bluuebunny/crossref_metadata_2025_split huggingface dataset:
Emotion work, national identity, and Erdoğanism among Turkish immigrants in Germany
Authors: Tokdoğan Nagehan 
Published: November 2024

Abstract
Amidst the post-war “economic miracle” (Wirtschaftswunder) in Germany, the government tapped into foreign labor resources, including Turkish “guest workers.” Over the years, Turkish immigrants and their descendants have remained central to societal discussions, particularly since Recep Tayyip Erdoğan rose to leadership in Turkey, garnering a devoted voter base among this demographic. Drawing on the concepts of emotional community, feeling rules, and emotion work, I trace how the affinity towards Erdoğan is, in part, fueled by conflicts arising from broader tensions between the German majority and the Turkish-origin community. For many, the allure of “Erdoğanism” lies in its provision of ethno-nationalist solidarity, offering a coping mechanism for enduring societal challenges, even after decades in Germany. Employing narrative analysis, this article delves into how the embrace of “Erdoğanism” appears to serve as a means to suppress feelings of national humiliation and evoke a hubristic sense of national pride.
The Petrology and Geochemistry of the 2021 Fagradalsfjall Eruption, Iceland: An Eruption Sourced From Multiple, Compositionally Diverse, Near‐Moho Sills
Authors: Marshall E. W. , Caracciolo A. , Bali E. , Halldórsson S. A. , Matthews S. , Ranta E. , Rasmussen M. B. , Robin J. G. , Guðfinnson G. H. , Maclennan J. , Bosq C. , Auclair D. , Sigmarsson O. , Merrill H. , Gísladóttir B. , Johnson S. , Löw N. , Stracke A. , Genske F. 
Published: November 2024

AbstractMagmatic processes at the crust‐mantle boundary (i.e., Moho) are commonly studied post facto at fossil ophiolites, oceanic core complexes, or inferred from the compositions of crystals or melt inclusions. The 2021 eruption at Fagradalsfjall on the Reykjanes Peninsula, Iceland, was supplied from magma bodies near the Moho and offers a unique opportunity to study the timescales, structure, and syn‐eruptive processes of near‐Moho magmatic systems at ∼15 km depth. Here, we present a comprehensive petrological and geochemical investigation of the full 183 day eruption that is based on frequent sampling of the eruption. Lavas erupted in the first 45 days displayed significant and sudden changes in geochemistry, followed by lower amplitude fluctuations until the end of the eruption. This variability can be explained by contribution from multiple magma bodies, as best distinguished using Sr‐Nd‐Hf‐Pb isotope systematics. The lavas display unusual trace element and radiogenic isotope compositions compared to other Icelandic basalts, but are similar to other rare, highly incompatible element enriched lavas on the Reykjanes Peninsula, and thus these lavas may represent a distinct suite of Reykjanes Peninsula basalts. Our geochemical and petrological observations show that numerous, compositionally variable bodies of magma must exist in the lowermost crust or at the crust‐mantle boundary. These near‐Moho magma bodies transfer magma between one another on timescales as short as days‐to‐months, but partially crystallize over longer time periods, and periodically inject into the overlying crust.
On the Temporal Decay of Tropical Cyclones Over the Ocean
Authors: Li Min , Toumi Ralf 
Published: November 2024

AbstractIt is important to understand how tropical cyclones (TCs) decay over the ocean as this is a critical pre‐landfall stage. A modified exponential decay model ( model) with two parameters and is proposed. The scale parameter defines the decay scale, while the shape parameter determines whether the decay rate decelerates or accelerates over time. Global fittings indicate that around 40% of TCs exhibit decelerating decay , while the majority (about 60%) show accelerating decay . Correlation analysis reveals a strong negative correlation between the scale parameter and the initial Coriolis parameter and a positive correlation between the shape parameter and the meridional component of the initial translation velocity . The model provides a comprehensive understanding of how TCs decay with time and how environmental conditions affect the decay scale and evolution.
Seismoelectric Imaging of Aquifer Interface: Theoretical Investigation and Laboratory Experiments
Authors: Liu Jiaoyang , Gao Yongxin , Wang Jun , Zhu Tieyuan , Ding Pinbo , Zhou Guanqun , Li Shuaijia 
Published: November 2024

AbstractThe seismoelectric (SE) wave at the vadose zone‐aquifer interface, which results from the electrokinetic effect, is a valuable tool for groundwater exploration. We propose a method for imaging aquifer interfaces using SE waves. The common‐receiver SE gather, generated by multiple sources, is analogous to the exploding‐reflector seismic gather, forming the theoretical foundation of this method. To test this method, two 2D aquifer models are designed to simulate the synthetic common‐receiver SE gather, followed by the application of exploding‐reflector migration. The result shows that the aquifer interface is well imaged by the SE waves. Additionally, laboratory experiments successfully recovering the interfaces of the rocks confirm the validity of the SE imaging method, suggesting its feasible use in real groundwater exploration in the future.
Combination of Multiple Isotopes and PMF Model Provide Insights Into the Method Optimization of PM2.5 Source Apportionment During Haze Episodes
Authors: Feng Xinxin , Chen Yingjun , Jiang Hongxing , Cai Junjie , Liu Zeyu , Feng Yanli , Li Menglong , Mu Yujing , Chen Jianmin , Chen Tian 
Published: November 2024

AbstractThe key problems with Positive Matrix Factorization (PMF) model for PM2.5 source apportionment were inconsistent results with different species selections and a lack of evaluation criteria for results accuracy. Moreover, high proportions of secondary inorganic aerosols sources (SNA) were identified by PMF without corresponding primary sources. This study develops a new method that combines multi‐isotopes (34S, 15N, 18O and 14C) and PMF model to optimize source apportionment. Data sets A–F, constructed from PM2.5 components, were input into PMF model to obtain optimal results (3–9 factors), which changed with the selection of species. Specifically, the contributions of coal combustion (CC, 3%–36%), biomass burning (BB, 11%–38%), and vehicle sources (VS, 4%–15%) showed significant differences in data sets, indicating that conventional methods cannot obtain accurate results. Then, 15N, 34S, 18O were introduced to restrict and reallocate identified SNA sources to primary sources, overcoming the influence of species on results. Additionally, 14C was used to evaluate data sets results, which showed that the combination of PMF model with more markers (data set F, 9‐factor) and multi‐isotopes techniques obtained optimized results that aligned with 14C results. Compared with the initial results, the contributions of CC, VS, and BB in the allocated 9‐factor increased by 26.4%, 5%, and 19.5%, respectively, becoming main sources of PM2.5. This study represents the first time that combination of PMF model and multi‐isotopes achieves SNA sources reapportionment and results evaluation, improving source apportionment methods.
Accurate and Efficient Numerical Simulation of Land Models Using SUMMA With SUNDIALS
Authors: Spiteri Raymond J. , Van Beusekom Ashley E. , Klenk Kyle , Zolfaghari Reza , Trim Sean J. , Knoben Wouter J. M. , Ireson Andrew M. , Clark Martyn P. 
Published: November 2024

AbstractNumerical simulation of land models without error control can be highly inaccurate. We present the incorporation of the Suite of Nonlinear and Differential‐Algebraic Equation Solvers (SUNDIALS) package to solve the equations that simulate thermodynamics and hydrologic processes in the Structure for Unifying Multiple Modeling Alternatives (SUMMA) land model. The algorithmic features of SUNDIALS, such as error estimation and adaptive order and step‐size control, result in a SUMMA‐SUNDIALS model that delivers substantially improved accuracy and relative computational efficiency compared to integration with the previous SUMMA model, which uses the low‐order backward Euler method with no rigorous error control. The results are demonstrated through simulations over the North American continent with more than 500,000 spatial elements. Compared to the previous SUMMA model, we find that the simulations produced by the SUMMA‐SUNDIALS model are orders of magnitude closer to converged solutions for the same computational cost. Being able to efficiently perform more reliable simulations makes the SUMMA‐SUNDIALS model a powerful tool for improving our understanding of the terrestrial component of the Earth System.
A Numerical Model to Simulate the Mass Transfer Process of Supersaturated Total Dissolved Gas in Aerated Conditions
Authors: Ou Yangming , Li Ran , Feng Jingjie , Wan Hang , Cai Yanpeng , Yang Zhifeng , Zhu Guoyu , Liu Shengyun , El‐Fatah Abomohra Abd , Huang Juping 
Published: November 2024

AbstractHydropower provides continuous and clean energy for human consumption but also brings a series of environmental concerns to local watersheds. Gas bubble disease or mass mortality in fish can be attributed to total dissolved gas (TDG) supersaturation, which occurs when water is released from dams. It is possible to create temporary refuges for fish suffering from supersaturated total dissolved gas (STDG) by strategically arranging aeration facilities along rivers or reservoirs and using the bubbles generated by aeration to increase the dissipation of STDG. The critical limitation to the widespread application of this approach in engineering is the insufficient understanding of the mass transfer mechanisms of STDG under aerated conditions and the transport characteristics of STDG in water flows. In this work, the mass transfer (MT) mechanisms of STDG under aerated conditions were systematically studied via experiments, image processing, and numerical simulation. An innovative three‐dimensional numerical model was established to forecast the MT process of STDG under aerated conditions. The determination of STDG MT in the model incorporated a sophisticated approach that accounted for the dynamic changes in bubble sizes resulting from diverse mechanisms of bubble coalescence and breakup. To validate and calibrate the model, precise aeration experiments were executed at various aeration intensities to gather data on the bubble size distribution, total gas holdup, and STDG dissipation rates. Furthermore, a numerical model was used to quantitatively investigate the impact of the aerator installation depth on STDG dissipation performance. The results revealed that the relationship between the dissipation coefficients of STDG and the aerator installation depth followed a power function. This research can enhance the understanding of the MT characteristics of STDG under aeration conditions while also providing a useful tool for studying the design and optimization of facilities related to STDG engineering treatment via aeration measures.
Cerebral magnetic resonance spectroscopy – insights into preterm brain injury
Authors: Zasada Magdalena , Karcz Paulina , Olszewska Marta , Kowalik Aleksandra , Zasada Wojciech , Herman-Sucharska Izabela , Kwinta Przemko 
Published: November 2024

Abstract

Objective
Magnetic resonance spectroscopy (1H-MRS) may provide clinically relevant data regarding metabolic processes that govern the course of preterm brain injury.

Study design
46 very preterm infants (VP) were evaluated by magnetic resonance imaging and 1H-MRS at term-equivalent age. Brain injury was assessed according to the Kidokoro scale. Moreover, 17 term-born infants with hypoxic-ischemic encephalopathy (HIE) were scanned. The metabolic profile of the central nervous system was obtained from the bilateral thalamus.

Result
The Lipids/Creatine, Choline/Creatine, N-acetyl aspartate/Choline, Lactate/N-acetyl aspartate, and Lactate/Creatine ratios differed between VP infants with moderate+severe brain damage and those without brain injury. Moreover, VP infants with moderate+severe brain damage had higher Lactate/ N-acetyl aspartate and Lactate/Creatine ratios than HIE group.

Conclusion
There were significant differences in the cerebral metabolite profile at TEA between VP infants with and without brain injury. The 1H-MRS profile of VP infants with moderate+severe brain damage may reflect profound chronic metabolic alterations.
Postnatal growth of etiologically characterized preterm newborns according to gestational age at birth
Authors: Roggero Paola , Ryumina Irina , Gunier Robert B. , Winsey Adele , Rauch Stephen A. , Zarco Irma Alejandra Coronado , Ariff Shabina , Rego Maria Albertina S. , Conti Constanza Soto , Ochieng Roseline , Tuzun Funda , Asibey Jacqueline , Giuliani Francesca , Renau Montserrat Izquierdo , Shekharappa Chandrakala Bada , Lapillonne Alexandre , Tavcioska Gabriela , Ismail Leila Cheikh , Menis Camilla , Markelova Marina , Nieto Ricardo , Duah Josephine Agyeman , Deantoni Sonia , Madrid Brenda Frias , Mosca Fabio , Eskenazi Brenda , Lambert Ann , Bhutta Zulfiqar , Papageorghiou Aris , Kennedy Stephen , Villar Jose 
Published: November 2024

Abstract
Objective
To examine the relationship between etiologically-based preterm birth sub-groups and early postnatal growth according to gestational age at birth.

Methods
Prospective, multinational, cohort study involving 15 hospitals that monitored preterm newborns to hospital discharge. Measures/exposures: maternal demographics; etiologically-based preterm birth sub-groups; very, moderate and late preterm categories, and feeding. Primary outcomes: serial anthropometric measures expressed as z-scores of the INTERGROWTH-21st preterm postnatal growth standards.

Results
We included 2320 singletons and 1180 twins: very=24.4% (n = 856, including 178 < 28 weeks’ gestation); moderate=16.9% (n = 592) and late preterm=58.6% (n = 2052). The median (interquartile range) postmenstrual age at the last measure was 37 (36–38) weeks. The ‘no main condition’ sub-group percentage increased from early to late preterm; the ‘perinatal sepsis’ sub-group percentage decreased. ‘Perinatal sepsis’, ‘suspected IUGR’ and ‘fetal distress’ very and late preterm infants had lower postnatal growth patterns than the ‘no main condition’ reference sub-group. This pattern persisted in late but not very preterm infants when postnatal growth was corrected for weight z-score at birth.

Conclusion
The proportional contribution of etiologically-based preterm sub-groups and their postnatal growth trajectories vary by preterm category. Postnatal growth is partially independent of fetal growth in the majority of preterm infants (i.e., those born late preterm).

Impact

Preterm birth, the leading cause of under-5 mortality, is a highly heterogenous syndrome, with surviving infants at risk of suboptimal growth, morbidity, and impaired neurodevelopment.

Both the proportional contribution of etiologically-based sub-groups and their postnatal growth trajectories vary by preterm category (very/moderate/late).

The ‘perinatal sepsis’, ‘suspected IUGR’ and ‘fetal distress’ sub-groups amongst very and late preterm infants had lower postnatal growth than the ‘no main condition’ preterm infants. The pattern persisted after adjusting for birth size only in the late preterms.

Postnatal growth is partially independent of fetal growth in the majority of preterm infants (i.e., those born late preterm).
Cardiomyocyte and stromal cell cross-talk influences the pathogenesis of arrhythmogenic cardiomyopathy: a multi-level analysis uncovers DLK1-NOTCH pathway role in fibro-adipose remodelling
Authors: Maione Angela Serena , Iengo Lara , Sala Luca , Massaiu Ilaria , Chiesa Mattia , Lippi Melania , Ghilardi Stefania , Florindi Chiara , Lodola Francesco , Zaza Antonio , Tondo Claudio , Schiavone Marco , Banfi Cristina , Pompilio Giulio , Poggio Paolo , Sommariva Elena 
Published: November 2024

AbstractArrhythmogenic Cardiomyopathy (ACM) is a life-threatening, genetically determined disease primarily caused by mutations in desmosomal genes, such as PKP2. Currently, there is no etiological therapy for ACM due to its complex and not fully elucidated pathogenesis. Various cardiac cell types affected by the genetic mutation, such as cardiomyocytes (CM) and cardiac mesenchymal stromal cells (cMSC), individually contribute to the ACM phenotype, driving functional abnormalities and fibro-fatty substitution, respectively. However, the relative importance of the CM and cMSC alterations, as well as their reciprocal influence in disease progression remain poorly understood. We hypothesised that ACM-dependent phenotypes are driven not only by alterations in individual cell types but also by the reciprocal interactions between CM and cMSC, which may further impact disease pathogenesis. We utilized a patient-specific, multicellular cardiac system composed of either control or PKP2-mutated CM and cMSC to assess the mutation’s role in fibro-fatty phenotype by immunofluorescence, and contractile behaviour of co-cultures using cell motion detection software. Additionally, we investigated reciprocal interactions both in silico and via multi-targeted proteomics. We demonstrated that ACM CM can promote fibro-adipose differentiation of cMSC. Conversely, ACM cMSC contribute to increasing the rate of abnormal contractile events with likely arrhythmic significance. Furthermore, we showed that an ACM-causative mutation alters the CM-cMSC interaction pattern. We identified the CM-sourced DLK1 as a novel regulator of fibro-adipose remodelling in ACM. Our study challenges the paradigm of exclusive cell-specific mechanisms in ACM. A deeper understanding of the cell-cell influence is crucial for identifying novel therapeutic targets for ACM, and this concept is exploitable for other cardiomyopathies.
Variability of functional and biodiversity responses to perturbations is predictable and informative
Authors: Orr James A. , Piggott Jeremy J. , Jackson Andrew L. , Jackson Michelle C. , Arnoldi Jean-François 
Published: November 2024

AbstractPerturbations such as climate change, invasive species and pollution, impact the functioning and diversity of ecosystems. However diversity has many meanings, and ecosystems provide a plethora of functions. Thus, on top of the various perturbations that global change represents, there are also many ways to measure a perturbation’s ecological impact. This leads to an overwhelming response variability, which undermines hopes of prediction. Here, we show that this variability can instead provide insights into hidden features of functions and of species responses to perturbations. By analysing a dataset of global change experiments in microbial soil systems we first show that the variability of functional and diversity responses to perturbations is not random; functions that are mechanistically similar tend to respond coherently. Furthermore, diversity metrics and broad functions (e.g. total biomass) systematically respond in opposite ways. We then formalise these observations to demonstrate, using geometrical arguments, simulations, and a theory-driven analysis of the empirical data, that the response variability of ecosystems is not only predictable, but can also be used to access useful information about species contributions to functions and population-level responses to perturbations. Our research offers a powerful framework for understanding the complexity of ecological responses to global change.
Weather-responsive adaptive shading through biobased and bioinspired hygromorphic 4D-printing
Authors: Cheng Tiffany , Tahouni Yasaman , Sahin Ekin Sila , Ulrich Kim , Lajewski Silvia , Bonten Christian , Wood Dylan , Rühe Jürgen , Speck Thomas , Menges Achim 
Published: November 2024

AbstractIn response to the global challenge of reducing carbon emissions and energy consumption from regulating indoor climates, we investigate the applicability of biobased cellulosic materials and bioinspired 4D-printing for weather-responsive adaptive shading in building facades. Cellulose is an abundantly available natural material resource that exhibits hygromorphic actuation potential when used in 4D-printing to emulate motile plant structures in bioinspired bilayers. Three key aspects are addressed: (i) examining the motion response of 4D-printed hygromorphic bilayers to both temperature and relative humidity, (ii) verifying the responsiveness of self-shaping shading elements in lab-generated conditions as well as under daily and seasonal weather conditions for over a year, and (iii) deploying the adaptive shading system for testing in a real building facade by upscaling the 4D-printing manufacturing process. This study demonstrates that hygromorphic bilayers can be utilized for weather-responsive facades and that the presented system is architecturally scalable in quantity. Bioinspired 4D-printing and biobased cellulosic materials offer a resource-efficient and energy-autonomous solution for adaptive shading, with potential contributions towards indoor climate regulation and climate change mitigation.
New weapons explosive exhibits persistent toxicity in plants
Authors: Oates Nicola C. , Nay Edward R. , Cary Timothy J. , Rylott Elizabeth L. , Bruce Neil C. 
Published: November 2024

Abstract
Explosives are widespread, toxic and persistent environmental pollutants. 2,4-Dinitroanisole (DNAN) is being phased in to replace 2,4,6-trinitrotoluene (TNT) in munitions. Here we demonstrate that only low levels of DNAN are detoxified in Arabidopsis, leaving it to remain as a substrate for monodehydroascorbate reductase 6 mediated chronic phytotoxicity. Enhancing the potential for environmental toxicity, DNAN is readily transported to the aerial tissues exposing this toxin to herbivores and the wider food chain.
Efficient formation of a massive quiescent galaxy at redshift 4.9
Authors: de Graaff Anna , Setton David J. , Brammer Gabriel , Cutler Sam , Suess Katherine A. , Labbé Ivo , Leja Joel , Weibel Andrea , Maseda Michael V. , Whitaker Katherine E. , Bezanson Rachel , Boogaard Leindert A. , Cleri Nikko J. , De Lucia Gabriella , Franx Marijn , Greene Jenny E. , Hirschmann Michaela , Matthee Jorryt , McConachie Ian , Naidu Rohan P. , Oesch Pascal A. , Price Sedona H. , Rix Hans-Walter , Valentino Francesco , Wang Bingjie , Williams Christina C. 
Published: November 2024

Abstract
Within the established framework of structure formation, galaxies start as systems of low stellar mass and gradually grow into far more massive galaxies. The existence of massive galaxies in the first billion years of the Universe, as suggested by recent observations, seems to challenge this model, as such galaxies would require highly efficient conversion of baryons into stars. An even greater challenge in this epoch is the existence of massive galaxies that have already ceased forming stars. However, robust detections of early massive quiescent galaxies have been challenging due to the coarse wavelength sampling of photometric surveys. Here we report the spectroscopic confirmation with the James Webb Space Telescope of the quiescent galaxy RUBIES-EGS-QG-1 at redshift z = 4.90, 1.2 billion years after the Big Bang. Deep stellar absorption features in the spectrum reveal that the stellar mass of the galaxy of 1011 M
⊙ formed in a short 200 Myr burst of star formation, after which star formation activity dropped rapidly and persistently. According to current galaxy formation models, systems with such rapid stellar mass growth and early quenching are too rare to plausibly occur in the small area probed spectroscopically with JWST. Instead, the discovery of RUBIES-EGS-QG-1 implies that early massive quiescent galaxies can be quenched earlier or exhaust gas available for star formation more efficiently than assumed at present.