to control of hemorrhage and preservation of vascular patency. Routine postoperative surveillance for proximal deep vein thrombosis, by magnetic resonance venography of the pelvic veins and inferior vena cava, should be performed after venorrhaphy.

Gluten Determination by Gliadin Enzyme-Linked Immunosorbent Assay Kit: Interlaboratory Study

An interlaboratory study with 10 participants was performed to obtain validation and performance data for an enzyme-linked immunosorbent assay (ELISA) kit developed for quantitative gluten determination in foods. The ELISA kit used for this study is based on 2 monoclonal and 1 polyclonal antibody developed by Immunotech, a Beckman Coulter Co. This kit did not show any false positive results or cross-reactivity with oat, rice, maize, and buckwheat. The gliadin standard from the Working Group on Prolamin Analysis and Toxicity was included in the kit as reference material for calibration. All participants obtained a gliadin ELISA kit with Standard Operational Procedure and a form for recording test results. The study included 13 samples labeled as "gluten-free" and 2 samples spiked by wheat flour. Seven samples had gliadin content below the limit of quantitation (LOQ) of the method, and 1 sample exceeded the highest calibration level. Gliadin content in the range from 10 to 157 mg/kg (1st day) and from 11 to 183 mg/kg (2nd day) was found in 7 samples (including 2 spiked samples). Results of these samples were used for further statistical analysis and evaluation. The Cochran, Dixon, and Mandel statistical tests were applied for detection of outliers. The LOQ of the kit was estimated.