Miracle-dz/UniFAR-FTUs huggingface dataset:
Performance comparison of TCP NewReno and Vegas for IEEE 802.11e in multihop wireless networks

As wireless local area networks (WLAN) become ubiquitous and an integral part of data networks, they will also be increasingly used for applications ranging from standard Internet services like ftp to time bound multimedia applications, such as Voice (or Video) over IP (VoIP/VIP), HDTV etc. with strict latency, throughput or jitter restrictions. These applications on WLAN will also be more bandwidth and QoS demanding. Earlier versions of 802.11, and its variants used in WLAN deployment, did not have provisions for such QoS features. In order to minimize redesign in medium access control (MAC) protocol, QoS support has been incorporated in 802.11e that has provision to map QoS metric into existing 802.11 MAC parameters for priority assignment and fair scheduling. In this paper, we investigate the performance of TCP NewReno and Vegas in static multihop wireless network over AODV routing protocol and evaluate it over MAC protocol IEEE 802.11e. Throughput has been quantitatively evaluated for various network topologies such as chain, cross and grid using network simulator NS-2.29. Simulation results show that IEEE 802.11e with TCP Vegas over AODV can be used as one of the strong candidate for real time multimedia applications such as voice or video over IP in WLAN.
RXTE–PCA observations of XMMU J054134.7−682550

We analysed Rossi X-ray Timing Explorer Proportional Counter Array observations of a recent outburst of the X-ray pulsar XMMU J054134.7? 682550. We calculated the pulse frequency history of the source. We found no sign of a binary companion. The source spins up when the X-ray flux is higher, with a correlation between the spin-up rate and X-ray flux, which may be interpreted as a sign of an accretion disc. On the other hand, the source was found to have an almost constant spin frequency when the X-ray flux is lower without any clear sign of a spin-down episode. The decrease in pulsed fraction with decreasing X-ray flux was interpreted as a sign of accretion geometry change, but we did not find any evidence of a transition from accretor to propeller regimes. The source was found to have variable pulse profiles. Two peaks in pulse profiles were usually observed. We studied the X-ray spectral evolution of the source throughout the observation. Pulse-phase-resolved analysis does not provide any further evidence for a cyclotron line, but may suggest a slight variation of intensity and width of the 6.4 keV iron line with phase.
Non-Cohen Oracle C.C.C.

Abstract The oracle c.c.c. is closely related to Cohen forcing. During an iteration we can “omit a type”; i.e. preserve “the intersection of a given family of Borel sets of reals is empty” provided that Cohen forcing satisfies it. We generalize this to other cases. In Section 1 we replace Cohen by “nicely” definable c.c.c. , do the parallel of the oracle c.c.c. and end with a criterion for extracting a subforcing (not a complete subforcing, ) of a given nicely one and satisfying the oracle.
Improving the Eciency of Parsing with Discontinuous Constituents

We discuss a generalization of Earley's algorithm to gram- mars licensing discontinuous constituents of the kind proposed by the so- called linearization approaches in Head-Driven Phrase Structure Gram- mar. We show how to replace the standard indexing on the string posi- tion by bitmasks that act as constraints over possible coverage bitvectors. This improves eciency of edge access and reduces the number of edges by constraining prediction to those grammar rules which are compatible with known word order properties. The resulting parsing algorithm does not have to process the righthand side categories in the order in which they cover the string, and so a head-driven strategy can be obtained simply by reordering the righthand side categories of the rules. The re- sulting strategy generalizes head-driven parsing in that it also permits the ordering of non-head categories.
A DKIM based Architecture for Combating Good Word Attack in Statistical Spam Filters

Kashefa Kowser.K, Saruladha.K, Packiavathy.M Abstract— Abuse of E-Mail by unwanted users causes an exponential increase of E-Mails in user mailboxes which is known as Spam. It is an unsolicited commercial E-mail or unsolicited bulk E-Mail produces huge economic loss to large scale organizations due to high network bandwidth consumption and heavy mail server processing overload. Statistical spam filters could be used to categorize incoming E-Mails into legitimate and spam but they are vulnerable to Good Word attack which obfuscates “good words” in spam messages to make it legitimate. This paper attempts for a counterattack strategy to eradicate insertion of good words by proposing architecture of enhanced DKIM (DomainKeys Identified Mail) as a solution. Our experimental result shows that DKIM serves to be the best as it incorporates sender evidence with random values in the E-Mail messages which is critical for the spammers to evade E-Mail filtering process. The misclassification of the spam E-Mail as legitimate E-Mail would reduce the performance of text classifiers. As the number of E-Mail increases, the misclassification percentage decreases by using DKIM
Some remarks on the thermal and vacuum fluctuations of a massive scalar field

Thermal fluctuations of a massive scalar field in the Rindler wedge have been recently obtained. As a by product, the Minkowski vacuum fluctuations seen by a uniformly accelerated observer have been determined and confronted with the corresponding Minkowski thermal fluctuations of the same field, seen by an inertial observer. Since some of the calculations of this previous work have not been detailed on it, and they present some important subtleties, they are explicitly done here. These subtleties have to do with the leading order behaviour of certain parameter dependent integrals. Some of the leading order expansions are derived using the Riemann-Lebesgue lemma.
Preparation and characterization of electrochromic polyaniline (PANi) thin films

Thin film of Polyaniline (PANi) was electrochemically deposited at constant potential of +0.75 V for 60 s. The surface morphology of the prepared thin film was imaged using Field Emission Scanning Electron Microscopy (FESEM). The electrochemical measurements such as electrochemical behavior and electrochemical stability were measured using Cyclic Voltammetry (CV) technique. The result showed that the thin film of PANi has good stability and reversibility. It was also found that the thin film was electroactive, well-adhered and not diffusion limited. The UV-Vis-Near IR spectra showed that the transmittance in the visible light region of the yellow colored LB (Vapplied = -0.4 V) was the highest with about 60% followed by green colored ES (Vapplied = +0.3V) with nearly 50% transmittance and blue colored EB (Vapplied = +0.8 V) with about 30% transmittance. The spectra also revealed that the green colored ES has low transmittance of IR radiation while allows fairly enough visible light to get through (about 50% transmittance). The film is a promising material for electrochromic devices because of its good adhesion, transparency, electrochromism and low IR transmittance.
Performance of uncooled 1.3 [mu]m FP and DFB lasers in hybrid fiber-coax (HFC) networks

The purpose of this thesis was to investigate the performance of uncooled 1.3 [ m lasers in the temperature range of -40' C to 850 C when used for QPSK transmission in HFC networks. Both Fabry-Perot (FP) and distributed feedback (DFB) lasers were studied. Two different optical packages, one with an optical isolator and one without, were investigated. The variations of laser electro-optical characteristics and their effects on QPSK transmission were measured as the temperature was varied. Both FP and DFB lasers have a wide range of optical modulation index (OMI) for which error free QPSK transmission was observed. DFB lasers are more sensitive to reflections from the fiber than FP lasers. When an optical isolator was used, the error free transmission range of the lasers was improved by at least 15 dB. The signal to noise ratio (SNR) for the system changed by as much as 2 dB over the temperature range from -400 C to 25 C, and changed by as much as 9.7 dB over the temperature range from 25 C to 85 o Thesis Supervisor: Cardinal Warde Title: Professor, MIT EECS Table of
A Hierarchy-of-Effects Approach to Designing a Social Marketing Game

ABSTRACT While there is great enthusiasm and interest by social marketers for games as a social marketing intervention, there is little evidence of the impact of these games. This research seeks to fill this gap by testing a theoretical model based on the experiential hierarchy of effects. An online game about the physiological effects of drinking was designed for high-school students and implemented in an educational curriculum with 223 participants (96% response rate) completing an online survey. The data was analyzed using structural equation modeling (SEM) and showed support for nine of the eleven hypotheses. The results show game characteristics of enjoyment (feel), knowledge (learn), and challenge (do) significantly related to attitudes and moderate-drinking behavioral intentions, ability to control drinking, and awareness of the physical consequences of drinking. There were no gender differences.
Secure Multi-party Computation Protocols For Collaborative Data Publishing With m-Privacy

In this paper collaborative data publishing setting with horizontally partitioned data across multiple data providers, in additional bag round knowledge of each contributing a subset of records . As a special case, a data provider could be the data owner itself who is contributing its own records. This is a very common scenario in social networking and recommendation systems. In this paper we introduce a priory algorithm and genetic algorithms are to publish an anonymized view of the integrated data such that a data recipient including the data providers will not be able to compromise the privacy of the individual records provided by other parties transferring SMC protocol from the forwarding and benefaction the backward of multiple data records to providing mprivacy .
Visual Keyboard for Smart TV Using RGB Camera

This paper proposes an effective and robust hand tracking and fingertip detection method and applies it to a novel vision based human computer interaction system: Visual Keyboard System For Smart TV (VKS). The both hands tracking and fingertip recognition approach consists of three stages. First, based on the CAMSHIFT, Motion Template and Shape Template Matching, the both hands were tracked by Multi Object Tracking CAMSHIFT. Then, the location of fingertip was localized precisely based on Motion Template. After those process, we have the Robust Shape Template Matching to recognize a fingertip. Experiments suggest that the proposed our method is capable of detecting fingertip recognition in a reliable manner even in a complex background under different light conditions without any markers. The Fingertip Recognition Visual Keyboard System in this paper is particularly advantageous for Human-computer Interaction (HCI) in that users can communicate with SMART TV by their favorite mean: fingertip gesturing. At the same time, they can perform typing with only their fingertip directly.
Agency and Communion, Ineffectiveness and Alienation

McAdams’ life-story method has been used extensively with Caucasian and African American individuals, but not immigrants. We investigated the life stories of 40 Latino and Southeast Asian 15- to 18-year-olds, either first- or second-generation immigrants (50% female), half high-achieving, half low-achieving. Immigrant youth talked about agency and communion but also their opposites-ineffectiveness and alienation. As predicted, agency correlated with academic standing and significantly increased with age. Themes of ineffectiveness were significantly more common than agency, while themes of communion significantly exceeded alienation. Communion was significantly more common than agency, but the two also were significantly positively correlated in this sample from collectivist cultures, as were ineffectiveness and alienation. Immigrant youth negotiated their emerging autonomy through consideration of their accomplishments, failures, connections with, and alienation from family and friends.
THE DESIGN OF A FLEXIBLY INTERWORKING DISTRIBUTED MESSAGE-BASED FRAMEWORK

The DOORS (Distributed Object OpeRationS) framework attempts to address several issues in protocol development, interoperability and distributed computing for client-server architectures in heterogenous networks and telecommunications systems. Apart from supporting TCP/IP and UDP/IP socketbased communication, the DOORS framework offers an additional level of interworking with many kinds of distributed object models and distributed systems. It also implements an extremely lightweight ORB using dynamic interfaces running over IIOP which conforms to the CORBA architecture. Interworking with other architectures and frameworks is supported via interrupt-driven, CORBA, or protocol-level approaches. Brief examples of these approaches, together with a description of streaming audio applications developed for use with this framework, are presented.
Extending the Functionality of Behavioural Change-Point Analysis with k-Means Clustering: A Case Study with the Little Penguin (Eudyptula minor)

We present a simple framework for classifying mutually exclusive behavioural states within the geospatial lifelines of animals. This method involves use of three sequentially applied statistical procedures: (1) behavioural change point analysis to partition movement trajectories into discrete bouts of same-state behaviours, based on abrupt changes in the spatio-temporal autocorrelation structure of movement parameters; (2) hierarchical multivariate cluster analysis to determine the number of different behavioural states; and (3) k-means clustering to classify inferred bouts of same-state location observations into behavioural modes. We demonstrate application of the method by analysing synthetic trajectories of known ‘artificial behaviours’ comprised of different correlated random walks, as well as real foraging trajectories of little penguins (Eudyptula minor) obtained by global-positioning-system telemetry. Our results show that the modelling procedure correctly classified 92.5% of all individual location observations in the synthetic trajectories, demonstrating reasonable ability to successfully discriminate behavioural modes. Most individual little penguins were found to exhibit three unique behavioural states (resting, commuting/active searching, area-restricted foraging), with variation in the timing and locations of observations apparently related to ambient light, bathymetry, and proximity to coastlines and river mouths. Addition of k-means clustering extends the utility of behavioural change point analysis, by providing a simple means through which the behaviours inferred for the location observations comprising individual movement trajectories can be objectively classified.
Cache coherency controller verification IP using SystemVerilog Assertions (SVA) and Universal Verification Methodologies (UVM)

Shared memory resources are inevitable components in modern SOC architecture due to Multi-core Architectures resulting ease synchronization with enhanced speed and reliability. Again architectural verification are challenging for these protocols for coherency systems. Hence this project work has come out with complete verification environment for such a complex MESI coherency protocol based on model checking and assumes guarantee verification methods developed through compositional approach of SystemVerilog Assertions (SVA) with functional verification using Universal Verification Methodologies (UVM) packages to substantially ameliorate the difficulties for design accuracy.
Investigating causal factors of aggression: Frustration, personality, and the vicarious learning of video game violence

In April 1999, the Columbine High School shootings stimulated research into the effects of video game violence on behaviour. Subsequently, violent video games have been associated to increases in aggression, emphasising the role of observational learning. An important factor often acknowledged in research is frustration, however it is generally controlled for as a confound, or tested without adhering to the theoretical guidelines stipulated by the frustration-aggression hypothesis. Following these guidelines, a 2x2 experimental design is used to assess the contributions of frustration (high and low game difficulty), and violent content levels (violent; Counter Strike / non-violent content; FIFA10) to automatic aggressive self-concept and explicit self-reported aggressive state, as measured by an implicit attitudes test and the state hostility scale, respectively. Given the considerable support for the influence of aggressive personality traits in aggressive behaviour, personality was assessed as a covariate, using the Buss and Perry Scale. It was hypothesised participants in the high frustration arousal conditions would be associated with increased aggressive states and self concepts, regardless of the video game content group they were assigned, and that a correlation would be present between aggressive personality level and aggressive automatic self concepts and states results. The results provide significant support for the hypotheses that frustration influences aggressive states and automatic self concepts, video game content had no significant influence on the results. The results also support the contribution of aggressive personality to aggression. The author discusses the limitations of the research and considers applications of the findings, such as investing in social programmes to identify and assist troubled adolescents.
Arabidopsis NMD3 Is Required for Nuclear Export of 60S Ribosomal Subunits and Affects Secondary Cell Wall Thickening

NMD3 is required for nuclear export of the 60S ribosomal subunit in yeast and vertebrate cells, but no corresponding function of NMD3 has been reported in plants. Here we report that Arabidopsis thaliana NMD3 (AtNMD3) showed a similar function in the nuclear export of the 60S ribosomal subunit. Interference with AtNMD3 function by overexpressing a truncated dominant negative form of the protein lacking the nuclear export signal sequence caused retainment of the 60S ribosomal subunits in the nuclei. More interestingly, the transgenic Arabidopsis with dominant negative interference of AtNMD3 function showed a striking failure of secondary cell wall thickening, consistent with the altered expression of related genes and composition of cell wall components. Observation of a significant decrease of rough endoplasmic reticulum (RER) in the differentiating interfascicular fiber cells of the transgenic plant stems suggested a link between the defective nuclear export of 60S ribosomal subunits and the abnormal formation of the secondary cell wall. These findings not only clarified the evolutionary conservation of NMD3 functions in the nuclear export of 60S ribosomal subunits in yeast, animals and plants, but also revealed a new facet of the regulatory mechanism underlying secondary cell wall thickening in Arabidopsis. This new facet is that the nuclear export of 60S ribosomal subunits and the formation of RER may play regulatory roles in coordinating protein synthesis in cytoplasm and transcription in nuclei.
The Relationship Between Resilience and Internet Addiction: A Multiple Mediation Model Through Peer Relationship and Depression

Heavy use of the Internet may lead to profound academic problems in elementary students, such as poor grades, academic probation, and even expulsion from school. It is of great concern that Internet addiction problems in elementary school students have increased sharply in recent years. In this study, 58,756 elementary school students from the Henan province of China completed four questionnaires to explore the mechanisms of Internet addiction. The results showed that resilience was negatively correlated with Internet addiction. There were three mediational paths in the model: (a) the mediational path through peer relationship with an effect size of 50.0 percent, (b) the mediational path through depression with an effect size of 15.6 percent, (c) the mediational path through peer relationship and depression with an effect size of 13.7 percent. The total mediational effect size was 79.27 percent. The effect size through peer relationship was the strongest among the three mediation paths. The current findings suggest that resilience is a predictor of Internet addiction. Improving children's resilience (such as toughness, emotional control, and problem solving) can be an effective way to reduce Internet addiction behavior. The current findings provide useful information for early detection and intervention for Internet addiction.
A Multiple Classifier System for Automatic Speech Recognition

Classifier System (MCS) is designed by combining two or more classifiers. MCS helps in increasing the accuracy of classification compared to the performance of the individual classifier. In this paper, Multiple Classifier System is implemented for automatic speech recognition. The combined classifier takes the final decision on predicted class label using a class label fuser (also called as classifier fuser). The class label fuser uses the predicted class labels of the two classifiers i.e Hidden Markov Model (HMM) and Support Vector Machines (SVM) and also involves the Dynamic Time Warping (DTW) technique for the final decision on the predicted label. There is an improvement in the accuracy of such classifier compared to the output of any individual classifier.
A Genetically Encoded IL-1β Bioluminescence Resonance Energy Transfer Sensor To Monitor Inflammasome Activity

Inflammation is fundamental for protecting the organism against infection and injury. However, a failure to control immune response results in chronic inflammation and several associated disorders such as pain and loss of function. Initiation of inflammation is orchestrated by cytokines, among which IL-1β is particularly important. IL-1β is synthesized as an inactive protein that has to be processed by the inflammasome to generate the mature bioactive form. Conventional techniques cannot monitor IL-1β activation with high spatial and temporal resolution. In this study, we present a ratiometric biosensor that allows monitoring IL-1β processing in real time, with a temporal resolution of seconds and with a single-cell spatial resolution. Using this sensor, to our knowledge, we describe for the first time the kinetic of the inflammasome activity in living macrophages. With this new probe, we also demonstrated that the pro–IL-1β processing occurs all over the cytoplasm.
Matrix metalloproteinases in destructive pulmonary pathology

Matrix metalloproteinases (MMPs) are a family of proteolytic enzymes that have a number of important physiological roles including remodelling of the extracellular matrix, facilitating cell migration, cleaving cytokines, and activating defensins. However, excess MMP activity may lead to tissue destruction. The biology of MMP and the role of these proteases in normal pulmonary immunity are reviewed, and evidence that implicates excess MMP activity in causing matrix breakdown in chronic obstructive pulmonary disease (COPD), acute respiratory distress syndrome (ARDS), sarcoidosis, and tuberculosis is discussed. Evidence from both clinical studies and animal models showing that stromal and inflammatory cell MMP expression leads to immunopathology is examined, and the mechanisms by which excess MMP activity may be targeted to improve clinical outcomes are discussed.