bluuebunny/crossref_metadata_2025_split huggingface dataset:
Early Versus Late Laparoscopic Cholecystectomy in Patients with Acute Gallstone Pancreatitis
Authors: Sharma Ashish , Madapu Apoorva , Rakholiya Jigisha , Sharma Shivy , Jha Anil 
Published: January 2021

AbstractThe laparoscopic cholecystectomy is the definite treatment of acute gallstone pancreatitis, but the timing remains controversial. We aimed to evaluate trends, prevalence, and outcomes of laparoscopic cholecystectomy amongst patients with acute gallstone pancreatitis in index hospitalization done at different time intervals. We performed a retrospective study using Nationwide Inpatient Sample (years 2003–2014) with adult hospitalizations with acute gallstone pancreatitis who underwent laparoscopic cholecystectomy using ICD-9-CM codes and divided them into subgroups of those who underwent immediately (72 h), early (1 week), and delayed (> 1 week) laparoscopic cholecystectomy. The weighted analysis using chi-square, paired Wilcoxon-rank-sum test, Cochran-Armitage trend test, and multivariable survey logistic regression analysis was performed to evaluate prevalence and outcomes. There was a total of 582,406 acute gallstone pancreatitis admissions of which 291,701 (50.09%) patients had laparoscopic cholecystectomy (p < 0.0001). Prevalence of immediate laparoscopic cholecystectomy 114,629 (40.55%) showed incremental trend (32.61 to 49.82%) compared to early 149,931 (53.03%) (57.83 to 46.59%), and late laparoscopic cholecystectomy 18,158 (6.42%) (9.56 to 3.59%) from 2003 to 2014. Immediate and early laparoscopic cholecystectomy had lower prevalence and odds of mortality [0.24% versus 0.37% versus 2.46%; aOR-immediate: 0.614; aOR-early: 0.615; p < 0.0001], morbidity [1.36% versus 3.64% versus 27.57%; aOR-immediate: 0.088; aOR-early:0.161; p < 0.0001], disability [62.47% versus 70.15% versus 84.26%; aOR-immediate: 0.584; aOR-early: 0.68; p < 0.0001], discharge to non-home [7.07% versus 13.04% versus 31.84%; %; aOR-immediate: 0.346; aOR-early: 0.473; p < 0.0001], hospital cost $39,466 versus $52,018 versus $129,317 (p < 0.0001) and stay 3 days versus 6 days versus 19 days (p < 0.0001) than delayed laparoscopic cholecystectomy. The immediate laparoscopic cholecystectomy showed better outcomes; more prospective studies with large numbers of patients should be planned to evaluate the beneficial effects of immediate cholecystectomy in severe acute pancreatitis hospitalizations.
Experimental investigation of rotating instability in a contra-rotating axial flow compressor
Authors: Yue S. , Wang Y. , Zhang Z. , Wei L. , Wang H. 
Published: January 2021

AbstractThe rotating instability in a contra-rotating axial flow compressor is investigated by experiments. Twenty-four pressure sensors were installed on the casing to capture the unsteady flow in the rotor tip region simultaneously. A double-phase-locking technique suitable for the contra-rotating compressor was proposed to characterise the static pressure contours of the rotor tip. The mean and root-mean-square pressure contours indicate that rotating instability occurs before the rotating stall happened, and the rotor tip clearance vortex is located upstream of the rear rotor leading edge plane before stall. Fourier spectrum shows that rotating instability and rotating stall both happened under the stall condition, and the frequency band of rotating instability does not change with the flow rate. In the front rotor, the frequency of rotating instability is half of the blade passing frequency. It is verified that the modal estimation method can be implemented by using the average azimuthal phase velocity, which significantly reduced the number of pressure sensors required. Modal estimation results show that each peak of the rotating instability frequency band corresponds to a unique dominant circumferential mode. By optimising average azimuthal phase velocity, an improved modal estimation method is obtained, which can further improve the reliability of the modal estimation results.
A recommendation and risk classification system for connecting rough sleepers to essential outreach services
Authors: Wilde Harrison , Chen Lucia L. , Nguyen Austin , Kimpel Zoe , Sidgwick Joshua , De Unanue Adolfo , Veronese Davide , Mateen Bilal , Ghani Rayid , Vollmer Sebastian 
Published: January 2021

Abstract
Rough sleeping is a chronic experience faced by some of the most disadvantaged people in modern society. This paper describes work carried out in partnership with Homeless Link (HL), a UK-based charity, in developing a data-driven approach to better connect people sleeping rough on the streets with outreach service providers. HL's platform has grown exponentially in recent years, leading to thousands of alerts per day during extreme weather events; this overwhelms the volunteer-based system they currently rely upon for the processing of alerts. In order to solve this problem, we propose a human-centered machine learning system to augment the volunteers' efforts by prioritizing alerts based on the likelihood of making a successful connection with a rough sleeper. This addresses capacity and resource limitations whilst allowing HL to quickly, effectively, and equitably process all of the alerts that they receive. Initial evaluation using historical data shows that our approach increases the rate at which rough sleepers are found following a referral by at least 15% based on labeled data, implying a greater overall increase when the alerts with unknown outcomes are considered, and suggesting the benefit in a trial taking place over a longer period to assess the models in practice. The discussion and modeling process is done with careful considerations of ethics, transparency, and explainability due to the sensitive nature of the data involved and the vulnerability of the people that are affected.
Effect of florpyrauxifen-benzyl formulation and rate for waterhyacinth (Eichhornia crassipes) control in a mesocosm setting
Authors: Mudge Christopher R. , Turnage Gray , Netherland Michael D. 
Published: January 2021

AbstractWaterhyacinth [Eichhornia crassipes (Mart.) Solms] has been the focus of national legislation efforts and has been listed as noxious, invasive, potentially invasive, or prohibited by at least seven U.S. states. Auxinic herbicides are one of the most effective control methods labeled for use in aquatic sites. In the United States, florpyrauxifen-benzyl, a synthetic auxin, was recently (2018) registered for use in aquatic sites, but limited information has been published on efficacy, especially differences between the two formulations. Therefore, the purpose of this work was to evaluate two formulations of florpyrauxifen-benzyl—suspension concentrate (SC) and emulsifiable concentrate (EC)—at three rates each (14.8, 29.5, and 58.9 g ai ha−1) for control of E. crassipes under outdoor and greenhouse conditions. All rates of each florpyrauxifen-benzyl formulation reduced E. crassipes biomass by 90% to 100% when compared with nontreated plants at 5 wk after treatment. Based on plant recovery in the outdoor trial, there was some evidence that the lowest rate (14.8 g ai ha−1) of florpyrauxifen-benzyl SC and EC may not be as efficacious at reducing E. crassipes biomass as the SC and EC formulations when applied at 29.5 and 58.9 g ai ha−1. Future work should evaluate the florpyrauxifen-benzyl rates tested in this research against E. crassipes in field trials and/or an operational setting to confirm findings.
Molecular and phylogenetic analysis reveals new diversity of Dunaliella salina from hypersaline environments
Authors: Highfield Andrea , Ward Angela , Pipe Richard , Schroeder Declan C. 
Published: January 2021

AbstractTwelve hyper-β carotene-producing strains of algae assigned to the genus Dunaliella salina have been isolated from various hypersaline environments in Israel, South Africa, Namibia and Spain. Intron-sizing of the SSU rDNA and phylogenetic analysis of these isolates were undertaken using four commonly employed markers for genotyping, LSU rDNA, ITS, rbcL and tufA and their application to the study of Dunaliella evaluated. Novel isolates have been identified and phylogenetic analyses have shown the need for clarification on the taxonomy of Dunaliella salina. We propose the division of D. salina into four sub-clades as defined by a robust phylogeny based on the concatenation of four genes. This study further demonstrates the considerable genetic diversity within D. salina and the potential of genetic analyses for aiding in the selection of prospective economically important strains.
Catastrophic cognitions about coronavirus: the Oxford psychological investigation of coronavirus questionnaire [TOPIC-Q]
Authors: Rosebrock Laina , Černis Emma , Lambe Sinéad , Waite Felicity , Rek Stephanie , Petit Ariane , Ehlers Anke , Clark David M. , Freeman Daniel 
Published: January 2021

AbstractBackgroundCognitive therapies are developed on the principle that specific cognitive appraisals are key determinants in the development and maintenance of mental health disorders. It is likely that particular appraisals of the coronavirus pandemic will have explanatory power for subsequent mental health outcomes in the general public. To enable testing of this hypothesis we developed a questionnaire assessing coronavirus-related cognitions.Methods12 285 participants completed online a 46-item pool of cognitions about coronavirus and six measures of different mental health problems. The sample was randomly split into derivation and validation samples. Exploratory factor analyses determined the factor structure, selection of items, and model fit in the derivation sample. Confirmatory factor analysis (CFA) then tested this model in the validation sample. Associations of the questionnaire with mental health outcomes were examined.ResultsThe 26-item, seven-factor, Oxford Psychological Investigation of Coronavirus Questionnaire [TOPIC-Q] was developed. CFA demonstrated a good model fit (χ2 = 2108.43, df = 278, p < 0.001, comparative fit index (CFI) = 0.950, Tucker−Lewis index (TLI) = 0.942, root mean square error of approximation (RMSEA) = 0.033, standardized root mean square residual (SRMR) = 0.038). The factors were: cognitions about (1) safety and vulnerability, (2) negative long-term impact, (3) having the virus, (4) spreading the virus, (5) social judgment, (6) negative self, and (7) being targeted. The questionnaire explained significant variance in depression (45.8%), social anxiety (37.3%), agoraphobia (23.2%), paranoia (27.3%), post-traumatic stress disorder (57.1%), and panic disorder (31.4%). Cognitions about negative long-term impact had the greatest explanatory power across disorders.ConclusionsTOPIC-Q provides a method to assess appraisals of the pandemic, which is likely to prove helpful both in longitudinal studies assessing mental health outcomes and in delivery of psychological therapy.
The frequency and framing of cognitive lapses in healthy adults
Authors: McWhirter Laura , King Lachlan , McClure Eilidh , Ritchie Craig , Stone Jon , Carson Alan 
Published: January 2021

AbstractObjectiveMany people present to health services with concern about cognitive symptoms. In a significant proportion those symptoms are not the result of pathologically defined brain disease. In some they are part of a functional cognitive disorder (FCD). We assessed the frequency of cognitive lapses in a non-clinical sample in order to consider the utility of frequency of cognitive lapses in diagnosing cognitive disorders.MethodsHealthy adults, who had never sought help for cognitive symptoms, completed a questionnaire, distributed via social media, about self-evaluation of cognitive function, frequency of cognitive lapses, and use of memory aids, including Schmitdke and Metternich’s functional memory disorder (FMD) inventory.ResultsOne hundred and twenty-four adults, aged 18–59 (median 23), most with further or higher education, responded. Thirty-one (25%) reported “fair” or “poor” memory. Forty-eight (39%) reported memory worse than 5 years ago, and 30 (24%) reported memory worse than others the same age. Participants endorsed a mean 13/18 specific cognitive lapses at least monthly. One hundred and eleven (89%) scored ≥4, the suggested cutoff for the FMD inventory.ConclusionsCognitive lapses described in FCDs are common in highly educated adults. The high frequency of lapses in this healthy population suggests self-reported frequency of lapses alone cannot discriminate FCDs from “normal” experiences. Further research is required to clarify the role of abnormal metacognition in FCD. Better understanding of the factors moderating subjective interpretation of cognitive failures will also aid development of better clinical risk-stratification methods in people concerned about future dementia.
Histone Demethylase KDM4D Could Improve the Developmental Competence of Buffalo (Bubalus Bubalis) Somatic Cell Nuclear Transfer (SCNT) Embryos
Authors: Feng Yun , Zhao Xin , Li Zhengda , Luo Chan , Ruan Ziyun , Xu Jie , Shen Penglei , Deng Yanfei , Jiang Jianrong , Shi Deshun , Lu Fenghua 
Published: January 2021

AbstractSomatic cell nuclear transfer (SCNT) holds vast potential in agriculture. However, its applications are still limited by its low efficiency. Histone 3 lysine 9 trimethylation (H3K9me3) was identified as an epigenetic barrier for this. Histone demethylase KDM4D could regulate the level of H3K9me3. However, its effects on buffalo SCNT embryos are still unclear. Thus, we performed this study to explore the effects and underlying mechanism of KDM4D on buffalo SCNT embryos. The results revealed that compared with the IVF embryos, the expression level of KDM4D in SCNT embryos was significantly lower at 8- and 16-cell stage, while the level of H3K9me3 in SCNT embryos was significantly higher at 2-cell, 8-cell, and blastocyst stage. Microinjection of KDM4D mRNA could promote the developmental ability of buffalo SCNT embryos. Furthermore, the expression level of ZGA-related genes such as ZSCAN5B, SNAI1, eIF-3a, and TRC at the 8-cell stage was significantly increased. Meanwhile, the pluripotency-related genes like POU5F1, SOX2, and NANOG were also significantly promoted at the blastocyst stage. The results were reversed after KDM4D was inhibited. Altogether, these results revealed that KDM4D could correct the H3K9me3 level, increase the expression level of ZGA and pluripotency-related genes, and finally, promote the developmental competence of buffalo SCNT embryos.
Predicting all-cause 90-day hospital readmission for dental patients using machine learning methods
Authors: Li Wei , Lipsky Martin S. , Hon Eric S. , Su Weicong , Su Sharon , He Yao , Holubkov Richard , Sheng Xiaoming , Hung Man 
Published: January 2021

Abstract
Introduction
Hospital readmission rates are an indicator of the health care quality provided by hospitals. Applying machine learning (ML) to a hospital readmission database offers the potential to identify patients at the highest risk for readmission. However, few studies applied ML methods to predict hospital readmission. This study sought to assess ML as a tool to develop prediction models for all-cause 90-day hospital readmission for dental patients.

Methods
Using the 2013 Nationwide Readmissions Database (NRD), the study identified 9260 cases for all-cause 90-day index admission for dental patients. Five ML classification algorithms including decision tree, logistic regression, support vector machine, k-nearest neighbors, and artificial neural network (ANN) were implemented to build predictive models. The model performance was estimated and compared by using area under the receiver operating characteristic curve (AUC), and accuracy, sensitivity, specificity, and precision.

Results
Hospital readmission within 90 days occurred in 1746 cases (18.9%). Total charges, number of diagnosis, age, number of chronic conditions, length of hospital stays, number of procedures, primary expected payer, and severity of illness emerged as the top eight important features in all-cause 90-day hospital readmission. All models had similar performance with ANN (AUC = 0.743) slightly outperforming the rest.

Conclusion
This study demonstrates a potential annual saving of over $500 million if all of the 90-day readmission cases could be prevented for 21 states represented in the NRD. Among the methods used, the prediction model built by ANN exhibited the best performance. Further testing using ANN and other methods can help to assess important readmission risk factors and to target interventions to those at the greatest risk.
Deubiquitylating enzymes in neuronal health and disease
Authors: Amer-Sarsour Fatima , Kordonsky Alina , Berdichevsky Yevgeny , Prag Gali , Ashkenazi Avraham 
Published: January 2021

AbstractUbiquitylation and deubiquitylation play a pivotal role in protein homeostasis (proteostasis). Proteostasis shapes the proteome landscape in the human brain and its impairment is linked to neurodevelopmental and neurodegenerative disorders. Here we discuss the emerging roles of deubiquitylating enzymes in neuronal function and survival. We provide an updated perspective on the genetics, physiology, structure, and function of deubiquitylases in neuronal health and disease.
New particle formation in the remote marine boundary layer
Authors: Zheng Guangjie , Wang Yang , Wood Robert , Jensen Michael P. , Kuang Chongai , McCoy Isabel L. , Matthews Alyssa , Mei Fan , Tomlinson Jason M. , Shilling John E. , Zawadowicz Maria A. , Crosbie Ewan , Moore Richard , Ziemba Luke , Andreae Meinrat O. , Wang Jian 
Published: January 2021

AbstractMarine low clouds play an important role in the climate system, and their properties are sensitive to cloud condensation nuclei concentrations. While new particle formation represents a major source of cloud condensation nuclei globally, the prevailing view is that new particle formation rarely occurs in remote marine boundary layer over open oceans. Here we present evidence of the regular and frequent occurrence of new particle formation in the upper part of remote marine boundary layer following cold front passages. The new particle formation is facilitated by a combination of efficient removal of existing particles by precipitation, cold air temperatures, vertical transport of reactive gases from the ocean surface, and high actinic fluxes in a broken cloud field. The newly formed particles subsequently grow and contribute substantially to cloud condensation nuclei in the remote marine boundary layer and thereby impact marine low clouds.
RUNX1/RUNX1T1 mediates alternative splicing and reorganises the transcriptional landscape in leukemia
Authors: Grinev Vasily V. , Barneh Farnaz , Ilyushonak Ilya M. , Nakjang Sirintra , Smink Job , van Oort Anita , Clough Richard , Seyani Michael , McNeill Hesta , Reza Mojgan , Martinez-Soria Natalia , Assi Salam A. , Ramanouskaya Tatsiana V. , Bonifer Constanze , Heidenreich Olaf 
Published: January 2021

AbstractThe fusion oncogene RUNX1/RUNX1T1 encodes an aberrant transcription factor, which plays a key role in the initiation and maintenance of acute myeloid leukemia. Here we show that the RUNX1/RUNX1T1 oncogene is a regulator of alternative RNA splicing in leukemic cells. The comprehensive analysis of RUNX1/RUNX1T1-associated splicing events identifies two principal mechanisms that underlie the differential production of RNA isoforms: (i) RUNX1/RUNX1T1-mediated regulation of alternative transcription start site selection, and (ii) direct or indirect control of the expression of genes encoding splicing factors. The first mechanism leads to the expression of RNA isoforms with alternative structure of the 5’-UTR regions. The second mechanism generates alternative transcripts with new junctions between internal cassettes and constitutive exons. We also show that RUNX1/RUNX1T1-mediated differential splicing affects several functional groups of genes and produces proteins with unique conserved domain structures. In summary, this study reveals alternative splicing as an important component of transcriptome re-organization in leukemia by an aberrant transcriptional regulator.
Life history, climate and biogeography interactively affect worldwide genetic diversity of plant and animal populations
Authors: De Kort H. , Prunier J. G. , Ducatez S. , Honnay O. , Baguette M. , Stevens V. M. , Blanchet S. 
Published: January 2021

AbstractUnderstanding how biological and environmental factors interactively shape the global distribution of plant and animal genetic diversity is fundamental to biodiversity conservation. Genetic diversity measured in local populations (GDP) is correspondingly assumed representative for population fitness and eco-evolutionary dynamics. For 8356 populations across the globe, we report that plants systematically display much lower GDPthan animals, and that life history traits shape GDPpatterns both directly (animal longevity and size), and indirectly by mediating core-periphery patterns (animal fecundity and plant dispersal). Particularly in some plant groups, peripheral populations can sustain similar GDPas core populations, emphasizing their potential conservation value. We further find surprisingly weak support for general latitudinal GDPtrends. Finally, contemporary rather than past climate contributes to the spatial distribution of GDP, suggesting that contemporary environmental changes affect global patterns of GDP. Our findings generate new perspectives for the conservation of genetic resources at worldwide and taxonomic-wide scales.
Strategies for achieving high key rates in satellite-based QKD
Authors: Ecker Sebastian , Liu Bo , Handsteiner Johannes , Fink Matthias , Rauch Dominik , Steinlechner Fabian , Scheidl Thomas , Zeilinger Anton , Ursin Rupert 
Published: January 2021

AbstractQuantum key distribution (QKD) is a pioneering quantum technology on the brink of widespread deployment. Nevertheless, the distribution of secret keys beyond a few 100 km at practical rates remains a major challenge. One approach to circumvent lossy terrestrial transmission of entangled photon pairs is the deployment of optical satellite links. Optimizing these non-static quantum links to yield the highest possible key rate is essential for their successful operation. We therefore developed a high-brightness polarization-entangled photon pair source and a receiver module with a fast steering mirror capable of satellite tracking. We employed this state-of-the-art hardware to distribute photons over a terrestrial free-space link with a distance of 143 km, and extracted secure key rates up to 300 bits per second. Contrary to fiber-based links, the channel loss in satellite downlinks is time-varying and the link time is limited to a few minutes. We therefore propose a model-based optimization of link parameters based on current channel and receiver conditions. This model and our field test will prove helpful in the design and operation of future satellite missions and advance the distribution of secret keys at high rates on a global scale.