bluuebunny/crossref_metadata_2025_split huggingface dataset:
Proposal of statistical twin as a transition to full digital twin technology for cardiovascular interventions
Authors: Sardari Nia Peyman , Ganushchak Yuri , Maessen Jos 
Published: March 2024

Abstract

OBJECTIVES
We introduced statistical twin as aggregates of multiple virtual patients’ data throughout the treatment at any chosen time point. The goal of this manuscript was to provide the proof of concept of statistical twin by evaluating the feasibility of detection of distinctive aggregates of patients throughout the perioperative trajectory (prerequisite for development of statistical twin).

METHODS
We used a retrospective validated cohort of all comers with mitral valve disease treated (2014–2020) at a tertiary academic hospital. The end point was overall survival based on the decision of the heart team. We applied two-step cluster analysis to detect distinct aggregated virtual patients throughout the process of care.

RESULTS
The cluster procedure resulted in 5 distant clusters with relatively equal numbers of patients. Effects of the treatment (surgery, transcatheter or optimal medical therapy) on survival were as follows: For optimal medical therapy, the expected survival ranged from 95% to 96% in 30 days to 58% to 75% in 10 years independent of baseline characteristics. However, for transcatheter interventions, the 5-year survival was 60–92% and was dependant on the initial characteristics of the virtual patient. Furthermore, survival following an uncomplicated operation of normal duration was higher through all observation periods. The aggregated virtual patients of cluster 5 would have a better survival rate at all times if the intervention were done by a dedicated surgeon.

CONCLUSIONS
It is possible to detect distinctive aggregates of virtual patients based on baseline characteristics and to capture the impact of perioperative events and external and other factors at multiple time points throughout the postoperative phase.
Study on the impact of digital finance on agricultural carbon emissions from a spatial perspective: an analysis based on provincial panel data
Authors: Bao Bingfei , Fei Baoxiang , Ren Gaigai , Jin Shengtian 
Published: March 2024

Abstract
China is committed to achieving the goal of ‘carbon peaking and carbon neutrality’, which requires reducing carbon emissions from various sectors, especially agriculture. Agriculture is a major source of greenhouse gas emissions, and its carbon intensity is influenced by many factors, including the development of digital finance. Digital finance, as an important driver of economic growth and technological innovation, can affect the carbon emissions of agricultural production and consumption through various channels. However, the existing literature has not paid enough attention to the spatial effects of digital finance on agricultural carbon emissions, which may lead to biased estimates and policy implications. Therefore, this paper aims to fill this gap by using the Spatial Durbin Model to analyze the impact of digital finance on agricultural carbon emissions from a spatial perspective, based on the provincial panel data of 28 provinces (municipalities and autonomous regions) in China from 2011 to 2020. The main findings are as follows: (1) The development of digital finance has a positive and significant effect on China’s agricultural carbon emissions, and this effect is robust to different spatial weight matrices. (2) The impact mechanism of digital finance on agricultural carbon emissions is mainly through affecting the spatial spillover of carbon emissions and the cross-regional financial coordination. Based on these results, this paper provides some policy suggestions for achieving the goal of ‘carbon peaking and carbon neutrality’ in China’s agricultural sector.
Immunoassay Testing of Alpha-Gal Specific Immunoglobulin-E: Data from a National Reference Laboratory
Authors: Saadalla Abdulrahman , Jacela Jessica , Poll Rick , Slev Patricia 
Published: March 2024

Abstract

Background
Immunoassay measurements of serum alpha-gal (AG) specific IgE (sIgE) enable antibody detection and quantification with high sensitivity and specificity and are essential for AG syndrome diagnosis and patient management. We here present and analyze results from over 15 000 patient serum samples tested using the ImmunoCAP (Thermo/Phadia) assay.

Methods
AG-sIgE levels and positivity rates were correlated to patient age, gender, geographic location, repeat testing results, sIgE levels to co-tested red meat whole allergen extracts, and Rocky Mountain spotted fever (RMSF) serology performed on a subset of patient samples.

Results
Of the tested samples, 36.7% contained detectable (&gt;0.1 KUA/L) AG-sIgE. Antibody levels were higher in patients of older age, in samples submitted from lower midwestern and southern states, and during the June–December period of the year. Specific IgE to co-tested red meat whole allergens showed moderate to strong correlation to AG-sIgE and were of lower levels. Samples with positive RMSF IgG titers (≥1:64) were of overall higher AG-IgE levels.

Conclusion
Findings are consistent with the role of lone star ticks in AG syndrome pathogenesis. Levels of measured sIgE to AG are higher than co-tested sIgE to red meat whole allergen, consistent with the improved diagnostic performance of component-resolved testing.
Methodologies and key considerations for implementing the International Classification of Diseases-11th revision morbidity coding: insights from a national pilot study in China
Authors: Zhang Meng , Wang Yipeng , Jakob Robert , Su Shanna , Bai Xue , Jing Xiaotong , Xue Xin , Liao Aimin , Li Naishi , Wang Yi 
Published: March 2024

Abstract

Objective
The aim of this study was to disseminate insights from a nationwide pilot of the International Classification of Diseases-11th revision (ICD-11).

Materials and methods
The strategies and methodologies employed to implement the ICD-11 morbidity coding in 59 hospitals in China are described. The key considerations for the ICD-11 implementation were summarized based on feedback obtained from the pilot hospitals. Coding accuracy and Krippendorff’s alpha reliability were computed based on the coding results in the ICD-11 exam.

Results
Among the 59 pilot hospitals, 58 integrated ICD-11 Coding Software into their health information management systems and 56 implemented the ICD-11 in morbidity coding, resulting in 3 723 959 diagnoses for 873 425 patients being coded over a 2-month pilot coding phase. The key considerations in the transition to the ICD-11 in morbidity coding encompassed the enrichment of ICD-11 content, refinement of tools, provision of systematic and tailored training, improvement of clinical documentation, promotion of downstream data utilization, and the establishment of a national process and mechanism for implementation. The overall coding accuracy was 82.9% when considering the entire coding field (including postcoordination) and 92.2% when only one stem code was considered. Krippendorff’s alpha was 0.792 (95% CI, 0.788-0.796) and 0.799 (95% CI, 0.795-0.803) with and without consideration of the code sequence, respectively.

Conclusion
This nationwide pilot study has enhanced national technical readiness for the ICD-11 implementation in morbidity, elucidating key factors warranting careful consideration in future endeavors. The good accuracy and intercoder reliability of the ICD-11 coding achieved following a brief training program underscore the potential for the ICD-11 to reduce training costs and provide high-quality health data. Experiences and lessons learned from this study have contributed to WHO’s work on the ICD-11 and can inform other countries when formulating their transition plan.
Maternal protein supplementation during mid-gestation improves offspring performance and metabolism in beef cows
Authors: Nascimento Karolina B , Galvão Matheus C , Meneses Javier A M , Ramírez-Zamudio German D , Pereira Douglas G , Paulino Pedro V R , Casagrande Daniel R , Gionbelli Tathyane R S , Ladeira Marcio M , Duarte Marcio S , Loor Juan J , Gionbelli Mateus P 
Published: March 2024

Abstract
This study examined the impact of maternal protein supplementation during mid-gestation on offspring, considering potential sex-related effects. Forty-three pregnant purebred Tabapuã beef cows (20 female and 23 male fetuses) were collectively managed in a pasture until 100 d of gestation. From 100 to 200 d of gestation, they were randomly assigned to the restricted group [(RES) − basal diet (75% corn silage + 25% sugar cane bagasse + mineral mixture); n = 24] or control group [(CON) – same basal diet + based-plant supplement [40% of crude protein, 3.5 g/kg of body weight (BW); n = 19]. From 200 d of gestation until parturition, all cows were equally fed corn silage and mineral mixture. During the cow–calf phase, cows and their calves were maintained in a pasture area. After weaning, calves were individually housed and evaluated during the backgrounding (255 to 320 d), growing 1 (321 to 381 d), and growing 2 (382 to 445 d) phases. Offspring’s blood samples were collected at 210 and 445 d of age. Samples of skeletal muscle tissue were collected through biopsies at 7, 30, and 445 d of age. Muscle tissue samples were subjected to reverse-transcription quantitative polymerase chain reaction analysis. Prenatal treatment and offspring’s sex (when pertinent) were considered fixed effects. The significance level was set at 5%. At mid-gestation, cows supplemented with protein reached 98% and 92% of their protein and energy requirements, while nonsupplemented cows attained only 30% and 50% of these requirements, respectively. The RES offspring were lighter at birth (27 vs. 31 kg), weaning (197 vs. 214 kg), and 445 d of age (398 vs. 429 kg) (P ≤ 0.05). The CON calves had greater (P &lt; 0.05) morphometric measurements overall. The CON offspring had ~26% greater muscle fiber area (P ≤ 0.01). There was a trend (P = 0.06) for a greater Mechanistic target of rapamycin kinase mRNA expression in the Longissimus thoracis in the CON group at 7 d of age. The Myogenic differentiation 1 expression was greater (P = 0.02) in RES-females. Upregulation of Carnitine palmitoyltransferase 2 was observed in RES offspring at 445 d (P = 0.04). Expression of Fatty acid binding protein 4 (P &lt; 0.001), Peroxisome proliferator-activated receptor gamma (P &lt; 0.001), and Stearoyl-Coenzyme A desaturase (P &lt; 0.001) was upregulated in CON-females. Therefore, protein supplementation during gestation enhances offspring growth and promotes favorable responses to lipogenesis, particularly in females.
The impact of climate change and the conservation of the keystone Asian honeybee using niche models and systematic prioritization
Authors: Li Dexian , Wang Xiaoxia , Jiang Kaisong , An Rong , Li Yonghong , Liu Deguang 
Published: March 2024

Abstract
Global warming has seriously disturbed the Earth’s ecosystems, and in this context, Asian honeybee (Apis cerana) has experienced a dramatic decline in recent decades. Here, we examined both direct and indirect effects of climate change on A. cerana through ecological niche modeling of A. cerana, and its disease pathogens (i.e., Chinese sacbrood virus and Melissococcus plutonius) and enemies (i.e., Galleria mellonella and Vespa mandarinia). Ecological niche modeling predicts that climate change will increase the potential suitability of A. cerana, but it will also cause some of the original habitat areas to become unsuitable. Outbreak risks of Chinese sacbrood disease and European Foulbrood will increase dramatically, while those of G. mellonella and V. mandarinia will decrease only slightly. Thus, climate change will produce an unfavorable situation for even maintaining some A. cerana populations in China in the future. Genetic structure analyses showed that the A. cerana population from Hainan Island had significant genetic differentiation from that of the mainland, and there was almost no gene flow between the 2, suggesting that urgent measures are needed to protect the unique genetic resources there. Through taking an integrated planning technique with the Marxan approach, we optimized conservation planning, and identified potential nature reserves (mainly in western Sichuan and southern Tibet) for conservation of A. cerana populations. Our results can provide insights into the potential impact of climate change on A. cerana, and will help to promote the conservation of the keystone honeybee in China and the long-term sustainability of its ecosystem services.
An orientation to the US National Cancer plan for the research community
Authors: Geiger Ann M , Jaffee Elizabeth M , Berger Mitchel S , Brown Carol L , Rathmell W Kimryn , Bertagnolli Monica M 
Published: March 2024

Abstract
The US National Cancer Act of 1971 designated the director of the National Cancer Institute as responsible for coordinating federal agencies and nonfederal organizations to make progress against cancer. As part of her role, the immediate past director of the National Cancer Institute (MMB) led the development of a National Cancer Plan that was formally released on April 3, 2023. The plan includes 8 aspirational goals “to achieve a society where every person with cancer lives a full and active life and to prevent most cancers so that few people need to face this diagnosis.” Research findings provide a foundation for each goal, and research gaps are included in the strategies for meeting each goal. The President’s Cancer Panel, also created by the National Cancer Act, conducted an initial assessment of progress toward the plan goals by hearing from 12 organizations at a virtual public meeting on September 7, 2023. The purpose of this commentary is to orient the scientific community to the plan and call attention to related knowledge gaps that could benefit from research.
Nonlinear network-based quantitative trait prediction from biological data
Authors: Blein-Nicolas Mélisande , Devijver Emilie , Gallopin Mélina , Perthame Emeline 
Published: March 2024

Abstract
Quantitatively predicting phenotypic variables using biomarkers is a challenging task for several reasons. First, the collected biological observations might be heterogeneous and correspond to different biological mechanisms. Second, the biomarkers used to predict the phenotype are potentially highly correlated since biological entities (genes, proteins, and metabolites) interact through unknown regulatory networks. In this paper, we present a novel approach designed to predict multivariate quantitative traits from biological data which address the 2 issues. The proposed model performs well on prediction but it is also fully parametric, with clusters of individuals and regulatory networks, which facilitates the downstream biological interpretation.
Effects of sexual counseling on sexual function and sexual quality of life of women with permanent intestinal ostomy
Authors: Sohrabi Fatemeh , Tirgari Batool , Safaei Milad , Alizadeh Sajjad 
Published: March 2024

AbstractBackgroundPatients with an intestinal ostomy may experience significant sexual dysfunction that may have adverse impacts on quality of life. Appropriate sexual health counseling can be beneficial for these patients.AimThis study was conducted to determine the effect of sexual counseling on the sexual function and sexual quality of life of women with a permanent intestinal ostomy.MethodsFor this experimental study, 60 female patients with a permanent intestinal ostomy were selected through convenience sampling and then randomly assigned to either the intervention or control groups. Patients in the intervention group received four 90-minute individual counseling sessions based on the PLISSIT (permission [P], limited information [LI], specific suggestions [SS], and intensive therapy [IT] model over a period of 4 weeks). The control group underwent routine training. Data were collected by use of a demographic information questionnaire, the Female Sexual Function Index, and the Sexual Quality of Life Female questionnaire. Both groups completed the questionnaires before and after the intervention.OutcomesStudy outcomes were the resulting data for the Female Sexual Function Index and the Sexual Quality of Life Female questionnaire.ResultsThe results revealed a significant increase in the mean score of sexual function in the intervention group after counseling (P = .001). No significant difference was observed in the mean score of sexual quality of life between the 2 groups before the intervention (P &gt; .05). In contrast, a significant increase was noted in the intervention group’s sexual quality of life after the intervention (P = .001).Clinical ImplicationsThe results indicate a need to sexual counseling interventions directed toward sexual function and sexual quality of life in women with permanent intestinal ostomy.Strengths and LimitationsStudy strengths include utilization of the PLISSIT model for sexual counseling as an invaluable roadmap for healthcare professionals, systematically addressing patient needs within a tailored framework, and prescribing appropriate strategies over 4 distinct phases. Limitations include the use of convenience sampling and no follow-up duration.ConclusionsThis study demonstrated the efficacy of counseling in enhancing sexual well-being of women with permanent intestinal ostomy.
Synchrotron signatures of cosmic ray transport physics in galaxies
Authors: Ponnada Sam B , Butsky Iryna S , Skalidis Raphael , Hopkins Philip F , Panopoulou Georgia V , Hummels Cameron , Kereš Dušan , Quataert Eliot , Faucher-Giguère Claude-André , Su Kung-Yi 
Published: March 2024

ABSTRACT
Cosmic rays (CRs) may drive outflows and alter the phase structure of the circumgalactic medium, with potentially important implications on galaxy formation. However, these effects ultimately depend on the dominant mode of transport of CRs within and around galaxies, which remains highly uncertain. To explore potential observable constraints on CR transport, we investigate a set of cosmological fire-2 CR-magnetohydrodynamic simulations of L* galaxies which evolve CRs with transport models motivated by self-confinement (SC) and extrinsic turbulence (ET) paradigms. To first order, the synchrotron properties diverge between SC and ET models due to a CR physics-driven hysteresis. SC models show a higher tendency to undergo ‘ejective’ feedback events due to a runaway buildup of CR pressure in dense gas due to the behaviour of SC transport scalings at extremal CR energy densities. The corresponding CR wind-driven hysteresis results in brighter, smoother, and more extended synchrotron emission in SC runs relative to ET and constant diffusion runs. The differences in synchrotron arise from different morphology, interstellar medium gas, and B properties, potentially ruling out SC as the dominant mode of CR transport in typical star-forming L* galaxies, and indicating the prospect for non-thermal radio continuum observations to constrain CR transport physics.
Aneuploidy Can Be an Evolutionary Diversion on the Path to Adaptation
Authors: Kohanovski Ilia , Pontz Martin , Vande Zande Pétra , Selmecki Anna , Dahan Orna , Pilpel Yitzhak , Yona Avihu H , Ram Yoav 
Published: March 2024

Abstract
Aneuploidy is common in eukaryotes, often leading to decreased fitness. However, evidence from fungi and human tumur cells suggests that specific aneuploidies can be beneficial under stressful conditions and facilitate adaptation. In a previous evolutionary experiment with yeast, populations evolving under heat stress became aneuploid, only to later revert to euploidy after beneficial mutations accumulated. It was therefore suggested that aneuploidy is a “stepping stone” on the path to adaptation. Here, we test this hypothesis. We use Bayesian inference to fit an evolutionary model with both aneuploidy and mutation to the experimental results. We then predict the genotype frequency dynamics during the experiment, demonstrating that most of the evolved euploid population likely did not descend from aneuploid cells, but rather from the euploid wild-type population. Our model shows how the beneficial mutation supply—the product of population size and beneficial mutation rate–determines the evolutionary dynamics: with low supply, much of the evolved population descends from aneuploid cells; but with high supply, beneficial mutations are generated fast enough to outcompete aneuploidy due to its inherent fitness cost. Our results suggest that despite its potential fitness benefits under stress, aneuploidy can be an evolutionary “diversion” rather than a “stepping stone”: it can delay, rather than facilitate, the adaptation of the population, and cells that become aneuploid may leave less descendants compared to cells that remain diploid.
Decoding face recognition abilities in the human brain
Authors: Faghel-Soubeyrand Simon , Ramon Meike , Bamps Eva , Zoia Matteo , Woodhams Jessica , Richoz Anne-Raphaelle , Caldara Roberto , Gosselin Frédéric , Charest Ian 
Published: March 2024

Abstract
Why are some individuals better at recognizing faces? Uncovering the neural mechanisms supporting face recognition ability has proven elusive. To tackle this challenge, we used a multimodal data-driven approach combining neuroimaging, computational modeling, and behavioral tests. We recorded the high-density electroencephalographic brain activity of individuals with extraordinary face recognition abilities—super-recognizers—and typical recognizers in response to diverse visual stimuli. Using multivariate pattern analyses, we decoded face recognition abilities from 1 s of brain activity with up to 80% accuracy. To better understand the mechanisms subtending this decoding, we compared representations in the brains of our participants with those in artificial neural network models of vision and semantics, as well as with those involved in human judgments of shape and meaning similarity. Compared to typical recognizers, we found stronger associations between early brain representations of super-recognizers and midlevel representations of vision models as well as shape similarity judgments. Moreover, we found stronger associations between late brain representations of super-recognizers and representations of the artificial semantic model as well as meaning similarity judgments. Overall, these results indicate that important individual variations in brain processing, including neural computations extending beyond purely visual processes, support differences in face recognition abilities. They provide the first empirical evidence for an association between semantic computations and face recognition abilities. We believe that such multimodal data-driven approaches will likely play a critical role in further revealing the complex nature of idiosyncratic face recognition in the human brain.