bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reciprocity and sensitivity kernels for sea level fingerprints
Authors: Al-Attar D , Syvret F , Crawford O , Mitrovica J X , Lloyd A J 
Published: November 2023

SUMMARYReciprocity theorems are established for the elastic sea level fingerprint problem including rotational feedbacks. In their simplest form, these results show that the sea level change at a location x due to melting a unit point mass of ice at x′ is equal to the sea level change at x′ due to melting a unit point mass of ice at x. This identity holds irrespective of the shoreline geometry or of lateral variations in elastic Earth structure. Using the reciprocity theorems, sensitivity kernels for sea level and related observables with respect to the ice load can be readily derived. It is notable that calculation of the sensitivity kernels is possible using standard fingerprint codes, though for some types of observable a slight generalization to the fingerprint problem must be considered. These results are of use within coastal hazard assessment and have a range of applications within studies of modern-day sea level change. To illustrate the latter point, we use sensitivity kernels to investigate two widely used methods for estimating, respectively, ice sheet mass loss from satellite gravity, and rates of global mean sea level rise from satellite altimetry. Though our analysis is idealized in some respects, we identify systematic errors of order 5 per cent due to the use of simplified sea level physics. Crucially, calculation of the relevant sensitivity kernels provides not only a means for understanding sources of bias in existing methods, but will aid in the design of new and improved data-assimilation techniques.
Transdimensional ambient-noise surface wave tomography of the Reykjanes Peninsula, SW Iceland
Authors: Rahimi Dalkhani Amin , Ágústsdóttir Thorbjörg , Gudnason Egill Árni , Hersir Gylfi Páll , Zhang Xin , Weemstra Cornelis 
Published: November 2023

SUMMARY
Ambient noise seismic tomography has proven to be an effective tool for subsurface imaging, particularly in volcanic regions such as the Reykjanes Peninsula (RP), SW Iceland, where ambient seismic noise is ideal with isotropic illumination. The primary purpose of this study is to obtain a reliable shear wave velocity model of the RP, to get a better understanding of the subsurface structure of the RP and how it relates to other geoscientific results. This is the first tomographic model of the RP which is based on both on- and off-shore seismic stations. We use the ambient seismic noise data and apply a novel algorithm called one-step 3-D transdimensional tomography. The main geological structures in the study area (i.e. covered by seismic stations) are the four NE–SW trending volcanic systems, orientated highly oblique to the plate spreading on the RP. These are from west to east; Reykjanes, Eldvörp-Svartsengi, Fagradalsfjall and Krýsuvík, of which all except Fagradalsfjall host a known high-temperature geothermal field. Using surface waves retrieved from ambient noise recordings, we recovered a 3-D model of shear wave velocity. We observe low-velocity anomalies below these known high-temperature fields. The observed low-velocity anomalies below Reykjanes and Eldvörp-Svartsengi are significant but relatively small. The low-velocity anomaly observed below Krýsuvík is both larger and stronger, oriented near-perpendicular to the volcanic system, and coinciding well with a previously found low-resistivity anomaly. A low-velocity anomaly in the depth range of 5–8 km extends horizontally along the whole RP, but below the high-temperature fields, the onset of the velocity decrease is shallower, at around 3 km depth. This is in good agreement with the brittle–ductile transition zone on the RP. In considerably greater detail, our results confirm previous tomographic models obtained in the area. This study demonstrates the potential of the entirely data-driven, one-step 3-D transdimensional ambient noise tomography as a routine tomography tool and a complementary seismological tool for geothermal exploration, providing an enhanced understanding of the upper crustal structure of the RP.
Deep ensemble geophysics-informed neural networks for the prediction of celestial pole offsets
Authors: Kiani Shahvandi Mostafa , Belda Santiago , Karbon Maria , Mishra Siddhartha , Soja Benedikt 
Published: November 2023

SUMMARYCelestial Pole Offsets (CPO), denoted by dX and dY, describe the differences in the observed position of the pole in the celestial frame with respect to a certain precession-nutation model. Precession and nutation components are part of the transformation matrix between terrestrial and celestial systems. Therefore, various applications in geodetic science such as high-precision spacecraft navigation require information regrading precession and nutation. For this purpose, CPO can be added to the precession-nutation model to precisely describe the motion of the celestial pole. However, as Very Long Baseline Interferometry (VLBI)—currently the only technique providing CPO—requires long data processing times resulting in several weeks of latency, predictions of CPO become necessary. Here we present a new methodology named Deep Ensemble Geophysics-Informed Neural Networks (DEGINNs) to provide accurate CPO predictions. The methodology has three main elements: (1) deep ensemble learning to provide the prediction uncertainty; (2) broad-band Liouville equation as a geophysical constraint connecting the rotational dynamics of CPO to the atmospheric and oceanic Effective Angular Momentum (EAM) functions and (3) coupled oscillatory recurrent neural networks to model the sequential characteristics of CPO time-series, also capable of handling irregularly sampled time-series. To test the methodology, we use the newest version of the final CPO time-series of International Earth Rotation and Reference Systems Service (IERS), namely IERS 20 C04. We focus on a forecasting horizon of 90 days, the practical forecasting horizon needed in space-geodetic applications. Furthermore, for validation purposes we generate an independent global VLBI solution for CPO since 1984 up to the end of 2022 and analyse the series. We draw the following conclusions. First, the prediction performance of DEGINNs demonstrates up to 25 and 33 percent improvement, respectively, for dX and dY, with respect to the rapid data provided by IERS. Secondly, predictions made with the help of EAM are more accurate compared to those without EAM, thus providing a clue to the role of atmosphere and ocean on the excitation of CPO. Finally, free core nutation period shows temporal variations with a dominant periodicity of around one year, partially excited by EAM.
Time-varying treatment effect modification of oral analgesic effectiveness by depressive symptoms in knee osteoarthritis: an application of structural nested mean models in a prospective cohort
Authors: Rathbun Alan M , Shardell Michelle D , Gallo Joseph J , Ryan Alice S , Stuart Elizabeth A , Schuler Megan S , Dong Yu , Beamer Brock , Mehta Rhea , Peer Jason E , Hochberg Marc C 
Published: November 2023

Abstract

Background
Depressive symptoms are common in knee osteoarthritis (OA), exacerbate knee pain severity and may influence outcomes of oral analgesic treatments. The aim was to assess whether oral analgesic effectiveness in knee OA varies by fluctuations in depressive symptoms.

Methods
The sample included Osteoarthritis Initiative (OAI) participants not treated with oral analgesics at enrolment (n = 1477), with radiographic disease at the first follow-up visit (defined as the index date). Oral analgesic treatment and depressive symptoms, assessed with the Center for Epidemiological Studies Depression [(CES-D) score ≥16] Scale, were measured over three annual visits. Knee pain severity was measured at visits adjacent to treatment and modifier using the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) pain subscale (rescaled range = 0–100). Structural nested mean models (SNMMs) estimated causal mean differences in knee pain severity comparing treatment versus no treatment.

Results
The average causal effects of treated versus not treated for observations without depressive symptoms showed negligible differences in knee pain severity. However, causal mean differences in knee pain severity comparing treatment versus no treatment among observations with depressive symptoms increased over time from −0.10 [95% confidence interval (CI): −9.94, 9.74] to −16.67 (95% CI: −26.33, −7.01). Accordingly, the difference in average causal effects regarding oral analgesic treatment for knee pain severity between person-time with and without depressive symptoms was largest (−16.53; 95% CI: −26.75, −6.31) at the last time point. Cumulative treatment for 2 or 3 years did not yield larger causal mean differences.

Conclusions
Knee OA patients with persistent depressive symptoms and chronic pain may derive more analgesic treatment benefit than those without depressive symptoms and less pain.
Student-Designed Simulation: Teaching Global Governance in Practice through a Student-Led Role-Play for Practitioners
Authors: Maertens Lucile , Cheli Zoé 
Published: November 2023

Abstract
Building on the growing interest in role-play in international relations pedagogy, this article suggests student-designed simulation as an active learning exercise defined to help students get a nuanced understanding of the way global governance works in practice. Based on a teaching experience for graduate students at the University of Lausanne (Switzerland), this article makes two contributions. First, it proposes a concrete roadmap for those who would like to supervise students in creating a simulation for and with practitioners. Second, it shows the benefits of student-designed simulation in terms of learning outcomes for students and participants involved in the role-play. It highlights how the conceptualization of a detailed scenario, on the one hand, leads students to uncover the daily practices through which global problems are (tentatively) governed within international organizations. The implementation, on the other hand, fosters dialogue between aid workers specialized in emergency situations and actors working in the field of (sustainable) development who are invited to swap roles during a two-hour student-led simulation. By promoting this reversed type of simulation, the article intends to further expand the active learning toolbox while proposing a pedagogical activity that builds a bridge between academics and students of international studies and practitioners.
Physiological and genomic characterization of Lactiplantibacillus plantarum isolated from Indri indri in Madagascar
Authors: Qiao Nanzhen , Gaur Gautam , Modesto Monica , Chinnici Fabio , Scarafile Donatella , Borruso Luigimaria , Marin Antonio Castro , Spiezio Caterina , Valente Daria , Sandri Camillo , Gänzle Michael G , Mattarelli Paola 
Published: November 2023

Abstract

Aims
Indri indri is a lemur of Madagascar which is critically endangered. The analysis of the microbial ecology of the intestine offers tools to improve conservation efforts. This study aimed to achieve a functional genomic analysis of three Lactiplantibacillus plantarum isolates from indris.

Methods and results
Samples were obtained from 18 indri; 3 isolates of Lp. plantarum were obtained from two individuals. The three isolates were closely related to each other, with &lt;10 single nucleotide polymorphisms, suggesting that the two individuals shared diet-associated microbes. The genomes of the three isolates were compared to 96 reference strains of Lp. plantarum. The three isolates of Lp. plantarum were not phenotypically resistant to antibiotics but shared all 17 genes related to antimicrobial resistance that are part of the core genome of Lp. plantarum. The genomes of the three indri isolates of Lp. plantarum also encoded for the 6 core genome genes coding for enzymes related to metabolism of hydroxybenzoic and hydroxycinnamic acids. The phenotype for metabolism of hydroxycinnamic acids by indri isolates of Lp. plantarum matched the genotype.

Conclusions
Multiple antimicrobial resistance genes and gene coding for metabolism of phenolic compounds were identified in the genomes of the indri isolates, suggesting that Lp. plantarum maintains antimicrobial resistance in defense of antimicrobial plant secondary pathogens and that their metabolism by intestinal bacteria aids digestion of plant material by primate hosts.
Multi-faceted analysis and prediction for the outbreak of pediatric respiratory syncytial virus
Authors: Yang Chaoqi , Gao Junyi , Glass Lucas , Cross Adam , Sun Jimeng 
Published: November 2023

Abstract

Objectives
Respiratory syncytial virus (RSV) is a significant cause of pediatric hospitalizations. This article aims to utilize multisource data and leverage the tensor methods to uncover distinct RSV geographic clusters and develop an accurate RSV prediction model for future seasons.

Materials and Methods
This study utilizes 5-year RSV data from sources, including medical claims, CDC surveillance data, and Google search trends. We conduct spatiotemporal tensor analysis and prediction for pediatric RSV in the United States by designing (i) a nonnegative tensor factorization model for pediatric RSV diseases and location clustering; (ii) and a recurrent neural network tensor regression model for county-level trend prediction using the disease and location features.

Results
We identify a clustering hierarchy of pediatric diseases: Three common geographic clusters of RSV outbreaks were identified from independent sources, showing an annual RSV trend shifting across different US regions, from the South and Southeast regions to the Central and Northeast regions and then to the West and Northwest regions, while precipitation and temperature were found as correlative factors with the coefficient of determination R2≈0.5, respectively. Our regression model accurately predicted the 2022-2023 RSV season at the county level, achieving R2≈0.3 mean absolute error MAE &lt; 0.4 and a Pearson correlation greater than 0.75, which significantly outperforms the baselines with P-values &lt;.05.

Conclusion
Our proposed framework provides a thorough analysis of RSV disease in the United States, which enables healthcare providers to better prepare for potential outbreaks, anticipate increased demand for services and supplies, and save more lives with timely interventions.
Dietary 25-hydroxy-cholecalciferol and additional vitamin E improve bone development and antioxidant capacity in high-density stocking broilers
Authors: Xiao Chuanpi , Zhu Qijiang , Comer Luke , Pan Xue , Everaert Nadia , Schroyen Martine , Song Bochen , Song Zhigang 
Published: November 2023

Abstract
This study aimed to investigate the effects of diets supplemented with 25-hydroxycholecalciferol [25-(OH)D3] and additional vitamin E on growth performance, antioxidant capacity, bone development, and carcass characteristics at different stocking densities on commercial broiler farms. A total of 118,800 one-day-old Arbor Acres broilers were assigned to a 2 × 2 factorial treatment consisting of two dietary vitamin levels (5,500 IU vitamin D3 and 60 IU vitamin E: normal diet, using half 25-(OH)D3 as a source of vitamin D3 and an additional 60 IU of vitamin E: 25-(OH)D3+VE diet) and two stocking densities (high density of 20 chickens/m2: HD and 16 chickens/m2: LD). The experiment lasted for 42 d. The results showed that high-density stocking negatively affected the growth performance of broilers during the first four weeks, whereas the vitamin diet treatment significantly improved the feed conversion ratios (FCR) during the last 2 wk. Vitamin diets increased catalase at 14 and 42 d, and the glutathione peroxidase (GSH-px) levels at 42 d in high-density-stocked broilers. The interaction showed that serum vitamin E levels were significantly improved at 28 d of age in high-density-stocked broilers as a result of the vitamin diets. Stocking density and dietary treatments were found to significantly affect bone development, with the vitamin diet significantly increasing metatarsal length and femoral bone strength in broilers from high-density stocking density at 28 d of age. High stocking density increased the proportion of leg muscles and meat yield per square meter. In general, 25-(OH)D3 and additional vitamin E suppressed oxidative stress and ameliorated the negative effects of high-density stocking on bone development in a commercial chicken farm setting. Vitamin diets improved the FCR of broilers, while high-density stocking resulted in better economic outcomes.
Variable selection for individualised treatment rules with discrete outcomes
Authors: Bian Zeyu , Moodie Erica E M , Shortreed Susan M , Lambert Sylvie D , Bhatnagar Sahir 
Published: November 2023

AbstractAn individualised treatment rule (ITR) is a decision rule that aims to improve individuals’ health outcomes by recommending treatments according to subject-specific information. In observational studies, collected data may contain many variables that are irrelevant to treatment decisions. Including all variables in an ITR could yield low efficiency and a complicated treatment rule that is difficult to implement. Thus, selecting variables to improve the treatment rule is crucial. We propose a doubly robust variable selection method for ITRs, and show that it compares favourably with competing approaches. We illustrate the proposed method on data from an adaptive, web-based stress management tool.
Insufflation via a peritoneal dialysis catheter is a safe way to achieve pneumoperitoneum: a case report
Authors: Jain Neil , Hernandez Evan , Wu Amy 
Published: November 2023

Abstract
A 66-year-old female with a preoperative high index hostile abdomen was incidentally found to have a right T1a 16 mm renal cell carcinoma mass. She safely underwent robot assisted partial nephrectomy after her peritoneal dialysis catheter was alternatively used for insufflation. This adjustment in technique reduced risk related morbidity and possible conversion to open laparotomy.
Boosting Triticeae crop grain yield by manipulating molecular modules to regulate inflorescence architecture: insights and knowledge from other cereal crops
Authors: Zhang Yueya , Shen Chaoqun , Shi Jin , Shi Jianxin , Zhang Dabing 
Published: November 2023

Abstract
One of the challenges for global food security is to reliably and sustainably improve the grain yield of cereal crops. One solution is to modify the architecture of the grain-bearing inflorescence to optimize for grain number and size. Cereal inflorescences are complex structures, with determinacy, branching patterns, and spikelet/floret growth patterns that vary by species. Recent decades have witnessed rapid advancements in our understanding of the genetic regulation of inflorescence architecture in rice, maize, wheat, and barley. Here, we summarize current knowledge on key genetic factors underlying the different inflorescence morphologies of these crops and model plants (Arabidopsis and tomato), focusing particularly on the regulation of inflorescence meristem determinacy and spikelet meristem identity and determinacy. We also discuss strategies to identify and utilize these superior alleles to optimize inflorescence architecture and, ultimately, improve crop grain yield.
Sugt1 loss in skeletal muscle stem cells impairs muscle regeneration and causes premature muscle aging
Authors: He Zhiming , Chen Xiaona , Liu Gexin , Li Yuying , Yang Feng , Sun Hao , Wang Huating 
Published: November 2023

Abstract
Adult skeletal muscle stem cells (MuSCs) are essential for muscle homeostasis and regeneration. During aging, the number of MuSCs and their regenerative capacity gradually decline but the underlying mechanisms remain elusive. Here, we identify Sugt1 (suppressor of G2 allele of SKP1 homolog), which is a chaperone for kinetochore function during mitosis and is essential for muscle regeneration by regulating MuSC proliferation. Sugt1 expression level is low in quiescent MuSCs but highly induced when the cells become activated and expand as proliferating myoblasts. Inducible inactivation of Sugt1 in MuSCs causes impaired muscle regeneration upon acute injury by impairing MuSC proliferation. Furthermore, loss of Sugt1 leads to cell cycle arrest in the G2/M phase and cellular senescence. Moreover, long-term loss of Sugt1 in MuSCs results in precocious muscle aging by inhibiting MuSC cell proliferation and promoting cellular senescence. Mechanistically, we identify a cytosolic E3 ubiquitin-ligase, Trim21 as a protein interacting partner for Sugt1 in myoblast cells. We further demonstrate that Sugt1 promotes the ubiquitination of p21 via Trim21; and Sugt1 loss causes p21 accumulation to inhibit cell cycle progression and stimulates cellular senescence. Collectively, our findings uncover that Sugt1 is an essential regulator for MuSC regenerative function during muscle regeneration and aging.
Excess of high-z galaxies as a test for bumpy power spectrum of density perturbations
Authors: Tkachev M V , Pilipenko S V , Mikheeva E V , Lukash V N 
Published: November 2023

ABSTRACT
Modified matter power spectra with approximately Gaussian bump on sub-Mpc scales can be a result of a complex inflation. We consider five spectra with different Gaussian amplitudes A and locations k0 and run N-body simulations in a cube (5 Mpc h−1)3 at z &gt; 8 to reveal the halo mass functions and their evolution with redshift. We have found that the Sheth–Tormen formula provides a good approximation to a such kind of halo mass functions. In the considered models, the dark matter halo formation starts much more earlier than in Lambda cold dark matter (ΛCDM), which in turn can result in an earlier star formation and a nuclear activity in galaxies and can be detected and tested by, e.g. JWST. At z = 0, the halo mass functions are hardly distinguishable from the standard ΛCDM, therefore the models with the bumpy spectra can be identified in observations by their excess in number of bright sources at high redshift only.
Stored in the archives: Uncovering the CN/CO intensity ratio with ALMA in nearby U/LIRGs
Authors: Ledger B , Saito T , Iono D , Wilson C D 
Published: November 2023

ABSTRACT
We present an archival Atacama Large Millimeter/submillimeter Array (ALMA) study of the cyanide radical (CN) N = 1 − 0/carbon monoxide (CO) J = 1 − 0 intensity ratio in nearby (z &lt; 0.05) ultra-luminous and luminous infrared galaxies (U/LIRGs). We identify 16 U/LIRGs that have been observed in both CN and CO lines at ∼500 pc resolution based on 16 different ALMA projects. We measure the (CN bright)/CO and (CN bright)/(CN faint) intensity ratios at an ensemble of molecular clouds scales (CN bright = CN N = 1 − 0, J = 3/2 − 1/2; CN faint = CN N = 1 − 0, J = 1/2 − 1/2 hyperfine groupings). Our global measured (CN bright)/CO ratios range 0.02–0.15 in LIRGs and 0.08–0.17 in ULIRGs. We attribute the larger spread in LIRGs to the variety of galaxy environments included in our sample. Overall, we find that the (CN bright)/CO ratio is higher in nuclear regions, where the physical and excitation conditions favour increased CN emission relative to the disc regions. 10 out of 11 galaxies which contain well-documented active galactic nuclei show higher ratios in the nucleus compared with the disc. Finally, we measure the median resolved (CN bright)/(CN faint) ratio and use it to estimate the total integrated CN line optical depth in ULIRGs (τ ∼ 0.96) and LIRGs (τ ∼ 0.23). The optical depth difference is likely due to the higher molecular gas surface densities found in the more compact ULIRG systems.