Application Of Test Research Articles

B-232 One Year Post-Implementation Experience Using a Custom Designed DNA Contamination Detection Module for a Clinical Myeloid Neoplasm Next Generation Sequencing Assay

Abstract Background In complex automated clinical laboratory Next Generation Sequencing (NGS) workflows, numerous opportunities exist for contamination events to occur. For oncology testing applications, detection of these events is crucial for accurate results reporting. A contamination detection module (MICon) using microhaplotype (MH) regions and an in-house designed analysis model was developed for use in a NGS assay for myeloid neoplasms (NGSHM) [1]. Variant detection for NGSHM has a validated analytical sensitivity of 2% variant allele frequency (VAF). Gross contamination events can potentially cause erroneous false positive variant detection whereas true low VAF mutations may be masked and evade detection. The following study was performed to evaluate MICon module performance on samples processed over the course of a year. Methods MH regions contain highly conserved tandem single nucleotide polymorphisms (SNPs) with high global heterogeneity occurring within a 300-nucleotide span. From the work of Kidd et al [2], 27 MH regions covering 92 SNPs and spanning 16 chromosomes were selected for inclusion in the 47 gene NGSHM target-capture panel. Sequencing was performed on a NovaSeq 6000 and analyzed through an internal bioinformatics pipeline, which incorporates the MICon module. MICon uses a binary classification model incorporating VAFs from MH regions, number of MH genotypes, and the contamination estimation score from verifyBamID to compute a single value on a 0-100 scale. Scores <50 are classified as non-contaminated and scores ≥50 require further investigation. Results The dataset was comprised of 10,990 samples. A total of 10,232 patient cases (93.1%) had non-contaminated MICon scores <50. Control replicates accounted for 261 samples (2.4%). There were 497 patient cases (4.5%) with MICon scores ≥50. Of the 497 patient cases, 137 (27.6%) had undergone hematopoietic stem cell transplantation (HSCT) and 114 (22.9%) contained gross chromosomal abnormalities, representing iatrogenic or tumor biological factors. An additional 135 (27.2%) of cases were contaminated from laboratory processing errors, 45 (9.1%) occurred due to chemistry failures during run processing, and 66 (13.2%) had an undetermined cause for a high score, representing laboratory-related and unknown factors. Overall, the 135 laboratory processing errors detected accounted for 1.3% of patient cases analyzed by the laboratory. These cases were repeated, and the non-contaminated results were accurately reported. Conclusions Herein it was shown the implementation of MICon has improved patient safety over the course of a year. The 1.3% of patient cases identified as arising from laboratory processing errors were successfully reprocessed. While the overall rate of laboratory processing errors appears low, the absolute number can be significant in a high-volume test setting, despite reliance on highly automated processes. Value is added by MICon through identifying errors that could result in the release of inaccurate patient results. By detecting previously unrealized errors, MICon has become an invaluable asset to the NGSHM assay by enhancing patient laboratory testing safety.

SY19-1 Clinical application of genome profiling test for hematological malignancies

SY19-1 Clinical application of genome profiling test for hematological malignancies

Advancements in Organ‐on‐a‐Chip Systems: Materials, Characterization, and Applications

AbstractRecent advancements in 3D tissue engineering and organ‐on‐a‐chip systems have revolutionized biomedical research by providing sophisticated platforms that mimic complex physiological environments. This review explores various techniques in 3D printing, including bioprinting materials, laser‐induced forward transfer, ink‐jet systems, and microextrusion methods, highlighting their roles in fabricating intricate tissue constructs. Physical and biochemical characterization methods for assessing these engineered tissues on microchips are discussed in detail, emphasizing their importance in accurately replicating physiological conditions. The review further delves into the development of multiple organ and single organ‐on‐a‐chip systems. It covers two‐organ, three‐organ, and four‐organ platforms, as well as individual systems such as pancreas‐on‐a‐chip, kidney‐on‐a‐chip, liver‐on‐a‐chip, lung‐on‐a‐chip, blood–brain barrier‐on‐a‐chip, heart‐on‐a‐chip, breast cancer‐on‐a‐chip, gut‐on‐a‐chip, and blood vessels‐on‐a‐chip. Each section addresses the unique challenges and advancements associated with these models, providing insights into their potential applications in drug testing, disease modelling, and personalized medicine. In conclusion, the article discusses current challenges and offers perspectives on future directions in 3D tissue engineering and organ‐on‐a‐chip technology, highlighting the transformative impact of these systems on biomedical research and healthcare.

Application of dynamic loop resistance test in the development process of 220kV new type fast switch

Application of dynamic loop resistance test in the development process of 220kV new type fast switch

Molecular Markers in Follicular and Oncocytic Thyroid Carcinomas: Clinical Application of Molecular Genetic Testing.

Oncocytic thyroid carcinoma (OTC) was previously considered a variant of follicular thyroid carcinoma (FTC) but has recently been reclassified as a separate form of thyroid cancer. This study aimed to demonstrate that FTC and OTC are fundamentally distinct entities that can potentially be differentiated preoperatively through cytology and/or molecular testing. A retrospective chart review of patients diagnosed with FTC and OTC operated upon at two university health centers from January 2016 to September 2023 (n = 3219) was conducted. Molecular testing results were correlated with histopathologic diagnosis. Fifty patients met the inclusion criteria. FTC was identified in 27 (54.0%) patients, and OTC in 23 (46.0%) patients. Patients with OTC were older (61.8 years) than FTC patients (51.2 years) (p = 0.013). Moreover, aggressive tumors were found in 39.1% (9/23) of OTCs compared to 11.1% (3/27) of FTCs (p = 0.021). Amongst Bethesda category III and IV nodules, 17 out of 20 (85.0%) OTC cytology reports demonstrated an oncocytic subtype compared to only 5 out of 24 FTC cytology reports (20.8%) (p = 0.002). On molecular testing, the EIF1AX alteration was exclusively present in OTCs while the PAX8/PPARy and PTEN alterations were exclusively found in FTCs. Copy number alterations (CNAs) were found to be more prevalent in OTC (66.7%) compared to FTC (33.3%), and they were not indicative of tumor aggressiveness. Within the OTC group, all three patients who had a TP53 alteration were diagnosed with aggressive cancer. Lastly, the OTCs exhibited a higher frequency of multiple alterations on molecular testing (66.7%) compared to FTCs (33.3%). To our knowledge, this is the largest study to date comparing the clinical application of abnormalities found on molecular testing for FTC and OTC. It further demonstrates the distinct clinicopathological and molecular characteristics of OTC.

Quelles avancées dans la prise en charge du carcinome anaplasique de la thyroïde en 2024 ?

LATEST DEVELOPMENTS IN ANAPLASTIC THYROID CARCINOMA MANAGEMENT IN 2024: Anaplastic thyroid carcinomas (ATCs) represent a rare and undifferentiated form of thyroid cancer with a poor prognosis, typically marked by a median overall survival of four to ten months. However, recent advances have shown improvements due to the more systematic application of molecular testing, targeted therapies, and immunotherapy, alongside the establishment of rapid specialized care protocols in expert centers. Clinically, ATCs often present as a rapidly enlarging cervical mass originating from the thyroid, causing neck, pain and tenderness, dyspnea and dys-phagia, and associated lymphadenopathy, typically in elderly patients. Diagnostic confirmation requires an urgent biopsy, reviewed by a pathologist within the TUTHYREF-path network, with a mandatory search for BRAFV600E molecular alterations. Following diagnosis, care coordination is expedited within an expert center of the ENDOCAN-TUTHYREF network whenever feasible. Initial surgery is rarely an option due to frequent loco-regional cervical invasion. A multimodal treatment approach is essential: BRAF/MEK inhibitors (dabrafenib/trametinib) in cases of BRAFV600E mutation, or chemotherapy in the absence of a molecular target, combined with radiotherapy and, potentially, surgery if the disease becomes resectable following induction therapy. PD-1/PD-L1 targeted immunotherapy, either alone or in combination with targeted therapies, has shown potential to extend survival in some patients; however, predictive biomarkers and the optimal sequencing of immunotherapy (whether as induction and/or maintenance) require further clarification and may vary depending on the clinical context.

Liquid crystal gel-based acetone sensor using correlated laser speckles

Acetone, a common volatile organic compound (VOC), poses health risks even at low concentrations. Current acetone sensors are costly and require specialized equipment and expertise. This work develops a novel vapor sensor for determining acetone vapor concentration using the speckle patterns generated by liquid crystal gels (LCGs). The vapor sensor comprises a LCG film prepared by the phase separation of a mixture containing polystyrene microspheres and liquid crystals (LCs). The orientation of the LC molecules changes when the LCG film is exposed to an acetone vapor environment, altering the equivalent refractive indices of the LC domains. This leads to a change in the scattering state of the LCG film under laser illumination, forming different speckle patterns. The concentration of acetone vapor is determined by calculating the correlation coefficient of the speckle images, where the sensitivity and limit of detection of the sensor are 4×10-4 ppm-1 and 754.05 ppm, respectively. The developed correlated laser speckle-based optical system is simpler, less expensive, and more stable than traditional LC film vapor sensors. This acetone gas sensor has potential applications in industrial and indoor air quality testing.

Application of metal additive testing and thermal conductivity technology in optimizing product appearance design in intelligent manufacturing industry

Metal additive manufacturing technology has the advantages of rapid manufacturing and personalized production, but due to the complexity of the manufacturing process and differences in material characteristics, products made with metal additives often have appearance defects and process performance issues. Therefore, the purpose of this study is to explore the application of metal additive detection technology in product appearance design and process performance optimization. This study proposes a comprehensive detection and optimization method that utilizes non-destructive testing techniques to comprehensively inspect metal components. By identifying and locating these issues, the quality status of the components can be accurately understood. Based on the test results, a series of appropriate optimization measures have been taken to improve the appearance and process performance of the product, adjust process parameters, improve the forming quality and surface smoothness of the components, thereby achieving better appearance effects. Metal additive testing technology can effectively detect and locate appearance defects in products, and by optimizing process parameters and material selection, it can significantly improve the appearance quality and process performance of products, providing support for improving the reliability and production efficiency of industrial manufacturing.

A pilot study on individual and contextual factors influencing teachers’ digitalisation process

The process of school digitalisation has been on the rise in recent years, but the relationship between technology and teachers has had a strong acceleration during the global pandemic due to the coronavirus disease 2019. 198 teachers from primary to high school fill a questionnaire about demographic variables (age, gender, education level, school level in which they teach and years of seniority at work), perceptions of using some digital tools and specific platforms before and during the pandemic (after the first lockdown), self-esteem, self-efficacy, cognitive flexibility, and burnout perceptions. A non-parametric analysis was first conducted with the application of the Wilcoxon test for paired measures. Subsequently, a MANOVA was applied to verify any differences between teachers belonging to different school levels and having different levels of seniority. According to literature we found that self-efficacy, self-esteem, cognitive flexibility, burnout and service seniority are influential factors for teachers’ perceived digitalisation level.

A portable dual-mode colorimetric and fluorescence sensing platform for RGB detection in liquid solutions

The color of liquids is crucial in food safety, pharmaceuticals, cosmetics, and environmental monitoring. Traditional color measurement methods typically require expensive spectrophotometers, limiting their utility in rapid testing and cost-effective applications. This study developed a cost-effective, portable dual-mode colorimetric and fluorescence sensing platform with using the TCS230 sensor and STM32F103ZET6 microcontroller for real-time RGB color detection. Equipped with built-in white and ultraviolet light sources, the platform operates reliably across different environmental conditions, aided by its darkroom design and white balance calibration strategy to minimize ambient light interference. Tests with fluorescent and dye solutions show stability and reliability of the platform. The relationship between color saturation and concentration under different concentrations showed the excellent correlation coefficients above 0.99 for CuSO4 and KMnO4 solutions. The measurement deviations of 1.93% to 3.41%, render it an efficient tool for on-site and multiple-mode color testing.

LSTM Recurrent Neural Network Based Method for Identification of PDC Drill Bit Operating Conditions and Its Application

Abstract PDC drill bit underground operating conditions identification is one of of the difficulties during the drilling operation. It is of great significant for the drilling improvement and accurate construction formation to accurately identify the complex operating conditions during drilling the operation such as PDC bit wearing and stick-slip vibration, etc. In this paper, data of relationship between torque, rate of penetration (ROP) signal and weight on bit (WOB), rev were obtained through lab simulation experiment, after which, a relationship database of torque, ROP signal and WOB, rev was established, a single-layer LSTM recurrent neural network (LSTM-RNN) was constructed, the number of neurons, batch size and optimizer type of LSTM layer were optimized. With BPTT algorithm, LSTM model was trained and tested on the training set containing 6000 groups of data, and achieved the goal of identifying the bit operation conditions against the input of WOB, torque, rev and ROP signal parameters. Based on this model, the PDC bit underground operating conditions identification software was compiled, and was connected to the logging unit to realize real-time identification of bit underground operating conditions, and field test application was successfully carried out in Mahu 1 Well Region. The research showed that the convergence speed was fast and the time cost was at the lowest when the number of neurons of LSTM model was 50, and that the optimized Adam optimizer model could meet the requirements of convergence speed and prediction accuracy with the lowest loss value. The classification accuracy of this model on the test set reached 94% and the accuracy of the prediction method was also verified by field test application. To sum up, the method of LSTM-RNN based PDC bit underground operating conditions real-time identification can better meet the requirements of accurate identification of PDC bit underground operating conditions in the practical drilling, and has guiding significance for the judgement of PDC bit operating conditions on site and formulation of scientific construction decisions.

Development and Validation of a Comprehensive English Test for Sophomore Students in Liaoning, China

The English proficiency of Chinese college students varies in different regions and majors. For college students, it’s of great importance to know their strengths and weaknesses in the process of language learning and to have targeted practice . For language teachers, it is quite significant to identify the problems and needs of students in English learning, to adjust the teaching methods and contents and to improve the teaching effect. At the same time, the feedback of the test results can also promote the school’s attention to and investment i n English teaching and promote the in depth reform of English teaching. In this procedure, a comprehensive English test is an effective way. This study describes developing and validating a comprehensive English test for sophomore students at Shenyang Univ ersity of Chemistry and Technology in Liaoning, China. The test is designed to assess students' English proficiency upon completing the "New Century College English Reading" course. The research employed a mixed methods approach, combining qualitative meth ods for test development and expert review with quantitative methods for statistical validation. The test development process included content analysis of course materials, creation of test specifications aligned with course objectives, and item writi ng. T he test covers four key language domains: listening, reading, translation, and writing. Validation is conducted through expert r eview using a content, construct, and face validity checklist. Five experienced English language teaching and assessment experts evaluated the test using a 15 item checklist with a 5 point Likert scale. Results showed high overall validity, with mean scores above 4.0 for content validity, construct validity, and face validity, indicating strong agreement among experts on the test' s validation. While the study provides strong evidence for the test's validity, limitations include the sample size and geographic scope. Future research directions include longitudinal studies to assess predictive validity and cross regional validation to evaluate the test's applicability across China's educational contexts. This study contributes to English language assessment in Chines e higher education in Liaoning province. It provides a validated tool that aligns closely with curriculum objectives and a ddresses the need for comprehensive language proficiency evaluation.

Performance analysis of web application client layer development tools us-ing Angular, React and Vue as examples

The article presents a comparative analysis of tools for developing the client layer of web applications. The tools chosen for it were Angular 17.1.0, React 18.2.0 and Vue 3.3.4. The research process was carried out using the “Benchmark” test application, implemented with each technology. It was prepared as a performance tester, implementing tests consisting of operations that manipulate a table of data, in order to measure their execution time. The results of the performed tests became the basis for further analysis. As a result of the study, Angular became the most efficient tool in the largest number of tests. Slightly lower performance was observed with Vue, and the least efficient application turned out to be the one prepared with React.

Performance comparison of working with a database in Spring Boot version 3.2.3 and Laravel version 8.83.27

The subject of the article is the analysis of the efficiency of working with a database of applications created using programming frameworks: Spring Boot version 3.2.3 and Laravel version 8.83.27. Test applications were prepared in the REST API architecture, which examined the time efficiency of CRUD operations on the original database. Project structure and performance of test applications were compared. After analyzing the obtained results, it was found that in all scenarios, Spring Boot performed data operations on average 12 times faster.

Examination of the performance and scalability of a web application in a reactive and imperative approach using the Spring Framework

The purpose of this paper was to test the performance and scalability of a web application written in reactive and imperative approaches using the Spring Framework, in order to understand the differences between these approaches and choose the technology that best meets the requirements and provides optimal performance. Two test applications were compared in terms of query processing times and CPU/RAM usage. The effect of Api Gateway microservices on application performance was analyzed. The tests showed that the reactive application processed I/O operations faster, used less RAM but more CPU. The imperative approach was faster for transactional operations performed sequentially. The reactive variant reacted with less latency to the presence of Api Gateway than the imperative approach.

Analysis of colostral antibodies to herpesvirus 1 and 5 in Murrah buffalo calves

Familiar agriculture is predominant in the production of milk buffaloes in São Paulo southwest, Brazil. The production of buffaloes’ milk is sold almost exclusively to cheese production inside and out São Paulo State. This search was done in a proprerty located in Alambari, São Paulo, specialized in the production of Murrah buffaloes, with 21 animals, born between March and May in the year 2017. Blood was collected at 24 to 48 h from the birth, every 15 days and at the completetion of weaning (91 days of age). The samples were collected in vaccum tubes of 10 mL with coagulum activator, by a puncture of the jugular vein. With the application of the virus neutralization tests, we could see 90.47% reagent animals for BoHV-5 and or BoHV-1 in the first two days of life. The geometric medium titles (GMT) of antibodies reduced significantly from the time 0 (1.4563) to the time 6 (05721) (P=0.0001), showing adequate transference of passive immunity through the ingestion of colostrum by buffalo calves, with the persistence of antibodies until 3 months old. Considering that most buffalo calves were reagents after sucking the colostrum, it is possible to conclude that there is a great occurrence of BoHV-5 and or BoHV-1 once there is a crossed reaction among these and the cattle with no historic of vaccination for the agents.

Comparison of performance of Xamarin and Flutter cross-platform frameworks

This article conducts a performance comparative study of two cross-platform development frameworks: Flutter and Xamarin. For this purpose, two test applications running on Android were developed, implementing the same functions, i.e. CRUD operations on the database and sorting an array of objects by the Merge Sort algorithm. Tests were performed on an emulator and on a physical device. The sorted arrays had different sizes, and database operations were performed for different sizes of data sets. The metric used for comparisons was the average implementation time of a given operation. The analysis of the research results showed that Xamarin was definitely more efficient in three CRUD operations, while Flutter performed computational operations, which in this case was sorting, much faster.

Non-destructive ultrasonic testing for identifying concealed weapons and analyzing internal chemical substances

The management of unknown weapons obtained from warfare, military operations, and terrorist situations requires a series of nondestructive testing processes. This management process, which is aimed at collecting information on the nature of the weapons, encompasses identification, processing, transportation, and storage of the obtained weapons. A lack of identification marks in acquired ammunition may indicate the potential presence of a chemical weapon. Therefore, nondestructive evaluation methods have been employed to identify unknown weapons. However, these methods rely on neutron- and radiation-based analyses, which require radiation-handling experts and specific protective facilities. Consequently, their application in this field is challenging. Herein, a nondestructive ultrasonic testing method, which can identify substances inside unknown weapons and optimize the verifiability of the state of the ammunition, was employed as an alternative method to overcome these limitations. The experimental system enabled quantitative and qualitative analyses of the internal chemicals by analyzing the time difference in acquiring the signals, particularly when the results indicate that the internal substance is a liquid. The results of this study can serve as a basis for advancing the application of ultrasonic testing as a viable and efficient approach for managing unknown weapons.

Material Design and Performance Study of a Porous Sound-Absorbing Sound Barrier

A new type of porous sound-absorbing sound barrier was developed with quartz sand and self-developed polysiloxane resin. The forming process of the material was studied. The test specimens of the porous sound-absorbing sound barrier were prepared with different mesh numbers of quartz sand and different proportions of resin, and the void properties, compressive strength, durability, and acoustic performance were investigated. Based on the mix design results, it is suggested that 20-mesh quartz sand and a 10:1 mass ratio of quartz sand are used to prepare the porous sound-absorbing sound barrier. The durability study showed that the porous sound-absorbing sound-barrier material had good salt and alkali resistance, poor acid resistance, good water stability, and freeze–thaw stability. The laboratory acoustic test and practical engineering application results showed that the porous sound-absorbing sound barrier had excellent acoustic performance and good noise-reduction effects.

Development of hazard prediction test and interventions for two-wheeled electric vehicle riders in China

Objective This paper aimed to develop a hazard prediction test and enhance two-wheeled electric vehicle (TWEV) riders’ hazard perception and prediction capabilities via interventions by executing two distinct studies. Study 1 aimed to develop and validate a hazard prediction test. Study 2 evaluated the efficacy of two interventions, self-commentary and what happens next (WHN), integrating expert commentary. Method For Study 1, a video-based hazard prediction test was developed through video recording and clipping, with participants categorized into high and low prediction ability groups for experimentation. Data analysis employed the receiver operating characteristic (ROC) curve. Study 2 categorized participants into four groups: self-commentary with licenses (SCL), self-commentary without licenses (SCNL), WHN with licenses (WHNL), and WHN without licenses (WHNNL), for conducting a one-week intervention experiment. Data collected from participants’ pre-intervention, post-intervention, and aftereffect tests were subjected to repeated measures analysis of variance (ANOVA). Results Analysis of the ROC curve indicated the test can distinguish the riders with different hazard prediction levels. ANOVA results demonstrated that the measurement time had a significant positive effect on scores (p < 0.001). Both interventions significantly improved hazard prediction ability (p < 0.05), and the effect persisted one week after administration. The effect of the WHN intervention was significantly greater than the self-commentary method across all time points. Conclusion The hazard prediction test developed in this study could assess riders’ hazard prediction ability, with the identified interventions demonstrating effectiveness in enhancing this ability. These findings suggested potential application in future qualification tests for TWEV riders, contributing to enhanced traffic safety awareness among TWEV riders in China, thus advancing overall traffic safety.