Abstract Objectives Restless legs syndrome (RLS) is a disease from the spectrum of movement disorders, the prevalence of which increases significantly during pregnancy and is associated with poor sleep, a drop in daytime energy, and the development of psychological disorders during pregnancy and the postpartum period. Methods The IRLSS scale was used to determine the presence of RLS symptoms. The total test sample that included the tested and control groups was (n=390) subjects. The examined group consisted of pregnant women (n=260), and the control group consisted of female students (n=130). In total, 260 pregnant women were monitored 6 months after pregnancy. Three measurements were performed, first in the third trimester of pregnancy, second two months after delivery, third 6 months after delivery, while one cross-sectional measurement was performed for the control group. Results The prevalence of RLS in pregnancy is highest in the third trimester and amounts to 26.5 %. In the postpartum period, a significant decrease in the prevalence of RLS was observed, measured two months after delivery (18.1 %). Postpartum, over time, a decrease in the prevalence of RLS was noticed, and six months after delivery it was (7.3 %), when it practically approached the prevalence of the control group (standard population) which was (6.2 %). Conclusions The prevalence of RLS is highest during the third trimester of pregnancy and decreases after delivery so that 6 months after delivery it approaches the prevalence of the standard population.

Graphical abstract

This research explores the initial attitudes of special educators towards socially assistive robots (SAR) and considers how cultural and socioeconomic backgrounds shape these attitudes. Special educators providing services to individuals with autism spectrum disorder (ASD) in the United States and Serbia were surveyed, representing distinct cultural and socioeconomic contexts. Comparing their attitudes offers valuable insights into facilitating SAR adoption for ASD treatment across different cultural landscapes. Additionally, this study conducts a comparative analysis of cultural dimensions in the two countries to contextualize attitudes toward SAR use in ASD treatment. A nonexperimental quantitative approach was employed utilizing a cross-sectional survey design with purposive samples of special educators who provide services to individuals with ASD in the U.S. and Serbia to establish initial attitudes toward SARs. The outcomes derived from this investigation reflect the pervasive influence of the cultural contexts. Apprehension has been identified as a significant factor shaping attitudes toward SAR adoption among the Serbian cohort, while a more favorable disposition towards this technology typifies the U.S. participants. The adoption and utilization of SARs, as reported by participants in the U.S., face relatively fewer attitudinal barriers.

The main applications of civil explosives in soils are soil compaction, mass excavation, and in situ pile creation. The suitability of explosives for each of these applications strongly depends upon the explosive properties and the soil properties. For those reasons, a reliable estimation or process simulation regarding cost efficiency and explosive work ability in the soil with known soil parameters is relevant. This paper presents a numerical simulation study of different types of soil (different amounts of gravel, sand, silt, and clay) under a blast load modeled using Ansys 2020 R1 Autodyn 2D hydrocode, with different types of explosives. The calculated results from the Ansys 2020 R1 Autodyn 2D and the experimental results obtained from the in situ cavity formation caused by blasting are presented. The Jones–Wilkins–Lee (JWL) equation of state parameters was calculated using EXPLO5 V7.01.01 supported by experimental data, while the soil and explosive properties were measured in laboratory and in situ.

In the article, we use the subset sum formula over a finite abelian group on the product of finite groups to derive the number of restricted partitions of elements in the group and to count the number of compositions over finite abelian groups. Later, we apply the formula for the multisubset sum problem on a group $\mathbb{Z}_n$ to produce a new technique for studying restricted partitions of positive integers. 2020 Mathematics Subject Classification. 05A17, 11P81

With the ever-increasing number of polymer materials and the current number of commercially available materials, the polymer gear design process, regarding the wear lifetime predictions, is a difficult task given that there are very limited data on wear coefficients that can be deployed to evaluate the wear behavior of polymer gears. This study focuses on the classic steel/polymer engagements that result in a wear-induced failure of polymer gears and proposes a simple methodology based on the employment of optical methods that can be used to assess the necessary wear coefficient. Polymer gear testing, performed on an open-loop test rig, along with VDI 2736 guidelines for polymer gear design, serves as a starting point for the detailed analysis of the wear process putting into service a digital microscope that leads to the evaluation of the wear coefficient. The same wear coefficient, as presented within the scope of this study, can be implemented in a rather simple wear prediction model, based on Archard’s wear formulation. The developed model is established on the iterative numerical procedure that accounts for the changes in tooth flank geometry due to wear and investigates the surface wear impact on the contact pressure distribution to completely describe the behavior of polymer gears in different stages of their lifetime. Although a simple one, the developed wear prediction model is sufficient for most engineering applications, as the model prediction and experimental data agree well with each other, and can be utilized to reduce the need to perform time-consuming testing.

This paper investigates the rate of convergence of a certain mixed monotone rational second-order difference equation with quadratic terms. More precisely we give the precise rate of convergence for all attractors of the difference equation $x_{n+1}=\frac{Ax_{n}^{2}+Ex_{n-1}}{x_{n}^{2}+f}$, where all parameters are positive and initial conditions are non-negative.The mentioned methods are illustrated in several characteristic examples. 2020 Mathematics Subject Classification. 39A10, 39A20, 65L20.

According to Mitchelmore [1], generalisations are the cornerstone of school mathematics, covering various aspects like numerical generalisation in algebra, spatial generalisation in geometry and measurement, as well as logical generalisations in diverse contexts. The process of generalising lies at the heart of mathematical activity, serving as the fundamental method for constructing new knowledge [2, 3]. In this paper we will generalise an interesting geometry problem that appeared in the 1995 edition of the International Mathematical Olympiad (IMO) [4].

Who conducts biological research, where, and how the results are disseminated varies among geographies and identities. Identifying and documenting these forms of bias by research communities is a critical first step towards addressing them. We documented perceived and observed biases in movement ecology. Movement ecology is a rapidly expanding sub-discipline of biology, which is strongly underpinned by fieldwork and technology use. First, we surveyed attendees of an international conference, and discussed the results at the conference (comparing uninformed vs informed perceived bias). Although most researchers identified as bias-aware, only a subset of biases were discussed in conversation. Next, by considering author affiliations from publications in the journal Movement Ecology, we found among-country discrepancies between the country of the authors’ affiliation and study site location related to national economics. At the within-country scale, we found that race-gender identities of postgraduate biology researchers in the USA differed from national demographics. We discuss the role of potential specific causes for the emergence of bias in the sub-discipline, e.g. parachute-science or accessibility to fieldwork. Undertaking data-driven analysis of bias within research sub-disciplines can help identify specific barriers and first steps towards the inclusion of a greater diversity of participants in the scientific process.

Abstract Global trends in food fortification, particularly in milk, and the increasing availability of fermented milk products have raised awareness of the link between nutrition and health, leading to higher consumption of these products. Consumers’ decisions to purchase fermented milk products are influenced by economic, psychological, cultural, and socio-demographic factors, along with preferences related to brand, price, taste, and nutritional value. This study aims to examine the impact of socio-demographic characteristics on production and marketing factors when purchasing fermented milk products, as well as on the choice of specific brands. The research was conducted using a survey method, with a questionnaire as the primary data collection tool. A total of 326 consumers participated in the survey. Data were analyzed using descriptive statistics, frequency distribution, analysis of variance, and the chi-square test. The results indicate that socio-demographic characteristics significantly influence production and marketing considerations, as well as brand choice when it comes to fermented milk products. However, the chi-square test showed no statistically significant relationship between sociodemographic characteristics and consumer attitudes toward fermented milk products. These findings can help producers and marketers better understand consumer behavior and tailor their strategies accordingly.

BACKGROUND Adiposity can be measured using BMI (which is based on weight and height) as well as indices of abdominal adiposity. We examined the association between BMI and waist-to-height ratio (WHtR) within and across populations of different world regions and quantified how well these two metrics discriminate between people with and without hypertension. METHODS We used data from studies carried out from 1990 to 2023 on BMI, WHtR and hypertension in people aged 20-64 years in representative samples of the general population in eight world regions. We graphically compared the regional distributions of BMI and WHtR, and calculated Pearson's correlation coefficients between BMI and WHtR within each region. We used mixed-effects linear regression to estimate the extent to which WHtR varies across regions at the same BMI. We graphically examined the prevalence of hypertension and the distribution of people who have hypertension both in relation to BMI and WHtR, and we assessed how closely BMI and WHtR discriminate between participants with and without hypertension using C-statistic and net reclassification improvement (NRI). FINDINGS The correlation between BMI and WHtR ranged from 0·76 to 0·89 within different regions. After adjusting for age and BMI, mean WHtR was highest in south Asia for both sexes, followed by Latin America and the Caribbean and the region of central Asia, Middle East and north Africa. Mean WHtR was lowest in central and eastern Europe for both sexes, in the high-income western region for women, and in Oceania for men. Conversely, to achieve an equivalent WHtR, the BMI of the population of south Asia would need to be, on average, 2·79 kg/m2 (95% CI 2·31-3·28) lower for women and 1·28 kg/m2 (1·02-1·54) lower for men than in the high-income western region. In every region, hypertension prevalence increased with both BMI and WHtR. Models with either of these two adiposity metrics had virtually identical C-statistics and NRIs for every region and sex, with C-statistics ranging from 0·72 to 0·81 and NRIs ranging from 0·34 to 0·57 in different region and sex combinations. When both BMI and WHtR were used, performance improved only slightly compared with using either adiposity measure alone. INTERPRETATION BMI can distinguish young and middle-aged adults with higher versus lower amounts of abdominal adiposity with moderate-to-high accuracy, and both BMI and WHtR distinguish people with or without hypertension. However, at the same BMI level, people in south Asia, Latin America and the Caribbean, and the region of central Asia, Middle East and north Africa, have higher WHtR than in the other regions. FUNDING UK Medical Research Council and UK Research and Innovation (Innovate UK).