bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mask vs. tent: effect of hypoxia method on repeated sprint ability and physiological parameters in cyclists
Authors: Vasquez-Bonilla Aldo A. , Rojas-Valverde Daniel , Feliu-Ilvonen Joan M. , Timón Rafael , Olcina Guillermo 
Published: June 2024

AbstractThis study aimed to evaluate the effect of repeated sprint in hypoxia (RSH) training in mask vs. tent system on the physiological parameters associated with the cyclist’s performance. Sixteen well-trained cyclists (VO2max 66 ± 5.9 mL/kg/min) participated in a randomised and two parallel groups design. Participants were assigned to different hypoxia methods [RSHMask (n = 8) vs RSHTent (n = 8)]. The sprint number and power output were measured during a repeated sprint test to failure before and after the effect of eight sessions of RSH. In addition, the following physiological parameters were evaluated: oxygen consumption (VO2), heart rate (HR), arterial oxygen saturation (SpO2), muscle oxygen saturation (SmO2), lactate and core temperature (CoreT°). Linear mixed models were used for repeated measures (p value < 0.05), and the effect size (ES) between groups was reported. An inter-individual analysis of participants was also reported. There was an increase in sprint numbers in both groups (ES = 0.167, p = 0.023) and an increase in power output (∑w) in the RSHMask group (ES = 0.095, p = 0.038). The RSHMask group showed improvement in VO2 recovery (ES = 0.096, p = 0.031) and SmO2 desaturation % (ES = 0.112, p = 0.042) compared to the RSHTent group. Likewise, 50% of the participants in RSHTent showed adaptations to withstand higher T°Core (+ 0.45°), and eight participants showed lactate decreases between 2.9 and 3.1 mmol/L (−24%) after RSH in both groups. Generally, RSH improves the cyclist’s performance, whether the mask or tent method is used. However, RSHTent has the advantage of causing adaptations in T°Core, whilst RSHMask improves anaerobic performance in the oxygenation of peripheral muscles.
The Difference a Three-Minute Video Makes: Presence(s), Satisfaction, and Instructor-Confidence in Post-Pandemic Online Teacher Education
Authors: Ingram Karen , Oyarzun Beth , Maxwell Daniel , Salas Spencer 
Published: June 2024

AbstractSome research has shown that using videos in online courses can promote learner’s connection to the instructor (Banerjee et al., 2020). This quasi-experimental self-study aimed to explore the impact of brief three-minute instructor-generated videos in twin segments of an online graduate teacher education seminar focused on Globalization, Communities, and Schools. Specifically, we sought to understand the extent to which the insertion of these videos influenced teacher candidates’ perceptions of the dynamics of a Community of Inquiry (CoI) and their overall satisfaction as learners. The quantitative analysis of survey data using T-tests showed no statistically significant difference in overall learner satisfaction, social presence, teaching presence, or instructor social presence between the course with and without videos. However, there were significant differences in several individual items within each survey instrument. Student interviews and course evaluation comments were examined for themes revealing the strong presence of the instructor in various ways such as personalized feedback and caring tone. These findings suggest that while the videos may not have a significant impact on overall satisfaction, they do contribute to a more personalized and caring learning environment. Follow-up discussions with the instructor also revealed the reluctance to include short videos was grounded in his fear of inadvertently compromising the accessibility standards he wanted to honor–suggesting a continued need for growth in online instructors’ digital competencies and additional research into the perceived obstacles of expanding modalities of online graduate teacher education.
Automated hepatic steatosis assessment on dual-energy CT-derived virtual non-contrast images through fully-automated 3D organ segmentation
Authors: Jeon Sun Kyung , Joo Ijin , Park Junghoan , Yoo Jeongin 
Published: June 2024

Abstract
Purpose
To evaluate the efficacy of volumetric CT attenuation-based parameters obtained through automated 3D organ segmentation on virtual non-contrast (VNC) images from dual-energy CT (DECT) for assessing hepatic steatosis.

Materials and methods
This retrospective study included living liver donor candidates having liver DECT and MRI-determined proton density fat fraction (PDFF) assessments. Employing a 3D deep learning algorithm, the liver and spleen were automatically segmented from VNC images (derived from contrast-enhanced DECT scans) and true non-contrast (TNC) images, respectively. Mean volumetric CT attenuation values of each segmented liver (L) and spleen (S) were measured, allowing for liver attenuation index (LAI) calculation, defined as L minus S. Agreements of VNC and TNC parameters for hepatic steatosis, i.e., L and LAI, were assessed using intraclass correlation coefficients (ICC). Correlations between VNC parameters and MRI-PDFF values were assessed using the Pearson’s correlation coefficient. Their performance to identify MRI-PDFF ≥ 5% and ≥ 10% was evaluated using receiver operating characteristic (ROC) curve analysis.

Results
Of 252 participants, 56 (22.2%) and 16 (6.3%) had hepatic steatosis with MRI-PDFF ≥ 5% and ≥ 10%, respectively. LVNC and LAIVNC showed excellent agreement with LTNC and LAITNC (ICC = 0.957 and 0.968) and significant correlations with MRI-PDFF values (r = − 0.585 and − 0.588, Ps < 0.001). LVNC and LAIVNC exhibited areas under the ROC curve of 0.795 and 0.806 for MRI-PDFF ≥ 5%; and 0.916 and 0.932, for MRI-PDFF ≥ 10%, respectively.

Conclusion
Volumetric CT attenuation-based parameters from VNC images generated by DECT, via automated 3D segmentation of the liver and spleen, have potential for opportunistic hepatic steatosis screening, as an alternative to TNC images.
Effect of Load Ratio on Fatigue Crack Growth Behavior of SS316LN using Two-Parameter (ΔK and Kmax) Model
Authors: Duraipandi R. , Babu M. Nani , Moitra A. 
Published: June 2024

AbstractFatigue crack growth (FCG) behavior of SS316L (N) with 0.12 wt.% nitrogen has been studied with different load ratios at 300 K and 823 K in Paris and the threshold region. It is observed that, with increasing load ratio, the crack growth rate (da/dN) increases, and the threshold value (ΔKth) decreases. The variation in the ΔKth value with load ratio is generally attributed to the crack closure effects. Nevertheless, uncertainty exists in the consistent measurement of crack closure quantification. The present study aimed to develop a master curve using the two parametric concepts without invoking the crack closure approach. Attempts have been made to develop an FCG master curve using two-parameter models of Walker (ΔKw) and Kujawski (K*). The Kujawski (K*) model is found to merge the FCG data into a single master curve for the entire range of load ratios compared to the Walker model. Thus, the Kujawski (K*) model was found to be appropriate for life prediction analysis. However, two adjustable fitting parameters are required to get a single curve in this study since the two kinds of crack growth mechanisms are operative over the tested load ratio range. As revealed by the fractographic examination, the crack growth occurred by a faceted mode at lower load ratios for the tested temperature (300 K and 823 K) and the sustained load fracture is also observed at the higher (R = 0.7) load ratio, which comes through the Kmax.
Grafting based DNA methylation alteration of snoRNAs in upland cotton (Gossypium L.)
Authors: Karaca Mehmet , Ince Ayse Gul 
Published: June 2024

AbstractThe effects of grafting in response to various biotic and abiotic stressors have been studied, however, the methylation status of small nucleolar RNA (snoRNA) genes in heterograft and homograft cotton needs investigation. This study was undertaken to determine grafting effects on DNA methylation of snoRNA genes in Upland cotton. Rootstocks used were Pima 3–79 (Gossypium barbadense acc. Pima 3–79) and Texas Marker-1 (G. hirsutum acc. TM-1), representing two different species with different fiber properties, adaptations, and morphologies. The methylation ratio and differently methylated cytosines (DMCs) of 10935 snoRNA genes in mature seeds of heterograft and homograft cotton samples were studied using the whole genome bisulfite sequencing method. Seedling vigor and seed weight were studied to investigate phenotype alterations that might be associated with altered methylation levels among grafts. Statistically significant DMC differences among gene elements of snoRNA genes and between homograft and heterograft cotton samples were identified in the absence of DNA sequence alterations. DNA methylation alterations of snoRNA genes associated with seedling vigor and 100 seed weight. The majority of snoRNA genes showed higher numbers of mCG + mCHG-DMCs with increased methylation levels in heterograft, while there were higher numbers of mCG + mCHG-DMCs with decreased methylation levels in homograft. Since snoRNAs regulate essential genes for plant growth and development and plant adaptation to different habitats or extreme environments, their altered methylation levels should be related with plant physiology.
Coastal cultural ecosystem services and adolescents’ subjective well-being
Authors: Cabana David , Pinna Stefania , Farina Simone , Grech Daniele , Barbieri Nicholas , Guala Ivan 
Published: June 2024

AbstractDespite growing recognition of nature’s impact on mental health, its specific effects on adolescents remain unclear. This gap hinders effective strategies for youth well-being in a world facing increasing environmental pressures. This study directly investigates the connections between coastal environments and subjective well-being in adolescents. We explore how interactions with coastal landscapes and associated cultural ecosystem services contribute to both personal and social dimensions of well-being in a sample of 202 adolescents (16 and 17 years old) from Sardinia, Italy. Our findings reveal a beneficial impact of coastal experiences, promoting positive affect, social integration, and physiological well-being. However, human pressures on these environments can lead to negative affect, while fostering a sense of social contribution. This research highlights the complex interplay between coastal environments, human impacts, and teenagers’ well-being. Understanding these links empowers planners to craft coastal management strategies that balance adolescents’ well-being with the long-term sustainability of coastal regions.
Investigation on Fracture Behavior of Electroslag Welding Joint with High-Performance Steel
Authors: Li Hongtao , Iyama Jun 
Published: June 2024

AbstractThis study aimed to investigate fracture behavior of electroslag welding (ESW) joint with 590-N/mm2 class steel using numerical analysis, covering a range of material scales in the structural level. The extended Mohr–Coulomb (EMC) fracture criterion was employed for finite element analysis (FEA). Uniaxial tensile test and three-point bending test were conducted to analyze the fracture behavior from the material scale and calibrate the fracture criterion. The test specimens consisted of the base metal, heat-affected-zone metal, and welding metal obtained from an ESW joint with a 590 N/mm2 class steel. Subsequently, FEA was conducted for a biaxial tensile test to investigate fracture behavior at a structural scale and verify the feasibility and accuracy of the calibrated fracture criterion. The comparison between the results from the FEA and test suggests that the FEA based on the EMC fracture criterion can accurately predict fracture behavior but tends to overestimate the bearing capacity. Thereafter, the effect of axial force on column was quantitatively investigated. The results suggest that the existence of tensile axial force at column decreases the ductility of ESW joint and shifts the fracture locus from the welding metal to heat-affected zone. However, the force has minimal influence on the pop-in load. Finally, the feasibility of applying the current Japanese specifications designated for the 490 N/mm2 class steel for the 590 N/mm2 class steel was examined. The results indicate that the provision can serve as a safe and reliable guideline for the 590 N/mm2 class steel as well.
A Prelude: From Slovak Mountains to Cognitive Biology
Authors: Tomáška Ľubomír , Neboháčová Martina 
Published: June 2024

AbstractThe main aim of this article is to provide a short overview of the research that gradually culminated in the concept of cognitive biology. To a certain extent it can be compared to a prelude: as the Merriam Webster dictionary defines it, “a musical section or movement introducing the theme or chief subject (as of a fugue or suite) or serving as an introduction to an opera or oratorio.” At first glance, this may seem to downplay the importance of the pre-cognitive biology period, but the opposite is true. Some preludes (consider, for example, La Traviata or Carmen) are as rich and beautiful as the acts that follow. We believe this is the case with the story culminating in the birth of cognitive biology, and we present it here in the form of an annotated (and somewhat virtual) interview with its leading actor, Ladislav Kováč.
A new method for individual treetop detection with low-resolution aerial laser scanned data
Authors: Diószegi Gergő , Molnár Vanda Éva , Nagy Loránd Attila , Enyedi Péter , Török Péter , Szabó Szilárd 
Published: June 2024

AbstractIn the past decade, the use of three-dimensional forest information from airborne Light Detection and Ranging (LiDAR) has become widespread in forest inventories. Accurate Individual Treetop Detection (ITD) and crown boundary delineation using LiDAR data are critical for obtaining precise inventory metrics. To address this need, we introduced a novel growing tree region (GTR)-driven ITD method that utilizes canopy height models (CHM) derived from very low-resolution airborne LiDAR data. The GTR algorithm consists of three key stages: (i) preserving all height layers through incremental cutting and stacking of CHM; (ii) employing a three-layer concept to identify individual treetops; and (iii) refining the detected treetops using a distance-based filter. Our method was tested in five temperate forests across Central Europe and was compared against the widely-used local maxima (LM) search combined with an optimized variable window filtering (VWF) technique. Our results showed that the GTR method outperformed LM with VWF, particularly in forests with high canopy density. The achieved root mean square accuracies were 74% for the matching rate, 19% for commission errors, and 27% for omission errors. In comparison, the LM with the VWF method resulted in a matching rate of 71%, commission errors of 20%, and omission errors of 31%. To facilitate the application of our algorithm, we developed an R package called TREETOPS, which seamlessly integrates with the lidR package, ensuring compatibility with existing treetop-based segmentation methods. By introducing TREETOPS, we provide the most accurate open-source tool for detecting treetops using low-resolution LiDAR-derived CHM.
Artificial Intelligence Needs Data: Challenges Accessing Italian Databases to Train AI
Authors: Staunton Ciara , Biasiotto Roberta , Tschigg Katharina , Mascalzoni Deborah 
Published: June 2024

AbstractPopulation biobanks are an increasingly important infrastructure to support research and will be a much-needed resource in the delivery of personalised medicine. Artificial intelligence (AI) systems can process and cross-link very large amounts of data quickly and be used not only for improving research power but also for helping with complex diagnosis and prediction of diseases based on health profiles. AI, therefore, potentially has a critical role to play in personalised medicine, and biobanks can provide a lot of the necessary baseline data related to healthy populations that will enable the development of AI tools. To develop these tools, access to personal data, and in particular, sensitive data, is required. Such data could be accessed from biobanks. Biobanks are a valuable resource for research but accessing and using the data contained within such biobanks raise a host of legal, ethical, and social issues (ELSI). This includes the appropriate consent to manage the collection, storage, use, and sharing of samples and data, and appropriate governance models that provide oversight of secondary use of samples and data. Biobanks have developed new consent models and governance tools to enable access that address some of these ELSI-related issues. In this paper, we consider whether such governance frameworks can enable access to biobank data to develop AI. As Italy has one of the most restrictive regulatory frameworks on the use of genetic data in Europe, we examine the regulatory framework in Italy. We also look at the proposed changes under the European Health Data Space (EHDS). We conclude by arguing that currently, regulatory frameworks are misaligned and unless addressed, accessing data within Italian biobanks to train AI will be severely limited.
Delta-Beta Coupling in Adolescents With Depression
Authors: Venanzi Lisa , Dickey Lindsay , Pegg Samantha , Kujawa Autumn 
Published: June 2024

Abstract: Cognitive behavioral therapy (CBT) is effective in treating adolescent depressive symptoms but with variable treatment responses. Heterogeneity in treatment outcomes may be due in part to individual differences in cognitive and emotional processes in depressed adolescents, and there is a need to identify biomarkers associated with symptoms and treatment outcomes. There has been growing interest in leveraging electroencephalography (EEG) data to examine correspondence between multiple frequency bands, and delta-beta coupling in particular is thought to underlie emotion regulation and offers a promising biomarker in adolescent depression. In the present study, clinically depressed adolescents aged 14–18 years old ( N = 54) completed 6 min of EEG at rest before and after a 16-session group CBT program. Analyses were focused on associations of pre- and posttreatment delta-beta coupling power with age, depressive symptoms, and clinician-rated severity at baseline and the end of treatment, and clinician-rated improvement. Results indicated that older adolescents showed lower delta-beta coupling than younger adolescents and girls showed higher coupling posttreatment. Greater delta-beta coupling before and after treatment was associated with greater clinician-rated severity. Surprisingly, greater pretreatment delta-beta coupling was associated with lower self-reported depressive symptoms with treatment. These results suggest that elevated delta-beta coupling, potentially reflecting more difficulty regulating emotions, is associated with gender and age in adolescents with depression and may be related to greater severity and poorer treatment outcomes, but replication in larger samples is needed.
Drivers of Seasonal Land‐Ice‐Flow Variability in the Antarctic Peninsula
Authors: Boxall Karla , Christie Frazer D. W. , Willis Ian C. , Wuite Jan , Nagler Thomas , Scheiblauer Stefan 
Published: June 2024

AbstractLand‐ice flow in Antarctica has experienced multi‐annual acceleration in response to increased rates of ice thinning, ice‐shelf collapse and grounding‐line retreat. Superimposed upon this trend, recent observations have revealed that land‐ice flow in the Antarctic Peninsula exhibits seasonal velocity variability with distinct summertime speed‐ups. The mechanism, or mechanisms, responsible for driving this seasonality are unconstrained at present, yet detailed, process‐based understanding of such forcing will be important for accurately estimating Antarctica's future contributions to sea level. Here, we perform time‐series analysis on an array of remotely sensed, modeled and reanalysis data sets to examine the influence of potential drivers of ice‐flow seasonality in the Antarctic Peninsula. We show that both meltwater presence and ocean temperature act as statistically significant precursors to summertime ice‐flow acceleration, although each elicits an ice‐velocity response after a distinct lag, with the former prompting a more immediate response. Furthermore, we find that the timing and magnitude of these local drivers are influenced by large‐scale climate phenomena, namely the Amundsen Sea Low and the El Niño Southern Oscillation, with the latter initiating an anomalous wintertime ice‐flow acceleration event in 2016. This hitherto unidentified link between seasonal ice flow and large‐scale climatic forcing may have important implications for ice discharge at and beyond the Antarctic Peninsula in the future, depending upon how the magnitude, frequency and duration of such climate phenomena evolve in a warming world.
From inside to outside: exploring extracellular antimicrobial histone-derived peptides as multi-talented molecules
Authors: Muñoz-Camargo Carolina , Cruz Juan C. 
Published: June 2024

AbstractThe emergence of bacterial resistance to antibiotics poses a global health threat, necessitating innovative solutions. The contemporary challenge lies in bacterial resistance, impacting morbidity, mortality, and global economies. Antimicrobial peptides (AMPs) offer a promising avenue for addressing antibiotic resistance. The Antimicrobial Peptide Database catalogs 3569 peptides from various organisms, representing a rich resource for drug development. Histones, traditionally recognized for their role in nucleosome structures, have gained attention for their extracellular functions, including antimicrobial and immunomodulatory properties. This review aims to thoroughly investigate antimicrobial peptides derived from histones in various organisms, elucidating their mechanisms. In addition, it gives us clues about how extracellular histones might be used in drug delivery systems to fight bacterial infections. This comprehensive analysis emphasizes the importance of histone-derived peptides in developing innovative therapeutic strategies for evolving bacterial challenges.