Miracle-dz/UniFAR-FTUs huggingface dataset:
Capacity of Multi-Channel Wireless Networks with Random Channel Assignment: A Tight Bound

Abstract : The issue of transport capacity of a randomly deployed wireless network under random (c, f) channel assignment was considered by us in [1]. We showed in [1] that when the number of available channels is c = O(log n), and each node has a single interface assigned a random f subset of channels, the capacity is Omega(W x square root of f/cn log n) and O(W x square root of Prnd/n log n), and conjectured that optimal capacity was Theta(W x square root of Prnd/N log n). We now present a lower bound construction that yields capacity Omega(W x square root of Prnd/n log n) whenever f > 10(1 + log 192/5 + log c/f). Thus for values of c and f that satisfy f > 10(1 + log 192/5 + log c/f), the optimal capacity under random (c,f) assignment is proved to be Theta(W x square root of Prnd/n log n). n log n ). We conjecture that this would be the case for all 2 </= f </= c (for any given c= O(log n).
Early childcare, maternal education and family origins: differences in cognitive and linguistic outcomes throughout childhood

Centre-based care in early childhood has been associated with better scores on linguistic and cognitive tests at later times. Nevertheless, there is no consensus about the stability of these effects across the preschool and primary school stages. Furthermore, no data about the effects of early care have been reported from the Italian context. Our study analysed the effects of early childcare, maternal education and parental origin (native versus foreign) on the cognitive and linguistic outcomes of pre-schoolers and pupils. The sample comprised 175 three- to tenyear- old children, from a large Northern Italian city. Children’s non-verbal cognitive functioning and receptive language were assessed. Parents provided information about their own birthplace and level of education and about their child’s birthplace and type of childcare received from 0 to 2 years. Analysis of the single effects of type of care, maternal education and parental origin on children’s outcomes, showed differences only due to maternal education. When the interactions among these variables were explored, centre-based care appeared to play a protective role with respect to maternal education: differences due to maternal education were evident in children who had been in home-based care, but not in children who had been in centre-based care. Besides, home-based care appeared to play a protective role with respect to parental origin: children with two foreign parents displayed more advanced linguistic knowledge if they had spent their early years in the home. The importance of educational intervention and training for professionals to better support children’s development will be discussed.
How to Be Proactive About Interference

Processes of proactive interference were explored using the pigeon as a model system of memory. This study shows that proactive interference extends back in time at least 16 trials (and as many minutes), revealing a continuum of interference and providing a framework for studying memory. Pigeons were tested in a delayed same/different task containing trial-unique pictures. On interference trials, sample pictures from previous trials reappeared as test pictures on different trials. Proactive-interference functions showed greatest interference from the most recent trial and with the longer of two delays (10 s vs. 1 s). These interference functions are accounted for by a time-estimation model based on signal detection theory. The model predicts that accuracy at test is determined solely by the ratio of the elapsed time since the offset of the current-trial sample to the elapsed time since the offset of the interfering sample. Implications for comparing memory of different species and different types of memory (e.g., familiarity vs. recollection) are discussed.
Connecting the web with the web of things: lessons learned from implementing a CoAP-HTTP proxy

The Constrained Application Protocol (CoAP) is a lightweight application layer protocol for the Internet of Things. CoAP is based on HTTP mechanisms to build RESTful Web services. In contrast to HTTP, CoAP was designed for machine-to-machine (M2M) communication and uses a binary representation. This allows efficient transport and processing in resource-constrained networks such as Wireless Sensor Networks (WSN). Due to the analogy to REST, a mapping between CoAP and HTTP is possible. In this paper one of the first translating CoAP-HTTP proxies is presented, that provides HTTP clients transparent access to CoAP resources and vice versa. Furthermore, caching relieves CoAP servers, which solves a key challenge for the Internet of Things: to allow a constant/permanent availability of resources from a network of constrained devices, which are required to minimize data transmissions due to their noticeable restrictions in power consumption. We describe, which issues of the translation we found during the time of implementation and testing, and explain how the proxy handles these issues. Finally, an evaluation, using real WSN hardware, is given, and an approximation scheme on how much transmissions can be saved by caching resources is provided.
Ecosystem approach to fisheries

The proposed project will develop and test a management system for implementing an Ecosystem Approach to Fisheries (EAF). This will be achieved by testing a process for implementation of an EAF that is supported by linked state and pressure indicators. This approach will allow managers to assess the status of the ecosystem and to take specific and tractable management action to manage fishing activities that compromise management objectives. The proposed project will focus on the development of methods for implementing an EAF, on methods for managing fishing impacts and on assessing the contribution of different metiers to the total fishing pressure on ecosystem components and attributes. The latter issue has thus far barely been addressed when developing an EAF, and yet, for practical implementation, it is essential to relate necessary management actions to vessels rather than expressing simple aspirations to reduce impacts on the ecosystem by reducing fishing effort or mortality, but without knowing how this would be achieved in practice.
Venous Thromboembolism in Children with Cancer and Blood Disorders

Venous thromboembolism (VTE) in children is multifactorial and most often related to a combination of inherited and acquired thrombophilias. Children with cancer and blood disorders are often at risk for VTE due to disease-related factors such as inflammation and abnormal blood flow and treatment-related factors such as central venous catheters and surgery. We will review risk factors for VTE in children with leukemia, lymphoma, and solid tumors. We will also review risk factors for VTE in children with blood disorders with specific focus on sickle cell anemia and hemophilia. We will present the available evidence and clinical guidelines for prevention and treatment of VTE in these populations.
The Effect of Hawai’i’s Big Island on Track and Structure of Tropical Cyclones Passing to the South and West*

AbstractThe effect of the Big Island of Hawai’i on tropical cyclone (TC) track and structure is investigated using the Weather Research and Forecasting (WRF) model. The high (~4000 m) mountains of the Big Island modulate lower-tropospheric flow in such a way that it can influence TCs hundreds of kilometers away from the island. When a TC approaches from the east, the blocking of lower-tropospheric flow leads to a slowing of the TC’s movement. As a TC passes close to the south side of the Big Island, it deviates southward. The TC core convection and winds can become axisymmetric because of the blocking of the stronger northeasterly flow to the north of the storm. The authors hypothesize that this axisymmetrization led to the unexpected eye formation of Hurricane Flossie (2007) just southeast of the Big Island. As a TC moves into the lee (southwest side) of the Big Island, the flow associated with the island wake leads to a track deviated to the right. The Hurricane Dot (1959) simulations suggest that this .
A flexible affix byte-level string matching for network content filtering

String matching is a classical problem in computer science. The technique is widely used in range of applications, such as pattern recognition, spelling checking, intrusion detection, worm containment, information retrieval and so on. String matching using the Deterministic Finite Automaton will be the performance bottleneck of network content filtering. We proposed a flexible affix byte-level string matching algorithm to reduce the unnecessary state transitions problem and reduce memory requirements. This proposed algorithm is based on the Byte-level string matching algorithm and it utilizes dynamic partitioning words to accelerate the matching speed. The proposed string matching algorithm was implemented in Snort for experimental performance evaluation. Comparing with the original algorithm, experimental result shows that the newly presented algorithm has gained much improvement on memory reduction, especially in detecting multiple keywords within a reliable network system.
A Simple Nonparametric Long-Run Correlation Estimator

A simple consistent nonparametric estimator of the long-run correlation between two series is proposed, based on the estimation of the bivariate k-lag difference correlation. It is shown that the estimator is asymptotically equivalent to the Bartlett kernel spectral estimator of the complex coherency at frequency zero. The asymptotic distribution is derived, with a test for the absence of long-run correlation. An optimal lag-selection criterion is also presented. Monte Carlo experiments are used to evaluate the proposed estimator. I am grateful to F. Araújo, S. Durlauf, J. Faria, B. Hansen, M. Horvath, Y. Kitamura, B. Tabak and particularly K. West for many helpful comments and suggestions. I am nevertheless solely responsible for remaining errors.
A qualitative description of community service, business, and organization perspectives on mental illness and inclusion

ABSTRACT Although stigma associated with mental illness is pervasive, less is known about community stakeholder perspectives on inclusion and exclusion. This study provides a qualitative analysis of the mental illness–related experiences and perspectives of individuals who form much of the fabric of “community” for individuals with severe mental illness. In-depth interviews were conducted with a diverse group of 94 key community stakeholders in five neighborhoods in a large Canadian urban center. Qualitative analysis revealed a range of strategies that were used to foster inclusive spaces, the dilemmas that attended more severe forms of mental illness, and the importance of the meanings ascribed to mental illness in determining responses. Differences in response as a function of stakeholder group were also explored. There exist very promising resources and diverse perspectives on inclusion in urban communities that warrant further investigation given the intensive emphasis upon ‘community’ in policy and practice dialogues.
Impact of Emotional Intelligence and Knowledge Management on Organizational Performance: Mediating Role of Organizational Learning

Due to globalization and uncertainty in business environment, organizations need to adapt and update their knowledge to remain competitive and innovative and to enhance their productive level. Moreover, Emotional intelligence is vital and accountable factor that determine the victory in life. Such factor plays a significant part in workplace by influencing the collaboration between managers and employees. However, present study is undertaken to scrutinize the influence emotional intelligence, knowledge management on the performance level of organization with mediating role of organizational learning. Current study is descriptive and cross-sectional. Sample size is 150 and simple random sampling method is used. Questionnaire survey method has used. Structural Equation Modelling (SEM) used to support and prove the hypothesis statistically. Results of study enlightened that there is significant positive relationship between emotional intelligence, and organizational performance. Moreover, knowledge management also significantly associated with organizational performance. Furthermore, findings revealed that organizational learning significantly and partially mediates the relationship between emotional intelligence and performance as well as knowledge management and organizational performance. Therefore, Emotional Intelligence and Knowledge are important inputs and organizational learning is the key practice, which enhances the performance and output of any organization.
CARAVAN: Providing Location Privacy for VANET

Abstract : In vehicular ad hoc networks (VANET), it is possible to locate and track a vehicle based on its transmissions, during communication with other vehicles or the road-side infrastructure. This type of tracking leads to threats on the location privacy of the vehicle's user. In this paper, we study the problem of providing location privacy in VANET by allowing vehicles to prevent tracking of their broadcast communications. We first, identify the unique characteristics of VANET that must be considered when designing suitable location privacy solutions. Based on these observations, we propose a location privacy scheme called CARAVAN, and evaluate the privacy enhancement achieved under some existing standard constraints of VANET applications, and in the presence of a global adversary.
Detection of fillers using prosodic features in spontaneous speech recognition of Japanese

A new scheme of detecting fillers in spontaneous speech recognition process was developed. When a filler hypothesis appears during the 2 nd pass decoding of a speech recognizer with two-pass configuration, a prosodic module checks the morpheme which is hypothesized as a filler and outputs the likelihood score of the morpheme being a filler. When the likelihood score exceeds a threshold, a prosodic score is added to the language score of the hypothesis as a bonus. The prosodic module is constructed using five-layered perceptron. With inputs on prosodic features of current, preceding and following morphemes, the perceptron calculates the filler likelihood. A comparative recognition experiment with and without the prosodic module was conducted for 100 utterances of spontaneous speech, which are included in the corpus of academic meeting presentations of the Corpus of Spontaneous Japanese. Seven fillers originally miss-recognized as nonfillers are correctly recognized as fillers when the prosodic module is used. No fillers originally recognized as fillers are wrongly recognized as non-fillers. Although a few non-filler morphemes are miss-recognized as other non-filler morphemes by the introduction of the prosodic module, they can be corrected by properly setting parameters of the 2 nd pass search process. These results indicate the proposed scheme can improve the performance of spontaneous speech recognition.
Vehicle Detector Method for Complex Environments on Embedded Linux Platform

surveillance and investigation is important to increase the safety on roads. Vehicle detection and tracking in road surveillance is classical task in computer vision and critical component in modern traffic monitoring system. Intelligent transport system (ITS) brings advanced computing, sensing and telecommunication technologies to transport related problems. Many traffic surveillance systems have been developed to detect traffic congestion. In this paper video traffic detection system is used to detect the vehicles and track the vehicle speed. This project is implemented using Open CV Image processing library. In implementing this project gray scale conversion, background subtraction, and morphological operations are used. This proposed system uses a webcam located in traffic surveillance system. It captures video stream and send to ARM9 microcontroller; it processes the information such as number of vehicles, vehicle speed and send to remote PC.
Calcium/calmodulin‐dependent kinase II and nitric oxide synthase 1‐dependent modulation of ryanodine receptors during β‐adrenergic stimulation is restricted to the dyadic cleft

The dyadic cleft, where coupled ryanodine receptors (RyRs) reside, is thought to serve as a microdomain for local signalling, as supported by distinct modulation of coupled RyRs dependent on Ca2+/calmodulin‐dependent kinase II (CaMKII) activation during high‐frequency stimulation. Sympathetic stimulation through β‐adrenergic receptors activates an integrated signalling cascade, enhancing Ca2+ cycling and is at least partially mediated through CaMKII. Here we report that CaMKII activation during β‐adrenergic signalling is restricted to the dyadic cleft, where it enhances activity of coupled RyRs thereby contributing to the increase in diastolic events. Nitric oxide synthase 1 equally participates in the local modulation of coupled RyRs. In contrast, the increase in the Ca2+ content of the sarcoplasmic reticulum and related increase in the amplitude of the Ca2+ transient are primarily protein kinase A‐dependent. The present data extend the concept of microdomain signalling in the dyadic cleft and give perspectives for selective modulation of RyR subpopulations and diastolic events.
Facebook likes: a study of liking practices for humanitarian causes

Civic engagement on Facebook has evolved, but there are still few studies of people's motivations and reasons for liking humanitarian causes on Facebook. Introduced in 2009, the 'like' button has become a part of users' daily Facebook routines and a way for them to engage in humanitarian causes. Content analysis from a survey N = 405 revealed six different liking practices for humanitarian causes on Facebook: 1 socially responsible liking; 2 emotional liking; 3 informational liking; 4 social performative liking; 6 low-cost liking; 7 routine liking. Interestingly, informational-driven liking was much less common than the more socially and emotionally motivated reasons for liking. The majority of the respondents also believe such likes help in promoting humanitarian causes; only a few had unliked such causes. The implications of these findings for understanding the nature and function of Facebook likes as a new form of civic engagement and humanitarian support are discussed.
Retrospective Analysis for Genetic Improvement of Hip Joints of Cohort Labrador Retrievers in the United States: 1970–2007

Background Canine Hip Dysplasia (CHD) is a common inherited disease that affects dog wellbeing and causes a heavy financial and emotional burden to dog owners and breeders due to secondary hip osteoarthritis. The Orthopedic Foundation for Animals (OFA) initiated a program in the 1960's to radiograph hip and elbow joints and release the OFA scores to the public for breeding dogs against CHD. Over last four decades, more than one million radiographic scores have been released. Methodology/Principal Findings The pedigrees in the OFA database consisted of 258,851 Labrador retrievers, the major breed scored by the OFA (25% of total records). Of these, 154,352 dogs had an OFA hip score reported between 1970 and 2007. The rest of the dogs (104,499) were the ancestors of the 154,352 dogs to link the pedigree relationships. The OFA hip score is based on a 7-point scale with the best ranked as 1 (excellent) and the worst hip dysplasia as 7. A mixed linear model was used to estimate the effects of age, sex, and test year period and to predict the breeding value for each dog. Additive genetic and residual variances were estimated using the average information restricted maximum likelihood procedure. The analysis also provided an inbreeding coefficient for each dog. The hip scores averaged 1.93 (±SD = 0.59) and the heritability was 0.21. A steady genetic improvement has accrued over the four decades. The breeding values decreased (improved) linearly. By the end of 2005, the total genetic improvement was 0.1 units, which is equivalent to 17% of the total phenotypic standard deviation. Conclusion/Significance A steady genetic improvement has been achieved through the selection based on the raw phenotype released by the OFA. As the heritability of the hip score was on the low end (0.21) of reported ranges, we propose that selection based on breeding values will result in more rapid genetic improvement than breeding based on phenotypic selection alone.
Mining Divergent Opinion Trust Networks through Latent Dirichlet Allocation

While the focus of trust research has been mainly on defining and modeling various notions of social trust, less attention has been given to modeling opinion trust. When speaking of social trust mainly homophily (similarity) has been the most successful metric for learning trustworthy links, specially in social web applications such as collaborative filtering recommendation systems. While pure homophily such as Pearson coefficient correlation and its variations, have been favorable to finding taste distances between individuals based on their rated items, they are not necessarily useful in finding opinion distances between individuals discussing a trending topic, e.g. Arab spring. At the same time text mining techniques, such as vector-based techniques, are not capable of capturing important factors such as saliency or polarity which are possible with topical models for detecting, analyzing and suggesting aspects of people mentioning those tags or topics. Thus, in this paper we are proposing to model opinion distances using probabilistic information divergence as a metric for measuring the distances between people's opinion contributing to a discussion in a social network. To acquire feature sets from topics discussed in a discussion we use a very successful topic modeling technique, namely Latent Dirichlet Allocation (LDA). We use the distributions resulting to model topics for generating social networks of group and individual users. Using a Twitter dataset we show that learned graphs exhibit properties of real-world like networks.
Hierarchical Shape Matching for Temporally Consistent 3D Video

In this paper we present a novel approach for temporal alignment of reconstructed mesh sequences with non-rigid surfaces to obtain a consistent representation. We propose a hierarchical scheme for non-sequential matching of frames across the sequence using shape similarity. This gives a tree structure which represents the optimal path for alignment of each frame in the sequence to minimize the change in shape. Non-rigid alignment is performed by recursively traversing the tree to align all frames. Non-sequential alignment reduces problems of drift or tracking failure which occur in previous sequential frame-to-frame techniques. Comparative evaluation on challenging 3D video sequences demonstrates that the proposed approach produces a temporally coherent representation with reduced error in shape and correspondence.
Designing a General Architecture to Support eGovernment

We propose a computer system that would support eGovernment activities, with emphasis in decision making, for a city, region, country or a supranational entity. We provide its high-level description, using UML as modeling language. First, we establish basic terminology in relation with eGovernment. Then, we carry out the general software architecture at design level. This architecture consists of the system decomposition in subsystems and databases, specifying all dependencies among them.