Miracle-dz/UniFAR-FTUs huggingface dataset:
Impact of gout on in-hospital outcomes of acute coronary syndrome-related hospitalizations and revascularizations: Insights from the national inpatient sample

BACKGROUND Previous studies have established a role of gout in predicting risk and prognosis of cardiovascular diseases. However, large-scale data on the impact of gout on inpatient outcomes of acute coronary syndrome (ACS)-related hospitalizations and post-revascularization is inadequate. AIM To evaluate the impact of gout on in-hospital outcomes of ACS hospitalizations, subsequent healthcare burden and predictors of post-revascularization inpatient mortality. METHODS We used the national inpatient sample (2010-2014) to identify the ACS and gout-related hospitalizations, relevant comorbidities, revascularization and post-revascularization outcomes using the ICD-9 CM codes. A multivariable analysis was performed to evaluate the predictors of post-revascularization in-hospital mortality. RESULTS We identified 3144744 ACS-related hospitalizations, of which 105198 (3.35%) also had gout. The ACS-gout cohort were more often older white males with a higher prevalence of comorbidities. Coronary artery bypass grafting was required more often in the ACS-gout cohort. Post-revascularization complications including cardiac (3.2% vs 2.9%), respiratory (3.5% vs 2.9%), and hemorrhage (3.1% vs 2.7%) were higher whereas all-cause mortality was lower (2.2% vs 3.0%) in the ACS-gout cohort (P < 0.001). An older age (OR 15.63, CI: 5.51-44.39), non-elective admissions (OR 2.00, CI: 1.44-2.79), lower household income (OR 1.44, CI: 1.17-1.78), and comorbid conditions predicted higher mortality in ACS-gout cohort undergoing revascularization (P < 0.001). Odds of post-revascularization in-hospital mortality were lower in Hispanics (OR 0.45, CI: 0.31-0.67) and Asians (OR 0.65, CI: 0.45-0.94) as compared to white (P < 0.001). However, post-operative complications significantly raised mortality odds. Mean length of stay, transfer to other facilities, and hospital charges were higher in the ACS-gout cohort. CONCLUSION Although gout was not independently associated with an increased risk of post-revascularization in-hospital mortality in ACS, it did increase post-revascularization complications.
Research Note - Two Competing Perspectives on Automatic Use: A Theoretical and Empirical Comparison

Although much research has examined conscious use, which involves deliberate evaluation and decision making, we know less about automatic use, which occurs spontaneously with little conscious effort. The objective of this study is to compare two contrasting views in the literature on the nature of automatic use, namely, the habit/automaticity perspective (HAP) and the instant activation perspective (IAP). According to HAP, automatic use occurs because of the force of habit/automaticity without the formation of evaluations and intention; thus, past use-which is a proxy for habit/automaticity-is believed to weaken the evaluations-intention-usage relationship. In contrast, IAP posits that automatic use is simply an expedited form of conscious use; accordingly, as with conscious use, automatic use is still a function of evaluations/intention, so past use will not weaken the evaluations-intention-usage relationship. We tested the competing hypotheses using 2,075 cross-sectional and 990 longitudinal responses from actual users of two online news sites. Our results show that the evaluations-intention-usage relationship is generally weaker among heavier users than among lighter users. These findings suggest that with an increase in past use, user behavior becomes less evaluative and less intentional, in support of the argument that automatic use is driven more by habit/automaticity than by instant activation of cognitions. Overall, this research shows an initial piece of evidence of the moderating role of past use in postadoption phenomena, and it is expected to help the information systems community systematically investigate the important yet underexplored subject of habit/automaticity.
Arginase and polyamine synthesis are key factors in the regulation of experimental leishmaniasis in vivo

Arginase 1, an enzyme induced by Th2 cytokines, is a hallmark of alternatively activated macrophages and is responsible for the hydrolysis of l‐arginine into ornithine, the building block for the production of polyamines. Upregulation of arginase 1 has been observed in a variety of diseases, but the mechanisms by which arginase contributes to pathology are not well understood. We reveal here a unique role for arginase 1 in the pathogenesis of nonhealing leishmaniasis, a prototype Th2 disease, and demonstrate that the activity of this enzyme promotes pathology and uncontrolled growth of Leishmania parasites in vivo. Inhibition of arginase activity during the course of infection has a clear therapeutic effect, as evidenced by markedly reduced pathology and efficient control of parasite replication. Despite the clear amelioration of the disease, this treatment does not alter the Th2 response. To address the underlying mechanisms, the arginase‐induced l‐arginine catabolism was investigated and the results demonstrate that arginase regulates parasite growth directly by affecting the polyamine synthesis in macrophages.
Optimizing radiotherapy with immune checkpoint blockade in hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is the fifth most common cancer, and its incidence is rapidly increasing in North America and Western Europe as well as South-East Asia. Patients with advanced stage HCC have very poor outcomes; therefore, the discovery of new innovative approaches is urgently needed. Cancer immunotherapy has become a game-changer and revolutionized cancer treatment. A comprehensive understanding of tumor-immune interactions led to the development of immune checkpoint inhibitors (ICIs) as new therapeutic tools, which have been used with great success. Targeting immune checkpoint molecules such as programmed cell death-1 (PD-1) and cytotoxic T lymphocyte-associated protein-4 (CTLA-4) reinvigorates anti-tumor immunity by restoring exhausted T cells. Despite their effectiveness in several types of cancer, of the many immune suppressive mechanisms limit the efficacy of ICI monotherapy. Radiation therapy (RT) is an essential local treatment modality for a broad range of malignancies, and it is currently gaining extensive attention as a promising combination partner with ICIs because of its ability to trigger immunogenic cell death. The efficacy of combination approaches using RT and ICIs has been well documented in numerous preclinical and clinical studies on various types of cancers but not HCC. The application of ICIs has now expanded to HCC, and RT is recognized as a promising modality in HCC. This review will highlight the current roles of PD-1 and CTLA-4 therapies and their combination with RT in the treatment of cancers, including HCC. In addition, this review will discuss the future perspectives of the combination of ICIs and RT in HCC treatment.
ody appreciation in adult women : Relationships with age nd body satisfaction

The major aim of the present study was to investigate the effect of age on positive body image (operationalized as body appreciation) across the female lifespan. A secondary aim was to examine the effect of age on the relationship between positive body image and body satisfaction. Participants were 158 women aged between 18 and 75 years who completed questionnaire measures of body appreciation and body
Falls rate increase and foot dorsal flexion limitations are exhibited in patients who suffer from asthma: A novel case-control study

Purpose: Based on the possible association between reduced foot dorsiflexion and high risk of falls, the main objective was to determine the ankle and 1º metatarsophalangeal joint (1stMTTP) dorsiflexion range of motion and falls rate in patients with asthma compared to healthy matched-paired controls. Methods: A case-control study was carried out. Eighty participants were recruited and divided into patients with asthma (case group; n=40) and matched-paired healthy participants (control group; n=40). Foot dorsal flexion range of motion (assessed by the Weight-Bearing Lunge Test [WBLT]) and falls rate (evaluated as falls number during the prior year) were considered as the primary outcomes. Indeed, ankle dorsiflexion was measured by a mobile app (º) and a tape measure (cm) as well as 1stMTTP dorsiflexion was determined by and universal goniometer (º). Results: Statistically significant differences (P<.05) showed that patients with asthma presented a greater falls rate than healthy participants and reduced bilateral ankle and 1stMTTP dorsiflexion ranges of motion than healthy participants, except for the left ankle dorsiflexion measured as degrees (P>.05). Conclusions: These study findings showed that a falls rate increase and bilateral foot dorsal flexion limitations of the ankle and 1stMTTP joints are exhibited in patients who suffer from asthma.
Network quality of service monitoring for IP telephony

This paper presents a non‐intrusive method of determining network performance parameters for voice packet flows within a Voice over IP, or Internet Telephony call. An advantage of the method is that it allows not only end‐to‐end performance monitoring of flows, but also makes it possible to inspect the transport parameters of a specific network or link when delay sensitive traffic transits through it. The results of a preliminary test, to check the validity of the method, are also included.
In silico Prediction of Human Secretory Proteins in Plasma Based on Discrete Firefly Optimization and Application to Cancer Biomarkers Identification

The early control and prevention of cancer contributes effectively interventions and cancer therapies. Secretory protein, one of the richest biomarkers, is proved important as molecular signposts of the physiological state of a cell. In this work, we aim to propose a proteomic high-throughput technology platform to facilitate detection of early cancer by means of biomarkers that secreted into the bloodstream. We compile a new benchmark dataset of human secretory proteins in plasma. A series of sequence-derived features, which have been proved involved in the structure and function of the secretory proteins, are collected to mathematically encode these proteins. Considering the influence of potential irrelevant or redundant features, we introduce discrete firefly optimization algorithm to perform feature selection. We evaluate and compare the proposed method SCRIP (Secretory proteins in plasma) with state-of-the-art approaches on benchmark datasets and independent testing datasets. SCRIP achieves the average AUC values of 0.876 and 0.844 in five-fold the cross-validation and independent test, respectively. Besides that, we also test SCRIP on proteins in four types of cancer tissues and successfully detect 66∼77% potential cancer biomarkers.
Five-year follow-up of hemoptysis with no malignancy suspected on chest computed tomography: recurrence, lung cancer and mortality

ABSTRACT Background: Evidence from recent years suggests most cases of hemoptysis to be caused by non-malignant etiologies, but the long-term outcome for these patients has been less thoroughly investigated. Objective: We aimed to assess the rates of hemoptysis recurrence, new lung cancer diagnoses and death within 5 years of initial referral for hemoptysis. Design: In this retrospective study, we reviewed clinical records of consecutive patients referred to evaluation for hemoptysis with no malignancy suspected on chest computed tomography at Aalborg University Hospital, Denmark, in a seven-year period from 2006 to 2012. Results: A total of 609 patients (mean age 56.7 ± 14.1 years, 60.6% male) were included in the study. The etiology was cryptogenic in 81% of patients and no patients had malignant disease. In the following 5 years, lung cancer developed in 1.5% of patients. Median time to diagnosis was 26 (IQR 18–33) months. Nine percent of patients had at least one recurrence of hemoptysis, and the 5-year mortality rate was 12% with median time to death 31 (IQR 13–43) months. Conclusions: Lung cancer developed in less than 2% within 5 years after referral for hemoptysis with no malignancy suspected on chest computed tomography. Further research is needed to identify risk factors for the development of lung cancer in these patients.
Adaptive Waveform Design for Multiple Radar Tasks Based on Constant Modulus Constraint

Cognitive radar is an intelligent system, and it can adaptively transmit waveforms to the complex environment. The intelligent radar system should be able to provide different trade-offs among a variety of performance objectives. In this paper, we investigate the mutual information (MI) in signal-dependent interference and channel noise. We propose a waveform design method which can efficiently synthesize waveforms and provide a trade-off between estimation performance and detection performance. After obtaining a local optimal waveform, we apply the technique of generating a constant modulus signal with the given Fourier transform magnitude to the waveform. Finally we obtain a waveform that has constant modulus property.
Temporal characteristics of NF-κB inhibition in blocking bile-induced oncogenic molecular events in hypopharyngeal cells

Biliary esophageal reflux at acidic pH is considered a risk factor in laryngopharyngeal cancer. We previously showed the key role NF-κB in mediating acidic bile-induced pre-neoplastic events in hypopharyngeal cells, and that co-administration of specific NF-κB inhibitor, BAY 11-7082, together with acidic bile, can effectively prevent its related oncogenic molecular effects. We hypothesize that the addition of BAY 11-7082 (10μM) either before or after application of acidic bile (400μM conjugated bile acids; pH 4.0), is capable of comparably blocking acidic bile-induced oncogenic molecular phenotypes in murine hypopharyngeal primary cells. We performed immunofluorescence, luciferase assay, western blot and qPCR analysis, demonstrating that 15-min of pre- or post-application of BAY 11-7082 effectively inhibits acidic bile-induced NF-κB activation, transcriptional activation of RELA(p65), STAT3, EGFR, IL-6, bcl-2, WNT5A, “upregulation” of “oncomirs” miR-21, miR-155, miR-192 and “downregulation” of “tumor suppressor” miR-34a, miR-375, miR-451a. Our observations support the understanding that acidic bile-induced deregulation of anti-apoptotic or oncogenic factors, bcl-2, STAT3, EGFR, IL-6, WNT5A, miR-21, miR-155, miR-375, is highly NF-κB-dependent, showing that even post-application of inhibitor can suppress their deregulation. In conclusion, application of specific NF-κB inhibitor, has the capability of adequately blocking the early oncogenic molecular events produced by acidic bile whether it is applied pre or post exposure. In addition to therapeutic implications these findings provide a window of observation into the complex kinetics characterizing the mechanistic link between acidic bile and early neoplasia. Although BAY 11-7082 itself may not be suitable for clinical use, the application of other NF-κB inhibitors merits exploration.
A Semantic Concept Detection for Video Based on Regularized Extreme Learning Machine

This paper explains the concept detection based on the proposed method regularized extreme learning machine. In regularized extreme learning machine deals with the modification of the extreme learning machine to solve the missing data problems. Semantic concept detection is an important step in concept-based semantic video retrieval, which can be regarded as an intermediate descriptor to bridge the semantic gap. Support Vector Machines (SVM) and ELM (Extreme Learning Machine) is most existing methods. However, there are several drawbacks of using SVM, such as the high computational cost and large number of parameters to be optimized. The drawback facing by using ELM is some parameters are needed to be tuned manually. This consumes time for classification process. Instead of these disadvantages we use a proposed ELM called Regularized extreme learning machine (RELM) is used to detect semantic concept of videos. It uses a cascade of L1 penalty (LARS) and L2 penalty (Tikhonov regularization) on ELM (TROP-ELM) to regularize the matrix computation.
Depressive symptoms and the regulation of proinflammatory cytokine expression in patients with coronary heart disease B

Objective: Depressive symptoms increase the risk of morbidity and mortality in patients with coronary heart disease (CHD). Mounting evidence indicates that inflammatory processes may underlie this association. This study examined whether depressive symptoms are associated with the dysregulation of inflammatory cytokine production in response to an in vitro infectious challenge. Methods: Forty-one patients with CHD were enrolled 3 months or more after an acute myocardial infarction or revascularization procedure. Depressive symptoms were assessed through self-report and interviewer ratings. Cytokine production was measured after white blood cells were cultured in vitro with endotoxin in the presence of varying 0022-3999/05/$ – see front matter D 2005 Elsevier Inc. All rights reserved. doi:10.1016/j.jpsychores. 2005.06. 004 B This research was supported by grants from the American Heart Association; the National Alliance for Research on Schizophrenia and Depression; the National Heart, Lung, and Blood Institute; the Michael Smith Foundation for Health Research; and the Canadian Institutes for Health Research. T Corresponding author. Tel. : +1 604 822 3269; fax: +1 604 822 6923. E-mail address: gemiller@psych.ubc. ca (G.E. Miller). concentrations of dexamethasone. Results: Depressive symptoms were not associated with the quantity of in vitro inflammatory cytokine production. However, to the extent that they reported symptoms of depression, patients showed greater sensitivity to the anti-inflammatory properties of glucocorticoids. This was manifested by increased suppression of interleukin-6 (IL-6) and tumor necrosis factor-a (TNF-a) production by dexamethasone. Conclusions: Increased sensitivity to glucocorticoid inhibition could render depressed patients vulnerable to latent infections and inflammatory processes that accelerate the progression of cardiac disease. D 2005 Elsevier Inc. All rights reserved.
Multi objective comparison of GA and LP techniques for generator reactive power optimization

Optimization of Generator output tends to increase the supply capability of generators at different voltage disturbances. The Genetic Algorithm (GA) approach is used in this paper to optimize the effect on the generator reactive power. The three control parameters used are: Generator voltages, Switchable VAR Compensators (SVC) and On Load Transformer tap Changers (OLTC). The proposed technique is tested with IEEE-24 bus system. A case study is done on all optimization variables (control parameters) and effect on generator reactive power output is analyzed. The results are compared with conventional Linear Programming (LP) Technique. The comparison clearly says GA approach performs better in optimization of generator VAR output requirement and also increases voltage stability by loss reduction.
A retrospective descriptive analysis of rabies post-exposure prophylaxis cases in Dalian from 2016 to 2017

Abstract Dalian, China, is a city free of rabies in recent 20 years, but the annual cost for rabies vaccination still brings an economic burden on society and individuals. We did a retrospective descriptive analysis to analyse the reason for this and try to find some ways to resolve it. A total of 10 028 post-exposure prophylaxis (PEP) cases were recorded from January 2016 to December 2017. According to the exposure grades, 32 cases were grade I; 7712 cases were grade II; 2284 cases were grade III. All the patients in the cases were injured by pet dogs without abnormal clinical signs, and 80% of them were home pet dogs. Fifty-two per cent of the pet dogs were vaccinated. All the dogs survived during the PEP vaccination period. The data showed that a considerable proportion of people who did not have exposure risk for rabies had received vaccination. The underlying reasons included social, medical and personal factors. So here we proposed to replace the current ‘five-course’ intramuscular injection with intradermal injection method in the cities free of rabies in China, this can not only achieve effective vaccination but also save resources and eliminate the fear of rabies from victims. Meanwhile we should strengthen communication on rabies knowledge and make a routine evaluation of rabies surveillance system to improve understanding of the risk for rabies from biting animals.
Knowledge management and human language: crossing the chasm

Purpose – Seeks to explore the gap that exists between knowledge management (KM) systems and the natural language materials that form almost all corporate data stores.Design/methodology/approach – A conceptual discussion and approach are taken using recent scientific results in the fields of the semantic web and ontology‐based information extraction.Findings – Provides a high‐level introduction to information extraction (IE) and descriptions of application scenarios for KM tools that exploit IE, a form of natural language analysis to link semantic web models with documents. The paper presents some examples of ontology‐based IE systems, one of which, KIM, is under development in the SEKT Project. KIM offers IE‐based facilities for metadata creation, storage and conceptual search. The system can be used by diverse applications for annotating and querying documents.Originality/value – Focuses on technologies and facilities that will become an important part of next‐generation KM applications.
Robust Gamma regression models for the analysis of health care cost data

The population-mean cost of patients with certain pathologies is the parameter of interest for allocating health resources. It generally depends upon a number of covariates and the presence of outliers yields difficulties in the estimation procedure. Recent research in parametric robust techniques proposed the use of robust estimating equations via M-estimation for the Gamma model [2] and a class of high efficiency and high breakdown point estimators [14] extended to the case of generalized log-gamma
Implantation associated divergence in neutrophil glucocorticoid and cysteine ‐ X ‐ cysteine receptor genes in cattle

The differential roles of Interferon-tau (IFNT) and Progesterone (P4) in triggering proand anti-inflammatory responses during peri-implantation period were assessed in cows. An ex vivo study was done by isolating neutrophils from the animals post artificial insemination (AI) at defined intervals and analyzing the expression changes of Glucocorticoid receptor-α (GRα) and Interleukin-8 receptor (CXCR1) genes. An in vitro study was also done isolating neutrophils from prepubertal heifers subjecting them to IFNT and Progesterone P4 supplementation separately. We observed that from day 14 post Artificial Insemination, there is a significant up-regulation of neutrophil GRα and CXCR1 in pregnant and non-pregnant cows respectively. The in vitro study showed that IFNT significantly up-regulates GRα whereas P4 significantly up-regulates CXCR1. The total leukocyte count and neutrophil count were also significantly higher in non-pregnant cows. We conclude that IFNT efficiently mediates neutrophil immunosuppression during peri-implantation period in cows by interacting with Interleukin 8 receptor and can also exert ligand independent actions on GRα. * P. Manjari manjari409@gmail.com Iqbal Hyder hyder@tzv.fal. de 1 Krishi Vigyan Kendra, KVK Venkatagiri (YSR Horticulture University), Nellore, Andhra Pradesh 524132, India 2 Department of Veterinary Physiology, NTR CVSc, Gannavaram 521102, India 3 Institute of Farm Animal Genetics (FLI), Mariensee, 31535 Neustadt, Germany 4 Division of Dairy Cattle Physiology, ICAR-NDRI, Karnal, Haryana 132001, India Molecular Biology Reports 1 3 Graphical abstract