Standard Series Research Articles

Diagnostic performance of dual-energy CT with electron-density reconstruction for lumbar disc herniation.

Magnetic resonance imaging (MRI) is used for the evaluation of degenerative spinal disease. However, its utility is restricted in routine practice because of contraindications and a lack of widespread availability. Dual-energy computed tomography (DECT) is a newer technique for the evaluation of degenerative spinal disease. This study aimed to evaluate the diagnostic performance of DECT with electron-density (ED) image reconstruction compared to standard CT for the detection of lumbar disc herniation, with MRI as the gold standard. The retrospective study included 84 patients between 01 July 2023 to 31 December 2023 who underwent DECT and 1.5-T MRI within 1 week. Four radiologists, blinded to the clinical and MRI information, independently evaluated the standard CT series and DECT series with ED reconstructions for lumbar disc herniation and spinal nerve root impingement. The gold standard for comparison was lumbar spine MRI, and diagnostic accuracy was measured with sensitivity and specificity. MRI revealed 417 lumbar disc herniations. Dual-energy computed tomography with ED reconstruction showed higher sensitivity (86.36% [532/616] vs. 57.79% [356/616]) and specificity (96.86% [1019/1052] vs. 95.82% [1008/1052]) for the detection of lumbar disc herniation compared to standard CT. Dual-energy computed tomography with ED reconstruction shows better diagnostic performance for the detection of lumbar disc herniation compared to standard CT and can be a useful alternative imaging modality when MRI is contraindicated or unavailable. This study shows the usefulness of DECT as an alternative imaging technique for screening of degenerative spinal disease whenever MRI is contraindicated or unavailable.

SQSTS: A sequential procedure for estimating steady-state quantiles using standardized time series

ABSTRACT We develop and evaluate SQSTS, an automated sequential procedure for computing confidence intervals (CIs) for steady-state quantiles based on the simulation analysis methods of standardized time series (STS), batching, and sectioning. Using recent theoretical developments for STS-based quantile estimation in dependent sequences, we formulate the key steps in SQSTS for controlling the growth of the batch size on successive iterations of the procedure. The variance parameter associated with the full-sample quantile estimator is estimated by a combination of estimators that are asymptotically independent of each other and the full-sample quantile estimator with increasing batch size and a fixed number of batches. Extensive experimentation revealed that SQSTS performed well compared to its competitors in terms of estimated CI coverage probabilities; and it outperformed those competitors with regard to average sample-size requirements. Finally, we outline an extension of SQSTS for computing individual CIs for a set of selected quantiles.

Climatic Specific Energy Rating Analysis of Outdoor PV Field Data

ABSTRACTThe IEC 61853 standard series define the Climatic Specific Energy Rating (CSER), which can be used within the photovoltaic (PV) community as a reliable and accurate tool to differentiate between PV modules performance for different reference climates. The CSER is assumed to represent the expected PV device operation under real‐world conditions. The rating model combines a set of measurements on modules with a numerical approach. So far, research has mainly focused on the implementation of algorithms to determine the input parameters and to calculate the CSER values based on indoor measurement performance data. There is lack of information and technical specification how to obtain these parameters from outdoor PV field data in natural sunlight. In the present study, we first estimated the CSER parameter (according to IEC 61853‐3) for a PV module tested indoor using input values measured or defined according to IEC 61853‐1&2 with associated measurement uncertainties. Then, we analysed long‐term outdoor field data of the same device for a period of 36 consecutive months in order to understand how the length and seasonality of the data acquisition period impacts the reliability of irradiance and temperature power matrix values, particularly in relation to CSER calculations. Uncertainties estimations for the outdoor procedure have been also defined for rating accuracy. The PV outdoor performance has been validated against its indoor counterpart. The results concluded that a period of 9 or 12 months provides a good compromise between accuracy, time and cost‐effectiveness. The time period may be reduced to 6 months if the meteorological conditions are sufficiently diverse in this time frame. The study might raise worthwhile discussion regarding the revision of the IEC 61853‐1 for determining the (G‐T) matrix of PV modules from outdoor measurements under natural sunlight. It could enhance important insights to the PV community since the CSER parameter may become a compulsory requirement for each PV module produced, imported or sold in Europe if the potential European Union (EU) Ecodesign Directive and the Energy Labelling Regulation will be implemented.

Interpretation of the CDISC therapeutic area user guide for traditional Chinese medicine- acupuncture

Improving research data quality is a crucial aspect of high-quality clinical research of acupuncture and moxibustion. The Clinical Data Interchange Standards Consortium (CDISC) has developed a series of standards to support the collection, tabulation, and analysis of clinical research data. To enhance the efficiency and quality of clinical research in acupuncture, as well as to facilitate the integration, sharing, and secondary analysis of data from multiple similar studies, CDISC has developed and released the CDISC therapeutic area user guide for traditional Chinese medicine acupuncture (TAUG-TCM-Acupuncture). This paper introduced the TAUG-TCM-Acupuncture, including relevant concepts, main content, and its application in clinical research of acupuncture, with illustrative examples.

The smearing function for a multi-slit very small angle neutron scattering instrument

Besides traditional pinhole geometry, the multi-slit very small angle neutron scattering instrument (MS-VSANS) at the China Spallation Neutron Source also utilizes a multi-slit collimation system to focus neutrons. Using the special focusing structures, the minimum scattering vector magnitude (q) can reach 0.00028 Å−1. The special structures also lead to a significantly different smearing function. By comparing the results of theoretical calculations with experimental data, we have validated the feasibility of a smearing method based on a mature theory for slit smearing. We use the weight-averaged intensity of neutron wavelength as a representative to evaluate the effect from a broad wavelength distribution, concentrating on the effect from the geometry of the multi-slit structures and the detector. The consistency of the theoretical calculation of the smearing function with experimental VSANS scattering profiles for a series of polystyrene standards of different diameters proves the feasibility of the smearing method. This marks the inaugural use of real experimental data from an instrument employing a multi-slit collimation system.

Natural radioactivity and technological properties of kaolinized granite from the Motajica mine, Bosnia and Herzegovina

For the production of ceramic tiles, it is necessary to use high-quality and economical raw materials, which will optimize the properties of the final product and meet the prescribed standards. For this reason, it is necessary to examine the properties of each potential raw material. This paper examines radioactivity and technological properties of kaolinized granite from the Motajica mine, in Bosnia and Herzegovina. Chemical analysis, X-ray diffraction (XRD), and thermal analysis (DTA) were carried out. In order to examine the technological (ceramic) properties of this raw material, ignition tests of the composite obtained by introducing kaolinized granite (with a content of 25 %) into the standard factory series of ceramic tiles were conducted at four selected temperatures (1050, 1100, 1120, and 1150 ℃). Total linear shrinkage, flexural strength, and water absorption were determined for the produced biscuit. Using gamma spectrometry, the activity concentrations of radionuclides 226Ra, 232Th and, 40K were measured, and then the radiation risk for external exposure of workers in the industry was assessed using hazard indices and doses. The radiation risk from the use of manufactured unglazed ceramic tiles in houses was also assessed. Statistical analysis of radionuclides for 100 samples of kaolinized granite was performed using descriptive statistics and hierarchical cluster analysis (HCA). It was observed that the average values of 226Ra, 232Th, and 40K are above the average for building materials in the world and amount respectively to 122 Bq kg−1, 96 Bq kg−1, and 1068 Bq kg−1. All other obtained values indicate that it is a quality raw material that, despite having an increased content of radioactive elements compared to the world average, does not represent a radiological hazard for workers and people who stay indoors on an annual basis. The tested raw material satisfies all technological criteria for further use and can be considered a desirable ingredient of ceramic composites because it can partially or completely replace feldspar.

Multimodal Fusion Anomaly Detection Model for Agricultural Wireless Sensors

ABSTRACTAgricultural Internet of Things has become one of the most important data sources of agricultural big data. However, the wireless sensors equipped with agricultural Internet of Things is affected by many factors, and anomalous data inevitably exists during the data collection process. The existence of anomalous data leads to the deterioration of the agricultural data quality, which hinders the efficient development of agricultural data analysis. In order to detect anomalous data accurately for agricultural wireless sensors, in this article, we propose an anomaly detection model that combines multimodal fusion and error reconstruction. The model first adds Gaussian noise to the input sequence and converts it into standard time series and image data. Subsequently, it is processed by different modal encoders and fuses the image and sequence modal data using Temporal Cross‐modal Attention module to enhance the perception of anomalous modal information. Finally, the fused data is reconstructed, and anomalous data are identified by the image and sequence decoders. Comparison experiments with several baselines prove the validity of the model proposed in this article, ablation experiments prove the necessity of the key modules in the model, and multiple sets of experiments are also designed to discuss the effects of hyperparameters.

B-171 Iohexol Mass Spectrometry Method Validation and Comparison in Clinical Pediatric Laboratory

Abstract Background Accurate assessment of kidney function is important yet challenging in pediatric patients due to changing muscle mass affecting serum creatinine. There are several key methods to assess kidney function in this population, including estimated glomerular filtration rate (eGFR) from serum creatinine, urine creatinine clearance, and eGFR from serum iohexol clearance, which often provides a more reliable estimate. Iohexol is a non-ionic iodinated contrast agent filtered freely through the glomeruli without tubular secretion, making it an ideal GFR marker.In this study, we validated the LC-MS/MS method to quantitatively measure iohexol in clinical pediatric plasma and serum samples. The clinical performance was compared with the novel Verispray method. Methods A series of iohexol standards (Caymen Chemical) were prepared at 10, 100, 500, 1000 µg/mL in serum (UTAK). The liquid chromatography-tandem mass spectrometry (LC-MS/MS) method and Verispray method were developed to quantitatively measure iohexol concentrations in spiked pediatric specimens. The internal standard (IS) solution was prepared with Iohexol-D5 (Cayman Chemical) at 9 µg/mL in UPLC grade methanol. Specimen or calibration/QC (50 µL) were mixed with IS solution (450 µL), and then centrifuged at 14,000xg for 3 minutes. The supernatants were analyzed. For LC-MS/MS, 3 µL supernatants were chromatographed on a AccucoreTM Vanquish C18 50 x 2.1mm (Thermo Scientific) using a gradient of water with 0.1% formic acid (FA) against methanol with 0.1% FA. Iohexol and IS were measured by multiple reaction monitoring using a TSQ Quantis Plus Mass Spectrometer (ThermoFisher). For Verispray, 10 µL supernatants were loaded on the Verispray sample plate (ThermoFisher) without LC portion. The samples were extracted from the plate paper using 95% acetonitrile with 5% water and 0.1% FA before directly injected into the mass spectrometer. The LC-MS/MS method was evaluated for linearity, patient comparison, carryover, matrix effect, and stability. 40 patients were analyzed between methods. Results Linearity was assessed over 5 days at 4 calibrator levels, the coefficient of variation (CV) ranged from 3.46 - 5.99%. The patient comparison of 40, 20 serum and plasma respectively, was conducted with Mayo Clinics, and good concordance was observed. Matrix effects were evaluated with spiked samples prepared with 50% mobile phase A and B, the ion enhancement was at 10.7%, within the allowable limits. No significant carryover was seen. The samples were stable at room temperature for 48 hours and 4oC for 7 days. Freezing is not recommended. The comparison between Verispray and LC-MS/MS showed significant bias between and within the performing personnel, the deviation can be up to 40% comparing to LC-MS/MS method. Conclusions The LC-MS/MS method demonstrated stable and consistent analytical performance for iohexol measurement. However, the Verispray method showed significant inter- and intra-user variabilities. As the Verispray sample spot can only be used once, respotting is required for any additional measurement, reducing reproductivity. It is highly recommended to duplicate all samples when using Verispray, to limit preparation to one user per patient run. Overall, our validation indicates the LC-MS/MS method provides reliable performance as a useful alternative to other complex gold standard pediatric tests of kidney function.

A life cycle assessment of CCU process to produce a nanocomposite from ethanol plant CO2 emission

The use of rubber septa for controlled release of semiochemicals has raised important discussions about their efficiency and environmental impact since they are composed of fossil raw material. The life cycle assessment (LCA) of the synthesis of a nanocomposite type calcium nanocarbonate/Kraft lignin (NC-CN-KL) obtained from CO2 capture aimed to quantify the environmental loads involved in the production process. The synthesis evaluated by the LCA was performed on a laboratory scale, since it is a synthetic route classified as technological readiness level 4 (TRL-4) and is in the study and development stage. The LCA was performed according to the principles of the ISO 14044/2006 series of standards, from 101.854 g of nanocomposite as a functional unit. The limitations of the study arose from its synthesis scale, absence of LCA data on the rubber septa and other nanocomposites. The results obtained in the LCA identified electricity and other energy generation processes as the largest contributors to environmental loads for all environmental impact categories studied and suggest that research should focus on these inputs when choosing the sources used in energy nanocomposite formulation processes. LCAs for this synthesis to obtain NC-CN-KL should be carried out on a pilot scale, and it is expected that this work will contribute to the formulation of the material and decision-making, especially regarding the choice of the energy matrix.

New Bacterial Aryl Sulfotransferases: Effective Tools for Sulfation of Polyphenols.

The preparation of pure metabolites of bioactive compounds, particularly (poly)phenols, is essential for the accurate determination of their pharmacological profiles in vivo. Since the extraction of these metabolites from biological material is tedious and impractical, they can be synthesized enzymatically in vitro by bacterial PAPS-independent aryl sulfotransferases (ASTs). However, only a few ASTs have been studied and used for (poly)phenol sulfation. This study introduces new fully characterized recombinant ASTs selected according to their similarity to the previously characterized ASTs. These enzymes, produced in Escherichia coli, were purified, biochemically characterized, and screened for the sulfation of nine flavonoids and two phenolic acids using p-nitrophenyl sulfate. All tested compounds were proved to be substrates for the new ASTs, with kaempferol and luteolin being the best converted acceptors. ASTs from Desulfofalx alkaliphile (DalAST) and Campylobacter fetus (CfAST) showed the highest efficiency in the sulfation of tested polyphenols. To demonstrate the efficiency of the present sulfation approach, a series of new authentic metabolite standards, regioisomers of kaempferol sulfate, were enzymatically produced, isolated, and structurally characterized.

Research on automated verification method for temperature-related tests of electrical energy meters

Abstract Program of pattern evaluation of fixed electrical energy meters-alternating current and GB/T 17215 series of national standards for the examination of energy meter performance by the impact of temperature change, set up a variety of temperature-related test items. Systematic research is possible to conclude that temperature-related tests can be divided into two categories according to the test procedure: Hold at test temperature for a certain period of time, return to the reference temperature and then measure the relevant parameters; measurement of the relevant parameters immediately after a certain period of time at the test temperature. Relevant parameters include errors at different load points and daily timing error of the internal clock of the energy meter. Data processing is undertaken after the test mainly consists of deriving error shift and mean temperature coefficient. This automated calibration method allows you to freely set the test temperature, test duration, reference temperature, stabilization duration, detection parameters, test points and data processing according to the test requirements. The paper explains in detail the application of the automated calibration method to realize typical temperature dependence, test of time-keeping accuracy of the energy meter with temperature and climatic tests (high temperature test, low temperature test and durability test of accuracy) The method breaks the shackles of the traditional calibration method of fixed test temperature, fixed test points and fixed test duration. It can adapt to the development needs of different levels of pattern evaluation of energy meter and national standards, for the laboratory to realize automated testing to provide the basis for industry standards and product testing commissioned inspection.

Publisher’s Note

IOP Publishing presents Volume 2877 of the open-access Journal of Physics: Conference Series (JPCS) as the HAPP 10th Anniversary Commemorative Volume. This volume of JPCS is quite different to standard IOP Conference Series proceedings volumes which contain a single edition of a conference. This unique volume contains contributions from the St Cross Centre for the History and Philosophy of Physics (HAPP) derived from a decade of HAPP termly one-day conferences and standalone lectures and seminars. We hope this compilation will contribute to discussions about philosophy and methodologies that inform how current research in physics is undertaken and will be useful for the general public, scientists, historians and philosophers.

Patch Test as a Helping Hand in Farmers with Hand Eczema

Background: Farmers are particularly exposed to a large number of allergens including fertilizers, plant allergens, soil, and manure which may be aggravated by sun exposure. Hand eczema can cause significant morbidity affecting the patient’s occupational work. Patch test is an important diagnostic tool in differentiating between irritant contact dermatitis and allergic contact dermatitis and in the latter, to identify the culprit allergen causing hand eczema. Aims: This study aimed to identify the role of patch tests in hand eczema in farmers and to identify the common causative allergens of hand eczema in farmers. Materials and Methods: Fifty farmers aged 18 years and above presenting with hand eczema were enrolled in the study after taking approval from the institutional ethics committee. Patients who were pregnant, lactating, on systemic steroids, and immunosuppressants were excluded from the study. Patch test was done using the Indian Standard series of 20 allergens approved by the Contact Dermatoses Forum of India applied to the back of the patient. The first reading was taken at 48 h, 30 min after removal of the patch, and another reading was taken at 96 h. The results were interpreted according to the International Contact Dermatitis Research Group criteria. Results: Out of 50 patients, there were 28 males and 22 females. Hyperkeratotic eczema was the most common morphology (38%). The most common allergen was parthenium (44%) followed by potassium dichromate (22.7%) and nickel (9%). Limitations: A larger sample size would have helped to better substantiate the findings of the study. Conclusion: There is an undeniable relationship with the occupation of the individual wherein agriculturists and masons had the maximum predisposition. The most common cause of hand eczema in this study was parthenium in farmers and also other allergens played an important role such as potassium dichromate, nickel, and paraphenylenediamine.

Создание системы обеспечения качества педагогического образования в Китае на основе стандартов: Ретроспектива и перспектива

After entering the 21st century, a series of standards have been developed to build a standards-based quality assurance system for teacher education in China. The building of quality assurance system for teacher education has made some achievements, but it also faces some problem. At present, the building of high-quality teacher education system has been determined as the most important task in the reform and development of teacher education in China. This requires us to improve the quality assurance system for high-quality teacher education on the basis of reflecting on the existing system building. Based on documentary analysis the paper examines the building process and compositions of the standards-based quality assurance system for teacher education in China, and analyzes the problems and challenges of the existing system and puts forward some suggestions on building a quality assurance system for teacher education based on development-oriented teacher professional standards.

VWFTS-PSO: a novel method for time series forecasting using variational weighted fuzzy time series and particle swarm optimization

Variational weighted fuzzy time series models are known to perform better than traditional fuzzy time series models, due to their ability to handle outliers and noise. However, the performance of variational weighted fuzzy time series models is highly dependent on the partitioning of the universe of discourse. In this paper, we propose a novel variational weighted fuzzy model integrated with particle swarm optimization for choosing the best possible partitioning of the universe of discourse. Our approach combines the strengths of variational weighted fuzzy time series to handle uncertain and imprecise data and particle swarm optimization techniques to find the best model parameters. We evaluate the performance of the proposed approach on standard time series datasets and compare it with other forecasting methods in the literature. Our findings demonstrate that the proposed approach achieves accurate and reliable forecasts, outperforming other state-of-the-art approaches.

Static modelling of qualimetric indicators of universal hydraulic excavators

Abstract. Problem. The analysis of modern methods used by leading world manufacturers in the design of construction and road machines, such as typing, unification, modular design, emphasises the need for their application in the development of domestic machinery. Training in the implementation of modern computer-integrated technologies is an urgent task that needs to be addressed throughout the entire university education, in course and diploma work, and in research activities. It is desirable to create new machines on the basis of technical information about the current state of achievements in the industry and an understanding of the trends in excavator production. The main goal. The aim of the work is to study the regularities in the formation of design parameters of a certain group of construction machines based on the establishment of features inherent in modern excavators of various types and sizes, studying the range of earthmoving equipment manufactured by well-known world companies, obtaining correlation dependencies between the main qualimetric indicators, as well as computer modelling of the design of machines within the established trends. Methodology. It consists in the widespread use of computer-integrated technologies, both in the geometric modelling of the designed components and in the dynamic modelling of functional and technological parameters, which allows us to draw certain conclusions about improving the efficiency of model creation and virtual research. The research was carried out using computer modelling in the Autodesk Inventor software. Results. The article presents the results of studies of prospects and trends in the development of modern excavator construction based on the analysis of qualimetric indicators of machines manufactured by worldfamous firms, companies and corporations, which show that the functional schemes of working equipment are becoming more developed, the number of hinge joints is increasing, which allows expanding the service area. Originality. It consists in the results of statistical modelling of the standard size series of hydraulic construction excavators and obtaining correlation dependencies between the weight and power of excavators based on the analysis of technical characteristics of 11 world-famous manufacturers. Practicalvalue. The main trend in improving the design of excavators is to expand the technological capabilities of hydraulic driven working equipment, the number of which on modern excavators can be 5-8 or even more, which should be taken into account when designing new machines.

Carotid artery assessment in dual-source photon-counting CT: impact of low-energy virtual monoenergetic imaging on image quality, vascular contrast and diagnostic assessability

PurposePreliminary dual-energy CT studies have shown that low-energy virtual monoenergetic (VMI) + reconstructions can provide superior image quality compared to standard 120 kV CTA series. The purpose of this study is to evaluate the impact of low-energy VMI reconstructions on quantitative and qualitative image quality, vascular contrast, and diagnostic assessability of the carotid artery in patients undergoing photon-counting CTA examinations.Materials and methodsA total of 122 patients (67 male) who had undergone dual-source photon-counting CTA scans of the carotid artery were retrospectively analyzed in this study. Standard 120 kV CT images and low-keV VMI series from 40 to 100 keV with an interval of 15 keV were reconstructed. Quantitative analyses included the evaluation of vascular CT numbers, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR). CT number measurements were performed in the common, external, and internal carotid arteries. Qualitative analyses were performed by three board-certified radiologists independently using five-point scales to evaluate image quality, vascular contrast, and diagnostic assessability of the carotid artery.ResultsMean attenuation, CNR and SNR values were highest in 40 keV VMI reconstructions (HU, 1362.32 ± 457.81; CNR, 33.19 ± 12.86; SNR, 34.37 ± 12.89) followed by 55-keV VMI reconstructions (HU, 736.94 ± 150.09; CNR, 24.49 ± 7.11; SNR, 26.25 ± 7.34); all three mean values at these keV levels were significantly higher compared with the remaining VMI series and standard 120 kV CT series (HU, 154.43 ± 23.69; CNR, 16.34 ± 5.47; SNR, 24.44 ± 7.14) (p < 0.0001).The qualitative analysis showed the highest rating scores for 55 keV VMI reconstructions followed by 40 keV and 70 keV VMI series with a significant difference compared to standard 120 kV CT images series regarding image quality, vascular contrast, and diagnostic assessability of the carotid artery (all comparisons, p < 0.01).ConclusionsLow-keV VMI reconstructions at a level of 40–55 keV significantly improve image quality, vascular contrast, and the diagnostic assessability of the carotid artery compared with standard CT series in photon-counting CTA.

Matters of assuring functional dependability compliance of digital manufacturing

Aim. To propose a methodological approach to ensuring the functional dependability of industrial facilities using SMART documents in the context of import-independent digital processes. Methods. The evolving applicability of the dependability theory and information systems design has defined the methodological provisions for algorithmising the application of SMART standards for minimising functional faults and failures of industrial processes. Digital models of production lines were examined as tools for machine-recognisable representation of standards. The proposed form of regulatory documents is intended to enable the transition from machine-readable data to machine-understandable content. Findings. The application of the proposed methods of content systematisation in the context of manufacturing process standardisation shows that the classification of process data based on standardised characteristics of digital information exchange processes is one of the key methodological provisions ensuring unambiguous interpretation of regulatory requirements. Specialised projects often use individual provisions rather than complete regulatory documents. In this case, in order to ensure machine-understandability of the developed content, it is proposed using special identifiers, e.g., «paragraph», «graphic object», «table cell». The deployment of such identification tools will allow creating a class of SMART standards that collect into a single document the provisions regarding the delivery of intended results in situations when the operating equipment is diverse. Publications created using intelligent processing of SMART documents are considered as containers of structured and unstructured data that take into account the conditions of particular projects. The existing dynamics of the demand for advanced industrial products often determines the admissibility of its industrial production by various companies with the parallel use of unique technologies. The conditions of such an organisation impose their limitations on the comparability of various process requirements, therefore, it is proposed to harmonise the presentation of the results of managerial, design, and process engineering solutions using the term «manufacturing system asset». The introduction of relative result estimates as part of the digital format is an efficient mechanism for ensuring management consistency. In this context, the importance of a uniform regulatory framework as the foundation for such assessments is growing. As one of the ways of minimising faults and failures of industrial equipment, it is proposed to create a situation centre with a decision support system based on the regulatory data with harmonised manufacturing system asset requirements. An experience of Industry 4.0 regulation is described in the review of the ISA digital manufacturing series of standards. It was shown that the deployment of SMART standards improves the stability of interaction between information management systems and the functional dependability of production lines. The introduction of provisions regulating the use of algorithms for the development, editing, and examination of draft regulatory documents into the content machine-understandability facilities is an important factor in ensuring the functional dependability of products. Conclusions. The presented approach is focused on the methodology for developing standards that take into account requirements from various subject areas. In the context of ongoing import substitution in manufacturing, the paper examines the feasibility of minimizing digital process faults and failures caused by the use of regulatory frameworks that are not equivalent to the provisions of international documents and take into account the specificity of Russian industrial systems.

Allergens causing contact dermatitis of the feet: Investigation and analysis of allergic reaction causes.

Allergic contact dermatitis of the feet is a significant problem that affects the quality of life and requires attention from the medical community due to the number of studied and still unidentified allergens. The purpose of this review article is to summarize the available scientific data regarding the most common allergens that cause ACD of the feet. Nickel sulphate, neomycin sulphate, thiuram mix and colophony occupy a significant place in the prevalence of allergies. The prevalence of sensitization to rubber and leather products can vary depending on the ethno-demographic characteristics of the country, as well as the specifics of a person's professional activity, such as the use of protective waterproof shoes, increased humidity of the microclimate, and atopy in anamnesis. Patch testing has been shown to be an important method for identifying allergens, however, not all footwear components are tested during patch testing with standard allergen series, requiring the use of patches made from patient shoe samples. Expanding the scope of patch testing to include other possible allergens is important for the accurate diagnosis of ACD of the feet and a more detailed study of those allergens that were previously considered rare.

An electrochemical series for materials

The electrochemical series is a useful tool in electrochemistry, but its effectiveness in materials chemistry is limited by the fact that the standard electrochemical series is based on a relatively small set of reactions, many of which are measured in aqueous solutions. To address this problem, we have used machine learning to create an electrochemical series for inorganic materials from tens of thousands of entries in the Inorganic Crystal Structure Database. We demonstrate that this series is generally more consistent with oxidation states in solid-state materials than the series based on aqueous ions. The electrochemical series was constructed by developing and parameterizing a physical, human-interpretable model of oxidation states in materials. We show that this model enables the prediction of oxidation states from composition in a way that is more accurate than a state-of-the-art transformer-based neural network model. We present applications of our approach to structure prediction, materials discovery, and materials electrochemistry, and we discuss possible additional applications and areas for improvement. To facilitate the use of our approach, we introduce a freely available website and API.