bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of corn–soybean meal-based diets with low calcium and available phosphorus in male broilers on performance, tibia criteria and jejunum histomorphology
Authors: Olgun Osman , Cufadar Yusuf , Gül Esra Tuğçe , Ahmet Gökmen Seyit , Sevim Behlül 
Published: May 2024

AbstractThis study was conducted to determine the effect of reducing calcium (Ca) and available phosphorus (AvP) on performance, carcass yield, tibia traits and jejunum histomorphology in broilers. For this purpose, 480 one-day-old Ross 308 male chicks were distributed into four trial groups with eight subgroups. During the starter period, birds were fed with recommended or reduced Ca and AvP contents of 66.7 and 62.5 g/kg, respectively. Calcium and AvP contents of the groups were as follows: control: 8.70 g/kg Ca, 4.40 g/kg AvP for grower and 7.80 g/kg Ca, 3.90 g/kg AvP for finisher; LCP1: 8.30 g/kg Ca, 4.20 g/kg AvP for grower and 7.10 g/kg Ca, 3.50 g/kg AvP for finisher; LCP2: 7.90 g/kg Ca, 4.00 g/kg AvP for grower and 6.00 g/kg Ca, 3.00 g/kg AvP for finisher; LCP3: 7.00 g/kg Ca, 3.80 g/kg for grower and 5.00 g/kg Ca, 3.00 g/kg AvP for finisher. Performance variables have been calculated from the data of each period, and samples were obtained from the slaughtered birds on the final day of the trial (42nd day) for carcass and tibia traits and jejunum histomorphology. Reducing dietary Ca and AvP did not affect the broiler performance, carcass yield and mortality. Tibia ash decreased in LCP2 and LCP3 groups (P < 0.01). Villus width and villus surface area increased in LCP2 and LCP3. Overall, feeding with a diet 100 g/kg lower than the recommended Ca and AvP did not affect performance in broilers, but improved jejunal development.
Management of supraglottic stenosis using interarytenoid Z-plasty: how I do it
Authors: Jaffal Hussein , Tumlin Parker , McArdle Erica 
Published: May 2024

AbstractBackgroundSupraglottoplasty is the primary surgical treatment of congenital laryngomalacia. Supraglottic stenosis is a rare complication of supraglottoplasty that is difficult to manage.MethodsThis study presents a new endoscopic mucosa-sparing Z-plasty double transposition flap technique that was used to manage supraglottic stenosis following supraglottoplasty for severe congenital laryngomalacia in an eight-month-old infant.ResultsAt 10 months post-operatively, the patient remained asymptomatic and flexible laryngoscopy showed adequate supraglottic patency.ConclusionEndoscopic interarytenoid Z-plasty is a safe and effective technique in the management of paediatric supraglottic stenosis.
Apocalyptic praxis in Evagrius of Pontus and Francis of Assisi
Authors: Lambelet Kyle B. T. 
Published: May 2024

AbstractThe Christian mystical tradition approaches the apocalyptic as praxis – a way of living that renounces the world as it is, lives proleptically into a counter-world of God's reign and practices indifferent freedom in the meantime to love God and neighbour. Although concerns about the ethical viability of such a disposition have merit, this essay demonstrates its constructive possibility through recourse to two archives: the writings of Evagrius of Pontus and the witness of Francis of Assisi. By recovering a scriptural distinction between world and creation, and by emphasising the posture of holy indifference, apocalyptic praxis offers a resource and guide.
AI and the future of IR: Disentangling flesh-and-blood, institutional, and synthetic moral agency in world politics
Authors: Erskine Toni 
Published: May 2024

AbstractIntelligent machines – from automated robots to algorithmic systems – can create images and poetry, steer our preferences, aid decision making, and kill. Our perception of their capacities, relative autonomy, and moral status will profoundly affect not only how we interpret and address practical problems in world politics over the next 50 years but also how we prescribe and evaluate individual and state responses. In this article, I argue that we must analyse this emerging synthetic agency in order to effectively navigate – and theorise – the future of world politics. I begin by outlining the ways that agency has been under-theorised within the discipline of International Relations (IR) and suggest that artificial intelligence (AI) disrupts prevailing conceptions. I then examine how individual human beings and formal organisations – purposive actors with which IR is already familiar – qualify as moral agents, or bearers of duties, and explore what criteria intelligent machines would need to meet to also qualify. After demonstrating that synthetic agents currently lack the ‘reflexive autonomy’ required for moral agency, I turn to the context of war to illustrate how insights drawn from this comparative analysis counter our tendency to elide different manifestations of moral agency in ways that erode crucial notions of responsibility in world politics.
Reproducing socio-ecological life from below: Towards a planetary political economy of the global majority
Authors: Tansel Cemal Burak , Tilley Lisa 
Published: May 2024

AbstractConfronting the coming five decades from our present conjuncture demands – to paraphrase Antonio Gramsci’s famous mantra – both critical pessimism and a wilful politics of hope. In this article, we engage with the politics of climate breakdown and the responses to wider socio-ecological crises with a necessary critical pessimism. Specifically, we confront the capture of green transition imperatives by finance capital, as well as the troubling orientation of transition towards building new structures of accumulation around the vision of an electrified consumer society. We also see the coming decades being marked by the ever-increasing wealth of global asset-owning classes – who, by definition, enclose the atmospheric commons faster than any other community. Against this dystopian picture of increasingly concentrated wealth, corporate excess, and terrestrial crisis, we focus on the stubborn reproduction of socio-ecological life through various grounded projects across the world. We engage with communities who work against structural constraints to reproduce life from below through urban commoning, food sovereignty, Indigenous organising, and caretaking economies – all of which are scaling out their visions through alternative internationals. All of these projects, we argue, present a planetary and multiscalar political economy in practice, which connects grounded experience with resistance to the dynamics of capitalism at the state, corporate, and transnational levels. With lessons from these communities in mind, we call for a ‘planetary political economy of the global majority’, which prioritises the reproduction of socio-ecological life according to the visions of grounded anti-systemic projects.
Musical humour and caricatures in The Book of Mormon
Authors: Braae Nick 
Published: May 2024

AbstractThis article examines the musical techniques used to create humour in the contemporary Broadway musical The Book of Mormon. Drawing on existing theories of parody, I argue that most songs initially rely on ‘straight’ and accurate imitations of other Broadway composers and pop-rock artists to set up an incongruity with the characters’ words or actions. There is a tendency then for these intertextual references to be layered or exaggerated, giving the joke in question an overblown quality. I adopt the novel label of a ‘musical caricature’ to describe such instances. This analysis thus presents a new methodological tool for studying musical humour; it also offers insights into The Book of Mormon's critical success as well as the writers’ ability to evade censure for the crude and potentially offensive thematic content.
Molecular detection of Histoplasma capsulatum in organ samples from bats randomly captured in urban areas of Araraquara, São Paulo state, Brazil
Authors: Ruiz-Muñoz Jessica A. , Rodríguez-Arellanes Gabriela , Ramírez José A. , Carreto-Binaghi Laura E. , Fusco-Almeida Ana M. , Mendes-Giannini Maria J. S. , García-Pérez Blanca E. , Taylor Maria L. 
Published: May 2024

Abstract
The mycosis histoplasmosis is also considered a zoonosis that affects humans and other mammalian species worldwide. Among the wild mammals predisposed to be infected with the etiologic agent of histoplasmosis, bats are relevant because they are reservoir of Histoplasma species, and they play a fundamental role in maintaining and spreading fungal propagules in the environments since the infective mycelial phase of Histoplasma grows in their accumulated guano. In this study, we detected the fungal presence in organ samples of bats randomly captured in urban areas of Araraquara City, São Paulo, Brazil. Fungal detection was performed using a nested polymerase chain reaction to amplify a molecular marker (Hcp100) unique to H. capsulatum, which revealed the pathogen presence in organ samples from 15 out of 37 captured bats, indicating 40.5% of infection. Out of 22 Hcp100-amplicons generated, 41% corresponded to lung and trachea samples and 59% to spleen, liver, and kidney samples. Data from these last three organs suggest that bats develop disseminated infections. Considering that infected bats create environments with a high risk of infection, it is important to register the percentage of infected bats living in urban areas to avoid risks of infection to humans, domestic animals, and wildlife.
A Flexible Framework for Simulating the Water Balance of Lakes and Reservoirs From Local to Global Scales: mizuRoute‐Lake
Authors: Gharari Shervan , Vanderkelen Inne , Tefs Andrew , Mizukami Naoki , Kluzek Erik , Stadnyk Tricia , Lawrence David , Clark Martyn P. 
Published: May 2024

AbstractLakes and reservoirs are an integral part of the terrestrial water cycle. In this work, we present the implementation of different water balance models of lakes and reservoirs into mizuRoute, a vector‐based routing model, termed mizuRoute‐Lake. As the main advantage of mizuRoute‐Lake, users can choose between various parametric models implemented in mizuRoute‐Lake. So far, three parametric models of lake and reservoir water balance, namely Hanasaki, HYPE, and Döll are implemented in mizuRoute‐Lake. In general, the parametric models relate the outflow from lakes or reservoirs to the storage and various parameters including inflow, demand, volume of storage, etc. Additionally, this flexibility allows users to easily evaluate and compare the effect of various water balance models for a lake without needing to reconfigure the routing model or change the parameters of other lakes or reservoirs in the modeling domain. Users can also use existing data such as historical observations or water management models to specify the behavior of a selected number of lakes and reservoirs within the modeling domain using the data‐driven capability of mizuRoute‐Lake. We demonstrate the flexibility of mizuRoute‐Lake by presenting global, regional, and local scale applications. The development of mizuRoute‐Lake paves the way for better integration of water management models, locally measured, and remotely sensed data sets in the context of Earth system modeling.
Groundwater Level Forecasting Using Machine Learning: A Case Study of the Baekje Weir in Four Major Rivers Project, South Korea
Authors: Yi Sooyeon , Kondolf G. Mathias , Sandoval Solis Samuel , Dale Larry 
Published: May 2024

AbstractUnderstanding the impact of human‐made structures on groundwater levels is essential, with structures like dams or weirs presenting unique challenges and opportunities for study. The Baekje weir in South Korea presents an interesting case as the weir has undergone full gate opening, which is generally not the case for weirs and reservoirs, providing valuable opportunity for simulating weir removal conditions. The main objectives are investigation of groundwater level fluctuations under various weir operations, distances from the weir, and seasonal variations. The study utilizes observed data that simulates conditions with and without the weir, including scenarios of full gate opening. Multiple machine learning algorithms—Random Forest (RF), Artificial Neural Network, Support Vector Regression (SVR), Gradient Boosting, and Extreme Gradient Boosting (XGBoost)—are used to develop accurate groundwater level prediction models. The models' performance is assessed using coefficient of determination, Root mean square error (RMSE), Mean Absolute Error (MAE) indices, and visualized through Taylor diagrams. Results indicate that XGBoost outperforms other models in all three groups during both training and testing phases. Specifically, XGBoost surpasses RF by 2.09% (R2), 5.66% (RMSE), and 10.1% (MAE) in training, and outperforms SVR by 11.2% (R2), 42.0% (RMSE), and 129.2% (MAE) in testing. Additionally, the study generates groundwater level maps, providing a practical tool for managing groundwater systems and informing decision‐making in weir operations. This study not only sheds light on the dynamic relationship between weir operations and groundwater levels but also provides actionable insights for effective water management in similar hydrological settings.
Observation and Numerical Simulation of Cold Ions Energized by EMIC Waves
Authors: Kim K.‐H. , Jun C.‐W. , Kwon J.‐W. , Lee J. , Shiokawa K. , Miyoshi Y. , Kim E.‐H. , Min K. , Seough J. , Asamura K. , Shinohara I. , Matsuoka A. , Yokota S. , Kasahara Y. , Kasahara S. , Hori T. , Keika K. , Kumamoto A. , Tsuchiya F. 
Published: May 2024

AbstractThis is the first report of significant energization (up to 7,000 eV) of low‐energy He+ ions, which occurred simultaneously with H‐band electromagnetic ion cyclotron (EMIC) wave activity, in a direction mostly perpendicular to the ambient magnetic field. The event was detected by the Arase satellite in the dayside plasmatrough region off the magnetic equator on 15 May 2019. The peak energy of the He+ flux enhancements is mostly above 1,000 eV. At some interval, the He+ ions are energized up to ∼7,000 eV. The H‐band waves are excited in a frequency band between the local crossover and helium gyrofrequencies and are close to a linear polarization state with weakly left‐handed or right‐handed polarization. The normal angle of the waves exhibits significant variation between 0° and 80°, indicating a non‐parallel propagation. We run a hybrid code with parameters estimated from the Arase observations to examine the He+ energization. The simulations show that cold He+ ions are energized up to more than 1,000 eV, similar to the spacecraft observations. From the analysis of the simulated wave fields and cold plasma motions, we found that the ratio of the wave frequency to He+ gyrofrequency is a primary factor for transverse energization of cold He+ ions. As a consequence of the numerical analysis, we suggest that the significant transverse energization of He+ ions observed by Arase is attributed to H‐band EMIC waves excited near the local helium gyrofrequency.
AI‐Based Ensemble Flood Forecasts and Its Implementation in Multi‐Objective Robust Optimization Operation for Reservoir Flood Control
Authors: Guo Yuxue , Xu Yue‐Ping , Yu Xinting , Liu Li , Gu Haiting 
Published: May 2024

AbstractInforming reservoirs with forecasts is highly important for real‐time flood control. This study proposed a forecast‐informed methodology framework for reservoir flood control operation under uncertainty. A new combination of two post‐processing methods, that is, the Cloud model and error‐based copula functions, were developed to merge individual AI‐based forecasts to ensemble flood forecasts, so called stochastic errors‐based Cloud (SE‐Cloud). A multi‐objective robust optimization model (MRO) integrating the risk, resilience, and vulnerability was then proposed to tackle flood control problems under ensemble forecasts; for comparison, a two‐objective stochastic optimization model (TSO) was developed to minimize the expected highest reservoir level and peak release. The proposed methodology was applied to the Lishimen reservoir in the Shifeng River subbasin, China, aiming to comprehensively verify the relationships among deterministic forecasts, ensemble forecasts, and flood control performance. Results showed that the Cloud model could effectively integrate different models and improve forecast accuracy. But a higher deterministic forecast quality did not consistently result in improved flood control performance. SE‐Cloud could capture the peak flow and effectively characterize forecast uncertainties and increased hypervolume values by 13.14%–39.65% compared to the Cloud model, indicating the superiority of ensemble forecasts in generating robust solutions over individual deterministic forecasts. MRO released more inflow than TSO, decreasing the expected highest water level by 0.05 m and incrementing the expected peak release by 4.29%. However, with downstream resilience value remaining at zero, it is demonstrated that MRO improving upstream vulnerability did not necessarily diminish resilience. The enhanced robustness highlights the potential of AI‐based ensemble forecasts in flood control.
DeepARV: ensemble deep learning to predict drug-drug interaction of clinical relevance with antiretroviral therapy
Authors: Pham Thao , Ghafoor Mohamed , Grañana-Castillo Sandra , Marzolini Catia , Gibbons Sara , Khoo Saye , Chiong Justin , Wang Dennis , Siccardi Marco 
Published: May 2024

AbstractDrug-drug interaction (DDI) may result in clinical toxicity or treatment failure of antiretroviral therapy (ARV) or comedications. Despite the high number of possible drug combinations, only a limited number of clinical DDI studies are conducted. Computational prediction of DDIs could provide key evidence for the rational management of complex therapies. Our study aimed to assess the potential of deep learning approaches to predict DDIs of clinical relevance between ARVs and comedications. DDI severity grading between 30,142 drug pairs was extracted from the Liverpool HIV Drug Interaction database. Two feature construction techniques were employed: 1) drug similarity profiles by comparing Morgan fingerprints, and 2) embeddings from SMILES of each drug via ChemBERTa, a transformer-based model. We developed DeepARV-Sim and DeepARV-ChemBERTa to predict four categories of DDI: i) Red: drugs should not be co-administered, ii) Amber: interaction of potential clinical relevance manageable by monitoring/dose adjustment, iii) Yellow: interaction of weak relevance and iv) Green: no expected interaction. The imbalance in the distribution of DDI severity grades was addressed by undersampling and applying ensemble learning. DeepARV-Sim and DeepARV-ChemBERTa predicted clinically relevant DDI between ARVs and comedications with a weighted mean balanced accuracy of 0.729 ± 0.012 and 0.776 ± 0.011, respectively. DeepARV-Sim and DeepARV-ChemBERTa have the potential to leverage molecular structures associated with DDI risks and reduce DDI class imbalance, effectively increasing the predictive ability on clinically relevant DDIs. This approach could be developed for identifying high-risk pairing of drugs, enhancing the screening process, and targeting DDIs to study in clinical drug development.
Proactive vaccination using multiviral Quartet Nanocages to elicit broad anti-coronavirus responses
Authors: Hills Rory A. , Tan Tiong Kit , Cohen Alexander A. , Keeffe Jennifer R. , Keeble Anthony H. , Gnanapragasam Priyanthi N. P. , Storm Kaya N. , Rorick Annie V. , West Anthony P. , Hill Michelle L. , Liu Sai , Gilbert-Jaramillo Javier , Afzal Madeeha , Napier Amy , Admans Gabrielle , James William S. , Bjorkman Pamela J. , Townsend Alain R. , Howarth Mark R. 
Published: May 2024

AbstractDefending against future pandemics requires vaccine platforms that protect across a range of related pathogens. Nanoscale patterning can be used to address this issue. Here, we produce quartets of linked receptor-binding domains (RBDs) from a panel of SARS-like betacoronaviruses, coupled to a computationally designed nanocage through SpyTag/SpyCatcher links. These Quartet Nanocages, possessing a branched morphology, induce a high level of neutralizing antibodies against several different coronaviruses, including against viruses not represented in the vaccine. Equivalent antibody responses are raised to RBDs close to the nanocage or at the tips of the nanoparticle’s branches. In animals primed with SARS-CoV-2 Spike, boost immunizations with Quartet Nanocages increase the strength and breadth of an otherwise narrow immune response. A Quartet Nanocage including the Omicron XBB.1.5 ‘Kraken’ RBD induced antibodies with binding to a broad range of sarbecoviruses, as well as neutralizing activity against this variant of concern. Quartet nanocages are a nanomedicine approach with potential to confer heterotypic protection against emergent zoonotic pathogens and facilitate proactive pandemic protection.
Anisotropic exchange interaction of two hole-spin qubits
Authors: Geyer Simon , Hetényi Bence , Bosco Stefano , Camenzind Leon C. , Eggli Rafael S. , Fuhrer Andreas , Loss Daniel , Warburton Richard J. , Zumbühl Dominik M. , Kuhlmann Andreas V. 
Published: May 2024

AbstractSemiconductor spin qubits offer the potential to employ industrial transistor technology to produce large-scale quantum computers. Silicon hole spin qubits benefit from fast all-electrical qubit control and sweet spots to counteract charge and nuclear spin noise. However, the demonstration of a two-qubit interaction has remained an open challenge. One missing factor is an understanding of the exchange coupling in the presence of a strong spin–orbit interaction. Here we study two hole-spin qubits in a silicon fin field-effect transistor, the workhorse device of today’s semiconductor industry. We demonstrate electrical tunability of the exchange splitting from above 500 MHz to close-to-off and perform a conditional spin-flip in 24 ns. The exchange is anisotropic because of the spin–orbit interaction. Upon tunnelling from one quantum dot to the other, the spin is rotated by almost 180 degrees. The exchange Hamiltonian no longer has the Heisenberg form and can be engineered such that it enables two-qubit controlled rotation gates without a trade-off between speed and fidelity. This ideal behaviour applies over a wide range of magnetic field orientations, rendering the concept robust with respect to variations from qubit to qubit, indicating that it is a suitable approach for realizing a large-scale quantum computer.
Targeting pathological cells with senolytic drugs reduces seizures in neurodevelopmental mTOR-related epilepsy
Authors: Ribierre Théo , Bacq Alexandre , Donneger Florian , Doladilhe Marion , Maletic Marina , Roussel Delphine , Le Roux Isabelle , Chassoux Francine , Devaux Bertrand , Adle-Biassette Homa , Ferrand-Sorbets Sarah , Dorfmüller Georg , Chipaux Mathilde , Baldassari Sara , Poncer Jean-Christophe , Baulac Stéphanie 
Published: May 2024

AbstractCortical malformations such as focal cortical dysplasia type II (FCDII) are associated with pediatric drug-resistant epilepsy that necessitates neurosurgery. FCDII results from somatic mosaicism due to post-zygotic mutations in genes of the PI3K-AKT-mTOR pathway, which produce a subset of dysmorphic cells clustered within healthy brain tissue. Here we show a correlation between epileptiform activity in acute cortical slices obtained from human surgical FCDII brain tissues and the density of dysmorphic neurons. We uncovered multiple signatures of cellular senescence in these pathological cells, including p53/p16 expression, SASP expression and senescence-associated β-galactosidase activity. We also show that administration of senolytic drugs (dasatinib/quercetin) decreases the load of senescent cells and reduces seizure frequency in an MtorS2215F FCDII preclinical mouse model, providing proof of concept that senotherapy may be a useful approach to control seizures. These findings pave the way for therapeutic strategies selectively targeting mutated senescent cells in FCDII brain tissue.