Miracle-dz/UniFAR-FTUs huggingface dataset:
Collaborative Caching in Wireless Video Streaming Through Resource Auctions

Recent advances in wireless communications and mobile networking have dramatically increased the popularity of multimedia services for mobile users, with wireless video streaming at their fingertips. To facilitate efficient acquisition of video content, proxy caching has been widely used by wireless service providers (WSPs), which typically deploy cache servers at mobile switching centers (MSCs). However, capacity provisioning of cache servers is challenging, given the dynamic user demands and the limited cache server resources. With increased densities of wireless service deployment, it is increasingly common that mobile users are covered by more than one WSP within an area. This brings opportunities of a collaborative caching paradigm among the cache servers deployed at different MSCs. In this paper, we explore the benefits of collaborative caching in wireless streaming services, addressing both challenges of incentives and truthfulness of selfish WSPs. We propose a collaborative mechanism that maximizes the social welfare in the context of Vickrey-Clarke-Groves (VCG) auctions, in which cache servers cooperate in the trading of their resources in a self-enforcing manner. Experimental results demonstrate that superior performance can be achieved with respect to the quality of video streaming.
INTERESSES, DEMANDAS E VALOR PARA STAKEHOLDERS: UM ESTUDO BIBLIOGRÁFICO

A abordagem de stakeholders tem sido uma ferramenta poderosa para ampliar a visao dos gestores sobre seu papel e suas responsabilidades alem da maximizacao do lucro. Sendo assim o objetivo deste trabalho foi estudar, por meio de pesquisa bibliografica, como os conceitos de interesses, demandas e valor para stakeholders tem sido utilizados e relacionados entre si na literatura? Foi possivel perceber que o conceito de interesses para stakeholders geralmente sido tratado principalmente quanto ao conflito de interesses entre diferentes stakeholders, sua pluralidade e a busca das organizacoes para equilibrar interesses. Ja conceito de demandas dos stakeholders apresentou-se frequentemente junto aos conceitos de Corporate Social Responsibility (CSR) e/ou com Corporate Social Performance (CSP). O conceito de valor para stakeholders se mostra nao muito explorado empiricamente. Quanto a relacao entre os conceitos, foi possivel perceber uma ligacao entre a satisfacao dos interesses dos stakeholders e a criacao de valor para os mesmos.
The Design and Application of Xen-based Host System Firewall and its Extension

This paper firstly introduces in brief the current status of research and applications of virtualization technology (VT) and then presents a new method of building a bridge firewall based on Xen and developing independent extension of firewall for special purpose to supervise the host and guest system to enhance the computer system security. In addition, this paper also provides the test for the functions and performance of firewall extension and analyzes the outcomes.
Brain Computer Interface Based Real Time Control of Wheelchair Using Electroencephalogram

In this study, eight electrodes were to capture Electroencephalogram (EEG) from the brain to build a brain computer interface (BCI) based real time control for wheelchair to help the severely handicapped persons. To achieve this goal Wavelet Packet Transform (WPT) was used for feature extraction of the relevant frequency bands from EEG signals. Radial Basis Function network was used to classify the pre defined movements such as rest, forward, backward, left and right of the wheelchair. The experiment results confirmed that this system can provide a convenient manner to real time control a wheelchair.
A simulation study on dropping tendencies of an ad-hoc wireless network

This paper aims to study and analyze lost packet tendencies for ad hoc wireless networks. Lost packets greatly influence all performance aspects of such a network. Moreover, lost or drop packets are directly involved in many active research fields concerning ad hoc network nowadays. Accordingly, investigating the various kinds of packets dropped more frequently in conjunction with critical network parameters, can result in very usefully conclusions. These conclusions can give new insights in designing new protocols and more importantly in cross-layer designs in order to enhance the performance of the whole network.
Image sources separation for color mixtures

In this paper, we have a mixture of two added images and it is required to separate the two image sources from the combined one after receiving the combined image and one of the two source images. The Discrete Wavelet Transform (DWT) is applied on the combined image. Also, it is applied on the corrupted and received image source. The high frequency components of the combined image and the image source are correlated. The result of correlation is used in classifying the pixel whether belongs to image source or zero. The experiment is applied on the other image source and the combined image. The performance is measured and compared to a recent paper in the same topic and the proposed method is proved to have better results than the results of the recent paper. In the recent paper, the color mixture is not considered, it is considered in our work and gave very good results.
Using early antipsychotic response to predict treatment outcome in patients with first-episode psychosis

Antipsychotic medications are highly effective in the treatment of patients experiencing first-episode psychosis. However, some patients do not respond to the first antipsychotic medication they are given, and may require trials of several drugs before an effective treatment is found. While antipsychotics may take months to achieve their full effect, recent evidence suggests that it is possible to predict whether a patient will respond to a particular drug by assessing early response after as little as 2 weeks of treatment. Assessing early antipsychotic response has the potential to improve treatment strategies for psychotic patients, but there is still a great deal of uncertainty about what early response can and cannot predict, and how the predictive value of early response differs among drugs and patient populations. The work presented in this thesis addresses some of the most pressing questions about early antipsychotic response in several samples of antipsychotic-naive patients with firstepisode psychosis. This work demonstrates that: (1) the appropriate time point at which to assess early response differs between antipsychotic drugs; (2) early improvement in depressive and manic symptoms predicts treatment outcome, while early improvement in anxiety symptoms may not; (3) strong early response is associated with decreased rates of extrapyramidal side-effects; (4) early antipsychotic response can predict long-term treatment outcome at least 2 years after treatment initiation;
Adult Tea Green Leafhoppers, Empoasca onukii (Matsuda), Change Behaviors under Varying Light Conditions

Insect behaviors are often influenced by light conditions including photoperiod, light intensity, and wavelength. Understanding pest insect responses to changing light conditions may help with developing alternative strategies for pest control. Little is known about the behavioral responses of leafhoppers (Hemiptera: Cicadellidae) to light conditions. The behavior of the tea green leafhopper, Empoasca onukii Matsuda, was examined when exposed to different light photoperiods or wavelengths. Observations included the frequency of locomotion and cleaning activities, and the duration of time spent searching. The results suggested that under normal photoperiod both female and male adults were generally more active in darkness (i.e., at night) than in light. In continuous darkness (DD), the locomotion and cleaning events in Period 1 (7:00–19:00) were significantly increased, when compared to the leafhoppers under normal photoperiod (LD). Leafhoppers, especially females, changed their behavioral patterns to a two day cycle under DD. Under continuous illumination (continuous quartz lamp light, yellow light at night, and green light at night), the activities of locomotion, cleaning, and searching were significantly suppressed during the night (19:00–7:00) and locomotion activities of both females and males were significantly increased during the day (7:00–19:00), suggesting a shift in circadian rhythm. Our work suggests that changes in light conditions, including photoperiod and wavelength, can influence behavioral activities of leafhoppers, potentially affecting other life history traits such as reproduction and development, and may serve as a method for leafhopper behavioral control.
Robust and real-time traffic light recognition based on hierarchical vision architecture

`Circle' and `arrow' traffic lights are both common at intersections in urban road environment. However, existing purely vision based systems are only focus on either `circle' or `arrow' traffic light recognition, which limits their real-world application. In this paper, A novel robust and real-time traffic light recognition system based on hierarchical vision architecture is carefully designed. The system first learns a joint color space filter in normalized RGB and HSI color space to automatically select the traffic light candidate regions with connected component analysis, then detects traffic lights in the image neglecting the direction information with Multi-layer Histogram of Oriented Gradients (MHOG) feature, at last, it determines the direction information with the traditional Histogram of Oriented Gradients (HOG) feature extracted from the light-emitting unit and linear SVM classifiers. Experimental results show that the whole system can provide high recognition rate, and it can provide robust and real-time decision support for the intelligent vehicle.
Learning Bayesian Networks: A MAP Criterion for Joint Selection of Model Structure and Parameter

For learning Bayesian Network (BN) structures, it has become common practice to use the Bayesian Dirichlet (BD) scoring criterion. In contrast to most other scoring metrics that functionally can be interpreted as regularized maximum likelihood criteria, the BD metric cannot be considered as such. The functional dissimilarity of the BD metric compared to other metrics is an obstacle from an analytical point of view; this is for instance becomes clear in the context of the structural EM algorithm for learning BNs from incomplete data. Also, it is not easy to pin-point why exactly and to what extend regularization is taken care of by applying the BD metric. We introduce a Bayesian scoring criterion that is closely related to the BD metric, but solves the obvious disadvantages of the BD metric. We arrive at this result by using the same basic assumptions as for the BD metric, but in contrast to the BD metric, where focus is on learning the model structure only, we aim at learning the most probable BN pair jointly, i.e., model structure and the parameter are selected as a pair. This approach yields a scoring metric that has the functional form of a regularized maximum likelihood metric. We perform experiments, and show that this MAP BN metric also yields better results than the BIC and BD metrics on independent test data.
Identity Protection in Sequential Releases of Dynamic Networks

Social networks model the social activities between individuals, which change as time goes by. In light of useful information from such dynamic networks, there is a continuous demand for privacy-preserving data sharing with analyzers, collaborators or customers. In this paper, we address the privacy risks of identity disclosures in sequential releases of a dynamic network. To prevent privacy breaches, we proposed novel kw-structural diversity anonymity, where k is an appreciated privacy level and w is a time period that an adversary can monitor a victim to collect the attack knowledge. We also present a heuristic algorithm for generating releases satisfying kw-structural diversity anonymity so that the adversary cannot utilize his knowledge to reidentify the victim and take advantages. The evaluations on both real and synthetic data sets show that the proposed algorithm can retain much of the characteristics of the networks while confirming the privacy protection.
Food borne bacterial models for detection of benzo[a]pyrene‐DNA adducts formation using RAPD‐PCR

Random amplified polymorphic DNA (RAPD) PCR is a feasible method to evaluate genotoxin‐induced DNA damage and mutations. In this study, Lactobacillus plantarum ATCC 14917T, Enterococcus faecium DSMZ 20477T, Escherichia coli PQ37 and Saccharomyces cerevisiae S441 were screened for DNA genetic alterations by DNA fingerprinting using M13 and LA1 primers after treatment with three compounds forming covalent adducts with DNA [benzo[a]pyrenediol epoxide (BPDE), methyl methanesulfonate and 1,2,3,4‐diepoxybutane (DEB)]. M13 RAPD fingerprinting revealed that the total number of bands decreased in all treated DNA compared to control samples and generally the lost bands were characterized by high molecular weight. Some extra bands were detected for L. plantarum and E. faecium, while in E. coli and S. cerevisiae DNAs BPDE and DEB treatments did not result in new extra bands. Besides qualitatively analysis, cluster analysis based on Unweighted Pair‐Group Method with Average algorithm was performed to compare DNA fingerprints before and after treatments. This analysis confirmed the absence of significant differences between negative controls and treated DNA in S. cerevisiae and E. coli however the disappearance of some bands can be detected. The data indicate that this approach can be used for DNA damage detection and mutations induced by genotoxic compounds and highlighted the possible use of L. plantarum and E. faecium M13 based fingerprinting as reference for hazard identification in risk assessment.
Tolerogenic vaccines for Multiple Sclerosis

Tolerogenic vaccines represent a new class of vaccine designed to re-establish immunological tolerance, restore immune homeostasis, and thereby reverse autoimmune disease. Tolerogenic vaccines induce long-term, antigen-specific, inhibitory memory that blocks pathogenic T cell responses via loss of effector T cells and gain of regulatory T cell function. Substantial advances have been realized in the generation of tolerogenic vaccines that inhibit experimental autoimmune encephalomyelitis in a preclinical setting, and these vaccines may be a prequel of the tolerogenic vaccines that may have therapeutic benefit in Multiple Sclerosis. The purpose here is to provide a snapshot of the current concepts and future prospects of tolerogenic vaccination for Multiple Sclerosis, along with the central challenges to clinical application.
Side Effects of Vincristine and L-Asparaginase in Patients with Acute Lymphoblastic Leukemia in a Mexican Pediatric Hospital

Background: The treatment used to combat acute lymphoblastic leukemia (ALL) is multidrug; therefore it is important to use active pharmacovigilance to detect, assess and analyze the likely adverse reactions which may occur during the same period. Objective: To determine the frequency of adverse reactions to chemotherapeutic drugs in children with ALL. Material and Methods: Intensive pharmacovigilance was used to record the reports of adverse reactions to vincristine, L-asparaginase and the vincristine-L-asparaginase combination in children with ALL in a paediatric hospital. For each notification, the adverse reactions were analyzed in order to verify causality. Results: Forty patients were evaluated. Twenty children were female (50.0%) and 20 were male (50%). The children had a mean age, weight and height (±standard deviation: SD) of 8.1 (±3.4) years, 31.4 (±13.9) kg and 1.3 (±0.2) m, respectively. Vincristine was administered to 19 patients, vincristine plus L-asparaginase were given to 19 patients and only 2 patients used L-asparaginase. One-hundred-ninety adverse reactions were detected in the patients, with an average (±SD) of 4.8 (±2.6). Ondansetron was the drug administered for the treating of nausea and vomiting. One hundred eighty-one (95.3%) adverse reactions were identified as “definite”, 5 (2.6%) as “probable” and 4 (2.1%) as “doubtful”. Conclusions: There is a high incidence of adverse reactions by the administration of vincristine and L-asparaginase; the reactions of highest incidence were: nausea, vomiting, neutropenia, diarrhea, constipation, mucositis, headache, and abdominal pain. It is important to promote the detection, collection, reporting, assessment and treatment of ARD’s in children. It is necessary to promote the conduct further studies on pharmacovigilance with this type of treatments and to increase the duration of the studies.
A novel condenser fault diagnosis method based on KPCA and multiclass SVMs

A novel fault diagnosis method of condenser based on kernel principle component analysis (KPCA) and multi-class support vector machines (MSVMs) is proposed in this paper. KPCA is applied to MSVMs for feature extraction. It firstly maps data from the original input space into high dimensional feature space via nonlinear kernel function and then extract optimal feature vector as the inputs of MSVMs to solve condenser fault classification problems. A global optimizer, particle swarm optimizer (PSO), is employed to optimize the parameters of MSVMs to improve fault classification accuracy. The experimental results show that the proposed approach can effectively capture the nonlinear relationship among variables and improve the accuracy of fault diagnosis.
A Various Load Balancing Techniques and Challenges in Cloud Computing - Survey

Cloud computing is a virtualization of cloud program through internet connection, in which there is no need of installing application on everywhere. In cloud computing applications are provided and managed by the cloud provider. Cloud users may access the resources through computer notebook, smart phone or other devices, so they can store data on servers and can access data through Internet. It offers the facility of pay per use to their customers. In cloud computing, clients are demanding more services so for that load balancing of resourcing must be required. Load occurs when the number of job increases. The load can be a memory, CPU capacity, network, or delay load. Load balancing ensures that all the processors in the system do equal amount of work to make the best response time and also good utilization of the resources. Load balancing can be achieved by maximizing throughput or by minimizing response time. In this paper, it describes a survey on load balancing schemes in cloud environment. There are various load balancing techniques used in this paper and their corresponding performance metrics, advantages and disadvantages are studied. These scheduling algorithms focus on response time, make span, execution time and throughput as evaluation parameters.
Body-wave interferometry using multi-dimensional deconvolution after wavefield decomposition at free surface

Passive seismic methods using earthquakes can be applied for extracting body waves and obtaining information of subsurface structure. To analyze earthquake data, one traditionally uses receiver functions, tomography, and seismic interferometry. In this study, we retrieve reflected body waves by applying seismic interferometry to the recorded ground motion from a cluster of earthquakes. We employ upgoing/downgoing P/S wavefield decomposition, time windows, time reversal, and multi-dimensional deconvolution to improve the quality of the extraction of reflected body waves with seismic interferometry. The wavefield separation and seismic interferometry based on multi-dimensional deconvolution (MDD) allow us to reconstruct PP, PS, SP, and SS reflected waves without unwanted crosstalk between P and S waves. From earthquake data, we obtain PP, PS, and SS reflected plane waves that reflect off the same reflector, and estimate Pand S-wave velocities.
The Impacts Of Free Trade Agreements On Trade Flows: An Application Of The Gravity Model Approach

The proliferation of FTAs appears to have affected economic conditions in many countries through foreign trade. We attempt to discern the impacts of FTAs on foreign trade by using two approaches. One approach is to examine the changes in trade patterns before and after an FTA by using indicators of intra-FTA interdependence. The second approach is the estimation of a gravity equation to discern the impacts of FTAs on bilateral trade flows, i.e. trade creation and diversion effects. In the latter approach we extend the previous studies by enlarging the sample size in terms of the time-period, and also undertake an analysis by disaggregating the trade data with a presumption that the impact of FTAs is different for different sectors. The results of the analysis revealed several interesting observations. Our analysis of the total trade indicates that FTAs bring about trade creation effect and that trade diversion effect is limited. Besides, the results of our analysis of disaggregated trade data show different patterns among different products, and they identify trade diversion effect for many products in the case of the EU, the NAFTA, and the MERCOSUR but not for the case of the AFTA.
A File System Interface to the Internet

Nearly all computers today have access to Internet resources. However, the access of these resources typically requires specialized client programs. Therefore, users are forced to employ di erent tools when working with Internet resources than with local resources. This paper describes a system of user-level transformations for the Modify-on-access le system that map the local le system onto four di erent Internet resources. This allows all tools seamless access to the Internet through the le system interface. We also show that the standard Unix le system interface is suÆcient to provide access to most of the resources on the Internet. Furthermore, this paper argues that accessing Internet resources through the le system o ers advantages to both users and application programmers.
Toxicological assessment of a prototype e-cigaret device and three flavor formulations: a 90-day inhalation study in rats

Abstract A prototype electronic cigaret device and three formulations were evaluated in a 90-day rat inhalation study followed by a 42-day recovery period. Animals were randomly assigned to groups for exposure to low-, mid- and high-dose levels of aerosols composed of vehicle (glycerin and propylene glycol mixture); vehicle and 2.0% nicotine; or vehicle, 2.0% nicotine and flavor mixture. Daily targeted aerosol total particulate matter (TPM) doses of 3.2, 9.6 and 32.0 mg/kg/day were achieved by exposure to 1 mg/L aerosol for 16, 48 and 160 min, respectively. Pre-study evaluations included indirect ophthalmoscopy, virology and bacteriological screening. Body weights, clinical observations and food consumption were monitored weekly. Plasma nicotine and cotinine and carboxyhemoglobin levels were measured at days 28 and 90. After days 28, 56 and 90, lung function measurements were obtained. Biological endpoints after 90-day exposure and 42-day recovery period included clinical pathology, urinalysis, bronchoalveolar fluid (BALF) analysis, necropsy and histopathology. Treatment-related effects following 90 days of exposure included changes in body weight, food consumption and respiratory rate. Dose-related decreases in thymus and spleen weights, and increased BALF lactate dehydrogenase, total protein, alveolar macrophages, neutrophils and lung weights were observed. Histopathology evaluations revealed sporadic increases in nasal section 1–4 epithelial hyperplasia and vacuolization. Following the recovery period, effects in the nose and BALF were persistent while other effects were resolved. The no observed effect level based upon body weight decreases is considered to be the mid-dose level for each formulation, equivalent to a daily TPM exposure dose of approximately 9.6 mg/kg/day.