Miracle-dz/UniFAR-FTUs huggingface dataset:
SciMat: herramienta software para el análisis de la evolución del conocimiento científico. Propuesta de una metodología de evaluación

La tesis doctoral se enmarca dentro del analisis de mapas cientificos (Science Mapping Analysis, en la literatura anglosajona), el cual es una de las lineas fundamentales de la bibliometria y cienciometria. En la tesis doctoral se ha realizado un analisis comparativo de las distintas herramientas para realizar un analisis de mapas cientificos. De este modo, se detectaron las caracteristicas de cada herramienta, asi como sus ventajas e inconvenientes. Los resultados principales de la tesis doctoral han sido dos: por un lado el diseno de una metodologia para el analisis de mapas cientificos que enriquece los resultados con indicadores bibliometricos de calidad, impacto y rendimiento. Ademas la metodologia propuesta se enmarca en un contexto longitudinal para analizar la evolucion de los diversos aspectos estructurales de un campo cientifico. Por otro lado, se ha desarrollado una nueva herramienta software que implementa la metodologia anterior y que asiste al analista en todo el proceso de realizacion del analisis de mapas cientificos.
Quality improvement in the cardiovascular catheterization laboratory in China.

T number of percutaneous coronary interventions (PCI) in China continues to grow, most recently by 14% from 2011 (341 069 cases) to 2012 (388 836 cases). Achievement of maximum benefit-to-risk potential at individual and population levels of this persistently expanding PCI use requires increased focus on quality at pre-, intraand post-procedural stages. To this end, the National Health and Family Planning Commission of China (NHFPC) formulated institutional and personal criteria for PCI performance and regulations for accreditation and supervision in its Management and techniques specifications in cardiovascular interventions (2011 edition). Beyond accreditation, regular monitoring and supervision, internal quality assurance combined with external supervision most effectively strengthens technique management and maximizes quality and patient safety and outcomes. To foster the sharing and discussion of best practices in this area, the upcoming China Interventional Therapeutics (CIT) 2014 congress features a joint symposium with the Society for Cardiovascular Angiography and Intervention (SCAI) on “quality in the cardiovascular catheterization laboratory (CCL). ” In this symposium, SCAI faculty will cover United States (US) perspectives and approaches to quality assurance and will discuss with Chinese colleagues. This issue of the Chinese Medical Journal includes two articles by Latif et al with a US perspective on improvement of quality and safety of care in the CCL, which I trust interventionalists in China will find instructive and useful.
A combined motion and appearance model for human tracking in multiple cameras environment

The aim of this paper is to present an algorithm for multiple object tracking and video summarization in a scene filmed by one or several cameras. We propose a computationally efficient real time human tracking algorithm, which can 1) track objects inside the field of view (FOV) of a camera even in case of occlusions; 2) recognize objects that quit and then return on a camera's FOV; 3) recognize objects passing through different cameras FOV. We propose a simple 1-D appearance model, called vertical feature (VF), view and size invariant, which is stored in a database in order to help object recognition. We combine it with other motion features like position and velocity for real-time tracking. We find the k closest matches of current object and select the one whose predicted position is closest to the current object position. Our algorithm shows good capabilities for objects tracking even with the change of object view angle and also with the partial change of shape. We compare our algorithm with appearance based and motion based algorithms and show the advantage of a combined approach.
Context-dependent Encoding of Descending Neurons in Drosophila

Context-dependent Encoding of Descending Neurons in Drosophila By Jirui Qiu Animals exhibit a wide variety of behaviors. How these behaviors are initiated, sustained, and modulated, though, remains largely unknown. For a substantial number of animals, including Drosophila, descending neurons communicate signals from the brain to local circuits to generate motor outputs. However, little is known about the associations between descending neurons and behavior outputs. Now the combination of optogenetic techniques and an unsupervised measurement of animal behaviors permits us to study the behavioral effects of stimulating individual descending neurons in freely moving Drosophilae. Our study finds evidence supporting the theory that these induced behavioral effects are context-dependency. Previous behavioral statuses can affect the behavioral effects induced by activating individual descending neurons. Our study applies mutual information as a main approach to measuring the correlations between behavioral probability distributions, and to characterizing contextdependency. To further explore the properties of context-dependency, we then apply multiple statistical methods to analyze the experimental results. Based on information theory, we study the general principles of the signal transmission within the neural network and possible theoretical hypotheses for the context-dependency. This thesis aims to provide insights into how the brain modulates animal behaviors, and pave the way toward a deeper understanding toward the functioning of the neural network. Context-dependent Encoding of Descending Neurons in Drosophila
Oxidative metabolism of protocatechuic acid by certain soil pseudomonads: a new ring-fission mechanism.

The ring-fission mechanism determines the subsequent pathway, as follows: Action of protocatechuate oxidase on protocatechuate gives cis8is-fl-carboxymuconate (III) through a variety of intermediates; C2-C4 split of (III) acetyl-CoA and succinate protocatechuate y-carboxy-oc-hydroxymuconic semialdehyde keto-enol oxido-reduction oxido-reduction. This paper is a full account of our finding (Stone & Burton, 1961) that suitable pairs of bivalent metal ions show large synergistic effects on both the initial rate and the final extent of hydrolysis of deoxyribonucleic acid by a streptococcal deoxy- ribonuclease. The enzyme preparation was the same as that used by Potter & Laskowski (1959), whose results indicate that the enzyme is a deoxy-ribonucleate oligonucleotidohydrolase (EC 3.1.4.5). Streptodornase has often been used as a trivial name for the streptococcal deoxyribonucleases, of which Wannamaker (1958) has distinguished three types, produced
miR‐29b negatively regulates human osteoclastic cell differentiation and function: Implications for the treatment of multiple myeloma‐related bone disease

Skeletal homeostasis relies upon a fine tuning of osteoclast (OCL)‐mediated bone resorption and osteoblast (OBL)‐dependent bone formation. This balance is unsettled by multiple myeloma (MM) cells, which impair OBL function and stimulate OCLs to generate lytic lesions. Emerging experimental evidence is disclosing a key regulatory role of microRNAs (miRNAs) in the regulation of bone homeostasis suggesting the miRNA network as potential novel target for the treatment of MM‐related bone disease (BD). Here, we report that miR‐29b expression decreases progressively during human OCL differentiation in vitro. We found that lentiviral transduction of miR‐29b into OCLs, even in the presence of MM cells, significantly impairs tartrate acid phosphatase (TRAcP) expression, lacunae generation, and collagen degradation, which are relevant hallmarks of OCL activity. Accordingly, expression of cathepsin K and metalloproteinase 9 (MMP9) as well as actin ring rearrangement were impaired in the presence of miR‐29b. Moreover, we found that canonical targets C‐FOS and metalloproteinase 2 are suppressed by constitutive miR‐29b expression which also downregulated the master OCL transcription factor, NAFTc‐1. Overall, these data indicate that enforced expression of miR‐29b impairs OCL differentiation and overcomes OCL activation triggered by MM cells, providing a rationale for miR‐29b‐based treatment of MM‐related BD. J. Cell. Physiol. 228: 1506–1515, 2013. © 2012 Wiley Periodicals, Inc.
Partially folded states of the capsid protein of cowpea severe mosaic virus in the disassembly pathway.

The different partially folded states of the capsid protein that appear in the disassembly pathway of cowpea severe mosaic virus (CPSMV) were investigated by examining the effects of hydrostatic pressure, sub-zero temperatures and urea. The conformational states of the coat protein were analyzed by their intrinsic fluorescence, binding of bis(8-anilinonaphthalene-1-sulfonate) (bis-ANS) and susceptibility to trypsin digestion. CPSMV could be disassembled by pressure at 2.5 kbar. Intrinsic fluorescence and hydrodynamic measurements showed that pressure-induced dissociation was completely reversible. Virus pressurization in the presence of ribonuclease revealed that viral RNA was not exposed, since it was not digested by the enzyme, suggesting the maintenance of protein-nucleic acid interactions under pressure. When the temperature was decreased to -10 degrees C under pressure, CPSMV disassembly became an irreversible process and in this condition, viral RNA was completely digested by ribonuclease. These results suggest a relationship between protein-RNA interactions and CPSMV assembly. Bis-ANS binding and trypsin digestion of coat proteins revealed that they assume a different conformation when they are denatured by low temperatures under pressure or than when they are denatured by urea at atmospheric pressure. The results indicate that the coat proteins can exist in at least four states: (1) The native conformation in the virus capsid; (2) bound to RNA when the virus is dissociated by pressure at room temperature, assuming a conformation that retains the information for reassembly; (3) free subunits in a molten-globule conformation when the virus is dissociated by low temperature under pressure; and (4) free subunits completely unfolded by high concentrations of urea.
Genetic Diversity of Native Bradyrhizobia Isolated from Soybeans (Glycine max L.) in Different Agricultural-Ecological-Climatic Regions of India

ABSTRACT Fifty isolates from root nodules of soybean plants sampled in five agricultural-ecological-climatic regions of India were analyzed by PCR-restriction fragment length polymorphism analysis of the 16S rRNA gene, the intergenic spacer region between the 16S and 23S rRNA genes (IGS), and the nifH and nodC genes. Eight haplotypes assigned to the Bradyrhizobium genus were identified, and the genetic diversity was conserved across regions. Sequence analyses of the IGS and the dnaK, glnII, recA, and nifH genes revealed three groups. One of them (26% of isolates) was assigned to Bradyrhizobium liaoningense. A second group (36% of isolates) was identified as B. yuanmingense but likely forms a new biovar able to nodulate soybean plants. The third lineage (38% of isolates) was different from all described Bradyrhizobium species but showed the same symbiotic genotype as B. liaoningense and B. japonicum bv. glycinearum.
Pareto Optimization in Terms of Electromagnetic and Thermal Characteristics of Air-Cooled Asynchronous Induction Machines Applied in Railway Traction Drives

In terms of electromagnetic and thermal parameters, the utilization of asynchronous induction machines applied in railway traction drives is much higher than those used in industrial drives. Therefore, the multi-physics optimization with respect to electromagnetic and thermal behavior is nowadays one of the most important design tasks with such machines. This paper discusses a novel optimization approach considering the Pareto optimal design to improve both the electromagnetic characteristics and the thermal behavior using a sequential coupling of electromagnetic, thermal, as well as fluid dynamics analyses.
Surf - Structural Unduplicated Reach and Frequency: Latent Class Turf and Shapley Value Analyses

Lazarsfeld's Latent Structure Analysis (LSA) is applied to problems in marketing involving the choice of products with maximum customer coverage. The LSA is combined with Total Unduplicated Reach and Frequency (TURF) technique, and also with a tool from cooperative game theory, the Shapley Value (SV), also known as the fuzzy Choquet integral. SV is used for ordering the items by their strength in covering the maximum number of consumers, which provides more stable results than TURF. Structural Unduplicated Reach and Frequency (SURF) analysis is introduced as the LSA segmentation of customers with different preferences across the products. The blending of LSA with TURF and SV yields new abilities of the latent structured TURF and SV. The marketing strategy based on using these techniques permits the identification of the preferred combinations in media or product mix for different population segments.
Building a perceptual visualization architecture

Scientific datasets are often difficult to analyse or visualize, due to their large size and high dimensionality. A multistep approach to address this problem is proposed. Data management techniques are used to identify areas of interest within the dataset. This allows the reduction of a dataset's size and dimensionality, and the estimation of missing values or correction of erroneous entries. The results are displayed using visualization techniques based on perceptual rules. The visualization tools are designed to exploit the power of the low-level human visual system. The result is a set of displays that allow users to perform rapid and accurate exploratory data analysis. In order to demonstrate the techniques, an environmental dataset being used to model salmon growth and migration patterns was visualized. Data mining was used to identify significant attributes and to provide accurate estimates of plankton density. Colour and texture were used to visualize the significant attributes and estimated plankton densities for each month for the years 1956-1964. Experiments run in the laboratory showed that the chosen colours and textures support rapid and accurate element identification, boundary detection, region tracking and estimation. The result is a visualization tool that allows users to quickly locate specific plankton densities and the boundaries they form. Users can compare plankton densities to other environmental conditions like sea surface temperature and current strength. Finally, users can track changes in any of the dataset's attributes on a monthly or yearly basis.
Genomic organization of human JAK2 and mutation analysis of its JH2-domain in leukemia

The Janus kinase family of proteins, with four mammalian members (JAK1, JAK2, JAK3 and TYK2), plays an essential role in the signal transduction pathway from non-catalytic cytokine receptors to the nucleus. We recently reported the involvement of ETV6-JAK2 fusion genes in the development of leukemia of both lymphoid and myeloid origin. Dominant missense mutations of hopscotch, a Drosophila JAK homologue, causing leukemia-like defects were described. One of these mutations affected a conserved residue of the kinase- like JH2 domain and the introduction of this mutation in murine Jak2 resulted in the constitutional activation of its kinase activity. In order to further analyze its role in leukemogenesis, we cloned human JAK2 and determined its genomic organization. Twenty-four exons spanning a region of approximately 150 kb were identified. A mutation analysis of the exons 13 to 19, encoding the kinase-like JH2 domain failed to detect activating mutations in leukemia samples, suggesting that this is a rare event in human leukemia.
Fractional Frequency Reuse Aided Twin-Layer Femtocell Networks: Analysis, Design and Optimization

Femtocells constitute an economical solution conceived for improving the indoor coverage, which are capable of achieving a high network capacity. In order to guarantee a high Spectral Efficiency (SE), femtocells have to reuse the spectrum of macrocells. As a result, the performance of both the femtocells and macrocells may suffer owing to the near-far effects. In this paper, we study a twin-layer cellular networks, where the Macrocell Base Stations (MBSs) employing Fractional Frequency Reuse (FFR) host the Femtocell Base Stations (FBSs). This paper investigates the design, performance analysis and optimization problems of this FFR aided twin-layer network. We firstly assume that the femtocells opt for full spectrum access (FSA). The per-layer outage probability (OP) is derived and the network is optimized for maximizing the macrocell's throughput. We found that the advantage of FFR eroded in dense femtocell-scenarios and the optimized network tends to become a Unity Frequency Reuse (UFR) aided system. We then propose a spectrum swapping access (SSA) strategy for protecting the macrocell's performance and for overcoming the typical near-far problem. Our analysis demonstrates that both the OP of femtocell users in the Cell Centre Region (CCR) and that of the macrocell users in the Cell Edge Region (CER) will be reduced by the proposed SSA. The optimized network using our SSA is more robust to the detrimental impact of femtocells.
Intracellular ATP supports TRPV6 activity via lipid kinases and the generation of PtdIns(4,5)P2

Transient receptor potential vanilloid 6 (TRPV6) channels play an important role in Ca2+ absorption in the intestines. Both phosphatidylinositol 4,5‐bisphosphate [PtdIns(4,5)P2] and cytoplasmic ATP have been proposed to be important for maintaining TRPV6 activity. To evaluate whether PtdIns(4,5)P2 and ATP affect channel activity directly or indirectly, we have used a dual approach, examining channel activity in excised patches and planar lipid bilayers. In excised inside‐out patch‐clamp measurements, ATP reactivated the human TRPV6 channels after current rundown only in the presence of Mg2+. The effect of MgATP was inhibited by 3 structurally different compounds that inhibit type III phosphatidylinositol 4‐kinases (PI4Ks). PtdIns(4,5)P2 also activated TRPV6 in excised patches, while its precursor PtdIns(4)P had only minimal effect. These data demonstrate that MgATP provides substrate for lipid kinases, allowing the resynthesis of PtdIns(4,5)P2. To determine whether PtdIns(4,5)P2 is a direct activator of TRPV6, we purified and reconstituted the channel protein in planar lipid bilayers. The reconstituted channel showed high activity in the presence of PtdIns(4,5)P2, while PtdIns(4)P induced only minimal activity. Our data establish PtdIns(4,5)P2 as a direct activator of TRPV6 and demonstrate that intracellular ATP regulates the channel indirectly as a substrate for type III PI4Ks. —Zakharian, E. , Cao, C. , Rohacs, T. Intracellular ATP supports TRPV6 activity via lipid kinases and the generation of PtdIns(4,5)P2. FASEB J. 25, 3915–3928 (2011). www.fasebj. org
Detection and Characterization of Tendon Abnormalities With Multidetector Computed Tomography

Abstract With recent advances in multidetector computed tomography (MDCT) acquisition and reconstruction options, MDCT can now be used successfully for evaluating tendon abnormalities. In this article, MDCT protocol optimization for the imaging of tendons is underscored, and applications of MDCT for assessing tendon pathology are highlighted. Although our retrospective experience of CT imaging with 2-dimensional multiplanar reconstructions and 3-dimensional postprocessing techniques is reviewed, potential applications for newer CT technologies, including dual-energy CT and 4-dimensional CT imaging of the peripheral tendons, are also discussed.
Big data processing and analysis platform for condition monitoring of electric power system

This paper presents a preliminary study of developing a novel platform for big data management, processing and analysis of modern power systems. The framework comprises a big data acquisition subsystem, a big data analysis subsystem, a decision-making assistance subsystem and an information integration subsystem. For the big data management system, a novel structure is designed according to three different data resources, including database, data files and data stream. Further, powerful open-source computation algorithms and self-developed novel intelligent methods are integrated in the big data analysis system. To be specific, our early work on statistical processing monitoring (Principal Component Analysis (PCA)), advanced modelling methods (Fast Recursive Algorithm (FRA)) and newly developed optimization method (Teaching-Learning Based Optimization (TLBO)) are integrated into a self-developed analysis module. Thus, with the novel big data acquisition structure and data processing engine, the proposed platform can provide a powerful tool for big data analytic based Smart Grid monitoring.
Automatic Detection and Removal of Disfluencies from Spontaneous Speech

Unlike rehearsed and prepared speech, spontaneous speech contains high occurrence of disfluencies, like repetitions, filled pauses, and hesitations. Disfluencies can seriously hamper the word recognition accuracy of an Automatic Speech Recogniser (ASR), by increasing word insertion and deletion and rejection rates. In this paper we introduce signal processing algorithms to automatically identify and remove repetitions and filled pauses from spontaneous speech before passing it to an ASR for transcription. The algorithms are tested with Dragon NaturallySpeaking Speech Recogniser and show significant improvements in the word recognition accuracy, and ensuing reductions in substitution and deletion and insertion errors.
Interaction of TFAP2C with the Estrogen Receptor-α Promoter Is Controlled by Chromatin Structure

Purpose: Transcriptional regulation of estrogen receptor-α (ERα) involves both epigenetic mechanisms and trans-active factors, such as TFAP2C, which induces ERα transcription through an AP-2 regulatory region in the ERα promoter. Attempts to induce endogenous ERα expression in ERα-negative breast carcinomas by forced overexpression of TFAP2C have not been successful. We hypothesize that epigenetic chromatin structure alters the activity of TFAP2C at the ERα promoter. Experimental Design: DNA methylation, histone acetylation, and chromatin accessibility were examined at the ERα promoter in a panel of breast carcinoma cell lines. TFAP2C and polymerase II binding were analyzed by chromatin immunoprecipitation. Epigenetic chromatin structure was altered using drug treatment with 5-aza-2′-deoxycytidine (AZA) and trichostatin A (TSA). Results: The ERα promoter in the ERα-negative lines MDA-MB-231, MCF10A, and MCF7-5C show CpG island methylation, histone 3 lysine 9 deacetylation, and decreased chromatin accessibility compared with ERα-positive cell lines MCF7 and T47-D. Treatment with AZA/TSA increased chromatin accessibility at the ERα promoter and allowed TFAP2C to induce ERα expression in ERα-negative cells. Chromatin immunoprecipitation analysis showed that binding of TFAP2C to the ERα promoter is blocked in ERα-negative cells but that treatment with AZA/TSA enabled TFAP2C and polymerase II binding. Conclusion: We conclude that the activity of TFAP2C at specific target genes depends upon epigenetic chromatin structure. Furthermore, the combination of increasing chromatin accessibility and inducing TFAP2C provides a more robust activation of the ERα gene in ERα-negative breast cancer cells.