Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis in cardiac stability over thirty minute periods

Cardiac stability with little change in heart rate is important when studying the effect of cardiac interventions. The aim of this study was to analyse changes in heart rate during conditions expected to be stable. Subjects were studied during quiet relaxation to allow analysis of cardiac stability over thirty minute periods. Ten subjects with no known cardiac disease were enroled, and gave ethical consent. Their ages were 42±15 years (mean ± standard deviation). Subjects were given time for normal relaxation, but without any controlled conditions. After the study was explained, subjects were then asked to sit quietly on an office chair, while a single channel ECG was recorded to a computer for offline analysis. After a few weeks, subjects were instructed briefly in Zen meditation techniques, and rerecorded in similar conditions. There was a tendency for heart rate to fall and RR intervals to increase over the 30 min period, but overall this was not statistically significant, due primarily to individual subject variation resulting from respiratory effects, especially with the deeper regular breathing during meditation. There were small but significantly reduced heart rates with increased RR intervals during the meditation session, in comparison with relaxed sitting: mean RR interval increasing from 0.78 ± 0.10 s to 0.87 ± 0.13 s (p=0.002), with the mean minimum RR (associated with highest heart rate) increasing from 0.70 ± 0.10 s to 0.74 ± 0.10 s (p=0.008). With preceding uncontrolled relaxation, cardiac changes over a 30 minute period were small, and meditation generated an additional small overall reduction in heart rate, with increased RR intervals.
Betalains in Some Species of the Amaranthaceae Family: A Review

Natural pigments are largely distributed in the plant kingdom. They belong to diverse groups, with distinct biochemical pathways. Betalains with colours that range from yellow to red-violet can de divided into two main subgroups: betaxanthins and betacyanins. These types of pigments are confined into 13 families of the order Caryophyllales and in some genera of higher fungi (Amanita muscaria, Hygrocybe and Hygrophorus). The Amaranthaceae family includes diverse genera in which betalains are present: Alternanthera, Amaranthus, Beta, Chenopodium, Celosia and Gomphrena. The biosynthesis of betalains and their general biological properties were reviwed in the present work. In addition, the types of betalains present in some species of the aforementioned genera, their stability and production, as well as biological attributes, were reviewed.
Analysis of heart rate variability influence on heart rate turbulence using boosted regression trees in heart failure patients

Heart Rate Turbulence (HRT) is a physiological phenomenon used as cardiac risk stratification criterion. The relationship between Heart Rate Variability (HRV) and HRT has been documented in the literature. However, the influence of HRV on HRT using individual tachograms has not been addressed. Our aim was to propose a nonparametric model, based on Boosted Regression Trees (BRT), of turbulence slope (TS) as a function of coupling interval (CI), Age, Sex, and HRV time-domain indices. We used data sets of myocardial infarction (MI) and heart failure (HF) patients. HRV was assessed on 3-min NN interval segments just before to individual ventricular premature complex (VPC) tachograms. We proposed to model TS as a function HRV indices using BRT, which is an ensemble approach to build regression models using several small trees. We segmented data into high risk and low risk according to HRT cut-off values of TS. Variables related to HRV were the most important explaining the HRT in low risk patients, while in patients with high risk, CI and heart rate just before the VPC played an important role explaining the HRT response.
Effect of humic acid and crop residue application on emergence and wheat phenology.

To study the effect of humic acid and crop residues application on wheat, an experiment was conducted at New Development Farm of KPK Agricultural University Peshawar during winter 2011-12. The experiment was laid out in RCB design having four replications. A plot size of 3 x 4m was used. Pirsabak2005 variety was used. Different level of Humic acid @ 1, 1.5, 2 and 2.5 kg ha was applied at sowing time 5 tons ha of mungbean, 10 tons ha of wheat straw and 2 and 5 tons ha of mungbean and wheat straw was incorporated 30 days before sowing. Results revealed that higher days to anthesis (125), days to maturity (157) and plant height (84.6 cm), were recorded from those plots where 2.5 kg ha of humic acid was applied, whereas 5 tons ha mungbean incorporation gave us higher anthesis (123.8), days to maturity (157) and plant height (85.7 cm). It is concluded that 5 tons ha of mungbean residues incorporation and 2.5 kg ha of humic acid application will lead to good vegetative growth.
Hepatic resection for post‐operative solitary liver metastasis from oesophageal squamous cell carcinoma

Liver metastasis is common in patients with oesophageal cancer. The effect of operative intervention for post‐operative solitary liver metastasis from oesophageal squamous cell carcinoma (ESCC) has not previously been examined. This research was to compare the effect of surgery and non‐surgical therapy in patients with post‐operative solitary liver metastasis from ESCC.
Mapping of Transcription Termination within the S Segment of SFTS Phlebovirus Facilitated Generation of NSs Deletant Viruses

ABSTRACT SFTS phlebovirus (SFTSV) is an emerging tick-borne bunyavirus that was first reported in China in 2009. Here we report the generation of a recombinant SFTSV (rHB29NSsKO) that cannot express the viral nonstructural protein (NSs) upon infection of cells in culture. We show that rHB29NSsKO replication kinetics are greater in interferon (IFN)-incompetent cells and that the virus is unable to suppress IFN induced in response to viral replication. The data confirm for the first time in the context of virus infection that NSs acts as a virally encoded IFN antagonist and that NSs is dispensable for virus replication. Using 3′ rapid amplification of cDNA ends (RACE), we mapped the 3′ end of the N and NSs mRNAs, showing that the mRNAs terminate within the coding region of the opposite open reading frame. We show that the 3′ end of the N mRNA terminates upstream of a 5′-GCCAGCC-3′ motif present in the viral genomic RNA. With this knowledge, and using virus-like particles, we could demonstrate that the last 36 nucleotides of the NSs open reading frame (ORF) were needed to ensure the efficient termination of the N mRNA and were required for recombinant virus rescue. We demonstrate that it is possible to recover viruses lacking NSs (expressing just a 12-amino-acid NSs peptide or encoding enhanced green fluorescent protein [eGFP]) or an NSs-eGFP fusion protein in the NSs locus. This opens the possibility for further studies of NSs and potentially the design of attenuated viruses for vaccination studies. IMPORTANCE SFTS phlebovirus (SFTSV) and related tick-borne viruses have emerged globally since 2009. SFTSV has been shown to cause severe disease in humans. For bunyaviruses, it has been well documented that the nonstructural protein (NSs) enables the virus to counteract the human innate antiviral defenses and that NSs is one of the major determinants of virulence in infection. Therefore, the use of reverse genetics systems to engineer viruses lacking NSs is an attractive strategy to rationally attenuate bunyaviruses. Here we report the generation of several recombinant SFTS viruses that cannot express the NSs protein or have the NSs open reading frame replaced with a reporter gene. These viruses cannot antagonize the mammalian interferon (IFN) response mounted to virus infection. The generation of NSs-lacking viruses was achieved by mapping the transcriptional termination of two S-segment-derived subgenomic mRNAs, which revealed that transcription termination occurs upstream of a 5′-GCCAGCC-3′ motif present in the virus genomic S RNA.
Particle-based modelling and simulation in cell mechanics : from adhesion and contraction to cell migration

Mechanics is acquiring a crucial role in biology as a tool to understand fundamental processes in physiology and pathology and for the development of novel technologies associated to the improvement of our health. In fact, mechanics is relevant in many different aspects of biology, depending on the specific spatial scale size under analysis: molecular scale (i.e. DNA transcription, protein folding, chemical cascades and mechanotransduction); cellular scale (i.e. motility, aggregation, morphogenesis and mechanobiology); tissue scale (growth and remodelling); and finally organ scale. Numerical simulation is especially appropriate for this kind of analyses, opening new possibilities for research in this field. In particular, particle-based simulations are very useful, because they are able to capture the large-scale dynamics of multiple components simultaneously incorporating their interactions. In this work, we focus our modelling strategy on two fundamental processes, which are crucial for defining cell motility: cell contractility and cell-matrix adhesion. Actually, cell locomotion is a multiscale process that results from the integrated effect of three main mechanical events that cells exert on the matrix: cell attachment to the matrix (adhesion) in the cell front, internal contraction, and detachment from the matrix at the cell rear. So, initially, we present two particle-based approaches to simulate cell contractility [1] and cell-matrix adhesion [2]. Both models constitute the base of a hybrid computational model for the 1D simulation of individual and collective cell migration regulated by the stiffness gradient of the matrix, a process known as durotaxis [3]. Despite this model is very interesting to simulate collective cell migration, mainly regulated by adhesion dynamics, it presents some limitations to simulate more complex phenomena associated to collective migration of epithelial monolayers. Therefore, to solve these problems we present a novel hybrid computational modelling strategy that combines particle-based and finite element approaches. We show that this hybrid method can be used to model and simulate topological changes on proliferating epithelial tissue driven by cell mechanics [4]. Also, it has been successfully applied to reproduce collective cell migration in epithelial monolayers following stiffness gradients of the substrate and in wound healing and gap closing phenomena.
The q-dependent detrended cross-correlation analysis of stock market

Properties of the q-dependent cross-correlation matrices of the stock market have been analyzed by using random matrix theory and complex networks. The correlation structures of the fluctuations at different magnitudes have unique properties. The cross-correlations among small fluctuations are much stronger than those among large fluctuations. The large and small fluctuations are dominated by different groups of stocks. We use complex network representation to study these q-dependent matrices and discover some new identities. By utilizing those q-dependent correlation-based networks, we are able to construct some portfolios of those more independent stocks which consistently perform better. The optimal multifractal order for portfolio optimization is around q = 2 under the mean-variance portfolio framework, and q∈[2,6] under the expected shortfall criterion. These results have deepened our understanding regarding the collective behavior of the complex financial system.
Tuning Insect Odorant Receptors

Among the insect olfactory receptors the odorant receptors (ORs) evolved in parallel to the onset of insect flight. A special property of this receptor type is the capability to adjust sensitivity of odor detection according to previous odor contacts. This article presents a current view on regulatory processes affecting the performance of ORs and proposes a model of mechanisms contributing to OR sensitization.
Metagenomic chromosome conformation capture (meta3C) unveils the diversity of chromosome organization in microorganisms

Genomic analyses of microbial populations in their natural environment remain limited by the difficulty to assemble full genomes of individual species. Consequently, the chromosome organization of microorganisms has been investigated in a few model species, but the extent to which the features described can be generalized to other taxa remains unknown. Using controlled mixes of bacterial and yeast species, we developed meta3C, a metagenomic chromosome conformation capture approach that allows characterizing individual genomes and their average organization within a mix of organisms. Not only can meta3C be applied to species already sequenced, but a single meta3C library can be used for assembling, scaffolding and characterizing the tridimensional organization of unknown genomes. By applying meta3C to a semi-complex environmental sample, we confirmed its promising potential. Overall, this first meta3C study highlights the remarkable diversity of microorganisms chromosome organization, while providing an elegant and integrated approach to metagenomic analysis. DOI: http://dx.doi. org/10.7554/eLife.03318. 001
The effect of a low-fat maternal diet on neonatal rats

3. i n the liver triglycerides from the control group-the C,, and C,, polyenoic fatty acids constituted 33 % of the total fatty acids. The liver triglyceride concentration in the low-fat group was lower and the concentration of the long-chain polyenoic fatty acids in this fraction was zo yo of the control value. The milk fatty acids from the low-fat group contained only 3 3 % as much of the C1, to CZz polyenoic fatty acids compared with the control group. 4. In the brain lipids from the low-fat group, changes in the fatty acid composition were less marked than in the liver lipids. In these experiments there were only small amounts of 20: 3w9 in the tissue lipids; the ratio to zo:4w6 was less than I. 5. These changes are discussed in relation to the influence of dietary lipids on tissue growth especially of lipid-rich tissues such as the brain.
Sleep characteristics and inflammatory biomarkers among midlife women

Study Objectives Research suggests that sleep disturbances are associated with elevated levels of inflammation. Some evidence indicates that women may be particularly vulnerable; increased levels of inflammatory biomarkers with sleep disturbances are primarily observed among women. Midlife, which encompasses the menopause transition, is typically reported as a time of poor sleep. We tested whether poorer objectively measured sleep characteristics were related to a poorer inflammatory profile in midlife women. Methods Two hundred ninety-five peri- and postmenopausal women aged 40-60 completed 3 days of wrist actigraphy, physiologic hot flash monitoring, questionnaires (e.g. Berlin sleep apnea risk questionnaire], and a blood draw for the assessment of inflammatory markers, including C-reactive protein (CRP), interleukin-6 (IL-6), and von Willebrand factor (VWF) antigen. Associations of objective (actigraphy) sleep with inflammatory markers were tested in regression models. Sleep efficiency was inverse log transformed. Covariates included age, race/ethnicity, education, body mass index, sleep apnea risk, homeostatic model assessment (a measure of insulin resistance), systolic blood pressure, low-density lipoprotein cholesterol, and physical activity. Results In separate models controlling for age, race/ethnicity, and education, lower sleep efficiency was associated with higher IL-6 [b(SE) = . 02 (.10), p = . 003] and VWF [b(SE) = . 02 (.08), p = . 002]. More minutes awake after sleep onset was associated with higher VWF [b(SE) = . 12 (.06), p = . 01]. Findings persisted in multivariable models. Conclusions Lower sleep efficiency and more minutes awake after sleep onset were independently associated with higher circulating levels of VWF. Lower sleep efficiency was associated with higher circulating levels of IL-6. These findings suggest that sleep disturbances are associated with greater circulating inflammation in midlife women.
Intrinsic connections in the anterior dorsal ventricular ridge of the lizard psammodromus algirus

We have studied the intrinsic connections of the anterior dorsal ventricular ridge (ADVR) in the lacertid lizard Psammodromus algirus by means of retrograde transport of horseradish peroxidase (HRP) and fluorescent labeling with the lipophilic carbocyanine dye DiI. We injected HRP into different regions in the ADVR arrayed in a medial‐to‐lateral sequence, with each consisting of three distinct superficial‐to‐deep zones. When HRP was injected into a given region, many labeled neurons (always located ipsilateral to the injection site) were found at all mediolateral regions of ADVR in locations rostrally distant from the injection site. DiI crystals were applied on different superficial‐to‐deep zones within each region. Two patterns could be recognized: DiI crystals applied on the periventricular (most superficial) zone resulted in a labeling of cells widely distributed throughout the ADVR independently of the mediolateral region of the application site, whereas DiI crystals applied on deeper zones resulted in a staining of cells mostly restricted to a narrow radial area. Results from both types of labeling confirm that the ADVR has a prominent radial component in its intrinsic organization, but they also demonstrate that some areas of the ADVR receive projections from distant, rostrally located neurons in every ipsilateral region of the ridge itself, which establishes a clear non‐radial component. This organization may have important functional properties with regard to a putative integration of different sensory modalities conveyed by thalamic afferent fibers to the ADVR. Last, we analyzed some evolutionary implications of our results. © 1996 Wiley‐Liss, Inc.
Memristor Crossbar Tiles in a Flexible, General Purpose Neural Processor

Memristor crossbar arrays have been proposed for use in synthetic neuron hardware due to their high density, non-volatile programmable conductances, and ability to perform dot-product computation efficiently. However, fitting complete neural networks into multiple, uniformly sized crossbars often results in poor memristor and neuron utilization. In this paper, we propose the use of smaller crossbar tiles that can be flexibly combined to create a variety of crossbar sizes and aspect ratios to more closely fit the ideal sizes required. We examine the throughput/power and throughput/area metrics of custom versus tiled designs for three different neural network applications, representing widely differing design points. We demonstrate that a general purpose neural processor, using a single tile size, compares reasonably with highly specialized neural processor designs using multiple, optimally sized custom crossbars. These results indicate that general purpose memristive crossbar-based neural processors are practical.
Design and Optimization of Multiport Pixel Antennas

We describe a method for the design and optimization of multiport pixel antennas for application in multiple-input multiple-output (MIMO) communication systems. A rectangular grid of pixels with connections between them is used as a design surface for multiport antenna design. Genetic algorithm optimization is used to find the optimal configuration of connections between pixels and multiple input port locations under the constraints of high isolation between all ports and good impedance matching for all ports over the desired frequency band and/or beam direction. The method utilizes a scalar single-objective function that takes account of return loss, isolation between ports, and antenna gain, and makes use of the internal multiport method. Examples of MIMO antenna optimization for a 2-port MIMO dual-band antenna operating at 2.4 and 5 GHz without pattern optimization and an example for a 2-port MIMO single-band antenna operating at 5 GHz with pattern optimization (forming orthogonal endfire main beams) are provided.
Wearable pressure sensor array for health monitoring

Measuring the arterial waveform in real-time using wearable devices mounted directly on skin holds promise in assessing cardiovascular health status and detecting an early onset of cardiovascular disease. We report the use of modern high performance MEMS pressure sensors for wearable health monitoring. The low-cost sensor elements were incorporated onto a flexible wristband for radial artery pulse measurement. These sensor elements were configured as an array and attached to a wristband. The device operation was tested on 13 healthy subjects and from each subject we successfully derived the average arterial waveform, located the diastolic and systolic peaks together with Dicrotic notch and calculated the heart rate. In the future, the MEMS pressure sensors might be employed for mobile and remote cardiovascular health monitoring.
Sensitivity analysis on an AC600 aluminum skin component

New materials are been introduced on the car body in order to reduce weight and fulfil the international CO2 emission regulations. Among them, the application of aluminum alloys is increasing for skin panels. Even if these alloys are beneficial for the car design, the manufacturing of these components become more complex. In this regard, numerical simulations have become a necessary tool for die designers. There are multiple factors affecting the accuracy of these simulations e.g. hardening, anisotropy, lubrication, elastic behavior. Numerous studies have been conducted in the last years on high strength steels component stamping and on developing new anisotropic models for aluminum cup drawings. However, the impact of the correct modelling on the latest aluminums for the manufacturing of skin panels has been not yet analyzed. In this work, first, the new AC600 aluminum alloy of JLR-Novelis is characterized for anisotropy, kinematic hardening, friction coefficient, elastic behavior. Next, a sensitivity analysis is conducted on the simulation of a U channel (with drawbeads). Then, the numerical an experimental results are correlated in terms of springback and failure. Finally, some conclusions are drawn.
Barkhausen Evaluation about Surfa Residual Stress of Ferromagnetism Material

It is study of residual stress measuring to super-strength steel by the method of Barkhausen Noise.Get the the demarcate curve from the relation about Barkhausen Noise and stress by the Cantilever stress loading experimentation,then half-rationing calculated the residual stress value by Demarcate curve.And the value measured will be contrasted to the values by the X-ray method.It is finded that the residual stress on parts surface or in can be measured deep by Brakhausen method,and can evaluate the residual stress to the machined parts.
Comparison of Different Methods used for Fire Detection

Fire Detection system plays an important role in surveillance and security systems. Fire detection systems are primarily designed to warn occupants of fire so that they may safely evacuate the premises. Correctly maintained and operating systems are effective and proven life saving devices. The available methods are based on mainly color and motion based methods, which detects fire using the color and motion features of fire. We can also use several classifiers to classify the fire pixels from non-fire pixels. The combination of several classifiers for the training process will give high performance. The system which uses the complementary information, based on color, shape variation, and motion analysis, will give better recognition compared to other methods. KeywordsFire detection, Multi-Expert Systems, motion based methods, color based methods