bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study of sex-biased differences in genomic profiles in East Asian hepatocellular carcinoma
Authors: Huang Chung-Yu , Tan Kien-Thiam , Huang Shiu-Feng , Lu Yen-Jung , Wang Yeh-Han , Chen Shu-Jen , Tse Ka-Po 
Published: July 2024

AbstractHepatocellular carcinoma (HCC) is characterized by a notable sex disparity in incidence and tumor aggressiveness. Revealing differences in genetic landscapes between male and female HCCs may expand the understanding of sexual disparities mechanisms and assist the development of precision medicine. Although reports on the sex disparity of HCC are accumulated, studies focusing on sex-related biomarkers among Asian populations remain limited. Here, we conducted a comprehensive genomic profiling analysis to explore differences between male and female patients within a cohort of 195 Taiwanese HCC patients. We did not detect any sex-biased genomic alterations. However, when our investigation extended to the TCGA dataset, we found higher frequencies of gene copy gains in CCNE2 and mutations in CTNNB1 and TP53 among male patients. Besides, we further evaluated the associations between genomic alterations and patients’ prognosis by sex. The results showed that female patients harboring tumors with STAT3 gain and alterations in the JAK–STAT pathway displayed a poor prognosis. These two factors remained independently associated with unfavorable prognosis even after adjusting for the patient’s age and stage characteristics (Hazard ratio = 10.434, 95% CI 3.331–32.677, P < 0.001; Hazard ratio = 2.547, 95% CI 1.195–5.432, P = 0.016, respectively). In summary, this study provides valuable insights into understanding sex disparity in HCC in the East Asian population. Validation through larger cohorts and extensive sequencing efforts is warranted.
Literacy and Financial Education: Private Providers, Public Certification and Political Preferences
Authors: Guerini Carolina , Masciandaro Donato , Papini Alessia 
Published: July 2024

AbstractFinancial education can influence the level of financial literacy. In many countries public authorities implement financial education policy by means of ex ante certification of both private and public providers of education activities. This article uses political economy, educational marketing and text analysis as complementary tools to offer a positive analysis of such setting. Being financial education a credence good and given the key assumption that financial literacy is a country state–contingent endowment that deteriorates, as a consequence of innovation, the third-party certification can be considered as a strategic governance solution. Yet, when a public agency acts as third-party certifier, political and bureaucratic incentives shape its action. In particular, political activism in financial education can be motivated by financial instability worries. Such theoretical relationship is empirically confirmed applying text analyses, and using financial education narrative as a proxy for activism both for the politicians of the European Parliament and the bureaucrats of the ECB in the period 1997–2024.
Reining in the Behemoths for the Common Good? An Analysis of State Control of State-Owned Enterprises and the Pathway to Better Governance in China
Authors: Xun Sarah Xiao , Weng Charlie Xiao-chuan 
Published: July 2024

AbstractThe state-owned enterprise (SOE) is the most significant business form in China. In the planned economy era, the state employed SOEs to implement economic policy and to provide employment opportunities. After entering the marketization era, the state still expects SOEs to preserve the state assets and fulfill political goals, notwithstanding the governance issues facing SOEs. SOEs do not generally perform as well as private corporations worldwide and the existing literature attempts to explain the reasons for poor governance problems from many different perspectives. SOEs in China have many distinctive characteristics compared to their counterparts overseas. The ways in which the state exercises its control over SOEs are the primary reasons for creating the vital distinctive characteristics that invite SOEs’ poor governance problems in China. The three most significant problems are discussed here. First, over-politicization and bureaucracy lower SOEs’ operational efficiency. Second, the board of directors (BOD) fails to perform its traditional role in corporate governance in serving the corporate interests. Third, the comprehensive involvement of the Communist Party in China (CPC) needs to be regulated and the accountability of internal organs should be extended to the party committees within the companies. We submit that the existing SOE supervision and control methods need to be changed to clarify the for-profit purpose of SOEs. The BOD needs uninterrupted business management power and the party activities should follow party rules and company law to make party cadres accountable for their business decisions.
Geospatial assessment of built environment on land surface temperature in district Sheikhupura, Punjab Pakistan
Authors: Ashraf Taimoor , Aslam Jazeela , Mehmood Muhammad Sajid , Ahamad Muhammad Irfan , Rehman Adnanul 
Published: July 2024

AbstractThe built environment is associated with higher air and surface temperatures in urban areas compared to rural counterparts. This study focuses on the Sheikhupura district in Punjab, Pakistan, where rapid urbanization and deforestation have significantly impacted land surface temperature (LST) from 2000 to 2020. Utilizing Geographic Information Systems (GIS) and Remote Sensing (RS) techniques, four Landsat images from the United States Geological Survey (USGS) were analyzed to assess spatiotemporal variations in LULC and LST. The single infrared channel approach was employed to calculate LST, and LULC maps were created using supervised classification for the years 2000, 2010, and 2020. The results indicate a substantial increase in built-up areas from 66.9708 square kilometers in 2000 to 259.8147 square kilometers in 2020, accompanied by a significant reduction in vegetation and agricultural land. Correspondingly, the maximum LST rose from 28.9354 °C in 2000 to 31.5173 °C in 2020, highlighting the urban heat island effect. Zonal statistics revealed a decrease in mean high temperatures from 24.45 to 20.3 °C over the same period, suggesting variability in temperature distribution due to changes in land cover types. These findings underscore the need for sustainable urban planning to mitigate the adverse effects of urbanization on local climates. Future work should focus on developing strategies to increase green spaces and reforestation efforts to counteract rising temperatures. Additionally, further research is recommended to explore the long-term impacts of these changes on local biodiversity and ecosystem services, providing a holistic approach to urban sustainability.
Vertical Structure and Energetic Constraints for a Backscatter Parameterization of Ocean Mesoscale Eddies
Authors: Yankovsky Elizabeth , Bachman Scott , Smith K. Shafer , Zanna Laure 
Published: July 2024

AbstractMesoscale eddies modulate the stratification, mixing, tracer transport, and dissipation pathways of oceanic flows over a wide range of spatiotemporal scales. The parameterization of buoyancy and momentum fluxes associated with mesoscale eddies thus presents an evolving challenge for ocean modelers, particularly as modern climate models approach eddy‐permitting resolutions. Here we present a parameterization targeting such resolutions through the use of a subgrid mesoscale eddy kinetic energy budget (MEKE) framework. Our study presents two novel insights: (a) both the potential and kinetic energy effects of eddies may be parameterized via a kinetic energy backscatter, with no Gent‐McWilliams along‐isopycnal transport; (b) a dominant factor in ensuring a physically‐accurate backscatter is the vertical structure of the parameterized momentum fluxes. We present simulations of 1/2° and 1/4° resolution idealized models with backscatter applied to the equivalent barotropic mode. Remarkably, the global kinetic and potential energies, isopycnal structure, and vertical energy partitioning show significantly improved agreement with a 1/32° reference solution. Our work provides guidance on how to parameterize mesoscale eddy effects in the challenging eddy‐permitting regime.
Automated River Substrate Mapping From Sonar Imagery With Machine Learning
Authors: Bodine C. S. , Buscombe D. , Hocking T. D. 
Published: July 2024

AbstractKnowledge of the variation and distribution of substrates at large spatial extents in aquatic systems, particularly rivers, is severely lacking, impeding species conservation and ecosystem restoration efforts. Recreation‐grade side‐scan sonar (SSS) instruments have demonstrated their unparalleled value as a low‐cost scientific instrument capable of efficient and rapid imaging of the benthic environment. However, existing methods for generating georeferenced data sets from these instruments, especially substrate maps, remain a barrier of adoption for scientific inquiry due to the high degree of human intervention and required expertise. To address this shortcoming, we introduced PING‐Mapper, an open‐source and freely available Python‐based software for automatically generating geospatial benthic data sets from popular Humminbird® instruments reproducibly. The previously released Version 1.0 of the software provided automated workflows for exporting georeferenced sonar imagery. This study extends functionality with version 2.0 by incorporating semantic segmentation with deep neural networks to reproducibly map substrates at large spatial extents. We present a novel approach for generating label‐ready sonar data sets, creating label‐image training sets, and model training with transfer learning; all with open‐source tools. The six‐class substrate model achieves an overall accuracy of 78% and the best performing class achieves 91%. Grouping substrates into three classes further improves the overall accuracy (87%) and best performing class accuracy (94%). Additional workflows enable masking sonar shadows, calculating independent bed picks and correcting attenuation effects in the imagery to improve interpretability. This software provides an improved mechanism for automatically mapping substrate distribution from recreation‐grade SSS systems, thereby lowering the barrier for inclusion in wider aquatic research.
Skin carotenoid scores and metabolic syndrome in a general Japanese population: the Hisayama study
Authors: Kimura Yasumi , Hata Jun , Shibata Mao , Honda Takanori , Sakata Satoko , Furuta Yoshihiko , Oishi Emi , Kitazono Takanari , Ninomiya Toshiharu 
Published: July 2024

Abstract
Background
Higher vegetable intake is being promoted as an initiative to prevent lifestyle-related diseases. Carotenoids are yellow or red pigment components and are widely present in vegetables. Since ingested carotenoids accumulate in the skin, skin carotenoid levels are a quantitative indicator of vegetable intake. Recently, noninvasive optical sensors for assessing skin carotenoid levels were developed. We here examined the association between skin carotenoid scores measured using optical sensors and the presence of metabolic syndrome.

Methods
A total of 1618 individuals (604 men and 1014 women) aged ≥ 40 years (mean age 63.1 years) participated in the study. Skin carotenoid scores were determined using a noninvasive optical sensor based on multiple spatially resolved reflectance spectroscopy. Metabolic syndrome was defined based on the Joint Scientific Statement criteria developed by six international scientific societies. Multivariable-adjusted logistic regression models were used.

Results
The prevalence of metabolic syndrome was 31.3% (n = 506). A remarkably strong association was found between higher skin carotenoid scores and lower prevalence of metabolic syndrome after adjusting for confounders. The multivariable-adjusted odds ratio for the presence of metabolic syndrome in individuals with the highest quartile of skin carotenoid scores was 0.39 (95% confidence interval, 0.28–0.55) compared to those with the lowest quartile.

Conclusions
Our findings suggest that higher skin carotenoid scores measured by non-invasive optimal sensors are significantly associated with a lower likelihood of having metabolic syndrome in the general Japanese population.
Clinical assessment of breastfeeding in preterm infants
Authors: Kinoshita Meredith , White Martin J. , Doolan Anne 
Published: July 2024

AbstractBreastmilk confers empirical benefits for preterm infants, however direct breastfeeding rates in this population remain low. For preterm infants, it may be useful to assess the volume of breastmilk transferred from mother to baby when breastfeeding, particularly during transition to oral feeding when breastfeeding attrition is high. Establishing breastfeeding in preterm infants is complex and without knowledge of milk intake during breastfeeds there is risk of inaccurate feed supplementation with subsequent effects on growth and nutrition. Here we review the evidence for clinical assessments of breastfeeding in preterm infants including test weighing, use of isotope labelled water and clinical observation tools designed to estimate adequacy of breastfeeds. Test weighing is a validated measurement, however requires rigorous protocols and further investigation in small infants. Use of isotope labelled water is a validated technique but, due to sampling requirements, reflects intake over days and weeks instead of individual feeds. Clinical observation tools assessed in preterm infants, have not been shown to reflect volumes of breastmilk intake. While current methods have limitations, the goal is to identify measurement tools to be used as temporary aids to facilitate transition to direct breastfeeding while minimising risk of inaccurate supplementation.
A complete chromosome substitution mapping panel reveals genome-wide epistasis in Arabidopsis
Authors: Wijnen Cris L. , Botet Ramon , van de Belt José , Deurhof Laurens , de Jong Hans , de Snoo C. Bastiaan , Dirks Rob , Boer Martin P. , van Eeuwijk Fred A. , Wijnker Erik , Keurentjes Joost J. B. 
Published: July 2024

AbstractChromosome substitution lines (CSLs) are tentatively supreme resources to investigate non-allelic genetic interactions. However, the difficulty of generating such lines in most species largely yielded imperfect CSL panels, prohibiting a systematic dissection of epistasis. Here, we present the development and use of a unique and complete panel of CSLs in Arabidopsis thaliana, allowing the full factorial analysis of epistatic interactions. A first comparison of reciprocal single chromosome substitutions revealed a dependency of QTL detection on different genetic backgrounds. The subsequent analysis of the complete panel of CSLs enabled the mapping of the genetic interactors and identified multiple two- and three-way interactions for different traits. Some of the detected epistatic effects were as large as any observed main effect, illustrating the impact of epistasis on quantitative trait variation. We, therefore, have demonstrated the high power of detection and mapping of genome-wide epistasis, confirming the assumed supremacy of comprehensive CSL sets.
GEB-YOLO: a novel algorithm for enhanced and efficient detection of foreign objects in power transmission lines
Authors: Zheng Jiangpeng , Liu Hao , He Qiuting , Hu Jinfu 
Published: July 2024

AbstractDetecting foreign objects in power transmission lines is essential for mitigating safety risks and maintaining line stability. Practical detection, however, presents challenges including varied target sizes, intricate backgrounds, and large model weights. To address these issues, this study introduces an innovative GEB-YOLO model, which balances detection performance and quantification. Firstly, the algorithm features a lightweight architecture, achieved by merging the GhostConv network with the advanced YOLOv8 model. This integration considerably lowers computational demands and parameters through streamlined linear operations. Secondly, this paper proposes a novel EC2f mechanism, a groundbreaking feature that bolsters the model’s information extraction capabilities. It enhances the relationship between weights and channels via one-dimensional convolution. Lastly, the BiFPN mechanism is employed to improve the model’s processing efficiency for targets of different sizes, utilizing bidirectional connections and swift feature fusion for normalization. Experimental results indicate the model’s superiority over existing models in precision and mAP, showing improvements of 3.7 and 6.8%, respectively. Crucially, the model’s parameters and FLOPs have been reduced by 10.0 and 7.4%, leading to a model that is both lighter and more efficient. These advancements offer invaluable insights for applying laser technology in detecting foreign objects, contributing significantly to both theory and practice.
Design, synthesis, in vitro, and in silico anti-α-glucosidase assays of N-phenylacetamide-1,2,3-triazole-indole-2-carboxamide derivatives as new anti-diabetic agents
Authors: Sayahi Mohammad Hossein , Zareei Samira , Halimi Mohammad , Alikhani Majid , Moazzam Ali , Mohammadi-Khanaposhtani Maryam , Mojtabavi Somayeh , Faramarzi Mohammad Ali , Rastegar Hossein , Taslimi Parham , Ibrahim Essam H. , Ghramh Hamed A. , Larijani Bagher , Mahdavi Mohammad 
Published: July 2024

AbstractIn this work, a novel series of N-phenylacetamide-1,2,3-triazole-indole-2-carboxamide derivatives 5a–n were designed by consideration of the potent α-glucosidase inhibitors containing indole and carboxamide-1,2,3-triazole-N-phenylacetamide moieties. These compounds were synthesized by click reaction and evaluated against yeast α-glucosidase. All the newly title compounds demonstrated superior potency when compared with acarbose as a standard inhibitor. Particularly, compound 5k possessed the best inhibitory activity against α-glucosidase with around a 28-fold improvement in the inhibition effect in comparison standard inhibitor. This compound showed a competitive type of inhibition in the kinetics. The molecular docking and dynamics demonstrated that compound 5k with a favorable binding energy well occupied the active site of α-glucosidase.
Analytical quaternion-based bias estimation algorithm for fast and accurate stationary gyro-compassing
Authors: Mohammadkarimi H. , Mozafari S. , Alizadeh M. H. 
Published: July 2024

AbstractThis work introduces a novel approach to Strapdown Inertial Navigation System (SINS) alignment, distinct from recursive methods like Kalman filtering. The proposed methodology expedites bias error calculations by utilizing quaternion-based analytical relationships, which bypasses the slow convergence behavior associated with recursive algorithms, particularly in azimuth angle error estimation. In addition, the proposed approach demonstrates comparable accuracy to traditional fine alignment methods. Simulations and experiments validate that in contrast to the 10-min time requirement of traditional fine alignment methods (for azimuth angle estimation in stationary conditions), the proposed approach achieves the same accuracy within 20 s. However, limitations exist as the algorithm is applicable only in stationary conditions, and necessitating a high-grade IMU capable of measuring the earth’s rotation rate.
Adaptive fixed-time fuzzy containment control for uncertain nonlinear multiagent systems with unmeasurable states
Authors: Liu Ruixia , Xing Lei , Zhong Yongjian , Deng Hong , Zhong Weichao 
Published: July 2024

AbstractThis paper addresses the adaptive fixed-time fuzzy containment control for uncertain nonlinear multiagent systems, where the states and nonlinear functions are not feasible for the controller design. To address the issue of unmeasurable states, a state observer is developed, and fuzzy logic systems are utilized to approximate unknown nonlinear functions. Under the framework of fixed-time Lyapunov function theory and cooperative control, an adaptive fixed-time fuzzy containment control protocol is derived via the adaptive backstepping and adding one power integrator method. The derived fixed-time containment controller can confirm that the closed-loop systems are practical fixed-time stable, which implies that all signals in the systems are bounded and all follower agents can converge to the convex hull formed by the leader agents within fixed-time in the presence of unmeasurable states and unknown nonlinear functions . Simulation examples are conducted to test the validity of the present control algorithm.
Jahn-Teller effect and features of divalent copper ion behavior in multicomponent borate crystals
Authors: Minikayev Roman , Prokhorov Aleksandr , Lančok Jan , Prokhorov Andrey 
Published: July 2024

AbstractCrystals of YGa3(BO3)4, YAl3(BO3)4, EuGa3(BO3)4 and EuAl3(BO3)4 with copper alloy were studied by electron paramagnetic resonance and X-ray diffraction analysis. The lattice parameters and coordinates of copper-doped boron atoms were determined. The study of EPR spectra showed that copper is in the divalent state and replaces aluminum ions with C2 node symmetry. In YAl3(BO3)4:Cu crystals, a ligand structure exists due to the interaction of copper electrons with yttrium nuclei. The parameters of the spin Hamiltonian describing the behavior of the Cu2+ spectrum have been determined. The deviation of the Z-axis spectra from the C3 axis by 54(1)° is due to Jahn-Teller vibronic interaction and monoclinic distortion. In the EuGa3(BO3)4 crystal, a new spectrum 2 was found, which also belongs to divalent copper but is observed at an excited state 31 cm−1 away from the ground state. Above 70 K, an isotropic EPR line with a width of 450 Gs, g = 2.1, appears and exists up to room temperature.
Restoring private autism dataset from sanitized database using an optimized key produced from enhanced combined PSO-GWO framework
Authors: Rahman Md. Mokhlesur , Muniyandi Ravie Chandren , Sahran Shahnorbanun , Usman Opeyemi Lateef , Moniruzzaman Md. 
Published: July 2024

AbstractThe timely identification of autism spectrum disorder (ASD) in children is imperative to prevent potential challenges as they grow. When sharing data related to autism for an accurate diagnosis, safeguarding its security and privacy is a paramount concern to fend off unauthorized access, modification, or theft during transmission. Researchers have devised diverse security and privacy models or frameworks, most of which often leverage proprietary algorithms or adapt existing ones to address data leakage. However, conventional anonymization methods, although effective in the sanitization process, proved inadequate for the restoration process. Furthermore, despite numerous scholarly contributions aimed at refining the restoration process, the accuracy of restoration remains notably deficient. Based on the problems identified above, this paper presents a novel approach to data restoration for sanitized sensitive autism datasets with improved performance. In the prior study, we constructed an optimal key for the sanitization process utilizing the proposed Enhanced Combined PSO-GWO framework. This key was implemented to conceal sensitive autism data in the database, thus avoiding information leakage. In this research, the same key was employed during the data restoration process to enhance the accuracy of the original data recovery. Therefore, the study enhanced the restoration process for ASD data's security and privacy by utilizing an optimal key produced via the Enhanced Combined PSO-GWO framework. When compared to existing meta-heuristic algorithms, the simulation results from the autism data restoration experiments demonstrated highly competitive accuracies with 99.90%, 99.60%, 99.50%, 99.25%, and 99.70%, respectively. Among the four types of datasets used, this method outperforms other existing methods on the 30-month autism children dataset, mostly.