Miracle-dz/UniFAR-FTUs huggingface dataset:
Multi-path Routing and Stream Scheduling with Spatial Multiplexing and Interference Cancellation in MIMO Networks

In MIMO networks, there are two transmission strategies, SM (spatial multiplexing) and IC (interference cancellation). The use of SM and IC brings additional complexity for routing and transmission scheduling of the links. Almost all existing works on throughput optimization for MIMO systems are based on the assumption that traffic routing is given and they focus only on stream scheduling, where the performance of the system is limited. In this work, we study the joint optimization problem of routing and stream scheduling for MIMO networks, where the traffic is allowed to be routed through multiple paths to take benefit from concurrent transmissions. The problem is first formulated as an Integer Linear Programming (ILP) problem, and solved optimally by using the column generation approach. An efficient online heuristic algorithm for multi-path routing and stream scheduling with dynamic traffic load is then proposed based on the column generation approach. Extensive simulation results have been conducted to demonstrate the efficiency of the proposed algorithms.
CATEGORIZATION USING k-NEAREST NEIGHBOR CLASSIFICATION

This paper introduces a document organization application of text categorization, using k-Nearest Neighbor (k-NN) classification. The method makes use of training documents, which have known categories, and finds the closest neighbors of the new sample document among all. These neighbors enables to find the new document's category. The solution involves a similarity function in finding the confidence of a document to a previously known category.
STS: Space-time scheduling for coordinating self-organization network functions in LTE

Self-Organizing Networks (SON) and a number of SO functions (SFs) have been proposed, e.g. in the LTE standard. Since SFs operate on the same network, adjusting the same set of parameters, conflicts arise. Mechanisms are thus required to resolve or minimize these conflicts. We propose Space-Time scheduling procedures that allow for separating the execution of SFs at different space and time points so as to minimize negative cross effects among the SFs. Using two Q-learning based SFs, our results show that the combined scheduling in space and time ensures that SFs learn optimal behaviors that are only due to their own actions and not the peers' actions. In doing so, they maintain good performance even within the shared environment.
Improved handling of the decoding operation in the Presto compiler

This thesis presents a research project on decoder related optimizations in HDL designs. The goal of the reasearch is to improve design synthesis quality-of-result, mainly in terms of area; this involves sharing decoders driven by related inputs, and map decoders using fewer number of boolean gates. Algorithms presented in this thesis were implemented in the Presto HDL compiler. A series of tests were conducted using real-world HDL designs in order to determine how effective these optimizations are. Thesis Supervisor: Karen Pieper Title: VI-A Company Thesis Supervisor Thesis Supervisor: Arvind, Johnson Professor Title: M.I. T. Thesis Supervisor
Dual Synchronization of Fractional-Order Chaotic Systems via a Linear Controller

The problem of the dual synchronization of two different fractional-order chaotic systems is studied. By a linear controller, we realize the dual synchronization of fractional-order chaotic systems. Finally, the proposed method is applied for dual synchronization of Van der Pol-Willis systems and Van der Pol-Duffing systems. The numerical simulation shows the accuracy of the theory.
Clustering-Based Spatio-Temporal Analysis of Big Atmospheric Data

This paper proposes a comprehensive approach for supporting clustering-based spatio-temporal analysis of big atmospheric data via specializing on the interesting applicative setting represented by Greenhouse Gas Emissions (GGEs), a relevant instance of Big Data that empathize the Variety aspect of the well-known 3V Big Data axioms. In particular, in our research we consider GGEs from three EU countries, namely UK, France and Italy. The deriving Big Data Mining model turns to be useful for decision support processes in both the governmental and industrial contexts.
Generated Traffic : Implications for Transport Planning

ITE JOURNAL / APRIL 2001 TRANSPORTATION PLANNERS often compare traffic to a fluid, assuming that a certain volume of vehicles must flow through the road system like water through a network of pipes. But in many situations urban traffic is more comparable to a gas, which expands to fill available space. Road improvements that reduce users’ travel costs tend to attract traffic from other routes, times and modes, and encourage longer and more frequent vehicle trips. This is called generated traffic, referring to increased vehicle traffic volumes at a particular time and location, including travel diverted from other times and routes. A portion of this additional traffic usually consists of induced travel, referring to increases in total vehicle trips and distance traveled, excluding diverted traffic.1 Induced travel is therefore a subcategory of generated traffic. This additional traffic reflects the economic “law of demand,” which states that consumption of a good usually increases as its price (consumers’ perceived costs) declines, all else being equal. Reducing congestion reduces the generalized cost of driving, thus encouraging more peak-period vehicle travel. To put this another way, most congested roads have latent travel demand: additional peak-period vehicle trips that will occur if congestion is relieved. Generated traffic has three different impacts to consider in transportation planning and project appraisal: 1. It reduces the congestion-reduction benefit that can result from increased road capacity. 2. It often increases external costs, such as downstream congestion, parking demand, uncompensated crash damages and environmental damages. This is particularly true of induced travel. 3. Since it consists of marginal value trips (vehicle travel consumers are most willing to shift or forego if their costs increase), consumer benefits from generated traffic tend to be modest. This is not to suggest that expanding roadway capacity provides no benefits, but generated traffic significantly affects the nature of these benefits. Ignoring generated traffic in transportation planning distorts transport decisions. This feature describes how generated traffic occurs, defines different types of generated traffic, discusses their impacts and describes ways to incorporate generated traffic into transport planning and modeling.
System and method for recognizing human emotion state based on analysis of speech and facial feature extraction; applications to human-robot interaction

Humanoid robot and Artificial Intelligence make a proper mutual communication to interact with ordinary people. Advanced research in emotional interaction field will be based on the growing understanding, speech recognition and facial expression processes. Software specified for human-robot interaction needs to receive human emotions and optimize their behavior. In this paper, we report the results obtained from an exploratory study on software which automatically recognizes and classifies basic emotional states (sadness, surprise, happiness, anger, fear and disgust). The study consists of generating and analyzing the graphs of speech signals with using: pitch, intensity and formant properties of emotive speech. Indeed, facial feature extraction phase uses the mathematical formulation and measures a set of Action Units (AUs) for emotion classification. The efficiency of the methodology was evaluated by experimental tests on 300 individuals (150 females and 150 males, 20 to 48 years old) multi-ethnic groups, namely: (i) European, (ii) Asian Middle East and (iii) American. In the light of the experiments, the accuracy of the proposed model for emotional detection time was calculated 2.53 s as we defined primarily more distinct boundaries between emotions to classify features in a set of basic emotions.
The Flow of Knowledge in Free and Open Source Communities

In this paper we present a survey of the methods used by a selection of successful free andopen source projects to exchange, store and retrieve knowledge. In particular, we look into mailing lists, Internet Relay Chat, conferences, and code reviews. We explore how historical records left during the development become stored knowledge that can be subsequently retrieved. We also discuss the existence of meta-communities (composed of members of different communities) that allow knowledge to flow fromone community to another.
Search word suggestion conversation agent of user experience based on improvement of smart phone usability

Nowadays, effort to find judge of value in smart phone move ahead more than existing PC environment as smart phones have been propagated rapidly. This research is to provide a better environment to help user obtain a value judgment on the use of the search services to users in mobile devices such as smart phone. Recent research trends had focused on a technical problem without regard to user experience such as (mobility, size of screen, constraint condition) inconvenience elements of mobile devices. Presentation type dialog engine that does not require many inputs to user reduces discomfort such as existing environmental problems and a series of information processing time it takes until query is suggested. For efficient search, this research proposes “question and answer system based on keyword in smart phone” to be able to improve search performance by utilizing use of semantic.
A behavioral study of the nature of verb–noun dissociation in the nonfluent variant of primary progressive aphasia

ABSTRACT Background: Patients with nonfluent/agrammatic variant primary progressive aphasia (nfvPPA) have more difficulty producing verbs than nouns, but the reason for this discrepancy remains unclear. One possibility is that it results from impaired access to motor programs integral to semantic representations of actions. Another is that the disruption affects specific lexical or grammatical features of verbs. Aims: To use an oral picture naming task to examine the effects of motor associations on verb production in patients with nfvPPA. Methods & Procedures: We administered noun and verb naming tasks to 12 nfvPPA patients and 9 controls. We varied the manipulability of target items across categories as a proxy for the degree to which lexical access depends on motor knowledge. Outcomes & Results: Nonfluent PPA patients were significantly more impaired in both noun and verb naming compared to control participants. However, the nfvPPA patients were significantly more impaired in naming verbs than nouns, but there was no effect of manipulability. Conclusions: The results suggest that the verb naming deficit in nfvPPA is not directly related to impaired motor knowledge and is more likely to be related to other properties that distinguish verbs from nouns.
Evaluation of DNA Binding, Cleavage, and Cytotoxic Activity of Cu(II), Co(II), and Ni(II) Schiff Base Complexes of 1-Phenylindoline-2,3-dione with Isonicotinohydrazide

One new series of Cu(II), Co(II), and Ni(II) Schiff base complexes was prepared through the condensation reaction between 1-phenylindoline-2,3-dione with isonicotinohydrazide followed by metalation, respectively. The Schiff base ligand(L), (E)-N′-(2-oxo-1-phenylindolin-3-lidene)isonicotinohydrazide, and its complexes were found soluble in DMF and DMSO solvents and characterized by using the modern analytical and spectral techniques such as elemental analysis, conductivity, magnetic moments, IR, NMR, UV-visible, Mass, CV, and EPR. The elemental analysis data of ligand and their complexes were well agreed with their calculated values in which metal and ligand stoichiometry ratio 1 : 2 was noted. Molar conductance values indicated that all the complexes were found to be nonelectrolytes. All the complexes showed octahedral geometry around the central metal ions. Herein, we better characterized DNA binding with the complexes by UV-visible and CD spectroscopy and cyclic voltammetry techniques. The DNA cleavage experiments were carried out by Agarose gel electrophoresis method and the cytotoxicity experiments by MTT assay method. Based on the DNA binding, cleavage, and cytotoxicity studies, Cu and Ni complexes were found to be good anticancer agents against AGS-human gastric cancer cell line.
Fiber optic sensors based on hybrid phenyl-silica xerogel films to detect n-hexane: determination of the isosteric enthalpy of adsorption

We investigated the response of three fiber optic sensing elements prepared at pH 10 from phenyltriethoxysilane (PhTEOS) and tetraethylsilane (TEOS) mixtures with 30, 40, and 50% PhTEOS in the silicon precursor mixture. The sensing elements are referred to as Ph30, Ph40 and Ph50, respectively. The films were synthesized by the sol–gel method and affixed to the end of optical fibers by the dip-coating technique. Fourier transform infrared spectroscopy, N2 adsorption–desorption at 77 K and X-ray diffraction analysis were used to characterize the xerogels. At a given pressure of n-hexane, the response of each sensing element decreased with temperature, indicating an exothermic process that confirmed the role of adsorption in the overall performance of the sensing elements. The isosteric adsorption enthalpies were obtained from the calibration curves at different temperatures. The magnitude of the isosteric enthalpy of n-hexane increased with the relative response and reached a plateau that stabilized at approximately −31 kJ mol−1 for Ph40 and Ph50 and at approximately −37 kJ mol−1 for Ph30. This indicates that the adsorbate–adsorbent interaction was dominant at lower relative pressure and condensation of the adsorbate on the mesopores was dominant at higher relative pressure.
The influence of socio-demographic factors, treatment perceptions and attitudes to living donation on willingness to consider living kidney donor among kidney transplant candidates.

BACKGROUND Living donor, compared with cadaveric donor kidney transplantation, is associated with prolonged graft survival and increased life expectancy for patients with end-stage renal disease (ESRD). However, access to living donor transplantation remains variable. Our objective was to further our understanding of the factors associated with the willingness to consider living donor kidney transplant (LDKTx). METHODS All patients from two tertiary care hospitals being assessed for a LDKTx (n = 81), and a random sample of patients on the waiting list for a cadaveric kidney transplant (CDKTx, n = 133) were invited to participate. A mail survey assessed participants' socio-demographic characteristics, and perceptions of dialysis, CDKTx and LDKTx. Multivariable logistic regression was used to assess the influence of these factors on willingness to consider LDKTx. RESULTS Adjusting for patient age, employment status and number of close relatives, willingness to consider an LDKTx was independently associated with a lower perceived risk of peri-operative complications to the donor (adjusted OR 3.59, P = 0.02), the perception that the recipient would live longer following living donor transplantation (adjusted OR 4.34, P = 0.003) and greater perceived appropriateness of asking a family member to donate a kidney (adjusted OR 5.06, P = 0.007). CONCLUSION Among the ESRD patients studied, adjusting for key factors that may be associated with access to LDKTx, perceptions about risks to the donor and benefits to the recipient were independently associated with a willingness to consider LDKTx as a treatment option. Provision of standardized comprehensible information about all treatment options to patients with ESRD may improve acceptance rates for living donor transplantation.
Molecular mimicry and immune‐mediated diseases

Molecular mimicry has been proposed as a pathogenetic mechanism for autoimmune disease, as well as a probe useful in uncovering its etiologic agents. The hypothesis is based in part on the abundant epidemiological, clinical, and experimental evidence of an association of infectious agents with autoimmune disease and observed cross‐reactivity of immune reagents with host ‘self’ antigens and microbial determinants. For our purpose, molecular mimicry is defined as similar structures shared by molecules from dissimilar genes or by their protein products. Either the molecules' linear amino acid sequences or their conformational fits may be shared, even though their origins are as separate as, for example, a virus and a normal host–self determinant. An immune response against the determinant shared by the host and virus can evoke a tissue‐specific immune response that is presumably capable of eliciting cell and tissue destruction. The probable mechanism is generation of cytotoxic cross‐reactive effector lymphocytes or antibodies that recognize specific determinants on target cells. The induction of cross‐reactivity does not require a replicating agent, and immune‐mediated injury can occur after the immunogen has been removed—a hit‐and‐run event. Hence, the viral or microbial infection that initiates the autoimmune phenomenon may not be present by the time overt disease develops. By a complementary mechanism, the microbe can induce cellular injury and release self antigens, which generate immune responses that cross‐react with additional but genetically distinct self antigens. In both scenarios, analysis of the T cells or antibodies specifically engaged in the autoimmune response and disease provides a fingerprint for uncovering the initiating infectious agent. —Oldstone, M. B. A. Molecular mimicry and immune‐mediated diseases. FASEB J. 12, 1255–1265 (1998)
Landscape Epidemiology and Control of Pathogens with Cryptic and Long-Distance Dispersal: Sudden Oak Death in Northern Californian Forests

Exotic pathogens and pests threaten ecosystem service, biodiversity, and crop security globally. If an invasive agent can disperse asymptomatically over long distances, multiple spatial and temporal scales interplay, making identification of effective strategies to regulate, monitor, and control disease extremely difficult. The management of outbreaks is also challenged by limited data on the actual area infested and the dynamics of spatial spread, due to financial, technological, or social constraints. We examine principles of landscape epidemiology important in designing policy to prevent or slow invasion by such organisms, and use Phytophthora ramorum, the cause of sudden oak death, to illustrate how shortfalls in their understanding can render management applications inappropriate. This pathogen has invaded forests in coastal California, USA, and an isolated but fast-growing epidemic focus in northern California (Humboldt County) has the potential for extensive spread. The risk of spread is enhanced by the pathogen's generalist nature and survival. Additionally, the extent of cryptic infection is unknown due to limited surveying resources and access to private land. Here, we use an epidemiological model for transmission in heterogeneous landscapes and Bayesian Markov-chain-Monte-Carlo inference to estimate dispersal and life-cycle parameters of P. ramorum and forecast the distribution of infection and speed of the epidemic front in Humboldt County. We assess the viability of management options for containing the pathogen's northern spread and local impacts. Implementing a stand-alone host-free “barrier” had limited efficacy due to long-distance dispersal, but combining curative with preventive treatments ahead of the front reduced local damage and contained spread. While the large size of this focus makes effective control expensive, early synchronous treatment in newly-identified disease foci should be more cost-effective. We show how the successful management of forest ecosystems depends on estimating the spatial scales of invasion and treatment of pathogens and pests with cryptic long-distance dispersal.
Locality Preserving Hashing Method for Image Retrieval

Binary hashing is widely used in efficient similarity computing for image/video search. In this work, we propose a Locality Preserving Hashing (LPH) method to improve the image retrieval performance, we first project high-dimensional feature space into low dimension using locality preserving method, in which the locality properties can be well maintained, then binaries the low-dimensional feature into binary index code using a heuristic projection strategy; in retrieval stage, we compute the Hamming distance of the cell indices by implementing XOR and bit-count operations, obtain the similarity result and finally get the target images. We evaluate the algorithm on four public image datasets and compare it with some popular methods, and the experimental results show the validity of our proposed method.
A smoothing algorithm for time slicing DVB-H video transmission with bandwidth constraints

DVB-H transmission is assuming an ever growing importance for multimedia data delivery to hand-held terminals of reduced size and limited battery capacities. To minimize terminals power consumption, DVB-H systems adopt a time sliced transmission in bursts. In such a context, in this paper a new smoothing algorithm, the Smoothing Algorithm of the Burst (SAB), suitable for the transmission of multimedia streams with high bit rate variability, has been proposed and analyzed. Such an algorithm takes into account receiving buffer size, burst size and available bandwidth variability to reschedule data transmission, with the target to minimize the percentage of loss due to bandwidth and buffer limitations. Numerical results obtained by simulation show the improved performance of SAB compared with the usual unsmoothed data transmission in bursts. SAB can thus be utilized to transmit video streams with higher bit rate and better quality than actually considered in DVB-H systems.
Vínculos de apego en niños víctimas de la violencia intrafamiliar.

The objective of this investigation was to describe attachment relation that children who are victims of active or passive domestic violence establish with the people around them. The study was done with a sample of 27 children between the ages of 9 and 12, who live in sectors of levels 1 and 2 in Barranquilla. The Grounded Theory method of Glasser & Strauss (1967) was chosen for this investigation, and it was useful for establishing postures from the children’s interpretations of their attachment relation with their parents, caregivers or other people of their environment. Following these guidelines, a semi-structured interview was designed. It contained four categories of analysis: Con ﬁ dence, Comprehension of Feelings, Intimacy and Availability. The results determined, in ﬁ rst instance, the active presence of different people and contexts in the life of these children that go beyond the nuclear family. These subsidiary ﬁ gures, like grandparents, uncles, cousins, brothers or sisters who play parental roles, friends, neighbors, and teachers, among others, are perceived as people who help them create a self-image, offer affection and con ﬁ dence and look out for them. They help to mitigate the basic de ﬁ ciencies of an inadequate relationship with parents. It was also found that children who were victims of active domestic violence perceive a greater rejection from their main caregivers than victims of passive domestic violence. This fact is related to a greater search for acceptance and demonstration of their worthiness from other ﬁ gures, such as their friends or other adults
Veterinary Epidemiology: An Introduction

Preface. Acknowledgements. 1 Introduction. 2 General epidemiological concepts. 3 Quantifying disease occurrence. 4 Designing epidemiological studies. 5 Measuring effects. 6 Considering error and cause--effect. 7 Sampling of animal populations. 8 Interpreting diagnostic tests. 9 Informing disease control and eradication. References. Index.