Miracle-dz/UniFAR-FTUs huggingface dataset:
Local governance and the local online networked public sphere : enhancing local democracy or politics as usual?

This study examines the potential for the Internet, or more specifically the World Wide Web, to enhance local democracy and local governance by providing a networked public sphere. It is located in post-industrial theories of social and political transformation, which see a new, uncertain and complex society emerging which may transform the political significance of the ? local? Whilst a number of causes are identified as culpable in this process, it is the ICT revolution and the development of the Web in particular, that is seen as possessing a democratising potential that, if realised, may bring greater resilience to geographic localities. The potential of the Web to provide a new networked public sphere is based upon contested views that its topography, its hyperlinked structure, can enable the ordinary citizen? s voice to be heard above those that traditionally dominate political discourse. However, there has been no attention paid to this potential being realised at a local governance level within which, this study argues, a favourable environment should exist for a local online networked public sphere to prosper. Accordingly, this prospect is empirically explored here through a case study of the use made of the Web by a variety of local civic, political and institutional actors during a 2008 local (Manchester, UK) referendum on introducing the largest traffic congestion charging scheme in the country. This research applies a distinctive mixed method approach within a conceptually defined internet mediated domain of local governance. Relational Hyperlink Analysis is used to analyse the structural significance of the captured congestion charge. This analysis uses Social Network Analysis (SNA) and an associated statistical technique, Exponential Random Graph Modelling (ERGM) to render the network visible and understandable. To further illuminate how the network was used by local civic and institutional actors involved in the referendum the research draws upon a network ethnography approach which uses SNA to identify subjects for qualitative investigation. The study offers some evidence of the Web providing ? just enough? links in this local context to suggest the structural existence of a networked public sphere. However, further evidence from the narratives and the statistical model paint an alternative picture. This suggests that, in the main, hyperlinking behaviour and use made of the network corresponds to a ? politics as usual? scenario where cliques are more likely to proliferate and powerful economic and media interests dominate online as they do offline. If the ordinary citizen? s voice is to be heard in this context then there is a requirement for policy intervention to establish a trusted local networked public sphere or online civic space, independent of vested interests but linked to the local governance decision making process. In addition to this there is a requirement for greater education, particularly aimed at senior local governance policy makers, in the culture of online engagement
FFICIENT APPROACH BASED ON EVOLUTIONARY ALGORITHM FOR COVERAGE CONTROL IN HETEROGENEOUS W IRELESS S

Coverage and connectivity are two important requirements in Wireless Sensor Networks (WSNs). In this paper, we address the problem of network coverage and connectivity and propose an energy efficient approach based on genetic evolutionary algorithm for maintaining coverage and connectivity where the sensor nodes can have different sensing ranges and transmission ranges. The proposed algorithm is simulated and it' efficiency is demonstrated via different experiments.
A k-Nearest Neighbor Approach for User Authentication through Biometric Keystroke Dynamics

Keystroke dynamics exhibit people's behavioral features which are similar to hand signatures. A major problem hindering the large scale deployment of this technology is its high FAR (false acceptance rate) and FRR (false rejection rate). A significant progress, in terms of improving the FAR and FRR performance, has been made by the work of Gunetti and Picardi (2005). However, their identification based authentication suffers a severe scalability issue as it needs to verify the input with every training sample of every user within the whole database. In this paper, a k-nearest neighbor approach has been proposed to classify users' keystroke dynamics profiles. For authentication, an input will be checked against the profiles within the cluster which has greatly reduced the verification load. Experiment has demonstrated the same level of FAR and FRR as that of Gunetti and Picardi approach while as high as 66.7% improvement of the authentication speed has been achieved.
Cellular Automata Variation Particle Swarm Optimization Algorithm for Batch Scheduling

The article in order to solve Panel Furniture business of mass customization's batch scheduling, by analyzing production processes, the article proposes parallel machine serial-batching scheduling, in reaction to the problems of flexible production lines batch scheduling. The design is an adaptive Cellular Automat variation Particle Swarm optimization algorithm, which, when used for the single objective test, is better than the current records (For comparison, 30% of the probability finds the optimal solution, using parallel machine scheduling with standard 30 set of data).
Eyespots divert attacks by fish

Eyespots (colour patterns consisting of concentric rings) are found in a wide range of animal taxa and are often assumed to have an anti-predator function. Previous experiments have found strong evidence for an intimidating effect of eyespots against passerine birds. Some eyespots have been suggested to increase prey survival by diverting attacks towards less vital body parts or a direction that would facilitate escape. While eyespots in aquatic environments are widespread, their function is extremely understudied. Therefore, we investigated the protective function of eyespots against attacking fish. We used artificial prey and predator-naive three-spined sticklebacks (Gasterosteus aculeatus) as predators to test both the diversion (deflection) and the intimidation hypothesis. Interestingly, our results showed that eyespots smaller than the fish’ own eye very effectively draw the attacks of the fish towards them. Furthermore, our experiment also showed that this was not due to the conspicuousness of the eyespot, because attack latency did not differ between prey items with and without eyespots. We found little support for an intimidating effect by larger eyespots. Even though also other markings might misdirect attacks, we can conclude that the misdirecting function may have played an important role in the evolution of eyespots in aquatic environments.
A Reconfigurable Testbed Environment for Spacecraft Autonomy

A key goal of NASA's New Millennium Program is the development of technology for increased spacecraft on-board autonomy. Achievement of this objective requires the development of a new class of ground-based automony testbeds that can enable the low-cost and rapid design, test, and integration of the spacecraft autonomy software. This paper describes the development of an Autonomy Testbed Environment (ATBE) for the NMP Deep Space I comet/asteroid rendezvous mission.
Prothymosin-α Variants Elicit Anti-HIV-1 Response via TLR4 Dependent and Independent Pathways

Background Prothymosin α (ProTα) (isoform 2: iso2) is a widely distributed, small acidic protein with intracellular and extracellular-associated functions. Recently, we identified two new ProTα variants with potent anti-HIV activity from CD8+ T cells and cervicovaginal lavage. The first is a splice variant of the ProTα gene known as isoB and the second is the product of ProTα pseudogene 7 (p7). Similarly to iso2, the anti-HIV activity of both variants is mediated by type I IFN. Here we tested whether the immunomodulatory activity of isoB and p7 are also TLR4 dependent and determined their kinetic of release in response to HIV-1 infection. Methods Type I, type III, TNF-α and IL-6 mRNA inducing activity was determined in macrophages from wild type and TLR4 knockout mice treated with recombinant ProTα variants. Supernatants from mock and HIV infected cells were analyzed by mass spectrometry in positive and negative modes for the presence of ProTα variants. In silico structural and functional analysis of ProTα variants were performed. Results We show that both isoB and p7 upregulate IFN-β, IFN-λ1, IL-6, TNF-α and RANTES mRNAs in primary human macrophages. The potent stimulation of IFN-β by the recombinant ProTα variants in human macrophages is dependent on the TLR4 pathway, whereas the induction of TNF-α and IL-6 may also occur independently of TLR4, suggesting the interaction of ProTα variants with other signaling molecules/receptors. In silico analyses confirmed that the novel isoB and p7 variants are intrinsically disordered proteins, which lack the NLS and mass spectrometry showed release of ProTα variants within minutes post HIV-1 infection. These features are consistent with the function of ProTα variants as damage associate molecular patterns (DAMPs). Conclusions Our findings indicate that ProTα variants strongly inhibit viral replication mainly, but not exclusively, through TLR4 signaling and that they are released within minutes of viral infection suggesting that they may function as DAMPs.
Inhibition of Regulatory Volume Decrease Enhances the Cytocidal Effect of Hypotonic Shock in Hepatocellular Carcinoma

Background: Hypotonic shock induces cytocidal effects through cell rupture, and cancer therapy based on this mechanism has been clinically administered to hepatocellular carcinoma patients. We herein investigated the effectiveness of hypotonic shock combined with the inhibition of regulatory volume decrease as cancer therapy for hepatocellular carcinoma. Methods: Morphological changes in human hepatocellular carcinoma cell lines were observed under a differential interference contrast microscope connected to a high-speed digital video camera. Cell volume changes under hypotonic shock with or without chloride, potassium, or water channel blockers were observed using a high-resolution flow cytometer. In order to investigate cytocidal effects, the number of surviving cells was compared after exposure to hypotonic solution with and without each channel blocker (re-incubation experiment). Results: Video recordings showed that cells exposed to distilled water rapidly swelled and then ruptured. Cell volume measurements revealed regulatory volume decrease under mild hypotonic shock, whereas severe hypotonic shock increased the number of broken fragments as a result of cell rupture. Moreover, regulatory volume decrease was inhibited in cells treated with each channel blocker. Re-incubation experiments showed the cytocidal effects of hypotonic shock in cells exposed to hypotonic solution, and additional treatments with each channel blocker enhanced these effects. Conclusion: The inhibition of regulatory volume decrease with chloride, potassium, or water channel blockers may enhance the cytocidal effects of hypotonic shock in hepatocellular carcinoma. Hypotonic shock combined with the inhibition of regulatory volume decrease was a more effective therapy than hypotonic shock alone.
A Preliminary Study of the Effect of DBD Plasma and Osmolytes on T98G Brain Cancer and HEK Non-Malignant Cells

Non-thermal plasmas are emerging as a novel tool for the treatment of living tissues for biological and medical purpose. In this study, we described the effect of 4 min dielectric barrier discharge (DBD) plasma on both T98G cancer and HEK normal cell lines in the presence of different concentrations of osmolytes. This treatment strategy shows a specific inhibitory effect of a 240 s plasma exposure in the presence of osmolytes against T98G brain cancer cells only, but not on HEK normal cells. Based on these interesting properties of osmolytes, a non-thermal plasma appears to be a potential anticancer treatment strategy for different kinds of cancers in the presence of osmolytes.
Optimization Model for Residential Tiered Electricity Pricing Based on Peak-Valley TOU Price

In recent years, with the shortage of energy supply and tremendous of environmental pressure in China, the price of primary energy such as coal continues to rise, as well as the electricity price. However, the adjustable amplitude and frequency for residential electricity are lower than other industries. In order to construct resource conserving and environment friendly society, to gradually reduce the price of cross-subsidization and guide residents to save electricity, it is necessary to implement the residential tiered electricity pricing. This paper optimizes the model of residential tiered electricity pricing through the introduction of peak-valley TOU price, which lays the foundation for promotion of power system reform.
International collaboration, funding and association with burden of disease in randomized controlled trials in Africa.

OBJECTIVE This study aimed to assess whether randomized controlled trials conducted in Africa with collaborators from outside Africa were more closely associated with health conditions that have a burden of disease that is of specific importance to Africa than with conditions of more general global importance or with conditions important to developed countries. We also assessed whether the source of funding influenced a study's relevance to Africa. METHODS We compared randomized controlled trials performed in Africa that looked at diseases specifically relevant to Africa (as determined by burden of disease criteria) with trials classified as looking at diseases of global importance or diseases important to developed countries in order to assess differences in collaboration and funding. FINDINGS Of 520 trials assessed, 347 studied diseases that are specifically important to Africa; 99 studied globally important diseases and 74 studied diseases that are important to developed countries. The strongest independent predictor of whether a study was of specifically African or global importance was the corresponding author's country of origin: African importance was negatively associated with a corresponding author being from South Africa (odds ratio (OR) = 0.04; 95% confidence interval (CI) = 0.02-0.10) but there was little difference between corresponding authors from other African countries and corresponding authors from countries outside Africa. The importance of a study to Africa was independently associated with having more non-African authors (OR per author = 1.31; 95% CI = 1.08-1.58), fewer trial sites (OR per site = 0.69; 95% CI = 0.50-0.96), and reporting of funding (OR = 2.14; 95% CI = 1.15-4.00). Similar patterns were present in the comparisons of trials studying diseases important to Africa versus those studying diseases important to developed countries with stronger associations overall. When funding was reported, private industry funding was negatively associated with African importance compared with global importance (OR = 0.31, P= 0.008 for African importance and OR = 0.51, P= 0.57 for importance for developed countries). CONCLUSION The relevance to Africa of trials conducted in Africa was not adversely affected by collaboration with non-African researchers but funding from private industry was associated with a decreased emphasis on diseases relevant to Africa.
Fast Approximation Algorithms for Near-optimal Large-scale Network Monitoring

We study the problem of optimal traffic prediction and monitoring in large-scale networks. Our goal is to determine which subset of K links to monitor in order to "best" predict the traffic on the remaining links in the network. We consider several optimality criteria. This can be formulated as a combinatorial optimization problem, belonging to the family of subset selection problems. Similar NP-hard problems arise in statistics, machine learning and signal processing. Some include subset selection for regression, variable selection, and sparse approximation. Exact solutions are computationally prohibitive. We present both new heuristics as well as new efficient algorithms implementing the classical greedy heuristic - commonly used to tackle such combinatorial problems. Our approach exploits connections to principal component analysis (PCA), and yields new types of performance lower bounds which do not require submodularity of the objective functions. We show that an ensemble method applied to our new randomized heuristic algorithm, often outperforms the classical greedy heuristic in practice. We evaluate our algorithms under several large-scale networks, including real life networks.
De novo characterization of the Timema cristinae transcriptome facilitates marker discovery and inference of genetic divergence

Adaptation to different ecological environments can promote speciation. Although numerous examples of such ‘ecological speciation’ now exist, the genomic basis of the process, and the role of gene flow in it, remains less understood. This is, at least in part, because systems that are well characterized in terms of their ecology often lack genomic resources. In this study, we characterize the transcriptome of Timema cristinae stick insects, a system that has been researched intensively in terms of ecological speciation, but for which genomic resources have not been previously developed. Specifically, we obtained >1 million 454 sequencing reads that assembled into 84 937 contigs representing approximately 18 282 unique genes and tens of thousands of potential molecular markers. Second, as an illustration of their utility, we used these genomic resources to assess multilocus genetic divergence within both an ecotype pair and a species pair of Timema stick insects. The results suggest variable levels of genetic divergence and gene flow among taxon pairs and genes and illustrate a first step towards future genomic work in Timema.
Articles by Latin American Authors in Prestigious Journals Have Fewer Citations

Background The journal Impact factor (IF) is generally accepted to be a good measurement of the relevance/quality of articles that a journal publishes. In spite of an, apparently, homogenous peer-review process for a given journal, we hypothesize that the country affiliation of authors from developing Latin American (LA) countries affects the IF of a journal detrimentally. Methodology/Principal Findings Seven prestigious international journals, one multidisciplinary journal and six serving specific branches of science, were examined in terms of their IF in the Web of Science. Two subsets of each journal were then selected to evaluate the influence of author's affiliation on the IF. They comprised contributions (i) with authorship from four Latin American (LA) countries (Argentina, Brazil, Chile and Mexico) and (ii) with authorship from five developed countries (England, France, Germany, Japan and USA). Both subsets were further subdivided into two groups: articles with authorship from one country only and collaborative articles with authorship from other countries. Articles from the five developed countries had IF close to the overall IF of the journals and the influence of collaboration on this value was minor. In the case of LA articles the effect of collaboration (virtually all with developed countries) was significant. The IFs for non-collaborative articles averaged 66% of the overall IF of the journals whereas the articles in collaboration raised the IFs to values close to the overall IF. Conclusion/Significance The study shows a significantly lower IF in the group of the subsets of non-collaborative LA articles and thus that country affiliation of authors from non-developed LA countries does affect the IF of a journal detrimentally. There are no data to indicate whether the lower IFs of LA articles were due to their inherent inferior quality/relevance or psycho-social trend towards under-citation of articles from these countries. However, further study is required since there are foreseeable consequences of this trend as it may stimulate strategies by editors to turn down articles that tend to be under-cited.
Logarithmic Laplacian Prior Based Bayesian Inverse Synthetic Aperture Radar Imaging

This paper presents a novel Inverse Synthetic Aperture Radar Imaging (ISAR) algorithm based on a new sparse prior, known as the logarithmic Laplacian prior. The newly proposed logarithmic Laplacian prior has a narrower main lobe with higher tail values than the Laplacian prior, which helps to achieve performance improvement on sparse representation. The logarithmic Laplacian prior is used for ISAR imaging within the Bayesian framework to achieve better focused radar image. In the proposed method of ISAR imaging, the phase errors are jointly estimated based on the minimum entropy criterion to accomplish autofocusing. The maximum a posterior (MAP) estimation and the maximum likelihood estimation (MLE) are utilized to estimate the model parameters to avoid manually tuning process. Additionally, the fast Fourier Transform (FFT) and Hadamard product are used to minimize the required computational efficiency. Experimental results based on both simulated and measured data validate that the proposed algorithm outperforms the traditional sparse ISAR imaging algorithms in terms of resolution improvement and noise suppression.
Performance evaluation of objective video quality metrics on mixed spatiotemporal resolution content

In this paper we present a study of objective video quality metric performance on test sequences which have undergone spatiotemporal resolution scaling prior to and after compression. The bit rates and resolutions tested have been chosen to typify consumer `home theatre' wireless streaming scenarios. The aim of the study is to identify a suitable video quality metric for use in a video streaming system that meets changing bandwidth constraints through adaptation of spatiotemporal resolution in addition to quantisation parameters. We first collect subjective quality scores and then assess correlation of objective metrics with this data. Of the metrics tested, we conclude that MOVIE is the most capable of accurate subjective score prediction under changing spatiotemporal resolution conditions.
In Vitro Evaluation of Biocompatibility of Uncoated Thermally Reduced Graphene and Carbon Nanotube-Loaded PVDF Membranes with Adult Neural Stem Cell-Derived Neurons and Glia

Graphene, graphene-based nanomaterials (GBNs), and carbon nanotubes (CNTs) are being investigated as potential substrates for the growth of neural cells. However, in most in vitro studies, the cells were seeded on these materials coated with various proteins implying that the observed effects on the cells could not solely be attributed to the GBN and CNT properties. Here, we studied the biocompatibility of uncoated thermally reduced graphene (TRG) and poly(vinylidene fluoride) (PVDF) membranes loaded with multi-walled CNTs (MWCNTs) using neural stem cells isolated from the adult mouse olfactory bulb (termed aOBSCs). When aOBSCs were induced to differentiate on coverslips treated with TRG or control materials (polyethyleneimine-PEI and polyornithine plus fibronectin-PLO/F) in a serum-free medium, neurons, astrocytes, and oligodendrocytes were generated in all conditions, indicating that TRG permits the multi-lineage differentiation of aOBSCs. However, the total number of cells was reduced on both PEI and TRG. In a serum-containing medium, aOBSC-derived neurons and oligodendrocytes grown on TRG were more numerous than in controls; the neurons developed synaptic boutons and oligodendrocytes were more branched. In contrast, neurons growing on PVDF membranes had reduced neurite branching, and on MWCNTs-loaded membranes oligodendrocytes were lower in numbers than in controls. Overall, these findings indicate that uncoated TRG may be biocompatible with the generation, differentiation, and maturation of aOBSC-derived neurons and glial cells, implying a potential use for TRG to study functional neuronal networks.