bluuebunny/crossref_metadata_2025_split huggingface dataset:
Diamorphine pharmacokinetics and conversion factor estimates for intranasal diamorphine in paediatric breakthrough pain:systematic review
Authors: Gastine Silke , Morse James D , Leung Miriam TY , Wong Ian Chi Kei , Howard Richard F , Harrop Emily , Liossi Christina , Standing Joseph F , Jassal Satbir Singh , Hain Richard D , Skene Simon , Oulton Kate , Law Siew L , Quek Wan T , Anderson Brian J 
Published: February 2022

BackgroundIntranasal diamorphine is a potential treatment for breakthrough pain but few paediatric data are available to assist dose estimation.AimTo determine an intranasal diamorphine dose in children through an understanding of pharmacokinetics.DesignA systematic review of the literature was undertaken to seek diamorphine pharmacokinetic parameters in neonates, children and adults. Parenteral and enteral diamorphine bioavailability were reviewed with respect to formation of the major metabolite, morphine. Clinical data quantifying equianalgesic effects of diamorphine and morphine were reviewed.Review sourcesPubMed (1960–2020); EMBASE (1980–2020); IPA (1973–2020) and original human research studies that reported diacetylmorphine and metabolite after any dose or route of administration.ResultsThe systematic review identified 19 studies: 16 in adults and 1 in children and 2 neonatal reports. Details of study participants were extracted. Age ranged from premature neonates to 67 years and weight 1.4–88 kg. Intranasal diamorphine bioavailability was predicted as 50%. The equianalgesic intravenous conversion ratio of morphine:diamorphine was 2:1. There was heterogeneity between pharmacokinetic parameter estimates attributed to routes of administration, lack of size standardisation, methodology and pharmacokinetic analysis. Estimates of the pharmacokinetic parameters clearance and volume of distribution were reduced in neonates. There were insufficient paediatric data to characterise clearance or volume maturation of either diamorphine or its metabolites.ConclusionsWe estimate equianalgesic ratios of intravenous morphine:diamorphine 2:1, intravenous morphine:intranasal diamorphine 1:1 and oral morphine:intranasal diamorphine of 1:3. These ratios are based on adult literature, but are reasonable for deciding on an initial dose of 0.1 mg/kg in children 4–13 years.
Polarimetry for measuring the vacuum magnetic birefringence with quasi-static fields: a systematics study for the VMB@CERN experiment
Authors: Zavattini Guido , Della Valle Federico , Soflau Alina Mariana , Formaggio Lorenzo , Crapulli Giacomo , Messineo Giuseppe , Mariotti Emilio , Kunc Štepan , Ejlli Aldo , Ruoso Giuseppe , Marinelli Carmela , Andreotti Mirco 
Published: February 2022

AbstractWe present an experimental systematics study of a polarimetric method for measuring the vacuum magnetic birefringence based on a pair of rotating half-wave plates. The presence of a systematic effect at the same frequency as the sought for magneto-optical effect inhibits the use of strictly constant magnetic fields. We characterise this systematic, discuss its origin and propose a viable workaround.
Sweet tweets! Evaluating a new approach for probability-based sampling of Twitter
Authors: Buskirk Trent D. , Blakely Brian P. , Eck Adam , McGrath Richard , Singh Ravinder , Yu Youzhi 
Published: February 2022

AbstractAs survey costs continue to rise and response rates decline, researchers are seeking more cost-effective ways to collect, analyze and process social and public opinion data. These issues have created an opportunity and interest in expanding the fit-for-purpose paradigm to include alternate sources such as passively collected sensor data and social media data. However, methods for accessing, sourcing and sampling social media data are just now being developed. In fact, there has been a small but growing body of literature focusing on comparing different Twitter data access methods through either the elaborate firehose or the free Twitter search or streaming APIs. Missing from the literature is a good understanding of how to randomly sample Tweets to produce datasets that are representative of the daily discourse, especially within geographical regions of interest, without requiring a census of all Tweets. This understanding is necessary for producing quality estimates of public opinion from social media sources such as Twitter. To address this gap, we propose and test the Velocity-Based Estimation for Sampling Tweets (VBEST) algorithm for selecting a probability based sample of tweets. We compare the performance of VBEST sample estimates to other methods of accessing Twitter through the Search API on the distribution of total Tweets as well as COVID-19 keyword incidence and frequency and find that the VBEST samples produce consistent and relatively low levels of overall bias compared to common methods of access through the Search API across many experimental conditions.
Integrated Production and Transportation Scheduling Method in Hybrid Flow Shop
Authors: Li Wangming , Han Dong , Gao Liang , Li Xinyu , Li Yang 
Published: February 2022

AbstractThe connection between production scheduling and transportation scheduling is getting closer in smart manufacturing system, and both of those problems are summarized as NP-hard problems. However, only a few studies have considered them simultaneously. This paper solves the integrated production and transportation scheduling problem (IPTSP) in hybrid flow shops, which is an extension of the hybrid flow shop scheduling problem (HFSP). In addition to the production scheduling on machines, the transportation scheduling process on automated guided vehicles (AGVs) is considered as another optimization process. In this problem, the transfer tasks of jobs are performed by a certain number of AGVs. To solve it, we make some preparation (including the establishment of task pool, the new solution representation and the new solution evaluation), which can ensure that satisfactory solutions can be found efficiently while appropriately reducing the scale of search space. Then, an effective genetic tabu search algorithm is used to minimize the makespan. Finally, two groups of instances are designed and three types of experiments are conducted to evaluate the performance of the proposed method. The results show that the proposed method is effective to solve the integrated production and transportation scheduling problem.
A one-dimensional elasto-viscoplastic model coupled to damage for the description of creep in wooden materials
Authors: Fothe Thierry , Azeufack Ulrich Gael , Kenmeugne Bienvenu , Fogue Médard 
Published: February 2022

AbstractThis work focuses on the development of a model for the description of the tertiary creep phenomenon in wooden materials. We stared from an extended standard solid body model capable of best describing primary and secondary creeps. We then modify this model by introducing a damage variable to explain and model the rapid growth of viscoplastic strain during tertiary creep. We obtain a model comprising a reduced number of parameters (05) all physically interpretable; which can be easily determined from the results of creep tests. The proposed model has been tested using the experimental results of creep-rupture tests and it has been shown to be very suitable for describing the three phases of creep, with a relative error of less than 1%. The breaking time proposed by the model is lower, but very close to the experimental breaking time (Err = 0.01). The time to failure is easily accessible, thanks to the simplicity of our model, without necessarily going through heavy algorithms. This represents a significant advantage of our model, which in sum offers both a more realistic way of describing the three phases of creep by fully accounting for the phenomenon of damage during the tertiary phase, and a simple and fast way to analyze the rupture time, compared to other models in the literature. Our model is therefore presented as a good alternative for modeling the behavior of wood material under creep stress.
OsWRKY62 and OsWRKY76 Interact with Importin α1s for Negative Regulation of Defensive Responses in Rice Nucleus
Authors: Xu Xiaohui , Wang Han , Liu Jiqin , Han Shuying , Lin Miaomiao , Guo Zejian , Chen Xujun 
Published: February 2022

AbstractBackground OsWRKY62 and OsWRKY76, two close members of WRKY transcription factors, function together as transcriptional repressors. OsWRKY62 is predominantly localized in the cytosol. What are the regulatory factors for OsWRKY62 nuclear translocation? Results In this study, we characterized the interaction of OsWRKY62 and OsWRKY76 with rice importin, OsIMα1a and OsIMα1b, for nuclear translocation. Chimeric OsWRKY62.1-GFP, which is predominantly localized in the cytoplasm, was translocated to the nucleus of Nicotiana benthamiana leaf cells in the presence of OsIMα1a or OsIMαΔIBB1a lacking the auto-inhibitory importin β-binding domain. OsIMαΔIBB1a interacted with the WRKY domain of OsWRKY62.1, which has specific bipartite positively charged concatenated amino acids functioning as a nuclear localization signal (NLS). Similarly, we found that OsIMαΔIBB1a interacted with the AvrPib effector of rice blast fungus Magnaporthe oryzae, which contains a scattered distribution of positively charged amino acids. Furthermore, we identified a nuclear export signal (NES) in OsWRKY62.1 that inhibited nuclear transportation. Overexpression of OsIMα1a or OsIMα1b enhanced resistance to M. oryzae, whereas knockout mutants decreased resistance to the pathogen. However, overexpressing both OsIMα1a and OsWRKY62.1 were slightly more susceptible to M. oryzae than OsWRKY62.1 alone. Ectopic overexpression of OsWRKY62.1-NES fused gene compromised the enhanced susceptibility of OsWRKY62.1 to M. oryzae. Conclusion These results revealed the existence of NLS and NES in OsWRKY62. OsWRKY62, OsWRKY76, and AvrPib effector translocate to nucleus in association with importin α1s through new types of nuclear localization signals for negatively regulating defense responses.
Efficient link prediction in the protein–protein interaction network using topological information in a generative adversarial network machine learning model
Authors: Balogh Olivér M. , Benczik Bettina , Horváth András , Pétervári Mátyás , Csermely Péter , Ferdinandy Péter , Ágg Bence 
Published: February 2022

Abstract
Background
The investigation of possible interactions between two proteins in intracellular signaling is an expensive and laborious procedure in the wet-lab, therefore, several in silico approaches have been implemented to narrow down the candidates for future experimental validations. Reformulating the problem in the field of network theory, the set of proteins can be represented as the nodes of a network, while the interactions between them as the edges. The resulting protein–protein interaction (PPI) network enables the use of link prediction techniques in order to discover new probable connections. Therefore, here we aimed to offer a novel approach to the link prediction task in PPI networks, utilizing a generative machine learning model.

Results
We created a tool that consists of two modules, the data processing framework and the machine learning model. As data processing, we used a modified breadth-first search algorithm to traverse the network and extract induced subgraphs, which served as image-like input data for our model. As machine learning, an image-to-image translation inspired conditional generative adversarial network (cGAN) model utilizing Wasserstein distance-based loss improved with gradient penalty was used, taking the combined representation from the data processing as input, and training the generator to predict the probable unknown edges in the provided induced subgraphs. Our link prediction tool was evaluated on the protein–protein interaction networks of five different species from the STRING database by calculating the area under the receiver operating characteristic, the precision-recall curves and the normalized discounted cumulative gain (AUROC, AUPRC, NDCG, respectively). Test runs yielded the averaged results of AUROC = 0.915, AUPRC = 0.176 and NDCG = 0.763 on all investigated species.

Conclusion
We developed a software for the purpose of link prediction in PPI networks utilizing machine learning. The evaluation of our software serves as the first demonstration that a cGAN model, conditioned on raw topological features of the PPI network, is an applicable solution for the PPI prediction problem without requiring often unavailable molecular node attributes. The corresponding scripts are available at https://github.com/semmelweis-pharmacology/ppi_pred.
Rare coding variants in RCN3 are associated with blood pressure
Authors: He Karen Y. , Kelly Tanika N. , Wang Heming , Liang Jingjing , Zhu Luke , Cade Brian E. , Assimes Themistocles L. , Becker Lewis C. , Beitelshees Amber L. , Bielak Lawrence F. , Bress Adam P. , Brody Jennifer A. , Chang Yen-Pei Christy , Chang Yi-Cheng , de Vries Paul S. , Duggirala Ravindranath , Fox Ervin R. , Franceschini Nora , Furniss Anna L. , Gao Yan , Guo Xiuqing , Haessler Jeffrey , Hung Yi-Jen , Hwang Shih-Jen , Irvin Marguerite Ryan , Kalyani Rita R. , Liu Ching-Ti , Liu Chunyu , Martin Lisa Warsinger , Montasser May E. , Muntner Paul M. , Mwasongwe Stanford , Naseri Take , Palmas Walter , Reupena Muagututi’a Sefuiva , Rice Kenneth M. , Sheu Wayne H.-H. , Shimbo Daichi , Smith Jennifer A. , Snively Beverly M. , Yanek Lisa R. , Zhao Wei , Blangero John , Boerwinkle Eric , Chen Yii-Der Ida , Correa Adolfo , Cupples L. Adrienne , Curran Joanne E. , Fornage Myriam , He Jiang , Hou Lifang , Kaplan Robert C. , Kardia Sharon L. R. , Kenny Eimear E. , Kooperberg Charles , Lloyd-Jones Donald , Loos Ruth J. F. , Mathias Rasika A. , McGarvey Stephen T. , Mitchell Braxton D. , North Kari E. , Peyser Patricia A. , Psaty Bruce M. , Raffield Laura M. , Rao D. C. , Redline Susan , Reiner Alex P. , Rich Stephen S. , Rotter Jerome I. , Taylor Kent D. , Tracy Russell , Vasan Ramachandran S. ,   The Samoan Obesity, Lifestyle and Genetic Adaptations Study (OLaGA) Group, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, Morrison Alanna C. , Levy Daniel , Chakravarti Aravinda , Arnett Donna K. , Zhu Xiaofeng 
Published: February 2022

Abstract
Background
While large genome-wide association studies have identified nearly one thousand loci associated with variation in blood pressure, rare variant identification is still a challenge. In family-based cohorts, genome-wide linkage scans have been successful in identifying rare genetic variants for blood pressure. This study aims to identify low frequency and rare genetic variants within previously reported linkage regions on chromosomes 1 and 19 in African American families from the Trans-Omics for Precision Medicine (TOPMed) program. Genetic association analyses weighted by linkage evidence were completed with whole genome sequencing data within and across TOPMed ancestral groups consisting of 60,388 individuals of European, African, East Asian, Hispanic, and Samoan ancestries.

Results
Associations of low frequency and rare variants in RCN3 and multiple other genes were observed for blood pressure traits in TOPMed samples. The association of low frequency and rare coding variants in RCN3 was further replicated in UK Biobank samples (N = 403,522), and reached genome-wide significance for diastolic blood pressure (p = 2.01 × 10− 7).

Conclusions
Low frequency and rare variants in RCN3 contributes blood pressure variation. This study demonstrates that focusing association analyses in linkage regions greatly reduces multiple-testing burden and improves power to identify novel rare variants associated with blood pressure traits.
Expiratory central airway collapse during positive pressure ventilation: a case report
Authors: Gaggini Guillaume , Nkamicaniye Link-Mathieu , Meyer Sabrina , Dubois Philippe E. 
Published: February 2022

Abstract
Background
Physiologic narrowing of the central airway occurs during expiration. Conditions in which this narrowing becomes excessive are referred to as expiratory central airway collapse. Expiratory central airway collapse is usually managed by applying positive pressure to the airways, which acts as a pneumatic stent. The particularity of the case reported here included the patient’s left main bronchus being permeable during spontaneous breathing but collapsing during general anaesthesia, despite positive pressure ventilation and positive end-expiratory pressure.

Case presentation
We present the case of a 55-year-old man admitted for the placement of a ureteral JJ stent. Rapid desaturation occurred a few minutes after the onset of anaesthesia. After excluding the most common causes of desaturation, fibreoptic bronchoscopy was performed through the tracheal tube and revealed complete collapse of the left main bronchus. The collapse persisted despite the application of positive end-expiratory pressure and several recruitment manoeuvres. After recovery of spontaneous ventilation, the collapse was lifted, and saturation increased back to normal levels. No evidence of extrinsic compression was found on chest X-rays or computed tomography scans.

Conclusion
Cases of unknown expiratory central airway collapse reported in the literature were usually managed with positive pressure ventilation. This approach has been unsuccessful in the case described herein. Our hypothesis is that mechanical bending of the left main bronchus occurred due to loss of the patient’s natural position and thoracic muscle tone under general anaesthesia with neuromuscular blockade. When possible, spontaneous ventilation should be maintained in patients with known or suspected ECAC.
The injury severity score: an operations perspective
Authors: Dehouche Nassim 
Published: February 2022

Abstract
Background
The statistical evaluation of aggregation functions for trauma grades, such as the Injury Severity Score (ISS), is largely based on measurements of their Pearson product-moment correlation with mortality. However, correlation analysis makes assumptions about the nature of the involved random variables (cardinality) and their relationship (linearity) that may not be applicable to ordinal scores such as the ISS. Moreover, using correlation as a sole evaluation criterion neglects the dynamic properties of these aggregation functions scores.

Methods
We analyze the domain and ordinal properties of the ISS comparatively to arbitrary linear and cubic aggregation functions. Moreover, we investigate the axiomatic properties of the ISS as a multicriteria aggregation procedure. Finally, we use a queuing simulation with various empirical distributions of Abbreviated Injury Scale (AIS) grades reported in the literature, to evaluate the queuing performance of the three aggregation functions.

Results
We show that the assumptions required for the computation of Pearson’s product-moment correlation coefficients are not applicable to the analysis of the association between the ISS and mortality. We suggest the use of Mutual Information, a information-theoretic statistic that is able to assess general dependence rather than a specialized, linear view based on curve-fitting. Using this metric on the same data set as the seminal study that introduced the ISS, we show that the sum of cubes conveys more information on mortality than the ISS. Moreover, we highlight some unintended, undesirable axiomatic properties of the ISS that can lead to bias in its use as a patient triage criterion. Lastly, our queuing simulation highlights the sensitivity of the queuing performance of different aggregation procedures to the underlying distribution of AIS grades among patients.

Conclusions
Viewing the ISS, and other possible aggregation functions for multiple AIS scores, as mere operational indicators of the priority of care, rather than cardinal measures of the response of the human body to multiple injuries (as was conjectured in the seminal study introducing the ISS) offers a perspective for their construction and evaluation on more robust grounds than the correlation coefficient. In this regard, Mutual Information appears as a more appropriate measure for the study of the association between injury severity and mortality, and queuing simulations as an actionable way to adapt the choice of an aggregation function to the underlying distribution of AIS scores.
Assessing transferability in systematic reviews of health economic evaluations – a review of methodological guidance
Authors: Weise Alina , Büchter Roland Brian , Pieper Dawid , Mathes Tim 
Published: February 2022

Abstract
Objective
For assessing cost-effectiveness, Health Technology Assessment (HTA) organisations may use primary economic evaluations (P-HEs) or Systematic Reviews of Health Economic evaluations (SR-HEs). A prerequisite for meaningful results of SR-HEs is that the results from existing P-HEs are transferable to the decision context (e.g, HTA jurisdiction). A particularly pertinent issue is the high variability of costs and resource needs across jurisdictions. Our objective was to review the methods documents of HTA organisations and compare their recommendations on considering transferability in SR-HE.

Methods
We systematically hand searched the webpages of 158 HTA organisations for relevant methods documents from 8th January to 31st March 2019. Two independent reviewers performed searches and selected documents according to pre-defined criteria. One reviewer extracted data in standardised and piloted tables and a second reviewer checked them for accuracy. We synthesised data using tabulations and in a narrative way.

Results
We identified 155 potentially relevant documents from 63 HTA organisations. Of these, 7 were included in the synthesis. The included organisations have different aims when preparing a SR-HE (e.g. to determine the need for conducting their own P-HE). The recommendations vary regarding the underlying terminology (e.g. transferability/generalisability), the assessment approaches (e.g. structure), the assessment criteria and the integration in the review process.

Conclusion
Only few HTA organisations address the assessment of transferability in their methodological recommendations for SR-HEs. Transferability considerations are related to different purposes. The assessment concepts and criteria are heterogeneous. Developing standards to consider transferability in SR-HEs is desirable.