Measures Of Parameters Research Articles

Insights into Stable Apple Genotypes for Fruit Yield in Himachal Pradesh: An Assessment Using Parametric and Non-parametric Stability Measures

Insights into Stable Apple Genotypes for Fruit Yield in Himachal Pradesh: An Assessment Using Parametric and Non-parametric Stability Measures

The Implications of Sacralized Transitional Vertebra on Spinal Alignment.

Retrospective study of a multicentric prospective database. This study aimed to determine, in a cohort of healthy volunteers, the impact of sacralized lumbo-sacral transitional vertebra (LSTV) on spinal alignment according to its grade, particularly regarding lumbar lordosis magnitude and distribution, and the implications for spinopelvic parameters measurement. There is little data regarding spinopelvic alignment assessment in LSTV patients. This study included healthy volunteers with full-body stereoradiographs in free-standing position aged over 18. Castellvi grade, pelvic parameters (measured on S1 and L5), L1-S1 lumbar lordosis (LL) and segmental lordosis for each disc and vertebral body, thoracic kyphosis, cervical lordosis, lower limb, and global alignment parameters were assessed. Castellvi I and II were considered as Low-grade and Castellvi III and IV as High-grade LSTV. Alignment parameters between No-LSTV, Low- and High-grade LSTV were compared. Propensity score matching was used to match PI in No-LSTV and Low-grades. Spinopelvic parameters measured on S1 in No-LSTV group and on L5 in High-grade were compared. 713 subjects were included, of whom 23 Low-grades and 27 High-grades. Mean pelvic incidence was 51.0±11.0° and mean age was 37.5±16.2 years. LL distribution was different between groups, with an apex and inflexion point significantly higher in High-grade (P<0.001). Kyphosis in the LSTV segment was compensated for by a steeper increase of LL above L5 in the High-grades. Low-grades and PI-matched No-LSTV presented similar alignment parameters. There were minor differences in parameters measured on S1 in No-LSTV and no L5 in High-grades. Subjects with low-grade LSTV present similar alignment as PI-matched No-LSTV subjects, and S1 should be taken as reference to measure spinopelvic parameters. High-grade LSTV subjects have kyphotic L5-S1 segment with more cranial lumbar apex and thoracolumbar inflexion point. In these subjects, spinopelvic parameters should be measured on L5.

Generalized Parametric Fuzzy Information Measure

Objective: To generalize an existing fuzzy information measure and verify its important properties. Methods: Both objective and descriptive methods have been adopted; problem-solving and problem-posing methods have been used. A collection of properties presented by De Luca and Termini is used as a standard for establishing new fuzzy information measures. Findings: This study has analysed the different features of the parametric measure of fuzzy information that we have presented. The suggested fuzzy entropy measure is a legitimate measure of fuzzy information since it meets all necessary requirements. Its monotonic behaviour has also been studied. Comparisons between the proposed measure of fuzzy information and the corresponding measure of probabilistic information have been discussed. Novelty: The unique quality of the suggested fuzzy information measure is found in its monotonic behaviour corresponding to parameter α. When conducting a multicriteria decision analysis and directing the decision-making process, monotonic fuzzy information measures are more useful. Because the suggested measure satisfies fundamental set features, it can be applied in soft computing for economics, decision-making, and data aggregation. Mathematics Subject Classification: 94 D 05 Keywords: Fuzzy Entropy, Uncertainty, Fuzziness, Measures of Information, Shannon Entropy

Evaluation of tear film function by Oculus Keratograph 5M and IDRA ocular surface analyser.

The aim of this study was to evaluate the function of tear film with Oculus Keratograph 5M (Oculus K5M) and IDRA ocular surface analyser (IDRA), analyse their consistency and explore the potential of IDRA in the diagnosis of dry eye disease (DED). This cross-sectional study enrolled 36 participants (DED group, 14 eyes; non-DED group, 22 eyes). The parameters of tear film function, including the first noninvasive breakup time (fNIBUT), average NIBUT (aNIBUT), tear meniscus height (TMH), lipid layer thickness (LLT), lipid layer colour (LLC), lipid layer uniformity (LLU), morphology of meibomian glands (MGs) and MG loss, were obtained with Oculus K5M and IDRA. The consistency of parameter measurements between the two devices was evaluated. All the parameters except LLT, which can be measured only by IDRA, were not significantly different between the two instruments in DED eyes. However, IDRA reported lower values of fNIBUT, aNIBUT and TMH as well as higher MG loss scores in non-DED eyes than Oculus K5M did (p < 0.001, < 0.001, = 0.002, and = 0.002, respectively). Further regression analysis revealed that aNIBUT and LLT measured by IDRA were the optimal parameters for diagnosing DED (OR = 0.567 and 0.845, p = 0.057 and 0.043, respectively), and their combination had the strongest diagnostic potential (AUC = 0.841, sensitivity = 85.7%, and specificity = 77.3%). As a user-friendly noninvasive device, the tear film function parameters measured by IDRA were highly consistent with those measured by Oculus K5M in DED patients. The combination of aNIBUT and LLT measured by IDRA had the best diagnostic accuracy for DED.

A parametric similarity measure for neutrosophic set and its applications in energy production

As a useful tool for managing ambiguous and inconsistent data, the Single Value Neutrosophic Set (SVNSs) is an extension of both Fuzzy Sets (FSs) and Intuitionistic Fuzzy Sets (IFSs). In the field of information theory, metrics like similarity, entropy, and distance are important. Although a number of entropy measures for SVNSs have been put forth and used in real-world situations, both academic research and real-world applications have pointed out certain drawbacks. Additionally, the Similarity Measures (SMs) is a useful instrument for determining how similar any two fuzzy values are to one another. The distance between the values allows the current SMs to evaluate the similarity. However, due to a few characteristics and intricate value operations, there are irrational and nonsensical cases. To deal with these preposterous cases, this paper proposed a parametric similarity measure in view of three parameters m1,m2,m3 in which decision makers can obtain the appropriate SMs by changing parameters with different decision styles. Furthermore, we analyze some existing SMs from a mathematical perspective and demonstrate the success of the proposed SMs using mathematical models. Ultimately, we apply the suggested SMs to resolve the Multi-Attribute Decision-Making (MADM) problems. We learn from the correlation and analysis that the suggested SM outperforms certain other SMs that are based on the SVNSs.

Compensation of system nonlinearity in the measurement of acoustic nonlinearity parameters

The acoustic nonlinearity parameter is determined from the amplitudes of the fundamental and second harmonic component of the acoustic wave propagating through the material. However, the generally used through-transmission based measurements with PZT transducers contain high system nonlinearity, so that the received second harmonic component includes an extra component caused by the transducer, which significantly decrease the reliability of measurements. In this study, we proposed a novel method to reduce the system nonlinearity in the conventional through-transmission based measurements by adding a simple process in which the transmitting and receiving transducers are in direct contact without a specimen. The proposed method was experimentally validated for two materials, Al6061-T6 and Fused Silica. For both materials, several specimens with different thickness were prepared, and the measurement results showed that the magnitude of the second harmonic was proportional to the thickness, but there was an offset due to system nonlinearity. On the other hand, after applying the proposed technique, the offsets were greatly reduced, and furthermore, this performance was maintained even when the transducer setup was changed, and the ratio of nonlinearity parameters measured for the two materials was in good agreement with the known literature value.

An efficient multi‐probe enabled midfield over‐the‐air test method for 5G base station antenna pattern reconstruction

AbstractWith the accelerated deployment of 5G massive multi‐input multi‐output (MIMO)‐structured base stations (BSs), accurate and efficient testing of massive MIMO arrays is essential to ensure that the 5G massive MIMO antenna array can perform as expected. The increasing trend of both antenna element and array physical size makes massive MIMO antenna pattern measurement in the direct‐far‐field OTA environment unrealistic due to the signal attenuation, long measurement time, and ultra‐high test system construction cost. Therefore, the necessity of a compact, efficient, low‐complex, yet accurate OTA test method is evident, especially for 5G massive MIMO BS arrays. This paper proposes a novel multi‐probe‐enabled midfield (MF) OTA test method for 5G massive MIMO devices in compact measurement settings where antenna pattern measurement can be efficiently performed. The detailed theoretical analysis for the 5G massive MIMO array MF antenna pattern reconstruction method is presented, and the simulated validation results based on the typical 5G BS antenna arrays are provided and analysed, which demonstrate the effectiveness of the proposed MF OTA test method and can provide insights into the radio frequency parametric measurement for 5G massive MIMO devices.

Effects of Pelvic Rocking and Deep Breathing Relaxation Exercises on the Progression of the Active Phase of the First Stage of Labor

Prolonged labor or undeveloped labor is one of the complications in childbirth. Where prolonged labor is labor that lasts more than 24 hours in primi and more than 18 hours in multi. The purpose of this research is for the Influence of Pelvic Rocking Exercise and Slow Deep Breathing Relaxation on the Progress of the First Stage of Labor among mothers giving birth in Indonesia in 2024. Research methods This is a pre experimental quantitative research with a group compilation statistical design. The data analysis used is univariate and bivariate analysis using the Mann Whitney hypothesis test, which is a non-parametric test that measures differences equivalent to the independent T test in parametric measurements. The p-value result was 0.000. This shows that there is a significant influence of pelvic rocking exercise and slow deep breathing relaxation on the progress of the first stage of labor in 2024. This pelvic rocking exercise and slow deep breathing relaxation intervention can be applied by the birthing mother so that the mother can give birth safely, comfortably and in a quicker time than without intervention.

Comparative analysis of three jaw motion tracking systems: A study on precision and trueness.

The purpose of this study was to assess the precision and trueness of three jaw motion tracking systems, the KaVo ARCUSdigma system, SDiMatriX system, and Modjaw system, in recording mandibular movements based on optical and ultrasonic principles. Twenty-five healthy subjects were selected for the present study to measure protrosive movement and left and right lateral movements using the three jaw motion tracking systems. Each subject's mandibular movement was recorded twice with a 1-week interval. Five parameters-sagittal condylar inclination (SCI) angle, incisal guide angle, Bennett angle, lateral condylar inclination angle, and Fischer's angle-were acquired for further analysis. The precision of the jaw motion tracking systems was evaluated by comparing the results of two measurements of the same parameter. Simultaneously, cone beam computed tomography (CBCT) was utilized during the initial data acquisition and was aligned with intercuspal position (ICP) and edge-to-edge occlusion intraoral scan data. Bone landmarks were used to calculate bilateral SCI as a reference for comparison with the SCI values from each jaw motion tracking system. An independent-sample t-test was conducted to compare parameter differences, with statistical significance set at a p-value below 0.05. There were no significant differences among the three jaw motion tracking systems regarding the corrected values of SCI, incisal guide angle, Bennett angle, lateral condylar inclination angle, and Fischer's angle during the 1-week interval (p>0.05). The values of bilateral SCI obtained by CBCT were 48.57±6.74 (L) and 48.35±5.28 (R), respectively. No significant differences were found between the reference SCI and those parameters measured by the KaVo ARCUSdigma system and the Modjaw system (p>0.05), while the results obtained from the SDiMatriX system indicated a significant difference compared to the reference SCI (p<0.05). The three jaw motion tracking systems exhibited favorable results in terms of precision. Regarding trueness, both the KaVo ARCUSdigma system and the Modjaw system demonstrated a satisfactory levels suitable for applications in digital prosthodontics within clinical settings. However, further refinement is needed to enhance the trueness of the SDiMatriX system.

Longitudinal controlled attenuation parameter and liver stiffness in children with and without perinatal HIV infection in South Africa.

Metabolic dysfunction-associated steatotic liver disease (MASLD) is an emerging cause of liver disease in HIV. Transient elastography (TE) with controlled attenuation parameter (CAP) measures liver stiffness as a marker of liver fibrosis and CAP as a measure of hepatic steatosis. Our aim was to evaluate longitudinal CAP and liver stiffness in children with perinatally acquired HIV (PHIV) on antiretroviral therapy (ART) from early life compared to children without HIV (HU). Prospective cohort study. PHIV and HU were followed annually for two years. During the study, 60% of PHIV switched from older ART regimens to tenofovir disoproxil, lamivudine and dolutegravir (TLD). Longitudinal evolution of CAP and liver stiffness were investigated in two PHIV groups - on older ART and on TLD - compared to HU children using linear mixed effects models. 263 children and adolescents (112 PHIV, 151 HU) aged 7-20 years were followed. PHIV on older ART had CAP 8.61% (95% CI 4.42-12.97, P < 0.001) greater than HU and no significant difference in CAP between PHIV on TLD and HU. No significant difference in liver stiffness was found between PHIV on older ART regimens and PHIV on TLD compared to HU. PHIV on older ART had higher CAP than HU, whereas in PHIV switched to TLD there was no difference in CAP compared to HU. There was no difference in liver stiffness between either PHIV group and HU. This suggests starting ART early in life might protect PHIV from developing hepatic fibrosis.

Parametric picture fuzzy cross-entropy measures based on [formula omitted]-Choquet integral for building material recognition

This research paper introduces a novel picture fuzzy cross-entropy measure that utilizes Lin’s divergence as a basis for comparing two picture fuzzy sets. To improve the flexibility and applicability of this new cross-entropy measure, a family of parametric cross-entropy measures is defined. By adjusting the parameters in applications, the influence of the degree of positive membership, negative membership, and neutral membership on the picture fuzzy cross-entropy can be observed, allowing for a more tailored analysis. Additionally, we investigate the relationship between power weighted means and the d-Choquet integral, which serves as an extension of the ordinary Choquet integral. Using this knowledge, picture fuzzy cross-entropy measures based on the d-Choquet integral are introduced to yield more sensitive results, particularly when interactions between criteria exist in specific problem domains. This consideration of criterion interactions is often absent in existing cross-entropy measures. Moreover, an algorithm is presented for solving pattern recognition problems and applied to a building material recognition problem sourced from existing literature. Then, we proposed another algorithm and use it to investigate a novel material classification problem. Through these applications, the effectiveness of the proposed cross-entropy measures in pattern recognition is demonstrated. The paper conducts a comparative analysis between existing methods and the proposed approaches, followed by a sensitivity analysis. This analysis involves manipulating the parameters derived from both the parametric cross-entropy measures and the d-Choquet integrals to assess their respective impacts and sensitivities. Finally, the results regarding the classification problem are examined with performance metrics such as accuracy, precision, recall, and F1 score.

Clinical and Hemodynamic Outcomes with Enalapril Orodispersible Minitablets in Young Children with Heart Failure Due to Congenital Heart Disease.

Background: The angiotensin-converting enzyme inhibitor (ACEI) enalapril is often administered to infants and young children with heart failure (HF) in various dosing regimens and formulations not adapted for their age. Methods: This prospective, two-center, open-label 8-week study evaluated an age-appropriate formulation of orodispersible minitablets (ODMTs) of enalapril (0.25 mg and 1 mg) in children aged 0 to 6 years with HF due to congenital heart disease. An age/weight-based dosing schedule was followed. Measures of echocardiographic parameters, blood pressure, heart rate, modified Ross score, and biochemistry were obtained over the 8-week period. The following two groups were assessed: ACEI-naïve and ACEI-pretreated patients. Results: In total, 53 children (age range of 0.05 to 4.8 years) were enrolled and 29 were ACEI-naïve. The average enalapril dose was 0.098 mg/kg (0.06-0.17 mg/kg) in the naïve group and 0.15 mg/kg (0.07-0.3 mg/kg) in pretreated patients. After 8 weeks, the modified Ross score and left ventricular diastolic dimension (LVD) z-score showed a significant decrease in both groups (p < 0.005). During 8 weeks follow-up, there were no difference in the z-scores for the systolic blood pressure (p = 0.071) or heart rate (p = 0.146). Conclusions: Pediatric patients treated with ODMTs of enalapril for 8 weeks had favorable improvements in LVD and HF symptoms.

Morphometric Characterization and Principal Component Analysis of Different Goats Breeds

Goats play a very vital role in the livestock industry and are the only livestock not forbidden by any religion. Morphometric characterization is very important for the improvement of goat breeds and the proper classification of these animals. A linear measurement was carried out on sixty goats consisting of 20 each Red Sokoto (RS), West African Long logged (WLL), and West African Dwarf WAD) goat. Parameters measures were Withers height (WH), Rump height (RH), Body length (BL), Sternum height (SH), Body depth (BD), Bicostal diameter (BC), Ear length (EL), Rump width (RW), Head width (HW), Rump length (RL), Head length (HL) Heart girth (HG), Cannon bone Circumference (CB), Muzzle diameter (MD). The data collected was subjected to statistical analysis using R. version 4.0.2. It was observed that WH, RH, BL, SH, BD, BC, EL, RW, HW, RL, HL, HG, CB, and MD, exhibit variations across different age groups. For example, WH increases from 36.89 cm (at 1.00 years) to 63.98 cm (at 4.00 years), indicating a growth in wither height as goats increase in age. A significant difference (p&amp;lt;0.05) in the morphometric parameters across different age groups was observed. The lowest mean weight (11.50±1.1) was recorded in WAD while the highest (24.40±1.24) was recorded in WLL). These variations in weight were significant (p&amp;lt;0.05) across the breeds. Principal Component Analysis shows that four components contributed to 74% of the variation in the goat. The estimation classified the goats as heavy meat type while the Dactyl thorax index classified the WAD and RS as brevigline and the WLL as medigline. This study therefore contributes to a better understanding of goat morphology which has practical implications for livestock breeding and management programs. Informed decisions can also be made about breeding strategies, selecting animals specifically, and improving the overall goat population using the information provided in this study.

Estimation and Management of Wind Energy in Ikorodu Lagos Lagoon, Using Weibull Parametric Measurement to Electricity Production in Nigeria

This paper is an approach on the estimation and approximation management of wind energy production around the lagoon axis of Ikorodu, Lagos state, Nigeria. The article concentrates on the availability of renewable resource such as wind to generate electrical energy in the greater Ikorodu metropolis of Lagos state Nigeria. Here, probability distribution function is used to generate the wind data. In this paper, three distinct methods are presented; Data time series analysis, Weibull probability function, and theoretical comparison with analytical concept. This research uses two important parameters for analyzing wind data: shape factor “k” and scale factor “c” from Weibull distribution function. The theoretical uses mathematical equations of popular methods such as: (a) Moment method, (b) Empirical Formula, or statistical standard deviation, (c) Peak likelihood, (d) modified peak likelihood, (e) double modified peak likelihood (f) graphical method or smallest mean square, and (g) energy sequence factor. The results obtained are tested to optimize the value from the Weibull parameters by adopting five techniques: (i) root average square error methodology, X2, power of agreement , MAPE, and RRMSE. The results expatiated on the practical and theoretical techniques design to confront the outcome of wind energy harnessed per 1.5 km2. Here, a differential optimization technique is used to determine the precision report. This serve as the basis of error litmus check existing between the wind energy determined by theory of statistical and mathematical Weibull Parametric function and the practical time-series data analysis in LSTM. Again, the wind data (speed and energy/power) were measured and recorded between January 2020 to December 2023 in the Ijede-Ikorodu Lagoon area of Lagos State. The optimized value for the shape factor k and scale factor c parametric measurement and management for maximizing the output electrical energy are obtained by using a well robust Weibull distribution function techniques and by absolutely determining and selecting the best position and location for installing the wind/wave alternators/generator. These generators come with turbines as a single unit. The measurement of the yearly average wind speed and average wind power are 10.09 ms-1 and 10.1 KWm-2, concurrently.

Prognostic Implications of Resistive Reserve Ratio in Patients With Nonobstructive Coronary Artery Disease With Myocardial Bridging.

Myocardial bridging (MB) is accompanied by the dynamic extravascular compression of epicardial coronary arteries, leading to intracoronary hemodynamic disturbance with abnormal coronary flow profiles. We aimed to evaluate the prognostic implications of resistive reserve ratio (RRR), a composite measure of flow and pressure parameters that represents the vasodilatory capacity of the coronary arteries, in patients with angina with nonobstructive coronary artery disease (ANOCA) and MB, in comparison with coronary flow reserve (CFR). In this retrospective cohort study, we included patients with ANOCA who underwent coronary reactivity testing, where MB was identified by transient constriction in coronary artery segments between systole and diastole. Abnormal CFR and RRR were defined as <2.5 and <2.62, respectively. Major adverse cardiac events, including cardiovascular death, stroke, myocardial infarction, heart failure, and late revascularization, served as outcomes. Among 1251 patients with ANOCA, 191 (15.3%) had MB. The prevalence of abnormal CFR or RRR was not significantly different between patients with and without MB (P=0.144 and P=0.398, respectively). Over a median follow-up time of 6.9 years, abnormal RRR predicted major adverse cardiac events in patients with MB (hazard ratio [HR], 4.38 [95% CI, 1.71-11.21]; P=0.002) and without MB (HR, 1.91 [95% CI, 1.38-2.64]; P<0.001). Abnormal CFR predicted major adverse cardiac events in patients without MB (HR, 2.15 [95% CI, 1.54-3.00]; P<0.001), whereas it was not predictive of major adverse cardiac events in patients with MB (HR, 2.29 [95% CI, 0.93-5.65]; P=0.073). In patients with ANOCA and MB, impaired RRR was superior to impaired CFR in distinguishing patients at a higher risk of future adverse events, suggesting that RRR may serve as a risk stratification tool in patients with MB and ANOCA.

The association between vitamin E intake and hepatic steatosis in general and obese populations

PurposeUsing data from the National Health and Nutrition Examination Survey (NHANES) and employing Controlled Attenuation Parameter (CAP) measures, this study explores the correlation between vitamin E (VE) intake and hepatic steatosis and its impact on different subsets.Materials and methodsWe selected 5757 participants with CAP data from the 2017–2020 NHANES dataset. Daily VE intake was assessed by a 24-hour dietary recall. Hepatic fat content was quantified using transient elastography to measure CAP. Stratified multivariable regression analysis investigated relationships in different subsets, and a generalized additive model identified nonlinear relationships and thresholds.ResultsAfter adjusting for confounders, higher VE intake correlated with lower CAP levels. Subgroup analyses and tests for interaction revealed a significantly stronger negative correlation between VE intake and CAP in obese individuals. Further analysis indicated a curvilinear relationship between VE intake and the severity of liver fat degeneration in both the general study population and the obese subgroup, demonstrating a threshold effect. In the general population, VE intake below the threshold (6.58 mg/day) is positively correlated with CAP levels, whereas intake above this threshold shows a negative correlation. For obese individuals, the threshold is set at 7.37 mg/day, above which the negative correlation with CAP is even more pronounced.ConclusionOur study revealed a negative correlation between VE intake and hepatic fat content, highlighting the potentially crucial role VE plays in obese fatty liver patients. Importantly, we identified threshold effects of VE intake in both general and obese populations. Our results support clinical nutritional interventions, personalized dietary guidance, and the development of drugs to combat fatty liver.

Towards Robust Colour Texture Analysis with Limited Training Data

Texture analysis plays an important role in different domains of healthcare, agriculture, and industry, where multi-channel sensors are gaining more attention. This contribution presents an interpretable and efficient framework for texture classification and segmentation that exploits colour or channel information and does not require much data to produce accurate results. This makes such a framework well-suited for medical applications and resource-limited hardware. Our approach builds upon a distance-based generalized matrix learning vector quantization (GMLVQ) algorithm. We extend it with parametrized angle-based dissimilarity and introduce a special matrix format for multi-channel images. Classification accuracy evaluation of various model designs was performed on VisTex and ALOT data, and the segmentation application was demonstrated on an agricultural data set. Our extension of parametrized angle dissimilarity measure leads to better model generalization and robustness against varying lighting conditions than its Euclidean counterpart. The proposed matrix format for multichannel images enhances classification accuracy while reducing the number of parameters. Regarding segmentation, our method shows promising results, provided with a small class-imbalanced training data set. Proposed methodology achieves higher accuracy than prior work benchmarks and a small-scale CNN while maintaining a significantly lower parameter count. Notably, it is interpretable and accurate in scenarios where limited and unbalanced training data are available.

Minimum magnitude boundaries in probabilistic seismic hazard analysis: an insight from structural engineering

In order to systematically advance our understanding of the minimum magnitude limit (Mmin) in the probabilistic seismic hazard analysis (PSHA) calculations, a novel and useful approach utilising a broad range of Single-Degree-of-Freedom oscillators and hazard conditions is being developed and tested. We have determined the most reasonable Mmin value for a variety of structures by examining the impact of Mmin on the mean annual frequency (MAF) of various limit states (LSs) (including the collapse capacity). The originality of the suggested methodology in the current work, known as the MAF saturation strategy, is the recommended Mmin, which is the cut-off value at which lesser magnitude events do add to the hazard but do not significantly change the MAF. The current work is the first to offer the MAF saturation strategy methodology, which searches for the cut-off magnitude at which the MAF value essentially remains constant even when smaller values of this cut-off are utilised as Mmin for hazard assessments. Therefore, given a series of carefully chosen ground motions in each oscillator instance, an incremental dynamic analysis is carried out (by applying the Hunt and Fill algorithm), and the appropriate LS (including the collapse capacity defined as global instability) points are calculated. Thus, the relationship between the distribution of LSs and the Engineering Demand Parameter and intensity measure is found. A simple point source hazard curve is convoluted with this distribution, yielding the structure-specific MAF. In order to find the cut-off lower magnitude (Mmin), this convolution is repeated for several Mmin values. This cut-off is defined as the point at which, when lower values are utilised as Mmin in the PSHA computation, the MAF’s values do not change considerably (with a five per cent threshold). The acquired data were thoroughly discussed in relation to various structural features and seismic input factors. The primary findings showed that each of the structures under consideration requires a Mmin value in the range of 4–4.3. Put otherwise, the suggestions seen in technical literature, which range from 4.5 to 5, are not cautious, at least not when it comes to probabilistic structural limit state frequency. The derived Mmin value is mostly controlled by the natural period of the structure and is largely unaffected by other structural characteristics like ductility, damping ratio and overstrength factor.

THE SCALE SIMULATION APPLICATION IN THE MILITARY VEHICLES ARMORING

The armoring of the civilian vehicles during martial law requires the search for new parameters selecting methods that provide the required indicators of dynamic properties. The additional armored sheets installation on ordinary civilian vehicles leads to the weight increase, the center of mass position change and dynamic properties deterioration. Therefore, the ordinary civilian vehicles armoring can also be considered from the perspective of large-scale modeling. One of the ways to ensure the necessary dynamic indicators of the ordinary civilian vehicles when armoring is to use the theory of large-scale modeling due to the use of the mass scale as the main scale. In the study, using the theory of similarity, a system of scale coefficients was developed for choosing the main design parameters of armored vehicles. The dependences of engine power, wheel diameter and rigid suspension and tires, engine and transmission torques on the car reservation coefficient are obtained. The value of the indicator of the relevant parameters of the vehicle degree is given. The higher the degree indicator, the higher the sensitivity of the vehicle parameter to increase when armoring. It was determined that different physical (mechanical) quantities have different sensitivity to the increase in the weight of the vehicle. The greatest sensitivity is the value of the engine torque, and the least is the linear dimension. These dependencies can be used in the process of designing a car armoring. In addition, it was determined that there is a relationship between the maximum permissible parameter measurement error during dynamic tests of full-scale models and the maximum permissible parameter measurement error during full-scale machine testing. Іmproved requirements for the dynamic parameters measurement accuracy during armored vehicles tests are considered. During armored vehicles tests, the maximum permissible error of dynamic parameters measuring increases, which makes it possible not to use more complex measuring and recording equipment.

Artificial intelligence automatic measurement technology of lumbosacral radiographic parameters.

Currently, manual measurement of lumbosacral radiological parameters is time-consuming and laborious, and inevitably produces considerable variability. This study aimed to develop and evaluate a deep learning-based model for automatically measuring lumbosacral radiographic parameters on lateral lumbar radiographs. We retrospectively collected 1,240 lateral lumbar radiographs to train the model. The included images were randomly divided into training, validation, and test sets in a ratio of approximately 8:1:1 for model training, fine-tuning, and performance evaluation, respectively. The parameters measured in this study were lumbar lordosis (LL), sacral horizontal angle (SHA), intervertebral space angle (ISA) at L4-L5 and L5-S1 segments, and the percentage of lumbar spondylolisthesis (PLS) at L4-L5 and L5-S1 segments. The model identified key points using image segmentation results and calculated measurements. The average results of key points annotated by the three spine surgeons were used as the reference standard. The model's performance was evaluated using the percentage of correct key points (PCK), intra-class correlation coefficient (ICC), Pearson correlation coefficient (r), mean absolute error (MAE), root mean square error (RMSE), and box plots. The model's mean differences from the reference standard for LL, SHA, ISA (L4-L5), ISA (L5-S1), PLS (L4-L5), and PLS (L5-S1) were 1.69°, 1.36°, 1.55°, 1.90°, 1.60%, and 2.43%, respectively. When compared with the reference standard, the measurements of the model had better correlation and consistency (LL, SHA, and ISA: ICC = 0.91-0.97, r = 0.91-0.96, MAE = 1.89-2.47, RMSE = 2.32-3.12; PLS: ICC = 0.90-0.92, r = 0.90-0.91, MAE = 1.95-2.93, RMSE = 2.52-3.70), and the differences between them were not statistically significant (p > 0.05). The model developed in this study could correctly identify key vertebral points on lateral lumbar radiographs and automatically calculate lumbosacral radiographic parameters. The measurement results of the model had good consistency and reliability compared to manual measurements. With additional training and optimization, this technology holds promise for future measurements in clinical practice and analysis of large datasets.