Miracle-dz/UniFAR-FTUs huggingface dataset:
Towards a Pattern of Reference to Elaborate KM Governance Principles: the MGKME Example.

Corporate Governance and IT Governance do not explicitly mention Intellectual Capital as a resource to be considered in the enterprise strategies. Nevertheless, as highest international institutions sponsor Corporate Governance, we are encouraged to think that the knowledge economy will oblige to take into account Intellectual Capital. Consequently, we need to study the link between Knowledge Management (KM), and Corporate Governance and IT Governance. However, despite the fact that numerous KM Frameworks have been suggested all over the world, it does not exist a unify KM pattern upon which KM Governance principles could be established. This paper is an attempt to propose such a KM pattern of reference called MGKME (Model for Global Knowledge Management within the Enterprise).
Native and Non-native Speech Perception by Hearing-Impaired Listeners in Noise- and Speech Maskers

This study evaluated how hearing-impaired listeners perceive native (Swedish) and nonnative (English) speech in the presence of noise- and speech maskers. Speech reception thresholds were measured for four different masker types for each target language. The maskers consisted of stationary and fluctuating noise and two-talker babble in Swedish and English. Twenty-three hearing-impaired native Swedish listeners participated, aged between 28 and 65 years. The participants also performed cognitive tests of working memory capacity in Swedish and English, nonverbal reasoning, and an English proficiency test. Results indicated that the speech maskers were more interfering than the noise maskers in both target languages. The larger need for phonetic and semantic cues in a nonnative language makes a stationary masker relatively more challenging than a fluctuating-noise masker. Better hearing acuity (pure tone average) was associated with better perception of the target speech in Swedish, and better English proficiency was associated with better speech perception in English. Larger working memory and better pure tone averages were related to the better perception of speech masked with fluctuating noise in the nonnative language. This suggests that both are relevant in highly taxing conditions. A large variance in performance between the listeners was observed, especially for speech perception in the nonnative language.
Cardinal Number Acquisition of Turkish Children.

Cardinal number acquisition plays an important role in children‟s sense of number. Various investigations have revealed the influence of cultural variables on cardinal number acquisition. In this research, we investigated Turkish children‟s acquisition of cardinal numbers. Quantitative research method was used. The participants were 100 preschool children from four public preschools in Adıyaman, Turkey. We used the “Give me N” task with the intent of investigating children‟s acquisition of cardinal numbers. We obtained data from individual interviews with children. As a result of the research, we found that 60% of the children had cardinal number acquisition, 34% were in subgroups, and 6% were in the pre-number phase. In our sample the youngest child who had acquired cardinal numbers was 45 months old. We saw that the acquisition of the cardinal number phase was between 49 and 61 months for Turkish children and the majority of children older than 62 months had acquired cardinal numbers. Turkish children have the same cardinal number acquisition levels as their western peers however they acquire cardinal numbers a bit later. This research result showed that cultural differences could have a role in the age of cardinal number acquisition but not in phases. More cross-cultural studies are needed to better understanding.
Functional analysis of the chicken δ1-crystallin enhancer activity in Drosophila reveals remarkable evolutionary conservation between chicken and fly

Functional conservation of enhancers among evolutionarily diverged organisms is a powerful way to identify basic regulatory circuits and key developmental regulators. This is especially applicable to Crystallin genes. Despite unexpected heterogeneity and diversity in their DNA sequences, many studies have revealed that most of the Crystallin genes are regulated by a relatively small set of developmentally important transcription factors. The chicken δ1-crystallin is one of the best-characterized Crystallin genes. Its lens-specific regulation is governed by a 30 bp long DC5 fragment present in the third intron of the gene. DC5 contains PAX6 and SOX2 binding sites, and its activity depends on the cooperative binding of these two transcription factors. To test the idea that Pax6 and Sox2, together with the DC5 enhancer, could form a basic regulatory circuit functional in distantly related animals, we introduced the DC5 fragment into Drosophila and studied its activation pattern and regulation. The results show that the DC5 enhancer is not only active in the compound eye but, remarkably, is specifically active in those cells responsible for Crystallin secretion in Drosophila, i.e. the cone cells. However, regulation of the DC5 enhancer is carried out not by Pax6, but by Pax2 (D-Pax2; shaven – FlyBase) in combination with the Sox2 homologue SoxN. Both proteins (D-PAX2 and SOXN) bind cooperatively to the DC5 fragment and activate the enhancer synergistically. As PAX6 and PAX2 proteins derive from the same ancestor, we propose that during evolution Pax6 function in vertebrate lens development was retained by Pax2 in Drosophila.
Energy-efficient power control for underlaying D2D communication with channel uncertainty: User-centric versus network-centric

Most existing resource management problem models arise from the original desire of allocating resources in either a user-centric or network-centric manner. The difference between their objectives is obvious: user-centric methods attempt to optimize the utility of individual users, whereas network-centric models intend to optimize the collective utilities of the entire network. In this paper, from the above two aspects, we analyze the robust power control problem in device-to-device (D2D) communication underlaying cellular networks, where two types of channel uncertainty set (e.g., ellipsoidal and column-wise) are considered. In the user-centric method, we formulate the problem into the form of a Stackelberg game, where the energy efficiency (EE) of each user is the ingredient of utility function. In order to protect the cellular user equipment's (CUE) uplink transmission, we introduce a price based cost function into the objectives of D2D user equipment (DUE). The existence and uniqueness of the game with the influence of channel uncertainty and price are discussed. In the network-centric method, we aim to maximize the collective EE of CUEs and DUEs. We show that by the appropriate mathematical transformation, the network-centric D2D power control problem has the identical local solution to that of a special case of the user-centric problem, where price plays a key role. Numerical results show the performance of the robust power control algorithms in the user-centric and network-centric models.
Some Quantitative Limits For Disaster Risk and Equity Premium Estimates

With 87 years of volatile stock return data, disaster-risk models operate in a narrow band between an ability to lower the equity premium from the historical geometric 5.9% per annum to a more model-appealing 4%, and an equity premium that can no longer be distinguished from zero (risk neutrality) at conventional statistical significance levels. Available below-the-money index option prices limit the total compound effect of unobserved disaster risk to about –70 to –80%. Consequently, disaster risk cannot account for more than a 2–3% drag. Ironically, if we had observed a drop of –80% magnitude (or once we will), we will no longer be able to consider the equity premium estimate to be different from zero at conventional statistical significance levels. Thus, a disaster premium of 1-2% seems most appealing, leaving other factors or simple ordinary sampling variation to explain the remaining 4-5%.
DCT-block Difference based Noise Estimation using an Iterative Framework

Blind noise level estimation is an important step of many image processing applications, such as denoising, compression, and segmentation. In this paper, an iterative noise estimation algorithm based on DCT of image patches is proposed. Our method estimates noise level from the statistics of the DCT coefficient differences between pairs of homogeneous image patches, which are robustly selected from weak textured areas. The utilize of DCT difference coefficient data makes the algorithm robust to noise. In order to select weak textured blocks accurately even for noise case, we present a new weak texture detector, which is based on the ratio of AC and DC coefficient in DCT blocks. In the same DCT framework, a simple but effective image denoising method is presented and integrated into our iterative noise estimation method. We have demonstrated the good performance of this method using several public image databases.
Perspective Shifting: Humour and Comedy in Games

In this paper, we offer a distinction between comedy and humour. This distinction is employed to examine the intentional, scripted comedy and the context-driven, ludic emergence of humour in the game Portal. The game is examined, through content analysis of the game's transcript, using Berger's categories and techniques of comedy and Apter and Martin's Reversal Theory of Humour. The results of this pairing of theoretical approaches suggest there is an oscillation in the affective state of the player between the telic and paratelic states defined in Reversal Theory, and provide at least another lens through which researchers can analyse and map affective states and their shifts.
Feature Extraction and Classification ! f Electrocardiogram ( ECG ) Signals Related to Hypoglycaemia

Nocturnal hypoglycaemia has been implicated in the sudden deaths of young people with diabetes. Experimental hypoglycaemia has been found to prolong the ventricular repolarisation and to affect the T wave morphology. It is postulated that abnormally low blood glucose could in certain circumstances, be responsible for the development of a fatal cardiac arrhythmia. We have used automatic extraction of both timeinterval and morphological features, from the Electrocardiogram (ECG) to classify ECGs into normal and arrhythmic. Classification was implemented by artificial neural networks (ANN) and Linear Discriminant Analysis (LDA). The ANN gave more accurate results. Average training accuracy of the ANN was 85.07% compared with 70.15% on unseen data. This study may lead towards the demonstration of the possible relationship between cardiac function and abnormally low blood glucose. ∀. Introduction & background The aim of this work is to detect the onset of nocturnal hypoglycaemia indirectly through analysis of the Electrocardiogram (ECG) of type 1 diabetics. In order to achieve this, ECG feature extraction is performed and the features produced are classified according to their corresponding glucose levels. Nocturnal hypoglycaemia has been implicated in the sudden deaths of diabetics, especially those of an early age, a syndrome known as “Dead in Bed” [1]. The mechanism and cause of such deaths is still not very clear. The diabetics were well the night before and were found dead in an undisturbed bed the following morning. There was no brain damage, a symptom of profound hypoglycaemia, hence the deaths were caused by a different mechanism. It is suspected that deaths were caused by a fatal cardiac arrhythmia. It has been shown that experimental hypoglycaemia prolongs the ventricular repolarisation (VR) and hence it affects the rythmicity of the heart [2]. The 3-lead ECG was used for the purposes of this research. A typical ECG cycle is presented in figure 1. The T wave corresponds to the ventricular repolarization of the myocardium. During hypoglycaemia, the counter-regulatory responses cause the release of adrenaline and a fall in potassium, which delays repolarisation. These changes may be reflected on the ECG by changes in T wave morphology. If these changes can be automatically identified it may provide a warning of hypoglycaemia or of a potentially proarrhythmogenic condition.
Fast object localization using multi-scale image relevance function

An object detection method using a model-based visual attention mechanism is proposed in application to visual inspection problems and medical diagnostic imaging. The proposed method is based on a multi-scale operator called image relevance function - a non-linear multi-scale filter bank that has local maxima at the centers of object locations. Model-based design of this operator takes into account intensity, shape and texture features of the objects to be detected. This approach offers several advantages, including fast and accurate object localization, simple extraction of shape features, adaptive segmentation of object regions.
EE-DROP: An energy-aware router prototype

The increasing energy demands of network and networked device architectures represent a threat to the development of the Future Internet. Aside from environmental concerns and increasing energy costs, multi-core processors will soon be constrained by power consumption, which will eventually slow down the development of new technologies. In order to re-think and re-design wired network equipment and infrastructures towards more energy efficient approaches, the ECONET project aims at extending next generation networks, architectures and protocols in the green direction. This paper presents a prototype of one of the 13 platforms developed inside the project, namely the Distributed Router Open Platform (DROP). Results will show how the aggregation of multiple devices with green capabilities can guarantee a satisfying performance level while allowing huge energy savings.
Empirical Research on Relationship between College Students’ Social Identity and Online learning Performance: A case Study of Guangdong Province

From “God’s favored person” to “ordinary worker”, college students become indifferent to life and addicted to web gaming because they face a rapid devaluation of college student identity in China. At the same time, MOOC and other online learning resources are bringing students better personal learning environment and requiring the students to be more self-disciplined and self-educated oriented. Correlation was found among academic performance, life satisfaction and personal identity. The relationship between students’ online learning performance, life satisfaction and social identity has become a key issue for the Chinese educators and academic institutions. This paper investigates college student’s social identity and identify how online learning performance influences their life satisfaction and social identity based on 490 questionnaires using Jonathan M. Cheek relational identity orientation scale for the AIQ. The results suggest that the demographic feature of students has different influence on their social identity, and the effect of online learning performance and life satisfaction on social identity shows a significant difference. Besides, implications for improving college students’ social identity are also discussed.
Video object extraction with interactive image cutout and active search

This paper presents a video object extraction method. To cutout moving objects from a video, we adopt an approach of combining an interactive image cutout and an active search. In the proposed method, a user draws seed lines on the object and the background respectively in the first frame of a video. Using these seed lines, the image cutout algorithm automatically separates the object from the background. To the following frames of the video, the active search algorithm estimates the changes of position, scale and orientation of the object region. The seed lines are affine-transformed according to the estimation. To the new seed lines, the image cutout is performed again. Repeating the image cutout and the active search, dynamic object region can be accurately separated from each frame. Experimental results have shown that the proposed method is robust to affine transform of object's shape. Besides, the results have shown that the method can deal with non-rigid object and partial occlusion.
Photoreactivity of aged human RPE melanosomes: a comparison with lipofuscin.

PURPOSE To determine whether aging is accompanied by changes in aerobic photoreactivity of retinal pigment epithelial (RPE) melanosomes isolated from human donors of different ages, and to compare the photoreactivity of aged melanosomes with that of RPE lipofuscin. METHODS Human RPE pigment granules were isolated from RPE cells pooled into groups according to the age of the donors. Photoreactivity was determined by blue-light-induced oxygen uptake and photogeneration of reactive oxygen species. Short-lived radical intermediates were detected by spin-trapping, hydrogen peroxide by an oxidase electrode, singlet oxygen by cholesterol assay, and lipid hydroperoxides by iodometric assay. RESULTS Blue-light photoexcitation of melanosomes resulted in age-related increases in both oxygen uptake and the accumulation of superoxide anion spin adducts. The efficiencies of these processes, however, were still significantly lower than that induced by photoexcited lipofuscin. During irradiation of melanosomes, a substantial amount of oxygen was converted into hydrogen peroxide, whereas for lipofuscin, hydrogen peroxide accounted for not more than 3% of oxygen consumed. In contrast to lipofuscin, photoexcited melanosomes did not substantially increase the rate of oxidative reactions in the presence of polyunsaturated lipids or albumin. However, oxygen uptake was significantly elevated in the presence of ascorbate. Thus, the rate of photo-induced oxygen uptake in samples containing both ascorbate and melanosomes approached that observed in lipofuscin samples. CONCLUSIONS Blue-light-induced photoreactivity of melanosomes increases with age, perhaps providing a source of reactive oxygen species and leading to depletion of vital cellular reductants, which, together with lipofuscin, may contribute to cellular dysfunction.
First-step Mutations during Adaptation to Thermal Stress Shift the Expression of Thousands of Genes Back toward the Pre-stressed State

The temporal change of phenotypes during the adaptive process remain largely unexplored, as do the genetic changes that affect these phenotypic changes. Here we focused on three mutations that rose to high frequency in the early stages of adaptation within 12 Escherichia coli populations subjected to thermal stress (42°C). All of the mutations were in the rpoB gene, which encodes the RNA polymerase beta subunit. For each mutation, we measured the growth curves and gene expression (mRNAseq) of clones at 42°C. We also compared growth and gene expression to their ancestor under unstressed (37°C) and stressed conditions (42°C). Each of the three mutations changed the expression of hundreds of genes and conferred large fitness advantages, apparently through the restoration of global gene expression from the stressed towards the pre-stressed state. Finally, we compared the phenotypic characteristics of one mutant, I572L, to two high-temperature adapted clones that have this mutation plus additional background mutations. The background mutations increased fitness, but they did not substantially change gene expression. We conclude that early mutations in a global transcriptional regulator cause extensive changes in gene expression, many of which are likely under positive selection for their effect in restoring the pre-stress physiology.
Adaptable models and semantic filtering for object recognition in street images

The need for a generic and adaptable object detection and recognition method in images, is becoming a necessity today, given the rapid development of the internet and multimedia databases in general. This paper compares the state-of-the-art in object recognition and proposes a method based on adaptable models for detecting thematic categories of objects. Furthermore, automatically constructed semantics are used for filtering false positive objects. The classification of objects into categories is performed by the popular Adaboost. The method has been used for identifying car objects and so far has indicated not only accurate recognition performance, but also good adaptability to new objects types.
A preprocessing dependent image theory based ray tracing algorithm for indoor coverage solution

Hot spot coverage requirements of indoor environments necessitate adequate network platforms and optimal network planning. Optimal network planning imposes numerous iterative computations and evaluations of network coverage until the best antenna layout is achieved. Therefore, accurate and scalable indoor propagation models become of the ultimate essence. In this paper, image theory adopting a feasible reflection region concept is significantly enhanced using a pre-processing approach. The proposed method stores each mirrored image location, the corresponding feasible reflection region boundaries and the angles between walls of the indoor environment. Received power is calculated using stored data significantly reducing computational complexity in terms of the number of wall intersection tests that are necessary for coverage computations. The preprocessing approach is tested in different indoor configurations with multiple antennas. Simulation results confirm the superior accuracy of the proposed approach as well as the major complexity gain attained relative to other image theory based approaches.
QUALITY OF LIFE AND MENTAL EMOTIONAL HEALTH OF ELDERLY PEOPLE

The higher dependence rate of elderly people in Ponorogo can make their quality of life lower.Unfortunately, how the quality of life can influence the mental emotional health is still unknown. The purpose of this research was to identify the influence of the quality of life to mental emotional disorders of older adults. The design of this research was Observational correlational with cross sectional approach. This research was held at 4 working areas of health facilities in Ponorogo district in East Java from March to May in 2015.This study included 200 elder people as participants and 50 sampling quota in each health facilities. The data collection in this study was assessed with 2 instruments. First instrument was used in this study developed by World Health Organization in Quality of life (WHO QOL-BREF) and second instrument was Self Reporting Questionnaire (SRQ) . The Pearson Correlation test was performed in this study (SPSS version 20) . The researchers found out that there was an influence of quality of life (physical health, psychologic, social relationship, and environment) on mental emotional disorders in elder people (p-Value < 0.05). This result revealed that quality of life in older adults influenced the mental emotional disorders. The improvement actions that can be proposed to decrease the mental emotional disorders of the elderly are the elderly are able to have an easy and quick access to health and general service facilities to support the mental well being of older people.