gebhart/patrepeval huggingface dataset:
New aspects of steroid hormone dependent tumor growth. (1990)

Steroids are able to modulate tumor growth. These mechanisms involve probably a complex network of events which earlier were thought to be rather independent of each other. This review summarizes some new results in steroid hormone research, concerning its influence in understanding of tumor growth, above all estrogen dependent mammary tumor growth. It focuses on the following main topics situated in the centre of research at present. 1. Steroid receptors triggering the biological action of steroids are members of a superfamily of transcriptional activators with potential growth modulating properties. The DNA-binding domain of these different proteins is highly conserved. Tumor cells possibly use some of these molecules for their own growth. 2. Hormone dependent mammary tumor growth includes probably a very complex interaction of steroids with their nuclear receptors, growth factors and their membrane receptors, proteolytic enzymes and others. Tumor cells are able to secrete a lot of different proteins in response to estradiol.
Overexpression of Tissue Transglutaminase Leads to Constitutive Activation of Nuclear Factor-κB in Cancer Cells: Delineation of a Novel Pathway (2006)

The transcription factor nuclear factor-kappaB (NF-kappaB) plays an important role in regulating cell growth, apoptosis, and metastatic functions. Constitutive activation of NF-kappaB has been observed in various cancers; however, molecular mechanisms resulting in such activation remain elusive. Based on our previous results showing that drug-resistant and metastatic cancer cells have high levels of tissue transglutaminase (TG2) expression and that this expression can confer chemoresistance to certain types of cancer cells, we hypothesized that TG2 contributes to constitutive activation of NF-kappaB. Numerous lines of evidence showed that overexpression of TG2 is linked with constitutive activation of NF-kappaB. Tumor cells with overexpression of TG2 exhibited increased levels of constitutively active NF-kappaB. Activation of TG2 led to activation of NF-kappaB; conversely, inhibition of TG2 activity inhibited activation of NF-kappaB. Similarly, ectopic expression of TG2 caused activation of NF-kappaB, and inhibition of expression of TG2 by small interfering RNA abolished the activation of NF-kappaB. Our results further indicated that constitutive NF-kappaB reporter activity in pancreatic cancer cells is not affected by dominant-negative I kappaB alpha. Additionally, coimmunoprecipitation and confocal microscopy showed that I kappaB alpha is physically associated with TG2. Lastly, immunohistochemical analysis of pancreatic ductal carcinoma samples obtained from 61 patients further supported a strong correlation between TG2 expression and NF-kappaB activation/overexpression (P = 0.0098, Fisher's exact test). We conclude that TG2 induces constitutive activation of NF-kappaB in tumor cells via a novel pathway that is most likely independent of I kappaB alpha kinase. Therefore, TG2 may be an attractive alternate target for inhibiting constitutive NF-kappaB activation and rendering cancer cells sensitive to anticancer therapies.
Deep networks for robust visual recognition (2010)

Deep Belief Networks (DBNs) are hierarchical generative models which have been used successfully to model high dimensional visual data. However, they are not robust to common variations such as occlusion and random noise. We explore two strategies for improving the robustness of DBNs. First, we show that a DBN with sparse connections in the first layer is more robust to variations that are not in the training set. Second, we develop a probabilistic denoising algorithm to determine a subset of the hidden layer nodes to unclamp. We show that this can be applied to any feedforward network classifier with localized first layer connections. Recognition results after denoising are significantly better over the standard DBN implementations for various sources of noise. 1.
Gut microbiota, inflammation and colorectal cancer (2016)

Although genes contribute to colorectal cancer, the gut microbiota are an important player. Accumulating evidence suggests that chronic infection and the ensuing inflammation contributes to tumor initiation and tumor progression. A variety of bacterial species and tumor-promoting virulence mechanisms have been investigated. Significant advances have been made in understanding the composition and functional capabilities of the gut microbiota and its roles in cancer. In the current review, we discuss the novel roles of microbiota in the progression of colon cancer. Although microbiota technically include organisms other than bacteria e.g., viruses and fungi, this review will primarily focus on bacteria. We summarize epidemiological studies of human microbiome and colon cancer. We discuss the progress in the scientific understanding of the interplay between the gut microbiota, barrier function, and host responses in experimental models. Further, we discuss the potential application in prevention, diagnosis, and therapy of colon cancer by targeting microbiota. We discuss the challenges lie ahead and the future direction in studying gut microbiome in colon cancer to close the gap between the basic sciences and clinical application.
Pulsed Ion Mobility Spectrometer for the Detection of Toluene 2, 4-Diisocyanate in Ambient Air (2011)

In this paper, we use an ion mobility spectrometer with a nonradioactive ionization source that can be operated in pulsed mode, which offers the advantage of introducing delay times after the ionization. These allow the observation of substance specific signal decay times which can enhance the selectivity. The described novel principle can be used in the detection of the hazardous substance toluene 2,4-diisocyanate (TDI) in e.g., industrial areas since it offers the required sensitivity and selectivity with response times of only a few minutes. This will be shown with a focus on the TDI signal's decay characteristics regarding changes of concentration and humidity.
X-ray and neutron scattering from rough surfaces (1988)

The scattering of x rays and neutrons from rough surfaces is calculated. It is split into specular reflection and diffuse scattering terms. These are calculated in the first Born approximation, and explicit expressions are given for surfaces whose roughness can be described as self-affine over finite length scales. Expressions are also given for scattering from liquid surfaces, where it is shown that ``specular'' reflections only exist by virtue of a finite length cutoff to the mean-square height fluctuations. Expressions are also given for the scattering from randomly oriented surfaces, as studied in a typical small-angle scattering experiment. It is shown how various well-known asymptotic power laws in S(q) are obtained from the above theory. The distorted-wave Born approximation is next used to treat the case where the scattering is large (e.g., near the critical angle for total external reflection), and its limits of validity are discussed. Finally, the theory is compared with experimental results on x-ray scattering from a polished Pyrex glass surface.
A new phytase expressed in yeast effectively improves the bioavailability of phytate phosphorus to weanling pigs. (2000)

We have recently expressed a new phytase enzyme in a yeast system. Three experiments with a total of 140 weanling crossbred pigs were conducted to examine the efficacy of this enzyme in improving the bioavailability of phytate-P in corn-soybean meal diets to young pigs. Experiment 1 compared the efficacy of this new phytase with a commercially available phytase (Natuphos, BASF) for 4 wk at an inclusion level of 1,200 U/kg of diet. Experiment 2 compared the responses of pigs to four doses of the new phytase supplementation (300, 600, 900, and 1,200 U/kg of diet) for 4 wk. Experiment 3 compared the efficacy of this new phytase and Natuphos at a marginally optimal dose (700 U/kg of diet) for 5 wk. A group of pigs were fed the P-deficient basal diet as a negative control in Exp. 1, and a group of pigs were fed the basal diet plus .17 or .22% inorganic P as a positive control in all experiments. In Exp. 1, pigs fed the two sources of phytase had similar ADG (564 vs 567 g), gain/feed (.597 vs .589), plasma inorganic P concentrations (8.9 vs 8.4 mg/dL), and mobility scores (4.25 vs 4.46) that were higher (P < .05) than those of the negative control. In Exp. 2, plasma inorganic P concentration was a fairly linear response to the phytase dose (r > .83) at wk 1 and 2. Overall ADG of pigs also tended to increase with the phytase dose (P = .15). In Exp. 3, pigs fed the two sources of phytase had ADG (483 vs 506 g) similar to that of the positive control (508 g). These two groups also had similar plasma inorganic P concentrations (7.7 vs 7.4 mg/dL) that were lower (P < .05) than those of the positive control group (9.7 mg/dL). There was no significant effect of dietary treatments on ADFI in all three experiments. In conclusion, our new phytase was as effective as Natuphos, at the inclusion level of 700 or 1,200 U/kg of a P-deficient, corn-soybean meal diet, in improving phytate-P utilization by young pigs.
Comparative pharmacokinetics of acteoside from total glycoside extracted from leaves of <i>Rehmannia</i> and Dihuangye total glycoside capsule in normal and diabetic nephropathy rats (2017)

Rehmannia glutinosa Libosch (RG), is officially listed in the Chinese Pharmacopoeia and is widely used in China. In this paper, a sensitive and rapid ultra-performance liquid chromatography-mass spectrometry method including multiple-reaction monitoring mode was developed and applied to study the pharmacokinetic effect of acteoside from total glycoside extracted from the leaves of Rehmannia (TLR) and Dihuangye total glycoside capsule (DTG) in normal and diabetic nephropathy rats. The diabetic nephropathy rat model was induced by intraperitoneal injection of a small dose of streptozotocin and high-fat diet and plus 5% glucose drinking water. Samples of plasma of rats were obtained at different times after rats were administered TLR (7.2 g/kg) and DTG (360 mg/kg). After deproteinization by acetonitrile, the concentrations of acteoside in rats at different time points were detected by UPLC-TQ-MS method and pharmacokinetics parameters were calculated using DAS 3.2.8 software. A good linearity of acteoside was shown in the range of 8.51-3404.8 ng/m L (r<sup>2</sup> = 0.9987). The mean extraction recovery of analyte was in the range of 63.55-79.49%, and the intra- and inter-day RSD values were <8.8%. Compared with the normal group, the maximum plasma concentration, AUC<sub>0-t</sub> , AUC<sub>0-∞</sub> and apparent plasma clearance corresponding dose in model group rats decreased significantly. After rats were administered TLR and DTG, the acteoside reached the maximum plasma concentration at about 15 min. The method proved to be simple, rapid and specific, and to be suitable for the determination of acteoside in plasma of diabetic nephropathy rats and pharmacokinetic study.
Effectiveness of a serpentine inlet duct flow control scheme at design and off-design simulated flight conditions (2003)

An experimental investigation was conducted in a static ground test facility to determine the flow quality of a serpentine inlet duct incorporating active flow control for several simulated flight conditions. The total pressure distortion at the aerodynamic interface plane (AIP) was then used to predict the resulting stability for a compression system. This study was conducted using a model of a compact, low observable, engine inlet duct developed by Lockheed Martin. A flow control technique using air injection through microjets at 1% of the inlet mass flow rate was developed by Lockheed Martin to improve the quality of the flow exiting the inlet duct. Both the inlet duct and the flow control technique were examined at cruise condition and off-design simulated flight conditions (angle of attack and asymmetric distortion). All of the experimental tests were run at an inlet throat Mach number of 0.55 and a resulting Reynolds number of 1.76*105 based on the hydraulic diameter at the inlet throat. For each of the flight conditions tested, the flow control scheme was found to improve the flow uniformity and reduce the inlet distortion at the AIP. For simulated cruise condition, the total pressure recovery was improved by ~2% with the addition of flow control. For the off-design conditions of angle of attack and asymmetric distortion, the total pressure recovery was improved by 1.5% and 2% respectively. All flight conditions tested showed a reduction in circumferential distortion intensity with flow control. The cruise condition case showed reduced maximum circumferential distortion of 70% with the addition of flow control. A reduction in maximum circumferential distortion of 40% occurred for the angle of attack case with flow control, and 30% for the asymmetric distortion case with flow control. The inlet total pressure distortion was used to predict the changes in stability margin of a compression system due to design and off-design flight conditions and the improvement of the stability margin with the addition of flow control. A parallel compressor model (DYNTECC) was utilized to predict changes in the stability margin of a representative compression system (NASA Stage 35). Without flow control, all three cases show similar reduced stability margins on the order of 30% of the original stability margin for NASA Stage 35 at 70% corrected rotor speed. With the addition of flow control, the cruise condition tested improved the stability margin to 80% of the original value while the off-design conditions recover to 60% of the original margin. Overall, the flow control has been found to be extremely beneficial in improving the operating range of a compression system for the same inlet duct without flow control.
Method for making 2-electron response reduced density matrices approximately <i>N</i>-representable (2018)

In methods like geminal-based approaches or coupled cluster that are solved using the projected Schrödinger equation, direct computation of the 2-electron reduced density matrix (2-RDM) is impractical and one falls back to a 2-RDM based on response theory. However, the 2-RDMs from response theory are not N-representable. That is, the response 2-RDM does not correspond to an actual physical N-electron wave function. We present a new algorithm for making these non-N-representable 2-RDMs approximately N-representable, i.e., it has the right symmetry and normalization and it fulfills the P-, Q-, and G-conditions. Next to an algorithm which can be applied to any 2-RDM, we have also developed a 2-RDM optimization procedure specifically for seniority-zero 2-RDMs. We aim to find the 2-RDM with the right properties which is the closest (in the sense of the Frobenius norm) to the non-N-representable 2-RDM by minimizing the square norm of the difference between this initial response 2-RDM and the targeted 2-RDM under the constraint that the trace is normalized and the 2-RDM, Q-matrix, and G-matrix are positive semidefinite, i.e., their eigenvalues are non-negative. Our method is suitable for fixing non-N-representable 2-RDMs which are close to being N-representable. Through the N-representability optimization algorithm we add a small correction to the initial 2-RDM such that it fulfills the most important N-representability conditions.
Multi-perspective multi-layer interaction on mobile device (2013)

We propose a novel multi-perspective multi-layer interaction using a mobile device, which provides an immersive experience of 3D navigation through an object. The mobile device serves as a window, through which the user can observe the object in detail from various perspectives by orienting the device differently. Various layers of the object can also be shown while users move the device away and toward themselves. Our approach is real-time, completely mobile (running on Android) and does not depend on external sensor/displays (e.g., camera and projector).
LCDs modeling by 2*2 and 4*4 propagation matrix methods and by generalized geometrical optics approximation (2002)

The authors present recent results on modeling of the electrooptics of various LCDs (liquid crystal displays) as a function of applied voltage and viewing angle by a newly formulated fast 2*2 propagation matrix method and the generalized geometrical optics approximation (GGOA). Good agreement between the 2*2 and 4*4 matrix methods and the GGOA is demonstrated. In general, GGOA's results are the same as those obtained by the 2*2 method, and the maximum discrepancy between the 2*2 and 4*4 matrix methods is less than 3%. However, the computation time for the 2*2 propagation matrix is less than one half that of the faster 4*4 propagation matrix. In addition, a simple analytic formula for calculating the electrooptics as a function of viewing angle is obtained. An improved 4*4 propagation matrix method to eliminate the Fabry-Perot effects was also obtained.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Exploiting mosquito sugar feeding to detect mosquito-borne pathogens (2010)

Arthropod-borne viruses (arboviruses) represent a global public health problem, with dengue viruses causing millions of infections annually, while emerging arboviruses, such as West Nile, Japanese encephalitis, and chikungunya viruses have dramatically expanded their geographical ranges. Surveillance of arboviruses provides vital data regarding their prevalence and distribution that may be utilized for biosecurity measures and the implementation of disease control strategies. However, current surveillance methods that involve detection of virus in mosquito populations or sero-conversion in vertebrate hosts are laborious, expensive, and logistically problematic. We report a unique arbovirus surveillance system to detect arboviruses that exploits the process whereby mosquitoes expectorate virus in their saliva during sugar feeding. In this system, infected mosquitoes captured by CO(2)-baited updraft box traps are allowed to feed on honey-soaked nucleic acid preservation cards within the trap. The cards are then analyzed for expectorated virus using real-time reverse transcription-PCR. In field trials, this system detected the presence of Ross River and Barmah Forest viruses in multiple traps deployed at two locations in Australia. Viral RNA was preserved for at least seven days on the cards, allowing for long-term placement of traps and continuous collection of data documenting virus presence in mosquito populations. Furthermore no mosquito handling or processing was required and cards were conveniently shipped to the laboratory overnight. The simplicity and efficacy of this approach has the potential to transform current approaches to vector-borne disease surveillance by streamlining the monitoring of pathogens in vector populations.
The synthesis of tritiated (<i>R</i>)‐2‐methoxy‐<i>N</i>‐<i>n</i>‐propyl‐nor‐apomorphine (MNPA) (2007)

Abstract A method for the preparation of [ 3 H]‐MNPA (( R )‐2‐methoxy‐ N ‐ n ‐propyl‐norapomorphine) has been developed addressing the regioisomer problem as well as the oxidation problem. ( R )‐2, 10, 11‐trihydroxy‐ N ‐ n ‐propyl‐norapomorphine was protected with 10, 11‐dibenzyl or 10, 11‐acetonide. The pure precursor was then methylated using [ 3 H]‐methyliodide. The product was isolated after deprotection and high‐pressure liquid chromatography (HPLC) purification. Ascorbic acid was used as an antioxidant in the HPLC eluent and the stock solution. Characterization of the intermediates and products with 3 H‐ and 1 H‐NMR was performed. A specific activity of 3.1 TBq/mmol (83.8 Ci/mmol) and 98.9% purity was obtained. Copyright © 2007 John Wiley & Sons, Ltd.
Chemical Analysis of Different Parts of Date Palm (Phoenix dactylifera L.) Using Ultimate, Proximate and Thermo-Gravimetric Techniques for Energy Production (2016)

The objective of the study was to analyze chemical structure of date palm (Phoenix dactylifera L.) by employing ultimate, proximate and thermo-gravimetric techniques. Samples from different anatomical parts of date palm, namely trunk, frond base, frond midrib, leaflets, coir, fruit stem, date stone, and fruit empty bunches were considered for the experiments. Based on the findings in this work palm leaflet samples gave the highest amount of extractives content (32.9%), followed by date palm stone specimens with 31.5%. Cellulose content values of 32.8% and 47.5% were obtained for date palm stone and palm coir samples, respectively. Overall the hemicellulose contents of all samples were relatively similar to those of typical wood or non-wood lignocellulosic materials with the two exceptions of palm coir and palm leaflets. Both palm coir and palm leaflet specimens had 12.6% and 16.1% hemicellulose content. Volatile matter values of 74.3% and 87.5% were determined for leaflets and fruit empty bunch samples. The ash content of the samples ranged from 1.4% for date stone to 15.2% for palm leaflet samples. The thermal decomposition was completed below a temperature of 500 °C with an exception of those samples taken from palm leaflets. Taken together the data indicate that date palm stone and palm coir revealed could be more viable for renewable energy production than the other specimens considered in this work.
Cardiac Steatosis Associates With Visceral Obesity in Nondiabetic Obese Men (2013)

We suggest that visceral obesity is the best predictor of epicardial and pericardial fat in abdominally obese subjects. Myocardial TG content may present a separate entity that is influenced by factors beyond visceral adiposity.
Beyond the Pioneer Days! Where is Reception Research Going? (2001)

Sciendo provides publishing services and solutions to academic and professional organizations and individual authors. We publish journals, books, conference proceedings and a variety of other publications.
Structural Characterization of Single-Walled Carbon Nanotube Bundles by Experiment and Molecular Simulation (2005)

A procedure, combining molecular simulation, Raman spectroscopy, and standard nitrogen adsorption, is developed for structural characterization of single-walled carbon nanotube (SWNT) samples. Grand canonical Monte Carlo simulations of nitrogen adsorption are performed on the external and internal adsorption sites of homogeneous arrays of SWNTs of diameters previously determined by Raman spectroscopy of the sample. The results show the importance of the peripheral grooves of a nanotube bundle at low relative pressure and the insensitivity of nanotube diameter toward adsorption on the external surface of the bundle at higher pressures. Simulations also reveal that samples containing thin nanotubes have less internal adsorption capacity that saturates at lower pressure than those comprising large diameter nanotubes. The fraction of open-ended nanotubes in a sample can be estimated by scaling the simulated internal adsorption inside nanotubes to obtain a near perfect fit between simulated and experimental isotherms. This procedure allows extrapolation of adsorption properties to conditions in which all nanotubes in the sample are open-ended.