bluuebunny/crossref_metadata_2025_split huggingface dataset:
Second response theory: a theoretical formalism for the propagation of quantum superpositions
Authors: Mosquera Martín A 
Published: September 2023

Abstract
The propagation of general electronic quantum states provides information of the interaction of molecular systems with external driving fields. These can also offer understandings regarding non-adiabatic quantum phenomena. Well established methods focus mainly on propagating a quantum system that is initially described exclusively by the ground state wavefunction. In this work, we expand a previously developed size-extensive formalism within coupled cluster theory, called second response theory, so it propagates quantum systems that are initially described by a general linear combination of different states, which can include the ground state, and show how with a special set of time-dependent cluster operators such propagations are performed. Our theory shows strong consistency with numerically exact results for the determination of quantum mechanical observables, probabilities, and coherences. We discuss unperturbed non-stationary states within second response theory and their ability to predict matrix elements that agree with those found in linear and quadratic response theories. This work also discusses an approximate regularized methodology to treat systems with potential instabilities in their ground-state cluster amplitudes, and compares such approximations with respect to reference results from standard unitary theory.
Probing reaction channels via reinforcement learning
Authors: Liang Senwei , Singh Aditya N , Zhu Yuanran , Limmer David T , Yang Chao 
Published: September 2023

Abstract
Chemical reactions are dynamical processes involving the correlated reorganization of atomic configurations, driving the conversion of an initial reactant into a result product. By virtue of the metastability of both the reactants and products, chemical reactions are rare events, proceeding fleetingly. Reaction pathways can be modelled probabilistically by using the notion of reactive density in the phase space of the molecular system. Such density is related to a function known as the committor function, which describes the likelihood of a configuration evolving to one of the nearby metastable regions. In theory, the committor function can be obtained by solving the backward Kolmogorov equation (BKE), which is a partial differential equation (PDE) defined in the full dimensional phase space. However, using traditional methods to solve this problem is not practical for high dimensional systems. In this work, we propose a reinforcement learning based method to identify important configurations that connect reactant and product states along chemical reaction paths. By shooting multiple trajectories from these configurations, we can generate an ensemble of states that concentrate on the transition path ensemble. This configuration ensemble can be effectively employed in a neural network-based PDE solver to obtain an approximation solution of a restricted BKE, even when the dimension of the problem is very high. The resulting solution provides an approximation for the committor function that encodes mechanistic information for the reaction, paving a new way for understanding of complex chemical reactions and evaluation of reaction rates.
Ternary Łukasiewicz logic using memristive devices
Authors: Bengel Christopher , Liu Feng , Chen Ziang , Zhao Xianyue , Waser Rainer , Schmidt Heidemarie , Du Nan , Menzel Stephan 
Published: September 2023

Abstract
Memristive devices based on the Valence Change Mechanism (VCM) are promising devices for storage class memory, neuromorphic computing and logic-in-memory (LIM) applications. They are suited for such a wide range of applications, due to their possibility for extreme dense integration, low power consumption and multilevel capabilities. Through LIM concepts, Boolean logic operations can be performed directly in memory. In many of these concepts, the resistance state of the device is interpreted as the logical input and output of the logic function, which is why these concepts are called ‘stateful’ logic. Most of the proposed ideas, however, are defined based on only binary switching VCM devices and neglect their multi-level capabilities. Extending LIM concepts towards multinary logic, e.g. a ternary logic, would increase the data density inside the memory array and reduce the number of devices required to perform a certain operation. In this work, we discuss two possibilities of realizing a ternary logic based on the analog switching in the RESET or in the SET direction. For both directions we verify the logic functionality by showing the basic operations of implication, negation and false operation, which together form a functionally complete logic. Additionally, for both switching directions, we discuss a 41-Trit (

≈

64-Bit) addition. For all investigations the physics-based compact model JART VCM v1b is used, which has been verified on the RESET direction multilevel properties of the TaO

x

devices.
Methodological aspects in assessing the whole-life global warming potential of wood-based building materials: comparing exterior wall structures insulated with wood shavings
Authors: Joensuu Tuomo , Tuominen Eero , Vinha Juha , Saari Arto 
Published: September 2023

Abstract
Due to the heavy environmental impacts on the building industry, wood-based building materials are gaining interest. They may improve the indoor climate and have a low carbon footprint compared to steel and concrete structures. This study provides knowledge on the carbon footprint of wood shavings (WSs) and WSs improved with clay as insulation materials. The study defines the lifecycle emissions of five different wall structures, of which two are of conventional type in the Finnish context and three with WSs as insulation. The study follows the EN standards on buildings’ life cycle assessment with a streamlined approach and discusses the applicability of the method in the normative context. The study analyzes multiple methodological aspects, including biogenic carbon, co-product allocation, and defining the functional unit in wall structure comparison. In the base case, the exterior wall using WS as insulation provided the lowest GHG emissions of the compared structures. The study finds global warming potential (GWP) of WSs moderately sensitive to allocation choices and energy sources used in the drying of WSs with clay, while the End-of-Life treatment option can radically change the results in biogenic GWP. From the perspective of applying the buildings’ life cycle assessment in the normative context, there is a call for further research for controlling uncertainties in modeling End-of-Life options of biogenic materials.
Association of socioeconomic status with 30-day survival following out-of-hospital cardiac arrest in Scotland, 2011–2020
Authors: Bijman Laura A E , Chamberlain Rosemary C , Clegg Gareth , Kent Andrew , Halbesma Nynke 
Published: September 2023

Abstract

Background and aims
The aim of this study was to investigate the crude and adjusted association of socioeconomic status with 30-day survival after out-of-hospital cardiac arrest (OHCA) in Scotland and to assess whether the effect of this association differs by sex or age.

Methods
This is a population-based, retrospective cohort study, including non-traumatic, non-Emergency Medical Services witnessed patients with OHCA where resuscitation was attempted by the Scottish Ambulance Service, between 1 April 2011 and 1 March 2020. Socioeconomic status was defined using the Scottish Index of Multiple Deprivation (SIMD). The primary outcome was 30-day survival after OHCA. Crude and adjusted associations of SIMD quintile with 30-day survival after OHCA were estimated using logistic regression. Effect modification by age and sex was assessed by stratification.

Results
Crude analysis showed lower odds of 30-day survival in the most deprived quintile relative to least deprived [odds ratio (OR) 0.74, 95% confidence interval (CI) 0.63–0.88]. Adjustment for age, sex, and urban/rural residency decreased the relative odds of survival further (OR 0.56, 95% CI 0.47–0.67). The strongest association was observed in males &lt;45 years old. Across quintiles of increasing deprivation, evidence of decreasing trends in the proportion of those presenting with shockable initial cardiac rhythm, those receiving bystander cardiopulmonary resuscitation, and 30-day survival after OHCA were found.

Conclusions
Socioeconomic status is associated with 30-day survival after OHCA in Scotland, favouring people living in the least deprived areas. This was not explained by confounding due to age, sex, or urban/rural residency. The strongest association was observed in males &lt;45 years old.
Virologs, viral mimicry, and virocell metabolism: the expanding scale of cellular functions encoded in the complex genomes of giant viruses
Authors: Moniruzzaman Mohammad , Erazo Garcia Maria Paula , Farzad Roxanna , Ha Anh D , Jivaji Abdeali , Karki Sangita , Sheyn Uri , Stanton Joshua , Minch Benjamin , Stephens Danae , Hancks Dustin C , Rodrigues Rodrigo A L , Abrahao Jonatas S , Vardi Assaf , Aylward Frank O 
Published: September 2023

Abstract
The phylum Nucleocytoviricota includes the largest and most complex viruses known. These “giant viruses” have a long evolutionary history that dates back to the early diversification of eukaryotes, and over time they have evolved elaborate strategies for manipulating the physiology of their hosts during infection. One of the most captivating of these mechanisms involves the use of genes acquired from the host—referred to here as viral homologs or “virologs”—as a means of promoting viral propagation. The best-known examples of these are involved in mimicry, in which viral machinery “imitates” immunomodulatory elements in the vertebrate defense system. But recent findings have highlighted a vast and rapidly expanding array of other virologs that include many genes not typically found in viruses, such as those involved in translation, central carbon metabolism, cytoskeletal structure, nutrient transport, vesicular trafficking, and light harvesting. Unraveling the roles of virologs during infection as well as the evolutionary pathways through which complex functional repertoires are acquired by viruses are important frontiers at the forefront of giant virus research.
Acute Intermittent Porphyria in a Burn Patient: Case Study and Review of the Literature
Authors: Credo Roald , Kesey Jennifer , Bharadia Deepak , Griswold John , Pang Alan 
Published: September 2023

Abstract
Healthcare providers evaluating patients presenting with neurological, visceral, or cutaneous symptoms that are disproportionate to the expected severity may need to consider porphyria in the differential. Porphyria is an inherited condition in which toxic metabolites of the heme pathway are increased. Carriers of porphyrias are asymptomatic and will not present with classical symptoms, nor will levels be elevated, until the disease is induced by certain drugs, hormones, or idiopathic causes such as the stress of trauma. Acute intermittent porphyria (AIP), a form of acute porphyria, is a rare autosomal dominant disease that results in a dysfunctional porphobilinogen deaminase. This consequently increases neurotoxic porphobilinogen and subsequent increase in δ-aminolevulinic acid. Both of these metabolites cause neurovisceral symptoms that afflict the patient in acute attacks. We present a rare case of AIP manifested in a burn patient suffering a burn injury. The patient presented with symptoms indicative of AIP, including altered mental status and abdominal pain accompanied with a chronic history of alcoholism and smoking. A negative work-up, including imaging and findings of associated manifestations consistent with AIP led to a discovery of elevated porphyrins. The patient’s course and death due to his injuries gives insight into the presentation of AIP in a burn patient.
Reevaluating Plato’s legacy to education: an introduction to the suite
Authors: Yacek Douglas W 
Published: September 2023

Abstract
Plato scholarship in education is currently experiencing a marked renaissance. In the last half decade, dozens of articles have been published in the journals of philosophy of education that engage with Plato’s educational vision, and several book-length treatments have appeared at major publishing houses alongside these articles. From one perspective, this development might seem surprising, even baffling. Plato, as we hear from countless, seemingly reliable sources, is a metaphysician par excellence. He believes in a dubious realm of forms that somehow stands above or behind the things we see in the world. He claims that all learning is ultimately recollection from a time in which our soul resided in this realm, before it was infused into our bodies at birth. He is a trenchant critic of democracy. Given these credentials, it would seem that Plato has very little to say to us in post-metaphysical democratic societies and especially to teachers who hope to have a bit more success than Socrates. And yet the authors of the aforementioned works on Plato argue the very opposite. Plato is an indispensable conversation partner for contemporary educational philosophy and theory, they maintain, and overlooking his insights would seriously impoverish our conceptions and methods of education. This suite of papers aims to provide a helpful overview of the contemporary debate concerning Plato’s educational legacy and show that it provides important guidance for educators today.
The limits of Platonic modelling and moral education: a view from the classroom
Authors: Berk Matthew J 
Published: September 2023

ABSTRACT
Educators are conflicted about whether school provides an appropriate space to teach ethics. Still, they want to develop the moral character of their students, and most of these efforts have used various citizenship values to address our frustration with students’ ‘lack of character’. Recently, a wave of work in the philosophy of education has rejuvenated discussion of Aristotelian virtue ethics, which forms the backbone for programmes that many schools are now adopting. Mark Jonas and Yoshiaki Nakazawa, however, argue that schools should revisit Plato’s pedagogical methods, as well. If educators want to develop virtue in students, they need to understand the mechanism behind moral development. Guided by Plato, they argue that expert teachers use psychological, pedagogical, and philosophical reasoning to induce epiphanies in students, then guide them through virtue-oriented rehabituation. The goal of this article is to explore the legitimacy of Jonas and Nakazawa’s Platonic theory. I begin by describing the state of modern democratic education and its relationship to teaching ethics. I argue that character development is the appropriate route educators should take but that Jonas and Nakazawa’s theory only gives educators a partial understanding of how to do so. They give a plausible model for how our best educators are effective, but we are left wanting a much more robust, instructive picture. I suggest that we need a broader overhaul of the way we view education in a modern democratic society; character development must proceed from a different normative picture of the individual’s place in society.
Moral education as the practice of virtue
Authors: Longa Rachel Ann 
Published: September 2023

AbstractThis article proposes to reconceive moral education on the model of spiritual practice. Such an education would be defined not by its content—that is, explicit instruction about moral rules or particular virtues—but rather by the form of its constituent activities. Drawing on the works of both Plato and Foucault, the article addresses questions about the epistemic complexity of virtue raised in Mark E. Jonas and Yoshiaka Nakzawa’s A Platonic Theory of Moral Education. It then goes on to suggest that the form of spiritual practice is uniquely suited to the cultivation of virtue understood on their Platonic model.
Unencapsulated thymoma: a case report
Authors: Yamamoto Saki , Mizutani Eiki , Morita Riichiro , Kodama Makoto , Abe Keiko , Yazawa Takuya 
Published: September 2023

Abstract
Thymomas, the most common mediastinal tumors, form capsules. Only a few reports have presented small thymomas without capsule formation, so-called microthymomas. Here, we report a case of an unencapsulated thymoma measuring 18 mm. A 42-year-old female presented with an anterior mediastinal tumor. Computed tomography revealed an 18-mm nodule in the anterior mediastinum. Magnetic resonance imaging revealed a solid tumor that was iso-intense on T1-weighted images and hypo-intense on T2-weighted images. Thoracoscopic partial thymectomy was performed. The histopathological diagnosis was a type B1 thymoma. The tumor was localized within the thymic tissue lacked a fibrous capsule and partially invaded the surrounding fat tissue. To our knowledge, this is the first report of an unencapsulated thymoma, except for microthymomas.
Bacteria isolated from explosive contaminated environments transform pentaerythritol tetranitrate (PETN) under aerobic and anaerobic conditions
Authors: Avila-Arias Helena , Casallas Francy-Carolina , Arbeli Ziv , García Gutiérrez Andrea , Fajardo Gomez Carlos Andres , Herrera Castillo Denis Yohana , Carvajal Ramirez Sandra , Tamayo-Figueroa Diana Paola , Benavides López de Mesa Joaquín , Roldan Fabio 
Published: September 2023

AbstractPentaerythritol tetranitrate (PETN) is a nitrate ester explosive that may be persistent with scarce reports on its environmental fate and impacts. Our main objective was to isolate and characterize bacteria that transform PETN under aerobic and anaerobic conditions. Biotransformation of PETN (100 mg L−1) was evaluated using mineral medium with (M + C) and without (M − C) additional carbon sources under aerobic conditions and with additional carbon sources under anaerobic conditions. Here, we report on the isolation of 12 PETN-transforming cultures (4 pure and 8 co-cultures) from environmental samples collected at an explosive manufacturing plant. The highest transformation of PETN was observed for cultures in M + C under aerobic conditions, reaching up to 91% ± 2% in 2 d. Under this condition, PETN biotransformation was observed in conjunction with the release of nitrites and bacterial growth. No substantial transformation of PETN (&lt;45%) was observed during 21 d in M − C under aerobic conditions. Under anaerobic conditions, five cultures could transform PETN (up to 52% ± 13%) as the sole nitrogen source, concurrent with the formation of two unidentified metabolites. PETN-transforming cultures belonged to Alphaproteobacteria, Betaproteobacteria, Gammaproteobacteria, and Actinobacteria. In conclusion, we isolated 12 PETN-transforming cultures belonging to diverse taxa, suggesting that PETN transformation is phylogenetically widespread.
Classifications of Fermi-LAT unassociated sources in multiple machine learning methods
Authors: Zhu K R , Chen J M , Zheng Y G , Zhang L 
Published: September 2023

ABSTRACT
The classifications of Fermi-LAT unassociated sources are studied using multiple machine learning (ML) methods. The update data from 4FGL-DR3 are divided into high Galactic latitude (HGL, Galactic latitude |b| &gt; 10°) and low Galactic latitude (LGL, |b| ≤ 10°) regions. In the HGL region, a voting ensemble of four binary ML classifiers achieves a 91 per cent balanced accuracy. In the LGL region, an additional Bayesian–Gaussian (BG) model with three parameters is introduced to eliminate abnormal soft spectrum active galactic nuclei (AGNs) from the training set and ML-identified AGN candidates, a voting ensemble of four ternary ML algorithms reach an 81 per cent balanced accuracy. And then, a catalogue of Fermi-LAT all-sky unassociated sources is constructed. Our classification results show that (i) there are 1037 AGN candidates and 88 pulsar candidates with a balanced accuracy of 0.918 ± 0.029 in HGL region, which are consistent with those given in previous all-sky ML approaches; and (ii) there are 290 AGN-like candidates, 135 pulsar-like candidates, and 742 other-like candidates with a balanced accuracy of 0.815 ± 0.027 in the LGL region, which are different from those in previous all-sky ML approaches. Additionally, different training sets and class weights were tested for their impact on classifier accuracy and predicted results. The findings suggest that while different training approaches can yield similar model accuracy, the predicted numbers across different categories can vary significantly. Thus, reliable evaluation of the predicted results is deemed crucial in the ML approach for Fermi-LAT unassociated sources.
Mysterious non-detection of HeI (23S) transit absorption of GJ436b
Authors: Rumenskikh M S , Khodachenko M L , Shaikhislamov I F , Miroshnichenko I B , Berezutsky A G , Shepelin A V , Dwivedi N K 
Published: September 2023

Abstract
Possible reasons for the non-detection of absorption in the metastable HeI(23S) line at transit observations of warm Neptune GJ436b, in spite of the well pronounced strong absorption features measured earlier in Lyα for this planet, are investigated. We perform numeric simulations of the escaping upper atmosphere of this planet and its HeI(23S) triplet absorption with a global 3D multi-fluid self-consistent hydrodynamic model. By fitting the model parameters to the lowest detection level of absorption measurements, we constrain an upper limit the He/H abundance three times smaller than the solar value. We demonstrate that neither the significant changes of the stellar wind related with possible stellar coronal mass ejections (CMEs), or possible variations in the stellar ionization radiation, nor the presence of heavy trace elements have crucial effect on the absorption at the 10 830 Å line of HeI(23S) triplet. The main reason of weak signature is that the region populated by the absorbing metastable helium is rather small (&lt;3Rp), as well as the small size of the planet itself, in comparison to the host star. We show that the radiation pressure force acting on the HeI(23S) atoms spreads them along the line of sight and around the planet, thus further reducing peak absorption.
CzSL: Learning from citizen science, experts, and unlabelled data in astronomical image classification
Authors: Jiménez Manuel , Alfaro Emilio J , Torres Torres Mercedes , Triguero Isaac 
Published: September 2023

ABSTRACT
Citizen science is gaining popularity as a valuable tool for labelling large collections of astronomical images by the general public. This is often achieved at the cost of poorer quality classifications made by amateur participants, which are usually verified by employing smaller data sets labelled by professional astronomers. Despite its success, citizen science alone will not be able to handle the classification of current and upcoming surveys. To alleviate this issue, citizen science projects have been coupled with machine learning techniques in pursuit of a more robust automated classification. However, existing approaches have neglected the fact that, apart from the data labelled by amateurs, (limited) expert knowledge of the problem is also available along with vast amounts of unlabelled data that have not yet been exploited within a unified learning framework. This paper presents an innovative learning methodology for citizen science capable of taking advantage of expert- and amateur-labelled data, featuring a transfer of labels between experts and amateurs. The proposed approach first learns from unlabelled data with a convolutional auto-encoder and then exploits amateur and expert labels via the pre-training and fine-tuning of a convolutional neural network, respectively. We focus on the classification of galaxy images from the Galaxy Zoo project, from which we test binary, multiclass, and imbalanced classification scenarios. The results demonstrate that our solution is able to improve classification performance compared to a set of baseline approaches, deploying a promising methodology for learning from different confidence levels in data labelling.