Miracle-dz/UniFAR-FTUs huggingface dataset:
Regulation of connexin43 expression and function by prostaglandin E2 (PGE2) and parathyroid hormone (PTH) in osteoblastic cells

Connexin43 (Cx43) forms gap junctions that mediate intercellular communication between osteoblasts. We have examined the effects of prostaglandin E2 (PGE2) and parathyroid hormone (PTH) on gap junctional communication in the rat osteogenic sarcoma cells UMR 106‐01. Incubation with either PGE2 or PTH rapidly (within 30 min) increased transfer of negatively charged dyes between UMR 106‐01 cells. This stimulatory effect lasted for at least 4 h. Both PGE2 and PTH increased steady‐state levels of Cx43 mRNA, but only after 2–4 h of incubation. Transfection with a Cx43 gene construct linked to luciferase showed that this effect of PTH was the result of transcriptional upregulation of Cx43 promoter. Stimulation of dye coupling and Cx43 gene transcription were reproduced by forskolin and 8Br‐cAMP. Exposure to PGE2 for 30 min increased Cx43 abundance at appositional membranes in UMR 106‐01, whereas total Cx43 protein levels increased only after 4–6 h of incubation with either PGE2 or PTH. Inhibition of protein synthesis by cycloheximide did not affect this early stimulation of dye coupling, but it significantly inhibited the sustained effect of PTH and forskolin on cell coupling. In summary, both PTH and PGE2, presumably through cAMP production, enhance gap junctional communication in osteoblastic cell cultures via two mechanisms: initial rapid redistribution of Cx43 to the cell membrane, and later stimulation of Cx43 gene expression. Modulation of intercellular communication represents a novel mechanism by which osteotropic factors regulate the activity of bone forming cells. J. Cell. Biochem. 68:8–21, 1998. © 1998 Wiley‐Liss, Inc.
RECOGNITION OF EMOTION IN SPEECH USING VARIOGRAM BASED FEATURES

Speech Emotion Recognition (SER) is a relatively new and challenging branch in speech processing area. In this study, we propose new features derived from speech spectrogram using image processing techniques for emotion recognition. For this purpose, variogram graphs are calculated from speech spectrogram. The significant Discrete Cosine Transform (DCT) coefficients of variogram are used as proposed features. The contribution of these features as a complementary for the widely used prosodic and spectral features is also investigated. The feature selection is performed using Fisher Discriminant Ratio (FDR) filtering method. Finally, a linear Support Vector Machine (SVM) classifier is employed. All results are achieved under the 10 fold cross-validation on the Berlin and PDREC speech databases. Our results show that combining the proposed features with prosodic and spectral features significantly improves the classification accuracy. For Berlin database, when the proposed features were added to the prosodic and spectral ones, the recognition rates were improved from 83.18% and 89.36% to 86.82% and 90.43% for females and males, respectively. Also, on the PDREC, combining the proposed features with the prosodic and spectral features improve the recognition rate of females and males by 3.72% and 0.27%, respectively. For this database, the best classification accuracy of 63.18% and 57.37% were obtained for females and males, respectively.
Produção de forragem do capim-Tanzânia (Panicum maximum Jacq. cv. Tanzânia-1) pastejado em diferentes alturas

This experiment was conducted out to evaluate the forage mass (FM), green leaf lamina mass (GLLM), green stem + leaf sheath mass (GSSM), mass of dead material (MDM), green forage mass (GMF), total forage mass (TFM), leaf/stem ratio (L/S), dry matter accumulation rate (DMAR), leaf area index (LAI), % of bare soil (BS) and litter cover percentage (LCP) in Tanzaniagrass pasture (Panicum maximum Jacq. cv. Tanzania-1) managed at four different sward heights (20, 40, 60 and 80 cm). The grazing method was the continuous stocking with variable stocking rate, and the grazing animals were Nellore steers with average weight of 340 kg. The completely randomized design was used with two replications and five evaluation periods were performed. The GLLM, GSSM, MDM, GMF, FM, LAI, DMAR, and TFM increased by increasing of the pasture height, the percentage of NCS, SCWL and dead material decreased with the pasture height. Tanzaniagrass management, based on the pasture height from 40 to 60 cmshowed good morphologic composition and high leaves availability for grazing, good ground cover and dry matter accumulation rate, while the heights of 20 and 80 cm shall not be recommended for the Tanzania grass management when the objective is high production of forage quality.
Network Traffic Prediction Based on Particle Swarm Optimization

Predicting the network traffic flow for large-scale network can significantly improve the quality of service security, and this problem has been attracted more and more researches. In this paper, we study on forecast network traffic by a hybrid Flexible neural tree and Particle swarm optimization model. Framework of the particle swarm optimization based network traffic forecasting is made up of three steps: 1) Obtaining network flow data, 2) Constructing the network flow and 3) Building a flexible neural tree to implement the network traffic prediction system. As flexible neural tree based network traffic prediction is greatly influence by parameters selection, We utilize particle swarm optimization to optimize parameters for the proposed algorithm. Experimental results demonstrate that the proposed algorithm can effectively forecast network traffic with lower error rate.
Observations on sex ratio and behavior of males in Xyleborinus saxesenii Ratzeburg (Scolytinae, Coleoptera)

Strongly female-biased sex ratios are typical for the fungalfeeding haplodiploid Xyleborini (Scolytinae, Coleoptera), and are a result of inbreeding and local mate competition (LMC). These ambrosia beetles are hardly ever found outside of trees, and thus male frequency and behavior have not been addressed in any empirical studies to date. In fact, for most species the males remain undescribed. Data on sex ratios and male behavior could, however, provide important insights into the Xyleborini’s mating system and the evolution of inbreeding and LMC in general. In this study, I used in vitro rearing methods to obtain the first observational data on sex ratio, male production, male and female dispersal, and mating behavior in a xyleborine ambrosia beetle. Females of Xyleborinus saxesenii Ratzeburg produced between 0 and 3 sons per brood, and the absence of males was relatively independent of the number of daughters to be fertilized and the maternal brood sex ratio. Both conformed to a strict LMC strategy with a relatively precise and constant number of males. If males were present they eclosed just before the first females dispersed, and stayed in the gallery until all female offspring had matured. They constantly wandered through the gallery system, presumably in search of unfertilized females, and attempted to mate with larvae, other males, and females of all ages. Copulations, however, only occurred with immature females. From galleries with males, nearly all females dispersed fertilized. Only a few left the natal gallery without being fertilized, and subsequently went on to produce large and solely male broods. If broods were male-less, dispersing females always failed to found new galleries.
[Hepatitis E: from zoonotic transmission to chronic infection in immunosuppressed patients].

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. [Hepatitis E: from zoonotic transmission to chronic infection in immunosuppressed patients. ] Jacques Izopet, Nassim Kamar
An interspecific QTL study of Drosophila wing size and shape variation to investigate the genetic basis of morphological differences.

The Drosophila wing has been used as a model in studies of morphogenesis and evolution; the use of such models can contribute to our understanding of mechanisms that promote morphological divergence among populations and species. We mapped quantitative trait loci (QTL) affecting wing size and shape traits using highly inbred introgression lines between D. simulans and D. sechellia, two sibling species of the melanogaster subgroup. Eighteen QTL peaks that are associated with 12 wing traits were identified, including two principal components. The wings of D. simulans and D. sechellia significantly diverged in size; two of the QTL peaks could account for part of this interspecific divergence. Both of these putative QTLs were mapped at the same cytological regions as other QTLs for intraspecific wing size variation identified in D. melanogaster studies. In these regions, one or more loci could account for intra- and interspecific variation in the size of Drosophila wings. Three other QTL peaks were related to a pattern of interspecific variation in wing size and shape traits that is summarized by one principal component. In addition, we observed that
Two distinct regions on the surface of an RNA‐binding domain are crucial for RNase E function

Despite its importance for RNA processing and degradation in Escherichia coli, little is known about the structure of RNase E or its mechanism of action. We have modelled the three‐dimensional structure of an essential amino‐terminal domain of RNase E on the basis of its sequence homology to the S1 family of RNA‐binding domains. Each of the five surface‐exposed aromatic residues and most of the 14 basic residues of this RNase E domain were replaced with alanine to determine their importance for RNase E function. All the surface residues essential for cell growth and feedback regulation of RNase E synthesis mapped to one end of the domain. In vitro assays indicate that these essential residues fall into two functionally distinct groups that form discrete clusters on opposite faces of the S1 domain. One group, comprising Phe‐57, Phe‐67 and Tyr‐112, is of general importance for the ribonuclease activity of RNase E, whereas the other group, comprising Lys‐37 and Tyr‐60, is entirely dispensable for catalytic activity in vitro. The side‐chains of two residues previously identified as sites of temperature‐sensitive mutations lie buried directly beneath the surface region defined by Phe‐57, Phe‐67 and Tyr‐112, which probably enhances RNase E activity by making a crucial contribution to the binding of substrate RNAs. In contrast to the S1 domain, an arginine‐rich RNA‐binding domain in the carboxyl half of RNase E appears to have a more peripheral role in RNase E function, as it is not required for feedback regulation, cell growth or ribonuclease activity.
Genotoxicity and estrogen‐like cell growth activity of samples extracted from street dusts

Genotoxicity and estrogen‐like cell growth activity of samples extracted from street dusts in Okayama Prefecture, Japan was examined. A bacterial assay, umu‐test, was used to measure genotoxicity of the samples, and the human breast cancer cell line, MCF‐7, was used to measure estrogenic activity of the samples. The monthly change in genotoxicity and estrogenic activity due to accumulated pollutants was analyzed, and their relationship with traffic load, sunlight, and rainfall was discussed. The samples extracted from the dusts, which were collected from locations 1 and 2 on Route‐2, were found to have high genotoxicity and showed estrogen‐like cell growth activities higher than other locations. © 2000 John Wiley & Sons, Inc. Environ Toxicol 15: 504–508, 2000
Vegetable Diseases: A Colour Handbook

Contents 1 Introduction to Vegetable Crops 2 Causes of Plant Diseases 3 Diagnosing Diseases of Vegetables and Other Crops 4 Controlling Vegetable Crop Diseases 5 Diseases of Vegetable Crops: Alliums (onion, garlic, leek, chives) Apiaceae (carrot, celery, parsnip, parsley) Asparagus Beet Crucifers (broccoli, brussel sprout, cabbage, cauliflower, radish, swede) Cucurbits (cucumber, melon, pumpkin, squash) Legumes (faba bean, pea, bean) Lettuce Pepper Spinach Tomato Specialty and Herb Crops (artichoke, arugula, basil, broccoli raab, catnip, chervil, cilantro, corn salad, dill, endive, fennel, horse-radish, Jerusalem artichoke, lemongrass, marjoram, mint, mustards, oregano, radicchio, rhubarb, sage, salsify, sweet corn, swiss chard, tomatillo, watercress Glossary Index
Defect detection on the fabric with complex texture via dual-scale over-complete dictionary

This paper proposed a defect detection algorithm for fabrics with complex texture based on dual-scale over-complete dictionary. The core was to learn the features of defect-free fabrics using dual-scale over-complete dictionary. The traditional defect detection methods generally showed a favorable effect on plain cloth or twill, etc., while poor effects on plaids or stripes, etc. with complex texture. Considering the large variations of the defect size of different kinds, this study used dual-scale dictionary to enhance self-adaptability of defect detection. Subsequently, the increase in the false detection rate brought by dual-scale detection was effectively avoided using fusion algorithm of different scales. The experiment based on TILDA database suggested that the algorithm proposed achieved a detection rate of 96.5% and a false detection rate of 5.5% for complex texture. Moreover, this algorithm showed favorable self-adapting ability to other fabrics on our own database. Through the downsampling operation on large-scale samples, the computing time was greatly reduced as compared to single-scale algorithm.
Colorimetric Sensing of Cysteine in serum by the competitive adsorption toward AuNPs between Cysteine and ATP

Based on the dependence between the AuNPs size and the naked-eye visible color change. This study was designed to develop a highly selective and sensitive towards colorimetric sensing of cysteine in fetal bovine serum by the competitive binding of ATP and thiol compounds (cysteine and homocysteine) towards gold nanoparticles (AuNPs). The as-established method has high sensitivity and selectivity, the linearity range was 3μM-30μM with the quantification limit of 1μM. The method demonstrated here can be applied to detect cysteine in fetal bovine serum without interference from other amino acids and bovine serum albumin (BSA), which is envisaged to be applicable to understanding the chemical essence involved in physiological and pathological events associated with cysteine.
Antigen‐presenting cells recruited by Brugia malayi induce Th2 differentiation of naïve CD4+ T cells

A key feature of nematode infection is a bias towards a type 2 immune response. To investigate the role that antigen‐presenting cells (APC) may play in promoting this bias, we used adherent peritoneal exudate cells (PEC) recruited in response to the filarial nematode Brugia malayi, to stimulate naïve T cells from pigeon cytochrome c (PCC)‐specific TCR transgenic (PCC‐tg) mice. Although the proliferation of PCC‐tg T cells was inhibited by parasite‐ induced PEC during primary stimulation, they proliferated normally upon secondary stimulation and were not rendered anergic. However, PCC‐tg T cells primed by suppressive APC differentiated into IL‐4‐producing Th2 cells upon secondary stimulation instead of IFN‐γ‐producing Th1 cells, as has been previously described. Studies with carboxyfluorescein diacetate succinimidyl ester (CFSE)‐labeled cells indicated that Th2 differentiation was associated with the inhibition of (or failure to stimulate) IFN‐γ production during primary stimulation. Interestingly, blocking antibodies against TGF‐β (but not IL‐10) restored the differentiation of IFN‐γ‐producing Th1 cells. Identical results with CFSE‐labeled cells were obtained using purified IL‐4‐dependent F4/80+ macrophages. These data indicate that T cells exposed to parasite‐induced alternatively activated macrophages are driven towards Th2 differentiation. This may be an important factor in the Th2 bias that accompanies nematode infection.
Godson-T： An Efficient Many-Core Architecture for Parallel Program Executions

穆尔的法律曾经将同意计算机建筑师为可预见的未来的更多的晶体管，和挑战是怎么使用他们交付有效性能和灵活可编程性。 我们建议许多核心体系结构， Godson-T，攻击这挑战。 在一方面， Godson-T 展示一个基于区域的缓存连贯协议，异步的数据转移代理人和支持硬件的同步机制，到为在薄片上资源利用的高效率提供完整的潜力。 在另一方面， Godson-T 展示一个高度有效的运行系统，一个象 Pthreads 一样编程模型，和万用的平行图书馆，它使这个许多核心图案灵活地可编程。 这个硬件 / 软件合作设计方法论与质量衔接高端计算程序员。 试验性的评估在 Godson-T 的一个周期精确的模拟器上被进行。 结果证明建议建筑学有好可伸缩性，快同步，高计算的效率，和灵活可编程性。
Are software failures chaotic?

We report on an experimental investigation of software reliability data. Our hypothesis in this investigation is that software failures are the result of a fundamentally deterministic process, rather than being realizations of a stochastic process as is commonly assumed. Using the techniques of nonlinear time series analysis, we examine three software reliability datasets for the signatures of deterministic, and possibly chaotic, behavior. In these datasets, we have found firm evidence of deterministic behavior, and hints of chaotic behavior. However, the latter are too limited to permit a definitive conclusion about the presence or absence of chaotic behavior.
Intraluteal Administration of a Nitric Oxide Synthase Blocker Stimulates Progesterone and Oxytocin Secretion and Prolongs The Life Span of The Bovine Corpus Luteum (44514)

To test the role of nitric oxide (NO) in secretory functions of bovine corpora lutea (CL), two groups of four Holstein heifers each were treated as follows: Group 1, Nω-Nitro-L-Arginine Methyl Ester (L-NAME), an Inhibitor of nitric oxide synthase (NOS), on Day 11 or 12 of the cycle and Group 2, L-NAME on Days 17 and 18 of the cycle. All treatments were administered by an intraluteal microdialysis system (MDS). Drugs were infused for 4-hr periods on the designated days, and the treatment periods were preceded and followed by 4-hr control periods. Perfusate and jugular blood samples were collected at half-hour intervals. Perfusate samples were analyzed for progesterone (P4), oxytocin (OT), prostaglandin F2α (PGF2α), and leukotriene C4 (LTC4); jugular plasma samples were analyzed for P4, OT, and LH. Perfusion of L-NAME on Day 11 or 12 consistently Increased P4 concentration in the perfusate, but had no effect on the life span of the CL. Perfusion of L-NAME on Days 17–18 also elevated P4 levels in the perfusate, and in addition, maintained P4 levels in the plasma of three of the four treated animals through Day 25 of the cycle. L-NAME perfusion also increased OT release concomitant with P4 into the perfusate at both the mid- and late-luteal phase treatments. For the most part, concentrations of LH, OT, and P4 in the jugular plasma samples collected during the perfusions were unaffected by treatments. L-NAME perfusion caused small, but significant (P < 0.05) increases in perfusate PGF2α and LTC4 at Days 17 and 18 and in LTC4 on Day 11 or 12. These data indicate that NO plays a direct luteolytic role in regression of the bovine CL.
Heart Sound Segmentation Based on Mel-Scaled Wavelet Transform

The identification and segmentation of heart beats in a phonocardiogram signal is of great interest, with applications ranging from diagnosis to use as a timing source. This paper proposes a new algorithm for the identification of the first and second (S1 and S2) heart sounds and for segmentation of the signal. The proposed algorithm is a novel combination of documented techniques, leading to improved segmentation accuracy. The Shannon Energy is first used to find sounds of interest. The algorithm subsequently uses the Mel-Scaled WaveleTransform (MSWT) which is a modified Mel-Frequency Cepstral Coefficient (MFCC) algorithm with the Discrete Wavelet Transform (DWT) in order to reduce the impact of noise on the coefficients. The coefficients and sounds of interest are used to distinguish S1 from S2 and segment the signal accordingly. The algorithm is tested on real signals and is compared to a simpler Shannon Energy algorithm and to a traditional MFCC based algorithm. The new algorithm presents an improvement in accuracy especially when signals contain noise. It is therefore less susceptible to outside interference and could be used more accurately in a hospital setting.
Annotations of Mexican bullfighting videos for semantic index

The video annotation is important for web indexing and browsing systems. Indeed, in order to evaluate the performance of video query and mining techniques, databases with concept annotations are required. Therefore, it is necessary generate a database with a semantic indexing that represents the digital content of the Mexican bullfighting atmosphere. This paper proposes a scheme to make complex annotations in a video in the frame of multimedia search engine project. Each video is partitioned using our segmentation algorithm that creates shots of different length and different number of frames. In order to make complex annotations about the video, we use ELAN software. The annotations are done in two steps: First, we take note about the whole content in each shot. Second, we describe the actions as parameters of the camera like direction, position and deepness. As a consequence, we obtain a more complete descriptor of every action. In both cases we use the concepts of the TRECVid 2014 dataset. We also propose new concepts. This methodology allows to generate a database with the necessary information to create descriptors and algorithms capable to detect actions to automatically index and classify new bullfighting multimedia content.
Molecular biology of KATP channels and implications for health and disease

The ATP‐sensitive potassium (KATP) channel is expressed in most excitable tissues and plays a critical role in numerous physiological processes by coupling intracellular energetics to electrical activity. The channel is comprised of four Kir6.x subunits associated with four regulatory sulfonylurea receptors (SUR). Intracellular ATP acts on Kir6.x to inhibit channel activity, while MgADP stimulates channel activity through SUR. Changes in the cytosolic [ATP] to [ADP] ratio thus determine channel activity. Multiple mutations in Kir6.x and SUR genes have implicated KATP channels in various diseases ranging from diabetes and hyperinsulinism to cardiac arrhythmias and cardiovascular disease. Continuing studies of channel physiology and pathology will bring new insights to the molecular basis of KATP channel function, leading to a better understanding of the role that KATP channels play in both health and disease. © 2009 IUBMB IUBMB Life, 61(10): 971–978, 2009
Properties of series feature aggregation schemes

Feature aggregation is a critical technique in content-based image retrieval (CBIR) that combines multiple feature distances to obtain image dissimilarity. Conventional parallel feature aggregation (PFA) schemes failed to effectively filter out the irrelevant images using individual visual features before ranking images in collection. Series feature aggregation (SFA) is a new scheme that aims to address this problem. This paper investigates three important properties of SFA that are significant for design of systems. They reveal the irrelevance of feature order and the convertibility of SFA and PFA as well as the superior performance of SFA. Furthermore, based on Gaussian kernel density estimator, the authors propose a new method to estimate the visual threshold, which is the key parameter of SFA. Experiments, conducted with IAPR TC-12 benchmark image collection (ImageCLEF2006) that contains over 20,000 photographic images and defined queries, have shown that SFA can outperform conventional PFA schemes.