Miracle-dz/UniFAR-FTUs huggingface dataset:
The royal birth of 2013: Analysing and visualising public sentiment in the UK using Twitter

Analysis of information retrieved from microblog-ging services such as Twitter can provide valuable insight into public sentiment in a geographic region. This insight can be enriched by visualising information in its geographic context. Two underlying approaches for sentiment analysis are dictionary-based and machine learning. The former is popular for public sentiment analysis, and the latter has found limited use for aggregating public sentiment from Twitter data. The research presented in this paper aims to extend the machine learning approach for aggregating public sentiment. To this end, a framework for analysing and visualising public sentiment from a Twitter corpus is developed. A dictionary-based approach and a machine learning approach are implemented within the framework and compared using one UK case study, namely the royal birth of 2013. The case study validates the feasibility of the framework for analysis and rapid visualisation. One observation is that there is good correlation between the results produced by the popular dictionary-based approach and the machine learning approach when large volumes of tweets are analysed. However, for rapid analysis to be possible faster methods need to be developed using big data techniques and parallel methods.
Spinning speed–throughput rate relationships for polyester, nylon, and polypropylene fibers

The relationship between spinning speed and throughput rate has been investigated for fibers having the same fiber denier in the drawn state when produced by melt spinning of poly(ethylene terephthalate), nylon 6, and polypropylene polymers over a range of take-up speed (750–3000 m min-1) and throughput rate. To understand the structural origin of the relationship, a limited amount of characterization of structure and properties of the as-spun and drawn fibers was also done. A comparison of the results for the three polymers shows that while the increase in productivity with increase in spinning speed is relatively less for polyester and nylon 6, it is quite high for polypropylene. The birefringence data show that while molecular orientation increases rapidly with increasing wind-up speed in polyester and nylon 6, the rate of increase is relatively less in the case of polypropylene. The possible reasons for the observed differences in behavior are discussed. © 1997 John Wiley & Sons, Inc. J Appl Polym Sci 65:1773–1788, 1997
Supporting Transactional Atomicity in Flash Storage Devices

Flash memory does not allow data to be updated in place, and the copy-on-write strategy is adopted by most ﬂash storage devices. The copy-on-write strategy in modern FTLs provides an excellent opportunity for ofﬂoading the burden of guaranteeing the transactional atomicity from a host system to ﬂash storage and for supporting atomic update propagation. This paper presents X-FTL as a model case of exploiting the opportunity in ﬂash storage to achieve the transactional atomicity in a simple and efﬁcient way. X-FTL drastically improves the transactional throughput almost for free without resorting to costly journaling schemes. We have implemented X-FTL on an SSD development board called OpenSSD, and modiﬁed SQLite and ext4 ﬁle system minimally to make them compatible with the extended abstractions provided by X-FTL . We demonstrate the effectiveness of X-FTL using real and synthetic SQLite workloads for smartphone applications.
Frequency analysis of speaker identification

Our main motivation in this work is to investigate subbands based representation of speaker identities and then search for improvements to typical methods (such as MFCCs). Test results obtained via proposed Vector Ranking criteria, have shown that 0−1000 Hz and 3000−4500 Hz frequency bands are more significant in automatic speaker discrimination when compared to other frequencies. We propose a new filter bank for speaker identification systems. Performances of new cepstras and MFCCs are compared which show that the proposed feature sets’ results in significantly better SI performance.
Corrosion Protection of Aerospace Grade Magnesium Alloy Elektron 43™ for Use in Aircraft Cabin Interiors

Magnesium alloys exhibit desirable properties for use in transportation technology. In particular, the low density and high specific strength of these alloys is of interest to the aerospace community. However, the concerns of flammability and susceptibility to corrosion have limited the use of magnesium alloys within the aircraft cabin. This work studies a magnesium alloy containing rare earth elements designed to increase resistance to ignition while lowering rate of corrosion. The microstructure of the alloy was documented using scanning electron microscopy. Specimens underwent salt spray testing and the corrosion products were examined using energy dispersive spectroscopy.
HERP Binds TBK1 To Activate Innate Immunity and Repress Virus Replication in Response to Endoplasmic Reticulum Stress

Host innate immunity is crucial for cellular responses against viral infection sensed by distinct pattern recognition receptors and endoplasmic reticulum (ER) stress. Enterovirus 71 (EV71) is a causative agent of hand, foot, and mouth disease and neurological diseases. However, the exact mechanism underlying the link between ER stress induced by EV71 infection and host innate immunity is largely unknown. In this study, we demonstrated that EV71 infection induces the homocysteine-induced ER protein (HERP), a modulator of the ER stress response which is dependent on the participation of MAVS. Virus-induced HERP subsequently stimulates host innate immunity to repress viral replication by promoting type-I IFNs (IFN-α and IFN-β) and type-III IFN (IFN-λ1) expression. Through interacting with TANK-binding kinase 1, HERP amplifies the MAVS signaling and facilitates the phosphorylation and nuclear translocation of IFN regulatory factor 3 and NF-κB to enhance the expression of IFNs, which leads to a broad inhibition of the replication of RNA viruses, including EV71, Sendai virus, influenza A virus, and vesicular stomatitis virus. Therefore, we demonstrated that HERP plays an important role in the regulation of host innate immunity in response to ER stress during the infection of RNA viruses. These findings provide new insights into the mechanism underlying the replication of RNA viruses and the production of IFNs, and also demonstrate a new role of HERP in the regulation of host innate immunity in response to viral infection.
Topological modelling of large networks

In a complex network, there is a strong interaction between the network's topology and its functionality. A good topological network model is a practical tool as it can be used to test ‘what-if’ scenarios and it can provide predictions of the network's evolution. Modelling the topology structure of a large network is a challenging task, since there is no agreement in the research community on which properties of the network a model should be based, or how to test its accuracy. Here we present recent results on how to model a large network, the autonomous system (AS)-Internet, using a growth model. Based on a nonlinear preferential growth model and the reproduction of the network's rich club, the model reproduces many of the topological characteristics of the AS-Internet. We also identify a recent method to visualize the network's topology. This visualization technique is simple and fast and can be used to understand the properties of a large complex network or as a first step to validate a network model.
Survey on Different Ranking Algorithms Along With Their Approaches

Searching becomes a normal behavior of our life. Billions of users communicate with search engines daily. They are checking links of results, click on the ads, spend time on pages to restructure their queries and perform other actions. These interactions may concern some of the valuable source of information for tuning the content. There are massive web pages on the internet and search engines also have a test to find the best ranked pages. This paper provides a survey on different ranking algorithms such as link based ranking, content based ranking and usage based ranking and presents a comparative analysis on performance of these algorithms.
A Novel Mobile Device NFC Stack Architecture

Mobile device manufacturers expect NFC stack to be operation system (OS) independent, hardware independent and OS application framework adaptive, but present mobile device NFC stacks can hardly meet all the requirements. By analyzing OS services, ETSI standards and NFC Forum standards, this paper propose a novel NFC stack architecture. In this architecture, NFC stack runtime environment encapsulates OS services related to NFC stack. NFC hardware abstract layer conceals the difference between different kinds of NFC controllers and offers abstract NFC hardware service. According to different NFC business scenario and NFC operating mode, NFC service model layer achieves the function defined by NFC Forum standards and constructs different service models. NFC service interface layer adapts to different OS application framework in order to facilitate NFC application development. The reference implementation of NFC stack based on this architecture can work on Android or Windows Phone and can adapt to corresponding application framework as well, it is also compatible with a variety of NFC controllers. Test result shows that mobile device with this NFC stack can meet NFC Forum Device Requirements 1.1.
Effects of phosphatidylserine and cholesterol liposomes on the viability, motility, and acrosomal integrity of stallion spermatozoa prior to and after cryopreservation.

Computer-assisted motion analyses (CASA) and flow cytometry were used to evaluate stallion spermatozoa prior to and after cryopreservation. Spermatozoa were pretreated with: (1) Hepes-buffered medium (SHB); (2) phosphatidylserine (PS) liposomes; or (3) liposomes composed of both PS and cholesterol (PSCH) prior to dilution in either SHB or skim milk-egg yolk extender (SMEY). After cooling to 5 degrees C in SHB, PS and PSCH pretreatment (23%). Spermatozoal motion parameters were higher for spermatozoa diluted in SMEY than dilution in SHB. In Experiment 2, motion parameters were compared for spermatozoa pretreated with PSCH liposomes and cryopreserved in either SMEY or a high salt-skim milk-egg yolk extender (CO). Spermatozoal motion characteristics were similar for all spermatozoal treatments after cooling at 5 degrees C. After cryopreservation, PSCH liposome-treated samples had higher percentages of motile spermatozoa than untreated samples regardless of freezing extender. Samples frozen in CO medium had higher percentages of motile spermatozoa than samples frozen in SMEY (P < 0.05; 63% in CO + PSCH and 54% in CO vs 55% in SMEY + PSCH and 48% in SMEY, respectively). In Experiment 3, spermatozoa were treated with dilauroylphosphatidylcholine (PC12) to induce the acrosome reaction. The percentages of viable cells and viable acrosome-reacted spermatozoa were higher for fresh spermatozoa than for cryopreserved spermatozoa (P < 0.05), but were not affected by PSCH liposome treatment (P > 0.05). Addition of PSCH liposomes improved recovery of motile spermatozoa after cryopreservation but did not affect the ability of spermatozoa to undergo a PC12-induced acrosome reaction.
Novel methods for elasticity characterization using optical coherence tomography: Brief review and future prospects

Abstract In this paper, a brief overview of several recently proposed approaches to elastographic characterization of biological tissues using optical coherence tomography is presented. A common feature of these “unconventional” approaches is that unlike most others, they do not rely on a two-step process of first reconstructing the particle displacements and then performing its error-prone differentiation in order to determine the local strains. Further, several variants of these new approaches were proposed and demonstrated essentially independently and are based on significantly different principles. Despite the seeming differences, these techniques open up interesting prospects not only for independent usage, but also for combined implementation to provide a multifunctional investigation of elasticity of biological tissues and their rheological properties in a wider sense.
Overhead-aware distributed CSI selection in the MIMO interference channel

We consider a MIMO interference channel in which the transmitters and receivers operate in frequency-division duplex mode. In this setting, interference management through coordinated transceiver design necessitates channel state information at the transmitters (CSI-T). The acquisition of CSI-T is done through feedback from the receivers, which entitles a loss in degrees of freedom, due to training and feedback. This loss increases with the amount of CSI-T. In this work, after formulating an overhead model for CSI acquisition at the transmitters, we propose a distributed mechanism to find for each transmitter a subset of the complete CSI, which is used to perform interference management. The mechanism is based on many-to-many stable matching. We prove the existence of a stable matching and exploit an algorithm to reach it. Simulation results show performance improvement compared to full and minimal CSI-T.
On-line Error Detection in a Polynomial Basis Multiplier over GF(2^m) Using Self-Checking Alternating Logic

Polynomial basis multipliers which are widely applied in public-key cryptosystems such as elliptic curve cryptosystem are suitable to be FPGA (Field Programmable Gate Array) and VLSI (Very Large Scale Integrated circuit) implementations due to their regularity and modularity properties. On-line error detection capability can provide a countermeasure to recently developed fault-based cryptanalysis. A novel polynomial basis multiplier using self-checking alternating logic (SCAL) method is developed. The proposed polynomial basis multiplier can provide both on-line error detection and off-line testability capabilities. Our proposed multiplier requires only one-third of the extra space complexity that existing multipliers require. Our proposed SCAL polynomial basis multiplier is the first polynomial basis multiplier over GF(2^m) with both online error detection and off-line testability capabilities.
A torque impulse balance control method to achieve optimal dynamic response for permanent magnet flux-switching motor

In modern motor speed control system, as PI regulator is in the speed loop of vector control and direct torque control, the motor system does not have a good performance in dynamic response. This paper presents a new control method which can improve dynamic response of a motor. The method can accurately calculate the needed forward vector, zero vector and switch time during the dynamic process by utilizing principle of torque impulse balance control and the optimal combination of vector idea thus can realize quick dynamic speed response without overshoot in theory. This control method can be used to control and optimize the dynamic process of various motor and is of great significance for motor control, servo, etc.
Integrative approaches for predicting protein function and prioritizing genes for complex phenotypes using protein interaction networks

With the rapid development of biotechnologies, many types of biological data including molecular networks are now available. However, to obtain a more complete understanding of a biological system, the integration of molecular networks with other data, such as molecular sequences, protein domains and gene expression profiles, is needed. A key to the use of networks in biological studies is the definition of similarity among proteins over the networks. Here, we review applications of similarity measures over networks with a special focus on the following four problems: (i) predicting protein functions, (ii) prioritizing genes related to a phenotype given a set of seed genes that have been shown to be related to the phenotype, (iii) prioritizing genes related to a phenotype by integrating gene expression profiles and networks and (iv) identification of false positives and false negatives from RNAi experiments. Diffusion kernels are demonstrated to give superior performance in all these tasks, leading to the suggestion that diffusion kernels should be the primary choice for a network similarity metric over other similarity measures such as direct neighbors and shortest path distance.
A system-level methodology for fully compensating process variability impact of memory organizations in periodic applications

Process variability is an emerging problem that is becoming worse with each new technology node. Its impact on the performance and energy of memory organizations is severe and degrades the system-level parametric yield. In this paper we propose a broadly applicable system-level technique that can guarantee parametric yield on the memory organization and which minimizes the energy overhead associated to variability in the conventional design process. It is based on offering configuration capabilities at the memory-level and exploiting them at the system-level. This technique can decrease by up to a factor of 5 the energy overhead that is introduced by state-of-the-art process variability compensation techniques, including statistical timing analysis. In this way we obtain results close to the ideal nominal design again.
Triclabendazole progress report, 2005–2009: an advancement of learning?

Abstract Triclabendazole (TCBZ) remains the drug of choice for treating infections of the liver fluke, Fasciola hepatica in livestock and has become the main drug used to treat human cases of the disease as well. Cases of resistance in livestock continue to be reported, suggesting that the problem is increasing. In order to address the problem, there is a need for better understanding of drug action. A ‘state-of-play’ review on different aspects of TCBZ activity was published by the present author in 2005. The main purpose of the current review is to assess what progress has been made in the past four years towards understanding the main aspects of drug activity, including drug pharmacokinetics and pharmacodynamics and an understanding of the mechanism(s) of resistance. Also, what advances have been made in identifying alternative compounds and using drug combinations to enhance TCBZ activity. Stemming from a number of in vivo studies, it has become evident that fluke isolates of differing sensitivity to TCBZ differ in some of their biological parameters, and information on this interesting phenomenon will be presented. An update on the use of TCBZ for human fascioliasis is also given. The review will indicate what progress has been made, but will also highlight areas that remain inadequately understood and require greater research focus.
Nutritional assessment of iron status and anemia in children under 5 years old at public daycare centers.

OBJECTIVES To assess nutritional iron status and anemia prevalence in children less than 5 years old at public daycare centers in the city of Recife, PE, Brazil. METHODS A cross-sectional study, with a systematic random sampling of 162 children aged 6 to 59 months. Nutritional iron status was assessed in terms of body iron reserves (serum ferritin), transferrinemia (serum iron, total iron binding capacity, and transferrin saturation %), erythropoiesis (free erythrocyte protoporphyrin) and hemoglobin production (hemoglobin). RESULTS The prevalence of anemia (hemoglobin < 11.0 g/dL) was 55.6% (95%CI 47.3-63.5), evidence was found of depleted iron stocks (serum ferritin < 12.0 ng/mL) in 30.8% (95%CI 22.9-39.3), low transferrinemia levels (transferrin saturation % < 16) in 60.1% (95%CI 51.7-68.0) and deficient erythropoiesis (free erythrocyte protoporphyrin > 40 micromol/mol heme) in 69.6% (95%CI 61.0-77.1) of the children. Iron parameters were not correlated with sex (p > 0.05). However, children < 24 months exhibited lower hemoglobin concentrations (p < 0.00) and higher levels of free erythrocyte protoporphyrin (p < 0.000) and total iron binding capacity (p < 0.001) when compared with children > 24 months. The significant correlation observed between reserves, transferrinemia and erythropoiesis is a finding that is compatible with the expected lifecycle of iron in the body. CONCLUSIONS Iron deficiency and anemia appear to be an important public health problem among children less than 5 years old at public daycare centers in Recife. Therefore, effective actions aimed at the prevention and control of this deficiency are strongly recommended in this ecological context.
Differentiating between individual class performance in Genetic Programming fitness for classification with unbalanced data

This paper investigates improvements to the fitness function in Genetic Programming to better solve binary classification problems with unbalanced data. Data sets are unbalanced when there is a majority of examples for one particular class over the other class(es). We show that using overall classification accuracy as the fitness function evolves classifiers with a performance bias toward the majority class at the expense of minority class performance. We develop four new fitness functions which consider the accuracy of majority and minority class separately to address this learning bias. Results using these fitness functions show that good accuracy for both the minority and majority classes can be achieved from evolved classifiers while keeping overall performance high and balanced across the two classes.
Reliable Lifetime Prediction for Passivated Fiber Bragg Gratings for Telecommunication Applications

This paper is dedicated to the lifetime prediction of Type I Fiber Bragg gratings (FBG) and to problems that happen when stabilization (also called passivation) conditions or the industrial conditioning procedure depart from ageing ones (e.g., presence of hydrogen during the passivation process). For the first time, a reliable procedure to certify the predicted lifetime based on a “restricted” master curve built on real components (i.e., passivated FBG) is presented. It is worth noting that both procedures (master curve built on non-passivated or on passivated components) are based on the same model (demarcation energy approximation and the existence of a master curve) fed with ageing data (reflectivity decay vs. time and temperature). If the Master Curve (MC) build on passivated components can be derived from the original one, we can certify the lifetime prediction in a reliable manner.
Impact of SVM multiclass decomposition rules for recognition of cancer in gastroenterology images

In this work we study the impact of a set of bag-of-features strategies for the recognition of cancer in gastroen-terology images. By using the SIFT descriptor, we analyzed the importance and performance impact of term weighting functions for the construction of visual vocabularies. Further analyzes were conducted in order to ascertain the robustness of multiclass decomposition rules for Support Vector Machines with different kernels. Our study was extended by tailoring a decomposition rule that explores prior knowledge according the four grades of the Singh taxonomy (SDR). We found that SDR coupled with a frequency term weight function attained the best overall results (80%) when trained with an intersection kernel. It also outperformed standard decomposition rules when using a χ2 kernel and attained competitive performances with a linear kernel.