Miracle-dz/UniFAR-FTUs huggingface dataset:
Stress Detection Based on ECG Using Discrete Wavelet Transform

Acute stress is the most common form of stress. It comes from demands and pressures of the recent past and anticipated demands and pressures of the near future. This research studied the stress on female students due to mathematical exercises in a noisy environment. Detection of this stress is important because it contributes to diverse pathophysiological changes including sudden death, ischemic diseases (myocardial infarction, angina), and wall motion abnormalities (the motion of a region of the heart muscle is abnormal), as well as to alterations in cardiac regulation as indexed by changes in sympathetic nervous system activity and hemostasis (process which causes bleeding to stop in order to keep blood within a damaged blood vessel unlike hemorrhage). Stress level is difficult to manage because it cannot be measured in a consistent and timely way. One current method to characterize an individual’s stress level is to conduct an interview or to administer a questionnaire during a visit with a physician or psychologist. HRV (Heart rate variability) can be analyzed using both time domain and frequency domain features. Selection of features which vary with the changes of the stress levels is significant and it is important to show relatively reliable behavior. Overall, heart rate variability spectra during baseline conditions related to Left ventricular hypertrophy and congestive heart failure are dominated by high frequency activity. Stress is accompanied by an increase in the Power Spectrum Density (PSD) of Low Frequency (LF) and decrease in PSD of High Frequency (HF). Data (ECG signal) was collected by AD (Data acquisition) Instrument from ten female subjects, in the age range of 20 to 24 years were of asked to perform three levels difficulties of arithmetic tasks. A total of ten statistical features were used in this research extracted through wavelet transform, including: Mean, Maximum, Minimum, ةعمالجا نومألما ةيلك ةلمج ددعلا نورشعلاو ثلاثلا 201 4 291 Standard deviation, Variance, Mode, Median, power spectral density (PSD), energy, entropy and hybrid of them. The SVM (support vector machines) classifier give highest accuracy of 79.5 based on hybrid feature and ribo 3.7 wavelet through LF range.
Team DARwIn

This paper details the hardware, software, and electrical de-sign of the humanoid robot family, DARwIn (Dynamic Anthropomorphic Robot with Intelligence)–a robot family designed as a platform for re-searching bipedal motions. The DARwIn family was the ﬁrst US entry into the humanoid division of RoboCup.
Development of an immunochemical method to detect Lactobacillus kefir

Abstract Kefir is a fermented milk elaborated with kefir grains. It constitutes an ecological system composed by a protein-polysaccharide matrix on which a complex microbiota is naturally immobilized. The objective of this work was to develop an antibody-based method in order to achieve a simple and rapid way to quantify Lactobacillus kefir in a complex environment. Rabbit antisera against isolated S-layer proteins from L. kefir and L. parakefir were obtained. Both antisera recognized the 21 strains of L. kefir and the three strains of L. parakefir analysed by dot-blot. By indirect ELISA, specific antiserum against L. kefir S-layer showed reactivity against pure cultures of both L. kefir and L. parakefir, but did not react with L. brevis cells. Competitive ELISA allowed quantification of L. kefir at concentrations ranging from 5×105 to 108 bacteria ml−1, but neither L. parakefir nor L. brevis pure cultures produced inhibition. Through this approach it was possible to detect 108 L. kefir ml−1 in samples of milk fermented for 48 h at 20°C with different kefir grains. Competitive ELISA developed in our laboratory is a suitable method to detect and quantify L. kefir in milk and in consequence it could be applied to analyse the relationship between the composition of microflora and probiotic and technological characteristics of the products.
RADIAL BASIS FUNCTION NETWORK BASED HYBRID SOLAR AND BATTERY OPERATED DC-DC CONVERTER SYSTEM

In this paper, a radial basis function network (RBFN) controller based three-level boost converter is presented for DC/DC conversion in the solar PV (Photovoltaic) –Battery hybrid system. A neural network based RBFN controller is involved in converter control and maximum power point tracking (MPPT) to trace the maximum power point. The three-level boost converters have a wide range of application in power conversion systems with continuous supply current and high voltage gain. Three-level converter configuration can minimize the voltage stress across the switches and also have a capability of maximum energy transfer from input to output through the series connected boost inductors. The maximum efficiency of 91.9% is achieved for the proposed system configuration at 1000W/m2 irradiation and full load. This kind of converter topology is widely used in DC/DC conversion to step up the voltage to the required level based on the application. The boost type converter is essential in low power generating systems such as solar PV systems, fuel cells, switched mode power supply and other DC supplied systems. The suggested three-level converter configuration is an adequate system for solar PV systems.
Simulation of Electric Fields and Non-Neutral Plasmas

This project has looked at numerical methods of calculating the electric field for arbitrary arrangements of electrodes, with a view to using this data to calculate the distribution of non-neutral plasmas. These techniques could then be applied by other ongoing projects to calculate, for example, the effect of various electrode arrangements on the distribution of positrons within the positron accumulator and Penning trap in use in the department. The results of this project are somewhat mixed. The electric field calculations performed by Dynamic OR (one of the programs written for this project) compare very favourably to results obtained from a widely used piece of commercial software, SIMION. The difference between the two sets of results for a number of sample electrode arrangements is typically less than 1V and correspond to a percentage difference of < 0.1% in several cases. The attempts to calculate the distribution of plasma within these electric fields using numerical methods has been less successful, with no reliable results obtained. The program written for this task, FLTE, tends to converge on a solution very similar to the electric field which yields plasma distributions clustered around electrodes rather than centred around the centre of the cylinder defined in the example used.
Evaluating Emulation-based Models of Distributed Computing Systems

Emulation-based models of distributed computing systems are collections of virtual machines, virtual networks, and other emulation components configured to stand in for operational systems when performing experimental science, training, analysis of design alternatives, test and evaluation, or idea generation. As with any tool, we should carefully evaluate whether our uses of emulation-based models are appropriate and justified. Otherwise, we run the risk of using a model incorrectly and creating meaningless results. The variety of uses of emulation-based models each have their own goals and deserve thoughtful evaluation. In this paper, we enumerate some of these uses and describe approaches that one can take to build an evidence-based case that a use of an emulation-based model is credible. Predictive uses of emulation-based models, where we expect a model to tell us something true about the real world, set the bar especially high and the principal evaluation method, called validation, is comensurately rigorous. We spend the majority of our time describing and demonstrating the validation of a simple predictive model using a well-established methodology inherited from decades of development in the compuational science and engineering community.
Reliability assessment foR Wind tuRbines ConsideRing the influenCe of Wind speed using bayesian netWoRk

The reliability of wind turbine is of great importance for the availability and economical efficiency of wind power system. In this article, a reliability model for wind turbine is built with Bayesian network (BN), in which the influence of wind speed is considered. Causal logic method (CLM) is presented for qualitative modeling, which combines the merits of fault tree in handling technical aspects and the strength of BN in dealing with environmental factors and uncertainty. A novel adjustment method based on expectation is proposed for quantitative calculation, by which historical data and expert judgment are integrated to describe the uncertainty in the prior probability distributions. An approximate inference algorithm combining with dynamic discretization of continuous variables is adopted to obtain the reliability index of wind turbine and its elements. A case study is given to illustrate the proposed method, and the results indicate that wind speed is an important factor for the reliability of wind turbine.
Rapid Diagnosis of Induction Motor Electrical Faults using Convolutional Autoencoder Feature Extraction

Electrical faults such as stator turns fault and broken rotor bars are among the frequently occurring failure modes in induction motors. This article presents a novel deep learning-based approach for the rapid diagnosis of these electrical faults within a short time window of 200 milliseconds. The extended Park's vector, calculated using three-phase supply currents, is chosen as the medium for fault detection. An unsupervised convolutional autoencoder is designed to detect features distinguishing healthy and faulty conditions. The developed features are supplied to a support vector machine to classify the fault conditions. The proposed approach is validated in a laboratory setup consisting of an inverter-fed induction motor operating under time-varying load and speed conditions with an accuracy > 95%.
The Effects of Exogenous Cytokinin on the Morphology and Gender Expression of Osmunda regalis Gametophytes

Abstract The goal of this study was to determine the function of cytokinin in the morphological development and gender expression of gametophytes of Osmunda regalis, a member of Osmundales, sister-group to all other extant leptoporangiate fern families. Gametophytes of Osmunda regalis were grown in multispore populations on C-fern nutrient enriched agar containing 0, 1 nM, 1 µM, and 1 mM kinetin. Higher concentrations of exogenous kinetin reduced gametophyte size (area), disrupted correlations observed in the control between rates of apical notch formation and thallus widening, increased the proportions of asexuals and males, decreased the proportion of females in the population, and correspondingly increased male reproductive effort (antheridia per unit thallus area) and decreased female reproductive effort (archegonia per unit thallus area) compared to the control. Low concentrations of exogenous kinetin increased the proportion of females compared to the control. In the control, thalli with a comparatively deep apical notch tended to be wider (relative to their length) and possess a more circular silhouette relative to thalli with a comparatively shallow apical notch; however, these morphological parameters were independent of gametophyte size and gender. Thus, variance in the rate and planes of cell division and patterns of cell expansion and differentiation, most likely genetic in basis, were observed in the control, and the observed effects of exogenous kinetin were more than a simple “push” towards a phenotype already present in the control.
Effect of selenium and vitamin E supplementation on reproductive indices and biochemical metabolites in Raieni goats

The aim of this study was to investigate the effect of selenium (Se) and vitamin (vit) E supplementation on reproductive indices and biochemical metabolites in Raieni goats. Ninety adult Raieni goats, weighing 43 ± 2.5 kg and with a body condition score of 3.5 ± 0.1, were randomly allocated into nine groups which entered into an experiment with 3 × 3 factorial design. The experimental diets consist of three levels of se (0.0, 0.3 and 0.5 mg/kg of feed) and three levels of vit E (0.0, 20 and 50 mg/kg of feed). At the end of the experiment, blood samples were collected from the jugular vein of all goats into 10-ml vacuum tubes (venoject). Serum was recovered by centrifugation (10 m at 3000 rpm) and stored at –20°C until assayed for the concentration of biochemical metabolites (glucose, cholesterol, triglycerides, low-density lipoprotein (LDL), high-density lipoprotein (HDL), total proteins, albumin and T3 and T4). The results of this experiment revealed that supplementation of diets with Se or vit E had no significant effect on biochemical metabolites or reproductive traits. However, the interactive effect of Se and vit E on reproductive indices was significant (P < 0.05), with goats fed diets containing 0.5 mg/kg Se and 20 mg/kg vit E, giving birth to heavier kids compared to those which received the other dietary treatments.
Pathological uptake with 18-Fluorocholine versus 99mTc-MIBI in the location of the parathyroid glands in hyperparathyroidism. Systematic review and meta-analysis

Introduction: The location of the pathological parathyroid glands in hyperparathyroidism is usually carried out by means of 99mTc-sestamibi scintigraphy, which increases its precision by adding the ultrasound examination. The non-localization of the parathyroid glands increases the difficulties for surgical removal. To increase the detection of pathological glands, other radioactive tracers are used, such as methionine, fluorocholine or 18F-flurpiridaz. Objective: To establish if PET / CT with 18-Fluorocholine in patients with hyperparathyroidism increases the number of uptakes compared to the 99mTc-sestamibi scan. Method: Systematic review and meta-analysis. Two subgroups were analyzed. Subgroup 1: trials comparing both techniques as an initial exploration. Thirteen studies including 1131 examinations were selected (596 PET / CT with 18-Fluorocholine vs. 535 scintigraphy with 99mTc-sestamibi). Meta-analysis was performed following the random effects model and the odds ratio was calculated. Subgroup 2: studies that include 18-Fluorocholine as a rescue examination in patients with a previous negative study with a 99mTc-sestamibi scan. 17 articles including 412 examinations with 359 patients in which there was at least one uptake were selected. Meta-analysis of the prevalence of the number of patients in whom there was at least one uptake was performed using the random effects model. Results: Subgroup 1: The number of patients in which at least one uptake occurs is significantly higher with the 18-Fluorocholine examinations (OR 4.264, 95% CI 2.400-7.577). The prevalence of uptake with 18-Fluorocholine is 0.91 [0.86, 0.95] and with sestamibi 0.68 [0.56, 0.80]. Subgroup 2: the prevalence of uptake among patients with previous negative MIBI studies was 0.90 [0.87, 0.94]. The probability of detection of both techniques in this group reaches 0.98. Publication bias in the meta-analyzes is low. Discussion: 18-Fluorocholine protocols provide higher precision, clearer images, with faster acquisition as well as being readily available for most PET / CT centers. Conclusion: The PET / CT study with 18-Fluorocholine can be recommended as a study for the location of pathological parathyroid glands after studies with negative MIBI.
Developing sustainable value propositions in industrial markets – a case study

This study examines the role of sustainability in customer value propositions in industrial markets. Building on the existing knowledge of customer value propositions, we will examine the role of sustainability in the value propositions and examine two life cycle tools that can be used to verify sustainability arguments. We explore this further with a case study of an industrial technology supplier, giving an example of a sustainable value proposition and descriptions of its value creation mechanisms. We also use a systematic combining approach to link existing knowledge on customer value propositions with the insights gained from the case study to describe the process of developing a sustainable value proposition.
Characterising aspirin use in cardiovascular disease in middle-aged and older adults in Ireland: findings from The Irish Longitudinal Study on Ageing

Background Aspirin use for cardiovascular indications is widespread despite evidence not supporting use in patients without cardiovascular disease (CVD). This study characterises aspirin prescribing among people aged [≥]50 years in Ireland for primary and secondary prevention, and factors associated with prescription. Methods This cross-sectional study includes participants from wave 3 (2014-2015) of The Irish Longitudinal Study on Ageing. We identified participants reporting use of prescribed aspirin, other antiplatelets/anticoagulants, and doctor-diagnosed CVD (MI, angina, stroke, TIA) and other cardiovascular conditions. We examined factors associated with aspirin use for primary and secondary prevention in multivariate regression. For a subset, we also examined 10-year cardiovascular risk (using the Framingham general risk score) as a predictor of aspirin use. Results Among 6,618 participants, the mean age was 66.9 years (SD 9.4) and 55.6% (3,679) were female. Prescribed aspirin was reported by 1,432 participants (21.6%), and 77.6% of aspirin users had no previous CVD. Among participants with previous CVD, 17% were not prescribed aspirin/another antithrombotic. This equates to 201,000 older adults nationally using aspirin for primary prevention, and 16,000 with previous CVD not prescribed an antithrombotic. Among those without CVD, older age, male sex, free health care, and more GP visits were associated with aspirin prescribing. Cardiovascular risk was significantly associated with aspirin use (adjusted relative risk 1.15, 95%CI 1.08-1.23, per 1% increase in cardiovascular risk). Conclusion Almost four-fifths of people aged [≥]50 years on aspirin have no previous CVD, equivalent to 201,000 adults nationally, however prescribing appears rational in targeting higher cardiovascular risk patients.
Growth of Red Abalone, Haliotis rufescens (Swainson), Along the North Coast of California

ABSTRACT Red abalone, Haliotis rufescens (Swainson), were tagged and recovered for growth and movement studies in northern California. Tagging and recoveries were conducted at north Point Cabrillo and south Point Cabrillo from 1971 through 1976 (no tagging or recoveries at south Point Cabrillo in 1973 and 1974), at Van Damme State Park from 1973 through 1975, and at Stornetta Ranch and Pedotti Ranch in 1975 and 1976. Von Bertalanffy growth curves were fit by area and year. Growth was found to vary by year and by study site. Fitted Linf range was from 184–232 mm, and age at legal sport size ranged from 8–20 y. The fasted growth rates were observed at north Point Cabrillo.
Males Benefit from Mating with Outbred Females in Drosophila littoralis: Male Choice for Female Genetic Quality?

The evolution and expression of mate choice behaviour in either sex depends on the sex-specific combination of mating costs, benefits of choice and constraints on choice. If the benefits of choice are larger for one sex, we would expect that sex to be choosier, assuming that the mating costs and constraints on choice are equal between sexes. Because deliberate inbreeding is a powerful genetic method for experimental manipulation of the quality of study organisms, we tested the effects of both male and female inbreeding on egg and offspring production in Drosophila littoralis. Female inbreeding significantly reduced offspring production (mostly due to lower egg-to-adult viability), whereas male inbreeding did not affect offspring production (despite a slight effect of paternal inbreeding on egg-to-adult viability). As inbreeding depressed female quality more than male quality, the benefits of mate choice were larger for males than for females. In mate choice experiments, inbreeding did not affect male mating success (measured as a probability to be accepted as a mate in a large group), suggesting that females did not discriminate among inbred and outbred males. In contrast, female mating success was affected by inbreeding, with outbred females having higher mating success than inbred females. This result was not explained by lower activity of inbred females. Our results show that D. littoralis males benefit from mating with outbred females of high genetic quality and suggest adaptive male mate choice for female genetic quality in this species. Thus, patterns of mating success in mate choice trials mirrored the benefits of choice: the sex that benefited more from choice (i.e. males) was more choosy.
Evolution of Animal Photoperiodism

AbstractPhotoperiodism is the ability of organisms to assess and use the day length as an anticipatory cue to time seasonal events in their life histories. Photoperiodism is especially important in initiating physiological and developmental processes that are typically irrevocable and that culminate at a future time or at a distant place; the further away in space or time, the more likely a seasonal event is initiated by photoperiod. The pervasiveness of photoperiodism across broad taxa, from rotifers to rodents, and the predictable changes of photoperiodic response with geography identify it as a central component of fitness in temperate and polar seasonal environments. Consequently, the role of day length cannot be disregarded when evaluating the mechanisms underlying life-historical events, range expansions, invasions of novel species, and response to climate change among animals in the temperate and polar regions of the world.
Evaluation of Some Plant Molluscicides Against a Freshwater Snail Lymnaea luteola, the Vector of Animal Schistosomiasis

The extracts of plant species including Sapindus trifoliatus, Acacia concinna, Madhuca indica and Phytolacca acinosa were evaluated for their molluscicidal properties against the freshwater snail Lymnaea luteola, a vector of animal schistosomiasis. The methanol extracts of the seeds were tested against adults and the results showed S. trifoliatus as the most toxic, followed by M. indica, P. acinosa and A. concinna. Hence, the N -butanol extract of S. trifoliatus was tested against both adults as well as eggs of L. luteola. The results indicated that the N -butanol extract was more toxic than the methanol extract and the eggs were more susceptible than adults.
Online Spatio-Temporal Learning in Deep Neural Networks

Biological neural networks are equipped with an inherent capability to continuously adapt through online learning. This aspect remains in stark contrast to learning with error backpropagation through time (BPTT) that involves offline computation of the gradients due to the need to unroll the network through time. Here, we present an alternative online learning algorithm ic framework for deep recurrent neural networks (RNNs) and spiking neural networks (SNNs), called online spatio-temporal learning (OSTL). It is based on insights from biology and proposes the clear separation of spatial and temporal gradient components. For shallow SNNs, OSTL is gradient equivalent to BPTT enabling for the first time online training of SNNs with BPTT-equivalent gradients. In addition, the proposed formulation unveils a class of SNN architectures trainable online at low time complexity. Moreover, we extend OSTL to a generic form, applicable to a wide range of network architectures, including networks comprising long short-term memory (LSTM) and gated recurrent units (GRUs). We demonstrate the operation of our algorithm ic framework on various tasks from language modeling to speech recognition and obtain results on par with the BPTT baselines.