bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of post-process and in-process cooling on wide-area stir zone processed via friction stir processing with pin overlapping
Authors: Keerthana B V S , Satyanarayana M V N V , Reddy K Venkateswara , Shankar M N S 
Published: June 2023

Abstract
In the current investigation, the influence of post-process and in-process cooling on microstructural, mechanical and electrochemical behavior of wide-area stir zone (WSZ) processed with overlapping friction stir processing (OL-FSP) was studied. The WSZ was successfully prepared in Al5083 aluminum alloy using multi-pass friction stir processing (FSP) with 50% pin overlapping under both cooling conditions. The post-process cooling FSP (PP-FSP) used solid CO2 as cooling media, whereas the in-process cooling FSP (IP-FSP) used water as cooling media. The microstructural investigations revealed that grain refinement is uniform in each overlapping pass for both cooling conditions. The IP-FSP resulted in better grain refinement than PP-FSP. Three different types of intermetallic particles (needle-shaped Fe-containing, rod-shaped Mg-containing, and very small Mg-containing grain boundary intermetallic particles) were identified in the base alloy and OL-FSP samples. The hardness was observed to be constant across the WSZ due to the uniform grain refinement, and the IP-FSP sample has better hardness and strength than the PP-FSP sample due to the better cooling effect. The elongation followed a similar trend of hardness. The electrochemical findings revealed that the IP-FSP sample has better corrosion resistance than the PP-FSP sample due to the better grain refinement and fine intermetallics.
Boosted fluctuation responses in power grids with active voltage dynamics
Authors: Thümler Moritz , Timme Marc 
Published: June 2023

Abstract
Secure electric energy supply and thus stable operation of power grids fundamentally relies on their capability to cope with fluctuations. Here, we study how active voltage dynamics impacts the collective response dynamics of networked power grids. We find that the systems driven by ongoing fluctuating inputs exhibit a bulk, a resonance, and a localized grid frequency response regime, as for static voltages. However, active voltage dynamics generically weakens the degree of localization in the grid, thereby intensifying and spatially extending the high-frequency responses. An analytic approximation scheme that takes into account shortest signal propagation paths among the voltage, phase angle and frequency variables result in an asymptotic lowest-order expansion that helps understanding the boosted high-frequency responses. These results moreover offer a generic tool to systematically investigate fluctuation response patterns in power grid models with and without active voltage dynamics.
Scalable neural quantum states architecture for quantum chemistry
Authors: Zhao Tianchen , Stokes James , Veerapaneni Shravan 
Published: June 2023

Abstract
Variational optimization of neural-network representations of quantum states has been successfully applied to solve interacting fermionic problems. Despite rapid developments, significant scalability challenges arise when considering molecules of large scale, which correspond to non-locally interacting quantum spin Hamiltonians consisting of sums of thousands or even millions of Pauli operators. In this work, we introduce scalable parallelization strategies to improve neural-network-based variational quantum Monte Carlo calculations for ab-initio quantum chemistry applications. We establish GPU-supported local energy parallelism to compute the optimization objective for Hamiltonians of potentially complex molecules. Using autoregressive sampling techniques, we demonstrate systematic improvement in wall-clock timings required to achieve coupled cluster with up to double excitations baseline target energies. The performance is further enhanced by accommodating the structure of resultant spin Hamiltonians into the autoregressive sampling ordering. The algorithm achieves promising performance in comparison with the classical approximate methods and exhibits both running time and scalability advantages over existing neural-network based methods.
SELFormer: molecular representation learning via SELFIES language models
Authors: Yüksel Atakan , Ulusoy Erva , Ünlü Atabey , Doğan Tunca 
Published: June 2023

Abstract
Automated computational analysis of the vast chemical space is critical for numerous fields of research such as drug discovery and material science. Representation learning techniques have recently been employed with the primary objective of generating compact and informative numerical expressions of complex data, for efficient usage in subsequent prediction tasks. One approach to efficiently learn molecular representations is processing string-based notations of chemicals via natural language processing algorithms. Majority of the methods proposed so far utilize SMILES notations for this purpose, which is the most extensively used string-based encoding for molecules. However, SMILES is associated with numerous problems related to validity and robustness, which may prevent the model from effectively uncovering the knowledge hidden in the data. In this study, we propose SELFormer, a transformer architecture-based chemical language model (CLM) that utilizes a 100% valid, compact and expressive notation, SELFIES, as input, in order to learn flexible and high-quality molecular representations. SELFormer is pre-trained on two million drug-like compounds and fine-tuned for diverse molecular property prediction tasks. Our performance evaluation has revealed that, SELFormer outperforms all competing methods, including graph learning-based approaches and SMILES-based CLMs, on predicting aqueous solubility of molecules and adverse drug reactions, while producing comparable results for the remaining tasks. We also visualized molecular representations learned by SELFormer via dimensionality reduction, which indicated that even the pre-trained model can discriminate molecules with differing structural properties. We shared SELFormer as a programmatic tool, together with its datasets and pre-trained models at https://github.com/HUBioDataLab/SELFormer. Overall, our research demonstrates the benefit of using the SELFIES notations in the context of chemical language modeling and opens up new possibilities for the design and discovery of novel drug candidates with desired features.
Wound Healing Complications With Tranexamic Acid: Not the Silver Bullet After All
Authors: Yalamanchili Suma , Talei Ben , Azizzadeh Babak , Auersvald Andre , Frankel Andrew S 
Published: June 2023

Abstract

Tranexamic acid (TXA) has been popularized as an adjunct to decrease the risk of bleeding and subsequent bruising and edema in aesthetic surgery. The most notable risks of TXA are thrombus and seizures, which are associated with higher plasma concentrations of the acid. In an effort to mitigate these risks, surgeons have begun using TXA locally, either as a topical irrigation or mixed into the local anesthetic. Although local use is thought to be safer from a side-effect standpoint, because there is decreased systemic absorption, its use is not without risk. We present 4 patients who developed wound healing complications thought to be related to locally administered TXA. One patient had TXA delivered topically, and 3 patients had TXA mixed into their local anesthetic. These adverse events have not been published in the literature previously. This case report serves as a warning to other surgeons about using locally administered TXA.

Level of Evidence: 4
PIQLE: protein–protein interface quality estimation by deep graph learning of multimeric interaction geometries
Authors: Shuvo Md Hossain , Karim Mohimenul , Roche Rahmatullah , Bhattacharya Debswapna 
Published: June 2023

Abstract

Motivation
Accurate modeling of protein–protein interaction interface is essential for high-quality protein complex structure prediction. Existing approaches for estimating the quality of a predicted protein complex structural model utilize only the physicochemical properties or energetic contributions of the interacting atoms, ignoring evolutionarily information or inter-atomic multimeric geometries, including interaction distance and orientations.

Results
Here, we present PIQLE, a deep graph learning method for protein–protein interface quality estimation. PIQLE leverages multimeric interaction geometries and evolutionarily information along with sequence- and structure-derived features to estimate the quality of individual interactions between the interfacial residues using a multi-head graph attention network and then probabilistically combines the estimated quality for scoring the overall interface. Experimental results show that PIQLE consistently outperforms existing state-of-the-art methods including DProQA, TRScore, GNN-DOVE and DOVE on multiple independent test datasets across a wide range of evaluation metrics. Our ablation study and comparison with the self-assessment module of AlphaFold-Multimer repurposed for protein complex scoring reveal that the performance gains are connected to the effectiveness of the multi-head graph attention network in leveraging multimeric interaction geometries and evolutionary information along with other sequence- and structure-derived features adopted in PIQLE.

Availability and implementation
An open-source software implementation of PIQLE is freely available at https://github.com/Bhattacharya-Lab/PIQLE.

Supplementary information
Supplementary data are available at Bioinformatics Advances online.
Performance of ChatGPT on Specialty Certificate Examination in Dermatology multiple-choice questions
Authors: Passby Lauren , Jenko Nathan , Wernham Aaron 
Published: June 2023

Abstract
ChatGPT is a large language model trained on increasingly large datasets by OpenAI to perform language-based tasks. It is capable of answering multiple-choice questions, such as those posed by the Specialty Certificate Examination (SCE) in Dermatology. We asked two iterations of ChatGPT: ChatGPT-3.5 and ChatGPT-4 84 multiple-choice sample questions from the sample SCE in Dermatology question bank. ChatGPT-3.5 achieved an overall score of 63%, and ChatGPT-4 scored 90% (a significant improvement in performance; P &lt; 0.001). The typical pass mark for the SCE in Dermatology is 70–72%. ChatGPT-4 is therefore capable of answering clinical questions and achieving a passing grade in these sample questions. There are many possible educational and clinical implications for increasingly advanced artificial intelligence (AI) and its use in medicine, including in the diagnosis of dermatological conditions. Such advances should be embraced provided that patient safety is a core tenet, and the limitations of AI in the nuances of complex clinical cases are recognized.
Angela Carter and Modern Japanese Fiction: Her Reencounter with Western Literary Legacies
Authors: Okuhata Yutaka 
Published: June 2023

Abstract
This paper discusses the echo of modern Japanese literature in Angela Carter’s The Infernal Desire Machines of Doctor Hoffman (1972), which was written in Tokyo and Chiba, paying particular attention to four of the most influential authors in this intertextual novel: Junichiro Tanizaki, Ryunosuke Akutagawa, Yasunari Kawabata, and Yukio Mishima. Significantly, as well as being innovators of Japanese fiction, these writers were also great reinterpreters of Western literary legacies, who constructed their own original styles by absorbing both Japanese and non-Japanese literary traditions. The article, therefore, explores how Carter reencountered Western literary legacies through reading modern Japanese literature in order to clarify her feminist and political responses to the reinterpretation of the European and American canon by authors from the Far East.
“Violated Angels”: Japan, Sadism, and Angela Carter’s Sadistic Orientalism
Authors: Dimovitz Scott A 
Published: June 2023

Abstract
This essay examines Angela Carter’s private journals and the British Library’s 2000 pages of letters from her time in Japan to explore Carter’s evolving thinking about the intersections between race, gender, power, and sexuality, from casual expressions of racist stereotypes in the early works through a more radical interrogation of those stereotypes, to a later, more intersectional approach to feminism and race. It explores her uncollected writings for men’s magazines, such as Men Only and Club International, where she describes Japanese attitudes towards sexuality and the practice of irezumi, Japanese tattooing, which she analyzes as an index of a Japanese culture of “repression, narcissism, masochism and superstition” (“Irezumi” 96).
Coronary steal: how many thieves are out there?
Authors: Achim Alexandru , Johnson Nils P , Liblik Kiera , Burckhardt Amélie , Krivoshei Lian , Leibundgut Gregor 
Published: June 2023

Abstract
The colorful term “coronary steal” arose in 1967 to parallel “subclavian steal” coined in an anonymous 1961 editorial. In both instances, the word “steal” described flow reversal in the setting of an interconnected but abnormal vascular network—in one case a left subclavian stenosis proximal to the origin of the vertebral artery and in the other case a coronary fistula. Over time, the term has morphed to include a larger set of pathophysiology without explicit flow reversal but rather with a decrease in stress flow due to other mechanisms. This review aims to shed light on this phenomenon from a clinical and a pathophysiological perspective, detailing the anatomical and physiological conditions that allow so-called steal to appear and offering treatment options for six distinct scenarios.
Consistency in the fingerprints of projected sea level change 2015–2100CE
Authors: Cederberg Gabriel , Jaeger Nicholas , Kiam Lia , Powell Robert , Stoller Posy , Valencic Natasha , Latychev Konstantin , Lickley Megan , Mitrovica Jerry X 
Published: June 2023

SUMMARY
A large ensemble of ice sheet projections to the end of the 21st century have been compiled within community-based initiatives. These ensembles allow for assessment of uncertainties in projections associated with climate forcing and a wide range of parameters governing ice sheet and shelf dynamics, including ice-ocean interactions. Herein, we compute geographically variable sea level ‘fingerprints’ associated with ∼320 simulations of polar ice sheet projections included in the Ice Sheet Model Intercomparison Project for CMIP6 and ∼180 projections of glacier mass changes from the Glacier Model Intercomparison Project. We find a strong correlation (coefficient &gt; 0.97) between all fingerprints of Greenland Ice Sheet projections when considering a global region outside the near field of the ice sheet. Consistency in the fingerprints for the Antarctic Ice Sheet (AIS) projections is much weaker, though correlation coefficients &gt; 0.80 were found for all projections with global mean sea level (GMSL) greater than 10 cm. The far-field variability in the fingerprints associated with the AIS is due in large part to the sea level change driven by Earth rotation changes. The size and position of the AIS on the south pole makes the rotational component of the sea level fingerprint highly sensitive to the geometry of the ice mass flux, a geometry that becomes more consistent as the GMSL associated with the ice sheet projection increases. Finally, the fingerprints of glacier mass flux show an intermediate level of consistency, with contributions from Antarctic glaciers being the primary driver of decorrelation.
Introduction: Trans identities and the law
Authors: Alaattinoğlu Daniela , Margaria Alice , Osella Stefano 
Published: June 2023

Abstract
This Symposium offers a critical exploration of how the identities of trans people are translated, recognized, and considered in the law. In so doing, it sheds light on the often-difficult coexistence between the lived experiences of trans people and their legal regulation. The main argument that the Symposium advances is that multiple structural—legal, social, and cultural—factors influence the evolution of rights pertaining to gender identity. Identity recognition—the articles show—is also key to accessing multiple other rights and benefits in society. The Symposium includes five articles, all addressing the recognition of diversity and the construction of gender in law, focusing on a variety of jurisdictions and drawing on different disciplinary perspectives. Showing a multifaceted approach to one of the most topical public law challenges, this Symposium discusses the limits and the possibilities of law in advancing the rights of trans people.
The impact of diabetes during pregnancy on neonatal outcomes among the Aboriginal population in Western Australia: a whole-population study
Authors: Ahmed Marwan Awad , Bailey Helen D , Pereira Gavin , White Scott W , Wong Kingsley , McNamara Bridgette J , Rheeder Paul , Marriott Rhonda , Shepherd Carrington C J 
Published: June 2023

Abstract

Background
Aboriginal and Torres Strait Islander (hereafter Aboriginal) women have a high prevalence of diabetes in pregnancy (DIP), which includes pre-gestational diabetes mellitus (PGDM) and gestational diabetes mellitus (GDM). We aimed to characterize the impact of DIP in babies born to Aboriginal mothers.

Methods
A retrospective cohort study, using routinely collected linked health data that included all singleton births (N = 510 761) in Western Australia between 1998 and 2015. Stratified by Aboriginal status, generalized linear mixed models quantified the impact of DIP on neonatal outcomes, estimating relative risks (RRs) with 95% CIs. Ratio of RRs (RRRs) examined whether RRs differed between Aboriginal and non-Aboriginal populations.

Results
Exposure to DIP increased the risk of adverse outcomes to a greater extent in Aboriginal babies. PGDM heightened the risk of large for gestational age (LGA) (RR: 4.10, 95% CI: 3.56–4.72; RRR: 1.25, 95% CI: 1.09–1.43), macrosomia (RR: 2.03, 95% CI: 1.67–2.48; RRR: 1.39, 95% CI: 1.14–1.69), shoulder dystocia (RR: 4.51, 95% CI: 3.14–6.49; RRR: 2.19, 95% CI: 1.44–3.33) and major congenital anomalies (RR: 2.14, 95% CI: 1.68–2.74; RRR: 1.62, 95% CI: 1.24–2.10). GDM increased the risk of LGA (RR: 2.63, 95% CI: 2.36–2.94; RRR: 2.00, 95% CI: 1.80–2.22), macrosomia (RR: 1.95, 95% CI: 1.72–2.21; RRR: 2.27, 95% CI: 2.01–2.56) and shoulder dystocia (RR: 2.78, 95% CI: 2.12–3.63; RRR: 2.11, 95% CI: 1.61–2.77). Birthweight mediated about half of the DIP effect on shoulder dystocia only in the Aboriginal babies.

Conclusions
DIP differentially increased the risks of fetal overgrowth, shoulder dystocia and congenital anomalies in Aboriginal babies. Improving care for Aboriginal women with diabetes and further research on preventing shoulder dystocia among these women can reduce the disparities.
A molecular phylogeny of Noctuini (Lepidoptera: Noctuidae: Noctuinae)
Authors: Sisson Melissa S , Flom Matthew J , Crossley Janna L , Simmons Rebecca B 
Published: June 2023

Abstract
The tribe Noctuini is comprised over 520 species; many are economically important species that impact human agriculture. Despite their diversity and relevance, relationships of Noctuini have been difficult to resolve. There have been extensive morphological revisions of some of these taxa (e.g., Agrotis Ochsenheimer, Euxoa Hübner); however, there are no studies that focus exclusively on the phylogenetic relationships of the Noctuini. Currently, Noctuini are separated into 2 subtribes, Agrotina and Noctuina. In this study, we tested previous classification schemes with 2 analyses. The total evidence analysis utilized 3 loci for 3 outgroup taxa and 54 noctuine species. Using museum specimens, we collected data from cytochrome oxidase I (COI), Dopa Decarboxylase (DDC), and Elongation factor 1-α (EF1-α) to generate a dataset of 1,378 base pairs (bp) for a total evidence approach. We also used previously published COI sequences for 626 species, resulting in a matrix of 690 bp, termed “the barcode analysis.” We used both Maximum Likelihood and Bayesian approaches for the total evidence analysis, and ML for the barcode analysis. In both sets of results, we found equivocal support for monophyletic Agrotina and Noctuina. We found strong support for smaller, well-described genera (e.g., Spaelotis), but poor support for large genera such as Euxoa, Feltia Walker, and Agrotis. It is likely that a combination of limited taxon/gene sampling, limited gene choice, and the rapid evolution of these species resulted in a lack of phylogenetic resolution in the total evidence topologies. Based on these results, we recommend increased taxon sampling and inclusion of loci that target these rapidly evolving lineages to achieve a better understanding of the phylogeny of Noctuini and its genera.
Cosmopolitanism and the Creative Activism of Public Art
Authors: Evans Fred 
Published: June 2023

Abstract
Cosmopolitanism seeks a political ethics of world togetherness and a political aesthetics that can contribute to this task critically and imaginatively. Regarding political ethics, I explore the world as a “cosmopolitan mind” composed of “dialogic voices” and threatened by neoliberalism, neofascism, and other nihilistic “oracles.” I also construct a criterion for determining which public artworks (1) resist oracles and (2) help us imagine a “cosmopolitan democracy” and its political ethics. The latter includes the concordance of three ethico-political virtues—solidarity, heterogeneity, and fecundity (creating new voices through the interplay among other voices)—and must appeal to different peoples worldwide. I also examine how this political ethics and aesthetics can be applied to nonhuman life and non-sentient formations in a non-anthropocentric manner; indeed, how the cosmos in its entirety and plurality can also be thought of as voices and participants in the cosmopolitan mind and its artistic expression. Moreover, I contend that my ontology of dialogic voices and proposed public art criterion, like the cosmopolitan mind itself, are “events” or “becomings.” This means that there can never be an articulation of the ontology that is final nor a public art criterion that could curtail the imaginative reach of art.
Building color palettes in your data visualization style guides
Authors: Graze Maxene , Schwabish Jonathan 
Published: June 2023

Abstract

Objectives
Data visualization style guides are standards for formatting and designing representations of information, like charts, graphs, tables, and diagrams. To assist researchers communicate their visual content in better and more effective ways, this article accomplishes two tasks. First, we take a detailed look at a data visualization style guide and its components—what it is and what it should include. Second, we create a detailed template for the color section of a data visualization style guide.

Target Audience
Creating a data visualization style guide as described here should help researchers across multiple disciplines create better and more consistent charts, graphs, and diagrams. Such style guides are useful for individuals and organizations in their efforts to be more efficient and consistent in their data communication products.

Scope
Data visualization style guides often include explaining the what (eg, types of charts), the why (eg, reasons for using specific colors), and the how (eg, tools or templates) of creating consistent and effective visuals that can also fit within an individual’s or organization’s larger design system. We use a variety of tools to create, test, and implement a data visualization color palette. We provide sample color palettes and provide step-by-step instructions on how to import those palettes into six popular data visualization tools: Microsoft Excel and PowerPoint, Tableau, PowerBI, and Adobe Illustrator and InDesign.