Miracle-dz/UniFAR-FTUs huggingface dataset:
LncRNA TUG1 serves an important role in hypoxia-induced myocardial cell injury by regulating the miR-145-5p-Binp3 axis

The aim of the present study was to investigate the function of long non-coding RNA TUG1 in hypoxia-induced myocardial cell injury and to explore the potential molecular mechanisms. The cardiomyocyte cell line H9c2 was cultured under hypoxic and normoxic conditions. TUG1 expression under hypoxic conditions was then detected. The effects of TUG1 overexpression on viability, apoptosis, migration and invasion were assayed. In addition, the microRNA (miR)-145-5p expression was detected. Following H9c2 cell transfection with miR-145-5p mimics, the H9c2 cell viability, apoptosis, migration and invasion were also detected. Additionally, the target gene of miR-145-5p was assayed by Luciferase reporter assay. The protein expressions of Wnt-3a, Wnt5a, and β-catenin in H9c2 cells under hypoxic conditions were also determined. The results revealed that hypoxia induced injury in H9c2 cells, including inhibiting cell viability, migration and invasion, and promoting cell apoptosis. Overexpression of TUG1 aggravated hypoxia-induced injury in H9c2 cells. In addition, miR-145-5p was negatively regulated by TUG1, and TUG1 overexpression aggravated hypoxia-induced injury via the downregulation of miR-145-5p. Furthermore, B-cell lymphoma 2 interacting protein 3 (Bnip3) was a target of miR-145-5p, and overexpression of Bnip3 aggravated hypoxia-induced cell injury by activating Wnt/β-catenin signaling pathways in H9c2 cells. In conclusion, overexpression of TUG1 aggravated hypoxia-induced injury in cardiomyocytes by regulating the miR-145-5p-Binp3 axis. Activation of the Wnt/β-catenin signaling pathway may be a key mechanism to mediate the role of TUG1 in regulating hypoxia-induced myocardial injury. TUG1 may be an effective diagnostic marker and therapeutic target for myocardial ischemia.
Image Fusion With Cosparse Analysis Operator

The letter addresses the image fusion problem, where multiple images captured with different focus distances are to be combined into a higher quality all-in-focus image. Most current approaches for image fusion strongly rely on the unrealistic noise-free assumption used during the image acquisition, and then yield limited fusion robustness. In our approach, we formulate the multifocus image fusion problem in terms of an analysis sparse model, and simultaneously perform the restoration and fusion of multifocus images. Based on this model, we propose an analysis operator learning, and define a novel fusion function to generate an all-in-focus image. Experimental evaluations confirm the effectiveness of the proposed fusion approach both visually and quantitatively, and show that our approach outperforms the state-of-the-art fusion methods.
Modèles de calcul sur les réels, résultats de comparaison. (Computation on the reals.Comparison of some models)

Il existe de nombreux modeles de calcul sur les reels. Ces differents modeles calculent diverses fonctions, certains sont plus puissants que d'autres, certains sont deux a deux incomparables. Le calcul sur les reels est donc de ce point de vue bien different du calcul sur les entiers qui est unifie par la these de Church-Turing affirmant que tous les modeles raisonnables calculent les memes fonctions. Nous montrons des equivalences entre les fonctions recursivement calculables et une certaine classe de fonctions R-recursives et entre les fonctions GPAC-calculables et les fonctions recursivement calculables. Nous montrons egalement une hierarchie de classes de fonctions R-recursives qui caracterisent les fonctions elementairement calculables, les fonctions de la hierarchie de Grzegorczyk et les fonctions recursivement calculables a l'aide d'un operateur de limite. Ces resultats constituent donc une avancee vers une eventuelle unification des modeles de calcul sur les reels
Autonomous Online Expansion for the Environmental Applications

In modern greenhouses, several measurement points are required to note down the local climate parameters in different parts of the big greenhouse to make the greenhouse automation system work properly. This paper presents design and development of environmental applications monitoring using ARM7 and ZigBee. For sensing different environmental parameter, a sensor node is developed which has feature of wireless communication using ZigBee trans-receiver. The data sensed by the sensor is digitized by internal ADCs of LPC2138 microcontroller. The microcontroller LPC2138 executes very fast with low power consumption. In this paper we are using the autonomous expansion of the system i.e if one slave which is not in the range of the master but it is in the range of the slave which is in turn is in the range of the master then its contents will be accessible by the master unit. Here we are using different types of sensors such as temperature, light and humidity. We are using ZigBee wireless sensor network as a communication platform for real-time monitoring. This paper summarizes an idea that can be carried out to provide an efficient control mechanism greenhouse through the implementation of an infrastructure of Wireless Sensors Network to control environmental parameters.
Cytomegalovirus, Toxoplasma gondii and Rubella Vertical Transmission Rates According to Mid-trimester Amniocentesis: A Retrospective Study

Objective: To examine vertical transmission rates of Cytomegalovirus, Toxoplasma Gondii and Rubella infections according to amniotic fluid PCR analysis. Methods: A retrospective analysis of mid-trimester amniocenteses performed in in pregnancies with diagnosed maternal infection by Cytomegavirus (CMV), Rubella or Toxoplasma gondii during 1994-2008 was performed. Vertical transmission rates were observed according to the presence of the infectious agent's DNA in the amniotic fluid. A univariate regression model was also performed to investigate possible correlations between transmission and epidemiological parameters. Results: Overall, 7033 amniocenteses were performed during study's period, of which 166 (2.4%) with the indication of maternal infection by CMV, Rubella or Toxoplasma. Mean maternal age was 27.4 ± 2.5 years and the mean gestational age at amniocentesis was 18.7 ± 2.5 weeks. Vertical transmission was observed in 21 cases (12.7%). Transmission rate was 17.3% in cases with infection from CMV, 9.5% from Toxoplasma gondii and 7.8% from Rubella (P = .05). Maternal age was the only parameter being significantly associated with increased risk for vertical transmission (P = .04). Conclusions: According to our results, overall vertical transmission rate marginally exceeds 10%. CMV infection is characterized by relatively higher transplacental transmission rate, while increased maternal age appears to be associated with a higher risk for vertical transmission
Phosphorylation State-Dependent High Throughput Screening of the c-Met Kinase

High-throughput screening (HTS) of ~50,000 chemical compounds against phosphorylated and unphosphorylated c-Met, a tyrosine kinase receptor for hepatocyte growth factor (HGF), was carried out in order to compare hit rates, hit potencies and also to explore scaffolds that might serve as potential leads targeting only the unphosphorylated form of the enzyme. The hit rate and potency for the confirmed hit molecules were higher for the unphosphoryalted form of c-Met. While the target of small molecule inhibitor discovery efforts has traditionally been the phosphorylated form, there are now examples of small molecules that target unphosphorylated kinases. Screening for inhibitors of unphosphorylated kinases may represent a complementary approach for prioritizing chemical scaffolds for hit-to-lead follow ups.
The Controlling Value Boolean Matching

We present here the Controlling Value Boolean Matching based on fault analysis. The problem is to match a Boolean function with don't cares on library cells under arbitrary input permutations and/or input-output phase assignments. Most of the library cells can be represented by tree structure circuits. The approach presented here is suitable for these structures and computes the Boolean matching better than the structural matching used in SIS. It can handle library cells with a general topology and reconvergent paths. The benchmark test shows that the Controlling Value Boolean Matching can be as faster as the structural matching used in SIS.
The Time Is Up: Compression of Visual Time Interval Estimations of Bimodal Aperiodic Patterns

The ability to estimate time intervals subserves many of our behaviors and perceptual experiences. However, it is not clear how aperiodic (AP) stimuli affect our perception of time intervals across sensory modalities. To address this question, we evaluated the human capacity to discriminate between two acoustic (A), visual (V) or audiovisual (AV) time intervals of trains of scattered pulses. We first measured the periodicity of those stimuli and then sought for correlations with the accuracy and reaction times (RTs) of the subjects. We found that, for all time intervals tested in our experiment, the visual system consistently perceived AP stimuli as being shorter than the periodic (P) ones. In contrast, such a compression phenomenon was not apparent during auditory trials. Our conclusions are: first, the subjects exposed to P stimuli are more likely to measure their durations accurately. Second, perceptual time compression occurs for AP visual stimuli. Lastly, AV discriminations are determined by A dominance rather than by AV enhancement.
A matrix usage of load balancing heuristic for shortest path routing

Open shortest path first (OSPF) is a hierarchical interior gateway protocol (IGP) that can routes traffic flows along shortest paths. It splits the load equally at nodes where several outgoing links are on the shortest paths to the same destination. Shortest paths are defined based on a link weights value assigned to each link in the network. OSPF routing suffers from unutilizing network resources, thus appearance of congested links. This research aim is to study the problems of finding another matrix that can replace or minimize the usage of demand matrix. The results show that the routing performance of the new proposed method matrix usage method (MUM) is better than the routing performance of the previous evenly balancing methods (EBH) due to providing a balancing load and optimizing the usage of link with counting selection in the shortest path routing. MUM execution times are also improved comparing with the previous work.
Impersonation: a phonetic case study of the imitation of a voice

In language acquisition it is important to imitate the native speakers of the language. For the young child it is natural to imitate both the language and the behaviour of the culture. Imitation, or adaptation (Markham 1997), is also useful in second language acquisition to learn how to pronounce the words and to learn the prosody of the language. For most people it is difficult to learn to speak a second language in a native-like way after puberty (Larsen- Freeman & Long 1991). The normal young child does not fail in its acquisition and some people seem to have that ability even after puberty. Imitation can also be used for entertainment. Following Markham 1997, I call this type of imitation, when a speaker reproduces another speaker’s voice and speech characteristics, impersonation. For the impersonator it is necessary to be aware of the target speaker’s speech behaviour and characteristic features. Some experiments have been done with animals, birds, and monkeys, in trying to teach these animals a human language by imitating (Klatt & Stefanski 1974; Linell 1978). These experiments have not been completely successful, probably depending on the anatomy of the vocal tract of the animals and since the human brain is much more complex. However Klatt & Stefanski have done some analysis with an Indian mynah bird. They observe that the imitation made by the bird was quite good in the speechlike utterances as evidenced by the acoustic analysis. (Less)
Extending Contact Across Generations: Comparison of Direct and Ancestral Intergroup Contact Effects on Current Attitudes Toward Outgroup Members

There is a growing body of evidence that intergroup relations are affected not only by direct contact with outgroup members, but also by extended contact: the mere knowledge that an ingroup member has a positive relationship with an outgroup. The present article focuses on the transgenerationally transmitted effects of contact, namely the impact of knowledge about ancestors’ contact with outgroup members on descendants’ attitudes toward the outgroup. A correlational study in the Polish–Ukrainian borderland region (N = 288) shows that ancestral intergroup contact – independently from direct intergroup contact – plays a crucial role in the process of improving intergroup attitudes. The mediating mechanisms of perceived similarity of the outgroup to the self and of perspective taking are discussed. Copyright © 2013 John Wiley & Sons, Ltd.
Labels and Labelling in the Field of Educational Leadership

This paper reports on theorising based on developing histories of the field of educational leadership in higher education in the UK. These histories are being constructed through the collection of professional biographies of field members, reading the outputs of the field in the form of journals and books, and analysing the papers from the British Educational Leadership, Management and Administration Society. In this paper I focus on how the field has changed its label over the last forty years from “educational administration” to “educational management”, and more recently “educational leadership”, and the link between labels and knowledge claims. In particular I argue that while there is a continuity of knowledge underpinning this relabelling process there is also a mutation in the form of management in education that has become performance leadership in schools. The latter is official government policy and practitioners are being located in an all‐embracing training framework. The paper argues that kno.
Compelling imagery, unanticipated speech and deceptive memory: Neurocognitive models of auditory verbal hallucinations in schizophrenia

Introduction. The application of neurocognitive models to study schizophrenia has been influential in understanding the nature of this complex and heterogeneous disorder. However, a comprehensive and empirically validated account of auditory hallucinations remains elusive. The aim of this review was to critically assess the current evidence for specific neurocognitive deficits associated with auditory verbal hallucinations (AVHs) in schizophrenia. Methods. A systematic literature search was conducted of research involving three influential cognitive models of auditory hallucinations: those implicating dysfunction in auditory imagery, verbal self-monitoring, and episodic memory. Results. The findings of the review suggested that AVHs have been associated with impaired verbal self-monitoring, impaired memory for self-generated speech, heightened influence of top-down processing on perception, and an externalising response bias. Conclusions. On the basis of the findings of the review a multidimensional model of AVHs is proposed incorporating the identified cognitive deficits and biases.
Large urban zone classification on SPOT-5 imagery with convolutional neural networks

In this paper we address the problem of urban optical imagery classification by developing a convolutional neural network (CNN) approach. We design a custom CNN that operates on local patches in order to produce dense pixel-level classification map. In this work we focus on a comprehensive dataset of 2.5-meter SPOT-5 imagery acquired at different dates and sites. The performance of the proposed model is validated on a five target-class problem and compared with a benchmark random forest classifier with a set of hand-picked features.
2016 Ieee International Conference on Big Data (big Data) Handling Uncertainty in Trajectories of Moving Objects in Unconstrained Outdoor Spaces

— A trajectory is a polygonal line consisting of the positions that a moving object occupies as time passes, and as such, it can be derived by periodically sampling the positions of the object. In this manner, and due to the proliferation of location-sensing devices, it has been possible to create large datasets of trajectories. Using these datasets it is possible to derive much information about the movement patterns of the objects. However, trajectory data is uncertain, and this can negatively impact the accuracy of data mining algorithms used to obtain the movement patterns of objects. One of the sources of trajectory uncertainty is the error inherent to GPS measurements, and another source relates to the fact that in practice many trajectories have sampling points that are on average too far in time, so it is difficult to determine its movement between points. In this paper, we propose a technique called TrajEstU that estimates the trajectory of a moving object in an unconstrained space. The algorithm is applied when there is uncertainty in trajectories due to measurement errors and/or low sampling rates. Experiments show that TrajEstU achieves up to 98% accuracy on real life and synthetic trajectory datasets.
Fusing matching and biometric similarity measures for face diarization in video

This paper addresses face diarization in videos, that is, deciding which face appears and when in the video. To achieve this face-track clustering task, we propose a hierarchical approach combining the strength of two complementary measures: (i) a pairwise matching similarity relying on local interest points allowing the accurate clustering of faces tracks captured in similar conditions, a situation typically found in temporally close shots of broadcast videos or in talk-shows; (ii) a biometric cross-likelihood ratio similarity measure relying on Gaussian Mixture Models (GMMs) modeling the distribution of densely sampled local features (Discrete Cosine Transform (DCT) coefficients), that better handle appearance variability. Experiments carried out on a public video dataset and on the data from the French REPERE challenge demonstrate the effectiveness of our approach in comparison with state-of-the-art methods.
Developing a Framework for Business Intelligence Systems Integration Based on Ontology

Abstract—The paper analyzes the current situation of businessenvironment and business intelligence systems(BIS)framework at first, and studies the theoretics and methodsabout the business intelligence system based on ontology.Based on ontology, this paper proposes an integrationframework for business intelligence systems. A serviceresource based-ontology is proposed in this research, includingthe Data Model Patterns and Ontology mode, which theproblem that face integration of business intelligence systemsbased on different dada sources and structure. Furthermore,based on the knowledge ontology, the essentialities of resourceand the hierarchy relation are presented by a case study andthe construction method of service resource base is given. Itcan help confirm the keystone of the construction of businessintelligence systems.
Treatment of generalized granuloma annulare with dapsone.

To the Editor. — We describe here two patients with generalized granuloma annulare who responded favorably to treatment with dapsone. Report of Cases. —Case 1. — A 16-year-old girl came to us in April 1978 with a two-month history of a progressive asymptomatic papular eruption on her thighs, buttocks, and hips. She was in good health and denied recent illnesses or the ingestion of medications. The eruption consisted of multiple erythematous to slightly yellow, dome-shaped papules ranging in size from 0.5 to 1 cm. Initially, no lesions demonstrated central clearing. A skin biopsy specimen demonstrated histologic changes consistent with granuloma annulare. The patient returned one month later because more lesions had appeared on her arms, legs, and in the original areas. Several lesions were now 1.5 to 2 cm in size and demonstrated central clearing. Findings from laboratory studies, which included a 12-factor automated chemical analysis, complete blood cell (CBC) count,
Assessment of Myocardial Infarction by Cardiac Magnetic Resonance Imaging and Long-Term Mortality

Background Cardiac magnetic resonance imaging provides detailed anatomical information on infarction. However, few studies have investigated the association of these data with mortality after acute myocardial infarction. Objective To study the association between data regarding infarct size and anatomy, as obtained from cardiac magnetic resonance imaging after acute myocardial infarction, and long-term mortality. Methods A total of 1959 reports of “infarct size” were identified in 7119 cardiac magnetic resonance imaging studies, of which 420 had clinical and laboratory confirmation of previous myocardial infarction. The variables studied were the classic risk factors – left ventricular ejection fraction, categorized ventricular function, and location of acute myocardial infarction. Infarct size and acute myocardial infarction extent and transmurality were analyzed alone and together, using the variable named “MET-AMI”. The statistical analysis was carried out using the elastic net regularization, with the Cox model and survival trees. Results The mean age was 62.3 ± 12 years, and 77.3% were males. During the mean follow-up of 6.4 ± 2.9 years, there were 76 deaths (18.1%). Serum creatinine, diabetes mellitus and previous myocardial infarction were independently associated with mortality. Age was the main explanatory factor. The cardiac magnetic resonance imaging variables independently associated with mortality were transmurality of acute myocardial infarction (p = 0.047), ventricular dysfunction (p = 0.0005) and infarcted size (p = 0.0005); the latter was the main explanatory variable for ischemic heart disease death. The MET-AMI variable was the most strongly associated with risk of ischemic heart disease death (HR: 16.04; 95%CI: 2.64-97.5; p = 0.003). Conclusion The anatomical data of infarction, obtained from cardiac magnetic resonance imaging after acute myocardial infarction, were independently associated with long-term mortality, especially for ischemic heart disease death.
Isolation and characterization of mutations in region 1.2 of Escherichia coliσ70

Eubacterial RNA polymerase uses the sigma (σ) subunit for recognition of and transcription initiation from promoter DNA sequences. One family of σ factors includes those related to the primary σ factor from Escherichia coli, σ70. Members of the σ70 family have four highly conserved domains, of which regions 2 to 4 are present in all members. Region 1 can be subdivided into regions 1.1 and 1.2. Region 1.1 affects DNA binding by σ70 alone, as well as transcription initiation by holoenzyme. Region 1.2, present and highly conserved in most sigma factors, has not yet been assigned a putative function, although previous work has demonstrated that it is not required for either association with the core subunits of RNA polymerase or promoter‐specific binding by holoenzyme. We generated random single amino acid substitutions targeted to region 1.2 of E. coliσ70 as well as a deletion of region 1.2, and characterized the behaviour of the mutant σ factors both in vivo and in vitro to investigate the function of region 1.2 during transcription initiation. In this study, we show that mutations in region 1.2 can affect promoter binding, open complex and initiated complex formation and the transition from abortive transcription to elongation.