Test Methods Research Articles

Feasibility Study on the Construction of Underground Reservoirs in Coal Goaf—A Case Study from Buertai Coal Mine, China

The construction of underground reservoirs in coal goaf is a new technology aimed to realize the sustainable development of coal mining-water storage-surface ecology in arid areas of northwest China. The key to the feasibility of this technology is that underground coal mining cannot affect the near-surface aquifer, and the amount of water entering the underground reservoir must meet the needs of the coal mine. Taking Buertai Coal Mine, one of the largest underground coal mines in the world, as an example, this article used similar simulation, numerical simulation and in-situ test methods to study the height of the water-conducting fracture zone of overlying strata and water inflow of underground reservoirs. The results show that, under the repeated mining of the 22- and 42-coal seams, the maximum height of the water-conducting fracture zone is 178 m, and the distance between the near-surface aquifer and the 42 coal is about 240 m, so the mining has little effect on the near-surface aquifer. During the mining period of the 22-coal seam, the groundwater of the Zhidan and Zhiluo Formations was mainly discharged vertically, while the groundwater of the Yanan Formation was mainly a horizontal flow during the period of the 42-coal mining. In this way, the total water inflow of Buertai Coal Mine reaches 500 m3/h, which not only meets the needs of the mine, but also, the rest of the water can irrigate about 98 hectares of farmland nearby. Underground reservoirs in coal goaf could achieve sustainable development of coal mining, groundwater storage and surface ecology in semi-arid areas.

State-of-the-Art Review of Microcapsule Self-Repairing Concrete: Principles, Applications, Test Methods, Prospects

Cement-based materials are widely used in construction worldwide, but they are vulnerable to environmental stressors and thermal fluctuations, leading to the formation of internal cracks that compromise structural integrity and durability. Traditional repair methods such as surface coatings, grouting, and groove filling are often costly and labor-intensive. In response, self-repairing technologies for cement-based materials have emerged as an innovative and promising solution, offering the potential to significantly extend the lifespan of structures and reduce maintenance costs. A particularly novel approach is the development of microcapsule-based self-repairing concrete. In this system, repair agents are encapsulated within microcapsules and combined with curing agents in the concrete matrix. When cracks form, the microcapsules rupture, releasing the repair agents to autonomously heal the damage. This self-repairing mechanism is characterized by its high efficiency, durability, environmental sustainability, and versatility, making it a promising alternative to traditional repair methods. Recent research has focused on the development of microcapsules with various core materials, such as TDI (toluene diisocyanate), IPDI (isophorone diisocyanate), or epoxy resin, as well as composite shell materials including paraffin wax, PE (polyethylene) wax, nano-SiO2, and nano-CaCO3. A novel advancement in this area involves the enhancement of microcapsules through the incorporation of magnetic nanomaterials into the shell, providing new possibilities for self-repairing systems that address cracks in cement-based materials.

A practical comparative investigation of Bruceton and 3POD2.0 statistical testing methods on friction and impact sensitivity testing

ABSTRACT There are multiple different equipment and testing methods to perform sensitivity tests and to determine probabilities and stimulus values for sensitivity of energetic materials. In this study a Bruceton and Three-Phase Optimal Design (3POD2.0), implemented in gonogo software, statistical testing methods were compared in practice by using them to determine impact and friction sensitivity of selected energetic materials. With Bruceton method 50% of the impact sensitivity and 27% of the friction sensitivity test series had to be discarded, due to too high or low s/d ratio. With 3POD2.0 0% of impact and 18% of friction test series had to be discarded, due to an error produced by the gonogo software. The number of individual tests that had to be discarded was much lower with 3POD2.0, since the gonogo software terminates the test process at early phase, while with Bruceton the test series most often must be finished before the validity of results can be assessed. Based on these results and literary reviews it can be concluded that 3POD2.0 is a suitable replacement for Bruceton to determine 50% initiation probability, while additionally gaining the entire sensitivity curve, resulting in fewer futile tests and less wasted resources.

Factors affecting the decision to use chatbots in e-banking services of GenZ customers in Vietnam

This article aims to measure and identify the factors influencing the decision to use Chatbot in e-banking services for GenZ customers in Vietnam through 292 customers. Testing methods: Cronbach’s Alpha trust factor, EFA discovery factor analysis, and regression analysis have shown that 07 factors directly affect GenZ’s decision to use Chatbot. Those factors include (1) Customer attitude; (2) Useful perception; (3) Perception of ease of use; (4) Behavioral control perception; (5) Risk perception; (6) Subjective norms and (7) Trust. On that basis, the article has set out management implications for Vietnamese commercial banks to approach and increase the decision of customers aged 18–24 years in Vietnam.

Angiotensin II Type-1 Receptor Antibody in Solid Organ Transplantation – Is It Time to Test?

Angiotensin II type-1 receptor antibody (AT1R-Ab) has been mooted as a potential effector of both acute and chronic antibody mediated rejection (AMR). A growing body of literature on the topic is now coming under scrutiny in the context of the evolving Banff AMR diagnostic classification system and refinement of recommendations for histocompatibility testing by the Sensitization in Transplantation Assessment of Risk (STAR) workgroup. This mini-review discusses the latest understanding of pathophysiological mechanisms, clinical evidence for the pathogenicity of AT1R-Ab, and methods of laboratory testing.

Comparison of molecular testing methods for diagnosing non-tuberculous mycobacterial infections

Comparison of molecular testing methods for diagnosing non-tuberculous mycobacterial infections

Optical Genome Mapping (OGM) Identifies Multiple Structural Variants in a Case With Atypical Phelan‐McDermid Syndrome

ABSTRACTHere we describe a neonate exhibiting hypotonia, macrocephaly, renal cysts, and respiratory failure requiring tracheostomy and ventilator support. Genetic analysis via rapid genome sequencing (rGS) identified a loss on chromosome 4 encompassing polycystin‐2 (PKD2) and a loss on chromosome 22 encompassing SH3 and Multiple Ankyrin Repeat Domains 3 (SHANK3), indicative of Phelan‐McDermid syndrome. Further analysis via traditional karyotyping, Optical Genome Mapping (OGM), and PacBio long‐read sequencing revealed a more complex landscape of chromosomal rearrangements in this individual, including a balanced 3;12 translocation, and an unbalanced 17;22 translocation. The proband's phenotypic presentation is thought to be the result of Phelan‐McDermid syndrome and represents an expansion of the described phenotypes to include significant respiratory failure. This study underscores the challenges and importance of comprehensive genetic testing in elucidating complex presentations and highlights the need for complementary testing methods to overcome limitations in resolution.

Evaluating small-scale eucalyptus growers’ experience of the EVO mobile application: a comparative analysis of quantitative and qualitative assessment techniques

ABSTRACT Mobile applications (apps) have become widely available as decision support tools in agriculture and forestry worldwide. Owing to the above-mentioned development trend, identifying testing methods that can be easily implemented for evaluating mobile app development targeting rural livelihood-related topics is urgently required. This study examined user experiences with a previously launched and published mobile app (EVO) that small-scale eucalyptus growers can utilize to estimate their gross income and net profit from timber sales. The survey incorporated three user experience assessment methods. The study involved two rounds of data collection regarding the mobile app: the first round concerned version 1.0, whereas the second round referred to version 2.0. The aim was to identify the user experience of the EVO app for guiding further software development to improve its suitability among potential user groups, as well as to estimate the feasibility and usability of survey methods for evaluating mobile apps among smallholders and related stakeholders. The results indicated a remarkable improvement in user satisfaction between the two rounds. Using a combination of system usability scale, user acceptance testing, and quality questions is recommended for collecting valuable and useful feedback for the development of mobile apps.

Uplift of genetic diagnosis of rare respiratory disease using airway epithelium transcriptome analysis

Abstract Rare genetic respiratory disease has an incidence rate of more than 1:2500 live births in Northern Europe and carries significant disease burden. Early diagnosis improves outcomes, but many individuals remain without a confident genetic diagnosis. Improved and expanded molecular testing methods are required to improve genetic diagnosis rates and thereby improve clinical outcomes. Using primary ciliary dyskinesia (PCD) as an exemplar rare genetic respiratory disease, we developed a standardized method to identify pathogenic variants using whole transcriptome RNA-sequencing (RNA-seq) of nasal epithelial cells cultured at air-liquid interface (ALI). The method was optimized using cells from healthy volunteers, and people with rhino-pulmonary disease but no diagnostic indication of PCD. We validated the method using nasal epithelial cells from PCD patients with known genetic cause. We then assessed the ability of RNA-seq to identify pathogenic variants and the disease mechanism in PCD likely patients but in whom DNA genetic testing was inconclusive. The majority of 49 targeted PCD genes were optimally identified in RNA-seq data from nasal epithelial cells grown for 21 days at ALI culture. Four PCD-likely patients without a previous genetic diagnosis received a confirmed genetic diagnosis from the findings of the RNA-seq data. We demonstrate the clinical potential of RNA-seq of nasal epithelial cells to identify variants in individuals with genetically unsolved PCD. This uplifted genetic diagnosis should improve genetic counselling, enables family cascade screening, opens the door to potential personalised treatment and care approaches. This methodology could be implemented in other rare lung diseases such as cystic fibrosis.

Bayesian accuracy estimates for diagnostic tests to detect tuberculosis in captive sun bears (Helarctos malayanus) and Asiatic black bears (Ursus thibetanus) in Cambodia and Vietnam

Effective control of tuberculosis (TB) depends on early diagnosis of disease, yet available tests are unable to perfectly detect infected individuals. In novel hosts diagnostic testing methods for TB are extrapolated from other species, with unknown accuracy. The primary challenge to evaluating the accuracy of TB tests is the lack of a perfect reference test. Here we use a Bayesian latent class analysis approach to evaluate five tests available for ante-mortem detection of pulmonary TB in captive sun bears and Asiatic black bears in Southeast Asia. Using retrospective results from screening of 344 bears at three rescue centres, we estimate accuracy parameters for thoracic radiography, a serological assay (DPP VetTB), and three microbiological tests (microscopy, PCR (Xpert MTB/RIF, Xpert MTB/RIF Ultra), mycobacterial culture) performed on bronchoalveolar lavage samples. While confirming the high specificities (≥ 0.99) of the three microbiological tests, our model demonstrated their sub-optimal sensitivities (<0.7). Thoracic radiography was the only diagnostic method with sensitivity (0.95, 95% BCI: 0.76, 0.998) and specificity (0.95, 95% BCI: 0.91, 0.98) estimated above 0.9. We recommend caution when interpreting DPP VetTB results, with the increased sensitivity resulting from treatment of weakly visible reactions as positive accompanied by a drop in specificity, and we illustrate how the diagnostic value of weak DPP VetTB reactions is particularly reduced if disease prevalence and/or clinical suspicion is low. Conversely, the reduced utility of negative microbiological tests on bronchoalveolar lavage fluid samples when prevalence and/or clinical suspicion is high is demonstrated. Taken together our results suggest multiple tests should be applied and accompanied by consideration of the testing context, to minimise the consequences of misclassification of disease status of bears at risk of TB in sanctuary settings.

Pediatric masks of obstructive sleep apnea syndrome

A number of factors contribute to the occurrence of chronic otolaryngological diseases in children at an early age, which often acquire a long, undulating course with exacerbations, relapses and complications. The increasing aggressiveness of environmental factors, the growth of allergization of the population, the formation of strains of microorganisms resistant to the action of medicines, lead to a steady increase in diseases of the nasopharyngeal tonsils and a worsening of their course, especially among children, both in our country and abroad. At the same time, the adenotonsillar problem has long gone beyond ENT pathology and attracts the attention of a wide range of medical resea. The aim of the work: to analyze the literature data on clinical manifestations, laboratory and instrumental diagnostic methods and the prevalence of OSA in children. The analysis of publications using PubMed, EMBASE and Web of Science search engines in the period from January 1970 to March 2024 related to research on epidemiological, pathogenetic, clinical and laboratory aspects of OSA in children and adults was carried out. rchers. Sleep respiratory disorder is a term covering various clinical diagnoses from primary snoring to obstructive sleep apnea. This clinical symptom is registered in at least one in nine children, which makes it one of the most frequently diagnosed sleep disorders and puts it in the category of serious social problems. The most compelling evidence relates to hyperactivity, inattention, and social problems: decreased social competence, increased problematic behavior, and decreased memory scores. Despite the growing body of evidence suggesting cognitive impairment in children with snoring, many results have been contradictory. The availability of pediatric sleep laboratories, even in countries with advanced health systems, is limited, which encourages the search for less complex and more convenient testing methods. Timely detection of the development of the disease allows you to prevent complications and improve the quality of life. The article also describes clinical cases of late diagnosis of obstructive sleep apnea in children.

Image processing and artificial neural network based determination of surface mean texture depth on lab-controlled chip seal pavement samples

AbstractBecause surface texture is nearly the sole indicator of pavement functional properties and highly correlated with critical operational characteristics of roadways like traffic noise and safety, the change in pavement surface texture because of traffic loadings and environment has to be evaluated routinely. There are numerous direct or indirect evaluation techniques in the market. However, most of these methods have some limitations like requiring lane closure or being expensive. In this study, a 2D image processing method was established to estimate the surface mean texture depth (MTD) of chip sealed pavements. We produced chip sealed pavement samples in the laboratory with different aggregate type, shape, and size ranging between 2 and 19 mm to cover wide range of live conditions. Two well-known conventional test methods, Sand Patch (SP) and Hydrotimer (HT), were used to determine MTDs of chip seal samples. Subsequently numerous photos were taken on surface of the samples with a camera for 2-D image processing that was done based on surface void ratio (SVR) approach. With the image processing, SVR of all samples were determined. At the point of whether there is a relationship or not, correlation analysis was made between the MTDs obtained with SP and HT and the data obtained by SVR approach with the artificial neural network method. The results show that the proposed SVR approach construed on 2D image processing method can be a reliable alternative to evaluate the surface texture of pavements.

Complexity Evaluation for Urban Intersection Scenarios in Autonomous Driving Tests: Method and Validation

As autonomous driving technology scales up, complex urban intersections pose significant safety challenges. Current testing methods struggle to simulate these complex scenarios at a manageable cost, making simulation testing essential. For effective evaluation, establishing comprehensive and objective complexity metrics is crucial. However, existing complexity evaluation methods often depend on the performance of the primary vehicle and are based on local interaction relationships, which lack a global perspective and objectivity and have yet to be validated by autonomous driving systems. To address this issue, this paper proposes a multidimensional complexity assessment framework that introduces system-level indicators such as vehicle count, interaction density, disorder, and risk. This framework quantifies the complex interactions at intersections from a global perspective, independent of primary vehicle performance. Experimental results demonstrate that the complexity evaluation results are highly consistent with the performance of a high-level autonomous driving system (Apollo). The framework has been successfully applied to test scenario generation on the Apollo platform, achieving twice the scenario generation efficiency of traditional methods, thus showcasing substantial engineering value.

Application of thermodynamic equilibrium modelling to predict slagging and fouling tendencies of bituminous coal and wheat straw blends

The combustion or co-combustion of biomass or alternative fuels is important in the energy sector because of the need to reduce the share of fossil fuels. This article is a continuation of previous studies on the behaviour of the mineral matter of selected fuels during the sintering processes. The blends of wheat straw biomass from Polish crops (WS) with bituminous coal from the Makoszowa mine (BC) were studied. The study included proximate and ultimate analysis and oxide analysis of ash blends with the following composition: 10wt% WS/90wt%BC, 25wt% WS/75wt%BC and 50wt% WS/50wt%BC. Based on the oxide content, a prediction (using FactSage 8.0 software) of the sintering process of the mixtures tested. The following parameters were determined: slag phase content, specific heat at constant pressure, and ash density. The fracture stresses tests were carried out using the mechanical test. Pressure tests were also performed using the pressure drop test method. The test results of all test methods used were compared with each other. On the basis of this comparison, a clear correlation was found between the sintering temperatures determined by the mechanical method and the pressure drop method and the physical properties of the ashes, such as density and heat capacity, as well as the chemical properties, i.e. the content of the slag phase. The results of the presented research are a valuable addition to the previous work of the authors. The goal of this work is to develop a precise and measurably simple method to determine the sintering temperature of ashes. This is an extremely important issue, especially in the case of the need to use a wide range of fuels in the energy industry.

Research hotspots and evolution trends of food safety risk assessment techniques and methods

AbstractFood safety incidents frequently occur in China and other countries. Food safety risk management has evolved from harm‐based to risk‐based approaches to control risks more scientifically and effectively. Risk assessment is at the core of risk control and provides a scientific basis for the development of risk management measures. Therefore, analyzing the research status and development trends of food safety risk assessment technologies and methods is important for improving food safety risk assessment and risk management. In this study, CiteSpace software was used to analyze a knowledge graph of popular research topics in the field of food safety risk assessment over the past 14 years, identify research keywords, and provide centrality statistics. Food safety risk assessments primarily focus on in vitro high‐throughput testing, computational toxicology, predictive microbiology, mechanistic research, and other technical methods. In the future, international coordination, cooperation, and cross‐integration of relevant disciplines should be strengthened, and research on and application of innovative technologies for food safety risk assessment should be promoted. Research on food safety risk assessment technologies and methods is in an active development stage and has good prospects for further exploration and application.

Abstract 4136781: Stethoscopes to Sequencers: How Next Generation Sequencing Aids Pediatric Cardiac Intensive Care Diagnosis

Background: Despite a high burden of rare genetic diseases among children admitted to cardiac intensive care units (CICUs), comprehensive guidelines for genetic testing in children with heart disease, particularly those that are critically ill, are lacking. Traditional testing methods, such as karyotype, chromosomal microarray (CMA) and candidate gene panels, are often employed based on suspected diagnoses. Rapid advancements in next-generation sequencing (NGS) technologies allow for more comprehensive genetic evaluation which is already recommended for patients with ventricular dysfunction, primary arrhythmias, and pulmonary hypertension (PH). Broad application of NGS in intensive care settings for pediatric heart disease has not been extensively investigated. Aims: Evaluate diagnostic efficacy of NGS in critically ill pediatric patients with cardiac disease. Methods: Retrospective cohort of patients who underwent exome or genome sequencing in a pediatric CICU between January 2020 and August 2023. Results: Exome or genome sequencing was performed on 49 patients with median testing age of 46 days (IQR 7-609). Primary cardiac phenotypes included congenital heart disease, ventricular dysfunction, arrhythmia, and PH. Forty-two pathogenic or likely pathogenic variants were identified and 23 (46.9%) resulted in a genetic diagnosis, of those, 16 (69.6%) were associated with a cardiac phenotype. Positivity rate did not differ between primary cardiac phenotypes but was significantly higher when the patient had associated multiple congenital anomalies (Fig. 1). Genome sequencing trended towards a higher positivity rate (54.5%) than exome (31.3%), though did not meet statistical significance (Fig. 1). Notably, 84.6% and 38.5% of the identified pathogenic variants would have remained undetectable by CMA and many commercially available gene panels, respectively. Conclusion: Exome and genome sequencing demonstrate high diagnostic yield across isolated and non-isolated cardiac disease and various cardiac phenotypes with diagnostic efficacy surpassing CMA and many commercial gene panels. As NGS technologies evolve, they promise to streamline diagnoses and enhance therapeutic decision-making for this patient population.

Integrating DNA Barcoding Within an Orthogonal Approach for Herbal Product Authentication: A Narrative Review

ABSTRACTIntroductionExisting methods for morphological, organoleptic, and chemical authentication may not adequately ensure the accurate identification of plant species or guarantee safety. Herbal raw material authentication remains a major challenge in herbal medicine. Over the past decade, DNA barcoding, combined with an orthogonal approach integrating various testing methods for quality assurance, has emerged as a new trend in plant authentication.ObjectiveThe review evaluates DNA barcoding and common alternative testing in plant‐related sectors to enhance quality assurance and accurate authentication.MethodStudies were selected based on their relevance to the identification, quality assurance, and safety of herbal products. Inclusion criteria were peer‐reviewed articles, systematic reviews, and relevant case studies from the last two decades focused on DNA barcoding, identification methods, and their applications. Exclusion criteria involved studies lacking empirical data, those not peer‐reviewed, or those unrelated to the main focus. This ensured the inclusion of high‐quality, pertinent sources while excluding less relevant studies.ResultsAn orthogonal approach refers to the use of multiple, independent methods that provide complementary information for more accurate plant identification and quality assurance. This reduces false positives or negatives by confirming results through different techniques, combining DNA barcoding with morphological analysis or chemical profiling. It enhances confidence in results, particularly in cases of potential adulteration or misidentification of plant materials.ConclusionThis study highlights the persistent challenges in assuring the quality, purity, and safety of plant materials. Additionally, it stresses the importance of incorporating DNA‐based authentication alongside traditional methods, to enhance plant material identification.

A Review of Rheological Properties of Steel Fiber Reinforced Concrete

The rheological properties of steel fiber reinforced concrete have a significant impact on engineering quality, and experimental characterization of the rheological properties of steel fiber reinforced concrete has significant engineering significance and scientific research value. By reviewing relevant literature both domestically and internationally, the article compares and analyzes the construction characteristics and applicable scope of commonly used concrete rheometers, and analyzes the influence of factors such as water cement ratio, mineral admixtures, aggregate properties, steel fiber properties, and additives on the rheological performance test results. The results show that there are significant differences in the test results using different rheometers, and the degree of influence of different factors on the rheological properties of steel fiber reinforced concrete is also different. This can provide reference for the selection of rheological performance testing methods and parameter control of steel fiber reinforced concrete.

Operator exposure and cabin protection in plant protection product application

AbstractTightly sealed driver's cabs can effectively protect the user from exposure when applying crop protection products. Therefore, under certain conditions, users in such cabins can avoid wearing personal protective equipment for skin and eyes. The protective effect depends on the technical design and handling of the different cabin types and can be divided into categories with different levels of protection. Since the level of protection of the different types of cabins and the associated possibility of not wearing personal protective equipment has not been sufficiently scientifically verified in the past, the present study was carried out to close this gap. Field and laboratory test methods were developed and used to assess exposure levels. External contamination of the cabin was measured using various dosimeters. Exposure inside the cabins was measured on coveralls and gloves to measure dermal exposure and with aerosol sampling pumps to determine inhalation exposure. Tests were conducted on tractors with different cab categories using an air-assisted orchard sprayer as a worst-case scenario for exposure to spray drift. Additionally, an alternative laboratory test method was developed and conducted to evaluate filter efficiency under controlled conditions and compare it with the field tests. The results showed that exposure inside closed cabins was generally low and was not notably correlated with the cabin category. All types of cabins tested were found to provide significant protection from dermal and inhalation exposure.

Numerical Computation and Statistical Interpretations of Heat Transfer of Tween-20/ethyl Acetate Nanofluid Flow with Melting Rheological Quality and Activation Energy

Tween-20 plays a significant role in the biological, food, and pharmaceutical industries. Additionally, it plays a vital role in improving the quality of reverse mechanisms of multi-drug resistance. This paper uses artificial neural computing to examine Tween-20 nanoparticles’ behaviors in a base fluid called ethyl acetate to enhance the applications in nanomedicine, drug delivery and biotechnology. The study focuses on the nonlinear model of a viscous fluid at the stagnation point, where mixed convection processes and activation energy are present. The study incorporates slip velocity and melting boundary conditions to examine heat and mass transfer, taking into account thermal and solutal stratification. Various fields of research and technology, specially in industrial engineering that include hydrodynamics, panto-graph systems, and biomedical mathematics, extensively utilize artificial computing. The datasets are based on velocity, temperature, and concentration outlines. The fourth-order Runge-Kutta method is used to generate the datasets. To validate the LMM-ABNNs, we have compared them with a numerical solution, showing a high level of agreement. We utilize the error histogram and mean square error results to validate the performance, scrutinize the training and testing methods, and explore the validity of the approximate answer. Furthermore, the quality characteristics such as skin friction, rate of heat, and mass movement (Nusselt and Sherwood numbers) are statistically analyzed to forecast the model’s durability. This article is the best example of investigating different fluid parameters with the latest artificial neural computing.