Miracle-dz/UniFAR-FTUs huggingface dataset:
Sea‐island polyurethane/polycarbonate composite nanofiber fabricated through electrospinning

Sea-island polyurethane (PU)/polycarbonate (PC) composite nanofibers were obtained through electrospinning of partially miscible PU and PC in 3 : 7 (v/v) N,N-dimethylformamide (DMF) and tetrahydrofuran (THF) mixture solvent. Their structures, mechanical, and thermal properties were characterized by scanning electron microscopy (SEM), transmission electron microscopy (TEM), Fourier transform infrared (FTIR) spectroscopy, thermogravimetric (TG), and differential scanning calorimetry (DSC). The structures and morphologies of the nanofibers were influenced by composition ratio in the binary mixtures. The pure PC nanofiber was brittle and easy to break. With increasing the PU content in the PU/PC composite nanofibers, PU component not only facilitated the electrospinning of PC but improved the mechanical properties of PU/PC nanofibrous mats. In a series of nanofibrous mats with varied PU/PC composition ratios, PU/PC 70/30 showed excellent tensile strength of 9.60 Mpa and Young's modulus of 55 Mpa. After selective removal of PC component in PU/PC composite nanofibers by washing with acetone, the residual PU maintained fiber morphology. However, the residual PU nanofiber became irregular and contained elongated indents and ridges along the fiber surface. PU/PC composite fibers showed sea-island nanofiber structure due to phase separation in the spinning solution and in the course of electrospinning. At PC content below 30%, the PC domains were small and evenly dispersed in the composite nanofibers. As PC content was over 50%, the PC phases became large elongated aggregates dispersed in the composite nanofibers. © 2009 Wiley Periodicals, Inc. J Appl Polym Sci, 2010
Real-time lip synchronization using wavelet network

A real-time synthetic talking head provides a natural communication interface for human-machine interaction. In this paper, two driving schemes for Mandarin are proposed. One is a speech-driven method using wavelet network to map audio signals to visual movements, the other is a hybrid driving scheme making use of linguistic analysis. Based on this framework, a Web browser is successfully built up, in which a virtual newsreader can read Chinese Web articles in real time
Physico-Chemical and Microbial Analysis of Selected Borehole Water in Mahikeng, South Africa

Groundwater is generally considered a “safe source” of drinking water because it is abstracted with low microbial load with little need for treatment before drinking. However, groundwater resources are commonly vulnerable to pollution, which may degrade their quality. An assessment of microbial and physicochemical qualities of borehole water in the rural environs of Mahikeng town, South Africa, was carried out. The study aimed at determining levels of physicochemical (temperature, pH, turbidity and nitrate) and bacteriological (both faecal and total coliform bacteria) contaminants in drinking water using standard microbiology methods. Furthermore, identities of isolates were determined using the API 20E assay. Results were compared with World Health Organisation (WHO) and Department of Water Affairs (DWAF-SA) water quality drinking standards. All analyses for physicochemical parameters were within acceptable limits except for turbidity while microbial loads during spring were higher than the WHO and DWAF thresholds. The detection of Escherichia coli, Salmonella and Klebsiella species in borehole water that was intended for human consumption suggests that water from these sources may pose severe health risks to consumers and is unsuitable for direct human consumption without treatment. The study recommends mobilisation of onsite treatment interventions to protect the households from further possible consequences of using the water.
Attention-Related Eye Vergence Measured in Children with Attention Deficit Hyperactivity Disorder

Recent evidence shows a novel role for eye vergence in orienting attention in adult subjects. Here we investigated whether such modulation in eye vergence by attention is present in children and whether it is altered in children with ADHD compared to control subjects. We therefore measured the angle of eye vergence in children previously diagnosed with ADHD while performing a cue task and compared the results to those from age-matched controls. We observed a strong modulation in the angle of vergence in the control group and a weak modulation in the ADHD group. In addition, in the control group the modulation in eye vergence was different between the informative cue and uninformative cue condition. This difference was less noticeable in the ADHD group. Our study supports the observation of deficient binocular vision in ADHD children. We argue that the observed disruption in vergence modulation in ADHD children is manifest of altered cognitive processing of sensory information. Our work may provide new insights into attention disorders, like ADHD.
Comparative study of traditional requirement engineering and Agile requirement engineering

Traditional RE and Agile RE are two different approaches on the basis of their planning and control mechanism. This Paper distinguishes the Traditional RE and Agile RE. Furthermore it investigates the reasons for which software industries shifted from Traditional RE to Agile RE. Research is carried out by conducting a literature study and finally a case study of software development to evaluate which approach has better success rate than other. With the help of our finding and results we have evaluated that Agile RE performs better than Traditional RE in large organizations where changes evolve throughout the development phase of software life cycle.
Using Google Trends for Influenza Surveillance in South China

Background Google Flu Trends was developed to estimate influenza activity in many countries; however there is currently no Google Flu Trends or other Internet search data used for influenza surveillance in China. Methods and Findings Influenza surveillance data from 2008 through 2011 were obtained from provincial CDC influenza-like illness and virological surveillance systems of Guangdong, a province in south China. Internet search data were downloaded from the website of Google Trends. Pearson's correlation coefficients with 95% confidence intervals (95% CI) were calculated to compare surveillance data and internet search trends. The correlation between CDC ILI surveillance and CDC virus surveillance was 0.56 (95% CI: 0.43, 0.66). The strongest correlation was between the Google Trends term of Fever and ILI surveillance with a correlation coefficient of 0.73 (95% CI: 0.66, 0.79). When compared with influenza virological surveillance, the Google Trends term of Influenza A had the strongest correlation with a correlation coefficient of 0.64 (95% CI: 0.43, 0.79) in the 2009 H1N1 influenza pandemic period. Conclusions This study shows that Google Trends in Chinese can be used as a complementary source of data for influenza surveillance in south China. More research in the future should develop new models using search trends in Chinese language to estimate local disease activity and detect early signals of outbreaks.
Structural response to mutation at a protein-protein interface.

We have crystallised three mutants of the barnase-barstar complex in which interactions across the interface have been deleted by simultaneous mutation of both residues involved in the interaction. Each mutant deletes a different type of interaction at the interface: the first complex bnHis102-->Ala-bsTyr29-->Phe (bn, barnase; bs, barstar), deletes a van der Waals packing interaction; the second complex, bnLys27-->Ala-bsThr42-->Ala, deletes a hydrogen bond; the third, bnLys27-->Ala-bsAsp35-->Ala, deletes a long-range charge-charge interaction. The contribution of each of these side-chains to the stability of the complex is known; the coupling energy between the deleted side-chains is also known. Despite each of the double mutants being significantly destabilised compared with the wild-type, the effects of mutation are local. Only small movements in the main-chain surrounding the sites of mutation and some larger movements of neighbouring side-chains are observed in the mutant complexes. The exact response to mutation is context-dependent and for the same mutant can vary depending upon the environment within the crystal. In some double mutant complexes, interfacial pockets, which are accessible to bulk solvent are formed, whereas interfacial cavities which are isolated from bulk solvent, are formed in others. In all double mutants, water molecules fill the created pockets and cavities. These water molecules mimic the deleted side-chains by occupying positions close to the non-carbon atoms of truncated side-chains and re-making many hydrogen bonds made by the truncated side-chains in the wild-type. It remains extremely difficult, however, to correlate energetic and structural responses to mutation because of unknown changes in entropy and entropy-enthalpy compensation.
Impact of supply-side policies for control of illicit drugs in the face of the AIDS and overdose epidemics: investigation of a massive heroin seizure.

BACKGROUND More than 93% of the nearly $500 million spent annually on Canada's drug strategy goes toward efforts to reduce the illicit drug supply. However, little is known about the effectiveness of this strategy. On Sept. 2, 2000, Canadian police seized approximately 100 kg of heroin in one of the nation's largest-ever seizures of this drug. An ongoing prospective cohort study of injection drug users afforded an opportunity to evaluate the impact of this seizure. METHODS The Vancouver Injection Drug User Study is a prospective cohort study of injection drug users that began in 1996. The present study relied primarily on data acquired from participants who were seen during the 30-day periods immediately before and after the seizure. We compared drug use and behavioural characteristics, heroin and cocaine prices, and participants' reports of whether law enforcement had affected their source of drugs or the types of drugs available on the street, as well as overdoses, in these 2 periods. RESULTS The 138 participants seen before the seizure were similar to the 123 participants seen after the seizure with respect to age, sex, ethnic background, education, HIV serostatus, neighbourhood residence, instability of housing, employment status, use of methadone maintenance therapy and all other measured potential confounders (all p > 0.10). We found no difference in the extent to which participants in the 2 groups reported daily use of heroin, frequency of nonfatal overdoses, or whether law enforcement had affected their source of drugs or the types of drugs available on the street (all p > 0.10). Although we detected no difference in the price of cocaine, the median reported price of heroin went down after the seizure (p = 0.034), which suggests that other shipments compensated for the seizure. External evaluations of deaths from overdoses and heroin purity indicated that the seizure had no impact, nor was any impact seen when the periods of analysis were extended. INTERPRETATION The massive heroin seizure appeared to have no measurable public health benefit. Closer scrutiny of enforcement efforts is warranted to ensure that resources are delivered to the most efficient and cost-effective public health programs.
Hidden Markov Model Based Weighted Likelihood Discriminant for Minimum Error Shape Classification

The goal of this communication is to present a weighted likelihood discriminant for minimum error shape classification. Different from traditional maximum likelihood (ML) methods in which classification is carried out based on probabilities from independent individual class models as is the case for general hidden Markov model (HMM) methods, our proposed method utilizes information from all classes to minimize classification error. Proposed approach uses a hidden Markov model as a curvature feature based 2D shape descriptor. In this contribution we present a generalized probabilistic descent (GPD) method to weight the curvature likelihoods to achieve a discriminant function with minimum classification error. In contrast with other approaches, a weighted likelihood discriminant function is introduced. We believe that our sound theory based implementation reduces classification error by combining hidden Markov model with generalized probabilistic descent theory. We show comparative results obtained with our approach and classic maximum-likelihood calculation for fighter planes in terms of classification accuracies
Fusion at detection level for frontal object perception

Intelligent vehicle perception involves the correct detection and tracking of moving objects. Taking into account all the possible information at early levels of the perception task can improve the final model of the environment. In this paper, we present an evidential fusion framework to represent and combine evidence from multiple lists of sensor detections. Our fusion framework considers the position, shape and appearance information to represent, associate and combine sensor detections. Although our approach takes place at detection level, we propose a general architecture to include it as a part of a whole perception solution. Several experiments were conducted using real data from a vehicle demonstrator equipped with three main sensors: lidar, radar and camera. The obtained results show improvements regarding the reduction of false detections and mis-classifications of moving objects.
Method of extracting characteristic facial expression for monitoring system

We propose a method of extracting characteristic facial expressions from video for monitoring system regarding the elderly. Over the past few years, the number of the elderly living alone has increased; therefore, various systems for monitoring the safety of the elderly have been developed and put into practice. There have been studies on monitoring systems using robots at elderly homes. Such systems are expected to be put into practice. Our proposed method extracts several characteristic facial expression images from video images to estimate the approximate psychological state of the elderly rather than conveying safety information, as with conventional methods. Specifically, facial expression images are extracted using an index of the difference in features between criteria facial image and facial images detected from each frame.
Wide-band resonance reflectors for the visible spectrum

Abstract We present wide-band resonance waveguide reflectors at the visible wavelengths providing nearly 100% reflectance over a range of several tens of nanometres. The reflectors are based on multilayer designs consisting of layers of high and low index materials with a binary grating etched through the stack. We also fabricated an example structure and discuss the fabrication aspects of these elements.
Sentence level emotion tagging

This paper reports the mechanism of sentence level emotion identification based on emotion tagged word level constituents acquired by an automatic classifier applied on the SemEval 2007 Affect Sensing corpus. Basic set of six emotion types, namely, happy, sad, anger, disgust, fear and surprise have been selected for reliable and semi-automatic word level annotation. WordNet Affect lists have been preprocessed using SentiWordNet information for use in the semi-automatic word level emotion annotation process. The Conditional Random Field (CRF) based word level emotion classification has yielded an accuracy of 87.65% on a test set of 250 sentences. Sense based scoring mechanism has been applied for calculating scores of a sentence for each of the six emotion types. Probable sentence level emotion tags have been assigned based on the system produced ordered sense scores. Postprocessing strategies have been adopted for handling negative words in sentence level emotion tagging. The best two emotion tags, with the maximum sense scores, have been assigned to 250 test sentences and an accuracy of 67.2% has been achieved. The sentence level valence has been calculated based on the total sense score of the word level emotion tags. Accuracy, precision and recall are 60.47%, 67.95 and 65.11 respectively for valence identification on 250 test sentences.
Genetic Diversity of Spike, 3a, 3b and E Genes of Infectious Bronchitis Viruses and Emergence of New Recombinants in Korea

The nucleotide sequences of a region including S1, S2, 3a, 3b and E genes of twenty-seven infectious bronchitis virus (IBV) isolates in Korea between 1990–2011 were determined and phylogenetic and computational recombination analyses were conducted. The sizes of coding regions of some genes varied among IBV isolates due to deletion or insertion of nucleotides; the nucleotide similarities of S1, S2, 3a, 3b and E genes among the 27 isolates were 75.9%–100.0%, 85%–100.0%, 64.0%–100.0%, 60.4%–100.0% and 83.1%–100.0%, respectively. According to phylogenetic analysis of S1 gene, the 27 isolates were divided into five genotypes, Mass, Korean-I (K-I), QX-like, KM91-like and New cluster 1. The phylogenetic trees based on the S2, 3a, 3b, E genes and S1-S2-3a-3b-E (S1-E) region nucleotide sequences did not closely follow the clustering based on the S1 sequence. The New cluster 1 prevalent during 2009 and 2010 was not found in 2011 but QX-like viruses became prevalent in 2011. The recombination analysis revealed two new S gene recombinants, 11036 and 11052 which might have been derived from recombinations between the New cluster 1 and QX-like viruses and between the K-I and H120 (vaccine) viruses, respectively. In conclusion, multiple IBV genotypes have co-circulated; QX-like viruses have recurred and new recombinants have emerged in Korea. This has enriched molecular epidemiology information of IBV and is useful for the control of IB in Korea.
Discovering routines from large-scale human locations using probabilistic topic models

In this work, we discover the daily location-driven routines that are contained in a massive real-life human dataset collected by mobile phones. Our goal is the discovery and analysis of human routines that characterize both individual and group behaviors in terms of location patterns. We develop an unsupervised methodology based on two differing probabilistic topic models and apply them to the daily life of 97 mobile phone users over a 16-month period to achieve these goals. Topic models are probabilistic generative models for documents that identify the latent structure that underlies a set of words. Routines dominating the entire group's activities, identified with a methodology based on the Latent Dirichlet Allocation topic model, include “going to work late”, “going home early”, “working nonstop” and “having no reception (phone off)” at different times over varying time-intervals. We also detect routines which are characteristic of users, with a methodology based on the Author-Topic model. With the routines discovered, and the two methods of characterizing days and users, we can then perform various tasks. We use the routines discovered to determine behavioral patterns of users and groups of users. For example, we can find individuals that display specific daily routines, such as “going to work early” or “turning off the mobile (or having no reception) in the evenings”. We are also able to characterize daily patterns by determining the topic structure of days in addition to determining whether certain routines occur dominantly on weekends or weekdays. Furthermore, the routines discovered can be used to rank users or find subgroups of users who display certain routines. We can also characterize users based on their entropy. We compare our method to one based on clustering using K-means. Finally, we analyze an individual's routines over time to determine regions with high variations, which may correspond to specific events.
Identify paraffin-embedded brain glioma using terahertz pulsed spectroscopy

The refractive indices, absorption coefficients and complex dielectric constants spectra of paraffin-embedded brain glioma and normal brain tissues have been measured by a terahertz time domain spectroscopy (THz-TDS) system in the range of 0.2 – 2.0 THz. The spectral differences between glioma and normal brain tissues were obtained. Our results indicate that, compared with normal tissue, glioma had higher refractive index, absorption coefficient, and dielectric constant. Based on these results, the suitable frequency components for different methods of glioma imaging (intensity imaging, coherent imaging and terahertz pulsed imaging) are analyzed.
A Novel NAC Transcription Factor, PbeNAC1, of Pyrus betulifolia Confers Cold and Drought Tolerance via Interacting with PbeDREBs and Activating the Expression of Stress-Responsive Genes

NAC (NAM, ATAF, and CUC) transcription factors are important regulator in abiotic stress and plant development. However, knowledge concerning the functions of plant NAC TFs functioning in stress tolerance and the underlying molecular basis are still limited. In this study, we report functional characterization of the NAC TF, PbeNAC1, isolated from Pyrus betulifolia. PbeNAC1 were greatly induced by cold and drought, while salt stress had little effect on expression. PbeNAC1 was localized in the nuclei showed transactivation activity. Overexpression of PbeNAC1 conferred enhanced tolerance to multiple stresses, including cold and drought, as supported by lower levels of reactive oxygen species, higher survival rate, higher activities of enzymes, relative to wild-type (WT). In addition, steady-state mRNA levels of 15 stress-responsive genes coding for either functional or regulatory proteins were higher levels in the transgenic plants relative to the WT with drought or cold treatment. yeast two-hybrid (Y2H) and bimolecular fluorescence complementation (BiFC) assays showed that PbeNAC1 protein can physically interact with PbeDREB1 and PbeDREB2A. Taken together, these results demonstrate that pear PbeNAC1 plays an important role in improving stress tolerance, possibly by interacting with PbeDREB1 and PbeDREB2A to enhance the mRNA levels of some stress-associated genes.
GC Content Increased at CpG Flanking Positions of Fish Genes Compared with Sea Squirt Orthologs as a Mechanism for Reducing Impact of DNA Methylation

Background Fractional DNA methylation in sea squirts evolved to global DNA methylation in fish. The impact of global DNA methylation is reflected by more CpG depletions and/or more A/T to G/C changes at CpG flanking positions due to context-dependent mutations of methylated CpG sites. Methods and Findings In this report, we demonstrate that the sea squirt genes have undergone more CpG to TpG/CpA substitutions than the fish orthologs using homologous fragments from orthologous genes among Ciona intestinalis, Ciona savignyi, fugufish and zebrafish. To avoid premature transcription, the TGA sites derived from CGA were largely converted to TGG in sea squirt genes. By contrast, a significant increment of GC content at CpG flanking positions was shown in fish genes. The positively selected A/T to G/C substitutions, in combination with the CpG to TpG/CpA substitutions, are the sources of the extremely low CpG observed/expected ratios in vertebrates. The nonsynonymous substitutions caused by the GC content increase have resulted in frequent amino acid replacements in the directions that were not noticed previously. Conclusion The increased GC content at CpG flanking positions can reduce CpG loss in fish genes and attenuate the impact of DNA methylation on CpG-containing codons, probably accounting for evolution towards vertebrates.