In this study we analyzed the effects of swimming on the posture of preschool children. The sample for this study consisted of 153 preschool boys and girls children aged 4-6 years (standard deviation= 1.1 years) living in Canton Sarajevo and divided into two groups of boys and girls, with one attended swimming school (n=61) and other did not (n=92). In order to evaluate the postural status, we used a reduced Napoleon Wolanski method with eight variables for the observed body parts: assessment of head posture (HPA), assessment of shoulder posture (SPA), assessment of scapular posture (SBPA), assessment of chest posture (CPA), scoliotic posture (SCP), assessment of abdominal posture (APA), assessment of leg posture (LPA), and assessment of foot posture (FPA). The results indicated a great effect of swimming on posture. We concluded the paper with some suggestions on how to incorporate swimming programs into regular school curricula.
BACKGROUND The superiority of endovascular thrombectomy (EVT) over medical management was not established in two early basilar artery occlusion (BAO) randomized controlled trials. Despite this, many clinicians recommended EVT for acute BAO under certain circumstances. This paper aims to compare physicians' diagnostic and management strategies of BAO according to gender. METHODS From January to March 2022 an international survey was conducted regarding management strategies in acute BAO. We compared responses between clinicians by identifying gender. Questions were designed to examine clinical and imaging parameters influencing management of patients with BAO. RESULTS Among the 1245 respondents from 73 countries, 311 (25.0%) identified as female. This figure was 13.6% amongst interventionists. Geographically, female respondents were lowest in Asia (14.5%) and North America (23.9%). The proportion of respondents identifying as female was consistent regardless of their years of experience. Female respondents were more likely to choose time of onset as time of first estimated stroke like symptom (48.0% vs. 38.5%, p < .01), were less likely to favor thrombectomy in the V4 segment of vertebrobasilar artery occlusions (31.5% vs. 43.3%, p < .01), and were less likely to find it acceptable to enroll all patients who met trial criteria in the standard medical treatment arm of a clinical trial (41.2% vs. 47.0%, p = .01). Male respondents were more likely to agree that thrombolysis would not alter their decision on proceeding with EVT (93.7% vs. 88.3%, p < .01). CONCLUSIONS Female clinicians appear to be significantly underrepresented in stroke medicine. This is most pronounced amongst interventionists and in Asia. Although male and female opinions were closely aligned on many aspects of BAO management, differences in opinion were observed in a number of significant areas which influence decision making.
We introduce a new, non-parametric method to infer deprojected 3D mass profiles M(r) of galaxy clusters from weak gravitational lensing observations. The method assumes spherical symmetry and a moderately small convergence, κ≲1. The assumption of spherical symmetry is an important restriction, which is, however, quite common in practice, for example in methods that fit lensing data to an NFW profile. Moreover, with a mild assumption on the probability distributions of the source redshifts, our method relies on spherical symmetry only at radii larger than the radius r at which the mass M is inferred. That is, the method may be useful even for clusters with a non-symmetric inner region, since it correctly estimates the enclosed mass beyond the radius where spherical symmetry is restored. We discuss how to correct, statistically and approximately, for miscentering given that the probability distribution of miscentering offsets is known. We provide an efficient implementation in Julia code that runs in a few milliseconds per galaxy cluster. We explicitly demonstrate the method by using data from KiDS DR4 to infer mass profiles for two example clusters, Abell 1835 and Abell 2744, finding results consistent with existing literature.
Nakaseomyces glabratus (N. glabratus) formerly known as Candida glabrata (C. glabrata), is an endogenous opportunistic pathogen, which is generally located in the gastrointestinal tract but can spread in immunocompromised patients. N. glabratus is the second most common pathogen that causes candidemia in several countries. N. glabratus virulence factors may increase antifungal resistance and reduce the number of available treatment options. High resistance to azoles and increasing resistance to echinocandins have been previously reported in N. glabratus.
The 2023 American College of Rheumatology/EULAR antiphospholipid syndrome (APS) classification criteria development, which aimed to identify patients with high likelihood of APS for research, employed a four‐phase methodology. Phase I and II resulted in 27 proposed candidate criteria, which are organized into laboratory and clinical domains. Here, we summarize the last stage of phase III efforts, employing a consensus‐based multicriteria decision analysis (MCDA) to weigh candidate criteria and identify an APS classification threshold score.
Seeing mathematics teaching as a very demanding and responsible process while having in mind the importance of mathematical knowledge for students of technical faculties, this paper aims to present heuristics for student classification according to their predicted mathematical success. Over the last few decades, the process of informatization of universities has resulted in new challenges universities are faced with. Due to the widespread use of educational databases, which opens new possibilities for educational data mining and analyses, machine learning algorithms have become a very popular tool for predicting students' academic performance. The decision tree algorithm is used in this paper for the classification and prediction of students' mathematical performance and it is trained on the data collected from the educational information system. The experimental results show that the model accuracy is 72% with an error rate of 0.28. The implementation of the Decision Tree Model to predict whether a student will pass, fail or be conditional in mathematical courses is important for both teachers and students, as well as for universities. Students' performance is one of the major keys in evaluating the quality of the teaching process, but also for evaluating the overall success of the university itself. As mathematics is considered a basic and important discipline, it is clear why predicting students' mathematical achievement is crucial for all levels of university organization.
Objective. The goal of this review was to determine the effectiveness of different types of monobloc and bibloc mandibular advancement device (MAD) devices in the treatment of all forms of obstructive sleep apnea (OSA), by reviewing the available literature. Methods. A systematic literature search was performed in PubMed, ResearchGate, NCBI and Google Scholar databases. The search included articles in English, published in the inclusive time period from 2000 to 2024. Results. A total of 13 studies were analyzed that directly compared the effectiveness of monobloc and bibloc devices. The studies were published in the period from 2000 to 2024, and included crossover and parallel randomized controlled trials, as well as cross and parallel cohort studies. Out of the 13 studies, four were classified as RCT parallel studies, six were RCT crossover studies, two cohort parallel studies, and one cohort crossover study. The duration of the studies was variable, ranging from four weeks to one year, with six studies having a so-called “washout period” between the use of monobloc and bibloc MAD devices. Conclusion. Both monobloc and bibloc devices show significant success rates in the treatment of mild to moderate OSA.
In the ongoing discourse surrounding integrating QKD networks as a service for critical infrastructures, key storage design often receives insufficient attention. Nonetheless, it bears crucial significance as it profoundly impacts the efficiency of QKD network services, thereby shaping its suitability for diverse applications. In this article, we analyze the effectiveness of key storage designs developed through practical testbeds and propose a novel key storage design to increase the effectiveness of key creation and supply. All key storage designs underwent analysis using network simulation tools, and the findings demonstrate that the novel key storage design surpasses existing approaches in terms of performance.
Secure communication makes the widespread use of telecommunication networks and services possible. With the constant progress of computing and mathematics, new cryptographic methods are being diligently developed. Quantum Key Distribution (QKD) is a promising technology that provides an Information-Theoretically Secure (ITS) solution to the secret-key agreement problem between two remote parties. QKD networks based on trusted relay nodes are built to provide service to a larger number of parties at arbitrary distances. They function as an add-on technology to traditional networks, generating, managing, distributing, and supplying ITS cryptographic keys. Since key resources are limited, integrating QKD network services into critical infrastructures necessitates effective key management. As a result, this article provides a comprehensive review of key management approaches for trusted-relay QKD networks. They are analyzed to facilitate the identification of potential strategies and accelerate the future development of QKD networks.
This study investigates the perception of the implementation of the Farm to Table (F2T) concept on the sustainability of agritourism households in the Republic of Serbia. The main objective of the study is to determine how this concept affects the environmental, economic, and social sustainability of these households according to the participants. Data were collected through surveys of agritourism homestead owners in the regions of Vojvodina, Western Serbia, Southern Serbia, and Eastern Serbia. The research findings, obtained using quantitative (SEM) analyses, indicate that the F2T concept significantly contributes to the sustainable development of agritourism homesteads by increasing economic profitability, reducing environmental impact, and strengthening the social community. Moderators such as seasonal product availability, employee education, and the local community support have a significant impact on the effectiveness of F2T activities. The innovation of this study lies in the application of quantitative methods to analyze the specific impacts of the F2T concept on the sustainability of agritourism households, an area that has been poorly explored in the literature. The study has a number of implications, including providing empirical data that can help farmers, tourism operators, and policymakers to promote sustainable agritourism businesses.
This study presents a comprehensive and insightful exploration of climate justice and climate injustice and their social, geopolitical, legal, security, visual and moral dimensions. It contributes perspectives on the global climate crisis and its implications. Theoretically and practically, the paper adds insight into global climate and environmental processes, concepts of climate justice and injustice, environmental and human security, climate visuals, and legal and moral approaches to the observed topics. The study explores contemporary academic scientific literature's methodological trends and critical themes. Besides a meta-analysis, content analysis, thematic analysis, a descriptive method, and an in-depth literature review of various scientific and expert-based data forms, the study incorporated the representation and analysis of visual expressions of climate change consequences and injustice. It also included human-centric aspects and perceptions of youth climate activists. Accordingly, the paper analyzes the essence and goals of climate justice, the consequences of climate injustice, and the positions of wealthy and poorer countries - mainly and severely affected by climate change, and offers normative solutions. Climate injustice processes and occurrences generate social injustice, inequalities, inequities, and exclusions while jeopardizing critical human security.
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