bluuebunny/crossref_metadata_2025_split huggingface dataset:
Binge drinking leads to an oxidative and metabolic imbalance in skeletal muscle during adolescence in rats: endocrine repercussion
Authors: Romero-Herrera Inés , Nogales Fátima , Diaz-Castro Javier , Moreno-Fernandez Jorge , Gallego-Lopez María del Carmen , Ochoa Julio J. , Carreras Olimpia , Ojeda María Luisa 
Published: September 2023

AbstractBinge drinking (BD) is an especially pro-oxidant model of alcohol consumption, mainly used by adolescents. It has recently been related to the hepatic IR-process. Skeletal muscle is known to be involved in insulin action and modulation through myokine secretion. However, there is no information on muscle metabolism and myokine secretion after BD exposure in adolescents. Two experimental groups of adolescent rats have been used: control and BD-exposed one. Oxidative balance, energy status and lipid, and protein metabolism have been analyzed in muscle, together with myokine serum levels (IL-6, myostatin, LIF, IL-5, fractalkine, FGF21, irisin, BDNF, FSTL1, apelin, FABP3, osteocrin, osteonectin (SPARC), and oncostatin). In muscle, BD affects the antioxidant enzyme balance leading to lipid and protein oxidation. Besides, it also increases the activation of AMPK and thus contributes to decrease SREBP1 and pmTOR and to increase FOXO3a expressions, promoting lipid and protein degradation. These alterations deeply affect the myokine secretion pattern. This is the first study to examine a general myokine response after exposure to BD. BD not only caused a detrimental imbalance in myokines related to muscle turnover, decreased those contributing to increase IR-process, decreased FST-1 and apelin and their cardioprotective function but also reduced the neuroprotective BDNF. Consequently, BD leads to an important metabolic and energetic disequilibrium in skeletal muscle, which contributes to exacerbate a general IR-process.
Role of land cover in Finland’s greenhouse gas emissions
Authors: Holmberg Maria , Junttila Virpi , Schulz Torsti , Grönroos Juha , Paunu Ville-Veikko , Savolahti Mikko , Minunno Francesco , Ojanen Paavo , Akujärvi Anu , Karvosenoja Niko , Kortelainen Pirkko , Mäkelä Annikki , Peltoniemi Mikko , Petäjä Jouko , Vanhala Pekka , Forsius Martin 
Published: September 2023

AbstractWe present regionally aggregated emissions of greenhouse gases (GHG) from five land cover categories in Finland: artificial surfaces, arable land, forest, waterbodies, and wetlands. Carbon (C) sequestration to managed forests and unmanaged wetlands was also assessed. Models FRES and ALas were applied for emissions (CO2, CH4, N2O) from artificial surfaces and agriculture, and PREBAS for forest growth and C balance. Empirical emission coefficients were used to estimate emissions from drained forested peatland (CH4, N2O), cropland (CO2), waterbodies (CH4, CO2), peat production sites and undrained mires (CH4, CO2, N2O). We calculated gross emissions of 147.2 ± 6.8 TgCO2eq yr−1 for 18 administrative units covering mainland Finland, using data representative of the period 2017–2025. Emissions from energy production, industrial processes, road traffic and other sources in artificial surfaces amounted to 45.7 ± 2.0 TgCO2eq yr−1. The loss of C in forest harvesting was the largest emission source in the LULUCF sector, in total 59.8 ± 3.3 TgCO2eq yr−1. Emissions from domestic livestock production, field cultivation and organic soils added up to 12.2 ± 3.5 TgCO2eq yr−1 from arable land. Rivers and lakes (13.4 ± 1.9 TgCO2eq yr−1) as well as undrained mires and peat production sites (14.7 ± 1.8 TgCO2eq yr−1) increased the total GHG fluxes. The C sequestration from the atmosphere was 93.2 ± 13.7 TgCO2eq yr−1. with the main sink in forest on mineral soil (79.9 ± 12.2 TgCO2eq yr−1). All sinks compensated 63% of total emissions and thus the net emissions were 53.9 ± 15.3 TgCO2eq yr−1, or a net GHG flux per capita of 9.8 MgCO2eq yr−1.
Statistics education research at the school level in Australia and New Zealand: A 30-year journey
Authors: Callingham Rosemary , Watson Jane 
Published: September 2023

AbstractThe introduction of statistical concepts into school curricula in Australia and New Zealand in the early 1990s initiated an ongoing research program into the learning and teaching of statistics and probability in both countries. This paper reviews the contribution of Australian and New Zealand researchers to building statistical literacy at school, alongside international developments. From recognising how students develop understanding of specific statistical and probabilistic concepts, through teacher knowledge and beliefs for teaching statistics, to intervention studies and targeted teaching, the field of statistics education has grown and changed. Statistics and probability are now well established as part of the mathematics curriculum. The importance of linking statistical literacy and statistical understanding across the curriculum, as well as in STEM, has also begun to receive attention as other subjects have recognised the importance of data in their fields. Following a comprehensive review of the field in Australia and New Zealand, this paper then considers emerging areas of interest, such as new approaches to data visualisation, and suggests future research.
Head Acceleration Events in Male Community Rugby Players: An Observational Cohort Study across Four Playing Grades, from Under-13 to Senior Men
Authors: Bussey Melanie D. , Salmon Danielle , Romanchuk Janelle , Nanai Bridie , Davidson Peter , Tucker Ross , Falvey Eanna 
Published: September 2023

Abstract
Objectives
The aim of this study was to examine the cumulative head acceleration event (HAE) exposure in male rugby players from the Under-13 (U13) to senior club level over 4 weeks of matches and training during the 2021 community rugby season.

Methods
This prospective, observational cohort study involved 328 male rugby players. Players were representative of four playing grades: U13 (N = 60, age 12.5 ± 0.6 years), U15 (N = 100, age 14.8 ± 0.9 years), U19 (N = 78, age 16.9 ± 0.7 years) and Premier senior men (N = 97, age 22.5 ± 3.1 years). HAE exposure was tracked across 48 matches and 113 training sessions. HAEs were recorded using boil-and-bite instrumented mouthguards (iMGs). The study assessed the incidence and prevalence of HAEs by ages, playing positions, and session types (match or training).

Results
For all age grades, weekly match HAE incidence was highest at lower magnitudes (10–29 g). Proportionally, younger players experienced higher weekly incidence rates during training. The U19 players had 1.36 times the risk of high-magnitude (> 30 g) events during matches, while the U13 players had the lowest risk compared with all other grades. Tackles and rucks accounted for the largest HAE burden during matches, with forwards having 1.67 times the risk of > 30 g HAEs in rucks compared with backs.

Conclusions
This study provides novel data on head accelerations during rugby matches and training. The findings have important implications for identifying populations at greatest risk of high cumulative and acute head acceleration. Findings may guide training load management and teaching of skill execution in high-risk activities, particularly for younger players who may be exposed to proportionally more contact during training and for older players during matches.
Robust pedestrian tracking in video sequences using an improved STF module
Authors: Yang Hongtao , Tang Yuchen , Yu Weibo , Li Xiulan , Zhang Peng 
Published: September 2023

AbstractObject tracking technology based on image processing has made great progress recently. Based on the track-by-detection framework, the tracking algorithms are often combined with deep neural networks to perform online target tracking. However, existing motion models assume linearity and are sensitive to sudden changes in trajectories due to occlusion, overlap, or other detection issues. In this paper, we modified the existing object tracking algorithms and introduced a strong tracking filter (STF) module to the track-by-detection framework for solving the sudden change problem of the target. The STF module is designed to have a strong ability to track sudden changes by orthogonalizing the residual sequence. When the trajectory of the target is stable, the STF module returns to the inactive state, behaving similarly to tracking algorithms that follow conventional linear models. Experimental results on a public pedestrian tracking dataset show that the proposed method improves tracking performance on various metrics, including the ability to rematch missed trajectories. Moreover, compared with existing algorithms, the proposed method exhibits strong stability under noisy conditions.
Automatic Segmentation of Head and Neck Cancer from PET-MRI Data Using Deep Learning
Authors: Liedes Joonas , Hellström Henri , Rainio Oona , Murtojärvi Sarita , Malaspina Simona , Hirvonen Jussi , Klén Riku , Kemppainen Jukka 
Published: September 2023

Abstract
Purpose
Head and neck squamous cell carcinoma (HNSCC) is one of the most common cancer types globally. Due to the complex anatomy of the region, diagnosis and treatment is challenging. Early diagnosis and treatment are important, because advanced and recurrent HNSCC have a poor prognosis. Robust and precise tools are needed to help diagnose HNSCC reliably in its early stages. The aim of this study was to assess the applicability of a convolutional neural network in detecting and auto-delineating HNSCC from PET-MRI data.

Methods
2D U-net models were trained and tested on PET, MRI, PET-MRI and augmented PET-MRI data from 44 patients diagnosed with HNSCC. The scans were taken 12 weeks after chemoradiation therapy with a curative intention. A proportion of the patients had follow-up scans which were included in this study as well, giving a total of 62 PET-MRI scans. The scans yielded a total of 178 PET-MRI slices with cancer. A corresponding number of negative slices were chosen randomly yielding a total of 356 slices. The data was divided into training, validation and test sets (n = 247, n = 43 and n = 66 respectively). Dice score was used to evaluate the segmentation accuracy. In addition, the classification capabilities of the models were assessed.

Results
When true positive segmentations were considered, the mean Dice scores for the test set were 0.79, 0.84 and 0.87 for PET, PET-MRI and augmented PET-MRI, respectively. Classification accuracies were 0.62, 0.71 and 0.65 for PET, PET-MRI and augmented PET-MRI, respectively. The MRI based model did not yield segmentation results. A statistically significant difference was found between the PET-MRI and PET models (p = 0.008).

Conclusion
Automatic segmentation of HNSCC from the PET-MRI data with 2D U-nets was shown to give sufficiently accurate segmentations.
Laboratory demonstration of the impact of weak interfaces and layered rock properties on hydraulic fracture containment and height growth
Authors: Lu Qiao , EI-Fayoumi Amr , Adachi Jose , Zaki Karim , Bunger Andrew 
Published: September 2023

AbstractHydraulic fracturing and waterflooding are both widely applied methods for improving the recovery of oil and gas resources. These methods have increasing commonality because many waterfloods are being carried out at high enough pressure to generate hydraulic fractures. Even so, it is challenging for engineers to make an optimal wellbore pressure design for layered and otherwise complex underground formations. An overly aggressive injection pressure may lead to uncontrollable fracture height growth into non-producing layers adjacent to the reservoir. In contrast, when using classical but highly simplified height growth models, the pressure limits can be far too conservative which may lead to lower recovery rates and inefficient use of resources invested in developing producing reservoirs. Therefore, it is necessary to investigate the mechanism of fracture height growth while considering the coupling effect from multiple dominated factors. This research contributes an experimental approach to evaluating the role of stresses, weak interfaces, and mechanical properties of a three-layer system in promoting or containing hydraulic fracture height growth from a central reservoir into neighboring barrier layers. In all cases, the experiments agree that the pressure required to induce substantial height growth exceeds the stress applied to the barrier layers and is far above classical predictions. Additionally, when the reservoir layer is softer than the barriers, the containment is sustained to even higher pressures than for layers with similar material properties. Finally, the experiments show that permeability of the barrier layer can induce a more sudden transition to uncontrolled height growth when fracture reaches the bedding interfaces. Hydraulic fracture height growth is mitigated by weak interfaces between layers. Unstable height growth typically requires fluid pressure to exceed the in-situ stress in the bounding layer(s). Contrasting layer stiffness and permeability often leads to further mitigation of height growth.
New insights into the chemical activation of lignins and tannins using K2CO3—a combined thermoanalytical and structural study
Authors: Guizani Chamseddine , Widsten Petri , Siipola Virpi , Paalijärvi Riina , Berg Jonathan , Pasanen Antti , Kalliola Anna , Torvinen Katariina 
Published: September 2023

AbstractEngineering of activated carbons (ACs) through chemical activation of organic precursors has been extensively studied for a wide variety of biopolymers, biomasses, wastes and other fossil-based precursors. Despite huge efforts to engineer evermore performant and sustainable ACs, “searching-for-the-best-recipe” type of studies are more the rule than the exception in the published literature. Emerging AC applications related to energy and gas storage require strict control of the AC properties and a better understanding of the fundamentals underlying their engineering. In this study, we provide new insights into the K2CO3 chemical activation of plant-based polyphenols—lignins and tannins—through careful thermoanalytical and structural analyses. We showed for the the first time that the reactivity of polyphenols during K2CO3 chemical activation depends remarkably on their purity and structural properties, such as their content of inorganics, OH functionalities and average molecular weight. We also found that the burn-off level is proportional to the K2CO3/lignin impregnation ratio (IR), but only within a certain range—high impregnation ratios are not needed, unlike often reported in the literature. Furthermore, we showed for the first time that the K2CO3 chemical activation of different carbon surfaces from lignins and tannins can be modelled using simple global solid-state decomposition kinetics. The identified activation energies lay in the range of values reported for heterogenous gas-carbon surface gasification reactions (O2-C, H2O-C, or CO2-C) in which the decomposition of C(O) surface complexes is the common rate-limiting step.
Application of OpenAI GPT-4 for the retrospective detection of catheter-associated urinary tract infections in a fictitious and curated patient data set
Authors: Perret Jasmin , Schmid Adrian 
Published: September 2023

AbstractThe use of the OpenAI GPT-4 model in detecting catheter-associated urinary tract infection (CAUTI) cases in small fictitious and curated patient data sets was investigated. Final analysis of 50 patients including 11 CAUTI cases yielded sensitivity, specificity and positive and negative predictive values of 91%, 92%, 83%, and 96%, respectively.
National validation of the Centers for Medicare & Medicaid Services strategy for identifying potential surgical-site infections following colon surgery and abdominal hysterectomy
Authors: Calderwood Michael S. , Kleinman Ken , Bruce Christina B. , Shimelman Lauren , Kaganov Rebecca E. , Platt Richard , Huang Susan S. 
Published: September 2023

AbstractObjective:National validation of claims-based surveillance for surgical-site infections (SSIs) following colon surgery and abdominal hysterectomy.Design:Retrospective cohort study.Setting:US hospitals selected for data validation by Centers for Medicare & Medicaid Services (CMS).Participants:The study included 550 hospitals performing colon surgery and 458 hospitals performing abdominal hysterectomy in federal fiscal year 2013.Methods:We requested 1,200 medical records from hospitals selected for validation as part of the CMS Hospital Inpatient Quality Reporting program. For colon surgery, we sampled 60% with a billing code suggestive of SSI during their index admission and/or readmission within 30 days and 40% who were readmitted without one of these codes. For abdominal hysterectomy, we included all patients with an SSI code during their index admission, all patients readmitted within 30 days, and a sample of those with a prolonged surgical admission (length of stay > 7 days). We calculated sensitivity and positive predictive value for the different groups.Results:We identified 142 colon-surgery SSIs (46 superficial SSIs and 96 deep and organ-space SSIs) and 127 abdominal-hysterectomy SSIs (58 superficial SSIs and 69 deep and organ-space SSIs). Extrapolating to the full CMS data validation cohort, we estimated an SSI rate of 8.3% for colon surgery and 3.0% for abdominal hysterectomy. Our colon-surgery surveillance codes identified 93% of SSIs, with 1 SSI identified for every 2.6 patients reviewed. Our abdominal-hysterectomy surveillance codes identified 73% of SSIs, with 1 SSI identified for every 1.6 patients reviewed.Conclusions:Using claims to target record review for SSI validation performed well in a national sample.
The Attorney General and contempt of court – some political and constitutional concerns
Authors: McGarry John 
Published: September 2023

AbstractThe Attorney General for England and Wales is the Government's Senior Law Officer who, inter alia, initiates certain kinds of legal proceedings. She is also a politician: a member of the House of Commons or the House of Lords and appointed to Government by the Prime Minister. This paper considers the Attorney General's role in initiating contempt proceedings against fellow politicians. I detail a number of cases where politicians have been involved in potential contempts by publication. I argue that, in such cases, the Attorney General's position may amount to an actual or perceived conflict of interest and may breach the principle that justice should be seen to be done.
Feeding habits of the sharpnose shark Rhizoprionodon longurio on the west coast of the Gulf of California, Mexico
Authors: Hernández-Aparicio Amairani , Galván-Magaña Felipe , Simental-Anguiano María Del Rosario 
Published: September 2023

Abstract
The sharpnose shark (Rhizoprionodon longurio) is among the top three shark species captured by artisanal fisheries of the Gulf of California. This study includes information regarding the feeding habits of this species using the stomach contents of 70 individuals ranged from 54 to 109 cm in total length (TL). Out of the 16 prey items identified, fish of the families Scombridae (Scomber japonicus; prey-specific relative importance index [%PSIRI] = 6.3) and Batrachoididae (%PSIRI = 5.5), the cephalopod Lolliguncula spp. (%PSIRI = 6.3), and the crustacean Pleuroncodes planipes (%PSIRI = 4.3) were the most important prey. Only female stomachs were obtained (N = 19) in the central area of the gulf, and the PSIRI indicated that the preferred prey were the cephalopod Lolliguncula spp. (%PSIRI = 10.5) and fish of the Sparidae family (Calamus brachysomus; %PSIRI = 5.8). The number of stomachs was not sufficient to analyse differences by sex. Regarding its trophic position, R. longurio was a tertiary consumer (TL
K
= 4.4). A TL
K
= 4.4 was calculated for the central area, and a TL
K
= 4.3 for the southern area. According to Levin's index (Bi), this shark is a specialist predator in the whole study area (Bi = 0.19), including the centre (Bi = 0.29). Conversely, it was considered a generalist predator in the southern area (Bi = 0.63). The high quantity of empty stomachs could relate to the time the sharks were caught in fishing a gear.
Tunis in the Global Radical Web: Diasporas, Transnational Anarchism, and Labor Movements (1887–1912)
Authors: Montalbano Gabriele 
Published: September 2023

AbstractThe paper focuses on the Italian-speaking anarchists of the end of the nineteenth century and their involvement and legacy in trade union movements and strikes in Tunis during the first decade of the twentieth century. A perspective privileging the internationalist and trade-unionist activities, and their impact on that specific colonial context, avoids the dangers of a rigid ethnoscape and methodological nationalism. Even though most of the actors of this story were considered by the states as Italian nationals, their conflictual (at least for the anarchists) nationality helps us to understand the complexity of the national-cultural belonging of subversive migrants in the Imperial Mediterranean. The ideological struggle on the subversive legacy of Giuseppe Garibaldi at the end of the nineteenth century and the conflictual relations of the trade unions with consular authorities at the beginning of the twentieth century showed an Italian-speaking internationalism in the Southern Mediterranean shore, tightly connected with the European and the American areas. Based on understudied diplomatic, colonial, and police records, this research aims at analyzing the attempts of an international working-class movement in a hierarchical colonial situation also through Italian, French, and Tunisian sources.
Diversity protects: The role of school and classroom racial/ethnic diversity on the experience of peer victimization during the middle school years
Authors: Graham Sandra , Echols Leslie 
Published: September 2023

AbstractThe effects of school and classroom racial/ethnic diversity on peer victimization, self-blame, and perceived school safety were examined in a racially/ethnically diverse sample of students followed over the three years of middle school. Sixth grade students (N = 5,991, 52% female; M = 11.63 years) were recruited from 26 urban middle schools that systematically varied in racial/ethnic diversity. Based on student self-report, the sample was 31.6% Latino/Mexican, 19.6% White, 17.4%, Multiethnic/Biracial, 13% East/Southeast Asian, 10.9% Black, and 6.9% Other very small racial/ethnic groups. Each school had a structural diversity score based on the number and size of racial/ethnic groups enrolled. Using a novel method based on course schedules and class rosters, each student’s individual exposure to diversity in their classes was assessed to capture dynamic diversity. Latent growth modeling showed that structural school diversity and dynamic classroom diversity were both related to less victimization at the start of middle school and a decrease over time. Dynamic classroom diversity buffered the associations between victimization and self-blame and between victimization and perceiving school as unsafe. Dynamic classroom diversity was more protective than structural school diversity. Implications for practice, intervention and policies to promote school racial/ethnic diversity were discussed.