Analysis Of Variance Method Research Articles

Sustainable Cutting Environment Evaluation for Drilling of Aluminum A380 Foam Produced by Semisolid Recycling

The development of sustainable cooling technologies and increased concern for recycled materials will affect the reduction of greenhouse gas emissions, which primarily originate from the production industry. In this research paper, a twofold contribution to sustainability is made through the efficient application of a workpiece, obtained by recycling waste in the form of metal chips, and the machining of the obtained workpiece by using alternative cooling techniques comparing them to cutting fluids. Minimum quantity lubrication and cold compressed air cooling were selected as two sustainable, alternative cutting environments. Using Taguchi’s L9 orthogonal array, the influence of cutting speed, feed rate and cutting environment on drilling thrust force, built-up edge formation and hole deviation was observed. Using the analysis of variance method, feed rate was identified to have the highest influence on the output parameters (31%), followed by cooling and lubrication techniques (18%) and lastly by cutting speed (5%). Based on the grey relation analysis, optimal controllable factors were identified. This analysis indicated that low cutting speeds and feed rates, coupled with the MQL cutting environment, produced the lowest thrust force, deviation of hole and built-up edge formation.

Digitized Seedbed Soil Quality Assessment from Worn and Edge Hardened Cultivator Sweeps.

Tillage tools for seedbed soil management are often subjected to low stress abrasion wear, which could negatively affect seedbed quality and crop productivity. Limited studies exist that quantify the effects of worn tillage tools on seedbed quality and crop yield. This research investigated the influence of tillage tool wear on seedbed preparation by evaluating the effect of cultivator sweep wear on soil tilth utilizing a light detection and ranging (LiDAR) sensor. The framework consists of a seedbed tillage field experiment using a Completely Randomized Design (CRD) experiment in six replicates of two-tillage treatments (new and worn cultivator sweeps). After seedbed tillage, loosely tilled soil aggregates were removed to expose the seedbed soil profile, and then seedbed roughness statistical measures were estimated from LiDAR-scanned seedbed soil surface. Three statistical analyses (Analysis of Variance (ANOVA), Kolmogorov-Smirnov (KS), and Earth Mover's Distance (EMD)) were compared to quantitatively evaluate the soil roughness estimated from the LiDAR seedbed surface data. Seedbed prepared by new and worn cultivator sweeps showed significant differences (p < 0.05) in soil roughness variables of standard deviation, coefficient of variation, and kurtosis. Data analysis from the ANOVA and KS methods revealed that LiDAR-extracted soil roughness patterns were statistically influenced by tillage treatment. EMD analysis detected noticeable disparities between the tillage treatments and new versus worn cultivator sweeps. This study concludes that tillage tool wear substantively affects seedbed quality, as evidenced by LiDAR soil profile estimated attributes of soil roughness and three statistical methods (ANOVA, KS, and EMD). Our study supports the adoption of LiDAR technology for seedbed management, highlighting its applicability to evaluate seedbed quality that accounts for the wear life cycle of cultivator sweeps.

Safety and outcomes with use of FlowTriever for mechanical thrombectomy i n acute pulmonary embolism

Objectives: Mortality in the pulmonary embolism (PE) risk categories has historically been reported between 30% and 40% in high-risk and &lt;15% in intermediate-risk group. In those who survive, there is a high rate of morbidity with dyspnea and exercise intolerance. Advanced therapies with a favorable safety profile have the potential to improve outcomes. We present the largest single-center data set studied to-date for safety, mortality, and outcomes post-mechanical thrombectomy including functional assessment 3 months post-discharge. Material and Methods: We analyzed retrospective database of patients with PE undergoing catheter directed mechanical thrombectomy (CDMT). We report clinical characteristics and outcomes stratified by PE risk categories. Comparison in the groups has been made using analysis of variance method. Results: A total of 365 patients were evaluated in the CDMT group. Among these 81 (22%) presented with high-risk and 261 (71%) with intermediate-risk PE. The average age at diagnosis was 61 ± 17 years with male-to-female distribution ratio of 1.2. Most common risk factors being reduced mobility (18%), malignancy (15%), recent surgery (13%), and hormonal therapy (12%). Mortality within 30 days of PE diagnosis was 8.6% (7/81) in high-risk, 1.7% (4/230) in intermediate-high-risk groups. There were no deaths in intermediate-low and low-risk group post-CDMT. Before thrombectomy, 349 (95%) patients had right heart strain, 307 (84%) had elevated troponin, and 197 (54%) had elevated B-type natriuretic peptide. Post-procedure echocardiogram at 3 month revealed improvement in the right ventricular (RV) fractional area change (27.53 ± 10.38% to 39.73 ± 8.3%, P &lt; 0.01), tricuspid annular plane systolic excursion (10.9 ± 8.3 mm to 21.81 ± 4.75 mm), and RV systolic pressure (43.96 ± 14.48 mmHg to 28.47 ± 7.88 mmHg, P &lt; 0.01). At 3 months post-thrombectomy, the majority (74%) of the patients fell into non-to-negligible functional limitation. Conclusion: We present a descriptive analysis of outcomes including improved mortality, and functional assessment of patients undergoing CDMT.

Using mathematical models in the assessment of the circulatory system in employees working under harmful occupational conditions

Introduction. According to the results of medical examinations of metallurgists, in the structure of newly identified somatic morbidity, circulatory system diseases (CSD) are one of the leading pathologies. To assess the prevalence of CSD in workers in harmful working conditions, it is possible to use various mathematical solutions as a tool. The objective of the study was to substantiate the possibility of using variance analysis and classification tree (CT) methods to assess the prevalence of circulatory diseases in industrial workers. Materials and methods. Data of medical examinations and a questionnaire-based survey of three hundred eight workers of steel production were input into a database. The interrelationship between CSD and individual and occupational risk factors was examined using a one- and two-way ANOVA. The classification tree method was used for a multivariate analysis. Results. The one- and two-way ANOVA revealed a statistically significant correlation between the CSD family history (p=0.001) and age, years of occupational exposure, overweight, blood glucose level, total cholesterol (p&lt;0.05) and the CSD prevalence in the steel workers. We applied the classification tree method to make decisions on referring the subjects to potentially “healthy” and “sick” workers by determining the CSD prevalence in relation to various combinations of risk factors. Limitations. This study is limited to the results of medical examinations of the workers collected over a one-year period. Conclusions. Our experience in using the analysis of variance and classification tree to evaluate the CSD prevalence in ferrous industry employees allows recommending them for use in assessing the prevalence of various diseases in workers exposed to occupational hazards.

Lotus growth and development in artificial water bodies in the conditions of the Stavropol Upland

Relevance. The creation of a botanical collection of the lotus family made it possible to study the biology and adaptive features of a rare relict species of Nelumbo nucifera and its variety in the conditions of the Stavropol Upland.Methods. The main phases of development (the beginning of growth, budding, flowering) were recorded. Statistical processing was carried out by the method of variance analysis according to G.N. Zaitsev.Results. In 2010, Nelumbo nucifera seeds were purchased from the Volga River Delta and planted in a 100-liter container, which was located in a closed ground. From 2010 to 2014, the plant vegetated every year from the second decade of January to November, in November, vegetation was artificially stopped. With such agricultural techniques, the plant had no flowering and fruiting phases. In June 2014, rhizomes were planted and lotus seeds were sown in a pond made of butyl rubber film. In 2017, the first flowering was observed. During the study period, the plants did not reach natural indicators, on average, the diameter of the leaves is less by 18.5 ± 1.6 cm, the flowers are 2 ± 0.1 cm, the height is 1.0–1.5 m. The duration of flowering is 57 ± 4 days, which corresponds to the natural conditions of lotus growth from mid-July to early September. During the years of research, 495 seeds were obtained. Under the influence of abiotic factors, the nut-bearing lotus lives up to 8 years in the botanical garden. Nelumbo nucifera Betsy grows intensively, flowering occurred in the third year after sowing, leaf diameter 57 ± 3 cm, height above the water surface 78 ± 7 cm, flowering duration 73 ± 7 days, which is longer than that of the nut-bearing lotus, full-fledged seeds are formed.

Analysis of the structure and trend prediction of China's total health expenditure.

In the context of rapid economic and social development, there has been a continuous intensification of population aging, transformation of disease patterns, and wide application of new medical technologies. As a result, health expenditures in various countries have sharply soared. How to utilize limited medical resources to maximize the improvement of health levels has become a hot and challenging issue related to the well-being of all humanity. The relevant indicators of total health expenditure play a crucial role in monitoring and evaluating the fairness of health financing and health security in the region. This study explores the changes in the main expenses that constitute China's total health expenditure and uses indicators related to health expenditure to observe the changes and future development trends of China's health expenditure. Based on this, the utilization of China's health expenditure is monitored to identify possible problems, and thereby targeted suggestions for promoting the development of China's health and wellness cause are put forward. Based on the comparison of previous literature, this paper analyzes the changes and future development trends in China's health expenditure by using the relevant indicators of China's health expenditure through the structural variation analysis method and the gray prediction model. The results show that the scale of government, social, and out-of-pocket health expenditures has continuously expanded, with social health expenditures becoming the main funding source for total health expenditures. The burden of medical expenditures on individuals has been further reduced. In the institutional method of total health expenditures, hospital expenditures account for about 60% of the total and are the main component. The expenditures of health administration and medical insurance management institutions are the main driving force behind the growth of total health expenditures. However, the proportion of health expenditures in China's GDP is relatively low, so more investment is needed in the healthcare sector, and the burden of individual medical expenses also needs to be continuously reduced. In the future, China should further increase its investment in the medical and health sector. Specifically, the government should persist in investing in fundamental medical and health services. Simultaneously, efforts should be made to establish a scientific cost control mechanism for pharmaceuticals and broaden financing channels for healthcare, such as accelerating the development of commercial health insurance.

The study of design and optimisation for CFRP combined pier anti-collision device

A CFRP honeycomb combination anti-collision device with a larger anti-collision level, greater crashworthiness, and longer service life was designed to safeguard the ship and piers in the event of an unintentional collision. Taking large-tonnage cargo ships and common bridge piers in the middle reaches of the Yangtze River as the research objects, the energy conversion response, impact force response and impact depth response of the collision were studied considering the collision conditions between the ship and the bare pier and the collision avoidance device. On this basis, the response surface method, variance analysis method and efficacy coefficient method were further used to take the shell thickness of the collision avoidance device and the thickness of the internal steel structure as the design parameters. The multi-objective optimisation design of the CFRP composite anti-collision device is carried out by selecting the ship impact force, the total internal energy absorbed by the anti-collision device, the total mass, and the inner diameter of the honeycomb steel structure as the optimisation objectives. The results show that the impact force reduction rate reaches 82.7%, the overall mass is greatly reduced, the maximum deformation is within a reasonable range, and the collision resistance is optimised.

Deriving Ritz formulation for the Static Flexural Solutions of Sinusoidal Shear Deformable Beams

This paper presents the Ritz variational method for the static bending analysis of sinusoidal shear deformable beams. The theory accounts for transverse shear deformation and satisfies transverse shear stress-free conditions at the top and bottom surfaces of the beam. The total potential energy functional for the thick beam bending problem is formulated and minimized using a Ritz procedure. The problem considered simply supported boundary conditions and two cases of loading – uniformly distributed load over the span and point load at the center. The function is a function of two unknown displacement functions constructed in terms of unknown generalized displacement parameters and shape functions that satisfy the boundary conditions. Ritz minimization of the functional is used to find the generalized displacement parameters and then the displacements w(x) and The displacements and stresses are found for the loading distributions considered. It is found that the results obtained agree remarkably well with the exact results obtained using the theory of elasticity. The differences between the present results and the exact solutions are less than 0.3% for maximum transverse displacement for both cases of loading considered. For uniform load over the beam, the result for l/t = 10 is 0.112% greater than the exact solution. For the point load at the center, the result for l/t = 10 is 4.468% greater than the exact solution. The increased difference in the point load case is due to the singular nature of the point load problem.

Improving data interpretability with new differential sample variance gene set tests.

Gene set analysis methods have played a major role in generating biological interpretations from omics data such as gene expression datasets. However, most methods focus on detecting homogenous pattern changes in mean expression and methods detecting pattern changes in variance remain poorly explored. While a few studies attempted to use gene-level variance analysis, such approach remains under-utilized. When comparing two phenotypes, gene sets with distinct changes in subgroups under one phenotype are overlooked by available methods although they reflect meaningful biological differences between two phenotypes. Multivariate sample-level variance analysis methods are needed to detect such pattern changes. We use ranking schemes based on minimum spanning tree to generalize the Cramer-Von Mises and Anderson-Darling univariate statistics into multivariate gene set analysis methods to detect differential sample variance or mean. We characterize these methods in addition to two methods developed earlier using simulation results with different parameters. We apply the developed methods to microarray gene expression dataset of prednisolone-resistant and prednisolone-sensitive children diagnosed with B-lineage acute lymphoblastic leukemia and bulk RNA-sequencing gene expression dataset of benign hyperplastic polyps and potentially malignant sessile serrated adenoma/polyps. One or both of the two compared phenotypes in each of these datasets have distinct molecular subtypes that contribute to heterogeneous differences. Our results show that methods designed to detect differential sample variance are able to detect specific hallmark signaling pathways associated with the two compared phenotypes as documented in available literature. The results in this study demonstrate the usefulness of methods designed to detect differential sample variance in providing biological interpretations when biologically relevant but heterogeneous changes between two phenotypes are prevalent in specific signaling pathways. Software implementation of the developed methods is available with detailed documentation from Bioconductor package GSAR. The available methods are applicable to gene expression datasets in a normalized matrix form and could be used with other omics datasets in a normalized matrix form with available collection of feature sets.

Proximate Analysis and Digestibility of Modified Corn Flour

Abstract: The quality of corn flour can improve through a modification process. The modification method that can be done to improve the characteristics of corn flour is through a controlled fermentation process accompanied by pregelatinization. This study aims to determine the effect modification of corn flour by spontaneous fermentation, controlled fermentation using Lactobacillus fabifermentans or Aspergillus sp culture and mixed culture of L. fabifermentans and Aspergillus sp (1:3) followed by pregelatinization at 80ºC for 15 minutes. The treatment variables in this study were spontaneous fermentation, controlled fermentation using single cultures of L. fabifermentans or Aspergillus sp., and mixed cultures of these microbes with a ratio of 1:3. This study consisted of 4 treatments with three groups each. This research is an experimental study using Randomized Block Design (RBD). Observation variables in this study were proximates tests (moisture content, ash, protein, fat, and carbohydrates) and starch digestibility. The data were processed using the SPSS version 22 program, with the method analysis of variance (ANOVA), and continued with Duncan’s Multiple Range Test (DMRT). The results of variance analysis from spontaneous fermentation treatments, single culture fermentation of L. fabifermentans or Aspergillus sp, and mixed cultures of L. fabifermentans and Aspergillus sp (1:3) gave significant effect on moisture content, fat, carbohydrates, and starch digestibility of modified corn flour. The best-modified corn flour was obtained by controlled fermentation treatment using L. fabifermentans followed by pregelatinization with characteristics of moisture content 14.46%, ash 0.13%, protein 7.41%, fat 0.65%, carbohydrates 80.06%, and starch digestibility 87.15%.

Healthcare providers’ knowledge and attitudes about overdose prevention sites in Colorado

BackgroundOverdose prevention sites (OPS) are a harm reduction strategy that offer people who use drugs a variety of resources including but not limited to sterile supplies, linkage to healthcare resources, and intervention if an overdose occurs. OPS operate in over 120 countries and evidence has demonstrated they are an effective harm reduction strategy. Despite their success elsewhere, OPS remain federally illegal in the United States and thus there is limited research on their implementation and outcomes in the United States. This study aimed to identify Colorado healthcare providers’ knowledge and attitudes about OPS and determine if there is a correlation between healthcare providers with more knowledge about OPS having a more positive attitude about OPS.MethodsAn electronic survey was distributed to healthcare providers in Colorado. Responses were collected in early 2022 and recorded on a 5-point Likert scale. Mean scores between 1 and 5 were calculated for each participant and analysis of variance methods were used to determine correlating demographic factors. A p value of ≤ 0.05 was used to determine statistical significance of all findings.ResultsThis study included 698 participants. A Pearson correlation analysis revealed a strong positive relationship (r = 0.76, p < 0.0001) between provider knowledge and attitudes about OPS. Emergency medicine providers scored the highest in mean knowledge and attitude scores in comparison to all other specialties. Respondents affiliated with a harm reduction center exhibited the highest mean knowledge and attitude scores. Mean knowledge and attitude scores generally rose with respondents’ increasing encounters with people who inject drugs in a typical workday, except when reaching nine or more encounters, where a sharp decline occurred.ConclusionsOur study highlights the importance of education, exposure to harm reduction strategies, and inter-specialty collaboration in shaping healthcare providers’ knowledge and attitudes about OPS. The positive correlation between providers’ knowledge and attitudes about OPS suggests that educating healthcare providers on harm reduction strategies, specifically OPS, may lead to reduced stigmatization of OPS among healthcare professionals.

Agricultural Economic Water Productivity Differences across Counties in the Colorado River Basin

This study estimates the relative contribution of different factors to the wide variation in agricultural economic water productivity (EWP) across Colorado River Basin counties. It updates EWP measures for Basin counties using more detailed, localized data for the Colorado River mainstem. Using the Schwarz Bayesian Information Criterion for variable selection, regression analysis and productivity accounting methods identified factors contributing to EWP differences. The EWP was USD 1033 (USD 2023)/acre foot (af) for Lower Basin Counties on the U.S.–Mexico Border, USD 729 (USD 2023)/af for other Lower Basin Counties, and USD 168 (USD 2023)/af for Upper Basin Counties. Adoption rates for improved irrigation technologies showed little inter-county variation and so did not have a statistically significant impact on EWP. Counties with the lowest EWP consumed 25% of the Basin’s agricultural water (&gt;2.3 million af) to generate 3% of the Basin’s crop revenue. Low populations/remoteness and more irrigated acreage per farm were negatively associated with EWP. Warmer winter temperatures and greater July humidity were positively associated with EWP. When controlling for other factors, being on the Border increased a county’s EWP by USD 570 (2023 USD)/af. Border Counties have greater access to labor from Mexico, enabling greater production of high-value, labor-intensive specialty crops.

Measurement and evaluation of the flashover voltage on polluted cap and pin insulator: An experimental and theoretical study

This study investigates the flashover voltage on high voltage insulators in polluted environments, employing a combination of experimental and theoretical approaches. Utilizing Analysis of Variance (ANOVA) and the Finite Element Method (FEM), the research aims to offer a thorough comprehension of the phenomenon. The experimental aspect of the study involves subjecting insulators to polluted environments, replicating real-world scenarios, and measuring the resulting flashover voltages. This experimental study focuses on investigating flashover pollution, where artificial pollution is introduced into an experimental model. An observational approach is employed to assess the impact of conductivity and pollution distribution on the 1512 L cap and pin insulator, as well as its proposed experimental model. Complementing the experimental approach, the theoretical aspect of the study employs the FEM method to simulate and model the insulator's behaviour under pollution. This computational technique enables a detailed analysis of the electrical field distribution, surface potential, and stress repartition across the surface of the insulator. Simulations further explore the impact of pollution on flashover voltage and leakage current. The FEM results are then compared with experimental findings to validate the model's accuracy and reliability. By analyzing the collected data, the ANOVA technique is applied to identify significant differences in flashover voltage under diverse pollution levels. This statistical approach allows for the determination of the most influential factors affecting insulator performance. This research offers valuable insights into the influence of flashover voltage on high-voltage insulators in polluted environments, contributing to the development of more robust and efficient insulation systems. The combination of ANOVA and FEM methods provides a robust framework for understanding and predicting insulator performance, ultimately benefiting the power industry and promoting energy sustainability.

Development of DNA Insertion-specific Markers Based on the Intron Region of Oplegnathus punctatus itih4b for Genetic Sex Identification.

Spotted knifejaw (Oplegnathus punctatus) is a significant marine fish species that exhibits pronounced sexual dimorphism, with males generally exhibiting greater weight and growth rates than females. Therefore, the farming of O. punctatus with a high proportion of males is beneficial for improving the quality and efficiency of the O. punctatus aquaculture industry. Furthermore, the development of a rapid technique in sexing O. punctatus fry will facilitate the selection and breeding of superior male varieties of O. punctatus. In this study, genome-wide scanning, comparative genomics, and structural variation analysis methods were employed to identify and extract the homologous region of the inter-alpha-trypsin inhibitor heavy chain 4 (itih4b) gene on the X and Y chromosomes from the complete genome sequence of O. punctatus. This analysis revealed the presence of a large segment of DNA insertion markers on the Y chromosome in the region. Itih4b plays an important role in the mechanisms that regulate inflammatory and immune responses in multicellular organisms. The method described here involved the design of a pair of primers to amplify two bands of 532bp and 333bp in males (individuals with DNA insertion variants in the intron of the itih4b gene). In females (individuals without DNA insertion), only one band of 333bp could be distinguished by agarose gel electrophoresis. This method shortened the time required to accurately characterize intronic DNA insertion variants and genetic sexes in O. punctatus, thereby improving detection efficiency. This study has significant value for the large-scale breeding of O. punctatus all-male seedlings and provides a reference point for the study of intron variation regulation and RNA shearing in the itih4b gene.

Increased heart rate fragmentation in those with Williams-Beuren syndrome suggests nonautonomic mechanistic contributors to sudden death risk.

Williams-Beuren syndrome (WBS) is a rare genetic condition caused by a chromosomal microdeletion at 7q11.23. It is a multisystem disorder characterized by distinct facies, intellectual disability, and supravalvar aortic stenosis (SVAS). Those with WBS are at increased risk of sudden death, but mechanisms underlying this remain poorly understood. We recently demonstrated autonomic abnormalities in those with WBS that are associated with increased susceptibility to arrhythmia and sudden cardiac death (SCD). A recently introduced method for heart rate variability (HRV) analysis called "heart rate fragmentation" (HRF) correlates with adverse cardiovascular events (CVEs) and death in studies where heart rate variability (HRV) failed to identify high-risk subjects. Some argue that HRF quantifies nonautonomic cardiovascular modulators. We, therefore, sought to apply HRF analysis to a WBS cohort to determine 1) if those with WBS show differences in HRF compared with healthy controls and 2) if HRF helps characterize HRV abnormalities in those with WBS. Similar to studies of those with coronary artery disease (CAD) and atherosclerosis, we found significantly higher HRF (4 out of 7 metrics) in those with WBS compared with healthy controls. Multivariable analyses showed a weak-to-moderate association between HRF and HRV, suggesting that HRF may reflect HRV characteristics not fully captured by traditional HRV metrics (autonomic markers). We also introduce a new metric inspired by HRF methodology, significant acute rate drop (SARD), which may detect vagal activity more directly. HRF and SARD may improve on traditional HRV measures to identify those at greatest risk for SCD both in those with WBS and in other populations.NEW & NOTEWORTHY This work is the first to apply heart rate fragmentation analyses to individuals with Williams syndrome and posits that the heart rate fragmentation parameter W3 may enable detection and investigation of phenomena underlying the proarrhythmic short-long-short RR interval sequences paradigm known to precede ventricular fibrillation and ventricular tachycardia. It also forwards a novel method for quantifying sinus arrhythmia and sinus pauses that likely correlate with parasympathetic activity.

Analysis of the Relationships between Variables and Their Applications in the Energy Saving Field

Energy saving is an important measure to promote social green transformation. The traditional energy-saving ideas usually only focus on a specific loss, and seldom consider the possible relationship and influence among various losses. In relatively complex energy-using systems, there are often many kinds of losses, and each loss may have many influencing factors. There may be some relationship between these losses and the influencing factors. To solve this problem, this paper presents an analysis method of the variable association in multi-variable systems. First, the basic relationships between variables and the representation methods are discussed. The basic concept of a path between variables is given, and the analysis method of variable association based on path statistics is provided. This paper focuses on the analysis of the influencing factors and paths of the observed variables, as well as which observed variables will be affected by a control variable. Then, based on the correlation matrix, the quantitative analysis method of the influence between variables is given. Variable correlation analysis is innovatively applied in the field of energy saving to determine the correlation of losses through variable associations, guiding the preliminary screening of energy-saving measures and analyzing the collateral effects of these measures. Based on the correlations between energy losses, a scientific process for formulating energy-saving measures is proposed. The variable correlation analysis method proposed in this paper is a generalized method, which can judge the correlation between variables from the perspective of theoretical analysis and avoid the dependence on data. In addition to good applications in the field of energy conservation, it can also be widely used in construction, transportation, climate change, and other fields. The proposed energy-saving ideas take into account the intensity of influencing factors on loss and the correlation between loss, which improves the effectiveness of energy saving measures.

Pre-operative prediction of histopathological growth patterns of colorectal cancer liver metastasis using MRI-based radiomic models.

Histopathological growth patterns (HGPs) of colorectal liver metastases (CRLMs) have prognostic value. However, the differentiation of HGPs relies on postoperative pathology. This study aimed to develop a magnetic resonance imaging (MRI)-based radiomic model to predict HGP pre-operatively, following the latest guidelines. This retrospective study included 93 chemotherapy-naïve patients with CRLMs who underwent contrast-enhanced liver MRI and a partial hepatectomy between 2014 and 2022. Radiomic features were extracted from the tumor zone (RTumor), a 2-mm outer ring (RT+2), a 2-mm inner ring (RT-2), and a combined ring (R2+2) on late arterial phase MRI images. Analysis of variance method (ANOVA) and least absolute shrinkage and selection operator (LASSO) algorithms were used for feature selection. Logistic regression with five-fold cross-validation was used for model construction. Receiver operating characteristic curves, calibrated curves, and decision curve analyses were used to assess model performance. DeLong tests were used to compare different models. Twenty-nine desmoplastic and sixty-four non-desmoplastic CRLMs were included. The radiomic models achieved area under the curve (AUC) values of 0.736, 0.906, 0.804, and 0.794 for RTumor, RT-2, RT+2, and R2+2, respectively, in the training cohorts. The AUC values were 0.713, 0.876, 0.785, and 0.777 for RTumor, RT-2, RT+2, and R2+2, respectively, in the validation cohort. RT-2 exhibited the best performance. The MRI-based radiomic models could predict HGPs in CRLMs pre-operatively.

School or home: Exploring the impact of digital infrastructure on digital literacy of school-age young people in a developing economy

Digital literacy plays a very important role for a developing innovative economy, since one of the global trends significantly affecting the dynamics of open innovation is strengthening of the influence of digital technologies on all spheres of society. This paper seeks to study the impact of digital infrastructure on digital literacy of school-age young people, which starts and develops both at school and/or at home. This paper uses a balanced panel of statistical data that includes 18 regions of Kazakhstan surveyed for the period between 2016 and 2022 on four indicators: the level of digital literacy in Kazakhstan, the share of households with Internet access, the share of Internet users aged 6-15, and the number of students per PC in public schools. Methods of correlation, variance, and structural model analysis proposed hereby consist of successive stages and include five hypotheses for verification. The results have shown that (a) the literature has not accumulated a unified methodology for assessing digital literacy yet; (b) digital infrastructure in Kazakhstan’s public schools has been found to have a negligible impact on formation of digital literacy, as well as on the increase in the number of school-age Internet users; (c) the number of young school-age Internet users have been found to have a positive effect on formation of digital literacy in Kazakhstan; (d) access to the Internet at home has been found to have a significant stable impact on digital literacy in Kazakhstan and an increase in the share of young school-age Internet users. This paper is intended for decision makers, researchers, education and open innovation experts interested in opportunities for the development of citizens’ digital skills and competencies and the implementation of an open innovation economy strategy.

AGE-RELATED DIFFERENCES IN THE DEVELOPMENT OF MOTOR ABILITIES IN VOLLEYBALL

There are a large number of publications related to conditioning in volleyball and in general. However, a very small part of them are related to the development of motor abilities in an age aspect. Such a study would be very difficult to implement, but at the same time, it would be beneficial in terms of the selection and sports orientation of youth volleyball. Volleyball as a sport has developed extremely dynamically in recent years, which makes it even more demanding in terms of fitness. The basic skills necessary for successful implementation in sports are complex and based on the athletes' ability to jump, sprint, and hit. From this point of view, the interest in this research was dictated, with the primary goal of determining the values of the main signs related to the volleyball game and compiling normative tables for control and assessment of preparedness. The research tasks also arise from the goal set in this way. To investigate the differences in the main essential characteristics of the volleyball game regarding age. To propose standards of control and evaluation. The methods we used to solve the problems are anthropometry, chronometry, tensiometry, speedometry, and mathematical-statistical methods (frequency, variation analysis, and sigma method). Results: The most significant increase in women was observed in the results of the jump tests and the speed of the serve (over 20 %) and smaller within 10% in the running tests. We attribute these results to the fact that the listed movements emphasize the training and competition process. Based on the obtained results, norms for evaluating the readiness of the contestants have been drawn up.

Blast-resistance characteristics and design of steel wire reinforced ultra-high performance concrete slabs

Steel wire reinforced ultra-high performance concrete (SWRUHPC) offers exceptional resistance to impacts and blast, making it a promising construction material for infrastructure with blast-resistance demands. However, limited research has been conducted on the blast-resistance characteristics and design of SWRUHPC elements under blast loading, particularly in considering multiple influencing parameters and levels. Therefore, this study employed finite element simulation methods to investigate the influence of scaled distance (Z), reinforcement ratio (ρ) and slab thickness (D) as well as slab length (L) on the failure mode and maximum deflection of SWRUHPC slabs. Range analysis and variance analysis methods were used to quantitively analyze the effects of various factors on the blast resistance performance, culminating in the proposal of a design formula for SWRUHPC slabs. The results demonstrated that SWRUHPC exhibits superior blast resistance compared to ordinary concrete, effectively reducing the occurrence of concrete spalling and splashing, thus enhancing overall structural resilience in blast scenarios. Among the four factors analyzed, their influence on maximum deflection follows this order: D > Z > ρ > L. Notably, the maximum deflection decreases by 82 % when the slab thickness increases from 40 mm to 90 mm. Additionally, the established design formula for SWRUHPC slabs under different scaled distances shows good agreement with the numerical simulation results, offering valuable design guidelines for SWRUHPC slabs in protective engineering structures.