Miracle-dz/UniFAR-FTUs huggingface dataset:
Clinical Predictors of Appropriate Implantable Cardioverter-Defibrillator Therapies in Primary Prevention: A Retrospective Study

Implantable cardioverter-defibrillator (ICD) in heart failure with reduced ejection fraction (EF) patients reduces risk for sudden cardiac death (SCD). Previous data suggest that the benefit of ICD therapy in real life may be lower than expected from the results of controlled studies and only about one-third of ICD patients receive appropriate therapies. Nevertheless, all ICD patients are at risk of perioperative complications and inappropriate shocks. We retrospectively studied 613 patients undergoing ICD for primary prevention in 2002-2015; we excluded inherited arrhythmogenic syndromes. Patients underwent 12-leads ECG, echocardiography, laboratory tests and quality of life questionnaire. We evaluated comorbidities, appropriate therapies, complications and all-cause mortality. Consecutive patients (age 67 ± 10 years, 81% males, 59% ischaemic aetiology) were followed for 51 ± 31 months. 198 patients (32%) received appropriate ICD therapy, 93 (15%) had inappropriate shocks, 53 (8%) had at least one complication (electrode dysfunction, infection and pocket related) and 191 (33%) died. Multivariate analysis showed atrial fibrillation (OR = 1.8, CI = 1.27 - 2.53; p
Quantification of regional glial fibrillary acidic protein levels in Alzheimer's disease

Objectives – Our objectives were to quantify glial fibrillary acidic protein (GFAP) in brains of Alzheimer's disease (AD) cases, and non‐AD controls to determine the regions with the most severe gliosis in AD. Material and methods –In a case–control design, we used an enzyme‐linked immunosorbent assay (ELISA) to quantify GFAP in frozen brain from four areas of neocortex in 10 AD cases, 10 age‐matched controls, and 10 younger controls from the Honolulu‐Asia Aging Study autopsy archive. Results – Median age at death was 83.5 years for cases and age‐matched controls, and 77 years for younger controls. For the AD cases compared with the age‐matched controls, levels of GFAP in occipital (P=0.01), parietal (P=0.028), and temporal lobes (P=0.004) (but not frontal) were significantly higher in the cases. The median GFAP excess in AD cases compared with age matched controls was highest in the temporal lobe. Conclusions –Regional quantification of GFAP reveals that the glial response is most prominent in the temporal lobe in AD.
A hierarchical Bayesian approach to negative binomial regression Shuai

There is a growing interest in establishing the relationship between the count data y and numerous covariates x through a generalized linear model (GLM), such as explaining the road crash counts from the geometry and environmental factors. This paper proposes a hierarchical Bayesian method to deal with the negative binomial GLM. The Negative Binomial distribution is preferred for modeling nonnegative overdispersed data. The Bayesian inference is chosen to account for prior expert knowledge on regression coefficients in a small sample size setting and the hierarchical structure allows to consider the dependence among the subsets. A Metropolis-Hastings-within-Gibbs algorithm is used to compute the posterior distribution of the parameters of interest through a data augmentation process. The Bayesian approach highly over-performs the classical maximum likelihood estimation in terms of goodness of fit, especially when the sample size decreases and the model complexity increases. Their respective performances have been examined in both the simulated and real-life case studies.
SELECTION OF SUPPLIERS THROUGH DIFFERENT MULTI-CRITERIA DECISION MAKING TECHNIQUES

The main objective of the paper is to provide different multi-criteria decision making approach and to clarify the similarities and dissimilarities, advantages and disadvantages of the method in order to select the better supplier selection approach. An important problem in decision analysis is the evaluation of the difference between two or more different rankings for a set of alternatives. Since a qualified supplier is a key element and a good resource for a buyer in reducing such costs, evaluation and selection of the potential suppliers has become an important component of supply chain management. In this paper some multi-criteria decision making techniques such as Linear weighted method, Categorical method, Fuzzy approach, Analytical Hierarchical process (AHP)are discussed with example. The aim of this article is to understand the strategic operating decision area of the supplier selection process and to aid decision makers with varying degrees of importance to reach consensus in rating alternative suppliers.
A guide to health economic evaluations

Economic evaluations are important in healthcare because they help to inform decisions on allocating resources within cash-limited systems.1,2 Such evaluations are increasingly carried out in appraisals of new treatments, such as those by the National Institute for Health and Clinical Excellence (NICE), the Scottish Medicines Consortium, and the All Wales Medicines Strategy Group. Healthcare professionals and others need a working knowledge of health economic evaluations to assess or reach decisions informed by results from such calculations. Here we discuss different types of health economic evaluations and how the calculations from these analyses are used in decision-making.
CONFIGURATION OF AUDIO AND VIDEO BASED ON MOTION EXTRACTION

To represent an approach in video and audio configuration. Two modalities were used i.e., visual and audio tracks. From audio track, rhythms of music were described by segmentation and detection of music beats. From visual track, dancer’s features and trajectories were extracted to estimate rhythm of motion. Then configuration of visual and audio extractions were performed with two more applications i.e., replacement of background music and music video generation. This paper proposes a method for rhythm extraction from motion pictures based on audio and video configuration. Index Terms — Background music replacement, motion trajectory, music beat, music video generation, rhythm of motion.
Hybrid-genetic algorithms for flexible ligand docking

The present paper attempts to employ hybrid genetic algorithms (GAs) to solve the flexible-ligand docking problem i.e. predicting the binding conformation of a flexible ligand molecule into a rigid protein. Our hybrid GA scheme uses the concept of Lamarckian genetics to perform a local search about an individual, followed by replacing it with a better solution found in its neighborhood. Two local search schemes have been investigated and their performance relative to the standard GA have been compared. Preliminary results obtained on a set of three protein-ligand complexes are encouraging.
rug use and fatal motor vehicle crashes : A case-control study

Drugged driving is a serious safety concern, but its role in motor vehicle crashes has not been adequately studied. Using a case-control design, the authors assessed the association between drug use and fatal crash risk. Cases (n = 737) were drivers who were involved in fatal motor vehicle crashes in the continental United States during specific time periods in 2007, and controls (n = 7719) were participants of the 2007 National Roadside Survey of Alcohol and Drug Use by Drivers. Overall, 31.9% of the cases and 13.7% of the controls tested positive for at least one non-alcohol drug. The estimated odds ratios of fatal crash
Investigation of radiated emissions of a galvanically isolated qZS DC-DC converter

Ten different modulation methods of the isolated quasi Z-source inverter based DC-DC converter were tested to find out radiated emission levels. EMC measurements were performed on a low power 250 W prototype. A radiated emission test was carried out in a GTEM cell (gigahertz transverse electromagnetic cell) according to the EMC standard IEC 61000-4-20. To obtain a complete overview of the emissions, both C and D bands were included in a single test at the start and stop frequencies 30 MHz and 1 GHz, respectively. Measuring bandwidth of 120 kHz with a 6 dB EMI filter was used.
Low-Complexity Tree Architecture for Finding the First Two Minima

In this brief we presents an area-efficient tree architecture for finding the first two minima as well as the index of the first minimum, which is essential in the design of a low-density parity check decoder based on the min–sum algorithm. The proposed architecture reduces the number of comparators by reusing the intermediate comparison results computed for the first minimum in order to collect the candidates of the second minimum. The synthesis and simulation are performed on Xilinx ISE 14.7 using Verilog HDL. As a result, the proposed tree architecture improves the area–time complexity remarkably.
Unsupervised Abnormal Traffic Detection through Topological Flow Analysis

Cyberthreats are a permanent concern in our modern technological world. In the recent years, sophisticated traffic analysis techniques and anomaly detection (AD) algorithms have been employed to face the more and more subversive adversarial attacks. A malicious intrusion, defined as an invasive action in-tending to illegally exploit private resources, manifests through unusual data traffic and/or abnormal connectivity pattern. Despite the plethora of statistical or signature-based detectors currently provided in the literature, the topological connectivity component of a malicious flow is less exploited. Furthermore, a great proportion of the existing statistical intrusion detectors are based on supervised learning, that relies on labeled data. By viewing network flows as weighted directed interactions between a pair of nodes, in this paper we present a simple method that facilitate the use of connectivity graph features in unsupervised anomaly detection algorithms. We test our methodology on real network traffic datasets and observe several improvements over standard AD.
Nutrient intake of pregnant Asian women at Sorrento Maternity Hospital, Birmingham

1. The dietary intake of pregnant Asian women (that is originating from the Indian subcontinent) attending Sorrento Maternity Hospital in Birmingham was determined, using the weighed and recall techniques, at five-weekly intervals from 18 to 38 weeks of pregnancy. 2. Mean energy intake of the group was 7.1 MJ (1700 kcal)/d. The intakes of most nutrients were substantially below those consumed by pregnant European women in Britain, a little below those of expectant Pakistani mothers in Islamabad, and about the same as those of expectant East London mothers. Intakes of vitamin D, total folate, vitamin B6, zinc and magnesium were particularly low. 3. These observations suggest that a number of Asian women in Birmingham are likely to experience nutritional stress in pregnancy, and there is some anthropometric and biochemical evidence from Sorrento, published elsewhere (Bissenden et al. 1981), to support this. 4. A possibly beneficial feature of the diet was a low sodium intake (2 g/d). Previous work at this hospital has noted a lower prevalence of hypertension in pregnant Asian women (Wharton et al. 1980; Bissenden et al. 1981).
Remote ischaemic pre‐conditioning for the prevention of acute kidney injury

Acute kidney injury (AKI) is a common complication associated with high morbidity and mortality in hospitalized patients. One potential mechanism underlying renal injury is ischaemia/reperfusion injury (IRI), which attributed the organ damage to the inflammatory and oxidative stress responses induced by a period of renal ischaemia and subsequent reperfusion. Therapeutic strategies that aim at minimizing the effect of IRI on the kidneys may prevent AKI and improve clinical outcomes significantly. In this review, we examine the technique of remote ischaemic preconditioning (rIPC), which has been shown by several trials to confer organ protection by applying transient, brief episodes of ischaemia at a distant site before a larger ischaemic insult. We provide an overview of the current clinical evidence regarding the renoprotective effect of rIPC in the key clinical settings of cardiac or vascular surgery, contrast‐induced AKI, pre‐existing chronic kidney disease (CKD) and renal transplantation, and discuss key areas for future research.
1H NMR spectra of alcohols and diols in chloroform: DFT/GIAO calculation of chemical shifts

Proton nuclear magnetic resonance (NMR) shifts of aliphatic alcohols in chloroform have been computed on the basis of density functional theory, the solvent being included by the integral‐equation‐formalism polarisable continuum model of Gaussian 09. Relative energies of all conformers are calculated at the Perdew, Burke and Ernzerhof (PBE)0/6‐311+G(d,p) level, and NMR shifts by the gauge‐including atomic orbital method with the PBE0/6‐311+G(d,p) geometry and the cc‐pVTZ basis set. The 208 computed CH proton NMR shifts for 34 alcohols correlate very well with the experimental values, with a gradient of 1.00 ± 0.01 and intercept close to zero; the overall root mean square difference (RMSD) is 0.08 ppm. Shifts for CH protons of diols in chloroform are well correlated with the theoretical values for (isotropic) benzene, with similar gradient and intercept (1.02 ± 0.01, −0.13 ppm), but the overall RMSD is slightly higher, 0.12 ppm. This approach generally gives slightly better results than the CHARGE model of Abraham et al. The shifts of unsaturated alcohols in benzene have been re‐examined with Gaussian 09, but the overall fit for CH protons is not improved, and OH proton shifts are worse. Shifts of vinyl protons in alkenols are systematically overestimated, and the correlation of computed shifts against the experimental data for unsaturated alcohols follows a quadratic equation. Splitting the 20 compounds studied into two sets, and applying empirical scaling based on the quadratic for the first set to the second set, gives an RMSD of 0.10 ppm. A multi‐standard approach gives a similar result. Copyright © 2014 John Wiley & Sons, Ltd.
Biomembrane Templates for Nanoscale Conduits and Networks

Long nanotubes of fluid-lipid bilayers can be used to create templates for photochemical polymerization into solid-phase conduits and networks. Each nanotube is pulled from a micropipette-held feeder vesicle by mechanical retraction of the vesicle after molecular bonding to a rigid substrate. The caliber of the tube is controlled precisely in a range from 20 to 200 nanometers merely by setting the suction pressure in the micropipette. Branched conduits can be formed by coalescing separate nanotubes drawn serially from the feeder vesicle surface. Single nanotubes and nanotube junctions can be linked together between bonding sites on a surface to create a functionalized network. After assembly, the templates can be stabilized by photoinitiated radical cross-linking of macromonomers contained in the aqueous solution confined by the lipid bilayer boundary.
Condition Monitoring of Equipment Using a Joint RSAR and Fuzzy ART Neural Network Method

Working conditions are monitoring parameters are huge and neural network learning time too long in the condition monitoring of multi word condition equipment. To improve monitoring efficiency, a joint rough set attribute reduction (RSAR) and Fuzzy ART (adaptive resonance theory) neural network method is proposed in this study. The dimension of an input vector to Fuzzy ART neural networks can be reduced through RSAR. The updated vectors are used to train Fuzzy ART neural networks. An example is investigated to evaluate the proposed method in this study. Analysis results indicate that the proposed method can save great learning time without losing monitoring capability. Additionally, sensor abnormality and signal transmission issues may be detected as well.
Memory on a chip

The rat hippocampal neurons were cultured on a dish with 64 planer micro electrodes array. Neurons reorganized a functional network, and an external inputs form outer world elicited a reproducible, particular spatiotemporal pattern of evoked action potentials. The patterns were not completely uniform for repeptive stimulation but varied slightly. We previously reported that dissociated rat hippocampal neurons possessed hysterical function in its network dynamics. The spatio-temporal electrical activity of the living neuronal network evoked by paired stimulation is quite different from one evoked by a single stimulation, suggested that the network can “memorize” an existence of precedent stimulation. In this report, the feature of this type of network hysteresis was investigated and the hysteresis was kept for at least 1s and not kept for 10s. In addition, this hysteresis was remarkable only in aged cultures with matured complex network. Network hysteresis depends on internal state of the network, generated by the autonomous activity in self-organized networks.
Adaptive Aberration Correction of Abdominal Images Using PARCA

Clinical images of the abdomen may be degraded by aberrations due to propagation through the abdominal wall, resulting in loss of contrast and reduction in overall image quality. The Parallel Adaptive Receive Compensation Algorithm (PARCA) uses multiple receive beams to compensate for these aberrations. Previous studies have demonstrated that PARCA can restore image quality in tissue-equivalent phantoms scanned with controlled phase and amplitude fluctuations. In this study, PARCA is used to improve clinical images of the abdomen. PARCA processed images show both improved contrast of structures and improved overall image quality.
Cooperative demodulation by link adaptive relaying

In cooperative communication systems, the decode-and-forward (DF) relaying is a practically attractive strategy. Existing techniques for mitigating the error propagation in this scheme can be classified into two groups: the first of these uses link SNRs to evaluate the reliability of the data received by the relay and the second approach is to develop better combining schemes at the destination. In this paper, a combination of both methods has been proposed. The purpose of this work is obtaining performance gain by the degree of freedom in the relay. So the power scaling coefficients in the relay are proposed that give a better performance in comparison with Cooperative MRC (C-MRC). Also a suitable combiner is used in the destination that is a generalization of C-MRC and is an approximation of ML detector. We show the advantage of the new proposed scheme through simulations and analytical analysis in which the coding gain is utilized as a performance metric to compare cooperative detectors. A power scaling coefficient in the relay is proposed that is independent of instantaneous SNR at source-relay link and has a surprising gain when the relay is located close to the source. It is demonstrated that in high SNRs, the average BER of the new relaying scheme with this coefficient almost achieves a lower bound.
User activity-based CF algorithm in value-added services

In order to overcome problems of scoring subjectively, this paper applies CF to recommendation systems of Mobile value-added service, presents the scoring way in value-added service, transfer the users' behavior to the extent of agreement. Meanwhile, using user contact degree to calculate the product rate which users don't give rate in the real world, so as to solve the sparsity problem of CF. At last, experiment is adopted to prove that the method of using service activity with contact degree is better than traditional method in the field of recall frequency and precision.
Predicting attack-prone components with source code static analyzers

No single vulnerability detection technique can identify all vulnerabilities in a software system. However, the vulnerabilities that are identified from a detection technique may be predictive of the residuals. We focus on creating and evaluating statistical models that predict the components that contain the highest risk residual vulnerabilities. The cost to find and fix faults grows with time in the software life cycle (SLC). A challenge with our statistical models is to make the predictions available early in the SLC to afford for cost-effective fortifications. Source code static analyzers (SCSA) are available during coding phase and are also capable of detecting code-level vulnerabilities. We use the code-level vulnerabilities identified by these tools to predict the presence of additional coding vulnerabilities and vulnerabilities associated with the design and operation of the software. The goal of this research is to reduce vulnerabilities from escaping into the field by incorporating source code static analysis warnings into statistical models that predict which components are most susceptible to attack. The independent variable for our statistical model is the count of security-related source SCSA warnings. We also include the following metrics as independent variables in our models to determine if additional metrics are required to increase the accuracy of the model: non-security SCSA warnings, code churn and size, the count of faults found manually during development, and the measure of coupling between components. The dependent variable is the count of vulnerabilities reported by testing and those found in the field. We evaluated our model on three commercial telecommunications software systems. Two case studies were performed at an anonymous vendor and the third case study was performed at Cisco Systems. Each system is a different technology and consists of over one million source lines of C/C++ code. The results show positive and statistically significant correlations between the metrics and vulnerability counts. Additionally, the predictive models produce accurate probability rankings that indicate which components are most susceptible to attack. The models are evaluated with receiver operating characteristic curves where each case study showed over 92% of the area was under the curve. We also performed five-fold cross-validation to further demonstrate statistical confidence in the models. Based on these results we contribute the following theory: Theory. Above a statistically determined threshold, SCSA vulnerability warnings are in the same components as vulnerabilities that are likely to be exploited. Components that contain security-related warnings identified by SCSA are also likely to contain other exploitable vulnerabilities. Software engineers should systematically inspect and test code for other vulnerabilities when a security-related warning is present. Fortifying these vulnerabilities may facilitate other techniques to identify more undetected vulnerabilities.
NO gas sensing properties of ZnO wire-like thin films synthesized by thermal oxidation of sputtered Zn metallic films in air

We investigated the NO gas sensing properties of the ZnO wire-like films synthesized by thermal oxidation of sputtered Zn metallic films in dry air. Morphological characterization revealed that we synthesized polycrystalline wurtzite ZnO films of a wire-like nanostructure with a width of 100–150 nm and a length of several microns. It was found from the gas sensing measurements that the ZnO wire-like films showed a significantly high sensitivity with a maximum sensitivity of 57.6 for 2 ppm NO at 200 °C as well as a reversible fast response to NO with a very low detection limit of 50 ppb. These results suggest that the ZnO wire-like films can be used as the gas sensing materials for low-cost and high-performance NO gas sensors.