bluuebunny/crossref_metadata_2025_split huggingface dataset:
Amino Acids‐Enabled Fast‐Restore of Triplet‐Triplet Annihilation Upconversion Luminescence for Background‐Free Sensing of Herbicides
Authors: Qi Fang , Feng Hong‐Juan , Li Jia‐Yao , Peng Yi , Jiang Lin‐Han , Li Ying‐Ze , Zeng Le , Huang Ling 
Published: February 2025

AbstractOveruse of herbicides poses a serious threat to ecosystems and human health; thus, the accurate determination of herbicide residue is very meaningful. Thanks to the advantage of no background fluorescence interference, the upconversion luminescence allows for reliable analysis of target molecules in complicated samples. Here, through screening of 20 natural amino acids, it is discovered that the photooxidation of methionine exhibited the fastest recovery rate of triplet‐triplet annihilation upconversion (TTA‐UC) luminescence via oxygen consumption, which is 400‐fold faster compared to the well‐known photooxidation of oleic acid. Furthermore, oxygen‐resistant, small‐size, red‐to‐blue TTA‐UC nanoparticles with a record upconversion efficiency (7.2%, normalized to 100%) are prepared using hydrophobic butyl methionine as an oxygen scavenger. Surface negatively charged TTA‐UC nanoparticles are able to selectively enrich positively charged paraquat on their surface. Accordingly, a photoinduced electron transfer process occurred between the triplet excited state of the photosensitizer and the electron‐deficient paraquat, quenching the upconversion luminescence. Relying on this principle, TTA‐UC‐based paraquat sensing is achieved with a fast response (less than 1 s), high selectivity, and a low limit of detection (1.54 µg mL−1). Further, the TTA‐UC nanoparticles are utilized to implement paraquat analysis in lake water without sample pretreatment.
Elementary Students' Metacognitive Knowledge of Epistemic Criteria
Authors: Murphy Danielle , Duncan Ravit Golan , Chinn Clark A. , Danish Joshua , Hmelo Silver Cindy E. , Zhou Jinzhi , Ryan Zach 
Published: February 2025

ABSTRACTScientific modeling is a core practice of scientific inquiry. Students' engagement in modeling can be enhanced by attending to epistemic criteria, which in science are standards used to evaluate the validity and accuracy of scientific models. While prior research has focused on students' development and use of epistemic criteria in scientific inquiry environments, less is known about students' metacognitive knowledge about why epistemic criteria matter—their metacognitive epistemic justifications. Investigating students' metacognitive knowledge of criteria can reveal their understandings of the criteria guiding scientific practice (such as modeling), their relative value, and their relationship to epistemic products. We present findings from clinical interviews of student dyads conducted at the end of the implementation of a fifth‐grade model‐based inquiry unit in which the class developed and used epistemic criteria for scientific models. Students' justifications of epistemic criteria revealed their metacognitive knowledge about why criteria, such as evidentiary fit, are important in modeling practice. We also identified themes in students' justifications for the relative importance of different epistemic criteria and the role such justifications played in resolving disagreements about epistemic matters. Our findings illustrate the potential value of engaging students in discourse about metacognitive justifications for epistemic criteria.
Spontaneous Self‐Organized Order Emerging From Intrinsically Disordered Protein Polymers
Authors: Acosta Sergio , Rodríguez‐Alonso Pablo , Chaskovska Viktoriya , Fernández‐Fernández Julio , Rodríguez‐Cabello José Carlos 
Published: February 2025

ABSTRACTIntrinsically disordered proteins (IDPs) are proteins that, despite lacking a defined 3D structure, are capable of adopting dynamic conformations. This structural adaptability allows them to play not only essential roles in crucial cellular processes, such as subcellular organization or transcriptional control, but also in coordinating the assembly of macromolecules during different stages of development. Thus, in order to artificially replicate the complex processes of morphogenesis and their dynamics, it is crucial to have materials that recapitulate the structural plasticity of IDPs. In this regard, intrinsically disordered protein polymers (IDPPs) emerge as promising materials for engineering synthetic condensates and creating hierarchically self‐assembled materials. IDPPs exhibit remarkable properties for their use in biofabrication, such as functional versatility, tunable sequence order–disorder, and the ability to undergo liquid–liquid phase separation (LLPS). Recent research has focused on harnessing the intrinsic disorder of IDPPs to design complex protein architectures with tailored properties. Taking advantage of their stimuli‐responsiveness and degree of disorder, researchers have developed innovative strategies to control the self‐assembly of IDPPs, resulting in the creation of hierarchically organized structures and intricate morphologies. In this review, we aim to provide an overview of the latest advances in the design and application of IDPP‐based materials, shedding light on the fundamental principles that control their supramolecular assembly, and discussing their application in the biomedical and nanobiotechnological fields.
Febuxostat protects from Doxorubicin induced hepatotoxicity in rats via regulation of NF-κB p65/NLRP3 inflammasome and SIRT-1/AMPK pathways
Authors: El-Dessouki Ahmed M. , Yousef Eman H. , Raslan Nahed A. , Alwakeel Asmaa I. , Ibrahim Samar , Alzokaky Amany A. 
Published: February 2025

Abstract
Doxorubicin (DOX) is a highly potent broad-spectrum anticancer drug, but it has severe side effects, including hepatotoxicity. Therefore, we evaluated the efficacy of febuxostat (FBX), a specific inhibitor of xanthine oxidase and antioxidant, in blocking hepatotoxicity associated with DOX in rats. Rats were treated with FBX (10 or 15 mg/kg/day orally for 2 weeks) and given DOX (15 mg/kg as single dose at the 7th day, intraperitoneal) to induce hepatotoxicity. The results indicated that FBX could reduce the pathological alterations of liver tissues induced by DOX and ameliorate the inappropriate changes in liver function biomarkers (AST, ALT, and ALP) in serum, oxidative stress parameters (catalase, superoxide dismutase, NOX1, NQO-1, HO-1, Keap-1, and Nrf2) and inflammatory markers in the liver (NF-κB p65, TNF-α, NLRP3). Additionally, FBX attenuated the p53, BAX, cytochrome C, caspase-9, and caspase-3 levels to restrain cell apoptosis. In addition, FBX therapy was found to increase protein levels of SIRT-1 and AMPK in the liver. These findings demonstrate that FBX can reduce the hepatotoxicity caused by DOX in rats through mechanisms that counteract oxidative stress, inflammation, and apoptosis.
Determination of 3D Stress State Using a Novel Integrated Diametrical Core Deformation and Ultrasonic Analysis
Authors: Dargahizarandi Atefeh , Masoumi Hossein , Hashemi Abolfazl , Saha Biswachetan , Roshan Hamid 
Published: February 2025

Abstract
Sustainable underground mining operation at deep levels requires a clear understanding of in situ stress conditions to ensure safety of personnel and equipment for continuous exaction of natural resources. Obtaining representative three-dimensional (3D) stress data at depth remains a significant challenge due to the operational complexities, high costs and time demands. Despite various methods proposed, core-based in situ stress estimation stands out as a cost-effective and reliable approach. Yet, these techniques come with inherent complexities within the laboratory environment, introducing considerable uncertainties and subjectivity in reliable stress estimation. The diametrical core deformation analysis (DCDA) was introduced to address these challenges, providing improved measurement repeatability and mitigating uncertainties. However, DCDA is limited to two-dimensional (2D) stress state estimation, leaving the determination of the full 3D stress tensor as an unresolved challenge. Therefore, this study presents a novel integrated methodology that combines DCDA with ultrasonic mapping to determine the full 3D stress state from core samples including the azimuth and dip angle of stress components. Both techniques leverage the expansion of core samples under various directions following the release from in situ stress, with greater expansion expected along the axis with the highest principal stress. Stress magnitudes were then calculated using a new analytical technique and the robustness and reliability of the proposed methodology were validated through analysing eight core samples from two vertical boreholes in an Australian underground metalliferous mine. The results were compared with the on-site overcoring stress measurements, having core-based measurements providing reliable predictions of the three principal stresses’ magnitude, azimuth, and dip angle. The current study contributes to sustainable mining by providing a more accurate and less invasive technique for 3D in situ stress estimation. Such an advancement helps to reduce uncertainties in geotechnical assessments, enabling efficient and sustainable mine planning and operation.
Computer adaptive testing strategies for the Edinburgh Postnatal Depression Scale (EPDS)
Authors: Wong Emily F. , Accortt Eynav E. , Choi Seung W. , Bright Tiffani J. 
Published: February 2025

Abstract

Purpose
Perinatal mood and anxiety disorders (PMADs) include depressive and anxiety disorders during pregnancy or postpartum and can have significant consequences for the parent, child, and family. When severe, these conditions can lead to suicide. Despite numerous policy efforts to improve screening, education, and referral structures, disparities in PMAD diagnosis and treatment still exists, particularly among racial and ethnic minorities. Computer Adaptive Testing (CAT) has been shown to improve the efficiency of screening by significantly reducing test length. This study evaluates whether applying CAT to the Edinburgh Postnatal Depression Scale (EPDS) maintains diagnostic accuracy while ensuring these methods do not exacerbate racial disparities in PMAD screening outcomes.

Methods
Using real data simulation, we assessed three CAT-based short-form versions of the EPDS, derived from one-, two-, and three-factor item response theory models. We evaluated their diagnostic precision and examined potential racial disparities in false negative rates compared to the full-length EPDS.

Results
We demonstrate that estimated scores from three short versions of the EPDS administered through CAT—assuming one, two, and three-factor item response theory models—are more highly correlated with the full-length EPDS measure traditionally used to make clinical decisions (r’s between 0.96 and 0.97) than the major depressive disorder subtest (CAT-MDD) from CAT-Mental Health (CAT-MH®) (r =.82), as previously reported. Importantly, the false negative rates of the CAT-implied diagnoses did not significantly vary between racial groups, indicating no evidence of racial bias in diagnostic accuracy.

Conclusion
The CAT-based versions of the EPDS offers a promising solution for improving the efficiency of PMAD screening without sacrificing diagnostic precision or exacerbating racial groups. By reducing evaluation time, these tools could facilitate more widespread and equitable screening, enabling earlier diagnosis and treatment of PMADs across diverse populations.
A modular hypoplastic constitutive model for granular soils
Authors: Pucker Tim 
Published: February 2025

Abstract
A new hypoplastic constitutive model with a modular structure is presented for granular soils. The modular structure allows the application of the constitutive model with very little material information under restriction of the soil effects to be reproduced. The more material information available, the better the stress–strain behaviour of the material can be represented. The basic model and six modules are presented that allow to model soil phenomena like barotropy, pyknotropy, load history, and small strain stiffness. Laboratory tests are simulated to show the performance of the constitutive model.
A system dynamics model for improving the reverse supply chain using the IoT in the household appliances sector
Authors: Cortés-Pellicer Pascual , Alarcón Faustino , Pérez-Perales David 
Published: February 2025

Abstract
The Internet of Things (IoT) is a global platform of Internet-connected smart devices that allows manufacturers to sensorize marketed products. Such products can provide manufacturers with feedback about relevant information, such as their status, use and location, which contributes to significantly reduce uncertainty in the time, quantity and quality of the products recovered during the reverse logistics (RL) process. This sensorization is especially simple in connected appliances given the ease of installing sensors inside. This work shows the convenience of using the IoT in the RL process of the household appliances sector by analyzing the impact on recovery management. To do so, it proposes a simulation model based on system dynamics. The main findings indicate that the IoT permits more reverse supply chains’ inventory by significantly increasing collected products’ average value. This, in turn, allows for more backorder demand to be met and improves the client service level. In light of all this, we conclude that the average RL process profit made with an IoT model is significantly better than the RL process without such a model. With this simulation model, it should also be noted that interoperability and communication improve throughout the supply chain, which allows better decision making.
How to Conceptual Engineer ‘Entropy’ and ‘Information’
Authors: Anta Javier 
Published: February 2025

Abstract
In this paper I discuss how to conceptual engineer ‘entropy’ and ‘information’ as they are used in information theory and statistical mechanics. Initially, I evaluate the extent to which the all-pervasive entangled use of entropy and information notions can be somehow defective in these domains, such as being meaningless or generating confusion. Then, I assess the main ameliorative strategies to improve this defective conceptual practice. The first strategy is to substitute the terms ‘entropy’ and ‘information’ by non-loaded terms, as it was first argued by Bar-Hillel in the 1950s. A second strategy is to prescribe how these terms should be correctly used to be meaningful, as it was pioneered by Carnap (Two essays on entropy, University of California Press, 1977) in Two Essays on Entropy. However, the actual implementation of these two ameliorative strategies has been historically unsuccessful due to the low credentials that philosophers as conceptual prescribers have among scientists. Finally, to try to solve these obstacles, I propose a third strategy based on leveraging evidence from the contribution of philosophy as a complementary science or the so-called ‘Philosophy in Science’ (à la Pradeu et al. in Brit J Philos Sci 75:(2):375–416, 2024) to integrate conceptual prescriptions and analyses of entropy and information as part of the scientific practices in which these notions are used.
Electrochemical impedance spectroscopy and battery systems: past work, current research, and future opportunities
Authors: Bakenhaster Slater Twain , Dewald Howard D. 
Published: February 2025

Abstract
Research on battery electrochemistry is one of the most consequential chemical fields of modern times, bearing seismic influence on world economy. With the importance of electric batteries projected only to increase, researchers are faced with looming problems regarding the stability, sustainability, and safety of lithium-ion batteries, making the need for alternative battery systems only more prevalent. In this review, the utility of electrochemical impedance spectroscopy for future battery research is explored. By overviewing the fundamental science and its history in past battery research, the unique capability of electrochemical impedance spectroscopy in battery research is underscored. Moreover, four advanced impedance techniques—machine learning applications, distribution of relaxation times analysis, nonlinear impedance methods, and localized measurement—are emphasized along with their potential strengths. Finally, suggestions for future battery research using these methods are discussed.

Graphical abstract
When Treatment Does Not Seem to Help: Identifying Interpersonal and Defensive Functioning in a Case with Borderline Personality Disorder
Authors: Yılmaz Meltem , Grandjean Loris , Beuchat Hélène , de Roten Yves , Lingiardi Vittorio , Kramer Ueli 
Published: February 2025

Abstract
Improvement in interpersonal and defensive functioning are considered central transtheoretical mechanisms that drive symptomatic change in clients with BPD. The current case study illustrates the treatment process and symptom changes in relation to interpersonal functioning, operationalized as the pervasiveness of conflictual relationship themes, and defensive functioning of a 22-year-old female client diagnosed with borderline personality disorder (BPD). The client underwent a 10-session General Psychiatric Management, a psychodynamically-oriented brief case management focusing on interpersonal hypersensitivity, as part of a larger Randomized Controlled Trial. The assessment involved three time points—intake, mid-treatment, and discharge—and comprised of a validated symptom scale, the Zanarini Rating Scale for BPD, along with two coding procedures, the Core Conflictual Relationship Theme method and the Defense Mechanisms Rating Scale-Q sort. While a decrease in the pervasiveness of conflictual relationship themes was observed, a worsening of defensive functioning was noted, which is posited to contribute to the increased symptom severity, particularly in affective and relational domains. Her prominent use of rationalization and passive aggression, along with irregular session attendance and low treatment dosage, are likely key factors influencing the mixed outcomes observed in borderline symptoms and defensive functioning, despite the reduction in the pervasiveness of interpersonal patterns.
Academic Coaching to Promote Self-Directed Learning in Graduate Medical Education
Authors: Burtson Kathryn M. , Wilson Kelsey R. , Kiger Michelle E. , Jung Eulho , Hartzell Joshua D. , Meyer Holly 
Published: February 2025

Abstract

Background
Graduate medical education is a critical period for fostering self-directed learning (SDL). This study introduced an academic coaching program to support SDL among internal medicine (IM) residents, leveraging Gallimore and Tharp’s four-stage model as a scaffolding framework.

Objective
To assess the impact of academic coaching on residents’ performance, including Internal Medicine In-Training Examination (IM-ITE) scores, individualized learning plans (ILPs), and attitudinal changes. The study also explored how coaching influenced SDL within the residency program.

Design and Participants
A mixed-methods case study was conducted in a mid-sized university’s IM residency program. Quantitative measures included pre- and post-coaching surveys, ILP analysis, and IM-ITE score evaluation. Semi-structured interviews provided qualitative insights into participant experiences. Of 77 eligible residents, 40 enrolled in the coaching program, and 27 (18 post-graduate year (PGY) 1 and PGY2) completed at least one session. Baseline IM-ITE scores guided enrollment for mandatory participants.

Key Results
Of the 77 residents, 51 had complete IM-ITE data and individualized learning plans (ILPs) from 2022 and 2023. Residents attending one coaching session demonstrated significant improvement in IM-ITE percentile scores (p = .022), while those with two or more sessions showed significant gains in both percent correct (p = .015) and percentile scores (p = .003). No significant differences were observed in ILPs or attitudinal surveys. Qualitative analyses of resident participant interviews highlight coaching’s positive influence on SDL, organized into input, process, and output domains.

Conclusions
Sustained coaching, defined as two or more coaching meetings, is associated with improved IM-ITE performance. Qualitative findings underscore the program’s role in enhancing residents’ SDL.
Gibbs Energy Modeling of High-Temperature Bornite: Application on Calculation of Phase Equilibria of the Cu-Fe-S System
Authors: Waldner Peter 
Published: February 2025

Abstract
Gibbs energy modeling of high temperature bornite is carried out from liquidus to mediate temperatures at a total pressure of one bar. A three sublattice approach using the compound energy formalism is developed which is consistent with a recently reported critical assessment and optimization of the Cu-S sulfide digenite. The first comprehensive comparison with experimental phase diagram data can be carried out on the basis of an adequate reproduction of the homogeneity range of high-temperature bornite which emanates from digenite into the Cu-Fe-S phase space with a substantial iron solubility. Ternary heat capacity data at the composition of Cu5FeS4, considered for the first time for Gibbs energy modeling, provides the basis for a reliable extrapolation to lower temperatures. A recently presented two-sublattice model for high-temperature pyrrhotite is adapted for accordance with its limited but relevant copper solubility. Eleven phase diagram sections of the Cu-Fe-S system – five isopleth and six isothermal sections – are calculated over the total ternary composition range for comparison with experimental data available in the literature. Together with further development of the Cu-Fe-S liquid phase model agreement between calculation and experimental data is achieved in a fair to a very satisfactory manner.
Recovery of valuable compounds from apricot concentrate production waste using supercritical carbon dioxide extraction as a green separation method
Authors: Argun Mehmet Emin , Argun Mustafa Şamil 
Published: February 2025

Abstract
Apricot concentrate production wastewater (APW), which contains significant amounts of phenolic compounds and exhibits antioxidant activity, is also a major environmental pollutant. This study aimed to recover valuable compounds from APW and mitigate its environmental impact using the supercritical carbon dioxide (SC–CO2) extraction method. Pressure and temperature variables were studied within the ranges of 8.5–31.5 MPa and 38.5–61.5 °C, respectively. A five–level central composite design (CCD) was applied to statistically analyze the interaction between experimental conditions and results. As a result of the extraction, up to 25% yield and 3.3% total phenolic content (TPC) recovery were achieved, along with a functional extract containing over 2000 mg GAE/L phenolic substances, antioxidant activity exceeding 3000 µM TE, and a significant amount of polyunsaturated fatty acids. Using response surface methodology, the optimum conditions for SC–CO2 extraction were determined to be 60 °C and 10 MPa. Toxicity values across three trophic levels, along with selected pollution parameters, were assessed before and after the extraction. Notably, following the extraction process, the toxic classification of the wastewater, as determined by the Daphnia magna toxicity test, improved from the very toxic category (Class IV) to the toxic category (Class III).