Miracle-dz/UniFAR-FTUs huggingface dataset:
ECMO Used in a Refractory Ventricular Tachycardia and Ventricular Fibrillation Patient

AbstractRefractory cardiac arrhythmia, which has a poor response to defibrillation and antiarrhythmia medication, is a complicated problem for clinical physicians during resuscitation. Extracorporeal membrane oxygenation (ECMO) may be used to sustain life in this situation. ECMO is useful for cardiopulmonary resuscitation among patients suffering from cardiac arrest; the use of ECMO in this context is called E-cardiopulmonary resuscitation. However, a large-scale and nationwide survey of ECMO usage in cases involving refractory cardiac arrhythmia during resuscitation is lacking. We aimed to clarify the characteristics and efficacy of the application of ECMO in cases involving refractory cardiac arrhythmia during resuscitation by conducting a nationwide study.Using national insurance data from 1996 to 2011, 2702 patients who received defibrillation and amiodarone injections were selected. We excluded trauma patients (n = 316) and those aged<20 years (n = 24). A total of 2362 patients were included, 376 of whom had ECMO support, and 1986 of whom had no ECMO support. After propensity score matching, 320 patients had ECMO support and 640 patients without ECMO support. Conditional logistic regression was used to estimate the risk of death in ECMO users compared to non-EMCO users.ECMO used in refractory cardiac arrhythmia with high propensity score patients had lower risk of death (odds ratio [OR] = 0.59, 95% confidence interval [CI] = 0.36–0.98). However, prolonged ECMO used >1 day was higher risk of death (OR = 2.88, 95% CI = 1.27–6.53). In our retrospective case control study in refractory cardiac arrhythmia patients, ECMO supportive in high propensity score patients showed improving the overall survival rate but ECMO support for >1 day would be harmful. The evidence derived from this retrospective study using data from the national insurance system is generally of lower methodological evidence than that from randomized controlled trials because a retrospective study is subject to many biases due to lack of the necessary adjustments for possible confounding factors. Therefore, further investigation with a randomized clinical trial is needed to recommend ECMO as a routine in this specific population of patients experiencing cardiac arrest and refractory VT and VF.
HMM Framework for Industrial Maintenance Activities

This paper uses the Hidden Markov Model to model an industrial process seen as a discrete event system. Different graphical structures based on Markov automata, called topologies, are proposed. We designed a Synthetic Hidden Markov Model based on a real industrial process. This Synthetic Model is intended to produce industrial maintenance observations (or "symbols"), with a corresponding degradation indicator. These time series events are shown as Markov chains, also called "signatures". The production of symbols is generated by using a Uniform and a Normal distribution. Hence, we implemented these various symbols in proposed topologies using Baum-Welch learning algorithm decoding by Forward Variable and Segmental K-means learning, decoding by Viterbi. Through different measurements on model outputs, these frameworks (a topology with a learning & decoding algorithm and a distribution) are compared to determine the best part of criteria applied to observations. Assessment results show significant differences between the various frameworks studied. After determining the most relevant framework, we developed an industrial application and compared it with the best model framework found. Finally, we propose a model adjustment to fit the industrial maintenance activities studied. Our aim is to produce the best Synthetic Model framework to be used to improve maintenance policy, worker safety and process reliability in the industrial sector.
Flavonoids: biosynthesis, biological functions, and biotechnological applications

Flavonoids are widely distributed secondary metabolites with different metabolic functions in plants. The elucidation of the biosynthetic pathways, as well as their regulation by MYB, basic helix-loop-helix (bHLH), and WD40-type transcription factors, has allowed metabolic engineering of plants through the manipulation of the different final products with valuable applications. The present review describes the regulation of flavonoid biosynthesis, as well as the biological functions of flavonoids in plants, such as in defense against UV-B radiation and pathogen infection, nodulation, and pollen fertility. In addition, we discuss different strategies and achievements through the genetic engineering of flavonoid biosynthesis with implication in the industry and the combinatorial biosynthesis in microorganisms by the reconstruction of the pathway to obtain high amounts of specific compounds.
Regulation of cutaneous drug‐metabolizing enzymes and cytoprotective gene expression by topical drugs in human skin in vivo

Background Individuality in the expression and regulation of hepatic drug‐metabolizing enzymes (DMEs) and cytoprotective (CP) genes is an important determinant of treatment response. There is increasing evidence that many DMEs and CP genes are also expressed in human skin. Responses to topical drugs used to treat common skin diseases, such as psoriasis, are unpredictable and may potentially be rationalized, at least in part, by interindividual differences in cutaneous DME and CP gene expression.
Paracrine Effects of Mesenchymal Stem Cells Induce Senescence and Differentiation of Glioblastoma Stem-Like Cells

Glioblastoma multiforme (GBM) displays high resistance to radiation and chemotherapy, due to the presence of a fraction of GBM stem-like cells (GSLCs), which are thus representing the target for GBM elimination. Since mesenchymal stem cells (MSCs) display high tumor tropism, we examined possible antitumor effects of the secreted factors from human MSCs on four GSLC lines (NCH421k, NCH644, NIB26, and NIB50). We found that conditioned media from bone marrow and umbilical cord-derived MSCs (MSC-CM) mediated cell cycle arrest of GSLCs by downregulating cyclin D1. PCR arrays revealed significantly deregulated expression of 13 genes associated with senescence in NCH421k cells exposed to MSC-CM. Among these, ATM, CD44, COL1A1, MORC3, NOX4, CDKN1A, IGFBP5, and SERPINE1 genes were upregulated, whereas IGFBP3, CDKN2A, CITED2, FN1, and PRKCD genes were found to be downregulated. Pathway analyses in GO and KEGG revealed their association with p53 signaling, which can trigger senescence via cell cycle inhibitors p21 or p16. For both, upregulated expression was proven in all four GSLC lines exhibiting senescence after MSC-CM exposure. Moreover, MSC paracrine signals were shown to increase the sensitivity of NCH421k and NCH644 cells toward temozolomide, possibly by altering them toward more differentiated cell types, as evidenced by vimentin and GFAP upregulation, and Sox-2 and Notch-1 downregulation. Our findings support the notion that MSCs posses an intrinsic ability to inhibit cell cycle and induce senescence and differentiation of GSLCs.
Quality of service support for fine-grained sharing on GPUs

GPUs have been widely adopted in data centers to provide acceleration services to many applications. Sharing a GPU is increasingly important for better processing throughput and energy efficiency. However, quality of service (QoS) among concurrent applications is minimally supported. Previous efforts are too coarse-grained and not scalable with increasing QoS requirements. We propose QoS mechanisms for a fine-grained form of GPU sharing. Our QoS support can provide control over the progress of kernels on a per cycle basis and the amount of thread-level parallelism of each kernel. Due to accurate resource management, our QoS support has significantly better scalability compared with previous best efforts. Evaluations show that, when the GPU is shared by three kernels, two of which have QoS goals, the proposed techniques achieve QoS goals 43.8% more often than previous techniques and have 20.5% higher throughput.
Inference of channel types in micro-architectural models of on-chip communication networks

In the multi-core era, on-chip communication networks are key to system correctness and performance. To deal with their growing complexity, micro-architectural models capture the intent of architects and provide means for formal analysis. However, the analysis of such micro-architectural models is restricted to non-scalable and/or very specific approaches. We present a novel scalable approach to support the symbolic channel type inference of large micro-architectural models described in the xMAS language proposed by Intel. We define an algorithm that computes all possible messages that can occur in a communication channel, treating their payload symbolically. These results can be used for further analysis such as verifying absence of misrouting, deriving inductive invariants and deadlock detection. We illustrate our approach on a Spidergon network developed at STMicroelectronics.
Analysis of factors related to the development of ventilator-associated pneumonia: use of existing databases.

OBJECTIVE To investigate factors related to ventilator-associated pneumonia to assist in the development and implementation of prevention strategies. METHODS A retrospective, descriptive design was used. Power analysis determined sample size. A consecutive sample of 120 patients admitted to the critical care units of a level I trauma center who were receiving mechanical ventilation was used. Data were obtained from clinical and financial databases. Variables included demographic data, causative organism of the pneumonia, medications, comorbid conditions, complications, duration of therapies, length of stay, and cost per case. RESULTS The average patient was a 49-year-old man. The sample was 54.9% trauma patients, and the prevalence of ventilator-associated pneumonia was 16.7%. Significant factors included duration of intubation (r = 0.28, P = .005), mechanical ventilation (r = 0.26, P = .005), and tube feeding (r = 0.30, P = .001); trauma (phi = 0.24, P = .009); and use of histamine2 receptor antagonists (phi = -0.25, P = .006). The only variable that significantly increased the odds ratio for ventilator-associated pneumonia was trauma. The only variable that significantly decreased the odds ratio was use of histamine2 receptor antagonists. Patients in whom ventilator-associated pneumonia developed had a 16-day increase in length of stay (t = -2.68, P = .008), and a $29,369 increase in cost per case (t = -3.649, P = .000). CONCLUSIONS These findings provide a baseline for discussions about potential changes in practice to help prevent ventilator-associated pneumonia.
Ursolic Acid Increases Skeletal Muscle and Brown Fat and Decreases Diet-Induced Obesity, Glucose Intolerance and Fatty Liver Disease

Skeletal muscle Akt activity stimulates muscle growth and imparts resistance to obesity, glucose intolerance and fatty liver disease. We recently found that ursolic acid increases skeletal muscle Akt activity and stimulates muscle growth in non-obese mice. Here, we tested the hypothesis that ursolic acid might increase skeletal muscle Akt activity in a mouse model of diet-induced obesity. We studied mice that consumed a high fat diet lacking or containing ursolic acid. In skeletal muscle, ursolic acid increased Akt activity, as well as downstream mRNAs that promote glucose utilization (hexokinase-II), blood vessel recruitment (Vegfa) and autocrine/paracrine IGF-I signaling (Igf1). As a result, ursolic acid increased skeletal muscle mass, fast and slow muscle fiber size, grip strength and exercise capacity. Interestingly, ursolic acid also increased brown fat, a tissue that shares developmental origins with skeletal muscle. Consistent with increased skeletal muscle and brown fat, ursolic acid increased energy expenditure, leading to reduced obesity, improved glucose tolerance and decreased hepatic steatosis. These data support a model in which ursolic acid reduces obesity, glucose intolerance and fatty liver disease by increasing skeletal muscle and brown fat, and suggest ursolic acid as a potential therapeutic approach for obesity and obesity-related illness.
A Social Media Peer Group for Mothers To Prevent Obesity from Infancy: The Grow2Gether Randomized Trial.

BACKGROUND Few studies have addressed obesity prevention among low-income families whose infants are at increased obesity risk. We tested a Facebook peer-group intervention for low-income mothers to foster behaviors promoting healthy infant growth. METHODS In this randomized controlled trial, 87 pregnant women (Medicaid insured, BMI ≥25 kg/m2) were randomized to the Grow2Gether intervention or text message appointment reminders. Grow2Gether participants joined a private Facebook group of 9-13 women from 2 months before delivery until infant age 9 months. A psychologist facilitated groups featuring a curriculum of weekly videos addressing feeding, sleep, parenting, and maternal well-being. Feasibility was assessed using the frequency and content of participation, and acceptability using surveys. Maternal beliefs and behaviors and infant growth were assessed at birth, 2, 4, 6, and 9 months. Differences in infant growth between study arms were explored. We conducted intention-to-treat analyses using quasi-least-squares regression. RESULTS Eighty-eight percent (75/85) of intervention participants (42% (36/85) food insecure, 88% (75/85) black) reported the group was helpful. Participants posted 30 times/group/week on average. At 9 months, the intervention group had significant improvement in feeding behaviors (Infant Feeding Style Questionnaire) compared to the control group (p = 0.01, effect size = 0.45). Intervention group mothers were significantly less likely to pressure infants to finish food and, at age 6 months, give cereal in the bottle. Differences were not observed for other outcomes, including maternal feeding beliefs or infant weight-for-length. CONCLUSIONS A social media peer-group intervention was engaging and significantly impacted certain feeding behaviors in families with infants at high risk of obesity.
Methods for time series analysis of RNA-seq data with application to human Th17 cell differentiation

Motivation: Gene expression profiling using RNA-seq is a powerful technique for screening RNA species’ landscapes and their dynamics in an unbiased way. While several advanced methods exist for differential expression analysis of RNA-seq data, proper tools to anal.yze RNA-seq time-course have not been proposed. Results: In this study, we use RNA-seq to measure gene expression during the early human T helper 17 (Th17) cell differentiation and T-cell activation (Th0). To quantify Th17-specific gene expression dynamics, we present a novel statistical methodology, DyNB, for analyzing time-course RNA-seq data. We use non-parametric Gaussian processes to model temporal correlation in gene expression and combine that with negative binomial likelihood for the count data. To account for experiment-specific biases in gene expression dynamics, such as differences in cell differentiation efficiencies, we propose a method to rescale the dynamics between replicated measurements. We develop an MCMC sampling method to make inference of differential expression dynamics between conditions. DyNB identifies several known and novel genes involved in Th17 differentiation. Analysis of differentiation efficiencies revealed consistent patterns in gene expression dynamics between different cultures. We use qRT-PCR to validate differential expression and differentiation efficiencies for selected genes. Comparison of the results with those obtained via traditional timepoint-wise analysis shows that time-course analysis together with time rescaling between cultures identifies differentially expressed genes which would not otherwise be detected. Availability: An implementation of the proposed computational methods will be available at http://research.ics. aalto.fi/csb/software/ Contact: tarmo.aijo@aalto.fi or harri.lahdesmaki@aalto.fi Supplementary information: Supplementary data are available at Bioinformatics online.
Impact of Different Platelet Glycoprotein IIb/IIIa Receptor Inhibitors Among Diabetic Patients Undergoing Percutaneous Coronary Intervention: Do Tirofiban and ReoPro Give Similar Efficacy Outcomes Trial (TARGET) 1-Year Follow-Up

Background—The platelet glycoprotein IIb/IIIa receptor inhibitor abciximab, a monoclonal antibody, has been shown to improve early and late outcomes among diabetic patients undergoing percutaneous coronary intervention (PCI). It is unknown whether small-molecule agents confer similar benefits. Methods and Results—In 18 countries, 4809 patients undergoing PCI with stent implantation were randomized to tirofiban or abciximab. At the time of enrollment, patients were stratified according to diabetes status. As compared with non-diabetic patients, patients with diabetes (n=1117) showed similar 30-day ischemic outcomes, an increased incidence of any target vessel revascularization (TVR) at 6 months (10.3% versus 7.8%;P = 0.008), and a trend toward higher 1-year mortality (2.5% versus 1.6%;P =0.056). Among diabetic patients randomized to tirofiban (n=560), the incidence of death, myocardial infarction (MI), or urgent TVR at 30 days was 6.2%, and among those randomized to abciximab (n=557) it was 5.4% (hazard ratio [HR] 1.16;P =0.540). At 6 months, the composite of death, MI, or any TVR occurred in 15.7% and in 16.9% of tirofiban and abciximab patients, respectively (HR 0.93;P =0.610). Any TVR occurred in 9.5% and 11.1%, respectively (HR 0.84;P = 0.366). The 1-year mortality was 2.1% in the tirofiban group and 2.9% in the abciximab group (HR 0.74;P = 0.436). Conclusions—Among diabetic patients undergoing PCI, tirofiban and abciximab were associated with comparable event rates, including similar rates of 6-month TVR and 1-year mortality. These findings suggest that the non-glycoprotein IIb/IIIa properties of abciximab do not translate into a discernible long-term clinical benefit among diabetic patients.
Performance Analysis of CSMA With Multi-Packet Reception: The Inhomogeneous Case

The problem of carrier sense multiple access (CSMA) with multi-packet reception (MPR) is studied. Most prior work has focused on the homogeneous case, where all the mobile users are assumed to have identical packet arrival rates and transmission probabilities. The inhomogeneous case remains largely open in the literature. In this paper, we make a first step toward this open problem by deriving throughput and delay expressions for inhomogeneous CSMA, with a particular focus on a family of MPR models. This family of MPR models, which allows us to overcome several challenges associated with conventional analysis, is general enough to include a number of interesting MPR techniques—such as successive interference cancellation, compute-and-forward (C&F), and successive C&F (SCF)—as special cases. Based on these throughput and delay expressions, we provide theoretical guidelines for the network design to meet quality-of-service requirements and to achieve global stability; we also evaluate the performances of various MPR techniques, highlighting the clear advantages offered by SCF.
Efficacy of mouthrinses in inhibiting dental plaque and gingivitis in man.

The aim of the present trial was to determine the effect of different mouthwash preparations used as supplements to regular oral hygiene measures on dental plaque and gingivitis in humans. 96 volunteers were recruited for the study. Following a baseline examination, each subject was given a careful prophylaxis, following which the mouthrinse regimens were initiated. During the 6 weeks of trial, the subjects continued to exercise their regular non-supervised, self-performed plaque control measures. The 96 volunteers were assigned either to 1 or 3 different treatment groups or to a control group according to a randomized code. The members of the control group and the listerine group rinsed with 20 ml of the mouthrinse for 30 s, twice daily, while the members of the chlorhexidine groups (using either a 0.2% or a 0.1% solution) rinsed with 10 ml of the antiseptic solution for 60 s twice daily. Examinations regarding extrinsic stain and plaque were performed at baseline and after 3 and 6 weeks, while the conditions of the gingiva were examined at baseline and after 6 weeks. Extrinsic stain was evaluated using the Lobene index, plaque was assessed by the Turesky modification of Quigley-Hein index and the gingival condition was examined using the gingival index system of Loe & Silness. The results of the trial demonstrated that the 3 active mouthwash preparations used as supplements to regular tooth cleaning measures markedly improved both the oral hygiene status and the gingival conditions of the participating human volunteers, compared to the control rinse. (ABSTRACT TRUNCATED AT 250 WORDS)
Preparation of Chitosan-Based Adhesives and Assessment of Their Mechanical Properties

The aim of this study is to develop chitosan-based adhesives and to characterize their shear strength. The desirable fea- tures of such adhesives are biodegradability, biocompatibility, non-toxicity, and anti-microbial properties. Various eco-friendly polya- nionic polysaccharides, acids, and plasticizers, in single or multiple formulations, were associated with chitosan. The resulting cross- linked polymers were glued on some chemically treated aluminum adherends. The shear strength of these formulations was measured with the ''double lap-joint'' bonding method, as it features a low-peeling effect. The shear strength of 40.8 MPa obtained for formula- tions containing chitosan and glycerol plasticizer was the most significant finding in this study. This value is equivalent to that obtained with a synthetic adhesive used in industry. V C 2012 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 000: 000-000, 2012
Aperiodic Deformation Occurring as a Result of Thermoplastic Instability of Metals

The author developed a three-dimensional model for the description of fast plastic deformation of metals in the case of cutting. Shear strain occurring as a result of shear stress has a reverse effect on stress, while the temperature of the material is increasing. These counteracting effects may lead to thermomechanic instability, which may result in aperiodic chaotic conditions besides periodic fluctuation due to the non-linear nature of the process. Apart from bifurcation and multi-cycle periodic deformation, the model also describes aperiodic chaotic deformation, which is proven by experimental results.
Pharyngeal Lavage Lymphocytosis in Patients with Obstructive Sleep Apnea: A Preliminary Observation

Background Upper airway inflammation has been previously demonstrated in obstructive sleep apnea (OSA). However, investigation has been hampered by the necessity of invasive tissue biopsies. Objective To evaluate the pharyngeal lavage (PHAL) as a new tool to analyze mucosal inflammation in the pharynx of patients with sleep-related disordered breathing. Patients and Methods 36 patients with a diagnosis of OSA, 14 patients with heavy snorer syndrome (HS) or body position dependent OSA (bd-OSA), and 14 healthy volunteers underwent PHAL. Inflammatory cell counts were compared. Results Neutrophils were the predominant cells in PHAL in all groups (94.3%±0.7%, 98.5%±0.6%, 94.3%±0.7%, and 96.2%±1.4%). OSA patients had significantly increased numbers of lymphocytes (3.2%±0.4%) compared to bd-OSA/HS and controls group (0.5%±0.1% and 0.6%±0.2%, respectively; P<0.05). Patients with moderate to severe OSA had significantly higher numbers of lymphocytes compared to patients with mild OSA (P<0.05). Conclusions Data from this study suggest that PHAL is a feasible tool to investigate upper airway inflammation in OSA. In addition, PHAL demonstrates lymphocytic inflammation of the pharynx in OSA patients. Future studies are warranted to evaluate whether PHAL can be used to monitor disease and whether lymphocytic inflammation is affected by OSA treatment.