bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Landscape of Research on Contextualized Science Learning: A Bibliometric Network Review
Authors: Giamellaro Michael , Buxton Cory , Taylor Joseph , Ayotte‐Beaudet Jean‐Philippe , L'Heureux Kassandra , Beaudry Marie‐Claude 
Published: January 2025

ABSTRACTThe vast and rapidly growing amount of science education research makes it challenging for researchers to navigate and synthesize developments across the field, particularly concerning broad concepts evolving along divergent paths. To address this issue, a novel review methodology employing bibliometrics and network analysis was tested to identify and characterize clusters of research focused on the relationship between school‐based science learning and contexts where that science is applied, experienced, observable, or otherwise relevant (e.g., socio‐scientific inquiry, place‐based learning, culturally‐responsive pedagogy). Using a sample of 935 academic papers, the bibliometric network analysis revealed the landscape of contextualized science learning research, identifying 13 distinct clusters of scholarship. Bibliometric and qualitative data were used to describe the research trends within clusters and confirm they were conceptually meaningful and distinct. This methodology facilitated greater understanding of how research can become clustered into “invisible colleges” over time, offering a synthesis approach to grasp interrelated lines of research within an evolving landscape. The methodology has potential to identify other schools of thought or overarching themes in science education, enhancing researchers’ ability to perceive the field as a coherent landscape of interconnected ideas or to identify specific research trajectories within a broad concept.
Efficient Photocatalytic Degradation of RhB in Water via Co3O4 and F‐Doped Carbon Nitride Heterojunction
Authors: Chen Linbo , Zhu Yingying , Wang Di , Zhu Jinyuan , Ren Yumeng , Chen Geng 
Published: January 2025

AbstractPhotocatalysis is an effective solution to degrade organic dye discharge in wastewater treatment due to its efficiency, environmental friendliness and cost‐effectiveness. However, issues such as limited visible light absorption and rapid charge carrier recombination hinder its practical use. In this research, the heterojunction (Co─FCN) composed of carbon fluoride nitride and cobalt tetroxide (Co3O4) was successfully prepared by a simple one‐pot pyrolysis method. The obtained nanocomposites showed their efficiency as photocatalyst in the photodecomposition of Rhodamine B (RhB). The relationship between microstructure and properties of photocatalyst was studied in detail by means of characterization techniques. The results showed that the RhB degradation efficiency of Co3─FCN was 92.91% within 60 min irradiation time. The results of free radical scavenging experiments show that superoxide anion (·O2−) and hydroxyl radical (·OH) are the main active species in Co─FCN composite catalysts. In addition, the potential degradation pathway of RhB was inferred based on the intermediates detected by liquid chromatography mass spectrometry (LC‐MS), and the preliminary photocatalytic reaction mechanism of Co─FCN heterogeneous catalyst was constructed accordingly. Therefore, this research provides new insights into the preparation and modification of CN photocatalysts, thereby promoting the application potential of efficient photocatalysts in the degradation of organic pollutants.
Novel Self‐Powered Sensitive X‐Ray Detection Crystal Bi2Mo0.36W1.64O9 with Effective Functional Motif Coupling in a Quasi‐2D Perovskite Structure
Authors: Liu Lishan , Zhou Hanyue , Liu Jingquan , Tian Xiangxin , Gao Zeliang 
Published: January 2025

AbstractThe demand for medical imaging with reduced patient dosage and higher resolution is growing, driving the need for advanced X‐ray detection technologies. This paper proposes a design paradigm for X‐ray detection semiconductors by coupling constituent motifs through crystal structure engineering. The study introduces a strongly anisotropic Aurivillius‐type quasi‐2D perovskite structure, combining [Bi2O2]2+ groups with stereochemically active lone pair electrons (SCALPEs) and [W/Mo2O7]2− anionic groups, enabling enhanced X‐ray Compton scattering and self‐powered capabilities through local electric field ordering. This results in the first self‐powered Bi‐based tungstate Bi2Mo0.36W1.64O9 (BMWO) X‐ray detector, achieving a record self‐powered sensitivity of 381 µC Gy−1 cm−2. Additionally, the study demonstrates the imaging capability of a Bi‐based perovskite X‐ray detector operating in self‐driven mode. The work highlights BMWO as a promising candidate for stable direct detection imaging and validates the material design strategy that leverages the large anisotropy of quasi‐2D structures for sensitive and self‐powered detection.
2D Van der Waals Sliding Ferroelectrics Toward Novel Electronic Devices
Authors: Wang Chunyan , Zhang Yaxue , Zhang Dachuan , Sun Yu , Zhang Tao , Li Jing 
Published: January 2025

AbstractFerroelectric materials, celebrated for their switchable polarization, have undergone significant evolution since their early discovery in Rochelle salt. Initial challenges, including water solubility and brittleness, are overcome with the development of perovskite ferroelectrics, which enable the creation of stable, high‐quality thin films suitable for semiconductor applications. As the demand for miniaturization in nanoelectronics has increased, research has shifted toward low‐dimensional materials. Traditional ferroelectrics often lose their properties at the nanoscale; however, 2D van der Waals (vdW) ferroelectrics, including CuInP2S6 and α‐In2Se3, have emerged as promising alternatives. The recent discovery of sliding ferroelectricity, where polarization is linked to the polar stacking configuration of originally non‐polar monolayers, has significantly broadened the scope of 2D ferroelectrics. This review offers a comprehensive examination of stacking orders in 2D vdW materials, stacking‐order‐linked ferroelectric polarization structures, and their manifestations in metallic, insulating and semiconducting 2D vdW materials. Additionally, it explores the applications of 2D vdW sliding ferroelectrics, and discusses the future prospects in nanotechnology.
Defect‐Engineered Luminescent Nanozyme with Enhanced Phosphohydrolase Activity for Degradation and Dual‐Mode Detection of Paraoxon
Authors: Liao Xiaochen , Li Bai , Wang Li , Chen Yang 
Published: January 2025

AbstractThe excessive use of organophosphorus pesticides poses a substantial threat to both human health and the environment. Consequently, there is an urgent need for new methods that can quickly degrade and sensitively detect these compounds. A versatile nanozyme based on the biomimetic principle is an effective strategy to solve this problem. In this study, a multifunctional luminescent nanozyme Eu@Ce/UiO‐67 composed of Eu3+ and a bimetallic organic framework Ce/UiO‐67 is developed for the degradation and dual‐mode detection of paraoxon. The doping of Ce4+ results in the formation of more defective structures in Eu@Ce/UiO‐67, which significantly enhances the phosphatase activity of Eu@Ce/UiO‐67 and the degradation efficiency of paraoxon. The hydrolysis product 4‐nitrophenol (4‐NP) shows a distinct UV‐vis absorption in the visible light region and can quench the fluorescence of Eu@Ce/UiO‐67 by the effect of photo‐induced electron transfer (PET), thus achieving dual‐mode detection of paraoxon by colorimetric and fluorescent methods. This study provides a new idea for the simultaneous monitoring and degradation of organophosphorus pesticides, expanding the boundaries of “integration of diagnosis and treatment” for environmental pollutants.
Tuning Fluorination of Carbon Molecular Sieve Membranes with Enhanced Reverse‐Selective Hydrogen Separation From Helium
Authors: Gao Zeyuan , Sun Yongchao , Bai Lu , Li Tianyou , Guan Jianyu , Sun Fake , Fan Fangxu , He Gaohong , Ma Canghai 
Published: January 2025

AbstractMembrane technology has been explored for separating helium from hydrogen in natural gas reservoirs, a process that remains extremely challenging due to the sub‐Ångstrom size difference between H2 and He molecules. Reverse‐selective H2/He separation membranes offer multiple advantages over conventional helium‐selective membranes, which, however, suffer from low H2/He selectivity. To address this hurdle, a novel approach is proposed to tune the ultra‐micropores of carbon molecular sieves (CMS) membranes through fluorination of the polymer precursor. By incorporating ‐CF3 units into the backbone of Tröger's base polymers, the microporosity of CMS is tailored and reverse‐selective H2/He CMS membranes are deployed with remarkable separation performance, surpassing most reported membranes. These CMS membranes exhibit a H2 permeability of 1505.2 Barrer with a notable H2/He selectivity of 3.8. Barometric sorption tests reveal preferential sorption of H2 over He in the fluorinated CMS membranes, which also demonstrate a significantly higher H2/He diffusion selectivity compared to unfluorinated samples. Material studio calculations indicate that the “slim” hydrogen molecule penetrates ultra‐micropores more readily than the spherical He molecule, thus achieving reverse H2/He selectivity. This design approach offers a promising pathway for developing molecularly sieving membranes to tackle the challenging helium separation from natural gas.
Circular Single‐Stranded DNA‐Based Artificial Nanoviruses Mitigate Colorectal Cancer Development
Authors: Wang Jinghao , Zhang Pengfei , Huang Yonglian , Hu Guang , Zou Kexuan , Zhou Songtao , Shao Dandan , Wang Jianming , Song Jie 
Published: January 2025

AbstractColorectal cancer (CRC) remains a significant global health challenge, underscoring the need for innovative therapeutic strategies. Oncogenic miRNAs (oncomiRs) play a significant biological role in the initiation and progression of colorectal cancer. Inspired by the cooperative mechanisms of plant nanovirus, which employ multiple circular single‐stranded DNA (CssDNA) genomes, it is hypothesized that the development and delivery of CssDNA to target oncomiRs would achieve therapeutic benefits in CRC. In this study, a multi‐omics approach is utilized to identify key tumor suppressor genes (TSGs) and their related oncomiRs implicated in CRC, followed by the development of CssDNA, each of which is loaded with multiple miRNA binding sites targeting one oncomiR. When transfected into the cells, these CssDNA can effectively target and sequester the corresponding oncomiRs to restore the expression of TSGs, leading to a marked reduction in CRC development both in vitro and in vivo. The findings highlight the therapeutic potential of nanovirus‐inspired CssDNA in modulating the miRNA‐mediated regulatory network in CRC. This study lays the groundwork for the development of non‐coding DNA‐based therapies with broad implications for the treatment of colorectal cancer and potentially other malignancies.
Numerical analysis of the corrosion impact on the punching shear capacity of flat slabs with openings
Authors: Ramos Vinícius D' Almeida R. , Liberati Elyson A. P. , Trautwein Leandro M. 
Published: January 2025

AbstractThe effects generated by punching shear failure in flat slabs are catastrophic, as the failure of the slab‐column joint can cause a progressive collapse of the building. Furthermore, when exposed to aggressive environments, reinforced concrete structures can be degraded due to the penalization of the mechanical and geometric properties of the reinforcement and concrete. Therefore, this study intends to investigate the behavior of corroded reinforced concrete flat slabs with adjacent openings to the column. Three nonlinear finite element models of flat slabs based on experimental results were constructed and validated in the ABAQUS software and subsequently subjected to a parametric analysis to investigate the effects of different corrosion degrees on their punching shear capacity. The results demonstrated that corrosion of the reinforcement significantly affected the load capacity of the numerical models, reducing the ultimate load by up to 30%. Furthermore, the increase in corrosion caused an intensification of the cracking of the slabs, indicating that the cracking patterns increased as the degree of corrosion increased. The results obtained by experimental tests and numerical simulations were compared with predictions by the codes Eurocode, fib Model Code, American Concrete Institute 318, FprEN 1992 1‐1, and The Brazilian Association of Technical Standards Brazilian Regulatory Standard 6118. The results showed that most codes generate very conservative results.
Experimental study of stress increase of unbonded tendons in continuous post‐tensioned concrete beams
Authors: Nakari Tarja , Tulonen Joonas , Laaksonen Anssi 
Published: January 2025

AbstractThe prediction of the stress increase Δσp,ULS of an unbonded tendon in a post‐tensioned continuous concrete beam at ultimate capacity is more challenging than when bonded tendons are used. Four continuous two‐span concrete beams, prestressed with unbonded tendons, were constructed and loaded up to failure in a four‐point loading arrangement at the laboratory of Civil Engineering in Tampere University. The test results from the point of moment redistribution were partially published earlier in 2024. This article presents the results of the stress increase in the unbonded tendons of the test beams. Moreover, this article presents a novel nonlinear analysis model, which was employed to examine the influence of the dilatation of the beam's axis of gravity on the magnitude of the additional tendon elongation. The comparison calculations have also been made with a simple beam model from the literature. In all test beams, the stress in the prestressing steel exhibited a significant increase at failure. The effect of beam expansion on the tendon elongation at high loading levels was approximately half of the total additional elongation of the tendon.
Synthesis of methylene crosslinked 25,26,27,28‐tetrahydroxycalix[4]arene resin loading metallic palladium {MC‐[4]H‐Pd(0)}—A candidate of solid‐state hydrogen storage material
Authors: Priastomo Yoga , Higo Rui , Morisada Shintaro , Kawakita Hidetaka , Ohto Keisuke , Jumina Jumina , Arianingrum Retno 
Published: January 2025

AbstractThere has been renewed interest in the development of hydrogen storage technologies. While existing research in this field primarily concentrates on solid‐state hydrogen storage materials utilizing metal‐based inorganic compounds, this particular study sought to synthesize and conduct molecular analyses of a metal‐based organic molecule for solid‐state hydrogen storage. The synthesized metal‐based organic molecule, methylene crosslinked 25,26,27,28‐tetrahydroxycalix[4]arene resin loading metallic palladium (MC‐[4]H‐Pd(0)), exhibited the presence of several significant functional groups, including phenyl rings and hydroxyl groups, as indicated by the results of FT‐IR spectra. The total mass of palladium metals loaded in MC‐[4]H‐Pd(0) was determined to be 7.61%. These outcomes provide compelling support for the continued exploration of metal‐based organic molecules as potential solid‐state hydrogen storage materials.
Machine Learning Approaches for Predicting Reference Evapotranspiration: A Comparative Study Using Ground and Gridded Climate Data in Fes Region
Authors: Mustapha Musa , Zineddine Mhamed , Gmira Maha , El Mouhtadi Meryam , Alaoui Ahmed El Hilali 
Published: January 2025

ABSTRACTClimate data are essential for agricultural planning and water resource management; however, their availability is limited in numerous regions of Africa. Gridded climate data present a potential solution, yet, their accuracy in estimating reference evapotranspiration (ETo) remains uncertain. This study aims to evaluate the performance of gridded climate data in comparison to ground‐based observations for predicting ETo in the Fes region of Morocco. Two machine learning (ML) models, random forest (RF) and long short‐term memory (LSTM), were trained and tested on 10 years of data from both gridded (AgERA5) and ground (in situ) observation sources to assess their predictive capabilities. The results demonstrated that RF outperformed LSTM under fewer input parameter configurations, achieving R2 > 0.70, while LSTM exhibited superior performance across all input configurations achieving R2 > 0.95. However, AgERA5 data consistently underestimated ETo compared to ground observations. This underestimation highlights the need for bias correction to improve gridded data reliability. Addressing these limitations would allow gridded datasets to support better irrigation scheduling, enhance water use efficiency, and reduce crop stress in regions with limited access to localized climate data. This study demonstrates the potential of combining gridded climate data with ML to bridge data gaps, while emphasizing the importance of improving gridded dataset accuracy for practical applications in water management.
Optimal Transport Between Algebraic Hypersurfaces
Authors: Antonini Paolo , Cavalletti Fabio , Lerario Antonio 
Published: January 2025

Abstract
What is the optimal way to deform a projective hypersurface into another one? In this paper we will answer this question adopting the point of view of measure theory, introducing the optimal transport problem between complex algebraic projective hypersurfaces.
First, a natural topological embedding of the space of hypersurfaces of a given degree into the space of measures on the projective space is constructed. Then, the optimal transport problem between hypersurfaces is defined through a constrained dynamical formulation, minimizing the energy of absolutely continuous curves which lie on the image of this embedding. In this way an inner Wasserstein distance on the projective space of homogeneous polynomials is introduced. This distance is finer than the Fubini–Study one.
The innner Wasserstein distance is complete and geodesic: geodesics corresponds to optimal deformations of one algebraic hypersurface into another one. Outside the discriminant this distance is induced by a smooth Riemannian metric, which is the real part of an explicit Hermitian structure. Moreover, this Hermitian structure is Kähler and the corresponding metric is of Weil–Petersson type.
To prove these results we develop new techniques, which combine complex and symplectic geometry with optimal transport, and which we expect to be relevant on their own.
We discuss applications on the regularity of the zeroes of a family of multivariate polynomials and on the condition number of polynomial systems solving.
MR-linac: role of artificial intelligence and automation
Authors: Psoroulas Serena , Paunoiu Alina , Corradini Stefanie , Hörner-Rieber Juliane , Tanadini-Lang Stephanie 
Published: January 2025

Abstract
The integration of artificial intelligence (AI) into radiotherapy has advanced significantly during the past 5 years, especially in terms of automating key processes like organ at risk delineation and treatment planning. These innovations have enhanced consistency, accuracy, and efficiency in clinical practice. Magnetic resonance (MR)-guided linear accelerators (MR-linacs) have greatly improved treatment accuracy and real-time plan adaptation, particularly for tumors near radiosensitive organs. Despite these improvements, MR-guided radiotherapy (MRgRT) remains labor intensive and time consuming, highlighting the need for AI to streamline workflows and support rapid decision-making. Synthetic CTs from MR images and automated contouring and treatment planning will reduce manual processes, thus optimizing treatment times and expanding access to MR-linac technology. AI-driven quality assurance will ensure patient safety by predicting machine errors and validating treatment delivery. Advances in intrafractional motion management will increase the accuracy of treatment, and the integration of imaging biomarkers for outcome prediction and early toxicity assessment will enable more precise and effective treatment strategies.
Spleen stiffness in a healthy pediatric population undergoing liver magnetic resonance elastography
Authors: Serai Suraj D. , Glenn Alexandra , Trout Andrew T. , Lerebo Wondwossen T. , Gee Michael S. , Khanna Geetika , Anupindi Sudha A. 
Published: January 2025

Abstract

Background
Splenic stiffness is a potential imaging marker of portal hypertension. Normative spleen stiffness values are needed to define diagnostic thresholds.

Objective
To report stiffness measurements of the spleen in healthy children undergoing liver magnetic resonance (MR) elastography across MRI vendors and field strengths.

Materials and methods
This was a post-hoc analysis of data collected under a prospective multicenter cross-sectional study. Volunteers aged 7–17.9 years without a known history of liver or spleen disease were recruited for a research MRI between February 2018 and October 2019. Gradient recalled echo (GRE) or spin-echo–echo-planar imaging (SE-EPI) MR elastography was performed on a total of three vendor platforms and at two field strengths (1.5 T (T) and 3 T) with standard right upper quadrant passive driver placement (frequency of 60 Hz). Two independent reviewers measured spleen stiffness, length, and volume. Descriptive statistics, independent sample t-tests or Mann–Whitney test, and Pearson’s or Spearman’s correlation were used.

Results
From 101 study volunteers, 72 (34 female) had measurable splenic stiffness. Median age was 12 years (interquartile range [IQR], 9.9–14.9 years). Mean (± SD) spleen stiffness was 4.7 ± 0.9 kPa (IQR, 3.8–5.4 kPa) with 6.1 kPa reflecting the 95th percentile. Strong correlation was observed between reviewers (ICC = 0.89 [95%CI, 0.71–0.93; P < 0.001]). Male volunteers had slightly higher splenic stiffness compared to females: 4.9 ± 0.9 vs. 4.3 ± 0.8 kPa (P = 0.014). There was significant correlation between spleen stiffness and body mass index (r = 0.33 [95%CI, 0.06–0.56; P = 0.024]) but no other measure of patient size (r = 0.15–0.29). No significant difference in spleen stiffness was observed across vendors (P = 0.089) or field strengths (P = 0.236).

Conclusion
MR elastography–based spleen stiffness, measured as part of a liver MR elastography acquisition, is < 6.1 kPa in a healthy pediatric population and does not vary with MRI vendor or field strength.

Graphical Abstract