bluuebunny/crossref_metadata_2025_split huggingface dataset:
Transition Metal‐Catalyzed C−H Activation/Functionalization of 8‐Methylquinolines
Authors: Doraghi Fatemeh , Aghanour Ashtiani Mohammad Mahdi , Ameli Mahmoud , Larijani Bagher , Mahdavi Mohammad 
Published: October 2024

Abstract8‐Methylquinoline is regarded as an ideal substrate to participate in diversely C(sp3)−H functionalization reactions. The presence of the chelating nitrogen atom enables 8‐methylquinoline to easily form cyclometallated complexes with various transition metals, leading to the selective synthesis of functionalized quinolines. Considering the great importance of quinoline cores in medicinal chemistry, in this review article, we have covered the publications related to the C−H activation and functionalization of 8‐methylquinoline under transition metal catalysis during the last decade.
“I sit here thinking I can do this”—Developing justice‐centered ambitious science teaching identities in professional learning communities
Authors: Cooke Hannah , Campbell Todd , Luehmann April , Zhang Yang , Scipio Déana 
Published: October 2024

AbstractExplicitly attending to justice in science teaching and learning is long overdue. Here, we examined the professional teacher identity development of 13 science teachers as they collaborated in networked professional learning communities (PLCs) to implement and revise a culture‐setting unit focused on the science of COVID and engaging in collaborative inquiry cycles to identify and refine justice‐centered ambitious science teaching (JuST) practices in classrooms. These JuST practices are conceptualized as a synthesis of justice‐centered pedagogies and ambitious science teaching. To accomplish our research aims, we drew on qualitative methods, where we relied on transcribed video recordings of 21 PLC meetings and three transcribed end‐of‐year focus group interviews of two PLCs (i.e., 13 secondary science teachers, mostly white) across a year‐long period. As a result of our analyses, we identified how professional learning arranged through PLCs, culture‐setting units, and collaborative inquiries supported professional JuST identity development by, among other affordances, providing space for the critical and emotional work of learning to discuss race, affording teachers strategies for getting to know their students and the assets they bring to classrooms, and recognition and positioning of teachers as professionals capable of identifying or developing, refining, and contributing to knowledge about JuST science teaching and learning. Challenges identified included, among others, identifying how the culture‐setting units could be effectively integrated into existing curriculum maps and the uneven implementation support from administrators. In the end, what is revealed helps better conceptualize how engaging teachers in PLCs around tasks like curriculum implementation and refinement or collaborative inquires support professional JuST identity development and how such experiences can be more carefully negotiated.
Opportunities of the Bioeconomy in Mexico: Valorization of Agro‐Industrial Waste
Authors: Cano‐Gómez Christian Iván , Hinojosa‐López Jessica Ivonne , Muñiz‐Marquez Diana B. , Wong‐Paz Jorge E. 
Published: October 2024

ABSTRACTThe transition toward a sustainable bioeconomy offers a pivotal opportunity for Mexico to mitigate environmental impacts and drive economic growth through the valorization of agro‐industrial waste. This review highlights the challenges and opportunities of establishing a waste‐based bioeconomy in Mexico, emphasizing the role of advanced technologies and infrastructure in transforming agricultural waste into valuable bioproducts like biofuels, bioplastics, and biochemicals. The paper underscores the necessity for robust policy frameworks and collaborative efforts to address technological, infrastructural, and regulatory barriers. It provides a comparative analysis of circular business models and waste valorization strategies successfully implemented in countries such as Brazil, Chile, and the Mediterranean region, drawing practical insights applicable to Mexico. This review uniquely combines technological, policy, and business model innovations to offer a comprehensive approach to the sustainable development of Mexico's bioeconomy. By navigating these complexities, Mexico can unlock significant economic, environmental, and social benefits, contributing to a more sustainable and prosperous future.
A Conceptual Framework for Human‐Centric and Semantics‐Based Explainable Event Detection
Authors: Kolajo Taiwo , Daramola Olawande 
Published: October 2024

ABSTRACTExplainability in the field of event detection is a new emerging research area. For practitioners and users alike, explainability is essential to ensuring that models are widely adopted and trusted. Several research efforts have focused on the efficacy and efficiency of event detection. However, a human‐centric explanation approach to existing event detection solutions is still lacking. This paper presents an overview of a conceptual framework for human‐centric semantic‐based explainable event detection with the acronym HUSEED. The framework considered the affordances of XAI and semantics technologies for human‐comprehensible explanations of events to facilitate 5W1H explanations (Who did what, when, where, why, and how). Providing this kind of explanation will lead to trustworthy, unambiguous, and transparent event detection models with a higher possibility of uptake by users in various domains of application. We illustrated the applicability of the proposed framework by using two use cases involving first story detection and fake news detection.
Sustainability Nexus AID: landslides and land subsidence
Authors: Motagh Mahdi , Garg Shagun , Cigna Francesca , Teatini Pietro , Bhardwaj Alok , Matin Mir A. , Zarei Azin , Madani Kaveh 
Published: October 2024

Abstract
Landslides and land subsidence pose significant threats that are both existing and growing in nature. These complex phenomena should not be considered in isolation but rather as interconnected challenges. To effectively understand and mitigate them, a data-driven nexus approach is necessary. Recognizing the importance of addressing this issue comprehensively, the United Nations University has launched the Sustainability Nexus Analytics, Informatics and Data Programme, a comprehensive initiative that intends to enable the nexus approach to problem solving in coupled human–environment systems. This paper provides a detailed background on the Programme’s “Landslides and Land Subsidence Module”, underscoring the crucial need for a nexus approach. Additionally, it highlights some of the tools and strategies that can be employed to tackle the challenges at hand. The success of this initiative hinges on active participation from various stakeholders. By embracing a holistic approach and fostering collaboration, we can strive towards better preparedness and long-term resilience against landslides and land subsidence.
Internet self-efficacy moderates the association of information technology ability with successful ageing among older employees in three African samples
Authors: Asiamah Nestor , Hatsu Sylvester , Opuni Frank Frimpong , Muhonja Faith , Opara Confidence Chinwe , Sghaier Sarra , Danquah Emelia 
Published: October 2024

AbstractThe literature suggests that two distinct competencies [i.e., information technology ability (ITA), and internet self-efficacy] are necessary for the effective use of information technologies for successful ageing, but no study has examined the association of these skills on successful ageing and its domains (i.e., illness avoidance, functioning, and engagement with life). This study investigated whether Internet Self-Efficacy (ISE) moderates the potential association of ITA with successful ageing. The study adopted a cross-sectional design based on the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) checklist and includes measures against confounding and common methods bias. The participants were 1186 older workers aged 50 years or older in three African countries (Kenya = 350; Nigeria = 260; Ghana = 576). The minimum sample size necessary was calculated, and data were analysed with hierarchical linear regression analysis. After controlling for the covariates, ITA and ISE had a positive association with successful ageing as well as illness avoidance, functioning, and engagement with life in the whole sample. ITA was also positively associated with successful ageing and its domains in Kenya and Ghana. The associations of ITA with successful ageing and its domains were positively moderated by ISE in the whole sample and within each of the three samples. Higher ITA can be associated with successful ageing among working older adults, and ITA positively influences successful ageing at different levels of ISE. Older adults with high ITA are more likely to avoid illness at a higher ISE.
Jeopardizing Biomedical Creative Abduction Through Impoverished Epistemic Niches
Authors: Magnani Lorenzo 
Published: October 2024

AbstractIn this article the problem of discoverability and abductive creativity in scientific cognition will be characterized by the analysis of current difficulties that affect various aspects of the scientific enterprise such as in the case of the organization of Research and Development in biopharmaceutical companies. I will contend that this case symbolizes a paradigmatic example of what I have called “impoverished epistemic niches” in which it seems that some of the fundamental aspects that qualify modern science are jeopardized. To refer to some recent challenges to the crucial role played in scientific abductive cognition by the so-called “maximization of eco-cognitive openness” and “optimization of eco-cognitive situatedness”, I will propose the new concept of “epistemic irresponsibility”. I will emphasize the importance of the so-called knowledge in motion – in multidisciplinary, interdisciplinary, and transdisciplinary scientific research: the concept of knowledge in motion is also the necessary conceptual premise of the analysis of various kinds of epistemic irresponsibility. I indeed will illustrate the current increasing expansion of commodification and commercialization of science, marketing of technoscientific products, impoverishment of the epistemic niches, showing that a consequence is and could further be an attack to the possibility of a further flourishing of human fecund and successful abductive creative cognition in science, and so at the same time human creativity severely compromised.
Application of deep learning models to generate rich, dynamic and production-like test data
Authors: Tan Chao , Behjati Razieh , Arisholm Erik 
Published: October 2024

Abstract
Traditionally, software development teams in many industries have used copies of production databases or their masked, anonymized, or obfuscated versions for testing. However, privacy protection regulations, for example, the General Data Protection Regulation (GDPR), prohibit such practices. In such a situation, there is often a need to generate production-like test data, i.e., test data that is statistically representative of the production data and conforms to the domain’s constraints. In this paper, we address this need by presenting a novel approach for generating production-like test data using deep learning techniques and studying the practical effectiveness of our proposed approach in industrial settings. We frame the problem of generating production-like test data as a Language Modeling problem. We then propose a general solution for test data generation and a framework for evaluating and comparing language models based on training effectiveness and the representativeness and validity of the generated data. To evaluate the practical effectiveness of our solution, we apply it to a case study: the Norwegian National Population Registry (NPR). Within the context of NPR, we experiment with three of the most successful Deep Learning algorithms for Language Modeling, namely Recurrent Neural Networks (RNN), Variational Autoencoders, and Generative Adversarial Networks (GANs). We furthermore evaluate and compare the effectiveness of these algorithms quantitatively, using the proposed evaluation framework. The results from our case study show that our approach can generate highly complex data that is statistically representative of the production data and conforms to the business rules of the domain. Moreover, test data generated with RNN, which outperforms the other two algorithms, are syntactically and semantically valid in more than 97% of the cases and are highly representative of the real NPR data. The practical applicability of our approach is evident from the fact that our approach was fully deployed in a test environment at the NPR, generating on-the-fly and scalable amounts of production-like test data that are used in the integration testing between NPR and its data consumers.
The non-relativistic geometric trinity of gravity
Authors: Wolf William J. , Read James , Vigneron Quentin 
Published: October 2024

AbstractThe geometric trinity of gravity comprises three distinct formulations of general relativity: (i) the standard formulation describing gravity in terms of spacetime curvature, (ii) the teleparallel equivalent of general relativity describing gravity in terms of spacetime torsion, and (iii) the symmetric teleparallel equivalent of general relativity (STEGR) describing gravity in terms of spacetime non-metricity. In this article, we complete a geometric trinity of non-relativistic gravity, by (a) taking the non-relativistic limit of STEGR to determine its non-relativistic analogue, and (b) demonstrating that this non-metric theory is equivalent to Newton–Cartan theory and its teleparallel equivalent, i.e., the curvature and the torsion based non-relativistic theories that are both geometrised versions of classical Newtonian gravity.
Bayesian Ensemble Kalman Filter for Gaussian Mixture Models
Authors: Gryvill Håkon , Grana Dario , Tjelmeland Håkon 
Published: October 2024

Abstract
Inverse theory and data assimilation methods are commonly used in earth and environmental science studies to predict unknown variables, such as the physical properties of underground rocks, from a set of measured geophysical data, like geophysical seismic or electromagnetic data. A new Bayesian approach based on the ensemble Kalman filter using Gaussian mixture models is presented to overcome the assumption of Gaussian distribution of the unknown variables commonly used in the data assimilation literature and to generalize the algorithm to inverse problems with multimodal probability distributions. In applications of subsurface characterization, the multimodality of the unknown variables is generally due to the presence of different rock types, also known as geological facies. In the proposed method, the weights of the Gaussian mixture model represent the facies proportions, and they follow a Markov chain model. The proposed Bayesian model generates the unknown model parameters conditioned on measured data using a Markov chain Monte Carlo sampler. The validity of the method is demonstrated on a data assimilation problem where the goal is to estimate the posterior distribution of the unknown rock density from a set of repeated measurements of acoustic wave velocity measured at different times. The proposed method provides accurate estimates with efficient computational times.
miRNA biomarkers to predict risk of primary non-function of fatty allografts and drug induced acute liver failures
Authors: Schönberg Juliette , Borlak Jürgen 
Published: October 2024

AbstractPrimary non-function (PNF) of an allograft defines an irreversible graft failure and although rare, constitutes a life-threatening condition that requires high-urgency re-transplantation. Equally, drug induced acute liver failures (ALF) are seldom but the rapid loss of hepatic function may require orthotropic liver transplantation (OLT). Recently, we reported the development of a rodent PNF-disease model of fatty allografts and showed that a dysfunctional Cori and Krebs cycle and inhibition of lactate transporters constitute a mechanism of PNF. Based on findings from the rat PNF-disease model, we selected 15 miRNA-biomarker candidates for clinical validation and performed RT-qPCRs in well-documented PNF cases following OLT of fatty allografts. To assess specificity and selectivity, we compared their regulation in pre- and intraoperative liver biopsies and pre- and post-operative blood samples of patients undergoing elective hepatobiliary surgery. Additionally, we assessed their regulation in drug induced ALF. We confirmed clinical relevance for 11 PNF-associated miRNAs and found expression of miRNA-27b-3p, miRNA-122-3p, miRNA-125a-5p, miRNA-125b-5p and miRNA-192-5p to correlate with the hepatic steatosis grades. Furthermore, we demonstrate selectivity and specificity for the biomarker candidates with opposite regulation of let-7b-5p, miRNA-122-5p, miRNA-125b-5p and miRNA-194-5p in blood samples of patients following successful OLTs and/or liver resection. Moreover, by considering findings from 21 independent ALF-studies, we observed nine PNF-associated miRNAs regulated in common. We report miRNAs highly regulated in PNF and ALF, and their common regulation in different diseases broadens the perspective as biomarker candidates. Our study warrants independent confirmation in randomized clinical trials.
Graphical abstract

Created in BioRender. Schönberg, J. (2024) BioRender.com/e21p058
Manner/result polysemy as contextual allosemy: Evidence from Daakaka
Authors: Hopperdietzel Jens 
Published: October 2024

Abstract
Manner/result polysemy describes a phenomenon where a single root can encode both manner and result meaning components of an eventive verbal predicate. It therefore poses a challenge to (i) the hypothesis of manner/result complementarity as a fundamental constraint on verb/root meaning and (ii) a strict one-to-one mapping between roots and meaning. Examining novel data from the Oceanic language Daakaka, I provide further evidence that polysemous verbs like tiwiye ‘press manually, break’ only apparently violate manner/result complementarity, as manner and result meaning components are in complementary distribution. As both meaning components are sensitive to their morphosyntactic environment, I develop an account of contextual root allosemy, in which manner and result interpretations are associated with designated syntactic positions in relative configuration to an event-introducing verbalizer v. In particular, I argue that a single root may be associated with two non-compositional entries in the encyclopaedia, an eventive and a stative one, which allows the root to be merged in either the manner or result position. Independent support comes from suppletive verb forms in the paradigm of polysemous roots in Daakaka, where the spell-out conditions of contextual allomorphy and contextual allosemy overlap. Finally, I discuss theoretical and empirical challenges for alternative accounts of manner/result polysemy, including accounts based on derivation, coercion, and homophony.
Choosing reference land use for carbon and biodiversity footprints
Authors: Soimakallio Sampo , Norros Veera , Aroviita Jukka , Heikkinen Risto K. , Lehtoranta Suvi , Myllyviita Tanja , Pihlainen Sampo , Sironen Susanna , Toivonen Marjaana 
Published: October 2024

Abstract
Purpose
Carbon and biodiversity footprints are increasingly calculated. However, little attention has been paid to the coherency of methodological choices and interpretation of the footprint results. This paper aims to clarify the coherency between the choice of reference land use and carbon and biodiversity footprints and discuss the challenges encountered.

Methods
First, we analyse features of reference land use options proposed in ISO 14067 (2018) i.e. business as usual, projected future, target, potential natural regeneration and historic baseline. Second, we discuss the connection between temporal scope and life cycle of land use. Third, we provide guidance on how to choose reference land use coherently. Fourth, we discuss specific issues related to carbon and biodiversity footprints and their relationship to reference land use. Finally, we provide conclusions and recommendations for further conceptual development.

Results and discussion
Choice of reference land use and determination of temporal scope of a study may significantly influence the assessment of carbon or biodiversity footprints. If the aim of a footprint study is to assess the effects of land use, reference land use should describe dynamically non-use of land. Thus, potential natural regeneration or continuation of natural state (if it is the starting point) of land is the coherent reference land use in this case. If the aim of a footprint study is to assess the effects of a decision to change land use or its management, reference land use should describe dynamically alternative use of land expected without the studied decision. Business as usual or projected future is a coherent reference land use in this case. Historic baseline or target reference land use may be useful in comparing the ecosystem value of the studied land use with a pre-set historic baseline or (policy) target.

Conclusions
We conclude that coherent choice of reference land use for carbon or biodiversity footprints depends on the goal and scope of a study. Beyond methodological coherency, issues related to the reliability and availability of appropriate data are relevant and vary between reference land use choices. However, difficulties in the assessment should not justify incoherent choices. We recommend that uncertainties are not overlooked but incorporated in the assessment and considered in the interpretation of the results. In addition, we recommend that key methodological choices, including the definition of the purpose of a study, chosen temporal scope and applied reference land use, should be clearly and transparently presented.
Optimizing Transformation-Induced Plasticity to Resist Microvoid Softening
Authors: Snow Brandon D. , Olson G. B. , Parks D. M. 
Published: October 2024

AbstractMany high-performance steels that are critical for energy-efficient, lightweight designs rely on transformation-induced plasticity (TRIP) to achieve superior combinations of strength and ductility/toughness. Further development of these alloys will require greater optimization of the metastable (retained) austenite phase responsible for TRIP. Considering the complex nature of TRIP and its effects on ductile fracture, an integrated computational materials engineering (ICME) approach to materials optimization is desired. In this work, we report the results of a large series of micromechanical finite element calculations that probe the interaction of TRIP and void-mediated ductile fracture mechanisms. The simulations identify the optimal austenite stability for maximizing the benefit of TRIP across a wide range of stress states. The applied stress triaxiality significantly influences the microvoid growth rate and the computationally determined optimal stability. The simulation results are compared with existing experimental data, demonstrating good agreement.