Miracle-dz/UniFAR-FTUs huggingface dataset:
Authors’ response to referees

The authors are grateful to both anonymous referees for their time devoted to this paper and the useful comments and suggestions, aiming at the improvement of the manuscript. All comments and recommendations of both referees were taken very seriously into consideration for the preparation of a revised version of the manuscript. Additional effort has been put to implement and incorporate suggestions in the manuscript to the best possible degree and prepare a revised version accounting for all comments of referees. In the following, we present our answers to the referees’ comments as well as the changes performed in the manuscript, and a marked-up version of the manuscript (with track changes) in the following order: A. Comments of referees A1. Comments of referee #1 A2. Comments of referee #2 B. Authors’ answers to the comments of referees B1. Authors’ answers to each comment of referee #1 B2. Authors’ answers to each comment of referee #2 C. Changes in the manuscript to account for comments of referees C1. Changes in the manuscript to account for comments of referee #1 C2. Changes in the manuscript to account for comments of referee #2 D. Marked-up manuscript version
Visualizing the Pattern for Hard Disk Media Yield Prediction

Summary In a hard disk media manufacturing, engineers rely on inspection machine to generate production yield temporal data that can be used for future analysis. To proactively perform process maintenance on the equipment in order to avoid unnecessary unplanned down time, they have to be able to predict the yield outcome before products arrive at the inspection machine. In this paper, we propose to predict the yield outcome by visualizing the historical data pattern generated from the inspection machine, transform the data pattern and trained it with machine learning algorithms. The trained visualized datasets can automatically generate a prediction model without the visual interpretation needs to be done by human. However, due to the nature of manufacturing process, majority class instances of the good yield are extremely outnumbers minority class instances of the bad yield. Comparison between the random under-sampling, oversampling, and SMOTE + VDM sampling technique indicate that the sampling combination of SMOTE + VDM and random undersampling dataset produced a robust classifier performance. Furthermore, the integration of K* entropy base similarity distance function with SMOTE, CNN+Tomek, and our novel SMOTE and SMaRT combination, extend the improvement of the classifiers F-Score robustness. Experimental results have indicated that the proposed approaches are viable to be applied to generate a predictive model, hence promoting the implementation of predictive maintenance in hard disk media industries.
Intraosseous access in opinion of medical faculty students

Background. The aim of this study was to collect students’ opinions on the available intraosseous techniques (IO) and sites of application in victims who were suffering from life-threatening conditions. Material and methods. We surveyed 239 third-year medical students (152 women and 87 men) at Poznan University of Medical Sciences in 2012 and 2013. The students answered a questionnaire after completing a course on various methods of IO on mannequins. Results. Medical students preferred EZ-IO and a tibia approach for IO placement. Anestezjologia i Ratownictwo 2014; 8: 140-143.
Fuzzy Anti-windup Schemes for NCTF Control of Point-to-point (PTP) Positioning Systems

The positioning systems generally need a controller to achieve high accuracy, fast response and robustness. In addition, ease of controller design and simplicity of controller structure are very important for practical application. For satisfying these requirements, NCTF (nominal characteristic trajectory following) controller has been proposed as a practical PTP positioning control. However, the effect of actuator saturation can not be completely compensated due to integrator windup because of plant parameter variations. This study presents a method to improve the NCTF controller for overcoming the problem of integrator windup by adopting fuzzy anti-windup schemes. Two fuzzy anti-windup schemes based on Mamdani and Takagi-Sugeno fuzzy system are developed and evaluated their effectiveness. The improved NCTF controller with the proposed fuzzy anti-windup schemes is evaluated through simulation using dynamic model of a rotary positioning system. The results show that the improved NCTF controller with Takagi-Sugeno-based fuzzy windup is the best scheme to compensate for the effect of integrator windup.
Sufficient optimality conditions and duality for nonsmooth multiobjective optimization problems via higher order strong convexity

In this paper, we define some new generalizations of strongly convex functions of order m for locally Lipschitz functions using Clarke subdifferential. Suitable examples illustrating the non emptiness of the newly defined classes of functions and their relationships with classical notions of pseudoconvexity and quasiconvexity are provided. These generalizations are then employed to establish sufficient optimality conditions for a nonsmooth multiobjective optimization problem involving support functions of compact convex sets. Furthermore, we formulate a mixed type dual model for the primal problem and establish weak and strong duality theorems using the notion of strict efficiency of order m. The results presented in this paper extend and unify several known results from the literature to a more general class of functions as well as optimization problems.
Patterns of commodity food use among American Indians.

Objectives: To better understand risks for obesity and diabetes among American Indians. Methods: Adults from tribes across the country surveyed to explore commodity food use patterns and food choice. Results: Respondents reported second and third generation commodity food use. Current commodity users stated preferences for canned and packaged meals and were more likely to participate in other federal food programs. Conclusions: Low-income, nutritionally stressed families relying on federal food programs may be at increased risk of obesity and diet-related chronic conditions due to long-term use of foods that are high in fat and calories and low in fiber.
Impedance description of coherent synchrotron radiation with account of bunch deformation

We are concerned with coherent longitudinal motion in a storage ring, especially with situations in which coherent synchrotron radiation (CSR) can in∞uence stability of the beam. The collective force from CSR is usually described by an impedance or a wake function in such a way that the force depends only on the charge distribution at the present time. This description is exact only for a rigid bunch, since causality demands that the force depend on the prior history of the bunch. We show how to treat a deforming bunch by applying the \complete impedance" Z(n;! ), a function of wave number and frequency. We derive this impedance and study its analytic properties for a special model: radiation from circular orbits shielded by parallel plates representing the metallic vacuum chamber. We analyze the corresponding collective force, obtaining the usual formula as a flrst approximation, plus easily computed corrections that depend on present and prior values of the time derivative of the charge density. In related papers we have applied these results in numerical simulations of instabilities induced by CSR. PACS numbers: Valid PACS appear here
Marine boundary layer cloud property retrievals from high-resolution ASTER observations: case studies and comparison with Terra MODIS

Abstract. A research-level retrieval algorithm for cloud optical and microphysical properties is developed for the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) aboard the Terra satellite. It is based on the operational MODIS algorithm. This paper documents the technical details of this algorithm and evaluates the retrievals for selected marine boundary layer cloud scenes through comparisons with the operational MODIS Data Collection 6 (C6) cloud product. The newly developed, ASTER-specific cloud masking algorithm is evaluated through comparison with an independent algorithm reported in [Zhao and Di Girolamo(2006)]. To validate and evaluate the cloud optical thickness (τ) and cloud effective radius (reff) from ASTER, the high-spatial-resolution ASTER observations are first aggregated to the same 1000 m resolution as MODIS. Subsequently, τaA and reff, aA retrieved from the aggregated ASTER radiances are compared with the collocated MODIS retrievals. For overcast pixels, the two data sets agree very well with Pearson's product-moment correlation coefficients of R > 0.970. However, for partially cloudy pixels there are significant differences between reff, aA and the MODIS results which can exceed 10 µm. Moreover, it is shown that the numerous delicate cloud structures in the example marine boundary layer scenes, resolved by the high-resolution ASTER retrievals, are smoothed by the MODIS observations. The overall good agreement between the research-level ASTER results and the operational MODIS C6 products proves the feasibility of MODIS-like retrievals from ASTER reflectance measurements and provides the basis for future studies concerning the scale dependency of satellite observations and three-dimensional radiative effects.
estadística y distribución espacial de las mujeres en edad reproductiva en el Ecuador

This project aims to analyze some of the characteristics of women in reproductive age, including the number of children they have had during their life, and to identify what are the main factors influencing the amount of children they have. The Chapter I, Background, shows generalities of Ecuadorian women in reproductive age, explaining the importance of studying them; I develop the project’s proposal detailing the problem, the theoretical framework explaining some concepts on demographic transition and fertility assumptions, objectives and methodology employed. In Chapter II, Characteristics of women in reproductive age, statistical, demographic and spatial analysis are performed for the most relevant variables for our target population. In Chapter III, Characteristics of subpopulations, statistical, demographic and spatial analysis are performed, for the same variables in Chapter II and applying it to each subpopulation: Indigenous women, Black women, Half-Breed women and White women, each one in reproductive age. In Chapter IV, Statistical Inference: Sampling and Application o Negative Binomial Regression model, techniques to calculate optimal sample size and generalized linear models are explained, to finally apply the negative binomial regression model using the variable number of children as the dependent variable and age, education, culture, marital status, occupation and living area as independent variables.
H2O line mapping at high spatial and spectral resolution - Herschel observations of the VLA 1623 outflow

Context. Apart from being an important coolant, water is known to be a tracer of high-velocity molecular gas. Recent models predict relatively high abundances behind interstellar shockwaves. The dynamical and physical conditions of the water emitting gas, however, are not fully understood yet. Using the Herschel Space Observatory, it is now possible to observe water emission from supersonic molecular outflows at high spectral and spatial resolution. Several molecular outflows from young stars are currently being observed as part of the WISH (Water In Star-forming regions with Herschel) key program. Aims. We aim to determine the abundance and distribution of water, its kinematics, and the physical conditions of the gas responsible for the water emission. The observed line profile shapes help us understand the dynamics in molecular outflows. Methods. We mapped the VLA1623 outflow, in the ground-state transitions of o-H2O, with the HIFI and PACS instruments. We also present observations of higher energy transitions of o-H2O and p-H2O obtained with HIFI and PACS towards selected outflow positions. From comparison with non-LTE radiative transfer calculations, we estimate the physical parameters of the water emitting regions. Results. The observed water emission line profiles vary over the mapped area. Spectral features and components, tracing gas in different excitation conditions, allow us to constrain the density and temperature of the gas. The water emission originates in a region where temperatures are comparable to that of the warm H-2 gas (T greater than or similar to 200 K). Thus, the water emission traces a gas component significantly warmer than the gas responsible for the low-J CO emission. The water column densities at the CO peak positions are low, i.e. N(H2O) similar or equal to (0.03-10) x 10(14) cm(-2). Conclusions. The water abundance with respect to H-2 in the extended outflow is estimated at X(H2O) < 1 x 10(-6), significantly lower than what would be expected from most recent shock models. The H2O emission traces a gas component moving at relatively high velocity compared to the low-J CO emitting gas. However, other dynamical quantities such as the momentum rate, energy, and mechanical luminosity are estimated to be the same, independent of the molecular tracer used, CO or H2O.
Towards detection of interest during movie scenes KIERKELS ,

In this paper a basic approach for the continuous detection of interest based on physiological signals is described and tested on data recorded during movie watching. Feature extraction, selection, and classification are used and an indicator f [t] for interest level is proposed. Using this indicator, interest changes can be detected, even within short movie scenes. No correlations are found between interest and the commonly used emotional parameters arousal and valence.
Prediction of driving conditions in winter

Driving conditions on winter roads are mainly determined by slipperiness and visibility that can hardly be predicted in advance. Here a non-parametric regression is used to map data from weather and environmental conditions forecasts into variables describing driving conditions. The visibility is here characterized by the concentration of particulate matter PM10 while the slipperiness is introduced as suggested by the research project SRIS (www.sris.nu). There the estimation of slipperiness is performed by expert drivers based upon signals from ABS and ESP sensors in a car and personal feelings during driving. In order to clone performance of an expert driver we developed an intelligent computer program that learns from a statistical data basis obtained by past joint observations of environmental and driving conditions to estimate the driving conditions in a new situation. During operation the computer obtains new data about the environment and compares them with the corresponding ones in the data base. Based upon their similarity, the associated past data are accounted in the prediction of new driving conditions. Prediction is performed nonparametrically by the conditional average estimator. Performance of the corresponding method is characterized by the correlation coefficient r between predicted and really observed data. We demonstrate the performance of the method by using slipperiness data from high-ways in Sweden and data about PM10 in the Po valley in Italy. Relatively high values of correlation coefficient (r~75%) indicate that the proposed method is applicable for prediction of hard winter driving conditions based upon weather forecasts.
Quantum Cohomology and Periods

In a previous paper, the author introduced a Z-structure in quantum cohomology defined by the K-theory and the Gamma class and showed that it is compatible with mirror symmetry for toric orbifolds. Applying the quantum Lefschetz principle to the previous results, we find an explicit relationship between solutions to the quantum differential equation for toric complete intersections and the periods (or oscillatory integrals) of their mirrors. We describe in detail the mirror isomorphism of variations of Z-Hodge structure for a mirror pair of Calabi-Yau hypersurfaces (Batyrev's mirror).
An assessment of the extent of Facebook use by Students at Kisii University, Kenya and its Implication on Educational Activities

The study purposed to assess the extent of Facebook use by fourth year Bachelor of Education students at Kisii University, Kenya and its implication on educational activit ies. Social networking sites allow users to establish networks with other users. This enables communication through platforms such as Facebook and Twitter among others. While these technologies have eased communication a number of problems abound such as d istraction of students from their studies. This was a case study in which fourth year Bachelor of Education students were sampled. The participants consisted of 300 Bachelor of Education students 2012/2013 academic year and 5 ICT officials. Stratified rand om sampling was used to select 86 males and 85 females to make a sample size of 171. The response rate was 83.6% with 143 respondents returning their fully filled up
The Knowledge of a Selected Group of Medical Students on Hyperbaric Oxygen Therapy

Abstract During the last decades, there has been a rapid development in the research and use of hyperbaric oxygen therapy (HBO), and modern medicine is increasingly taking advantage of its beneficial effects. The aim of the study was to check the level of knowledge of future doctors (medical students) on hyperbaric oxygen therapy. The survey was conducted among 240 students of the medical faculty (3rd and 5th year of study) of the Military and Medical Faculty of the Medical University of Lodz. The author’s questionnaire with forced-choice questions was used as research tool. The students’ knowledge of hyperbaric oxygen therapy was varied and in some cases was not dependent on the year of study. It was observed that students’ knowledge of the subject matter depends on the number of teaching hours allocated to it.
Predictive engagement and motor intentionality

In this paper we aim to show that motor intentionality, as the underlying ground for social cognition, can be explained through the predictive engagement model. Sensorimotor processes seem to play central roles in social interaction, cognition and language. We question the phenomenological role of the body in social cognition and further investigate a causal neural explanation. We will adopt a different perspective by linking the role of the body and intercorporeality with recent findings in philosophy of neuroscience under the predictive brain hypothesis. In fact, the living body seems to entertain a dialogical and enactive relationship with the surrounding context, as well as with neural circuits actively responding to external stimuli. The body is thus configured as a living organism, and not as a mere biological substratum, offering to phenomenology and empirical sciences further confirmations of the possibility-and need-for a cooperation.
Application Of Multivariate Statistical Methods To Surface Water And Groundwater Of The Soummam Basin, Algeria

Multivariate statistical methods, i.e., cluster analysis (CA), discriminant analysis (DA) and analysis of variance (ANOVA), were used to assess spatial variation in the water quality of the Soummam basin, Algeria. The application of hierarchical cluster analysis, based on all possible combinations of classification method, showed three main groups of samples. The group 1 samples are exclusively composed of surface water. Groups 2 and 3 samples are consisted of groundwater. Discriminant analysis (DA) was assigned about 98.6% of the cases grouped by CA. All groups are super-saturation with Ca-montmorillonite, dolomite, gibbsite, K-mica, kaolinite and quartz, and all these groups are under-saturation with albite, anhydrite, anorthite, CO2(g), gypsum, halite, melanterite and smithsonite. The ANOVA results indicate that the saturation indices of each of the mineral phases are significantly except chalcedony and quartz (p > 0.05).
Epigenetic Regulation of Signalling Pathways in Pancreatic Cancer

IV Resumo . V List of Tables . VIII List of Figures . IX Abbreviations . XI 1. CHAPTER 1 GENERAL INTRODUCTION . 2 1.1 Pancreatic Cancer . 2 1.2 Disease subtypes . 3 1.3 Therapeutic Strategies . 4 1.4 Molecular Pathogenesis of Pancreatic Cancer . 5 1.4. 1 Genetics of pancreatic ductal adenocarcinoma . 5 1.4. 2 Genetics of pancreatic neuroendocrine tumours . 6 1.5 Epigenetics . 7 1.5. 1 Histone Modifications . 8 1.5. 2 DNA methylation . 9 1.5. 3 MicroRNAs (miRNAs) . 10 1.6 Epigenetic Alterations in Pancreatic Cancer . 11 1.6. 1 Epigenetic therapy . 11 1.6. 2. Epigenetic alterations as potential biomarkers . 13 1.7 Objectives . 14 2. CHAPTER 2 METHODS . 16 2.1 Bioinformatic Resources . 16 2.1.1 Pancreatic Expression Database . 16 2.1.2 The Cancer Genome Atlas . 16 2.1.3 miRDB . 16 2.2 Gene Selection . 17 2.3 Epigenetic Alterations Analysis . 17 2.3.1 Data collection . 17 2.3. 2 Methylation analysis . 19 2.3. 3 miRNA expression analysis . 19 2.3. 4 Clinical data analysis . 20 2.3. 5 Statistical analysis . 20 2.4 Study Pipeline . 21 CHAPTER 3 RESULTS AND DISCUSSION . 22 3.1 The TERT hypermethylated Oncologic Region (THOR) predicts recurrence and survival in pancreatic cancer . 22 3.1.
Comparative Study on Total Lipid Quantification and Oxidative Rancidity Determination in Freshwater Fish Species with Different Fat Levels

The aim of this study was to investigate the efficiency of different extraction methods for total lipid determination and oxidative rancidity evaluation in freshwater fish with different fat levels. Total lipid content was determined by Bligh and Dyer with slight modifications and Soxhlet methods. Malondialdehyde (MDA) quantification was determined by analytical methods with and without heat application. In both freshwater fish species, Bligh and Dyer method extracted greater total lipid content ( P <0.05) than Soxhlet method. In addition, the heat method revealed higher MDA values ( P <0.05) compared to cold method in both lean fish ( Cichla ocellaris ) and high-fat fish species ( Piaractus brachypomus ). We concluded that, regardless of the fat content in the freshwater fish species, the Bligh and Dyer method and the cold method used for oxidative rancidity were more efficient than Soxhlet method and heat technique, respectively.
Regulation of queen development through worker aggression in a predatory ant

Extreme developmental plasticity within the eusocial insects defines the separation between the queen and worker castes. The switch between these 2 developmental pathways is thought to be under tight social control. Although a large emphasis has been placed on the effect of larval nutrition on caste determination, workers of many species have no direct control over larval feeding. This may be particularly relevant to the early evolution of ants, when behaviors that allow fine control over larval nutrition, such as mouth-to-mouth food exchange between larvae and workers, were probably not yet present. We investigated larval-directed aggression as an alternative means to regulate queen development in the ant Harpegnathos saltator, a species that retains ancestral characteristics. We tested worker response toward natural queen-destined larvae and larvae induced to develop as queens using a juvenile hormone analog (JHA). Workers from colonies that were not rearing queens bit queen-destined larvae, whereas worker-destined larvae were not attacked. When colonies were naturally rearing queens, workers did not bite JHA-treated larvae, and a larger proportion of these larvae developed into queens compared with larvae that received biting. This supports the hypothesis that workers of H. saltator use biting to inhibit queen development during periods when the conditions for queen rearing are not met. We propose that mechanical stress, in addition to nutrition, could serve as a mechanism to regulate queen development in species that lack fine control over larval food consumption, and this may have played a role during the early evolution of eusociality in ants.