bluuebunny/crossref_metadata_2025_split huggingface dataset:
Excess mortality in Denmark, Finland, Norway and Sweden during the COVID-19 pandemic 2020–2022
Authors: Forthun Ingeborg , Madsen Christian , Emilsson Louise , Nilsson Anton , Kepp Kasper P , Björk Jonas , Vollset Stein Emil , Lallukka Tea , Skrindo Knudsen Ann Kristin 
Published: May 2024

Abstract

Background
The Nordic countries represent a unique case study for the COVID-19 pandemic due to socioeconomic and cultural similarities, high-quality comparable administrative register data and notable differences in mitigation policies during the pandemic. We aimed to compare weekly excess mortality in the Nordic countries across the three full pandemic years 2020–2022.

Methods
Using data on weekly all-cause mortality from official administrative registers in Denmark, Finland, Norway and Sweden, we employed time series regression models to assess mortality developments within each pandemic year, with the period 2010–2019 used as reference period. We then compared excess mortality across the countries in 2020–2022, taking differences in population size and age- and sex-distribution into account. Results were age- and sex-standardized to the Danish population of 2020. Robustness was examined with a variety of sensitivity analyses.

Results
While Sweden experienced excess mortality in 2020 [75 excess deaths per 100 000 population (95% prediction interval 29–122)], Denmark, Finland and Norway experienced excess mortality in 2022 [52 (14–90), 130 (83–177) and 88 (48–128), respectively]. Weekly death data reveal how mortality started to increase in mid-2021 in Denmark, Finland and Norway, and continued above the expected level through 2022.

Conclusion
Although the Nordic countries experienced relatively low pandemic excess mortality, the impact and timing of excess mortality differed substantially. These estimates—arguably the most accurate available for any region in capturing pandemic-related excess deaths—may inform future research and policy regarding the complex mortality dynamics in times of a health crisis such as the COVID-19 pandemic.
Evaluation of ERCP-related perforation: a single-center retrospective study
Authors: Zhou Feng , Zhan Xiaoyun , Hu Dan , Wu Nanzhen , Hong Junbo , Li Guohua , Chen Youxiang , Zhou Xiaojiang 
Published: May 2024

Abstract

Background
Endoscopic retrograde cholangiopancreatography (ERCP)-related perforation is a rare and serious adverse event. The aim of our study was to evaluate the risk factors and management of ERCP-related perforation, and to further determine the predictive factors associated with perforation outcome.

Methods
A total of 27,018 ERCP procedures performed at the First Affiliated Hospital of Nanchang University (Nanchang, China) between January 2007 and March 2022 were included in the investigation of ERCP-related perforation. Medical records and endoscopic data were extracted to analyse the risk factors, management, and clinical outcome of ERCP-related perforation.

Results
Seventy-six patients (0.28%) were identified as having experienced perforation following ERCP. Advanced age, Billroth II anatomy, precut sphincterotomy, and papillary balloon dilatation were significantly associated with ERCP-related perforation. Most patients with perforation (n = 65) were recognized immediately during ERCP whereas 11 were recognized later on. The delay in recognition primarily resulted from stent migration (n = 9). In addition, 12 patients experienced poor clinical outcome including death or hospice discharge (n = 3), ICU admission for &gt;3 days (n = 6), and prolonged hospital stay for &gt;1 month due to perforation (n = 3). Cancer and systemic inflammatory response syndrome (SIRS) are associated with a higher risk of poor outcome.

Conclusions
Advanced age, Billroth II anatomy, precut sphincterotomy, and balloon dilation increase the risk of ERCP-related perforation whereas cancer and SIRS independently predicted poor clinical outcome.
Cropland Microclimate and Leaf-nesting Behavior Shape the Growth of Caterpillar under Future Warming
Authors: Wang Ling , Xing Shuang , Chang Xinyue , Ma Liang , Wenda Cheng 
Published: May 2024

Synopsis
Predicting performance responses of insects to climate change is crucial for biodiversity conservation and pest management. While most projections on insects’ performance under climate change have used macro-scale weather station data, few incorporated the microclimates within vegetation that insects inhabit and their feeding behaviors (e.g., leaf-nesting: building leaf nests or feeding inside). Here, taking advantage of relatively homogenous vegetation structures in agricultural fields, we built microclimate models to examine fine-scale air temperatures within two important crop systems (maize and rice) and compared microclimate air temperatures to temperatures from weather stations. We deployed physical models of caterpillars and quantified effects of leaf-nesting behavior on operative temperatures of two Lepidoptera pests: Ostrinia furnacalis (Pyralidae) and Cnaphalocrocis medinalis (Crambidae). We built temperature-growth rate curves and predicted the growth rate of caterpillars with and without leaf-nesting behavior based on downscaled microclimate changes under different climate change scenarios. We identified widespread differences between microclimates in our crop systems and air temperatures reported by local weather stations. Leaf-nesting individuals in general had much lower body temperatures compared to non-leaf-nesting individuals. When considering microclimates, we predicted leaf-nesting individuals grow slower compared to non-leaf-nesting individuals with rising temperature. Our findings highlight the importance of considering microclimate and habitat-modifying behavior in predicting performance responses to climate change. Understanding the thermal biology of pests and other insects would allow us to make more accurate projections on crop yields and biodiversity responses to environmental changes.
Fisheries independent surveys in a new era of offshore wind energy development
Authors: Lipsky Andy , Silva Angela , Gilmour Fiona , Arjona Yolanda , Hogan Fiona , Lloret Josep , Bolser Derek , Haase Stefanie , Oesterwind Daniel , ten Brink Talya , Roach Michael , Ford Kathryn 
Published: May 2024

Abstract
Fisheries independent surveys require rethinking because of increasing spatial restrictions and interactions with offshore wind energy development (OWD). Fisheries, protected species, and environmental data collections have been conducted by scientific institutions to meet societal demands for food security, conservation, and other marine uses. These data collections provide information on key resource measures, essential for fisheries, protected species, and ecosystem management. With the increase in pace and magnitude of OWD's industrialization of marine waters, disruptions in these long-term time series can be expected. These disruptions will impact the ability to support current and future management goals and objectives. This paper presents an expert survey on the perceptions of OWD interactions with common survey designs and survey methodologies in Europe and the U.S., along with a selected sample of 75 fisheries independent surveys in the U.S. and Europe providing an initial assessment and description of potential impacts from OWD. About 72% of the surveys sampled record interactions with operational, planned or future OWD. Four case studies demonstrate efforts to address these interactions within European regions that have operational OWD and the U.S. where development has just begun. Finally, we make recommendations for future research important to continue meaningful scientific-based management advice.
Global epidemiology and antimicrobial resistance of Enterobacterales harbouring genes encoding OXA-48-like carbapenemases: insights from the results of the Antimicrobial Testing Leadership and Surveillance (ATLAS) programme 2018–2021
Authors: Lee Yu-Lin , Wang Wei-Yao , Ko Wen-Chien , Hsueh Po-Ren 
Published: May 2024

Abstract

Objectives
The recent emergence of carbapenem-resistant Enterobacterales poses a major and escalating threat to global public health. This study aimed to analyse the global distribution and antimicrobial resistance of Enterobacterales harbouring variant OXA-48-like carbapenemase-related genes.

Methods
Enterobacterales isolates were collected from the Antimicrobial Testing Leadership and Surveillance (ATLAS) programme during 2018–2021. Comprehensive antimicrobial susceptibility testing and β-lactamase gene detection were also conducted, along with statistical analysis of the collected data.

Results
Among the 72 244 isolates, 1934 Enterobacterales isolates were identified to harbour blaOXA-48-like genes, predominantly Klebsiella spp. (86.9%). High rates of multidrug resistance were observed, with only ceftazidime/avibactam and tigecycline showing favourable susceptibility. A discrepancy between the genotype and phenotype of carbapenem resistance was evident: 16.8% (233 out of 1384) of the Enterobacterales isolates with blaOXA-48-like genes exhibited susceptibility to meropenem. Specifically, 37.4% (64/95) of Escherichia coli strains with blaOXA-48-like genes displayed meropenem susceptibility, while the corresponding percentages for Klebsiella pneumoniae and Enterobacter cloacae complex were 25.2% (160/1184) and 0% (0/36), respectively (P &lt; 0.05). Geographical analysis revealed that the highest prevalence of blaOXA-48-like genes occurred in Asia, the Middle East and Eastern Europe. The proportion of K. pneumoniae isolates harbouring blaOXA-232 increased from 23.9% in 2018 to 56.0% in 2021. By contrast, the proportion of blaOXA-48 decreased among K. pneumoniae isolates during 2018–2021.

Conclusions
This study underscores the widespread and increasing prevalence of blaOXA-48-like genes in Enterobacterales and emphasizes the need for enhanced surveillance, improved diagnostic methods and tailored antibiotic stewardship to combat the spread of these resistant pathogens.
A multi-task learning network based on the Transformer network for airborne electromagnetic detection imaging and denoising
Authors: Liu Yajie , Zhang Yan , Guo Cheng , Zhang Song , Kang Houqin , Zhao Qing 
Published: May 2024

Abstract
As an emerging geophysical exploration technology in recent years, airborne electromagnetic exploration has the advantages of adapting to diverse terrains, wide coverage, and providing a large amount of electromagnetic data, and can be applied to the rapid collection of large amounts of data. Scenarios are often used in fields such as deep geological structures, mineral resource exploration, and environmental engineering research. However, traditional airborne electromagnetic data inversion technology usually takes a long time to process a large amount of airborne electromagnetic data, and it is difficult to remove the noise in the later signals. Therefore, this paper proposes a multi-task learning network structure based on Transformer. By constraining the two network branches of imaging and denoising, a sub-network with simultaneous denoising and imaging is established to process aeronautical electromagnetic data. The noise test set is introduced for testing. This model achieved a 582.61% signal-to-noise ratio improvement in smooth Gaussian noise denoising, and a 129.69% and 112.74% signal-to-noise ratio improvement in non-smooth Gaussian noise and random impulse noise denoising, respectively. The method proposed in this article overcomes the shortcomings of traditional inversion imaging such as slow speed and low resolution, and at the same time eliminates the influence of noise in airborne electromagnetic data. This is of great significance for the application of deep learning in the field of geophysical exploration.
Source code obfuscation with genetic algorithms using LLVM code optimizations
Authors: de la Torre Juan Carlos , Jareño Javier , Aragón-Jurado José Miguel , Varrette Sébastien , Dorronsoro Bernabé 
Published: May 2024

Abstract
With the advent of the cloud computing model allowing a shared access to massive computing facilities, a surging demand emerges for the protection of the intellectual property tied to the programs executed on these uncontrolled systems. If novel paradigm as confidential computing aims at protecting the data manipulated during the execution, obfuscating techniques (in particular at the source code level) remain a popular solution to conceal the purpose of a program or its logic without altering its functionality, thus preventing reverse-engineering on the program even with the help of computing resources. The many advantages of code obfuscation, together with its low cost, makes it a popular technique. This paper proposes a novel methodology for source code obfuscation that can be used together with other traditional obfuscation techniques, making the code more robust against reverse engineering attacks. Three program complexity metrics are used to define three different single-objective combinatorial optimization versions of the problem, which are solved and analysed. Additionally, three multi-objective problems are defined, those considering each of the selected metrics together with the program execution time, in order to avoid strong obfuscations penalizing the performance. The goal of the defined problems is to find sequences of LLVM optimizations that lead to highly obfuscated versions of the original code. These transformations are applied to the back-end pseudo-assembly code (i.e., LLVM Intermediate Representation), thus avoiding any further optimizations by the compiler. Classical genetic algorithms (GAs) are used to solve the studied problems, namely a basic cellular GA for the single-objective problems and the popular NSGA-II for the multi-objective ones. The promising results show the potential of the proposed technique.
Records of fleas (Siphonaptera) from Delaware
Authors: Kennedy Ashley C , Winter Wil S , Gardner Alfred L , Woodman Neal , Shifflett Scarlet A , Redus Sierra , Newcomer Jeffrey R , Eckerlin Ralph P 
Published: May 2024

Abstract
We present an annotated checklist of fleas (Siphonaptera) known to occur in the state of Delaware based on an examination of Siphonaptera collections at the University of Delaware and the Carnegie Museum of Natural History, as well as new specimens of fleas we collected from wildlife, other hosts, and tick flags. We review published records and compile them herein with our new records, which include 3 species previously unreported from Delaware. With these additions, there are now 18 flea species from 19 avian and mammalian hosts documented from Delaware.
Cost-Effectiveness of Pediatric Conjunctivitis Management and Return to Childcare and School Strategies: A Comparative Study
Authors: Frost Holly M , Stein Amy B , Keith Amy , Jenkins Timothy C 
Published: May 2024

Abstract

Background
Infectious conjunctivitis affects 1 in 8 children annually, resulting in high ophthalmic antibiotic prescribing and absenteeism from childcare and school. We aimed to quantify the cost-effectiveness and annual savings of 3 evidence-based approaches to conjunctivitis management and return to childcare and school compared to usual care.

Methods
Using a decision analytic model from a societal perspective over a 1-year time horizon, we conducted a cost-effectiveness analysis of 3 management strategies for children aged 6 months to 17 years with non-severe conjunctivitis compared to usual care in the United States. Strategies accounted for rate of transmission. Strategies included (1) refraining from prescribing ophthalmic antibiotics for non-severe conjunctivitis, (2) allowing children without systemic symptoms to attend childcare and school, (3) and the combined approach of refraining from prescribing ophthalmic antibiotics and allowing children without systemic symptoms to attend childcare and school.

Results
The estimated annual expenditure for pediatric conjunctivitis was $1.95 billion. Usual care was the most expensive ($212.73/episode), followed by refraining from ophthalmic antibiotic prescribing ($199.92) and allowing children without systemic symptoms to attend childcare and school ($140.18). The combined approach was the least costly ($127.38). Disutility was similar between approaches (quality-adjusted life days 0.271 vs 0.274). Refraining from antibiotic prescribing and the combination approach were dominant compared to usual care. The combined approach resulted in an estimated $783 million annual savings and 1.6 million ophthalmic antibiotic courses averted.

Conclusions
Conjunctivitis poses an economic burden that could be reduced by refraining from ophthalmic antibiotic use and allowing children without systemic symptoms to remain at school or childcare.
Similar chilling response of dormant buds in potato tuber and woody perennials
Authors: Roitman Marina , Eshel Dani 
Published: May 2024

Abstract
Bud dormancy is a survival strategy that plants have developed in their native habitats. It helps them endure harsh seasonal changes by temporarily halting growth and activity until conditions become more favorable. Research has primarily focused on bud dormancy in tree species and the ability to halt growth in vegetative tissues, particularly in meristems. Various plant species, such as potato, have developed specialized storage organs, enabling them to become dormant during their yearly growth cycle. Deciduous trees and potato tubers exhibit a similar type of bud endodormancy, where the bud meristem will not initiate growth, even under favorable environmental conditions. Chilling accumulation activates C-repeat/dehydration responsive element binding (DREB) factors (CBFs) transcription factors that modify the expression of dormancy-associated genes. Chilling conditions shorten the duration of endodormancy by influencing plant hormones and sugar metabolism, which affect the timing and rate of bud growth. Sugar metabolism and signaling pathways can interact with abscisic acid, affecting the symplastic connection of dormant buds. This review explores how chilling affects endodormancy duration and explores the similarity of the chilling response of dormant buds in potato tubers and woody perennials.
Exploring Schizophrenia Classification Through Multimodal MRI and Deep Graph Neural Networks: Unveiling Brain Region-Specific Weight Discrepancies and Their Association With Cell-Type Specific Transcriptomic Features
Authors: Gao Jingjing , Qian Maomin , Wang Zhengning , Li Yanling , Luo Na , Xie Sangma , Shi Weiyang , Li Peng , Chen Jun , Chen Yunchun , Wang Huaning , Liu Wenming , Li Zhigang , Yang Yongfeng , Guo Hua , Wan Ping , Lv Luxian , Lu Lin , Yan Jun , Song Yuqing , Wang Huiling , Zhang Hongxing , Wu Huawang , Ning Yuping , Du Yuhui , Cheng Yuqi , Xu Jian , Xu Xiufeng , Zhang Dai , Jiang Tianzai 
Published: May 2024

Abstract

Background and Hypothesis
Schizophrenia (SZ) is a prevalent mental disorder that imposes significant health burdens. Diagnostic accuracy remains challenging due to clinical subjectivity. To address this issue, we explore magnetic resonance imaging (MRI) as a tool to enhance SZ diagnosis and provide objective references and biomarkers. Using deep learning with graph convolution, we represent MRI data as graphs, aligning with brain structure, and improving feature extraction, and classification. Integration of multiple modalities is expected to enhance classification.

Study Design
Our study enrolled 683 SZ patients and 606 healthy controls from 7 hospitals, collecting structural MRI and functional MRI data. Both data types were represented as graphs, processed by 2 graph attention networks, and fused for classification. Grad-CAM with graph convolution ensured interpretability, and partial least squares analyzed gene expression in brain regions.

Study Results
Our method excelled in the classification task, achieving 83.32% accuracy, 83.41% sensitivity, and 83.20% specificity in 10-fold cross-validation, surpassing traditional methods. And our multimodal approach outperformed unimodal methods. Grad-CAM identified potential brain biomarkers consistent with gene analysis and prior research.

Conclusions
Our study demonstrates the effectiveness of deep learning with graph attention networks, surpassing previous SZ diagnostic methods. Multimodal MRI’s superiority over unimodal MRI confirms our initial hypothesis. Identifying potential brain biomarkers alongside gene biomarkers holds promise for advancing objective SZ diagnosis and research in SZ.
On the last European giraffe, Palaeotragus inexspectatus (Mammalia: Giraffidae); new remains from the Early Pleistocene of Greece and a review of the species
Authors: Laskos Kostantis , Kostopoulos Dimitris S 
Published: May 2024

Abstract
Eurasian Giraffidae went through a drastic biodiversity decline after the Miocene–Pliocene boundary; scanty palaeotragine populations are likely to have survived in Central Asia, providing the necessary stock for a Late Pliocene–Early Pleistocene expansion from Central Asia to Spain and from the Mediterranean to southern Russia. Here, we describe new giraffid findings from the Greek middle Villafranchian faunas of Dafnero-3 and Volax and from the late Villafranchian faunas of Tsiotra Vryssi and Krimni-3, and we revise previous material from Dafnero-1. Our results support the synonymy of almost all the Villafranchian Eurasian giraffids under a single species of Palaeotragus, i.e. Palaeotragus inexspectatus, and allow us to improve its diagnosis. The orientation of the ossicones and the relative shortening of the lower premolar row might indicate affinities to some Late Miocene–Pliocene Palaeotragus from China. Our study suggests that P. inexspectatus was equally abundant at MNQ17 and MNQ18 in the Eastern Mediterranean and that its extinction after MNQ19 was probably attributable to the combination of the climatic and environmental turnover at the Villafranchian–Epivillafranchian boundary, along with the competition with emerging ruminant groups, such as giant cervids. A preliminary analysis of its palaeoecology suggests a giraffid more involved in grazing than its Late Miocene relatives.