Miracle-dz/UniFAR-FTUs huggingface dataset:
Analyzing clusters in the university of Montenegro collaboration network

In this paper we present the first case study on collaboration network of researchers at the University of Montenegro - UoM. We identify the largest clusters or groups of scientists that are interested in the same topic, using Girvan-Newman algorithm. The results show that these clusters constantly grow over the period 2005-2015 and at the moment they occupy more than 50% authors from the UoM. It indicates that there exists increasingly collaboration between authors from the UoM network. But, according to classification of real networks the UoM network is in “sub-critical” regime, and still far away from “connected” regime. The study is limited to the authors from the UoM and we do not consider any collaboration outside of the UoM. Also, we consider only papers published in the SCI, SCIE, SSCI, A&HCI and SCOPUS categories, because they are recognized as the most important for professional career of professors at the UoM.
Interference aware self-organization for wireless sensor networks: A reinforcement learning approach

Reliability is a key issue in wireless sensor networks. Depending on the targeted application, reliability is achieved by establishing and maintaining a certain number of network functionalities: the greatest among those is certainly the capability of nodes to communicate. Sensors communications are sensible to interference that might corrupt packets transmission and even preclude the process of network formation. In this paper we propose a new scheme that allows to establish and maintain a connected topology while dealing with this problem. The idea of channel surfing is exploited to avoid interference; in the resulting multi-channel environment nodes discover their neighbors in a distributed fashion using a reinforcement learning (RL) algorithm. Our scheme allows the process of network formation even in presence of interference, overcoming thus the limit of algorithms currently implemented in state of the art standards for wireless sensor networks. By means of reinforcement learning the process of neighbor discovery is carried out in a fast and energy efficient way.
Phenomenology of Substance Use Among School-Going Adolescents in Botswana

Background: Increased rates of alcohol and drugs abuse has been noted among secondary school students in Botswana. Objectives : We conducted nine student focus groups to elicit motivations for substance use as well as risk and mitigating factors. Methods: Participants were purposely sampled from among 2,227 secondary school students surveyed regarding drug/alcohol use in secondary schools. Students were selected for focus group participation based on their scores on the alcohol use and dependency inventory tool (AUDIT) and self-reported risk factors for alcohol/drug use. Results: Students reported that alcohol/drugs are readily available at school and at home. A prominent theme among substance users was inadequate support from parents, who they describe as uncomfortable and unwilling to talk about common issues faced during adolescence, including alcohol/drug use. Conclusions: We identified opportunities to improve the current situation such as renewing efforts to restrict alcohol availability and focusing on parent-child communication interventions.
An Empirical Study on Inter-Commit Times in SVN

Until now, centralized revision control systems such as Subversion (SVN) have been widely used in open-source software (OSS) development. Commit is a basic and important operation for revision control, and it has attracted the attention of a large number of researchers. As far as we know, few of prior studies investigated the distribution of inter-commit times (known as commit intervals), which reveals the development dynamics of an OSS project to some extent. To gain a better understanding on OSS development processes, we conducted an empirical study on two representative projects written in Java, and found that (1) the distributions of commit intervals in the two projects in question roughly follow power laws, with commit bursts (i.e., the revisions in a SVN repository are updated quickly over a period of time) and heavy tails, and (2) the working mode of SVN and (full-time or volunteer) developers’ work habits contribute to commit bursts, while active committer’s individual behavior (such as his/her tasks completion and illness) and long vacations are the primary factors that result in long inter-commit times. The findings could provide a new insight into schedule planning for OSS projects based on developers’ historical commit behavior. Keywords-subversion; development dynamics; commit interval; burst; heavy tail
Hospital Size, Uncertainty, and Pay-for-Performance

We construct statistical models to assess whether hospital size will impact the ability to identify “true” hospital ranks in pay-for-performance (P4P) programs. We use Bayesian hierarchical models to estimate the uncertainty associated with the ranking of hospitals by their raw composite score values for three medical conditions: acute myocardial infarction (AMI), heart failure (HF), and community acquired pneumonia (PN). The results indicate a dramatic inverse relationship between the size of the hospital and its expected range of ranking positions for its true or stabilized mean rank. The smallest hospitals among the augmented dataset would likely experience five to seven times more uncertainty concerning their true ranks.
Effects of tactile sensitivity on fingertip center-of-pressure distribution during stable precision grip

This study investigated the effect of tactile sensation on the fingertip center of pressure (COP) signals when the thumb and index finger interact with an object for stable precision grip. Thirty healthy subjects participated in the experiment. The tactile sensitivity was modulated by wrapping up the distal pads of the thumb and index finger with transparent polyethylene films. Subjects were instructed to grip and hold an apparatus as stably as they could for one minute. The apparatus was equipped with an additional load stably fixed or swing at the bottom of the apparatus during precision grip. The COP signals were calculated by the force and torque components, and its distribution was fitted by ellipses using principal component analysis. The area, and the lengths of semi-major and semi-minor axis were computed. Results showed that the tactile deficits did not impair the COP areas. However, with compromised tactile sensation, the semi-major axis of the index finger COP distribution was significantly longer than that of the thumb; and the semi-minor axis of the index finger COP distribution was significantly lower than that of the thumb. These results showed that the tactile deficits may lead to an increase in the inter-digit COP distributions. This study provided a methodology for fingertip COP measurement and has implications of sensorimotor control for precision grip.
Short circuit detection using the gate charge characteristic for Trench/Fieldstop-IGBTs

In this paper, the detection of insulated-gate bipolar transistors (IGBT) short-circuit failures based on the gate charge characteristic is investigated. The main focus are impacts of the parasitic inductances and the operating point on the gate charge characteristic, as well as limitations for this protection concept by this effects. An analogous detection circuit is developed and relevant implementation aspects are given. The concept is validated with a state-of-the-art Trench/Fieldstop-IGBT for electric vehicle traction application.
Integral field optical spectroscopy of a representative sample of ULIRGs - I. The data

Context. Ultraluminous infrared galaxies are among the brightest objects in the local Universe. They are powered by strong star formation and/or an AGN. They are also likely to be the progenitors of elliptical galaxies. The study of the structure and kinematics of samples of local ULIRGs is necessary to understand the physical processes that these galaxies undergo, and their implications for our understanding of similar types of galaxies at high redshift. Aims. The goal of the project is to analyze the structure, dust distribution, ionization state, and kinematics of a representative sample of 22 ULIRGs. The galaxies in the sample undergo di erent merger phases (they are evenly divided between pre- and post-coalescence systems) and ionization stages (27% Hii, 32% LINER, 18% Seyfert, and 23% mixed classifications) over a wide infrared luminosity range (11.8 LIR/L 12.6), with some galaxies of low-luminosity. The main aims of this paper are to present the sample and discuss the structure of the stellar and ionized gas components. Methods. Our study relies on the use of integral field optical spectroscopy data obtained with the INTEGRAL instrument at the William Herschel Telescope. Results. The structure of the ionized gas as traced by di erent emission lines has been studied and compared with that of the stellar continuum. We find structural variations between the gaseous and the stellar components, with o sets in the emission peaks positions of up to about 8 kpc. Young star formation (as traced by the H emission) is present in all regions of the galaxies. However, for 64% of ULIRGs in an early interaction phase, the young star formation peak does not coincide with the stellar maxima. In contrast, galaxies undergoing advanced mergers have a H peak that is located in their nuclear regions. In three of the studied ULIRGs, hard ionizing photons traced by the [Oiii] 5007 line excite extra-nuclear nebulae out to distances of about 7 kpc. These regions do not show bright stellar emission, but are rather dominated by nebular emission. These galaxies have nuclei classified as Seyfert in the literature. Approximately 40% of the pre-coalescence ULIRGs exhibit shifts between the peaks of their red continuum and that local to the [Oi] 6300 line. However, some of these peaks are associated with the secondary stellar nucleus of the system. In contrast, the emission in post-coalescence ULIRGs is concentrated towards the nuclei. These results imply that evolution caused by a merger is ocurring in the ionized gas structure of ULIRGs.
Spatial and temporal patterns of xylem sap pH derived from stems and twigs of Populus deltoides

Xylem sap pH (pHX) is critical in determining the quantity of inorganic carbon dissolved in xylem solution from gaseous [CO2] measurements. Studies of internal carbon transport have generally assumed that pHX derived from stems and twigs is similar and that pHX remains constant through time; however, no empirical studies have investigated these assumptions. If any of these assumptions are violated, potentially large errors can be introduced into calculations of dissolved CO2 in xylem and resulting estimates of internal carbon transport. We tested the validity of assumptions related to pHX in Populus deltoides L. with a series of non-manipulative experiments. The pHX derived from stems and twigs was generally similar and remained relatively constant through a diel period. The only exception was that pHX derived from lower stem sections at night was higher than that derived from twigs. The pHX derived from stems was similar on clear days when solar radiation and vapor pressure deficit (VPD) were similar, but higher on an overcast day when solar radiation and VPD were lower. Similarly, cloudy conditions immediately before an afternoon thunderstorm increased pHX derived from twigs. The pHX derived from twigs remained similar when measured on sunny afternoons between July and October. Our results suggest that common assumptions of pHX used in studies of internal carbon transport appear valid for P. deltoides and further suggest pHX is influenced by environmental factors, such as solar radiation and VPD that affect transpiration rates. © 2011 Elsevier B.V. All rights reserved.
COMPUTER VISION AND HUMAN PERCEPTION an essay on the discovery of constraints

The study of v i s i o n, in both man and machine, is viewed as the discovery of constraints. Comput ational constraints often imply assumptions neces sary for achieving a problem's solution, while psychological and neurophysiological ones r e s t r i ct the manner in which such solutions can be achieved. These ideas are i l l u s t r a t ed by several examples of research related to the early processing of visual information. The development of the paper takes place h i s t o r i c a l l y, s t a r t i ng with Helmholtz and Mach, as well as comceptually, from the concrete to the abstract, and anatomically, from the eye to the b r a i n.
IGF-1 Promotes Brn-4 Expression and Neuronal Differentiation of Neural Stem Cells via the PI3K/Akt Pathway

Our previous studies indicated that transcription factor Brn-4 is upregulated in the surgically denervated hippocampus in vivo, promoting neuronal differentiation of hippocampal neural stem cells (NSCs) in vitro. The molecules mediating Brn-4 upregulation in the denervated hippocampus remain unknown. In this study we examined the levels of insulin-like growth factor-1 (IGF-1) in hippocampus following denervation. Surgical denervation led to a significant increase in IGF-1 expression in vivo. We also report that IGF-1 treatment on NSCs in vitro led to a marked acceleration of Brn-4 expression and cell differentiation down neuronal pathways. The promotion effects were blocked by PI3K-specific inhibitor (LY294002), but not MAPK inhibitor (PD98059); levels of phospho-Akt were increased by IGF-1 treatment. In addition, inhibition of IGF-1 receptor (AG1024) and mTOR (rapamycin) both attenuated the increased expression of Brn-4 induced by IGF-1. Together, the results demonstrated that upregulation of IGF-1 induced by hippocampal denervation injury leads to activation of the PI3K/Akt signaling pathway, which in turn gives rise to upregulation of the Brn-4 and subsequent stem cell differentiation down neuronal pathways.
The Generalized Shortest Path Problem

We consider generalized shortest path problems with cost and weight functions for the arcs of a graph. According to their weight arcs may generate or consume ow. Weights may be additive or multiplicative on a path. More precisely, if x units enter an arc a = (u; v) then x + w(a) resp. x w(a) leave it. The cost is charged per unit and summed over the edges of a path. If the weights multiply, then the generalized shortest path problem can be solved eeciently by the reverse Dijkstra algorithm. By a generalization we can capture consuming ows, negative costs and cost decreasing cycles. If the weights sum up, then there is a dynamic programming approach in pseudo-polynomial time. If the cost and the weight are bounded simultaneously, then we have the constraint shortest path problem, which is NP-complete. The generalized shortest path problem is a special generalized min-cost network ow problem. These arise in several application contexts and have been studied intensively in the literature, see e.g. 1]. Since the integer generalized max-ow problem is NP-hard our result gives evidence that there are no ee-cient ow augmenting path algorithms for generalized network ow problems.
Personality-Attention Link in Emotional Oculomotor Go/No-Go Task: A Comparative Study of Performance of Varying Degrees of Extraversion and Neuroticism

Personality and attention are interlinked, as how we respond to the environment is truly dependent on who we are. How we move our eyes, where we look at is of significance in attentional paradigms. Selective visual attention is of significance in visual field. It usually occurs without conscious awareness, and spontaneous reactions are formed which can be seen through eye movement tasks. There are quite a number of researches done on personality and attention. The present study, however, describes about different degrees of extraversion and neuroticism, and how they respond to different set of stimuli favoring each one of them. For this study an emotional variant of oculomotor go/no-go task was chosen. The Eyesenck personality questionnaire (EPQ-R) 90 item was used to measure the extraversion and neuroticism traits. The participants age range varied from 20 to 40 years (M=24.8, S.D=4.04). The present study aims to compare high and low degrees of extraversion and neuroticism with different set of emotional stimuli that may function as trait-congruent system. The results of the study revealed significant differences in degrees of dimensions of personality. Where high extraverts were more responsive towards high emotionally arousing pictures, high neurotics showed an inclination towards unstable emotional stimuli. The impact of extraversion was the highest, among all on high emotionally arousing stimuli. This study endeavors how the tasks that demand deliberate inhibition may be overruled if the stimuli in hand is arousing or matches the interest of person. The present study is beneficial in understanding the intricacies of personality and eye movement tasks.
Uncertain 2D Continuous Systems with State Delay: Filter Design using an Polynomial Approach

This paper proposes a methodology to design filters that extract information from noisy signals. From a mathematical point of view, a method is used based on homogeneous polynomially parameter-dependent (HPPD) matrices of arbitrary degree. The optimal H filter is then obtained by solving a convex optimization problem using off-the-self software. To show the effectiveness of the proposed filter design methodology some examples are solved, and the solution is illustrated using computer simulations.
Practical issues of statistical path monitoring in overlay networks with large, rank-deficient routing matrices

Overlay networks can be used to find working paths when direct underlay paths are anomalously slow, e.g. because of a network fault. Overlay paths should not use links that are involved in a fault, so choosing which overlay path to use often requires path monitoring, which introduces an overhead. By using a routing matrix 'M' to define which links are used in each path, and sorting the matrix according to the degree of independence of paths, we can choose a subset of paths to monitor, and so reduce overheads. The performance metrics of the unmonitored paths are then predicted based on information inferred from the monitored. Previous work has shown how statistical prediction errors can occur, even in small networks (11 nodes, 110 paths), when monitoring fewer paths than the rank of the matrix. This paper extends previous work by showing that collinear relationships between variables in paths of larger routing matrices in networks with tens of nodes and 1-2 000 paths are a large source of errors in larger networks. We show that mitigation of such errors leads to improved path metric prediction and anomaly detection.
Video shot boundary detection based on candidate segment selection and transition pattern analysis

Video shot boundary detection or shot segmentation is an integral part of semantic video analysis. The objective of this process is to automatically detect the boundary region in video that further segment the video into meaningful shot, scene and so on. Video frame feature representation therefore plays an important role in the process where it directly affects the overall performance of the system. The transition points between meaningful scenes can be emphasised by the extracted features. In this paper, a combination of global and local feature descriptors is implemented to represent the temporal characteristic in video. Motivated by computational efficiency and practical implementation, a video shot boundary detection scheme using adaptive thresholding is proposed. Candidate segment selection and transition pattern analysis are implemented by the dissimilarity score between video frames. The performance evaluation is constructed on a golf video dataset using the precision and recall performance measures.
Segmentation-based spatially adaptive motion blur removal and its application to surveillance systems

Various image restoration methods have been studied for removing space-variant motion blur such as iterative and POCS (projection on to convex sets) method. However, the computational complexity of the methods, such as regularized iteration and POCS method, is so high that they can hardly be implemented in real-time. We address a method to reduce the computational complexity by selecting the region to be restored. The primary application area of the proposed method is a surveillance system which requires accurate object extraction, identification and tracking functions. To remove motion blur, we propose a new spatially adaptive regularized iterative image restoration algorithm. Experimental results show the the proposed algorithm can efficiently remove space-variant motion blur with significantly reduced computational overhead.
Intelligent assistance for software construction: a case study

An important type of software design task involves constructing software artifacts from existing components. Major user tasks are locating relevant components, reusing existing artifacts, and ensuring that the artifact is complete and consistent. We developed a prototype knowledge-based graphical system that supports these tasks. It delivers information to users by adding and deleting graphical objects and changing their appearance. The system was developed in cooperation with an AT&T product organization. They created a production version of the tool for assembling sets of telecommunications features for customers. The tool lets users work at a high level and eases problems with locating relevant features, reusing feature lists, and maintaining consistency. <<ETX>>
Perturbation theory calculations of model pair potential systems

v CHAPTER 1. GENERAL INTRODUCTION 1 Research Motivation 1 Thesis Organization 2 CHAPTER 2. GENERAL METHODS 3 General Methods 3 CHAPTER 3. LENNARD-JONES SYSTEM 7 Overall Introduction 7 Method on BCC Solid Reference Free Energy 8 Method on BCC Solid Perturbation Free Energy 11 Results of BCC Solid Free Energy of LJ System 12 Method on Liquid Hard Sphere Free Energy 13 Method on Liquid Perturbation Free Energy 13 Results of Liquid Free Energy of LJ System 14 Conclusions 16 CHAPTER 4. YUKAWA SYSTEM 18 Amendment on General Methods When Applied to Yukawa System 18 Issue of Units 20 Results of Liquid Free Energy of Yukawa System 20 Conclusions 22 CHAPTER 5. GENERAL CONCLUSION 23
Least-Squares Minimization Under Constraints EPFL

These algorithms are, however, not designed to perform least-squares minimization under hard constraints. This short report outlines two very simple approaches to doing this to solve problems such as the one depicted by Fig. 1. The first relies on standard Lagrange multipliers [Boyd and Vandenberghe, 2004]. The second is inspired by inverse kinematics techniques [Baerlocher and Boulic, 2004] and has been demonstrated for the purpose of monocular 3D surface modeling in [Salzmann and Fua, 2010]. In both cases, we outline matlab implementations.