bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fabrication and electrical properties of flexible polymer-based MIM capacitors of high-k nanolaminate dielectrics of HfO2–SnO2–TiO2 with ultrathin Al2O3 insertion layer by plasma-enhanced atomic layer deposition
Authors: Zhang Chu-Yi , Wang Chen , Gao Li , Fang Chang , Zhu Lin , Li Wei-Min , Wu Di , Li Ai-Dong 
Published: October 2024

Abstract
Flexible metal–insulator–metal (MIM) capacitors of high-k nanolaminate HfO2–SnO2–TiO2 thin films were fabricated on several polymer substrates of polyethylene terephthalate, polyimide and epoxy resin at 80 °C by plasma-enhanced atomic layer deposition. The electrical properties were optimized by adjusting the sub-cycle ratio of Hf: Sn: Ti to 6: 5: 4. In order to reduce the leakage current density of flexible capacitors, the ultrathin Al2O3 layer varying from 0.5 to 1.5 nm was inserted to form Al2O3/HfO2–SnO2–TiO2/Al2O3 stacking capacitors. The effect of the Al2O3 insertion layer thickness and the super-cycle number of HfO2–SnO2–TiO2 on the capacitance density, leakage, and quadratic voltage linearity was investigated. Under optimal processing, flexible MIM capacitors could stand 40 000 bending cycles at curvature radius of 8.2 mm, indicative of better electrical stability. Moreover, compared with the polymer-based HfO2–SnO2–TiO2 capacitors, the introduction of 1 nm Al2O3 ultrathin layer greatly decreases the leakage current density by 4 orders of magnitude (10−8 A cm−2) with relative lower voltage linearity (350–540 ppm V−2), but the capacitance density also declines (∼3 fF μm−2) simultaneously. Despite this, the method of inserting Al2O3 ultra-thin layer is still an effective method to improve the electrical performances of polymer-based HfO2–SnO2–TiO2 nanolaminate capacitors for flexible electronics.
Erasing women from the Frankenstein culture-text: adapting Elizabeth Lavenza and Justine Moritz
Authors: Wotherspoon Emily 
Published: October 2024

Abstract
The Frankenstein culture-text has been dominated by adaptations of Frankenstein’s women in line with the presumption of heterosexuality. This means that the women of Frankenstein are typically adapted in ways which refocus their character’s narrative around their romantic relationships, usually with Victor. Alternatively, they are completely cut from the narrative, despite being narratively significant in the source text. This results in a silence in the culture-text about the presence of women in this story. Addressing this cultural silence requires not only feminist adaptation practice in the effort to make space for these women in future adaptations but a necessarily queer practice which resists the presumption of heterosexuality.
The Offences of the Imagination: The Grotesque in Kant’s Aesthetics
Authors: de Almeida Rodrigues Beatriz 
Published: October 2024

Abstract
In the Critique of the Power of Judgement, Kant claims that ‘the English taste in gardens or the baroque taste in furniture pushes the freedom of the imagination almost to the point of the grotesque’ (KU 5:242). This paper attempts to reconstruct Kant’s views on the grotesque as a theoretical foundation for the modern conception of the grotesque as a negative aesthetic category. The first section of the paper considers and ultimately rejects the interpretation of the grotesque as a difficult kind of beauty. The second section contrasts the experience of the grotesque with similar experiences of sublimity and dreams. The third section examines the discord between faculties underlying the experience of the grotesque, defining the grotesque as a subclass of ugliness and addressing potential objections to its inclusion in Kant’s aesthetics. The fourth and final section briefly discusses the specificity of the grotesque as a subclass of ugliness.
Socioeconomic inequities in alcohol-attributable mortality by sex/gender and age in Canada: A 13-year population-representative cohort study
Authors: Andreacchi Alessandra T , Hobin Erin , Siddiqi Arjumand , Smith Brendan T 
Published: October 2024

Abstract
Individuals with low socioeconomic position (SEP) experience greater rates of alcohol-attributable mortality, contributing to health inequities in mortality and life expectancy. We examined the association between SEP and alcohol-attributable mortality by sex/gender and age in Canada. Census records from the 2006 Canadian Census Health and Environment Cohort (ages 12+; n=5,038,790) were linked to mortality data from 2006-2019. SEP was measured by educational attainment and household income. Poisson and Fine and Gray sub-distribution hazard models estimated rate differences (RD) per 100,000 person-years and hazard ratios (HR). Both educational attainment and household income were inversely associated with alcohol-attributable mortality. Absolute SEP inequities were greater among men than women, with a RD of 30.81 (95% CI: 28.04, 33.57) for men and 9.86 (95% CI: 8.49, 11.22) for women when comparing the lowest to the highest income quintile. Age-stratified analyses showed absolute SEP inequities were most pronounced in middle and older adulthood, above age 30 for women and age 50 for men, with smaller RDs in ages 12-29. Relative SEP inequities were similar in women and men, with greater HRs at younger ages. Public health policies addressing social determinants and population-level alcohol policies should consider patterning of SEP inequities by sex/gender and age group.
School-Level Data on COVID-19 Cases, Quarantines, and Student Absenteeism During the COVID-19 Pandemic: Understanding Missingness
Authors: Pampati Sanjana , Timpe Zach , Rasberry Catherine , Waller Lance A , Lopman Benjamin , Stuart Elizabeth A , Guest Jodie L , Barrios Lisa C , Jones Jeb 
Published: October 2024

Abstract
This study aims to understand availability of school-based infectious disease surveillance data (e.g., COVID-19 cases, student absences) based on experiences during the COVID-19 pandemic using a national sample of public K–12 schools (n = 1,602). Based on surveys administered to school administrators throughout the 2021–2022 school year, we found high levels of missingness data for school-level COVID-19 cases, quarantines, and student absenteeism, increasing missingness over time, and variations in missingness by school characteristics (e.g., school size) and protocols (e.g., having a school-based system to report at-home COVID-19 tests). For the same sample of schools, using data requests to health departments, we found similarly high levels of missingness of school-level COVID-19 case data and varying approaches in data collection. Developing nationally standardized case definitions—and systems to surveil or collect and monitor school-based infectious disease outcomes early in a public health emergency—may be helpful in producing actionable data.
Association Between Rapid Opioid Reduction or Discontinuation and Self-Harm, Suicide Attempt, and Suicide Death Among High-Dose Long-Term Opioid Therapy Patients in North Carolina, 2006-2018
Authors: Alam Ishrat Z , DiPrete Bethany L , Pence Brian W , Planey Arrianna Marie , Marshall Stephen W , Fulcher Naoko , Ranapurwala Shabbar I 
Published: October 2024

Abstract
We examined the association between rapid opioid reduction or discontinuation and self-harm, suicide attempt, and suicide death among high-dose long-term opioid therapy (HD-LTOT) patient and examined effect measure modification by individual and neighborhood-level characteristics. Using private insurance data from North Carolina, this retrospective cohort study covered January 2006 to September 2018, with up to four years of follow-up. Participants included patients aged 18-64 years who were prescribed HD-LTOT. Time-varying exposure was ever exposed to rapid opioid reduction or discontinuation vs never exposed. The outcomes were self-harm or suicide attempt, suicide death, and the combined outcome. We estimated cumulative incidence and used Fine-Gray models to estimate sub-distribution hazard ratios (HRs). There were 21,450 HD-LTOT patients. In year 1, rapid opioid reduction or discontinuation was not associated with the combined outcome, HR: 1.09 (95% CI: 0.61-1.96). However, in years 2-4, rapid opioid reduction or discontinuation was associated with higher hazard of the combined outcome, HR: 2.77 (95% CI: 1.45-5.27). This association was stronger among patients with mental health conditions and those residing in underserved neighborhoods. These findings underscore the importance of provider training in adhering to guideline-concordant gradual tapering, offering mental health support, and ensuring patient safety throughout the tapering process.
Neuromuscular monitoring: A tutorial for pharmacists
Authors: Linn Dustin D , Renew J Ross 
Published: October 2024

Abstract

Purpose
To describe neuromuscular monitoring modalities and highlight the importance of neuromuscular monitoring to clinical pharmacy practice.

Summary
A growing body of literature and clinical practice guidelines have highlighted the importance of neuromuscular monitoring practices to ensure patient safety during surgery and in the intensive care unit. Understanding neuromuscular monitoring modalities can allow pharmacists to enhance participation in institutional discussions and optimization of neuromuscular blocker administration and reversal practices. We have described the various modalities of neuromuscular monitoring and considerations for using different modalities.

Conclusion
Neuromuscular monitoring should be performed whenever neuromuscular blocking agents are administered. This practice represents an evidence-based approach to minimizing the occurrence of residual neuromuscular blockade and its associated complications.
Dual prostacyclin infusions: A case report of a patient symptom–driven transition from high-dose intravenous epoprostenol to subcutaneous treprostinil for the treatment of pulmonary arterial hypertension
Authors: Stone Jessica N , Kuebel Dalton J , Guido Maria R , Elwing Jean M , Jose Arun 
Published: October 2024

Abstract

Purpose
A case of successful transition from high-dose epoprostenol to high-dose subcutaneous treprostinil for treatment of pulmonary arterial hypertension (PAH) is reported.

Summary
PAH is a chronically progressive disease characterized by pulmonary artery luminal narrowing that causes increased pulmonary artery pressures leading to right ventricular failure. Parenteral prostacyclin analogues, such as epoprostenol and treprostinil, are direct vasodilators and are cornerstones of therapy for patients with severe disease that have been proven to reduce mortality and increase exercise tolerance. These agents must be administered continuously via intravenous or subcutaneous devices and are high-risk medications due to their potent vasodilatory actions. Chronic use of these medications requires constant attention from both providers and patients because of potential complications including central venous catheter infection, thromboembolism, therapy interruptions, and other undesirable consequences. This case report describes management of a 35-year-old male patient on high-dose outpatient intravenous epoprostenol (101 ng/kg/min; dosing weight, 47 kg) for treatment of PAH who was admitted to the hospital with a malfunctioning central venous catheter. Surrounding manipulation of the central catheter, the patient experienced an ischemic stroke that led to cognitive disability resulting in a lack of ability to manage his previously used home infusion device. The patient was successfully transitioned from intravenous epoprostenol to subcutaneous treprostinil (discharge dose, 200 ng/kg/min) over 5 days by infusing both medications simultaneously and adjusting doses based upon patient-reported symptoms.

Conclusion
This successful transition from high-dose epoprostenol to high-dose subcutaneous treprostinil demonstrates the importance in considering patient-specific factors during high-risk medication transitions, the value of a patient-directed flexible prostacyclin transition plan, and the benefit of institutional training and education in ensuring the safe use of parenteral prostacyclin analogues.
A note on e-values and multiple testing
Authors: Li Guanxun , Zhang Xianyang 
Published: October 2024

Summary
We discover a connection between the Benjamini–Hochberg procedure and the e-Benjamini–Hochberg procedure (Wang & Ramdas, 2022) with a suitably defined set of e-values. This insight extends to Storey’s procedure and generalized versions of the Benjamini–Hochberg procedure and the model-free multiple testing procedure of Barber & Candés (2015) with a general form of rejection rules. We further summarize these findings in a unified form. These connections open up new possibilities for designing multiple testing procedures in various contexts by aggregating e-values from different procedures or assembling e-values from different data subsets.
Cluster analysis identifies long COVID subtypes in Belgian patients
Authors: Mfouth Kemajou Pamela , Besse-Hammer Tatiana , Lebouc Claire , Coppieters Yves 
Published: October 2024

Abstract
Severe acute respiratory syndrome coronavirus infection presents complications known as long COVID, a multisystemic organ disease which allows multidimensional analysis. This study aims to uncover clusters of long COVID cases and establish their correlation with the clinical classification developed at the Clinical Research Unit of Brugmann University Hospital, Brussels. Such an endeavour is instrumental in customizing patient management strategies tailored to the unique needs of each distinct group. A two-stage multidimensional exploratory analysis was performed on a retrospective cohort of 205 long COVID patients, involving a factorial analysis of mixed data, and then hierarchical clustering post component analysis. The study's sample comprised 76% women, with an average age of 44.5 years. Three clinical forms were identified: long, persistent, and post-viral syndrome. Multidimensional analysis using demographic, clinical, and biological variables identified three clusters of patients. Biological data did not provide sufficient differentiation between clusters. This emphasizes the importance of identifying or classifying long COVID patients according to their predominant clinical syndrome. Long COVID phenotypes, as well as clinical forms, appear to be associated with distinct pathophysiological mechanisms or genetic predispositions. This underscores the need for further research.
Radiomic analysis of cohort-specific diagnostic errors in reading dense mammograms using artificial intelligence
Authors: Tao Xuetong , Gandomkar Ziba , Li Tong , Brennan Patrick C , Reed Warren M 
Published: October 2024

Abstract

Objectives
This study aims to investigate radiologists’ interpretation errors when reading dense screening mammograms using a radiomics-based artificial intelligence approach.

Methods
Thirty-six radiologists from China and Australia read 60 dense mammograms. For each cohort, we identified normal areas that looked suspicious of cancer and the malignant areas containing cancers. Then radiomic features were extracted from these identified areas and random forest models were trained to recognize the areas that were most frequently linked to diagnostic errors within each cohort. The performance of the model and discriminatory power of significant radiomic features were assessed.

Results
We found that in the Chinese cohort, the AUC values for predicting false positives were 0.864 (CC) and 0.829 (MLO), while in the Australian cohort, they were 0.652 (CC) and 0.747 (MLO). For false negatives, the AUC values in the Chinese cohort were 0.677 (CC) and 0.673 (MLO), and in the Australian cohort, they were 0.600 (CC) and 0.505 (MLO). In both cohorts, regions with higher Gabor and maximum response filter outputs were more prone to false positives, while areas with significant intensity changes and coarse textures were more likely to yield false negatives.

Conclusions
This cohort-based pipeline proves effective in identifying common errors for specific reader cohorts based on image-derived radiomic features.

Advances in knowledge
This study demonstrates that radiomics-based AI can effectively identify and predict radiologists' interpretation errors in dense mammograms, with distinct radiomic features linked to false positives and false negatives in Chinese and Australian cohorts.
Evolving SPECT-CT technology
Authors: Willowson Kathy P , Bailey Dale L 
Published: October 2024

Abstract
Both hardware and software developments have seen single photon emission CT (SPECT)/X-ray CT technology grow at a rapid rate. Such growth has been fuelled by the need for clinical applications and has provided inspiration for clinical developments, particularly with the expanding role of theranostics. Developments such as whole-body quantitative reconstructions, digital detectors, and recent multidetector 3D geometry have allowed SPECT to become comparable to PET on a number of fronts, with a particularly powerful role in biodistribution and dosimetry studies for both planning and evaluating radionuclide therapy. Whilst there remain fundamental challenges for SPECT such the limited spatial resolution and sensitivity, the unique opportunity to image long-lived radioisotopes and simultaneous multi-tracer studies, together with easily accessible equipment, makes SPECT/CT a valuable clinical asset. This review discusses developments in SPECT/CT technology and their clinical impact.
Opportunities and limits of image-based plant stress phenotyping: detecting plant salt stress status using machine learning techniques
Authors: Del Cioppo Giorgia , Scalabrino Simone , Scippa Gabriella Stefania , Trupiano Dalila 
Published: October 2024

Abstract
Plant stress phenotyping is a useful tool to facilitate targeted interventions and optimize management practices of plants growing in stressful conditions. However, various technical challenges still need to be overcome, though, and there is a clear need for investigating functional traits that can be used as a proxy for stress prediction, especially for abiotic stresses. This experimental work leveraged machine learning classification models to detect salt stress in two populations of a non-model species, combining image-based approaches (i.e. both manual and automated) and minimal morpho-physiological/biochemical analyses. A small set of specific features, combining malondialdehyde content with other non-destructive image-derived traits, such as Chroma Difference and Chroma Ratio indices, was able to distinguish non-stressed from stressed plants (2-class model; precision: 0.91) as well as stress intensity (3-class model; precision: 0.84). This flexible approach can be adapted to different plant developmental stages and leaf shape/morphology. In the future, the robustness and reliability of the models should be tested in other species and other abiotic stresses, such as drought.
Interleukin 11 therapy causes acute left ventricular dysfunction
Authors: Sweeney Mark , O’Fee Katie , Villanueva-Hayes Chelsie , Rahman Ekhlas , Lee Michael , Tam Chung Nga , Pascual-Navarro Eneko , Maatz Henrike , Lindberg Eric L , Vanezis Konstantinos , Ramachandra Chrishan J , Andrew Ivan , Jennings Emma R , Lim Wei-Wen , Widjaja Anissa A , Carling David , Hausenloy Derek J , Hübner Norbert , Barton Paul J R , Cook Stuart A 
Published: October 2024

Abstract

Aims
Interleukin 11 (IL11) was initially thought important for platelet production, which led to recombinant IL11 being developed as a drug to treat thrombocytopenia. IL11 was later found to be redundant for haematopoiesis, and its use in patients is associated with unexplained and severe cardiac side effects. Here, we aim to identify, for the first time, direct cardiomyocyte toxicities associated with IL11, which was previously believed cardioprotective.

Methods and results
We injected recombinant mouse lL11 (rmIL11) into mice and studied its molecular effects in the heart using immunoblotting, qRT-PCR, bulk RNA-seq, single nuclei RNA-seq (snRNA-seq), and assay for transposase-accessible chromatin with sequencing (ATAC-seq). The physiological impact of IL11 was assessed by echocardiography in vivo and using cardiomyocyte contractility assays in vitro. To determine the activity of IL11 specifically in cardiomyocytes, we made two cardiomyocyte-specific Il11ra1 knockout (CMKO) mouse models using either AAV9-mediated and Tnnt2-restricted (vCMKO) or Myh6 (m6CMKO) Cre expression and an Il11ra1 floxed mouse strain. In pharmacologic studies, we studied the effects of JAK/STAT inhibition on rmIL11-induced cardiac toxicities. Injection of rmIL11 caused acute and dose-dependent impairment of left ventricular ejection fraction (saline: 62.4% ± 1.9; rmIL11: 32.6% ± 2.9, P &lt; 0.001, n = 5). Following rmIL11 injection, myocardial STAT3 and JNK phosphorylation were increased and bulk RNA-seq revealed up-regulation of pro-inflammatory pathways (TNFα, NFκB, and JAK/STAT) and perturbed calcium handling. snRNA-seq showed rmIL11-induced expression of stress factors (Ankrd1, Ankrd23, Xirp2), activator protein-1 (AP-1) transcription factor genes, and Nppb in the cardiomyocyte compartment. Following rmIL11 injection, ATAC-seq identified the Ankrd1 and Nppb genes and loci enriched for stress-responsive, AP-1 transcription factor binding sites. Cardiomyocyte-specific effects were examined in vCMKO and m6CMKO mice, which were both protected from rmIL11-induced left ventricular impairment and molecular pathobiologies. In mechanistic studies, inhibition of JAK/STAT signalling with either ruxolitinib or tofacitinib prevented rmIL11-induced cardiac dysfunction.

Conclusions
Injection of IL11 directly activates IL11RA/JAK/STAT3 in cardiomyocytes to cause acute heart failure. Our data overturn the earlier assumption that IL11 is cardioprotective and explain the serious cardiac side effects associated with IL11 therapy.
Optimized biomedical entity relation extraction method with data augmentation and classification using GPT-4 and Gemini
Authors: Phan Cong-Phuoc , Phan Ben , Chiang Jung-Hsien 
Published: October 2024

Abstract
Despite numerous research efforts by teams participating in the BioCreative VIII Track 01 employing various techniques to achieve the high accuracy of biomedical relation tasks, the overall performance in this area still has substantial room for improvement. Large language models bring a new opportunity to improve the performance of existing techniques in natural language processing tasks. This paper presents our improved method for relation extraction, which involves integrating two renowned large language models: Gemini and GPT-4. Our new approach utilizes GPT-4 to generate augmented data for training, followed by an ensemble learning technique to combine the outputs of diverse models to create a more precise prediction. We then employ a method using Gemini responses as input to fine-tune the BioNLP–PubMed–Bert classification model, which leads to improved performance as measured by precision, recall, and F1 scores on the same test dataset used in the challenge evaluation.
Database URL: https://biocreative.bioinformatics.udel.edu/tasks/biocreative-viii/track-1/