Miracle-dz/UniFAR-FTUs huggingface dataset:
Mathematical modeling reveals that metabolic feedback regulation of SnRK1 and hexokinase is sufficient to control sugar homeostasis from energy depletion to full recovery

Sucrose and trehalose-6-phosphate (T6P) are central compounds in the regulation and orchestration of whole plant metabolism, growth, development, and flowering. To evaluate their highly complex and regulatory interaction with the two conserved sugar and energy sensors Snf1-related protein kinase 1 (SnRK1), an AMPK-related protein kinase, and hexokinase (Hxk), we developed a kinetic model which demonstrates the subtle metabolic control of sugar homeostasis in a wide range of concentrations without the need for changes in gene expression or protein concentrations. Our model approach is based on a comprehensive set of published metabolite concentrations under various conditions and coupled enzyme kinetics accounting for the role of SnRK1 and Hxk in the sugar and energy homeostasis. This allowed us to investigate interactions between sugar phosphates, such as T6P, which are metabolic inhibitors of SnRK1 and Hxk, and sucrose synthesis during the transition from carbon deficiency to availability. Model simulations and sensitivity analyses indicated that slight changes in SnRK1 activity induced by allosteric effectors may be sufficient to explain a dramatic readjustment of metabolic homeostasis. This may comprise up to 10-fold changes in metabolite concentrations. Further, the Hxk/T6P/SnRK1 interaction implemented in the model supports the interpretation of phenotypic and transcriptomic changes observed in Hxk overexpressing plants. Finally, our approach presents a theoretical framework to kinetically link metabolic networks to underlying regulatory instances.
P-Governance Technology: Using Big Data for Political Party Management

Information and Communication Technology (ICT) has been playing a pivotal role since the last decade in developing countries that brings citizen services to the doorsteps and connecting people. With this aspiration ICT has introduced several technologies of citizen services towards all categories of people. The purpose of this study is to examine the Governance technology perspectives for political party, emphasizing on the basic critical steps through which it could be operationalized. We call it P-Governance. P-Governance shows technologies to ensure governance, management, interaction communication in a political party by improving decision making processes using big data. P-Governance challenges the competence perspective to apply itself more assiduously to operationalization, including the need to choose and give definition to one or more units of analysis (of which the routine is a promising candidate). This paper is to focus on research challenges posed by competence to which P-Governance can and should respond include different strategy issues faced by particular sections. Both the qualitative as well as quantitative research approaches were conducted. The standard of citizen services, choice & consultation, courtesy & consultation, entrance & information, and value for money have found the positive relation with citizen's satisfaction. This study results how can be technology make important roles on political movements in developing countries using big data.
Chromosomal aberrations in a consecutive series of childhood rhabdomyosarcoma.

BACKGROUND AND PROCEDURE During a 13-year period, 22 children were treated for rhabdomyosarcoma (RMS). In 18 of these patients chromosome analysis was attempted on material from tumor biopsies, fine needle aspiration biopsies and/or bone marrow samples. RESULTS Clonal chromosome aberrations were detected in 14 cases; 7 of 9 embryonal RMS, 6 of 8 alveolar RMS and in the single case of pleomorphic RMS cytogenetic failures were more frequent in fine needle aspiration biopsies than in tumor biopsies. The characteristic t(2;13) translocation was seen in 2 alveolar RMS but not in any of the other subtypes. In 3 of the embryonal RMS hyperdiploid or hypertetraploid karyotypes with few or no structural rearrangements were seen. In all 3 cases the clinical course was relatively benign, suggesting that certain karyotypic patterns in RMS may be of prognostic significance. CONCLUSIONS Our results add to the evidence that cytogenetic analysis should be an integral part of the diagnostic examinations of children with RMS.
The Role Of The Sparc Acidic Domain And Egf-Like Module In Glioma Migration, Invasion, And Signaling

THE ROLE OF THE SPARC ACIDIC DOMAIN AND EGF-LIKE MO DULE IN GLIOMA MIGRATION, INVASION, AND SIGNALING by HEATHER M. MCCLUNG May 2011 Advisor: Sandra A. Rempel, Ph.D. Major: Pharmacology Degree: Doctor of Philosophy We have previously shown that Secreted Protein Acidic and Rich in Cysteine (SPARC) is upregulated in all astrocytoma grades and increases tumor cell migration and invasion. It is thought that different domains within the protein may regulate SPARC functions, suggesting domain-specific targeting to inhibit invasion. To enhance our understanding of SPARC-mediated invasion, we first confirm, at the protein level, our previous cDNA array results, that SPARC increases expression of the matrix metalloproteases (MMPs) MT1-MMP and MMP-2. We also demonstrate that SPARC increases MMP-2 activation and the secretion and processing of galectin-3, a known target of MMPs. To investigate the roles of specific domains, we used a SPARC-GFP fusion protein and deletion mutant constructs of SPARC-GFP with deletions of either the Acidic Domain (∆Acidic) or EGF-like Module (∆EGF). We confirm our previous findings that SPARC-GFP increased migration and activation of p38 MAPK and HSP27 signaling compared to GFP control cells. ∆Acidic increases cell adhesion and
Plataforma interativa de análise de velocidade em dados sísmicos usando GPUs

Com o avanco da exploracao de hidrocarbonetos, a industria vem buscando continuamente meios de minimizar os riscos exploratorios, onde um desses meios e o aprimoramento das ferramentas utilizadas. Existem tres etapas nessa exploracao: a aquisicao de dados sismicos, o processamento sismico e a interpretacao sismica. O presente trabalho se situa no processamento sismico, mais especificamente em uma de suas etapas, a analise de velocidade sismica, que tem como objetivo encontrar o campo de velocidade mais fidedigno da subsuperficie da terra atraves de algoritmos conhecidos de analise. Um dos objetivos desse trabalho e a criacao de meios para facilitar essa analise de velocidade, atraves da implementacao desses algoritmos de forma que eles funcionem integrados em uma unica plataforma. Outro ponto que o avanco da exploracao sismica trouxe foi o aumento consideravel do volume de dados sismicos adquiridos e das tecnologias utilizadas, que elevaram consideravelmente a necessidade de computadores mais poderosos e tambem a busca de solucoes de alto poder computacional. Com base nessa necessidade, sera apresentada uma nova metodologia de analise de dados sismicos usando GPUs e os resultados obtidos da sua utilizacao, mostrando sua viabilidade para acelerar algoritmos geofisicos, em especial algoritmos voltados para a analise de velocidade. Ao final serao discutidos os resultados e feita a comparacao de desempenho dos algoritmos paralelos e sequenciais.
Robustness analysis of a disturbance-observer based PI control

This paper deals with a robustness analysis of a disturbance observer (DO) based filtered PI control (DO-FPI) for integral first order plants based on the performance portrait method. For the loop robustification and a noise attenuation the loop is augmented by n-th order filters used in the inner DO loop, as well as in the outer loop with the stabilizing P controller. Although the derived results may be used in a broad range of tasks originating in a control of plants with a dominant first order dynamics, for the sake of simplicity they focus on control of a single integrator.
Jns Journal of Nutritional Science

A moderate fat, low-energy dry expanded diet reduces gain in body condition score when fed as part of a post neutering weight-control regimen in growing pet cats* Abstract Neutering of cats has been associated with significant weight gain in the weeks following surgery. The present study aimed to evaluate the effectiveness of a moderate fat, low-energy dry expanded diet in reducing weight gain in growing pet cats when fed as part of a weight-control regimen over the 6 months post-neutering. Cats in participating primary care veterinary hospitals were enrolled at neutering and assigned to receive one of the two dietary treatments based on the hospital of origin. Owners of cats in the treatment group were instructed to feed the trial diet at maintenance (324·7 kJ/kg BW 0·711 per d). Instructions for the control group were to feed the cat's regular diet according to the manufacturer's recommendations. Body weight and condition were evaluated by veterinarians at enrolment, 2-weeks, and 1–4 and 6 months after surgery. Body condition score (five-point scale) was compared between enrolment and each subsequent visit, controlling for enrolment age and sex. Percentage change in body weight was evaluated via multivariate mixed modelling to account for repeated measures. A total of 187 cats (eighty-seven females and 100 males) with a mean age of 5·2 (SD 0·8) months and mean weight of 2·8 (SD 0·6) kg from fifty-one hospitals completed the trial. The odds of being scored as overweight were 4·1 times as great for cats in the control v. treatment groups (95 % CI 2·1, 8·2). Percentage change in body weight differed significantly with enrolment age (P = 0·007) and approached significance between diet groups (P = 0·08). Cats fed the trial diet had a significantly reduced incidence of overweight in the 6 months following neutering. The reported combined prevalence of overweight and obesity in cats in the USA ranges between 16 and 35 % (1–3). There is general agreement among investigators that the incidence of excess body weight in cats is increasing (4). Indeed, the prevalence of overweight and obesity among cats evaluated at a large national network of US primary care veterinary hospitals increased by 90 % from 2007 to 2011 (3). Obesity has considerable impacts on the health of cats and is linked to a variety of health issues including diabetes mellitus, orthopaedic disease and non-allergic skin conditions (5). Castration and ovariohysterectomy are associated with increased …
Miniature microstrip bandpass filters based on quadruple-mode resonators with less via

This article aims to design of microstrip resonators in order to reduce size of microstrip bandpass filters in wireless communication systems. Characterized by both theoritical investigation and full-wave simulation, the proposed bandpass filters are designed consist of dual-band bandpass filters and quadruple mode bandpass filters with miniaturized size. The proposed filter is found to have benefits such that the even-mode resonant frequencies can be flexibly controlled while the odd-mode resonant frequency is reserved for the fundamental frequency. Since the structure of resonators is realized using common via holes, the difficulty and complexity of the fabrication process can be shortened. In order to achieve compact size, the total number of resonators is reduced so that the implemented resonators only occupy a small area.
Bayesian neural network for fermentation control

This paper illustrates the potentiality of Bayesian neural networks to model the concentration of the antibiotic cephalosporin in a fermentator from the estimate of the control variables. We show that our models give satisfactory results together with an estimate of the uncertainty associated to each prediction, allowing a potential operator to deal with anomalies during the process. The determination of the relevance of the input allows one to have a better understanding of the quality of the feature vector fed into the network as well as an interpretation of the physics underlying the biochemical process.
Black holes and space-time physics in string / M theory

In addition to briefly reviewing recent progress in studying black hole physics in string/M theory, we describe several robust features pertaining to spacetime physics that one can glean by studying quantum physics of black holes. In particular, we review 't Hooft's S-matrix ansatz which results in a noncommutative horizon. A recent construction of fuzzy AdS2 is emphasized, this is a nice toy model for fuzzy black hole horizon. We demonstrate that this model captures some nonperturbative features of quantum gravity.
HUMAN INJURIES INFLICTED BY BEARS IN BRITISH COLUMBIA : 1960-97

There is controversy in British Columbia regarding how dangerous bears are. Grizzly bear (Ursus arctos) population estimates range from 10,000–13,000; black bears (U. americanus), 120,000–160,000. From 1960–97, significantly fewer grizzly bears inflicted about 3 times as many serious injuries (N = 41 versus 14) but the same number of fatal injuries (N = 8) as black bears. The trend in terms of average number of bear-inflicted injuries/year increased each decade from the 1960s through the 1990s, as did the human population in British Columbia. It is likely that more people in bear habitat affected this increase in the number of injuries. In 88% of serious or fatal grizzly bear attacks, those injured were engaged in hunting, hiking, or working, typically in back-country areas. In 77% of black bear attacks, those injured were either hiking, watching the bear, working, or recreating, typically in front-country areas. Eighty-one percent of parties injured by grizzly bears and 69% of parties injured by black bears were composed of 1 or 2 people. Bear access to human food or garbage was associated with a relatively small number of incidents for each species. In grizzly bear incidents where the age and sex class were known, adult females were identified in 79% of incidents. All incidents where the gender of an attacking black bear was known involved males. These incidents were equally divided between adults and subadults. Poor health of the bear was identified in 16% of black bear and 7% of grizzly bear incidents. Sixty-two percent of the serious or fatal grizzly bear incidents, where the bear’s motivation could be inferred, were categorized as involving a bear being startled at close range (<50 m) and 19% involved ungulate carcasses. For black bear incidents, where the bear’s motivation could be inferred, 83% involved possible predation. None involved ungulate carcasses and none involved the bear being startled. Risk of bear attack can be managed through individual responsibility and communication targeted at individuals and groups such as ungulate hunters, hikers and campers, and persons working in bear habitat.
Structure-function analysis of the gE-gI complex of feline herpesvirus: mapping of gI domains required for gE-gI interaction, intracellular transport, and cell-to-cell spread

Alphaherpesvirus glycoproteins gE and gI form a noncovalently associated hetero-oligomeric complex, which is involved in cell-to-cell spread. In the absence of gI, feline herpesvirus (FHV) gE is transport incompetent and fully retained in the endoplasmic reticulum. Here, we assess the effect of progressive C-terminal truncations of FHV gI on the biosynthesis, intracellular transport, and function of the gE-gI complex. The truncated gI proteins were coexpressed with gE in the vaccinia virus-based vTF7-3 expression system. The results were corroborated and extended by studying FHV recombinants expressing truncated gI derivatives. The following conclusions can be drawn. (i) Deletion of the cytoplasmic tail, the transmembrane region plus the C-terminal half of the ectodomain of gI, does not affect intracellular transport of gE. Apparently, the N-terminal 166 residues of gI constitute a domain involved in gE-gI interaction. (ii) A region mediating stable association with gE is located within the N-terminal 93 residues of gI. (iii) The cytoplasmic domain of gI is not essential for gE-gI-mediated cell-to-cell transmission of FHV, as judged from plaque morphology. Deletion of the cytoplasmic tail of gI reduced plaque size by only 35%. (iv) Recombinants expressing the N-terminal 166 residues of gI display a small-plaque phenotype but produce larger plaques than recombinants with a disrupted gI gene. Thus, a complex consisting of gE and the N-terminal half of the gI ectodomain may retain residual biological activity. The implications of these findings for gE-gI interaction and function are discussed.
Analysis of dynamic traffic assignment

Dynamic road traffic assignment models can be used explicitly to represent and analyse route choice and travel times in networks for which the demand for travel varies over time and congestion arises. Static models cannot represent this phenomenon in a satisfactory manner. Despite the long-term research activity and the several approaches that have been introduced, no dominant approach has emerged to dynamic analysis. This seems to be due, at least in part, to the multiplicity of interrelated requirements on dynamic models for them to perform in a satisfactory. Here, we consider analytical approaches to dynamic traffic assignment, and in particular the extent to which they address the issues of realism that arise. This leads to restrictive requirements on traffic models for satisfactory dynamic behaviour. The wider role of assignment modelling is considered in the context of activity analysis, transport planning, and network design. We show how dynamic assignment can be developed together with departure-time choice to serve in these functions. We present these results as a contribution to the literature on dynamic assignment and to support further analysis and model development.
Comparing acoustic features for robust ASR in fixed and cellular network applications

Within the context of automatic speech recognition (ASR) applications for telephony, we investigate the acoustic preprocessing issues that are at stake in going from the fixed line to the cellular network. Because the spectral representation used in enhanced full rate GSM is linear prediction, we investigate the relative advantages and drawbacks of conventional mel-frequency cepstral coefficient (MFCC) parameters derived from a non-parametric fast Fourier transform (FFT) and MFCC parameters derived from a linear predictive coding (LPC) spectral estimate. Robust formant parameters, also derived from an LPC description of the spectrum, are studied as an alternative to MFCCs. Within the framework of connected digit recognition based on hidden Markov models, ASR performance was measured for clean conditions, as well as for three different additive noise conditions. In addition, the performance of a conventional recognition procedure was compared with the performance of an ASR system based on our acoustic backing-off implementation of missing feature theory (MFT).
Recognition of handwritten text using long short term memory (LSTM) recurrent neural network (RNN)

Handwriting recognition is a technique which is used to produce machine readable text from a given text image. The hand written text is captured as an image from mobile. Handwritten characters are usually recognized with Optical Character Recognition (OCR) scanners. But with the large usage of mobile phones, detecting text from mobile camera has plenty of applications such as medical script processing, exam script evaluation etc. Camera image has lot of noises when compared to the OCR scanned images. Therefore, the image is pre-processed to reduce noise using image processing techniques such as binarization, thresholding and etc. The letters are segmented and extracted from an image. The features such as binary codes are extracted from the letters. The neural network classifier is built using Long Short Term Memory (LSTM) network which is trained using an already built character dataset. The neural network is used to test the input images. The output is provided as a text document with the recognized words. Since the input feed is obtained from images, the noise will be high compared to the existing system input set which uses scanned images. Noise reduction technique such as low intensity pixel removal is applied to reduce the noise from the input image for improving the efficiency.Handwriting recognition is a technique which is used to produce machine readable text from a given text image. The hand written text is captured as an image from mobile. Handwritten characters are usually recognized with Optical Character Recognition (OCR) scanners. But with the large usage of mobile phones, detecting text from mobile camera has plenty of applications such as medical script processing, exam script evaluation etc. Camera image has lot of noises when compared to the OCR scanned images. Therefore, the image is pre-processed to reduce noise using image processing techniques such as binarization, thresholding and etc. The letters are segmented and extracted from an image. The features such as binary codes are extracted from the letters. The neural network classifier is built using Long Short Term Memory (LSTM) network which is trained using an already built character dataset. The neural network is used to test the input images. The output is provided as a text document with the recognized word.
Wideband Arrayed Waveguide Grating With Three Low-Loss Maxima Per Passband

By using a novel multisection three-waveguide directional coupler, we significantly improve the performance of a passband-flattened arrayed waveguide grating router that uses a three-arm interferometer connected to the input. Each passband has three low-loss maxima. For a 16-channel demultiplexer, we achieve a 1- to 20-dB passband-width ratio of 0.62 and a fiber-to-fiber insertion loss of 2.5-3.6 dB
Substrate Binding Promotes Formation of the Skp1-Cul1-Fbxl3 (SCFFbxl3) Protein Complex*

Background: The Skp1-Cul1-Fbxl3 (SCFFbxl3) complex regulates oscillation of the circadian clock by targeting Cry proteins for degradation. Results: Fbxl3 interacts with Skp1 and Cul1 only in the presence of its substrate Cry1 in vivo. Conclusion: Association of Cry1 with Fbxl3 is essential for SCFFbxl3 complex formation in vivo. Significance: Our findings provide important insight into the regulation of SCF ubiquitin ligase activity and circadian rhythmicity. The Skp1–Cul1–F-box protein (SCF) complex is one of the most well characterized types of ubiquitin ligase (E3), with the E3 activity of the complex being regulated in part at the level of complex formation. Fbxl3 is an F-box protein that is responsible for the ubiquitylation and consequent degradation of cryptochromes (Crys) and thus regulates oscillation of the circadian clock. Here we show that formation of the SCFFbxl3 complex is regulated by substrate binding in vivo. Fbxl3 did not associate with Skp1 and Cul1 to a substantial extent in transfected mammalian cells. Unexpectedly, however, formation of the SCFFbxl3 complex was markedly promoted by forced expression of its substrate Cry1 in these cells. A mutant form of Fbxl3 that does not bind to Cry1 was unable to form an SCF complex, suggesting that interaction of Cry1 with Fbxl3 is essential for formation of SCFFbxl3. In contrast, recombinant Fbxl3 associated with recombinant Skp1 and Cul1 in vitro even in the absence of recombinant Cry1. Domain-swap analysis revealed that the COOH-terminal leucine-rich repeat domain of Fbxl3 attenuates the interaction of Skp1, suggesting that a yet unknown protein associated with the COOH-terminal domain of Fbxl3 and inhibited SCF complex formation. Our results thus provide important insight into the regulation of both SCF ubiquitin ligase activity and circadian rhythmicity.