Miracle-dz/UniFAR-FTUs huggingface dataset:
Performance analysis of ELM-PSO architectures for modelling surface roughness and power consumption in CNC turning operation

The turning operation in the Computer Numerical Control (CNC) needs optimal machining parameters to achieve higher machining efficiency. The selection of machining parameters is very important to find the best performances in machining process. In this study, two different architectures of particle swarm optimization based extreme learning machine were analyzed for modelling inputs parameters: feed rate, cutting speed and depth of cut to output parameters: surface roughness and power consumption. The data were collected from 15 experiments using carbon steel AISI 1045 which were separated into training and testing dataset. Our experimental results shows that Architecture II is the most outstanding model with mean absolute percentage error (MAPE) of 0.0469 for predicting the training data and 0.204 for predicting the testing data.
Origins and source of emotion as factors that modulate the scope of attention

The processes of visual attention and stimulus detection are a key stage of perception. In the presented studies we tested the role of the genesis (automatic vs. reflective) and source (internal vs. external stimuli) of emotions in the detection of new stimuli (close to or distant from the fixation point). We expected (1) a narrowing of the field of attention in the case of automatic emotion elicitation or internal sources of emotion; (2) an extension of attention field in the case of reflective processes or external sources of emotion. In Study 1 ( N = 90) we used explicit presentation of sentences eliciting emotions. In Study 2 ( N = 60) we used degraded presentation (32 ms + masking) of words charged with affect. The hypotheses were partly confirmed by the data collected. We found that in the case of eliciting emotions with automatic origin or internal source detection times were significantly shorter for stimuli occurring close to the fixation point. In the case of reflective emotion eliciting condition and external emotion source, no significant differences were observed in reaction times between stimuli close to and distant from the fixation point.
Detecting Determinism in Time Series with Ordinal Patterns: a Comparative Study

Detecting determinism in univariate and multivariate time series is difficult if the underlying process is nonlinear, and the noise level is high. In a previous paper, the authors proposed a method based on observable ordinal patterns. This method exploits the robustness of admissible ordinal patterns against observational noise, and the super-exponential growth of forbidden ordinal patterns with the length of the patterns. The new method compared favorably to the Brock–Dechert–Scheinkman independence test when applied to time series projected from the Henon attractor and contaminated with Gaussian noise of different variances. In this paper, we extend this comparison to higher fractal dimensions by using noisy orbits on the attractors of the Lorenz map, and the time-delayed Henon map. Finally, we make an analysis that enlightens the robustness of admissible ordinal patterns in the presence of observational noise.
Cancer Risk of Anti-TNF-α at Recommended Doses in Adult Rheumatoid Arthritis: A Meta-Analysis with Intention to Treat and per Protocol Analyses

Background The risk of malignancies on TNF-α antagonists is controversial. The aim of this survey was to assess cancer risk on TNF-α antagonists in adult rheumatoid arthritis patients, including the five marketed drugs (infliximab, etanercept, adalimumab, golimumab and certolizumab) used in line with the New Drug Application. Furthermore, the relative interest of modified intention to treat or per protocol analyses to assess such sparse events remains unknown. Methodology/Principal Findings Data sources were MEDLINE, CENTRAL, ISI Web of Science, ACR and EULAR meeting abstracts, scientific evaluation of the drugs leading to their marketing approval, and clinicaltrials.gov, until 31 December 2012.We selected double-blind randomized controlled trials in adult rheumatoid arthritis patients, including at least one treatment arm in line with New Drug Application. We performed random effect meta-analysis, with modified intention to treat and per protocol analyses. Thirty-three trials were included. There was no excess risk of malignancies on anti-TNF-α administered in line with New Drug Application in the per protocol model (OR, 0.93 95%CI[0.59–1.44]), as well as in the modified intention to treat model (OR, 1.27 95%CI[0.82–1.98]). There was a non-significant tendency for an excess non-melanoma skin cancer risk in both models (respectively, 1.37 [0.71–2.66] and 1.90 [0.98–3.67]). With fixed effect Peto model restricting to trials during at least 52 weeks, the overall cancer risk was respectively 1.60 [0.97–2.64] and 1.22 [0.72–2.08]. Whatever the model, modified intention to treat analysis led to higher estimations than per protocol analysis. The later may underestimate the treatment effect when assessing very sparse events and when many patients dropped out in placebo arms. In metaregression, there was no differential risk among the five drugs. Conclusions/Significance This study did not find any evidence for an excess cancer risk on TNF-α antagonists in adult rheumatoid arthritis patients, but an excess cancer risk after several years of exposure cannot be ruled out. Both modified intention to treat and per protocol analyses should be presented in such safety analyses.
PinchPad: performance of touch-based gestures while grasping devices

This paper focuses on combining front and back device interaction on grasped devices, using touch-based gestures. We designed generic interactions for discrete, continuous, and combined gesture commands that are executed without hand-eye control because the performing fingers are hidden behind a grasped device. We designed the interactions in such a way that the thumb can always be used as a proprioceptive reference for guiding finger movements, applying embodied knowledge about body structure. In a user study, we tested these touch-based interactions for their performance and users' task-load perception. We combined two iPads together back-to-back to form a double-sided touch screen device: the PinchPad. We discuss the main errors that led to a decrease in accuracy, identify stable features that reduce the error rate, and discuss the role of 'body schema' in designing gesture-based interactions where the user cannot see their hands properly.
Collaborative Object Caching for Heterogeneous OSD Clusters

Cells such as genetically modified cells, e.g., hybridoma, which secrete an antigenic substance are encapsulated within capsule membranes having pores of dimensions sufficient to permit efflux of the antigens secreted by the cells but insufficient to permit traverse of the cells. The capsules are injected into an experimental animal where antigen passing through the pores of the capsule membrane induces lymphocytes to produce antibodies complementary to the antigen. The antibody may be harvested from the circulatory system of the animal. Preferably, lymphocytes are sampled from, e.g., the spleen of the animal, fused with a malignant cell line to produce a hybridoma which synthesizes the antibody in vivo, and the hybridoma is cultured to produce large quantities of monoclonal antibody.
Quantiiable Data Mining Using Principal Component Analysis

Association Rule Mining algorithms operate on a data matrix (e.g., customers products) to derive rules 2, 22]. We propose a single-pass algorithm for mining linear rules in such a matrix based on Principal Component Analysis. PCA detects correlated columns of the matrix, which correspond to, e.g., products that sell together. The rst contribution of this work is that we propose to quantify the \goodness" of a set of discovered rules. We deene the \guessing error": the root-mean-square error of the reconstructed values of the cells of the given matrix, when we pretend that they are unknown. The second contribution is a novel method to guess missing/hidden values from the linear rules that our method derives. For example, if somebody bought $10 of milk and $3 of bread, our rules can \guess" the amount spent on, say, butter. Thus, we can perform a variety of important tasks such as forecasting, `what-if' scenarios, outlier detection, and visualization. Moreover, we show that we can compute the principal components with a single pass over the dataset. Experiments on real datasets (e.g., NBA statistics) demonstrate that the proposed method consistently achieves a \guessing error" of up to 5 times lower than the straightforward competitor.
Experimental investigation of the energy consumption for wireless sensor network with centralized data collection scheme

Energy consumption minimization onWSN (wireless sensors network) is an open challenge. WSN is typically composed by an elevated number of battery powered devices that cooperate to forward data to a rendezvous point. In order to maximize network lifetime many protocols implement sleeps policy and try to reduce devices idle times. Unfortunately a trade off between energy requirements and data delivery delays exist and have to be carefully considered during communication protocol developments. In fact when the attention is moved to network implementation aspects, hardware's details became extremely important. The exact knowledge of device energy requirements during normal protocol operations is essential in order to optimize the energy saving strategies. With this conviction in mind, this work characterize through a campaign of measures the energy requirements of a sensor network based on EyesIFXv2.0 sensor nodes. In order to obtain a generalizable result, we have focused our attention on a simple centralized scheme and we have investigated traffic influences on the devices mean energy consumptions. Two important aspects of WSN has considered: Firstly we focused our attention on delay introduced by collision avoidance mechanism on data collections into a geographic area. Secondly we moved our interest on devices power consumption requirements under different network traffic conditions.
Macromodeling of microwave structures based on noisy frequency-domain data

Frequency-domain macromodeling tools are of paramount importance for the design and study of microwave structures. In this paper, a reliable identification method, called orthormal vector fitting method, is combined with a relaxation constraint. This leads to more accurate fitting models, in a limited amount of computation time, especially if the spectral data is contaminated with noise. Its performance is analyzed on a measurement-based example and compared to other existing approaches in the field.
Rethinking the role of fat oxidation: substrate utilisation during high-intensity interval training in well-trained and recreationally trained runners

Background Although carbohydrate is the predominant fuel source supporting high-intensity exercise workloads, the role of fat oxidation, and the degree to which it may be altered by training status, is less certain. Methods We compared substrate oxidation rates, using indirect calorimetry, during a high-intensity interval training (HIT) session in well-trained (WT) and recreationally trained (RT) runners. Following preliminary testing, 9 WT (VO2max 71±5 mL/min/kg) and 9 RT (VO2max 55±5 mL/min/kg) male runners performed a self-paced HIT sequence consisting of six, 4 min work bouts separated by 2 min recovery periods on a motorised treadmill set at a 5% gradient. Results WT and RT runners performed the HIT session with the same perceived effort (rating of perceived exertion (RPE) =18.3±0.7 vs 18.2±1.1, respectively), blood lactate (6.4±2.1 vs 6.2±2.5 mmol/L) and estimated carbohydrate oxidation rates (4.2±0.29 vs 4.4±0.45 g/min; effect size (ES) 90% confidence limits (CL)=−0.19±0.85). Fat oxidation (0.64±0.13 vs 0.22±0.16 g/min for WT and RT, respectively) accounted for 33±6% of the total energy expenditure in WT vs 16±6% in RT most likely very large difference in fat oxidation (ES 90% CL=1.74±0.83) runners. Higher rates of fat oxidation had a very large correlation with VO2max (r=0.86; 90% CI (0.7 to 0.94). Conclusions Despite similar RPE, blood lactate and carbohydrate oxidation rates, the better performance by the WT group was explained by their nearly threefold higher rates of fat oxidation at high intensity.
hp-HGS strategy for inverse AC/DC resistivity logging measurement simulations

In this paper, we present resistivity-logging-measurement simulation with the use of two types of borehole logging devices: those which operate with zero frequency (direct current, DC) and those with higher frequencies (alternate current, AC). We perform simulations of 3D resistivity measurements in devia- ted wells, with a sharp angle between the borehole and formation layers. We introduce a hierarchical adaptive genetic strategy hp HGS interfaced with an adaptive finite element method. We apply a strategy for the solution of the inverse problem, where we identify the resistivities of the formation layers ba- sed on a given measurement. We test the strategy on both direct and alternate current cases.
FINITE TEMPERATURE MOTT TRANSITION IN THE HUBBARD MODEL IN INFINITE DIMENSIONS

We study the second order finite temperature Mott transition point in the fully frustrated Hubbard model at half filling, within Dynamical Mean Field Theory. Using quantum Monte Carlo simulations we show the existence of a finite temperature second order critical point by explicitly demonstrating the existence of a divergent susceptibility as well as by finding coexistence in the low temperature phase. We determine the location of the finite temperature Mott critical point in the (U,T) plane. Our study verifies and quantifies a scenario for the Mott transition proposed in earlier studies (Reviews of Modern Physics 68, 13, 1996) of this problem.
Receptive fields of single neurones in the cat's striate cortex

In the central nervous system the visual pathway from retina to striate cortex provides an opportunity to observe and compare single unit responses at several distinct levels. Patterns of light stimuli most effective in influencing units at one level may no longer be the most effective at the next. From differences in responses at successive stages in the pathway one may hope to gain some understanding of the part each stage plays in visual perception. By shining small spots of light on the light-adapted cat retina Kuffler (1953) showed that ganglion cells have concentric receptive fields, with an 'on' centre and an 'off ' periphery, or vice versa. The 'on' and 'off' areas within a receptive field were found to be mutually antagonistic, and a spot restricted to the centre of the field was more effective than one covering the whole receptive field (Barlow, FitzHugh & Kuffler, 1957). In the freely moving lightadapted cat it was found that the great majority of cortical cells studied gave little or no response to light stimuli covering most of the animal's visual field, whereas small spots shone in a restricted retinal region often evoked brisk responses (Hubel, 1959). A moving spot of light often produced stronger responses than a stationary one, and sometimes a moving spot gave more activation for one direction than for the opposite. The present investigation, made in acute preparations, includes a study of receptive fields of cells in the cat's striate cortex. Receptive fields of the cells considered in this paper were divided into separate excitatory and inhibitory ('on' and 'off') areas. In this respect they resembled retinal ganglion-cell receptive fields. However, the shape and arrangement of excitatory and inhibitory areas differed strikingly from the concentric pattern found in retinal ganglion cells. An attempt was made to correlate responses to moving stimuli
Simulation metamodeling in the presence of model inadequacy

A simulation model is often used as a proxy for the real system of interest in a decision-making process. However, no simulation model is totally representative of the reality. The impact of the model inadequacy on the prediction of system performance should be carefully assessed. We propose a new metamodeling approach to simultaneously characterize both the simulation model and its model inadequacy. Our approach utilizes both simulation outputs and real data to predict system performance, and accounts for four types of uncertainty that arise from the unknown performance measure of the simulation model, simulation errors, unknown model inadequacy, and observation errors of the real system, respectively. Numerical results show that the new approach provides more accurate predictions in general.
Force‐Velocity‐Length‐Time Relations of the Contractile Elements in Heart Muscle of the Cat

The instantaneous force-velocity-length relations of the contractile elements of the cat papillary muscle have been obtained by determining the phase-plane trajectories of velocity of shortening relative to length during isotonic contractions and correcting these measurements for the series elastic extension during the isometric phase of contraction. The load-extension curve of the series elastic component was obtained by quick release. The velocity-length relations for a given load were independent of initial muscle length and largely independent of the time after stimulation. Velocity-length traces at varying lengths diverged only late in contraction because of a fall in the intensity of the active state. Thus the surface created by the instantaneous force-velocity-length relations serves to define a given contractile state for the contractile element of heart muscle. Further, the linear length-tension relations observed for the contractile element permits an estimation of the maximum development of isometric force with the creation of truly hyperbolic force-velocity curves. Limitations of velocities obtained following quick releases have also been noted.
EVOLUTIONARY LEARNING: SIGNIFICANCE FOR BUSINESS ORGANIZATION AND STRATEGY

The purpose of this working paper is to provide a bridge between the literatures of evolutionary and organisational learning (Astley and Van de Van, 1983; Shrivastava, 1983; Huber 1991, Easteby-Smith 1997). Although there are substantial parallels between the two literatures, as yet, there is no adequate account of evolutionary aspects of organisational learning. This paper is divided into two sections, the first section examines various aspects of the evolutionary outlook. It includes a sketch of important concepts relevant to evolutionary learning (summarized in Table 1), it also outlines the application of these concepts in the literature on the evolution of organizations. The second section examines specific processes of evolutionary learning in organizations. The section begins with a summary of important concepts in evolutionary learning (Table 2). A discussion of applications of these concepts follows. At its root, processes of evolutionary learning are concerned with the adaptation of populations of entities in dynamic environments, where the environment impacts on and is impacted by the entities. In essence, entities are attempting to appropriate resources or ‘earn a living’ in their environment. The domain of corporate strategy shares many of these features. Given an environment of rapid technological change and intense competition, firms continuously seek sustainable sources of competitive advantage: core competencies and dynamic capabilities. The ability to learn and adapt is a key feature in this quest, how can these faculties be built into organizational processes and behaviour? The answer that they must be built into organizational routines and architectures (Dosi, Nelson, and Winter, 2000) is not convincing: they are equally capable of stifling the development of the new. In fact a paradox exists. In a dyanamic environment, adapative capabilities are prized. However, the market-selection process tends to favor organizations whose structures (strategies) are difficult to change (Hannan and Freeman, 1984). The routines required to produce a good reliably, tend to lead to structural and strategic inertia, as the construction of routines to achieve this leads to an increase in the complexity of the patterns of links between organizational (Hannan and Freeman, 1984; Levinthal, 1991b). As organizations seek better environment-structure congruence, their systems become increasingly specialized and interlinked, making changes to their activities become costly and difficult. Adopting a populational unit of analysis, evolutionary learning can be considered to stem from the birth and death of companies, as it does from adaptation within companies. This possibility focusses the mind on the extent to which learning is driven by forces external to the organization and how far internal mechanisms can be created that enable self adaptation to take place.
Operation of a Grid-Connected Lithium-Ion Battery Energy Storage System for Primary Frequency Regulation: A Battery Lifetime Perspective

Because of their characteristics, which have been continuously improved during the last years, Lithium-ion batteries have been proposed as an alternative viable solution to present fast-reacting conventional generating units to deliver the primary frequency regulation service. However, even though there are worldwide demonstration projects, where energy storage systems based on Lithium-ion batteries are evaluated for such applications, the field experience is still very limited. In consequence, at present, there are no very clear requirements on how the Lithium-ion battery energy storage systems should be operated, while providing frequency regulation service and how the system has to reestablish its state of charge (SOC) once the frequency event has passed. Therefore, this paper aims to investigate the effect on the lifetime of the Lithium-ion batteries energy storage system of various strategies for reestablishing the batteries’ SOC after the primary frequency regulation is successfully delivered.
Health status among emergency department patients approximately one year after consecutive disasters in New York City.

OBJECTIVES Emergency department (ED) patients with disaster-related experiences may present with vague symptoms not clearly linked to the event. In 2001, two disasters in New York City, the World Trade Center disaster (WTCD) and the subsequent American Airlines Flight 587 crash, presented an opportunity to study long-term consequences of cumulative disaster exposure (CDE) on health-related quality of life (HRQOL) among ED patients. METHODS From July 15 to October 30, 2002, a systematic sample of stable, adult patients from two EDs in New York City were enrolled. Participants completed a self-administered questionnaire. The Short Form 36 (SF-36) was used to assess overall health status. Bivariate analyses were conducted to identify individual correlates of worsening health status. Multivariate regression was performed to identify the association between various factors and overall health status, while controlling for relevant sociodemographic variables. RESULTS Four hundred seventy-one patients (54.6% female) participated. The participation rate was 73.4%. One hundred sixty-one participants (36%) reported direct, indirect, or occupational exposure to the WTCD; 55 (13.3%) had direct, indirect, or occupational exposure to the plane crash; 33 (8.1%) had both exposures. In separate multivariate models, CDE predicted lower SF-36 scores for general health (p < 0.0096), mental health (p < 0.0033), and bodily pain (p < 0.0046). CONCLUSIONS In the year following mass traumatic events, persons with CDE had lower overall health status than those with one or no disaster exposure. Clinicians should consider the impact that traumatic events have on the overall health status of ED patients in the wake of consecutive disasters.