bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Shifting Distribution of Arctic Daily Temperatures Under Global Warming
Authors: Giesse Céline , Notz Dirk , Baehr Johanna 
Published: November 2024

AbstractWe examine daily surface air temperatures (SAT) in the Arctic under global warming, synthesizing changes in mean temperature, variability, seasonality, and extremes based on five Earth system model large ensembles from the Coupled Model Intercomparison Project Phase 6. Our analysis shows that the distribution of daily Arctic SAT changes substantially, with Arctic mean temperatures being distinguishable from pre‐industrial levels on 84% and 97% of days at 1.5 and 2°C of global warming, respectively, and on virtually every day at 3°C of global warming. This shift is primarily due to the rapid rise in average temperature resulting from Arctic amplification and is exacerbated by a decrease in the variability of daily Arctic SAT of approximately 8.5% per degree of global warming. The changes in mean temperature and variability are more pronounced in the cold seasons than in summer, resulting in a weakened and shifted seasonal cycle of Arctic SAT. Moreover, the intensity and frequency of warm and cold extreme events change to varying degrees. The hottest days warm slightly more, while the coldest days warm 4–5 times more than the global average temperature, making extreme cold events rare. Changes in local SAT vary regionally across the Arctic and are most significant in areas of sea‐ice loss. Our findings underscore the Arctic's amplified sensitivity to global warming and emphasize the urgent need to limit global warming to mitigate impacts on human and natural systems.
A See‐Saw of Subduction Rate in the North Pacific Western and Eastern Subtropical Mode Water Formation Areas Induced by the Aleutian Low
Authors: Wang Jianing , Liu LingLing , Lin YongFu , Yu JinYi , Wang Fan 
Published: November 2024

AbstractSubduction of water masses serves as a critical linkage between the surface and subsurface ocean, playing a crucial role in redistributing heat, carbon, and nutrients in the ocean. This process significantly influences global climate and marine ecosystem dynamics. Analyzing five ocean reanalysis data sets, we reveal a distinctive see‐saw pattern in anomalous subduction rates between western and eastern Subtropical Mode Water (STMW) formation areas. This pattern is predominantly driven by variations in latent heat flux, which modulates the late‐winter mixed layer depth. We demonstrate that late‐winter Aleutian Low (AL) activity induces these anti‐phase variations through its impact on latent heat flux. Notably, the Pacific Decadal Oscillation (PDO) significantly influences this subduction see‐saw pattern. During PDO warm phases, AL southward shift intensifies the anti‐correlated variations. Conversely, during cold phases, AL northward shift weakens its influence on ESTMW area, resulting in a less stable anti‐phase relationship.
Homozygous synonymous FAM111A variant underlies an autosomal recessive form of Kenny-Caffey syndrome
Authors: Bonde Loisa Dana , Abdelrazek Ibrahim M. , Seif Lara , Alawi Malik , Matrawy Khaled , Nabil Karim , Abdalla Ebtesam , Kutsche Kerstin , Harms Frederike Leonie 
Published: November 2024

Abstract
FAM111A (family with sequence similarity 111 member A) is a serine protease and removes covalent DNA-protein cross-links during DNA replication. Heterozygous gain-of-function variants in FAM111A cause skeletal dysplasias, such as the perinatal lethal osteocraniostenosis and the milder Kenny-Caffey syndrome (KCS). We report two siblings born to consanguineous parents with dysmorphic craniofacial features, postnatal growth retardation, ophthalmologic manifestations, hair and nail anomalies, and skeletal abnormalities such as thickened cortex and stenosis of the medullary cavity of the long bones suggestive of KCS. Using exome sequencing, a homozygous synonymous FAM111A variant, NM_001312909.2:c.81 G > A; p.Pro27=, that affects the last base of the exon and is predicted to alter FAM111A pre-mRNA splicing, was identified in both siblings. We identified aberrantly spliced FAM111A transcripts, reduced FAM111A mRNA levels, and near-complete absence of FAM111A protein in fibroblasts of both patients. After treatment of patient and control fibroblasts with different concentrations of camptothecin that induces covalent DNA-protein cross-links, we observed a tendency towards a reduced proportion of metabolically active cells in patient compared to control fibroblasts. However, under these culture conditions, we did not find consistent and statistically significant differences in cell cycle progression and apoptotic cell death between patient and control cells. Our findings show that FAM111A deficiency underlies an autosomal recessive form of FAM111A-related KCS. Based on our results and published data, we hypothesize that loss of FAM111A and FAM111A protease hyperactivity, as observed for gain-of-function patient-variant proteins, may converge on a similar pathomechanism underlying skeletal dysplasias.
Origins and impact of extrachromosomal DNA
Authors: Bailey Chris , Pich Oriol , Thol Kerstin , Watkins Thomas B. K. , Luebeck Jens , Rowan Andrew , Stavrou Georgia , Weiser Natasha E. , Dameracharla Bhargavi , Bentham Robert , Lu Wei-Ting , Kittel Jeanette , Yang S. Y. Cindy , Howitt Brooke E. , Sharma Natasha , Litovchenko Maria , Salgado Roberto , Hung King L. , Cornish Alex J. , Moore David A. , Houlston Richard S. , Bafna Vineet , Chang Howard Y. , Nik-Zainal Serena , Kanu Nnennaya , McGranahan Nicholas ,   Genomics England Consortium, Ambrose J. C. , Arumugam P. , Bevers R. , Bleda M. , Boardman-Pretty F. , Boustred C. R. , Brittain H. , Brown M. A. , Caulfield M. J. , Chan G. C. , Giess A. , Griffin J. N. , Hamblin A. , Henderson S. , Hubbard T. J. P. , Jackson R. , Jones L. J. , Kasperaviciute D. , Kayikci M. , Kousathanas A. , Lahnstein L. , Lakey A. , Leigh S. E. A. , Leong I. U. S. , Lopez F. J. , Maleady-Crowe F. , McEntagart M. , Minneci F. , Mitchell J. , Moutsianas L. , Mueller M. , Murugaesu N. , Need A. C. , O’Donovan P. , Odhams C. A. , Patch C. , Perez-Gil D. , Pereira M. B. , Pullinger J. , Rahim T. , Rendon A. , Rogers T. , Savage K. , Sawant K. , Scott R. H. , Siddiq A. , Sieghart A. , Smith S. C. , Sosinsky A. , Stuckey A. , Tanguy M. , Taylor Tavares A. L. , Thomas E. R. A. , Thompson S. R. , Tucci A. , Welland M. J. , Williams E. , Witkowska K. , Wood S. M. , Zarowiecki M. , Flanagan Adrienne M. , Mischel Paul S. , Jamal-Hanjani Mariam , Swanton Charles 
Published: November 2024

AbstractExtrachromosomal DNA (ecDNA) is a major contributor to treatment resistance and poor outcome for patients with cancer1,2. Here we examine the diversity of ecDNA elements across cancer, revealing the associated tissue, genetic and mutational contexts. By analysing data from 14,778 patients with 39 tumour types from the 100,000 Genomes Project, we demonstrate that 17.1% of tumour samples contain ecDNA. We reveal a pattern highly indicative of tissue-context-based selection for ecDNAs, linking their genomic content to their tissue of origin. We show that not only is ecDNA a mechanism for amplification of driver oncogenes, but it also a mechanism that frequently amplifies immunomodulatory and inflammatory genes, such as those that modulate lymphocyte-mediated immunity and immune effector processes. Moreover, ecDNAs carrying immunomodulatory genes are associated with reduced tumour T cell infiltration. We identify ecDNAs bearing only enhancers, promoters and lncRNA elements, suggesting the combinatorial power of interactions between ecDNAs in trans. We also identify intrinsic and environmental mutational processes linked to ecDNA, including those linked to its formation, such as tobacco exposure, and progression, such as homologous recombination repair deficiency. Clinically, ecDNA detection was associated with tumour stage, more prevalent after targeted therapy and cytotoxic treatments, and associated with metastases and shorter overall survival. These results shed light on why ecDNA is a substantial clinical problem that can cooperatively drive tumour growth signals, alter transcriptional landscapes and suppress the immune system.
Intermittent rate coding and cue-specific ensembles support working memory
Authors: Panichello Matthew F. , Jonikaitis Donatas , Oh Yu Jin , Zhu Shude , Trepka Ethan B. , Moore Tirin 
Published: November 2024

AbstractPersistent, memorandum-specific neuronal spiking activity has long been hypothesized to underlie working memory1,2. However, emerging evidence suggests a potential role for ‘activity-silent’ synaptic mechanisms3–5. This issue remains controversial because evidence for either view has largely relied either on datasets that fail to capture single-trial population dynamics or on indirect measures of neuronal spiking. We addressed this controversy by examining the dynamics of mnemonic information on single trials obtained from large, local populations of lateral prefrontal neurons recorded simultaneously in monkeys performing a working memory task. Here we show that mnemonic information does not persist in the spiking activity of neuronal populations during memory delays, but instead alternates between coordinated ‘On’ and ‘Off’ states. At the level of single neurons, Off states are driven by both a loss of selectivity for memoranda and a return of firing rates to spontaneous levels. Further exploiting the large-scale recordings used here, we show that mnemonic information is available in the patterns of functional connections among neuronal ensembles during Off states. Our results suggest that intermittent periods of memorandum-specific spiking coexist with synaptic mechanisms to support working memory.
Autonomous mobile robots for exploratory synthetic chemistry
Authors: Dai Tianwei , Vijayakrishnan Sriram , Szczypiński Filip T. , Ayme Jean-François , Simaei Ehsan , Fellowes Thomas , Clowes Rob , Kotopanov Lyubomir , Shields Caitlin E. , Zhou Zhengxue , Ward John W. , Cooper Andrew I. 
Published: November 2024

AbstractAutonomous laboratories can accelerate discoveries in chemical synthesis, but this requires automated measurements coupled with reliable decision-making1,2. Most autonomous laboratories involve bespoke automated equipment3–6, and reaction outcomes are often assessed using a single, hard-wired characterization technique7. Any decision-making algorithms8 must then operate using this narrow range of characterization data9,10. By contrast, manual experiments tend to draw on a wider range of instruments to characterize reaction products, and decisions are rarely taken based on one measurement alone. Here we show that a synthesis laboratory can be integrated into an autonomous laboratory by using mobile robots11–13 that operate equipment and make decisions in a human-like way. Our modular workflow combines mobile robots, an automated synthesis platform, a liquid chromatography–mass spectrometer and a benchtop nuclear magnetic resonance spectrometer. This allows robots to share existing laboratory equipment with human researchers without monopolizing it or requiring extensive redesign. A heuristic decision-maker processes the orthogonal measurement data, selecting successful reactions to take forward and automatically checking the reproducibility of any screening hits. We exemplify this approach in the three areas of structural diversification chemistry, supramolecular host–guest chemistry and photochemical synthesis. This strategy is particularly suited to exploratory chemistry that can yield multiple potential products, as for supramolecular assemblies, where we also extend the method to an autonomous function assay by evaluating host–guest binding properties.
Improvements for the solution of crack evolution using extended finite element method
Authors: Wang Yuxiao , Javadi Akbar A. , Fidelibus Corrado , Liang Huiqi 
Published: November 2024

AbstractIt is demonstrated that the eXtended Finite Element Method (XFEM) is of remarkable efficiency in simulating crack evolution by eliminating the need for remeshing and refinement. In this paper, it is shown how to enhance the solution efficiency through a comprehensive mathematical investigation of the solution process using XFEM. A typical example is presented to illustrate the disparities in nodal displacements along the two symmetric faces of the crack resulting from the approximation of XFEM. By analysing the structure and components of the global stiffness matrix, the underlying causes of these discrepancies are identified. Building upon these findings, two improvements of the solution are proposed to gain an acceptable accuracy in computing the nodal displacements. The first improvement consists of the subdivision of the enriched elements depending on the characteristic of the distribution of Gauss points. The second improvement is set by determining the optimal number of Gauss points in each sub-element near the crack tip. To calculate the stress intensity factor of the crack under surface pressure, such improvements are applied in conjunction with the interaction integral method, which significantly reduces computational time and eliminates the influence of surface tractions. The numerical solution is validated by comparing it with the analytical solution and the standard XFEM solution. The proposed improvements can enhance both the accuracy of the solution and the computational efficiency of XFEM.
Reflectance mapping with microsphere-assisted white light interference nanoscopy
Authors: Marbach Sébastien , Claveau Rémy , Montgomery Paul , Flury Manuel 
Published: November 2024

AbstractThe characterisation of novel materials presents a challenge that requires new and original developments. To face some of these demands for making measurements at the nanoscale, a new microsphere-assisted white light interference nanoscope performing local reflectance mapping is presented. This technique presents the advantages of being non-destructive, full-field and label-free. A 145 μm diameter microsphere, glued to the end of an optical fiber, is inserted inside the white light interference microscope to improve the lateral resolution from 940 nm to 520 nm. The acquisition and the Fourier transform processing of a stack of interference images superimposed on the virtual image produced by the microsphere allows the extraction of the local reflectance over a wavelength range of 460 nm to 900 nm and a field of view of 8 μm in diameter. The enhancement in the lateral resolution of the reflectance is demonstrated through the spectral distinction of neighboring ripples on a laser-textured colored stainless-steel sample that cannot be resolved without the microsphere, on regions with a surface of 279 × 279 nm2 horizontally spaced 279 nm apart. Future improvements could potentially lead to a lateral resolution of reflectance measurement over a 100 nm diameter area in air, paving the way to sub-diffraction reflectance mapping.
Investigation on CuO nanoparticle enhanced mahua biodiesel/diesel fuelled CI engine combustion for improved performance and emission abetted by response surface methodology
Authors: Muniyappan Sinnappadass , Krishnaiah Ravi 
Published: November 2024

AbstractIn this study, the characteristics of diesel engines were tested with in-house produced mahua biodiesel blended with diesel and copper oxide nanoparticles (CuO NP) catalyst. The preliminary investigation used mahua biodiesel-diesel blends (M10, M20, and M30) among them M20 outperformed. Further M20 and CuO NP with concentrations of 25, 50, and 75 ppm are studied. Finally, the response surface methodology (RSM) was used to determine the appropriate NP concentration for M20. The findings showed that the blend of M20 with 60 ppm NP at 80% load had the highest desirability (0.9740), and the developed RSM model predicted engine responses with a mean absolute percentage error (MAPE) of 3.0962% to the confirmation test confirming the model’s accuracy. The optimized M20NP60 blend demonstrated superior combustion, performance and emission characteristics.
A green approach for dyeing cotton fabrics using synthesized reactive disperse dyes and their mixtures under supercritical CO2 medium
Authors: Elsisi Hanan , Abouelenin Shahinaz , Elmaaty Tarek Abou , Negm Elham 
Published: November 2024

AbstractDyeing natural fabrics using supercritical carbon dioxide is challenging, especially without essential color hues. This work demonstrated that two newly developed reactive disperse dyes with distinct colors and shades were generated, one of which featured from the anthraquinone family and the other yellow, containing a pyrazole moiety. These new dyes and their combinations were used to dye cotton fabric using supercritical carbon dioxide and the highest K/S values were achieved at 8.73 for the mixture of (blue dye: yellow dye 80:20), however the lowest K/S was observed at 7.71 for (blue dye: yellow dye 20:80). The new dyes’ chemical compositions were identified using elemental and spectroscopic analyses. The effectiveness of these dyes and their mixtures for cotton dyeing was discussed. The dyed samples were tested for color fastness, and the results indicated that they had excellent color retention and were highly durable in washing. The increasing patterns in both dyeing rate and build-up curves show good compatibility. Furthermore, desirable shades of green can be achieved by mixing blue and yellow dyes at various ratios in supercritical CO2. The compatibility test involves calculating color difference index values for dyed cotton fabrics by utilizing various ratios of a binary mixture of dyes. Furthermore, the dyes under study and dyed samples displayed superior antibacterial properties against gram-positive and gram-negative bacteria compared to certain antibiotics used as a control. These results aligned with the quality and eco-friendly standards required by the industry without the use of water.
Enhanced performance and functionality in spintronic sensors
Authors: Leitao Diana C. , Riel Floris J. F. van , Rasly Mahmoud , Araujo Pedro D. R. , Salvador Maria , Paz Elvira , Koopmans Bert 
Published: November 2024

AbstractSpintronic sensors are uniquely positioned to deliver the next generation of high-performance magnetic field measurement tools with re-configurable key features. In this perspective article, we focus on giant and tunnel magnetoresistance sensors that exploit changes in the electrical resistance of thin films in response to an external magnetic field. We discuss strategies to address ongoing open challenges to improve operation limits. The goal is to meet current technological needs and thus expand the scope of existing applications. We also propose innovative approaches to design sensors with adaptable characteristics and embedded multifunctionality, aiming to create opportunities for future magnetic sensing applications. These solutions leverage the versatility of spintronic sensors, from the thin-film multilayers that form their building blocks, to device fabrication methods and potential integration with other technologies. The outlook of novel applications spans multiple areas, including electric vehicles, robotics, remote detection, or biomedicine.
Connecting physics to systems with modular spin-circuits
Authors: Selcuk Kemal , Bunaiyan Saleh , Singh Nihal Sanjay , Sayed Shehrin , Ganguly Samiran , Finocchio Giovanni , Datta Supriyo , Camsari Kerem Y. 
Published: November 2024

AbstractAn emerging paradigm in modern electronics is that of CMOS+ $${\mathsf{X}}$$
X
requiring the integration of standard CMOS technology with novel materials and technologies denoted by $${\mathsf{X}}$$
X
. In this context, a crucial challenge is to develop accurate circuit models for $${\mathsf{X}}$$
X
that are compatible with standard models for CMOS-based circuits and systems. In this perspective, we present physics-based, experimentally benchmarked modular circuit models that can be used to evaluate a class of CMOS+ $${\mathsf{X}}$$
X
systems, where $${\mathsf{X}}$$
X
denotes magnetic and spintronic materials and phenomena. This class of materials is particularly challenging because they go beyond conventional charge-based phenomena and involve the spin degree of freedom which involves non-trivial quantum effects. Starting from density matrices—the central quantity in quantum transport—using well-defined approximations, it is possible to obtain spin-circuits that generalize ordinary circuit theory to 4-component currents and voltages (1 for charge and 3 for spin). With step-by-step examples that progressively become more complex, we illustrate how the spin-circuit approach can be used to start from the physics of magnetism and spintronics to enable accurate system-level evaluations. We believe the core approach can be extended to include other quantum degrees of freedom like valley and pseudospins starting from corresponding density matrices.
Efficient Synthesis of Benzoselenazoles and Benzothiazoles by an Ullmann Coupling of Dihalobenzenes with Acyl Iso(seleno/thio) cyanate–Malononitrile Adducts
Authors: Nematpour Manijeh 
Published: November 2024

AbstractWe describe a simple and efficient method for the synthesis of various benzoselenazoles and benzothiazoles by the Ullman coupling reaction of dihalobenzenes with acyl iso(seleno/thio)cyanate–malononitrile adducts in the presence of a copper catalyst with K2CO3 as a base at room temperature, without the help of additional ligands. Notable features of this protocol include the use of mild copper-catalyzed reaction conditions, simple and readily available raw materials, easy purification with the help of a solvent, and the synthesis of 17 new benzoselenazole and benzothiazole compounds.
Correlations and signaling in the Schrödinger–Newton model
Authors: Aleksander Gruca Jacek , Kumar Ankit , Ganardi Ray , Arumugam Paramasivan , Kropielnicka Karolina , Paterek Tomasz 
Published: November 2024

Abstract
The Schrödinger–Newton (SN) model is a semi-classical theory in which, in addition to mutual attraction, massive quantum particles interact with their own gravitational fields. While there are many studies on the phenomenology of single particles, correlation dynamics in multipartite systems is largely unexplored. Here, we show that the SN interactions preserve the product form of the initial state of a many-body system, yet on average agreeing with classical mechanics of continuous mass distributions. This leads to a simple test of the model, based on verifying bipartite gravitational evolution towards non-product states. We show using standard quantum mechanics that, with currently accessible single-particle parameters, two masses released from harmonic traps get correlated well before any observable entanglement is accumulated. Therefore, the SN model can be tested with setups aimed at observation of gravitational entanglement with significantly relaxed requirements on coherence time. We also present a mixed-state extension of the model that avoids superluminal signaling.
Charged Nariai black holes on the dark bubble
Authors: Danielsson Ulf , Van Hemelryck Vincent 
Published: November 2024

Abstract
In this paper, we realise the charged Nariai black hole on a braneworld from a nucleated bubble in AdS5, known as the dark bubble model. Geometrically, the black hole takes the form of a cylindrical spacetime pulling on the dark bubble. This is realised by a brane embedding in an AdS5 black string background. Identifying the brane with a D3-brane in string theory allows us to determine a relation between the fine structure constant and the string coupling,

α
EM

=

3
2

g
s

, which was previously obtained for a microscopic black hole. We also speculate on the consequences for the Festina Lente bound and neutrino masses.