bluuebunny/crossref_metadata_2025_split huggingface dataset:
Benchmarking Between COMSOL and GPYRO in Predicting Self-Heating Ignition of Lithium-Ion Batteries
Authors: Hu Zhenwen , He Xuanze , Restuccia Francesco , Rein Guillermo 
Published: November 2022

AbstractRecent studies have shown that self-heating ignition is a possible cause of fires when Lithium-ion batteries (LIBs) are stacked in large numbers, for example, during storage. The understanding of this ignition type is limited, and most current studies are based on numerical modelling. The different modelling tools found in the literature differ in their assumptions, capabilities, and resources needed, and may provide significantly different predictions. This study presents a benchmarking between COMSOL Multiphysics, which is one of the most prevailing tools used in modelling thermal-electrochemical behaviour of LIBs, and Gpyro, which is widely used in modelling ignition of solid fuels. Four case studies are designed with increasing levels of complexity: (1) just chemical kinetics at the microscale, (2) just heat transfer at the mesoscale, (3) self-heating behaviour at the mesoscale for coupled chemical reactions and heat transfer of a single cell, and (4) four-cell ensemble for multiphysics at a larger scale. The results of scenarios #3 and #4 are also compared to experiments. The results show that although COMSOL and Gpyro have significant differences in their assumptions and resources needed, both tools can accurately predict the critical conditions for ignition for self-heating, which validates their use to study the safety of LIBs.
Safety of mRNA COVID-19 Vaccines in Patients with Inborn Errors of Immunity: an Italian Multicentric Study
Authors: Milito Cinzia , Cinetto Francesco , Garzi Giulia , Palladino Andrea , Puca Marco , Brambilla Elena , De Vitis Camilla , Costanzo Giulia , Scarpa Riccardo , Punziano Alessandra , Lagnese Gianluca , Del Giacco Stefano , Spadaro Giuseppe , Quinti Isabella , Firinu Davide 
Published: November 2022

Abstract
Purpose
Little is known about vaccine safety in inborn errors of immunity (IEI) patients during the current vaccination campaign for COVID-19. To better investigate the reactogenicity and adverse event profile after two, three, and four doses of mRNA vaccines, we conducted an observational, multicentric study on 342 PID patients from four Italian Referral Centres.

Methods
We conducted a survey on self-reported adverse reactions in IEI patients who received mRNA vaccine by administering a questionnaire after each dose.

Results
Over the whole study period, none of the patients needed hospitalization or had hypersensitivity reactions, including anaphylaxis and delayed injection site reaction. After two vaccination doses, 35.4% of patients showed only local reactogenicity-related symptoms (RrS), 44.4% reported both systemic and local RrS, and 5% reported only systemic RrS. In more than 60% of cases, local or systemic RrS were mild. After the first and second booster doses, patients showed fewer adverse events (AEs) than after the first vaccination course. Patients aged 50 years and older reported adverse events and RrS less frequently. Among AEs requiring treatment, one common variable immune deficiency patient affected by T cell large granular lymphocytic leukemia developed neutropenia and one patient had Bell’s paralysis perhaps during herpes zoster reactivation.

Conclusion
Although our follow-up period is relatively short, the safety data we reported are reassuring. This data would help to contrast the vaccine hesitancy often manifested by patients with IEI and to better inform their healthcare providers.
Litter autotoxicity limits natural regeneration of Metasequoia glyptostroboides
Authors: Xu Laixian , Yao Lan , Ai Xunru , Guo Qiuju , Wang Shengbin , Zhou Dazhai , Deng Chu , Ai Xin 
Published: November 2022

AbstractWidespread autotoxicity is an important obstacle to natural regeneration of many plants. The rare relict plantMetasequoia glyptostroboidesis a difficult to natural regeneration and is affected by litter allelopathy. However, little is known about the potential influence of autotoxic substances on different regeneration stages ofM. glyptostroboides.We identified multiple chemical compounds of aqueous extracts from fresh (recently accumulated) and natural litter (mixture of litter different phases of decomposition), to evaluate the autotoxic effects of the four most important detected compounds applied individually on seed germination and seedling growth ofM. glyptostroboides.Results found that the 28 chemical compounds were identified in the aqueous extracts ofM. glyptostroboideslitter. The Jaccard similarity coefficient of chemical compounds in aqueous extracts of fresh and natural litter ofM.glyptostroboidesreached 50%. The number of chemical compounds in fresh litter was 5.56% more than that in natural litter. Catechol, trifluoroacetamide, benzoic acid and D-(+)-arabitol significantly affected seed germination rate, seed germination index, vigor index, shoot length and main root length ofM. glyptostroboides.Specifically, benzoic acid had the strongest inhibitory effect, followed by catechol, trifluoroacetamide and D-(+)-arabitol. The autotoxic effect was concentration dependent, low concentrations were positive and neutral, high and extremely high concentrations were negative for all the chemical compounds. Moreover, catechol, trifluoroacetamide, benzoic acid and D-(+)-arabitol were autotoxic substances affecting the natural regeneration ofM. glyptostroboides,as well as strongly inhibited at the shoot growth stage. This study confirms that natural regeneration ofM. glyptostroboidesis restricted by a large amount of litter coverage under the forest, highlighting how the chemical compounds responsible for the autotoxic characteristics ofM. glyptostroboidesaffect the different regeneration stages ofM. glyptostroboides.
Extratropical cyclone damage to the seawall in Dawlish, UK: eyewitness accounts, sea level analysis and numerical modelling
Authors: Adams Keith , Heidarzadeh Mohammad 
Published: November 2022

AbstractThe February 2014 extratropical cyclonic storm chain, which impacted the English Channel (UK) and Dawlish in particular, caused significant damage to the main railway connecting the south-west region to the rest of the UK. The incident caused the line to be closed for two months, £50 million of damage and an estimated £1.2bn of economic loss. In this study, we collate eyewitness accounts, analyse sea level data and conduct numerical modelling in order to decipher the destructive forces of the storm. Our analysis reveals that the disaster management of the event was successful and efficient with immediate actions taken to save lives and property before and during the storm. Wave buoy analysis showed that a complex triple peak sea state with periods at 4–8, 8–12 and 20–25 s was present, while tide gauge records indicated that significant surge of up to 0.8 m and wave components of up to 1.5 m amplitude combined as likely contributing factors in the event. Significant impulsive wave force of up to 286 KN was the most likely initiating cause of the damage. Reflections off the vertical wall caused constructive interference of the wave amplitudes that led to increased wave height and significant overtopping of up to 16.1 m3/s/m (per metre width of wall). With this information and our engineering judgement, we conclude that the most probable sequence of multi-hazard cascading failure during this incident was: wave impact force leading to masonry failure, loss of infill and failure of the structure following successive tides.
Causal models versus reason models in Bayesian networks for legal evidence
Authors: Dahlman Christian , Kolflaath Eivind 
Published: November 2022

AbstractIn this paper we compare causal models with reason models in the construction of Bayesian networks for legal evidence. In causal models, arrows in the network are drawn from causes to effects. In a reason model, the arrows are instead drawn towards the evidence, from factum probandum to factum probans. We explore the differences between causal models and reason models and observe several distinct advantages with reason models. Reason models are better aligned with the philosophy of Bayesian inference, as they model reasons for up-dating beliefs. Reason models are better suited for measuring the combined support of the evidence, and a prior probability of guilt that reflects the number of possible perpetrators is accommodated more easily with reason models.
Low-Temperature H2-deNOx in Diesel Exhaust
Authors: Eßer Enno , Müller Kim , Kureti Sven 
Published: November 2022

AbstractFor NOxremoval from diesel exhaust, the selective catalytic reduction (SCR) is the most common abatement technology. However, low engine load scenarios such as city driving and cold start phases demand efficient NOxreduction clearly below 200 °C, which is difficult to achieve with SCR. Hence, this work investigates the potential of the low-temperature NOxreduction with H2in diesel exhaust. A monolithic Pt/WOx/ZrO2catalyst, recently reported as highly active, was evaluated in synthetic and real diesel exhaust. The monolith demonstrated high deNOxactivity between 130 and 215 °C in the synthetic exhaust including peak conversion of 90% with N2selectivity up to 85%. CO/HC components were shown to inhibit the H2-deNOxconversion thus requiring a pre-oxidation catalyst in practice. Furthermore, studies performed in an optical reactor indicated strong heat evolution along the monolith. As a result, the reaction kinetics was accelerated with an enhanced consumption of H2limiting the H2-deNOxefficiency above 200 °C. Stationary tests in diesel engine exhaust substantiated the low-temperature H2-deNOxperformance of the monolith including NOxconversions up to 80% at temperatures as low as 135 °C.
The prognostic role of p53 and its correlation with CDK9 in urothelial carcinoma
Authors: Borowczak Jędrzej , Szczerbowski Krzysztof , Maniewski Mateusz , Zdrenka Marek , Słupski Piotr , Andrusewicz Hanna , Łysik-Miśkurka Joanna , Rutkiewicz Paula , Bodnar Magdalena , Szylberg Łukasz 
Published: November 2022

Abstract
Purpose
The mutation of p53 is considered a pivotal step in bladder cancer pathogenesis. Recently, distinct interactions between p53 and CDK9, a transcription regulator, have been described. In this work, we explored the prognostic role of p53 expression and evaluated its associations with CDK9 in urothelial carcinoma.

Materials and methods
The research group consisted of 67 bladder cancer samples and 32 normal urothelial mucosa samples. All specimens were analyzed using ImageJ and the IHC profiler plugin. To validate the results, 406 cases from The Cancer Genome Atlas database were analyzed.

Results
P53 and CDK9 are overexpressed in urothelial cancer tissues when compared to normal urothelial tissues (p < 0.05). High p53 expression was observed in metastatic tumors and tumors with high CDK9 expression (p < 0,05). High p53 expression was predictive for shorter survival in patients with non-muscle-invasive bladder cancer (HR = 0.107 [0.012–0.96]; p = 0.046) but did not correlate with prognosis in the muscle-invasive group. In high CDK9 cancers, high p53 expression correlated with the occurrence of high-grade and muscle-invasive tumors (p < 0.05).

Conclusion
High expression of p53 correlates with unfavorable clinical features of bladder cancer. CDK9 is associated with the expression of p53, possibly through interactions with p53 inhibitors. Since the blockade of CDK9 in other malignancies reactivates wild-p53 activity, confirming the crosstalk between p53 and CDK9 in bladder cancer may be another step to explain the mechanism of tumor progression in its early stages.
Improvement of immune thrombocytopenia with imatinib therapy following chronic myeloid leukemia
Authors: Nakamura Yuichi , Itoh Yoshihiro , Wakimoto Naoki 
Published: November 2022

AbstractImmune thrombocytopenia (ITP) and chronic myeloid leukemia (CML) are rarely observed concurrently. Here we report the case of a patient with ITP who developed CML that has been well controlled with tyrosine kinase inhibitor (TKI) therapy. A 55-year-old man was diagnosed with ITP. No cytogenetic abnormalities were found at the time of initial diagnosis. Four years later, he began corticosteroid therapy for progression of thrombocytopenia. At that time, the Philadelphia (Ph) chromosome was observed in 7 of 20 bone marrow (BM) cells, suggesting concurrent CML in the subclinical stage. Prednisolone resulted in a partial response. Seven months after starting prednisolone, he exhibited hematological features of CML with an increase in Ph-positive cells. TKI therapy with imatinib mesylate was started to treat CML and maintained at a daily dose of 400 mg. The patient achieved and sustained a major molecular response. His platelet count also increased, enabling discontinuation of corticosteroid therapy. TKIs have been reported to show various immunological off-target effects. In this case, off-target effects of TKI might have improved ITP by suppressing the autoimmune response. Alternatively, reconstitution of immune systems by Ph-negative cells or cancellation of immunoreaction against CML could have exerted favorable effects on ITP.
National Regulation on Processing Data for Scientific Research Purposes and Biobanking Activities: Reflections on the Experience in Austria
Authors: Osiejewicz Joanna , Zherlitsyn Dmytro M. , Zadorozhna Svitlana M. , Tavolzhanskyi Oleksii V. , Dei Maryna O. 
Published: November 2022

Abstract The application of the latest technologies in biology and medicine has brought them to a qualitatively new level of possibilities. Worldwide, biobanking is actively developing through the creation of biobanks of various types and purposes, whose resources are used to solve therapeutic or scientific problems. Legal science remains an open question concerning the boundary that runs between the right to data protection and the scope of disclosure of data needed for medical purposes. In this article, the author considers peculiarities of data processing in the context of biobanking activity on the example of Austria and its national legislation. In addition, the article reveals features of the approaches of the European Court of Human Rights (ECtHR) and the Council of Europe to the issue of biobanking in general, its characteristics in the context of data, and legal regulation of this phenomenon in the national law of states. The author devoted an important part of the study to the role of Austria’s experience in the context of data processing for scientific purposes and the development of biobanking for a number of other European states. The aim of the article is to analyze the Austrian legislation on data processing for scientific research and biobanking, the attitude of the Council of Europe to this phenomenon, and the practice of the ECtHR, as well as to consider the impact of the current world situation on these activities. The leading method of research used in the article is the formal-legal method. The article analyzes the Austrian law in the context of data processing in medical research, the relationship of the specifics of personal data protection, and the need to disclose them for scientific purposes. The author pays special attention to the influence of Austrian law on the legislation of other countries, which is reflected in the conclusions to the article. In addition, based on an analysis of the application of the Austrian experience to the legislation of Poland and Ukraine, the author points out the necessary changes that should be made in the laws of these countries.
Three grades of iconicity in perception
Authors: Lyons Jack C. 
Published: November 2022

AbstractPerceptual representations are sometimes said to be iconic, or picture-like. But what does this mean, and is it true? I suggest that the most fruitful way to understand iconicity is in terms of similarity, but there are three importantly different grades of similarity that that might hold between perceptual representations and their objects, and these should be distinguished. It is implausible that all perceptual representations achieve even the weakest grade of iconicity, but I speculatively suggest a “Kantian” view, whereby all perceptual representation involves fillers placed in a “strongly iconic” spatial framework. Those fillers will likely be hybrid structures, with varying grades of iconicity combined with non-iconic elements.
Govtech against corruption: What are the integrity dividends of government digitalization?
Authors: Santiso Carlos 
Published: November 2022

Abstract
Does digitalization reduce corruption? What are the integrity benefits of government digitalization? While the correlation between digitalization and corruption is well established, there is less actionable evidence on the integrity dividends of specific digitalization reforms on different types of corruption and the policy channels through which they operate. These linkages are especially relevant in high corruption risk environments. This article unbundles the integrity dividends of digital reforms undertaken by governments around the world, accelerated by the pandemic. It analyzes the rise of data-driven integrity analytics as promising tools in the anticorruption space deployed by tech-savvy integrity actors. It also assesses the broader integrity benefits of the digitalization of government services and the automation of bureaucratic processes, which contribute to reducing bribe solicitation risks by front-office bureaucrats. It analyzes in particular the impact of digitalization on social transfers. It argues that government digitalization can be an implicit yet effective anticorruption strategy, with subtler yet deeper effects, but there needs to be greater synergies between digital reforms and anticorruption strategies.
POLYHEDRAL COMPLETENESS OF INTERMEDIATE LOGICS: THE NERVE CRITERION
Authors: ADAM-DAY SAM , BEZHANISHVILI NICK , GABELAIA DAVID , MARRA VINCENZO 
Published: November 2022

AbstractWe investigate a recently devised polyhedral semantics for intermediate logics, in which formulas are interpreted in n-dimensional polyhedra. An intermediate logic is polyhedrally complete if it is complete with respect to some class of polyhedra. The first main result of this paper is a necessary and sufficient condition for the polyhedral completeness of a logic. This condition, which we call the Nerve Criterion, is expressed in terms of Alexandrov’s notion of the nerve of a poset. It affords a purely combinatorial characterisation of polyhedrally complete logics. Using the Nerve Criterion we show, easily, that there are continuum many intermediate logics that are not polyhedrally complete but which have the finite model property. We also provide, at considerable combinatorial labour, a countably infinite class of logics axiomatised by the Jankov–Fine formulas of ‘starlike trees’ all of which are polyhedrally complete. The polyhedral completeness theorem for these ‘starlike logics’ is the second main result of this paper.
A Step Back and to the Right: Gendered Backlash, Partisanship, and Cynicism in Brazil’s Recent Reactionary Turn
Authors: Pagliarini Andre 
Published: November 2022

This essay reviews the following works:Women’s Empowerment and Disempowerment in Brazil: The Rise and Fall of President Dilma Rousseff. By Pedro A. G. dos Santos and Farida Jalalzai. Philadelphia: Temple University Press, 2021. Pp. 213. $91.05 hardcover. ISBN: 9781439916179.A Horizon of (Im)possibilities: A Chronicle of Brazil’s Conservative Turn. Edited by Katerina Hatzikidi and Eduardo Dullo. London: University of London Press, 2021. Pp. 195. $35.00 paperback. IBSN: 9781908857897.Cynical Citizenship: Gender, Regionalism, and Political Subjectivity in Porto Alegre, Brazil. By Benjamin Junge. Albuquerque: University of New Mexico Press, 2018. Pp. xi + 304. $64.70 hardcover. ISBN: 9780826359445.Precarious Democracy: Ethnographies of Hope, Despair, and Resistance in Brazil. Edited by Benjamin Junge, Sean T. Mitchell, Alvaro Jarrín, and Lucia Cantero. New Brunswick, NJ: Rutgers University Press, 2021. Pp. 238. $39.95 paperback. ISBN: 9781978825659.O Brasil dobrou à direita: Uma radiografia da eleição de Bolsonaro em 2018. By Jairo Nicolau. Rio de Janeiro: Zahar, 2019. Pp. 144. $23.04 paperback. ISBN: 9788537818886.Dilma’s Downfall: The Impeachment of Brazil’s First Woman President and the Pathway to Power for Jair Bolsonaro’s Far-Right. By Peter Prengaman and Mauricio Savarese. New York: Associated Press. Pp. 274. $14.52 paper. ISBN: 9781735845999.Gender and Representation in Latin America. Edited by Leslie A. Schwindt-Bayer. New York: Oxford University Press, 2018. Pp. xv + 352. $38.95 paper. ISBN: 9780190851231.Democracy against Parties: The Divergent Fates of Latin America’s New Left Contenders. By Brandon Van Dyck. Pittsburgh: University of Pittsburgh Press, 2021. Pp. 288. $55.00 hardcover. ISBN: 9780822946946.
Major neurocognitive psychosis: a novel schizophrenia endophenotype class that is based on machine learning and resembles Kraepelin’s and Bleuler’s conceptions
Authors: Maes Michael 
Published: November 2022

AbstractThe purpose of this study is to describe how to use the precision nomothetic psychiatry approach to (a) delineate the associations between schizophrenia symptom domains, including negative symptoms, psychosis, hostility, excitation, mannerism, formal thought disorders, psychomotor retardation (PHEMFP), and cognitive dysfunctions and neuroimmunotoxic and neuro-oxidative pathways and (b) create a new endophenotype class based on these features. We show that all symptom domains (negative and PHEMFP) may be used to derive a single latent trait called overall severity of schizophrenia (OSOS). In addition, neurocognitive test results may be used to extract a general cognitive decline (G-CoDe) index, based on executive function, attention, semantic and episodic memory, and delayed recall scores. According to partial least squares analysis, the impacts of adverse outcome pathways (AOPs) on OSOS are partially mediated by increasing G-CoDe severity. The AOPs include neurotoxic cytokines and chemokines, oxidative damage to proteins and lipids, IgA responses to neurotoxic tryptophan catabolites, breakdown of the vascular and paracellular pathways with translocation of Gram-negative bacteria, and insufficient protection through lowered antioxidant levels and impairments in the innate immune system. Unsupervised machine learning identified a new schizophrenia endophenotype class, named major neurocognitive psychosis (MNP), which is characterised by increased negative symptoms and PHEMFP, G-CoDe and the above-mentioned AOPs. Based on these pathways and phenome features, MNP is a distinct endophenotype class which is qualitatively different from simple psychosis (SP). It is impossible to draw any valid conclusions from research on schizophrenia that ignores the MNP and SP distinctions.