STUDY OBJECTIVES To examine 1) multidimensional sleep profiles in pre-schoolers (3-6 years) across geocultural regions and 2) differences in sleep characteristics and family practices between Majority World regions (Pacific Islands, Sub-Saharan Africa, Eastern Europe, Northeast Asia, Southeast Asia, South Asia, the Middle East and North Africa, Latin America) and the Minority World (the Western world). METHODS Participants were 3507 pre-schoolers from 37 countries. Nighttime sleep characteristics and nap duration (accelerometer: n=1950) and family practices (parental questionnaire) were measured. Mixed models were used to estimate the marginal means of sleep characteristics by region and examine the differences. RESULTS Geocultural region explained up to 30% of variance in sleep characteristics. A pattern of short nighttime sleep duration, low sleep efficiency, and long nap duration was observed in Eastern Europe, Northeast Asia, and Southeast Asia. The second pattern, with later sleep midpoints and greater night-to-night sleep variability, was observed in South Asia, the Middle East and North Africa, and Latin America. Compared to the Minority World, less optimal sleep characteristics were observed in several Majority World regions, with medium-to-large effect sizes (∣d∣=0.48-2.35). Several Majority World regions reported more frequent parental smartphone use during bedtime routines (Northeast Asia, Southeast Asia: 0.77-0.99 units) and were more likely to have electronic devices in children's bedroom (Eastern Europe, Latin America, South Asia: OR=5.97-16.57) and co-sleeping arrangement (Asia, Latin America: OR=7.05-49.86), compared to the Minority World. CONCLUSIONS Pre-schoolers' sleep profiles and related family practices vary across geocultural regions, which should be considered in sleep health promotion initiatives and policies.

U ovom se radu analizira sintaksički status akuzativnih klitika u bosanskom jeziku i njihovo pomjeranje u tzv. drugu poziciju (engl. second position clitics / Wackernagel clitics) s teorijskog polazišta tzv. minimalističkog programa (engl. Minimalist Program, Chomsky 1995; 2000; 2001). Derivacija sintaksičkih struktura posmatra se kroz djelovanje sintaksičke operacije spajanja (engl. Merge) i sintaksičke operacije slaganja (engl. Agree). Pri tome, u radu se slijedi tzv. teorija faza (engl. Phase Theory, Chomsky 2001), koja postulira da se derivacija sintaksičke strukture odvija u fazama koje omogućavaju da se minimalni dijelovi strukture sukcesivno šalju u tzv. Spell-out, odnosno u interfejs u kojem dolazi do razdvajanja informacija relevantnih za nivo fonetskog (engl. Phonetic form, PF) i logičkog predstavljanja (engl. Logical form, LF). U radu se zastupa hipoteza da se akuzativne klitike izvorno generiraju u poziciji komplementa glagola za koji su tematski vezane te da, budući da nemaju status fraznih afiksa, ne mogu biti sintaksički spojene s tim glagolom. U tom se smislu transfer akuzativnih klitika u PF komponentu dešava već u vP fazi, dok glagol za koji je klitika tematski vezana nije obuhvaćen ovim transferom jer se pomjera u tzv. rubnu poziciju (engl. edge position) vP faze. Cilj je ovoga rada pokazati da je tzv. druga pozicija akuzativnih klitika rezultat njihovog postsintaksičkog pomjeranja koje slijedi nakon prozodijskog organiziranja strukturnih elemenata na PF nivou. Akuzativne klitike pomjeraju se u tzv. drugu poziciju u svojoj intonacijskoj frazi (engl. Intonation phrase, IP), pri čemu intonacijska fraza korespondira s granicama CP domene klauze koja sadrži akuzativne klitike. Pozicija akuzativnih klitika iza prve naglašene riješi (engl. first word position, 1W) ili iza prvog sintaksičkog konstituenta (engl. first constituent position, 1C) u vezi je s (ne)postojanjem prozodijskih barijera.

AIMS Clustering algorithms have been widely applied to tumor DNA methylation datasets to define methylation-based cancer subtypes. This study aimed to evaluate the agreement between subtypes obtained from common clustering strategies. MATERIALS & METHODS We used tumor DNA methylation data from 409 women with breast cancer from the Melbourne Collaborative Cohort Study (MCCS) and 781 breast tumors from The Cancer Genome Atlas (TCGA). Agreement was assessed using the adjusted Rand index for various combinations of number of CpGs, number of clusters and clustering algorithms (hierarchical, K-means, partitioning around medoids, and recursively partitioned mixture models). RESULTS Inconsistent agreement patterns were observed for between-algorithm and within-algorithm comparisons, with generally poor to moderate agreement (ARI <0.7). Results were qualitatively similar in the MCCS and TCGA, showing better agreement for moderate number of CpGs and fewer clusters (K = 2). Restricting the analysis to CpGs that were differentially-methylated between tumor and normal tissue did not result in higher agreement. CONCLUSION Our study highlights that common clustering strategies involving an arbitrary choice of algorithm, number of clusters and number of methylation sites are likely to identify different DNA methylation-based breast tumor subtypes.

The paper deals with the analysis of the fuel consumption of skidders during timber extraction from thinning of even-aged beech forest on mountain terrain. Fuel consumption research was conducted on the Ecotrac 140V cable skidder over 8 working days at the same worksite during real timber extraction work. The worksite was organized so that the empty skidder traveled uphill, and when loaded, it moved downhill. The skidder was equipped with measuring devices for collecting data from sensors, the motor, and data transfer. The key parameters measured include total fuel consumption (mL) and skidder GPS position, while slopes of skid trails and load volumes were measured directly on terrain. Fuel consumption (L, L/m3) was determined per work cycle and work cycle elements. The highest fuel consumption occurred while driving the unloaded skidder, accounting for 38% of the total. This is primarily because fuel usage during skidder movement is significantly affected by factors such as skidding distance, slope, and skid trail conditions, especially since the unloaded skidder was moving uphill. Guidelines for better and more efficient organization of work and reduction in fuel costs are presented, and the suitability of the skidder and harvesting system are considered based on the results of fuel consumption.

Traditional Diffusion Tensor Imaging (DTI) metrics are affected by crossing fibers and lesions. Most of the previous tractometry works use the single diffusion tensor, which leads to limited sensitivity and challenging interpretation of the results in crossing fiber regions. In this work, we propose a tractometry pipeline that combines white matter tractography with multi-tensor fixel-based metrics. These multi-tensors are estimated using the stable, accurate and robust to noise Multi-Resolution Discrete Search method (MRDS). The spatial coherence of the multi-tensor field estimated with MRDS, which includes up to three anisotropic and one isotropic tensors, is tractography-regularized using the Track Orientation Density Imaging method. Our end-to-end tractometry pipeline goes from raw data to track-specific multi-tensor-metrics tract profiles that are robust to noise and crossing fibers. A comprehensive evaluation conducted in a phantom simulating healthy and damaged tissue with the standard model, as well as in a healthy cohort of 20 individuals scanned along 5 time points, demonstrates the advantages of using multi-tensor metrics over traditional single-tensor metrics in tractometry. Qualitative assessment in a cohort of patients with relapsing-remitting multiple sclerosis reveals that the pipeline effectively detects white matter anomalies in the presence of crossing fibers and lesions.

Pancreatic steatosis and metabolic-dysfunction-associated steatotic liver disease are characterised by fat accumulation in abdominal organs, but their correlation remains inconclusive. Recently proposed deep learning (DL) for proton density fat fraction (PDFF) estimation, which quantifies organ fat, has primarily been assessed for quantifying liver fat. This study aims to validate DL models for pancreatic PDFF quantification and compare pancreas and liver fat content. We evaluated three DL models—Non-Linear Variables Neural Network (NLV-Net), U-Net, and Multi-Decoder Water-Fat separation Network—against a reference PDFF measured using a graph-cut-based method. NLV-Net showed a strong correlation (Spearman rho) with the reference PDFF in the six-echo pancreatic head (slope: 1.02, rho: 0.95) and body (slope: 1.04, rho: 0.94) and a moderate correlation in the three-echo pancreatic head (slope: 0.44, rho: 0.40) and body (slope: 0.49, rho: 0.34). Weak correlations were found between liver and pancreatic body PDFF using graph cut in six-echo (slope: −0.041, rho: −0.12) and three-echo images (slope: 0.0014, rho: 0.073) and using NLV-Net in six-echo (slope: −0.053, rho: −0.12) and three-echo images (slope: −0.014, rho: −0.033). In conclusion, NLV-Net showed the best agreement with the reference for pancreatic fat quantification, and no correlation was found between liver and pancreas fat.

Educating teachers to teach language, culture and history in a post-conflict country such as Bosnia and Herzegovina, which is still deeply divided and fragmented, implies enormous social and moral responsibilities. These endeavours represent continuous challenges where the processes of healing the wounds in such vulnerable situations, so deep and irreparable, are discussed and contextualised within the long-term social recovery in which the education of children and young people takes on a primarytransformative role. The present paper examines the education policies and divisions in Bosnia and Herzegovina in the past twenty years, which reflect the segregation, politicisation and fragmentation in the post-war society. It also focuses on the role of educators in teaching for peace, antidiscriminationand intercultural understanding by addressing the issues of social exclusion, injustice, prejudice, privilege and violence across the curriculum. It problematises the construction and representation of historicaland cultural knowledge, which is usually ethnocentric in orientation. Special emphasis is placed on the role of universities, i.e., university teachers and teacher educators, in promoting critical thinking and universal humanistic values among students in Bosnia and Herzegovina in general, and those studying at the English Department, University of Sarajevo, in particular. Drawing on the theories and resources of critical and intercultural pedagogy and peace education, the paper explores the possibilities of discussing stereotypes and prejudice with first-year BA students at the English Department within their Introduction to BritishStudies course, and with MA student teachers within their Interculturalism in Language Education course, which deals with peacebuilding and intercultural sensitivity in teaching English from a cultural perspective.

This study presents a comparative analysis of titanium leaching from tionite (a byproduct of the titanium dioxide production process) and carbothermally reduced red mud (derived from aluminum residues). Tionites from the sulfate process and red mud residue are known for their environmental impacts due to their metal content and acidic/basic nature. This study explored leaching as a method to recover titanium and other metals under high-pressure and high-temperature conditions using sulfuric acid. Experiments were conducted in an autoclave with different parameter changes, like varying oxygen pressure, temperature, and reaction time to optimize metal extraction. The leaching efficiency of titanium was found to be higher in the carbothermal-reduced slag compared to tionite due to the altered mineral phases in the reduced material. XRD and SEM-EDS analyses confirmed the differing leaching behaviors, with titanium compounds in tionite showing greater resistance to dissolution. These findings highlight the importance of thermal pre-treatment for optimizing metal recovery from industrial residues. The main aim of this study is to contribute to the development of sustainable waste management solutions for tionites and red mud, emphasizing the potential of hydrometallurgical methods for metal recovery. The results are expected to inform future research and industrial applications, advancing the recovery of valuable metals while reducing the environmental footprint of titanium and aluminum residue disposal.