bluuebunny/crossref_metadata_2025_split huggingface dataset:
Environmental Risk Assessment of Trace Metal Pollution: A Statistical Perspective
Authors: Ogwu Matthew Chidozie , Izah Sylvester Chibueze , Sawyer Wisdom Ebiye , Amabie Timinipre 
Published: February 2025

Abstract
Trace metal pollution is primarily driven by industrial, agricultural, and mining activities and presents complex environmental challenges with significant implications for ecological and human health. Traditional methods of environmental risk assessment (ERA) often fall short in addressing the intricate dynamics of trace metals, necessitating the adoption of advanced statistical techniques. This review focuses on integrating contemporary statistical methods, such as Bayesian modeling, machine learning, and geostatistics, into ERA frameworks to improve risk assessment precision, reliability, and interpretability. Using these innovative approaches, either alone or preferably in combination, provides a better understanding of the mechanisms of trace metal transport, bioavailability, and their ecological impacts can be achieved while also predicting future contamination patterns. The use of spatial and temporal analysis, coupled with uncertainty quantification, enhances the assessment of contamination hotspots and their associated risks. Integrating statistical models with ecotoxicology further strengthens the ability to evaluate ecological and human health risks, providing a broad framework for managing trace metal pollution. As new contaminants emerge and existing pollutants evolve in their behavior, the need for adaptable, data-driven ERA methodologies becomes ever more pressing. The advancement of statistical tools and interdisciplinary collaboration will be essential for developing more effective environmental management strategies and informing policy decisions. Ultimately, the future of ERA lies in integrating diverse data sources, advanced analytical techniques, and stakeholder engagement, ensuring a more resilient approach to mitigating trace metal pollution and protecting environmental and public health.
Clonorchis sinensis Infection prevents DSS-induced Colitis Via Lithocholic Acid in a Gut Microbiota-Dependent Manner
Authors: Zhang Beibei , Xu Na , Bian Zheng-Rui , Zhang Chen , Li Xing , Ren Xin-Xin , Jiang Zhihua , Wu Zhongdao , Yu Qian , Zheng Kui-Yang , Chen Mu-Xin , Yan Chao 
Published: February 2025

Abstract
Increasing evidence demonstrates that helminth and its components can ameliorate ulcerative colitis. Clonorchis sinensis (C. sinensis) is a kind of helminth that dwells in the bile ducts for many years, but the roles and underlying mechanisms of C. sinensis-induced protection from colitis are not elucidated. In the present study, the mice were infected with 50 C. sinensis metacercariae and further administrated with 4% Dextran Sodium Sulfate (DSS) in drinking water for 7 days on days 49 post-infection. The disease severity and the integrity of gut barriers were evaluated. Gut microbiota was measured using 16sRNA sequencing, and bile acids in the colon were detected by Liquid Chromatography Mass Spectrometry (LC/MS). The Co-housing approach or microbiota deletion with additional supplies of secondary bile acids (SBAs) was employed to investigate the roles of gut microbiota in the protection from colitis. C. sinensis infection moderated the dysbiosis of the intestinal microbiota and increased the levels of SBAs and bile acid receptor Takeda G protein-coupled receptor 5 (TGR5), which finally benefited anti-inflammation and ameliorated the severity of DSS-induced colitis. Co-housing with C. sinensis-infected mice, and non-infected mice with colitis also showed an increase of TGR5, decreased pro-inflammatory cytokines, and a reduction in the severity of colitis, compared to those mice suffering from colitis without co-housing. Furthermore, C. sinensis-induced protective effects on colitis were attenuated by microbiota deletion, while SBAs (lithocholic acid, LCA) supplementation reversed the colitis. The present study demonstrates that C. sinensis infection ameliorates DSS-induced ulcerative colitis in mice, which is dependent on gut microbiota-associated SBAs.
Exploring the Academic Research Career: A Bibliometric and Content Analysis of the Academic Life Cycle
Authors: De Frutos Belizon Jesus , Alba Felix Guerrero , Gardey Gonzalo Sanchez 
Published: February 2025

Abstract
This article presents a literature review of academic research careers in universities. An exhaustive bibliometric analysis of academic research careers was conducted to reveal the major trends and themes regarding the topic. The authors engaged with 191 published documents generated via Web of Science. Bibliometric indicators, such as authors, journals, years, and countries, were used in the analysis. Science mapping analyses, such as keyword co-occurrence and bibliographic coupling, were also performed using the VOSviewer. This article contributes to the literature by categorizing and systematizing the existing literature on academic research careers and proposing areas for further research. These findings could benefit researchers, as well as practitioners in academia, by revealing the most relevant and critical areas of study regarding the topic of academic research careers.
Processes of recontextualizing a curriculum reform into mathematics teacher education
Authors: Piedra Moreno Diana Paola , Meaney Tamsin , Herheim Rune 
Published: February 2025

Abstract
Even though teacher educators are often recognized as key actors in implementing curriculum reforms, little is known about their joint meaning-making about these reforms. In this article, Bernstein’s description of the general recontextualizing processes is used to identify the local processes which contributed to teacher educators’ meaning-making, when a new school curriculum reform was introduced in Norway. The reform was about integrating computational thinking, including programming, into mathematics teaching. Audio recordings and documentation from groups of teacher educators’ first discussions about the reform in a professional seminar were analyzed, using Fairclough’s Critical Discourse Analysis. In developing their meaning-making, the teacher educators adapted their previous knowledge through two local recontextualizing processes, which were labeled simplifying and solidifying. Through joint negotiation, simplifying reduced the complexity of computational thinking, while solidifying simultaneously built up certainty about how to integrate the reform into the teacher educators’ existing practices. The formation and implementation of these local processes were affected by the short time between the introduction of the curriculum and its inclusion into mathematics teacher education courses, as well as the specific contextual features of the seminar.
Heat capacity and absolute standard entropy of Sr(BH4)2
Authors: Burkmann Konrad , Demmer Angus , Habermann Franziska , Hansel Bastian , Störr Bianca , Seidel Jürgen , Gumeniuk Roman , Bertau Martin , Bohmhammel Klaus , Mertens Florian 
Published: February 2025

Abstract
Strontium boranate (Sr(BH4)2) has garnered significant interest within the hydrogen storage community due to its relatively high hydrogen content of approximately 6%. The design of reactive hydride mixtures for reversible hydrogen storage requires the availability of reliable thermodynamic data. This article details the synthesis of Sr(BH4)2 using a wet chemical metathesis reaction. Subsequent to this, the heat capacity of Sr(BH4)2 was determined between 1.8 K and 550 K using two different calorimetric methods. Utilizing these values, the absolute standard entropy at 298.15 K was calculated to be S°(298.15 K) = (147.1 ± 3.7) J mol−1 K−1.
Performance analysis of faber polynomial based local propagators for photonics
Authors: Plotnikov Wladimir , Schulz Dirk 
Published: February 2025

Abstract
The computation of the propagation of an electromagnetic wave in the time domain is examined using local Faber polynomial based time dependent propagators. Conventionally, the whole computational domain is evaluated by one global operator. Contrary, when utilizing a nonuniform discretization in the system local operators can be used individually for each subarea. This allows the complexity to be reduced by decreasing the polynomial order of the evaluation of the Faber algorithm, while at the same time decreasing the overall runtime. Compared to common Local Time Step methods, the time step size of each individual area with this approach is already synchronized with a predefined global time step size. In general, the investigated approach is especially interesting for applications that demand a high spatial resolution, such as in the field of nanophotonics and THz-technology. However, the influence of the necessary process steps on the runtime must be examined in particular when computing with the local operators approach. To this end, the theoretical complexity is derived and compared with practical results to analyze the efficiency.
Artificial intelligence driven approaches in phytochemical research: trends and prospects
Authors: Varghese Ressin , Shringi Harshita , Efferth Thomas , Ramamoorthy Siva 
Published: February 2025

Abstract
Tremendous scientific advancements have been witnessed in phytochemical research in pursuit of their therapeutic and nutritional value. Leveraging artificial intelligence (AI) is essential to handle the growing omics data and for the elucidation of novel potential phytochemicals. Interestingly, AI has transformed phytochemical research by enabling the efficient analysis of high-dimensional ‘omics’ data and facilitating the discovery of novel metabolites, structural elucidation, and metabolite profiling in plants. Taking together, this review highlights the implementation and significance of AI in various aspects of phytochemical research including analytical techniques, structural elucidation of phytochemicals, plant metabolomics, and genomics. The review also provides an outlook of prominent computational tools in phytochemical research including CASE followed by the present status and challenges of implementing AI in phytochemical research. We also propose the integration of more AI-driven analytical approaches in phytochemical research for the discovery of metabolites and to explore their applications in medicine and agriculture.

Graphical abstract
Beyond borders: how spillovers and commercial networks shape European productivity
Authors: Carrascal-Incera André , Liu Weilin , Orea Luis , Sickles Robin C. 
Published: February 2025

Abstract
Understanding the drivers of economy-wide productivity growth has long been of interest to academics and policy makers. In this paper, we contribute to the literature by conducting a comprehensive analysis of the impact of technical change and catch-up on economic development in European regions. In doing so, we differentiate the internal productivity growth of each sector from the external spillover effect across both regions and sectors. As our study is much more granular than previous studies, we provide fundamental information for regional and national agencies to design effective policy measures aiming to stimulate regions' economic growth. We model the spatial interdependencies among the European regions using inter-regional and inter-sectoral input-output tables from the EUREGIO database. Our empirical application shows that the trade-related spillover effects cannot be disregarded, and that neglecting them would hide part of the explanation behind changes in productivity across regions. We conduct various counterfactual analyses to demonstrate this augmented impact of the trade network. We also simulate the regional TFP improvements due to digitalization, as well as the propagation effects of the financial crisis and the downturn in the construction sector. These analyses reveal how more traditional approaches that overlook these indirect effects tend to underestimate the true impact of positive and negative shocks on regional productivity growth. Our findings could serve policymakers as the ground for building a categorization of regions based on their presence in trade networks.
Formulation of Fiber-Enriched Crackers with Oleaster Powder: Effect on Functional, Textural, and Sensory Attributes
Authors: Düşkün Beyzanur , Kutlu Gozde , Akman Perihan Kübra , Bekiroğlu Hatice , Tornuk Fatih 
Published: February 2025

Abstract
The objective of this study was to produce fiber-enriched crackers by substitution of corn flour and whole wheat flour with oleaster powder (OP) at levels of 0% (C-0), 10% (C-10), 20% (C-20), 30% (C-30), and 50% (C-50) and to determine their sensory, textural, color, and bioactive properties, as well as revealing their dietary fiber and glycemic index values. The results showed that the L* values of the samples were found to range from 62.39 (C-30) to 67.31 (C-0), a* values from 4.43 (C-10) to 8.30 (C-50), and b* values from 21.32 (C-10) to 27.40 (C-50). The hardness and fracturability of the samples decreased with increasing OP concentration, with hardness values ranging from 77.45 to 363.35 N and fracturabilitiy values ranging from 23.30 to 33.90 mm. The total phenolic content (TPC) of the cracker samples ranged from 7.39 to 15.06 mg GAE/100 g, while DPPH radical scavenging activity, CUPRAC antioxidant activity, and FRAP assay values increased with the elevating OP concentration, spanning 4.76 to 93.09 mg TE/100 g, 191.03 to 557.4 mg TE/100 g, and 35.70 to 129.90 mg TE/100 g, respectively. The total dietary fiber content also increased in parallel with the OP level (from 6.83 to 15.15%). The Hydrolysis index values ranged from 109.00 to 74.49%. Although all cracker samples were classified as high glycemic index foods, OP incorporation also decreased the glycemic values up to ⁓19% with values ranging from 80.60 (C-50) to 99.55 (C-0). In conclusion, the addition of OP significantly improved the nutritional properties of the crackers by increasing their dietary fiber, TPC and antioxidant activities as well as decreasing their glycemic index without affecting the sensory attributes. Achieving a balance between nutritional improvement and desirable sensory attributes remains key for optimizing cracker formulations.
Determinants of refugee children’s language comprehension difficulties: Evidence from Lebanon, Türkiye and Australia
Authors: Hammoud Mohammad , Al Samhoury Ola , Shuayb Maha , Crul Maurice 
Published: February 2025

Abstract
This article examines the determinants of Syrian refugee students’ language comprehension difficulties in Lebanon, Türkiye and Australia, three host countries offering refugees different types of legal status (short-term, medium-term and long-term legal settlement). To understand the influence of legal status and its corresponding educational paradigm on the difficulties refugee children encounter when learning in a foreign language, the authors employed a mixed-methods comparative approach. Investigating the micro, meso and macro dimensions that shape refugee children’s language comprehension difficulties, the authors surveyed 945 (52% female, 48%male) middle school refugee students and interviewed parents, teachers and principals. Their quantitative findings highlight the significance of the length of time spent in the host country and the role of school segregation in mitigating language comprehension difficulties. The qualitative findings of this study reveal the importance of language provision and residency conditions, which are shaped by macro-level policies. The study emphasises the need for a comprehensive and holistic approach that addresses distinct dimensions of refugees’ livelihoods in order to surmount the challenges refugee children face when studying in a foreign language.
Making the impact of publications within a field comparable by improving the field-weighted citation impact (FWCI): the case of sport management
Authors: Scelles Nicolas , Teixeira da Silva Jaime A. 
Published: February 2025

Abstract
The Field-Weighted Citation Impact (FWCI) is a metric at the publication level which is standardized across fields. It has obvious advantages over other frequently used metrics, but might also suffer from some potential limitations, raising issues about its reliability. This paper investigates one limitation—the use of different All Science Journal Classification (ASJC) Codes in Scopus for journals from the same field, meaning they may not be assessed against the same benchmark (average citations per article)—and suggests a potential improvement, relative to sport management, which was selected as an exemplar field. A four-step approach was applied: first, identifying sport management journals based on Scimago similarities (percentage of cited publications shared between journals, i.e., shared interests); second, mapping these journals against their different ASJC Codes; third, comparing the different ASJC Codes versus Scimago similarities; fourth, analyzing the consequence of the different ASJC Codes on FWCI. Based on Scimago similarities, 15 sport management journals were identified. They represent 15 different ASJC Codes. Overall, the ASJC Codes are not representative of Scimago similarities. The consequence is that, despite shared interests, sport management journals are not assessed against the same benchmark in the calculation of FWCI. The discussion considers why and how big the issue is. A potential improvement to the FWCI is then suggested: to use Scimago similarities rather than ASJC Codes to determine a field. The paper concludes that the FWCI is superior to other widespread metrics, while acknowledging some remaining issues not addressed by the indicator and its potential improvement.
Social Repression and Variation within the Human Freedom Index
Authors: Murphy Ryan H. 
Published: February 2025

Abstract
The Human Freedom Index combines the Economic Freedom of the World index with other data measuring different dimensions of negative freedom to create a complete measure of human freedoms. While the properties of Economic Freedom of the World have been studied at length, relatively little has been done to assess the properties of the Human Freedom Index. We use principal component analysis, k-means clustering, and factor analysis to explore the data. Provocatively, the second principal component, the “off-diagonal” cluster, and the unrotated second factor all point to the same regimes the combine some degree of liberalization in markets with social repression. However, rotating the factors provides clarification, with the first rotated factor emphasizing the markets-oriented policies, and the second factor related to social oppression. This second factor appears to be a novel operationalization of institutional quality.
Exogenous addition of methyl jasmonate and salicylic acid in immobilized cell cultures of Thevetia peruviana: effect on the biomass, phenolic compounds and cardiac glycosides production
Authors: Cuaspud Olmedo , Mendoza Dary , Arias Juan 
Published: February 2025

Abstract

Thevetia peruviana is an ornamental shrub with ethnobotanical uses related to secondary metabolites, including cardiac glycosides (CG), phenolic compounds (PC), and flavonoids (Fv). Known for its cardiac, antioxidant, anticancer, and antimicrobial activities, this study aimed to culture T. peruviana cells immobilized in calcium alginate and evaluate the effects of exogenous methyl jasmonate (MeJA) and salicylic acid (SA) on biomass and metabolite production. Immobilization was performed with 3% (w/v) sodium alginate and 100 mM CaCl₂ in Schenk and Hildebrandt medium. Cultures were maintained for 20 days, reaching a maximum biomass concentration of 7.45 ± 0.49 g DW/L on day 10, compared to 13.92 ± 0.34 g DW/L in free cell cultures. Immobilization reduced biomass concentration but increased the production of secondary metabolites at 10–11 days. This suggests that the alginate matrix acts as an abiotic stress factor, directing carbon consumption and energy flow toward the biosynthesis of PC, Fv, and CG. Additionally, treatment with SA (300 µM) and MeJA (3 µM) during the exponential phase increased metabolite secretion at 48–72 h post-elicitation. SA-treated cultures showed PC, Fv, and CG levels 2.24, 1.66, and 1.37 times higher than controls, respectively, while MeJA increased these levels by 1.24, 1.83, and 1.25 times. Exogenous SA and MeJA stimulate the biosynthesis of secondary metabolites in calcium alginate-immobilized T. peruviana cells; and facilitate the diffusion of metabolites into the extracellular medium. However, further studies are needed to validate this hypothesis.

Graphical abstract
Development of a novel phantom for evaluating jawbone SPECT targeting medication-related osteonecrosis of the jaw
Authors: Hayashi Naoya , Matsutomo Norikazu , Tokorodani Ryotaro , Fukami Mitsuha , Nishimori Miki , Iwasa Hitomi , Nakatani Kie , Yamamoto Tetsuya , Yamagami Takuji , Yamamoto Tomoaki 
Published: February 2025

Abstract

Objective
We developed a new phantom for technical evaluation of jawbone single-photon emission computed tomography (SPECT) examinations for medication-related osteonecrosis of the jaw (MRONJ). In this study, we verified the utility of the phantom by determining optimal image reconstruction parameters.

Methods
We evaluated the image quality and quantification in jawbone SPECT images obtained by different reconstruction parameters using the phantom. The phantom images were acquired using a SPECT/computed tomography (CT) system and then reconstructed using ordered-subset expectation maximization (OSEM) iterative reconstruction with resolution recovery as well as scatter and attenuation correction with various update numbers and Gaussian filter full width at half maximums (FWHMs). The percent contrast (%contrast) and absolute recovery coefficient were calculated to determine the optimal reconstruction parameters (OSEMjaw). Nineteen patients with a clinical diagnosis of MRONJ who underwent bone SPECT/CT were enrolled for the clinical study. The performance of OSEMjaw was verified by comparison with OSEMcurrent determined by a spherical phantom, using the correlation between the mean standardized uptake value (SUVmean) and clinical staging and visual assessment as endpoints.

Results
In the phantom study, %contrast and absolute recovery coefficient increased with increasing update numbers. As the Gaussian filter FWHM increased, the quantitative accuracy and image sharpness decreased. The parameter determined by the phantom study (OSEMjaw) recommended 120 updates and no filter.
In the clinical study, the mean and standard deviation of SUVmean obtained from OSEMjaw were 8.9 ± 1.4 for stage 1 lesions, 12.9 ± 4.1 for stage 2 lesions, and 13.8 ± 1.4 for stage 3 lesions. For OSEMcurrent, they were 5.4 ± 2.3 for stage 1 lesions, 8.3 ± 2.5 for stage 2 lesions, and 8.0 ± 0.9 for stage 3 lesions. The SUVmean obtained from OSEMjaw had a stronger correlation with clinical stage. Based on visual assessment, the quality of the SPECT images reconstructed by OSEMjaw (3.7 ± 0.9) was superior to that reconstructed by OSEMcurrent (2.9 ± 1.1).

Conclusions
We developed a novel phantom and adapted it for technical evaluation. This study demonstrated the utility of the developed phantom.