gebhart/patrepeval huggingface dataset:
Incretins: Their physiology and application in the treatment of diabetes mellitus (2013)

Therapies targeting the action of incretin hormones have been under close scrutiny in recent years. The incretin effect has been defined as postprandial enhancement of insulin secretion by gut-derived factors. Likewise, incretin mimetics and incretin effect amplifiers are the two different incretin-based treatment strategies developed for the treatment of diabetes. Although, incretin mimetics produce effects very similar to those of natural incretin hormones, incretin effect amplifiers act by inhibiting dipeptidyl peptidase-4 (DPP-4) enzyme to increase plasma concentration of incretins and their biologic effects. Because glucagon-like peptide-1 (GLP-1) is an incretin hormone with various anti-diabetic actions including stimulation of glucose-induced insulin secretion, inhibition of glucagon secretion, hepatic glucose production and gastric emptying, it has been evaluated as a novel therapeutic agent for the treatment of type 2 diabetes mellitus (T2DM). GLP-1 also manifests trophic effects on pancreas such as pancreatic beta cell growth and differentiation. Because DPP-4 is the enzyme responsible for the inactivation of GLP-1, DPP-4 inhibition represents another potential strategy to increase plasma concentration of GLP-1 to enhance the incretin effect. Thus, anti-diabetic properties of these two classes of drugs have stimulated substantial clinical interest in the potential of incretin-based therapeutic agents as a means to control glucose homeostasis in T2DM patients. Despite this fact, clinical use of GLP-1 mimetics and DPP-4 inhibitors have raised substantial concerns owing to possible side effects of the treatments involving increased risk for pancreatitis, and C-cell adenoma/carcinoma. Thus, controversial issues in incretin-based therapies under development are reviewed and discussed in this manuscript.
Prostate cancer cells tolerate a narrow range of androgen receptor expression and activity (2007)

CaP cells expressing endogenous AR are sensitive to both increases and decreases in AR expression levels and activity. AR in CaP cells is delicately regulated to provide a balance between cell death and continued proliferation. Thus, both approaches, inhibition and over-stimulation of AR activity, may have therapeutic value for treatment of prostate cancer.
Practical Deep Reinforcement Learning Approach for Stock Trading (2018)

Stock trading strategy plays a crucial role in investment companies. However, it is challenging to obtain optimal strategy in the complex and dynamic stock market. We explore the potential of deep reinforcement learning to optimize stock trading strategy and thus maximize investment return. 30 stocks are selected as our trading stocks and their daily prices are used as the training and trading market environment. We train a deep reinforcement learning agent and obtain an adaptive trading strategy. The agent's performance is evaluated and compared with Dow Jones Industrial Average and the traditional min-variance portfolio allocation strategy. The proposed deep reinforcement learning approach is shown to outperform the two baselines in terms of both the Sharpe ratio and cumulative returns.
Xylanase XynA from the hyperthermophilic bacterium <i>Thermotoga maritima</i>: Structure and stability of the recombinant enzyme and its isolated cellulose‐binding domain (1997)

The hyperthermophilic bacterium Thermotoga maritima is capable of gaining metabolic energy utilizing xylan. XynA, one of the corresponding hydrolases required for its degradation, is a 120-kDa endo-1,4-D-xylanase exhibiting high intrinsic stability and a temperature optimum approximately 90 degrees C. Sequence alignments with other xylanases suggest the enzyme to consist of five domains. The C-terminal part of XynA was previously shown to be responsible for cellulose binding (Winterhalter C, Heinrich P, Candussio A, Wich G, Liebl W. 1995. Identification of a novel cellulose-binding domain within the multi-domain 120 kDa Xylanase XynA of the hyperthermophilic bacterium Thermotoga maritima. Mol Microbiol 15:431-444). In order to characterize the domain organization and the stability of XynA and its C-terminal cellulose-binding domain (CBD), the two separate proteins were expressed in Escherichia coli. CBD, because of its instability in its ligand-free form, was expressed as a glutathione S-transferase fusion protein with a specific thrombin cleavage site as linker. XynA and CBD were compared regarding their hydrodynamic and spectral properties. As taken from analytical ultracentrifugation and gel permeation chromatography, both are monomers with 116 and 22 kDa molecular masses, respectively. In the presence of glucose as a ligand, CBD shows high intrinsic stability. Denaturation/renaturation experiments with isolated CBD yield > 80% renaturation, indicating that the domain folds independently. Making use of fluorescence emission and far-UV circular dichroism in order to characterize protein stability, guanidine-induced unfolding of XynA leads to biphasic transitions, with half-concentrations c1/2 (GdmCl) approximately 4 M and > 5 M, in accordance with the extreme thermal stability. At acid pH, XynA exhibits increased stability, indicated by a shift of the second guanidine-transition from 5 to 7 M GdmCl. This can be tentatively attributed to the cellulose-binding domain. Differences in the transition profiles monitored by fluorescence emission and dichroic absorption indicate multi-state behavior of XynA. In the case of CBD, a temperature-induced increase in negative ellipticity at 217 nm is caused by alterations in the environment of aromatic residues that contribute to the far-UV CD in the native state.
Dispersion and Rheology of Multiwalled Carbon Nanotubes in Unsaturated Polyester Resin (2013)

Dispersions of multiwalled carbon nanotubes (MWNT) in unsaturated polyester resin (UPR) were studied by rheology and optical microscopy. The experimentally determined percolation threshold of 0.097 vol % was very close to the theoretical value of 0.085 vol % expected for individually dispersed MWNT with an average aspect ratio of 590. Rheological analysis showed that the dispersions formed an open network with a fractal dimension of 1.28. The results were compared with single-walled carbon nanotubes (SWNT) and polystyrene (PS)-modified MWNT (MWNT-PS). The SWNT formed stronger networks than MWNT, but the MWNT-PS networks were weaker than unmodified MWNT.
Mild trifunctional protein deficiency is associated with progressive neuropathy and myopathy and suggests a novel genotype-phenotype correlation. (1998)

Human mitochondrial trifunctional protein (TFP) is a heterooctamer of four alpha- and four beta-subunits that catalyzes three steps in the beta-oxidation spiral of long-chain fatty acids. TFP deficiency causes a Reye-like syndrome, cardiomyopathy, or sudden, unexpected death. We delineated the molecular basis for TFP deficiency in two patients with a unique phenotype characterized by chronic progressive polyneuropathy and myopathy without hepatic or cardiac involvement. Single-stranded conformation variance and nucleotide sequencing identified all patient mutations in exon 9 of the alpha-subunit. One patient is homozygous for the T845A mutation that substitutes aspartic acid for valine at residue 246. The second patient is a compound heterozygote for the T914A that substitutes asparagine for isoleucine at residue 269 and a C871T that creates a premature termination at residue 255. Allele-specific oligonucleotide hybridization studies revealed undetectable levels of the mRNA corresponding to the mutant allele carrying the termination codon. This study suggests a novel genotype-phenotype correlation in TFP deficiency; that is, mutations in exon 9 of the alpha-subunit, which encodes a linker domain between the NH2-terminal hydratase and the COOH-terminal 3-hydroxyacyl-CoA dehydrogenase, result in a unique neuromuscular phenotype.
Highly selective aromatization and isomerization of <i>n</i>-alkanes from bimetallic Pt–Zn nanoparticles supported on a uniform aluminosilicate (2019)

A bimetallic-support interaction through Pt-Zn nanoparticles and uniform compact cylindrical ZSM-5 particles shows selectivity over 90% towards BTX and i-octane at controlled 60% conversion with negligible coke formation when reforming n-octane. This is a significant improvement compared to alternative Pt-Zn on conventional ZSM-5, with a selectivity of less than 40%.
Defining the Cellular Phenotype of “Ankyrin-B Syndrome” Variants (2007)

We present the first description of differences in cellular phenotypes conferred by specific ANK2 variants. We propose that the various degrees of ankyrin-B loss of function contribute to the range of severity of cardiac dysfunction. These data identify ANK2 variants as modulators of human arrhythmias, provide the first insight into the clinical spectrum of "ankyrin-B syndrome," and reinforce the role of ankyrin-B-dependent protein interactions in regulating cardiac electrogenesis.
The security of cryptographic hashes (2011)

Password based or simple authentication is the most commonly used type of authentication. The decrease in resource costs and emergence of grid computing necessitates cryptologists and system architects reevaluate their chosen algorithm and password policies to address the rapidly weakening SHA1 and MD5. The major modern cryptographic hashing methods are easily computed with modern hardware and preimage attacks. Cloud computing and widely-available botnet-building tools have vastly increased the requisite password policy requirements to assure a secure cryptosystem. This paper provides an alternative password complexity schemes suitable for four distinct cryptosystem security levels.
A Self-Tuning Procedure for Resource Management in InterCloud Computing (2016)

InterCloud Computing is a new cloud paradigm designed to guarantee service quality or performance and availability of on-demand resources. InterCloud enables cloud interoperability by promoting the interworking of cloud systems from different cloud providers using standard interfacing. Resource management in InterCloud, considered as an important functional requirement, has not attracted commensurate research attention. The focus of this paper is to propose a Software Cybernetic approach, in the form of an adaptive control framework, for efficient management of shared resources in peer-to-peer InterCloud computing. This research effort adopts cooperative game theory to model resource management in InterCloud. The space of cooperative arrangements (resource sharing) between the participant cloud systems is presented by using Integer Partitioning to characterise the worst case communication complexity in peer to peer InterCloud. Essentially, this paper presents an Integer partition based anytime algorithm as an optimal cost solution to the bi-objective optimisation problem in resource management, anchored principally on practical trade-off between the desired performance (quality of service) and communication complexity of collaborating resource clouds.
BayesLoc: A robust location program for multiple seismic events given an imperfect earth model and error-corrupted seismic data (2011)

Abstract not provided
Effectiveness of parallel joins (1990)

The effectiveness of parallel processing of relational join operations is examined. The skew in the distribution of join attribute values and the stochastic nature of the task processing times are identified as the major factors that can affect the effective exploitation of parallelism. Expressions for the execution time of parallel hash join and semijoin are derived and their effectiveness analyzed. When many small processors are used in the parallel architecture, the skew can result in some processors becoming sources of bottleneck while other processors are being underutilized. Even in the absence of skew, the variations in the processing times of the parallel tasks belonging to a query can lead to high task synchronization delay and impact the maximum speedup achievable through parallel execution. For example, when the task processing time on each processor is exponential with the same mean, the speedup is proportional to P/ln(P) where P is the number of processors. Other factors such as memory size, communication bandwidth, etc., can lead to even lower speedup. These are quantified using analytical models.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Real-Time Vehicle Detection Algorithm Based on Vision and Lidar Point Cloud Fusion (2019)

Vehicle detection is one of the most important environment perception tasks for autonomous vehicles. The traditional vision-based vehicle detection methods are not accurate enough especially for small and occluded targets, while the light detection and ranging- (lidar-) based methods are good in detecting obstacles but they are time-consuming and have a low classification rate for different target types. Focusing on these shortcomings to make the full use of the advantages of the depth information of lidar and the obstacle classification ability of vision, this work proposes a real-time vehicle detection algorithm which fuses vision and lidar point cloud information. Firstly, the obstacles are detected by the grid projection method using the lidar point cloud information. Then, the obstacles are mapped to the image to get several separated regions of interest (ROIs). After that, the ROIs are expanded based on the dynamic threshold and merged to generate the final ROI. Finally, a deep learning method named You Only Look Once (YOLO) is applied on the ROI to detect vehicles. The experimental results on the KITTI dataset demonstrate that the proposed algorithm has high detection accuracy and good real-time performance. Compared with the detection method based only on the YOLO deep learning, the mean average precision (mAP) is increased by 17%.
Per-survivor processing and tentative decisions: what is in between? (1996)

In per-survivor processing (PSP), the number of parameter estimators equals the number of retained hypothetical data sequences (survivors). The authors propose an algorithm which uses an arbitrary number of parameter estimators and compromises between the two extremes of tentative decisions (one parameter estimator) and PSP. Specific applications to reduced state sequence estimation (RSSE) and maximum likelihood sequence estimation (MLSE) with adaptive tracking of a fading channel are considered.
Structures of α-type ions formed in the 157 nm photodissociation of singly-charged peptide ions (2006)

One hundred fifty-seven nm photodissociation of singly-charged peptide ions induces the cleavage of alpha-carbon to carbonyl-carbon bonds along the backbone. a(n) + 1 radical ions are observed as the primary photolysis products of peptides with N-terminal arginines in a linear ion trap mass spectrometer. The radical elimination pathways undertaken by the a(n) + 1 radical ions to form more stable even-electron species are studied in hydrogen-deuterium (H/D) exchange experiments. Two types of a(n) ions along with d-type ions are observed as secondary elimination products. The relative abundance of each depends on the C-terminal residue of the radical fragment ion.
New autofocusing technique using the frequency selective weighted median filter for video cameras (1999)

Most conventional autofocusing techniques based on the gradient estimator are very sensitive to noise. A new autofocusing technique which is resistive to noise generated by the CCD of video cameras is proposed. In the proposed scheme, the frequency selective weighted median (FSWM) filter is utilized to estimate the degree of focus and the fast hill-climbing search (HCS) strategy is exploited to determine the best focused image. Since the FSWM filter can not only extract high frequency components from the image, but also eliminate impulsive noise, the proposed autofocusing method employing the FSWM criterion function can estimate the degree of focus precisely. Furthermore, the proposed real-time HCS algorithm enables the video camera to continuously focus on dynamic images. Experimental results demonstrate that the proposed technique outperforms existing techniques by enhancing the accuracy of the focus value of the video camera without the influence of noise.
Chemically Aware Model Builder (camb): an R package for property and bioactivity modelling of small molecules (2015)

Overall, camb constitutes an open-source framework to perform the following steps: (1) compound standardisation, (2) molecular and protein descriptor calculation, (3) descriptor pre-processing and model training, visualisation and validation, and (4) bioactivity/property prediction for new molecules. camb aims to speed model generation, in order to provide reproducibility and tests of robustness. QSPR and proteochemometric case studies are included which demonstrate camb's application.Graphical abstractFrom compounds and data to models: a complete model building workflow in one package.
Liver Steatosis and Increased ChREBP Expression in Mice Carrying a Liver Specific SIRT1 Null Mutation under a Normal Feeding Condition (2010)

SIRT1, a homolog of yeast Sir2, is a type III NAD(+) dependent histone and protein deacetylase. Previous studies of mice carrying liver specific deletion of exon 4 of the Sirt1 gene revealed opposite responses of mutant mice to a high-fat diet in terms of fatty liver formation, which obscures the function of SRIT1 in liver development and lipid metabolism. To investigate this, we deleted exons 5 and 6 of Sirt1 in the liver by using a Cre-loxP approach. Western blot using an antibody to N-terminal SIRT1 does not detect a truncated protein in the liver of the mutant mice (Sirt1(flox5-6/flox5-6);Alb-Cre), suggesting a null mutation for SIRT1 is generated in the liver. Unlike the previously reported phenotypes, the Sirt1(flox5-6/flox5-6);Alb-Cre mice develop fatty liver under a normal feeding condition. The disease starts at two months of age and incidence increases as the animals become older, affecting 78% of them when they are over one year of age. We showed that the steatosis is accompanied by altered expression of a number of genes, including increased expression of ChREBP, which acts as one of the central determinants of lipid synthesis in the liver. This data uncovers an important role of SIRT1 in regulating lipid metabolism in the liver, and the SIRT1 mutant mice may serve as an animal model for studying human fatty liver disease and facilitate the development of effective therapeutic approach for the disease.
A Multivariate Singular Spectrum Analysis Approach To Clinically-Motivated Movement Biometrics (2014)

Publication in the conference proceedings of EUSIPCO, Lisbon, Portugal, 2014
Two-dimensional electron mobility limitation mechanisms in<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:msub><mml:mi>Al</mml:mi><mml:mi>x</mml:mi></mml:msub><mml:msub><mml:mi>Ga</mml:mi><mml:mrow><mml:mn>1</mml:mn><mml:mo>−</mml:mo><mml:mi>x</mml:mi></mml:mrow></mml:msub><mml:mi mathvariant="normal">N</mml:mi><mml:mo>∕</mml:mo><mml:mi>GaN</mml:mi></mml:mrow></mml:math>heterostructures (2005)

We analyze electron scattering from phonons, ionized impurities, line dislocations, and interface roughness at an ${\mathrm{Al}}_{x}{\mathrm{Ga}}_{1\ensuremath{-}x}\mathrm{N}∕\mathrm{GaN}$ interface. These mechanisms are responsible for mobility limitations in a two-dimensional electron gas. Scattering from charged dislocation lines, ionized impurities, and surface roughness are added to the lattice scattering processes. The dislocation line scattering is described by a new analytical model for the two-dimensional electron scattering. The total mobility variations with temperature, 10--500 K, and electron concentration, $0.05\text{--}2\ifmmode\times\else\texttimes\fi{}{10}^{13}\phantom{\rule{0.3em}{0ex}}{\mathrm{cm}}^{\ensuremath{-}2}$, were analyzed. Calculations were compared with available and own experimental data in the temperature range 10--300 K. At temperatures below 50 K the ionized impurity scattering and line dislocation scattering were found to limit the mobility. For temperatures at and above room temperature the optical phonon scattering was predominant. For samples having a rough interface between the AlGaN top layer and the GaN channel there was additional roughness scattering at both high and low temperatures. Therefore, to utilize the heterostructures in field effect transistors, operating at high power levels at or above 300 K, several parameters must be carefully controlled. For a two-dimensional electron gas concentration of $1\ifmmode\times\else\texttimes\fi{}{10}^{13}\phantom{\rule{0.3em}{0ex}}{\mathrm{cm}}^{\ensuremath{-}2}$ with mobility above $1500\phantom{\rule{0.3em}{0ex}}{\mathrm{cm}}^{2}∕\mathrm{V}\phantom{\rule{0.2em}{0ex}}\mathrm{s}$ at room temperature, the ionized impurities should be less than $1\ifmmode\times\else\texttimes\fi{}{10}^{17}\phantom{\rule{0.3em}{0ex}}{\mathrm{cm}}^{\ensuremath{-}3}$ and the line dislocation density below $1\ifmmode\times\else\texttimes\fi{}{10}^{10}\phantom{\rule{0.3em}{0ex}}{\mathrm{cm}}^{\ensuremath{-}2}$. Further, the root-mean-square value of the surface roughness need to be less than 1 nm with the lateral surface roughness correlation length larger than 5 nm.
Automatic Extraction of Data from Bar Charts (2015)

Scientific charts are an effective tool to visualize numerical data trends. They appear in a wide range of contexts, from experimental results in scientific papers to statistical analyses in business reports. The abundance of scientific charts in the web has made it inevitable for search engines to include them as indexed content. However, the queries based on only the textual data used to tag the images can limit query results. Many studies exist to address the extraction of data from scientific diagrams in order to improve search results. In our approach to achieving this goal, we attempt to enhance the semantic labeling of the charts by using the original data values that these charts were designed to represent. In this paper, we describe a method to extract data values from a specific class of charts, bar charts. The extraction process is fully automated using image processing and text recognition techniques combined with various heuristics derived from the graphical properties of bar charts. The extracted information can be used to enrich the indexing content for bar charts and improve search results. We evaluate the effectiveness of our method on bar charts drawn from the web as well as charts embedded in digital documents.
Operation of CMOS devices with a floating well (1987)

The operation of CMOS devices in an electrically floating well is considered. The impetus for this study is the potential reduction of silicon area consumption and wiring complexity involved in contacting the well diffusion. Theoretical expectations for device behavior are presented and corroborated with experimental data; consideration extends to PMOSFET device characteristics, subthreshold behavior, as well as junction leakage and breakdown voltage. Examination of n-channel devices, in p-wells, indicates that these are more susceptible to floating well effects, as expected. The primary changes in device behavior include generation of substrate current, slight increase in leakage currents, and some degradation in latchup holding voltage. Results indicate that an electrically floating well does not seem to have significant adverse effects on transistor operation.