bluuebunny/crossref_metadata_2025_split huggingface dataset:
From Collaborative Construction, Through Whole-Class Presentation, to a Posteriori Reflection: Proof Progression in a Topology Classroom
Authors: Kontorovich Igor’ , Greenwood Sina 
Published: June 2023

AbstractComing from a social perspective, we introduce a classroom organizational frame, where students’ proofs progress from collaborative construction in small groups, through whole-class presentation at the board by one of the constructors, to a posteriori reflection. This design is informed by a view on proofs as successive social processes in the mathematics community. To illustrate opportunities for mathematics learning of proof progressions, we present a commognitive analysis of a single proof from a small course in topology. The analysis illuminates the processes through which students’ proof was restructured, developed previously unarticulated elements, and became more formal and elaborate. Within this progression, the provers developed their mathematical discourses and the course teacher seized valuable teachable moments. The findings are discussed in relation to key themes within the social perspective on proof.
Influence of adaptive coupling points on coalition formation in multi-energy systems
Authors: Schrage Rico , Nieße Astrid 
Published: June 2023

AbstractThe share and variants of coupling points (CPs) between different energy carrier networks (such as the gas or power grids) are increasing, which results in the necessity of the analysis of so-called multi-energy systems (MES). One approach is to consider the MES as a graph network, in which coupling points are modeled as edges with energy efficiency as weight. On such a network, local coalitions can be formed using multi-agent systems leading to a dynamic graph partitioning, which can be a prerequisite for the efficient decentralized system operation. However, the graph can not be considered static, as the energy units representing CPs can shut down, leading to network decoupling and affecting graph partitions. This paper aims to evaluate the effect of network adaptivity on the dynamics of an exemplary coalition formation approach from a complex network point of view using a case study of a benchmark power network extended to an MES. This study shows: first, the feasibility of complex network modeling of MES as a cyber-physical system; second, how the coalition formation system behaves, how the coupling points impact this system, and how these impact metrics relate to the CP node attributes.
Conversion of carbonaceous materials into solid acids for tylosin mitigation: effect of preprocessing methods on the reactivity of sulfonation reaction
Authors: Wang Chunmei , Xie Qianqian , Dou Xiaomin , Zhang Lanxi , Yang Xiao 
Published: June 2023

AbstractCarbon-based solid acids have been successfully employed as acidic catalysts for pollutant mitigation in wastewater. To fully tap the potentials of commercially viable carbons for the preparation of solid acids and enhance their catalytic performances is a challenging problem. In this work, three commercialized carbons including biochar, activated carbon and graphite were preprocessed (ball-milling, Hummer exfoliation, HNO3 soaking, and microwave heating in HNO3, etc.), sulfonated, and evaluated as solid-acid catalysts for tylosin mitigation. Graphite-originated solid acid performed the best through a balling-milling preprocess, while biochar-originated solid acids behaved well under all preprocessing treatments, in which 40 mg L−1 of tylosin was mitigated within 8 min by 1 g L−1 of biochar-originated solid acids. The biochar solid acid through the ball-milling preprocess presented high total acidity and large amounts of –SO3H groups, due to dramatically increased surface area and the rise of activation groups (hydroxyl, alkyl and alkoxy groups, etc.) facilitating electrophilic reaction. In addition, decreased particle size and aromaticity and increased structural defects also contributed. Theoretical calculation of average local ionization energy (ALIE) of condensed aromatic model molecules with substituted activation groups confirmed the promoting effects on sulfonation from strong to weak were 8.40–9.06 eV. These findings have deepened the knowledge in tuning carbon surface chemistry for better sulfonation, thus strengthening catalytic degradation of tylosin. The value of this study is in pulling a clear thread for maneuvering solid-acid catalysts using carbons, which holds a novel promise for rationally functionalizing biochar-based catalysts for the remediation of macrolide antibiotics in polluted water.
Graphical Abstract
The effect of governance quality on future economic growth: an analysis and comparison of emerging market and developed economies
Authors: Misi Lopes Luana Enikő , Packham Natalie , Walther Ursula 
Published: June 2023

AbstractThis paper examines the influence of the six World Governance Indicators (WGIs), as defined by the World Bank, on the real GDP growth of five emerging markets, the BRICS (Brazil, Russia, India, China, and South Africa) countries, and three advanced economies, the United States, Germany and Japan. The analysis is based on a panel data set containing the six WGIs along with further macroeconomic variables (government debt, external debt, current account balance, trade balance, budget balance, foreign exchange rate and short-term interest rate), with annual data from 1996 to 2018. We find that regulatory quality has a positive impact on economic growth, an effect that remains stable across all robustness tests. This indicates that a sound regulatory environment stimulates economic growth. We also find a negative impact of rule of law on economic growth, but this effect is not robust. The literature, however, documents a negative effect from income to rule of law, expressing that higher income does not necessarily lead to a demand for better institutions. A principal component analysis on the WGIs shows that governance is diverse across countries, while stable over time. The first two PCs capture more than 95% of the WGIs variance and are able to cluster emerging and developed markets.
Simple fibrations in -surfaces
Authors: Coughlan Stephen , Pignatelli Roberto 
Published: June 2023

Abstract
We introduce the notion of a simple fibration in

$(1,2)$

-surfaces – that is, a hypersurface inside a certain weighted projective space bundle over a curve such that the general fibre is a minimal surface of general type with

$p_g=2$

and

$K^2=1$

. We prove that almost all Gorenstein simple fibrations over the projective line with at worst canonical singularities are canonical threefolds ‘on the Noether line’ with

$K^3=\frac 43 p_g-\frac {10}3$

, and we classify them. Among them, we find all the canonical threefolds on the Noether line that have previously appeared in the literature.
The Gorenstein simple fibrations over

${\mathbb {P}}^1$

are Cartier divisors in a toric

$4$

-fold. This allows to us to show, among other things, that the previously known canonical threefolds on the Noether line form an open subset of the moduli space of canonical threefolds, that the general element of this component is a Mori Dream Space and that there is a second component when the geometric genus is congruent to

$6$

modulo

$8$

; the threefolds in this component are new.
Extropy: Characterizations and dynamic versions
Authors: Toomaj Abdolsaeed , Hashempour Majid , Balakrishnan Narayanaswamy 
Published: June 2023

AbstractSeveral information measures have been proposed and studied in the literature. One such measure is extropy, a complementary dual function of entropy. Its meaning and related aging notions have not yet been studied in great detail. In this paper, we first illustrate that extropy information ranks the uniformity of a wide array of absolutely continuous families. We then discuss several theoretical merits of extropy. We also provide a closed-form expression of it for finite mixture distributions. Finally, the dynamic versions of extropy are also discussed, specifically the residual extropy and past extropy measures.
Personality change in a trial of psilocybin therapy v. escitalopram treatment for depression
Authors: Weiss Brandon , Ginige Induni , Shannon Lu , Giribaldi Bruna , Murphy-Beiner Ashleigh , Murphy Roberta , Baker-Jones Michelle , Martell Jonny , Nutt David J. , Carhart-Harris Robin L. , Erritzoe David 
Published: June 2023

AbstractBackgroundPsilocybin Therapy (PT) is being increasingly studied as a psychiatric intervention. Personality relates to mental health and can be used to probe the nature of PT's therapeutic action.MethodsIn a phase 2, double-blind, randomized, active comparator controlled trial involving patients with moderate-to-severe major depressive disorder, we compared psilocybin with escitalopram, over a core 6-week trial period. Five-Factor model personality domains, Big Five Aspect Scale Openness aspects, Absorption, and Impulsivity were measured at Baseline, Week 6, and Month 6 follow-up.ResultsPT was associated with decreases in neuroticism (B= −0.63), introversion (B= −0.38), disagreeableness (B= −0.47), impulsivity (B= −0.40), and increases in absorption (B= 0.32), conscientiousness (B= 0.30), and openness (B= 0.23) at week 6, with neuroticism (B= −0.47) and disagreeableness (B= −0.41) remaining decreased at month 6. Escitalopram Treatment (ET) was associated with decreases in neuroticism (B= −0.38), disagreeableness (B= −0.26), impulsivity (B= −0.35), and increases in openness (B= 0.28) at week 6, with neuroticism (B= −0.46) remaining decreased at month 6. No significant between-condition differences were observed.ConclusionsPersonality changes across both conditions were in a direction consistent with improved mental health. With the possible exception of trait absorption, there were no compelling between-condition differences warranting conclusions regarding a selective action of PT (v.ET) on personality; however, post-ET changes in personality were significantly moderated by pre-trial positive expectancy for escitalopram, whereas expectancy did not moderate response to PT.
Abnormalities in brain structure following childhood unpredictability: a mechanism underlying depressive and anxiety symptoms
Authors: Wang Zhengxinyue , Cao Xinyu , Zheng Xiaoyu , Chen Yuanyuan , Zhu Jianjun 
Published: June 2023

AbstractBackgroundChildhood adversity is associated with abnormalities in brain structure, but this association has not been tested for childhood unpredictability, one form of adversity. We studied whether abnormalities in gray matter volume (GMV) could be a mechanism linking childhood unpredictability and psychopathology, over and above the effect of childhood trauma.MethodsParticipants were 158 right-handed healthy young adults (aged 17–28 years,M= 22.07,s.d.= 2.08; 66.46% female) who underwent structural magnetic resonance imaging measurements and provided retrospective reports of childhood unpredictability. The anxiety and depression subscales of the self-report Brief Symptom Inventory-53 were used to index psychopathology.ResultsWhole-brain voxel-based morphometric analyses showed that after controlling for the effect of childhood trauma, childhood unpredictability was correlated with greater GMV in bilateral frontal pole, bilateral precuneus, bilateral postcentral gyrus, right hemisphere of fusiform, and lingual gyrus, and left hemisphere of ventrolateral prefrontal cortex as well as occipital gyrus. Greater GMV in bilateral frontal pole, bilateral precuneus, and bilateral postcentral gyrus mediated associations between unpredictability and symptoms of depression and anxiety.ConclusionsThe findings suggest that childhood unpredictability could exact unique effects on neural development, over and above the effect of childhood trauma. These findings are relevant for understanding the occurrence of psychopathology following childhood unpredictability and have implications for intervention.
Psychiatric comorbidity: a concept in need of a theory
Authors: Nordgaard Julie , Nielsen Kasper Møller , Rasmussen Andreas Rosén , Henriksen Mads Gram 
Published: June 2023

AbstractDespite being a relatively new concept, psychiatric comorbidity, i.e. the co-occurrence of two or more mental disorders, has become widespread in clinical practice and psychiatric research. In this article, we trace the origin of the concept of psychiatric comorbidity, discuss the conceptual literature and point to basic problems concerning inadequate definition of the concept, differential diagnostic issues, and reification of mental disorders. We illustrate how these problems may have consequences for diagnostic assessment in current clinical practice and psychiatric research. To address some of the problems related to psychiatric comorbidity, we discuss potential principles for assessing psychiatric comorbidity. Inspired by Feinstein's original concept of comorbidity in general medicine and his differential diagnostic principles, we emphasize the importance of independence of mental disorders when assessing psychiatric comorbidity. We suggest that knowledge of trait v. state conditions and of the multitudinous clinical manifestations beyond what is captured in the diagnostic manuals may be helpful for assessing the independence of mental disorders and thus psychiatric comorbidity. We further argue that a more hierarchical diagnostic system and explicit exclusionary rules could improve clinical practice and research by reducing informational complexity and combating unwarranted psychiatric comorbidity.
Generative Pre-Trained Transformers (GPT) and Space Health: A Potential Frontier in Astronaut Health During Exploration Missions
Authors: Waisberg Ethan , Ong Joshua , Masalkhi Mouayad , Zaman Nasif , Kamran Sharif Amit , Sarker Prithul , Lee Andrew G. , Tavakkoli Alireza 
Published: June 2023

AbstractIn anticipation of space exploration where astronauts are traveling away from Earth, and for longer durations with an increasing communication lag, artificial intelligence (AI) frameworks such as large language learning models (LLMs) that can be trained on Earth can provide real-time answers. This emerging technology may be helpful for acute medical emergencies, particularly in austere and distant space environments. In this manuscript, we provide an overview of generative pre-trained transformer (GPT) technology, a rapidly emerging AI technology, and implications, considerations, and limitations of such technology for space health.
Decoupling: adaptation of a treatment for body-focused repetitive behaviour to Tourette syndrome. A case report
Authors: Moritz Steffen , Penney Danielle , Schmotz Stella 
Published: June 2023

AbstractAims:Tourette syndrome (TS) is a neurological condition; its etiology is not yet fully understood. Cognitive behavioural therapy with habit reversal training is the recommended first-line treatment, but is not effective in all patients. This is the first report examining the usefulness of decoupling, a behavioural self-help treatment originally developed for patients with body-focused repetitive behaviours, in a patient with TS.Method:Patient P.Z. showed 10 motor and three vocal tics on the Adult Tic Questionnaire (ATQ) before treatment. He was taught decoupling by the first author.Results:The application of decoupling led to a reduction of P.Z.’s eye tics, which was one of his first and most enduring and severe tics. It was not effective for other areas. Quality of life and depression improved, which P.Z. attributed to the improvement of his tics.Conclusion:Decoupling may be adopted as an alternative, when habit reversal training is not feasible. Future research, preferably using a controlled design with a large sample, may elucidate whether decoupling is only effective for tics relating to the eyes, the most common symptom in tic disorder/TS, or whether its effects extend to other symptoms.
Moral judgments in native, regional, and foreign languages
Authors: Peressotti Francesca , Lorenzoni Anna , Miozzo Michele 
Published: June 2023

AbstractWe examined moral judgments in three types of language: a native national language (Italian), a non-native foreign language (English), and a native regional language (Venetian, oral and colloquial). We used the Moral Foundation Questionnaire to investigate cross-linguistic differences in multiple aspects of morality. Higher scores in the Harm, Purity and Fairness dimensions were obtained in the foreign and the regional language with respect to the national language. In addition, higher scores in the Ingroup dimension were obtained in the foreign language with respect to the native language. The effects of language on morality can thus be quite pervasive, involving a variety of aspects of morality. The differences we observed across these languages are explained in terms of their sociolinguistics – specifically, the greater use of national languages with moral values and beliefs. It is proposed that language effects arise because the language that is used activates information associated with it.
A theory of legal apparitions: regulation and escape in Indian divorces
Authors: Goyal Yugank 
Published: June 2023

AbstractWhen people do not approach a formal court of law to settle their disputes, and cannot enter into out-of-court settlements either, what do they do? I find that people install court-like processes which mimetically follow the court procedures, executing the settlement as if the decision were rendered officially. By examining such practices in the case of divorce-related disputes in India, I advance a theory of legal apparitions, a phenomenon in which cosmetic mimicry of legal processes creates a new form of extra-legal resolution. This is likely to prevail in societies where access to justice is hindered due to socio-institutional factors and customary forms of adjudication are not possible (sometimes because of state law’s design). This idea can be used to explain a range of practices observed in South Asian societies, where people’s imagination of, and interaction with, legal apparatuses creates new forms of institutions.
Are We Recording? Putting Embayment Speedometry to the Test Using High Pressure‐Temperature Decompression Experiments
Authors: Hosseini Behnaz , Myers Madison L. , Watkins James M. , Harris Megan A. 
Published: June 2023

AbstractDespite its increasing application to estimate magma decompression rates for explosive eruptions, the embayment speedometer has long awaited critical experimental evaluation. We present the first experimental results on the fidelity of natural quartz‐hosted embayments in rhyolitic systems as recorders of magma decompression. We conducted two high pressure‐temperature isobaric equilibrium experiments and 13 constant‐rate, continuous isothermal decompression experiments in a cold‐seal pressure vessel where we imposed rates from 0.005 to 0.05 MPa s−1 in both H2O‐saturated and mixed‐volatile (H2O + CO2)‐saturated systems. In both equilibrium experiments, we successfully re‐equilibrated embayment melt to new fluid compositions at 780°C and 150 MPa, confirming the ability of embayments to respond to and record changing environmental conditions. Of the 32 glassy embayments recovered, seven met the criteria previously established for successful geospeedometry and were thus analyzed for their volatile (H2O ± CO2) concentrations, with each producing a good model fit and recovering close to the imposed decompression rate. In one H2O‐saturated experiment, modeling H2O concentration gradients in embayments from three separate crystals resulted in best‐fit decompression rates ranging from 0.012 to 0.021 MPa s−1, in close agreement with the imposed rate (0.015 MPa s−1) and attesting to the reproducibility of the technique. For mixed‐volatile experiments, we found that a slightly variable starting fluid composition (2.4–3.5 wt.% H2O at 150 MPa) resulted in good fits to both H2O + CO2 profiles. Overall our experiments provide confidence that the embayment is a robust recorder of constant‐rate, continuous decompression, with the model successfully extracting experimental conditions from profiles representing nearly an order of magnitude variation (0.008–0.05 MPa s−1) in decompression rate.
Variability in Biomass Burning Emissions Weakens Aerosol Forcing Due To Nonlinear Aerosol‐Cloud Interactions
Authors: Heyblom Kyle B. , Singh Hansi A. , Rasch Philip J. , Hirasawa Haruki 
Published: June 2023

AbstractThe magnitude of the aerosol forcing remains among the largest unknowns when assessing climate sensitivity over the historical period. Here, we quantify and explain a crucial but often overlooked source of uncertainty in aerosol forcing: the temporal variability of aerosol emissions. We show that time‐variability in biomass burning (BB) emissions weakens the time‐averaged total aerosol forcing, particularly in the Northern Hemisphere mid‐ to high‐latitudes. BB emissions variability produces weaker (less negative) mean effective radiative forcing (ERF) compared to scenarios with no interannual variability in emissions. Satellite‐estimated BB emissions (and associated variability) result in a June–September absolute ERF (relative to zero BB emissions) of −7.7 W m−2 from 50° to 70°N, compared to −10.4 W m−2 when no emissions variability is used in the Community Earth System Model version 2 (CESM2). This difference in forcing is attributable to nonlinear aerosol‐cloud interactions. Aerosol forcing will be overestimated (i.e., more negative) if emissions are temporally‐smoothed.
An Evaluation of Beam Configuration to Detect the Plasma Vector Velocity: A Simulation Method Based on the SYISR System
Authors: Jin Yuyan , Zhao Biqiang , Yue Xinan , Ning Baiqi , Ding Feng , Zhou Xu , Hao Honglian , Zeng Lingqi 
Published: June 2023

AbstractMeasuring the plasma motion vector field accurately is beneficial to understanding the physical processes in the ionosphere. As a newly built advanced modular phase array Incoherent Scatter Radar in Sanya (SYISR), SYISR can measure the line‐of‐sight (LOS) velocity of ion drift in multiple directions, potentially yielding the spatial distribution of ionospheric plasma drift at low latitudes in East Asia. Compared to the traditional ISR, it can operate continuously for a long‐time and perform with fast and flexible scanning. This paper evaluates different beam configurations and inversion methods for vector ion velocity detection by comparing the vector ion velocities input in the forward modeling and derived by inversion. For the mono‐static SYISR, the all‐sky scan mode is suitable for observing the distribution of vector ion velocity with height, and the fine scan mode is suitable for observing the spatial distribution of two components of vector ion drift perpendicular to the magnetic field in the northern region of SYISR's non‐grating lobe. For the future tri‐static SYISR, it could simultaneously observe the spatial distribution of all three components of the vector ion velocity. Besides, the inversion method based on Bayesian estimation shows good accuracy and stability in deriving the vector ion velocity, especially when the LOS ion velocity has a large error. These results will benefit the design and optimization of the actual experiments for the vector ion velocity measurement and inversion using the SYISR system.