bluuebunny/crossref_metadata_2025_split huggingface dataset:
Serum microRNA profile of rhesus macaques following ionizing radiation exposure and treatment with a medical countermeasure, Ex-Rad
Authors: Russ Eric , Fatanmi Oluseyi O. , Wise Stephen Y. , Carpenter Alana D. , Maniar Manoj , Iordanskiy Sergey , Singh Vijay K. 
Published: February 2024

AbstractExposure to ionizing radiation (IR) presents a formidable clinical challenge. Total-body or significant partial-body exposure at a high dose and dose rate leads to acute radiation syndrome (ARS), the complex pathologic effects that arise following IR exposure over a short period of time. Early and accurate diagnosis of ARS is critical for assessing the exposure dose and determining the proper treatment. Serum microRNAs (miRNAs) may effectively predict the impact of irradiation and assess cell viability/senescence changes and inflammation. We used a nonhuman primate (NHP) model—rhesus macaques (Macaca mulatta)—to identify the serum miRNA landscape 96 h prior to and following 7.2 Gy total-body irradiation (TBI) at four timepoints: 24, 36, 48, and 96 h. To assess whether the miRNA profile reflects the therapeutic effect of a small molecule ON01210, commonly known as Ex-Rad, that has demonstrated radioprotective efficacy in a rodent model, we administered Ex-Rad at two different schedules of NHPs; either 36 and 48 h post-irradiation or 48 and 60 h post-irradiation. Results of this study corroborated our previous findings obtained using a qPCR array for several miRNAs and their modulation in response to irradiation: some miRNAs demonstrated a temporary increased serum concentration within the first 24–36 h (miR-375, miR-185-5p), whereas others displayed either a prolonged decline (miR-423-5p) or a long-term increase (miR-30a-5p, miR-27b-3p). In agreement with these time-dependent changes, hierarchical clustering of differentially expressed miRNAs showed that the profiles of the top six miRNA that most strongly correlated with radiation exposure were inconsistent between the 24 and 96 h timepoints following exposure, suggesting that different biodosimetry miRNA markers might be required depending on the time that has elapsed. Finally, Ex-Rad treatment restored the level of several miRNAs whose expression was significantly changed after radiation exposure, including miR-16-2, an miRNA previously associated with radiation survival. Taken together, our findings support the use of miRNA expression as an indicator of radiation exposure and the use of Ex-Rad as a potential radioprotectant.
The effect of arterial spin labeling MR angiography (ASL-MRA) in visualizing the branches of external carotid artery
Authors: Yogi Akira , Ito Junji , Ishikawa Kazuki , Heianna Joichi , Sakugawa Satoshi , Aguni Narihisa , Obara Makoto , Maeda Hiroyuki , Nishie Akihiro 
Published: February 2024

AbstractThis study aimed to assess the performance of arterial-spin labeling MRA (ASL-MRA) for visualizing the external carotid artery (ECA) branches in comparison with time-of-flight MRA (TOF-MRA) and CT angiography (CTA). We retrospectively selected 31 consecutive patients, who underwent both MRAs and CTA, prior to the intra-arterial chemoradiotherapy (IACRT) for head and neck cancer. Four patients underwent IACRT bilaterally, so we analyzed 35 ECAs. Pseudo-continuous, three-dimensional ASL using a turbo field echo sequence was acquired. For the TOF-MRA and CTA, clinically used parameters were applied. Two observers evaluated each ECA branch with reference to the angiogram at the IACRT, using five-point scale, in consensus. Friedman test for multiple comparisons was applied. ASL-MRA and CTA better visualized the superior thyroid, lingual, facial, submental, transverse facial, and internal maxillary arteries (IMAs) better than TOF-MRA (p < 0.05). In addition, CTA was superior to ASL-MRA in visualizing only submental artery among these arteries (p = 0.0005). Alternatively, the ASL-MRA was superior for visualizing the middle meningeal artery (MMA) and IMA, compared to the CTA (p = 0.0001 and 0.0007, respectively). ASL-MRA was superior to the TOF-MRA and similar to the CTA in visualizing most of ECA branches. Furthermore, ASL-MRA can better visualize the periphery of MMA and IMA than CTA.
The dynamics of fishing villages along the South Atlantic Coast of North America (ca. 5000–3000 years BP)
Authors: Thompson Victor D. , Smith Karen Y. , Sanger Matthew , Garland Carey J. , Pluckhahn Thomas J. , Napora Katharine , Bedell Jennifer Dodd , Hadden Carla , Cherkinsky Alex , Cajigas Rachel , Blair Elliot H. , Semon Anna M. , Thomas David Hurst 
Published: February 2024

AbstractWe present new chronologies that inform the timing and tempo of shell ring and shell mound construction on the South Atlantic Bight. Our project combines recently acquired dates with legacy radiocarbon dates from over 25 rings and mounds to provide a higher-resolution chronology regarding the occupation and formation of this larger landscape of the earliest fishing villages along the East Coast of the United States. We resolve the ordering and timing of occupation of these rings and mounds through Bayesian statistical modeling. These new models historicize and contextualize these shell rings in ways previously impossible. Specifically, our new chronologies of these villages indicate that the earliest villages were established prior to the invention of pottery. The early period of village establishment evidences isolated village rings, whereas later periods seem to have more villages, but these appear to have been relocated to other areas and/or islands over time. Shell mounds are fewer in number, are spread throughout the time period, and may represent special purpose sites compared to shell-rings. Once villages spread, they quickly adopted new technologies (i.e., pottery) and created new institutions and practiced village relocation, which allowed this way of life to persist for more than a thousand years.
Designing and psychometric assessment of the moral intelligence scale for healthcare professionals
Authors: Mohammadi Fateme , Borzou Seyed Reza , Khazaei Salman , Bijani Mostafa , Masoumi Seyedeh Zahra , Hosseini Seyed Kianoosh 
Published: February 2024

AbstractThe moral intelligence of healthcare professionals in the cardiac operating room is one of the most important aspects of professional competence. However, moral intelligence is an abstract and multidimensional concept that needs to be clarified and described based on organizational culture and environment. Therefore, there is a need to design a specific scale for measuring the moral intelligence of healthcare professionals in the cardiac operating room. This study aims to design and assess the psychometric properties of a moral intelligence scale for healthcare professionals in the cardiac operating room. The present study was a mixed method study with a sequential exploratory approach. The research was conducted in 2023–2024 in Iran. The first phase data were collected from 20 healthcare professionals and were analyzed by conventional content analysis method. In the second phase, the validity and reliability of the instrument were evaluated by involving 300 healthcare professionals in the cardiac operating room. The moral intelligence of health care professionals in the cardiac operating room was defined as moral sensitivity combined with moral commitment and moral courage for the provision of quality care that respects the principles of medical ethics. After deducing the conceptual framework, the moral intelligence scale for healthcare professionals in the cardiac operating room was developed with three dimensions: “moral sensitivity,” “moral commitment,” and “moral courage.” 11 items were removed during testing to ensure content validity. Face validity was confirmed with impact scores > 1.5 for all items. A scale was developed through factor analysis with three factors that accounted for 73.04% of the observed variance. The instrument’s reliability using Cronbach’s alpha coefficient calculation was reported as 0.94 for the entire instrument. The testretest showed no statistically significant difference between the pre and post-test scores of moral intelligence (p = 0.51). The moral intelligence scale demonstrated acceptable psychometric properties. The moral intelligence scale for health care professionals in the cardiac operating room demonstrated acceptable psychometric properties. This instrument may serve to assess the moral intelligence of healthcare professionals and determine the need for educational interventions to reduce the ethical challenges and improve the moral intelligence of this healthcare.
Evaluative contexts facilitate implicit mentalizing: relation to the broader autism phenotype and mental health
Authors: Wu Ruihan , Leow Karen , Yu Nicole , Rafter Ciara , Rosenbaum Katia , F. de C. Hamilton Antonia , White Sarah J. 
Published: February 2024

AbstractOne promising account for autism is implicit mentalizing difficulties. However, this account and even the existence of implicit mentalizing have been challenged because the replication results are mixed. Those unsuccessful replications may be due to the task contexts not being sufficiently evaluative. Therefore, the current study developed a more evaluative paradigm by implementing a prompt question. This was assessed in 60 non-autistic adults and compared with a non-prompt version. Additionally, parents of autistic children are thought to show a genetic liability to autistic traits and cognition and often report mental health problems, but the broader autism phenotype (BAP) is an under-researched area. Thus, we also aimed to compare 33 BAP and 26 non-BAP mothers on mentalizing abilities, autistic traits, compensation and mental health. Our results revealed that more evaluative contexts can facilitate implicit mentalizing in BAP and non-BAP populations, and thus improve task reliability and replicability. Surprisingly, BAP mothers showed better implicit mentalizing but worse mental health than non-BAP mothers, which indicates the heterogeneity in the broader autism phenotype and the need to promote BAP mothers’ psychological resilience. The findings underscore the importance of contexts for implicit mentalizing and the need to profile mentalizing and mental health in BAP parents.
A hybrid machine learning-based model for predicting flight delay through aviation big data
Authors: Dai Min 
Published: February 2024

AbstractThe prediction of flight delays is one of the important and challenging issues in the field of scheduling and planning flights by airports and airlines. Therefore, in recent years, we have witnessed various methods to solve this problem using machine learning techniques. In this article, a new method is proposed to address these issues. In the proposed method, a group of potential indicators related to flight delay is introduced, and a combination of ANOVA and the Forward Sequential Feature Selection (FSFS) algorithm is used to determine the most influential indicators on flight delays. To overcome the challenges related to large flight data volumes, a clustering strategy based on the DBSCAN algorithm is employed. In this approach, samples are clustered into similar groups, and a separate learning model is used to predict flight delays for each group. This strategy allows the problem to be decomposed into smaller sub-problems, leading to improved prediction system performance in terms of accuracy (by 2.49%) and processing speed (by 39.17%). The learning model used in each cluster is a novel structure based on a random forest, where each tree component is optimized and weighted using the Coyote Optimization Algorithm (COA). Optimizing the structure of each tree component and assigning weighted values to them results in a minimum 5.3% increase in accuracy compared to the conventional random forest model. The performance of the proposed method in predicting flight delays is tested and compared with previous research. The findings demonstrate that the proposed approach achieves an average accuracy of 97.2% which indicates a 4.7% improvement compared to previous efforts.
Mathematical modeling of cholera dynamics with intrinsic growth considering constant interventions
Authors: Brhane Kewani Welay , Ahmad Abdulaziz Garba , Hina Hina , Emadifar Homan 
Published: February 2024

AbstractA mathematical model that describes the dynamics of bacterium vibrio cholera within a fixed population considering intrinsic bacteria growth, therapeutic treatment, sanitation and vaccination rates is developed. The developed mathematical model is validated against real cholera data. A sensitivity analysis of some of the model parameters is also conducted. The intervention rates are found to be very important parameters in reducing the values of the basic reproduction number. The existence and stability of equilibrium solutions to the mathematical model are also carried out using analytical methods. The effect of some model parameters on the stability of equilibrium solutions, number of infected individuals, number of susceptible individuals and bacteria density is rigorously analyzed. One very important finding of this research work is that keeping the vaccination rate fixed and varying the treatment and sanitation rates provide a rapid decline of infection. The fourth order Runge–Kutta numerical scheme is implemented in MATLAB to generate the numerical solutions.
Dietary polyamines promote intestinal adaptation in an experimental model of short bowel syndrome
Authors: Kasahara Naoya , Teratani Takumi , Yokota Shinichiro , Sakuma Yasunaru , Sasanuma Hideki , Fujimoto Yasuhiro , Ijichi Tetsuo , Urahashi Taizen , Yoshitomi Hideyuki , Kitayama Joji , Sata Naohiro 
Published: February 2024

AbstractIntestinal adaptation does not necessarily recover absorptive capacity in short bowel syndrome (SBS), sometimes resulting in intestinal failure-associated liver disease (IFALD). Additionally, its therapeutic options remain limited. Polyamines (spermidine and spermine) are known as one of the autophagy inducers and play important roles in promoting the weaning process; however, their impact on intestinal adaptation is unknown. The aim of this study was to investigate the impact of polyamines ingestion on adaptation and hepatic lipid metabolism in SBS. We performed resection of two-thirds of the small intestine in male Lewis rats as an SBS model. They were allocated into three groups and fed different polyamine content diets (0%, 0.01%, 0.1%) for 30 days. Polyamines were confirmed to distribute to remnant intestine, whole blood, and liver. Villous height and number of Ki-67-positive cells in the crypt area increased with the high polyamine diet. Polyamines increased secretory IgA and mucin content in feces, and enhanced tissue Claudin-3 expression. In contrast, polyamines augmented albumin synthesis, mitochondrial DNA copy number, and ATP storage in the liver. Moreover, polyamines promoted autophagy flux and activated AMP-activated protein kinase with suppression of lipogenic gene expression. Polyamines ingestion may provide a new therapeutic option for SBS with IFALD.
Using machine learning to predict five-year transplant-free survival among infants with hypoplastic left heart syndrome
Authors: Smith Andrew H. , Gray Geoffrey M. , Ashfaq Awais , Asante-Korang Alfred , Rehman Mohamed A. , Ahumada Luis M. 
Published: February 2024

AbstractHypoplastic left heart syndrome (HLHS) is a congenital malformation commonly treated with palliative surgery and is associated with significant morbidity and mortality. Risk stratification models have often relied upon traditional survival analyses or outcomes data failing to extend beyond infancy. Individualized prediction of transplant-free survival (TFS) employing machine learning (ML) based analyses of outcomes beyond infancy may provide further valuable insight for families and healthcare providers along the course of a staged palliation. Data from both the Pediatric Heart Network (PHN) Single Ventricle Reconstruction (SVR) trial and Extension study (SVR II), which extended cohort follow up for five years was used to develop ML-driven models predicting TFS. Models incrementally incorporated features corresponding to successive phases of care, from pre-Stage 1 palliation (S1P) through the stage 2 palliation (S2P) hospitalization. Models trained with features from Pre-S1P, S1P operation, and S1P hospitalization all demonstrated time-dependent area under the curves (td-AUC) beyond 0.70 through 5 years following S1P, with a model incorporating features through S1P hospitalization demonstrating particularly robust performance (td-AUC 0.838 (95% CI 0.836–0.840)). Machine learning may offer a clinically useful alternative means of providing individualized survival probability predictions, years following the staged surgical palliation of hypoplastic left heart syndrome.
Mixed methods research on satisfaction with athletes’ compensation
Authors: Li Qianqian , Li Shuo , Zhao Huan , Jiao Lu , Han Xiao 
Published: February 2024

AbstractThis study explores the factors influencing athletes’ compensation satisfaction and their configuration effects. A mixed research approach that combines regression analysis and fuzzy-set qualitative comparative analysis (fsQCA) was applied to process the survey data of 352 athletes from six provinces. The regression analysis results demonstrate that economic compensation, the compensation system, the external environment, and compensation fairness all have a significant positive effect on athletes’ compensation satisfaction. Accordingly, the fsQCA approach was applied to explore the combined effects of the factors influencing athletes’ compensation satisfaction, which verifies the conclusions drawn from regression analysis and provides improvement paths for increasing athletes’ compensation satisfaction.
Exploring the neural underpinnings of chord prediction uncertainty: an electroencephalography (EEG) study
Authors: Ono Kentaro , Mizuochi Ryohei , Yamamoto Kazuki , Sasaoka Takafumi , Ymawaki Shigeto 
Published: February 2024

AbstractPredictive processing in the brain, involving interaction between interoceptive (bodily signal) and exteroceptive (sensory) processing, is essential for understanding music as it encompasses musical temporality dynamics and affective responses. This study explores the relationship between neural correlates and subjective certainty of chord prediction, focusing on the alignment between predicted and actual chord progressions in both musically appropriate chord sequences and random chord sequences. Participants were asked to predict the final chord in sequences while their brain activity was measured using electroencephalography (EEG). We found that the stimulus preceding negativity (SPN), an EEG component associated with predictive processing of sensory stimuli, was larger for non-harmonic chord sequences than for harmonic chord progressions. Additionally, the heartbeat evoked potential (HEP), an EEG component related to interoceptive processing, was larger for random chord sequences and correlated with prediction certainty ratings. HEP also correlated with the N5 component, found while listening to the final chord. Our findings suggest that HEP more directly reflects the subjective prediction certainty than SPN. These findings offer new insights into the neural mechanisms underlying music perception and prediction, emphasizing the importance of considering auditory prediction certainty when examining the neural basis of music cognition.
Coal and gas protrusion risk evaluation based on cloud model and improved combination of assignment
Authors: Qi Yun , Xue Kailong , Wang Wei , Cui Xinchao , Liang Ran , Wu Zewei 
Published: February 2024

AbstractThe proposed study presents an enhanced combination weighting cloud model for accurate assessment of coal and gas outburst risks. Firstly, a comprehensive evaluation index system for coal and gas outburst risks is established, consisting of primary indicators such as coal rock properties and secondary indicators including 13 factors. Secondly, the improved Analytic Hierarchy Process (IAHP) based on the 3-scale method and the improved CRITIC based on indicator correlation weight determination method are employed to determine subjective and objective weights of evaluation indicators respectively. Additionally, the Lagrange multiplier method is introduced to fuse these weights in order to obtain optimal weights. Subsequently, a prominent danger assessment model is developed based on cloud theory. Finally, using a mine in Hebei Province as an example, the results obtained from IAHP combined with improved CRITIC weighting method are compared with those from traditional AHP method and AHP-CRITIC combination weighting method. The findings demonstrate that among all methods considered, IAHP combined with improved CRITIC exhibits superior performance in terms of distribution expectation Ex, entropy value En, and super entropy He within cloud digital features; thus indicating that the risk level of coal and gas outbursts in this particular mine can be classified as general risk. These evaluation results align well with actual observations thereby validating the effectiveness of this approach. Consequently, this constructed model enables rapid yet accurate determination of coal and gas outburst risks within mines.
Intestinal metabolomics in premature infants with late-onset sepsis
Authors: Liu Jingfei , Zhang Li , Li Dong , Yu Xiaotong , Gao Ying , Zhou Ying 
Published: February 2024

AbstractWe aimed to investigate the characteristics of intestinal metabolomics and non-invasive biomarkers for early diagnosis of late-onset sepsis (LOS) by analyzing gut metabolites in preterm infants with LOS. We collected stool samples from septic and healthy preterm infants for analysis by liquid chromatography–mass spectrometry. 123 different metabolites were identified and 13 pathways were mainly involved. Glycine, serine, and threonine metabolism; glyoxylate and dicarboxylic acid metabolism; glutathione metabolism; primary bile acid biosynthesis; steroid synthesis; pentose and glucuronic acid interconversion may be involved in the pathogenesis of LOS in preterm infants. The significant changes of N-Methyldopamine, cellulose, glycine, gamma-Glutamyltryptophan, N-Ribosylnicotinamide and 1alpha, 25-dihydroxycholecalciferol showed specific diagnostic values and as non-invasive biomarkers for LOS.