Miracle-dz/UniFAR-FTUs huggingface dataset:
MODEL SOFT COLLOIDS OUT OF EQUILIBRIUM: GLASS-LIKE AND RE-ENTRANT TRANSITIONS

Star polymers with tunable number and size of arms, and thus interactions, represent ideal model systems for exploring the regime of soft material behaviour that interpolates between hard spheres and polymeric coils. This regime is characterized by a rich variety of properties that reflect the combination of polymeric and colloidal features. In this review we discuss some of these properties, and in particular the host of kinetic frustration phenomena encountered with such ultrasoft particles. They include soft colloidal glass-like transitions (a kind of jamming), induced upon increasing volume fraction (by heating or increasing the mass concentration), and the glass melting upon application of thermal (depletion) forces.
Deployment of sensor nodes for enhancement of lifetime in event driven wireless sensor network

This paper focuses on enhancement of lifetime in an event driven wireless sensor network (WSN). The network lifetime is enhanced by optimal deployment of sensor nodes in a given region as premature shortening of life takes place leading to uneven consumption of energy. In the proposed scheme, the senor nodes are linearly deployed over the sub-regions and the inter-node distance between the sensor nodes depends on the statistics of events sensed by the sensor nodes in multi hop mode of communication. The performance is measured with respect to the residual energy at each sensor node and total number of days spent by sensor nodes. The lifetime of the sensor network is defined as the survival of some fraction of nodes. For an approximate Poisson distribution for occurrence of events in different sub-regions, the variation of energy consumption in sensor nodes is negligibly small. Further if some nodes are having finite residual energy even after failure of some nodes, then those nodes can continue their communication in single hop mode and hence the lifetime of the network is further extended.
Monitoring Latency Sensitive Enterprise Applications on the Cloud

Enterprises are increasingly deploying their applications in the cloud given the cost-saving advantages and the potential to geo-distribute applications to ensure resilience and better service experience. Most of the enterprise applications have stringent latency constraints for better user experience or by business requirements. One of the fundamental challenges in the deployment of such geo-distributed enterprise applications is to monitor their performance once deployed. On the one hand, it is clear that user observed latency is the most important parameter and enterprises should be able to efficiently measure the end-to-end latency at the granularity of every user transaction, on the other hand, they should also be able to isolate the problem to each component to optimize cost and improve utilization. It is therefore crucial for any monitoring framework to provide latency measurements at both the levels of granularity. Also the monitoring framework should be easy to integrate with any application and have minimal impact on the application in order to be scalable. In this work, we present the design and implementation of such a monitoring framework for latency sensitive applications on the cloud. We also evaluate our framework using benchmark applications deployed on two prominent cloud service providers, Amazon AWS and Microsoft Azure.
A comparison of human trajectory planning models for implementation on humanoid robot

The human locomotion is a complex motor task that coordinates the activity of many different muscles and joints across each step. In terms of general behavior, this complexity can be modeled using simple rules due to the high redundancy presented by the motor system. This work presents a detailed analysis on recent neuroscientific models for the trajectory formation during locomotion task. With the aim to implement one of the presented approaches in a humanoid platform, these models have been applied on human data and compared. The trajectory error has been computed with respect to the resulted fitting. The advantages and disadvantages of each model have been highlighted and discussed.
Performance simulation of 3G closed loop transmit diversity systems

It is well known that the third generation partnership project (3GPP) for WCDMA FDD has chosen Space Time Transmit Diversity (STTD) (known also as open loop transmit diversity) and Feedback Mode Transmit Diversity (FBTD) (known also as closed loop transmit diversity) as transmit diversity techniques for two transmit antennas. In this paper, we look into the performance of closed loop transmit diversity schemes in the downlink of a WCDMA systems release 4. More specifically, we compare by simulations in a very realistic environment the mode 1 and mode 2 performance of the FBTD scheme. The resulting simulation curves show (i) the effect of varying mobile speeds on the performance of the two modes of FBTD with and without fast closed loop power control, (ii) the impact of channel estimation errors on the average bit error rate (BER), and (iii) the consequences of errors in the feedback path between receiver and transmitter.
Study of surface roughness in extremely small Si nanowire MOSFETs using fully-3D NEGFs

In this paper we study the impact of surface roughness in the channel on the current variability of a gate-all-around Si nanowire MOSFET. This analysis has been carried out using a fully-3D real-space Non-Equilibrium Green's function (NEGF) simulator. 3D simulations are required due to the strong spatial inhomogeneities of the potential and electron concentration caused by the rough interface. As an initial condition for the Green's function simulation we use a drift-diffusion solution with density gradient quantum corrections. This stabilises the convergence of the NEGF algorithm. We have obtained the ID-VG characteristics for the smooth and the surface roughness devices. A large variation in the on-current and a noticeable threshold voltage shift have been observed in the ID-VG characteristics when the smooth device is compared with the surface roughness device. The results obtained have been directly correlated with the self¿consistent electrostatic potential, electron density and transmission coefficients along the wire axis.
URL as starting point for WWW document categorization

Information about the category (type) of a WWW page can be helpful for the user within search, filtering, as well as navigation tasks. We propose a multidimensional categorisation scheme, with bibliographic dimension as the primary one. We examine the possibilities and limits of performing such categorisation based on information extracted from URL, which is particularly useful for certain on-line applications such as metasearch or navigation support. In addition, we describe the problem of ambiguity of URL terms, and suggest a method for its partial overcoming by means of machine learning. As a side-effect, we show that general purpose WWW search engines can be used for providing input data for both human and computational analysis of the web.
Ubiquitin-Conjugating Enzyme UBE2C Is Highly Expressed in Breast Microcalcification Lesions

Ubiquitin-conjugating enzyme 2C (UBE2C) contributes to ubiquitin-mediated proteasome degradation of cell cycle progression in breast cancer. Microcalcification (MC) is the most common mammographic feature of early breast cancer. In this study, we evaluated whether UBE2C could be a tumor marker of early breast cancer with MC found on screening mammography. UBE2C protein and mRNA expression were measured in breast core biopsy pairs of MC and adjacent non-MC breast tissue from each subject. Immunohistochemistry revealed UBE2C positivity in 69.4% of MC samples and 77.6% negativity in non-MC samples (p<0.0001). On RT-qPCR, 56.1% of malignant MC lesion samples showed high mRNA level of UBE2C and 80% of benign MC lesion samples showed a low level of UBE2C (p = 0.1766). We investigated the carcinogenic role of UBE2C in MCF-7 breast cancer cells with UBE2C knockdown; UBE2C knockdown downregulated cell proliferation and activated the cellular apoptosis pathway to inhibit cell colony formation. Furthermore, UBE2C expression was associated with that of carcinogenic genes human epidermal growth factor receptor type 2 (HER2), cellular c-Ki-ras2 proto-oncogene (KRAS), vascular endothelial growth factor (VEGF), CXC chemokine receptor 4 (CXCR4), C-C motif chemokine 5 (CCL5), neural precursor cell expressed, developmentally downregulated 9 (NEDD9) and Ras homolog family member C (RhoC). UBE2C may be a marker for diagnosis of nonpalpable breast lesions but not benign or malignant tumors in mammography core biopsies. Suppression of UBE2C may be a potential therapy target in breast cancer.
SYNTHESIS FOR URDU VOWELS USING HLSYN

This paper tries to give the brief overview of different kinds of speech synthesis systems (formant, concatenative and articulatory). General steps, which are involved in the synthesis, are discussed. Moreover, the Klatt synthesizer is also discussed in some detail. This paper also includes the synthesis of Urdu oral vowels (, , æ, , i, e, , o, , , ) using High Level synthesizer (HLSyn). Results show that HLSyn is good at synthesizing the Urdu oral vowels, but it does not give the control over bandwidth and intensity, which is a hurdle to archive natural sound.
H∞ fuzzy filter for nonlinear sampled-data system using fuzzy Lyapunov function

This paper proposes an H∞ fuzzy filter for nonlinear sampled-data system. The nonlinear system is represented based on the Takagi-Sugeno (T-S) fuzzy model. An error system between the nonlinear sampled-data system and fuzzy filter is presented. Using a fuzzy Lyapunov function, sufficient conditions for showing H∞ performance of the fuzzy filter are proposed. The sufficient conditions are derived in terms of linear matrix inequalities (LMIs) which can be easily solved using convex optimization technique. Finally, simulation example is provided to show the feasiblity of the proposed method.
Fourier analysis of sequences over a composition algebra of the real number field

To analyze the structure of a set of perfect sequences over a composition algebra of the real number field, transforms of a set of sequences similar to DFT (discrete Fourier transform) are introduced. Discrete cosine transform, discrete sine transform and generalized discrete Fourier transform (GDFT) of the sequences are defined and the fundamental properties of these transforms are proved. We show that GDFT is bijective and that there exists a relationship between these transforms and a convolution of sequences. Applying these properties to the set of perfect sequences, a parameterization theorem of such sequences is obtained.
Dynamic Power and Thermal Management of NoC-Based Heterogeneous MPSoCs

Advances in silicon process technology have made it possible to include multiple processor cores on a single die. Billion transistor architectures usually in the form of networks-on-chip present a wide range of challenges in design, microarchitecture, and algorithmic levels with significant impact to system performance and power consumption. In this article, we propose efficient methods and mechanisms that exploit a heterogeneous network-on-chip (NoC) to achieve a power- and thermal-aware coherent system. To this end, we utilize different management techniques which employ dynamic frequency scaling circuitry and power and temperature sensors per node to achieve real-time workload prediction and allocation at node and system level by low-cost threads. The developed heterogeneous multicoprocessing infrastructure is utilized to evaluate diverse policies for power-aware computing in terms of effectiveness and in relation to distributed sensor-conscious management. The proposed reconfigurable architecture supports coprocessor accelerators per node, monitors the program’s power profile on-the-fly, and balances power and thermal behavior at the NoC level. Overall, these techniques form a system exploration methodology using a multi-FPGA emulation platform showing a minimum complexity overhead.
Designing an active learning based system for corpus annotation

En este articulo revisamos algunos resultados de experimentos realizados con tecnicas de Active Learning para establecer las bases del diseno de un sistema de anotacion de corpus. A partir de los datos experimentales disenamos un sistema modular que posibilita un aprendizaje rapido en una primera fase y que permite pasar a una segunda fase de aprendizaje mas lento, pero mas preciso. El sistema esta disenado para realizar una tarea de anotacion de roles semanticos
A Spatially-Distributed Conceptual Model For Reactive Transport Of Phosphorus From Diffuse Sources: An Object-Oriented Approach

This paper presents CAMEL, a spatially-distributed conceptual model for simulating reactive transport of phosphorus from diffuse sources at the catchment scale. A catchment is represented in the model using a network of grid cells and each grid cell is comprised of various conceptual storages of water, sediment and phosphorus. To allow for reactive transport processes of phosphorus between grid cells, two cascade routing schemes are used for groundwater and channel water flows, respectively. The model has a modular, object-oriented structure so that it can be easily modified or extended and, furthermore, it can even provide a library of hydrological and hydrochemical processes from which the user can select a sub-set of processes suitable for a particular application. A verification study of the model has been carried out for a hypothetical catchment with satisfactory results.
Increasing The Performance Of Mobile Smartphones Using Partition And Migration Of Mobile Applications To Cloud Computing

With the increasing use of smartphones devices, mobile applications with richer functionalities are becoming ubiquitous but mobile devices are limited by their resources for computing and power consumption. Cloud the place for abundant resources. Clouds provide opportunity to do huge computations quickly and accurately so we can use cloud for mobile computations. Mobile Cloud Computing (MCC) which combines mobile computing and cloud computing, has become one of a major discussion thread in the IT world in the recent few years. We developed an architecture that uses cloud to do computations that consume resources badly on mobiles. It aims at finding the right spots in an application automatically where the execution can be partitioned and migrated to the cloud. Thus, an elastic application can augment the capabilities of a mobile device including computation power, storage, and network bandwidth, with the light of dynamic execution configuration according to device"s status including CPU load, memory, and battery level. We demonstrate results of the proposed application model using data collected from one of our elastic application.
Activation of p38 Mitogen-Activated Protein Kinase Promotes Epidermal Growth Factor Receptor Internalization

Endocytic trafficking plays an important role in the regulation of the epidermal growth factor receptor (EGFR). To address if cellular kinases regulate EGFR internalization, we used anisomycin, a potent activator of kinase cascades in mammalian cells, especially the stress‐activated mitogen‐activated protein (MAP) kinase subtypes. Here, we report that activation of p38 MAP kinase by anisomycin is sufficient to induce internalization of EGFR. Anisomycin and EGF employ different mechanisms to promote EGFR endocytosis as anisomycin‐induced internalization does not require tyrosine kinase activity or ubiquitination of the receptor. In addition, anisomycin treatment did not result in delivery and degradation of EGFR at lysosomes. Incubation with a specific inhibitor of p38, or depletion of endogenous p38 by small interfering RNAs, abolished anisomycin‐induced internalization of EGFR while having no effect on transferrin endocytosis, indicating that the effect of p38 activation on EGFR endocytosis is specific. Interestingly, inhibition of p38 activation also abolished endocytosis of EGFR induced by UV radiation. Our results reveal a novel role for p38 in the regulation of EGFR endocytosis and suggest that stimulation of EGFR internalization by p38 might represent a general mechanism to prevent generation of proliferative or anti‐apoptotic signals under stress conditions.
Modeling Pedestrian's Conformity Violation Behavior: A Complex Network Based Approach

Pedestrian injuries and fatalities present a problem all over the world. Pedestrian conformity violation behaviors, which lead to many pedestrian crashes, are common phenomena at the signalized intersections in China. The concepts and metrics of complex networks are applied to analyze the structural characteristics and evolution rules of pedestrian network about the conformity violation crossings. First, a network of pedestrians crossing the street is established, and the network's degree distributions are analyzed. Then, by using the basic idea of SI model, a spreading model of pedestrian illegal crossing behavior is proposed. Finally, through simulation analysis, pedestrian's illegal crossing behavior trends are obtained in different network structures and different spreading rates. Some conclusions are drawn: as the waiting time increases, more pedestrians will join in the violation crossing once a pedestrian crosses on red firstly. And pedestrian's conformity violation behavior will increase as the spreading rate increases.
CoMeT: Integrating different levels of linguistic modeling for meaning assessment

This paper describes the CoMeT system, our contribution to the SemEval 2013 Task 7 challenge, focusing on the task of automatically assessing student answers to factual questions. CoMeT is based on a meta-classifier that uses the outputs of the sub-systems we developed: CoMiC, CoSeC, and three shallower bag approaches. We sketch the functionality of all sub-systems and evaluate their performance against the official test set of the challenge. CoMeT obtained the best result (73.1% accuracy) for the 3-way unseen answers in Beetle among all challenge participants. We also discuss possible improvements and directions for future research.
Analysis of avalanche effect on advance encryption standard by using dynamic S-Box depends on rounds keys

Substitution table or S-Box is the major core of AES algorithm and it is used to provide confusion capability for AES. The aim of this paper is to design dynamic S-Box which depends on rounds keys for encryption in AES-128. The parameters of the dynamic S-Box have features equivalent to those in the normal algorithm AES. Static S-Box allows attackers to study S-Box and discover weak issues while by using dynamic S-Box approach, it makes difficult and more complex for attacker to do any offline study of an attack of one particular set of S- boxes. Both algorithms are implemented with MATLAB and also, input and output for data collection is hexadecimal format. the proposed AES is compared with normal AES in term of security analysis by avalanche effect test, and it is compared simulation times between two algorithms.
Filamentous phages of Ralstonia solanacearum: double-edged swords for pathogenic bacteria

Some phages from genus Inovirus use host or bacteriophage-encoded site-specific integrases or recombinases establish a prophage state. During integration or excision, a superinfective form can be produced. The three states (free, prophage, and superinfective) of such phages exert different effects on host bacterial phenotypes. In Ralstonia solanacearum, the causative agent of bacterial wilt disease of crops, the bacterial virulence can be positively or negatively affected by filamentous phages, depending on their state. The presence or absence of a repressor gene in the phage genome may be responsible for the host phenotypic differences (virulent or avirulent) caused by phage infection. This strategy of virulence control may be widespread among filamentous phages that infect pathogenic bacteria of plants.
NON-FRAGILE CONTROLLERS OF PEAK GAIN MINIMIZATION FOR UNCERTAIN SYSTEMS VIA LMI APPROACH

This paper is concerned with the problem of robust peak-to-peak gain mini- mization by linear matrix inequality (LMI) approach. Instead of minimizing the robustly induced L1-norm, we minimize its upper bound. Results on the state-feedback controllers are obtained by this approach, and the controllers are at most the same order as the plant. One of the main results shows that if there exists a linear dynamic state-feedback controller that achieves a certain level of robust performance, then there exists a static, linear, state- feedback controller that achieves the same performance level, and vice versa. Moreover, the existence of such controllers are equivalent to the existence of solution of an LMI prob- lem. Based on the result, a sucient condition for obtaining non-fragile state-feedback controller is presented. The condition guarantees simultaneously disturbance rejection in invariant set sense in (2) and the level of performance in (1). Keywords. Uncertain systems, peak-to-peak gain minimization, persistent disturbances, L1-control, non-fragile controllers. AMS (MOS) subject classification: 34K20, 34K35, 34H05, 93D09.
Sentiment analyzer: Analysis of journal citations from citation databases

The process of finding out the frequency of citations for various journals or articles or research papers is known as citation analysis. The impact of any research paper can be found by computing the number of citations, the particular journal or paper received. Many researchers quote concepts or ideas from various papers and the final outcome of the paper in their discussion. But it does not always mean that all the authors and papers referred to would be criticizing the referred paper with positive words. Sometimes if the referring paper has produced good results when compared to the referred paper then obviously the authors do not give much positive comments in their discussion. In order to address this problem, we propose the sentiment analysis can be performed to rate the citations based on the polarity level. The sentence parser can be used to identify the adjectives what the authors used in their discussion about the cited paper. Then the identified adjectives can be assigned a score to distinguish it from positive and negative. In between, if any paper is found without clearly mentioning the cited paper with identifiable adjective terms then in can be named as unknown or neutral. The citations can be ranked based on the computed polarity score. The ranking process helps to project the citations which have cited with higher positivity content in their discussion.
The specific response of gypsy moth A1 neurosecretory neurons to different environmental stressors

Changes in the number and morphometric parameters of A1 neurosecretory neurons (nsn) were analyzed in Lymantria dispar 4th instar caterpillars, exposed for 3 days to different stressors: cadmium, high temperature and tannic acid. The relative cytoplasm density of A1 nsn was also estimated. Caterpillars reared on a diet supplemented with cadmium exhibited increased size of A1 nuclei (10 and 250 μg Cd per g of dry food weight), increased number of nucleolii in nuclei and raised relative cytoplasm density in all experimental groups. Cadmium obviously induces intensive synthetic activity in A1 nsn. The second stressor was high environmental temperature of 35°C. Decrease of all analyzed morphometric parameters suggests that acute exposure of 4th instar caterpillars to 35°C, as well as 12 h recovery at optimal temperature of 23°C, reduced the activity of A1 nsn. Tannic acid was added to the artificial diet in the following concentrations: 1%, 2.5% and 5%. All estimated morphological parameters did not change after addition 1 and 2.5% of tannic acid. After addition of 5% of tannic acid, the activity of A1 nsn declined.