Miracle-dz/UniFAR-FTUs huggingface dataset:
Simulating heart rate kinetics during incremental and interval training

Summary Study aim: To apply a recently proposed dynamical systems model to simulate, for the first time, the heart rate (HR) response to exercise of time-dependent intensity. Material and methods: The applied model is expressed in the form of two coupled ordinary differential equations, one giving the rate of change of HR and the other providing the time dependency of exercise intensity. According to the model, the HR is assumed to depend on time, velocity, lactate accumulation and the subject’s overall cardiovascular condition. For the purposes of the present work, training sessions were simulated, consisting of exponentially and step-wise increasing intensities, as well as interval training. Results: Training sessions of exponentially and step-wise increasing velocity, as well as an interval training session, have been simulated. Successful simulations of the corresponding HR response were achieved. Conclusions: The present work successfully demonstrates the model’s excellent performance in simulating the HR response to exercises of time-dependent intensity. The applied model has been shown to correctly simulate the heart rate response also during exercises of complicated intensity patterns, such as the interval training session. The study confirms the ability of the implemented mathematical model not only to simulate and predict heart rate kinetics for any given exercise intensities but also to provide important information regarding an individual’s cardiovascular condition. This is of vast importance, not only in the area of fitness and sport, where it can serve as a fundamental tool for the design of efficient training sessions, but also in the areas of cardiovascular health, prediction and rehabilitation.
Empirical Study of Bagging Predictors on Medical Data

This study investigates the performance of bagging in terms of learning from imbalanced medical data. It is important for data miners to achieve highly accurate prediction models, and this is especially true for imbalanced medical applications. In these situations, practitioners are more interested in the minority class than the majority class; however, it is hard for a traditional supervised learning algorithm to achieve a highly accurate prediction on the minority class, even though it might achieve better results according to the most commonly used evaluation metric, Accuracy. Bagging is a simple yet effective ensemble method which has been applied to many real-world applications. However, some questions have not been well answered, e.g., whether bagging outperforms single learners on medical data-sets; which learners are the best predictors for each medical data-set; and what is the best predictive performance achievable for each medical data-set when we apply sampling techniques. We perform an extensive empirical study on the performance of 12 learning algorithms on 8 medical data-sets based on four performance measures: True Positive Rate (TPR), True Negative Rate (TNR), Geometric Mean (G-mean) of the accuracy rate of the majority class and the minority class, and Accuracy as evaluation metrics. In addition, the statistical analyses performed instil confidence in the validity of the conclusions of this research.
Stratégies d'apprentissage et réussite en anglais langue seconde chez des élèves de 5e secondaire : Vers une validation de la typologie d'o'malley et chamot

Cette etude permet une premiere validation des strategies issues de la typologie suggeree par O'Malley et Chamot. Dans le domaine des langues secondes, peu de chercheurs ont propose des strategies coherentes par rapport a un modele d'apprentissage. La taxonomie d'O'Malley et Chamot a ete choisie dans le but d'elaborer un questionnaire d'evaluation de strategies et de chercher a en valider les composantes. 310 eleves de 5 e secondaire, aupres desquels diverses mesures de competence ont ete colligees, ont rempli le questionnaire. Les resultats des analyses factorielles indiquent la presence de la plupart des regroupements de strategies a l'interieur des categories etudiees: metacognitive, cognitive et socioaffective. Les correlations entre les facteurs identifies et les mesures de competence sont revelatrices des strategies distinguant le bon du moins bon apprenant. Des liens negatifs suggerent que la dimension socioaffective ne constituerait pas, en soi, un volet des strategies, mais la manifestation des difficultes qu'eprouvent certains apprenants.
On the Effects of Time Variability in Iris Recognition

In this paper, we evaluate the effects of time separation between acquisitions in iris recognition. We use for our experiments a publicly available iris recognition system and the BiosecurID database, containing 8128 iris images of 254 individuals acquired in four acquisition sessions, separated by one to four weeks between consecutive sessions. Reported results show that time separation between iris samples under comparison has severe impact on the recognition rates. An important degradation on the false rejection rate is observed, meaning that the intra-class variability is increased. All images in our database have been acquired under similar controlled conditions and with the same sensor.
Caffeinated Alcohol Use in a Daily Context

CAFFEINATED ALCOHOL USE IN A DAILY CONTEXT Ashley N. Carmichael Old Dominion University, 2016 Director: Dr. Cathy Lau-Barraco Caffeinated alcoholic beverage (CAB) use is associated with a range of substance-related problems. Few have examined socio-environmental and cognitive factors that may relate to CAB use and influence associations between use and negative consequences. Moreover, much research on CABs has been based on cross-sectional and retrospective reports, which can be subject to recall biases. The current research aimed to address the gaps in our understanding of use patterns by conducting a daily diary study. Participants were 122 (73.8% women) heavy drinking, college student CAB users. Mean age was 20.39 (SD = 2.08) years. Students completed a baseline questionnaire and up to 14 consecutive, daily surveys about last night’s drinking behavior. Multilevel modeling results indicated that CAB days were linked with greater odds of drinking at a bar/club, pre-gaming behavior, and drinking around others. CAB days were associated with greater likelihood of experiencing an alcohol-related harm, beyond the amount of alcohol consumed and trait impulsivity. This study was the first to examine CAB use patterns in a within-subjects, longitudinal daily diary design. CABs appear to be consumed socially and in potentially risky contexts. Importantly, use of CABs is related to greater odds of experiencing negative consequences. Future research investigating use patterns may benefit from more fine-grained approaches to develop efficacious prevention and intervention efforts geared toward reducing CAB-related risks.
A sliding mode PID-controller design for robot manipulators

A robust sliding mode PID-controller is proposed to control a robot manipulator with parameter variations and external disturbances. The work corroborates the utility of a certain sliding mode controller with PID sliding function for tracking control of a robot manipulator. The proposed method is used to take into account the unknown but bounded parameter uncertainties and external disturbances. The stability is demonstrated by Lyapunov theory. The performance of the closed-loop system is visualized through simulation. The input chattering phenomenon is handled by using boundary layer technique.
The Implementation of Holistic Integrative Services in Early Childhood Education (ECE): Perspective on 2013 ECE Curriculum in Indonesian Preschool

The problem in this research is the lack of early childhood education (ECE) institutions that integrate education with the needs of healthcare, nutrition, education and parenting for young children as mandated by Presidential Decree Number 60 Year 2013 on Integrative Holistic early childhood services. On the other hand, the implementation of 2013 ECE Curriculum has been mandated in Permendikbud number 146 of 2014, including a set of integrative holistic early childhood institutions, despite the fact that there are still many early childhood institutions that are not yet ready to implement them. The aim of this study was to determine the model of holistic integrative ECE services in compliance to 2013 ECE Curriculum of Taman Belia on 2013, as it is a flagship early childhood institutions in Central Java Province with the curriculum implemented. This study was held in Taman Belia, focusing the research in the development program of Integrative Holistic services in 2013 early childhood curriculum on group A with age ranging 4-5 years old. Type of research method used was qualitative research using case study approach. Data analysis was using interactive data analysis Miles and Huberman through three stages, namely; data collection, data verification, and conclusion. Data was collected by observation, interview and document analysis. The results showed that Service Implementation of Integrative Holistic ECE in compliance to 2013 curriculum in Taman Belia meets the following components: Educational aspect consisting of stimulation of child development using centres model and the diversity of educational services under one roof. Nutrition and Health Aspect consists of health check-ups and healthy food program. Sustenance Aspect consists of sustainable caretake in child centres, and parenting program at home. Protection Aspect consists of physical and mental protection for the children. Conclusion taken from the research is that holistic integrative model of educational services in accordance to ECE 2013 curriculum in Indonesian ECE centres includes educational services, nutritional services, physical and psychological preservation for the children, followed with continuous nurturance both at school and at home. This is based on the research held in one of the top ECE centres in Indonesia.
ON GRAPHS OF RAMSEY TYPE

mean that if the edges of F are colored red and blue (say) in any fashion, then either the red subgraph of F contains a copy of G or the blue subgraph contains H. Write F-G for F } (G,G). A natural question to consider is that of characterizing those F for which F 3 (G,H) for a given G and H. This question is in general extremely difficult, although in a later section we will answer it in a few special cases. In general we will here discuss simpler questions of what properties such graphs can have. One result of the type sought is already known. Folkman [1] proved the remarkable fact that there exists an F having clique number max(m,n) for which F } (K m K n). Nesetfíl and Rödl [2] have extended ' this to more than two colors. In another direction, [3] considers for certain G and H the question of how few edges F can have, given that F ; (G,H). We will consider here two major questions : Given that F } (G,H), what can be said about the chromatic number X(F), and given that F i (K m K n), what can be said about the minimum and maximum degree of F? To make certain questions meaningful, it is necessary to require that F be minimal for the given Ramsey property ; that is, that F lose the property upon removal of any edge .
PITCH SHIFTING OF AUDIO SIGNALS USING THE CONSTANT-Q TRANSFORM

Pitch-scale modifications of polyphonic music are usually performed by manipulating the time-frequency representation of the input signal. Most approaches proposed in the past are thereby based on the Fourier transform although its linear frequency bin spacing is known to be inadequate to some degree for analysing and processing music signals. Recently invertible constant-Q transforms (CQT) featuring high Q-factors have been proposed exhibiting a more suitable geometrical bin spacing. In this paper a frequency domain pitch-shifting approach based on the CQT is proposed. The CQT is specifically attractive for pitch-shifting because it can be implemented by frequency translation (shifting partials along the frequency axis) as opposed to spectral stretching in the Fourier transform domain. Furthermore, the high time resolution of CQT at high frequencies improves transient preservation. Audio examples are provided to illustrate the results achieved with the proposed method.
The physiological regulation of glucose flux into muscle in vivo

Summary Skeletal muscle glucose uptake increases dramatically in response to physical exercise. Moreover, skeletal muscle comprises the vast majority of insulin-sensitive tissue and is a site of dysregulation in the insulin-resistant state. The biochemical and histological composition of the muscle is well defined in a variety of species. However, the functional consequences of muscle biochemical and histological adaptations to physiological and pathophysiological conditions are not well understood. The physiological regulation of muscle glucose uptake is complex. Sites involved in the regulation of muscle glucose uptake are defined by a three-step process consisting of: (1) delivery of glucose to muscle, (2) transport of glucose into the muscle by GLUT4 and (3) phosphorylation of glucose within the muscle by a hexokinase (HK). Muscle blood flow, capillary recruitment and extracellular matrix characteristics determine glucose movement from the blood to the interstitium. Plasma membrane GLUT4 content determines glucose transport into the cell. Muscle HK activity, cellular HK compartmentalization and the concentration of the HK inhibitor glucose 6-phosphate determine the capacity to phosphorylate glucose. Phosphorylation of glucose is irreversible in muscle; therefore, with this reaction, glucose is trapped and the uptake process is complete. Emphasis has been placed on the role of the glucose transport step for glucose influx into muscle with the past assertion that membrane transport is rate limiting. More recent research definitively shows that the distributed control paradigm more accurately defines the regulation of muscle glucose uptake as each of the three steps that define this process are important sites of flux control.
Social Effects of Robot Therapy in a Care House - Change of Social Network of the Residents for Two Months

Robot therapy for elderly residents in a care house has been conducted since June 2005. Two therapeutic seal robots were introduced and activated for over 9 hours every day to interact with the residents. This paper presents a progress report of this experiment. In order to investigate the psychological and social effects of the robots, each subject was interviewed by using the free pile sort method, and their subjective social network was analysed. In addition, the activities of the residents in public areas were recorded by video cameras during daytime hours (8:30-18:00) for over 2 months. Then, their social network was analysed from the video data objectively. The results showed that the density of the social networks was increased through interaction with the robots subjectively and objectively.
Comparison of forward Vs. feedback Kalman filter for aided inertial navigation system

An autonomous underwater vehicle (AUV) can employ the inertial navigation system (INS) to determine its position. The measurement from the INS, which utilizes the accelerometers and gyroscopes, deteriorates with time due to the accumulation of errors in the sensors. To reduce the error growth in the INS, an external aiding source such as the DGPS or the differential GLONASS can be utilized. The loosely coupled system approach is usually implemented in integrating the information from the aiding source and the INS. The two main architectures in the loosely coupled systems are the forward Kalman filter (FKF) and the direct feedback Kalman (DKF) filters. In this paper we explore the possibility of using these techniques for an aided INS in the AUV application. The advantages and the disadvantages of using the FKF and the DKF are also discussed.
Forecasting Euro‐Area Macroeconomic Variables Using a Factor Model Approach for Backdating

type="main" xml:id="obes12053-abs-0001"> We suggest to use a factor model based backdating procedure to construct historical Euro-area macroeconomic time series data for the pre-Euro period. We argue that this is a useful alternative to standard contemporaneous aggregation methods. The article investigates for a number of Euro-area variables whether forecasts based on the factor-backdated data are more precise than those obtained with standard area-wide data. A recursive pseudo-out-of-sample forecasting experiment using quarterly data is conducted. Our results suggest that some key variables (e.g. real GDP, inflation and long-term interest rate) can indeed be forecasted more precisely with the factor-backdated data.
MFM: Multiple Forward Model Architecture for Sequence Processing

A multiple forward model (MFM) architecture is proposed for sequence identi cation, learning and production. MFM is inspired by Wolpert and Kawato's [ 1998 ] multiple paired forward and inverse models architecture for motor control. In particular, learning of sequencespeci c modules and switching among multiple sequences are demonstrated. Appropriate sequence modules are chosen and maintained on the basis of feed-forward prediction errors and softmax responsibility estimation. Simulations are conducted in order to reproduce the ndings from Tanji and Shima's [ 1994 ] sequence experiments on monkeys. Simulations demonstrate that the network is capable of learning four simple three-step sequences in a supervised fashion initially using external cues and eventually reproducing them without external cues as in the monkey experiments. Preliminary hypotheses are made about how various components of the network mimic the overall function of the cortex and the basal ganglia in mammals. Finally, general implications of this architecture for hierarchical sequence processing are discussed.
Brain edema and protein expression of c-Fos and c-Jun in the brain after diffused brain injury.

OBJECTIVE To investigate brain edema and protein expression of c-Fos and c-Jun in brain after diffuse brain injury, and to investigate the pathological change after brain injury, which may provide evidence for the clinical treatment of diffused brain injury. METHODS Marmarou method was used to establish the diffuse brain injury in rats. RESULTS After diffused brain injury, brain water content increased at 1 h, reached the peak at 1 d and remained at a high level at 7 d when compared with control group. One day after injury, diffuse subarachnoid hemorrhage was observed in the brain. HE staining showed vascular swelling and bleeding at the cortex and corpus callosum at 1 d. β-APP expression was found at the brainstem, hippocampus, thalamus, corpus callosum and periventricular regions. Pathological examination of ultrathin sections showed evidence edema and fracture of axons at 3 d after brain injury. The brain injury caused severe cerebral ischemia. The c-Fos and c-Jun expression increased at 1 h. The c-Fos expression peaked at 3 h (P < 0.05), then reduced, reached a maximal level again at 3 d (P < 0.05), and reduced significantly at 7 d but remained at a higher level when compared with control group (P < 0.05). The number of c-Jun positive cells peaked at 6 h (P < 0.05), then reduced, reached a maximal level again at 3 d and reduced markedly but still remained at a higher level when compared with control group (P < 0.05). CONCLUSION After diffuse brain injury, brain water content and c-Fos/c-Jun expression change over time.
The Association between the Levels of Serum Ferritin and Sex Hormones in a Large Scale of Chinese Male Population

Background The ferritin is an important participant of iron-storage but its regulation and related factors were not well defined. The present objective was to explore the potential association between serum ferritin levels and sex hormones. Methods 1999 Chinese men in the Fangchenggang Area Male Health and Examination Survey (FAMHES) were recruited in this cross-sectional study. Levels of serum ferritin, total testosterone (free testosterone was calculated from the total one), estradiol and sex hormone-binding protein were detected in venous blood samples. The effects of age, BMI, smoking as well as alcohol consumption were analyzed on ferritin levels, respectively, and then the Pearson’s correlation analysis was used to evaluate the association between ferritin levels and sex hormones adjusting for the above factors. Results The age, BMI and alcohol consumption significantly affected serum ferritin levels, but there was no significant difference between smokers and nonsmokers. Ferritin levels were significantly and negatively associated with total testosterone (R = −0.205, P< 0.001), sex hormone-binding protein (R = −0.161, P<0.001) and free testosterone (R = −0.097, P<0.001). After age and alcohol consumption were adjusted, the above associations were still significant (R = −0.200, −0.181 and −0.083, respectively, all P<0.001). However, there was only borderline negative association between ferritin levels and estradiol (adjusted R = −0.039, P = 0.083). Conclusion The large scale of epidemic results showed the significantly negative associations between serum ferritin levels and sex hormones, which may provide more clues to explore the potential regulation and biological mechanism of ferritin.
Study on Logistics Center Location Judgment Based on Artificial Neural Network

Logistics Center location influenced by various indictors is crucial to logistics planning. According to 21 evaluation index, this paper established the reliable artificial neural network mode and made decision research on logistics center location. The result of the example showed that compared with multi-class fuzzy comprehensive evaluation, artificial neural network model possesses the characteristics such as quantity analysis and accuracy etc, and is suitable for logistics center location.
On the responses of social networks' to external events

The paper reviews and complements the knowledge on the social network responses to brief duration events such as earthquakes, attacks, and aviation crashes. The main question asked are (i) if the number of posts related to such events is a credible source of information for assessing the number of people affected, and (ii) if the early information obtained from the momentary number of posts can be used to derive the further dynamics of the response of the social network to the event. Limits of the use of social networks responses for the above purposes are emphasized.
Correlation between Lexical and Determination Types

The Paper presents a corpus based study of L¨obner’s theory of determination types. According to L¨obner, nouns prefer a syntactic determination mode that is congruent to their inherent type of lexical determination. The study applies machine learning meth-ods to a large corpus of German texts for detecting the determination modes of nouns automatically and addresses the problem of inducing the lexical determination type of a noun from its distributional ﬁngerprint of occurrences in different determination modes