bluuebunny/crossref_metadata_2025 huggingface dataset:
Dalit Ecologies
Authors: Sharma Mukul
Published: November 2024

Dalit Ecologies explores the ecological experiences, histories, and perspectives integrated within Dalit writing, art, and culture. Aligning with theories of environment justice and ecological struggles experienced by Black populations, the book delves into six major themes: caste, earth and earthly environment, labour, and mobility, casteization of technology and industry, climate justice, Dalit Bahujan Anthropocene, and eco-literary tradition. It looks at the relationship between caste and environment, Dalit autobiographies, folktales and novels, city, waste and discard, caste-based industry and occupation, technological injustice, weather, caste and climate change, and Black-Dalit ecologies. Expanding the boundaries of environmental studies, the book brings attention to individuals like Adwaita Mallabarman, Bama, Nek Chand and Deena-Bhadri on the one hand, and specific places and arenas like the rock garden, tannery, brick kiln, steel industry, and sanitation on the other.
Leaving Legacies
Authors: Rajani Shayan
Published: November 2024

Leaving Legacies is a fresh account of the individual in early modern South Asia. A gendered practice carried out by men, leaving legacies involved assembling three kinds of material traces: monuments, books, and sons. Men laid claim to individual distinction within an ethics of remembering worthy individuals by joining their traces with those of men past and reworking older legacies. Their legacies joined their present to the past and future, while also drawing women and non-elite men into a hierarchical order centered upon the individual during Mughal rule and after.
This book shows that a concern for the individual self was not an exclusively western phenomenon. Rather, the practice of leaving individual legacies was a crucial means for the production and reproduction of empire, family, and social order in South Asia.
India in the Interim
Authors: Ankit Rakesh
Published: November 2024

This book looks at the governmental interregnum from August 1947 to the start of the first general election in October 1951, and is a narrative of some of its intermediate moments in light of contemporary politics. It is a multi-track chronicle, which draws attention to its discrete, if not determining, impact on the following decade of consolidation. While it is also a map of the prime minister's words and actions, drawn as it is mainly from his papers, it is embedded in the government. It describes a time of transitional governance in independent India's early political history and gives a glimpse of its multiple individual traits, identity tensions, and institutional trends. The Nehruvian gaze traced here shows what a constant flux governing in those unsettled post-partition years was.
Camille Bulcke
Authors: Bajpai Ravi Dutt , Parashar Swati
Published: November 2024

This is the first English biography of the Belgian Jesuit, Padma Bhushan recipient and renowned scholar of Hindi, Awadhi and Sanskrit: Father Camille Bulcke (1909–1982). Father Bulcke came to India when it was still a British colony, found spiritual inspiration in the life and compositions of the great Indian poet Goswami Tulsidas, and emerged as one of the renowned exponents of the Ramkatha (The Story of Rama) and the Hindi language. This book attempts to read and critically examine his life, while also analysing his writings on comparative religious studies. In doing so, it provides a brief overview of the world of Hindi literature and its development in postcolonial India through the contributions of Father Bulcke, and highlights the cultural and religious encounters between the West and the East, Europe and India, Christianity and Hinduism.
Toiling for Oil
Authors: Atabaki Touraj
Published: November 2024

Often referred to as the 'Oil Century,' the twentieth century marked the rise of petroleum as a pivotal force in global economics and politics. While many studies have explored the political relations between oil corporations and the Iranian state, this innovative book builds an intricate picture of the social history of petroleum in Iran, after its discovery there in 1908. Through expert interviews and on-the-ground reports, Touraj Atabaki shows the seismic impact of oil: from the building of roads to an influx of migrant labour. Offering insights into the lives and challenges of oil workers alongside analysis of wider geopolitical conflicts, Toiling for Oil traverses two world wars, industrialisation and modernisation, attempts at nationalisation in the 1950s and the political crises of the late 1970s. An essential read for anyone interested in Iran's unique position in the global economic landscape as oil continues to shape our world.
Assessing evidence-based training in a collaborative virtual reality flight simulator
Authors: Cross J.I. , Ryley T.
Published: November 2024

In recent times, there has been increased focus on the utilisation of virtual reality flight simulators in flight training, driven by their advantages compared to conventional methods. However, a paucity of empirical evidence has prevented their widespread introduction and regulatory approval. Existing research focuses on single-user simulators, leaving a gap in studies of collaborative training within virtual environments. Consequently, this paper investigates evidence-based simulator training within a collaborative virtual environment.

A mixed methods approach was adopted, where behaviours related to industry-standard competencies were observed in a virtual reality complex aircraft and thematic analysis applied to a post-experiment participant debrief. The findings showcase the feasibility of utilising a collaborative virtual environment for evidence-based training purposes in scenarios aligned to typical initial First Officer airline training programmes, which is a precursor to supplementing traditional professional pilot training techniques. In addition, the study found that the visual barriers imposed by head-mounted displays were overcome through the adoption of refined communication strategies, thus laying the groundwork for physically separated multi-crew pilot training.
Suppressing capillary instability in falling liquid threads
Authors: Gabbard Chase T. , Rhoads James T. , Bostwick Joshua B.
Published: November 2024

A cylindrical liquid thread readily destabilizes into a series of drops due to capillary instability, which is also responsible for undesirable bead-on-fibre structures observed when coating a thin fibre. In this experimental study, we show how a falling liquid thread can be stabilized by internally distorting the cross-sectional shape using two vertically hung fibres. Below a critical flow rate

$Q_c$

, the dual-fibre system deforms the falling thread into a smooth column with a non-circular cross-section, thereby suppressing instability. Above

$Q_{{c}}$

, the cylindrical thread is left undeformed by the fibres and destabilizes into beads connected by a stable, non-cylindrical film. An empirical stability threshold is identified showing that flow delays the onset of capillary instability when compared with a marginally stable quasi-static coating. When the flow is unstable

$Q>Q_c$

, the bead velocity

$v$

obeys a simple scaling law that is well supported by our experiments over a large parameter range. This suppression technique can be extended to other slender geometries, such as a ribbon, which shows similar qualitative results but exhibits a different stability threshold due to spontaneous dewetting about its short edge.
Linear stability and spectral modal decomposition of three-dimensional turbulent wake flow of a generic high-speed train
Authors: Li Xiao-Bai , Demange Simon , Chen Guang , Wang Jia-Bin , Liang Xi-Feng , Schmidt Oliver T. , Oberleithner Kilian
Published: November 2024

This work investigates the spatio-temporal evolution of coherent structures in the wake of a generic high-speed train, based on a three-dimensional database from large eddy simulation. Spectral proper orthogonal decomposition (SPOD) is used to extract energy spectra and energy ranked empirical modes for both symmetric and antisymmetric components of the fluctuating flow field. The spectrum of the symmetric component shows overall higher energy and more pronounced low-rank behaviour compared with the antisymmetric one. The most dominant symmetric mode features periodic vortex shedding in the near wake, and wave-like structures with constant streamwise wavenumber in the far wake. The mode bispectrum further reveals the dominant role of self-interaction of the symmetric component, leading to first harmonic and subharmonic triads of the fundamental frequency, with remarkable deformation of the mean field. Then, the stability of the three-dimensional wake flow is analysed based on two-dimensional local linear stability analysis combined with a non-parallelism approximation approach. Temporal stability analysis is first performed for both the near-wake and the far-wake regions, showing a more unstable condition in the near-wake region. The absolute frequency of the near-wake eigenmode is determined based on spatio-temporal analysis, then tracked along the streamwise direction to find out the global mode growth rate and frequency, which indicate a marginally stable global mode oscillating at a frequency very close to the most dominant SPOD mode. The global mode wavemaker is then located, and the structural sensitivity is calculated based on the direct and adjoint modes derived from a local spatial analysis, with the maximum value localized within the recirculation region close to the train tail. Finally, the global mode shape is computed by tracking the most spatially unstable eigenmode in the far wake, and the alignment with the SPOD mode is computed as a function of streamwise location. By combining data-driven and theoretical approaches, the mechanisms of coherent structures in complex wake flows are well identified and isolated.
Optimised stellarators with a positive radial electric field
Authors: Helander P. , Goodman A.G. , Beidler C.D. , Kuczynski M.D. , Smith H.M.
Published: November 2024

We draw attention to an interesting possibility in the design and operation of stellarator fusion reactors, which has hitherto been considered unrealistic under burning-plasma conditions. Thanks to recent advances in stellarator optimisation theory, it appears possible to create a positive (outward-pointing) radial electric field in the plasma core by carefully tailoring the geometry of the magnetic field. This electric field is likely to expel highly charged impurities from the centre of the plasma through neoclassical transport and thus eliminate, or at least mitigate, a long-standing problem in stellarator physics. Further out, the electric field is expected to suddenly change sign from positive to negative, thus creating a region of strongly sheared flow, which could locally suppress turbulent transport and enhance overall energy confinement.
Correlating clinical course with baseline subcortical shape in provisional tic disorder
Authors: Che Tiffanie , Kim Soyoung , Greene Deanna J. , Heywood Ashley , Ding Jimin , Hershey Tamara , Schlaggar Bradley L. , Black Kevin J. , Wang Lei
Published: November 2024

Objective

This study examined children at the onset of tic disorder (tics for less than 9 months: NT group), a population on which little research exists. Here, we investigate relationships between the baseline shape and volume of subcortical nuclei, diagnosis, and tic symptom outcomes.

Methods

187 children were assessed at baseline and a 12-month follow-up: 88 with NT, 60 tic-free healthy controls (HC), and 39 with chronic tic disorder/Tourette syndrome (TS), using T1-weighted MRI and total tic scores (TTS) from the Yale Global Tic Severity Scale to evaluate symptom change. Subcortical surface maps were generated using FreeSurfer-initialized large deformation diffeomorphic metric mapping. Linear regression models correlated baseline structural shapes with follow-up TTS while accounting for covariates, with relationships mapped onto structure surfaces.

Results

We found that the NT group had a larger right hippocampus compared to HC. Surface maps illustrate distinct patterns of inward deformation in the putamen and outward deformation in the thalamus for NT compared to controls. We also found patterns of outward deformation in almost all studied structures when comparing the TS group to controls. The NT group also showed consistent outward deformation compared to TS in the caudate, accumbens, putamen, and thalamus. Subsequent analyses including clinical symptoms revealed that a larger pallidum and thalamus at baseline correlated with less improvement of tic symptoms at follow-up.

Conclusion

These observations constitute some of the first prognostic biomarkers for tic disorders and suggest that these subregional shape and volume differences may be associated with the outcome of tic disorders.
The globalization of academic freedom
Authors: Börzel Tanja A. , Spannagel Janika
Published: November 2024

Liberal democracies and illiberal regimes alike recognize academic freedom as a norm that enables scientific progress. This article investigates the extent to which the globalization of academic freedom has been the result of a global diffusion process in addition to national developments, such as modernization and democratization. Academic freedom spread as part of a wider liberal script after World War II. The empirical analysis shows, however, that the codification of academic freedom at the international and regional level has been slower compared with other parts of the liberal script. To the extent that academic freedom has emerged as a global norm, it has happened through decentralized diffusion processes driven by higher education institutions and civil society networks. Different views on meaning, scope and emphasis made international and regional institutions norm takers rather than norm shapers. They only started to systematically institutionalize academic freedom into the liberal script when networks of scholars and higher education institutions mobilized internationally amidst increasing contestations of their academic freedom since the turn of the millennium.
Can back exosuits simultaneously increase lifting endurance and reduce musculoskeletal disorder risk?
Authors: Rodzak K.M. , Slaughter P.R. , Wolf D.N. , Ice C.C. , Fine S.J. , Zelik K.E.
Published: November 2024

The objectives of this case series study were to test whether an elastic back exosuit could increase a wearer’s endurance when lifting heavy objects and to assess whether lifting more cancels out the exosuit’s risk reduction benefits. We found that 88% of participants increased their lifting repetitions while wearing an exosuit, with endurance increases ranging from 28 to 75%. We then used these empirical data with an ergonomic assessment model based on fatigue failure principles to estimate the effects on cumulative back damage (an indicator of low back disorder risk) when an exosuit is worn and more lifts are performed. Participants exhibited 27–93% lower cumulative back damage when wearing an exosuit. These results confirmed that wearing an exosuit increased participants’ lifting capacity without canceling out injury risk reduction benefits. Back exosuits may make it possible to simultaneously boost productivity and reduce musculoskeletal disorder risks, which is relevant to workers in civilian and defense sectors.
Magma Chamber Response to Ice Unloading: Applications to Volcanism in the West Antarctic Rift System
Authors: Coonin A. N. , Huber C. , Troch J. , Townsend M. , Scholz K. , Singer B. S.
Published: November 2024

Volcanic activity has been shown to affect Earth's climate in a myriad of ways. One such example is that eruptions proximate to surface ice will promote ice melting. In turn, the crustal unloading associated with melting an ice sheet affects the internal dynamics of the underlying magma plumbing system. Geochronologic data from the Andes over the last two glacial cycles suggest that glaciation and volcanism may interact via a positive feedback loop. At present, accurate sea‐level predictions hinge on our ability to forecast the stability of the West Antarctic Ice Sheet, and thus require consideration of two‐way subglacial volcano‐deglaciation processes. The West Antarctic Ice Sheet is particularly vulnerable to collapse, yet its position atop an active volcanic rift is seldom considered. Ice unloading deepens the zone of melting and alters the crustal stress field, impacting conditions for dike initiation, propagation, and arrest. However, the consequences for internal magma chamber dynamics and long‐term eruption behavior remain elusive. Given that unloading‐triggered volcanism in West Antarctica may contribute to the uncertainty of ice loss projections, we adapt a previously published thermomechanical magma chamber model and simulate a shrinking ice load through a prescribed lithostatic pressure decrease. We investigate the impacts of varying unloading scenarios on magma volatile partitioning and eruptive trajectory. Considering the removal of km‐thick ice sheets, we demonstrate that the rate of unloading influences the cumulative mass erupted and consequently the heat released into the ice. These findings provide fundamental insights into the complex volcano‐ice interactions in West Antarctica and other subglacial volcanic settings.
Diamond Experiment In the MagnetOSphere (DEIMOS): A Collisionless Shocks and Solar Wind Mission Concept for the Lunar Gateway
Authors: Shonibare T. , Murphy K. R. , Pakhotin I. P.
Published: November 2024

In the scientific field of collisionless shocks, interplanetary space comprises a critical natural laboratory allowing the study of processes at spatial scales which are impossible to recreate in laboratories on Earth. Despite decades of research, key questions in the dynamics of collisionless shocks including energy transport and exchange remain unresolved due to instrumental limitations. With the return of humanity to the Moon and the upcoming construction of the Lunar Platform: Gateway (LOP‐G) space station, the possibility arises to study the pristine solar wind in unprecedented detail, with the space station potentially enabling significant power capacity and data rates which would be challenging to achieve on smaller unmanned spacecraft. The space station's location in a lunar halo orbit allows the study of the solar wind away from the contaminating influence of the terrestrial bow shock. Here we propose to utilize nitrogen‐vacancy (NV) diamond technology to combine magnetometer, temperature and plasma density measurements into a single instrument which can sample kHz‐range magnetic field with sensitivities on the order of <1e−5 nT, while also sounding the local plasma density and temperature. These capabilities will generate datasets which will contribute significantly to shock science, helping answer key outstanding questions in the field. Simultaneously, these observations will improve understanding of space weather dynamics, contribute to cross‐calibrating complementary missions, and probe the lunar exosphere. With the paucity of long‐term, high‐cadence, high‐sensitivity pristine solar wind datasets, the Diamond Experiment In the MagnetOSphere (DEIMOS) will fill a key need for the solar wind and collisionless shocks community.
Super‐Intense Geomagnetic Storm on 10–11 May 2024: Possible Mechanisms and Impacts
Authors: Tulasi Ram S. , Veenadhari B. , Dimri A. P. , Bulusu J. , Bagiya M. , Gurubaran S. , Parihar N. , Remya B. , Seemala G. , Singh Rajesh , Sripathi S. , Singh S. V. , Vichare G.
Published: November 2024

One of the most intense geomagnetic storms of recent times occurred on 10–11 May 2024. With a peak negative excursion of Sym‐H below −500 nT, this storm is the second largest of the space era. Solar wind energy transferred through radiation and mass coupling affected the entire Geospace. Our study revealed that the dayside magnetopause was compressed below the geostationary orbit (6.6 RE) for continuously ∼6 hr due to strong Solar Wind Dynamic Pressure (SWDP). Tremendous compression pushed the bow‐shock also to below the geostationary orbit for a few minutes. Magnetohydrodynamic models suggest that the magnetopause location could be as low as 3.3RE. We show that a unique combination of high SWDP (≥15 nPa) with an intense eastward interplanetary electric field (IEFY ≥ 2.5 mV/m) within a super‐dense Interplanetary Coronal Mass Ejection lasted for 409 min–is the key factor that led to the strong ring current at much closer to the Earth causing such an intense storm. Severe electrodynamic disturbances led to a strong positive ionospheric storm with more than 100% increase in dayside ionospheric Total Electron Content (TEC), affecting GPS positioning/navigation. Further, an HF radio blackout was found to occur in the 2–12 MHz frequency band due to strong D‐ and E‐region ionization resulting from a solar flare prior to this storm.
Allocation and validation of the second revision of the International Staging System in the ICARIA-MM and IKEMA studies
Authors: Richardson Paul G. , Perrot Aurore , Mikhael Joseph , Martin Thomas , Beksac Meral , Spicka Ivan , Capra Marcelo , D’Agostino Mattia , Sonneveld Pieter , Bisht Kamlesh , Fukao Taro , Zhang Rick , Tada Keisuke , Tekle Christina , Macé Sandrine , Klippel Zandra , van de Velde Helgi , Moreau Philippe
Published: November 2024

The International Staging System for multiple myeloma recently underwent a second revision (R2-ISS) to include gain/amplification of 1q21 and account for the additive prognostic significance of multiple high-risk features. The phase 3 ICARIA-MM (isatuximab–pomalidomide–dexamethasone vs. pomalidomide–dexamethasone) and IKEMA (isatuximab–carfilzomib–dexamethasone vs. carfilzomib–dexamethasone) studies provide large datasets for retrospectively validating the prognostic value of the R2-ISS in relapsed/refractory multiple myeloma. Of 609 pooled patients, 68 (11.2%) were reclassified as R2-ISS stage I, 136 (22.3%) as R2-ISS stage II, 204 (33.5%) as R2-ISS stage III, 55 (9.0%) as stage IV, and 146 (24.0%) “Not classified”. Median progression-free survival was shorter among those reclassified as R2-ISS stage II (HR 1.52, 95% CI 0.979–2.358), stage III (HR 2.59, 95% CI 1.709–3.923), and stage IV (HR 3.51, 95% CI 2.124–5.784) versus stage I. Adding isatuximab led to longer progression-free survival versus doublet therapy (adjusted HR 0.544 [95% CI 0.436–0.680]), with a consistent treatment effect observed across all R2-ISS stages. This is the first study to validate the R2-ISS with novel agents, including anti-CD38 monoclonal antibodies, and to show that R2-ISS, as a prognostic scoring system, can be applied to patients with relapsed/refractory multiple myeloma.
Outcomes with loncastuximab tesirine following CAR T-cell therapy in patients with relapsed or refractory diffuse large B-cell lymphoma
Authors: Epperla Narendranath , Lucero Melanie , Bailey Tom , Mirams Laura , Cheung Jolenta , Amet Mona , Milligan Gary , Chen Lei
Published: November 2024

The efficacy of loncastuximab tesirine (lonca) following chimeric antigen receptor T-cell therapy (CAR-T) progression/failure is unknown. Hence, we sought to examine real-world use and outcomes of lonca following CAR-T in patients with relapsed or refractory (R/R) diffuse large B-cell lymphoma (DLBCL) in the USA. In this retrospective study, we included adults (age ≥ 18 years) with R/R DLBCL who received lonca monotherapy as third- (3 L) or fourth line (4 L) treatment after progressing on second line (2 L) or 3 L CAR-T, respectively. Post-CAR-T lonca outcomes included response rates (overall response rate [ORR] and complete response [CR] rate), duration of response (DOR), progression-free survival (PFS), and overall survival (OS). A total of 118 patients were included in the analysis with 95 receiving lonca following 2 L CAR-T (median age:66 years; 61% male) and 23 following 3 L CAR-T (median age:57 years; 43% male). Patients with 2 L CAR-T/3 L lonca had an ORR of 73% (CR rate of 34%). With a median follow-up of 8.5 months following lonca initiation, median DOR, PFS, and OS were not reached. The DOR, PFS, and OS at 12 months were 68%, 77%, and 84%, respectively. Patients with 3 L CAR-T/4 L lonca had an ORR of 78% (CR rate of 17%). With a median follow-up of 13 months following lonca initiation, the median DOR and PFS were 7.6 and 12.0 months, while median OS was not reached. OS at 12 months was 95%. In this study, we found that lonca monotherapy was an effective treatment option in R/R DLBCL in 3 L and 4 L settings including those who were resistant to or progressed after CAR-T.
Multi-population GWAS detects robust marker associations in a newly established six-rowed winter barley breeding program
Authors: Skovbjerg Cathrine Kiel , Sarup Pernille , Wahlström Ellen , Jensen Jens Due , Orabi Jihad , Olesen Lotte , Jensen Just , Jahoor Ahmed , Ramstein Guillaume
Published: November 2024

Genome-wide association study (GWAS) is a powerful tool for identifying marker-trait associations that can accelerate breeding progress. Yet, its power is typically constrained in newly established breeding programs where large phenotypic and genotypic datasets have not yet accumulated. Expanding the dataset by inclusion of data from well-established breeding programs with many years of phenotyping and genotyping can potentially address this problem. In this study we performed single- and multi-population GWAS on heading date and lodging in four barley breeding populations with varying combinations of row-type and growth habit. Focusing on a recently established 6-rowed winter (6RW) barley population, single-population GWAS hardly resulted in any significant associations. Nevertheless, the combination of the 6RW target population with other populations in multi-population GWAS detected four and five robust candidate quantitative trait loci for heading date and lodging, respectively. Of these, three remained undetected when analysing the combined populations individually. Further, multi-population GWAS detected markers capturing a larger proportion of genetic variance in 6RW. For multi-population GWAS, we compared the findings of a univariate model (MP1) with a multivariate model (MP2). While both models surpassed single-population GWAS in power, MP2 offered a significant advantage by having more realistic assumptions while pointing towards robust marker-trait associations across populations. Additionally, comparisons of GWAS findings for MP2 and single-population GWAS allowed identification of population-specific loci. In conclusion, our study presents a promising approach to kick-start genomics-based breeding in newly established breeding populations.
Enhanced light absorption for solid-state brown carbon from wildfires due to organic and water coatings
Authors: Cheng Zezhen , Shrivastava Manish , Ijaz Amna , Veghte Daniel , Vandergrift Gregory W. , Tseng Kuo-Pin , Lata Nurun Nahar , Kew Will , Suski Kaitlyn , Weis Johannes , Kulkarni Gourihar , Berg Larry K. , Fast Jerome D. , Kovarik Libor , Mazzoleni Lynn R. , Zelenyuk Alla , China Swarup
Published: November 2024

Wildfires emit solid-state strongly absorptive brown carbon (solid S-BrC, commonly known as tar ball), critical to Earth’s radiation budget and climate, but their highly variable light absorption properties are typically not accounted for in climate models. Here, we show that from a Pacific Northwest wildfire, over 90% of particles are solid S-BrC with a mean refractive index of 1.49 + 0.056i at 550 nm. Model sensitivity studies show refractive index variation can cause a ~200% difference in regional absorption aerosol optical depth. We show that ~50% of solid S-BrC particles from this sample uptake water above 97% relative humidity. We hypothesize these results from a hygroscopic organic coating, potentially facilitating solid S-BrC as nuclei for cloud droplets. This water uptake doubles absorption at 550 nm and the organic coating on solid S-BrC can lead to even higher absorption enhancements than water. Incorporating solid S-BrC and water interactions should improve Earth’s radiation budget predictions.
Structure, short-range order, and phase stability of the AlxCrFeCoNi high-entropy alloy: insights from a perturbative, DFT-based analysis
Authors: Woodgate Christopher D. , Marchant George A. , Pártay Livia B. , Staunton Julie B.
Published: November 2024

We study the phase behaviour of the AlxCrFeCoNi high-entropy alloy. Our approach is based on a perturbative analysis of the internal energy of the paramagnetic solid solution as evaluated within the Korringa-Kohn-Rostoker formulation of density functional theory, using the coherent potential approximation to average over disorder. Via application of a Landau-type linear response theory, we infer preferential chemical orderings directly. In addition, we recover a pairwise form of the alloy internal energy suitable for study via atomistic simulations, which in this work are performed using the nested sampling algorithm, which is well-suited for studying complex potential energy surfaces. When the underlying lattice is fcc, at low concentrations of Al, depending on the value of x, we predict either an L12 or D022 ordering emerging below approximately 1000 K. On the other hand, when the underlying lattice is bcc, consistent with experimental observations, we predict B2 ordering temperatures higher than the melting temperature of the alloy, confirming that this ordered phase forms directly from the melt. For both fcc and bcc systems, chemical orderings are dominated by Al moving to one sublattice, Ni and Co the other, while Cr and Fe remain comparatively disordered. On the bcc lattice, our atomistic modelling suggests eventual decomposition into B2 NiAl and Cr-rich phases. These results shed light on the fundamental physical origins of atomic ordering tendencies in these intriguing materials.
Bayesian assessment of commonly used equivalent circuit models for corrosion analysis in electrochemical impedance spectroscopy
Authors: Zhang Runze , Sur Debashish , Li Kangming , Witt Julia , Black Robert , Whittingham Alexander , Scully John R. , Hattrick-Simpers Jason
Published: November 2024

Electrochemical Impedance Spectroscopy (EIS) is a crucial technique for assessing corrosion of metallic materials. The analysis of EIS hinges on the selection of an appropriate equivalent circuit model (ECM) that accurately characterizes the system under study. In this work, we systematically examined the applicability of three commonly used ECMs across several typical material degradation scenarios. By applying Bayesian Inference to simulated corrosion EIS data, we assessed the suitability of these ECMs under different corrosion conditions and identified regions where the EIS data lacks sufficient information to statistically substantiate the ECM structure. Additionally, we posit that the traditional approach to EIS analysis, which often requires measurements to very low frequencies, might not be always necessary to correctly model the appropriate ECM. Our study assesses the impact of omitting data from low to medium-frequency ranges on inference results and reveals that a significant portion of low-frequency measurements can be excluded without substantially compromising the accuracy of extracting system parameters. Further, we propose simple checks to the posterior distributions of the ECM components and posterior predictions, which can be used to quantitatively evaluate the suitability of a particular ECM and the minimum frequency required to be measured. This framework points to a pathway for expediting EIS acquisition by intelligently reducing low-frequency data collection and permitting on-the-fly EIS measurements.
Cast vote records: A database of ballots from the 2020 U.S. Election
Authors: Kuriwaki Shiro , Reece Mason , Baltz Samuel , Conevska Aleksandra , Loffredo Joseph R. , Mutlu Can , Samarth Taran , Acevedo Jetter Kevin E. , Djanogly Garai Zachary , Murray Kate , Hirano Shigeo , Lewis Jeffrey B. , Snyder James M. , Stewart Charles
Published: November 2024

Ballots are the core records of elections. Electronic records of actual ballots cast (cast vote records) are available to the public in some jurisdictions. However, they have been released in a variety of formats and have not been independently evaluated. Here we introduce a database of cast vote records from the 2020 U.S. general election. We downloaded publicly available unstandardized cast vote records, standardized them into a multi-state database, and extensively compared their totals to certified election results. Our release includes vote records for President, Governor, U.S. Senate and House, and state upper and lower chambers, covering 42.7 million voters in 20 states who voted for more than 2,200 candidates. This database serves as a uniquely granular administrative dataset for studying voting behavior and election administration. Using this data, we show that in battleground states, 1.9 percent of solid Republicans (as defined by their congressional and state legislative voting) in our database split their ticket for Joe Biden, while 1.2 percent of solid Democrats split their ticket for Donald Trump.
mdCATH: A Large-Scale MD Dataset for Data-Driven Computational Biophysics
Authors: Mirarchi Antonio , Giorgino Toni , De Fabritiis Gianni
Published: November 2024

Recent advancements in protein structure determination are revolutionizing our understanding of proteins. Still, a significant gap remains in the availability of comprehensive datasets that focus on the dynamics of proteins, which are crucial for understanding protein function, folding, and interactions. To address this critical gap, we introduce mdCATH, a dataset generated through an extensive set of all-atom molecular dynamics simulations of a diverse and representative collection of protein domains. This dataset comprises all-atom systems for 5,398 domains, modeled with a state-of-the-art classical force field, and simulated in five replicates each at five temperatures from 320 K to 450 K. The mdCATH dataset records coordinates and forces every 1 ns, for over 62 ms of accumulated simulation time, effectively capturing the dynamics of the various classes of domains and providing a unique resource for proteome-wide statistical analyses of protein unfolding thermodynamics and kinetics. We outline the dataset structure and showcase its potential through four easily reproducible case studies, highlighting its capabilities in advancing protein science.
Towards construction of embankment on soft soil: a comparative study of lightweight materials and deep replacement techniques
Authors: Abdrabbo Fathi M. , Gaaver Khaled E. , Elwakil Amr Z. , Khalifa Shahinaz A.
Published: November 2024

Planning embankments demands comprehensive studies to select suitable materials, enhance soil stability, ensure optimal performance, and comply with building code requirements and sustainability standards. This study offers an evaluation of various alternatives and their effectiveness for constructing embankments on weak soil using the 2D finite element software Plaxis 8. It highlights the convergence of different techniques, offering flexibility in selecting the optimal strategy for projects. The behaviour of multilayer clayey soil under an embankment of lightweight filling materials such as mixed sawdust or geo-foam and that carrying an embankment of traditional fill material improved by deep replacement techniques like concrete piles (CP), deep-mixing columns (DMC), stone columns (SC), and sand piles (SP) were compared considering factors like stress distribution, pore water pressure, and settlement of the soil. The results demonstrate that lightweight materials reduced settlement by 11–98% and stress by 5–89%, while deep replacement techniques reduced settlement by 8.5–75% and stress by 44–88%. Notably, the study underscores the effectiveness of DMC in promoting soil reuse compared to CP.
Adjuvants to the S1-subunit of the SARS-CoV-2 spike protein vaccine improve antibody and T cell responses and surrogate neutralization in mice
Authors: Becker William , Rebbani Khadija , Duan Zhijian , Valkov Eugene , Bryant Shawn , Ho Mitchell , Berzofsky Jay A. , Olkhanud Purevdorj B.
Published: November 2024

Various public health measures have contained outbreaks of SARS-CoV-2, but concerns remain over the possibility of future surges. Improvements in broadening the vaccine response can stifle new and nascent infections. In this study, we tested the effects of different adjuvant combinations on the immunization of mice with the receptor-binding domain (RBD)-containing the S1-subunit of the spike protein (S1 protein) from SARS-CoV-2 to induce a robust humoral and cellular immune response. We showed that subcutaneous immunization of S1 protein co-delivered with IL-15 and TLR-ligands (MALP-2, poly I: C, and CpG) or with IL-12 and GM-CSF in DOTAP, or Alum induced significantly high titers of durable antibodies, predominantly IgG1, IgG2a, and IgG2b, that could bind to RBD, S1-subunit, and the full-length ectodomain of SARS-CoV-2 spike protein in sera compared to the immunization with S1 protein alone in both B6 wild-type (WT) and the K18-hACE2 transgenic mice. In addition, immunization with S1 protein co-delivered with IL-15 and TLR-ligands induced antibody responses against S1 protein in aged mice, and sera from younger mice reduced plaque formation of live SARS-CoV-2, and had effective binding to S1 protein from ten different variants of SARS-CoV-2, including Omicron (B.1.1.529), and greater neutralization activity as early as day 21 post-immunization measured by inhibition of RBD binding to hACE2 than sera from mice immunized with S1 protein alone or co-delivered with Alum. We also identified antibody-binding epitopes using 18-mer peptides with 9-residue overlaps from the S1 protein. CD8+ T-cell responses specific to RBD and S1 protein peptide pools were observed up to day 200 post-immunization by tetramer staining. These data show the efficacy of specific immunologically targeted adjuvants for increasing S1 protein immunogenicity in mice and can contribute to more effective vaccines.
Precision parameter estimation in Proton Exchange Membrane Fuel Cells using depth information enhanced Differential Evolution
Authors: Jangir Pradeep , Ezugwu Absalom E. , Arpita  , Agrawal Sunilkumar P. , Pandya Sundaram B. , Parmar Anil , Gulothungan G. , Abualigah Laith
Published: November 2024

Proton Exchange Membrane Fuel Cell (PEMFC) models require parameter tuning for their design and performance improvement. In this study, Depth Information-Based Differential Evolution (Di-DE) algorithm, a novel and efficient metaheuristic approach, is applied to the complex, nonlinear optimization problem of PEMFC parameter estimation. The Di-DE algorithm was tested on twelve PEMFCs (BCS 500 W PEMFC, Nedstack 600 W PS6 PEMFC, SR-12 500 W PEMFC, H-12 PEMFC, STD 250 W PEMFC, HORIZON 500 W PEMFC and four 250W PEMFC and two H-12 12W PEMFC) and showed excellent accuracy. The Di-DE algorithm is was compared with other advanced evolutionary algorithms like iwPSO, CLPSO, DNLPSO, SLPSO, SaDE, SHADE, JADE, QUATRE, LSA, QUATRE-EMS and C-QUATRE, which obtained a minimum objective function value of 0.0255 and an average runtime improvement of 98.8%. The optimized parameters of the proposed method yielded the Sum of Squared Errors (SSE) as low as 0.00002 in some cases, which indicates better precision and stability. Moreover, the voltage–current (V–I) and power–voltage (P–V) characteristics predicted by Di-DE were within 1% error relative to the experimental data for all tested PEMFCs. The results of this work highlight the potential of the Di-DE algorithm to enable more sophisticated modelling and optimization of PEMFCs, which in turn will help to broaden the use of PEMFCs in clean energy applications.
Effects of foot–ground friction and age-related gait changes on falls during walking: a computational study using a neuromusculoskeletal model
Authors: Izumi Naoto , Yoshida Takashi , Nishi Toshiaki , Masani Kei , Yamaguchi Takeshi
Published: November 2024

We used a neuromusculoskeletal model of bipedal walking to examine the effects of foot–ground friction conditions and gait patterns on slip- and trip-induced falls. We developed three two-dimensional neuro-musculoskeletal models in a self-organized manner representing young adults, elderly non-fallers, and elderly fallers. We simulated walking under different foot-ground friction conditions. The static friction coefficient between the foot and the ground was varied from 0.05 to 2.0. Under low friction conditions, the three gait models demonstrated slip-induced falls. The elderly faller model experienced the most slip. This is because the RCOF was higher in the elderly faller model due to its short stride length but much smaller foot clearance. Under high friction conditions, only the elderly faller model demonstrated trip-induced falls. Based on the analysis using the margin of stability, the forward postural stability of the model gradually decreased under high-friction conditions, with the toe of the swing foot contacting the ground and subsequently falling forward. These results imply that there is an optimal coefficient of friction for the ground to prevent slip- and trip-induced falls by people with less stable gaits, which may provide new insights into the design of shoes and floor surfaces for the elderly.
Evolutionary genomics of Leishmania braziliensis across the neotropical realm
Authors: Heeren Senne , Sanders Mandy , Shaw Jeffrey Jon , Pinto Brandão-Filho Sinval , Côrtes Boité Mariana , Motta Cantanhêde Lilian , Chourabi Khaled , Maes Ilse , Llanos-Cuentas Alejandro , Arevalo Jorge , Marco Jorge D. , Lemey Philippe , Cotton James A. , Dujardin Jean-Claude , Cupolillo Elisa , Van den Broeck Frederik
Published: November 2024

The Neotropical realm, one of the most biodiverse regions on Earth, houses a broad range of zoonoses that pose serious public health threats. Protozoan parasites of the Leishmania (Viannia) braziliensis clade cause zoonotic leishmaniasis in Latin America with clinical symptoms ranging from simple cutaneous to destructive, disfiguring mucosal lesions. We present the first comprehensive genome-wide continental study including 257 cultivated isolates representing most of the geographical distribution of this major human pathogen. The L. braziliensis clade is genetically highly heterogeneous, consisting of divergent parasite groups that are associated with different environments and vary greatly in diversity. Apart from several small ecologically isolated groups with little diversity, our sampling identifies two major parasite groups, one associated with the Amazon and the other with the Atlantic Forest biomes. These groups show different recombination histories, as suggested by high levels of heterozygosity and effective population sizes in the Amazonian group in contrast to high levels of linkage and clonality in the Atlantic group. We argue that these differences are linked to strong eco-epidemiological differences between the two regions. In contrast to geographically focused studies, our study provides a broad understanding of the molecular epidemiology of zoonotic parasites circulating in tropical America.
Impurity flat band states in the diamond chain
Authors: Marques A. M. , Viedma D. , Ahufinger V. , Dias R. G.
Published: November 2024

Flat band (FB) systems, featuring dispersionless energy bands, have garnered significant interest due to their compact localized states (CLSs). However, a detailed account on how local impurities affect the physical properties of overlapping CLSs is still missing. Here we study a diamond chain with a finite magnetic flux per plaquette that exhibits a gapped midspectrum FB with non-orthogonal CLSs, and develop a framework for projecting operators onto such non-orthogonal bases. This framework is applied to the case of an open diamond chain with small local impurities in the midchain plaquette, and analytical expressions are derived for FB states influenced by these impurities. For equal impurities in top and bottom sites under diagonal disorder, we show how the impurity states experience an averaged disorder dependent on their spatial extension, leading to enhanced robustness against disorder. For a single impurity, an exotic topological phase with a half-integer winding number is discovered, which is linked to a single in-gap edge state under open boundary conditions. Numerical simulations validate the analytical predictions.
Deep learning for predicting rate-induced tipping
Authors: Huang Yu , Bathiany Sebastian , Ashwin Peter , Boers Niklas
Published: November 2024

Nonlinear dynamical systems exposed to changing forcing values can exhibit catastrophic transitions between distinct states. The phenomenon of critical slowing down can help anticipate such transitions if caused by a bifurcation and if the change in forcing is slow compared with the system’s internal timescale. However, in many real-world situations, these assumptions are not met and transitions can be triggered because the forcing exceeds a critical rate. For instance, the rapid pace of anthropogenic climate change compared with the internal timescales of key Earth system components, like polar ice sheets or the Atlantic Meridional Overturning Circulation, poses significant risk of rate-induced tipping. Moreover, random perturbations may cause some trajectories to cross an unstable boundary whereas others do not—even under the same forcing. Critical-slowing-down-based indicators generally cannot distinguish these cases of noise-induced tipping from no tipping. This severely limits our ability to assess the tipping risks and to predict individual trajectories. To address this, we make the first attempt to develop a deep learning framework predicting the transition probabilities of dynamical systems ahead of rate-induced transitions. Our method issues early warnings, as demonstrated on three prototypical systems for rate-induced tipping subjected to time-varying equilibrium drift and noise perturbations. Exploiting explainable artificial intelligence methods, our framework captures the fingerprints for the early detection of rate-induced tipping, even with long lead times. Our findings demonstrate the predictability of rate-induced and noise-induced tipping, advancing our ability to determine safe operating spaces for a broader class of dynamical systems than possible so far.
Development of a His-Tag-mediated pull-down and quantification assay for G-quadruplex containing DNA sequences
Authors: Cadoni Enrico , Moerman Hanne , Madder Annemieke
Published: November 2024

We developed a pull-down assay using His-Tag-containing PNAs equipped with a G-quadruplex (G4) ligand for selective recognition and quantification of a DNA target in a 96-well plate format, exploiting the DNAzyme properties of the G4–hemin complex.
Organic–inorganic complex S-scheme photocatalyst resorcinol–formaldehyde resins/Bi2O2CO3 with enhanced photocatalytic H2O2 production
Authors: Gao Meichao , Wang Jianting , Cui Huichao , Meng Mingyang , Feng Yuanyuan , Gong Yunyun , Sun Changlong
Published: November 2024

RF/Bi2O2CO3 organic–inorganic S-scheme heterojunctions are constructed through in situ polymerization, resulting in a significantly increased H2O2 production rate.
Promotion effect of Ag on syngas transformation to long-chain alcohols over CuFe catalysts
Authors: Qin Zhiwei , Li Yinwen , Wang Meng , Su Yanrui , Gao Wa , Ma Ding , Yang Lin
Published: November 2024

A series of Ag-promoted Fe5C2/Cu catalysts derived from a layered double hydroxide precursor with different Ag ratios were prepared, which exhibited remarkably enhanced catalytic performance in the conversion of syngas into long-chain alcohols.
Valence tautomerism, non-innocence, and emergent magnetic phenomena in lanthanide-organic tessellations
Authors: Dunstan Maja A. , Pedersen Kasper S.
Published: November 2024

We review the interplay between valence tautomerism, structural tessellations, and magnetic phenomena in lanthanide-based coordination networks, culminating in the discovery of a thermally activated valence tautomerism in a lanthanide-organic net.