bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hypersensitivity myocarditis induced by isoniazid overdose in a 15-year-old girl: a case report
Authors: Akçay Nihal , Ateş Büşra , Topal Neval , Bornaun Helen , Tosun Demet , Bingöl İlyas 
Published: October 2024

AbstractIntroduction:Myocarditis represents a diverse group of inflammatory diseases affecting the heart muscle, with both infectious and non-infectious etiologies. Among the non-infectious causes, drug-induced hypersensitivity reactions are rare but serious. Isoniazid, a cornerstone in tuberculosis treatment, is known for its hepatotoxicity but has rarely been documented to cause hypersensitivity myocarditis.Case report:We present a case of a 15-year-old girl from Eastern Turkmenistan who was admitted to our emergency department with altered consciousness and seizure activity. She was diagnosed with status epilepticus and treated accordingly. The patient, with no prior medical history, was found to have hypotensive shock and myocarditis upon further examination. A detailed history revealed she had ingested 45 tablets of expired isoniazid in a suicide attempt. She was treated with pyridoxine and supportive therapies, resulting in a gradual recovery.Conclusion:This case underscores the critical need to consider drug-induced hypersensitivity myocarditis in the differential diagnosis of myocarditis, especially in patients with recent medication use. Prompt recognition and appropriate treatment with pyridoxine, steroid, and supportive cardiac care can be lifesaving. This case also highlights the importance of awareness regarding the potential cardiotoxic effects of isoniazid overdose.
Depression, anxiety, psychological distress, and perceived social support among Ugandan palliative care providers during the COVID-19 pandemic
Authors: Horvath Mariah , Kizito Simon , Ghiaseddin Roya , Irumba Lisa Christine , Mwesiga Mark Donald , Ahern Lacey N. 
Published: October 2024

AbstractObjectivesTo identify the prevalence of depression, anxiety, and psychosocial distress among Ugandan palliative care providers during the COVID-19 pandemic, measure providers’ perceived levels of social support, and identify factors affecting a provider’s likelihood of being depressed, anxious, distressed, or perceiving various levels of social support.MethodsData was collected from 123 palliative care providers using an online survey. Depression, anxiety, and psychological distress were measured using the Patient Health Questionnaire-9, the Generalized Anxiety Disorder-7, and the Self-Reporting Questionnaire, respectively. Information on perceived level of social support was gathered through the Multidimensional Scale of Perceived Social Support. The survey also asked about mental health resources available to providers at their place of work and what resources are still needed.ResultsParticipants ranged in age, gender, religion, marital status, clinical position, and years of experience in palliative care. Results indicate that 20% of respondents show signs of moderate to severe depression, 14% show signs of moderate to severe anxiety, and 33% show signs of psychological distress. Additionally, 50% of respondents reported a low total level of social support. Depression, anxiety, and psychological distress scores were all negatively correlated with perceived social support scores. Over 50% expressed a desire for additional mental health resources at their place of work.Significance of resultsIn 2021–2022, the severity of depression, anxiety, and psychological distress varied among palliative care providers in Uganda, with some experiencing moderate to severe mental health effects. Higher degrees of depression, anxiety, and psychological distress were correlated with lower levels of perceived social support, highlighting the importance of social support during times of crisis. The results highlight a desire for improved access to mental health resources and will help providers and organizations provide better support and better prepare for future crises.
Does it matter that an ally is democratic during crises? Public diplomacy and attitudes towards international allies in times of crisis
Authors: Coticchia Fabrizio , Di Giulio Marco , Masullo Juan , Ruggeri Andrea 
Published: October 2024

Abstract
Can public diplomacy in times of crisis shape citizens’ attitudes towards international politics? Using a survey experiment in Italy, we evaluated whether information cues about public diplomacy efforts by the United States and China to assist the country in dealing with the COVID-19 emergency shifted the importance citizens attached to Italy’s international allies being democracies. We found that citizens who receive positive cues about USA efforts to assist Italy report a stronger preference for Italy interacting with democracies. At the same time, when they received positive cues about China’s efforts to assist Italy, they discounted the importance attached to international allies being democracies. We further found that these effects are conditional on the participants’ support for democracy at home. We argue that these findings are consistent with a cognitive dissonance framework where citizens update their attitudes to decrease dissonant cognitions when they receive information that challenges prior beliefs or expectations.
Latin America: Weak academic freedom within strong university autonomy
Authors: Bernasconi Andrés 
Published: October 2024

Abstract
In Latin America, the notions of academic freedom or the freedom of science have not had the overarching influence in defining the prerogatives of scholars and the university that we see them exerting over the experiences of Western Europe and the Anglosphere. The governing notion, from whence all other freedoms emerge, is that of university autonomy. In Latin America, university autonomy evolved over the twentieth century as a protection of the university against the encroachment of governments – often authoritarian or outright dictatorial – so they could carry out their missions as they defined them. In Latin America, the locus of what in Europe is understood as scientific freedom is vested in the universities, not in the professoriate. It is assumed that free universities will foster an environment of academic freedom within. The contemporary contestations of university autonomy in Latin America fit squarely into the liberal script, as they seek to make universities more responsive to policy goals in the areas of higher education quality and accountability, efficiency and productivity, expansion of public or private provision, access and equity. Often, universities and their associations have raised autonomy as an objection to these policy agendas.
A New Coupled Biogeochemical Modeling Approach Provides Accurate Predictions of Methane and Carbon Dioxide Fluxes Across Diverse Tidal Wetlands
Authors: Oikawa P. Y. , Sihi D. , Forbrich I. , Fluet‐Chouinard E. , Najarro M. , Thomas O. , Shahan J. , Arias‐Ortiz A. , Russell S. , Knox S. H. , McNicol G. , Wolfe J. , Windham‐Myers L. , Stuart‐Haentjens E. , Bridgham S. D. , Needelman B. , Vargas R. , Schäfer K. , Ward E. J. , Megonigal P. , Holmquist J. 
Published: October 2024

AbstractTidal wetlands provide valuable ecosystem services, including storing large amounts of carbon. However, the net exchanges of carbon dioxide (CO2) and methane (CH4) in tidal wetlands are highly uncertain. While several biogeochemical models can operate in tidal wetlands, they have yet to be parameterized and validated against high‐frequency, ecosystem‐scale CO2 and CH4 flux measurements across diverse sites. We paired the Cohort Marsh Equilibrium Model (CMEM) with a version of the PEPRMT model called PEPRMT‐Tidal, which considers the effects of water table height, sulfate, and nitrate availability on CO2 and CH4 emissions. Using a model‐data fusion approach, we parameterized the model with three sites and validated it with two independent sites, with representation from the three marine coasts of North America. Gross primary productivity (GPP) and ecosystem respiration (Reco) modules explained, on average, 73% of the variation in CO2 exchange with low model error (normalized root mean square error (nRMSE) <1). The CH4 module also explained the majority of variance in CH4 emissions in validation sites (R2 = 0.54; nRMSE = 1.15). The PEPRMT‐Tidal‐CMEM model coupling is a key advance toward constraining estimates of greenhouse gas emissions across diverse North American tidal wetlands. Further analyses of model error and case studies during changing salinity conditions guide future modeling efforts regarding four main processes: (a) the influence of salinity and nitrate on GPP, (b) the influence of laterally transported dissolved inorganic C on Reco, (c) heterogeneous sulfate availability and methylotrophic methanogenesis impacts on surface CH4 emissions, and (d) CH4 responses to non‐periodic changes in salinity.
Reconciling Top‐Down and Bottom‐Up Estimates of Ecosystem Respiration in a Mature Eucalypt Forest
Authors: Noh N. J. , Renchon A. A. , Knauer J. , Haverd V. , Li J. , Griebel A. , Barton C. V. M. , Yang J. , Sihi D. , Arndt S. K. , Davidson E. A. , Tjoelker M. G. , Pendall E. 
Published: October 2024

AbstractEcosystem respiration (Reco) arises from interacting autotrophic and heterotrophic processes constrained by distinct drivers. Here, we evaluated up‐scaling of observed components of Reco in a mature eucalypt forest in southeast Australia and assessed whether a land surface model adequately represented all the fluxes and their seasonal temperature responses. We measured respiration from soil (Rsoil), heterotrophic soil microbes (Rh), roots (Rroot), and stems (Rstem) in 2018–2019. Reco and its components were simulated using the CABLE–POP (Community Atmosphere‐Biosphere Land Exchange–Population Orders Physiology) land surface model, constrained by eddy covariance and chamber measurements and enabled with a newly implemented Dual Arrhenius and Michaelis‐Menten (DAMM) module for soil organic matter decomposition. Eddy‐covariance based Reco (Reco.eddy, 1,439 g C m−2 y−1) was slightly higher than the sum of the respiration components (Reco.sum, 1,295 g C m−2 y−1) and simulated Reco (1,297 g C m−2 y−1). The largest mean contribution to Reco was from Rsoil (64%) across seasons. The measured contributions of Rh (49%), Rroot (15%), and Rstem (22%) to Reco.sum were very close to model outputs of 46%, 11%, and 22%, respectively. The modeled Rh was highly correlated with measured Rh (R2 = 0.66, RMSE = 0.61), empirically validating the DAMM module. The apparent temperature sensitivities (Q10) of Reco were 2.22 for Reco.sum, 2.15 for Reco.eddy, and 1.57 for CABLE‐POP. This research demonstrated that bottom‐up respiration component measurements can be successfully scaled to eddy covariance‐based Reco and help to better constrain the magnitude of individual respiration components as well as their temperature sensitivities in land surface models.
New Analytical Solutions for Constant Rate Pumping in Two‐Zone Double‐Porosity Confined Aquifer: A New Source Term Reflecting Effects of Well Skin and Wellbore Storage
Authors: Wang Chen , Tong Chenchen , Yeh Hund‐Der , Huang Ching‐Sheng 
Published: October 2024

AbstractThis study develops two new analytical models for constant rate pumping at a partially penetrating well in a double‐porosity confined aquifer, considering skin and formation zones. One model, referred to as the two‐zone model, incorporates a flow equation to depict the flow in the skin around the well. The other model, named the source‐term model, introduces a novel source term at the outer rim of the skin to reflect the effects of both the skin and wellbore storage. The analytical solutions for both models are derived by the Laplace transform and finite Fourier cosine transform. Additionally, a finite element solution for the source‐term model is presented. Results suggest the source‐term model is suitable to most wells when the width of the skin is less than 1 m and the radius of influence exceeds the outer rim of the skin. Temporal drawdown distribution for a negative skin exhibits a triple‐humped shape with two flat stages, while that for a positive skin shows monotonous increase. The source‐term model enables orthogonal 5 × 5 nodes for finite element approximation to discretize a well and its adjacent skin. The finite element solution aligns with early drawdown data measured at an observation well under the effects observed in two field constant rate pumping tests. In conclusion, this study introduces a novel approach to modeling two‐zone flow, which may find practical utility in field applications.
Comparing the Sources of Sediment Retained by Beaver Dams and Beaver Dam Analogs
Authors: Westbrook Cherie J. , Cooper David J. 
Published: October 2024

AbstractBeavers modify riverine systems by building dams that alter downstream fluxes of water and sediment. Where beavers have been lost and stream channels degraded, beaver dam analogs (BDAs) are being used to mimic the effects of beaver engineering. Central to the success of these structures in accelerating stream recovery is creating similar ecosystem responses as beaver dams including sediment retention. Unknown is the relative importance of beaver actions versus erosion in the catchment in generating the retained sediment. This study tested the viability of sediment fingerprinting to determine the source of sediment retained by beaver dams and BDAs in a watershed in Alberta, Canada. Concentrations of 29 elements were measured as potential tracers from known sediment sources: upland, terrace, stream bank, and beaver canal. Virtual mixture tests, used to compare the computed source estimates with known source mixtures, revealed that sediment fingerprinting is a robust method for identifying sources of sediment retained by beaver ponds and BDAs. The un‐mixing model results indicate that on average 56% of the sediment retained by the beaver dams originated from terraces, 23% from uplands, and 13% from beaver canals. About 89% of sediment retained by the BDAs originated from eroding stream banks. We conclude that the geomorphic effects of beavers and their dams are more diverse, resulting in more diverse sources of sediment retained by their dams. This differentiates beaver dams from BDAs. The study has implications for informing management practices that involve beavers and beaver mimicry.
Iron homeostasis and ferroptosis in human diseases: mechanisms and therapeutic prospects
Authors: Ru Qin , Li Yusheng , Chen Lin , Wu Yuxiang , Min Junxia , Wang Fudi 
Published: October 2024

AbstractIron, an essential mineral in the body, is involved in numerous physiological processes, making the maintenance of iron homeostasis crucial for overall health. Both iron overload and deficiency can cause various disorders and human diseases. Ferroptosis, a form of cell death dependent on iron, is characterized by the extensive peroxidation of lipids. Unlike other kinds of classical unprogrammed cell death, ferroptosis is primarily linked to disruptions in iron metabolism, lipid peroxidation, and antioxidant system imbalance. Ferroptosis is regulated through transcription, translation, and post-translational modifications, which affect cellular sensitivity to ferroptosis. Over the past decade or so, numerous diseases have been linked to ferroptosis as part of their etiology, including cancers, metabolic disorders, autoimmune diseases, central nervous system diseases, cardiovascular diseases, and musculoskeletal diseases. Ferroptosis-related proteins have become attractive targets for many major human diseases that are currently incurable, and some ferroptosis regulators have shown therapeutic effects in clinical trials although further validation of their clinical potential is needed. Therefore, in-depth analysis of ferroptosis and its potential molecular mechanisms in human diseases may offer additional strategies for clinical prevention and treatment. In this review, we discuss the physiological significance of iron homeostasis in the body, the potential contribution of ferroptosis to the etiology and development of human diseases, along with the evidence supporting targeting ferroptosis as a therapeutic approach. Importantly, we evaluate recent potential therapeutic targets and promising interventions, providing guidance for future targeted treatment therapies against human diseases.
Macrophage diversity in cancer dissemination and metastasis
Authors: Mantovani Alberto , Marchesi Federica , Di Mitri Diletta , Garlanda Cecilia 
Published: October 2024

AbstractInvasion and metastasis are hallmarks of cancer. In addition to the well-recognized hematogenous and lymphatic pathways of metastasis, cancer cell dissemination can occur via the transcoelomic and perineural routes, which are typical of ovarian and pancreatic cancer, respectively. Macrophages are a universal major component of the tumor microenvironment and, in established tumors, promote growth and dissemination to secondary sites. Here, we review the role of tumor-associated macrophages (TAMs) in cancer cell dissemination and metastasis, emphasizing the diversity of myeloid cells in different tissue contexts (lungs, liver, brain, bone, peritoneal cavity, nerves). The generally used models of lung metastasis fail to capture the diversity of pathways and tissue microenvironments. A better understanding of TAM diversity in different tissue contexts may pave the way for tailored diagnostic and therapeutic approaches.
Analytical ab initio hessian from a deep learning potential for transition state optimization
Authors: Yuan Eric C.-Y. , Kumar Anup , Guan Xingyi , Hermes Eric D. , Rosen Andrew S. , Zádor Judit , Head-Gordon Teresa , Blau Samuel M. 
Published: October 2024

AbstractIdentifying transition states—saddle points on the potential energy surface connecting reactant and product minima—is central to predicting kinetic barriers and understanding chemical reaction mechanisms. In this work, we train a fully differentiable equivariant neural network potential, NewtonNet, on thousands of organic reactions and derive the analytical Hessians. By reducing the computational cost by several orders of magnitude relative to the density functional theory (DFT) ab initio source, we can afford to use the learned Hessians at every step for the saddle point optimizations. We show that the full machine learned (ML) Hessian robustly finds the transition states of 240 unseen organic reactions, even when the quality of the initial guess structures are degraded, while reducing the number of optimization steps to convergence by 2–3× compared to the quasi-Newton DFT and ML methods. All data generation, NewtonNet model, and ML transition state finding methods are available in an automated workflow.
A machine learning model reveals expansive downregulation of ligand-receptor interactions that enhance lymphocyte infiltration in melanoma with developed resistance to immune checkpoint blockade
Authors: Sahni Sahil , Wang Binbin , Wu Di , Dhruba Saugato Rahman , Nagy Matthew , Patkar Sushant , Ferreira Ingrid , Day Chi-Ping , Wang Kun , Ruppin Eytan 
Published: October 2024

AbstractImmune checkpoint blockade (ICB) is a promising cancer therapy; however, resistance frequently develops. To explore ICB resistance mechanisms, we develop Immunotherapy Resistance cell-cell Interaction Scanner (IRIS), a machine learning model aimed at identifying cell-type-specific tumor microenvironment ligand-receptor interactions relevant to ICB resistance. Applying IRIS to deconvolved transcriptomics data of the five largest melanoma ICB cohorts, we identify specific downregulated interactions, termed resistance downregulated interactions (RDI), as tumors develop resistance. These RDIs often involve chemokine signaling and offer a stronger predictive signal for ICB response compared to upregulated interactions or the state-of-the-art published transcriptomics biomarkers. Validation across multiple independent melanoma patient cohorts and modalities confirms that RDI activity is associated with CD8 + T cell infiltration and highly manifested in hot/brisk tumors. This study presents a strongly predictive ICB response biomarker, highlighting the key role of downregulating chemotaxis-associated ligand-receptor interactions in inhibiting lymphocyte infiltration in resistant tumors.
Deconstructing the geography of human impacts on species’ natural distribution
Authors: Waldock Conor , Wegscheider Bernhard , Josi Dario , Calegari Bárbara Borges , Brodersen Jakob , Jardim de Queiroz Luiz , Seehausen Ole 
Published: October 2024

AbstractIt remains unknown how species’ populations across their geographic range are constrained by multiple coincident natural and anthropogenic environmental gradients. Conservation actions are likely undermined without this knowledge because the relative importance of the multiple anthropogenic threats is not set within the context of the natural determinants of species’ distributions. We introduce the concept of a species ‘shadow distribution’ to address this knowledge gap, using explainable artificial intelligence to deconstruct the environmental building blocks of current species distributions. We assess shadow distributions for multiple threatened freshwater fishes in Switzerland which indicated how and where species respond negatively to threats — with negative threat impacts covering 88% of locations inside species’ environmental niches leading to a 25% reduction in environmental suitability. Our findings highlight that conservation of species’ geographic distributions is likely insufficient when biodiversity mapping is based on species distribution models, or threat mapping, without also quantifying species’ expected or shadow distributions. Overall, we show how priority actions for nature’s recovery can be identified and contextualised within the multiple natural constraints on biodiversity to better meet national and international biodiversity targets.
Non-homogenous intratumor ionizing radiation doses synergize with PD1 and CXCR2 blockade
Authors: Bergeron Paul , Dos Santos Morgane , Sitterle Lisa , Tarlet Georges , Lavigne Jeremy , Liu Winchygn , Gerbé de Thoré Marine , Clémenson Céline , Meziani Lydia , Schott Cathyanne , Mazzaschi Giulia , Berthelot Kevin , Benadjaoud Mohamed Amine , Milliat Fabien , Deutsch Eric , Mondini Michele 
Published: October 2024

AbstractThe efficacy and side effects of radiotherapy (RT) depend on parameters like dose and the volume of irradiated tissue. RT induces modulations of the tumor immune microenvironment (TIME) that are dependent on the dose. Low dose RT (LDRT, i.e., single doses of 0.5–2 Gy) has been shown to promote immune infiltration into the tumor. Here we hypothesize that partial tumor irradiation combining the immunostimulatory/non-lethal properties of LDRT with cell killing/shrinkage properties of high dose RT (HDRT) within the same tumor mass could enhance anti-tumor responses when combined with immunomodulators. In models of colorectal and breast cancer in immunocompetent female mice, partial irradiation (PI) with millimetric precision to deliver LDRT (2 Gy) and HDRT (16 Gy) within the same tumor induces substantial tumor control when combined with anti-PD1. Using flow cytometry, cytokine profiling and single-cell RNA sequencing, we identify a crosstalk between the TIME of the differentially irradiated tumor volumes. PI reshapes tumor-infiltrating CD8+ T cells into more cytotoxic and interferon-activated phenotypes but also increases the infiltration of pro-tumor neutrophils driven by CXCR2. The combination of the CXCR2 antagonist SB225002 with PD1 blockade and PI improves tumor control and mouse survival. Our results suggest a strategy to reduce RT toxicity and improve the therapeutic index of RT and immune checkpoint combinations.