bluuebunny/crossref_metadata_2025_split huggingface dataset:
Classifying seismograms using the FastMap algorithm and support-vector machines
Authors: White Malcolm C. A. , Sharma Kushal , Li Ang , Kumar T. K. Satish , Nakata Nori 
Published: July 2023

AbstractNeural networks and related deep learning methods are currently at the leading edge of technologies used for classifying complex objects such as seismograms. However they generally demand large amounts of time and data for model training and their learned models can sometimes be difficult to interpret. FastMapSVM is an interpretable machine learning framework for classifying complex objects, combining the complementary strengths of FastMap with support vector machines (SVMs) and extending the applicability of SVMs to domains with complex objects. FastMap is an efficient linear-time algorithm that maps complex objects to points in a Euclidean space while preserving pairwise domain-specific distances between them. Here we invoke FastMapSVM as a lightweight alternative to neural networks for classifying seismograms. We demonstrate that FastMapSVM outperforms other state-of-the-art methods for classifying seismograms when train data or time is limited. We also show that FastMapSVM can provide an insightful visualization of seismogram clustering behaviour and thus earthquake classification boundaries. We expect FastMapSVM to be viable for classification tasks in many other real-world domains.
The importance of rational institutionalism in the analysis of informal international institutions
Authors: Roger Charles , Snidal Duncan , Vabulas Felicity 
Published: July 2023

AbstractThe study of informal international institutions has advanced considerably over the past decade. Much of this work, including our own, has approached this phenomenon from the perspective of rationalist institutionalism. Yet, existing work has also been criticized from several conceptual, theoretical, and empirical angles. The recent special issue of International Politics on the “cascading dynamics” of informality by Cooper et al. (Int Politics, 2022,https://doi.org/10.1057/s41311-022-00399-4) offers an important example of such critiques. It builds on earlier work in the field, advancing our understanding of a number of processes and institutions, but also partly casts itself as a reaction to the approach we have adopted. We argue that key aspects of this critique are misguided and that Cooper et al. exaggerate the differences that divide us. Our aim in this article is to respond to their criticisms, clarify the key research issues at stake, emphasize the complementarities among approaches, and outline ways of moving forward.
The global burden of alcoholic liver disease: a systematic analysis of the global burden of disease study 2019
Authors: Zhang Nan , Xue Feng , Wu Xiao-Ning , Zhang Wei , Hou Jing-Jing , Xiang Jun-Xi , Lv Yi , Zhang Xu-Feng 
Published: July 2023

Abstract
Alcohol use is a major risk factor for the burden of mortality and morbidity. Alcoholic cirrhosis (AC) and alcoholic liver cancer (ALC) are most important and severe liver disease outcomes caused by alcohol use. The objectives of the current study were to investigate the global prevalence and burden of disease in disability-adjusted life years (DALYs) for AC and ALC, based on data from the Global Burden of Disease (GBD). Incidence, prevalence, death, and DALYs for GBDs in different locations, years, sex, and age groups were estimated using DisMod-MR 2.1 and a generic Cause of Death Ensemble Modeling approach. The correlations between the age-standardized incidence rate or age-standardized death rate and gender, sociodemographic index (SDI), and alcohol usage were conducted by Generalized Linear Models. Globally, the changes of age-standardized rates of indicators were not much significant over the 30-year period. However, the changes varied widely across regions. Central Asia and East Europe contributed the highest age-standardized incidence, prevalence, death, and DALYs and increased sharply by past 30 years. Generalized Linear Models (GLMs) showed male gender as a risk factor of AC, with the relative risk of incidence of 1.521 and relative risk of death of 1.503. Globally, there were improvements in overall health with regard to GBDs over the 30 years. However, the prevention of AC and ALC should be promoted in middle and middle-high SDI regions, especially Central Asia and East Europe, whereas more medical resources should be provided to improve treatment levels in low SDI region.
The role of plasticity, trade-offs, and feedbacks in shaping behavioral correlations
Authors: Dochtermann Ned A 
Published: July 2023

Abstract
How behaviors vary among individuals and covary with other behaviors has been a major topic of interest over the last two decades, particularly in research on animal personality, behavioral syndromes, and trade-offs with life-history traits. Unfortunately, proposed theoretical and conceptual frameworks explaining the seemingly ubiquitous observation of behavioral (co)variation have rarely successfully generalized. For example, the “pace-of-life syndrome hypothesis” proposes that behaviors, life-history, and physiological traits should be correlated in a predictable manner. However, these predictions are not consistently upheld. Two observations perhaps explain this failure: First, phenotypic correlations between behaviors are more strongly influenced by correlated and reversible plastic changes in behavior than by among-individual correlations which stem from the joint effects of genetics and developmental plasticity. Second, while trait correlations are frequently assumed to arise via trade-offs, the observed pattern of correlations is not consistent with simple pair-wise trade-offs. A possible resolution to the apparent inconsistency between observed correlations and a role for trade-offs is provided by state-behavior feedbacks. This is critical because the inconsistency between data and theory represents a major failure in our understanding of behavioral evolution. These two primary observations emphasize the importance of an increased research focus on correlated reversible plasticity in behavior—frequently estimated and then disregarded as within-individual covariances.
RDBridge: a knowledge graph of rare diseases based on large-scale text mining
Authors: Xing Huadong , Zhang Dachuan , Cai Pengli , Zhang Rui , Hu Qian-Nan 
Published: July 2023

Abstract

Motivation
Despite low prevalence, rare diseases affect 300 million people worldwide. Research on pathogenesis and drug development lags due to limited commercial potential, insufficient epidemiological data, and a dearth of publications. The unique characteristics of rare diseases, including limited annotated data, intricate processes for extracting pertinent entity relationships, and difficulties in standardizing data, represent challenges for text mining.

Results
We developed a rare disease data acquisition framework using text mining and knowledge graphs and constructed the most comprehensive rare disease knowledge graph to date, Rare Disease Bridge (RDBridge). RDBridge offers search functions for genes, potential drugs, pathways, literature, and medical imaging data that will support mechanistic research, drug development, diagnosis, and treatment for rare diseases.

Availability and implementation
RDBridge is freely available at http://rdb.lifesynther.com/.
PABPN1 promotes clear cell renal cell carcinoma progression by suppressing the alternative polyadenylation of SGPL1 and CREG1
Authors: Xiong Ming , Liu Chunyu , Li Wencheng , Jiang Huiling , Long Wulin , Zhou Menghao , Yang Chenlu , Kazobinka Gallina , Sun Yi , Zhao Jun , Hou Teng 
Published: July 2023

Abstract
Alternative polyadenylation (APA) is an important post-transcriptional regulatory mechanism in cancer development and progression. Poly(A) binding protein nuclear 1 (PABPN1) is a gene that encodes abundant nuclear protein, binds with high affinity to nascent poly(A) tails, and is crucial for 3ʹ-UTR (3ʹ-untranslated region) APA. Although PABPN1 has been recently reported as a dominant master APA regulator in clear cell renal cell carcinoma (ccRCC), the underlying functional mechanism remain unclear and the genes subject to PABPN1 regulation that contribute to ccRCC progression have not been identified. Here, we found that PABPN1 is upregulated in ccRCC, and its expression is highly associated with the clinical prognosis of ccRCC patients. PABPN1 promotes ccRCC cell proliferation, migration, invasion, and exerts an influence on sphingolipid metabolism and cell cycle. Moreover, PABPN1 depletion significantly suppressed cancer cell growth via induction of cell cycle arrest and apoptosis. In particular, we characterized PABPN1-regulated 3ʹ-UTR APA of sphingosine-1-phosphate lyase 1 (SGPL1) and cellular repressor of E1A stimulated genes 1 (CREG1), which contribute to ccRCC progression. Collectively, our data revealed that PABPN1 promotes ccRCC progression at least in part, by suppressing SGPL1 and CREG1. Thus, PABPN1 may be a potential therapeutic target in ccRCC.
‘Suddenly I was with my people’: two South African choirs contributing to community development
Authors: Joseph Dawn , Lamprecht Dorathea J , van Niekerk Caroline 
Published: July 2023

Abstract
Singing is a rich and dynamic part of South African cultural and national identity. The authors explore the identity of two choirs in the Cape Town metropole against the background of response to ongoing social change. The disparate yet similar choirs enhance the well-being of their members as communities and who sing for community. Community development as an outcome of community music is understood as process-driven. The Identity Process Theory serves as a useful integrative framework in which identity, social action and social change can be collectively examined with qualitative thematic analysis to code and analyse questionnaire and interview data (2017–2022). Three overarching themes are discussed, focusing on the experiences as perceived by research participants from the two choirs in relation to ‘singing as a music community’, ‘having a place to belong’ and ‘singing during COVID-19’. The discussion highlights differences, similarities, challenges and opportunities for these choirs in relation to community musicians, identity and place. Although generalizations to other choirs cannot necessarily be made, recommendations are offered, both for further research and of a practical nature. This paper argues that diverse forms of communal singing continue to play an important role in South Africa’s group identity for choirs, fostering hope for communities and their development. Notions of community development and community music should not become narrowly defined, excluding many choral groups and their contributions to society from the global conversation.
Improved Related-Key Rectangle Attacks On GIFT
Authors: Yu Qingyuan , Qin Lingyue , Dong Xiaoyang , Jia Keting 
Published: July 2023

Abstract
GIFT is a lightweight cipher proposed by Banik et al. at CHES’17, motivated by the design strategy of PRESENT. GIFT-64[2021] is a variant of GIFT proposed by Sun et al. at EUROCRYPT’22 to achieve better resistance against differential attack while maintaining a similar security level against linear attack. At EUROCRYPT’22, Dong et al. proposed a new rectangle framework considering the key guessing strategies for linear key-schedule ciphers, and established a uniform automatic search model for the whole rectangle attack. In this paper, we extend it to be applicable to bit-oriented ciphers, and construct an automatic search model involved in the distinguisher and key-recovery phase for GIFT. Moreover, we utilize the key relations of the linear key-schedule to the model, and find some new distinguishers both for GIFT-64 and GIFT-64[2021]. To evaluate the probability more accurately, we propose a method to calculate the probability of the 2-round middle part which connects the boomerang distinguisher for GIFT, and apply it with the SAT method to evaluate the probability of the whole distinguishers. As a result, we search out a new 20-round related-key boomerang distinguisher for GIFT-64, and achieve a 26-round attack with better time complexity than the best previous attack. For GIFT-64[2021], we find a 20-round boomerang distinguisher and give the first 26-round rectangle attack under related-key scenario.
Cohort profile: Evaluation of the Methods and Management of Acute Coronary Events (EMMACE) longitudinal cohort
Authors: Munyombwe Theresa , Dondo Tatendashe B , Hall Marlous , Nadarajah Ramesh , Hurdus Ben , Aktaa Suleman , Haris Mohammad , Keeley Adam , West Robert , Hall Alistair , Soloveva Anzhela , Norman Paul , Gale Chris P 
Published: July 2023

Abstract

Aims
The Evaluation of the Methods and Management of Acute Coronary Events (EMMACE) longitudinal cohort study aims to investigate health trajectories of individuals following hospitalization for myocardial infarction (MI).

Methods and results
EMMACE is a linked multicentre prospective cohort study of 14 899 patients with MI admitted to 77 hospitals in England who participated in the EMMACE-3 and -4 studies between 1st November 2011 and 24th June 2015. Long-term follow-up of the EMMACE cohorts was conducted through the EMMACE-XL (27th September 2020 to 31st March 2022) and EMMACE-XXL (1st July 2021 to 1st July 2023) studies. EMMACE collected individual participant data for health-related quality of life (HRQoL) measured by three-level EuroQol five-dimension and visual analogy scale at admission, 1 month, 6 months, 12 months, and 10 years follow-up, as well as medications, medication adherence, beliefs about medicines, Satisfaction with Information about Medicines Scale, and illness perceptions. Participant data were deterministically linked to the Myocardial Infarction National Audit Project (MINAP) for information on baseline treatments and comorbidities, Hospital Episode Statistics Admitted Patient Care (for cause-specific hospitalization data), and the Office for National Statistics (for mortality data) up to 2020.

Conclusion
EMMACE is a nationwide prospective cohort that will provide unique insights into fatal and non-fatal outcomes, medication adherence, and HRQoL following MI.
Trial registration: ClinicalTrials.gov NCT01808027 and NCT01819103
Diagnostic management of acute pulmonary embolism: a prediction model based on a patient data meta-analysis
Authors: van Es Nick , Takada Toshihiko , Kraaijpoel Noémie , Klok Frederikus A , Stals Milou A M , Büller Harry R , Courtney D Mark , Freund Yonathan , Galipienzo Javier , Le Gal Grégoire , Ghanima Waleed , Huisman Menno V , Kline Jeffrey A , Moons Karel G M , Parpia Sameer , Perrier Arnaud , Righini Marc , Robert-Ebadi Helia , Roy Pierre-Marie , Wells Phil S , de Wit Kerstin , van Smeden Maarten , Geersing Geert-Jan 
Published: July 2023

Abstract

Aims
Risk stratification is used for decisions regarding need for imaging in patients with clinically suspected acute pulmonary embolism (PE). The aim was to develop a clinical prediction model that provides an individualized, accurate probability estimate for the presence of acute PE in patients with suspected disease based on readily available clinical items and D-dimer concentrations.

Methods and results
An individual patient data meta-analysis was performed based on sixteen cross-sectional or prospective studies with data from 28 305 adult patients with clinically suspected PE from various clinical settings, including primary care, emergency care, hospitalized and nursing home patients. A multilevel logistic regression model was built and validated including ten a priori defined objective candidate predictors to predict objectively confirmed PE at baseline or venous thromboembolism (VTE) during follow-up of 30 to 90 days. Multiple imputation was used for missing data. Backward elimination was performed with a P-value &lt;0.10. Discrimination (c-statistic with 95% confidence intervals [CI] and prediction intervals [PI]) and calibration (outcome:expected [O:E] ratio and calibration plot) were evaluated based on internal-external cross-validation. The accuracy of the model was subsequently compared with algorithms based on the Wells score and D-dimer testing. The final model included age (in years), sex, previous VTE, recent surgery or immobilization, haemoptysis, cancer, clinical signs of deep vein thrombosis, inpatient status, D-dimer (in µg/L), and an interaction term between age and D-dimer. The pooled c-statistic was 0.87 (95% CI, 0.85–0.89; 95% PI, 0.77–0.93) and overall calibration was very good (pooled O:E ratio, 0.99; 95% CI, 0.87–1.14; 95% PI, 0.55–1.79). The model slightly overestimated VTE probability in the lower range of estimated probabilities. Discrimination of the current model in the validation data sets was better than that of the Wells score combined with a D-dimer threshold based on age (c-statistic 0.73; 95% CI, 0.70–0.75) or structured clinical pretest probability (c-statistic 0.79; 95% CI, 0.76–0.81).

Conclusion
The present model provides an absolute, individualized probability of PE presence in a broad population of patients with suspected PE, with very good discrimination and calibration. Its clinical utility needs to be evaluated in a prospective management or impact study.

Registration
PROSPERO ID 89366.
Seismic stereometry: an alternative two-station algorithm to seismic interferometry for analysing car-generated seismic signals
Authors: Sheng Y 
Published: July 2023

SUMMARY
Human activities generate seismic waves, which have been traditionally analysed by seismic interferometry. However, this processing technique often neglects the seismic source distribution and is prone to introducing biases in interpretations. This study proposes an alternative processing technique known as seismic stereometry to analyse seismic signals generated by cars. The proposed algorithm exploits the highly coherent wavefields recorded by dense seismic arrays and directly measures the seismic wave traveltime differences between sensors. By doing so, it intrinsically considers the seismic source distribution. Traveltime differences can be used to invert the positions of vehicles and the near-surface velocity structures. We demonstrate the analysis using a dense seismic array deployed atop a southern San Andreas Fault segment and invert the shallow S-wave velocity using seismic waves generated by only one car. The velocity inversion result reveals a clear contrast across the fault, consistent with previous studies. The developed technique, combined with the distributed acoustic sensing technology, has great potential for applications in the urban environment.
The development of a marker system for Pharmacists’ Behavioural Skills
Authors: Smith Samantha Eve , Kerins Joanne , McColgan-Smith Scott , Stewart Fiona , Power Ailsa , Mardon Julie , Tallentire Victoria Ruth 
Published: July 2023

Abstract

Objectives
Pharmacists increasingly require complex behavioural skills to fulfil enhanced roles within healthcare teams. Behavioural marker systems are used to assess behavioural (or non-technical) skills during immersive simulation. This study aimed to develop a marker system for pharmacists’ behavioural skills in patient-focussed care scenarios, and to investigate its content validity.

Methods
Literature describing existing marker systems and the requisite behavioural skills of pharmacists were presented to two expert panels, alongside video examples of pharmacists in patient-focussed care simulations. The expert panels used this information to develop a new behavioural marker system. A third expert panel assessed the content validity, and the item- and scale-content validity indices were calculated.

Key findings
The resulting tool contains four categories, each with three or four skill elements: situation awareness (gathering information; recognising and understanding information; anticipating, preparing and planning), decision-making and prioritisation (identifying options; prioritising; dealing with uncertainty; implementing or reviewing decisions), collaborative working (involving the patient; information sharing; leadership or followership), self-awareness (role awareness; speaking up; escalating care; coping with stress). The scale-content validity index was 0.95 (ideal) and the only item below the acceptable cut-off was ‘leadership or followership’ (0.7).

Conclusions
This tool is the first marker system designed to assess the behavioural skills of pharmacists in patient-focussed care scenarios. There is evidence of good content validity. It is hoped that once validated, the Pharmacists’ Behavioural Skills marker system will enable pharmacy educators to provide individualised and meaningful feedback on simulation participants’ behavioural skills.
Optimal reinsurance contract and investment strategy for multiple competitive-cooperative insurers and a reinsurer
Authors: Wang Tao , Chen Zhiping , Yang Peng 
Published: July 2023

Abstract
Accepted by: Giorgio Consigli
In this article, we consider a reinsurance contract design by taking into account the joint interests of multiple insurers and a reinsurer. The reinsurance contract consists of optimal reinsurance strategies and reinsurance prices. The former are chosen by the competitive–cooperative insurers and the latter are determined by a reinsurer. Both insurers and the reinsurer can invest in the common risk-free asset and one different risky asset. The optimal time-consistent reinsurance–investment strategies of the insurers and the optimal reinsurance prices and investment strategy of the reinsurer are derived analytically. Numerical experiments are carried out to illustrate the influences of model parameters on the optimal reinsurance contract and optimal investment strategies. We find that the establishment of the reinsurance contract is affected by the correlation between the claim sizes of insurers as well as that of claim numbers. The results reveal that competition and cooperation will lead to a decrease and increase of the reinsurance price, respectively, showing the importance of opting for cooperation among insurers. Both competition and cooperation are beneficial to insurers, especially for those with high risk aversion.
Rapid expansion of Neisseria gonorrhoeae ST7827 clone in Australia, with variable ceftriaxone phenotype unexplained by genotype
Authors: van Hal S J , Whiley D M , Le T , Ray S , Kundu R L , Kerr E , Lahra M M 
Published: July 2023

Abstract

Background
Neisseria gonorrhoeae is identified as a priority pathogen due to its capacity to rapidly develop antimicrobial resistance (AMR). Following the easing of SARS-CoV-2 pandemic travel restrictions across international borders in the state of New South Wales (NSW), Australia, a surge of gonococcal isolates with raised ceftriaxone MIC values were detected.

Methods
All N. gonorrhoeae isolates (n = 150) with increased ceftriaxone MIC values in NSW between 1 January 2021 and July 2022 from males and females from all sites were sequenced.

Results
A new emergence and rapid expansion of an N. gonorrhoeae ST7827 clone was documented within NSW, Australia and provides further evidence of the ability of N. gonorrhoeae to undergo sufficient genomic changes and re-emerge as a geographically restricted subclone. Mapping AMR determinants to MIC results did not reveal any genomic pattern that correlated with MIC values.

Conclusions
The rapid dissemination and establishment of this clone at the population level is a new and concerning demonstration of the agility of this pathogen, and underscores concerns about similar incursions and establishment of MDR clones. Moreover, it is notable that in this context the AMR genotype–phenotype correlates remain unclear, which requires further investigation to enable better understanding of genomic aspects of AMR in N. gonorrhoeae.