Miracle-dz/UniFAR-FTUs huggingface dataset:
Relationship between hospital financial performance and publicly reported outcomes.

BACKGROUND Hospitals that have robust financial performance may have improved publicly reported outcomes. OBJECTIVES To assess the relationship between hospital financial performance and publicly reported outcomes of care, and to assess whether improved outcome metrics affect subsequent hospital financial performance. DESIGN Observational cohort study. SETTING AND PATIENTS Hospital financial data from the Office of Statewide Health Planning and Development in California in 2008 and 2012 were linked to data from the Centers for Medicare and Medicaid Services Hospital Compare website. MEASUREMENTS Hospital financial performance was measured by net revenue by operations, operating margin, and total margin. Outcomes were 30-day risk-standardized mortality and readmission rates for acute myocardial infarction (AMI), congestive heart failure (CHF), and pneumonia (PNA). RESULTS Among 279 hospitals, there was no consistent relationship between measures of financial performance in 2008 and publicly reported outcomes from 2008 to 2011 for AMI and PNA. However, improved hospital financial performance (by any of the 3 measures) was associated with a modest increase in CHF mortality rates (ie, 0.26% increase in CHF mortality rate for every 10% increase in operating margin [95% confidence interval: 0.07%-0.45%]). Conversely, there were no significant associations between outcomes from 2008 to 2011 and subsequent financial performance in 2012 (P > 0.05 for all). CONCLUSIONS Robust financial performance is not associated with improved publicly reported outcomes for AMI, CHF, and PNA. Financial incentives in addition to public reporting, such as readmissions penalties, may help motivate hospitals with robust financial performance to further improve publicly reported outcomes. Reassuringly, improved mortality and readmission rates do not necessarily lead to loss of revenue. Journal of Hospital Medicine 2016;11:481-488. © 2016 Society of Hospital Medicine.
The risk of post-molar gestational trophoblastic neoplasia is higher in heterozygous than in homozygous complete hydatidiform moles.

BACKGROUND Complete hydatidiform mole (CHM) is a high-risk pregnancy for gestational trophoblastic neoplasia (GTN). Patients with CHM have a 10-30% chance of trophoblastic sequelae. CHM includes androgenic homozygous (monospermic) and androgenic heterozygous (dispermic) moles. It is controversial whether the risk of GTN is higher with heterozygous than with homozygous CHM. A prospective cohort study was conducted to assess risk of GTN in homozygous and heterozygous CHM using short tandem repeat (STR) polymorphisms, and a meta-analysis of previous reports. METHODS Twenty-eight consecutive molar pregnancies were evacuated and followed by regular hCG measurements to detect GTN. Persistent GTN was diagnosed according to the International Federation of Gynecology and Obstetrics 2000 system. Cytogenesis of the mole was determined by STR polymorphisms of molar tissue and parental blood. A meta-analysis of the GTN rate from previous reports was conducted using Mantel-Haenszel methods. RESULTS Of 28 molar pregnancies, 24 were homozygous and three were heterozygous CHM. The remaining mole was diandric triploidy (a partial hydatidiform mole). Of the 24 homozygous CHMs, six (25%) cases developed GTN and received chemotherapy. Meanwhile, all three cases (100%) of heterozygous mole developed GTN and needed chemotherapy. The GTN risk was higher in heterozygous (P = 0.029, Fisher's exact test) than homozygous moles. A systematic review revealed only five previous reports (with more than 15 cytogenetically diagnosed cases), and the pooled relative risk of persistent GTN for heterozygous mole was not significant (odds ratio, 2.0; 95% confidence interval, 0.98-4.07). CONCLUSIONS Heterozygous CHM had a higher risk for GTN than homozygous CHM.
Late-onset Alzheimer disease risk variants mark brain regulatory loci

Objective: To investigate the top late-onset Alzheimer disease (LOAD) risk loci detected or confirmed by the International Genomics of Alzheimer's Project for association with brain gene expression levels to identify variants that influence Alzheimer disease (AD) risk through gene expression regulation. Methods: Expression levels from the cerebellum (CER) and temporal cortex (TCX) were obtained using Illumina whole-genome cDNA-mediated annealing, selection, extension, and ligation assay (WG-DASL) for ∼400 autopsied patients (∼200 with AD and ∼200 with non-AD pathologies). We tested 12 significant LOAD genome-wide association study (GWAS) index single nucleotide polymorphisms (SNPs) for cis association with levels of 34 genes within ±100 kb. We also evaluated brain levels of 14 LOAD GWAS candidate genes for association with 1,899 cis-SNPs. Significant associations were validated in a subset of TCX samples using next-generation RNA sequencing (RNAseq). Results: We identified strong associations of brain CR1, HLA-DRB1, and PILRB levels with LOAD GWAS index SNPs. We also detected other strong cis-SNPs for LOAD candidate genes MEF2C, ZCWPW1, and SLC24A4. MEF2C and SLC24A4, but not ZCWPW1 cis-SNPs, also associate with LOAD risk, independent of the index SNPs. The TCX expression associations could be validated with RNAseq for CR1, HLA-DRB1, ZCWPW1, and SLC24A4. Conclusions: Our results suggest that some LOAD GWAS variants mark brain regulatory loci, nominate genes under regulation by LOAD risk variants, and annotate these variants for their brain regulatory effects.
Borrow Cheap, Buy High? The Determinants of Leverage and Pricing in Buyouts

Private equity funds pay particular attention to capital structure when executing leveraged buyouts, creating an interesting setting for examining capital structure theories. Using a large, detailed, international sample of buyouts from 1980-2008, we find that buyout leverage is unrelated to the cross-sectional factors – suggested by traditional capital structure theories – that drive public firm leverage. Instead, variation in economy-wide credit conditions is the main determinant of leverage in buyouts, while having little impact on public firms. Higher deal leverage is associated with higher transaction prices and lower buyout fund returns, suggesting that acquirers overpay when access to credit is easier.
Translating First-Order Theories into Logic Programs

This paper focuses on computing first-order theories under either stable model semantics or circumscription. A reduction from first-order theories to logic programs under stable model semantics over finite structures is proposed, and an embedding of circumscription into stable model semantics is also given. Having such reduction and embedding, reasoning problems represented by first-order theories under these two semantics can then be handled by using existing answer set solvers. The effectiveness of this approach in computing hard problems beyond NP is demonstrated by some experiments.
A retrospective analysis of women's chances to become pregnant after completion of chemotherapy: a single center experience.

PURPOSE With the improvement in anticancer therapies, the survival of women with malignancies has increased and infertility may affect the quality of life of premenopausal women, who experience temporary or permanent amenorrhea due to chemotherapy. The aim of this study was to review the rate of pregnancies among women with malignancy previously treated with chemotherapy. METHODS We retrospectively recorded 317 women younger than 40 years of age who were treated with chemotherapy (and a number of them with additional radiotherapy/RT) due to several malignancies between 2007-2010. The patients who got pregnant after stopping chemotherapy and during followup were analyzed. RESULTS Among women with breast cancer (n=116), malignant lymphoma (n=85), ovarian cancer (n=26) and colon cancer (n=90), 20 got pregnant after a median 22.9 months (range 10.7-96.5) from the end of chemotherapy. Childbearing was uneventful and newborns were healthy. CONCLUSION Women who had previously received chemotherapy for malignancy can get pregnant and deliver healthy newborns.
How to train your multi bottom-up tree transducer

The local multi bottom-up tree transducer is introduced and related to the (non-contiguous) synchronous tree sequence substitution grammar. It is then shown how to obtain a weighted local multi bottom-up tree transducer from a bilingual and biparsed corpus. Finally, the problem of non-preservation of regularity is addressed. Three properties that ensure preservation are introduced, and it is discussed how to adjust the rule extraction process such that they are automatically fulfilled.
Molecular deconvolution of the monoclonal antibodies that comprise the polyclonal serum response

We have developed and validated a methodology for determining the antibody composition of the polyclonal serum response after immunization. Pepsin-digested serum IgGs were subjected to standard antigen-affinity chromatography, and resulting elution, wash, and flow-through fractions were analyzed by bottom-up, liquid chromatography–high-resolution tandem mass spectrometry. Identification of individual monoclonal antibodies required the generation of a database of IgG variable gene (V-gene) sequences constructed by NextGen sequencing of mature B cells. Antibody V-gene sequences are characterized by short complementarity determining regions (CDRs) of high diversity adjacent to framework regions shared across thousands of IgGs, greatly complicating the identification of antigen-specific IgGs from proteomically observed peptides. By mapping peptides marking unique VH CDRH3 sequences, we identified a set of V-genes heavily enriched in the affinity chromatography elution, constituting the serum polyclonal response. After booster immunization in a rabbit, we find that the antigen-specific serum immune response is oligoclonal, comprising antibodies encoding 34 different CDRH3s that group into 30 distinct antibody VH clonotypes. Of these 34 CDRH3s, 12 account for ∼60% of the antigen-specific CDRH3 peptide mass spectral counts. For comparison, antibodies with 18 different CDRH3s (12 clonotypes) were represented in the antigen-specific IgG fraction from an unimmunized rabbit that fortuitously displayed a moderate titer for BSA. Proteomically identified antibodies were synthesized and shown to display subnanomolar affinities. The ability to deconvolute the polyclonal serum response is likely to be of key importance for analyzing antibody responses after vaccination and for more completely understanding adaptive immune responses in health and disease.
Language Impairment and Dyslexia Genes Influence Language Skills in Children With Autism Spectrum Disorders

Language and communication development is a complex process influenced by numerous environmental and genetic factors. Many neurodevelopment disorders include deficits in language and communication skills in their diagnostic criteria, including autism spectrum disorders (ASD), language impairment (LI), and dyslexia. These disorders are polygenic and complex with a significant genetic component contributing to each. The similarity of language phenotypes and comorbidity of these disorders suggest that they may share genetic contributors. To test this, we examined the association of genes previously implicated in dyslexia, LI, and/or language‐related traits with language skills in children with ASD. We used genetic and language data collected in the Autism Genome Research Exchange (AGRE) and Simons Simplex Collection (SSC) cohorts to perform a meta‐analysis on performance on a receptive vocabulary task. There were associations with LI risk gene ATP2C2 and dyslexia risk gene MRPL19. Additionally, we found suggestive evidence of association with CMIP, GCFC2, KIAA0319L, the DYX2 locus (ACOT13, GPLD1, and FAM65B), and DRD2. Our results show that LI and dyslexia genes also contribute to language traits in children with ASD. These associations add to the growing literature of generalist genes that contribute to multiple related neurobehavioral traits. Future studies should examine whether other genetic contributors may be shared among these disorders and how risk variants interact with each other and the environment to modify clinical presentations. Autism Res 2015, 8: 229–234. © 2014 International Society for Autism Research, Wiley Periodicals, Inc.
Remote ischaemic preconditioning in coronary artery bypass surgery: a meta-analysis

Aim Randomised trials exploring remote ischaemic preconditioning (RIPC) in patients undergoing coronary artery bypass graft (CABG) surgery have yielded conflicting data regarding potential cardiovascular and renal protection, and are individually flawed by small sample size. Methods Three investigators independently searched the MEDLINE, EMBASE and Cochrane databases to identify randomised trials testing RIPC in patients undergoing CABG. Results Nine studies with 704 patients were included. Standardised mean difference of troponin I and T release showed a significant decrease (−0.36 (95% CI −0.62 to −0.09)). This difference held true after excluding the trials with cross-clamp fibrillation, the study with off-pump CABG and studies using a flurane as anaesthetic agent (−0.41 (95% CI −0.69 to −0.12), −0.38 (95% CI −0.70 to −0.07) and −0.37 (95% CI −0.63 to −0.12), respectively). A similar trend was also obtained for patients with multivessel disease (−0.41 (95% CI −0.73 to −0.08)). The trials evaluating postoperative creatinine reported a non-significant reduction (0.02 (95% CI −0.09 to 0.13)). Moreover, the length of in-hospital stay was not influenced by the kind of treatment (weighted mean difference 0.27 (95% CI −0.24 to 0.79)). Conclusion RIPC reduced the release of troponin in patients undergoing CABG. Larger randomised trials are needed to clarify the presence of a causal relationship between RIPC-induced troponin release and clinical adverse events.
Scripting XML with Generic Haskell

A generic program is written once and works on values of many data types. Generic Haskell is a recent extension of the functional programming language Haskell that supports generic programming. This paper discusses how Generic Haskell can be used to implement XML tools whose behaviour depends on the DTD or Schema of the input XML document. Example tools include XML editors, databases, and compressors. Generic Haskell is ideally suited for implementing XML tools: • Knowledge of the DTD can be used to provide more precise functionality, such as manipulations of an XML document that preserve validity in an XML editor, or better compression in an XML compressor. • Generic Haskell programs are typed. Consequently, valid documents are transformed to valid documents, possibly structured according to another DTD. Thus Generic Haskell supports the construction of type correct XML tools. • The generic features of Generic Haskell make XML tools easier to implement in a surprisingly small amount of code. • The Generic Haskell compiler may perform all kinds of advanced optimisations on the code, such as partial evaluation or deforestation, which are difficult to conceive or implement by an XML tool developer. By embedding Schema and XML data into Haskell data types, we show how Generic Haskell can be used as a generic XML processing language. We will demonstrate the approach by implementing an XML compressor in Generic Haskell.
Pathology and Molecular Characterization of Escherichia Coli Associated With the Avian Salpingitis-Peritonitis Disease Syndrome

SUMMARY Outbreaks of salpingitis and peritonitis cause major economic losses due to high mortality, reduced egg-production, and culling. The aim of the present study was to characterize, in detail, lesions associated with increased mortality in layers due to avianpathogenic Escherichia coli (APEC) and to investigate the population structure of the E. coli involved, which is important for selection of optimal treatment and prophylactic strategies. Among 322 layers received from eight farms with increased mortality due to E. coli, three lesion types were observed; sepsis-like lesions, chronic salpingitis and peritonitis, and chronic salpingitis and peritonitis associated with sepsis-like lesions. One hundred isolates of E. coli obtained in pure culture from the different lesion types were selected for genetic characterization. Six out of 10 submissions (two farms with two submissions) were considered clonal as defined by more than 85% of the typed isolates of E. coli belonging to the same sequence-type (ST). B2 was the most-prevalent phylogroup, including the clonal complex of ST95. The most-important virulence genes of E. coli were demonstrated from both clonal and nonclonal outbreaks, and major differences as to phylogeny and virulence genes were not observed between the lesion types. Cannibalism was more-often observed during polyclonal outbreaks. A new pathotype of APEC is suggested based upon lesions and route of infection, high similarity of virulence genes including plasmid-associated genes, and high frequency of ST95 and other isolates belonging to phylogroup B2. Compared to the best-known pathotypes of E. coli, this needs further investigations, including infection experiments to show if single virulence factors can be pointed out that are specific for the salpingitis-peritonitis pathotype and possibly not found in other pathotypes of E. coli.
Insulin pump use in young adolescents with type 1 diabetes: a descriptive study

Abstract: There is little research on psychosocial factors and insulin pump use in adolescents. The purpose of the present study was to use qualitative and quantitative methods to explore psychosocial issues related to insulin pump use [continuous subcutaneous insulin infusion (CSII)] in youth. Eighteen early adolescents and their parents were interviewed about the experience of using an insulin pump, and transcripts were content‐analyzed. In general, interviewees reported modest improvements in glycemic control with initiation of CSII. Teens and parents did, however, report high levels of satisfaction with pump therapy and increased adolescent responsibility for the diabetes regimen. In addition, pump users reported few issues related to body image, appearance, or social aspects of pump dependency. Chief concerns were related to the demands of initiating pump therapy, pump alarms and malfunctions, potential for regimen non‐compliance with CSII, and school‐related issues. Pump use is not associated with social difficulties, and, in general, youths and their parents report high satisfaction with CSII.
The Associations Between the Religious Background, Social Supports, and Do-Not-Resuscitate Orders in Taiwan

Abstract Prior studies have demonstrated important implications related to religiosity and a do-not-resuscitate (DNR) decision. However, the association between patients’ religious background and DNR decisions is vague. In particular, the association between the religious background of Buddhism/Daoism and DNR decisions has never been examined. The objective of this study was to examine the association between patients’ religious background and their DNR decisions, with a particular focus on Buddhism/Daoism. The medical records of the patients who were admitted to the 3 surgical intensive care units (SICU) in a university-affiliated medical center located at Northern Taiwan from June 1, 2011 to December 31, 2013 were retrospectively collected. We compared the clinical/demographic variables of DNR patients with those of non-DNR patients using the Student t test or &khgr; 2 test depending on the scale of the variables. We used multivariate logistic regression analysis to examine the association between the religious backgrounds and DNR decisions. A sample of 1909 patients was collected: 122 patients had a DNR order; and 1787 patients did not have a DNR order. Old age (P = 0.02), unemployment (P = 0.02), admission diagnosis of “nonoperative, cardiac failure/insufficiency” (P = 0.03), and severe acute illness at SICU admission (P < 0.01) were significantly associated with signing of DNR orders. Patients’ religious background of Buddhism/Daoism (P = 0.04), married marital status (P = 0.02), and admission diagnosis of “postoperative, major surgery” (P = 0.02) were less likely to have a DNR order written during their SICU stay. Furthermore, patients with poor social support, as indicated by marital and working status, were more likely to consent to a DNR order during SICU stay. This study showed that the religious background of Buddhism/Daoism was significantly associated with a lower likelihood of consenting to a DNR, and poor social support was significantly associated with a higher likelihood of having a DNR order written during SICU stay.
First steps in building a large vocabulary continuous speech recognition system for Vietnamese

This paper presents an overview of our activities for building a Large Vocabulary Continuous Speech Recognition (LVCSR) system for Vietnamese implemented at CLIPS-IMAG Laboratory (France) and International Research Center MICA (Vietnam). Firstly, a new methodology for fast text corpora acquisition for minority languages which has been applied to Vietnamese is proposed. Secondly, the first results of a process of building a large speech corpus for Vietnamese (VNSpeechCorpus) and a phonetic dictionary, which is used for automatic alignment process, are also presented. Finally, a language model and an acoustic model are constructed to obtain a LVCSR system for Vietnamese. Index Terms Automatic Speech Recognition, LVCSR, text corpus, speech corpus, pronunciation dictionary, language modeling, acoustic modeling.
NMCA: Neighbour-aware multi-path clustering aggregation in wireless sensor networks

The paper presents a new in-network aggregation algorithm that improves cluster-head and multi-path aggregation in order to address the challenges of energy efficiency and data accuracy in WSNs. We propose a neighbour-aware multi-path clustering aggregation algorithm for data processing and transmission in the network (NMCA). In order to benefit from the advantage of both cluster-based and multi-path schemes, it is a hybrid approach that adaptively switches its data aggregation structure for optimal performance. Performance studies indicate that the proposed algorithm improves data throughput, improves packet receiving rate under the given loss rate and is also more efficient in terms of energy consumption.
Population-Based Continuous Optimization, Probabilistic Modelling and Mean Shift

Evolutionary algorithms perform optimization using a population of sample solution points. An interesting development has been to view population-based optimization as the process of evolving an explicit, probabilistic model of the search space. This paper investigates a formal basis for continuous, population-based optimization in terms of a stochastic gradient descent on the Kullback-Leibler divergence between the model probability density and the objective function, represented as an unknown density of assumed form. This leads to an update rule that is related and compared with previous theoretical work, a continuous version of the population-based incremental learning algorithm, and the generalized mean shift clustering framework. Experimental results are presented that demonstrate the dynamics of the new algorithm on a set of simple test problems.