bluuebunny/crossref_metadata_2025_split huggingface dataset:
Measurement of the water absorption on hybrid carbon fibre prepreg waste composite and its impact on flexural performance
Authors: Ahmad Shukri Ahmad Ashari , Nosbi Norlin , Omar Mohd Firdaus , Md Saleh Siti Shuhadah , Othman Muhammad Bisyrul Hafi , Najib Norazwana Mohd , Wan Ali Wan Fahmin Faiz 
Published: August 2024

Abstract
Carbon fibre (CF) prepreg, essential to composites and aircraft, generates waste known as carbon fibre prepreg waste (CFW) due to its limited lifespan. This study investigates recycling CFW through hybridization, milling it into powder and mixing it with epoxy resin and alumina to form hybrid composites. Using Minitab software, optimal compositions were determined from 13 and 20 experimental designs for CFW-EP and CFW-EP-AL, respectively. Results identified 2.5 wt% CFW and 97.5 wt% epoxy resin as optimal for CFW-EP, and 2.5 wt% CFW, 2.5 wt% alumina, and 95 wt% epoxy resin as optimal for CFW-EP-AL. Samples of epoxy resin polymer (EP), carbon prepreg waste reinforced composite (CFW-EP), and carbon prepreg waste reinforced with alumina composite (CFW-EP-AL) were fabricated and tested for moisture absorption and flexural strength, revealing noticeable deterioration over time. These findings highlight the importance of compositional analysis in developing sustainable materials with optimal flexural strength for various applications.
‘Eenheid and Apartheid’
Authors: Fossati Marta 
Published: August 2024

Abstract
This chapter reads the short stories by Mtutuzeli Matshoba—Call Me Not a Man (1979)—and by Ahmed Essop—The Hajji and Other Stories (1978) and Noorjehan and Other Stories (1990)—focusing on the formal tension between unity and difference inherent in the genre of the short-story cycle. The chapter challenges and complicates the polarized readings of the two authors—both influenced by Black Consciousness—without erasing the difference between their short stories, which represent the Black and Indian communities of South Africa respectively. It also considers the new publishing scene in South Africa, in particular the birth of independent publishing houses such as Ravan Press and its influential magazine Staffrider. Disrupting linear chronology, this chapter finally discusses Essop’s two post-apartheid short-story cycles, The King of Hearts and Other Stories (1997) and Narcissus and Other Stories (2002), which point to new ethical and aesthetical concerns in South African writing.
Burials, Exhumations, and Textual Tombs
Authors: Lawlor Hannie 
Published: August 2024

Abstract
Chapter 4 turns to narrative negotiations of the painful pull between proximity and distance as mother–daughter relationships are re-created in writing in the wake of loss. It compares Milena Busquets’s autofictional work También esto pasará (This Too Shall Pass) (2015), written in response to the death of the author’s mother following a lengthy battle with Parkinson’s disease, and Sophie Daull’s account of the sudden, traumatic loss of her daughter in Camille, mon envolée (Camille, My Departed One) (2015), with reference, too, to Daull’s subsequent account of the death of her mother in La Suture (The Stitch) (2016). From the shared endeavour that emerges across these narratives of grief to make present perspectives that are missing, the chapter explores the narrative strategies that serve to construct something like a continuing dialogue, a narrative coexistence with the lost loved one.
Impact of a pharmacist-led collaborative approach to care for treatment of COVID-19 in the outpatient setting
Authors: Potter Jessica , Chlasta Rachel , Miyama Kelle , Thompson-Moore Nathaniel , Blem Chris , Wargo Ryan , Suzuki Marina , Grando Holman Yvette 
Published: August 2024

Abstract

Purpose
The SARS-CoV-2 virus, causing COVID-19, remains a threat to patients and healthcare systems across the country. Oral antiviral therapy is available to reduce risk of patient hospitalization and death; however, limited access to medications, complex drug interactions, and the importance of timeliness in initiating therapy have proven to be challenging. This report aims to describe a pharmacist-driven telehealth service that provided safe and efficient access to antivirals for the treatment of COVID-19 and assess the population impacted.

Summary
This observational study was conducted from January 2022 to September 2023, during which time a COVID-19 pharmacist referral hub was utilized at Legacy Health. Patients documented to be positive for COVID-19 infection and who had a primary care provider within Legacy Health were included in the study. Demographics and descriptive data regarding antiviral prescribing for patients who were managed by an ambulatory care pharmacist were assessed. Patient demographics were statistically compared between groups to investigate antiviral access for marginalized populations. A total of 22,983 unique COVID-19 infections occurred during the study period, and ambulatory care pharmacists within Legacy Health managed 19.8% of all documented COVID-19 infections in our study population. The pharmacy team generated 3,820 antiviral prescriptions for treatment of COVID-19. The median time from symptom onset to antiviral prescription was 1 day.

Conclusion
This pharmacist-led telehealth service had a significant impact in expanding access to COVID-19 antiviral treatment, which is pivotal in broadening access to timely COVID-19 antiviral treatment for all vulnerable patient groups when resources are limited.
Attribute-guided prototype network for few-shot molecular property prediction
Authors: Hou Linlin , Xiang Hongxin , Zeng Xiangxiang , Cao Dongsheng , Zeng Li , Song Bosheng 
Published: August 2024

Abstract
The molecular property prediction (MPP) plays a crucial role in the drug discovery process, providing valuable insights for molecule evaluation and screening. Although deep learning has achieved numerous advances in this area, its success often depends on the availability of substantial labeled data. The few-shot MPP is a more challenging scenario, which aims to identify unseen property with only few available molecules. In this paper, we propose an attribute-guided prototype network (APN) to address the challenge. APN first introduces an molecular attribute extractor, which can not only extract three different types of fingerprint attributes (single fingerprint attributes, dual fingerprint attributes, triplet fingerprint attributes) by considering seven circular-based, five path-based, and two substructure-based fingerprints, but also automatically extract deep attributes from self-supervised learning methods. Furthermore, APN designs the Attribute-Guided Dual-channel Attention module to learn the relationship between the molecular graphs and attributes and refine the local and global representation of the molecules. Compared with existing works, APN leverages high-level human-defined attributes and helps the model to explicitly generalize knowledge in molecular graphs. Experiments on benchmark datasets show that APN can achieve state-of-the-art performance in most cases and demonstrate that the attributes are effective for improving few-shot MPP performance. In addition, the strong generalization ability of APN is verified by conducting experiments on data from different domains.
MetaFluAD: meta-learning for predicting antigenic distances among influenza viruses
Authors: Jia Qitao , Xia Yuanling , Dong Fanglin , Li Weihua 
Published: August 2024

Abstract
Influenza viruses rapidly evolve to evade previously acquired human immunity. Maintaining vaccine efficacy necessitates continuous monitoring of antigenic differences among strains. Traditional serological methods for assessing these differences are labor-intensive and time-consuming, highlighting the need for efficient computational approaches. This paper proposes MetaFluAD, a meta-learning-based method designed to predict quantitative antigenic distances among strains. This method models antigenic relationships between strains, represented by their hemagglutinin (HA) sequences, as a weighted attributed network. Employing a graph neural network (GNN)-based encoder combined with a robust meta-learning framework, MetaFluAD learns comprehensive strain representations within a unified space encompassing both antigenic and genetic features. Furthermore, the meta-learning framework enables knowledge transfer across different influenza subtypes, allowing MetaFluAD to achieve remarkable performance with limited data. MetaFluAD demonstrates excellent performance and overall robustness across various influenza subtypes, including A/H3N2, A/H1N1, A/H5N1, B/Victoria, and B/Yamagata. MetaFluAD synthesizes the strengths of GNN-based encoding and meta-learning to offer a promising approach for accurate antigenic distance prediction. Additionally, MetaFluAD can effectively identify dominant antigenic clusters within seasonal influenza viruses, aiding in the development of effective vaccines and efficient monitoring of viral evolution.
A computational approach to developing a multi-epitope vaccine for combating Pseudomonas aeruginosa–induced pneumonia and sepsis
Authors: Roy Suronjit Kumar , Biswas Mohammad Shahangir , Foyzur Raman Md , Hasan Rubait , Rahmann Zahidur , Uddin PK Md Moyen 
Published: August 2024

Abstract
Pseudomonas aeruginosa is a complex nosocomial infectious agent responsible for numerous illnesses, with its growing resistance variations complicating treatment development. Studies have emphasized the importance of virulence factors OprE and OprF in pathogenesis, highlighting their potential as vaccine candidates. In this study, B-cell, MHC-I, and MHC-II epitopes were identified, and molecular linkers were active to join these epitopes with an appropriate adjuvant to construct a vaccine. Computational tools were employed to forecast the tertiary framework, characteristics, and also to confirm the vaccine’s composition. The potency was weighed through population coverage analysis and immune simulation. This project aims to create a multi-epitope vaccine to reduce P. aeruginosa–related illness and mortality using immunoinformatics resources. The ultimate complex has been determined to be stable, soluble, antigenic, and non-allergenic upon inspection of its physicochemical and immunological properties. Additionally, the protein exhibited acidic and hydrophilic characteristics. The Ramachandran plot, ProSA-web, ERRAT, and Verify3D were employed to ensure the final model’s authenticity once the protein’s three-dimensional structure had been established and refined. The vaccine model showed a significant binding score and stability when interacting with MHC receptors. Population coverage analysis indicated a global coverage rate of 83.40%, with the USA having the highest coverage rate, exceeding 90%. Moreover, the vaccine sequence underwent codon optimization before being cloned into the Escherichia coli plasmid vector pET-28a (+) at the EcoRI and EcoRV restriction sites. Our research has developed a vaccine against P. aeruginosa that has strong binding affinity and worldwide coverage, offering an acceptable way to mitigate nosocomial infections.
ceas: an R package for Seahorse data analysis and visualization
Authors: House Rachel (Rae) J , Eapen James P , Shen Hui , Graveel Carrie R , Steensma Matthew R 
Published: August 2024

Abstract

Summary
Measuring cellular energetics is essential to understanding a matrix’s (e.g. cell, tissue, or biofluid) metabolic state. The Agilent Seahorse machine is a common method to measure real-time cellular energetics, but existing analysis tools are highly manual or lack functionality. The Cellular Energetics Analysis Software (ceas) R package fills this analytical gap by providing modular and automated Seahorse data analysis and visualization.

Availability and implementation
ceas is available on CRAN (https://cran.r-project.org/package=ceas). Source code and installable tarballs are freely available for download at https://github.com/jamespeapen/ceas/releases/ under the MIT license. Package documentation may be found at https://jamespeapen.github.io/ceas/. ceas is implemented in R and is supported on macOS, Windows and Linux.
Advancing mRNA subcellular localization prediction with graph neural network and RNA structure
Authors: Li Fuyi , Bi Yue , Guo Xudong , Tan Xiaolan , Wang Cong , Pan Shirui 
Published: August 2024

Abstract

Motivation
The asymmetrical distribution of expressed mRNAs tightly controls the precise synthesis of proteins within human cells. This non-uniform distribution, a cornerstone of developmental biology, plays a pivotal role in numerous cellular processes. To advance our comprehension of gene regulatory networks, it is essential to develop computational tools for accurately identifying the subcellular localizations of mRNAs. However, considering multi-localization phenomena remains limited in existing approaches, with none considering the influence of RNA’s secondary structure.

Results
In this study, we propose Allocator, a multi-view parallel deep learning framework that seamlessly integrates the RNA sequence-level and structure-level information, enhancing the prediction of mRNA multi-localization. The Allocator models equip four efficient feature extractors, each designed to handle different inputs. Two are tailored for sequence-based inputs, incorporating multilayer perceptron and multi-head self-attention mechanisms. The other two are specialized in processing structure-based inputs, employing graph neural networks. Benchmarking results underscore Allocator’s superiority over state-of-the-art methods, showcasing its strength in revealing intricate localization associations.

Availability and implementation
The webserver of Allocator is available at http://Allocator.unimelb-biotools.cloud.edu.au; the source code and datasets are available on GitHub (https://github.com/lifuyi774/Allocator) and Zenodo (https://doi.org/10.5281/zenodo.13235798).
Serotonin transporter knockout in rats reduces beta- and gamma-band functional connectivity between the orbitofrontal cortex and amygdala during auditory discrimination
Authors: Boillot Morgane , ter Horst Jordi , López José Rey , Di Fazio Ilaria , Steens Indra L M , Cohen Michael X , Homberg Judith R 
Published: August 2024

Abstract
The orbitofrontal cortex and amygdala collaborate in outcome-guided decision-making through reciprocal projections. While serotonin transporter knockout (SERT−/−) rodents show changes in outcome-guided decision-making, and in orbitofrontal cortex and amygdala neuronal activity, it remains unclear whether SERT genotype modulates orbitofrontal cortex–amygdala synchronization. We trained SERT−/− and SERT+/+ male rats to execute a task requiring to discriminate between two auditory stimuli, one predictive of a reward (CS+) and the other not (CS−), by responding through nose pokes in opposite-side ports. Overall, task acquisition was not influenced by genotype. Next, we simultaneously recorded local field potentials in the orbitofrontal cortex and amygdala of both hemispheres while the rats performed the task. Behaviorally, SERT−/− rats showed a nonsignificant trend for more accurate responses to the CS−. Electrophysiologically, orbitofrontal cortex—amygdala synchronization in the beta and gamma frequency bands during response selection was significantly reduced and associated with decreased hubness and clustering coefficient in both regions in SERT−/− rats compared to SERT+/+ rats. Conversely, theta synchronization at the time of behavioral response in the port associated with reward was similar in both genotypes. Together, our findings reveal the modulation by SERT genotype of the orbitofrontal cortex—amygdala functional connectivity during an auditory discrimination task.
The life history consequences of host switching in Ooencyrtus egeria (Hymenoptera: Encyrtidae), a parasitoid of stink bug eggs
Authors: Sedigh Hadis , Michaud J P , Ranjbar Fateme , Jalali M Amin , Ziaaddini Mahdi 
Published: August 2024

Abstract
The stink bugs Acrosternum arabicum Wagner and Brachynema germari Kolenati (Hemiptera: Pentatomidae) damage developing pistachio nuts in Iran. Ooencyrtus egeria Huang and Noyes (Hymenoptera: Encyrtidae) parasitizes eggs of both species, alternating between them seasonally. We compared the biological and life history attributes of O. egeria reared for 3 generations on each host species with those that had been transferred to the alternate host for 2 generations. We also tested female responses to host egg density. Eggs of B. germari were parasitized at higher rates and yielded faster wasp development, heavier female progeny with greater fecundity, and a more female-biased sex ratio, than eggs of A. arabicum. Rearing on A. arabicum did not diminish wasp fitness on B. germari, and the F1 progeny of wasps switched to A. arabicum inherited some beneficial parental effects from rearing on B. germari. Regardless of host species, females parasitized fewer eggs in 8 h as density increased from 10 to 30 eggs, but progeny sex ratio (% female) increased. The anomalous response to host density appears to arise from a combination of behavioral and egg load constraints. Females mature only 10–12 eggs per day. Carefully inspect egg clusters before selecting the most suitable eggs for oviposition, a more time-consuming process for large clusters. Our results indicate that rearing O. egeria on eggs of A. arabicum, which are more convenient and cost-effective to produce than those of B. germari, will not diminish its performance on B. germari following augmentative release, beyond a slight reduction in female fecundity.
Home inotrope therapy in chronic stimulant-induced cardiomyopathy: a case series
Authors: Joseph Max , Batra Sejal , Kamran Wali , Barrett Kelsey , Ebert Barbara , Nassar Ahmed , Misselbeck Timothy , Hawwa Nael 
Published: August 2024

Abstract

Background
Patients with chronic stimulant-induced cardiomyopathy presenting with cardiogenic shock can be stabilized with conventional measures. However, their management post-stabilization has not been well described and poses unique challenges: (i) less chance of myocardial recovery compared to acute stimulant-induced cardiomyopathy, (ii) psychosocial barriers to left ventricular assist device (LVAD) and heart transplantation, and (iii) concern for use of peripherally inserted central catheter for home inotrope in those with a history of substance abuse.

Case summary
Three patients with chronic stimulant-induced cardiomyopathy were admitted with cardiogenic shock progressing to Society for Cardiovascular Angiography & Interventions stage D or E. They were stabilized with inotrope and/or biventricular mechanical circulatory support. Long-term home inotrope was used as either a bridge to LVAD, reverse remodelling, or stabilization.

Discussion
Home inotrope should be viewed as an option in chronic stimulant-induced cardiomyopathy on a case-by-case basis. It can buy time to allow for myocardial stabilization or recovery through goal-directed medical therapy and stimulant cessation. It can also serve as a ‘psychosocial stress test’ for future consideration of advanced heart failure therapies.
Mating systems and recombination landscape strongly shape genetic diversity and selection in wheat relatives
Authors: Burgarella Concetta , Brémaud Marie-Fleur , Von Hirschheydt Gesa , Viader Veronique , Ardisson Morgane , Santoni Sylvain , Ranwez Vincent , de Navascués Miguel , David Jacques , Glémin Sylvain 
Published: August 2024

Abstract
How and why genetic diversity varies among species is a long-standing question in evolutionary biology. Life history traits have been shown to explain a large part of observed diversity. Among them, mating systems have one of the strongest impacts on genetic diversity, with selfing species usually exhibiting much lower diversity than outcrossing relatives. Theory predicts that a high rate of selfing amplifies selection at linked sites, reducing genetic diversity genome-wide, but frequent bottlenecks and rapid population turn-over could also explain low genetic diversity in selfers. However, how linked selection varies with mating systems and whether it is sufficient to explain the observed difference between selfers and outcrossers has never been tested. Here, we used the Aegilops/Triticum grass species, a group characterized by contrasted mating systems (from obligate outcrossing to high selfing) and marked recombination rate variation across the genome, to quantify the effects of mating system and linked selection on patterns of neutral and selected polymorphism. By analyzing phenotypic and transcriptomic data of 13 species, we show that selfing strongly affects genetic diversity and the efficacy of selection by amplifying the intensity of linked selection genome-wide. In particular, signatures of adaptation were only found in the highly recombining regions in outcrossing species. These results bear implications for the evolution of mating systems and, more generally, for our understanding of the fundamental drivers of genetic diversity.
Pathogen infection alters the gene expression landscape of transposable elements in Drosophila melanogaster
Authors: Mostoufi Sabrina L , Singh Nadia D 
Published: August 2024

Abstract
Transposable elements make up substantial proportions of eukaryotic genomes and many are thought to be remnants of ancient viral infections. Current research has begun to highlight the role transposable elements can play in the immune system response to infections. However, most of our knowledge about transposable element expression during infection is limited by the specific host and pathogen factors from each study, making it difficult to compare studies and develop broader patterns regarding the role of transposable elements during infection. Here, we use the tools and resources available in the model, Drosophila melanogaster, to analyze multiple gene expression datasets of flies subject to bacterial, fungal, and viral infections. We analyzed differences in pathogen species, host genotype, host tissue, and sex to understand how these factors impact transposable element expression during infection. Our results highlight both shared and unique transposable element expression patterns between pathogens and suggest a larger effect of pathogen factors over host factors for influencing transposable element expression.
Comparison of the filtration performance of konjac glucomannan-based aerogel and cellulose acetate
Authors: Zhong Lin , Shi Fengcheng , Yang Jiaren , Qian Hong , Zhou Jian , Niu Yanli , Zhang Ting , Jiang Fatang 
Published: August 2024

Abstract
Konjac glucomannan (KGM)-based aerogel was used as filtration material to compare filtration performance with conventional cellulose acetate (CA). KGM-based aerogel showed a three-dimensional network structure and higher specific surface area and porosity, providing a longer channel and larger adsorption interface for smoke stream and promoting the multidirectional interception for particulate matters (PMs), which was superior to the parallel fiber structure of CA. The smoke analyzer based on leaf burning was utilized to detect the filtration performance. KGM-based aerogel was significantly better than CA for total PMs, nicotine, and tar interception, with an increase of 11.6%, 22.4%, and 10.3%, respectively.