Miracle-dz/UniFAR-FTUs huggingface dataset:
Homotypic and Endothelial Cell Adhesions via N-Cadherin Determine Polarity and Regulate Migration of Vascular Smooth Muscle Cells

Migration of smooth muscle cells from the arterial media to the intima is central to several vascular pathologies including restenosis. This study demonstrates that, like directional migration of other cells, smooth muscle migration is accompanied by a dramatic, polarized reorganization of the cell cytoskeleton that is accompanied by activation of the Rho GTPase Cdc42 and inactivation of glycogen synthase kinase-3&bgr;. We also show, for the first time, that signals generated at the posterior-lateral aspects of wound edge cells by the cell-cell adhesion molecule N-cadherin are required for polarization and rapid migration of vascular smooth muscle. Importantly, when a cohort of migrating smooth muscle cells encounter CHO cells or the A10 smooth muscle cell line, neither of which expresses N-cadherin, polarity is only slightly suppressed. However, when smooth muscle cells encounter stably transfected, N-cadherin-expressing A10 cells or (N-cadherin-expressing) vascular endothelium, they rapidly lose their polarized phenotype. The latter finding indicates that endothelial signaling to innermost smooth muscle cells via N-cadherin may be critical to normal vessel wall stability. We infer that asymmetrical distribution of N-cadherin is necessary for the establishment of cell polarity during migration and that N-cadherin ligation is highly effective in abrogating polarized migration. Finally, we showed that endothelial cell polarity does not depend on N-cadherin; therefore, this molecule may be an attractive target for therapies to prevent restenosis without suppressing endothelial repair and risking late thrombosis.
The Relationship between the Perception and Production of Coarticulation during a Sound Change in Progress

The present study is concerned with lax /ʊ/-fronting in Standard British English and in particular with whether this sound change in progress can be attributed to a waning of the perceptual compensation for the coarticulatory effects of context. Younger and older speakers produced various monosyllables in which /ʊ/ occurred in different symmetrical consonantal contexts. The same speakers participated in a forced-choice perception experiment in which they categorized a synthetic /ᶦ-ʊ/ continuum embedded in fronting /s_t/ and non-fronting /w_l/ contexts. /ʊ/ was shown to be fronted for the younger age group in both production and perception. Although there was no conclusive evidence that younger listeners compensated less for coarticulation than did older listeners, the size of the coarticulatory influence of consonantal context on /ʊ/ in perception was found to be smaller than in production for the younger than for the older group. The findings are consistent with a model of sound change in which the perceptual compensation for coarticulation wanes ahead of changes that take place to coarticulatory relationships in speech production. As a result, the perception and production of coarticulation may be unusually misaligned with respect to each other for some speaker-listeners participating in a sound change in progress.
ODNOS POLITIČKE KORUPCIJE I JAVNIH INVESTICIJA – SLUČAJ HRVATSKE

Cilj je ovoga rada pokazati moguce ucinke politicke korupcije na javne investicije, s posebnim osvrtom na Hrvatsku. Na pocetku rada promatra se korelaciju između javnih investicija i korupcije u zemljama Europske unije. Potom se prelazi na slucaj Hrvatske, pri cemu se razmatra kvaliteta infrastrukture, velicina kapitalnih javnih rashoda, nepravilnosti u javnoj nabavi, uloga države u sektoru građevinarstva i ucinci politicke korupcije na javne kapitalne projekte. Rad pokazuje da zemlje s visokim javnim investicijama imaju i vecu (politicku) korupciju. Unatoc visokom udjelu javnih kapitalnih rashoda u BDP-u, Hrvatska ima infrastrukturu koja je u losem stanju. Sudeci po velicini i strukturi javnih investicija te slabim mehanizmima kontrole, u Hrvatskoj na podrucju javnih kapitalnih projekata postoji dosta prilika za politicku korupciju, za koje postoje jake indicije da se i iskoristavaju. Umjesto u nove, vrlo vidljive, projekte, nositelji vlasti trebali bi usmjeriti vise pozornosti i novca u održavanje i poboljsanje postojece infrastrukture, jer u Hrvatskoj milijarde kuna metaforicki i doslovno otjecu. Fokusiranje na suzbijanje politicke korupcije imalo bi znatne ucinke na racionalizaciju proracunskih rashoda i na ekonomski rast.
Evaluation of the Intel® Core™ i7 Turbo Boost feature

The Intel® Core™ i7 processor code named Nehalem has a novel feature called Turbo Boost which dynamically varies the frequencies of the processor's cores. The frequency of a core is determined by core temperature, the number of active cores, the estimated power and the estimated current consumption. We perform an extensive analysis of the Turbo Boost technology to characterize its behavior in varying workload conditions. In particular, we analyze how the activation of Turbo Boost is affected by inherent properties of applications (i.e., their rate of memory accesses) and by the overall load imposed on the processor. Furthermore, we analyze the capability of Turbo Boost to mitigate Amdahl's law by accelerating sequential phases of parallel applications. Finally, we estimate the impact of the Turbo Boost technology on the overall energy consumption. We found that Turbo Boost can provide (on average) up to a 6% reduction in execution time but can result in an increase in energy consumption up to 16%. Our results also indicate that Turbo Boost sets the processor to operate at maximum frequency (where it has the potential to provide the maximum gain in performance) when the mapping of threads to hardware contexts is sub-optimal.
Prevention and treatment of medical and neurological complications in patients with aneurysmal subarachnoid haemorrhage

Treatment of patients with aneurysmal subarachnoid haemorrhage not only involves securing the aneurysm by endovascular coiling or surgical clipping but also prevention and treatment of the medical and neurological complications of the bleed. These acutely ill patients should be looked after in specialised centres by a multidisciplinary team that is available 24 h a day, 7 days a week. No medical intervention is known to improve outcome by reducing the risk of rebleeding but oral nimodipine should be standard care to prevent delayed cerebral ischaemia. For patients who develop delayed ischaemia, there is no evidence that hypervolaemia, haemodilution, hypertension, balloon angioplasty or intra-arterial vasodilating agents improve outcome. Lumbar puncture is a safe and reasonably effective way of treating those forms of acute hydrocephalus that are not caused by intraventricular obstruction.
Effective and Efficient Methodologies for Social Network Analysis

Performing social network analysis (SNA) requires a set of powerful techniques to analyze structural information contained in interactions between social entities. Many SNA technologies and methodologies have been developed and have successfully provided significant insights for small-scale interactions. However, these techniques are not suitable for analyzing large social networks, which are very popular and important in various fields and have special structural properties that cannot be obtained from small networks or their analyses. There are a number of issues that need to be further studied in the design of current SNA techniques. A number of key issues can be embodied in three fundamental and critical challenges: long processing time, large computational resource requirements, and network dynamism. In order to address these challenges, we discuss an anytime-anywhere methodology based on a parallel/distributed computational framework to effectively and efficiently analyze large and dynamic social networks. In our methodology, large social networks are decomposed into intra-related smaller parts. A coarse-level of network analysis is built based on comprehensively analyzing each part. The partial analysis results are incrementally refined over time. Also, during the analyses process, network dynamic changes are effectively and efficiently adapted based on the obtained results. In order to evaluate and validate our methodology, we implement our methodology for a set of SNA metrics which are significant for SNA applications and cover a wide range of difficulties. Through rigorous theoretical and experimental analyses, we
Cooperative multithreading on embedded multiprocessor architectures enables energy-scalable design

We propose an embedded multiprocessor architecture and its associated thread-based programming model. Using a cycle-true simulation model of this architecture, we are able to estimate energy savings for a threaded C program. The savings are obtained by voltage- and frequency-scaling of the individual processors. We port a fingerprint minutiae detection application onto this architecture, and show the resulting performance on single-, dual-, and quad-processor configurations. The energy-scaled quad-processor version results in a 77 % energy reduction over the single-processor non-scaled implementation, at only a 2.2 % degradation in cycle count.
Quantifying the Impact of Human Immunodeficiency Virus-1 Escape From Cytotoxic T-Lymphocytes

HIV-1 escape from the cytotoxic T-lymphocyte (CTL) response leads to a weakening of viral control and is likely to be detrimental to the patient. To date, the impact of escape on viral load and CD4+ T cell count has not been quantified, primarily because of sparse longitudinal data and the difficulty of separating cause and effect in cross-sectional studies. We use two independent methods to quantify the impact of HIV-1 escape from CTLs in chronic infection: mathematical modelling of escape and statistical analysis of a cross-sectional cohort. Mathematical modelling revealed a modest increase in log viral load of 0.051 copies ml−1 per escape event. Analysis of the cross-sectional cohort revealed a significant positive association between viral load and the number of “escape events”, after correcting for length of infection and rate of replication. We estimate that a single CTL escape event leads to a viral load increase of 0.11 log copies ml−1 (95% confidence interval: 0.040–0.18), consistent with the predictions from the mathematical modelling. Overall, the number of escape events could only account for approximately 6% of the viral load variation in the cohort. Our findings indicate that although the loss of the CTL response for a single epitope results in a highly statistically significant increase in viral load, the biological impact is modest. We suggest that this small increase in viral load is explained by the small growth advantage of the variant relative to the wildtype virus. Escape from CTLs had a measurable, but unexpectedly low, impact on viral load in chronic infection.
Participatory filmmaking with Qur’anic students in Kano, Nigeria: ‘speak good about us or keep quiet!’

‘Participatory’ research is often presented as a means to ‘empower’ stigmatised groups by addressing shame and by promoting attitude changes. Drawing on experiences producing a ‘participatory’ docudrama with traditional Qur’anic students (almajirai) in Kano, northern Nigeria, I reflect on the limits of ‘participatory’ research as a tool for ‘empowerment’. I describe the risks stigmatised groups may incur by participating, and consider to what extent, if at all, it can foster social change. The almajirai have attracted negative attention as presumed victims of child neglect and as ‘cannon fodder’ for Islamic radicalisation. Their participation in the filmmaking gave them an opportunity to voice their concerns and to rebuke those treating them heedlessly. At the same time, they became vulnerable to accusations and suspicions within their communities. To escape the negative connotations of poverty, they deemphasised its role for almajiri enrolment, thus concealing structural inequalities.
Attractive Agents Are More Persuasive

Advances in more ubiquitous human–computer interface technologies have resulted in the increased use of virtual agents, thus highlighting the need to understand the impact these artificial entities have on the human user in terms of how the user both perceives and behaves toward these characters. We report the results of an experiment based on the Desert Survival task, where the effect of agent attractiveness on persuasion was tested. The results suggest that the attractive agent was significantly more persuasive in changing the participant's opinion than was the unattractive agent. Furthermore, greater behavioral change was observed when the participant interacted with the attractive agent, in terms of persuasiveness, including the attribution of more positive personality traits toward this agent (the attractiveness stereotype). These findings provide further evidence of the powerful influence of the agent's physical appearance on the human user in an interaction-based context. We conclude by pointing toward future research and potential within the area.
Loop Quantum Cosmology

Quantum gravity is expected to be necessary in order to understand situations where classical general relativity breaks down. In particular in cosmology one has to deal with initial singularities, i.e., the fact that the backward evolution of a classical space-time inevitably comes to an end after a finite amount of proper time. This presents a breakdown of the classical picture and requires an extended theory for a meaningful description. Since small length scales and high curvatures are involved, quantum effects must play a role. Not only the singularity itself but also the surrounding space-time is then modified. One particular realization is loop quantum cosmology, an application of loop quantum gravity to homogeneous systems, which removes classical singularities. Its implications can be studied at different levels. Main effects are introduced into effective classical equations which allow to avoid interpretational problems of quantum theory. They give rise to new kinds of early universe phenomenology with applications to inflation and cyclic models. To resolve classical singularities and to understand the structure of geometry around them, the quantum description is necessary. Classical evolution is then replaced by a difference equation for a wave function which allows to extend space-time beyond classical singularities. One main question is how these homogeneous scenarios are related to full loop quantum gravity, which can be dealt with at the level of distributional symmetric states. Finally, the new structure of space-time arising in loop quantum gravity and its application to cosmology sheds new light on more general issues such as time.
Genome-wide searching with base-pairing kernel functions for noncoding RNAs: computational and expression analysis of snoRNA families in Caenorhabditis elegans

Despite the accumulating research on noncoding RNAs (ncRNAs), it is likely that we are seeing only the tip of the iceberg regarding our understanding of the functions and the regulatory roles served by ncRNAs in cellular metabolism, pathogenesis and host-pathogen interactions. Therefore, more powerful computational and experimental tools for analyzing ncRNAs need to be developed. To this end, we propose novel kernel functions, called base-pairing profile local alignment (BPLA) kernels, for analyzing functional ncRNA sequences using support vector machines (SVMs). We extend the local alignment kernels for amino acid sequences in order to handle RNA sequences by using STRAL's; scoring function, which takes into account sequence similarities as well as upstream and downstream base-pairing probabilities, thus enabling us to model secondary structures of RNA sequences. As a test of the performance of BPLA kernels, we applied our kernels to the problem of discriminating members of an RNA family from nonmembers using SVMs. The results indicated that the discrimination ability of our kernels is stronger than that of other existing methods. Furthermore, we demonstrated the applicability of our kernels to the problem of genome-wide search of snoRNA families in the Caenorhabditis elegans genome, and confirmed that the expression is valid in 14 out of 48 of our predicted candidates by using qRT-PCR. Finally, highly expressed six candidates were identified as the original target regions by DNA sequencing.
An integral membrane green fluorescent protein marker, Us9-GFP, is quantitatively retained in cells during propidium iodide-based cell cycle analysis by flow cytometry.

Previously, we described GFP-spectrin, a membrane-localized derivative of the green fluorescent protein that can be employed as a marker during the simultaneous identification of transfected cells and cell cycle analysis by flow cytometry (Kalejta et al., Cytometry 29: 286-291, 1997). A membrane-anchored GFP fusion protein is necessary because the ethanol permeabilization step required to achieve efficient propidium iodide staining allows cytoplasmic GFP to leach out of the cell. However, viable cells expressing GFP-spectrin are not as bright as cells expressing cytoplasmic GFP and their fluorescence intensity is further diminished after ethanol treatment. Here, we demonstrate that the fluorescence intensity of cells expressing an integral membrane GFP fusion protein (Us9-GFP) is similar to that of cells expressing cytoplasmic GFP and is quantitatively maintained in cells after ethanol treatment. By allowing an accurate assessment of the expression level of GFP, Us9-GFP allows a more precise analysis of the effects of a cotransfected plasmid on the cell cycle and thus represents an improvement upon the original membrane-associated GFP fusion proteins employed in this assay.
Complex stock trading strategy based on Particle Swarm Optimization

Trading rules have been utilized in the stock market to make profit for more than a century. However, only using a single trading rule may not be sufficient to predict the stock price trend accurately. Although some complex trading strategies combining various classes of trading rules have been proposed in the literature, they often pick only one rule for each class, which may lose valuable information from other rules in the same class. In this paper, a complex stock trading strategy, namely weight reward strategy (WRS), is proposed. WRS combines the two most popular classes of trading rules-moving average (MA) and trading range break-out (TRB). For both MA and TRB, WRS includes different combinations of the rule parameters to get a universe of 140 component trading rules in all. Each component rule is assigned a start weight and a reward/penalty mechanism based on profit is proposed to update these rules' weights over time. To determine the best parameter values of WRS, we employ an improved time variant Particle Swarm Optimization (PSO) algorithm with the objective of maximizing the annual net profit generated by WRS. The experiments show that our proposed WRS optimized by PSO outperforms the best moving average and trading range break-out rules.
A survey of news recommendation approaches

World Wide Web has reformed the traditional model of news reading. Online news reading has turned out to be extremely famous as the Internet provides an enormous number of sources to access news articles. News recommendation system is an automated approach built to provide the most appropriate information on the vast amount of data on the internet which represents the user's needs without the manual exertion of users. The fundamental thought behind the news recommender system is to assist man-machine interaction. In this paper, we survey various approaches to the news recommendation system and provide qualitative analysis of them, to bring insight to research scope in this direction.
Block-Diagonal Sparse Representation by Learning a Linear Combination Dictionary for Recognition

In a sparse representation based recognition scheme, it is critical to learn a desired dictionary, aiming both good representational power and discriminative performance. In this paper, we propose a new dictionary learning model for recognition applications, in which three strategies are adopted to achieve these two objectives simultaneously. First, a block-diagonal constraint is introduced into the model to eliminate the correlation between classes and enhance the discriminative performance. Second, a low-rank term is adopted to model the coherence within classes for refining the sparse representation of each class. Finally, instead of using the conventional over-complete dictionary, a specific dictionary constructed from the linear combination of the training samples is proposed to enhance the representational power of the dictionary and to improve the robustness of the sparse representation model. The proposed method is tested on several public datasets. The experimental results show the method outperforms most state-of-the-art methods.
Characterization and definition of public performance: an application to local government authorities

La caracterisation et la definition de la performance publique: Une application aux collectivites localesUne revue de litterature sur les modeles permettant de piloter la performance dans les organisations publiques nous montre que les auteurs retiennent des visions partielles du concept de performance publique, alors qu’il connait des developpements important dans le secteur public. A l’aide d’une enquete par questionnaires aupres de collectivites locales, nous proposons une caracterisation et une definition de la performance publique. Cette etude permet ainsi d’enrichir les analyses anterieures en depassant une vision partielle de la performance organisationnelle et en integrant les specificites politico-environnementales du secteur public.
A theory and simulation of rhythmic behavior due to reciprocal inhibition in small nerve nets

On the basis of a specific conceptual model of signal processing in neurons, together with some fragmentary arguments and evidence in physiological literature, an elementary theory of a "multivibrator effect" producible by reciprocally inhibiting neurons is developed. The results of exploratory simulation experiments are described, and speculations on the possible role of the multivibrator effect in semiautomatic muscle control systems are presented.
Complete mitochondrial genome of the seven-spotted lady beetle, Coccinella septempunctata (Coleoptera: Coccinellidae)

The complete mitochondrial genome (mitogenome) of the seven-spotted lady beetle, Coccinella septempunctata (Coleoptera: Coccinellidae), which is one of the best known insects capable of predation, is described with an emphasis on the noteworthy composition of the A+T-rich region. The C. septempunctata genome consists of 2 rRNAs, 22 tRNAs, 13 protein-coding genes, and 1 control region, designated as the A+T-rich region in insects. Along with an unusually long A+T-rich region (4469 bp), the 18,965-bp long C. septempunctata mitogenome was the largest in Coleoptera. The A+T-rich region is composed of a 2214-bp long non-repeat region composed of 80.17% A/T nucleotides and a 2256-bp long repeat region composed of 65.71% A/T nucleotides. The repeat region harbors 32 identical 70-bp long tandem repeats plus one 15-bp long incomplete first repeat. These repeat sequences may possibly have been caused by slipped-strand mispairing and unequal crossing-over events during DNA replication.