gebhart/patrepeval huggingface dataset:
Contribution of the Liver and Extrasplanchnic Tissues to the Hypoglycemic Action of Dichloroacetate in the Conscious Dog (1982)

In a previous study, administration of sodium dichloroacetate (DCA) to 48-h fasted dogs had no effect on glucose production (Ra), utilization (Rd), or clearance, possibly because the direct effects of DCA were offset by the consequences of the fall in plasma insulin that it caused. To examine this possibility, dichloroacetate was infused (0.4 mg/kg min) for 5 h into 48-h fasted conscious dogs whose insulin and glucagon levels were “clamped” at basal values using a technique that involved the peripheral infusion of somatostatin to inhibit the endocrine pancreas and intraportal replacement of insulin (273 μU/kg·min) and glucagon (1 ng/kg·min). Metabolite balances across the liver were measured using an A-V difference technique, glucose turnover was determined using a tracer technique, and gluconeogenesis was assessed by measuring the conversion of alanine and lactate into glucose. In the presence of fixed concentrations of insulin (14 μU/ml) and glucagon (162 pg/ml), DCA caused the conversion of alanine and lactate to glucose to fall by 73 ± 10﹪ (P &lt; 0.01), glucose production to fall by 19 ± 9﹪ (NS), glucose utilization to fall by 17 ± 8﹪ (NS), glucose clearance to increase by 55 ± 16﹪ (P &lt; 0.05), and the plasma glucose level to fall from 107 ± 10 to 56 ± 6 mg/dl (P &lt; 0.001) after 300 minutes. Thus, with the plasma insulin level fixed, DCA induced hypoglycemia through an effect on both glucose production and clearance. Since the effects of DCA in the above experiment were undoubtedly attenuated by the hypoglycemia that occurred, the experiment was repeated with the exception that glucose was infused to maintain euglycemia (113 ± 11 mg/dl). In this case, the conversion of alanine and lactate to glucose fell by 76 ± 1﹪ (P &lt; 0.01), endogenous glucose production fell 46 ± 11﹪ (P &lt; 0.01), glucose utilization rose 39 ± 14﹪ (P &lt; 0.05) and glucose clearance increased 40 ± 18﹪ (P &lt; 0.05). Normalization of the alanine and lactate levels during the last 90 min of the latter experiment failed to significantly change glucose production and enhanced gluconeogenic conversion only slightly. Thus, in the conscious 48-h-fasted dog, we conclude that: (1) DCA acts to reduce the insulin/glucagon molar ratio such that the production of hypoglycemia is prevented, (2) when the effect of the compound on the pancreas is prevented, DCA causes hypoglycemia by a reduction in hepatic glucose production and a stimulation of peripheral glucose uptake, and (3) the effect of DCA on glucose production is in part due to reduced gluconeogenic substrate supply, but is principally related to the action of DCA on intrahepatic enzymatic processes.
[In vitro effect of citrate and phosphates on calcium transport in the rat ileum]. (1994)

Thus in the absence of any Ca gradient along the epithelium, even at high concentration, citrate did not induced modification of ileal Ca absorption.
Construction and Evaluation on the Internal Control Mode in Overseas Mergers and Acquisitions of Resource Based Enterprise (2012)

In the context of low-carbon economy, this paper combines the overseas M&A and internal control theories to analyze the conformity risk, internal control and evaluation system of overseas M&As conducted by domestic resource-based enterprises. Besides, considering the specific risks of overseas M&As, it also generalizes the main risks and initially establishes conformity risk internal control plan and its evaluation system for domestic resource-based enterprises to conduct overseas M&A. This paper argues that efficient internal control system should be established by resource-based enterprises to management overseas M&A risks. In addition, only rationally structures and properly uses qualitative and quantitative internal control evaluation system, could internal control system of resource-based enterprises be effectively implemented and continuously improved.
Artificial neural networks for speech and vision (1994)

Neural Networks for speech processing. Neural Networks in the acquisition of speech by machine. The nervous system - fantasy and reality. Processing of complex stimuli in the mammalian cochlear nucleus. On the possible role of auditory peripheral feedback in the representation of speech sounds. Is there a role for neural networks in speech recognition? The neurosphysiology of world reading - a connectionist approach. Status versus stacks - representing grammatical strucure in a recurrent neural network. Connections and associations in language acquisition. Some relationships between artificial neural nets and hidden markov models. A learning neural tree for phoneme classification. Decision feedback learning of neural networks. Visual focus of attention in language acquisition. Integrated segmentation and recognition of handprinted characters. Neural net image analysis for postal applications - from locating address blocks to determining zip codes. Space invariant active vision. Engineering document processing with neural networks. Goal-oriented training of neural networks. Hybrid neural networks and image restoration. Dynamic systems and perception. Deterministic annealing for optimization. Neural networks in vision. A neural chip set for supervised learning and CAM. A discrete radon transform method for invariant image analysis using artificial neural networks. Recurrent neural networks and sequential machines. Non-literal transfer of information among inductive learners. Neural networks for identification and control of nonlinear systems. Using neural networks to identify DNA sequences.
Preserving Data Integrity in IoT Networks Under Opportunistic Data Manipulation (2017)

As Internet of Things (IoT) and Cyber-Physical systems become more ubiquitous and an integral part of our daily lives, it is important that we are able to trust the data aggregate from such systems. However, the interpretation of trustworthiness is contextual and varies according to the risk tolerance attitude of the concerned application and varying levels of uncertainty associated with the evidence upon which trust models act. Hence, the data integrity scoring mechanisms should have provisions to adapt to varying risk attitudes and uncertainties. In this paper, we propose a Bayesian inference model and a prospect theoretic framework for data integrity scoring that quantify the trustworthiness of data collected from IoT devices by a hub in the presence of an adversary manipulating data and an imperfect anomaly monitoring mechanism. The monitoring mechanism monitors the data being sent from each device and classifies the outcome as not compromised, compromised, and cannot be inferred. These outcomes are conceptualized as a multinomial hypothesis of a Bayesian inference model with three parameters which are then used for calculating a utility value on how reliable the aggregate data is. We use prospect theory inspired approach to quantify this data integrity score and evaluate trustworthiness of the aggregate data from the IoT framework. As decisions are based on how the data is fused, we propose two measuring models-one optimistic and another conservative. The proposed framework is validated using extensive simulation experiments. We show how data integrity scores vary under a variety of system factors like attack intensity and inaccurate detection.
Effects of Aminopyralid on Ponderosa Pine (<i>Pinus ponderosa</i>) (2012)

Abstract Invasive weed control within cleared, forested sites in the inland Northwest is complicated by the susceptibility of ponderosa pine to synthetic auxin herbicide injury, used to control broadleaf weeds. Herbicide injury may lead to decreased canopy volume and variable growth patterns of ponderosa pine, which is a commercially important tree species. Herbicide injury to ponderosa pine can be decreased with dormant-season applications, a timing suited to control many weeds that may occur within ponderosa pine sites. However, spring-timed herbicide applications are needed to control other weeds, such as meadow hawkweed, and that application timing coincides with active ponderosa pine growth. In this study, we determined the level of injury to ponderosa pine resulting from spring-timed aminopyralid, clopyralid, and picloram applications beneath ponderosa pine canopies. Herbicide injury to leader and lateral candles and needle elongation was evaluated 1 and 12 mo after treatment (MAT). Low rates of aminopyralid alone (0.05 kg ae ha −1 [3 fl oz ac −1 ]) and aminopyralid + clopyralid (0.05 + 0.10 kg ae ha −1 ) resulted in herbicide injury ratings that did not differ from untreated trees. The high rate of aminopyralid (0.12 kg ae ha −1 ) resulted in leader candle injury on 75% of treated trees, 5% of which were necrotic at 12 MAT. Herbicide injury was observed on 30% of lateral candles. In comparison, picloram (0.28 kg ae ha −1 ) treatments resulted in necrosis or mortality of leader and lateral candles on 65% and 40% of trees, respectively, at 12 MAT. Results suggest that use of low rates of aminopyralid alone or in combination with low rates of clopyralid minimizes the risk of nontarget injury to ponderosa pine (> 5 yr old) while controlling hawkweed with a spring application.
Experimental Measurements of Ingestion Through Turbine Rim Seals: Part 1—Externally-Induced Ingress (2011)

This paper describes a new research facility which experimentally models hot gas ingestion into the wheel-space of an axial turbine stage. Measurements of CO2 gas concentration in the rim-seal region and inside the cavity are used to assess the performance of two generic (though engine-representative) rim-seal geometries in terms of the variation of concentration effectiveness with sealing flow rate. The variation of pressure in the turbine annulus, which governs this externally-induced (EI) ingestion, was obtained from steady pressure measurements downstream of the vanes and near the rim seal upstream of the rotating blades. Although the ingestion through the rim seal is a consequence of an unsteady, three-dimensional flow field and the cause-effect relationship between pressure and the sealing effectiveness is complex, the experimental data is shown to be successfully calculated by simple effectiveness equations developed from a previously published orifice model. The data illustrate that, for similar turbine-stage velocity triangles, the effectiveness can be correlated using a non-dimensional sealing parameter, Φo. In principle, and within the limits of dimensional similitude, these correlations should apply to a geometrically-similar engine at the same operating conditions. Part 2 of this paper describes an experimental investigation of rotationally-induced (RI) ingress, where there is no mainsteam flow and consequently no circumferential variation of external pressure.
Stack Compression of PEM Fuel Cells (2004)

The effect of dimensional changes of fuel cell components from temperature and hydration cycles on the stack compression is investigated in this paper. Using a simple spring model including the membrane electrode assembly (MEA), gas diffusion layers (GDL), bipolar plates, seal gaskets, current collectors, insulation plates, end plates, and side plates, we find significant compression changes from 30% over-compression to 23% compression loss from both temperature and humidity changes. The wide range of variation in stack compression is attributed to the swelling behavior of polymer electrolyte membranes, the compression behavior of gas diffusion layers, and the design of stack assembly. This paper also reports the use of finite element method to investigate the compression of MEA and GDL over the channel area where MEA buckling from membrane swelling can result in separation of MEA and GDL. It is suggested that the compression over channels can be improved with higher transverse shear modulus in the GDL in addition to the use of narrower channels. In this paper, we will also discuss the challenges facing the fuel cell manufacturers and component suppliers on the needs for new materials with improved mechanical properties and better testing/modeling techniques to help achieving stable compression and better fuel cell stack designs.
“sure, i did the right thing”: a system for sarcasm detection in speech (2013)

While a fair amount of work has been done on automatically detecting emotion in human speech, there has been little research on sarcasm detection. Although sarcastic speech acts are inherently subjective, humans have relatively clear intuitions as to what constitutes sarcastic speech. In this paper, we present a system for automatic sarcasm detection. Using a new acted speech corpus that is annotated for sarcastic and sincere speech, we examine a number of features that are indicative of sarcasm. The first set of features looks at a baseline of basic acoustic features that have been found to be helpful in human sarcasm identification. We then present an effective way of modeling and applying prosodic contours to the task of automatic sarcasm detection. This approach applies sequential modeling to categorical representations of pitch and intensity contours obtained via k-means clustering. Using a SimpleLogistic (LogitBoost) classifier, we are able to predict sarcasm with 81.57% accuracy. This result suggests that certain pitch and intensity contours are predictive of sarcastic speech.
Maskless micromachining with high-energy focused ion beams (2005)

High Energy Focused Ion Beam (HEFIB) direct writing is proving to be an attractive and powerful maskless lithography technique for production of high aspect ratio 3-D microstructures in polymer resists and semiconductors. HEFIB with Proton beam (P-beam writing) offers several unique advantages for microfabrication applications: (a) the focused beam is scanned directly across the sample (no mask), (b) the range of the beam in the sample is well defined with minimal lateral straggling than any other techniques, (c) use of different energies allows different exposure depths, (d) complex shapes are possible and (e) patterns can be made within short exposure time. These characteristics allow P-beam writing to be applied in several areas of microfabrication including (a) rapid (and cheaper) prototyping of 3-D microstructures, (b) custom built structures for basic research, (c) mask production and (d) stamp and mold manufacturing. Recently we have implemented high energy P-beam direct writing with a nuclear microprobe at the Louisiana Accelerator Center (LAC). We are presenting some of the modular structures illustrating the capabilities of this maskless micromachining technique and possible application into Micro-Electro-Mechanical Systems (MEMS) devices.
Contra-diffusion synthesis of ZIF-8 films on a polymer substrate (2011)

ZIF-8 films were successfully prepared on a flexible nylon substrate with a contra-diffusion synthesis method, and gas permeation experiments indicated that the films were continuous and compact.
Copy-and-paste between overlapping windows (2007)

Copy-and-paste, one of the fundamental operations of modern userinterfaces, can be performed through various means (e.g. using the keyboard, mouse-based direct manipulation or menus). When users copy-and-paste between two different windows, the process is complicated by window management tasks. In this paper, we propose two new window management techniques to facilitate these tasks in the particular case of partially overlapping windows. We describe an experiment comparing four commonly-used copy-and-paste techniques under four window management conditions -- non-overlapping windows, partially overlapping windows, and partially overlapping ones with one of our two window management techniques. Results show that our new window management techniques significantly reduce task completion time for all copy-and-paste techniques. They also show that X Window copy-and-paste is faster than the other three techniques under all four window management conditions.
Guanine quadruplex DNA structure restricts methylation of CpGdinucleotidesgenome-wide (2010)

Cytosine methylation in mammals is important for epigenetic control of the transcriptome. Although altered methylation is frequently encountered in disease situations, particularly cancer, the relationship between genome-wide methylation and DNA structure is poorly understood. It is now evident that alternative DNA forms are functionally relevant in replication, recombination and transcription. Herein, we researched the role of alternative DNA structure in cytosine methylation using quadruplex DNA as a case study. Our findings from analysis of 2.1 million CpGs in humans, across 12 tissues from the Human Epigenome Project (HEP), revealed a striking correlation within each tissue: CpGs with low methylation were enriched (P = 5.24E(-20)) whereas CpGs with high methylation were relatively depleted (P = 9.28E(-15)), within quadruplex-forming regions. This was further substantiated on considering 1.07E(8) methylcytosines from genome-wide sequencing within embryonic stem cells and differentiated fibroblasts. To further test the predictions we experimentally determined methylation in >600,000 CpGs across 18 individuals using bisulfite mapping and found significantly low methylation of CpGs within quadruplex-forming regions (P = 1.36E(-08)). Together, these suggest the role of guanine-quadruplexes in CpG methylation and directly impact our understanding of the inter-relationship between DNA conformation and global cytosine methylation.
ViDaExpert: user-friendly tool for nonlinear visualization and analysis of multidimensional vectorial data (2014)

ViDaExpert is a tool for visualization and analysis of multidimensional vectorial data. ViDaExpert is able to work with data tables of "object-feature" type that might contain numerical feature values as well as textual labels for rows (objects) and columns (features). ViDaExpert implements several statistical methods such as standard and weighted Principal Component Analysis (PCA) and the method of elastic maps (non-linear version of PCA), Linear Discriminant Analysis (LDA), multilinear regression, K-Means clustering, a variant of decision tree construction algorithm. Equipped with several user-friendly dialogs for configuring data point representations (size, shape, color) and fast 3D viewer, ViDaExpert is a handy tool allowing to construct an interactive 3D-scene representing a table of data in multidimensional space and perform its quick and insightfull statistical analysis, from basic to advanced methods.
RAS/MAPK Activation Is Associated with Reduced Tumor-Infiltrating Lymphocytes in Triple-Negative Breast Cancer: Therapeutic Cooperation Between MEK and PD-1/PD-L1 Immune Checkpoint Inhibitors (2015)

These data suggest the possibility that Ras-MAPK pathway activation promotes immune-evasion in TNBC, and support clinical trials combining MEK- and PD-L1-targeted therapies. Furthermore, Ras/MAPK activation and MHC expression may be predictive biomarkers of response to immune checkpoint inhibitors.
Biphotochromic Norbornadiene Systems (1997)

Abstract Novel biphotochromic systems containing two norbornadiene moieties in one molecule or one norbornadienyl group in 2-N-(3-phenylnorbornadiene-2-carbonyl)]-N-arylaminomethylene-(2H) benzo[b]thiophenones have been prepared. Under UV/VIS irradiation the latter compounds undergo Z/E-isomerktion acompanied by N → O acyl rearrangement and valence isomerization in the norbornadiene fragment. Bis-norbornadienyl derivatives upon irradiation convert through stepwise isomerization into corresponding quadricyclanes. The back reactions are catalyzed with trifluoroacetic acid at room temperature.
Mouse models of long QT syndrome (2006)

Congenital long QT syndrome is a rare inherited condition characterized by prolongation of action potential duration (APD) in cardiac myocytes, prolongation of the QT interval on the surface electrocardiogram (ECG), and an increased risk of syncope and sudden death due to ventricular tachyarrhythmias. Mutations of cardiac ion channel genes that affect repolarization cause the majority of the congenital cases. Despite detailed characterizations of the mutated ion channels at the molecular level, a complete understanding of the mechanisms by which individual mutations may lead to arrhythmias and sudden death requires study of the intact heart and its modulation by the autonomic nervous system. Here, we will review studies of molecularly engineered mice with mutations in the genes (a) known to cause long QT syndrome in humans and (b) specific to cardiac repolarization in the mouse. Our goal is to provide the reader with a comprehensive overview of mouse models with long QT syndrome and to emphasize the advantages and limitations of these models.
Mismatch repair and nucleotide excision repair proteins cooperate in the recognition of DNA interstrand crosslinks (2009)

DNA interstrand crosslinks (ICLs) are among the most cytotoxic types of DNA damage, thus ICL-inducing agents such as psoralen, are clinically useful chemotherapeutics. Psoralen-modified triplex-forming oligonucleotides (TFOs) have been used to target ICLs to specific genomic sites to increase the selectivity of these agents. However, how TFO-directed psoralen ICLs (Tdp-ICLs) are recognized and processed in human cells is unclear. Previously, we reported that two essential nucleotide excision repair (NER) protein complexes, XPA-RPA and XPC-RAD23B, recognized ICLs in vitro, and that cells deficient in the DNA mismatch repair (MMR) complex MutSbeta were sensitive to psoralen ICLs. To further investigate the role of MutSbeta in ICL repair and the potential interaction between proteins from the MMR and NER pathways on these lesions, we performed electrophoretic mobility-shift assays and chromatin immunoprecipitation analysis of MutSbeta and NER proteins with Tdp-ICLs. We found that MutSbeta bound to Tdp-ICLs with high affinity and specificity in vitro and in vivo, and that MutSbeta interacted with XPA-RPA or XPC-RAD23B in recognizing Tdp-ICLs. These data suggest that proteins from the MMR and NER pathways interact in the recognition of ICLs, and provide a mechanistic link by which proteins from multiple repair pathways contribute to ICL repair.
Harmonic Sum-based Method for Heart Rate Estimation using PPG Signals Affected with Motion Artifacts (2016)

Wearable photoplethysmography (WPPG) has recently become a common technology in heart rate (HR) monitoring. General observation is that the motion artifacts change the statistics of the acquired PPG signal. Consequently, estimation of HR from such a corrupted PPG signal is challenging. However, if an accelerometer is also used to acquire the acceleration signal simultaneously, it can provide helpful information that can be used to reduce the motion artifacts in the PPG signal. By dint of repetitive movements of the subjects hands while running, the accelerometer signal is found to be quasi-periodic. Over short-time intervals, it can be modeled by a finite harmonic sum (HSUM). Using the harmonic sum (HSUM) model, we obtain an estimate of the instantaneous fundamental frequency of the accelerometer signal. Since the PPG signal is a composite of the heart rate information (that is also quasi-periodic) and the motion artifact, we fit a joint harmonic sum (HSUM) model to the PPG signal. One of the harmonic sums corresponds to the heart-beat component in PPG and the other models the motion artifact. However, the fundamental frequency of the motion artifact has already been determined from the accelerometer signal. Subsequently, the HR is estimated from the joint HSUM model. The mean absolute error in HR estimates was 0.7359 beats per minute (BPM) with a standard deviation of 0.8328 BPM for 2015 IEEE Signal Processing (SP) cup data. The ground-truth HR was obtained from the simultaneously acquired ECG for validating the accuracy of the proposed method. The proposed method is compared with four methods that were recently developed and evaluated on the same dataset.